The Environmental Data Initiative is an NSF-funded project meant to accelerate curation and archive of environmental data, emphasizing data from projects funded by the NSF DEB. Programs served include Long Term Research in Environmental Biology (LTREB), Organization for Biological Field Stations (OBFS), Macrosystems Biology (MSB), and Long Term Ecological Research (LTER).
Santa Barbara Channel Marine BON: Integrated fish. Miller R., A. Rassweiler, D. Reed, K. Lafferty, L. Kui, M. O’Brien. 2017. Environmental Data Initiative. http://dx.doi.org/10.6073/pasta/1345f0148e6dfe4df9065e223b4dd783. The Santa Barbara Channel Marine Biodiversity Observation Network (BON) tracks long-term patterns in species abundance and diversity. This dataset contains counts of fish (including cryptic fish, which are deliberately sought out)… Continue reading Featured Data Contribution
EDI is now on the list of recognized data repositories for Nature for the category of “Earth and environmental sciences”. For a complete list of Nature’s recommended data repositories, please see here.
EDI will use a regular blog to keep you informed of progress on the work we started at the Albuquerque workshop (6-8 June 2017), titled “Dataset design for community survey data”. This is the first installment of that blog, and is a summary of activities since then. The goals of the workshop were to examine… Continue reading Update – Data Management for Community Survey Data, July 2017
The Ecological Metadata Language (EML) is a metadata standard developed by the ecological community for persistence, discoverability, and reuse of ecological data. EML extends the data lifespan allowing new insights and knowledge to be derived many years from now. While the highly detailed .xml structure of EML is necessary to organize and make searchable the… Continue reading EML Assembly Line R code package available
EDI’s data policy can be found under the folling URL on our webpage: https://environmentaldatainitiative.org/data/edi-data-policy/.
EDI is now registered with the Registry of Research Data Repositories (re3data.org). Our re3data.org entry and DataCite citation record can be found under the following URL: http://www.re3data.org/repository/r3d100010272. re3data.org is the largest and most comprehensive registry of research data repositories available on the web. It covers data from a wide range of disciplines and from around the world. DataCite is a… Continue reading EDI registered with re3data.org
