diff --git a/404.html b/404.html
index 180dca6..56e270e 100644
--- a/404.html
+++ b/404.html
@@ -24,7 +24,7 @@
     
     <a class="navbar-brand me-2" href="https://mtmorgan.github.io/cellxgenedp/index.html">cellxgenedp</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.2</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.3</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/a_using_cellxgenedp.html b/articles/a_using_cellxgenedp.html
index e163072..7e9bba6 100644
--- a/articles/a_using_cellxgenedp.html
+++ b/articles/a_using_cellxgenedp.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">cellxgenedp</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.2</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.3</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -156,70 +156,70 @@ <h2 id="collections-datasets-and-files">Collections, datasets and files<a class=
 <div class="sourceCode" id="cb7"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">db</span></span></code></pre></div>
 <pre><code><span><span class="co">## cellxgene_db</span></span>
-<span><span class="co">## number of collections(): 183</span></span>
-<span><span class="co">## number of datasets(): 1179</span></span>
-<span><span class="co">## number of files(): 2338</span></span></code></pre>
+<span><span class="co">## number of collections(): 198</span></span>
+<span><span class="co">## number of datasets(): 1285</span></span>
+<span><span class="co">## number of files(): 2538</span></span></code></pre>
 <p>The portal organizes data hierarchically, with ‘collections’
 (research studies, approximately), ‘datasets’, and ‘files’. Discover
 data using the corresponding functions.</p>
 <div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/query.html">collections</a></span><span class="op">(</span><span class="va">db</span><span class="op">)</span></span></code></pre></div>
-<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 183 × 18</span></span></span>
+<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 198 × 18</span></span></span>
 <span><span class="co">##    collection_id    collection_version_id collection_url consortia contact_email</span></span>
 <span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                 <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>        </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> ceb895f4-ff9f-4… ee098b5a-4f33-473b-b… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    panagiotis.r…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> af893e86-8e9f-4… 768170a6-c590-4900-a… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    ruichen@bcm.…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> 1d1c7275-476a-4… 609becde-c797-41bb-8… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    wey334@g.har…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> 1b014f39-f202-4… 1d88cb46-6e84-4b5b-b… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> kimberly.ald…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> 48d354f5-a5ca-4… 2862daa3-c933-43c8-9… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    Nathan.Salom…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> 43d4bb39-21af-4… 78360f02-1acc-415c-a… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> raymond.cho@…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> f7cecffa-00b4-4… 43224f82-db2a-443c-9… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    st9@sanger.a…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> f17b9205-f61f-4… 21ff4724-95e2-491b-8… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    genevieve.ko…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> 64b24fda-6591-4… e414854b-2666-4977-9… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> magness@med.…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> 48259aa8-f168-4… 44601b80-bd11-49d8-a… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> wtk22@cam.ac…</span></span>
-<span><span class="co">## <span style="color: #949494;"># ℹ 173 more rows</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> 59c9ecfe-c47d-4… 8db59637-4b42-4195-b… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> twc@stanford…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> a18474f4-ff1e-4… e1078e5b-da88-49d8-b… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> kpn2114@colu…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> f5af7a2f-ab4c-4… cb80d978-a1a2-4696-8… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> Yanling_Liao…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> aee9c366-f2fb-4… 62fc92b9-92f9-4f6f-9… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> kjensen@tgen…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> c26ca66a-63ea-4… 9b5f598e-b5d6-4d83-a… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> semil.choksi…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> e5f58829-1a66-4… 519f5ac5-1f84-4b48-9… https://cellx… <span style="color: #949494;">&lt;chr [2]&gt;</span> angela.pisco…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> b52eb423-5d0d-4… e75822ca-72d5-4d7f-a… https://cellx… <span style="color: #949494;">&lt;chr [2]&gt;</span> st9@sanger.a…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> e3aa612b-0d7d-4… 8bfe4964-eab1-4ae8-b… https://cellx… <span style="color: #949494;">&lt;chr [1]&gt;</span> hongkuiz@all…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> 1b014f39-f202-4… 8b7765f4-c81a-46fe-a… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> kimberly.ald…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> 48d354f5-a5ca-4… be9483df-dbbd-421f-b… https://cellx… <span style="color: #949494;">&lt;chr [1]&gt;</span> Nathan.Salom…</span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 188 more rows</span></span></span>
 <span><span class="co">## <span style="color: #949494;"># ℹ 13 more variables: contact_name &lt;chr&gt;, curator_name &lt;chr&gt;,</span></span></span>
 <span><span class="co">## <span style="color: #949494;">#   description &lt;chr&gt;, doi &lt;chr&gt;, links &lt;list&gt;, name &lt;chr&gt;,</span></span></span>
 <span><span class="co">## <span style="color: #949494;">#   publisher_metadata &lt;list&gt;, revising_in &lt;lgl&gt;, revision_of &lt;lgl&gt;,</span></span></span>
 <span><span class="co">## <span style="color: #949494;">#   visibility &lt;chr&gt;, created_at &lt;date&gt;, published_at &lt;date&gt;, revised_at &lt;date&gt;</span></span></span></code></pre>
 <div class="sourceCode" id="cb11"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/query.html">datasets</a></span><span class="op">(</span><span class="va">db</span><span class="op">)</span></span></code></pre></div>
-<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 1,179 × 31</span></span></span>
+<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 1,285 × 32</span></span></span>
 <span><span class="co">##    dataset_id   dataset_version_id collection_id donor_id assay  batch_condition</span></span>
 <span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>        <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>         <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>         </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> 53ce2631-36… 2f17c183-388a-4c0… ceb895f4-ff9… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;list [2]&gt;</span>     </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> 1d4128f6-c2… 94762ee1-9f9f-49e… ceb895f4-ff9… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;list [2]&gt;</span>     </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> ed419b4e-db… 758b30a8-5fb0-46c… af893e86-8e9… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> aad97cb5-f3… d6966985-89f9-485… af893e86-8e9… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> 8f10185b-e0… 63d7a3a3-9691-41d… af893e86-8e9… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> 359f7af4-87… 0f461193-282f-443… af893e86-8e9… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> 11ef37ee-21… 74253a67-927c-4cd… af893e86-8e9… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> 0129dbd9-a7… a970179d-2e9e-4d2… af893e86-8e9… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> 00e5dedd-b9… 94c0e74c-b269-4ce… af893e86-8e9… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> d319af7f-be… 3c80a5bb-8c89-433… 1d1c7275-476… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span></span>
-<span><span class="co">## <span style="color: #949494;"># ℹ 1,169 more rows</span></span></span>
-<span><span class="co">## <span style="color: #949494;"># ℹ 25 more variables: cell_count &lt;int&gt;, cell_type &lt;list&gt;, citation &lt;chr&gt;,</span></span></span>
-<span><span class="co">## <span style="color: #949494;">#   development_stage &lt;list&gt;, disease &lt;list&gt;, embeddings &lt;list&gt;,</span></span></span>
-<span><span class="co">## <span style="color: #949494;">#   explorer_url &lt;chr&gt;, feature_biotype &lt;list&gt;, feature_count &lt;int&gt;,</span></span></span>
-<span><span class="co">## <span style="color: #949494;">#   feature_reference &lt;list&gt;, is_primary_data &lt;list&gt;,</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> 595c9010-99… b4645848-e3d8-492… 59c9ecfe-c47… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> 2f05ab20-a0… 3b715360-b0ae-4e5… 59c9ecfe-c47… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> faed4f71-6b… 1cd4f84b-7fe4-463… a18474f4-ff1… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> e5233a94-9e… 80d1f22a-8f51-49d… a18474f4-ff1… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> 9b188f26-c8… 1c158adf-90ea-47b… a18474f4-ff1… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> 94423ec1-21… 7c4220a8-ce41-49f… a18474f4-ff1… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> 7bb64315-9e… 9ec33c56-14a4-481… a18474f4-ff1… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> 773b9b2e-70… f186deb1-4926-404… a18474f4-ff1… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> 63bb6359-39… a5df7f5b-34d8-421… a18474f4-ff1… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> 03d5794d-cd… 8db806f1-a518-4a2… a18474f4-ff1… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 1,275 more rows</span></span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 26 more variables: cell_count &lt;int&gt;, cell_type &lt;list&gt;, citation &lt;chr&gt;,</span></span></span>
+<span><span class="co">## <span style="color: #949494;">#   default_embedding &lt;chr&gt;, development_stage &lt;list&gt;, disease &lt;list&gt;,</span></span></span>
+<span><span class="co">## <span style="color: #949494;">#   embeddings &lt;list&gt;, explorer_url &lt;chr&gt;, feature_biotype &lt;list&gt;,</span></span></span>
+<span><span class="co">## <span style="color: #949494;">#   feature_count &lt;int&gt;, feature_reference &lt;list&gt;, is_primary_data &lt;list&gt;,</span></span></span>
 <span><span class="co">## <span style="color: #949494;">#   mean_genes_per_cell &lt;dbl&gt;, organism &lt;list&gt;, primary_cell_count &lt;int&gt;,</span></span></span>
 <span><span class="co">## <span style="color: #949494;">#   raw_data_location &lt;chr&gt;, schema_version &lt;chr&gt;, …</span></span></span></code></pre>
 <div class="sourceCode" id="cb13"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/query.html">files</a></span><span class="op">(</span><span class="va">db</span><span class="op">)</span></span></code></pre></div>
-<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 2,338 × 4</span></span></span>
+<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 2,538 × 4</span></span></span>
 <span><span class="co">##    dataset_id                             filesize filetype url                 </span></span>
 <span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                                     <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>               </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> 53ce2631-3646-4172-bbd9-38b0a44d8214  406<span style="text-decoration: underline;">108</span>808 H5AD     https://datasets.ce…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> 53ce2631-3646-4172-bbd9-38b0a44d8214  399<span style="text-decoration: underline;">752</span>425 RDS      https://datasets.ce…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> 1d4128f6-c27b-40c4-af77-b1c7e2b694e7  906<span style="text-decoration: underline;">795</span>740 H5AD     https://datasets.ce…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> 1d4128f6-c27b-40c4-af77-b1c7e2b694e7 <span style="text-decoration: underline;">1</span>060<span style="text-decoration: underline;">800</span>682 RDS      https://datasets.ce…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> ed419b4e-db9b-40f1-8593-68fdf8dfb076 <span style="text-decoration: underline;">1</span>071<span style="text-decoration: underline;">401</span>902 H5AD     https://datasets.ce…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> ed419b4e-db9b-40f1-8593-68fdf8dfb076 <span style="text-decoration: underline;">1</span>419<span style="text-decoration: underline;">579</span>253 RDS      https://datasets.ce…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> aad97cb5-f375-45ef-ae9d-178e7f5d5180  785<span style="text-decoration: underline;">137</span>201 H5AD     https://datasets.ce…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> aad97cb5-f375-45ef-ae9d-178e7f5d5180 <span style="text-decoration: underline;">1</span>025<span style="text-decoration: underline;">253</span>758 RDS      https://datasets.ce…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> 8f10185b-e0b3-46a5-8706-7f1799225d79 <span style="text-decoration: underline;">3</span>077<span style="text-decoration: underline;">438</span>912 H5AD     https://datasets.ce…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> 8f10185b-e0b3-46a5-8706-7f1799225d79 <span style="text-decoration: underline;">4</span>090<span style="text-decoration: underline;">930</span>879 RDS      https://datasets.ce…</span></span>
-<span><span class="co">## <span style="color: #949494;"># ℹ 2,328 more rows</span></span></span></code></pre>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> 595c9010-99ec-462d-b6a1-2b2fe5407871  333<span style="text-decoration: underline;">391</span>557 H5AD     https://datasets.ce…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> 595c9010-99ec-462d-b6a1-2b2fe5407871  348<span style="text-decoration: underline;">066</span>008 RDS      https://datasets.ce…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> 2f05ab20-a092-4bab-9276-3e0eb24e3fee  630<span style="text-decoration: underline;">668</span>977 H5AD     https://datasets.ce…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> 2f05ab20-a092-4bab-9276-3e0eb24e3fee  683<span style="text-decoration: underline;">935</span>787 RDS      https://datasets.ce…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> faed4f71-6b50-4fc7-bd1c-8f385dccfdce   31<span style="text-decoration: underline;">737</span>910 H5AD     https://datasets.ce…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> faed4f71-6b50-4fc7-bd1c-8f385dccfdce   26<span style="text-decoration: underline;">350</span>706 RDS      https://datasets.ce…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> e5233a94-9e43-418c-8209-6f1400c31530 <span style="text-decoration: underline;">1</span>321<span style="text-decoration: underline;">449</span>650 H5AD     https://datasets.ce…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> e5233a94-9e43-418c-8209-6f1400c31530 <span style="text-decoration: underline;">1</span>311<span style="text-decoration: underline;">136</span>088 RDS      https://datasets.ce…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> 9b188f26-c8e1-4a78-af15-622a35a371fc   36<span style="text-decoration: underline;">324</span>999 H5AD     https://datasets.ce…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> 9b188f26-c8e1-4a78-af15-622a35a371fc   30<span style="text-decoration: underline;">585</span>807 RDS      https://datasets.ce…</span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 2,528 more rows</span></span></span></code></pre>
 <p>Each of these resources has a unique primary identifier (e.g.,
 <code>file_id</code>) as well as an identifier describing the
 relationship of the resource to other components of the database (e.g.,
@@ -246,9 +246,9 @@ <h3 id="using-dplyr-to-navigate-data">Using <code>dplyr</code> to navigate data<
 <pre><code><span><span class="co">## Rows: 1</span></span>
 <span><span class="co">## Columns: 18</span></span>
 <span><span class="co">## $ collection_id         <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "283d65eb-dd53-496d-adb7-7570c7caa443"</span></span>
-<span><span class="co">## $ collection_version_id <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "4c16c611-00a9-42f9-a8c4-7b42daa226fe"</span></span>
+<span><span class="co">## $ collection_version_id <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "c9c120ca-7605-43b0-9ef5-728392d708f5"</span></span>
 <span><span class="co">## $ collection_url        <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "https://cellxgene.cziscience.com/collections/28…</span></span>
-<span><span class="co">## $ consortia             <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> ["BRAIN Initiative", "CZI Single-Cell Biology"]</span></span>
+<span><span class="co">## $ consortia             <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> &lt;"BRAIN Initiative", "CZI Single-Cell Biology"&gt;</span></span>
 <span><span class="co">## $ contact_email         <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "kimberly.siletti@ki.se"</span></span>
 <span><span class="co">## $ contact_name          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "Kimberly Siletti"</span></span>
 <span><span class="co">## $ curator_name          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "James Chaffer"</span></span>
@@ -260,9 +260,9 @@ <h3 id="using-dplyr-to-navigate-data">Using <code>dplyr</code> to navigate data<
 <span><span class="co">## $ revising_in           <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> NA</span></span>
 <span><span class="co">## $ revision_of           <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> NA</span></span>
 <span><span class="co">## $ visibility            <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "PUBLIC"</span></span>
-<span><span class="co">## $ created_at            <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2023-12-12</span></span>
+<span><span class="co">## $ created_at            <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2024-03-19</span></span>
 <span><span class="co">## $ published_at          <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2022-12-09</span></span>
-<span><span class="co">## $ revised_at            <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2023-12-13</span></span></code></pre>
+<span><span class="co">## $ revised_at            <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2024-03-22</span></span></code></pre>
 <p>We can take a similar strategy to identify all datasets belonging to
 this collection</p>
 <div class="sourceCode" id="cb18"><pre class="downlit sourceCode r">
@@ -271,24 +271,24 @@ <h3 id="using-dplyr-to-navigate-data">Using <code>dplyr</code> to navigate data<
 <span>    <span class="fu"><a href="../reference/query.html">datasets</a></span><span class="op">(</span><span class="va">db</span><span class="op">)</span>,</span>
 <span>    by <span class="op">=</span> <span class="st">"collection_id"</span></span>
 <span><span class="op">)</span></span></code></pre></div>
-<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 138 × 31</span></span></span>
+<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 138 × 32</span></span></span>
 <span><span class="co">##    collection_id   dataset_id dataset_version_id donor_id assay  batch_condition</span></span>
 <span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>           <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>      <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>         </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> 283d65eb-dd53-… ff7d15fa-… 51e05270-1f00-452… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;list [1]&gt;</span>     </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> 283d65eb-dd53-… fe1a73ab-… 4e124ecc-7885-465… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;list [1]&gt;</span>     </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> 283d65eb-dd53-… fbf173f9-… 5a52f557-aeaf-4fc… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;list [1]&gt;</span>     </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> 283d65eb-dd53-… fa554686-… 6606e9aa-e4c4-452… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;list [1]&gt;</span>     </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> 283d65eb-dd53-… f9034091-… 8f5b1977-8317-447… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;list [1]&gt;</span>     </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> 283d65eb-dd53-… f8dda921-… 1ad58833-956c-454… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;list [1]&gt;</span>     </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> 283d65eb-dd53-… f7d003d4-… 4d002ac1-4671-490… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;list [1]&gt;</span>     </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> 283d65eb-dd53-… f6d9f2ad-… 2102f4b8-c1fe-4ee… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;list [1]&gt;</span>     </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> 283d65eb-dd53-… f5a04dff-… b92375fd-dafe-44c… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;list [1]&gt;</span>     </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> 283d65eb-dd53-… f502c312-… b750310e-1abb-4c7… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;list [1]&gt;</span>     </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> 283d65eb-dd53-… ff7d15fa-… 1846f7ed-d11e-44f… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;chr [1]&gt;</span>      </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> 283d65eb-dd53-… fe1a73ab-… 5e5db76a-4390-41a… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;chr [1]&gt;</span>      </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> 283d65eb-dd53-… fbf173f9-… a7334adc-f8e7-443… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;chr [1]&gt;</span>      </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> 283d65eb-dd53-… fa554686-… 9bc5af53-e980-484… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;chr [1]&gt;</span>      </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> 283d65eb-dd53-… f9034091-… 71809c6b-c83a-497… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;chr [1]&gt;</span>      </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> 283d65eb-dd53-… f8dda921-… 4fc4d6fb-f105-4f9… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;chr [1]&gt;</span>      </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> 283d65eb-dd53-… f7d003d4-… c8b0535b-bc4f-478… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;chr [1]&gt;</span>      </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> 283d65eb-dd53-… f6d9f2ad-… dc08c31c-6629-49d… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;chr [1]&gt;</span>      </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> 283d65eb-dd53-… f5a04dff-… 2e56729d-ee10-419… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;chr [1]&gt;</span>      </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> 283d65eb-dd53-… f502c312-… a3fa88de-cbbe-404… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;chr [1]&gt;</span>      </span></span>
 <span><span class="co">## <span style="color: #949494;"># ℹ 128 more rows</span></span></span>
-<span><span class="co">## <span style="color: #949494;"># ℹ 25 more variables: cell_count &lt;int&gt;, cell_type &lt;list&gt;, citation &lt;chr&gt;,</span></span></span>
-<span><span class="co">## <span style="color: #949494;">#   development_stage &lt;list&gt;, disease &lt;list&gt;, embeddings &lt;list&gt;,</span></span></span>
-<span><span class="co">## <span style="color: #949494;">#   explorer_url &lt;chr&gt;, feature_biotype &lt;list&gt;, feature_count &lt;int&gt;,</span></span></span>
-<span><span class="co">## <span style="color: #949494;">#   feature_reference &lt;list&gt;, is_primary_data &lt;list&gt;,</span></span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 26 more variables: cell_count &lt;int&gt;, cell_type &lt;list&gt;, citation &lt;chr&gt;,</span></span></span>
+<span><span class="co">## <span style="color: #949494;">#   default_embedding &lt;chr&gt;, development_stage &lt;list&gt;, disease &lt;list&gt;,</span></span></span>
+<span><span class="co">## <span style="color: #949494;">#   embeddings &lt;list&gt;, explorer_url &lt;chr&gt;, feature_biotype &lt;list&gt;,</span></span></span>
+<span><span class="co">## <span style="color: #949494;">#   feature_count &lt;int&gt;, feature_reference &lt;list&gt;, is_primary_data &lt;list&gt;,</span></span></span>
 <span><span class="co">## <span style="color: #949494;">#   mean_genes_per_cell &lt;dbl&gt;, organism &lt;list&gt;, primary_cell_count &lt;int&gt;,</span></span></span>
 <span><span class="co">## <span style="color: #949494;">#   raw_data_location &lt;chr&gt;, schema_version &lt;chr&gt;, …</span></span></span></code></pre>
 </div>
@@ -302,20 +302,20 @@ <h3 id="facets-provides-information-on-levels-present-in-specific-columns">
 <div class="sourceCode" id="cb20"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/query.html">datasets</a></span><span class="op">(</span><span class="va">db</span><span class="op">)</span> <span class="op">|&gt;</span></span>
 <span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="fu"><a href="https://tidyselect.r-lib.org/reference/where.html" class="external-link">where</a></span><span class="op">(</span><span class="va">is.list</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
-<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 1,179 × 15</span></span></span>
-<span><span class="co">##    donor_id    assay      batch_condition cell_type   development_stage disease</span></span>
-<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>      <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>     <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>      <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> <span style="color: #949494;">&lt;list [12]&gt;</span> <span style="color: #949494;">&lt;list [1]&gt;</span> <span style="color: #949494;">&lt;list [2]&gt;</span>      <span style="color: #949494;">&lt;list [13]&gt;</span> <span style="color: #949494;">&lt;list [10]&gt;</span>       <span style="color: #949494;">&lt;list&gt;</span> </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> <span style="color: #949494;">&lt;list [12]&gt;</span> <span style="color: #949494;">&lt;list [1]&gt;</span> <span style="color: #949494;">&lt;list [2]&gt;</span>      <span style="color: #949494;">&lt;list [13]&gt;</span> <span style="color: #949494;">&lt;list [10]&gt;</span>       <span style="color: #949494;">&lt;list&gt;</span> </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> <span style="color: #949494;">&lt;list [6]&gt;</span>  <span style="color: #949494;">&lt;list [1]&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>       <span style="color: #949494;">&lt;list [4]&gt;</span>  <span style="color: #949494;">&lt;list [5]&gt;</span>        <span style="color: #949494;">&lt;list&gt;</span> </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> <span style="color: #949494;">&lt;list [6]&gt;</span>  <span style="color: #949494;">&lt;list [1]&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>       <span style="color: #949494;">&lt;list [1]&gt;</span>  <span style="color: #949494;">&lt;list [5]&gt;</span>        <span style="color: #949494;">&lt;list&gt;</span> </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> <span style="color: #949494;">&lt;list [6]&gt;</span>  <span style="color: #949494;">&lt;list [1]&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>       <span style="color: #949494;">&lt;list [2]&gt;</span>  <span style="color: #949494;">&lt;list [5]&gt;</span>        <span style="color: #949494;">&lt;list&gt;</span> </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> <span style="color: #949494;">&lt;list [6]&gt;</span>  <span style="color: #949494;">&lt;list [1]&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>       <span style="color: #949494;">&lt;list [1]&gt;</span>  <span style="color: #949494;">&lt;list [5]&gt;</span>        <span style="color: #949494;">&lt;list&gt;</span> </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> <span style="color: #949494;">&lt;list [6]&gt;</span>  <span style="color: #949494;">&lt;list [1]&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>       <span style="color: #949494;">&lt;list [1]&gt;</span>  <span style="color: #949494;">&lt;list [5]&gt;</span>        <span style="color: #949494;">&lt;list&gt;</span> </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> <span style="color: #949494;">&lt;list [6]&gt;</span>  <span style="color: #949494;">&lt;list [1]&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>       <span style="color: #949494;">&lt;list [6]&gt;</span>  <span style="color: #949494;">&lt;list [5]&gt;</span>        <span style="color: #949494;">&lt;list&gt;</span> </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> <span style="color: #949494;">&lt;list [6]&gt;</span>  <span style="color: #949494;">&lt;list [1]&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>       <span style="color: #949494;">&lt;list [2]&gt;</span>  <span style="color: #949494;">&lt;list [5]&gt;</span>        <span style="color: #949494;">&lt;list&gt;</span> </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> <span style="color: #949494;">&lt;list [7]&gt;</span>  <span style="color: #949494;">&lt;list [2]&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>       <span style="color: #949494;">&lt;list [1]&gt;</span>  <span style="color: #949494;">&lt;list [7]&gt;</span>        <span style="color: #949494;">&lt;list&gt;</span> </span></span>
-<span><span class="co">## <span style="color: #949494;"># ℹ 1,169 more rows</span></span></span>
+<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 1,285 × 15</span></span></span>
+<span><span class="co">##    donor_id   assay      batch_condition cell_type   development_stage disease</span></span>
+<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>     <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>     <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>      <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> <span style="color: #949494;">&lt;chr [14]&gt;</span> <span style="color: #949494;">&lt;list [1]&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>       <span style="color: #949494;">&lt;list [7]&gt;</span>  <span style="color: #949494;">&lt;list [13]&gt;</span>       <span style="color: #949494;">&lt;list&gt;</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> <span style="color: #949494;">&lt;chr [16]&gt;</span> <span style="color: #949494;">&lt;list [1]&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>       <span style="color: #949494;">&lt;list [13]&gt;</span> <span style="color: #949494;">&lt;list [14]&gt;</span>       <span style="color: #949494;">&lt;list&gt;</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> <span style="color: #949494;">&lt;chr [39]&gt;</span> <span style="color: #949494;">&lt;list [2]&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>       <span style="color: #949494;">&lt;list [3]&gt;</span>  <span style="color: #949494;">&lt;list [25]&gt;</span>       <span style="color: #949494;">&lt;list&gt;</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> <span style="color: #949494;">&lt;chr [43]&gt;</span> <span style="color: #949494;">&lt;list [2]&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>       <span style="color: #949494;">&lt;list [31]&gt;</span> <span style="color: #949494;">&lt;list [28]&gt;</span>       <span style="color: #949494;">&lt;list&gt;</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> <span style="color: #949494;">&lt;chr [37]&gt;</span> <span style="color: #949494;">&lt;list [2]&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>       <span style="color: #949494;">&lt;list [1]&gt;</span>  <span style="color: #949494;">&lt;list [23]&gt;</span>       <span style="color: #949494;">&lt;list&gt;</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> <span style="color: #949494;">&lt;chr [42]&gt;</span> <span style="color: #949494;">&lt;list [2]&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>       <span style="color: #949494;">&lt;list [5]&gt;</span>  <span style="color: #949494;">&lt;list [27]&gt;</span>       <span style="color: #949494;">&lt;list&gt;</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> <span style="color: #949494;">&lt;chr [70]&gt;</span> <span style="color: #949494;">&lt;list [3]&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>       <span style="color: #949494;">&lt;list [31]&gt;</span> <span style="color: #949494;">&lt;list [39]&gt;</span>       <span style="color: #949494;">&lt;list&gt;</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> <span style="color: #949494;">&lt;chr [42]&gt;</span> <span style="color: #949494;">&lt;list [2]&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>       <span style="color: #949494;">&lt;list [10]&gt;</span> <span style="color: #949494;">&lt;list [27]&gt;</span>       <span style="color: #949494;">&lt;list&gt;</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> <span style="color: #949494;">&lt;chr [41]&gt;</span> <span style="color: #949494;">&lt;list [2]&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>       <span style="color: #949494;">&lt;list [7]&gt;</span>  <span style="color: #949494;">&lt;list [26]&gt;</span>       <span style="color: #949494;">&lt;list&gt;</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> <span style="color: #949494;">&lt;chr [40]&gt;</span> <span style="color: #949494;">&lt;list [2]&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>       <span style="color: #949494;">&lt;list [4]&gt;</span>  <span style="color: #949494;">&lt;list [26]&gt;</span>       <span style="color: #949494;">&lt;list&gt;</span> </span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 1,275 more rows</span></span></span>
 <span><span class="co">## <span style="color: #949494;"># ℹ 9 more variables: embeddings &lt;list&gt;, feature_biotype &lt;list&gt;,</span></span></span>
 <span><span class="co">## <span style="color: #949494;">#   feature_reference &lt;list&gt;, is_primary_data &lt;list&gt;, organism &lt;list&gt;,</span></span></span>
 <span><span class="co">## <span style="color: #949494;">#   self_reported_ethnicity &lt;list&gt;, sex &lt;list&gt;, suspension_type &lt;list&gt;,</span></span></span>
@@ -331,41 +331,41 @@ <h3 id="facets-provides-information-on-levels-present-in-specific-columns">
 <pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 38 × 4</span></span></span>
 <span><span class="co">##    facet label                          ontology_term_id     n</span></span>
 <span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> assay 10x 3' v3                      EFO:0009922        575</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> assay 10x 3' v2                      EFO:0009899        254</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> assay 10x 3' v3                      EFO:0009922        607</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> assay 10x 3' v2                      EFO:0009899        271</span></span>
 <span><span class="co">## <span style="color: #BCBCBC;"> 3</span> assay Slide-seqV2                    EFO:0030062        223</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> assay Visium Spatial Gene Expression EFO:0010961        108</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> assay 10x 5' v1                      EFO:0011025         81</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> assay Visium Spatial Gene Expression EFO:0010961        131</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> assay 10x 5' v1                      EFO:0011025         90</span></span>
 <span><span class="co">## <span style="color: #BCBCBC;"> 6</span> assay Smart-seq2                     EFO:0008931         63</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> assay 10x multiome                   EFO:0030059         61</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> assay 10x 5' v2                      EFO:0009900         23</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> assay Drop-seq                       EFO:0008722         18</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> assay sci-RNA-seq3                   EFO:0030028         15</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> assay 10x multiome                   EFO:0030059         62</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> assay sci-RNA-seq                    EFO:0010550         33</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> assay 10x 5' v2                      EFO:0009900         24</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> assay 10x 5' transcription profiling EFO:0030004         21</span></span>
 <span><span class="co">## <span style="color: #949494;"># ℹ 28 more rows</span></span></span></code></pre>
 <div class="sourceCode" id="cb24"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/facets.html">facets</a></span><span class="op">(</span><span class="va">db</span>, <span class="st">"self_reported_ethnicity"</span><span class="op">)</span></span></code></pre></div>
-<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 32 × 4</span></span></span>
+<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 33 × 4</span></span></span>
 <span><span class="co">##    facet                   label                          ontology_term_id     n</span></span>
 <span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> self_reported_ethnicity European                       HANCESTRO:0005     505</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> self_reported_ethnicity unknown                        unknown            411</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> self_reported_ethnicity na                             na                 320</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> self_reported_ethnicity Asian                          HANCESTRO:0008     141</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> self_reported_ethnicity African American               HANCESTRO:0568      61</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> self_reported_ethnicity Hispanic or Latin American     HANCESTRO:0014      54</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> self_reported_ethnicity European                       HANCESTRO:0005     544</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> self_reported_ethnicity unknown                        unknown            435</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> self_reported_ethnicity na                             na                 375</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> self_reported_ethnicity Asian                          HANCESTRO:0008     143</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> self_reported_ethnicity Hispanic or Latin American     HANCESTRO:0014      63</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> self_reported_ethnicity African American               HANCESTRO:0568      62</span></span>
 <span><span class="co">## <span style="color: #BCBCBC;"> 7</span> self_reported_ethnicity Native American,Hispanic or L… HANCESTRO:0013,…    50</span></span>
 <span><span class="co">## <span style="color: #BCBCBC;"> 8</span> self_reported_ethnicity African American or Afro-Cari… HANCESTRO:0016      32</span></span>
 <span><span class="co">## <span style="color: #BCBCBC;"> 9</span> self_reported_ethnicity Greater Middle Eastern  (Midd… HANCESTRO:0015      22</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> self_reported_ethnicity South Asian                    HANCESTRO:0006      11</span></span>
-<span><span class="co">## <span style="color: #949494;"># ℹ 22 more rows</span></span></span></code></pre>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> self_reported_ethnicity African                        HANCESTRO:0010      19</span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 23 more rows</span></span></span></code></pre>
 <div class="sourceCode" id="cb26"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/facets.html">facets</a></span><span class="op">(</span><span class="va">db</span>, <span class="st">"sex"</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 3 × 4</span></span></span>
 <span><span class="co">##   facet label   ontology_term_id     n</span></span>
 <span><span class="co">##   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">1</span> sex   male    PATO:0000384       915</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">2</span> sex   female  PATO:0000383       689</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">3</span> sex   unknown unknown            173</span></span></code></pre>
+<span><span class="co">## <span style="color: #BCBCBC;">1</span> sex   male    PATO:0000384       987</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">2</span> sex   female  PATO:0000383       763</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">3</span> sex   unknown unknown            190</span></span></code></pre>
 </div>
 <div class="section level3">
 <h3 id="filtering-faceted-columns">Filtering faceted columns<a class="anchor" aria-label="anchor" href="#filtering-faceted-columns"></a>
@@ -391,7 +391,7 @@ <h3 id="filtering-faceted-columns">Filtering faceted columns<a class="anchor" ar
 <pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 1 × 1</span></span></span>
 <span><span class="co">##   total_cell_count</span></span>
 <span><span class="co">##              <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">1</span>          4<span style="text-decoration: underline;">320</span>736</span></span></code></pre>
+<span><span class="co">## <span style="color: #BCBCBC;">1</span>          4<span style="text-decoration: underline;">419</span>584</span></span></code></pre>
 <p>cells sequenced (each dataset may contain cells from several
 ethnicities, as well as males or individuals of unknown gender, so we do
 not know the actual number of cells available without downloading
@@ -404,22 +404,23 @@ <h3 id="filtering-faceted-columns">Filtering faceted columns<a class="anchor" ar
 <span>    <span class="fu"><a href="../reference/query.html">collections</a></span><span class="op">(</span><span class="va">db</span><span class="op">)</span>,</span>
 <span>    by <span class="op">=</span> <span class="st">"collection_id"</span></span>
 <span><span class="op">)</span></span></code></pre></div>
-<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 13 × 18</span></span></span>
+<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 14 × 18</span></span></span>
 <span><span class="co">##    collection_id    collection_version_id collection_url consortia contact_email</span></span>
 <span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                 <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>        </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> f17b9205-f61f-4… 21ff4724-95e2-491b-8… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    genevieve.ko…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> 625f6bf4-2f33-4… 0c0d607f-00b8-4f3d-8… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    a5wang@healt…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> c9706a92-0e5f-4… bc627471-7137-4518-a… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    hnakshat@iup…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> a98b828a-622a-4… cee0b899-009a-40ec-a… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    markusbi@med…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> e1fa9900-3fc9-4… 6016258b-2d18-4ada-a… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> j.ma@yale.edu</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> bcb61471-2a44-4… 39fca0ca-2b0f-47b5-9… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    info@kpmp.org</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> 72d37bc9-76cc-4… 3e396ffb-b0d8-4ce4-b… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    m.sepp@zmbh.…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> b953c942-f5d8-4… 7727e578-1805-47c8-b… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> icobos@stanf…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> 62e8f058-9c37-4… addce074-53d2-4f21-9… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    chanj3@mskcc…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> 71f4bccf-53d4-4… 5a524bd4-231b-4941-a… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    kevinmbyrd@g…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">11</span> 4195ab4c-20bd-4… f7da9dd1-b0ec-401f-9… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    nnavin@mdand…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">12</span> 6b701826-37bb-4… 95ab05df-9716-4fc8-a… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    astreets@ber…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">13</span> b9fc3d70-5a72-4… 6701e565-6dfe-4649-b… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    bruce.aronow…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> 62e8f058-9c37-4… 645d7ef5-f8ab-4b40-8… https://cellx… <span style="color: #949494;">&lt;chr [1]&gt;</span> chanj3@mskcc…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> 4195ab4c-20bd-4… 4bb38c2f-9c6a-4895-b… https://cellx… <span style="color: #949494;">&lt;chr [1]&gt;</span> nnavin@mdand…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> b9fc3d70-5a72-4… a73587fc-5019-46e2-a… https://cellx… <span style="color: #949494;">&lt;chr [1]&gt;</span> bruce.aronow…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> f17b9205-f61f-4… 87279d9b-8ab2-4e10-9… https://cellx… <span style="color: #949494;">&lt;chr [1]&gt;</span> genevieve.ko…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> cec4ef8e-1e70-4… 7b72315c-9210-459a-b… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> Ryan.Logan@u…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> bcb61471-2a44-4… 447d101d-5306-4321-a… https://cellx… <span style="color: #949494;">&lt;chr [3]&gt;</span> info@kpmp.org</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> c9706a92-0e5f-4… 04464954-ab11-4a56-b… https://cellx… <span style="color: #949494;">&lt;chr [1]&gt;</span> hnakshat@iup…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> 72d37bc9-76cc-4… e95dbb27-c619-4f2d-9… https://cellx… <span style="color: #949494;">&lt;chr [1]&gt;</span> m.sepp@zmbh.…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> 625f6bf4-2f33-4… fb5e1588-a7ee-41d6-a… https://cellx… <span style="color: #949494;">&lt;chr [1]&gt;</span> a5wang@healt…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> e1fa9900-3fc9-4… 93bc2a17-6fb0-4329-9… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> j.ma@yale.edu</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">11</span> a98b828a-622a-4… 93db548a-c8de-4581-a… https://cellx… <span style="color: #949494;">&lt;chr [1]&gt;</span> markusbi@med…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">12</span> 6b701826-37bb-4… d63af6c4-1427-4237-a… https://cellx… <span style="color: #949494;">&lt;chr [1]&gt;</span> astreets@ber…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">13</span> b953c942-f5d8-4… 4ac10bd3-3a86-4356-b… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> icobos@stanf…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">14</span> 71f4bccf-53d4-4… 7a0d0734-79cc-48fd-9… https://cellx… <span style="color: #949494;">&lt;chr [1]&gt;</span> kevinmbyrd@g…</span></span>
 <span><span class="co">## <span style="color: #949494;"># ℹ 13 more variables: contact_name &lt;chr&gt;, curator_name &lt;chr&gt;,</span></span></span>
 <span><span class="co">## <span style="color: #949494;">#   description &lt;chr&gt;, doi &lt;chr&gt;, links &lt;list&gt;, name &lt;chr&gt;,</span></span></span>
 <span><span class="co">## <span style="color: #949494;">#   publisher_metadata &lt;list&gt;, revising_in &lt;lgl&gt;, revision_of &lt;lgl&gt;,</span></span></span>
@@ -449,9 +450,9 @@ <h3 id="publication-and-other-external-data">Publication and other external data
 <pre><code><span><span class="co">## Rows: 1</span></span>
 <span><span class="co">## Columns: 18</span></span>
 <span><span class="co">## $ collection_id         <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "c9706a92-0e5f-46c1-96d8-20e42467f287"</span></span>
-<span><span class="co">## $ collection_version_id <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "bc627471-7137-4518-a593-2f679bac054e"</span></span>
+<span><span class="co">## $ collection_version_id <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "04464954-ab11-4a56-b136-e924b750f1bd"</span></span>
 <span><span class="co">## $ collection_url        <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "https://cellxgene.cziscience.com/collections/c9…</span></span>
-<span><span class="co">## $ consortia             <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> ["CZI Single-Cell Biology"]</span></span>
+<span><span class="co">## $ consortia             <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> "CZI Single-Cell Biology"</span></span>
 <span><span class="co">## $ contact_email         <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "hnakshat@iupui.edu"</span></span>
 <span><span class="co">## $ contact_name          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "Harikrishna Nakshatri"</span></span>
 <span><span class="co">## $ curator_name          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "Jennifer Yu-Sheng Chien"</span></span>
@@ -463,9 +464,9 @@ <h3 id="publication-and-other-external-data">Publication and other external data
 <span><span class="co">## $ revising_in           <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> NA</span></span>
 <span><span class="co">## $ revision_of           <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> NA</span></span>
 <span><span class="co">## $ visibility            <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "PUBLIC"</span></span>
-<span><span class="co">## $ created_at            <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2023-12-12</span></span>
+<span><span class="co">## $ created_at            <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2024-03-19</span></span>
 <span><span class="co">## $ published_at          <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2021-03-25</span></span>
-<span><span class="co">## $ revised_at            <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2023-12-13</span></span></code></pre>
+<span><span class="co">## $ revised_at            <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2024-03-22</span></span></code></pre>
 <p>Use the <code>collection_id</code> to extract publisher metadata
 (including a DOI if available) and author information</p>
 <div class="sourceCode" id="cb35"><pre class="downlit sourceCode r">
@@ -507,31 +508,31 @@ <h3 id="publication-and-other-external-data">Publication and other external data
 <div class="sourceCode" id="cb39"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">external_links</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/query.html">links</a></span><span class="op">(</span><span class="va">db</span><span class="op">)</span></span>
 <span><span class="va">external_links</span></span></code></pre></div>
-<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 725 × 4</span></span></span>
-<span><span class="co">##    collection_id                        link_name     link_type   link_url      </span></span>
-<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                                <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>         <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>         </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> ceb895f4-ff9f-403a-b7c3-187a9657ac2c SCP1859       OTHER       https://singl…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> ceb895f4-ff9f-403a-b7c3-187a9657ac2c <span style="color: #BB0000;">NA</span>            LAB_WEBSITE https://labs.…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> ceb895f4-ff9f-403a-b7c3-187a9657ac2c <span style="color: #BB0000;">NA</span>            OTHER       http://genome…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> ceb895f4-ff9f-403a-b7c3-187a9657ac2c GSE204684     RAW_DATA    https://www.n…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> ceb895f4-ff9f-403a-b7c3-187a9657ac2c analysis code OTHER       https://zenod…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> af893e86-8e9f-41f1-a474-ef05359b1fb7 <span style="color: #BB0000;">NA</span>            OTHER       https://retin…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> af893e86-8e9f-41f1-a474-ef05359b1fb7 <span style="color: #BB0000;">NA</span>            RAW_DATA    https://data.…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> af893e86-8e9f-41f1-a474-ef05359b1fb7 GSE226108     RAW_DATA    https://www.n…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> 1d1c7275-476a-49e2-9022-ad1b1c793594 GSE148077     RAW_DATA    https://www.n…</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> 1d1c7275-476a-49e2-9022-ad1b1c793594 <span style="color: #BB0000;">NA</span>            OTHER       https://singl…</span></span>
-<span><span class="co">## <span style="color: #949494;"># ℹ 715 more rows</span></span></span></code></pre>
+<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 776 × 4</span></span></span>
+<span><span class="co">##    collection_id                        link_name       link_type   link_url    </span></span>
+<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                                <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>           <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b GSE159812       RAW_DATA    https://www…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b <span style="color: #BB0000;">NA</span>              DATA_SOURCE https://twc…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b <span style="color: #BB0000;">NA</span>              LAB_WEBSITE https://www…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b <span style="color: #BB0000;">NA</span>              LAB_WEBSITE https://web…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b <span style="color: #BB0000;">NA</span>              RAW_DATA    https://dat…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> a18474f4-ff1e-4864-af69-270b956cee5b EGAD00001010074 RAW_DATA    https://ega…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> a18474f4-ff1e-4864-af69-270b956cee5b <span style="color: #BB0000;">NA</span>              OTHER       https://git…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> f5af7a2f-ab4c-4728-829e-48efb9562105 GSE222250       RAW_DATA    https://www…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> aee9c366-f2fb-470b-8937-577d5d87d3fc Synapse         RAW_DATA    https://www…</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> e5f58829-1a66-40b5-a624-9046778e74f5 <span style="color: #BB0000;">NA</span>              RAW_DATA    https://reg…</span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 766 more rows</span></span></span></code></pre>
 <div class="sourceCode" id="cb41"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">external_links</span> <span class="op">|&gt;</span></span>
 <span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/count.html" class="external-link">count</a></span><span class="op">(</span><span class="va">link_type</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 5 × 2</span></span></span>
 <span><span class="co">##   link_type       n</span></span>
 <span><span class="co">##   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">1</span> DATA_SOURCE    35</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">2</span> LAB_WEBSITE    38</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">3</span> OTHER         333</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">4</span> PROTOCOL       44</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">5</span> RAW_DATA      275</span></span></code></pre>
+<span><span class="co">## <span style="color: #BCBCBC;">1</span> DATA_SOURCE    36</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">2</span> LAB_WEBSITE    42</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">3</span> OTHER         351</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">4</span> PROTOCOL       45</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">5</span> RAW_DATA      302</span></span></code></pre>
 <div class="sourceCode" id="cb43"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">external_links</span> <span class="op">|&gt;</span></span>
 <span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">collection_id</span> <span class="op">==</span> <span class="va">collection_id_of_interest</span><span class="op">)</span></span></code></pre></div>
@@ -554,9 +555,9 @@ <h3 id="publication-and-other-external-data">Publication and other external data
 <span><span class="co">## $ link_name             <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "PSC-ATO protocol"</span></span>
 <span><span class="co">## $ link_type             <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "PROTOCOL"</span></span>
 <span><span class="co">## $ link_url              <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "https://doi.org/10.1016/j.stem.2018.12.011"</span></span>
-<span><span class="co">## $ collection_version_id <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "aa814356-20ba-4066-88be-fcbf89c84899"</span></span>
+<span><span class="co">## $ collection_version_id <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "1265f8ec-9918-499a-8b7d-ede70c8d77c0"</span></span>
 <span><span class="co">## $ collection_url        <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "https://cellxgene.cziscience.com/collections/b1…</span></span>
-<span><span class="co">## $ consortia             <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> ["CZI Single-Cell Biology", "Wellcome HCA Strate…</span></span>
+<span><span class="co">## $ consortia             <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> &lt;"CZI Single-Cell Biology", "Wellcome HCA Strate…</span></span>
 <span><span class="co">## $ contact_email         <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "st9@sanger.ac.uk"</span></span>
 <span><span class="co">## $ contact_name          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "Sarah Teichmann"</span></span>
 <span><span class="co">## $ curator_name          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "Batuhan Cakir"</span></span>
@@ -568,9 +569,9 @@ <h3 id="publication-and-other-external-data">Publication and other external data
 <span><span class="co">## $ revising_in           <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> NA</span></span>
 <span><span class="co">## $ revision_of           <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> NA</span></span>
 <span><span class="co">## $ visibility            <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "PUBLIC"</span></span>
-<span><span class="co">## $ created_at            <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2023-12-11</span></span>
+<span><span class="co">## $ created_at            <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2024-03-19</span></span>
 <span><span class="co">## $ published_at          <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2022-10-04</span></span>
-<span><span class="co">## $ revised_at            <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2023-12-13</span></span></code></pre>
+<span><span class="co">## $ revised_at            <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2024-03-22</span></span></code></pre>
 </div>
 </div>
 <div class="section level2">
@@ -618,7 +619,7 @@ <h2 id="file-download-and-use">File download and use<a class="anchor" aria-label
 <span>    <span class="op">)</span> <span class="op">|&gt;</span></span>
 <span>    <span class="fu"><a href="../reference/query.html">files_download</a></span><span class="op">(</span>dry.run <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/base/basename.html" class="external-link">basename</a></span><span class="op">(</span><span class="va">local_file</span><span class="op">)</span></span></code></pre></div>
-<pre><code><span><span class="co">## [1] "64f14a2b-d754-4bc9-b496-b26f05ebfe4e.h5ad"</span></span></code></pre>
+<pre><code><span><span class="co">## [1] "dba8eab1-fb75-4a40-be68-2bcd8094ac52.h5ad"</span></span></code></pre>
 <p>These are downloaded to a local cache (use the internal function
 <code>cellxgenedp:::.cellxgenedb_cache_path()</code> for the location of
 the cache), so the process is only time-consuming the first time.</p>
@@ -629,11 +630,11 @@ <h2 id="file-download-and-use">File download and use<a class="anchor" aria-label
 <code class="sourceCode R"><span><span class="va">h5ad</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/zellkonverter/man/readH5AD.html" class="external-link">readH5AD</a></span><span class="op">(</span><span class="va">local_file</span>, use_hdf5 <span class="op">=</span> <span class="cn">TRUE</span>, reader <span class="op">=</span> <span class="st">"R"</span><span class="op">)</span></span>
 <span><span class="va">h5ad</span></span></code></pre></div>
 <pre><code><span><span class="co">## class: SingleCellExperiment </span></span>
-<span><span class="co">## dim: 33234 31696 </span></span>
+<span><span class="co">## dim: 33145 31696 </span></span>
