UMD Data Collection

Permanent URI for this collectionhttp://hdl.handle.net/1903/27670

University of Maryland faculty and researchers can upload their research products in DRUM for rapid dissemination, global visibility and impact, and long-term preservation. Depositing data in DRUM can assist in compliance with data management and sharing requirements from the NSF, NIH, and other funding agencies and journals. You can also deposit code, documents, images, supplemental material, and other research products. DRUM tracks views and downloads of your research, and all DRUM records are indexed by Google and Google Scholar. Additionally, DRUM assigns permanent DOIs for your items, making it easy for other researchers to cite your work.

Submissions to the Data Collection

To add files to the UMD Data Collection, submit a new item through your associated department or program's DRUM collection and check the box indicating your upload contains a dataset.

Find more information and guidelines for depositing into the Data Collection on the University of Maryland Libraries' DRUM for Data page.

Assistance

Please direct questions regarding the UMD Data Collection or assistance in preparing and depositing data to: lib-research-data@umd.edu.

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  • Item
    Flowering phenology at the Rocky Mountain Biological Laboratory 1973-2012
    (2013-07-31) Inouye, David
    This spreadsheet contains data on the phenology (timing) and abundance of flowering by wildflowers in 30 2x2m plots at the Rocky Mountain Biological Laboratory, from an NSF-funded research project conducted by Dr. David W. Inouye and collaborators. Metadata for this project are also available on DRUM. NOTE ADDED APRIL 2017: There is now a (slightly) corrected version of this dataset, which also includes data through 2016, assembled primarily by Dr. Jane Ogilvie and Dr. Amy Iler, through support from the National Science Foundation's program "Long-term Research in Environmental Biology". It is archived on the Open Science Framework, at https://osf.io/jt4n5/. The site includes a link to a data use policy document, which we ask users to fill out and submit so we can track use of the data and help to prevent duplication of analyses.