Data Repositories

OK NSF EPSCoR Research Product Clearinghouse

The Research Product Clearinghouse portion of the EPSCoR website provides access to a diverse body of resources from the OK NSF EPSCoR Research Infrastructure Improvement Award No. OIA-1301789 (2013-2018), “Adapting Socio-Ecological Systems to Increased Climate Variability.” Resources include a variety of datasets that researchers around the world will be able to access and build upon in future climate-related research. The Data Repository page provides access to all of the data available as a result of this project. The data described below are an important part of the OK NSF EPSCoR research team's work, which was produced in collaboration with contributing programs and agencies. [Click titles to access material.]

Cybercommons Data Repository
The Cybercommons Data Repository holds datasets related to the OK NSF EPSCoR project, including rasters for major Oklahoma watersheds, a collection of statistically downscaled time series for the Red River Basin, Kiamichi archival material, and more.  

Global Vegetation Gross Primary Production Datasets
The Global Vegetation Gross Primary Production (GPP) Datasets offer new insights into the response of vegetation to climate variability and trends during 2000-2016. The material was developed at moderate spatial (500 m) and temporal (8-day) resolutions over the entire globe during the 16-year period. The GPP datasets are based on an improved light use efficiency theory and are driven by satellite data from MODIS and climate data from NCEP Reanalysis II. They employ a state-of-the-art vegetation index gap-filling and smoothing algorithm, and a separate treatment for C3/C4 photosynthesis pathways.

M-SISNet Seasonal Survey Overviews and Codebooks
Researchers at the University of Oklahoma’s Center for Risk and Crisis Management have surveyed Oklahomans' perceptions of weather in our state, as well as those individuals' views on government policies and societal issues, to help understand how perceptions and views might shape water and energy use. Public access to codebooks of the survey data, along with a variable usage reference sheet, is available via this website. 

Oklahoma Water Survey Data Portal
The Oklahoma Water Survey Data Portal provides an online, integrated source of water information gathered from more than 20 different government agencies, tribes and organizations with water management interests and responsibilities. The portal's overriding goal is to provide water resource managers and other users with an efficient and effective method to obtain, organize and interpret local water quantity and water quality data.

Open Source Research & Data Management Framework
Many of the complexities of collaborative research are an extension of the variety and volume of data produced as researchers and practitioners with different backgrounds go about their work. As part of a multi-institutional and multi-disciplinary collaboration, this project seeks to make a broader impact on the professional community by presenting how a variety of open source solutions can be collectively organized to manage the collaborative research process. Software recommendations and implementations are detailed, as are instructional vignettes that guide users interested in developing similar data management frameworks.

Red River Basin Statistically Downscaled Ensemble
This collection contains three statistically downscaled time series datasets for the Red River Basin (South Central U.S.), and one dataset used as historical observations. Three different Global Climate Models (MPI-ESM-LR, CCSM4 and MIROC5) were downscaled using three different quantile mapping methods (CDFt, EDQM and BCQM). The variables of interest are daily maximum and minimum temperature, and daily precipitation.

Soil Moisture Dataset
This dataset provides time series soil moisture data under different vegetation functional types during the period 2011-2016. The research provides insight into streamflow responses associated with eastern redcedar encroachment and can be used as a tool to predict fluctuations in water resources under vegetation changes in sub-humid regions of the South Central U.S.

Questions? Contact Kaley Barnicoat, outreach coordinator, at or 405.744.9964.