1 to 10 of 40 Results
Jan 23, 2024 - Agriculture
William J. Beksi; Md Ahmed Al Muzaddid, 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... |
Dec 22, 2023Robotic Vision Laboratory
This dataverse contains agricultural datasets created by the Robotic Vision Laboratory at the University of Texas at Arlington. |
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... |
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... |
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" |
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 |
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 |
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 " |
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... |
Dec 14, 2021
Gao, Bo; Smits, Kathleen, 2021, "Replication Data for: Experimental and numerical study of evaporation from wavy surfaces by coupling free flow and porous media flow", https://doi.org/10.18738/T8/0VWEOS, Texas Data Repository, V1, UNF:6:mN0RdRpqKWB6AgHJM3PRWQ== [fileUNF]
Replication Data for: Experimental and numerical study of evaporation from wavy surfaces by coupling free flow and porous media flow |