Releases: ropensci/EML
EML 2.0.6
- Improved performance of
shiny_attribtues
by caching calls tounits::valid_udunits_prefixes
(See #332). This should dramatically improve performance of the Shiny application for certain use cases. - Changed how
set_taxonomicCoverage
works to follow the EML schema's guidance on handling species names (See #328). Species named are now stored as-is rather than split into genus and species. - Extended
set_taxonomicCoverage
when called withexpand=TRUE
to support multiple values (See #329) - Fixed a minor typographical issue in the Working with Units vignette (See eb16048)
- Modified how
set_attributes
sets storageType on numeric columns so it will acceptinteger
when provided by the user while still defaulting tofloat
(See #324) - Extends
get_attributes
,set_attributes
, andshiny_attributes
to support attribute-level semantic annotations (See #318) - The test suite will now skip tests dependent on taxadb when it's not installed (See #320)
EML 2.0.5
EML 2.0.1
EML 2.0.0
EML 2.0.0 is a ground-up rewrite of EML 1.x package. The primary difference is that EML 2.0.0 is built on S3 (list) objects instead of S4 object system. This makes the package interface easier to use and extend. Under the hood, this approach relies on the emld package, which uses a JSON-LD representation of EML which provides a natural translation into the list-based format.
While most high level functions for creating EML have been preserved, the change to S3 means that this package will not be backwards-compatible with many scripts which relied on the S4 system.
Added a NEWS.md file to track changes to the package.
v1.0.3
Merely a patch requested by CRAN. Avoids vignette build failures on machines that do not have Pandoc available.
The vignette on creating EML will avoid creating TextType nodes such as abstract from markdown or Word documents, which requires pandoc, if pandoc is not detected on the system. Instead, plain text chunks will be used in these sections.
Should not impact users.
v1.0.2
Initial CRAN Release
Provides a stable low-level API for parsing and serializing Ecological Metadata Language (EML) files. Four vignettes cover the basics of creating EML, reading EML, working with custom unit types, and working with metadata-driven repositories that can parse EML files and make this information available to their index and search utilities.