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1 to 10 of 14 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 45 countries classified into 6 socio-technical work domains. The data was collected from web search, press reports, social media, and scientific literature.
Applications of Robots for COVID-19 Response(Dr. Robin Murphy, Raytheon Professor of Computer Science and Engineering, Texas A and M University)
Jan 3, 2021
This Dataverse contains datasets related to applications of robots for covid-19 response.
Feb 20, 2019 - Libraries DAMS Eval Task Force Dataverse
Sewell, Robin R.; Potvin, Sarah; Melgoza, Pauline; Creel, James Silas; Huff, Jeremy T.; Bailey, Gregory T.; Bondurant, John; Buckner, Sean; duPlesis, Anton R.; Furubotten, Lisa; Mosbo Ballestro, Julie A.; Muise, Ian W.; Wright, Brian J., 2019, "Campus DAMS Needs Assessment", https://doi.org/10.18738/T8/A21OLT, Texas Data Repository Dataverse, V3, UNF:6:MS8+9vC1vugN3HEjnLXnsQ== [fileUNF]
This dataset contains the DAMS Task Force Campus Needs Assessment Survey as a PDF. Survey Data is provided in MS Excel (xslx) and csv formats. Survey Results: Questions with multiple answers: answers are separated by a double pipe (||) Questions that included other and a free tex...
Jul 21, 2017 - DLREP Dataverse
Andrew McCallum, 2017, "Cora Dataset", https://doi.org/10.18738/T8/HUIG48, Texas Data Repository Dataverse, V1
The Cora data contains bibliographic records of machine learning papers that have been manually clustered into groups that refer to the same publication. Originally, Cora was prepared by Andrew McCallum, and his versions of this data set are available on his Data web page. The da...
Jan 13, 2021 - Machine Learning Methods and Geotechnical Engineering
Gajurel, Amit; Chittoori, Bhaskar; Mukherjee, Partha Sarathi; Sadegh, Mojtaba, 2021, "Database used in Machine Learning Methods to Map Stabilizer Effectiveness based on Common Soil Properties", https://doi.org/10.18738/T8/QORZZZ, Texas Data Repository Dataverse, V3
This database consists of the unconfined compressive strength (UCS) of chemically stabilized soil along with data such as percentage of sand, silty, and clay, Liquid Limit (LL), Plastic Limit (PL), Plasticity Index (PI), percentage of stabilizer, and organic content. All of these...
Jul 14, 2017 - DLREP Dataverse
Dr. Erhard Rahm; Dr. Andreas Thor; Hanna Köpcke, 2017, "DBLP ACM Dataset", https://doi.org/10.18738/T8/G5GZ51, Texas Data Repository Dataverse, V1, UNF:6:Zf7w1oTWrNey47kRmRV99A== [fileUNF]
This data set was taken from the Benchmark datasets for entity resolution web page. It contains bibliographic data, with 4 attributes: title, authors, venue, year.
Feb 20, 2019 - Libraries DAMS Eval Task Force Dataverse
Sewell, Robin R.; Potvin, Sarah; Melgoza, Pauline; Creel, James Silas; Huff, Jeremy T.; Bailey, Gregory T.; Bondurant, John; Buckner, Sean; duPlesis, Anton R.; Furubotten, Lisa; Mosbo Ballestro, Julie A.; Muise, Ian W.; Wright, Brian J., 2019, "DI DAMS Evaluation Rubric", https://doi.org/10.18738/T8/O6O9AK, Texas Data Repository Dataverse, V2
Analysis of 25 potential DAMS by Texas A&M Univeristy Libraries IT group (Digital Initiatives). DAMS were scored on the following: Local Institutional Knowledge API Discovery Documentation Community Health Development
Jul 14, 2017
Proposed by: Prof. Dr. Erhard Rahm, Hanna Köpcke, Dr. Andreas Thor. This data set was taken from the Benchmark datasets for entity resolution web page. It contains bibliographic data, with 4 attributes: title, authors, venue, year. There are 3 CSV files in this zip archive.
Feb 20, 2019
This dataverse contains data gathered and generated by the Texas A&M University Libraries Digital Asset Management System (DAMS) Task Force (2014-09-01 to 2016-05-01). Data includes campus-wide DAMS needs assessment, Libraries IT (Digital Initiatives) assessment rubric, and testi...
Feb 20, 2019 - Libraries DAMS Eval Task Force Dataverse
Sewell, Robin R.; Potvin, Sarah; Melgoza, Pauline; Creel, James Silas; Huff, Jeremy T.; Bailey, Gregory T.; Bondurant, John; Buckner, Sean; duPlessis, Anton R.; Furubotten, Lisa; Mosbo Ballestro, Julie A.; Muise, Ian W.; Wright, Brian J., 2019, "Long Rubric Scores for Texas A&M Libraries DAMS Evaluation", https://doi.org/10.18738/T8/Q9WP3Y, Texas Data Repository Dataverse, V3
MS Excel file contains 8 worksheets for each Long Rubric evaluation subsection. Each worksheet includes final evaluation scores for DSpace, Islandora, and Hydra/Sufia for that section. Sections include: Inputting and Structuring Content User Management Ticket/Request/Workflow Sta...
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