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Subject: Computer and Information Science

1 to 10 of 14 Results

Actual Use of Robots for COVID-19 response 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.
Campus DAMS Needs Assessment 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...
Cora Dataset 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...
Database used in Machine Learning Methods to Map Stabilizer Effectiveness based on Common Soil Properties 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...
DBLP ACM Dataset 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.
DI DAMS Evaluation Rubric 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
DLREP Dataverse 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.
Libraries DAMS Eval Task Force Dataverse(Texas A&M University) 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...
Long Rubric Scores for Texas A&M Libraries DAMS Evaluation 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...

Actual Use of Robots for COVID-19 response

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.

Campus DAMS Needs Assessment

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...

Cora Dataset

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...

Database used in Machine Learning Methods to Map Stabilizer Effectiveness based on Common Soil Properties

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...

DBLP ACM Dataset

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.

DI DAMS Evaluation Rubric

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

DLREP Dataverse

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.

Libraries DAMS Eval Task Force Dataverse(Texas A&M University)

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...

Long Rubric Scores for Texas A&M Libraries DAMS Evaluation

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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