The software team at the Environmental Data Initiative has recently added a “PASTA+ upload report” tool to the EDI Dashboard website (https://dashboard.edirepository.org/dashboard/reports/upload_report) that allows you to query and display a list of data packages for a given scope value and for a specific period of time. The list information includes the data package identifier, DOI (if present), upload date and time, and title (if requested). The list may also be downloaded as a CSV formatted file. Requesting the title for each data package may require additional processing time if older versions of a data package are in the list. This is because metadata for older revisions is not stored in our Solr search index and, therefore, require downloading and parsing of the EML metadata to obtain the title. Read more about the EDI Dashboard.
The Environmental Data Initiative (EDI) technical team is excited to announce an enhancement to its search & discovery interface. Have you ever wanted to discover data packages based on the timespan of their temporal coverages but independent of any particular calendar dates? You can accomplish this by using the EDI Data Portal’s new feature: duration-based temporal search. Continue reading “Duration-Based Temporal Search: A New EDI Data Portal Search Feature”
In the Summer 2019 Issue of LTER’s Databits an article by Mark Servilla, Duane Costa, and James Brunt (Environmental Data Initiative, University of New Mexico) on the functionality of the EDI Dashboard was published. The article is also available on our website as part of the resources on the “Five Phases of Data Publishing (4)” here or as pdf file.
The EDI Data Portal now supports an additional code-generation service. Customized Python code can now be generated for all data tables, along with previously available R, Matlab, SAS and SPSS code. The generated Python code uses the Pandas module to generate Pandas “data frames” and produce some data summaries. The code can then be modified to perform user-specified analysis.
The idea for adding the Python code generation came from Stace Beaulieu (Northeast U.S. Shelf Long-Term Ecological Research) and Mark Servilla and Duane Costa (EDI) provided sage advice on which of the many candidate Python data structures would be most useful. John Porter (Virginia Coast Reserve Long-Term Ecological Research) added the Python code generation into the existing web service (http://www.vcrlter.virginia.edu/webservice/PASTAprog) and Duane Costa then modified the EDI Data Portal infrastructure so that code generation links automatically appear at the bottom of the listing for every EDI data package that includes one or more data tables.
Please contact John with any questions regarding the Python, R , SAS and SPSS stylesheets (email: email@example.com, Dept. of Environmental Sciences, University of Virginia, Virginia Coast Reserve Long-Term Ecological Research).
A new and improved version of the EMLassemblyline has been released on GitHub. Several enhancements have been added, including a website for exploring functions, use cases, and staying up-to-date on project news. Some functions, templates, and arguments have been deprecated in favor of others that better conceptualize the EMLassemblyline process for users and organize the codebase for developers. All changes are backwards compatible with EMLassemblyline 2.4.6 (the most widely used and stable version) and will be maintained until May 1, 2020. Contact Colin (firstname.lastname@example.org) if you have any questions or encounter any issues.