 <span><span class="co">## metadata(5): citation default_embedding schema_reference schema_version</span></span>
 <span><span class="co">##   title</span></span>
 <span><span class="co">## assays(1): X</span></span>
-<span><span class="co">## rownames(33234): ENSG00000243485 ENSG00000237613 ... ENSG00000277475</span></span>
+<span><span class="co">## rownames(33145): ENSG00000243485 ENSG00000237613 ... ENSG00000277475</span></span>
 <span><span class="co">##   ENSG00000268674</span></span>
 <span><span class="co">## rowData names(5): feature_is_filtered feature_name feature_reference</span></span>
 <span><span class="co">##   feature_biotype feature_length</span></span>
@@ -726,9 +727,9 @@ <h2 id="api-changes">API changes<a class="anchor" aria-label="anchor" href="#api
 <div class="section level2">
 <h2 class="unnumbered" id="session-info">Session info<a class="anchor" aria-label="anchor" href="#session-info"></a>
 </h2>
-<pre><code><span><span class="co">## R version 4.3.2 (2023-10-31)</span></span>
+<pre><code><span><span class="co">## R version 4.3.3 (2024-02-29)</span></span>
 <span><span class="co">## Platform: x86_64-pc-linux-gnu (64-bit)</span></span>
-<span><span class="co">## Running under: Ubuntu 22.04.3 LTS</span></span>
+<span><span class="co">## Running under: Ubuntu 22.04.4 LTS</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## Matrix products: default</span></span>
 <span><span class="co">## BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 </span></span>
@@ -748,42 +749,41 @@ <h2 class="unnumbered" id="session-info">Session info<a class="anchor" aria-labe
 <span><span class="co">## [8] base     </span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## other attached packages:</span></span>
-<span><span class="co">##  [1] cellxgenedp_1.7.2           dplyr_1.1.4                </span></span>
+<span><span class="co">##  [1] cellxgenedp_1.7.3           dplyr_1.1.4                </span></span>
 <span><span class="co">##  [3] SingleCellExperiment_1.24.0 SummarizedExperiment_1.32.0</span></span>
 <span><span class="co">##  [5] Biobase_2.62.0              GenomicRanges_1.54.1       </span></span>
-<span><span class="co">##  [7] GenomeInfoDb_1.38.5         IRanges_2.36.0             </span></span>
+<span><span class="co">##  [7] GenomeInfoDb_1.38.8         IRanges_2.36.0             </span></span>
 <span><span class="co">##  [9] S4Vectors_0.40.2            BiocGenerics_0.48.1        </span></span>
 <span><span class="co">## [11] MatrixGenerics_1.14.0       matrixStats_1.2.0          </span></span>
 <span><span class="co">## [13] zellkonverter_1.12.1        BiocStyle_2.30.0           </span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## loaded via a namespace (and not attached):</span></span>
-<span><span class="co">##  [1] tidyselect_1.2.0        filelock_1.0.3          bitops_1.0-7           </span></span>
+<span><span class="co">##  [1] tidyselect_1.2.1        filelock_1.0.3          bitops_1.0-7           </span></span>
 <span><span class="co">##  [4] fastmap_1.1.1           RCurl_1.98-1.14         promises_1.2.1         </span></span>
-<span><span class="co">##  [7] digest_0.6.34           mime_0.12               lifecycle_1.0.4        </span></span>
-<span><span class="co">## [10] ellipsis_0.3.2          magrittr_2.0.3          compiler_4.3.2         </span></span>
-<span><span class="co">## [13] rlang_1.1.3             sass_0.4.8              tools_4.3.2            </span></span>
-<span><span class="co">## [16] utf8_1.2.4              yaml_2.3.8              knitr_1.45             </span></span>
-<span><span class="co">## [19] S4Arrays_1.2.0          htmlwidgets_1.6.4       curl_5.2.0             </span></span>
-<span><span class="co">## [22] reticulate_1.34.0       DelayedArray_0.28.0     abind_1.4-5            </span></span>
-<span><span class="co">## [25] HDF5Array_1.30.0        withr_3.0.0             purrr_1.0.2            </span></span>
-<span><span class="co">## [28] desc_1.4.3              grid_4.3.2              fansi_1.0.6            </span></span>
-<span><span class="co">## [31] xtable_1.8-4            Rhdf5lib_1.24.1         cli_3.6.2              </span></span>
-<span><span class="co">## [34] rmarkdown_2.25          crayon_1.5.2            ragg_1.2.7             </span></span>
-<span><span class="co">## [37] generics_0.1.3          httr_1.4.7              rhdf5_2.46.1           </span></span>
-<span><span class="co">## [40] cachem_1.0.8            stringr_1.5.1           zlibbioc_1.48.0        </span></span>
-<span><span class="co">## [43] parallel_4.3.2          BiocManager_1.30.22     XVector_0.42.0         </span></span>
-<span><span class="co">## [46] basilisk_1.14.2         vctrs_0.6.5             Matrix_1.6-1.1         </span></span>
-<span><span class="co">## [49] jsonlite_1.8.8          dir.expiry_1.10.0       bookdown_0.37          </span></span>
-<span><span class="co">## [52] systemfonts_1.0.5       jquerylib_0.1.4         glue_1.7.0             </span></span>
-<span><span class="co">## [55] pkgdown_2.0.7           DT_0.31                 stringi_1.8.3          </span></span>
-<span><span class="co">## [58] later_1.3.2             tibble_3.2.1            pillar_1.9.0           </span></span>
-<span><span class="co">## [61] rhdf5filters_1.14.1     basilisk.utils_1.14.1   htmltools_0.5.7        </span></span>
-<span><span class="co">## [64] GenomeInfoDbData_1.2.11 R6_2.5.1                textshaping_0.3.7      </span></span>
-<span><span class="co">## [67] evaluate_0.23           shiny_1.8.0             lattice_0.21-9         </span></span>
-<span><span class="co">## [70] png_0.1-8               memoise_2.0.1           httpuv_1.6.13          </span></span>
-<span><span class="co">## [73] bslib_0.6.1             rjsoncons_1.1.0         Rcpp_1.0.12            </span></span>
-<span><span class="co">## [76] SparseArray_1.2.3       xfun_0.41               fs_1.6.3               </span></span>
-<span><span class="co">## [79] pkgconfig_2.0.3</span></span></code></pre>
+<span><span class="co">##  [7] digest_0.6.35           mime_0.12               lifecycle_1.0.4        </span></span>
+<span><span class="co">## [10] magrittr_2.0.3          compiler_4.3.3          rlang_1.1.3            </span></span>
+<span><span class="co">## [13] sass_0.4.9              tools_4.3.3             utf8_1.2.4             </span></span>
+<span><span class="co">## [16] yaml_2.3.8              knitr_1.45              S4Arrays_1.2.1         </span></span>
+<span><span class="co">## [19] htmlwidgets_1.6.4       curl_5.2.1              reticulate_1.35.0      </span></span>
+<span><span class="co">## [22] DelayedArray_0.28.0     abind_1.4-5             HDF5Array_1.30.1       </span></span>
+<span><span class="co">## [25] withr_3.0.0             purrr_1.0.2             desc_1.4.3             </span></span>
+<span><span class="co">## [28] grid_4.3.3              fansi_1.0.6             xtable_1.8-4           </span></span>
+<span><span class="co">## [31] Rhdf5lib_1.24.2         cli_3.6.2               rmarkdown_2.26         </span></span>
+<span><span class="co">## [34] crayon_1.5.2            ragg_1.3.0              generics_0.1.3         </span></span>
+<span><span class="co">## [37] httr_1.4.7              cachem_1.0.8            rhdf5_2.46.1           </span></span>
+<span><span class="co">## [40] zlibbioc_1.48.2         parallel_4.3.3          BiocManager_1.30.22    </span></span>
+<span><span class="co">## [43] XVector_0.42.0          basilisk_1.14.3         vctrs_0.6.5            </span></span>
+<span><span class="co">## [46] Matrix_1.6-5            jsonlite_1.8.8          dir.expiry_1.10.0      </span></span>
+<span><span class="co">## [49] bookdown_0.38           systemfonts_1.0.6       jquerylib_0.1.4        </span></span>
+<span><span class="co">## [52] glue_1.7.0              pkgdown_2.0.7           DT_0.32                </span></span>
+<span><span class="co">## [55] later_1.3.2             tibble_3.2.1            pillar_1.9.0           </span></span>
+<span><span class="co">## [58] basilisk.utils_1.14.1   htmltools_0.5.8         rhdf5filters_1.14.1    </span></span>
+<span><span class="co">## [61] GenomeInfoDbData_1.2.11 R6_2.5.1                textshaping_0.3.7      </span></span>
+<span><span class="co">## [64] evaluate_0.23           shiny_1.8.1             lattice_0.22-5         </span></span>
+<span><span class="co">## [67] png_0.1-8               memoise_2.0.1           httpuv_1.6.15          </span></span>
+<span><span class="co">## [70] bslib_0.7.0             rjsoncons_1.2.0         Rcpp_1.0.12            </span></span>
+<span><span class="co">## [73] SparseArray_1.2.4       xfun_0.43               fs_1.6.3               </span></span>
+<span><span class="co">## [76] pkgconfig_2.0.3</span></span></code></pre>
 </div>
   </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
     </nav></aside>
diff --git a/articles/b_case_studies.html b/articles/b_case_studies.html
index 0975829..6f1f7f1 100644
--- a/articles/b_case_studies.html
+++ b/articles/b_case_studies.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">cellxgenedp</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.2</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.3</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -133,33 +133,33 @@ <h3 id="challenge-and-solution">Challenge and solution<a class="anchor" aria-lab
 <span>    relationship <span class="op">=</span> <span class="st">"many-to-many"</span></span>
 <span><span class="op">)</span></span>
 <span><span class="va">author_datasets</span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 43,244 × 34</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 45,822 × 35</span></span></span>
 <span><span class="co">#&gt;    collection_id  family given consortium dataset_id dataset_version_id donor_id</span></span>
 <span><span class="co">#&gt;    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>      <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>      <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> ceb895f4-ff9f… Zhu    Kaiyi <span style="color: #BB0000;">NA</span>         53ce2631-… 2f17c183-388a-4c0… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> ceb895f4-ff9f… Zhu    Kaiyi <span style="color: #BB0000;">NA</span>         1d4128f6-… 94762ee1-9f9f-49e… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> ceb895f4-ff9f… Bendl  Jaro… <span style="color: #BB0000;">NA</span>         53ce2631-… 2f17c183-388a-4c0… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> ceb895f4-ff9f… Bendl  Jaro… <span style="color: #BB0000;">NA</span>         1d4128f6-… 94762ee1-9f9f-49e… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> ceb895f4-ff9f… Rahman Samir <span style="color: #BB0000;">NA</span>         53ce2631-… 2f17c183-388a-4c0… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> ceb895f4-ff9f… Rahman Samir <span style="color: #BB0000;">NA</span>         1d4128f6-… 94762ee1-9f9f-49e… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> ceb895f4-ff9f… Vicari Jame… <span style="color: #BB0000;">NA</span>         53ce2631-… 2f17c183-388a-4c0… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> ceb895f4-ff9f… Vicari Jame… <span style="color: #BB0000;">NA</span>         1d4128f6-… 94762ee1-9f9f-49e… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> ceb895f4-ff9f… Colem… Clai… <span style="color: #BB0000;">NA</span>         53ce2631-… 2f17c183-388a-4c0… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> ceb895f4-ff9f… Colem… Clai… <span style="color: #BB0000;">NA</span>         1d4128f6-… 94762ee1-9f9f-49e… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 43,234 more rows</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 27 more variables: assay &lt;list&gt;, batch_condition &lt;list&gt;, cell_count &lt;int&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   cell_type &lt;list&gt;, citation &lt;chr&gt;, development_stage &lt;list&gt;, disease &lt;list&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   embeddings &lt;list&gt;, explorer_url &lt;chr&gt;, feature_biotype &lt;list&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   feature_count &lt;int&gt;, feature_reference &lt;list&gt;, is_primary_data &lt;list&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   mean_genes_per_cell &lt;dbl&gt;, organism &lt;list&gt;, primary_cell_count &lt;int&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   raw_data_location &lt;chr&gt;, schema_version &lt;chr&gt;, …</span></span></span></code></pre></div>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> 59c9ecfe-c47d… Yang   Andr… <span style="color: #BB0000;">NA</span>         595c9010-… b4645848-e3d8-492… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> 59c9ecfe-c47d… Yang   Andr… <span style="color: #BB0000;">NA</span>         2f05ab20-… 3b715360-b0ae-4e5… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> 59c9ecfe-c47d… Kern   Fabi… <span style="color: #BB0000;">NA</span>         595c9010-… b4645848-e3d8-492… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> 59c9ecfe-c47d… Kern   Fabi… <span style="color: #BB0000;">NA</span>         2f05ab20-… 3b715360-b0ae-4e5… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> 59c9ecfe-c47d… Losada Patr… <span style="color: #BB0000;">NA</span>         595c9010-… b4645848-e3d8-492… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> 59c9ecfe-c47d… Losada Patr… <span style="color: #BB0000;">NA</span>         2f05ab20-… 3b715360-b0ae-4e5… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> 59c9ecfe-c47d… Agam   Maay… <span style="color: #BB0000;">NA</span>         595c9010-… b4645848-e3d8-492… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> 59c9ecfe-c47d… Agam   Maay… <span style="color: #BB0000;">NA</span>         2f05ab20-… 3b715360-b0ae-4e5… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> 59c9ecfe-c47d… Maat   Chri… <span style="color: #BB0000;">NA</span>         595c9010-… b4645848-e3d8-492… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> 59c9ecfe-c47d… Maat   Chri… <span style="color: #BB0000;">NA</span>         2f05ab20-… 3b715360-b0ae-4e5… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 45,812 more rows</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 28 more variables: assay &lt;list&gt;, batch_condition &lt;list&gt;, cell_count &lt;int&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   cell_type &lt;list&gt;, citation &lt;chr&gt;, default_embedding &lt;chr&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   development_stage &lt;list&gt;, disease &lt;list&gt;, embeddings &lt;list&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   explorer_url &lt;chr&gt;, feature_biotype &lt;list&gt;, feature_count &lt;int&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   feature_reference &lt;list&gt;, is_primary_data &lt;list&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   mean_genes_per_cell &lt;dbl&gt;, organism &lt;list&gt;, primary_cell_count &lt;int&gt;, …</span></span></span></code></pre></div>
 <p><code>author_datasets</code> provides a convenient point from which
 to make basic queries, e.g., finding the authors contributing the most
 datasets.</p>
 <div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">author_datasets</span> <span class="op">|&gt;</span></span>
 <span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/count.html" class="external-link">count</a></span><span class="op">(</span><span class="va">family</span>, <span class="va">given</span>, sort <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 3,988 × 3</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 4,192 × 3</span></span></span>
 <span><span class="co">#&gt;    family      given        n</span></span>
 <span><span class="co">#&gt;    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span></span>
 <span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> Casper      Tamara     232</span></span>
@@ -172,7 +172,7 @@ <h3 id="challenge-and-solution">Challenge and solution<a class="anchor" aria-lab
 <span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> Travaglini  Kyle J.    202</span></span>
 <span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> Nyhus       Julie      201</span></span>
 <span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> Lein        Ed S.      198</span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 3,978 more rows</span></span></span></code></pre></div>
+<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 4,182 more rows</span></span></span></code></pre></div>
 <p>Perhaps one is interested in the most prolific authors based on
 ‘collections’, rather than ‘datasets’. The five most prolific authors by
 collection are</p>
@@ -185,11 +185,11 @@ <h3 id="challenge-and-solution">Challenge and solution<a class="anchor" aria-lab
 <span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 5 × 3</span></span></span>
 <span><span class="co">#&gt;   family    given          n</span></span>
 <span><span class="co">#&gt;   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>     <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>      <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;">1</span> Teichmann Sarah A.      23</span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">1</span> Teichmann Sarah A.      24</span></span>
 <span><span class="co">#&gt; <span style="color: #BCBCBC;">2</span> Regev     Aviv          14</span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;">3</span> Haniffa   Muzlifah      12</span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;">4</span> Meyer     Kerstin B.    12</span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;">5</span> Polanski  Krzysztof     12</span></span></code></pre></div>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">3</span> Meyer     Kerstin B.    13</span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">4</span> Polanski  Krzysztof     13</span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">5</span> Haniffa   Muzlifah      12</span></span></code></pre></div>
 <p>The datasets associated with authors are</p>
 <div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate-joins.html" class="external-link">right_join</a></span><span class="op">(</span></span>
@@ -197,26 +197,26 @@ <h3 id="challenge-and-solution">Challenge and solution<a class="anchor" aria-lab
 <span>    <span class="va">prolific_authors</span>,</span>
 <span>    by <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"family"</span>, <span class="st">"given"</span><span class="op">)</span></span>
 <span><span class="op">)</span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 376 × 35</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 445 × 36</span></span></span>
 <span><span class="co">#&gt;    collection_id  family given consortium dataset_id dataset_version_id donor_id</span></span>
 <span><span class="co">#&gt;    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>      <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>      <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> 1d1c7275-476a… Regev  Aviv  <span style="color: #BB0000;">NA</span>         d319af7f-… 3c80a5bb-8c89-433… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> 1d1c7275-476a… Regev  Aviv  <span style="color: #BB0000;">NA</span>         bc7260e0-… cab44f51-3ebf-4c9… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> 1d1c7275-476a… Regev  Aviv  <span style="color: #BB0000;">NA</span>         8623d55f-… f7e3732a-eea9-49a… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> 1d1c7275-476a… Regev  Aviv  <span style="color: #BB0000;">NA</span>         7b75b2c4-… 4b53f264-a62e-41a… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> 1d1c7275-476a… Regev  Aviv  <span style="color: #BB0000;">NA</span>         5cdbb2ea-… 9944528e-f23b-4d8… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> 1d1c7275-476a… Regev  Aviv  <span style="color: #BB0000;">NA</span>         2f6a20f1-… 129c17aa-3d9d-435… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> f7cecffa-00b4… Meyer  Kers… <span style="color: #BB0000;">NA</span>         eaf0c852-… ec370e4c-4ce8-435… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> f7cecffa-00b4… Meyer  Kers… <span style="color: #BB0000;">NA</span>         5af90777-… 4fd0f389-89ac-4a6… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> f7cecffa-00b4… Meyer  Kers… <span style="color: #BB0000;">NA</span>         318cb2a6-… 99d31e0c-4ccf-42c… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> f7cecffa-00b4… Teich… Sara… <span style="color: #BB0000;">NA</span>         eaf0c852-… ec370e4c-4ce8-435… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 366 more rows</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 28 more variables: assay &lt;list&gt;, batch_condition &lt;list&gt;, cell_count &lt;int&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   cell_type &lt;list&gt;, citation &lt;chr&gt;, development_stage &lt;list&gt;, disease &lt;list&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   embeddings &lt;list&gt;, explorer_url &lt;chr&gt;, feature_biotype &lt;list&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   feature_count &lt;int&gt;, feature_reference &lt;list&gt;, is_primary_data &lt;list&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   mean_genes_per_cell &lt;dbl&gt;, organism &lt;list&gt;, primary_cell_count &lt;int&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   raw_data_location &lt;chr&gt;, schema_version &lt;chr&gt;, …</span></span></span></code></pre></div>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> b52eb423-5d0d… Polan… Krzy… <span style="color: #BB0000;">NA</span>         f75f2ff4-… 76399757-d131-4a4… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> b52eb423-5d0d… Polan… Krzy… <span style="color: #BB0000;">NA</span>         ed852810-… e394387d-fdb3-4a1… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> b52eb423-5d0d… Polan… Krzy… <span style="color: #BB0000;">NA</span>         d4e69e01-… fcc03458-cf50-425… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> b52eb423-5d0d… Polan… Krzy… <span style="color: #BB0000;">NA</span>         9d584fcb-… 0f5dba64-8621-420… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> b52eb423-5d0d… Polan… Krzy… <span style="color: #BB0000;">NA</span>         84f1a631-… 47d7cdd8-0895-483… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> b52eb423-5d0d… Polan… Krzy… <span style="color: #BB0000;">NA</span>         78fd69d2-… 98850cc8-8c09-466… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> b52eb423-5d0d… Polan… Krzy… <span style="color: #BB0000;">NA</span>         572f3f3e-… 54ec48d6-d115-40c… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> b52eb423-5d0d… Polan… Krzy… <span style="color: #BB0000;">NA</span>         1009f384-… 324c7c08-5399-493… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> b52eb423-5d0d… Teich… Sara… <span style="color: #BB0000;">NA</span>         f75f2ff4-… 76399757-d131-4a4… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> b52eb423-5d0d… Teich… Sara… <span style="color: #BB0000;">NA</span>         ed852810-… e394387d-fdb3-4a1… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 435 more rows</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 29 more variables: assay &lt;list&gt;, batch_condition &lt;list&gt;, cell_count &lt;int&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   cell_type &lt;list&gt;, citation &lt;chr&gt;, default_embedding &lt;chr&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   development_stage &lt;list&gt;, disease &lt;list&gt;, embeddings &lt;list&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   explorer_url &lt;chr&gt;, feature_biotype &lt;list&gt;, feature_count &lt;int&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   feature_reference &lt;list&gt;, is_primary_data &lt;list&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   mean_genes_per_cell &lt;dbl&gt;, organism &lt;list&gt;, primary_cell_count &lt;int&gt;, …</span></span></span></code></pre></div>
 <p>Alternatively, one might be interested in specific authors. This is
 most easily accomplished with a simple filter on
 <code>author_datasets</code>, e.g.,</p>
@@ -225,26 +225,26 @@ <h3 id="challenge-and-solution">Challenge and solution<a class="anchor" aria-lab
 <span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span></span>
 <span>        <span class="va">family</span> <span class="op"><a href="https://rdrr.io/r/base/match.html" class="external-link">%in%</a></span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Teichmann"</span>, <span class="st">"Regev"</span>, <span class="st">"Haniffa"</span><span class="op">)</span></span>
 <span>    <span class="op">)</span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 250 × 34</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 273 × 35</span></span></span>
 <span><span class="co">#&gt;    collection_id  family given consortium dataset_id dataset_version_id donor_id</span></span>
 <span><span class="co">#&gt;    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>      <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>      <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> 1d1c7275-476a… Regev  Aviv  <span style="color: #BB0000;">NA</span>         d319af7f-… 3c80a5bb-8c89-433… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> 1d1c7275-476a… Regev  Aviv  <span style="color: #BB0000;">NA</span>         bc7260e0-… cab44f51-3ebf-4c9… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> 1d1c7275-476a… Regev  Aviv  <span style="color: #BB0000;">NA</span>         8623d55f-… f7e3732a-eea9-49a… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> 1d1c7275-476a… Regev  Aviv  <span style="color: #BB0000;">NA</span>         7b75b2c4-… 4b53f264-a62e-41a… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> 1d1c7275-476a… Regev  Aviv  <span style="color: #BB0000;">NA</span>         5cdbb2ea-… 9944528e-f23b-4d8… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> 1d1c7275-476a… Regev  Aviv  <span style="color: #BB0000;">NA</span>         2f6a20f1-… 129c17aa-3d9d-435… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> f7cecffa-00b4… Teich… Sara… <span style="color: #BB0000;">NA</span>         eaf0c852-… ec370e4c-4ce8-435… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> f7cecffa-00b4… Teich… Sara… <span style="color: #BB0000;">NA</span>         5af90777-… 4fd0f389-89ac-4a6… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> f7cecffa-00b4… Teich… Sara… <span style="color: #BB0000;">NA</span>         318cb2a6-… 99d31e0c-4ccf-42c… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> 2d2e2acd-dade… Teich… Sara… <span style="color: #BB0000;">NA</span>         f9846bb4-… f0b11a56-236f-4e7… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 240 more rows</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 27 more variables: assay &lt;list&gt;, batch_condition &lt;list&gt;, cell_count &lt;int&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   cell_type &lt;list&gt;, citation &lt;chr&gt;, development_stage &lt;list&gt;, disease &lt;list&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   embeddings &lt;list&gt;, explorer_url &lt;chr&gt;, feature_biotype &lt;list&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   feature_count &lt;int&gt;, feature_reference &lt;list&gt;, is_primary_data &lt;list&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   mean_genes_per_cell &lt;dbl&gt;, organism &lt;list&gt;, primary_cell_count &lt;int&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   raw_data_location &lt;chr&gt;, schema_version &lt;chr&gt;, …</span></span></span></code></pre></div>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> b52eb423-5d0d… Teich… Sara… <span style="color: #BB0000;">NA</span>         f75f2ff4-… 76399757-d131-4a4… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> b52eb423-5d0d… Teich… Sara… <span style="color: #BB0000;">NA</span>         ed852810-… e394387d-fdb3-4a1… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> b52eb423-5d0d… Teich… Sara… <span style="color: #BB0000;">NA</span>         d4e69e01-… fcc03458-cf50-425… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> b52eb423-5d0d… Teich… Sara… <span style="color: #BB0000;">NA</span>         9d584fcb-… 0f5dba64-8621-420… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> b52eb423-5d0d… Teich… Sara… <span style="color: #BB0000;">NA</span>         84f1a631-… 47d7cdd8-0895-483… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> b52eb423-5d0d… Teich… Sara… <span style="color: #BB0000;">NA</span>         78fd69d2-… 98850cc8-8c09-466… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> b52eb423-5d0d… Teich… Sara… <span style="color: #BB0000;">NA</span>         572f3f3e-… 54ec48d6-d115-40c… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> b52eb423-5d0d… Teich… Sara… <span style="color: #BB0000;">NA</span>         1009f384-… 324c7c08-5399-493… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> 793fdaec-5067… Regev  Aviv  <span style="color: #BB0000;">NA</span>         86282760-… f4915942-787b-405… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> 793fdaec-5067… Regev  Aviv  <span style="color: #BB0000;">NA</span>         471647b3-… 37188227-b8a7-4a7… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 263 more rows</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 28 more variables: assay &lt;list&gt;, batch_condition &lt;list&gt;, cell_count &lt;int&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   cell_type &lt;list&gt;, citation &lt;chr&gt;, default_embedding &lt;chr&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   development_stage &lt;list&gt;, disease &lt;list&gt;, embeddings &lt;list&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   explorer_url &lt;chr&gt;, feature_biotype &lt;list&gt;, feature_count &lt;int&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   feature_reference &lt;list&gt;, is_primary_data &lt;list&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   mean_genes_per_cell &lt;dbl&gt;, organism &lt;list&gt;, primary_cell_count &lt;int&gt;, …</span></span></span></code></pre></div>
 <p>or more carefully by constructing at <code>data.frame</code> of
 family and given names, and performing a join with
 <code>author_datasets</code></p>
@@ -259,26 +259,26 @@ <h3 id="challenge-and-solution">Challenge and solution<a class="anchor" aria-lab
 <span>    <span class="va">authors_of_interest</span>,</span>
 <span>    by <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"family"</span>, <span class="st">"given"</span><span class="op">)</span></span>
 <span><span class="op">)</span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 240 × 34</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 263 × 35</span></span></span>
 <span><span class="co">#&gt;    collection_id  family given consortium dataset_id dataset_version_id donor_id</span></span>
 <span><span class="co">#&gt;    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>      <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>      <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> 1d1c7275-476a… Regev  Aviv  <span style="color: #BB0000;">NA</span>         d319af7f-… 3c80a5bb-8c89-433… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> 1d1c7275-476a… Regev  Aviv  <span style="color: #BB0000;">NA</span>         bc7260e0-… cab44f51-3ebf-4c9… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> 1d1c7275-476a… Regev  Aviv  <span style="color: #BB0000;">NA</span>         8623d55f-… f7e3732a-eea9-49a… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> 1d1c7275-476a… Regev  Aviv  <span style="color: #BB0000;">NA</span>         7b75b2c4-… 4b53f264-a62e-41a… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> 1d1c7275-476a… Regev  Aviv  <span style="color: #BB0000;">NA</span>         5cdbb2ea-… 9944528e-f23b-4d8… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> 1d1c7275-476a… Regev  Aviv  <span style="color: #BB0000;">NA</span>         2f6a20f1-… 129c17aa-3d9d-435… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> f7cecffa-00b4… Teich… Sara… <span style="color: #BB0000;">NA</span>         eaf0c852-… ec370e4c-4ce8-435… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> f7cecffa-00b4… Teich… Sara… <span style="color: #BB0000;">NA</span>         5af90777-… 4fd0f389-89ac-4a6… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> f7cecffa-00b4… Teich… Sara… <span style="color: #BB0000;">NA</span>         318cb2a6-… 99d31e0c-4ccf-42c… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> 2d2e2acd-dade… Teich… Sara… <span style="color: #BB0000;">NA</span>         f9846bb4-… f0b11a56-236f-4e7… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 230 more rows</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 27 more variables: assay &lt;list&gt;, batch_condition &lt;list&gt;, cell_count &lt;int&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   cell_type &lt;list&gt;, citation &lt;chr&gt;, development_stage &lt;list&gt;, disease &lt;list&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   embeddings &lt;list&gt;, explorer_url &lt;chr&gt;, feature_biotype &lt;list&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   feature_count &lt;int&gt;, feature_reference &lt;list&gt;, is_primary_data &lt;list&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   mean_genes_per_cell &lt;dbl&gt;, organism &lt;list&gt;, primary_cell_count &lt;int&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   raw_data_location &lt;chr&gt;, schema_version &lt;chr&gt;, …</span></span></span></code></pre></div>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> b52eb423-5d0d… Teich… Sara… <span style="color: #BB0000;">NA</span>         f75f2ff4-… 76399757-d131-4a4… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> b52eb423-5d0d… Teich… Sara… <span style="color: #BB0000;">NA</span>         ed852810-… e394387d-fdb3-4a1… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> b52eb423-5d0d… Teich… Sara… <span style="color: #BB0000;">NA</span>         d4e69e01-… fcc03458-cf50-425… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> b52eb423-5d0d… Teich… Sara… <span style="color: #BB0000;">NA</span>         9d584fcb-… 0f5dba64-8621-420… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> b52eb423-5d0d… Teich… Sara… <span style="color: #BB0000;">NA</span>         84f1a631-… 47d7cdd8-0895-483… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> b52eb423-5d0d… Teich… Sara… <span style="color: #BB0000;">NA</span>         78fd69d2-… 98850cc8-8c09-466… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> b52eb423-5d0d… Teich… Sara… <span style="color: #BB0000;">NA</span>         572f3f3e-… 54ec48d6-d115-40c… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> b52eb423-5d0d… Teich… Sara… <span style="color: #BB0000;">NA</span>         1009f384-… 324c7c08-5399-493… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> 793fdaec-5067… Regev  Aviv  <span style="color: #BB0000;">NA</span>         86282760-… f4915942-787b-405… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> 793fdaec-5067… Regev  Aviv  <span style="color: #BB0000;">NA</span>         471647b3-… 37188227-b8a7-4a7… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 253 more rows</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 28 more variables: assay &lt;list&gt;, batch_condition &lt;list&gt;, cell_count &lt;int&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   cell_type &lt;list&gt;, citation &lt;chr&gt;, default_embedding &lt;chr&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   development_stage &lt;list&gt;, disease &lt;list&gt;, embeddings &lt;list&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   explorer_url &lt;chr&gt;, feature_biotype &lt;list&gt;, feature_count &lt;int&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   feature_reference &lt;list&gt;, is_primary_data &lt;list&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   mean_genes_per_cell &lt;dbl&gt;, organism &lt;list&gt;, primary_cell_count &lt;int&gt;, …</span></span></span></code></pre></div>
 </div>
 <div class="section level3">
 <h3 id="areas-of-interest">Areas of interest<a class="anchor" aria-label="anchor" href="#areas-of-interest"></a>
@@ -291,20 +291,20 @@ <h3 id="areas-of-interest">Areas of interest<a class="anchor" aria-label="anchor
 <div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">author_datasets</span> <span class="op">|&gt;</span></span>
 <span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="va">family</span>, <span class="va">given</span>, <span class="va">dataset_id</span>, <span class="va">disease</span><span class="op">)</span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 43,244 × 4</span></span></span>
-<span><span class="co">#&gt;    family  given    dataset_id                           disease   </span></span>
-<span><span class="co">#&gt;    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                                <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>    </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> Zhu     Kaiyi    53ce2631-3646-4172-bbd9-38b0a44d8214 <span style="color: #949494;">&lt;list [1]&gt;</span></span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> Zhu     Kaiyi    1d4128f6-c27b-40c4-af77-b1c7e2b694e7 <span style="color: #949494;">&lt;list [1]&gt;</span></span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> Bendl   Jaroslav 53ce2631-3646-4172-bbd9-38b0a44d8214 <span style="color: #949494;">&lt;list [1]&gt;</span></span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> Bendl   Jaroslav 1d4128f6-c27b-40c4-af77-b1c7e2b694e7 <span style="color: #949494;">&lt;list [1]&gt;</span></span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> Rahman  Samir    53ce2631-3646-4172-bbd9-38b0a44d8214 <span style="color: #949494;">&lt;list [1]&gt;</span></span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> Rahman  Samir    1d4128f6-c27b-40c4-af77-b1c7e2b694e7 <span style="color: #949494;">&lt;list [1]&gt;</span></span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> Vicari  James M. 53ce2631-3646-4172-bbd9-38b0a44d8214 <span style="color: #949494;">&lt;list [1]&gt;</span></span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> Vicari  James M. 1d4128f6-c27b-40c4-af77-b1c7e2b694e7 <span style="color: #949494;">&lt;list [1]&gt;</span></span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> Coleman Claire   53ce2631-3646-4172-bbd9-38b0a44d8214 <span style="color: #949494;">&lt;list [1]&gt;</span></span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> Coleman Claire   1d4128f6-c27b-40c4-af77-b1c7e2b694e7 <span style="color: #949494;">&lt;list [1]&gt;</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 43,234 more rows</span></span></span></code></pre></div>
+<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 45,822 × 4</span></span></span>
+<span><span class="co">#&gt;    family given        dataset_id                           disease   </span></span>
+<span><span class="co">#&gt;    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>        <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                                <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>    </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> Yang   Andrew C.    595c9010-99ec-462d-b6a1-2b2fe5407871 <span style="color: #949494;">&lt;list [4]&gt;</span></span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> Yang   Andrew C.    2f05ab20-a092-4bab-9276-3e0eb24e3fee <span style="color: #949494;">&lt;list [9]&gt;</span></span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> Kern   Fabian       595c9010-99ec-462d-b6a1-2b2fe5407871 <span style="color: #949494;">&lt;list [4]&gt;</span></span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> Kern   Fabian       2f05ab20-a092-4bab-9276-3e0eb24e3fee <span style="color: #949494;">&lt;list [9]&gt;</span></span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> Losada Patricia M.  595c9010-99ec-462d-b6a1-2b2fe5407871 <span style="color: #949494;">&lt;list [4]&gt;</span></span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> Losada Patricia M.  2f05ab20-a092-4bab-9276-3e0eb24e3fee <span style="color: #949494;">&lt;list [9]&gt;</span></span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> Agam   Maayan R.    595c9010-99ec-462d-b6a1-2b2fe5407871 <span style="color: #949494;">&lt;list [4]&gt;</span></span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> Agam   Maayan R.    2f05ab20-a092-4bab-9276-3e0eb24e3fee <span style="color: #949494;">&lt;list [9]&gt;</span></span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> Maat   Christina A. 595c9010-99ec-462d-b6a1-2b2fe5407871 <span style="color: #949494;">&lt;list [4]&gt;</span></span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> Maat   Christina A. 2f05ab20-a092-4bab-9276-3e0eb24e3fee <span style="color: #949494;">&lt;list [9]&gt;</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 45,812 more rows</span></span></span></code></pre></div>
 <p>This is because a single dataset may involve more than one disease.
 Furthermore, each entry in the list contains two elements, the
 <code>label</code> and <code>ontology_term_id</code> of the disease.
@@ -313,51 +313,51 @@ <h3 id="areas-of-interest">Areas of interest<a class="anchor" aria-label="anchor
 outlined in an accompanying article. Discover possible diseases.</p>
 <div class="sourceCode" id="cb10"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/facets.html">facets</a></span><span class="op">(</span><span class="fu"><a href="../reference/db.html">db</a></span><span class="op">(</span><span class="op">)</span>, <span class="st">"disease"</span><span class="op">)</span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 103 × 4</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 115 × 4</span></span></span>
 <span><span class="co">#&gt;    facet   label                                          ontology_term_id     n</span></span>
 <span><span class="co">#&gt;    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                                          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> disease normal                                         PATO:0000461      <span style="text-decoration: underline;">1</span>001</span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> disease COVID-19                                       MONDO:0100096       60</span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> disease normal                                         PATO:0000461      <span style="text-decoration: underline;">1</span>113</span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> disease COVID-19                                       MONDO:0100096       62</span></span>
 <span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> disease dementia                                       MONDO:0001627       50</span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> disease diabetic kidney disease                        MONDO:0005016       26</span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> disease myocardial infarction                          MONDO:0005068       26</span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> disease myocardial infarction                          MONDO:0005068       27</span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> disease diabetic kidney disease                        MONDO:0005016       26</span></span>
 <span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> disease autosomal dominant polycystic kidney disease   MONDO:0004691       24</span></span>
 <span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> disease Alzheimer disease                              MONDO:0004975       15</span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> disease lung adenocarcinoma                            MONDO:0005061       11</span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> disease small cell lung carcinoma                      MONDO:0008433       11</span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> disease small cell lung carcinoma                      MONDO:0008433       12</span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> disease lung adenocarcinoma                            MONDO:0005061       11</span></span>
 <span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> disease arrhythmogenic right ventricular cardiomyopat… MONDO:0016587        9</span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 93 more rows</span></span></span></code></pre></div>
+<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 105 more rows</span></span></span></code></pre></div>
 <p>Focus on <code>COVID-19</code>, and use <code><a href="../reference/facets.html">facets_filter()</a></code>
 to select relevant author-dataset combinations.</p>
 <div class="sourceCode" id="cb11"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">author_datasets</span> <span class="op">|&gt;</span></span>
 <span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="fu"><a href="../reference/facets.html">facets_filter</a></span><span class="op">(</span><span class="va">disease</span>, <span class="st">"label"</span>, <span class="st">"COVID-19"</span><span class="op">)</span><span class="op">)</span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 1,766 × 34</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 1,812 × 35</span></span></span>
 <span><span class="co">#&gt;    collection_id  family given consortium dataset_id dataset_version_id donor_id</span></span>
 <span><span class="co">#&gt;    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>      <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>      <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> a72afd53-ab92… Wilk   Aaro… <span style="color: #BB0000;">NA</span>         456e8b9b-… a5ac4378-58f6-4ff… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> a72afd53-ab92… Rusta… Arjun <span style="color: #BB0000;">NA</span>         456e8b9b-… a5ac4378-58f6-4ff… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> a72afd53-ab92… Zhao   Nanc… <span style="color: #BB0000;">NA</span>         456e8b9b-… a5ac4378-58f6-4ff… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> a72afd53-ab92… Roque  Jona… <span style="color: #BB0000;">NA</span>         456e8b9b-… a5ac4378-58f6-4ff… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> a72afd53-ab92… Martí… Giov… <span style="color: #BB0000;">NA</span>         456e8b9b-… a5ac4378-58f6-4ff… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> a72afd53-ab92… McKec… Juli… <span style="color: #BB0000;">NA</span>         456e8b9b-… a5ac4378-58f6-4ff… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> a72afd53-ab92… Ivison Geof… <span style="color: #BB0000;">NA</span>         456e8b9b-… a5ac4378-58f6-4ff… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> a72afd53-ab92… Ranga… Than… <span style="color: #BB0000;">NA</span>         456e8b9b-… a5ac4378-58f6-4ff… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> a72afd53-ab92… Verga… Rose… <span style="color: #BB0000;">NA</span>         456e8b9b-… a5ac4378-58f6-4ff… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> a72afd53-ab92… Hollis Tayl… <span style="color: #BB0000;">NA</span>         456e8b9b-… a5ac4378-58f6-4ff… <span style="color: #949494;">&lt;list&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 1,756 more rows</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 27 more variables: assay &lt;list&gt;, batch_condition &lt;list&gt;, cell_count &lt;int&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   cell_type &lt;list&gt;, citation &lt;chr&gt;, development_stage &lt;list&gt;, disease &lt;list&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   embeddings &lt;list&gt;, explorer_url &lt;chr&gt;, feature_biotype &lt;list&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   feature_count &lt;int&gt;, feature_reference &lt;list&gt;, is_primary_data &lt;list&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   mean_genes_per_cell &lt;dbl&gt;, organism &lt;list&gt;, primary_cell_count &lt;int&gt;,</span></span></span>
-<span><span class="co">#&gt; <span style="color: #949494;">#   raw_data_location &lt;chr&gt;, schema_version &lt;chr&gt;, …</span></span></span></code></pre></div>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> 59c9ecfe-c47d… Yang   Andr… <span style="color: #BB0000;">NA</span>         595c9010-… b4645848-e3d8-492… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> 59c9ecfe-c47d… Yang   Andr… <span style="color: #BB0000;">NA</span>         2f05ab20-… 3b715360-b0ae-4e5… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> 59c9ecfe-c47d… Kern   Fabi… <span style="color: #BB0000;">NA</span>         595c9010-… b4645848-e3d8-492… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> 59c9ecfe-c47d… Kern   Fabi… <span style="color: #BB0000;">NA</span>         2f05ab20-… 3b715360-b0ae-4e5… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> 59c9ecfe-c47d… Losada Patr… <span style="color: #BB0000;">NA</span>         595c9010-… b4645848-e3d8-492… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> 59c9ecfe-c47d… Losada Patr… <span style="color: #BB0000;">NA</span>         2f05ab20-… 3b715360-b0ae-4e5… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> 59c9ecfe-c47d… Agam   Maay… <span style="color: #BB0000;">NA</span>         595c9010-… b4645848-e3d8-492… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> 59c9ecfe-c47d… Agam   Maay… <span style="color: #BB0000;">NA</span>         2f05ab20-… 3b715360-b0ae-4e5… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> 59c9ecfe-c47d… Maat   Chri… <span style="color: #BB0000;">NA</span>         595c9010-… b4645848-e3d8-492… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> 59c9ecfe-c47d… Maat   Chri… <span style="color: #BB0000;">NA</span>         2f05ab20-… 3b715360-b0ae-4e5… <span style="color: #949494;">&lt;chr&gt;</span>   </span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 1,802 more rows</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 28 more variables: assay &lt;list&gt;, batch_condition &lt;list&gt;, cell_count &lt;int&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   cell_type &lt;list&gt;, citation &lt;chr&gt;, default_embedding &lt;chr&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   development_stage &lt;list&gt;, disease &lt;list&gt;, embeddings &lt;list&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   explorer_url &lt;chr&gt;, feature_biotype &lt;list&gt;, feature_count &lt;int&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   feature_reference &lt;list&gt;, is_primary_data &lt;list&gt;,</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   mean_genes_per_cell &lt;dbl&gt;, organism &lt;list&gt;, primary_cell_count &lt;int&gt;, …</span></span></span></code></pre></div>
 <p>Authors contributing to these datasets are</p>
 <div class="sourceCode" id="cb12"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">author_datasets</span> <span class="op">|&gt;</span></span>
 <span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="fu"><a href="../reference/facets.html">facets_filter</a></span><span class="op">(</span><span class="va">disease</span>, <span class="st">"label"</span>, <span class="st">"COVID-19"</span><span class="op">)</span><span class="op">)</span> <span class="op">|&gt;</span></span>
 <span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/count.html" class="external-link">count</a></span><span class="op">(</span><span class="va">family</span>, <span class="va">given</span>, sort <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 794 × 3</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 817 × 3</span></span></span>
 <span><span class="co">#&gt;    family       given           n</span></span>
 <span><span class="co">#&gt;    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>        <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span></span>
 <span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> Farber       Donna L.       29</span></span>
@@ -370,7 +370,7 @@ <h3 id="areas-of-interest">Areas of interest<a class="anchor" aria-label="anchor
 <span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> Dogra        Pranay         27</span></span>
 <span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> Gray         Joshua I.      27</span></span>
 <span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> Idzikowski   Emma           27</span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 784 more rows</span></span></span></code></pre></div>
+<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 807 more rows</span></span></span></code></pre></div>
 <p>A second approach is to follow the practices in <a href="https://r4ds.hadley.nz/rectangling" class="external-link">R for Data Science</a>, the
 <code>disease</code> column can be ‘unnested’ twice, the first time to
 expand the <code>author_datasets</code> table for each disease, and the
@@ -382,20 +382,20 @@ <h3 id="areas-of-interest">Areas of interest<a class="anchor" aria-label="anchor
 <span>    <span class="fu">tidyr</span><span class="fu">::</span><span class="fu"><a href="https://tidyr.tidyverse.org/reference/unnest_longer.html" class="external-link">unnest_longer</a></span><span class="op">(</span><span class="va">disease</span><span class="op">)</span> <span class="op">|&gt;</span></span>
 <span>    <span class="fu">tidyr</span><span class="fu">::</span><span class="fu"><a href="https://tidyr.tidyverse.org/reference/unnest_wider.html" class="external-link">unnest_wider</a></span><span class="op">(</span><span class="va">disease</span><span class="op">)</span></span>
 <span><span class="va">author_dataset_diseases</span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 57,097 × 5</span></span></span>
-<span><span class="co">#&gt;    family  given    dataset_id                           label  ontology_term_id</span></span>
-<span><span class="co">#&gt;    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                                <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>           </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> Zhu     Kaiyi    53ce2631-3646-4172-bbd9-38b0a44d8214 normal PATO:0000461    </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> Zhu     Kaiyi    1d4128f6-c27b-40c4-af77-b1c7e2b694e7 normal PATO:0000461    </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> Bendl   Jaroslav 53ce2631-3646-4172-bbd9-38b0a44d8214 normal PATO:0000461    </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> Bendl   Jaroslav 1d4128f6-c27b-40c4-af77-b1c7e2b694e7 normal PATO:0000461    </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> Rahman  Samir    53ce2631-3646-4172-bbd9-38b0a44d8214 normal PATO:0000461    </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> Rahman  Samir    1d4128f6-c27b-40c4-af77-b1c7e2b694e7 normal PATO:0000461    </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> Vicari  James M. 53ce2631-3646-4172-bbd9-38b0a44d8214 normal PATO:0000461    </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> Vicari  James M. 1d4128f6-c27b-40c4-af77-b1c7e2b694e7 normal PATO:0000461    </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> Coleman Claire   53ce2631-3646-4172-bbd9-38b0a44d8214 normal PATO:0000461    </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> Coleman Claire   1d4128f6-c27b-40c4-af77-b1c7e2b694e7 normal PATO:0000461    </span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 57,087 more rows</span></span></span></code></pre></div>
+<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 60,356 × 5</span></span></span>
+<span><span class="co">#&gt;    family given     dataset_id                           label  ontology_term_id</span></span>
+<span><span class="co">#&gt;    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>     <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                                <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>           </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> Yang   Andrew C. 595c9010-99ec-462d-b6a1-2b2fe5407871 COVID… MONDO:0100096   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> Yang   Andrew C. 595c9010-99ec-462d-b6a1-2b2fe5407871 aspir… MONDO:0000265   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> Yang   Andrew C. 595c9010-99ec-462d-b6a1-2b2fe5407871 influ… MONDO:0005812   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> Yang   Andrew C. 595c9010-99ec-462d-b6a1-2b2fe5407871 malig… MONDO:0009831   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> Yang   Andrew C. 2f05ab20-a092-4bab-9276-3e0eb24e3fee COVID… MONDO:0100096   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> Yang   Andrew C. 2f05ab20-a092-4bab-9276-3e0eb24e3fee breas… MONDO:0007254   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> Yang   Andrew C. 2f05ab20-a092-4bab-9276-3e0eb24e3fee cardi… MONDO:0004994   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> Yang   Andrew C. 2f05ab20-a092-4bab-9276-3e0eb24e3fee chron… MONDO:0005002   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> Yang   Andrew C. 2f05ab20-a092-4bab-9276-3e0eb24e3fee heart… MONDO:0005267   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> Yang   Andrew C. 2f05ab20-a092-4bab-9276-3e0eb24e3fee influ… MONDO:0005812   </span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 60,346 more rows</span></span></span></code></pre></div>
 <p>Author-dataset combinations associated with COVID-19, and
 contributors to these datasets, are</p>
 <div class="sourceCode" id="cb14"><pre class="downlit sourceCode r">
@@ -430,21 +430,21 @@ <h3 id="duplicate-collection-author-combinations">Duplicate collection-author co
 <div class="sourceCode" id="cb15"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">authors</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/query.html">authors</a></span><span class="op">(</span><span class="op">)</span></span>
 <span><span class="va">authors</span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 5,154 × 4</span></span></span>
-<span><span class="co">#&gt;    collection_id                        family   given      consortium</span></span>
-<span><span class="co">#&gt;    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                                <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>      <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>     </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> ceb895f4-ff9f-403a-b7c3-187a9657ac2c Zhu      Kaiyi      <span style="color: #BB0000;">NA</span>        </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> ceb895f4-ff9f-403a-b7c3-187a9657ac2c Bendl    Jaroslav   <span style="color: #BB0000;">NA</span>        </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> ceb895f4-ff9f-403a-b7c3-187a9657ac2c Rahman   Samir      <span style="color: #BB0000;">NA</span>        </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> ceb895f4-ff9f-403a-b7c3-187a9657ac2c Vicari   James M.   <span style="color: #BB0000;">NA</span>        </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> ceb895f4-ff9f-403a-b7c3-187a9657ac2c Coleman  Claire     <span style="color: #BB0000;">NA</span>        </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> ceb895f4-ff9f-403a-b7c3-187a9657ac2c Clarence Tereza     <span style="color: #BB0000;">NA</span>        </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> ceb895f4-ff9f-403a-b7c3-187a9657ac2c Latouche Ovaun      <span style="color: #BB0000;">NA</span>        </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> ceb895f4-ff9f-403a-b7c3-187a9657ac2c Tsankova Nadejda M. <span style="color: #BB0000;">NA</span>        </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> ceb895f4-ff9f-403a-b7c3-187a9657ac2c Li       Aiqun      <span style="color: #BB0000;">NA</span>        </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> ceb895f4-ff9f-403a-b7c3-187a9657ac2c Brennand Kristen J. <span style="color: #BB0000;">NA</span>        </span></span>
-<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 5,144 more rows</span></span></span></code></pre></div>
-<p>There are 5154 collection-author combinations. We expect these to be
+<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 5,447 × 4</span></span></span>
+<span><span class="co">#&gt;    collection_id                        family   given        consortium</span></span>
+<span><span class="co">#&gt;    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                                <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>        <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>     </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Yang     Andrew C.    <span style="color: #BB0000;">NA</span>        </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Kern     Fabian       <span style="color: #BB0000;">NA</span>        </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Losada   Patricia M.  <span style="color: #BB0000;">NA</span>        </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Agam     Maayan R.    <span style="color: #BB0000;">NA</span>        </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Maat     Christina A. <span style="color: #BB0000;">NA</span>        </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Schmartz Georges P.   <span style="color: #BB0000;">NA</span>        </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Fehlmann Tobias       <span style="color: #BB0000;">NA</span>        </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Stein    Julian A.    <span style="color: #BB0000;">NA</span>        </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Schaum   Nicholas     <span style="color: #BB0000;">NA</span>        </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Lee      Davis P.     <span style="color: #BB0000;">NA</span>        </span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 5,437 more rows</span></span></span></code></pre></div>
+<p>There are 5447 collection-author combinations. We expect these to be
 distinct (each row identifying a unique collection-author combination).
