GRE Enzymes for Vector Analysis

Metadata Updated: January 18, 2020

Microbial enzyme data that were collected during the 2004-2006 EMAP-GRE program. These data were then used by Moorhead et al (2016) in their ecoenzyme vector analysis paper.

This dataset is associated with the following publication: Moorhead, D., R. Sinsabaugh, B. Hill , and M. Weintraub. Vector analysis of ecoenzyme activities reveal constraints on coupled C, N and P dynamics. SOIL BIOLOGY AND BIOCHEMISTRY. Elsevier Science Ltd, New York, NY, USA, 93: 1-7, (2016).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

References

https://doi.org/10.1016/j.soilbio.2015.10.019

Dates

Metadata Created Date November 22, 2016
Metadata Updated Date January 18, 2020

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date November 22, 2016
Metadata Updated Date January 18, 2020
Publisher U.S. EPA Office of Research and Development (ORD)
Unique Identifier A-76hm-174
Maintainer
Brian Hill
Maintainer Email
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Data Dictionary https://pasteur.epa.gov/uploads/174/documents/GRE%20Vectors%20Data%20Dictionary.docx
Data Dictionary Type application/vnd.openxmlformats-officedocument.wordprocessingml.document
Harvest Object Id 5fbf53dc-d814-4983-a4ca-43875814c164
Harvest Source Id cf9b0004-f9fd-420e-bade-a86839e82acf
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license.html
Data Last Modified 2016-08-10
Program Code 020:000
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents https://doi.org/10.1016/j.soilbio.2015.10.019
Source Datajson Identifier True
Source Hash e05e1e373d6dbb40e3e0acfe92c0978d4b2c72a4
Source Schema Version 1.1

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