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1,491 to 1,500 of 1,745 Results
Mar 7, 2019 - Hydrocarbon Production Data
Patzek, Tadeusz, 2019, "Barnett Shale in Texas: Promise and Problems", https://doi.org/10.18738/T8/3MLRLO, Texas Data Repository, V1
Estimates of Production from Barnett Shale by Tadeusz Patzek
Hydrocarbon Production Data(University of Texas at Austin)
Mar 6, 2019
For data on hydrocarbon production
Children's Households(University of Texas at Austin, Population Research Center, Children's Households)
Feb 25, 2019Kelly Raley Dataverse
Data and code related to the Children's Households Project
Kelly Raley Dataverse(University of Texas at Austin, Population Research Center)
Feb 25, 2019
Code and data files for completed and ongoing research projects.
Feb 25, 2019 - R for Geospatial Analysis
Beagle, Emily, 2019, "state_interstates_demo", https://doi.org/10.18738/T8/ELZUJS, Texas Data Repository, V1
This script is written for use with RStudio and was used for the demonstration in the Data & Donuts R for Geospatial Analysis workshop
SLAB Lab Dataverse(University of Texas at Austin)
Feb 20, 2019Germanic Studies Dataverse
Dataverse for the Second Language Acquisition and Bilingualism (SLAB) Lab under the direction of Dr. Nick Henry at the University of Texas at Austin.
Latin American Collections(University of Texas at Austin)
Feb 19, 2019Benson Latin American Collection
Datasets derived from the Latin American archives at the Benson Latin American Collection.
Feb 19, 2019 - R for Geospatial Analysis
Beagle, Emily, 2019, "US_Interstates", https://doi.org/10.18738/T8/B62UHN, Texas Data Repository, V1
This dataset is a shapefile containing spatial lines data for interstates in the lower 48 states of the United States. These data were modified from http://opendata.dc.gov/datasets/fad13f5c12d946448dc8eb532664903f_1/data
Feb 19, 2019 - R for Geospatial Analysis
Beagle, Emily, 2019, "US_states", https://doi.org/10.18738/T8/LITXIT, Texas Data Repository, V1
This dataset contains the shapefile for boundaries of the lower 48 states in the United States. These data were modified from tl_2018_us_state.zip https://www.census.gov/cgi-bin/geo/shapefiles/index.php?year=2018&layergroup=States+%28and+equivalent%29
R for Geospatial Analysis(University of Texas at Austin)
Feb 18, 2019
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