 But this is not true</p>
 <div class="sourceCode" id="cb16"><pre class="downlit sourceCode r">
@@ -479,7 +479,7 @@ <h3 id="duplicate-collection-author-combinations">Duplicate collection-author co
 <span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 1 × 18</span></span></span>
 <span><span class="co">#&gt;   collection_id     collection_version_id collection_url consortia contact_email</span></span>
 <span><span class="co">#&gt;   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>             <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                 <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>        </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;">1</span> e5f58829-1a66-40… 0a47227f-aab6-4c3d-b… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    angela.pisco…</span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">1</span> e5f58829-1a66-40… 519f5ac5-1f84-4b48-9… https://cellx… <span style="color: #949494;">&lt;chr [2]&gt;</span> angela.pisco…</span></span>
 <span><span class="co">#&gt; <span style="color: #949494;"># ℹ 13 more variables: contact_name &lt;chr&gt;, curator_name &lt;chr&gt;,</span></span></span>
 <span><span class="co">#&gt; <span style="color: #949494;">#   description &lt;chr&gt;, doi &lt;chr&gt;, links &lt;list&gt;, name &lt;chr&gt;,</span></span></span>
 <span><span class="co">#&gt; <span style="color: #949494;">#   publisher_metadata &lt;list&gt;, revising_in &lt;lgl&gt;, revision_of &lt;lgl&gt;,</span></span></span>
@@ -559,9 +559,9 @@ <h2 id="case-study-using-ontology-to-identify-datasets">Case study: using ontolo
 <div class="section level2">
 <h2 class="unnumbered" id="session-information">Session information<a class="anchor" aria-label="anchor" href="#session-information"></a>
 </h2>
-<pre><code><span><span class="co">#&gt; R version 4.3.2 (2023-10-31)</span></span>
+<pre><code><span><span class="co">#&gt; R version 4.3.3 (2024-02-29)</span></span>
 <span><span class="co">#&gt; Platform: x86_64-pc-linux-gnu (64-bit)</span></span>
-<span><span class="co">#&gt; Running under: Ubuntu 22.04.3 LTS</span></span>
+<span><span class="co">#&gt; Running under: Ubuntu 22.04.4 LTS</span></span>
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; Matrix products: default</span></span>
 <span><span class="co">#&gt; BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 </span></span>
@@ -580,28 +580,27 @@ <h2 class="unnumbered" id="session-information">Session information<a class="anc
 <span><span class="co">#&gt; [1] stats     graphics  grDevices utils     datasets  methods   base     </span></span>
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; other attached packages:</span></span>
-<span><span class="co">#&gt; [1] cellxgenedp_1.7.2 dplyr_1.1.4       BiocStyle_2.30.0 </span></span>
+<span><span class="co">#&gt; [1] cellxgenedp_1.7.3 dplyr_1.1.4       BiocStyle_2.30.0 </span></span>
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; loaded via a namespace (and not attached):</span></span>
-<span><span class="co">#&gt;  [1] tidyr_1.3.0         sass_0.4.8          utf8_1.2.4         </span></span>
-<span><span class="co">#&gt;  [4] generics_0.1.3      stringi_1.8.3       digest_0.6.34      </span></span>
-<span><span class="co">#&gt;  [7] magrittr_2.0.3      evaluate_0.23       bookdown_0.37      </span></span>
-<span><span class="co">#&gt; [10] fastmap_1.1.1       jsonlite_1.8.8      promises_1.2.1     </span></span>
-<span><span class="co">#&gt; [13] BiocManager_1.30.22 httr_1.4.7          purrr_1.0.2        </span></span>
-<span><span class="co">#&gt; [16] fansi_1.0.6         textshaping_0.3.7   jquerylib_0.1.4    </span></span>
-<span><span class="co">#&gt; [19] cli_3.6.2           shiny_1.8.0         rlang_1.1.3        </span></span>
-<span><span class="co">#&gt; [22] ellipsis_0.3.2      withr_3.0.0         cachem_1.0.8       </span></span>
-<span><span class="co">#&gt; [25] yaml_2.3.8          tools_4.3.2         memoise_2.0.1      </span></span>
-<span><span class="co">#&gt; [28] httpuv_1.6.13       DT_0.31             curl_5.2.0         </span></span>
-<span><span class="co">#&gt; [31] vctrs_0.6.5         rjsoncons_1.1.0     R6_2.5.1           </span></span>
-<span><span class="co">#&gt; [34] mime_0.12           lifecycle_1.0.4     stringr_1.5.1      </span></span>
-<span><span class="co">#&gt; [37] fs_1.6.3            htmlwidgets_1.6.4   ragg_1.2.7         </span></span>
-<span><span class="co">#&gt; [40] pkgconfig_2.0.3     desc_1.4.3          pkgdown_2.0.7      </span></span>
-<span><span class="co">#&gt; [43] pillar_1.9.0        bslib_0.6.1         later_1.3.2        </span></span>
-<span><span class="co">#&gt; [46] glue_1.7.0          Rcpp_1.0.12         systemfonts_1.0.5  </span></span>
-<span><span class="co">#&gt; [49] xfun_0.41           tibble_3.2.1        tidyselect_1.2.0   </span></span>
-<span><span class="co">#&gt; [52] knitr_1.45          xtable_1.8-4        htmltools_0.5.7    </span></span>
-<span><span class="co">#&gt; [55] rmarkdown_2.25      compiler_4.3.2</span></span></code></pre>
+<span><span class="co">#&gt;  [1] sass_0.4.9          utf8_1.2.4          generics_0.1.3     </span></span>
+<span><span class="co">#&gt;  [4] tidyr_1.3.1         digest_0.6.35       magrittr_2.0.3     </span></span>
+<span><span class="co">#&gt;  [7] evaluate_0.23       bookdown_0.38       fastmap_1.1.1      </span></span>
+<span><span class="co">#&gt; [10] jsonlite_1.8.8      promises_1.2.1      BiocManager_1.30.22</span></span>
+<span><span class="co">#&gt; [13] httr_1.4.7          purrr_1.0.2         fansi_1.0.6        </span></span>
+<span><span class="co">#&gt; [16] textshaping_0.3.7   jquerylib_0.1.4     cli_3.6.2          </span></span>
+<span><span class="co">#&gt; [19] shiny_1.8.1         rlang_1.1.3         withr_3.0.0        </span></span>
+<span><span class="co">#&gt; [22] cachem_1.0.8        yaml_2.3.8          tools_4.3.3        </span></span>
+<span><span class="co">#&gt; [25] memoise_2.0.1       httpuv_1.6.15       DT_0.32            </span></span>
+<span><span class="co">#&gt; [28] curl_5.2.1          vctrs_0.6.5         rjsoncons_1.2.0    </span></span>
+<span><span class="co">#&gt; [31] R6_2.5.1            mime_0.12           lifecycle_1.0.4    </span></span>
+<span><span class="co">#&gt; [34] fs_1.6.3            htmlwidgets_1.6.4   ragg_1.3.0         </span></span>
+<span><span class="co">#&gt; [37] pkgconfig_2.0.3     desc_1.4.3          pkgdown_2.0.7      </span></span>
+<span><span class="co">#&gt; [40] pillar_1.9.0        bslib_0.7.0         later_1.3.2        </span></span>
+<span><span class="co">#&gt; [43] glue_1.7.0          Rcpp_1.0.12         systemfonts_1.0.6  </span></span>
+<span><span class="co">#&gt; [46] xfun_0.43           tibble_3.2.1        tidyselect_1.2.1   </span></span>
+<span><span class="co">#&gt; [49] knitr_1.45          xtable_1.8-4        htmltools_0.5.8    </span></span>
+<span><span class="co">#&gt; [52] rmarkdown_2.26      compiler_4.3.3</span></span></code></pre>
 </div>
   </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
     </nav></aside>
diff --git a/articles/index.html b/articles/index.html
index b12151e..497b6e8 100644
--- a/articles/index.html
+++ b/articles/index.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">cellxgenedp</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.2</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.3</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/authors.html b/authors.html
index 62d8778..7685c97 100644
--- a/authors.html
+++ b/authors.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="index.html">cellxgenedp</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.2</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.3</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -69,13 +69,13 @@ <h2 id="citation">Citation</h2>
 
       <p>Morgan M, Interdonato K (2024).
 <em>cellxgenedp: Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal</em>.
-R package version 1.7.2, https://github.com/mtmorgan/cellxgenedp, <a href="https://mtmorgan.github.io/cellxgenedp/">https://mtmorgan.github.io/cellxgenedp/</a>. 
+R package version 1.7.3, https://github.com/mtmorgan/cellxgenedp, <a href="https://mtmorgan.github.io/cellxgenedp/">https://mtmorgan.github.io/cellxgenedp/</a>. 
 </p>
       <pre>@Manual{,
   title = {cellxgenedp: Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal},
   author = {Martin Morgan and Kayla Interdonato},
   year = {2024},
-  note = {R package version 1.7.2, https://github.com/mtmorgan/cellxgenedp},
+  note = {R package version 1.7.3, https://github.com/mtmorgan/cellxgenedp},
   url = {https://mtmorgan.github.io/cellxgenedp/},
 }</pre>
     </div>
diff --git a/deps/bootstrap-5.3.1/bootstrap.min.css b/deps/bootstrap-5.3.1/bootstrap.min.css
index 0fa3167..b174f93 100644
--- a/deps/bootstrap-5.3.1/bootstrap.min.css
+++ b/deps/bootstrap-5.3.1/bootstrap.min.css
@@ -2,4 +2,4 @@
    * Bootstrap  v5.3.1 (https://getbootstrap.com/)
    * Copyright 2011-2023 The Bootstrap Authors
    * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
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.dropdown-toggle::after{vertical-align:0}.dropstart .dropdown-menu[data-bs-popper]{top:0;right:100%;left:auto;margin-top:0;margin-right:var(--bs-dropdown-spacer)}.dropstart .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:""}.dropstart .dropdown-toggle::after{display:none}.dropstart .dropdown-toggle::before{display:inline-block;margin-right:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:.3em solid;border-bottom:.3em solid transparent}.dropstart .dropdown-toggle:empty::after{margin-left:0}.dropstart .dropdown-toggle::before{vertical-align:0}.dropdown-divider{height:0;margin:var(--bs-dropdown-divider-margin-y) 0;overflow:hidden;border-top:1px solid var(--bs-dropdown-divider-bg);opacity:1}.dropdown-item{display:block;width:100%;padding:var(--bs-dropdown-item-padding-y) 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var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #343A46;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: rgba(255,255,255,0.15);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #007bc2;--bs-dropdown-link-disabled-color: #8D959E;--bs-dropdown-header-color: #8D959E}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:1.5em;padding-left:1.5em}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * 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var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * 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1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-nav-link-padding-x: .5rem;--bs-navbar-toggler-padding-y: .25rem;--bs-navbar-toggler-padding-x: .75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2829,31,33,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: .25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-navbar-padding-y) 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992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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!important;transform:none !important;transition:none}.navbar-expand-xl .offcanvas .offcanvas-header{display:none}.navbar-expand-xl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 1400px){.navbar-expand-xxl{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-xxl .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-xxl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xxl .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xxl .navbar-nav-scroll{overflow:visible}.navbar-expand-xxl .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-xxl .navbar-toggler{display:none}.navbar-expand-xxl .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme="dark"]{--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.55);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.75);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.25);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.1);--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme="dark"] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: .5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: var(--bs-border-width);--bs-card-border-color: var(--bs-border-color-translucent);--bs-card-border-radius: 8px;--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(8px - (var(--bs-border-width)));--bs-card-cap-padding-y: .5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: var(--bs-body-bg);--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: .75rem;position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-.5 * 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wrap;-webkit-flex-flow:row wrap}.card-group>.card{flex:1 0 0%;-webkit-flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: var(--bs-body-color);--bs-accordion-bg: var(--bs-body-bg);--bs-accordion-transition: color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out,border-radius 0.15s ease;--bs-accordion-border-color: var(--bs-border-color);--bs-accordion-border-width: var(--bs-border-width);--bs-accordion-border-radius: var(--bs-border-radius);--bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: var(--bs-body-color);--bs-accordion-btn-bg: var(--bs-accordion-bg);--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%231D1F21'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%2300314e'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #80bde1;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(0,123,194,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: ;--bs-accordion-active-bg: }.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media (prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1 * var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media (prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%2366b0da'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%2366b0da'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: .5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(0,123,194,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #007bc2;--bs-pagination-active-border-color: #007bc2;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #007bc2;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #007bc2;--bs-list-group-active-border-color: #007bc2;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: .5;--bs-btn-close-hover-opacity: .75;--bs-btn-close-focus-shadow: 0 0 0 .25rem rgba(0,123,194,0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: .25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:transparent var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:3px;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme="dark"] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: .75rem;--bs-toast-padding-y: .5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-border-width: var(--bs-border-width);--bs-toast-border-color: var(--bs-border-color-translucent);--bs-toast-border-radius: var(--bs-border-radius);--bs-toast-box-shadow: var(--bs-box-shadow);--bs-toast-header-color: var(--bs-secondary-color);--bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-header-border-color: var(--bs-border-color-translucent);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-.5 * 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#fff;--bs-btn-disabled-bg: #00891a;--bs-btn-disabled-border-color: #00891a}.btn-info{--bs-btn-color: #000;--bs-btn-bg: #03c7e8;--bs-btn-border-color: #03c7e8;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #29cfeb;--bs-btn-hover-border-color: #1ccdea;--bs-btn-focus-shadow-rgb: 3,169,197;--bs-btn-active-color: #000;--bs-btn-active-bg: #35d2ed;--bs-btn-active-border-color: #1ccdea;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #03c7e8;--bs-btn-disabled-border-color: #03c7e8}.btn-warning{--bs-btn-color: #000;--bs-btn-bg: #f9b928;--bs-btn-border-color: #f9b928;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #fac448;--bs-btn-hover-border-color: #fac03e;--bs-btn-focus-shadow-rgb: 212,157,34;--bs-btn-active-color: #000;--bs-btn-active-bg: #fac753;--bs-btn-active-border-color: #fac03e;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #f9b928;--bs-btn-disabled-border-color: 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#202020;--bs-btn-border-color: #202020;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #414141;--bs-btn-hover-border-color: #363636;--bs-btn-focus-shadow-rgb: 65,65,65;--bs-btn-active-color: #fff;--bs-btn-active-bg: #4d4d4d;--bs-btn-active-border-color: #363636;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #202020;--bs-btn-disabled-border-color: #202020}.btn-outline-default{--bs-btn-color: #dee2e6;--bs-btn-border-color: #dee2e6;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #dee2e6;--bs-btn-hover-border-color: #dee2e6;--bs-btn-focus-shadow-rgb: 222,226,230;--bs-btn-active-color: #000;--bs-btn-active-bg: #dee2e6;--bs-btn-active-border-color: #dee2e6;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #dee2e6;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #dee2e6;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-primary{--bs-btn-color: #007bc2;--bs-btn-border-color: #007bc2;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #007bc2;--bs-btn-hover-border-color: #007bc2;--bs-btn-focus-shadow-rgb: 0,123,194;--bs-btn-active-color: #fff;--bs-btn-active-bg: #007bc2;--bs-btn-active-border-color: #007bc2;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #007bc2;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #007bc2;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-secondary{--bs-btn-color: #404040;--bs-btn-border-color: #404040;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #404040;--bs-btn-hover-border-color: #404040;--bs-btn-focus-shadow-rgb: 64,64,64;--bs-btn-active-color: #fff;--bs-btn-active-bg: #404040;--bs-btn-active-border-color: #404040;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #404040;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #404040;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-success{--bs-btn-color: #00891a;--bs-btn-border-color: #00891a;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #00891a;--bs-btn-hover-border-color: #00891a;--bs-btn-focus-shadow-rgb: 0,137,26;--bs-btn-active-color: #fff;--bs-btn-active-bg: #00891a;--bs-btn-active-border-color: #00891a;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #00891a;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #00891a;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-info{--bs-btn-color: #03c7e8;--bs-btn-border-color: #03c7e8;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #03c7e8;--bs-btn-hover-border-color: #03c7e8;--bs-btn-focus-shadow-rgb: 3,199,232;--bs-btn-active-color: #000;--bs-btn-active-bg: #03c7e8;--bs-btn-active-border-color: #03c7e8;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #03c7e8;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #03c7e8;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-warning{--bs-btn-color: #f9b928;--bs-btn-border-color: #f9b928;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #f9b928;--bs-btn-hover-border-color: #f9b928;--bs-btn-focus-shadow-rgb: 249,185,40;--bs-btn-active-color: #000;--bs-btn-active-bg: #f9b928;--bs-btn-active-border-color: #f9b928;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #f9b928;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #f9b928;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-danger{--bs-btn-color: #c10000;--bs-btn-border-color: #c10000;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #c10000;--bs-btn-hover-border-color: #c10000;--bs-btn-focus-shadow-rgb: 193,0,0;--bs-btn-active-color: #fff;--bs-btn-active-bg: #c10000;--bs-btn-active-border-color: #c10000;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #c10000;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #c10000;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-light{--bs-btn-color: #f8f8f8;--bs-btn-border-color: #f8f8f8;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #f8f8f8;--bs-btn-hover-border-color: #f8f8f8;--bs-btn-focus-shadow-rgb: 248,248,248;--bs-btn-active-color: #000;--bs-btn-active-bg: #f8f8f8;--bs-btn-active-border-color: #f8f8f8;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #f8f8f8;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #f8f8f8;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-dark{--bs-btn-color: #202020;--bs-btn-border-color: #202020;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #202020;--bs-btn-hover-border-color: #202020;--bs-btn-focus-shadow-rgb: 32,32,32;--bs-btn-active-color: #fff;--bs-btn-active-bg: #202020;--bs-btn-active-border-color: #202020;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #202020;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #202020;--bs-btn-bg: transparent;--bs-gradient: none}.btn-link{--bs-btn-font-weight: 400;--bs-btn-color: var(--bs-link-color);--bs-btn-bg: transparent;--bs-btn-border-color: transparent;--bs-btn-hover-color: var(--bs-link-hover-color);--bs-btn-hover-border-color: transparent;--bs-btn-active-color: var(--bs-link-hover-color);--bs-btn-active-border-color: transparent;--bs-btn-disabled-color: #707782;--bs-btn-disabled-border-color: transparent;--bs-btn-box-shadow: 0 0 0 #000;--bs-btn-focus-shadow-rgb: 38,143,203;text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}.btn-link:focus-visible{color:var(--bs-btn-color)}.btn-link:hover{color:var(--bs-btn-hover-color)}.btn-lg,.btn-group-lg>.btn{--bs-btn-padding-y: .5rem;--bs-btn-padding-x: 1rem;--bs-btn-font-size:1.25rem;--bs-btn-border-radius: var(--bs-border-radius-lg)}.btn-sm,.btn-group-sm>.btn{--bs-btn-padding-y: .25rem;--bs-btn-padding-x: .5rem;--bs-btn-font-size:.875rem;--bs-btn-border-radius: var(--bs-border-radius-sm)}.fade{transition:opacity 0.15s linear}@media (prefers-reduced-motion: reduce){.fade{transition:none}}.fade:not(.show){opacity:0}.collapse:not(.show){display:none}.collapsing{height:0;overflow:hidden;transition:height 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing{transition:none}}.collapsing.collapse-horizontal{width:0;height:auto;transition:width 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing.collapse-horizontal{transition:none}}.dropup,.dropend,.dropdown,.dropstart,.dropup-center,.dropdown-center{position:relative}.dropdown-toggle{white-space:nowrap}.dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid;border-right:.3em solid transparent;border-bottom:0;border-left:.3em solid transparent}.dropdown-toggle:empty::after{margin-left:0}.dropdown-menu{--bs-dropdown-zindex: 1000;--bs-dropdown-min-width: 10rem;--bs-dropdown-padding-x: 0;--bs-dropdown-padding-y: .5rem;--bs-dropdown-spacer: .125rem;--bs-dropdown-font-size:1rem;--bs-dropdown-color: var(--bs-body-color);--bs-dropdown-bg: var(--bs-body-bg);--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-border-radius: var(--bs-border-radius);--bs-dropdown-border-width: var(--bs-border-width);--bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-divider-margin-y: .5rem;--bs-dropdown-box-shadow: 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 7px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 12px 30px RGBA(var(--bslib-box-shadow-color-rgb), 0.08);--bs-dropdown-link-color: var(--bs-body-color);--bs-dropdown-link-hover-color: var(--bs-body-color);--bs-dropdown-link-hover-bg: var(--bs-tertiary-bg);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #007bc2;--bs-dropdown-link-disabled-color: var(--bs-tertiary-color);--bs-dropdown-item-padding-x: 1rem;--bs-dropdown-item-padding-y: .25rem;--bs-dropdown-header-color: #707782;--bs-dropdown-header-padding-x: 1rem;--bs-dropdown-header-padding-y: .5rem;position:absolute;z-index:var(--bs-dropdown-zindex);display:none;min-width:var(--bs-dropdown-min-width);padding:var(--bs-dropdown-padding-y) var(--bs-dropdown-padding-x);margin:0;font-size:var(--bs-dropdown-font-size);color:var(--bs-dropdown-color);text-align:left;list-style:none;background-color:var(--bs-dropdown-bg);background-clip:padding-box;border:var(--bs-dropdown-border-width) solid var(--bs-dropdown-border-color);border-radius:var(--bs-dropdown-border-radius)}.dropdown-menu[data-bs-popper]{top:100%;left:0;margin-top:var(--bs-dropdown-spacer)}.dropdown-menu-start{--bs-position: start}.dropdown-menu-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-end{--bs-position: 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1400px){.dropdown-menu-xxl-start{--bs-position: start}.dropdown-menu-xxl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xxl-end{--bs-position: end}.dropdown-menu-xxl-end[data-bs-popper]{right:0;left:auto}}.dropup .dropdown-menu[data-bs-popper]{top:auto;bottom:100%;margin-top:0;margin-bottom:var(--bs-dropdown-spacer)}.dropup .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:0;border-right:.3em solid transparent;border-bottom:.3em solid;border-left:.3em solid transparent}.dropup .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-menu[data-bs-popper]{top:0;right:auto;left:100%;margin-top:0;margin-left:var(--bs-dropdown-spacer)}.dropend .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:0;border-bottom:.3em solid transparent;border-left:.3em solid}.dropend .dropdown-toggle:empty::after{margin-left:0}.dropend 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var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #343A46;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: rgba(255,255,255,0.15);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #007bc2;--bs-dropdown-link-disabled-color: #8D959E;--bs-dropdown-header-color: #8D959E}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:1.5em;padding-left:1.5em}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * -1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) 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url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%2300314e'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #80bde1;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(0,123,194,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: ;--bs-accordion-active-bg: }.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media (prefers-reduced-motion: 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reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%2366b0da'%3e%3cpath 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var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(0,123,194,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #007bc2;--bs-pagination-active-border-color: #007bc2;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #007bc2;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #007bc2;--bs-list-group-active-border-color: #007bc2;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 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var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' 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var(--bs-card-border-color)}.popover{--bs-popover-shadow: 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 7px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 12px 30px RGBA(var(--bslib-box-shadow-color-rgb), 0.08);box-shadow:var(--bs-popover-shadow)}:root{--bslib-dashboard-sidebar-bg: var(--bs-body-bg);--bslib-dashboard-sidebar-main-bg: var(--bs-body-bg);--bslib-dashboard-main-bg: rgb(247, 247, 247);--bs-card-border-color: var(--bslib-dashboard-border-color-translucent, var(--bs-border-color-translucent));--bslib-dashboard-card-cap-bg: var(--bs-body-bg);--bslib-dashboard-card-header-font-weight: 600;--bslib-sidebar-bg: var(--bs-body-bg);--bslib-sidebar-fg: var(--bs-color)}[data-bs-theme="dark"]{--bslib-dashboard-main-bg: rgb(20, 20, 24)}.bslib-card{--bs-card-cap-bg: var(--bslib-dashboard-card-cap-bg)}.bslib-card .card-header,.bslib-card .card-footer{font-size:0.9rem}.bslib-card .card-header{font-weight:var(--bslib-dashboard-card-header-font-weight);line-height:1.375rem}.bslib-page-dashboard,.main:has(.tab-content>.bslib-page-dashboard.active){background-color:var(--bslib-dashboard-main-bg);--_main-bg: var(--bslib-dashboard-main-bg)}.bslib-page-navbar>.navbar,.bslib-page-dashboard>.navbar{--bslib-navbar-default-bg: var(--bs-body-bg);--bslib-navbar-inverse-bg: var(--bs-body-color)}.bslib-page-navbar>.navbar+div,.bslib-page-dashboard>.navbar+div{border-top:var(--bs-border-width) solid var(--bs-border-color-translucent)}.bslib-page-navbar>.navbar+div>.bslib-sidebar-layout,.bslib-page-navbar>.navbar+div>.tab-content>.tab-pane.active.html-fill-container>.bslib-sidebar-layout.html-fill-item,.bslib-page-dashboard>.navbar+div>.bslib-sidebar-layout,.bslib-page-dashboard>.navbar+div>.tab-content>.tab-pane.active.html-fill-container>.bslib-sidebar-layout.html-fill-item{border-top:none !important}.bslib-page-sidebar{--bslib-page-sidebar-title-bg: var(--bs-body-bg);--bslib-page-sidebar-title-color: var(--bs-body-color)}.bslib-page-sidebar .bslib-page-title{border-color:var(--bs-border-color-translucent)}.nav-underline{--bs-link-color: rgba(var(--bs-body-color-rgb), 0.65);--bs-link-hover-color: rgba(var(--bs-body-color-rgb), 0.8);--bs-nav-link-font-size: 0.875rem}.nav-underline .nav-link{padding-left:5px !important;padding-right:5px !important}.nav-underline .nav-link.active{font-weight:500}.navbar-collapse.show .nav-underline,.navbar-collapse.collapsing .nav-underline{--bs-nav-underline-border-width: 0;--bs-nav-underline-gap: 0}.navbar .nav-underline .nav-link{padding-bottom:calc(var(--bs-navbar-padding-y, .5rem) * 2);margin-bottom:calc(var(--bs-navbar-padding-y, .5rem) * -1)}.bslib-value-box.default .value-box-showcase>i.bi{background:linear-gradient(140deg, #007bc2 36%, #74149c 180%) #007bc2;-webkit-background-clip:text;-webkit-text-fill-color:transparent}.bslib-value-box.default .value-box-showcase>i.fa{background:linear-gradient(140deg, #007bc2 36%, #74149c 180%) #007bc2;-webkit-background-clip:text;-webkit-text-fill-color:transparent}.bslib-value-box.default .value-box-showcase>i.fas{background:linear-gradient(140deg, #007bc2 36%, #74149c 180%) #007bc2;-webkit-background-clip:text;-webkit-text-fill-color:transparent}.bslib-value-box.default .value-box-showcase>i.far{background:linear-gradient(140deg, #007bc2 36%, #74149c 180%) #007bc2;-webkit-background-clip:text;-webkit-text-fill-color:transparent}.bslib-value-box.default .value-box-showcase>i.fab{background:linear-gradient(140deg, #007bc2 36%, #74149c 180%) #007bc2;-webkit-background-clip:text;-webkit-text-fill-color:transparent}.bslib-value-box.default .value-box-showcase>i.material-icons{background:linear-gradient(140deg, #007bc2 36%, #74149c 180%) #007bc2;-webkit-background-clip:text;-webkit-text-fill-color:transparent}.bslib-value-box.default .value-box-showcase>svg.bi{fill:url("#bslib---icon-gradient") #007bc2 !important}.bslib-value-box.default .value-box-showcase>svg.fa{fill:url("#bslib---icon-gradient") #007bc2 !important}.bslib-value-box.default .value-box-showcase>svg.fas{fill:url("#bslib---icon-gradient") #007bc2 !important}.bslib-value-box.default .value-box-showcase>svg.far{fill:url("#bslib---icon-gradient") #007bc2 !important}.bslib-value-box.default .value-box-showcase>svg.fab{fill:url("#bslib---icon-gradient") #007bc2 !important}.bslib-value-box.default .value-box-showcase>svg.material-icons{fill:url("#bslib---icon-gradient") #007bc2 !important}.bslib-value-box.text-info{color:#028097 !important}.bslib-value-box.text-info,.bslib-value-box.text-info.text-cyan{--bslib-color-fg: $cyan !important}.bslib-value-box.text-light{--bslib-color-fg: $gray-600 !important}.bslib-value-box.text-warning{color:#A87600 !important}.bslib-value-box.text-warning,.bslib-value-box.text-warning.text-yellow{--bslib-color-fg: $warning !important}.bslib-value-box.text-teal.text-teal{--bslib-color-fg: #008558}.modal-body,.modal-footer{padding:1.5rem}.modal-header .btn-close{align-self:start;display:flex}#shiny-modal-wrapper:has(~.modal-backdrop) .modal{backdrop-filter:blur(2px)}#shiny-notification-panel#shiny-notification-panel{position:fixed;bottom:calc(var(--bslib-spacer, 1rem) / 2);right:calc(var(--bslib-spacer, 1rem) / 2);width:450px;z-index:1090}.progress-message{margin-right:.6rem}.shiny-notification.shiny-notification{position:relative;opacity:0.96;padding:2rem;margin:var(--bslib-spacer, 1rem);border:1px solid var(--bs-border-color-translucent);border-radius:8px;box-shadow:0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 7px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 12px 30px RGBA(var(--bslib-box-shadow-color-rgb), 0.08)}.shiny-notification.shiny-notification .shiny-notification-close{position:absolute;font-size:1.5em;width:2rem;height:2rem;top:0;right:0;bottom:unset;display:flex;align-items:center;justify-content:center;padding:0.25rem;cursor:pointer;font-weight:200;color:currentColor}.shiny-notification.shiny-notification .shiny-notification-close:hover{font-weight:normal}.shiny-notification.shiny-notification .shiny-notification-content-text :last-child{margin-bottom:0}.row>main{max-width:50rem}@media (min-width: 1200px) and (max-width: 1399.98px){.container .row{justify-content:space-evenly}}@media (min-width: 1400px){body{font-size:18px}.col-md-3{margin-left:5rem}}.navbar-nav .nav-item>.nav-link{border-radius:3px;padding:0.5rem}.navbar>.container{align-items:baseline;-webkit-align-items:baseline}.navbar-light .navbar-nav .active>.nav-link{background:#e9ecef;color:#1D1F21}.navbar-dark .navbar-nav .active>.nav-link{background:#343A46;color:#fff}.navbar-dark .navbar-nav .nav-item>.nav-link:hover,.navbar-light .navbar-nav .nav-item>.nav-link:hover{background:rgba(0,123,194,0.1)}.navbar-dark input[type="search"]{border-color:#707782;background-color:#1D1F21;color:#e9ecef}input[type="search"]{border-color:#dee2e6;width:12rem}.headroom{will-change:transform;transition:transform 400ms ease}.headroom--pinned{transform:translateY(0%)}.headroom--unpinned{transform:translateY(-100%)}.row>main,.row>aside{margin-top:56px}html,body{scroll-padding:56px}@media (min-width: 576px){#toc{position:sticky;top:56px;max-height:calc(100vh - 56px - 1rem);overflow-y:auto}}aside h2,aside .h2{margin-top:1.5rem;font-size:1.25rem}aside .roles{color:#4a4c4d}aside .list-unstyled li{margin-bottom:0.5rem}aside .dev-status .list-unstyled li{margin-bottom:0.1rem}@media (max-width: 575.98px){aside{margin:0.5rem;width:calc(100vw - 1rem);background-color:#f8f8f8;border-color:#dee2e6;border-radius:3px}aside h2:first-child,aside .h2:first-child{margin-top:1rem}}body{position:relative}#toc>.nav{margin-bottom:1rem}#toc>.nav a.nav-link{color:inherit;padding:0.25rem 0.5rem;margin-bottom:2px;border-radius:3px;border:0 solid #dee2e6}#toc>.nav a.nav-link:hover,#toc>.nav a.nav-link:focus{background-color:rgba(0,123,194,0.1);color:#000}#toc>.nav a.nav-link.active{background-color:#e8e9e9;color:#000}#toc>.nav .nav a.nav-link{margin-left:0.5rem}#toc>.nav .nav{display:none !important}#toc>.nav a.active+.nav{display:flex !important}footer{margin:1rem 0 1rem 0;font-size:.875em;border-top:1px solid #dee2e6;background:rgba(0,0,0,0);color:#4a4c4d;display:flex;column-gap:1rem}@media (max-width: 575.98px){footer{flex-direction:column}}@media (min-width: 576px){footer .pkgdown-footer-right{text-align:right}}footer div{flex:1 1 auto}html,body{height:100%}body>.container{min-height:100%;display:flex;flex-direction:column}body>.container .row{flex:1 0 auto}::selection{background-color:#cce5f3}main img{max-width:100%;height:auto}main table{display:block;overflow:auto}body{font-display:fallback}.page-header{border-bottom:1px solid #dee2e6;padding-bottom:0.5rem;margin-bottom:0.5rem;margin-top:1.5rem}dd{margin-left:1.5rem}summary{margin-bottom:0.5rem}details{margin-bottom:1rem}.html-widget{margin-bottom:1rem}a.anchor{display:none;margin-left:5px;width:Min(0.9em, 20px);height:Min(0.9em, 20px);background-image:url(../../link.svg);background-repeat:no-repeat;background-size:Min(0.9em, 20px) Min(0.9em, 20px);background-position:center center}h2:hover .anchor,.h2:hover .anchor,h3:hover .anchor,.h3:hover .anchor,h4:hover .anchor,.h4:hover .anchor,h5:hover .anchor,.h5:hover .anchor,h6:hover .anchor,.h6:hover .anchor{display:inline-block}.orcid{color:#A6CE39;margin-right:4px}.fab{font-family:"Font Awesome 5 Brands" !important}img.logo{float:right;width:100px;margin-left:30px}.template-home img.logo{width:120px}@media (max-width: 575.98px){img.logo{width:80px}}@media (min-width: 576px){.page-header{min-height:88px}.template-home .page-header{min-height:104px}}.line-block{margin-bottom:1rem}.template-reference-index dt{font-weight:normal}.template-reference-index code{word-wrap:normal}.icon{float:right}.icon img{width:40px}a.footnote-ref{cursor:pointer}.popover{width:Min(100vw, 32rem);font-size:0.9rem;box-shadow:4px 4px 8px rgba(0,0,0,0.3)}.popover-body{padding:0.75rem}.popover-body p:last-child{margin-bottom:0}.tab-content{padding:1rem}.tabset-pills .tab-content{border:solid 1px #e5e5e5}.tab-content{display:flex}.tab-content>.tab-pane{display:block;visibility:hidden;margin-right:-100%;width:100%}.tab-content>.active{visibility:visible}div.csl-entry{clear:both}.hanging-indent div.csl-entry{margin-left:2em;text-indent:-2em}div.csl-left-margin{min-width:2em;float:left}div.csl-right-inline{margin-left:2em;padding-left:1em}div.csl-indent{margin-left:2em}pre,pre code{word-wrap:normal}code{overflow-wrap:break-word}.hasCopyButton{position:relative}.btn-copy-ex{position:absolute;right:5px;top:5px;visibility:hidden}.hasCopyButton:hover button.btn-copy-ex{visibility:visible}pre{padding:1rem 0.5rem}@media (max-width: 575.98px){div>div>pre{margin-left:calc(var(--bs-gutter-x) * -.5);margin-right:calc(var(--bs-gutter-x) * -.5);border-radius:0;padding-left:1rem;padding-right:1rem}.btn-copy-ex{right:calc(var(--bs-gutter-x) * -.5 + 5px)}}code a:any-link{color:inherit;text-decoration-color:#707782}pre code{padding:0;background:transparent}pre code .error,pre code .warning{font-weight:bolder}pre .img img,pre .r-plt img{margin:5px 0;background-color:#fff}@media print{code a:link:after,code a:visited:after{content:""}}a.sourceLine:hover{text-decoration:none}mark,.mark{background:linear-gradient(-100deg, rgba(3,199,232,0.2), rgba(3,199,232,0.7) 95%, rgba(3,199,232,0.1))}.algolia-autocomplete .aa-hint{color:#1D1F21}.algolia-autocomplete .aa-dropdown-menu{width:Max(100%, 20rem);background-color:#fff;border:1px solid var(--bs-border-color);margin-top:2px;max-height:50vh;overflow-y:auto}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion{cursor:pointer;padding:5px 4px;border-bottom:1px #e9ecef solid;font-size:0.9rem;color:#1D1F21}.search-details{font-size:0.9rem;color:#007bc2;display:inline;font-weight:bolder}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion.aa-cursor{background-color:#e6f2f9}pre{background-color:#f1f3f5}pre code{color:#003B4F}pre code span.al{color:#AD0000}pre code span.an{color:#5E5E5E}pre code span.at{color:#657422}pre code span.bn{color:#AD0000}pre code span.cf{color:#003B4F}pre code span.ch{color:#20794D}pre code span.cn{color:#8f5902}pre code span.co{color:#5E5E5E}pre code span.cv{color:#5E5E5E;font-style:italic}pre code span.do{color:#5E5E5E;font-style:italic}pre code span.dt{color:#AD0000}pre code span.dv{color:#AD0000}pre code span.er{color:#AD0000}pre code span.fl{color:#AD0000}pre code span.fu{color:#4758AB}pre code span.im{color:#00769E}pre code span.in{color:#5E5E5E}pre code span.kw{color:#003B4F}pre code span.op{color:#5E5E5E}pre code span.ot{color:#003B4F}pre code span.pp{color:#AD0000}pre code span.sc{color:#5E5E5E}pre code span.ss{color:#20794D}pre code span.st{color:#20794D}pre code span.va{color:#111111}pre code span.vs{color:#20794D}pre code span.wa{color:#5E5E5E;font-style:italic}
diff --git a/deps/bootstrap-5.3.1/font.css b/deps/bootstrap-5.3.1/font.css
index b74f3e1..fa85d55 100644
--- a/deps/bootstrap-5.3.1/font.css
+++ b/deps/bootstrap-5.3.1/font.css
@@ -1,124 +1,1452 @@
+/* cyrillic-ext */
 @font-face {
   font-family: 'Open Sans';
   font-style: italic;
   font-weight: 300;
-  font-stretch: normal;
+  font-stretch: 100%;
   font-display: swap;
-  src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk5hkaVQ.woff) format('woff');
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtE6F15M.woff2) format('woff2');
+  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
 }
+/* cyrillic */
 @font-face {
   font-family: 'Open Sans';
   font-style: italic;
+  font-weight: 300;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWvU6F15M.woff2) format('woff2');
+  unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
+}
+/* greek-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 300;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtU6F15M.woff2) format('woff2');
+  unicode-range: U+1F00-1FFF;
+}
+/* greek */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 300;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuk6F15M.woff2) format('woff2');
+  unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF;
+}
+/* hebrew */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 300;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWu06F15M.woff2) format('woff2');
+  unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F;
+}
+/* math */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 300;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWxU6F15M.woff2) format('woff2');
+  unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0330, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2034-2037, U+2057, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2102, U+210A-210E, U+2110-2112, U+2115, U+2119-211D, U+2124, U+2128, U+212C-212D, U+212F-2131, U+2133-2138, U+213C-2140, U+2145-2149, U+2190, U+2192, U+2194-21AE, U+21B0-21E5, U+21F1-21F2, U+21F4-2211, U+2213-2214, U+2216-22FF, U+2308-230B, U+2310, U+2319, U+231C-2321, U+2336-237A, U+237C, U+2395, U+239B-23B6, U+23D0, U+23DC-23E1, U+2474-2475, U+25AF, U+25B3, U+25B7, U+25BD, U+25C1, U+25CA, U+25CC, U+25FB, U+266D-266F, U+27C0-27FF, U+2900-2AFF, U+2B0E-2B11, U+2B30-2B4C, U+2BFE, U+FF5B, U+FF5D, U+1D400-1D7FF, U+1EE00-1EEFF;
+}
+/* symbols */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 300;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqW106F15M.woff2) format('woff2');
+  unicode-range: U+0001-000C, U+000E-001F, U+007F-009F, U+20DD-20E0, U+20E2-20E4, U+2150-218F, U+2190, U+2192, U+2194-2199, U+21AF, U+21E6-21F0, U+21F3, U+2218-2219, U+2299, U+22C4-22C6, U+2300-243F, U+2440-244A, U+2460-24FF, U+25A0-27BF, U+2800-28FF, U+2921-2922, U+2981, U+29BF, U+29EB, U+2B00-2BFF, U+4DC0-4DFF, U+FFF9-FFFB, U+10140-1018E, U+10190-1019C, U+101A0, U+101D0-101FD, U+102E0-102FB, U+10E60-10E7E, U+1D2C0-1D2D3, U+1D2E0-1D37F, U+1F000-1F0FF, U+1F100-1F1AD, U+1F1E6-1F1FF, U+1F30D-1F30F, U+1F315, U+1F31C, U+1F31E, U+1F320-1F32C, U+1F336, U+1F378, U+1F37D, U+1F382, U+1F393-1F39F, U+1F3A7-1F3A8, U+1F3AC-1F3AF, U+1F3C2, U+1F3C4-1F3C6, U+1F3CA-1F3CE, U+1F3D4-1F3E0, U+1F3ED, U+1F3F1-1F3F3, U+1F3F5-1F3F7, U+1F408, U+1F415, U+1F41F, U+1F426, U+1F43F, U+1F441-1F442, U+1F444, U+1F446-1F449, U+1F44C-1F44E, U+1F453, U+1F46A, U+1F47D, U+1F4A3, U+1F4B0, U+1F4B3, U+1F4B9, U+1F4BB, U+1F4BF, U+1F4C8-1F4CB, U+1F4D6, U+1F4DA, U+1F4DF, U+1F4E3-1F4E6, U+1F4EA-1F4ED, U+1F4F7, U+1F4F9-1F4FB, U+1F4FD-1F4FE, U+1F503, U+1F507-1F50B, U+1F50D, U+1F512-1F513, U+1F53E-1F54A, U+1F54F-1F5FA, U+1F610, U+1F650-1F67F, U+1F687, U+1F68D, U+1F691, U+1F694, U+1F698, U+1F6AD, U+1F6B2, U+1F6B9-1F6BA, U+1F6BC, U+1F6C6-1F6CF, U+1F6D3-1F6D7, U+1F6E0-1F6EA, U+1F6F0-1F6F3, U+1F6F7-1F6FC, U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8B1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA88, U+1FA90-1FABD, U+1FABF-1FAC5, U+1FACE-1FADB, U+1FAE0-1FAE8, U+1FAF0-1FAF8, U+1FB00-1FBFF;
+}
+/* vietnamese */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 300;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtk6F15M.woff2) format('woff2');
+  unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB;
+}
+/* latin-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 300;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWt06F15M.woff2) format('woff2');
+  unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+/* latin */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 300;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuU6F.woff2) format('woff2');
+  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+/* cyrillic-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 400;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtE6F15M.woff2) format('woff2');
+  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
+}
+/* cyrillic */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 400;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWvU6F15M.woff2) format('woff2');
+  unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
+}
+/* greek-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 400;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtU6F15M.woff2) format('woff2');
+  unicode-range: U+1F00-1FFF;
+}
+/* greek */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 400;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuk6F15M.woff2) format('woff2');
+  unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF;
+}
+/* hebrew */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 400;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWu06F15M.woff2) format('woff2');
+  unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F;
+}
+/* math */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 400;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWxU6F15M.woff2) format('woff2');
+  unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0330, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2034-2037, U+2057, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2102, U+210A-210E, U+2110-2112, U+2115, U+2119-211D, U+2124, U+2128, U+212C-212D, U+212F-2131, U+2133-2138, U+213C-2140, U+2145-2149, U+2190, U+2192, U+2194-21AE, U+21B0-21E5, U+21F1-21F2, U+21F4-2211, U+2213-2214, U+2216-22FF, U+2308-230B, U+2310, U+2319, U+231C-2321, U+2336-237A, U+237C, U+2395, U+239B-23B6, U+23D0, U+23DC-23E1, U+2474-2475, U+25AF, U+25B3, U+25B7, U+25BD, U+25C1, U+25CA, U+25CC, U+25FB, U+266D-266F, U+27C0-27FF, U+2900-2AFF, U+2B0E-2B11, U+2B30-2B4C, U+2BFE, U+FF5B, U+FF5D, U+1D400-1D7FF, U+1EE00-1EEFF;
+}
+/* symbols */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 400;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqW106F15M.woff2) format('woff2');
+  unicode-range: U+0001-000C, U+000E-001F, U+007F-009F, U+20DD-20E0, U+20E2-20E4, U+2150-218F, U+2190, U+2192, U+2194-2199, U+21AF, U+21E6-21F0, U+21F3, U+2218-2219, U+2299, U+22C4-22C6, U+2300-243F, U+2440-244A, U+2460-24FF, U+25A0-27BF, U+2800-28FF, U+2921-2922, U+2981, U+29BF, U+29EB, U+2B00-2BFF, U+4DC0-4DFF, U+FFF9-FFFB, U+10140-1018E, U+10190-1019C, U+101A0, U+101D0-101FD, U+102E0-102FB, U+10E60-10E7E, U+1D2C0-1D2D3, U+1D2E0-1D37F, U+1F000-1F0FF, U+1F100-1F1AD, U+1F1E6-1F1FF, U+1F30D-1F30F, U+1F315, U+1F31C, U+1F31E, U+1F320-1F32C, U+1F336, U+1F378, U+1F37D, U+1F382, U+1F393-1F39F, U+1F3A7-1F3A8, U+1F3AC-1F3AF, U+1F3C2, U+1F3C4-1F3C6, U+1F3CA-1F3CE, U+1F3D4-1F3E0, U+1F3ED, U+1F3F1-1F3F3, U+1F3F5-1F3F7, U+1F408, U+1F415, U+1F41F, U+1F426, U+1F43F, U+1F441-1F442, U+1F444, U+1F446-1F449, U+1F44C-1F44E, U+1F453, U+1F46A, U+1F47D, U+1F4A3, U+1F4B0, U+1F4B3, U+1F4B9, U+1F4BB, U+1F4BF, U+1F4C8-1F4CB, U+1F4D6, U+1F4DA, U+1F4DF, U+1F4E3-1F4E6, U+1F4EA-1F4ED, U+1F4F7, U+1F4F9-1F4FB, U+1F4FD-1F4FE, U+1F503, U+1F507-1F50B, U+1F50D, U+1F512-1F513, U+1F53E-1F54A, U+1F54F-1F5FA, U+1F610, U+1F650-1F67F, U+1F687, U+1F68D, U+1F691, U+1F694, U+1F698, U+1F6AD, U+1F6B2, U+1F6B9-1F6BA, U+1F6BC, U+1F6C6-1F6CF, U+1F6D3-1F6D7, U+1F6E0-1F6EA, U+1F6F0-1F6F3, U+1F6F7-1F6FC, U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8B1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA88, U+1FA90-1FABD, U+1FABF-1FAC5, U+1FACE-1FADB, U+1FAE0-1FAE8, U+1FAF0-1FAF8, U+1FB00-1FBFF;
+}
+/* vietnamese */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 400;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtk6F15M.woff2) format('woff2');
+  unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB;
+}
+/* latin-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 400;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWt06F15M.woff2) format('woff2');
+  unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+/* latin */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 400;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuU6F.woff2) format('woff2');
+  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+/* cyrillic-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtE6F15M.woff2) format('woff2');
+  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
+}
+/* cyrillic */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWvU6F15M.woff2) format('woff2');
+  unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
+}
+/* greek-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtU6F15M.woff2) format('woff2');
+  unicode-range: U+1F00-1FFF;
+}
+/* greek */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuk6F15M.woff2) format('woff2');
+  unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF;
+}
+/* hebrew */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWu06F15M.woff2) format('woff2');
+  unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F;
+}
+/* math */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWxU6F15M.woff2) format('woff2');
+  unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0330, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2034-2037, U+2057, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2102, U+210A-210E, U+2110-2112, U+2115, U+2119-211D, U+2124, U+2128, U+212C-212D, U+212F-2131, U+2133-2138, U+213C-2140, U+2145-2149, U+2190, U+2192, U+2194-21AE, U+21B0-21E5, U+21F1-21F2, U+21F4-2211, U+2213-2214, U+2216-22FF, U+2308-230B, U+2310, U+2319, U+231C-2321, U+2336-237A, U+237C, U+2395, U+239B-23B6, U+23D0, U+23DC-23E1, U+2474-2475, U+25AF, U+25B3, U+25B7, U+25BD, U+25C1, U+25CA, U+25CC, U+25FB, U+266D-266F, U+27C0-27FF, U+2900-2AFF, U+2B0E-2B11, U+2B30-2B4C, U+2BFE, U+FF5B, U+FF5D, U+1D400-1D7FF, U+1EE00-1EEFF;
+}
+/* symbols */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqW106F15M.woff2) format('woff2');
+  unicode-range: U+0001-000C, U+000E-001F, U+007F-009F, U+20DD-20E0, U+20E2-20E4, U+2150-218F, U+2190, U+2192, U+2194-2199, U+21AF, U+21E6-21F0, U+21F3, U+2218-2219, U+2299, U+22C4-22C6, U+2300-243F, U+2440-244A, U+2460-24FF, U+25A0-27BF, U+2800-28FF, U+2921-2922, U+2981, U+29BF, U+29EB, U+2B00-2BFF, U+4DC0-4DFF, U+FFF9-FFFB, U+10140-1018E, U+10190-1019C, U+101A0, U+101D0-101FD, U+102E0-102FB, U+10E60-10E7E, U+1D2C0-1D2D3, U+1D2E0-1D37F, U+1F000-1F0FF, U+1F100-1F1AD, U+1F1E6-1F1FF, U+1F30D-1F30F, U+1F315, U+1F31C, U+1F31E, U+1F320-1F32C, U+1F336, U+1F378, U+1F37D, U+1F382, U+1F393-1F39F, U+1F3A7-1F3A8, U+1F3AC-1F3AF, U+1F3C2, U+1F3C4-1F3C6, U+1F3CA-1F3CE, U+1F3D4-1F3E0, U+1F3ED, U+1F3F1-1F3F3, U+1F3F5-1F3F7, U+1F408, U+1F415, U+1F41F, U+1F426, U+1F43F, U+1F441-1F442, U+1F444, U+1F446-1F449, U+1F44C-1F44E, U+1F453, U+1F46A, U+1F47D, U+1F4A3, U+1F4B0, U+1F4B3, U+1F4B9, U+1F4BB, U+1F4BF, U+1F4C8-1F4CB, U+1F4D6, U+1F4DA, U+1F4DF, U+1F4E3-1F4E6, U+1F4EA-1F4ED, U+1F4F7, U+1F4F9-1F4FB, U+1F4FD-1F4FE, U+1F503, U+1F507-1F50B, U+1F50D, U+1F512-1F513, U+1F53E-1F54A, U+1F54F-1F5FA, U+1F610, U+1F650-1F67F, U+1F687, U+1F68D, U+1F691, U+1F694, U+1F698, U+1F6AD, U+1F6B2, U+1F6B9-1F6BA, U+1F6BC, U+1F6C6-1F6CF, U+1F6D3-1F6D7, U+1F6E0-1F6EA, U+1F6F0-1F6F3, U+1F6F7-1F6FC, U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8B1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA88, U+1FA90-1FABD, U+1FABF-1FAC5, U+1FACE-1FADB, U+1FAE0-1FAE8, U+1FAF0-1FAF8, U+1FB00-1FBFF;
+}
+/* vietnamese */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtk6F15M.woff2) format('woff2');
+  unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB;
+}
+/* latin-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWt06F15M.woff2) format('woff2');
+  unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+/* latin */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuU6F.woff2) format('woff2');
+  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+/* cyrillic-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 600;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtE6F15M.woff2) format('woff2');
+  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
+}
+/* cyrillic */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 600;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWvU6F15M.woff2) format('woff2');
+  unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
+}
+/* greek-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 600;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtU6F15M.woff2) format('woff2');
+  unicode-range: U+1F00-1FFF;
+}
+/* greek */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 600;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuk6F15M.woff2) format('woff2');
+  unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF;
+}
+/* hebrew */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 600;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWu06F15M.woff2) format('woff2');
+  unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F;
+}
+/* math */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 600;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWxU6F15M.woff2) format('woff2');
