EDI’s newsletter for June 2019 has been sent to our email subscribers. It can also be found here.
The Environmental Data Initiative (EDI) hosted a hackathon at the University of New Mexico, Albuquerque, NM, June 11-13, 2019 to collaboratively design and develop software supporting data visualization. Ten participants, including LTER information managers, graduate students, and post-docs, enthusiastically joined this effort. For more information please see here.
EDI members conducted a workshop on publishing data packages in the EDI repository at the University of New Mexico (4-6 June, 2019). Participants were trained along with EDI’s 9 Summer 2019 Fellows. For more information please see here.
EDI’s newsletter for May 2019 has been sent to our email subscribers. It can also be found here.
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).