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1 to 10 of 41 Results
CitDet
Apr 12, 2024 - Agriculture
Jordan A. James; Heather K. Manching; Matthew R. Mattia; Kim D. Bowman; Amanda M. Hulse-Kemp; William J. Beksi, 2024, "CitDet", https://doi.org/10.18738/T8/QFVHQ5, Texas Data Repository, V1
The CitDet dataset is composed of images captured at the USDA Agricultural Research Service Subtropical Insects and Horticulture Research Unit in Fort Pierce, FL, USA. Data was collected between October 2021 and October 2022. 579 images were captured from different sections of th...
TexCot22
Jan 23, 2024 - Agriculture
Md Ahmed Al Muzaddid; William J. Beksi, 2024, "TexCot22", https://doi.org/10.18738/T8/5M9NCI, Texas Data Repository, V2
The TexCot22 dataset is a set of cotton crop video sequences for training and testing multi-object tracking methods. Each tracking sequence is 10 to 20 seconds in length. The dataset contains of a total of 30 sequences of which 17 are for training and the remaining 13 are for tes...
Agriculture(University of Texas at Arlington)
Dec 22, 2023Robotic Vision Laboratory
This dataverse contains agricultural datasets created by the Robotic Vision Laboratory at the University of Texas at Arlington.
Robotic Vision Laboratory(University of Texas at Arlington)
Robotic Vision Laboratory logo
Dec 12, 2023
This dataverse contains datasets generated by the Robotic Vision Laboratory (RVL) at the University of Texas at Arlington. Directed by Prof. William J. Beksi, the objective of the RVL is to promote basic research, education, and outreach in robot perception, human-robot interacti...
Pore connectivity influences mass transport in natural rocks: Pore structure, gas diffusion and batch sorption studies
Feb 1, 2023
Hu, Qinhong, 2023, "Pore connectivity influences mass transport in natural rocks: Pore structure, gas diffusion and batch sorption studies", https://doi.org/10.18738/T8/KD3C1Z, Texas Data Repository, V1, UNF:6:EE0hhLrKxh1Cs7fcAbRamg== [fileUNF]
The Excel file contains supplementary dataset, in various sheets, for a manuscript entitled "Pore connectivity influences mass transport in natural rocks: Pore structure, gas diffusion and batch sorption studies" The Word file of "Data Dictonary" briefly explained the data in eac...
Supplementary Information for "Understanding Mid-to Large Underground Leaks from Buried Pipelines as Affected by Soil and Atmospheric Conditions – Field Scale Experimental Study"
Supplementary Information for "Understanding Mid-to Large Underground Leaks from Buried Pipelines as Affected by Soil and Atmospheric Conditions – Field Scale Experimental Study"
Aug 10, 2022
Jayarathne, Navodi J.R.R.; Smits, Kathleen M; Riddick, Stuart N.; Zimmerle, Daniel J.; Cho, Younki; Schwartz, Michelle; Cheptonui, Fancy; Cameron, Kevan; Ronney, Peter, 2022, "Supplementary Information for "Understanding Mid-to Large Underground Leaks from Buried Pipelines as Affected by Soil and Atmospheric Conditions – Field Scale Experimental Study"", https://doi.org/10.18738/T8/MRX54H, Texas Data Repository, V1
Supplementary Materials for "Understanding Mid-to Large Underground Leaks from Buried Pipelines as Affected by Soil and Atmospheric Conditions – Field Scale Experimental Study"
Replication Data for: A Closer Look at Underground Natural Gas Pipeline Leaks Across the United States
Aug 1, 2022
Cho, Younki; Smits, Kathleen M.; Steadman, Nathaniel L.; Ulrich, Bridget A.; Bell, Clay S.; Zimmerle, Daniel J., 2022, "Replication Data for: A Closer Look at Underground Natural Gas Pipeline Leaks Across the United States", https://doi.org/10.18738/T8/32VPN0, Texas Data Repository, V1
Replication Data for: A Closer Look at Underground Natural Gas Pipeline Leaks Across the United States
Replication Data for: Investigating Detection Probability of Mobile Survey Solutions for Natural Gas Pipeline Leaks under Different Atmospheric Conditions
Aug 1, 2022
Tian, Shanru; Riddick, Stuart; Cho, Younki; Bell, Clay; Zimmerle, Daniel; Smits, Kathleen, 2022, "Replication Data for: Investigating Detection Probability of Mobile Survey Solutions for Natural Gas Pipeline Leaks under Different Atmospheric Conditions", https://doi.org/10.18738/T8/DYIIJY, Texas Data Repository, V1, UNF:6:YGtiKYeE9d3Uca2jDxfyMQ== [fileUNF]
Replication Data for: Investigating Detection Probability of Mobile Survey Solutions for Natural Gas Pipeline Leaks under Different Atmospheric Conditions
Replication Data for "Estimating methane emissions from underground natural gas pipelines using an atmospheric dispersion-based method "
May 18, 2022
Tian, Shanru; Smits, Kathleen M.; Cho, Younki; Riddick, Stuart; Zimmerle, Daniel; Duggan, Aidan, 2022, "Replication Data for "Estimating methane emissions from underground natural gas pipelines using an atmospheric dispersion-based method "", https://doi.org/10.18738/T8/UAO5XX, Texas Data Repository, V1, UNF:6:hAUa71rDj/ZcIi3Ico465w== [fileUNF]
Replication Data for "Estimating methane emissions from underground natural gas pipelines using an atmospheric dispersion-based method "
Ecology of Texas Zebra Mussels
May 10, 2022
Arterburn, Heather, 2022, "Ecology of Texas Zebra Mussels", https://doi.org/10.18738/T8/UCNVWB, Texas Data Repository, V1, UNF:6:myTtOAZLmkIv7RclsrVo7A== [fileUNF]
Data analyzing the zebra mussel population dynamics in three Texas reservoirs over a period of 3-5 years. Data includes shell length of adult and planktonic larvae samples collected monthly, growth rates, reproductive periods, and settlement patterns. Additionally, water quality...
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