+  unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0330, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2034-2037, U+2057, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2102, U+210A-210E, U+2110-2112, U+2115, U+2119-211D, U+2124, U+2128, U+212C-212D, U+212F-2131, U+2133-2138, U+213C-2140, U+2145-2149, U+2190, U+2192, U+2194-21AE, U+21B0-21E5, U+21F1-21F2, U+21F4-2211, U+2213-2214, U+2216-22FF, U+2308-230B, U+2310, U+2319, U+231C-2321, U+2336-237A, U+237C, U+2395, U+239B-23B6, U+23D0, U+23DC-23E1, U+2474-2475, U+25AF, U+25B3, U+25B7, U+25BD, U+25C1, U+25CA, U+25CC, U+25FB, U+266D-266F, U+27C0-27FF, U+2900-2AFF, U+2B0E-2B11, U+2B30-2B4C, U+2BFE, U+FF5B, U+FF5D, U+1D400-1D7FF, U+1EE00-1EEFF;
+}
+/* symbols */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 600;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqW106F15M.woff2) format('woff2');
+  unicode-range: U+0001-000C, U+000E-001F, U+007F-009F, U+20DD-20E0, U+20E2-20E4, U+2150-218F, U+2190, U+2192, U+2194-2199, U+21AF, U+21E6-21F0, U+21F3, U+2218-2219, U+2299, U+22C4-22C6, U+2300-243F, U+2440-244A, U+2460-24FF, U+25A0-27BF, U+2800-28FF, U+2921-2922, U+2981, U+29BF, U+29EB, U+2B00-2BFF, U+4DC0-4DFF, U+FFF9-FFFB, U+10140-1018E, U+10190-1019C, U+101A0, U+101D0-101FD, U+102E0-102FB, U+10E60-10E7E, U+1D2C0-1D2D3, U+1D2E0-1D37F, U+1F000-1F0FF, U+1F100-1F1AD, U+1F1E6-1F1FF, U+1F30D-1F30F, U+1F315, U+1F31C, U+1F31E, U+1F320-1F32C, U+1F336, U+1F378, U+1F37D, U+1F382, U+1F393-1F39F, U+1F3A7-1F3A8, U+1F3AC-1F3AF, U+1F3C2, U+1F3C4-1F3C6, U+1F3CA-1F3CE, U+1F3D4-1F3E0, U+1F3ED, U+1F3F1-1F3F3, U+1F3F5-1F3F7, U+1F408, U+1F415, U+1F41F, U+1F426, U+1F43F, U+1F441-1F442, U+1F444, U+1F446-1F449, U+1F44C-1F44E, U+1F453, U+1F46A, U+1F47D, U+1F4A3, U+1F4B0, U+1F4B3, U+1F4B9, U+1F4BB, U+1F4BF, U+1F4C8-1F4CB, U+1F4D6, U+1F4DA, U+1F4DF, U+1F4E3-1F4E6, U+1F4EA-1F4ED, U+1F4F7, U+1F4F9-1F4FB, U+1F4FD-1F4FE, U+1F503, U+1F507-1F50B, U+1F50D, U+1F512-1F513, U+1F53E-1F54A, U+1F54F-1F5FA, U+1F610, U+1F650-1F67F, U+1F687, U+1F68D, U+1F691, U+1F694, U+1F698, U+1F6AD, U+1F6B2, U+1F6B9-1F6BA, U+1F6BC, U+1F6C6-1F6CF, U+1F6D3-1F6D7, U+1F6E0-1F6EA, U+1F6F0-1F6F3, U+1F6F7-1F6FC, U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8B1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA88, U+1FA90-1FABD, U+1FABF-1FAC5, U+1FACE-1FADB, U+1FAE0-1FAE8, U+1FAF0-1FAF8, U+1FB00-1FBFF;
+}
+/* vietnamese */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 600;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtk6F15M.woff2) format('woff2');
+  unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB;
+}
+/* latin-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 600;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWt06F15M.woff2) format('woff2');
+  unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+/* latin */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 600;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuU6F.woff2) format('woff2');
+  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+/* cyrillic-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 700;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtE6F15M.woff2) format('woff2');
+  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
+}
+/* cyrillic */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 700;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWvU6F15M.woff2) format('woff2');
+  unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
+}
+/* greek-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 700;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtU6F15M.woff2) format('woff2');
+  unicode-range: U+1F00-1FFF;
+}
+/* greek */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 700;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuk6F15M.woff2) format('woff2');
+  unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF;
+}
+/* hebrew */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 700;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWu06F15M.woff2) format('woff2');
+  unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F;
+}
+/* math */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 700;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWxU6F15M.woff2) format('woff2');
+  unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0330, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2034-2037, U+2057, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2102, U+210A-210E, U+2110-2112, U+2115, U+2119-211D, U+2124, U+2128, U+212C-212D, U+212F-2131, U+2133-2138, U+213C-2140, U+2145-2149, U+2190, U+2192, U+2194-21AE, U+21B0-21E5, U+21F1-21F2, U+21F4-2211, U+2213-2214, U+2216-22FF, U+2308-230B, U+2310, U+2319, U+231C-2321, U+2336-237A, U+237C, U+2395, U+239B-23B6, U+23D0, U+23DC-23E1, U+2474-2475, U+25AF, U+25B3, U+25B7, U+25BD, U+25C1, U+25CA, U+25CC, U+25FB, U+266D-266F, U+27C0-27FF, U+2900-2AFF, U+2B0E-2B11, U+2B30-2B4C, U+2BFE, U+FF5B, U+FF5D, U+1D400-1D7FF, U+1EE00-1EEFF;
+}
+/* symbols */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 700;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqW106F15M.woff2) format('woff2');
+  unicode-range: U+0001-000C, U+000E-001F, U+007F-009F, U+20DD-20E0, U+20E2-20E4, U+2150-218F, U+2190, U+2192, U+2194-2199, U+21AF, U+21E6-21F0, U+21F3, U+2218-2219, U+2299, U+22C4-22C6, U+2300-243F, U+2440-244A, U+2460-24FF, U+25A0-27BF, U+2800-28FF, U+2921-2922, U+2981, U+29BF, U+29EB, U+2B00-2BFF, U+4DC0-4DFF, U+FFF9-FFFB, U+10140-1018E, U+10190-1019C, U+101A0, U+101D0-101FD, U+102E0-102FB, U+10E60-10E7E, U+1D2C0-1D2D3, U+1D2E0-1D37F, U+1F000-1F0FF, U+1F100-1F1AD, U+1F1E6-1F1FF, U+1F30D-1F30F, U+1F315, U+1F31C, U+1F31E, U+1F320-1F32C, U+1F336, U+1F378, U+1F37D, U+1F382, U+1F393-1F39F, U+1F3A7-1F3A8, U+1F3AC-1F3AF, U+1F3C2, U+1F3C4-1F3C6, U+1F3CA-1F3CE, U+1F3D4-1F3E0, U+1F3ED, U+1F3F1-1F3F3, U+1F3F5-1F3F7, U+1F408, U+1F415, U+1F41F, U+1F426, U+1F43F, U+1F441-1F442, U+1F444, U+1F446-1F449, U+1F44C-1F44E, U+1F453, U+1F46A, U+1F47D, U+1F4A3, U+1F4B0, U+1F4B3, U+1F4B9, U+1F4BB, U+1F4BF, U+1F4C8-1F4CB, U+1F4D6, U+1F4DA, U+1F4DF, U+1F4E3-1F4E6, U+1F4EA-1F4ED, U+1F4F7, U+1F4F9-1F4FB, U+1F4FD-1F4FE, U+1F503, U+1F507-1F50B, U+1F50D, U+1F512-1F513, U+1F53E-1F54A, U+1F54F-1F5FA, U+1F610, U+1F650-1F67F, U+1F687, U+1F68D, U+1F691, U+1F694, U+1F698, U+1F6AD, U+1F6B2, U+1F6B9-1F6BA, U+1F6BC, U+1F6C6-1F6CF, U+1F6D3-1F6D7, U+1F6E0-1F6EA, U+1F6F0-1F6F3, U+1F6F7-1F6FC, U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8B1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA88, U+1FA90-1FABD, U+1FABF-1FAC5, U+1FACE-1FADB, U+1FAE0-1FAE8, U+1FAF0-1FAF8, U+1FB00-1FBFF;
+}
+/* vietnamese */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 700;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtk6F15M.woff2) format('woff2');
+  unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB;
+}
+/* latin-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 700;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWt06F15M.woff2) format('woff2');
+  unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+/* latin */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 700;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuU6F.woff2) format('woff2');
+  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+/* cyrillic-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 800;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtE6F15M.woff2) format('woff2');
+  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
+}
+/* cyrillic */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 800;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWvU6F15M.woff2) format('woff2');
+  unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
+}
+/* greek-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 800;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtU6F15M.woff2) format('woff2');
+  unicode-range: U+1F00-1FFF;
+}
+/* greek */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 800;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuk6F15M.woff2) format('woff2');
+  unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF;
+}
+/* hebrew */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 800;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWu06F15M.woff2) format('woff2');
+  unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F;
+}
+/* math */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 800;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWxU6F15M.woff2) format('woff2');
+  unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0330, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2034-2037, U+2057, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2102, U+210A-210E, U+2110-2112, U+2115, U+2119-211D, U+2124, U+2128, U+212C-212D, U+212F-2131, U+2133-2138, U+213C-2140, U+2145-2149, U+2190, U+2192, U+2194-21AE, U+21B0-21E5, U+21F1-21F2, U+21F4-2211, U+2213-2214, U+2216-22FF, U+2308-230B, U+2310, U+2319, U+231C-2321, U+2336-237A, U+237C, U+2395, U+239B-23B6, U+23D0, U+23DC-23E1, U+2474-2475, U+25AF, U+25B3, U+25B7, U+25BD, U+25C1, U+25CA, U+25CC, U+25FB, U+266D-266F, U+27C0-27FF, U+2900-2AFF, U+2B0E-2B11, U+2B30-2B4C, U+2BFE, U+FF5B, U+FF5D, U+1D400-1D7FF, U+1EE00-1EEFF;
+}
+/* symbols */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 800;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqW106F15M.woff2) format('woff2');
+  unicode-range: U+0001-000C, U+000E-001F, U+007F-009F, U+20DD-20E0, U+20E2-20E4, U+2150-218F, U+2190, U+2192, U+2194-2199, U+21AF, U+21E6-21F0, U+21F3, U+2218-2219, U+2299, U+22C4-22C6, U+2300-243F, U+2440-244A, U+2460-24FF, U+25A0-27BF, U+2800-28FF, U+2921-2922, U+2981, U+29BF, U+29EB, U+2B00-2BFF, U+4DC0-4DFF, U+FFF9-FFFB, U+10140-1018E, U+10190-1019C, U+101A0, U+101D0-101FD, U+102E0-102FB, U+10E60-10E7E, U+1D2C0-1D2D3, U+1D2E0-1D37F, U+1F000-1F0FF, U+1F100-1F1AD, U+1F1E6-1F1FF, U+1F30D-1F30F, U+1F315, U+1F31C, U+1F31E, U+1F320-1F32C, U+1F336, U+1F378, U+1F37D, U+1F382, U+1F393-1F39F, U+1F3A7-1F3A8, U+1F3AC-1F3AF, U+1F3C2, U+1F3C4-1F3C6, U+1F3CA-1F3CE, U+1F3D4-1F3E0, U+1F3ED, U+1F3F1-1F3F3, U+1F3F5-1F3F7, U+1F408, U+1F415, U+1F41F, U+1F426, U+1F43F, U+1F441-1F442, U+1F444, U+1F446-1F449, U+1F44C-1F44E, U+1F453, U+1F46A, U+1F47D, U+1F4A3, U+1F4B0, U+1F4B3, U+1F4B9, U+1F4BB, U+1F4BF, U+1F4C8-1F4CB, U+1F4D6, U+1F4DA, U+1F4DF, U+1F4E3-1F4E6, U+1F4EA-1F4ED, U+1F4F7, U+1F4F9-1F4FB, U+1F4FD-1F4FE, U+1F503, U+1F507-1F50B, U+1F50D, U+1F512-1F513, U+1F53E-1F54A, U+1F54F-1F5FA, U+1F610, U+1F650-1F67F, U+1F687, U+1F68D, U+1F691, U+1F694, U+1F698, U+1F6AD, U+1F6B2, U+1F6B9-1F6BA, U+1F6BC, U+1F6C6-1F6CF, U+1F6D3-1F6D7, U+1F6E0-1F6EA, U+1F6F0-1F6F3, U+1F6F7-1F6FC, U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8B1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA88, U+1FA90-1FABD, U+1FABF-1FAC5, U+1FACE-1FADB, U+1FAE0-1FAE8, U+1FAF0-1FAF8, U+1FB00-1FBFF;
+}
+/* vietnamese */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 800;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtk6F15M.woff2) format('woff2');
+  unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB;
+}
+/* latin-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 800;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWt06F15M.woff2) format('woff2');
+  unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+/* latin */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 800;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuU6F.woff2) format('woff2');
+  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+/* cyrillic-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 300;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSKmu1aB.woff2) format('woff2');
+  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
+}
+/* cyrillic */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 300;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSumu1aB.woff2) format('woff2');
+  unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
+}
+/* greek-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 300;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSOmu1aB.woff2) format('woff2');
+  unicode-range: U+1F00-1FFF;
+}
+/* greek */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 300;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSymu1aB.woff2) format('woff2');
+  unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF;
+}
+/* hebrew */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 300;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTS2mu1aB.woff2) format('woff2');
+  unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F;
+}
+/* math */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 300;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTVOmu1aB.woff2) format('woff2');
+  unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0330, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2034-2037, U+2057, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2102, U+210A-210E, U+2110-2112, U+2115, U+2119-211D, U+2124, U+2128, U+212C-212D, U+212F-2131, U+2133-2138, U+213C-2140, U+2145-2149, U+2190, U+2192, U+2194-21AE, U+21B0-21E5, U+21F1-21F2, U+21F4-2211, U+2213-2214, U+2216-22FF, U+2308-230B, U+2310, U+2319, U+231C-2321, U+2336-237A, U+237C, U+2395, U+239B-23B6, U+23D0, U+23DC-23E1, U+2474-2475, U+25AF, U+25B3, U+25B7, U+25BD, U+25C1, U+25CA, U+25CC, U+25FB, U+266D-266F, U+27C0-27FF, U+2900-2AFF, U+2B0E-2B11, U+2B30-2B4C, U+2BFE, U+FF5B, U+FF5D, U+1D400-1D7FF, U+1EE00-1EEFF;
+}
+/* symbols */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 300;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTUGmu1aB.woff2) format('woff2');
+  unicode-range: U+0001-000C, U+000E-001F, U+007F-009F, U+20DD-20E0, U+20E2-20E4, U+2150-218F, U+2190, U+2192, U+2194-2199, U+21AF, U+21E6-21F0, U+21F3, U+2218-2219, U+2299, U+22C4-22C6, U+2300-243F, U+2440-244A, U+2460-24FF, U+25A0-27BF, U+2800-28FF, U+2921-2922, U+2981, U+29BF, U+29EB, U+2B00-2BFF, U+4DC0-4DFF, U+FFF9-FFFB, U+10140-1018E, U+10190-1019C, U+101A0, U+101D0-101FD, U+102E0-102FB, U+10E60-10E7E, U+1D2C0-1D2D3, U+1D2E0-1D37F, U+1F000-1F0FF, U+1F100-1F1AD, U+1F1E6-1F1FF, U+1F30D-1F30F, U+1F315, U+1F31C, U+1F31E, U+1F320-1F32C, U+1F336, U+1F378, U+1F37D, U+1F382, U+1F393-1F39F, U+1F3A7-1F3A8, U+1F3AC-1F3AF, U+1F3C2, U+1F3C4-1F3C6, U+1F3CA-1F3CE, U+1F3D4-1F3E0, U+1F3ED, U+1F3F1-1F3F3, U+1F3F5-1F3F7, U+1F408, U+1F415, U+1F41F, U+1F426, U+1F43F, U+1F441-1F442, U+1F444, U+1F446-1F449, U+1F44C-1F44E, U+1F453, U+1F46A, U+1F47D, U+1F4A3, U+1F4B0, U+1F4B3, U+1F4B9, U+1F4BB, U+1F4BF, U+1F4C8-1F4CB, U+1F4D6, U+1F4DA, U+1F4DF, U+1F4E3-1F4E6, U+1F4EA-1F4ED, U+1F4F7, U+1F4F9-1F4FB, U+1F4FD-1F4FE, U+1F503, U+1F507-1F50B, U+1F50D, U+1F512-1F513, U+1F53E-1F54A, U+1F54F-1F5FA, U+1F610, U+1F650-1F67F, U+1F687, U+1F68D, U+1F691, U+1F694, U+1F698, U+1F6AD, U+1F6B2, U+1F6B9-1F6BA, U+1F6BC, U+1F6C6-1F6CF, U+1F6D3-1F6D7, U+1F6E0-1F6EA, U+1F6F0-1F6F3, U+1F6F7-1F6FC, U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8B1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA88, U+1FA90-1FABD, U+1FABF-1FAC5, U+1FACE-1FADB, U+1FAE0-1FAE8, U+1FAF0-1FAF8, U+1FB00-1FBFF;
+}
+/* vietnamese */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 300;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSCmu1aB.woff2) format('woff2');
+  unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB;
+}
+/* latin-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 300;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSGmu1aB.woff2) format('woff2');
+  unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+/* latin */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 300;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTS-muw.woff2) format('woff2');
+  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+/* cyrillic-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 400;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSKmu1aB.woff2) format('woff2');
+  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
+}
+/* cyrillic */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 400;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSumu1aB.woff2) format('woff2');
+  unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
+}
+/* greek-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 400;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSOmu1aB.woff2) format('woff2');
+  unicode-range: U+1F00-1FFF;
+}
+/* greek */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 400;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSymu1aB.woff2) format('woff2');
+  unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF;
+}
+/* hebrew */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 400;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTS2mu1aB.woff2) format('woff2');
+  unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F;
+}
+/* math */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 400;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTVOmu1aB.woff2) format('woff2');
+  unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0330, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2034-2037, U+2057, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2102, U+210A-210E, U+2110-2112, U+2115, U+2119-211D, U+2124, U+2128, U+212C-212D, U+212F-2131, U+2133-2138, U+213C-2140, U+2145-2149, U+2190, U+2192, U+2194-21AE, U+21B0-21E5, U+21F1-21F2, U+21F4-2211, U+2213-2214, U+2216-22FF, U+2308-230B, U+2310, U+2319, U+231C-2321, U+2336-237A, U+237C, U+2395, U+239B-23B6, U+23D0, U+23DC-23E1, U+2474-2475, U+25AF, U+25B3, U+25B7, U+25BD, U+25C1, U+25CA, U+25CC, U+25FB, U+266D-266F, U+27C0-27FF, U+2900-2AFF, U+2B0E-2B11, U+2B30-2B4C, U+2BFE, U+FF5B, U+FF5D, U+1D400-1D7FF, U+1EE00-1EEFF;
+}
+/* symbols */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 400;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTUGmu1aB.woff2) format('woff2');
+  unicode-range: U+0001-000C, U+000E-001F, U+007F-009F, U+20DD-20E0, U+20E2-20E4, U+2150-218F, U+2190, U+2192, U+2194-2199, U+21AF, U+21E6-21F0, U+21F3, U+2218-2219, U+2299, U+22C4-22C6, U+2300-243F, U+2440-244A, U+2460-24FF, U+25A0-27BF, U+2800-28FF, U+2921-2922, U+2981, U+29BF, U+29EB, U+2B00-2BFF, U+4DC0-4DFF, U+FFF9-FFFB, U+10140-1018E, U+10190-1019C, U+101A0, U+101D0-101FD, U+102E0-102FB, U+10E60-10E7E, U+1D2C0-1D2D3, U+1D2E0-1D37F, U+1F000-1F0FF, U+1F100-1F1AD, U+1F1E6-1F1FF, U+1F30D-1F30F, U+1F315, U+1F31C, U+1F31E, U+1F320-1F32C, U+1F336, U+1F378, U+1F37D, U+1F382, U+1F393-1F39F, U+1F3A7-1F3A8, U+1F3AC-1F3AF, U+1F3C2, U+1F3C4-1F3C6, U+1F3CA-1F3CE, U+1F3D4-1F3E0, U+1F3ED, U+1F3F1-1F3F3, U+1F3F5-1F3F7, U+1F408, U+1F415, U+1F41F, U+1F426, U+1F43F, U+1F441-1F442, U+1F444, U+1F446-1F449, U+1F44C-1F44E, U+1F453, U+1F46A, U+1F47D, U+1F4A3, U+1F4B0, U+1F4B3, U+1F4B9, U+1F4BB, U+1F4BF, U+1F4C8-1F4CB, U+1F4D6, U+1F4DA, U+1F4DF, U+1F4E3-1F4E6, U+1F4EA-1F4ED, U+1F4F7, U+1F4F9-1F4FB, U+1F4FD-1F4FE, U+1F503, U+1F507-1F50B, U+1F50D, U+1F512-1F513, U+1F53E-1F54A, U+1F54F-1F5FA, U+1F610, U+1F650-1F67F, U+1F687, U+1F68D, U+1F691, U+1F694, U+1F698, U+1F6AD, U+1F6B2, U+1F6B9-1F6BA, U+1F6BC, U+1F6C6-1F6CF, U+1F6D3-1F6D7, U+1F6E0-1F6EA, U+1F6F0-1F6F3, U+1F6F7-1F6FC, U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8B1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA88, U+1FA90-1FABD, U+1FABF-1FAC5, U+1FACE-1FADB, U+1FAE0-1FAE8, U+1FAF0-1FAF8, U+1FB00-1FBFF;
+}
+/* vietnamese */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 400;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSCmu1aB.woff2) format('woff2');
+  unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB;
+}
+/* latin-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 400;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSGmu1aB.woff2) format('woff2');
+  unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+/* latin */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
   font-weight: 400;
-  font-stretch: normal;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTS-muw.woff2) format('woff2');
+  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+/* cyrillic-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSKmu1aB.woff2) format('woff2');
+  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
+}
+/* cyrillic */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSumu1aB.woff2) format('woff2');
+  unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
+}
+/* greek-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSOmu1aB.woff2) format('woff2');
+  unicode-range: U+1F00-1FFF;
+}
+/* greek */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSymu1aB.woff2) format('woff2');
+  unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF;
+}
+/* hebrew */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTS2mu1aB.woff2) format('woff2');
+  unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F;
+}
+/* math */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTVOmu1aB.woff2) format('woff2');
+  unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0330, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2034-2037, U+2057, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2102, U+210A-210E, U+2110-2112, U+2115, U+2119-211D, U+2124, U+2128, U+212C-212D, U+212F-2131, U+2133-2138, U+213C-2140, U+2145-2149, U+2190, U+2192, U+2194-21AE, U+21B0-21E5, U+21F1-21F2, U+21F4-2211, U+2213-2214, U+2216-22FF, U+2308-230B, U+2310, U+2319, U+231C-2321, U+2336-237A, U+237C, U+2395, U+239B-23B6, U+23D0, U+23DC-23E1, U+2474-2475, U+25AF, U+25B3, U+25B7, U+25BD, U+25C1, U+25CA, U+25CC, U+25FB, U+266D-266F, U+27C0-27FF, U+2900-2AFF, U+2B0E-2B11, U+2B30-2B4C, U+2BFE, U+FF5B, U+FF5D, U+1D400-1D7FF, U+1EE00-1EEFF;
+}
+/* symbols */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTUGmu1aB.woff2) format('woff2');
+  unicode-range: U+0001-000C, U+000E-001F, U+007F-009F, U+20DD-20E0, U+20E2-20E4, U+2150-218F, U+2190, U+2192, U+2194-2199, U+21AF, U+21E6-21F0, U+21F3, U+2218-2219, U+2299, U+22C4-22C6, U+2300-243F, U+2440-244A, U+2460-24FF, U+25A0-27BF, U+2800-28FF, U+2921-2922, U+2981, U+29BF, U+29EB, U+2B00-2BFF, U+4DC0-4DFF, U+FFF9-FFFB, U+10140-1018E, U+10190-1019C, U+101A0, U+101D0-101FD, U+102E0-102FB, U+10E60-10E7E, U+1D2C0-1D2D3, U+1D2E0-1D37F, U+1F000-1F0FF, U+1F100-1F1AD, U+1F1E6-1F1FF, U+1F30D-1F30F, U+1F315, U+1F31C, U+1F31E, U+1F320-1F32C, U+1F336, U+1F378, U+1F37D, U+1F382, U+1F393-1F39F, U+1F3A7-1F3A8, U+1F3AC-1F3AF, U+1F3C2, U+1F3C4-1F3C6, U+1F3CA-1F3CE, U+1F3D4-1F3E0, U+1F3ED, U+1F3F1-1F3F3, U+1F3F5-1F3F7, U+1F408, U+1F415, U+1F41F, U+1F426, U+1F43F, U+1F441-1F442, U+1F444, U+1F446-1F449, U+1F44C-1F44E, U+1F453, U+1F46A, U+1F47D, U+1F4A3, U+1F4B0, U+1F4B3, U+1F4B9, U+1F4BB, U+1F4BF, U+1F4C8-1F4CB, U+1F4D6, U+1F4DA, U+1F4DF, U+1F4E3-1F4E6, U+1F4EA-1F4ED, U+1F4F7, U+1F4F9-1F4FB, U+1F4FD-1F4FE, U+1F503, U+1F507-1F50B, U+1F50D, U+1F512-1F513, U+1F53E-1F54A, U+1F54F-1F5FA, U+1F610, U+1F650-1F67F, U+1F687, U+1F68D, U+1F691, U+1F694, U+1F698, U+1F6AD, U+1F6B2, U+1F6B9-1F6BA, U+1F6BC, U+1F6C6-1F6CF, U+1F6D3-1F6D7, U+1F6E0-1F6EA, U+1F6F0-1F6F3, U+1F6F7-1F6FC, U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8B1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA88, U+1FA90-1FABD, U+1FABF-1FAC5, U+1FACE-1FADB, U+1FAE0-1FAE8, U+1FAF0-1FAF8, U+1FB00-1FBFF;
+}
+/* vietnamese */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSCmu1aB.woff2) format('woff2');
+  unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB;
+}
+/* latin-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSGmu1aB.woff2) format('woff2');
+  unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+/* latin */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 500;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTS-muw.woff2) format('woff2');
+  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+/* cyrillic-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 600;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSKmu1aB.woff2) format('woff2');
+  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
+}
+/* cyrillic */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 600;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSumu1aB.woff2) format('woff2');
+  unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
+}
+/* greek-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 600;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSOmu1aB.woff2) format('woff2');
+  unicode-range: U+1F00-1FFF;
+}
+/* greek */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 600;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSymu1aB.woff2) format('woff2');
+  unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF;
+}
+/* hebrew */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 600;
+  font-stretch: 100%;
   font-display: swap;
-  src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk8ZkaVQ.woff) format('woff');
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTS2mu1aB.woff2) format('woff2');
+  unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F;
 }
+/* math */
 @font-face {
   font-family: 'Open Sans';
-  font-style: italic;
-  font-weight: 500;
-  font-stretch: normal;
+  font-style: normal;
+  font-weight: 600;
+  font-stretch: 100%;
   font-display: swap;
-  src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk_RkaVQ.woff) format('woff');
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTVOmu1aB.woff2) format('woff2');
+  unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0330, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2034-2037, U+2057, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2102, U+210A-210E, U+2110-2112, U+2115, U+2119-211D, U+2124, U+2128, U+212C-212D, U+212F-2131, U+2133-2138, U+213C-2140, U+2145-2149, U+2190, U+2192, U+2194-21AE, U+21B0-21E5, U+21F1-21F2, U+21F4-2211, U+2213-2214, U+2216-22FF, U+2308-230B, U+2310, U+2319, U+231C-2321, U+2336-237A, U+237C, U+2395, U+239B-23B6, U+23D0, U+23DC-23E1, U+2474-2475, U+25AF, U+25B3, U+25B7, U+25BD, U+25C1, U+25CA, U+25CC, U+25FB, U+266D-266F, U+27C0-27FF, U+2900-2AFF, U+2B0E-2B11, U+2B30-2B4C, U+2BFE, U+FF5B, U+FF5D, U+1D400-1D7FF, U+1EE00-1EEFF;
 }
+/* symbols */
 @font-face {
   font-family: 'Open Sans';
-  font-style: italic;
+  font-style: normal;
   font-weight: 600;
-  font-stretch: normal;
+  font-stretch: 100%;
   font-display: swap;
-  src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkxhjaVQ.woff) format('woff');
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTUGmu1aB.woff2) format('woff2');
+  unicode-range: U+0001-000C, U+000E-001F, U+007F-009F, U+20DD-20E0, U+20E2-20E4, U+2150-218F, U+2190, U+2192, U+2194-2199, U+21AF, U+21E6-21F0, U+21F3, U+2218-2219, U+2299, U+22C4-22C6, U+2300-243F, U+2440-244A, U+2460-24FF, U+25A0-27BF, U+2800-28FF, U+2921-2922, U+2981, U+29BF, U+29EB, U+2B00-2BFF, U+4DC0-4DFF, U+FFF9-FFFB, U+10140-1018E, U+10190-1019C, U+101A0, U+101D0-101FD, U+102E0-102FB, U+10E60-10E7E, U+1D2C0-1D2D3, U+1D2E0-1D37F, U+1F000-1F0FF, U+1F100-1F1AD, U+1F1E6-1F1FF, U+1F30D-1F30F, U+1F315, U+1F31C, U+1F31E, U+1F320-1F32C, U+1F336, U+1F378, U+1F37D, U+1F382, U+1F393-1F39F, U+1F3A7-1F3A8, U+1F3AC-1F3AF, U+1F3C2, U+1F3C4-1F3C6, U+1F3CA-1F3CE, U+1F3D4-1F3E0, U+1F3ED, U+1F3F1-1F3F3, U+1F3F5-1F3F7, U+1F408, U+1F415, U+1F41F, U+1F426, U+1F43F, U+1F441-1F442, U+1F444, U+1F446-1F449, U+1F44C-1F44E, U+1F453, U+1F46A, U+1F47D, U+1F4A3, U+1F4B0, U+1F4B3, U+1F4B9, U+1F4BB, U+1F4BF, U+1F4C8-1F4CB, U+1F4D6, U+1F4DA, U+1F4DF, U+1F4E3-1F4E6, U+1F4EA-1F4ED, U+1F4F7, U+1F4F9-1F4FB, U+1F4FD-1F4FE, U+1F503, U+1F507-1F50B, U+1F50D, U+1F512-1F513, U+1F53E-1F54A, U+1F54F-1F5FA, U+1F610, U+1F650-1F67F, U+1F687, U+1F68D, U+1F691, U+1F694, U+1F698, U+1F6AD, U+1F6B2, U+1F6B9-1F6BA, U+1F6BC, U+1F6C6-1F6CF, U+1F6D3-1F6D7, U+1F6E0-1F6EA, U+1F6F0-1F6F3, U+1F6F7-1F6FC, U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8B1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA88, U+1FA90-1FABD, U+1FABF-1FAC5, U+1FACE-1FADB, U+1FAE0-1FAE8, U+1FAF0-1FAF8, U+1FB00-1FBFF;
 }
+/* vietnamese */
 @font-face {
   font-family: 'Open Sans';
-  font-style: italic;
+  font-style: normal;
+  font-weight: 600;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSCmu1aB.woff2) format('woff2');
+  unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB;
+}
+/* latin-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 600;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSGmu1aB.woff2) format('woff2');
+  unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+/* latin */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 600;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTS-muw.woff2) format('woff2');
+  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+/* cyrillic-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
   font-weight: 700;
-  font-stretch: normal;
+  font-stretch: 100%;
   font-display: swap;
-  src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkyFjaVQ.woff) format('woff');
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSKmu1aB.woff2) format('woff2');
+  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
 }
+/* cyrillic */
 @font-face {
   font-family: 'Open Sans';
-  font-style: italic;
-  font-weight: 800;
-  font-stretch: normal;
+  font-style: normal;
+  font-weight: 700;
+  font-stretch: 100%;
   font-display: swap;
-  src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk0ZjaVQ.woff) format('woff');
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSumu1aB.woff2) format('woff2');
+  unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
 }
+/* greek-ext */
 @font-face {
   font-family: 'Open Sans';
   font-style: normal;
-  font-weight: 300;
-  font-stretch: normal;
+  font-weight: 700;
+  font-stretch: 100%;
   font-display: swap;
-  src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsiH0C4k.woff) format('woff');
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSOmu1aB.woff2) format('woff2');
+  unicode-range: U+1F00-1FFF;
 }
+/* greek */
 @font-face {
   font-family: 'Open Sans';
   font-style: normal;
-  font-weight: 400;
-  font-stretch: normal;
+  font-weight: 700;
+  font-stretch: 100%;
   font-display: swap;
-  src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjZ0C4k.woff) format('woff');
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSymu1aB.woff2) format('woff2');
+  unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF;
 }
+/* hebrew */
 @font-face {
   font-family: 'Open Sans';
   font-style: normal;
-  font-weight: 500;
-  font-stretch: normal;
+  font-weight: 700;
+  font-stretch: 100%;
   font-display: swap;
-  src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjr0C4k.woff) format('woff');
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTS2mu1aB.woff2) format('woff2');
+  unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F;
 }
+/* math */
 @font-face {
   font-family: 'Open Sans';
   font-style: normal;
-  font-weight: 600;
-  font-stretch: normal;
+  font-weight: 700;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTVOmu1aB.woff2) format('woff2');
+  unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0330, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2034-2037, U+2057, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2102, U+210A-210E, U+2110-2112, U+2115, U+2119-211D, U+2124, U+2128, U+212C-212D, U+212F-2131, U+2133-2138, U+213C-2140, U+2145-2149, U+2190, U+2192, U+2194-21AE, U+21B0-21E5, U+21F1-21F2, U+21F4-2211, U+2213-2214, U+2216-22FF, U+2308-230B, U+2310, U+2319, U+231C-2321, U+2336-237A, U+237C, U+2395, U+239B-23B6, U+23D0, U+23DC-23E1, U+2474-2475, U+25AF, U+25B3, U+25B7, U+25BD, U+25C1, U+25CA, U+25CC, U+25FB, U+266D-266F, U+27C0-27FF, U+2900-2AFF, U+2B0E-2B11, U+2B30-2B4C, U+2BFE, U+FF5B, U+FF5D, U+1D400-1D7FF, U+1EE00-1EEFF;
+}
+/* symbols */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 700;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTUGmu1aB.woff2) format('woff2');
+  unicode-range: U+0001-000C, U+000E-001F, U+007F-009F, U+20DD-20E0, U+20E2-20E4, U+2150-218F, U+2190, U+2192, U+2194-2199, U+21AF, U+21E6-21F0, U+21F3, U+2218-2219, U+2299, U+22C4-22C6, U+2300-243F, U+2440-244A, U+2460-24FF, U+25A0-27BF, U+2800-28FF, U+2921-2922, U+2981, U+29BF, U+29EB, U+2B00-2BFF, U+4DC0-4DFF, U+FFF9-FFFB, U+10140-1018E, U+10190-1019C, U+101A0, U+101D0-101FD, U+102E0-102FB, U+10E60-10E7E, U+1D2C0-1D2D3, U+1D2E0-1D37F, U+1F000-1F0FF, U+1F100-1F1AD, U+1F1E6-1F1FF, U+1F30D-1F30F, U+1F315, U+1F31C, U+1F31E, U+1F320-1F32C, U+1F336, U+1F378, U+1F37D, U+1F382, U+1F393-1F39F, U+1F3A7-1F3A8, U+1F3AC-1F3AF, U+1F3C2, U+1F3C4-1F3C6, U+1F3CA-1F3CE, U+1F3D4-1F3E0, U+1F3ED, U+1F3F1-1F3F3, U+1F3F5-1F3F7, U+1F408, U+1F415, U+1F41F, U+1F426, U+1F43F, U+1F441-1F442, U+1F444, U+1F446-1F449, U+1F44C-1F44E, U+1F453, U+1F46A, U+1F47D, U+1F4A3, U+1F4B0, U+1F4B3, U+1F4B9, U+1F4BB, U+1F4BF, U+1F4C8-1F4CB, U+1F4D6, U+1F4DA, U+1F4DF, U+1F4E3-1F4E6, U+1F4EA-1F4ED, U+1F4F7, U+1F4F9-1F4FB, U+1F4FD-1F4FE, U+1F503, U+1F507-1F50B, U+1F50D, U+1F512-1F513, U+1F53E-1F54A, U+1F54F-1F5FA, U+1F610, U+1F650-1F67F, U+1F687, U+1F68D, U+1F691, U+1F694, U+1F698, U+1F6AD, U+1F6B2, U+1F6B9-1F6BA, U+1F6BC, U+1F6C6-1F6CF, U+1F6D3-1F6D7, U+1F6E0-1F6EA, U+1F6F0-1F6F3, U+1F6F7-1F6FC, U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8B1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA88, U+1FA90-1FABD, U+1FABF-1FAC5, U+1FACE-1FADB, U+1FAE0-1FAE8, U+1FAF0-1FAF8, U+1FB00-1FBFF;
+}
+/* vietnamese */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 700;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSCmu1aB.woff2) format('woff2');
+  unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB;
+}
+/* latin-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 700;
+  font-stretch: 100%;
   font-display: swap;
-  src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsgH1y4k.woff) format('woff');
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSGmu1aB.woff2) format('woff2');
+  unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
 }
+/* latin */
 @font-face {
   font-family: 'Open Sans';
   font-style: normal;
   font-weight: 700;
-  font-stretch: normal;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTS-muw.woff2) format('woff2');
+  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+/* cyrillic-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 800;
+  font-stretch: 100%;
   font-display: swap;
-  src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsg-1y4k.woff) format('woff');
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSKmu1aB.woff2) format('woff2');
+  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
 }
+/* cyrillic */
 @font-face {
   font-family: 'Open Sans';
   font-style: normal;
   font-weight: 800;
-  font-stretch: normal;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSumu1aB.woff2) format('woff2');
+  unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
+}
+/* greek-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 800;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSOmu1aB.woff2) format('woff2');
+  unicode-range: U+1F00-1FFF;
+}
+/* greek */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 800;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSymu1aB.woff2) format('woff2');
+  unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF;
+}
+/* hebrew */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 800;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTS2mu1aB.woff2) format('woff2');
+  unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F;
+}
+/* math */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 800;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTVOmu1aB.woff2) format('woff2');
+  unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0330, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2034-2037, U+2057, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2102, U+210A-210E, U+2110-2112, U+2115, U+2119-211D, U+2124, U+2128, U+212C-212D, U+212F-2131, U+2133-2138, U+213C-2140, U+2145-2149, U+2190, U+2192, U+2194-21AE, U+21B0-21E5, U+21F1-21F2, U+21F4-2211, U+2213-2214, U+2216-22FF, U+2308-230B, U+2310, U+2319, U+231C-2321, U+2336-237A, U+237C, U+2395, U+239B-23B6, U+23D0, U+23DC-23E1, U+2474-2475, U+25AF, U+25B3, U+25B7, U+25BD, U+25C1, U+25CA, U+25CC, U+25FB, U+266D-266F, U+27C0-27FF, U+2900-2AFF, U+2B0E-2B11, U+2B30-2B4C, U+2BFE, U+FF5B, U+FF5D, U+1D400-1D7FF, U+1EE00-1EEFF;
+}
+/* symbols */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 800;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTUGmu1aB.woff2) format('woff2');
+  unicode-range: U+0001-000C, U+000E-001F, U+007F-009F, U+20DD-20E0, U+20E2-20E4, U+2150-218F, U+2190, U+2192, U+2194-2199, U+21AF, U+21E6-21F0, U+21F3, U+2218-2219, U+2299, U+22C4-22C6, U+2300-243F, U+2440-244A, U+2460-24FF, U+25A0-27BF, U+2800-28FF, U+2921-2922, U+2981, U+29BF, U+29EB, U+2B00-2BFF, U+4DC0-4DFF, U+FFF9-FFFB, U+10140-1018E, U+10190-1019C, U+101A0, U+101D0-101FD, U+102E0-102FB, U+10E60-10E7E, U+1D2C0-1D2D3, U+1D2E0-1D37F, U+1F000-1F0FF, U+1F100-1F1AD, U+1F1E6-1F1FF, U+1F30D-1F30F, U+1F315, U+1F31C, U+1F31E, U+1F320-1F32C, U+1F336, U+1F378, U+1F37D, U+1F382, U+1F393-1F39F, U+1F3A7-1F3A8, U+1F3AC-1F3AF, U+1F3C2, U+1F3C4-1F3C6, U+1F3CA-1F3CE, U+1F3D4-1F3E0, U+1F3ED, U+1F3F1-1F3F3, U+1F3F5-1F3F7, U+1F408, U+1F415, U+1F41F, U+1F426, U+1F43F, U+1F441-1F442, U+1F444, U+1F446-1F449, U+1F44C-1F44E, U+1F453, U+1F46A, U+1F47D, U+1F4A3, U+1F4B0, U+1F4B3, U+1F4B9, U+1F4BB, U+1F4BF, U+1F4C8-1F4CB, U+1F4D6, U+1F4DA, U+1F4DF, U+1F4E3-1F4E6, U+1F4EA-1F4ED, U+1F4F7, U+1F4F9-1F4FB, U+1F4FD-1F4FE, U+1F503, U+1F507-1F50B, U+1F50D, U+1F512-1F513, U+1F53E-1F54A, U+1F54F-1F5FA, U+1F610, U+1F650-1F67F, U+1F687, U+1F68D, U+1F691, U+1F694, U+1F698, U+1F6AD, U+1F6B2, U+1F6B9-1F6BA, U+1F6BC, U+1F6C6-1F6CF, U+1F6D3-1F6D7, U+1F6E0-1F6EA, U+1F6F0-1F6F3, U+1F6F7-1F6FC, U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8B1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA88, U+1FA90-1FABD, U+1FABF-1FAC5, U+1FACE-1FADB, U+1FAE0-1FAE8, U+1FAF0-1FAF8, U+1FB00-1FBFF;
+}
+/* vietnamese */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 800;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSCmu1aB.woff2) format('woff2');
+  unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB;
+}
+/* latin-ext */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 800;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSGmu1aB.woff2) format('woff2');
+  unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+/* latin */
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 800;
+  font-stretch: 100%;
+  font-display: swap;
+  src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTS-muw.woff2) format('woff2');
+  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+/* cyrillic-ext */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: italic;
+  font-weight: 400;
+  font-display: swap;
+  src: url(fonts/HI_QiYsKILxRpg3hIP6sJ7fM7PqlONvZlMIXxw.woff2) format('woff2');
+  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
+}
+/* cyrillic */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: italic;
+  font-weight: 400;
+  font-display: swap;
+  src: url(fonts/HI_QiYsKILxRpg3hIP6sJ7fM7PqlONvQlMIXxw.woff2) format('woff2');
+  unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
+}
+/* greek-ext */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: italic;
+  font-weight: 400;
+  font-display: swap;
+  src: url(fonts/HI_QiYsKILxRpg3hIP6sJ7fM7PqlONvYlMIXxw.woff2) format('woff2');
+  unicode-range: U+1F00-1FFF;
+}
+/* greek */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: italic;
+  font-weight: 400;
+  font-display: swap;
+  src: url(fonts/HI_QiYsKILxRpg3hIP6sJ7fM7PqlONvXlMIXxw.woff2) format('woff2');
+  unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF;
+}
+/* vietnamese */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: italic;
+  font-weight: 400;
+  font-display: swap;
+  src: url(fonts/HI_QiYsKILxRpg3hIP6sJ7fM7PqlONvblMIXxw.woff2) format('woff2');
+  unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB;
+}
+/* latin-ext */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: italic;
+  font-weight: 400;
   font-display: swap;
-  src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgshZ1y4k.woff) format('woff');
+  src: url(fonts/HI_QiYsKILxRpg3hIP6sJ7fM7PqlONvalMIXxw.woff2) format('woff2');
+  unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
 }
+/* latin */
 @font-face {
   font-family: 'Source Code Pro';
   font-style: italic;
   font-weight: 400;
   font-display: swap;
-  src: url(fonts/HI_jiYsKILxRpg3hIP6sJ7fM7PqlOPHYvDP_W9O7GQTTbI1rSg.woff) format('woff');
+  src: url(fonts/HI_QiYsKILxRpg3hIP6sJ7fM7PqlONvUlMI.woff2) format('woff2');
+  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+/* cyrillic-ext */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: italic;
+  font-weight: 600;
+  font-display: swap;
+  src: url(fonts/HI_QiYsKILxRpg3hIP6sJ7fM7PqlONvZlMIXxw.woff2) format('woff2');
+  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
+}
+/* cyrillic */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: italic;
+  font-weight: 600;
+  font-display: swap;
+  src: url(fonts/HI_QiYsKILxRpg3hIP6sJ7fM7PqlONvQlMIXxw.woff2) format('woff2');
+  unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
 }
+/* greek-ext */
 @font-face {
   font-family: 'Source Code Pro';
   font-style: italic;
   font-weight: 600;
   font-display: swap;
-  src: url(fonts/HI_jiYsKILxRpg3hIP6sJ7fM7PqlOPHYvDP_W9O7GQTTsoprSg.woff) format('woff');
+  src: url(fonts/HI_QiYsKILxRpg3hIP6sJ7fM7PqlONvYlMIXxw.woff2) format('woff2');
+  unicode-range: U+1F00-1FFF;
+}
+/* greek */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: italic;
+  font-weight: 600;
+  font-display: swap;
+  src: url(fonts/HI_QiYsKILxRpg3hIP6sJ7fM7PqlONvXlMIXxw.woff2) format('woff2');
+  unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF;
+}
+/* vietnamese */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: italic;
+  font-weight: 600;
+  font-display: swap;
+  src: url(fonts/HI_QiYsKILxRpg3hIP6sJ7fM7PqlONvblMIXxw.woff2) format('woff2');
+  unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB;
+}
+/* latin-ext */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: italic;
+  font-weight: 600;
+  font-display: swap;
+  src: url(fonts/HI_QiYsKILxRpg3hIP6sJ7fM7PqlONvalMIXxw.woff2) format('woff2');
+  unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+/* latin */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: italic;
+  font-weight: 600;
+  font-display: swap;
+  src: url(fonts/HI_QiYsKILxRpg3hIP6sJ7fM7PqlONvUlMI.woff2) format('woff2');
+  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+/* cyrillic-ext */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: normal;
+  font-weight: 400;
+  font-display: swap;
+  src: url(fonts/HI_SiYsKILxRpg3hIP6sJ7fM7PqlMOvWjMY.woff2) format('woff2');
+  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
+}
+/* cyrillic */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: normal;
+  font-weight: 400;
+  font-display: swap;
+  src: url(fonts/HI_SiYsKILxRpg3hIP6sJ7fM7PqlOevWjMY.woff2) format('woff2');
+  unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
+}
+/* greek-ext */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: normal;
+  font-weight: 400;
+  font-display: swap;
+  src: url(fonts/HI_SiYsKILxRpg3hIP6sJ7fM7PqlMevWjMY.woff2) format('woff2');
+  unicode-range: U+1F00-1FFF;
+}
+/* greek */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: normal;
+  font-weight: 400;
+  font-display: swap;
+  src: url(fonts/HI_SiYsKILxRpg3hIP6sJ7fM7PqlPuvWjMY.woff2) format('woff2');
+  unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF;
 }
+/* vietnamese */
 @font-face {
   font-family: 'Source Code Pro';
   font-style: normal;
   font-weight: 400;
   font-display: swap;
-  src: url(fonts/HI_diYsKILxRpg3hIP6sJ7fM7PqPMcMnZFqUwX28DMyQhM0.woff) format('woff');
+  src: url(fonts/HI_SiYsKILxRpg3hIP6sJ7fM7PqlMuvWjMY.woff2) format('woff2');
+  unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB;
+}
+/* latin-ext */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: normal;
+  font-weight: 400;
+  font-display: swap;
+  src: url(fonts/HI_SiYsKILxRpg3hIP6sJ7fM7PqlM-vWjMY.woff2) format('woff2');
+  unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+/* latin */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: normal;
+  font-weight: 400;
+  font-display: swap;
+  src: url(fonts/HI_SiYsKILxRpg3hIP6sJ7fM7PqlPevW.woff2) format('woff2');
+  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+/* cyrillic-ext */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: normal;
+  font-weight: 600;
+  font-display: swap;
+  src: url(fonts/HI_SiYsKILxRpg3hIP6sJ7fM7PqlMOvWjMY.woff2) format('woff2');
+  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
+}
+/* cyrillic */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: normal;
+  font-weight: 600;
+  font-display: swap;
+  src: url(fonts/HI_SiYsKILxRpg3hIP6sJ7fM7PqlOevWjMY.woff2) format('woff2');
+  unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
+}
+/* greek-ext */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: normal;
+  font-weight: 600;
+  font-display: swap;
+  src: url(fonts/HI_SiYsKILxRpg3hIP6sJ7fM7PqlMevWjMY.woff2) format('woff2');
+  unicode-range: U+1F00-1FFF;
+}
+/* greek */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: normal;
+  font-weight: 600;
+  font-display: swap;
+  src: url(fonts/HI_SiYsKILxRpg3hIP6sJ7fM7PqlPuvWjMY.woff2) format('woff2');
+  unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF;
+}
+/* vietnamese */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: normal;
+  font-weight: 600;
+  font-display: swap;
+  src: url(fonts/HI_SiYsKILxRpg3hIP6sJ7fM7PqlMuvWjMY.woff2) format('woff2');
+  unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB;
+}
+/* latin-ext */
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: normal;
+  font-weight: 600;
+  font-display: swap;
+  src: url(fonts/HI_SiYsKILxRpg3hIP6sJ7fM7PqlM-vWjMY.woff2) format('woff2');
+  unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
 }
+/* latin */
 @font-face {
   font-family: 'Source Code Pro';
   font-style: normal;
   font-weight: 600;
   font-display: swap;
-  src: url(fonts/HI_diYsKILxRpg3hIP6sJ7fM7PqPMcMnZFqUwX28DBKXhM0.woff) format('woff');
+  src: url(fonts/HI_SiYsKILxRpg3hIP6sJ7fM7PqlPevW.woff2) format('woff2');
+  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
 }
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diff --git a/index.html b/index.html
index 20dfad7..ab5be35 100644
--- a/index.html
+++ b/index.html
@@ -36,7 +36,7 @@
     
     <a class="navbar-brand me-2" href="index.html">cellxgenedp</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.2</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.3</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/news/index.html b/news/index.html
index eee2ffe..a55ca84 100644
--- a/news/index.html
+++ b/news/index.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">cellxgenedp</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.2</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.3</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -53,13 +53,23 @@
 
     <div class="section level2">
 <h2 class="pkg-version" data-toc-text="1.8" id="cellxgenedp-18">cellxgenedp 1.8<a class="anchor" aria-label="anchor" href="#cellxgenedp-18"></a></h2>
-<ul><li>(v 1.7.2) Add vignette ‘Case studies’, include identifying dataset authors and using ontolgies to identify datasets</li>
-<li>(v 1.7.1) Update vignette section on dataset visualization to accomodate changes in the ‘Discover’ API. <a href="https://github.com/mtmorgan/cellxgenedp/issues/15" class="external-link uri">https://github.com/mtmorgan/cellxgenedp/issues/15</a>
-</li>
+<p>SIGNIFICANT USER-VISIBLE CHANGES</p>
+<ul><li><p>(v 1.7.2) Add vignette ‘Case studies’, include identifying dataset authors and using ontolgies to identify datasets</p></li>
+<li><p>(v 1.7.1) Update vignette section on dataset visualization to</p></li>
+</ul><p>BUG FIXES</p>
+<ul><li>(v 1.7.3) Use all collections, datasets, files to determine available columns</li>
 </ul></div>
     <div class="section level2">
 <h2 class="pkg-version" data-toc-text="1.6" id="cellxgenedp-16">cellxgenedp 1.6<a class="anchor" aria-label="anchor" href="#cellxgenedp-16"></a></h2>
+<p>SIGNIFICANT USER-VISIBLE CHANGES</p>
+<ul><li>(v 1.6.1) Update vignette section on dataset visualization to accomodate changes in the ‘Discover’ API. <a href="https://github.com/mtmorgan/cellxgenedp/issues/15" class="external-link uri">https://github.com/mtmorgan/cellxgenedp/issues/15</a>
+</li>
+</ul></div>
+    <div class="section level2">
+<h2 class="pkg-version" data-toc-text="1.6" id="cellxgenedp-16-1">cellxgenedp 1.6<a class="anchor" aria-label="anchor" href="#cellxgenedp-16-1"></a></h2>
 <ul><li>(v 1.5.2) use CELLxGENE ‘Discover’ API, changing column names of some return values. See ‘API changes’ of the ‘Discover and download datasets…’ vignette.</li>
+</ul><p>BUG FIXES</p>
+<ul><li>(v 1.6.2) Use all collections, datasets, and files when identifying available columns.</li>
 </ul></div>
     <div class="section level2">
 <h2 class="pkg-version" data-toc-text="1.4" id="cellxgenedp-14">cellxgenedp 1.4<a class="anchor" aria-label="anchor" href="#cellxgenedp-14"></a></h2>
diff --git a/pkgdown.yml b/pkgdown.yml
index 373f246..c4281ff 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -1,10 +1,10 @@
-pandoc: 2.19.2
+pandoc: 3.1.11
 pkgdown: 2.0.7
 pkgdown_sha: ~
 articles:
   a_using_cellxgenedp: a_using_cellxgenedp.html
   b_case_studies: b_case_studies.html
-last_built: 2024-01-18T20:19Z
+last_built: 2024-04-01T18:03Z
 urls:
   reference: https://mtmorgan.github.io/cellxgenedp/reference
   article: https://mtmorgan.github.io/cellxgenedp/articles
diff --git a/reference/cxg.html b/reference/cxg.html
index 7cf31ab..398c1b1 100644
--- a/reference/cxg.html
+++ b/reference/cxg.html
@@ -14,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">cellxgenedp</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.2</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.3</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/db.html b/reference/db.html
index e5ac5a3..e58543b 100644
--- a/reference/db.html
+++ b/reference/db.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">cellxgenedp</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.2</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.3</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -91,9 +91,9 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">db</span><span class="op">(</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> cellxgene_db</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> number of collections(): 183</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> number of datasets(): 1179</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> number of files(): 2338</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> number of collections(): 198</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> number of datasets(): 1285</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> number of files(): 2538</span>
 <span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
diff --git a/reference/facets.html b/reference/facets.html
index 49d496b..88a1b6d 100644
--- a/reference/facets.html
+++ b/reference/facets.html
@@ -20,7 +20,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">cellxgenedp</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.2</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.3</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -145,13 +145,13 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span>   facet                       n</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                   <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> assay                      38</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> cell_type                 773</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> development_stage         232</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> disease                   103</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> cell_type                 842</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> development_stage         237</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> disease                   115</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> organism                    7</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">6</span> self_reported_ethnicity    32</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">6</span> self_reported_ethnicity    33</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">7</span> sex                         3</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">8</span> tissue                    378</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">8</span> tissue                    389</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## same as facets(, facets = "organism")</span></span></span>
 <span class="r-in"><span><span class="va">f</span> <span class="op">|&gt;</span></span></span>
