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May 13, 2020 - Lyndon B. Johnson National Grasslands Evapotranspiration Partitioning Study
Adkison, Christopher, 2020, ""Water" Manuscript Figure Data", https://doi.org/10.18738/T8/GOSEQV, Texas Data Repository Dataverse, V1
These data were used to create figures for my master's thesis submitted to Texas A&M University, as well as for the figures used in the manuscript submitted to the journal "Water".
BEARdata Dataverse(Baylor University)
BEARdata Dataverse logo
Oct 7, 2015
Baylor Electronically Accessible Research Data (BEARdata) is the data repository for Baylor University hosted at the Texas Data Repository
Sep 12, 2017BEARdata Dataverse
Data repository for researchers in the College of Arts and Sciences at Baylor University
Nov 18, 2019 - Modeling organically fertilized flooded rice systems in Texas and its long-term effects on grain yield, methane emissions, and soil ecosystem services
Pandey, Aditi, 2019, "DNDC input parameters", https://doi.org/10.18738/T8/5VVMOL, Texas Data Repository Dataverse, V1
Input parameters for calibration with the greenhouse study and validation with the field data are listed.
May 13, 2020 - Lyndon B. Johnson National Grasslands Evapotranspiration Partitioning Study
Adkison, Christopher, 2020, "Eddy Covariance Flux Footprint Modeling", https://doi.org/10.18738/T8/QMW8ZF, Texas Data Repository Dataverse, V1
These data contain the appropriate formatting for input files, and the associated outputs for Kljun et al. (2015) Eddy Covariance Flux Footprint Modeling tool accessible at https://geography.swansea.ac.uk/nkljun/ffp/www/index.php. These data are for May 2019 at LBJ National Grass...
Geosciences Dataverse(Baylor University)
Sep 12, 2017College of Arts and Sciences Dataverse
Data repository for the Department of Geosciences at Baylor University
HAWQS Dataverse(Texas A and M University)
Mar 18, 2020Texas A&M University Dataverse
The HAWQS project (http://hawqs.tamu.edu) developed in cooperation with USDA-ARS and USEPA for the lower 48 states of the conterminous US to model the water quantity and quality due to land management changes using the SWAT (http://swat.tamu.edu) model and associated databases av...
Mar 18, 2020 - HAWQS Dataverse
HAWQS, 2020, "HAWQS System and Data to model the lower 48 conterminous U.S using the SWAT model", https://doi.org/10.18738/T8/XN3TE0, Texas Data Repository Dataverse, V1
The Hydrologic and Water Quality System (HAWQS) is a web-based modeling platform that utilizes the Soil and Water Assessment Tool (SWAT) for regional to nationwide assessments of different scenarios for water quality and hydrology. HAWQS allows users to easily create watershed mo...
Historical Air Photos Dataverse(Baylor University)
Apr 25, 2018Geosciences Dataverse
This contains mosaics and other files pertaining to the historical air photo project
Apr 25, 2018 - Historical Air Photos Dataverse
Bolles, Kasey, 2018, "KS_HAMILTON_1939", https://doi.org/10.18738/T8/X91MGH, Texas Data Repository Dataverse, V1
Digitized index sheets and 185 photogrammetric scans of original aerial reel film from an aerial survey of Hamilton County, Kansas taken March 18 & 19, 1939 and April 1 & 19, 1939. Scale is 1:20,000.
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