The Awesome Geodata Table is a searchable collection of geo data sets. If you are searching for spatial data sets for your research project, you can enter search terms or use the column filters to scan through the underlying data collection. But be aware that it just provides a collection of meta data and information on where to download the data. It does not provide the data itself. Its initial purpose was to collect data sets that could be used as environmental predictors or features in machine learning applications.
Just open the Awesome Geodata
Table and search for
data sets or use the column filters to narrow your search.
- Copy the content of the following code chunk by using the button at the top right
Parameter: <Name of a single parameter/variable in the dataset (data type: teeeeeeext)>
Dataset_name: <Full name of the dataset with optional abbreviation in round brackets (data type: teeeeeeext)>
Tags: <Tags related to the dataset (data type: teeeeeeext)>
Domain: <Strongest associated domain (data type: teeeeeeext)>
Unit: <Unit or dimension of the parameter (data type: teeeeeeext)>
Resolution_(temporal)-min: <Minimum temporal resolution (data type: teeeeeeext)>
Resolution_(temporal)-max: <Maximum temporal resolution (data type: teeeeeeext)>
Resolution_(spatial)-min_[m]: <Minimum spatial resolution in meters (data type: teeeeeeext)>
Resolution_(spatial)-max_[m]: <Maximum spatial resolution in meters (data type: teeeeeeext)>
Resolution_(spatial)-unconverted_units: <Raw units of the spatial resolution (data type: teeeeeeext)>
Resolution_(spatial)-vertical: <Vertical spatial resolution (data type: teeeeeeext)>
Coverage_(temporal)-start: <Start of the covered period (data type: teeeeeeext)>
Coverage_(temporal)-end: <End of the covered period (data type: teeeeeeext)>
Coverage_(spatial): <teeeeext (data type: teeeeeeext)>
Data-type: <teeeeext (data type: teeeeeeext)>
Data-format: <teeeeext (data type: teeeeeeext)>
Data-file_extension: <teeeeext (data type: teeeeeeext)>
Coordinate_reference_system: <teeeeext (data type: teeeeeeext)>
Download: <teeeeext (data type: teeeeeeext)>
Published_first: <teeeeext (data type: teeeeeeext)>
Literature: <teeeeext (data type: teeeeeeext)>
Version_updates: <teeeeext (data type: teeeeeeext)>
Upload_delay: <teeeeext (data type: teeeeeeext)>
Temporal_type: <teeeeext (data type: teeeeeeext)>
Access: <teeeeext (data type: teeeeeeext)>
Publisher: <teeeeext (data type: teeeeeeext)>
License: <teeeeext (data type: teeeeeeext)>
Data_limitations: <teeeeext (data type: teeeeeeext)>
Method: <teeeeext (data type: teeeeeeext)>
Usage_requirement: <teeeeext (data type: teeeeeeext)>
minTempRes: <teeeeext (data type: teeeeeeext)>
maxTempRes: <teeeeext (data type: teeeeeeext)>
Comment: <teeeeext (data type: teeeeeeext)>
- Go to the directory inst/extdata/new_entries
- Click on
Add file->Create new file - Enter a file name (!Please don’t use spaces) and use the file extension .txt
- Paste the previously copied text into the file and replace the placeholders with the meta data of the dataset that you want to add.
- When entered all meta data and finished editing of that file, scroll
down and select
Create a new branch for this commit and start a pull request. - Click on
Propose new file - Click on
Create pull request
One of the administrators of this repository will then add your new entry! We might need to make some minor changes to the entered meta data in case it doesn’t match the requirements on the column specifications.
Text… (links to Wiki?!) sdf
Please cite this table using the following bibtex entry:
@Manual{,
title = {awesome_geodata_table A Searchable Collection of Geodatasets Maintained by its Community},
author = {Anne-Karin Cooke and Sandra Willkommen and Mariana Gomez-Ospina and Maximilian Nölscher},
year = {2022},
note = {R package version 0.0.0.9000},
url = {https://github.com/MxNl/awesome_geodata_table},
}