@@ -159,8 +159,8 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 7 × 4</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   facet    label                 ontology_term_id     n</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                 <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> organism Homo sapiens          NCBITaxon:9606     866</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> organism Mus musculus          NCBITaxon:10090    276</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> organism Homo sapiens          NCBITaxon:9606     917</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> organism Mus musculus          NCBITaxon:10090    331</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> organism Callithrix jacchus    NCBITaxon:9483      28</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> organism Macaca mulatta        NCBITaxon:9544      19</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> organism Sus scrofa domesticus NCBITaxon:9825       3</span>
@@ -176,67 +176,67 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span>        <span class="fu">facets_filter</span><span class="op">(</span><span class="va">self_reported_ethnicity</span>, <span class="st">"label"</span>, <span class="st">"African American"</span><span class="op">)</span>,</span></span>
 <span class="r-in"><span>        <span class="fu">facets_filter</span><span class="op">(</span><span class="va">sex</span>, <span class="st">"label"</span>, <span class="st">"female"</span><span class="op">)</span></span></span>
 <span class="r-in"><span>    <span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 52 × 31</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 53 × 32</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    dataset_id   dataset_version_id collection_id donor_id assay  batch_condition</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>        <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>         <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>         </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 94c41723-b2… 4a9bcef2-02db-49f… f17b9205-f61… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 3de0ad6d-43… 6934232e-4db4-423… 625f6bf4-2f3… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> de985818-28… 64f14a2b-d754-4bc… c9706a92-0e5… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0b4a15a7-4e… 6616739c-0b4a-4a4… a98b828a-622… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 3c361813-5d… 2e0b82ee-5320-437… e1fa9900-3fc… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 32b9bdce-24… 04019af8-aaf3-446… bcb61471-2a4… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0b75c598-08… 6568e80d-b8d8-4a5… bcb61471-2a4… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 07854d9c-53… bf5607d5-82c3-46f… bcb61471-2a4… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> e40c6272-af… 23d7646e-5ed0-467… a48f5033-343… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> d6dfdef1-40… 5a2b8d31-f043-48e… a48f5033-343… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 42 more rows</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 25 more variables: cell_count &lt;int&gt;, cell_type &lt;list&gt;, citation &lt;chr&gt;,</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   development_stage &lt;list&gt;, disease &lt;list&gt;, embeddings &lt;list&gt;,</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   explorer_url &lt;chr&gt;, feature_biotype &lt;list&gt;, feature_count &lt;int&gt;,</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   feature_reference &lt;list&gt;, is_primary_data &lt;list&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> f64e1be1-de… 76e2eefc-ebb2-4dc… 62e8f058-9c3… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> e9175006-89… 4e0351ae-7c33-45e… 62e8f058-9c3… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> d4cfefa0-3a… 4cda4640-5264-4a8… 62e8f058-9c3… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> d224c8e0-c2… 0c37b06d-c369-424… 62e8f058-9c3… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> a6858c10-c5… 53aa3c39-8989-45f… 62e8f058-9c3… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 576f193c-75… 7a30310a-2239-4d8… 62e8f058-9c3… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 486486d4-94… d4fd8c0b-c9a8-4ed… 62e8f058-9c3… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> e47c65a8-7d… 71b9ecfc-ed34-487… 4195ab4c-20b… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> c8d40d53-38… 071c5094-dd60-424… 4195ab4c-20b… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> c45f05b3-aa… e269dc32-c022-407… 4195ab4c-20b… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 43 more rows</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 26 more variables: cell_count &lt;int&gt;, cell_type &lt;list&gt;, citation &lt;chr&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   default_embedding &lt;chr&gt;, development_stage &lt;list&gt;, disease &lt;list&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   embeddings &lt;list&gt;, explorer_url &lt;chr&gt;, feature_biotype &lt;list&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   feature_count &lt;int&gt;, feature_reference &lt;list&gt;, is_primary_data &lt;list&gt;,</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   mean_genes_per_cell &lt;dbl&gt;, organism &lt;list&gt;, primary_cell_count &lt;int&gt;,</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   raw_data_location &lt;chr&gt;, schema_version &lt;chr&gt;, …</span></span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## datasets with non-European, known ethnicity</span></span></span>
 <span class="r-in"><span><span class="fu">facets</span><span class="op">(</span><span class="va">db</span>, <span class="st">"self_reported_ethnicity"</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 32 × 4</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 33 × 4</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    facet                   label                          ontology_term_id     n</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> self_reported_ethnicity European                       HANCESTRO:0005     505</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> self_reported_ethnicity unknown                        unknown            411</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> self_reported_ethnicity na                             na                 320</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> self_reported_ethnicity Asian                          HANCESTRO:0008     141</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> self_reported_ethnicity African American               HANCESTRO:0568      61</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> self_reported_ethnicity Hispanic or Latin American     HANCESTRO:0014      54</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> self_reported_ethnicity European                       HANCESTRO:0005     544</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> self_reported_ethnicity unknown                        unknown            435</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> self_reported_ethnicity na                             na                 375</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> self_reported_ethnicity Asian                          HANCESTRO:0008     143</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> self_reported_ethnicity Hispanic or Latin American     HANCESTRO:0014      63</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> self_reported_ethnicity African American               HANCESTRO:0568      62</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> self_reported_ethnicity Native American,Hispanic or L… HANCESTRO:0013,…    50</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> self_reported_ethnicity African American or Afro-Cari… HANCESTRO:0016      32</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> self_reported_ethnicity Greater Middle Eastern  (Midd… HANCESTRO:0015      22</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> self_reported_ethnicity South Asian                    HANCESTRO:0006      11</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 22 more rows</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> self_reported_ethnicity African                        HANCESTRO:0010      19</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 23 more rows</span></span>
 <span class="r-in"><span><span class="va">ds</span> <span class="op">|&gt;</span></span></span>
 <span class="r-in"><span>    <span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span></span></span>
 <span class="r-in"><span>        <span class="op">!</span><span class="fu">facets_filter</span><span class="op">(</span></span></span>
 <span class="r-in"><span>            <span class="va">self_reported_ethnicity</span>, <span class="st">"label"</span>, <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"European"</span>, <span class="st">"na"</span>, <span class="st">"unknown"</span><span class="op">)</span></span></span>
 <span class="r-in"><span>        <span class="op">)</span></span></span>
 <span class="r-in"><span>    <span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 25 × 31</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 25 × 32</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    dataset_id   dataset_version_id collection_id donor_id assay  batch_condition</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>        <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>         <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>         </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> e6a11140-25… 4866a804-37eb-436… e5f58829-1a6… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 6ec405bb-47… c524a1cb-e823-478… e5f58829-1a6… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2ba40233-85… a1e426d5-f575-445… e5f58829-1a6… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2423ce2c-31… 80e4bc4f-e0a9-467… e5f58829-1a6… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2adb1f8a-a6… 1b7484e3-83a0-47f… 38833785-fac… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> be884a28-0e… 7dd2aaf8-1714-49b… 10bf5c50-8d8… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> c8f83821-a2… 10ecac59-8895-492… 9d63fcf1-5ca… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> c05e6940-72… 80a4eb91-dab2-40d… 9d63fcf1-5ca… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 894573ad-49… e385cf86-3c0b-422… 9d63fcf1-5ca… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 84242d25-f6… 7ce8fb90-86fa-4ea… 9d63fcf1-5ca… <span style="color: #949494;">&lt;list&gt;</span>   <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> e6a11140-25… 9227d155-6f2d-453… e5f58829-1a6… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 6ec405bb-47… 2380b77b-018f-461… e5f58829-1a6… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2ba40233-85… 2e69ce01-f71b-4a6… e5f58829-1a6… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2423ce2c-31… 847371ba-5d70-441… e5f58829-1a6… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> c45f05b3-aa… e269dc32-c022-407… 4195ab4c-20b… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 87183784-5b… e1d241a7-cfdf-4a6… 4195ab4c-20b… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 6e96d93c-de… 5513f0bc-0553-426… 4195ab4c-20b… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 31b49393-44… 7d28dc15-7665-4a3… 4195ab4c-20b… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2d3e3c41-34… 5a4ce609-89cb-41d… 4195ab4c-20b… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2adb1f8a-a6… 851fdc42-fd3b-4fb… 38833785-fac… <span style="color: #949494;">&lt;chr&gt;</span>    <span style="color: #949494;">&lt;list&gt;</span> <span style="color: #949494;">&lt;lgl [1]&gt;</span>      </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 15 more rows</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 25 more variables: cell_count &lt;int&gt;, cell_type &lt;list&gt;, citation &lt;chr&gt;,</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   development_stage &lt;list&gt;, disease &lt;list&gt;, embeddings &lt;list&gt;,</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   explorer_url &lt;chr&gt;, feature_biotype &lt;list&gt;, feature_count &lt;int&gt;,</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   feature_reference &lt;list&gt;, is_primary_data &lt;list&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 26 more variables: cell_count &lt;int&gt;, cell_type &lt;list&gt;, citation &lt;chr&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   default_embedding &lt;chr&gt;, development_stage &lt;list&gt;, disease &lt;list&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   embeddings &lt;list&gt;, explorer_url &lt;chr&gt;, feature_biotype &lt;list&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   feature_count &lt;int&gt;, feature_reference &lt;list&gt;, is_primary_data &lt;list&gt;,</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   mean_genes_per_cell &lt;dbl&gt;, organism &lt;list&gt;, primary_cell_count &lt;int&gt;,</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   raw_data_location &lt;chr&gt;, schema_version &lt;chr&gt;, …</span></span>
 <span class="r-in"><span></span></span>
diff --git a/reference/index.html b/reference/index.html
index 28459de..0e3a718 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">cellxgenedp</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.2</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.3</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/query.html b/reference/query.html
index 4da0289..5a87eab 100644
--- a/reference/query.html
+++ b/reference/query.html
@@ -18,7 +18,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">cellxgenedp</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.2</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.3</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -145,20 +145,20 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">db</span> <span class="op">&lt;-</span> <span class="fu"><a href="db.html">db</a></span><span class="op">(</span><span class="op">)</span></span></span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="fu">collections</span><span class="op">(</span><span class="va">db</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 183 × 18</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 198 × 18</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    collection_id    collection_version_id collection_url consortia contact_email</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                 <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>        </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> ceb895f4-ff9f-4… ee098b5a-4f33-473b-b… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    panagiotis.r…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> af893e86-8e9f-4… 768170a6-c590-4900-a… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    ruichen@bcm.…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 1d1c7275-476a-4… 609becde-c797-41bb-8… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    wey334@g.har…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 1b014f39-f202-4… 1d88cb46-6e84-4b5b-b… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> kimberly.ald…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 48d354f5-a5ca-4… 2862daa3-c933-43c8-9… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    Nathan.Salom…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 43d4bb39-21af-4… 78360f02-1acc-415c-a… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> raymond.cho@…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> f7cecffa-00b4-4… 43224f82-db2a-443c-9… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    st9@sanger.a…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> f17b9205-f61f-4… 21ff4724-95e2-491b-8… https://cellx… <span style="color: #949494;">&lt;list&gt;</span>    genevieve.ko…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 64b24fda-6591-4… e414854b-2666-4977-9… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> magness@med.…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 48259aa8-f168-4… 44601b80-bd11-49d8-a… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> wtk22@cam.ac…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 173 more rows</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 59c9ecfe-c47d-4… 8db59637-4b42-4195-b… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> twc@stanford…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> a18474f4-ff1e-4… e1078e5b-da88-49d8-b… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> kpn2114@colu…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> f5af7a2f-ab4c-4… cb80d978-a1a2-4696-8… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> Yanling_Liao…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> aee9c366-f2fb-4… 62fc92b9-92f9-4f6f-9… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> kjensen@tgen…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> c26ca66a-63ea-4… 9b5f598e-b5d6-4d83-a… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> semil.choksi…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> e5f58829-1a66-4… 519f5ac5-1f84-4b48-9… https://cellx… <span style="color: #949494;">&lt;chr [2]&gt;</span> angela.pisco…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> b52eb423-5d0d-4… e75822ca-72d5-4d7f-a… https://cellx… <span style="color: #949494;">&lt;chr [2]&gt;</span> st9@sanger.a…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> e3aa612b-0d7d-4… 8bfe4964-eab1-4ae8-b… https://cellx… <span style="color: #949494;">&lt;chr [1]&gt;</span> hongkuiz@all…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 1b014f39-f202-4… 8b7765f4-c81a-46fe-a… https://cellx… <span style="color: #949494;">&lt;lgl [1]&gt;</span> kimberly.ald…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 48d354f5-a5ca-4… be9483df-dbbd-421f-b… https://cellx… <span style="color: #949494;">&lt;chr [1]&gt;</span> Nathan.Salom…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 188 more rows</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 13 more variables: contact_name &lt;chr&gt;, curator_name &lt;chr&gt;,</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   description &lt;chr&gt;, doi &lt;chr&gt;, links &lt;list&gt;, name &lt;chr&gt;,</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   publisher_metadata &lt;list&gt;, revising_in &lt;lgl&gt;, revision_of &lt;lgl&gt;,</span></span>
@@ -166,62 +166,63 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="fu">collections</span><span class="op">(</span><span class="va">db</span><span class="op">)</span> <span class="op">|&gt;</span></span></span>
 <span class="r-in"><span>    <span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://pillar.r-lib.org/reference/glimpse.html" class="external-link">glimpse</a></span><span class="op">(</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Rows: 183</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Rows: 198</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Columns: 18</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ collection_id         <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "ceb895f4-ff9f-403a-b7c3-187a9657ac2c", "af893e8…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ collection_version_id <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "ee098b5a-4f33-473b-b52a-0451de1f80ae", "768170a…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ collection_url        <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "https://cellxgene.cziscience.com/collections/ce…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ consortia             <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> ["BRAIN Initiative"], ["CZI Single-Cell Biology…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ contact_email         <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "panagiotis.roussos@mssm.edu", "ruichen@bcm.edu"…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ contact_name          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "Panos Roussos", "Rui Chen", "Wenjun Yan", "Kimb…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ curator_name          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "Corinn Sophia Small", "Jennifer Yu-Sheng Chien"…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ description           <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "We simultaneously profiled gene expression and …</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ doi                   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "10.1126/sciadv.adg3754", "10.1016/j.xgen.2023.1…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ links                 <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> [["SCP1859", "OTHER", "https://singlecell.broad…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ name                  <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "Multi-omic profiling of the developing human ce…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ publisher_metadata    <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> [[["Zhu", "Kaiyi"], ["Bendl", "Jaroslav"], ["Ra…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ collection_id         <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "59c9ecfe-c47d-4a6a-bab0-895cc0c1942b", "a18474f…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ collection_version_id <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "8db59637-4b42-4195-bb8b-054cf7d03099", "e1078e5…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ collection_url        <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "https://cellxgene.cziscience.com/collections/59…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ consortia             <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> NA, NA, NA, NA, NA, &lt;"CZ Biohub", "CZI Single-C…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ contact_email         <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "twc@stanford.edu", "kpn2114@columbia.edu", "Yan…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ contact_name          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "Tony Wyss-Coray", "Karol Nowicki-Osuch", "Yanli…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ curator_name          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "Corinn Sophia Small", "Jason Hilton", "Jason Hi…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ description           <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "Although SARS-CoV-2 primarily targets the respi…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ doi                   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "10.1038/s41586-021-03710-0", "10.1158/2159-8290…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ links                 <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> [["GSE159812", "RAW_DATA", "https://www.ncbi.nl…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ name                  <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "Dysregulation of brain and choroid plexus cell …</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ publisher_metadata    <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> [[["Yang", "Andrew C."], ["Kern", "Fabian"], ["…</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $ revising_in           <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $ revision_of           <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $ visibility            <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "PUBLIC", "PUBLIC", "PUBLIC", "PUBLIC", "PUBLIC"…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ created_at            <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2023-12-12, 2023-12-11, 2023-12-12, 2023-12-11,…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ published_at          <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2023-08-28, 2021-10-29, 2023-02-10, 2023-08-31,…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ revised_at            <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2023-12-13, 2023-12-13, 2023-12-13, 2023-12-13,…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ created_at            <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2024-03-19, 2024-03-19, 2024-03-20, 2024-03-19,…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ published_at          <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2024-02-07, 2023-03-15, 2024-02-15, 2024-01-16,…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ revised_at            <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2024-03-22, 2024-03-22, 2024-03-22, 2024-03-22,…</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="fu">datasets</span><span class="op">(</span><span class="va">db</span><span class="op">)</span> <span class="op">|&gt;</span></span></span>
 <span class="r-in"><span>    <span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://pillar.r-lib.org/reference/glimpse.html" class="external-link">glimpse</a></span><span class="op">(</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Rows: 1,179</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Columns: 31</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ dataset_id                 <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "53ce2631-3646-4172-bbd9-38b0a44d8214", "1d…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ dataset_version_id         <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "2f17c183-388a-4c08-9adb-a146833e57ab", "94…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ collection_id              <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "ceb895f4-ff9f-403a-b7c3-187a9657ac2c", "ce…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ donor_id                   <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> ["LaFet1", "LaFet2", "EaFet2", "EaFet1", "…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ assay                      <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> [["10x multiome", "EFO:0030059"]], [["10x …</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ batch_condition            <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> ["donor_id", "batch"], ["donor_id", "batch…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ cell_count                 <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> 45549, 45549, 18011, 11617, 53040, 56507, 7…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ cell_type                  <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> [["astrocyte", "CL:0000127"], ["caudal gan…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ citation                   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "Publication: https://doi.org/10.1126/sciad…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ development_stage          <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> [["14-year-old human stage", "HsapDv:00001…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ disease                    <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> [["normal", "PATO:0000461"]], [["normal", …</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ embeddings                 <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> ["X_joint_wnn_umap", "X_umap"], ["X_joint_…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ explorer_url               <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "https://cellxgene.cziscience.com/e/53ce263…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ feature_biotype            <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> ["gene"], ["gene"], ["gene"], ["gene"], ["…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ feature_count              <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> 30113, 19492, 30933, 30933, 30933, 30933, 3…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ feature_reference          <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> ["NCBITaxon:9606"], ["NCBITaxon:9606"], ["…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ is_primary_data            <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> [TRUE], [TRUE], [FALSE], [TRUE], [FALSE], …</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ mean_genes_per_cell        <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> 1886.041, 4865.284, 2028.297, 4518.387, 222…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Rows: 1,285</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Columns: 32</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ dataset_id                 <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "595c9010-99ec-462d-b6a1-2b2fe5407871", "2f…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ dataset_version_id         <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "b4645848-e3d8-4920-bb4e-7aa294725177", "3b…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ collection_id              <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "59c9ecfe-c47d-4a6a-bab0-895cc0c1942b", "59…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ donor_id                   <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> &lt;"15_12", "15_17", "16_18", "16_23", "16_2…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ assay                      <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> [["10x 3' v3", "EFO:0009922"]], [["10x 3' …</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ batch_condition            <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, "b…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ cell_count                 <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> 27092, 38217, 3951, 146583, 5754, 3282, 293…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ cell_type                  <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> [["cerebral cortex endothelial cell", "CL:…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ citation                   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "Publication: https://doi.org/10.1038/s4158…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ default_embedding          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "X_umap", "X_umap", NA, NA, NA, NA, NA, NA,…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ development_stage          <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> [["55-year-old human stage", "HsapDv:00001…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ disease                    <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> [["COVID-19", "MONDO:0100096"], ["aspirati…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ embeddings                 <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> &lt;"X_pca", "X_tsne", "X_umap"&gt;, &lt;"X_pca", "…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ explorer_url               <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "https://cellxgene.cziscience.com/e/595c901…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ feature_biotype            <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> "gene", "gene", "gene", "gene", "gene", "g…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ feature_count              <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> 36398, 36398, 33145, 33145, 33145, 33145, 2…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ feature_reference          <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> "NCBITaxon:9606", "NCBITaxon:9606", "NCBIT…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ is_primary_data            <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> TRUE, TRUE, FALSE, FALSE, FALSE, FALSE, &lt;T…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ mean_genes_per_cell        <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> 1520.2394, 2091.8612, 1361.9355, 1830.6961,…</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $ organism                   <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> [["Homo sapiens", "NCBITaxon:9606"]], [["H…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ primary_cell_count         <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> 45549, 45549, 0, 11617, 0, 0, 0, 244474, 0,…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ primary_cell_count         <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> 27092, 38217, 0, 0, 0, 0, 279586, 0, 0, 0, …</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $ raw_data_location          <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "raw.X", "raw.X", "raw.X", "raw.X", "raw.X"…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ schema_version             <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "4.0.0", "4.0.0", "4.0.0", "4.0.0", "4.0.0"…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ self_reported_ethnicity    <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> [["unknown", "unknown"]], [["unknown", "un…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ schema_version             <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "5.0.0", "5.0.0", "5.0.0", "5.0.0", "5.0.0"…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ self_reported_ethnicity    <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> [["European", "HANCESTRO:0005"]], [["Europ…</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $ sex                        <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> [["female", "PATO:0000383"], ["male", "PAT…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ suspension_type            <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> ["nucleus"], ["nucleus"], ["nucleus"], ["n…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ tissue                     <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> [["cortical plate", "UBERON:0005343", "tis…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ title                      <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "10x scRNA-seq from human cortex", "10x scA…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ suspension_type            <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> "nucleus", "nucleus", "cell", "cell", "cel…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ tissue                     <span style="color: #949494; font-style: italic;">&lt;list&gt;</span> [["choroid plexus", "UBERON:0001886", "tis…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ title                      <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "A total of 27,092 droplet-based single-nuc…</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $ tombstone                  <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, F…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ x_approximate_distribution <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ published_at               <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2023-08-28, 2023-08-28, 2021-10-29, 2021-1…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ revised_at                 <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2023-12-13, 2023-12-13, 2023-12-13, 2023-1…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ x_approximate_distribution <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, "CO…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ published_at               <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2024-02-07, 2024-02-07, 2023-03-15, 2023-0…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ revised_at                 <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2024-03-22, 2024-03-22, 2024-03-22, 2024-0…</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># \donttest{</span></span></span>
 <span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/interactive.html" class="external-link">interactive</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
@@ -233,12 +234,12 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="co"># }</span></span></span>
 <span class="r-in"><span><span class="fu">files</span><span class="op">(</span><span class="va">db</span><span class="op">)</span> <span class="op">|&gt;</span></span></span>
 <span class="r-in"><span>    <span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://pillar.r-lib.org/reference/glimpse.html" class="external-link">glimpse</a></span><span class="op">(</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Rows: 2,338</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Rows: 2,538</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Columns: 4</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ dataset_id <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "53ce2631-3646-4172-bbd9-38b0a44d8214", "53ce2631-3646-4172…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ filesize   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> 406108808, 399752425, 906795740, 1060800682, 1071401902, 14…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ dataset_id <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "595c9010-99ec-462d-b6a1-2b2fe5407871", "595c9010-99ec-462d…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ filesize   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> 333391557, 348066008, 630668977, 683935787, 31737910, 26350…</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $ filetype   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "H5AD", "RDS", "H5AD", "RDS", "H5AD", "RDS", "H5AD", "RDS",…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ url        <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "https://datasets.cellxgene.cziscience.com/2f17c183-388a-4c…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ url        <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "https://datasets.cellxgene.cziscience.com/b4645848-e3d8-49…</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span></span></span>
 <span class="r-in"><span><span class="fu">files</span><span class="op">(</span><span class="va">db</span><span class="op">)</span> <span class="op">|&gt;</span></span></span>
@@ -252,16 +253,16 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 5 × 2</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   link_type       n</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> DATA_SOURCE    35</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> LAB_WEBSITE    38</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> OTHER         333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> PROTOCOL       44</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> RAW_DATA      275</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> DATA_SOURCE    36</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> LAB_WEBSITE    42</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> OTHER         351</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> PROTOCOL       45</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> RAW_DATA      302</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## authors per collection</span></span></span>
 <span class="r-in"><span><span class="fu">authors</span><span class="op">(</span><span class="op">)</span> <span class="op">|&gt;</span></span></span>
 <span class="r-in"><span>    <span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/count.html" class="external-link">count</a></span><span class="op">(</span><span class="va">collection_id</span>, sort <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 173 × 2</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 189 × 2</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    collection_id                            n</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                                <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> e5f58829-1a66-40b5-a624-9046778e74f5   221</span>
@@ -274,20 +275,20 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 1ca90a2d-2943-483d-b678-b809bf464c30    94</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0a839c4b-10d0-4d64-9272-684c49a2c8ba    90</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> ae1420fe-6630-46ed-8b3d-cc6056a66467    83</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 163 more rows</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 179 more rows</span></span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="fu">publisher_metadata</span><span class="op">(</span><span class="op">)</span> <span class="op">|&gt;</span></span></span>
 <span class="r-in"><span>    <span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://pillar.r-lib.org/reference/glimpse.html" class="external-link">glimpse</a></span><span class="op">(</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Rows: 173</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Rows: 189</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Columns: 9</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ collection_id   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "ceb895f4-ff9f-403a-b7c3-187a9657ac2c", "af893e86-8e9f…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ name            <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "Multi-omic profiling of the developing human cerebral…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ collection_id   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "59c9ecfe-c47d-4a6a-bab0-895cc0c1942b", "a18474f4-ff1e…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ name            <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "Dysregulation of brain and choroid plexus cell types …</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $ is_preprint     <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ journal         <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "Sci. Adv.", "Cell Genomics", "Sci Rep", "Nat Neurosci…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ published_at    <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2023-10-13, 2023-06-01, 2020-06-17, 2021-08-01, 2021-…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ published_year  <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> 2023, 2023, 2020, 2021, 2021, 2018, 2022, 2021, 2022, …</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ published_month <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> 10, 6, 6, 8, 3, 10, 12, 7, 1, 4, 12, 6, 9, 8, 10, 2, 1…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> $ published_day   <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> 13, 1, 17, 1, 12, 1, 1, 1, 1, 21, 1, 15, 6, 1, 1, 1, 1…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ journal         <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "Nature", "Cancer Discovery", "Front. Immunol.", "Acta…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ published_at    <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2021-07-22, 2023-03-17, 2023-09-20, 2023-09-01, 2022-…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ published_year  <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> 2021, 2023, 2023, 2023, 2022, 2020, 2021, 2021, 2021, …</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ published_month <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> 7, 3, 9, 9, 5, 12, 6, 8, 3, 10, 12, 10, 9, 12, 12, 3, …</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ published_day   <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> 22, 17, 20, 1, 13, 17, 1, 1, 12, 7, 1, 14, 1, 1, 1, 20…</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $ doi             <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…</span>
 <span class="r-in"><span></span></span>
 </code></pre></div>
diff --git a/search.json b/search.json
index dad2cfe..5f3b9cb 100644
--- a/search.json
+++ b/search.json
@@ -1 +1 @@
-[{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"installation-and-use","dir":"Articles","previous_headings":"","what":"Installation and use","title":"Discovery and retrieval","text":"package available Bioconductor version 3.15 later. following code installs cellxgenedp Bioconductor Alternatively, install ‘development’ version GitHub (see GitHub.io current documentation) also install additional packages required vignette, use Load package current R session. make extensive use dplyr packages, end vignette use SingleCellExperiment zellkonverter, load well.","code":"if (!\"BiocManager\" %in% rownames(installed.packages()))     install.packages(\"BiocManager\", repos = \"https://CRAN.R-project.org\") BiocManager::install(\"cellxgenedp\") if (!\"remotes\" %in% rownames(installed.packages()))     install.packages(\"remotes\", repos = \"https://CRAN.R-project.org\") remotes::install_github(\"mtmorgan/cellxgenedp\") pkgs <- c(\"tidyr\", \"zellkonverter\", \"SingleCellExperiment\", \"HDF5Array\") required_pkgs <- pkgs[!pkgs %in% rownames(installed.packages())] BiocManager::install(required_pkgs) library(zellkonverter) library(SingleCellExperiment) # load early to avoid masking dplyr::count() library(dplyr) library(cellxgenedp)"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"cxg-provides-a-shiny-interface","dir":"Articles","previous_headings":"","what":"cxg() Provides a ‘shiny’ interface","title":"Discovery and retrieval","text":"following sections outline use cellxgenedp package R script; functionality also available cxg() shiny application, providing easy way identify, download, visualize one several datasets. Start app choose project first tab, dataset visualization, one datasets download!","code":"cxg()"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"collections-datasets-and-files","dir":"Articles","previous_headings":"","what":"Collections, datasets and files","title":"Discovery and retrieval","text":"Retrieve metadata resources available cellxgene data portal using db(): Printing db object provides brief overview available data, well hints, form functions like collections(), exploration. portal organizes data hierarchically, ‘collections’ (research studies, approximately), ‘datasets’, ‘files’. Discover data using corresponding functions. resources unique primary identifier (e.g., file_id) well identifier describing relationship resource components database (e.g., dataset_id). identifiers can used ‘join’ information across tables.","code":"db <- db() db ## cellxgene_db ## number of collections(): 183 ## number of datasets(): 1179 ## number of files(): 2338 collections(db) ## # A tibble: 183 × 18 ##    collection_id    collection_version_id collection_url consortia contact_email ##    <chr>            <chr>                 <chr>          <list>    <chr>         ##  1 ceb895f4-ff9f-4… ee098b5a-4f33-473b-b… https://cellx… <list>    panagiotis.r… ##  2 af893e86-8e9f-4… 768170a6-c590-4900-a… https://cellx… <list>    ruichen@bcm.… ##  3 1d1c7275-476a-4… 609becde-c797-41bb-8… https://cellx… <list>    wey334@g.har… ##  4 1b014f39-f202-4… 1d88cb46-6e84-4b5b-b… https://cellx… <lgl [1]> kimberly.ald… ##  5 48d354f5-a5ca-4… 2862daa3-c933-43c8-9… https://cellx… <list>    Nathan.Salom… ##  6 43d4bb39-21af-4… 78360f02-1acc-415c-a… https://cellx… <lgl [1]> raymond.cho@… ##  7 f7cecffa-00b4-4… 43224f82-db2a-443c-9… https://cellx… <list>    st9@sanger.a… ##  8 f17b9205-f61f-4… 21ff4724-95e2-491b-8… https://cellx… <list>    genevieve.ko… ##  9 64b24fda-6591-4… e414854b-2666-4977-9… https://cellx… <lgl [1]> magness@med.