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1 to 10 of 102 Results
Jan 12, 2021 - Applications of Robots for COVID-19 Response
Murphy, Robin; Gandudi, Vignesh Babu Manjunath, 2021, "Actual Use of Robots for COVID-19 response", https://doi.org/10.18738/T8/SR6HE0, Texas Data Repository Dataverse, V5
The dataset contains 326 instances of actual use of robots for COVID-19 response across 46 countries classified into 6 socio-technical work domains. The data was collected from web search, press reports, social media, and scientific literature.
Jan 7, 2021 - Switchgrass Genome Dataverse
MacQueen, Alice, 2021, "SNP and Annotation Data for Switchgrass genome paper", https://doi.org/10.18738/T8/ET9UAU, Texas Data Repository Dataverse, V1
SNP data used for genome-wide association in the switchgrass genome paper. SNP data includes five sets of three SNP files (with the same filename, and .bed, .bim, and .fam file extensions), and two annotation data files.
Dec 13, 2020 - Switchgrass Genome Dataverse
Lovell, John; MacQueen, Alice; Napier, Joe, 2020, "Replication Data for: Switchgrass Genome Paper", https://doi.org/10.18738/T8/J377KE, Texas Data Repository Dataverse, V1
R script containing the code to replicate the results of the switchgrass genome paper. Includes code to: a) run the neural network to assign ecotypes to switchgrass individuals, identified by PLANT_ID's (six character strings that typically begin with J), based on individuals wit...
Oct 26, 2020 - Austin AI Housing Analysis Dataverse
Travis Central Appraisal District, 2020, "Travis Central Appraisal District - 2019 CERTIFIED APPRAISAL ROLL EXPORT", https://doi.org/10.18738/T8/SJOR5W, Texas Data Repository Dataverse, V1
Downloaded from Travis Central Appraisal District (TCAD) website on Nov 20, 2019 https://www.traviscad.org/reports-request/
Oct 26, 2020 - Austin AI Housing Analysis Dataverse
Travis Central Appraisal District, 2020, "Travis Central Appraisal District - 2020 CERTIFIED APPRAISAL ROLL EXPORT", https://doi.org/10.18738/T8/QGRX7B, Texas Data Repository Dataverse, V1
Downloaded from Travis Central Appraisal District (TCAD) website on Oct 16, 2020 https://www.traviscad.org/reports-request/
Aug 10, 2020 - Forensic Science Study Dataverse
Sare, Laura, 2019, "Forensic Science Information Seeking 2017 Data", https://doi.org/10.18738/T8/2BAQEO, Texas Data Repository Dataverse, V2
Response data from survey posted to the American Academy of Forensic Sciences in 2017 in fulfillment of NIJ Grant.
Jun 30, 2020 - Janelle Hedstrom Dataverse
Chiochios, Maria; Hedstrom, Janelle; Pierce Meyer, Katie; Rader, Mary, 2020, "Relationship Between Library Collections and the Recruitment and Retention of Faculty at UT Austin", https://doi.org/10.18738/T8/EAKPUD, Texas Data Repository Dataverse, V1
This study was conducted as part of the Association for Research Libraries' Research Library Impact Framework initiative: https://www.arl.org/category/our-priorities/data-analytics/research-library-impact-framework/
May 19, 2020 - Texas Tech University Dataverse
Heath, Kristen, 2020, "Replication Data for: Detectability and Abundance of Snowy Plovers at Salt Plains National Wildlife Refuge, Oklahoma", https://doi.org/10.18738/T8/BOJWVZ, Texas Data Repository Dataverse, V1
Distance sampling survey data of Snowy Plovers (Charadrius nivosus) at Salt Plains National Wildlife Refuge in 2017 and 2018.
May 13, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Flood Hazard Modeling Output", https://doi.org/10.18738/T8/FVJFSW, Texas Data Repository Dataverse, V2
The results from a flood hazard study using the Random Forest Classification method to predict the probability of flooding at 30-m resolution for a 30,523 km2 area. We generate flood hazard maps for twelve USGS 8-digit watersheds along the coast in southeast Texas.
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, TWI", https://doi.org/10.18738/T8/85LBLA, Texas Data Repository Dataverse, V1
TWI is calculated by the following equation: TWI= Ln ((flow_accumulation * 900) + 1 )/(Tan((slope*π)/180 )) Where high values of TWI are associated with areas that are concave, low gradient areas where water often accumulates and pools making them more vulnerable to floods.
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