… ## 10 48259aa8-f168-4… 44601b80-bd11-49d8-a… https://cellx… <lgl [1]> wtk22@cam.ac… ## # ℹ 173 more rows ## # ℹ 13 more variables: contact_name <chr>, curator_name <chr>, ## #   description <chr>, doi <chr>, links <list>, name <chr>, ## #   publisher_metadata <list>, revising_in <lgl>, revision_of <lgl>, ## #   visibility <chr>, created_at <date>, published_at <date>, revised_at <date> datasets(db) ## # A tibble: 1,179 × 31 ##    dataset_id   dataset_version_id collection_id donor_id assay  batch_condition ##    <chr>        <chr>              <chr>         <list>   <list> <list>          ##  1 53ce2631-36… 2f17c183-388a-4c0… ceb895f4-ff9… <list>   <list> <list [2]>      ##  2 1d4128f6-c2… 94762ee1-9f9f-49e… ceb895f4-ff9… <list>   <list> <list [2]>      ##  3 ed419b4e-db… 758b30a8-5fb0-46c… af893e86-8e9… <list>   <list> <lgl [1]>       ##  4 aad97cb5-f3… d6966985-89f9-485… af893e86-8e9… <list>   <list> <lgl [1]>       ##  5 8f10185b-e0… 63d7a3a3-9691-41d… af893e86-8e9… <list>   <list> <lgl [1]>       ##  6 359f7af4-87… 0f461193-282f-443… af893e86-8e9… <list>   <list> <lgl [1]>       ##  7 11ef37ee-21… 74253a67-927c-4cd… af893e86-8e9… <list>   <list> <lgl [1]>       ##  8 0129dbd9-a7… a970179d-2e9e-4d2… af893e86-8e9… <list>   <list> <lgl [1]>       ##  9 00e5dedd-b9… 94c0e74c-b269-4ce… af893e86-8e9… <list>   <list> <lgl [1]>       ## 10 d319af7f-be… 3c80a5bb-8c89-433… 1d1c7275-476… <list>   <list> <lgl [1]>       ## # ℹ 1,169 more rows ## # ℹ 25 more variables: cell_count <int>, cell_type <list>, citation <chr>, ## #   development_stage <list>, disease <list>, embeddings <list>, ## #   explorer_url <chr>, feature_biotype <list>, feature_count <int>, ## #   feature_reference <list>, is_primary_data <list>, ## #   mean_genes_per_cell <dbl>, organism <list>, primary_cell_count <int>, ## #   raw_data_location <chr>, schema_version <chr>, … files(db) ## # A tibble: 2,338 × 4 ##    dataset_id                             filesize filetype url                  ##    <chr>                                     <dbl> <chr>    <chr>                ##  1 53ce2631-3646-4172-bbd9-38b0a44d8214  406108808 H5AD     https://datasets.ce… ##  2 53ce2631-3646-4172-bbd9-38b0a44d8214  399752425 RDS      https://datasets.ce… ##  3 1d4128f6-c27b-40c4-af77-b1c7e2b694e7  906795740 H5AD     https://datasets.ce… ##  4 1d4128f6-c27b-40c4-af77-b1c7e2b694e7 1060800682 RDS      https://datasets.ce… ##  5 ed419b4e-db9b-40f1-8593-68fdf8dfb076 1071401902 H5AD     https://datasets.ce… ##  6 ed419b4e-db9b-40f1-8593-68fdf8dfb076 1419579253 RDS      https://datasets.ce… ##  7 aad97cb5-f375-45ef-ae9d-178e7f5d5180  785137201 H5AD     https://datasets.ce… ##  8 aad97cb5-f375-45ef-ae9d-178e7f5d5180 1025253758 RDS      https://datasets.ce… ##  9 8f10185b-e0b3-46a5-8706-7f1799225d79 3077438912 H5AD     https://datasets.ce… ## 10 8f10185b-e0b3-46a5-8706-7f1799225d79 4090930879 RDS      https://datasets.ce… ## # ℹ 2,328 more rows"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"using-dplyr-to-navigate-data","dir":"Articles","previous_headings":"Collections, datasets and files","what":"Using dplyr to navigate data","title":"Discovery and retrieval","text":"collection may several datasets, datasets may several files. instance, collection datasets can find collection joining collections() table. can take similar strategy identify datasets belonging collection","code":"collection_with_most_datasets <-     datasets(db) |>     count(collection_id, sort = TRUE) |>     slice(1) left_join(     collection_with_most_datasets |> select(collection_id),     collections(db),     by = \"collection_id\" ) |> glimpse() ## Rows: 1 ## Columns: 18 ## $ collection_id         <chr> \"283d65eb-dd53-496d-adb7-7570c7caa443\" ## $ collection_version_id <chr> \"4c16c611-00a9-42f9-a8c4-7b42daa226fe\" ## $ collection_url        <chr> \"https://cellxgene.cziscience.com/collections/28… ## $ consortia             <list> [\"BRAIN Initiative\", \"CZI Single-Cell Biology\"] ## $ contact_email         <chr> \"kimberly.siletti@ki.se\" ## $ contact_name          <chr> \"Kimberly Siletti\" ## $ curator_name          <chr> \"James Chaffer\" ## $ description           <chr> \"First draft atlas of human brain transcriptomic… ## $ doi                   <chr> \"10.1126/science.add7046\" ## $ links                 <list> [[\"\", \"RAW_DATA\", \"http://data.nemoarchive.org/b… ## $ name                  <chr> \"Human Brain Cell Atlas v1.0\" ## $ publisher_metadata    <list> [[[\"Siletti\", \"Kimberly\"], [\"Hodge\", \"Rebecca\"]… ## $ revising_in           <lgl> NA ## $ revision_of           <lgl> NA ## $ visibility            <chr> \"PUBLIC\" ## $ created_at            <date> 2023-12-12 ## $ published_at          <date> 2022-12-09 ## $ revised_at            <date> 2023-12-13 left_join(     collection_with_most_datasets |> select(collection_id),     datasets(db),     by = \"collection_id\" ) ## # A tibble: 138 × 31 ##    collection_id   dataset_id dataset_version_id donor_id assay  batch_condition ##    <chr>           <chr>      <chr>              <list>   <list> <list>          ##  1 283d65eb-dd53-… ff7d15fa-… 51e05270-1f00-452… <list>   <list> <list [1]>      ##  2 283d65eb-dd53-… fe1a73ab-… 4e124ecc-7885-465… <list>   <list> <list [1]>      ##  3 283d65eb-dd53-… fbf173f9-… 5a52f557-aeaf-4fc… <list>   <list> <list [1]>      ##  4 283d65eb-dd53-… fa554686-… 6606e9aa-e4c4-452… <list>   <list> <list [1]>      ##  5 283d65eb-dd53-… f9034091-… 8f5b1977-8317-447… <list>   <list> <list [1]>      ##  6 283d65eb-dd53-… f8dda921-… 1ad58833-956c-454… <list>   <list> <list [1]>      ##  7 283d65eb-dd53-… f7d003d4-… 4d002ac1-4671-490… <list>   <list> <list [1]>      ##  8 283d65eb-dd53-… f6d9f2ad-… 2102f4b8-c1fe-4ee… <list>   <list> <list [1]>      ##  9 283d65eb-dd53-… f5a04dff-… b92375fd-dafe-44c… <list>   <list> <list [1]>      ## 10 283d65eb-dd53-… f502c312-… b750310e-1abb-4c7… <list>   <list> <list [1]>      ## # ℹ 128 more rows ## # ℹ 25 more variables: cell_count <int>, cell_type <list>, citation <chr>, ## #   development_stage <list>, disease <list>, embeddings <list>, ## #   explorer_url <chr>, feature_biotype <list>, feature_count <int>, ## #   feature_reference <list>, is_primary_data <list>, ## #   mean_genes_per_cell <dbl>, organism <list>, primary_cell_count <int>, ## #   raw_data_location <chr>, schema_version <chr>, …"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"facets-provides-information-on-levels-present-in-specific-columns","dir":"Articles","previous_headings":"Collections, datasets and files","what":"facets() provides information on ‘levels’ present in specific columns","title":"Discovery and retrieval","text":"Notice columns ‘lists’ rather atomic vectors like ‘character’ ‘integer’. indicates least datasets one type assay, cell_type, etc. facets() function provides convenient way discovering possible levels column, e.g., assay, organism, self_reported_ethnicity, sex, number datasets label.","code":"datasets(db) |>     select(where(is.list)) ## # A tibble: 1,179 × 15 ##    donor_id    assay      batch_condition cell_type   development_stage disease ##    <list>      <list>     <list>          <list>      <list>            <list>  ##  1 <list [12]> <list [1]> <list [2]>      <list [13]> <list [10]>       <list>  ##  2 <list [12]> <list [1]> <list [2]>      <list [13]> <list [10]>       <list>  ##  3 <list [6]>  <list [1]> <lgl [1]>       <list [4]>  <list [5]>        <list>  ##  4 <list [6]>  <list [1]> <lgl [1]>       <list [1]>  <list [5]>        <list>  ##  5 <list [6]>  <list [1]> <lgl [1]>       <list [2]>  <list [5]>        <list>  ##  6 <list [6]>  <list [1]> <lgl [1]>       <list [1]>  <list [5]>        <list>  ##  7 <list [6]>  <list [1]> <lgl [1]>       <list [1]>  <list [5]>        <list>  ##  8 <list [6]>  <list [1]> <lgl [1]>       <list [6]>  <list [5]>        <list>  ##  9 <list [6]>  <list [1]> <lgl [1]>       <list [2]>  <list [5]>        <list>  ## 10 <list [7]>  <list [2]> <lgl [1]>       <list [1]>  <list [7]>        <list>  ## # ℹ 1,169 more rows ## # ℹ 9 more variables: embeddings <list>, feature_biotype <list>, ## #   feature_reference <list>, is_primary_data <list>, organism <list>, ## #   self_reported_ethnicity <list>, sex <list>, suspension_type <list>, ## #   tissue <list> facets(db, \"assay\") ## # A tibble: 38 × 4 ##    facet label                          ontology_term_id     n ##    <chr> <chr>                          <chr>            <int> ##  1 assay 10x 3' v3                      EFO:0009922        575 ##  2 assay 10x 3' v2                      EFO:0009899        254 ##  3 assay Slide-seqV2                    EFO:0030062        223 ##  4 assay Visium Spatial Gene Expression EFO:0010961        108 ##  5 assay 10x 5' v1                      EFO:0011025         81 ##  6 assay Smart-seq2                     EFO:0008931         63 ##  7 assay 10x multiome                   EFO:0030059         61 ##  8 assay 10x 5' v2                      EFO:0009900         23 ##  9 assay Drop-seq                       EFO:0008722         18 ## 10 assay sci-RNA-seq3                   EFO:0030028         15 ## # ℹ 28 more rows facets(db, \"self_reported_ethnicity\") ## # A tibble: 32 × 4 ##    facet                   label                          ontology_term_id     n ##    <chr>                   <chr>                          <chr>            <int> ##  1 self_reported_ethnicity European                       HANCESTRO:0005     505 ##  2 self_reported_ethnicity unknown                        unknown            411 ##  3 self_reported_ethnicity na                             na                 320 ##  4 self_reported_ethnicity Asian                          HANCESTRO:0008     141 ##  5 self_reported_ethnicity African American               HANCESTRO:0568      61 ##  6 self_reported_ethnicity Hispanic or Latin American     HANCESTRO:0014      54 ##  7 self_reported_ethnicity Native American,Hispanic or L… HANCESTRO:0013,…    50 ##  8 self_reported_ethnicity African American or Afro-Cari… HANCESTRO:0016      32 ##  9 self_reported_ethnicity Greater Middle Eastern  (Midd… HANCESTRO:0015      22 ## 10 self_reported_ethnicity South Asian                    HANCESTRO:0006      11 ## # ℹ 22 more rows facets(db, \"sex\") ## # A tibble: 3 × 4 ##   facet label   ontology_term_id     n ##   <chr> <chr>   <chr>            <int> ## 1 sex   male    PATO:0000384       915 ## 2 sex   female  PATO:0000383       689 ## 3 sex   unknown unknown            173"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"filtering-faceted-columns","dir":"Articles","previous_headings":"Collections, datasets and files","what":"Filtering faceted columns","title":"Discovery and retrieval","text":"Suppose interested finding datasets 10x 3’ v3 assay (ontology_term_id EFO:0009922) containing individuals African American ethnicity, female sex. Use facets_filter() utility function filter data sets needed Use nrow(african_american_female) find number datasets satisfying criteria. looks like cells sequenced (dataset may contain cells several ethnicities, well males individuals unknown gender, know actual number cells available without downloading files). Use left_join identify corresponding collections:","code":"african_american_female <-     datasets(db) |>     filter(         facets_filter(assay, \"ontology_term_id\", \"EFO:0009922\"),         facets_filter(self_reported_ethnicity, \"label\", \"African American\"),         facets_filter(sex, \"label\", \"female\")     ) african_american_female |>     summarise(total_cell_count = sum(cell_count)) ## # A tibble: 1 × 1 ##   total_cell_count ##              <int> ## 1          4320736 ## collections left_join(     african_american_female |> select(collection_id) |> distinct(),     collections(db),     by = \"collection_id\" ) ## # A tibble: 13 × 18 ##    collection_id    collection_version_id collection_url consortia contact_email ##    <chr>            <chr>                 <chr>          <list>    <chr>         ##  1 f17b9205-f61f-4… 21ff4724-95e2-491b-8… https://cellx… <list>    genevieve.ko… ##  2 625f6bf4-2f33-4… 0c0d607f-00b8-4f3d-8… https://cellx… <list>    a5wang@healt… ##  3 c9706a92-0e5f-4… bc627471-7137-4518-a… https://cellx… <list>    hnakshat@iup… ##  4 a98b828a-622a-4… cee0b899-009a-40ec-a… https://cellx… <list>    markusbi@med… ##  5 e1fa9900-3fc9-4… 6016258b-2d18-4ada-a… https://cellx… <lgl [1]> j.ma@yale.edu ##  6 bcb61471-2a44-4… 39fca0ca-2b0f-47b5-9… https://cellx… <list>    info@kpmp.org ##  7 72d37bc9-76cc-4… 3e396ffb-b0d8-4ce4-b… https://cellx… <list>    m.sepp@zmbh.… ##  8 b953c942-f5d8-4… 7727e578-1805-47c8-b… https://cellx… <lgl [1]> icobos@stanf… ##  9 62e8f058-9c37-4… addce074-53d2-4f21-9… https://cellx… <list>    chanj3@mskcc… ## 10 71f4bccf-53d4-4… 5a524bd4-231b-4941-a… https://cellx… <list>    kevinmbyrd@g… ## 11 4195ab4c-20bd-4… f7da9dd1-b0ec-401f-9… https://cellx… <list>    nnavin@mdand… ## 12 6b701826-37bb-4… 95ab05df-9716-4fc8-a… https://cellx… <list>    astreets@ber… ## 13 b9fc3d70-5a72-4… 6701e565-6dfe-4649-b… https://cellx… <list>    bruce.aronow… ## # ℹ 13 more variables: contact_name <chr>, curator_name <chr>, ## #   description <chr>, doi <chr>, links <list>, name <chr>, ## #   publisher_metadata <list>, revising_in <lgl>, revision_of <lgl>, ## #   visibility <chr>, created_at <date>, published_at <date>, revised_at <date>"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"publication-and-other-external-data","dir":"Articles","previous_headings":"Collections, datasets and files","what":"Publication and other external data","title":"Discovery and retrieval","text":"Many collections include publication information external data. information available return value collections(), helper function publisher_metadata(), authors(), links() may facilitate access. Suppose one interested publication “single-cell atlas healthy breast tissues reveals clinically relevant clusters breast epithelial cells”. Discover collections Use collection_id extract publisher metadata (including DOI available) author information Collections may links additional external data, case DOI two links RAW_DATA. Conversely, knowledge DOI, etc., can used discover details corresponding collection.","code":"title_of_interest <- paste(     \"A single-cell atlas of the healthy breast tissues reveals clinically\",     \"relevant clusters of breast epithelial cells\" ) collection_of_interest <-     collections(db) |>     dplyr::filter(startsWith(name, title_of_interest)) collection_of_interest |>     glimpse() ## Rows: 1 ## Columns: 18 ## $ collection_id         <chr> \"c9706a92-0e5f-46c1-96d8-20e42467f287\" ## $ collection_version_id <chr> \"bc627471-7137-4518-a593-2f679bac054e\" ## $ collection_url        <chr> \"https://cellxgene.cziscience.com/collections/c9… ## $ consortia             <list> [\"CZI Single-Cell Biology\"] ## $ contact_email         <chr> \"hnakshat@iupui.edu\" ## $ contact_name          <chr> \"Harikrishna Nakshatri\" ## $ curator_name          <chr> \"Jennifer Yu-Sheng Chien\" ## $ description           <chr> \"Single-cell RNA sequencing (scRNA-seq) is an ev… ## $ doi                   <chr> \"10.1016/j.xcrm.2021.100219\" ## $ links                 <list> [[\"\", \"RAW_DATA\", \"https://data.humancellatlas.o… ## $ name                  <chr> \"A single-cell atlas of the healthy breast tiss… ## $ publisher_metadata    <list> [[[\"Bhat-Nakshatri\", \"Poornima\"], [\"Gao\", \"Hongy… ## $ revising_in           <lgl> NA ## $ revision_of           <lgl> NA ## $ visibility            <chr> \"PUBLIC\" ## $ created_at            <date> 2023-12-12 ## $ published_at          <date> 2021-03-25 ## $ revised_at            <date> 2023-12-13 collection_id_of_interest <- pull(collection_of_interest, \"collection_id\") publisher_metadata(db) |>     filter(collection_id == collection_id_of_interest) |>     glimpse() ## Rows: 1 ## Columns: 9 ## $ collection_id   <chr> \"c9706a92-0e5f-46c1-96d8-20e42467f287\" ## $ name            <chr> \"A single-cell atlas of the healthy breast tissues rev… ## $ is_preprint     <lgl> FALSE ## $ journal         <chr> \"Cell Reports Medicine\" ## $ published_at    <date> 2021-03-01 ## $ published_year  <int> 2021 ## $ published_month <int> 3 ## $ published_day   <int> 1 ## $ doi             <chr> NA authors(db) |>     filter(collection_id == collection_id_of_interest) ## # A tibble: 12 × 4 ##    collection_id                        family         given       consortium ##    <chr>                                <chr>          <chr>       <chr>      ##  1 c9706a92-0e5f-46c1-96d8-20e42467f287 Bhat-Nakshatri Poornima    NA         ##  2 c9706a92-0e5f-46c1-96d8-20e42467f287 Gao            Hongyu      NA         ##  3 c9706a92-0e5f-46c1-96d8-20e42467f287 Sheng          Liu         NA         ##  4 c9706a92-0e5f-46c1-96d8-20e42467f287 McGuire        Patrick C.  NA         ##  5 c9706a92-0e5f-46c1-96d8-20e42467f287 Xuei           Xiaoling    NA         ##  6 c9706a92-0e5f-46c1-96d8-20e42467f287 Wan            Jun         NA         ##  7 c9706a92-0e5f-46c1-96d8-20e42467f287 Liu            Yunlong     NA         ##  8 c9706a92-0e5f-46c1-96d8-20e42467f287 Althouse       Sandra K.   NA         ##  9 c9706a92-0e5f-46c1-96d8-20e42467f287 Colter         Austyn      NA         ## 10 c9706a92-0e5f-46c1-96d8-20e42467f287 Sandusky       George      NA         ## 11 c9706a92-0e5f-46c1-96d8-20e42467f287 Storniolo      Anna Maria  NA         ## 12 c9706a92-0e5f-46c1-96d8-20e42467f287 Nakshatri      Harikrishna NA external_links <- links(db) external_links ## # A tibble: 725 × 4 ##    collection_id                        link_name     link_type   link_url       ##    <chr>                                <chr>         <chr>       <chr>          ##  1 ceb895f4-ff9f-403a-b7c3-187a9657ac2c SCP1859       OTHER       https://singl… ##  2 ceb895f4-ff9f-403a-b7c3-187a9657ac2c NA            LAB_WEBSITE https://labs.… ##  3 ceb895f4-ff9f-403a-b7c3-187a9657ac2c NA            OTHER       http://genome… ##  4 ceb895f4-ff9f-403a-b7c3-187a9657ac2c GSE204684     RAW_DATA    https://www.n… ##  5 ceb895f4-ff9f-403a-b7c3-187a9657ac2c analysis code OTHER       https://zenod… ##  6 af893e86-8e9f-41f1-a474-ef05359b1fb7 NA            OTHER       https://retin… ##  7 af893e86-8e9f-41f1-a474-ef05359b1fb7 NA            RAW_DATA    https://data.… ##  8 af893e86-8e9f-41f1-a474-ef05359b1fb7 GSE226108     RAW_DATA    https://www.n… ##  9 1d1c7275-476a-49e2-9022-ad1b1c793594 GSE148077     RAW_DATA    https://www.n… ## 10 1d1c7275-476a-49e2-9022-ad1b1c793594 NA            OTHER       https://singl… ## # ℹ 715 more rows external_links |>     count(link_type) ## # A tibble: 5 × 2 ##   link_type       n ##   <chr>       <int> ## 1 DATA_SOURCE    35 ## 2 LAB_WEBSITE    38 ## 3 OTHER         333 ## 4 PROTOCOL       44 ## 5 RAW_DATA      275 external_links |>     filter(collection_id == collection_id_of_interest) ## # A tibble: 2 × 4 ##   collection_id                        link_name link_type link_url              ##   <chr>                                <chr>     <chr>     <chr>                 ## 1 c9706a92-0e5f-46c1-96d8-20e42467f287 NA        RAW_DATA  https://data.humance… ## 2 c9706a92-0e5f-46c1-96d8-20e42467f287 NA        RAW_DATA  https://www.ncbi.nlm… doi_of_interest <- \"https://doi.org/10.1016/j.stem.2018.12.011\" links(db) |>     filter(link_url == doi_of_interest) |>     left_join(collections(db), by = \"collection_id\") |>     glimpse() ## Rows: 1 ## Columns: 21 ## $ collection_id         <chr> \"b1a879f6-5638-48d3-8f64-f6592c1b1561\" ## $ link_name             <chr> \"PSC-ATO protocol\" ## $ link_type             <chr> \"PROTOCOL\" ## $ link_url              <chr> \"https://doi.org/10.1016/j.stem.2018.12.011\" ## $ collection_version_id <chr> \"aa814356-20ba-4066-88be-fcbf89c84899\" ## $ collection_url        <chr> \"https://cellxgene.cziscience.com/collections/b1… ## $ consortia             <list> [\"CZI Single-Cell Biology\", \"Wellcome HCA Strate… ## $ contact_email         <chr> \"st9@sanger.ac.uk\" ## $ contact_name          <chr> \"Sarah Teichmann\" ## $ curator_name          <chr> \"Batuhan Cakir\" ## $ description           <chr> \"Single-cell genomics studies have decoded the i… ## $ doi                   <chr> \"10.1126/science.abo0510\" ## $ links                 <list> [[\"scVI Models\", \"DATA_SOURCE\", \"https://develop… ## $ name                  <chr> \"Mapping the developing human immune system acro… ## $ publisher_metadata    <list> [[[\"Suo\", \"Chenqu\"], [\"Dann\", \"Emma\"], [\"Goh\", \"… ## $ revising_in           <lgl> NA ## $ revision_of           <lgl> NA ## $ visibility            <chr> \"PUBLIC\" ## $ created_at            <date> 2023-12-11 ## $ published_at          <date> 2022-10-04 ## $ revised_at            <date> 2023-12-13"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"visualizing-data-in-cellxgene","dir":"Articles","previous_headings":"","what":"Visualizing data in cellxgene","title":"Discovery and retrieval","text":"Visualization straight-forward dataset_id available. example, visualize first dataset african_american_female, use Visualization interactive process, datasets_visualize() open 5 browser tabs per call.","code":"african_american_female |>     ## use criteria to identify a single dataset (here just the     ## 'first' dataset), then visualize     slice(1) |>     datasets_visualize()"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"file-download-and-use","dir":"Articles","previous_headings":"","what":"File download and use","title":"Discovery and retrieval","text":"Datasets usually contain H5AD (files produced python AnnData module), Rds (serialized files produced R Seurat package). Rds files may unreadable version Seurat used create file different version used read file. therefore focus H5AD files. illustration, find files associated studies African American females download one selected files. choose single dataset H5AD file download downloaded local cache (use internal function cellxgenedp:::.cellxgenedb_cache_path() location cache), process time-consuming first time. H5AD files can converted R / Bioconductor objects using zellkonverter package. SingleCellExperiment object matrix-like object rows corresponding genes columns cells. Thus can easily explore cells present data.","code":"selected_files <-     left_join(         african_american_female |> select(dataset_id),         files(db),         by = \"dataset_id\"     ) local_file <-     selected_files |>     filter(         dataset_id == \"de985818-285f-4f59-9dbd-d74968fddba3\",         filetype == \"H5AD\"     ) |>     files_download(dry.run = FALSE) basename(local_file) ## [1] \"64f14a2b-d754-4bc9-b496-b26f05ebfe4e.h5ad\" h5ad <- readH5AD(local_file, use_hdf5 = TRUE, reader = \"R\") h5ad ## class: SingleCellExperiment  ## dim: 33234 31696  ## metadata(5): citation default_embedding schema_reference schema_version ##   title ## assays(1): X ## rownames(33234): ENSG00000243485 ENSG00000237613 ... ENSG00000277475 ##   ENSG00000268674 ## rowData names(5): feature_is_filtered feature_name feature_reference ##   feature_biotype feature_length ## colnames(31696): CMGpool_AAACCCAAGGACAACC CMGpool_AAACCCACAATCTCTT ... ##   K109064_TTTGTTGGTTGCATCA K109064_TTTGTTGGTTGGACCC ## colData names(36): donor_id self_reported_ethnicity_ontology_term_id ##   ... development_stage observation_joinid ## reducedDimNames(3): X_pca X_tsne X_umap ## mainExpName: NULL ## altExpNames(0): h5ad |>     colData(h5ad) |>     as_tibble() |>     count(sex, donor_id) ## # A tibble: 7 × 3 ##   sex    donor_id                     n ##   <fct>  <fct>                    <int> ## 1 female D1                        2303 ## 2 female D2                         864 ## 3 female D3                        2517 ## 4 female D4                        1771 ## 5 female D5                        2244 ## 6 female D11                       7454 ## 7 female pooled [D9,D7,D8,D10,D6] 14543"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"next-steps","dir":"Articles","previous_headings":"","what":"Next steps","title":"Discovery and retrieval","text":"Orchestrating Single-Cell Analysis Bioconductor online resource provides excellent introduction analysis visualization single-cell data R / Bioconductor. Extensive opportunities working AnnData objects R using native python interface briefly described , e.g., ?AnnData2SCE help page zellkonverter. hca package provides programmatic access Human Cell Atlas data portal, allowing retrieval primary well derived single-cell data files.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"api-changes","dir":"Articles","previous_headings":"","what":"API changes","title":"Discovery and retrieval","text":"Data access provided CELLxGENE changed new ‘Discover’ API. main functionality cellxgenedp package changed, specific columns removed, replaced added, follows: collections() Removed: access_type, data_submission_policy_version Replaced: updated_at replaced revised_at Added: collection_version_id, collection_url, doi, revising_in, revision_of datasets() Removed: is_valid, processing_status, published, revision, created_at Replaced: dataset_deployments replaced explorer_url, name replaced title, updated_at replaced revised_at Added: dataset_version_id, batch_condition, x_approximate_distribution files() Removed: file_id, filename, s3_uri, user_submitted, created_at, updated_at Added: filesize, url","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"session-info","dir":"Articles","previous_headings":"","what":"Session info","title":"Discovery and retrieval","text":"","code":"## R version 4.3.2 (2023-10-31) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 22.04.3 LTS ##  ## Matrix products: default ## BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  ## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 ##  ## locale: ##  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        ##  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    ##  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           ## [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    ##  ## time zone: UTC ## tzcode source: system (glibc) ##  ## attached base packages: ## [1] stats4    stats     graphics  grDevices utils     datasets  methods   ## [8] base      ##  ## other attached packages: ##  [1] cellxgenedp_1.7.2           dplyr_1.1.4                 ##  [3] SingleCellExperiment_1.24.0 SummarizedExperiment_1.32.0 ##  [5] Biobase_2.62.0              GenomicRanges_1.54.1        ##  [7] GenomeInfoDb_1.38.5         IRanges_2.36.0              ##  [9] S4Vectors_0.40.2            BiocGenerics_0.48.1         ## [11] MatrixGenerics_1.14.0       matrixStats_1.2.0           ## [13] zellkonverter_1.12.1        BiocStyle_2.30.0            ##  ## loaded via a namespace (and not attached): ##  [1] tidyselect_1.2.0        filelock_1.0.3          bitops_1.0-7            ##  [4] fastmap_1.1.1           RCurl_1.98-1.14         promises_1.2.1          ##  [7] digest_0.6.34           mime_0.12               lifecycle_1.0.4         ## [10] ellipsis_0.3.2          magrittr_2.0.3          compiler_4.3.2          ## [13] rlang_1.1.3             sass_0.4.8              tools_4.3.2             ## [16] utf8_1.2.4              yaml_2.3.8              knitr_1.45              ## [19] S4Arrays_1.2.0          htmlwidgets_1.6.4       curl_5.2.0              ## [22] reticulate_1.34.0       DelayedArray_0.28.0     abind_1.4-5             ## [25] HDF5Array_1.30.0        withr_3.0.0             purrr_1.0.2             ## [28] desc_1.4.3              grid_4.3.2              fansi_1.0.6             ## [31] xtable_1.8-4            Rhdf5lib_1.24.1         cli_3.6.2               ## [34] rmarkdown_2.25          crayon_1.5.2            ragg_1.2.7              ## [37] generics_0.1.3          httr_1.4.7              rhdf5_2.46.1            ## [40] cachem_1.0.8            stringr_1.5.1           zlibbioc_1.48.0         ## [43] parallel_4.3.2          BiocManager_1.30.22     XVector_0.42.0          ## [46] basilisk_1.14.2         vctrs_0.6.5             Matrix_1.6-1.1          ## [49] jsonlite_1.8.8          dir.expiry_1.10.0       bookdown_0.37           ## [52] systemfonts_1.0.5       jquerylib_0.1.4         glue_1.7.0              ## [55] pkgdown_2.0.7           DT_0.31                 stringi_1.8.3           ## [58] later_1.3.2             tibble_3.2.1            pillar_1.9.0            ## [61] rhdf5filters_1.14.1     basilisk.utils_1.14.1   htmltools_0.5.7         ## [64] GenomeInfoDbData_1.2.11 R6_2.5.1                textshaping_0.3.7       ## [67] evaluate_0.23           shiny_1.8.0             lattice_0.21-9          ## [70] png_0.1-8               memoise_2.0.1           httpuv_1.6.13           ## [73] bslib_0.6.1             rjsoncons_1.1.0         Rcpp_1.0.12             ## [76] SparseArray_1.2.3       xfun_0.41               fs_1.6.3                ## [79] pkgconfig_2.0.3"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/b_case_studies.html","id":"setup","dir":"Articles","previous_headings":"","what":"Setup","title":"Case studies","text":"case study, ensure cellxgenedp (see Bioconductor package landing page, GitHub.io site) installed (additional installation options https://mtmorgan.github.io/cellxgenedp/). Load package.","code":"if (!\"BiocManager\" %in% rownames(installed.packages()))     install.packages(\"BiocManager\", repos = \"https://CRAN.R-project.org\") BiocManager::install(\"cellxgenedp\") library(cellxgenedp)"},{"path":[]},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/b_case_studies.html","id":"challenge-and-solution","dir":"Articles","previous_headings":"Case study: authors & datasets","what":"Challenge and solution","title":"Case studies","text":"case study arose question CZI Science Community Slack. user asked Hi! possible search CELLxGENE identify datasets specific author set authors? Unfortunately, possible CELLxGENE web site – authors associated collections, collections can sorted filtered title (publication / tissue / disease / organism). cellxgenedp solution uses authors() discover authors collections, joins information datasets(). author_datasets provides convenient point make basic queries, e.g., finding authors contributing datasets. Perhaps one interested prolific authors based ‘collections’, rather ‘datasets’. five prolific authors collection datasets associated authors Alternatively, one might interested specific authors. easily accomplished simple filter author_datasets, e.g., carefully constructing data.frame family given names, performing join author_datasets","code":"author_datasets <- left_join(     authors(),     datasets(),     by = \"collection_id\",     relationship = \"many-to-many\" ) author_datasets #> # A tibble: 43,244 × 34 #>    collection_id  family given consortium dataset_id dataset_version_id donor_id #>    <chr>          <chr>  <chr> <chr>      <chr>      <chr>              <list>   #>  1 ceb895f4-ff9f… Zhu    Kaiyi NA         53ce2631-… 2f17c183-388a-4c0… <list>   #>  2 ceb895f4-ff9f… Zhu    Kaiyi NA         1d4128f6-… 94762ee1-9f9f-49e… <list>   #>  3 ceb895f4-ff9f… Bendl  Jaro… NA         53ce2631-… 2f17c183-388a-4c0… <list>   #>  4 ceb895f4-ff9f… Bendl  Jaro… NA         1d4128f6-… 94762ee1-9f9f-49e… <list>   #>  5 ceb895f4-ff9f… Rahman Samir NA         53ce2631-… 2f17c183-388a-4c0… <list>   #>  6 ceb895f4-ff9f… Rahman Samir NA         1d4128f6-… 94762ee1-9f9f-49e… <list>   #>  7 ceb895f4-ff9f… Vicari Jame… NA         53ce2631-… 2f17c183-388a-4c0… <list>   #>  8 ceb895f4-ff9f… Vicari Jame… NA         1d4128f6-… 94762ee1-9f9f-49e… <list>   #>  9 ceb895f4-ff9f… Colem… Clai… NA         53ce2631-… 2f17c183-388a-4c0… <list>   #> 10 ceb895f4-ff9f… Colem… Clai… NA         1d4128f6-… 94762ee1-9f9f-49e… <list>   #> # ℹ 43,234 more rows #> # ℹ 27 more variables: assay <list>, batch_condition <list>, cell_count <int>, #> #   cell_type <list>, citation <chr>, development_stage <list>, disease <list>, #> #   embeddings <list>, explorer_url <chr>, feature_biotype <list>, #> #   feature_count <int>, feature_reference <list>, is_primary_data <list>, #> #   mean_genes_per_cell <dbl>, organism <list>, primary_cell_count <int>, #> #   raw_data_location <chr>, schema_version <chr>, … author_datasets |>     count(family, given, sort = TRUE) #> # A tibble: 3,988 × 3 #>    family      given        n #>    <chr>       <chr>    <int> #>  1 Casper      Tamara     232 #>  2 Dee         Nick       232 #>  3 Macosko     Evan Z.    230 #>  4 Chen        Fei        226 #>  5 Ding        Song-Lin   226 #>  6 Murray      Evan       226 #>  7 Hirschstein Daniel     217 #>  8 Travaglini  Kyle J.    202 #>  9 Nyhus       Julie      201 #> 10 Lein        Ed S.      198 #> # ℹ 3,978 more rows prolific_authors <-     authors() |>     count(family, given, sort = TRUE) |>     slice(1:5) prolific_authors #> # A tibble: 5 × 3 #>   family    given          n #>   <chr>     <chr>      <int> #> 1 Teichmann Sarah A.      23 #> 2 Regev     Aviv          14 #> 3 Haniffa   Muzlifah      12 #> 4 Meyer     Kerstin B.    12 #> 5 Polanski  Krzysztof     12 right_join(     author_datasets,     prolific_authors,     by = c(\"family\", \"given\") ) #> # A tibble: 376 × 35 #>    collection_id  family given consortium dataset_id dataset_version_id donor_id #>    <chr>          <chr>  <chr> <chr>      <chr>      <chr>              <list>   #>  1 1d1c7275-476a… Regev  Aviv  NA         d319af7f-… 3c80a5bb-8c89-433… <list>   #>  2 1d1c7275-476a… Regev  Aviv  NA         bc7260e0-… cab44f51-3ebf-4c9… <list>   #>  3 1d1c7275-476a… Regev  Aviv  NA         8623d55f-… f7e3732a-eea9-49a… <list>   #>  4 1d1c7275-476a… Regev  Aviv  NA         7b75b2c4-… 4b53f264-a62e-41a… <list>   #>  5 1d1c7275-476a… Regev  Aviv  NA         5cdbb2ea-… 9944528e-f23b-4d8… <list>   #>  6 1d1c7275-476a… Regev  Aviv  NA         2f6a20f1-… 129c17aa-3d9d-435… <list>   #>  7 f7cecffa-00b4… Meyer  Kers… NA         eaf0c852-… ec370e4c-4ce8-435… <list>   #>  8 f7cecffa-00b4… Meyer  Kers… NA         5af90777-… 4fd0f389-89ac-4a6… <list>   #>  9 f7cecffa-00b4… Meyer  Kers… NA         318cb2a6-… 99d31e0c-4ccf-42c… <list>   #> 10 f7cecffa-00b4… Teich… Sara… NA         eaf0c852-… ec370e4c-4ce8-435… <list>   #> # ℹ 366 more rows #> # ℹ 28 more variables: assay <list>, batch_condition <list>, cell_count <int>, #> #   cell_type <list>, citation <chr>, development_stage <list>, disease <list>, #> #   embeddings <list>, explorer_url <chr>, feature_biotype <list>, #> #   feature_count <int>, feature_reference <list>, is_primary_data <list>, #> #   mean_genes_per_cell <dbl>, organism <list>, primary_cell_count <int>, #> #   raw_data_location <chr>, schema_version <chr>, … author_datasets |>     filter(         family %in% c(\"Teichmann\", \"Regev\", \"Haniffa\")     ) #> # A tibble: 250 × 34 #>    collection_id  family given consortium dataset_id dataset_version_id donor_id #>    <chr>          <chr>  <chr> <chr>      <chr>      <chr>              <list>   #>  1 1d1c7275-476a… Regev  Aviv  NA         d319af7f-… 3c80a5bb-8c89-433… <list>   #>  2 1d1c7275-476a… Regev  Aviv  NA         bc7260e0-… cab44f51-3ebf-4c9… <list>   #>  3 1d1c7275-476a… Regev  Aviv  NA         8623d55f-… f7e3732a-eea9-49a… <list>   #>  4 1d1c7275-476a… Regev  Aviv  NA         7b75b2c4-… 4b53f264-a62e-41a… <list>   #>  5 1d1c7275-476a… Regev  Aviv  NA         5cdbb2ea-… 9944528e-f23b-4d8… <list>   #>  6 1d1c7275-476a… Regev  Aviv  NA         2f6a20f1-… 129c17aa-3d9d-435… <list>   #>  7 f7cecffa-00b4… Teich… Sara… NA         eaf0c852-… ec370e4c-4ce8-435… <list>   #>  8 f7cecffa-00b4… Teich… Sara… NA         5af90777-… 4fd0f389-89ac-4a6… <list>   #>  9 f7cecffa-00b4… Teich… Sara… NA         318cb2a6-… 99d31e0c-4ccf-42c… <list>   #> 10 2d2e2acd-dade… Teich… Sara… NA         f9846bb4-… f0b11a56-236f-4e7… <list>   #> # ℹ 240 more rows #> # ℹ 27 more variables: assay <list>, batch_condition <list>, cell_count <int>, #> #   cell_type <list>, citation <chr>, development_stage <list>, disease <list>, #> #   embeddings <list>, explorer_url <chr>, feature_biotype <list>, #> #   feature_count <int>, feature_reference <list>, is_primary_data <list>, #> #   mean_genes_per_cell <dbl>, organism <list>, primary_cell_count <int>, #> #   raw_data_location <chr>, schema_version <chr>, … authors_of_interest <-     tibble(         family = c(\"Teichmann\", \"Regev\", \"Haniffa\"),         given = c(\"Sarah A.\", \"Aviv\", \"Muzlifah\")     ) right_join(     author_datasets,     authors_of_interest,     by = c(\"family\", \"given\") ) #> # A tibble: 240 × 34 #>    collection_id  family given consortium dataset_id dataset_version_id donor_id #>    <chr>          <chr>  <chr> <chr>      <chr>      <chr>              <list>   #>  1 1d1c7275-476a… Regev  Aviv  NA         d319af7f-… 3c80a5bb-8c89-433… <list>   #>  2 1d1c7275-476a… Regev  Aviv  NA         bc7260e0-… cab44f51-3ebf-4c9… <list>   #>  3 1d1c7275-476a… Regev  Aviv  NA         8623d55f-… f7e3732a-eea9-49a… <list>   #>  4 1d1c7275-476a… Regev  Aviv  NA         7b75b2c4-… 4b53f264-a62e-41a… <list>   #>  5 1d1c7275-476a… Regev  Aviv  NA         5cdbb2ea-… 9944528e-f23b-4d8… <list>   #>  6 1d1c7275-476a… Regev  Aviv  NA         2f6a20f1-… 129c17aa-3d9d-435… <list>   #>  7 f7cecffa-00b4… Teich… Sara… NA         eaf0c852-… ec370e4c-4ce8-435… <list>   #>  8 f7cecffa-00b4… Teich… Sara… NA         5af90777-… 4fd0f389-89ac-4a6… <list>   #>  9 f7cecffa-00b4… Teich… Sara… NA         318cb2a6-… 99d31e0c-4ccf-42c… <list>   #> 10 2d2e2acd-dade… Teich… Sara… NA         f9846bb4-… f0b11a56-236f-4e7… <list>   #> # ℹ 230 more rows #> # ℹ 27 more variables: assay <list>, batch_condition <list>, cell_count <int>, #> #   cell_type <list>, citation <chr>, development_stage <list>, disease <list>, #> #   embeddings <list>, explorer_url <chr>, feature_biotype <list>, #> #   feature_count <int>, feature_reference <list>, is_primary_data <list>, #> #   mean_genes_per_cell <dbl>, organism <list>, primary_cell_count <int>, #> #   raw_data_location <chr>, schema_version <chr>, …"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/b_case_studies.html","id":"areas-of-interest","dir":"Articles","previous_headings":"Case study: authors & datasets","what":"Areas of interest","title":"Case studies","text":"several interesting questions suggest , several areas additional work required. might interesting identify authors working similar disease, areas interest. disease column author_datasets table list. single dataset may involve one disease. Furthermore, entry list contains two elements, label ontology_term_id disease. two approaches working data. One approach working data uses facilities cellxgenedp outlined accompanying article. Discover possible diseases. Focus COVID-19, use facets_filter() select relevant author-dataset combinations. Authors contributing datasets second approach follow practices R Data Science, disease column can ‘unnested’ twice, first time expand author_datasets table disease, second time separate two columns disease. Author-dataset combinations associated COVID-19, contributors datasets, computations earlier iteration using functionality cellxgenedp. resource might interest [OSLr][] package article illustrating ontologies used CELLxGENE can manipulated , e.g., identify studies terms derive common term (e.g., disease terms related ‘carcinoma’).","code":"author_datasets |>     select(family, given, dataset_id, disease) #> # A tibble: 43,244 × 4 #>    family  given    dataset_id                           disease    #>    <chr>   <chr>    <chr>                                <list>     #>  1 Zhu     Kaiyi    53ce2631-3646-4172-bbd9-38b0a44d8214 <list [1]> #>  2 Zhu     Kaiyi    1d4128f6-c27b-40c4-af77-b1c7e2b694e7 <list [1]> #>  3 Bendl   Jaroslav 53ce2631-3646-4172-bbd9-38b0a44d8214 <list [1]> #>  4 Bendl   Jaroslav 1d4128f6-c27b-40c4-af77-b1c7e2b694e7 <list [1]> #>  5 Rahman  Samir    53ce2631-3646-4172-bbd9-38b0a44d8214 <list [1]> #>  6 Rahman  Samir    1d4128f6-c27b-40c4-af77-b1c7e2b694e7 <list [1]> #>  7 Vicari  James M. 53ce2631-3646-4172-bbd9-38b0a44d8214 <list [1]> #>  8 Vicari  James M. 1d4128f6-c27b-40c4-af77-b1c7e2b694e7 <list [1]> #>  9 Coleman Claire   53ce2631-3646-4172-bbd9-38b0a44d8214 <list [1]> #> 10 Coleman Claire   1d4128f6-c27b-40c4-af77-b1c7e2b694e7 <list [1]> #> # ℹ 43,234 more rows facets(db(), \"disease\") #> # A tibble: 103 × 4 #>    facet   label                                          ontology_term_id     n #>    <chr>   <chr>                                          <chr>            <int> #>  1 disease normal                                         PATO:0000461      1001 #>  2 disease COVID-19                                       MONDO:0100096       60 #>  3 disease dementia                                       MONDO:0001627       50 #>  4 disease diabetic kidney disease                        MONDO:0005016       26 #>  5 disease myocardial infarction                          MONDO:0005068       26 #>  6 disease autosomal dominant polycystic kidney disease   MONDO:0004691       24 #>  7 disease Alzheimer disease                              MONDO:0004975       15 #>  8 disease lung adenocarcinoma                            MONDO:0005061       11 #>  9 disease small cell lung carcinoma                      MONDO:0008433       11 #> 10 disease arrhythmogenic right ventricular cardiomyopat… MONDO:0016587        9 #> # ℹ 93 more rows author_datasets |>     filter(facets_filter(disease, \"label\", \"COVID-19\")) #> # A tibble: 1,766 × 34 #>    collection_id  family given consortium dataset_id dataset_version_id donor_id #>    <chr>          <chr>  <chr> <chr>      <chr>      <chr>              <list>   #>  1 a72afd53-ab92… Wilk   Aaro… NA         456e8b9b-… a5ac4378-58f6-4ff… <list>   #>  2 a72afd53-ab92… Rusta… Arjun NA         456e8b9b-… a5ac4378-58f6-4ff… <list>   #>  3 a72afd53-ab92… Zhao   Nanc… NA         456e8b9b-… a5ac4378-58f6-4ff… <list>   #>  4 a72afd53-ab92… Roque  Jona… NA         456e8b9b-… a5ac4378-58f6-4ff… <list>   #>  5 a72afd53-ab92… Martí… Giov… NA         456e8b9b-… a5ac4378-58f6-4ff… <list>   #>  6 a72afd53-ab92… McKec… Juli… NA         456e8b9b-… a5ac4378-58f6-4ff… <list>   #>  7 a72afd53-ab92… Ivison Geof… NA         456e8b9b-… a5ac4378-58f6-4ff… <list>   #>  8 a72afd53-ab92… Ranga… Than… NA         456e8b9b-… a5ac4378-58f6-4ff… <list>   #>  9 a72afd53-ab92… Verga… Rose… NA         456e8b9b-… a5ac4378-58f6-4ff… <list>   #> 10 a72afd53-ab92… Hollis Tayl… NA         456e8b9b-… a5ac4378-58f6-4ff… <list>   #> # ℹ 1,756 more rows #> # ℹ 27 more variables: assay <list>, batch_condition <list>, cell_count <int>, #> #   cell_type <list>, citation <chr>, development_stage <list>, disease <list>, #> #   embeddings <list>, explorer_url <chr>, feature_biotype <list>, #> #   feature_count <int>, feature_reference <list>, is_primary_data <list>, #> #   mean_genes_per_cell <dbl>, organism <list>, primary_cell_count <int>, #> #   raw_data_location <chr>, schema_version <chr>, … author_datasets |>     filter(facets_filter(disease, \"label\", \"COVID-19\")) |>     count(family, given, sort = TRUE) #> # A tibble: 794 × 3 #>    family       given           n #>    <chr>        <chr>       <int> #>  1 Farber       Donna L.       29 #>  2 Guo          Xinzheng V.    28 #>  3 Saqi         Anjali         28 #>  4 Baldwin      Matthew R.     27 #>  5 Chait        Michael        27 #>  6 Connors      Thomas J.      27 #>  7 Davis-Porada Julia          27 #>  8 Dogra        Pranay         27 #>  9 Gray         Joshua I.      27 #> 10 Idzikowski   Emma           27 #> # ℹ 784 more rows author_dataset_diseases <-     author_datasets |>     select(family, given, dataset_id, disease) |>     tidyr::unnest_longer(disease) |>     tidyr::unnest_wider(disease) author_dataset_diseases #> # A tibble: 57,097 × 5 #>    family  given    dataset_id                           label  ontology_term_id #>    <chr>   <chr>    <chr>                                <chr>  <chr>            #>  1 Zhu     Kaiyi    53ce2631-3646-4172-bbd9-38b0a44d8214 normal PATO:0000461     #>  2 Zhu     Kaiyi    1d4128f6-c27b-40c4-af77-b1c7e2b694e7 normal PATO:0000461     #>  3 Bendl   Jaroslav 53ce2631-3646-4172-bbd9-38b0a44d8214 normal PATO:0000461     #>  4 Bendl   Jaroslav 1d4128f6-c27b-40c4-af77-b1c7e2b694e7 normal PATO:0000461     #>  5 Rahman  Samir    53ce2631-3646-4172-bbd9-38b0a44d8214 normal PATO:0000461     #>  6 Rahman  Samir    1d4128f6-c27b-40c4-af77-b1c7e2b694e7 normal PATO:0000461     #>  7 Vicari  James M. 53ce2631-3646-4172-bbd9-38b0a44d8214 normal PATO:0000461     #>  8 Vicari  James M. 1d4128f6-c27b-40c4-af77-b1c7e2b694e7 normal PATO:0000461     #>  9 Coleman Claire   53ce2631-3646-4172-bbd9-38b0a44d8214 normal PATO:0000461     #> 10 Coleman Claire   1d4128f6-c27b-40c4-af77-b1c7e2b694e7 normal PATO:0000461     #> # ℹ 57,087 more rows author_dataset_diseases |>     filter(label == \"COVID-19\")  author_dataset_diseases |>     filter(label == \"COVID-19\") |>     count(family, given, sort = TRUE)"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/b_case_studies.html","id":"collaboration","dir":"Articles","previous_headings":"Case study: authors & datasets","what":"Collaboration","title":"Case studies","text":"TODO. might interesting know authors collaborated one another. can computed author_datasets table, following approaches developed grantpubcite package identify collaborations projects NIH-funded ITCR program. See graph visualization ITCR collaboration section inspiration.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/b_case_studies.html","id":"duplicate-collection-author-combinations","dir":"Articles","previous_headings":"Case study: authors & datasets","what":"Duplicate collection-author combinations","title":"Case studies","text":"authors 5154 collection-author combinations. expect distinct (row identifying unique collection-author combination). true Duplicated data Discover details first duplicated collection, e5f58829-1a66-40b5-a624-9046778e74f5 author information comes publisher_metadata column ‘list--lists’, relevant information elements first list relevant information authors field, 221 Inspection shows four authors family name Pisco given name Angela Oliveira: appears data provided CZI indeed includes duplicate author names. pragmatic perspective, might make sense remove duplicate entries authors -stream analysis. Tools found useful working list--lists style data rare listviewer::jsonedit() visualization, rjsoncons filtering querying data using JSONpointer, JSONpath, JMESpath expression (R-centric tool purrr package).","code":"authors <- authors() authors #> # A tibble: 5,154 × 4 #>    collection_id                        family   given      consortium #>    <chr>                                <chr>    <chr>      <chr>      #>  1 ceb895f4-ff9f-403a-b7c3-187a9657ac2c Zhu      Kaiyi      NA         #>  2 ceb895f4-ff9f-403a-b7c3-187a9657ac2c Bendl    Jaroslav   NA         #>  3 ceb895f4-ff9f-403a-b7c3-187a9657ac2c Rahman   Samir      NA         #>  4 ceb895f4-ff9f-403a-b7c3-187a9657ac2c Vicari   James M.   NA         #>  5 ceb895f4-ff9f-403a-b7c3-187a9657ac2c Coleman  Claire     NA         #>  6 ceb895f4-ff9f-403a-b7c3-187a9657ac2c Clarence Tereza     NA         #>  7 ceb895f4-ff9f-403a-b7c3-187a9657ac2c Latouche Ovaun      NA         #>  8 ceb895f4-ff9f-403a-b7c3-187a9657ac2c Tsankova Nadejda M. NA         #>  9 ceb895f4-ff9f-403a-b7c3-187a9657ac2c Li       Aiqun      NA         #> 10 ceb895f4-ff9f-403a-b7c3-187a9657ac2c Brennand Kristen J. NA         #> # ℹ 5,144 more rows nrow(authors) == nrow(distinct(authors)) #> [1] FALSE authors |>      count(collection_id, family, given, consortium, sort = TRUE) |>     filter(n > 1) #> # A tibble: 73 × 5 #>    collection_id                        family     given        consortium     n #>    <chr>                                <chr>      <chr>        <chr>      <int> #>  1 e5f58829-1a66-40b5-a624-9046778e74f5 Pisco      Angela Oliv… NA             4 #>  2 e5f58829-1a66-40b5-a624-9046778e74f5 Crasta     Sheela       NA             3 #>  3 e5f58829-1a66-40b5-a624-9046778e74f5 Swift      Michael      NA             3 #>  4 e5f58829-1a66-40b5-a624-9046778e74f5 Travaglini Kyle J.      NA             3 #>  5 e5f58829-1a66-40b5-a624-9046778e74f5 de Morree  Antoine      NA             3 #>  6 51544e44-293b-4c2b-8c26-560678423380 Betts      Michael R.   NA             2 #>  7 51544e44-293b-4c2b-8c26-560678423380 Faryabi    Robert B.    NA             2 #>  8 51544e44-293b-4c2b-8c26-560678423380 Fasolino   Maria        NA             2 #>  9 51544e44-293b-4c2b-8c26-560678423380 Feldman    Michael      NA             2 #> 10 51544e44-293b-4c2b-8c26-560678423380 Goldman    Naomi        NA             2 #> # ℹ 63 more rows duplicate_authors <-     collections() |>     filter(collection_id == \"e5f58829-1a66-40b5-a624-9046778e74f5\") duplicate_authors #> # A tibble: 1 × 18 #>   collection_id     collection_version_id collection_url consortia contact_email #>   <chr>             <chr>                 <chr>          <list>    <chr>         #> 1 e5f58829-1a66-40… 0a47227f-aab6-4c3d-b… https://cellx… <list>    angela.pisco… #> # ℹ 13 more variables: contact_name <chr>, curator_name <chr>, #> #   description <chr>, doi <chr>, links <list>, name <chr>, #> #   publisher_metadata <list>, revising_in <lgl>, revision_of <lgl>, #> #   visibility <chr>, created_at <date>, published_at <date>, revised_at <date> publisher_metadata <-     duplicate_authors |>     pull(publisher_metadata) names(publisher_metadata[[1]]) #> [1] \"authors\"         \"is_preprint\"     \"journal\"         \"published_at\"    #> [5] \"published_day\"   \"published_month\" \"published_year\" length(publisher_metadata[[1]][[\"authors\"]]) #> [1] 221 deduplicated_authors <- distinct(authors)"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/b_case_studies.html","id":"what-is-an-author","dir":"Articles","previous_headings":"Case study: authors & datasets > Duplicate collection-author combinations","what":"What is an ‘author’?","title":"Case studies","text":"combination family given name may refer two () different individuals (e.g., two individuals named ‘Martin Morgan’), single individual may recorded two different names (e.g., given name sometimes ‘Martin’ sometimes ‘Martin T.’). clear resolved; recording ORCID identifiers migth help disambiguation.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/b_case_studies.html","id":"case-study-using-ontology-to-identify-datasets","dir":"Articles","previous_headings":"","what":"Case study: using ontology to identify datasets","title":"Case studies","text":"case study developed response following Slack question: CELLxGENE’s webpage using different ontologies displaying easy interogate manner (choosing amongst 3 possible coarseness cell types, tissues age) wondering simplified tree 3 subgroups cell type, tissue age categories available somewhere? indicated question, CELLxGENE provides access ontologies hand-curated three-tiered classification specific facets; tiers can retrieved publicly available code, one might want develop flexible principled approach. CELLxGENE dataset facets like ‘disease’ ‘cell type’ use terms ontologies. Ontologies arrange terms directed acyclic graphs, use ontologies can useful identify related datasets. instance, one might interesed cancer-related datasets (derived ‘carcinoma’ term corresponding ontology) general, rather , e.g., ‘B-cell non-Hodgkins lymphoma’. exploring question R, found developing OLSr package query process ontologies EMBL-EBI Ontology Lookup Service. See ‘Case Study: CELLxGENE Ontologies’ article OLSr package full details.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/b_case_studies.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"Case studies","text":"","code":"#> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        #>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    #>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           #> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] stats     graphics  grDevices utils     datasets  methods   base      #>  #> other attached packages: #> [1] cellxgenedp_1.7.2 dplyr_1.1.4       BiocStyle_2.30.0  #>  #> loaded via a namespace (and not attached): #>  [1] tidyr_1.3.0         sass_0.4.8          utf8_1.2.4          #>  [4] generics_0.1.3      stringi_1.8.3       digest_0.6.34       #>  [7] magrittr_2.0.3      evaluate_0.23       bookdown_0.37       #> [10] fastmap_1.1.1       jsonlite_1.8.8      promises_1.2.1      #> [13] BiocManager_1.30.22 httr_1.4.7          purrr_1.0.2         #> [16] fansi_1.0.6         textshaping_0.3.7   jquerylib_0.1.4     #> [19] cli_3.6.2           shiny_1.8.0         rlang_1.1.3         #> [22] ellipsis_0.3.2      withr_3.0.0         cachem_1.0.8        #> [25] yaml_2.3.8          tools_4.3.2         memoise_2.0.1       #> [28] httpuv_1.6.13       DT_0.31             curl_5.2.0          #> [31] vctrs_0.6.5         rjsoncons_1.1.0     R6_2.5.1            #> [34] mime_0.12           lifecycle_1.0.4     stringr_1.5.1       #> [37] fs_1.6.3            htmlwidgets_1.6.4   ragg_1.2.7          #> [40] pkgconfig_2.0.3     desc_1.4.3          pkgdown_2.0.7       #> [43] pillar_1.9.0        bslib_0.6.1         later_1.3.2         #> [46] glue_1.7.0          Rcpp_1.0.12         systemfonts_1.0.5   #> [49] xfun_0.41           tibble_3.2.1        tidyselect_1.2.0    #> [52] knitr_1.45          xtable_1.8-4        htmltools_0.5.7     #> [55] rmarkdown_2.25      compiler_4.3.2"},{"path":"https://mtmorgan.github.io/cellxgenedp/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Martin Morgan. Author, maintainer. Kayla Interdonato. Author.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Morgan M, Interdonato K (2024). cellxgenedp: Discover Access Single Cell Data Sets CELLxGENE Data Portal. R package version 1.7.2, https://github.com/mtmorgan/cellxgenedp, https://mtmorgan.github.io/cellxgenedp/.","code":"@Manual{,   title = {cellxgenedp: Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal},   author = {Martin Morgan and Kayla Interdonato},   year = {2024},   note = {R package version 1.7.2, https://github.com/mtmorgan/cellxgenedp},   url = {https://mtmorgan.github.io/cellxgenedp/}, }"},{"path":"https://mtmorgan.github.io/cellxgenedp/index.html","id":"introduction-to-cellxgenedp","dir":"","previous_headings":"","what":"Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal","title":"Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal","text":"cellxgene data portal https://cellxgene.cziscience.com/ provides graphical user interface collections single-cell sequence data processed standard ways ‘count matrix’ summaries. cellxgenedp package provides alternative, R-based inteface, allowind data discovery, viewing, downloading.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal","text":"package available Bioconductor version 3.15 later. following code installs cellxgenedp Alternatively, install ‘development’ version GitHub also install additional packages required vignette, use","code":"if (!\"BiocManager\" %in% rownames(installed.packages()))     install.packages(\"BiocManager\", repos = \"https://CRAN.R-project.org\") BiocManager::install(\"cellxgenedp\") if (!\"remotes\" %in% rownames(installed.packages()))     install.packages(\"remotes\", repos = \"https://CRAN.R-project.org\") remotes::install_github(\"mtmorgan/cellxgenedp\") pkgs <- c(\"tidyr\", \"zellkonverter\", \"SingleCellExperiment\", \"HDF5Array\") required_pkgs <- pkgs[!pkgs %in% rownames(installed.packages())] BiocManager::install(required_pkgs)"},{"path":"https://mtmorgan.github.io/cellxgenedp/index.html","id":"use","dir":"","previous_headings":"","what":"Use","title":"Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal","text":"Load package current R session. make extensive use dplyr packages, end vignette use SingleCellExperiment zellkonverter, load well.","code":"suppressPackageStartupMessages({     library(dplyr)     library(cellxgenedp) })"},{"path":"https://mtmorgan.github.io/cellxgenedp/index.html","id":"shiny","dir":"","previous_headings":"","what":"Shiny","title":"Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal","text":"cxg() provides ‘shiny’ interface allowing discovery collections datasets, visualization selected datasets cellxgene data portal, download datasets use R.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/index.html","id":"next-steps","dir":"","previous_headings":"","what":"Next steps","title":"Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal","text":"View artcle Discover download datasets files cellxgene data portal.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/cxg.html","id":null,"dir":"Reference","previous_headings":"","what":"Shiny application for discovering, viewing, and downloading\ncellxgene data — cxg","title":"Shiny application for discovering, viewing, and downloading\ncellxgene data — cxg","text":"Shiny application discovering, viewing, downloading cellxgene data","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/cxg.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Shiny application for discovering, viewing, and downloading\ncellxgene data — cxg","text":"","code":"cxg(as = c(\"tibble\", \"sce\"))"},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/cxg.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Shiny application for discovering, viewing, and downloading\ncellxgene data — cxg","text":"character(1) Return value quiting shiny application. \"tibble\" returns tibble describing selected datasets (including location disk downloaded file). \"sce\" returns list dataset files imported R SingleCellExperiment objects.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/cxg.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Shiny application for discovering, viewing, and downloading\ncellxgene data — cxg","text":"cxg() returns either tibble describing datasets selected shiny application, list datasets imported R SingleCellExperiment objects.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/cxg.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Shiny application for discovering, viewing, and downloading\ncellxgene data — cxg","text":"","code":"# \\donttest{ if (interactive())     cxg() # }"},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/db.html","id":null,"dir":"Reference","previous_headings":"","what":"Retrieve updated cellxgene database metadata — db","title":"Retrieve updated cellxgene database metadata — db","text":"Retrieve updated cellxgene database metadata","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/db.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Retrieve updated cellxgene database metadata — db","text":"","code":"db(overwrite = .db_online() && .db_first())"},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/db.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Retrieve updated cellxgene database metadata — db","text":"overwrite logical(1) indicating whether database collections updated internet (default, internet available , interactive session, user requests update), read disk (assuming previous successful access internet).  overwrite = FALSE might useful reproducibility, testing, working environment restricted internet access.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/db.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Retrieve updated cellxgene database metadata — db","text":"db() returns object class 'cellxgene_db', summarizing available collections, datasets, files.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/db.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Retrieve updated cellxgene database metadata — db","text":"database retrieved cellxgene data portal web site. 'collections' metadata retrieved call; metadata collection cached locally re-use.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/db.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Retrieve updated cellxgene database metadata — db","text":"","code":"db() #> cellxgene_db #> number of collections(): 183 #> number of datasets(): 1179 #> number of files(): 2338"},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/facets.html","id":null,"dir":"Reference","previous_headings":"","what":"Facets available for querying cellxgene data — FACETS","title":"Facets available for querying cellxgene data — FACETS","text":"FACETS character vector common fields used subset cellxgene data. facets() used query cellxgene database current values one facets. facets_filter() provides convenient way filter facets based label ontology term.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/facets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Facets available for querying cellxgene data — FACETS","text":"","code":"FACETS  facets(cellxgene_db = db(), facets = FACETS)  facets_filter(facet, key = c(\"label\", \"ontology_term_id\"), value, exact = TRUE)"},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/facets.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Facets available for querying cellxgene data — FACETS","text":"FACETS object class character length 8.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/facets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Facets available for querying cellxgene data — FACETS","text":"cellxgene_db (optional) cellxgene_db object, returned db(). facets character() vector corersponding one facets FACETS. facet column containing faceted information, e.g., sex datasets(db). key character(1) identifying whether value label ontology_term_id. value character() value label ontology term filter . value may vector length(value) > 0 exact matchs (exact = TRUE, default), character(1) regular expression. exact logical(1) whether values match exactly (default, TRUE) regular expression (FALSE).","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/facets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Facets available for querying cellxgene data — FACETS","text":"facets() returns tibble columns facet, label, ontology_term_id, n, number times facet label used database. facets_filter() returns logical vector length equal length (number rows) facet, TRUE indicating value key present dataset.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/facets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Facets available for querying cellxgene data — FACETS","text":"","code":"f <- facets()  ## levels of each facet f |>     dplyr::count(facet) #> # A tibble: 8 × 2 #>   facet                       n #>   <chr>                   <int> #> 1 assay                      38 #> 2 cell_type                 773 #> 3 development_stage         232 #> 4 disease                   103 #> 5 organism                    7 #> 6 self_reported_ethnicity    32 #> 7 sex                         3 #> 8 tissue                    378  ## same as facets(, facets = \"organism\") f |>     dplyr::filter(facet == \"organism\") #> # A tibble: 7 × 4 #>   facet    label                 ontology_term_id     n #>   <chr>    <chr>                 <chr>            <int> #> 1 organism Homo sapiens          NCBITaxon:9606     866 #> 2 organism Mus musculus          NCBITaxon:10090    276 #> 3 organism Callithrix jacchus    NCBITaxon:9483      28 #> 4 organism Macaca mulatta        NCBITaxon:9544      19 #> 5 organism Sus scrofa domesticus NCBITaxon:9825       3 #> 6 organism Pan troglodytes       NCBITaxon:9598       2 #> 7 organism Gorilla gorilla       NCBITaxon:9593       1  db <- db() ds <- datasets(db)  ## datasets with African American females ds |>     dplyr::filter(         facets_filter(self_reported_ethnicity, \"label\", \"African American\"),         facets_filter(sex, \"label\", \"female\")     ) #> # A tibble: 52 × 31 #>    dataset_id   dataset_version_id collection_id donor_id assay  batch_condition #>    <chr>        <chr>              <chr>         <list>   <list> <list>          #>  1 94c41723-b2… 4a9bcef2-02db-49f… f17b9205-f61… <list>   <list> <lgl [1]>       #>  2 3de0ad6d-43… 6934232e-4db4-423… 625f6bf4-2f3… <list>   <list> <lgl [1]>       #>  3 de985818-28… 64f14a2b-d754-4bc… c9706a92-0e5… <list>   <list> <lgl [1]>       #>  4 0b4a15a7-4e… 6616739c-0b4a-4a4… a98b828a-622… <list>   <list> <lgl [1]>       #>  5 3c361813-5d… 2e0b82ee-5320-437… e1fa9900-3fc… <list>   <list> <lgl [1]>       #>  6 32b9bdce-24… 04019af8-aaf3-446… bcb61471-2a4… <list>   <list> <lgl [1]>       #>  7 0b75c598-08… 6568e80d-b8d8-4a5… bcb61471-2a4… <list>   <list> <lgl [1]>       #>  8 07854d9c-53… bf5607d5-82c3-46f… bcb61471-2a4… <list>   <list> <lgl [1]>       #>  9 e40c6272-af… 23d7646e-5ed0-467… a48f5033-343… <list>   <list> <lgl [1]>       #> 10 d6dfdef1-40… 5a2b8d31-f043-48e… a48f5033-343… <list>   <list> <lgl [1]>       #> # ℹ 42 more rows #> # ℹ 25 more variables: cell_count <int>, cell_type <list>, citation <chr>, #> #   development_stage <list>, disease <list>, embeddings <list>, #> #   explorer_url <chr>, feature_biotype <list>, feature_count <int>, #> #   feature_reference <list>, is_primary_data <list>, #> #   mean_genes_per_cell <dbl>, organism <list>, primary_cell_count <int>, #> #   raw_data_location <chr>, schema_version <chr>, …  ## datasets with non-European, known ethnicity facets(db, \"self_reported_ethnicity\") #> # A tibble: 32 × 4 #>    facet                   label                          ontology_term_id     n #>    <chr>                   <chr>                          <chr>            <int> #>  1 self_reported_ethnicity European                       HANCESTRO:0005     505 #>  2 self_reported_ethnicity unknown                        unknown            411 #>  3 self_reported_ethnicity na                             na                 320 #>  4 self_reported_ethnicity Asian                          HANCESTRO:0008     141 #>  5 self_reported_ethnicity African American               HANCESTRO:0568      61 #>  6 self_reported_ethnicity Hispanic or Latin American     HANCESTRO:0014      54 #>  7 self_reported_ethnicity Native American,Hispanic or L… HANCESTRO:0013,…    50 #>  8 self_reported_ethnicity African American or Afro-Cari… HANCESTRO:0016      32 #>  9 self_reported_ethnicity Greater Middle Eastern  (Midd… HANCESTRO:0015      22 #> 10 self_reported_ethnicity South Asian                    HANCESTRO:0006      11 #> # ℹ 22 more rows ds |>     dplyr::filter(         !facets_filter(             self_reported_ethnicity, \"label\", c(\"European\", \"na\", \"unknown\")         )     ) #> # A tibble: 25 × 31 #>    dataset_id   dataset_version_id collection_id donor_id assay  batch_condition #>    <chr>        <chr>              <chr>         <list>   <list> <list>          #>  1 e6a11140-25… 4866a804-37eb-436… e5f58829-1a6… <list>   <list> <lgl [1]>       #>  2 6ec405bb-47… c524a1cb-e823-478… e5f58829-1a6… <list>   <list> <lgl [1]>       #>  3 2ba40233-85… a1e426d5-f575-445… e5f58829-1a6… <list>   <list> <lgl [1]>       #>  4 2423ce2c-31… 80e4bc4f-e0a9-467… e5f58829-1a6… <list>   <list> <lgl [1]>       #>  5 2adb1f8a-a6… 1b7484e3-83a0-47f… 38833785-fac… <list>   <list> <lgl [1]>       #>  6 be884a28-0e… 7dd2aaf8-1714-49b… 10bf5c50-8d8… <list>   <list> <lgl [1]>       #>  7 c8f83821-a2… 10ecac59-8895-492… 9d63fcf1-5ca… <list>   <list> <lgl [1]>       #>  8 c05e6940-72… 80a4eb91-dab2-40d… 9d63fcf1-5ca… <list>   <list> <lgl [1]>       #>  9 894573ad-49… e385cf86-3c0b-422… 9d63fcf1-5ca… <list>   <list> <lgl [1]>       #> 10 84242d25-f6… 7ce8fb90-86fa-4ea… 9d63fcf1-5ca… <list>   <list> <lgl [1]>       #> # ℹ 15 more rows #> # ℹ 25 more variables: cell_count <int>, cell_type <list>, citation <chr>, #> #   development_stage <list>, disease <list>, embeddings <list>, #> #   explorer_url <chr>, feature_biotype <list>, feature_count <int>, #> #   feature_reference <list>, is_primary_data <list>, #> #   mean_genes_per_cell <dbl>, organism <list>, primary_cell_count <int>, #> #   raw_data_location <chr>, schema_version <chr>, …"},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/query.html","id":null,"dir":"Reference","previous_headings":"","what":"Query cellxgene collections, datasets, and files — collections","title":"Query cellxgene collections, datasets, and files — collections","text":"files_download() retrieves one cellxgene files cache local system. links(), authors() publisher_metadata() helper functions extract 'nested' information collections.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/query.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Query cellxgene collections, datasets, and files — collections","text":"","code":"collections(cellxgene_db = db())  datasets(cellxgene_db = db())  datasets_visualize(tbl)  files(cellxgene_db = db())  files_download(tbl, dry.run = TRUE, cache.path = .cellxgene_cache_path())  links(cellxgene_db = db())  authors(cellxgene_db = db())  publisher_metadata(cellxgene_db = db())"},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/query.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Query cellxgene collections, datasets, and files — collections","text":"cellxgene_db optional 'cellxgene_db' object, returned db(). tbl tibble() typically derived datasets(db) files(db) containing columns dataset_id (datasets_visualize()), columns dataset_id, file_id, filetype (files_download()). dry.run logical(1) indicating whether (often large) file(s) tbl downloaded local cache. Files downloaded dry.run = TRUE (default). cache.path character(1) directory cache downloaded files. directory must already exist. default tools::R_user_dir(\"cellxgenedp\", \"cache\"), package-specific path user home directory.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/query.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Query cellxgene collections, datasets, and files — collections","text":"function returns tibble describing corresponding component database. files_download() returns character() vector paths local files. links() returns tibble external links associated collection. Common links includ DOI, raw data / data sources, lab websites. authors() returns tibble authors associated collection. publisher_metadata() returns tibble publisher metadata (journal, publicate date, doi) associated collection.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/query.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Query cellxgene collections, datasets, and files — collections","text":"","code":"db <- db()  collections(db) #> # A tibble: 183 × 18 #>    collection_id    collection_version_id collection_url consortia contact_email #>    <chr>            <chr>                 <chr>          <list>    <chr>         #>  1 ceb895f4-ff9f-4… ee098b5a-4f33-473b-b… https://cellx… <list>    panagiotis.r… #>  2 af893e86-8e9f-4… 768170a6-c590-4900-a… https://cellx… <list>    ruichen@bcm.… #>  3 1d1c7275-476a-4… 609becde-c797-41bb-8… https://cellx… <list>    wey334@g.har… #>  4 1b014f39-f202-4… 1d88cb46-6e84-4b5b-b… https://cellx… <lgl [1]> kimberly.ald… #>  5 48d354f5-a5ca-4… 2862daa3-c933-43c8-9… https://cellx… <list>    Nathan.Salom… #>  6 43d4bb39-21af-4… 78360f02-1acc-415c-a… https://cellx… <lgl [1]> raymond.cho@… #>  7 f7cecffa-00b4-4… 43224f82-db2a-443c-9… https://cellx… <list>    st9@sanger.a… #>  8 f17b9205-f61f-4… 21ff4724-95e2-491b-8… https://cellx… <list>    genevieve.ko… #>  9 64b24fda-6591-4… e414854b-2666-4977-9… https://cellx… <lgl [1]> magness@med.… #> 10 48259aa8-f168-4… 44601b80-bd11-49d8-a… https://cellx… <lgl [1]> wtk22@cam.ac… #> # ℹ 173 more rows #> # ℹ 13 more variables: contact_name <chr>, curator_name <chr>, #> #   description <chr>, doi <chr>, links <list>, name <chr>, #> #   publisher_metadata <list>, revising_in <lgl>, revision_of <lgl>, #> #   visibility <chr>, created_at <date>, published_at <date>, revised_at <date>  collections(db) |>     dplyr::glimpse() #> Rows: 183 #> Columns: 18 #> $ collection_id         <chr> \"ceb895f4-ff9f-403a-b7c3-187a9657ac2c\", \"af893e8… #> $ collection_version_id <chr> \"ee098b5a-4f33-473b-b52a-0451de1f80ae\", \"768170a… #> $ collection_url        <chr> \"https://cellxgene.cziscience.com/collections/ce… #> $ consortia             <list> [\"BRAIN Initiative\"], [\"CZI Single-Cell Biology… #> $ contact_email         <chr> \"panagiotis.roussos@mssm.edu\", \"ruichen@bcm.edu\"… #> $ contact_name          <chr> \"Panos Roussos\", \"Rui Chen\", \"Wenjun Yan\", \"Kimb… #> $ curator_name          <chr> \"Corinn Sophia Small\", \"Jennifer Yu-Sheng Chien\"… #> $ description           <chr> \"We simultaneously profiled gene expression and … #> $ doi                   <chr> \"10.1126/sciadv.adg3754\", \"10.1016/j.xgen.2023.1… #> $ links                 <list> [[\"SCP1859\", \"OTHER\", \"https://singlecell.broad… #> $ name                  <chr> \"Multi-omic profiling of the developing human ce… #> $ publisher_metadata    <list> [[[\"Zhu\", \"Kaiyi\"], [\"Bendl\", \"Jaroslav\"], [\"Ra… #> $ revising_in           <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, … #> $ revision_of           <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, … #> $ visibility            <chr> \"PUBLIC\", \"PUBLIC\", \"PUBLIC\", \"PUBLIC\", \"PUBLIC\"… #> $ created_at            <date> 2023-12-12, 2023-12-11, 2023-12-12, 2023-12-11,… #> $ published_at          <date> 2023-08-28, 2021-10-29, 2023-02-10, 2023-08-31,… #> $ revised_at            <date> 2023-12-13, 2023-12-13, 2023-12-13, 2023-12-13,…  datasets(db) |>     dplyr::glimpse() #> Rows: 1,179 #> Columns: 31 #> $ dataset_id                 <chr> \"53ce2631-3646-4172-bbd9-38b0a44d8214\", \"1d… #> $ dataset_version_id         <chr> \"2f17c183-388a-4c08-9adb-a146833e57ab\", \"94… #> $ collection_id              <chr> \"ceb895f4-ff9f-403a-b7c3-187a9657ac2c\", \"ce… #> $ donor_id                   <list> [\"LaFet1\", \"LaFet2\", \"EaFet2\", \"EaFet1\", \"… #> $ assay                      <list> [[\"10x multiome\", \"EFO:0030059\"]], [[\"10x … #> $ batch_condition            <list> [\"donor_id\", \"batch\"], [\"donor_id\", \"batch… #> $ cell_count                 <int> 45549, 45549, 18011, 11617, 53040, 56507, 7… #> $ cell_type                  <list> [[\"astrocyte\", \"CL:0000127\"], [\"caudal gan… #> $ citation                   <chr> \"Publication: https://doi.org/10.1126/sciad… #> $ development_stage          <list> [[\"14-year-old human stage\", \"HsapDv:00001… #> $ disease                    <list> [[\"normal\", \"PATO:0000461\"]], [[\"normal\", … #> $ embeddings                 <list> [\"X_joint_wnn_umap\", \"X_umap\"], [\"X_joint_… #> $ explorer_url               <chr> \"https://cellxgene.cziscience.com/e/53ce263… #> $ feature_biotype            <list> [\"gene\"], [\"gene\"], [\"gene\"], [\"gene\"], [\"… #> $ feature_count              <int> 30113, 19492, 30933, 30933, 30933, 30933, 3… #> $ feature_reference          <list> [\"NCBITaxon:9606\"], [\"NCBITaxon:9606\"], [\"… #> $ is_primary_data            <list> [TRUE], [TRUE], [FALSE], [TRUE], [FALSE], … #> $ mean_genes_per_cell        <dbl> 1886.041, 4865.284, 2028.297, 4518.387, 222… #> $ organism                   <list> [[\"Homo sapiens\", \"NCBITaxon:9606\"]], [[\"H… #> $ primary_cell_count         <int> 45549, 45549, 0, 11617, 0, 0, 0, 244474, 0,… #> $ raw_data_location          <chr> \"raw.X\", \"raw.X\", \"raw.X\", \"raw.X\", \"raw.X\"… #> $ schema_version             <chr> \"4.0.0\", \"4.0.0\", \"4.0.0\", \"4.0.0\", \"4.0.0\"… #> $ self_reported_ethnicity    <list> [[\"unknown\", \"unknown\"]], [[\"unknown\", \"un… #> $ sex                        <list> [[\"female\", \"PATO:0000383\"], [\"male\", \"PAT… #> $ suspension_type            <list> [\"nucleus\"], [\"nucleus\"], [\"nucleus\"], [\"n… #> $ tissue                     <list> [[\"cortical plate\", \"UBERON:0005343\", \"tis… #> $ title                      <chr> \"10x scRNA-seq from human cortex\", \"10x scA… #> $ tombstone                  <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, F… #> $ x_approximate_distribution <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,… #> $ published_at               <date> 2023-08-28, 2023-08-28, 2021-10-29, 2021-1… #> $ revised_at                 <date> 2023-12-13, 2023-12-13, 2023-12-13, 2023-1…  # \\donttest{ if (interactive()) {     ## visualize the first dataset     datasets(db) |>         dplyr::slice(1) |>         datasets_visualize() } # } files(db) |>     dplyr::glimpse() #> Rows: 2,338 #> Columns: 4 #> $ dataset_id <chr> \"53ce2631-3646-4172-bbd9-38b0a44d8214\", \"53ce2631-3646-4172… #> $ filesize   <dbl> 406108808, 399752425, 906795740, 1060800682, 1071401902, 14… #> $ filetype   <chr> \"H5AD\", \"RDS\", \"H5AD\", \"RDS\", \"H5AD\", \"RDS\", \"H5AD\", \"RDS\",… #> $ url        <chr> \"https://datasets.cellxgene.cziscience.com/2f17c183-388a-4c…  if (FALSE) { files(db) |>     dplyr::slice(1) |>     files_download(dry.run = FALSE) }  ## common links to external data links(db) |>     dplyr::count(link_type) #> # A tibble: 5 × 2 #>   link_type       n #>   <chr>       <int> #> 1 DATA_SOURCE    35 #> 2 LAB_WEBSITE    38 #> 3 OTHER         333 #> 4 PROTOCOL       44 #> 5 RAW_DATA      275  ## authors per collection authors() |>     dplyr::count(collection_id, sort = TRUE) #> # A tibble: 173 × 2 #>    collection_id                            n #>    <chr>                                <int> #>  1 e5f58829-1a66-40b5-a624-9046778e74f5   221 #>  2 8f126edf-5405-4731-8374-b5ce11f53e82   205 #>  3 bcb61471-2a44-4d00-a0af-ff085512674c   171 #>  4 4f586cb6-972b-4ef7-a4ef-3c3800a3c004   147 #>  5 0b9d8a04-bb9d-44da-aa27-705bb65b54eb   135 #>  6 367d95c0-0eb0-4dae-8276-9407239421ee   106 #>  7 6f6d381a-7701-4781-935c-db10d30de293    98 #>  8 1ca90a2d-2943-483d-b678-b809bf464c30    94 #>  9 0a839c4b-10d0-4d64-9272-684c49a2c8ba    90 #> 10 ae1420fe-6630-46ed-8b3d-cc6056a66467    83 #> # ℹ 163 more rows  publisher_metadata() |>     dplyr::glimpse() #> Rows: 173 #> Columns: 9 #> $ collection_id   <chr> \"ceb895f4-ff9f-403a-b7c3-187a9657ac2c\", \"af893e86-8e9f… #> $ name            <chr> \"Multi-omic profiling of the developing human cerebral… #> $ is_preprint     <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE… #> $ journal         <chr> \"Sci. Adv.\", \"Cell Genomics\", \"Sci Rep\", \"Nat Neurosci… #> $ published_at    <date> 2023-10-13, 2023-06-01, 2020-06-17, 2021-08-01, 2021-… #> $ published_year  <int> 2023, 2023, 2020, 2021, 2021, 2018, 2022, 2021, 2022, … #> $ published_month <int> 10, 6, 6, 8, 3, 10, 12, 7, 1, 4, 12, 6, 9, 8, 10, 2, 1… #> $ published_day   <int> 13, 1, 17, 1, 12, 1, 1, 1, 1, 21, 1, 15, 6, 1, 1, 1, 1… #> $ doi             <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…"},{"path":"https://mtmorgan.github.io/cellxgenedp/news/index.html","id":"cellxgenedp-18","dir":"Changelog","previous_headings":"","what":"cellxgenedp 1.8","title":"cellxgenedp 1.8","text":"(v 1.7.2) Add vignette ‘Case studies’, include identifying dataset authors using ontolgies identify datasets (v 1.7.1) Update vignette section dataset visualization accomodate changes ‘Discover’ API. https://github.com/mtmorgan/cellxgenedp/issues/15","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/news/index.html","id":"cellxgenedp-16","dir":"Changelog","previous_headings":"","what":"cellxgenedp 1.6","title":"cellxgenedp 1.6","text":"(v 1.5.2) use CELLxGENE ‘Discover’ API, changing column names return values. See ‘API changes’ ‘Discover download datasets…’ vignette.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/news/index.html","id":"cellxgenedp-14","dir":"Changelog","previous_headings":"","what":"cellxgenedp 1.4","title":"cellxgenedp 1.4","text":"SIGNIFICANT USER-VISIBLE CHANGES (v 1.3.3) add publisher_metadata(), authors(), links() make access nested ‘collections()’ data straight-forward","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/news/index.html","id":"cellxgenedp-12","dir":"Changelog","previous_headings":"","what":"cellxgenedp 1.2","title":"cellxgenedp 1.2","text":"SIGNIFICANT USER-VISIBLE CHANGES (v. 1.1.4) allow custom files_download() cache. Thanks @stemangiola, https://github.com/mtmorgan/cellxgenedp/pull/9 (v. 1.1.6) datasets ethnicity field renamed self_reported_ethnicity (v. 1.1.7) use zellkonverter’s basilisk-based Python parser read H5AD files vignette, see https://github.com/theislab/zellkonverter/issues/78 (v. 1.1.2) reset cache build machines weekly (v. 1.1.6) use {rjsoncons} CRAN package queries, rather local implementation. Thanks @LiNk-NY, https://github.com/mtmorgan/cellxgenedp/pull/12","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/news/index.html","id":"cellxgenedp-007","dir":"Changelog","previous_headings":"","what":"cellxgenedp 0.0.7","title":"cellxgenedp 0.0.7","text":"(v. 0.0.7) make errors local cache update accessible; see https://github.com/mtmorgan/cellxgenedp/issues/1","code":""}]
+[{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"installation-and-use","dir":"Articles","previous_headings":"","what":"Installation and use","title":"Discovery and retrieval","text":"package available Bioconductor version 3.15 later. following code installs cellxgenedp Bioconductor Alternatively, install ‘development’ version GitHub (see GitHub.io current documentation) also install additional packages required vignette, use Load package current R session. make extensive use dplyr packages, end vignette use SingleCellExperiment zellkonverter, load well.","code":"if (!\"BiocManager\" %in% rownames(installed.packages()))     install.packages(\"BiocManager\", repos = \"https://CRAN.R-project.org\") BiocManager::install(\"cellxgenedp\") if (!\"remotes\" %in% rownames(installed.packages()))     install.packages(\"remotes\", repos = \"https://CRAN.R-project.org\") remotes::install_github(\"mtmorgan/cellxgenedp\") pkgs <- c(\"tidyr\", \"zellkonverter\", \"SingleCellExperiment\", \"HDF5Array\") required_pkgs <- pkgs[!pkgs %in% rownames(installed.packages())] BiocManager::install(required_pkgs) library(zellkonverter) library(SingleCellExperiment) # load early to avoid masking dplyr::count() library(dplyr) library(cellxgenedp)"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"cxg-provides-a-shiny-interface","dir":"Articles","previous_headings":"","what":"cxg() Provides a ‘shiny’ interface","title":"Discovery and retrieval","text":"following sections outline use cellxgenedp package R script; functionality also available cxg() shiny application, providing easy way identify, download, visualize one several datasets. Start app choose project first tab, dataset visualization, one datasets download!","code":"cxg()"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"collections-datasets-and-files","dir":"Articles","previous_headings":"","what":"Collections, datasets and files","title":"Discovery and retrieval","text":"Retrieve metadata resources available cellxgene data portal using db(): Printing db object provides brief overview available data, well hints, form functions like collections(), exploration. portal organizes data hierarchically, ‘collections’ (research studies, approximately), ‘datasets’, ‘files’. Discover data using corresponding functions. resources unique primary identifier (e.g., file_id) well identifier describing relationship resource components database (e.g., dataset_id). identifiers can used ‘join’ information across tables.","code":"db <- db() db ## cellxgene_db ## number of collections(): 198 ## number of datasets(): 1285 ## number of files(): 2538 collections(db) ## # A tibble: 198 × 18 ##    collection_id    collection_version_id collection_url consortia contact_email ##    <chr>            <chr>                 <chr>          <list>    <chr>         ##  1 59c9ecfe-c47d-4… 8db59637-4b42-4195-b… https://cellx… <lgl [1]> twc@stanford… ##  2 a18474f4-ff1e-4… e1078e5b-da88-49d8-b… https://cellx… <lgl [1]> kpn2114@colu… ##  3 f5af7a2f-ab4c-4… cb80d978-a1a2-4696-8… https://cellx… <lgl [1]> Yanling_Liao… ##  4 aee9c366-f2fb-4… 62fc92b9-92f9-4f6f-9… https://cellx… <lgl [1]> kjensen@tgen… ##  5 c26ca66a-63ea-4… 9b5f598e-b5d6-4d83-a… https://cellx… <lgl [1]> semil.choksi… ##  6 e5f58829-1a66-4… 519f5ac5-1f84-4b48-9… https://cellx… <chr [2]> angela.pisco… ##  7 b52eb423-5d0d-4… e75822ca-72d5-4d7f-a… https://cellx… <chr [2]> st9@sanger.a… ##  8 e3aa612b-0d7d-4… 8bfe4964-eab1-4ae8-b… https://cellx… <chr [1]> hongkuiz@all… ##  9 1b014f39-f202-4… 8b7765f4-c81a-46fe-a… https://cellx… <lgl [1]> kimberly.ald… ## 10 48d354f5-a5ca-4… be9483df-dbbd-421f-b… https://cellx… <chr [1]> Nathan.Salom… ## # ℹ 188 more rows ## # ℹ 13 more variables: contact_name <chr>, curator_name <chr>, ## #   description <chr>, doi <chr>, links <list>, name <chr>, ## #   publisher_metadata <list>, revising_in <lgl>, revision_of <lgl>, ## #   visibility <chr>, created_at <date>, published_at <date>, revised_at <date> datasets(db) ## # A tibble: 1,285 × 32 ##    dataset_id   dataset_version_id collection_id donor_id assay  batch_condition ##    <chr>        <chr>              <chr>         <list>   <list> <list>          ##  1 595c9010-99… b4645848-e3d8-492… 59c9ecfe-c47… <chr>    <list> <lgl [1]>       ##  2 2f05ab20-a0… 3b715360-b0ae-4e5… 59c9ecfe-c47… <chr>    <list> <lgl [1]>       ##  3 faed4f71-6b… 1cd4f84b-7fe4-463… a18474f4-ff1… <chr>    <list> <lgl [1]>       ##  4 e5233a94-9e… 80d1f22a-8f51-49d… a18474f4-ff1… <chr>    <list> <lgl [1]>       ##  5 9b188f26-c8… 1c158adf-90ea-47b… a18474f4-ff1… <chr>    <list> <lgl [1]>       ##  6 94423ec1-21… 7c4220a8-ce41-49f… a18474f4-ff1… <chr>    <list> <lgl [1]>       ##  7 7bb64315-9e… 9ec33c56-14a4-481… a18474f4-ff1… <chr>    <list> <lgl [1]>       ##  8 773b9b2e-70… f186deb1-4926-404… a18474f4-ff1… <chr>    <list> <lgl [1]>       ##  9 63bb6359-39… a5df7f5b-34d8-421… a18474f4-ff1… <chr>    <list> <lgl [1]>       ## 10 03d5794d-cd… 8db806f1-a518-4a2… a18474f4-ff1… <chr>    <list> <lgl [1]>       ## # ℹ 1,275 more rows ## # ℹ 26 more variables: cell_count <int>, cell_type <list>, citation <chr>, ## #   default_embedding <chr>, development_stage <list>, disease <list>, ## #   embeddings <list>, explorer_url <chr>, feature_biotype <list>, ## #   feature_count <int>, feature_reference <list>, is_primary_data <list>, ## #   mean_genes_per_cell <dbl>, organism <list>, primary_cell_count <int>, ## #   raw_data_location <chr>, schema_version <chr>, … files(db) ## # A tibble: 2,538 × 4 ##    dataset_id                             filesize filetype url                  ##    <chr>                                     <dbl> <chr>    <chr>                ##  1 595c9010-99ec-462d-b6a1-2b2fe5407871  333391557 H5AD     https://datasets.ce… ##  2 595c9010-99ec-462d-b6a1-2b2fe5407871  348066008 RDS      https://datasets.ce… ##  3 2f05ab20-a092-4bab-9276-3e0eb24e3fee  630668977 H5AD     https://datasets.ce… ##  4 2f05ab20-a092-4bab-9276-3e0eb24e3fee  683935787 RDS      https://datasets.ce… ##  5 faed4f71-6b50-4fc7-bd1c-8f385dccfdce   31737910 H5AD     https://datasets.ce… ##  6 faed4f71-6b50-4fc7-bd1c-8f385dccfdce   26350706 RDS      https://datasets.ce… ##  7 e5233a94-9e43-418c-8209-6f1400c31530 1321449650 H5AD     https://datasets.ce… ##  8 e5233a94-9e43-418c-8209-6f1400c31530 1311136088 RDS      https://datasets.ce… ##  9 9b188f26-c8e1-4a78-af15-622a35a371fc   36324999 H5AD     https://datasets.ce… ## 10 9b188f26-c8e1-4a78-af15-622a35a371fc   30585807 RDS      https://datasets.ce… ## # ℹ 2,528 more rows"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"using-dplyr-to-navigate-data","dir":"Articles","previous_headings":"Collections, datasets and files","what":"Using dplyr to navigate data","title":"Discovery and retrieval","text":"collection may several datasets, datasets may several files. instance, collection datasets can find collection joining collections() table. can take similar strategy identify datasets belonging collection","code":"collection_with_most_datasets <-     datasets(db) |>     count(collection_id, sort = TRUE) |>     slice(1) left_join(     collection_with_most_datasets |> select(collection_id),     collections(db),     by = \"collection_id\" ) |> glimpse() ## Rows: 1 ## Columns: 18 ## $ collection_id         <chr> \"283d65eb-dd53-496d-adb7-7570c7caa443\" ## $ collection_version_id <chr> \"c9c120ca-7605-43b0-9ef5-728392d708f5\" ## $ collection_url        <chr> \"https://cellxgene.cziscience.com/collections/28… ## $ consortia             <list> <\"BRAIN Initiative\", \"CZI Single-Cell Biology\"> ## $ contact_email         <chr> \"kimberly.siletti@ki.se\" ## $ contact_name          <chr> \"Kimberly Siletti\" ## $ curator_name          <chr> \"James Chaffer\" ## $ description           <chr> \"First draft atlas of human brain transcriptomic… ## $ doi                   <chr> \"10.1126/science.add7046\" ## $ links                 <list> [[\"\", \"RAW_DATA\", \"http://data.nemoarchive.org/b… ## $ name                  <chr> \"Human Brain Cell Atlas v1.0\" ## $ publisher_metadata    <list> [[[\"Siletti\", \"Kimberly\"], [\"Hodge\", \"Rebecca\"]… ## $ revising_in           <lgl> NA ## $ revision_of           <lgl> NA ## $ visibility            <chr> \"PUBLIC\" ## $ created_at            <date> 2024-03-19 ## $ published_at          <date> 2022-12-09 ## $ revised_at            <date> 2024-03-22 left_join(     collection_with_most_datasets |> select(collection_id),     datasets(db),     by = \"collection_id\" ) ## # A tibble: 138 × 32 ##    collection_id   dataset_id dataset_version_id donor_id assay  batch_condition ##    <chr>           <chr>      <chr>              <list>   <list> <list>          ##  1 283d65eb-dd53-… ff7d15fa-… 1846f7ed-d11e-44f… <chr>    <list> <chr [1]>       ##  2 283d65eb-dd53-… fe1a73ab-… 5e5db76a-4390-41a… <chr>    <list> <chr [1]>       ##  3 283d65eb-dd53-… fbf173f9-… a7334adc-f8e7-443… <chr>    <list> <chr [1]>       ##  4 283d65eb-dd53-… fa554686-… 9bc5af53-e980-484… <chr>    <list> <chr [1]>       ##  5 283d65eb-dd53-… f9034091-… 71809c6b-c83a-497… <chr>    <list> <chr [1]>       ##  6 283d65eb-dd53-… f8dda921-… 4fc4d6fb-f105-4f9… <chr>    <list> <chr [1]>       ##  7 283d65eb-dd53-… f7d003d4-… c8b0535b-bc4f-478… <chr>    <list> <chr [1]>       ##  8 283d65eb-dd53-… f6d9f2ad-… dc08c31c-6629-49d… <chr>    <list> <chr [1]>       ##  9 283d65eb-dd53-… f5a04dff-… 2e56729d-ee10-419… <chr>    <list> <chr [1]>       ## 10 283d65eb-dd53-… f502c312-… a3fa88de-cbbe-404… <chr>    <list> <chr [1]>       ## # ℹ 128 more rows ## # ℹ 26 more variables: cell_count <int>, cell_type <list>, citation <chr>, ## #   default_embedding <chr>, development_stage <list>, disease <list>, ## #   embeddings <list>, explorer_url <chr>, feature_biotype <list>, ## #   feature_count <int>, feature_reference <list>, is_primary_data <list>, ## #   mean_genes_per_cell <dbl>, organism <list>, primary_cell_count <int>, ## #   raw_data_location <chr>, schema_version <chr>, …"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"facets-provides-information-on-levels-present-in-specific-columns","dir":"Articles","previous_headings":"Collections, datasets and files","what":"facets() provides information on ‘levels’ present in specific columns","title":"Discovery and retrieval","text":"Notice columns ‘lists’ rather atomic vectors like ‘character’ ‘integer’. indicates least datasets one type assay, cell_type, etc. facets() function provides convenient way discovering possible levels column, e.g., assay, organism, self_reported_ethnicity, sex, number datasets label.","code":"datasets(db) |>     select(where(is.list)) ## # A tibble: 1,285 × 15 ##    donor_id   assay      batch_condition cell_type   development_stage disease ##    <list>     <list>     <list>          <list>      <list>            <list>  ##  1 <chr [14]> <list [1]> <lgl [1]>       <list [7]>  <list [13]>       <list>  ##  2 <chr [16]> <list [1]> <lgl [1]>       <list [13]> <list [14]>       <list>  ##  3 <chr [39]> <list [2]> <lgl [1]>       <list [3]>  <list [25]>       <list>  ##  4 <chr [43]> <list [2]> <lgl [1]>       <list [31]> <list [28]>       <list>  ##  5 <chr [37]> <list [2]> <lgl [1]>       <list [1]>  <list [23]>       <list>  ##  6 <chr [42]> <list [2]> <lgl [1]>       <list [5]>  <list [27]>       <list>  ##  7 <chr [70]> <list [3]> <lgl [1]>       <list [31]> <list [39]>       <list>  ##  8 <chr [42]> <list [2]> <lgl [1]>       <list [10]> <list [27]>       <list>  ##  9 <chr [41]> <list [2]> <lgl [1]>       <list [7]>  <list [26]>       <list>  ## 10 <chr [40]> <list [2]> <lgl [1]>       <list [4]>  <list [26]>       <list>  ## # ℹ 1,275 more rows ## # ℹ 9 more variables: embeddings <list>, feature_biotype <list>, ## #   feature_reference <list>, is_primary_data <list>, organism <list>, ## #   self_reported_ethnicity <list>, sex <list>, suspension_type <list>, ## #   tissue <list> facets(db, \"assay\") ## # A tibble: 38 × 4 ##    facet label                          ontology_term_id     n ##    <chr> <chr>                          <chr>            <int> ##  1 assay 10x 3' v3                      EFO:0009922        607 ##  2 assay 10x 3' v2                      EFO:0009899        271 ##  3 assay Slide-seqV2                    EFO:0030062        223 ##  4 assay Visium Spatial Gene Expression EFO:0010961        131 ##  5 assay 10x 5' v1                      EFO:0011025         90 ##  6 assay Smart-seq2                     EFO:0008931         63 ##  7 assay 10x multiome                   EFO:0030059         62 ##  8 assay sci-RNA-seq                    EFO:0010550         33 ##  9 assay 10x 5' v2                      EFO:0009900         24 ## 10 assay 10x 5' transcription profiling EFO:0030004         21 ## # ℹ 28 more rows facets(db, \"self_reported_ethnicity\") ## # A tibble: 33 × 4 ##    facet                   label                          ontology_term_id     n ##    <chr>                   <chr>                          <chr>            <int> ##  1 self_reported_ethnicity European                       HANCESTRO:0005     544 ##  2 self_reported_ethnicity unknown                        unknown            435 ##  3 self_reported_ethnicity na                             na                 375 ##  4 self_reported_ethnicity Asian                          HANCESTRO:0008     143 ##  5 self_reported_ethnicity Hispanic or Latin American     HANCESTRO:0014      63 ##  6 self_reported_ethnicity African American               HANCESTRO:0568      62 ##  7 self_reported_ethnicity Native American,Hispanic or L… HANCESTRO:0013,…    50 ##  8 self_reported_ethnicity African American or Afro-Cari… HANCESTRO:0016      32 ##  9 self_reported_ethnicity Greater Middle Eastern  (Midd… HANCESTRO:0015      22 ## 10 self_reported_ethnicity African                        HANCESTRO:0010      19 ## # ℹ 23 more rows facets(db, \"sex\") ## # A tibble: 3 × 4 ##   facet label   ontology_term_id     n ##   <chr> <chr>   <chr>            <int> ## 1 sex   male    PATO:0000384       987 ## 2 sex   female  PATO:0000383       763 ## 3 sex   unknown unknown            190"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"filtering-faceted-columns","dir":"Articles","previous_headings":"Collections, datasets and files","what":"Filtering faceted columns","title":"Discovery and retrieval","text":"Suppose interested finding datasets 10x 3’ v3 assay (ontology_term_id EFO:0009922) containing individuals African American ethnicity, female sex. Use facets_filter() utility function filter data sets needed Use nrow(african_american_female) find number datasets satisfying criteria. looks like cells sequenced (dataset may contain cells several ethnicities, well males individuals unknown gender, know actual number cells available without downloading files). Use left_join identify corresponding collections:","code":"african_american_female <-     datasets(db) |>     filter(         facets_filter(assay, \"ontology_term_id\", \"EFO:0009922\"),         facets_filter(self_reported_ethnicity, \"label\", \"African American\"),         facets_filter(sex, \"label\", \"female\")     ) african_american_female |>     summarise(total_cell_count = sum(cell_count)) ## # A tibble: 1 × 1 ##   total_cell_count ##              <int> ## 1          4419584 ## collections left_join(     african_american_female |> select(collection_id) |> distinct(),     collections(db),     by = \"collection_id\" ) ## # A tibble: 14 × 18 ##    collection_id    collection_version_id collection_url consortia contact_email ##    <chr>            <chr>                 <chr>          <list>    <chr>         ##  1 62e8f058-9c37-4… 645d7ef5-f8ab-4b40-8… https://cellx… <chr [1]> chanj3@mskcc… ##  2 4195ab4c-20bd-4… 4bb38c2f-9c6a-4895-b… https://cellx… <chr [1]> nnavin@mdand… ##  3 b9fc3d70-5a72-4… a73587fc-5019-46e2-a… https://cellx… <chr [1]> bruce.aronow… ##  4 f17b9205-f61f-4… 87279d9b-8ab2-4e10-9… https://cellx… <chr [1]> genevieve.ko… ##  5 cec4ef8e-1e70-4… 7b72315c-9210-459a-b… https://cellx… <lgl [1]> Ryan.Logan@u… ##  6 bcb61471-2a44-4… 447d101d-5306-4321-a… https://cellx… <chr [3]> info@kpmp.org ##  7 c9706a92-0e5f-4… 04464954-ab11-4a56-b… https://cellx… <chr [1]> hnakshat@iup… ##  8 72d37bc9-76cc-4… e95dbb27-c619-4f2d-9… https://cellx… <chr [1]> m.sepp@zmbh.… ##  9 625f6bf4-2f33-4… fb5e1588-a7ee-41d6-a… https://cellx… <chr [1]> a5wang@healt… ## 10 e1fa9900-3fc9-4… 93bc2a17-6fb0-4329-9… https://cellx… <lgl [1]> j.ma@yale.edu ## 11 a98b828a-622a-4… 93db548a-c8de-4581-a… https://cellx… <chr [1]> markusbi@med… ## 12 6b701826-37bb-4… d63af6c4-1427-4237-a… https://cellx… <chr [1]> astreets@ber… ## 13 b953c942-f5d8-4… 4ac10bd3-3a86-4356-b… https://cellx… <lgl [1]> icobos@stanf… ## 14 71f4bccf-53d4-4… 7a0d0734-79cc-48fd-9… https://cellx… <chr [1]> kevinmbyrd@g… ## # ℹ 13 more variables: contact_name <chr>, curator_name <chr>, ## #   description <chr>, doi <chr>, links <list>, name <chr>, ## #   publisher_metadata <list>, revising_in <lgl>, revision_of <lgl>, ## #   visibility <chr>, created_at <date>, published_at <date>, revised_at <date>"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"publication-and-other-external-data","dir":"Articles","previous_headings":"Collections, datasets and files","what":"Publication and other external data","title":"Discovery and retrieval","text":"Many collections include publication information external data. information available return value collections(), helper function publisher_metadata(), authors(), links() may facilitate access. Suppose one interested publication “single-cell atlas healthy breast tissues reveals clinically relevant clusters breast epithelial cells”. Discover collections Use collection_id extract publisher metadata (including DOI available) author information Collections may links additional external data, case DOI two links RAW_DATA. Conversely, knowledge DOI, etc., can used discover details corresponding collection.","code":"title_of_interest <- paste(     \"A single-cell atlas of the healthy breast tissues reveals clinically\",     \"relevant clusters of breast epithelial cells\" ) collection_of_interest <-     collections(db) |>     dplyr::filter(startsWith(name, title_of_interest)) collection_of_interest |>     glimpse() ## Rows: 1 ## Columns: 18 ## $ collection_id         <chr> \"c9706a92-0e5f-46c1-96d8-20e42467f287\" ## $ collection_version_id <chr> \"04464954-ab11-4a56-b136-e924b750f1bd\" ## $ collection_url        <chr> \"https://cellxgene.cziscience.com/collections/c9… ## $ consortia             <list> \"CZI Single-Cell Biology\" ## $ contact_email         <chr> \"hnakshat@iupui.edu\" ## $ contact_name          <chr> \"Harikrishna Nakshatri\" ## $ curator_name          <chr> \"Jennifer Yu-Sheng Chien\" ## $ description           <chr> \"Single-cell RNA sequencing (scRNA-seq) is an ev… ## $ doi                   <chr> \"10.1016/j.xcrm.2021.100219\" ## $ links                 <list> [[\"\", \"RAW_DATA\", \"https://data.humancellatlas.o… ## $ name                  <chr> \"A single-cell atlas of the healthy breast tiss… ## $ publisher_metadata    <list> [[[\"Bhat-Nakshatri\", \"Poornima\"], [\"Gao\", \"Hongy… ## $ revising_in           <lgl> NA ## $ revision_of           <lgl> NA ## $ visibility            <chr> \"PUBLIC\" ## $ created_at            <date> 2024-03-19 ## $ published_at          <date> 2021-03-25 ## $ revised_at            <date> 2024-03-22 collection_id_of_interest <- pull(collection_of_interest, \"collection_id\") publisher_metadata(db) |>     filter(collection_id == collection_id_of_interest) |>     glimpse() ## Rows: 1 ## Columns: 9 ## $ collection_id   <chr> \"c9706a92-0e5f-46c1-96d8-20e42467f287\" ## $ name            <chr> \"A single-cell atlas of the healthy breast tissues rev… ## $ is_preprint     <lgl> FALSE ## $ journal         <chr> \"Cell Reports Medicine\" ## $ published_at    <date> 2021-03-01 ## $ published_year  <int> 2021 ## $ published_month <int> 3 ## $ published_day   <int> 1 ## $ doi             <chr> NA authors(db) |>     filter(collection_id == collection_id_of_interest) ## # A tibble: 12 × 4 ##    collection_id                        family         given       consortium ##    <chr>                                <chr>          <chr>       <chr>      ##  1 c9706a92-0e5f-46c1-96d8-20e42467f287 Bhat-Nakshatri Poornima    NA         ##  2 c9706a92-0e5f-46c1-96d8-20e42467f287 Gao            Hongyu      NA         ##  3 c9706a92-0e5f-46c1-96d8-20e42467f287 Sheng          Liu         NA         ##  4 c9706a92-0e5f-46c1-96d8-20e42467f287 McGuire        Patrick C.  NA         ##  5 c9706a92-0e5f-46c1-96d8-20e42467f287 Xuei           Xiaoling    NA         ##  6 c9706a92-0e5f-46c1-96d8-20e42467f287 Wan            Jun         NA         ##  7 c9706a92-0e5f-46c1-96d8-20e42467f287 Liu            Yunlong     NA         ##  8 c9706a92-0e5f-46c1-96d8-20e42467f287 Althouse       Sandra K.   NA         ##  9 c9706a92-0e5f-46c1-96d8-20e42467f287 Colter         Austyn      NA         ## 10 c9706a92-0e5f-46c1-96d8-20e42467f287 Sandusky       George      NA         ## 11 c9706a92-0e5f-46c1-96d8-20e42467f287 Storniolo      Anna Maria  NA         ## 12 c9706a92-0e5f-46c1-96d8-20e42467f287 Nakshatri      Harikrishna NA external_links <- links(db) external_links ## # A tibble: 776 × 4 ##    collection_id                        link_name       link_type   link_url     ##    <chr>                                <chr>           <chr>       <chr>        ##  1 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b GSE159812       RAW_DATA    https://www… ##  2 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b NA              DATA_SOURCE https://twc… ##  3 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b NA              LAB_WEBSITE https://www… ##  4 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b NA              LAB_WEBSITE https://web… ##  5 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b NA              RAW_DATA    https://dat… ##  6 a18474f4-ff1e-4864-af69-270b956cee5b EGAD00001010074 RAW_DATA    https://ega… ##  7 a18474f4-ff1e-4864-af69-270b956cee5b NA              OTHER       https://git… ##  8 f5af7a2f-ab4c-4728-829e-48efb9562105 GSE222250       RAW_DATA    https://www… ##  9 aee9c366-f2fb-470b-8937-577d5d87d3fc Synapse         RAW_DATA    https://www… ## 10 e5f58829-1a66-40b5-a624-9046778e74f5 NA              RAW_DATA    https://reg… ## # ℹ 766 more rows external_links |>     count(link_type) ## # A tibble: 5 × 2 ##   link_type       n ##   <chr>       <int> ## 1 DATA_SOURCE    36 ## 2 LAB_WEBSITE    42 ## 3 OTHER         351 ## 4 PROTOCOL       45 ## 5 RAW_DATA      302 external_links |>     filter(collection_id == collection_id_of_interest) ## # A tibble: 2 × 4 ##   collection_id                        link_name link_type link_url              ##   <chr>                                <chr>     <chr>     <chr>                 ## 1 c9706a92-0e5f-46c1-96d8-20e42467f287 NA        RAW_DATA  https://data.humance… ## 2 c9706a92-0e5f-46c1-96d8-20e42467f287 NA        RAW_DATA  https://www.ncbi.nlm… doi_of_interest <- \"https://doi.org/10.1016/j.stem.2018.12.011\" links(db) |>     filter(link_url == doi_of_interest) |>     left_join(collections(db), by = \"collection_id\") |>     glimpse() ## Rows: 1 ## Columns: 21 ## $ collection_id         <chr> \"b1a879f6-5638-48d3-8f64-f6592c1b1561\" ## $ link_name             <chr> \"PSC-ATO protocol\" ## $ link_type             <chr> \"PROTOCOL\" ## $ link_url              <chr> \"https://doi.org/10.1016/j.stem.2018.12.011\" ## $ collection_version_id <chr> \"1265f8ec-9918-499a-8b7d-ede70c8d77c0\" ## $ collection_url        <chr> \"https://cellxgene.cziscience.com/collections/b1… ## $ consortia             <list> <\"CZI Single-Cell Biology\", \"Wellcome HCA Strate… ## $ contact_email         <chr> \"st9@sanger.ac.uk\" ## $ contact_name          <chr> \"Sarah Teichmann\" ## $ curator_name          <chr> \"Batuhan Cakir\" ## $ description           <chr> \"Single-cell genomics studies have decoded the i… ## $ doi                   <chr> \"10.1126/science.abo0510\" ## $ links                 <list> [[\"scVI Models\", \"DATA_SOURCE\", \"https://develop… ## $ name                  <chr> \"Mapping the developing human immune system acro… ## $ publisher_metadata    <list> [[[\"Suo\", \"Chenqu\"], [\"Dann\", \"Emma\"], [\"Goh\", \"… ## $ revising_in           <lgl> NA ## $ revision_of           <lgl> NA ## $ visibility            <chr> \"PUBLIC\" ## $ created_at            <date> 2024-03-19 ## $ published_at          <date> 2022-10-04 ## $ revised_at            <date> 2024-03-22"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"visualizing-data-in-cellxgene","dir":"Articles","previous_headings":"","what":"Visualizing data in cellxgene","title":"Discovery and retrieval","text":"Visualization straight-forward dataset_id available. example, visualize first dataset african_american_female, use Visualization interactive process, datasets_visualize() open 5 browser tabs per call.","code":"african_american_female |>     ## use criteria to identify a single dataset (here just the     ## 'first' dataset), then visualize     slice(1) |>     datasets_visualize()"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"file-download-and-use","dir":"Articles","previous_headings":"","what":"File download and use","title":"Discovery and retrieval","text":"Datasets usually contain H5AD (files produced python AnnData module), Rds (serialized files produced R Seurat package). Rds files may unreadable version Seurat used create file different version used read file. therefore focus H5AD files. illustration, find files associated studies African American females download one selected files. choose single dataset H5AD file download downloaded local cache (use internal function cellxgenedp:::.cellxgenedb_cache_path() location cache), process time-consuming first time. H5AD files can converted R / Bioconductor objects using zellkonverter package. SingleCellExperiment object matrix-like object rows corresponding genes columns cells. Thus can easily explore cells present data.","code":"selected_files <-     left_join(         african_american_female |> select(dataset_id),         files(db),         by = \"dataset_id\"     ) local_file <-     selected_files |>     filter(         dataset_id == \"de985818-285f-4f59-9dbd-d74968fddba3\",         filetype == \"H5AD\"     ) |>     files_download(dry.run = FALSE) basename(local_file) ## [1] \"dba8eab1-fb75-4a40-be68-2bcd8094ac52.h5ad\" h5ad <- readH5AD(local_file, use_hdf5 = TRUE, reader = \"R\") h5ad ## class: SingleCellExperiment  ## dim: 33145 31696  ## metadata(5): citation default_embedding schema_reference schema_version ##   title ## assays(1): X ## rownames(33145): ENSG00000243485 ENSG00000237613 ... ENSG00000277475 ##   ENSG00000268674 ## rowData names(5): feature_is_filtered feature_name feature_reference ##   feature_biotype feature_length ## colnames(31696): CMGpool_AAACCCAAGGACAACC CMGpool_AAACCCACAATCTCTT ... ##   K109064_TTTGTTGGTTGCATCA K109064_TTTGTTGGTTGGACCC ## colData names(36): donor_id self_reported_ethnicity_ontology_term_id ##   ... development_stage observation_joinid ## reducedDimNames(3): X_pca X_tsne X_umap ## mainExpName: NULL ## altExpNames(0): h5ad |>     colData(h5ad) |>     as_tibble() |>     count(sex, donor_id) ## # A tibble: 7 × 3 ##   sex    donor_id                     n ##   <fct>  <fct>                    <int> ## 1 female D1                        2303 ## 2 female D2                         864 ## 3 female D3                        2517 ## 4 female D4                        1771 ## 5 female D5                        2244 ## 6 female D11                       7454 ## 7 female pooled [D9,D7,D8,D10,D6] 14543"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"next-steps","dir":"Articles","previous_headings":"","what":"Next steps","title":"Discovery and retrieval","text":"Orchestrating Single-Cell Analysis Bioconductor online resource provides excellent introduction analysis visualization single-cell data R / Bioconductor. Extensive opportunities working AnnData objects R using native python interface briefly described , e.g., ?AnnData2SCE help page zellkonverter. hca package provides programmatic access Human Cell Atlas data portal, allowing retrieval primary well derived single-cell data files.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"api-changes","dir":"Articles","previous_headings":"","what":"API changes","title":"Discovery and retrieval","text":"Data access provided CELLxGENE changed new ‘Discover’ API. main functionality cellxgenedp package changed, specific columns removed, replaced added, follows: collections() Removed: access_type, data_submission_policy_version Replaced: updated_at replaced revised_at Added: collection_version_id, collection_url, doi, revising_in, revision_of datasets() Removed: is_valid, processing_status, published, revision, created_at Replaced: dataset_deployments replaced explorer_url, name replaced title, updated_at replaced revised_at Added: dataset_version_id, batch_condition, x_approximate_distribution files() Removed: file_id, filename, s3_uri, user_submitted, created_at, updated_at Added: filesize, url","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/a_using_cellxgenedp.html","id":"session-info","dir":"Articles","previous_headings":"","what":"Session info","title":"Discovery and retrieval","text":"","code":"## R version 4.3.3 (2024-02-29) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 22.04.4 LTS ##  ## Matrix products: default ## BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  ## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 ##  ## locale: ##  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        ##  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    ##  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           ## [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    ##  ## time zone: UTC ## tzcode source: system (glibc) ##  ## attached base packages: ## [1] stats4    stats     graphics  grDevices utils     datasets  methods   ## [8] base      ##  ## other attached packages: ##  [1] cellxgenedp_1.7.3           dplyr_1.1.4                 ##  [3] SingleCellExperiment_1.24.0 SummarizedExperiment_1.32.0 ##  [5] Biobase_2.62.0              GenomicRanges_1.54.1        ##  [7] GenomeInfoDb_1.38.8         IRanges_2.36.0              ##  [9] S4Vectors_0.40.2            BiocGenerics_0.48.1         ## [11] MatrixGenerics_1.14.0       matrixStats_1.2.0           ## [13] zellkonverter_1.12.1        BiocStyle_2.30.0            ##  ## loaded via a namespace (and not attached): ##  [1] tidyselect_1.2.1        filelock_1.0.3          bitops_1.0-7            ##  [4] fastmap_1.1.1           RCurl_1.98-1.14         promises_1.2.1          ##  [7] digest_0.6.35           mime_0.12               lifecycle_1.0.4         ## [10] magrittr_2.0.3          compiler_4.3.3          rlang_1.1.3             ## [13] sass_0.4.9              tools_4.3.3             utf8_1.2.4              ## [16] yaml_2.3.8              knitr_1.45              S4Arrays_1.2.1          ## [19] htmlwidgets_1.6.4       curl_5.2.1              reticulate_1.35.0       ## [22] DelayedArray_0.28.0     abind_1.4-5             HDF5Array_1.30.1        ## [25] withr_3.0.0             purrr_1.0.2             desc_1.4.3              ## [28] grid_4.3.3              fansi_1.0.6             xtable_1.8-4            ## [31] Rhdf5lib_1.24.2         cli_3.6.2               rmarkdown_2.26          ## [34] crayon_1.5.2            ragg_1.3.0              generics_0.1.3          ## [37] httr_1.4.7              cachem_1.0.8            rhdf5_2.46.1            ## [40] zlibbioc_1.48.2         parallel_4.3.3          BiocManager_1.30.22     ## [43] XVector_0.42.0          basilisk_1.14.3         vctrs_0.6.5             ## [46] Matrix_1.6-5            jsonlite_1.8.8          dir.expiry_1.10.0       ## [49] bookdown_0.38           systemfonts_1.0.6       jquerylib_0.1.4         ## [52] glue_1.7.0              pkgdown_2.0.7           DT_0.32                 ## [55] later_1.3.2             tibble_3.2.1            pillar_1.9.0            ## [58] basilisk.utils_1.14.1   htmltools_0.5.8         rhdf5filters_1.14.1     ## [61] GenomeInfoDbData_1.2.11 R6_2.5.1                textshaping_0.3.7       ## [64] evaluate_0.23           shiny_1.8.1             lattice_0.22-5          ## [67] png_0.1-8               memoise_2.0.1           httpuv_1.6.15           ## [70] bslib_0.7.0             rjsoncons_1.2.0         Rcpp_1.0.12             ## [73] SparseArray_1.2.4       xfun_0.43               fs_1.6.3                ## [76] pkgconfig_2.0.3"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/b_case_studies.html","id":"setup","dir":"Articles","previous_headings":"","what":"Setup","title":"Case studies","text":"case study, ensure cellxgenedp (see Bioconductor package landing page, GitHub.io site) installed (additional installation options https://mtmorgan.github.io/cellxgenedp/). Load package.","code":"if (!\"BiocManager\" %in% rownames(installed.packages()))     install.packages(\"BiocManager\", repos = \"https://CRAN.R-project.org\") BiocManager::install(\"cellxgenedp\") library(cellxgenedp)"},{"path":[]},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/b_case_studies.html","id":"challenge-and-solution","dir":"Articles","previous_headings":"Case study: authors & datasets","what":"Challenge and solution","title":"Case studies","text":"case study arose question CZI Science Community Slack. user asked Hi! possible search CELLxGENE identify datasets specific author set authors? Unfortunately, possible CELLxGENE web site – authors associated collections, collections can sorted filtered title (publication / tissue / disease / organism). cellxgenedp solution uses authors() discover authors collections, joins information datasets(). author_datasets provides convenient point make basic queries, e.g., finding authors contributing datasets. Perhaps one interested prolific authors based ‘collections’, rather ‘datasets’. five prolific authors collection datasets associated authors Alternatively, one might interested specific authors. easily accomplished simple filter author_datasets, e.g., carefully constructing data.frame family given names, performing join author_datasets","code":"author_datasets <- left_join(     authors(),     datasets(),     by = \"collection_id\",     relationship = \"many-to-many\" ) author_datasets #> # A tibble: 45,822 × 35 #>    collection_id  family given consortium dataset_id dataset_version_id donor_id #>    <chr>          <chr>  <chr> <chr>      <chr>      <chr>              <list>   #>  1 59c9ecfe-c47d… Yang   Andr… NA         595c9010-… b4645848-e3d8-492… <chr>    #>  2 59c9ecfe-c47d… Yang   Andr… NA         2f05ab20-… 3b715360-b0ae-4e5… <chr>    #>  3 59c9ecfe-c47d… Kern   Fabi… NA         595c9010-… b4645848-e3d8-492… <chr>    #>  4 59c9ecfe-c47d… Kern   Fabi… NA         2f05ab20-… 3b715360-b0ae-4e5… <chr>    #>  5 59c9ecfe-c47d… Losada Patr… NA         595c9010-… b4645848-e3d8-492… <chr>    #>  6 59c9ecfe-c47d… Losada Patr… NA         2f05ab20-… 3b715360-b0ae-4e5… <chr>    #>  7 59c9ecfe-c47d… Agam   Maay… NA         595c9010-… b4645848-e3d8-492… <chr>    #>  8 59c9ecfe-c47d… Agam   Maay… NA         2f05ab20-… 3b715360-b0ae-4e5… <chr>    #>  9 59c9ecfe-c47d… Maat   Chri… NA         595c9010-… b4645848-e3d8-492… <chr>    #> 10 59c9ecfe-c47d… Maat   Chri… NA         2f05ab20-… 3b715360-b0ae-4e5… <chr>    #> # ℹ 45,812 more rows #> # ℹ 28 more variables: assay <list>, batch_condition <list>, cell_count <int>, #> #   cell_type <list>, citation <chr>, default_embedding <chr>, #> #   development_stage <list>, disease <list>, embeddings <list>, #> #   explorer_url <chr>, feature_biotype <list>, feature_count <int>, #> #   feature_reference <list>, is_primary_data <list>, #> #   mean_genes_per_cell <dbl>, organism <list>, primary_cell_count <int>, … author_datasets |>     count(family, given, sort = TRUE) #> # A tibble: 4,192 × 3 #>    family      given        n #>    <chr>       <chr>    <int> #>  1 Casper      Tamara     232 #>  2 Dee         Nick       232 #>  3 Macosko     Evan Z.    230 #>  4 Chen        Fei        226 #>  5 Ding        Song-Lin   226 #>  6 Murray      Evan       226 #>  7 Hirschstein Daniel     217 #>  8 Travaglini  Kyle J.    202 #>  9 Nyhus       Julie      201 #> 10 Lein        Ed S.      198 #> # ℹ 4,182 more rows prolific_authors <-     authors() |>     count(family, given, sort = TRUE) |>     slice(1:5) prolific_authors #> # A tibble: 5 × 3 #>   family    given          n #>   <chr>     <chr>      <int> #> 1 Teichmann Sarah A.      24 #> 2 Regev     Aviv          14 #> 3 Meyer     Kerstin B.    13 #> 4 Polanski  Krzysztof     13 #> 5 Haniffa   Muzlifah      12 right_join(     author_datasets,     prolific_authors,     by = c(\"family\", \"given\") ) #> # A tibble: 445 × 36 #>    collection_id  family given consortium dataset_id dataset_version_id donor_id #>    <chr>          <chr>  <chr> <chr>      <chr>      <chr>              <list>   #>  1 b52eb423-5d0d… Polan… Krzy… NA         f75f2ff4-… 76399757-d131-4a4… <chr>    #>  2 b52eb423-5d0d… Polan… Krzy… NA         ed852810-… e394387d-fdb3-4a1… <chr>    #>  3 b52eb423-5d0d… Polan… Krzy… NA         d4e69e01-… fcc03458-cf50-425… <chr>    #>  4 b52eb423-5d0d… Polan… Krzy… NA         9d584fcb-… 0f5dba64-8621-420… <chr>    #>  5 b52eb423-5d0d… Polan… Krzy… NA         84f1a631-… 47d7cdd8-0895-483… <chr>    #>  6 b52eb423-5d0d… Polan… Krzy… NA         78fd69d2-… 98850cc8-8c09-466… <chr>    #>  7 b52eb423-5d0d… Polan… Krzy… NA         572f3f3e-… 54ec48d6-d115-40c… <chr>    #>  8 b52eb423-5d0d… Polan… Krzy… NA         1009f384-… 324c7c08-5399-493… <chr>    #>  9 b52eb423-5d0d… Teich… Sara… NA         f75f2ff4-… 76399757-d131-4a4… <chr>    #> 10 b52eb423-5d0d… Teich… Sara… NA         ed852810-… e394387d-fdb3-4a1… <chr>    #> # ℹ 435 more rows #> # ℹ 29 more variables: assay <list>, batch_condition <list>, cell_count <int>, #> #   cell_type <list>, citation <chr>, default_embedding <chr>, #> #   development_stage <list>, disease <list>, embeddings <list>, #> #   explorer_url <chr>, feature_biotype <list>, feature_count <int>, #> #   feature_reference <list>, is_primary_data <list>, #> #   mean_genes_per_cell <dbl>, organism <list>, primary_cell_count <int>, … author_datasets |>     filter(         family %in% c(\"Teichmann\", \"Regev\", \"Haniffa\")     ) #> # A tibble: 273 × 35 #>    collection_id  family given consortium dataset_id dataset_version_id donor_id #>    <chr>          <chr>  <chr> <chr>      <chr>      <chr>              <list>   #>  1 b52eb423-5d0d… Teich… Sara… NA         f75f2ff4-… 76399757-d131-4a4… <chr>    #>  2 b52eb423-5d0d… Teich… Sara… NA         ed852810-… e394387d-fdb3-4a1… <chr>    #>  3 b52eb423-5d0d… Teich… Sara… NA         d4e69e01-… fcc03458-cf50-425… <chr>    #>  4 b52eb423-5d0d… Teich… Sara… NA         9d584fcb-… 0f5dba64-8621-420… <chr>    #>  5 b52eb423-5d0d… Teich… Sara… NA         84f1a631-… 47d7cdd8-0895-483… <chr>    #>  6 b52eb423-5d0d… Teich… Sara… NA         78fd69d2-… 98850cc8-8c09-466… <chr>    #>  7 b52eb423-5d0d… Teich… Sara… NA         572f3f3e-… 54ec48d6-d115-40c… <chr>    #>  8 b52eb423-5d0d… Teich… Sara… NA         1009f384-… 324c7c08-5399-493… <chr>    #>  9 793fdaec-5067… Regev  Aviv  NA         86282760-… f4915942-787b-405… <chr>    #> 10 793fdaec-5067… Regev  Aviv  NA         471647b3-… 37188227-b8a7-4a7… <chr>    #> # ℹ 263 more rows #> # ℹ 28 more variables: assay <list>, batch_condition <list>, cell_count <int>, #> #   cell_type <list>, citation <chr>, default_embedding <chr>, #> #   development_stage <list>, disease <list>, embeddings <list>, #> #   explorer_url <chr>, feature_biotype <list>, feature_count <int>, #> #   feature_reference <list>, is_primary_data <list>, #> #   mean_genes_per_cell <dbl>, organism <list>, primary_cell_count <int>, … authors_of_interest <-     tibble(         family = c(\"Teichmann\", \"Regev\", \"Haniffa\"),         given = c(\"Sarah A.\", \"Aviv\", \"Muzlifah\")     ) right_join(     author_datasets,     authors_of_interest,     by = c(\"family\", \"given\") ) #> # A tibble: 263 × 35 #>    collection_id  family given consortium dataset_id dataset_version_id donor_id #>    <chr>          <chr>  <chr> <chr>      <chr>      <chr>              <list>   #>  1 b52eb423-5d0d… Teich… Sara… NA         f75f2ff4-… 76399757-d131-4a4… <chr>    #>  2 b52eb423-5d0d… Teich… Sara… NA         ed852810-… e394387d-fdb3-4a1… <chr>    #>  3 b52eb423-5d0d… Teich… Sara… NA         d4e69e01-… fcc03458-cf50-425… <chr>    #>  4 b52eb423-5d0d… Teich… Sara… NA         9d584fcb-… 0f5dba64-8621-420… <chr>    #>  5 b52eb423-5d0d… Teich… Sara… NA         84f1a631-… 47d7cdd8-0895-483… <chr>    #>  6 b52eb423-5d0d… Teich… Sara… NA         78fd69d2-… 98850cc8-8c09-466… <chr>    #>  7 b52eb423-5d0d… Teich… Sara… NA         572f3f3e-… 54ec48d6-d115-40c… <chr>    #>  8 b52eb423-5d0d… Teich… Sara… NA         1009f384-… 324c7c08-5399-493… <chr>    #>  9 793fdaec-5067… Regev  Aviv  NA         86282760-… f4915942-787b-405… <chr>    #> 10 793fdaec-5067… Regev  Aviv  NA         471647b3-… 37188227-b8a7-4a7… <chr>    #> # ℹ 253 more rows #> # ℹ 28 more variables: assay <list>, batch_condition <list>, cell_count <int>, #> #   cell_type <list>, citation <chr>, default_embedding <chr>, #> #   development_stage <list>, disease <list>, embeddings <list>, #> #   explorer_url <chr>, feature_biotype <list>, feature_count <int>, #> #   feature_reference <list>, is_primary_data <list>, #> #   mean_genes_per_cell <dbl>, organism <list>, primary_cell_count <int>, …"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/b_case_studies.html","id":"areas-of-interest","dir":"Articles","previous_headings":"Case study: authors & datasets","what":"Areas of interest","title":"Case studies","text":"several interesting questions suggest , several areas additional work required. might interesting identify authors working similar disease, areas interest. disease column author_datasets table list. single dataset may involve one disease. Furthermore, entry list contains two elements, label ontology_term_id disease. two approaches working data. One approach working data uses facilities cellxgenedp outlined accompanying article. Discover possible diseases. Focus COVID-19, use facets_filter() select relevant author-dataset combinations. Authors contributing datasets second approach follow practices R Data Science, disease column can ‘unnested’ twice, first time expand author_datasets table disease, second time separate two columns disease. Author-dataset combinations associated COVID-19, contributors datasets, computations earlier iteration using functionality cellxgenedp. resource might interest [OSLr][] package article illustrating ontologies used CELLxGENE can manipulated , e.g., identify studies terms derive common term (e.g., disease terms related ‘carcinoma’).","code":"author_datasets |>     select(family, given, dataset_id, disease) #> # A tibble: 45,822 × 4 #>    family given        dataset_id                           disease    #>    <chr>  <chr>        <chr>                                <list>     #>  1 Yang   Andrew C.    595c9010-99ec-462d-b6a1-2b2fe5407871 <list [4]> #>  2 Yang   Andrew C.    2f05ab20-a092-4bab-9276-3e0eb24e3fee <list [9]> #>  3 Kern   Fabian       595c9010-99ec-462d-b6a1-2b2fe5407871 <list [4]> #>  4 Kern   Fabian       2f05ab20-a092-4bab-9276-3e0eb24e3fee <list [9]> #>  5 Losada Patricia M.  595c9010-99ec-462d-b6a1-2b2fe5407871 <list [4]> #>  6 Losada Patricia M.  2f05ab20-a092-4bab-9276-3e0eb24e3fee <list [9]> #>  7 Agam   Maayan R.    595c9010-99ec-462d-b6a1-2b2fe5407871 <list [4]> #>  8 Agam   Maayan R.    2f05ab20-a092-4bab-9276-3e0eb24e3fee <list [9]> #>  9 Maat   Christina A. 595c9010-99ec-462d-b6a1-2b2fe5407871 <list [4]> #> 10 Maat   Christina A. 2f05ab20-a092-4bab-9276-3e0eb24e3fee <list [9]> #> # ℹ 45,812 more rows facets(db(), \"disease\") #> # A tibble: 115 × 4 #>    facet   label                                          ontology_term_id     n #>    <chr>   <chr>                                          <chr>            <int> #>  1 disease normal                                         PATO:0000461      1113 #>  2 disease COVID-19                                       MONDO:0100096       62 #>  3 disease dementia                                       MONDO:0001627       50 #>  4 disease myocardial infarction                          MONDO:0005068       27 #>  5 disease diabetic kidney disease                        MONDO:0005016       26 #>  6 disease autosomal dominant polycystic kidney disease   MONDO:0004691       24 #>  7 disease Alzheimer disease                              MONDO:0004975       15 #>  8 disease small cell lung carcinoma                      MONDO:0008433       12 #>  9 disease lung adenocarcinoma                            MONDO:0005061       11 #> 10 disease arrhythmogenic right ventricular cardiomyopat… MONDO:0016587        9 #> # ℹ 105 more rows author_datasets |>     filter(facets_filter(disease, \"label\", \"COVID-19\")) #> # A tibble: 1,812 × 35 #>    collection_id  family given consortium dataset_id dataset_version_id donor_id #>    <chr>          <chr>  <chr> <chr>      <chr>      <chr>              <list>   #>  1 59c9ecfe-c47d… Yang   Andr… NA         595c9010-… b4645848-e3d8-492… <chr>    #>  2 59c9ecfe-c47d… Yang   Andr… NA         2f05ab20-… 3b715360-b0ae-4e5… <chr>    #>  3 59c9ecfe-c47d… Kern   Fabi… NA         595c9010-… b4645848-e3d8-492… <chr>    #>  4 59c9ecfe-c47d… Kern   Fabi… NA         2f05ab20-… 3b715360-b0ae-4e5… <chr>    #>  5 59c9ecfe-c47d… Losada Patr… NA         595c9010-… b4645848-e3d8-492… <chr>    #>  6 59c9ecfe-c47d… Losada Patr… NA         2f05ab20-… 3b715360-b0ae-4e5… <chr>    #>  7 59c9ecfe-c47d… Agam   Maay… NA         595c9010-… b4645848-e3d8-492… <chr>    #>  8 59c9ecfe-c47d… Agam   Maay… NA         2f05ab20-… 3b715360-b0ae-4e5… <chr>    #>  9 59c9ecfe-c47d… Maat   Chri… NA         595c9010-… b4645848-e3d8-492… <chr>    #> 10 59c9ecfe-c47d… Maat   Chri… NA         2f05ab20-… 3b715360-b0ae-4e5… <chr>    #> # ℹ 1,802 more rows #> # ℹ 28 more variables: assay <list>, batch_condition <list>, cell_count <int>, #> #   cell_type <list>, citation <chr>, default_embedding <chr>, #> #   development_stage <list>, disease <list>, embeddings <list>, #> #   explorer_url <chr>, feature_biotype <list>, feature_count <int>, #> #   feature_reference <list>, is_primary_data <list>, #> #   mean_genes_per_cell <dbl>, organism <list>, primary_cell_count <int>, … author_datasets |>     filter(facets_filter(disease, \"label\", \"COVID-19\")) |>     count(family, given, sort = TRUE) #> # A tibble: 817 × 3 #>    family       given           n #>    <chr>        <chr>       <int> #>  1 Farber       Donna L.       29 #>  2 Guo          Xinzheng V.    28 #>  3 Saqi         Anjali         28 #>  4 Baldwin      Matthew R.     27 #>  5 Chait        Michael        27 #>  6 Connors      Thomas J.      27 #>  7 Davis-Porada Julia          27 #>  8 Dogra        Pranay         27 #>  9 Gray         Joshua I.      27 #> 10 Idzikowski   Emma           27 #> # ℹ 807 more rows author_dataset_diseases <-     author_datasets |>     select(family, given, dataset_id, disease) |>     tidyr::unnest_longer(disease) |>     tidyr::unnest_wider(disease) author_dataset_diseases #> # A tibble: 60,356 × 5 #>    family given     dataset_id                           label  ontology_term_id #>    <chr>  <chr>     <chr>                                <chr>  <chr>            #>  1 Yang   Andrew C. 595c9010-99ec-462d-b6a1-2b2fe5407871 COVID… MONDO:0100096    #>  2 Yang   Andrew C. 595c9010-99ec-462d-b6a1-2b2fe5407871 aspir… MONDO:0000265    #>  3 Yang   Andrew C. 595c9010-99ec-462d-b6a1-2b2fe5407871 influ… MONDO:0005812    #>  4 Yang   Andrew C. 595c9010-99ec-462d-b6a1-2b2fe5407871 malig… MONDO:0009831    #>  5 Yang   Andrew C. 2f05ab20-a092-4bab-9276-3e0eb24e3fee COVID… MONDO:0100096    #>  6 Yang   Andrew C. 2f05ab20-a092-4bab-9276-3e0eb24e3fee breas… MONDO:0007254    #>  7 Yang   Andrew C. 2f05ab20-a092-4bab-9276-3e0eb24e3fee cardi… MONDO:0004994    #>  8 Yang   Andrew C. 2f05ab20-a092-4bab-9276-3e0eb24e3fee chron… MONDO:0005002    #>  9 Yang   Andrew C. 2f05ab20-a092-4bab-9276-3e0eb24e3fee heart… MONDO:0005267    #> 10 Yang   Andrew C. 2f05ab20-a092-4bab-9276-3e0eb24e3fee influ… MONDO:0005812    #> # ℹ 60,346 more rows author_dataset_diseases |>     filter(label == \"COVID-19\")  author_dataset_diseases |>     filter(label == \"COVID-19\") |>     count(family, given, sort = TRUE)"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/b_case_studies.html","id":"collaboration","dir":"Articles","previous_headings":"Case study: authors & datasets","what":"Collaboration","title":"Case studies","text":"TODO. might interesting know authors collaborated one another. can computed author_datasets table, following approaches developed grantpubcite package identify collaborations projects NIH-funded ITCR program. See graph visualization ITCR collaboration section inspiration.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/b_case_studies.html","id":"duplicate-collection-author-combinations","dir":"Articles","previous_headings":"Case study: authors & datasets","what":"Duplicate collection-author combinations","title":"Case studies","text":"authors 5447 collection-author combinations. expect distinct (row identifying unique collection-author combination). true Duplicated data Discover details first duplicated collection, e5f58829-1a66-40b5-a624-9046778e74f5 author information comes publisher_metadata column ‘list--lists’, relevant information elements first list relevant information authors field, 221 Inspection shows four authors family name Pisco given name Angela Oliveira: appears data provided CZI indeed includes duplicate author names. pragmatic perspective, might make sense remove duplicate entries authors -stream analysis. Tools found useful working list--lists style data rare listviewer::jsonedit() visualization, rjsoncons filtering querying data using JSONpointer, JSONpath, JMESpath expression (R-centric tool purrr package).","code":"authors <- authors() authors #> # A tibble: 5,447 × 4 #>    collection_id                        family   given        consortium #>    <chr>                                <chr>    <chr>        <chr>      #>  1 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Yang     Andrew C.    NA         #>  2 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Kern     Fabian       NA         #>  3 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Losada   Patricia M.  NA         #>  4 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Agam     Maayan R.    NA         #>  5 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Maat     Christina A. NA         #>  6 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Schmartz Georges P.   NA         #>  7 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Fehlmann Tobias       NA         #>  8 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Stein    Julian A.    NA         #>  9 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Schaum   Nicholas     NA         #> 10 59c9ecfe-c47d-4a6a-bab0-895cc0c1942b Lee      Davis P.     NA         #> # ℹ 5,437 more rows nrow(authors) == nrow(distinct(authors)) #> [1] FALSE authors |>      count(collection_id, family, given, consortium, sort = TRUE) |>     filter(n > 1) #> # A tibble: 73 × 5 #>    collection_id                        family     given        consortium     n #>    <chr>                                <chr>      <chr>        <chr>      <int> #>  1 e5f58829-1a66-40b5-a624-9046778e74f5 Pisco      Angela Oliv… NA             4 #>  2 e5f58829-1a66-40b5-a624-9046778e74f5 Crasta     Sheela       NA             3 #>  3 e5f58829-1a66-40b5-a624-9046778e74f5 Swift      Michael      NA             3 #>  4 e5f58829-1a66-40b5-a624-9046778e74f5 Travaglini Kyle J.      NA             3 #>  5 e5f58829-1a66-40b5-a624-9046778e74f5 de Morree  Antoine      NA             3 #>  6 51544e44-293b-4c2b-8c26-560678423380 Betts      Michael R.   NA             2 #>  7 51544e44-293b-4c2b-8c26-560678423380 Faryabi    Robert B.    NA             2 #>  8 51544e44-293b-4c2b-8c26-560678423380 Fasolino   Maria        NA             2 #>  9 51544e44-293b-4c2b-8c26-560678423380 Feldman    Michael      NA             2 #> 10 51544e44-293b-4c2b-8c26-560678423380 Goldman    Naomi        NA             2 #> # ℹ 63 more rows duplicate_authors <-     collections() |>     filter(collection_id == \"e5f58829-1a66-40b5-a624-9046778e74f5\") duplicate_authors #> # A tibble: 1 × 18 #>   collection_id     collection_version_id collection_url consortia contact_email #>   <chr>             <chr>                 <chr>          <list>    <chr>         #> 1 e5f58829-1a66-40… 519f5ac5-1f84-4b48-9… https://cellx… <chr [2]> angela.pisco… #> # ℹ 13 more variables: contact_name <chr>, curator_name <chr>, #> #   description <chr>, doi <chr>, links <list>, name <chr>, #> #   publisher_metadata <list>, revising_in <lgl>, revision_of <lgl>, #> #   visibility <chr>, created_at <date>, published_at <date>, revised_at <date> publisher_metadata <-     duplicate_authors |>     pull(publisher_metadata) names(publisher_metadata[[1]]) #> [1] \"authors\"         \"is_preprint\"     \"journal\"         \"published_at\"    #> [5] \"published_day\"   \"published_month\" \"published_year\" length(publisher_metadata[[1]][[\"authors\"]]) #> [1] 221 deduplicated_authors <- distinct(authors)"},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/b_case_studies.html","id":"what-is-an-author","dir":"Articles","previous_headings":"Case study: authors & datasets > Duplicate collection-author combinations","what":"What is an ‘author’?","title":"Case studies","text":"combination family given name may refer two () different individuals (e.g., two individuals named ‘Martin Morgan’), single individual may recorded two different names (e.g., given name sometimes ‘Martin’ sometimes ‘Martin T.’). clear resolved; recording ORCID identifiers migth help disambiguation.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/b_case_studies.html","id":"case-study-using-ontology-to-identify-datasets","dir":"Articles","previous_headings":"","what":"Case study: using ontology to identify datasets","title":"Case studies","text":"case study developed response following Slack question: CELLxGENE’s webpage using different ontologies displaying easy interogate manner (choosing amongst 3 possible coarseness cell types, tissues age) wondering simplified tree 3 subgroups cell type, tissue age categories available somewhere? indicated question, CELLxGENE provides access ontologies hand-curated three-tiered classification specific facets; tiers can retrieved publicly available code, one might want develop flexible principled approach. CELLxGENE dataset facets like ‘disease’ ‘cell type’ use terms ontologies. Ontologies arrange terms directed acyclic graphs, use ontologies can useful identify related datasets. instance, one might interesed cancer-related datasets (derived ‘carcinoma’ term corresponding ontology) general, rather , e.g., ‘B-cell non-Hodgkins lymphoma’. exploring question R, found developing OLSr package query process ontologies EMBL-EBI Ontology Lookup Service. See ‘Case Study: CELLxGENE Ontologies’ article OLSr package full details.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/articles/b_case_studies.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"Case studies","text":"","code":"#> R version 4.3.3 (2024-02-29) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.4 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        #>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    #>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           #> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] stats     graphics  grDevices utils     datasets  methods   base      #>  #> other attached packages: #> [1] cellxgenedp_1.7.3 dplyr_1.1.4       BiocStyle_2.30.0  #>  #> loaded via a namespace (and not attached): #>  [1] sass_0.4.9          utf8_1.2.4          generics_0.1.3      #>  [4] tidyr_1.3.1         digest_0.6.35       magrittr_2.0.3      #>  [7] evaluate_0.23       bookdown_0.38       fastmap_1.1.1       #> [10] jsonlite_1.8.8      promises_1.2.1      BiocManager_1.30.22 #> [13] httr_1.4.7          purrr_1.0.2         fansi_1.0.6         #> [16] textshaping_0.3.7   jquerylib_0.1.4     cli_3.6.2           #> [19] shiny_1.8.1         rlang_1.1.3         withr_3.0.0         #> [22] cachem_1.0.8        yaml_2.3.8          tools_4.3.3         #> [25] memoise_2.0.1       httpuv_1.6.15       DT_0.32             #> [28] curl_5.2.1          vctrs_0.6.5         rjsoncons_1.2.0     #> [31] R6_2.5.1            mime_0.12           lifecycle_1.0.4     #> [34] fs_1.6.3            htmlwidgets_1.6.4   ragg_1.3.0          #> [37] pkgconfig_2.0.3     desc_1.4.3          pkgdown_2.0.7       #> [40] pillar_1.9.0        bslib_0.7.0         later_1.3.2         #> [43] glue_1.7.0          Rcpp_1.0.12         systemfonts_1.0.6   #> [46] xfun_0.43           tibble_3.2.1        tidyselect_1.2.1    #> [49] knitr_1.45          xtable_1.8-4        htmltools_0.5.8     #> [52] rmarkdown_2.26      compiler_4.3.3"},{"path":"https://mtmorgan.github.io/cellxgenedp/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Martin Morgan. Author, maintainer. Kayla Interdonato. Author.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Morgan M, Interdonato K (2024). cellxgenedp: Discover Access Single Cell Data Sets CELLxGENE Data Portal. R package version 1.7.3, https://github.com/mtmorgan/cellxgenedp, https://mtmorgan.github.io/cellxgenedp/.","code":"@Manual{,   title = {cellxgenedp: Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal},   author = {Martin Morgan and Kayla Interdonato},   year = {2024},   note = {R package version 1.7.3, https://github.com/mtmorgan/cellxgenedp},   url = {https://mtmorgan.github.io/cellxgenedp/}, }"},{"path":"https://mtmorgan.github.io/cellxgenedp/index.html","id":"introduction-to-cellxgenedp","dir":"","previous_headings":"","what":"Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal","title":"Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal","text":"cellxgene data portal https://cellxgene.cziscience.com/ provides graphical user interface collections single-cell sequence data processed standard ways ‘count matrix’ summaries. cellxgenedp package provides alternative, R-based inteface, allowind data discovery, viewing, downloading.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal","text":"package available Bioconductor version 3.15 later. following code installs cellxgenedp Alternatively, install ‘development’ version GitHub also install additional packages required vignette, use","code":"if (!\"BiocManager\" %in% rownames(installed.packages()))     install.packages(\"BiocManager\", repos = \"https://CRAN.R-project.org\") BiocManager::install(\"cellxgenedp\") if (!\"remotes\" %in% rownames(installed.packages()))     install.packages(\"remotes\", repos = \"https://CRAN.R-project.org\") remotes::install_github(\"mtmorgan/cellxgenedp\") pkgs <- c(\"tidyr\", \"zellkonverter\", \"SingleCellExperiment\", \"HDF5Array\") required_pkgs <- pkgs[!pkgs %in% rownames(installed.packages())] BiocManager::install(required_pkgs)"},{"path":"https://mtmorgan.github.io/cellxgenedp/index.html","id":"use","dir":"","previous_headings":"","what":"Use","title":"Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal","text":"Load package current R session. make extensive use dplyr packages, end vignette use SingleCellExperiment zellkonverter, load well.","code":"suppressPackageStartupMessages({     library(dplyr)     library(cellxgenedp) })"},{"path":"https://mtmorgan.github.io/cellxgenedp/index.html","id":"shiny","dir":"","previous_headings":"","what":"Shiny","title":"Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal","text":"cxg() provides ‘shiny’ interface allowing discovery collections datasets, visualization selected datasets cellxgene data portal, download datasets use R.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/index.html","id":"next-steps","dir":"","previous_headings":"","what":"Next steps","title":"Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal","text":"View artcle Discover download datasets files cellxgene data portal.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/cxg.html","id":null,"dir":"Reference","previous_headings":"","what":"Shiny application for discovering, viewing, and downloading\ncellxgene data — cxg","title":"Shiny application for discovering, viewing, and downloading\ncellxgene data — cxg","text":"Shiny application discovering, viewing, downloading cellxgene data","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/cxg.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Shiny application for discovering, viewing, and downloading\ncellxgene data — cxg","text":"","code":"cxg(as = c(\"tibble\", \"sce\"))"},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/cxg.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Shiny application for discovering, viewing, and downloading\ncellxgene data — cxg","text":"character(1) Return value quiting shiny application. \"tibble\" returns tibble describing selected datasets (including location disk downloaded file). \"sce\" returns list dataset files imported R SingleCellExperiment objects.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/cxg.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Shiny application for discovering, viewing, and downloading\ncellxgene data — cxg","text":"cxg() returns either tibble describing datasets selected shiny application, list datasets imported R SingleCellExperiment objects.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/cxg.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Shiny application for discovering, viewing, and downloading\ncellxgene data — cxg","text":"","code":"# \\donttest{ if (interactive())     cxg() # }"},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/db.html","id":null,"dir":"Reference","previous_headings":"","what":"Retrieve updated cellxgene database metadata — db","title":"Retrieve updated cellxgene database metadata — db","text":"Retrieve updated cellxgene database metadata","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/db.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Retrieve updated cellxgene database metadata — db","text":"","code":"db(overwrite = .db_online() && .db_first())"},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/db.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Retrieve updated cellxgene database metadata — db","text":"overwrite logical(1) indicating whether database collections updated internet (default, internet available , interactive session, user requests update), read disk (assuming previous successful access internet).  overwrite = FALSE might useful reproducibility, testing, working environment restricted internet access.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/db.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Retrieve updated cellxgene database metadata — db","text":"db() returns object class 'cellxgene_db', summarizing available collections, datasets, files.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/db.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Retrieve updated cellxgene database metadata — db","text":"database retrieved cellxgene data portal web site. 'collections' metadata retrieved call; metadata collection cached locally re-use.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/db.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Retrieve updated cellxgene database metadata — db","text":"","code":"db() #> cellxgene_db #> number of collections(): 198 #> number of datasets(): 1285 #> number of files(): 2538"},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/facets.html","id":null,"dir":"Reference","previous_headings":"","what":"Facets available for querying cellxgene data — FACETS","title":"Facets available for querying cellxgene data — FACETS","text":"FACETS character vector common fields used subset cellxgene data. facets() used query cellxgene database current values one facets. facets_filter() provides convenient way filter facets based label ontology term.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/facets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Facets available for querying cellxgene data — FACETS","text":"","code":"FACETS  facets(cellxgene_db = db(), facets = FACETS)  facets_filter(facet, key = c(\"label\", \"ontology_term_id\"), value, exact = TRUE)"},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/facets.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Facets available for querying cellxgene data — FACETS","text":"FACETS object class character length 8.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/facets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Facets available for querying cellxgene data — FACETS","text":"cellxgene_db (optional) cellxgene_db object, returned db(). facets character() vector corersponding one facets FACETS. facet column containing faceted information, e.g., sex datasets(db). key character(1) identifying whether value label ontology_term_id. value character() value label ontology term filter . value may vector length(value) > 0 exact matchs (exact = TRUE, default), character(1) regular expression. exact logical(1) whether values match exactly (default, TRUE) regular expression (FALSE).","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/facets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Facets available for querying cellxgene data — FACETS","text":"facets() returns tibble columns facet, label, ontology_term_id, n, number times facet label used database. facets_filter() returns logical vector length equal length (number rows) facet, TRUE indicating value key present dataset.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/facets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Facets available for querying cellxgene data — FACETS","text":"","code":"f <- facets()  ## levels of each facet f |>     dplyr::count(facet) #> # A tibble: 8 × 2 #>   facet                       n #>   <chr>                   <int> #> 1 assay                      38 #> 2 cell_type                 842 #> 3 development_stage         237 #> 4 disease                   115 #> 5 organism                    7 #> 6 self_reported_ethnicity    33 #> 7 sex                         3 #> 8 tissue                    389  ## same as facets(, facets = \"organism\") f |>     dplyr::filter(facet == \"organism\") #> # A tibble: 7 × 4 #>   facet    label                 ontology_term_id     n #>   <chr>    <chr>                 <chr>            <int> #> 1 organism Homo sapiens          NCBITaxon:9606     917 #> 2 organism Mus musculus          NCBITaxon:10090    331 #> 3 organism Callithrix jacchus    NCBITaxon:9483      28 #> 4 organism Macaca mulatta        NCBITaxon:9544      19 #> 5 organism Sus scrofa domesticus NCBITaxon:9825       3 #> 6 organism Pan troglodytes       NCBITaxon:9598       2 #> 7 organism Gorilla gorilla       NCBITaxon:9593       1  db <- db() ds <- datasets(db)  ## datasets with African American females ds |>     dplyr::filter(         facets_filter(self_reported_ethnicity, \"label\", \"African American\"),         facets_filter(sex, \"label\", \"female\")     ) #> # A tibble: 53 × 32 #>    dataset_id   dataset_version_id collection_id donor_id assay  batch_condition #>    <chr>        <chr>              <chr>         <list>   <list> <list>          #>  1 f64e1be1-de… 76e2eefc-ebb2-4dc… 62e8f058-9c3… <chr>    <list> <lgl [1]>       #>  2 e9175006-89… 4e0351ae-7c33-45e… 62e8f058-9c3… <chr>    <list> <lgl [1]>       #>  3 d4cfefa0-3a… 4cda4640-5264-4a8… 62e8f058-9c3… <chr>    <list> <lgl [1]>       #>  4 d224c8e0-c2… 0c37b06d-c369-424… 62e8f058-9c3… <chr>    <list> <lgl [1]>       #>  5 a6858c10-c5… 53aa3c39-8989-45f… 62e8f058-9c3… <chr>    <list> <lgl [1]>       #>  6 576f193c-75… 7a30310a-2239-4d8… 62e8f058-9c3… <chr>    <list> <lgl [1]>       #>  7 486486d4-94… d4fd8c0b-c9a8-4ed… 62e8f058-9c3… <chr>    <list> <lgl [1]>       #>  8 e47c65a8-7d… 71b9ecfc-ed34-487… 4195ab4c-20b… <chr>    <list> <lgl [1]>       #>  9 c8d40d53-38… 071c5094-dd60-424… 4195ab4c-20b… <chr>    <list> <lgl [1]>       #> 10 c45f05b3-aa… e269dc32-c022-407… 4195ab4c-20b… <chr>    <list> <lgl [1]>       #> # ℹ 43 more rows #> # ℹ 26 more variables: cell_count <int>, cell_type <list>, citation <chr>, #> #   default_embedding <chr>, development_stage <list>, disease <list>, #> #   embeddings <list>, explorer_url <chr>, feature_biotype <list>, #> #   feature_count <int>, feature_reference <list>, is_primary_data <list>, #> #   mean_genes_per_cell <dbl>, organism <list>, primary_cell_count <int>, #> #   raw_data_location <chr>, schema_version <chr>, …  ## datasets with non-European, known ethnicity facets(db, \"self_reported_ethnicity\") #> # A tibble: 33 × 4 #>    facet                   label                          ontology_term_id     n #>    <chr>                   <chr>                          <chr>            <int> #>  1 self_reported_ethnicity European                       HANCESTRO:0005     544 #>  2 self_reported_ethnicity unknown                        unknown            435 #>  3 self_reported_ethnicity na                             na                 375 #>  4 self_reported_ethnicity Asian                          HANCESTRO:0008     143 #>  5 self_reported_ethnicity Hispanic or Latin American     HANCESTRO:0014      63 #>  6 self_reported_ethnicity African American               HANCESTRO:0568      62 #>  7 self_reported_ethnicity Native American,Hispanic or L… HANCESTRO:0013,…    50 #>  8 self_reported_ethnicity African American or Afro-Cari… HANCESTRO:0016      32 #>  9 self_reported_ethnicity Greater Middle Eastern  (Midd… HANCESTRO:0015      22 #> 10 self_reported_ethnicity African                        HANCESTRO:0010      19 #> # ℹ 23 more rows ds |>     dplyr::filter(         !facets_filter(             self_reported_ethnicity, \"label\", c(\"European\", \"na\", \"unknown\")         )     ) #> # A tibble: 25 × 32 #>    dataset_id   dataset_version_id collection_id donor_id assay  batch_condition #>    <chr>        <chr>              <chr>         <list>   <list> <list>          #>  1 e6a11140-25… 9227d155-6f2d-453… e5f58829-1a6… <chr>    <list> <lgl [1]>       #>  2 6ec405bb-47… 2380b77b-018f-461… e5f58829-1a6… <chr>    <list> <lgl [1]>       #>  3 2ba40233-85… 2e69ce01-f71b-4a6… e5f58829-1a6… <chr>    <list> <lgl [1]>       #>  4 2423ce2c-31… 847371ba-5d70-441… e5f58829-1a6… <chr>    <list> <lgl [1]>       #>  5 c45f05b3-aa… e269dc32-c022-407… 4195ab4c-20b… <chr>    <list> <lgl [1]>       #>  6 87183784-5b… e1d241a7-cfdf-4a6… 4195ab4c-20b… <chr>    <list> <lgl [1]>       #>  7 6e96d93c-de… 5513f0bc-0553-426… 4195ab4c-20b… <chr>    <list> <lgl [1]>       #>  8 31b49393-44… 7d28dc15-7665-4a3… 4195ab4c-20b… <chr>    <list> <lgl [1]>       #>  9 2d3e3c41-34… 5a4ce609-89cb-41d… 4195ab4c-20b… <chr>    <list> <lgl [1]>       #> 10 2adb1f8a-a6… 851fdc42-fd3b-4fb… 38833785-fac… <chr>    <list> <lgl [1]>       #> # ℹ 15 more rows #> # ℹ 26 more variables: cell_count <int>, cell_type <list>, citation <chr>, #> #   default_embedding <chr>, development_stage <list>, disease <list>, #> #   embeddings <list>, explorer_url <chr>, feature_biotype <list>, #> #   feature_count <int>, feature_reference <list>, is_primary_data <list>, #> #   mean_genes_per_cell <dbl>, organism <list>, primary_cell_count <int>, #> #   raw_data_location <chr>, schema_version <chr>, …"},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/query.html","id":null,"dir":"Reference","previous_headings":"","what":"Query cellxgene collections, datasets, and files — collections","title":"Query cellxgene collections, datasets, and files — collections","text":"files_download() retrieves one cellxgene files cache local system. links(), authors() publisher_metadata() helper functions extract 'nested' information collections.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/query.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Query cellxgene collections, datasets, and files — collections","text":"","code":"collections(cellxgene_db = db())  datasets(cellxgene_db = db())  datasets_visualize(tbl)  files(cellxgene_db = db())  files_download(tbl, dry.run = TRUE, cache.path = .cellxgene_cache_path())  links(cellxgene_db = db())  authors(cellxgene_db = db())  publisher_metadata(cellxgene_db = db())"},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/query.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Query cellxgene collections, datasets, and files — collections","text":"cellxgene_db optional 'cellxgene_db' object, returned db(). tbl tibble() typically derived datasets(db) files(db) containing columns dataset_id (datasets_visualize()), columns dataset_id, file_id, filetype (files_download()). dry.run logical(1) indicating whether (often large) file(s) tbl downloaded local cache. Files downloaded dry.run = TRUE (default). cache.path character(1) directory cache downloaded files. directory must already exist. default tools::R_user_dir(\"cellxgenedp\", \"cache\"), package-specific path user home directory.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/query.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Query cellxgene collections, datasets, and files — collections","text":"function returns tibble describing corresponding component database. files_download() returns character() vector paths local files. links() returns tibble external links associated collection. Common links includ DOI, raw data / data sources, lab websites. authors() returns tibble authors associated collection. publisher_metadata() returns tibble publisher metadata (journal, publicate date, doi) associated collection.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/reference/query.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Query cellxgene collections, datasets, and files — collections","text":"","code":"db <- db()  collections(db) #> # A tibble: 198 × 18 #>    collection_id    collection_version_id collection_url consortia contact_email #>    <chr>            <chr>                 <chr>          <list>    <chr>         #>  1 59c9ecfe-c47d-4… 8db59637-4b42-4195-b… https://cellx… <lgl [1]> twc@stanford… #>  2 a18474f4-ff1e-4… e1078e5b-da88-49d8-b… https://cellx… <lgl [1]> kpn2114@colu… #>  3 f5af7a2f-ab4c-4… cb80d978-a1a2-4696-8… https://cellx… <lgl [1]> Yanling_Liao… #>  4 aee9c366-f2fb-4… 62fc92b9-92f9-4f6f-9… https://cellx… <lgl [1]> kjensen@tgen… #>  5 c26ca66a-63ea-4… 9b5f598e-b5d6-4d83-a… https://cellx… <lgl [1]> semil.choksi… #>  6 e5f58829-1a66-4… 519f5ac5-1f84-4b48-9… https://cellx… <chr [2]> angela.pisco… #>  7 b52eb423-5d0d-4… e75822ca-72d5-4d7f-a… https://cellx… <chr [2]> st9@sanger.a… #>  8 e3aa612b-0d7d-4… 8bfe4964-eab1-4ae8-b… https://cellx… <chr [1]> hongkuiz@all… #>  9 1b014f39-f202-4… 8b7765f4-c81a-46fe-a… https://cellx… <lgl [1]> kimberly.ald… #> 10 48d354f5-a5ca-4… be9483df-dbbd-421f-b… https://cellx… <chr [1]> Nathan.Salom… #> # ℹ 188 more rows #> # ℹ 13 more variables: contact_name <chr>, curator_name <chr>, #> #   description <chr>, doi <chr>, links <list>, name <chr>, #> #   publisher_metadata <list>, revising_in <lgl>, revision_of <lgl>, #> #   visibility <chr>, created_at <date>, published_at <date>, revised_at <date>  collections(db) |>     dplyr::glimpse() #> Rows: 198 #> Columns: 18 #> $ collection_id         <chr> \"59c9ecfe-c47d-4a6a-bab0-895cc0c1942b\", \"a18474f… #> $ collection_version_id <chr> \"8db59637-4b42-4195-bb8b-054cf7d03099\", \"e1078e5… #> $ collection_url        <chr> \"https://cellxgene.cziscience.com/collections/59… #> $ consortia             <list> NA, NA, NA, NA, NA, <\"CZ Biohub\", \"CZI Single-C… #> $ contact_email         <chr> \"twc@stanford.edu\", \"kpn2114@columbia.edu\", \"Yan… #> $ contact_name          <chr> \"Tony Wyss-Coray\", \"Karol Nowicki-Osuch\", \"Yanli… #> $ curator_name          <chr> \"Corinn Sophia Small\", \"Jason Hilton\", \"Jason Hi… #> $ description           <chr> \"Although SARS-CoV-2 primarily targets the respi… #> $ doi                   <chr> \"10.1038/s41586-021-03710-0\", \"10.1158/2159-8290… #> $ links                 <list> [[\"GSE159812\", \"RAW_DATA\", \"https://www.ncbi.nl… #> $ name                  <chr> \"Dysregulation of brain and choroid plexus cell … #> $ publisher_metadata    <list> [[[\"Yang\", \"Andrew C.\"], [\"Kern\", \"Fabian\"], [\"… #> $ revising_in           <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, … #> $ revision_of           <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, … #> $ visibility            <chr> \"PUBLIC\", \"PUBLIC\", \"PUBLIC\", \"PUBLIC\", \"PUBLIC\"… #> $ created_at            <date> 2024-03-19, 2024-03-19, 2024-03-20, 2024-03-19,… #> $ published_at          <date> 2024-02-07, 2023-03-15, 2024-02-15, 2024-01-16,… #> $ revised_at            <date> 2024-03-22, 2024-03-22, 2024-03-22, 2024-03-22,…  datasets(db) |>     dplyr::glimpse() #> Rows: 1,285 #> Columns: 32 #> $ dataset_id                 <chr> \"595c9010-99ec-462d-b6a1-2b2fe5407871\", \"2f… #> $ dataset_version_id         <chr> \"b4645848-e3d8-4920-bb4e-7aa294725177\", \"3b… #> $ collection_id              <chr> \"59c9ecfe-c47d-4a6a-bab0-895cc0c1942b\", \"59… #> $ donor_id                   <list> <\"15_12\", \"15_17\", \"16_18\", \"16_23\", \"16_2… #> $ assay                      <list> [[\"10x 3' v3\", \"EFO:0009922\"]], [[\"10x 3' … #> $ batch_condition            <list> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, \"b… #> $ cell_count                 <int> 27092, 38217, 3951, 146583, 5754, 3282, 293… #> $ cell_type                  <list> [[\"cerebral cortex endothelial cell\", \"CL:… #> $ citation                   <chr> \"Publication: https://doi.org/10.1038/s4158… #> $ default_embedding          <chr> \"X_umap\", \"X_umap\", NA, NA, NA, NA, NA, NA,… #> $ development_stage          <list> [[\"55-year-old human stage\", \"HsapDv:00001… #> $ disease                    <list> [[\"COVID-19\", \"MONDO:0100096\"], [\"aspirati… #> $ embeddings                 <list> <\"X_pca\", \"X_tsne\", \"X_umap\">, <\"X_pca\", \"… #> $ explorer_url               <chr> \"https://cellxgene.cziscience.com/e/595c901… #> $ feature_biotype            <list> \"gene\", \"gene\", \"gene\", \"gene\", \"gene\", \"g… #> $ feature_count              <int> 36398, 36398, 33145, 33145, 33145, 33145, 2… #> $ feature_reference          <list> \"NCBITaxon:9606\", \"NCBITaxon:9606\", \"NCBIT… #> $ is_primary_data            <list> TRUE, TRUE, FALSE, FALSE, FALSE, FALSE, <T… #> $ mean_genes_per_cell        <dbl> 1520.2394, 2091.8612, 1361.9355, 1830.6961,… #> $ organism                   <list> [[\"Homo sapiens\", \"NCBITaxon:9606\"]], [[\"H… #> $ primary_cell_count         <int> 27092, 38217, 0, 0, 0, 0, 279586, 0, 0, 0, … #> $ raw_data_location          <chr> \"raw.X\", \"raw.X\", \"raw.X\", \"raw.X\", \"raw.X\"… #> $ schema_version             <chr> \"5.0.0\", \"5.0.0\", \"5.0.0\", \"5.0.0\", \"5.0.0\"… #> $ self_reported_ethnicity    <list> [[\"European\", \"HANCESTRO:0005\"]], [[\"Europ… #> $ sex                        <list> [[\"female\", \"PATO:0000383\"], [\"male\", \"PAT… #> $ suspension_type            <list> \"nucleus\", \"nucleus\", \"cell\", \"cell\", \"cel… #> $ tissue                     <list> [[\"choroid plexus\", \"UBERON:0001886\", \"tis… #> $ title                      <chr> \"A total of 27,092 droplet-based single-nuc… #> $ tombstone                  <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, F… #> $ x_approximate_distribution <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, \"CO… #> $ published_at               <date> 2024-02-07, 2024-02-07, 2023-03-15, 2023-0… #> $ revised_at                 <date> 2024-03-22, 2024-03-22, 2024-03-22, 2024-0…  # \\donttest{ if (interactive()) {     ## visualize the first dataset     datasets(db) |>         dplyr::slice(1) |>         datasets_visualize() } # } files(db) |>     dplyr::glimpse() #> Rows: 2,538 #> Columns: 4 #> $ dataset_id <chr> \"595c9010-99ec-462d-b6a1-2b2fe5407871\", \"595c9010-99ec-462d… #> $ filesize   <dbl> 333391557, 348066008, 630668977, 683935787, 31737910, 26350… #> $ filetype   <chr> \"H5AD\", \"RDS\", \"H5AD\", \"RDS\", \"H5AD\", \"RDS\", \"H5AD\", \"RDS\",… #> $ url        <chr> \"https://datasets.cellxgene.cziscience.com/b4645848-e3d8-49…  if (FALSE) { files(db) |>     dplyr::slice(1) |>     files_download(dry.run = FALSE) }  ## common links to external data links(db) |>     dplyr::count(link_type) #> # A tibble: 5 × 2 #>   link_type       n #>   <chr>       <int> #> 1 DATA_SOURCE    36 #> 2 LAB_WEBSITE    42 #> 3 OTHER         351 #> 4 PROTOCOL       45 #> 5 RAW_DATA      302  ## authors per collection authors() |>     dplyr::count(collection_id, sort = TRUE) #> # A tibble: 189 × 2 #>    collection_id                            n #>    <chr>                                <int> #>  1 e5f58829-1a66-40b5-a624-9046778e74f5   221 #>  2 8f126edf-5405-4731-8374-b5ce11f53e82   205 #>  3 bcb61471-2a44-4d00-a0af-ff085512674c   171 #>  4 4f586cb6-972b-4ef7-a4ef-3c3800a3c004   147 #>  5 0b9d8a04-bb9d-44da-aa27-705bb65b54eb   135 #>  6 367d95c0-0eb0-4dae-8276-9407239421ee   106 #>  7 6f6d381a-7701-4781-935c-db10d30de293    98 #>  8 1ca90a2d-2943-483d-b678-b809bf464c30    94 #>  9 0a839c4b-10d0-4d64-9272-684c49a2c8ba    90 #> 10 ae1420fe-6630-46ed-8b3d-cc6056a66467    83 #> # ℹ 179 more rows  publisher_metadata() |>     dplyr::glimpse() #> Rows: 189 #> Columns: 9 #> $ collection_id   <chr> \"59c9ecfe-c47d-4a6a-bab0-895cc0c1942b\", \"a18474f4-ff1e… #> $ name            <chr> \"Dysregulation of brain and choroid plexus cell types … #> $ is_preprint     <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE… #> $ journal         <chr> \"Nature\", \"Cancer Discovery\", \"Front. Immunol.\", \"Acta… #> $ published_at    <date> 2021-07-22, 2023-03-17, 2023-09-20, 2023-09-01, 2022-… #> $ published_year  <int> 2021, 2023, 2023, 2023, 2022, 2020, 2021, 2021, 2021, … #> $ published_month <int> 7, 3, 9, 9, 5, 12, 6, 8, 3, 10, 12, 10, 9, 12, 12, 3, … #> $ published_day   <int> 22, 17, 20, 1, 13, 17, 1, 1, 12, 7, 1, 14, 1, 1, 1, 20… #> $ doi             <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…"},{"path":"https://mtmorgan.github.io/cellxgenedp/news/index.html","id":"cellxgenedp-18","dir":"Changelog","previous_headings":"","what":"cellxgenedp 1.8","title":"cellxgenedp 1.8","text":"SIGNIFICANT USER-VISIBLE CHANGES (v 1.7.2) Add vignette ‘Case studies’, include identifying dataset authors using ontolgies identify datasets (v 1.7.1) Update vignette section dataset visualization BUG FIXES (v 1.7.3) Use collections, datasets, files determine available columns","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/news/index.html","id":"cellxgenedp-16","dir":"Changelog","previous_headings":"","what":"cellxgenedp 1.6","title":"cellxgenedp 1.6","text":"SIGNIFICANT USER-VISIBLE CHANGES (v 1.6.1) Update vignette section dataset visualization accomodate changes ‘Discover’ API. https://github.com/mtmorgan/cellxgenedp/issues/15","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/news/index.html","id":"cellxgenedp-16-1","dir":"Changelog","previous_headings":"","what":"cellxgenedp 1.6","title":"cellxgenedp 1.6","text":"(v 1.5.2) use CELLxGENE ‘Discover’ API, changing column names return values. See ‘API changes’ ‘Discover download datasets…’ vignette. BUG FIXES (v 1.6.2) Use collections, datasets, files identifying available columns.","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/news/index.html","id":"cellxgenedp-14","dir":"Changelog","previous_headings":"","what":"cellxgenedp 1.4","title":"cellxgenedp 1.4","text":"SIGNIFICANT USER-VISIBLE CHANGES (v 1.3.3) add publisher_metadata(), authors(), links() make access nested ‘collections()’ data straight-forward","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/news/index.html","id":"cellxgenedp-12","dir":"Changelog","previous_headings":"","what":"cellxgenedp 1.2","title":"cellxgenedp 1.2","text":"SIGNIFICANT USER-VISIBLE CHANGES (v. 1.1.4) allow custom files_download() cache. Thanks @stemangiola, https://github.com/mtmorgan/cellxgenedp/pull/9 (v. 1.1.6) datasets ethnicity field renamed self_reported_ethnicity (v. 1.1.7) use zellkonverter’s basilisk-based Python parser read H5AD files vignette, see https://github.com/theislab/zellkonverter/issues/78 (v. 1.1.2) reset cache build machines weekly (v. 1.1.6) use {rjsoncons} CRAN package queries, rather local implementation. Thanks @LiNk-NY, https://github.com/mtmorgan/cellxgenedp/pull/12","code":""},{"path":"https://mtmorgan.github.io/cellxgenedp/news/index.html","id":"cellxgenedp-007","dir":"Changelog","previous_headings":"","what":"cellxgenedp 0.0.7","title":"cellxgenedp 0.0.7","text":"(v. 0.0.7) make errors local cache update accessible; see https://github.com/mtmorgan/cellxgenedp/issues/1","code":""}]