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221 to 230 of 752 Results
Trained CNN, Coastal Imagery Dataset, and Manual Labels for Flooding Detection
Aug 18, 2023 - Coastal Eco-morphodynamics Group Dataverse
Kang, Byungho, 2023, "Trained CNN, Coastal Imagery Dataset, and Manual Labels for Flooding Detection", https://doi.org/10.18738/T8/UYZUBK, Texas Data Repository, V1
The data set encompasses the trained CNN based on ResNet-18, along with the image dataset and the manual labels, as described in "Stochastic Properties of Coastal Flooding Events – Part 1: CNN-based Semantic Segmentation for Water Detection" (https://doi.org/10.5194/egusphere-202...
Pathways From Irrigation to Prosperity, Nutrition and Resilience in Mali
Aug 17, 2023 - Mali
Stellbauer, Robert, 2023, "Pathways From Irrigation to Prosperity, Nutrition and Resilience in Mali", https://doi.org/10.18738/T8/O8UB8D, Texas Data Repository, V1
The dataset includes information gathered through a face-to-face cross-sectional survey of 1,072 households, of which 444 were irrigating households. The survey was conducted in the Mopti and Sikasso regions of Mali. The survey was a joint collaboration between the International...
Ethiopia Groundwater Games for Resource Governance
Aug 17, 2023 - Ethiopia Dataverse
Stellbauer, Robert, 2023, "Ethiopia Groundwater Games for Resource Governance", https://doi.org/10.18738/T8/NYI2YH, Texas Data Repository, V1
The study intervention included playing an irrigation groundwater governance game with multiple rounds and treatments in each village: one game with 5 men players and one game with 5 women players. Player choices and group outcomes (including water withdrawals and availability) f...
Ghana Keta Groundwater Games for Resource Governance
Aug 17, 2023 - Ghana Dataverse
Stellbauer, Robert, 2023, "Ghana Keta Groundwater Games for Resource Governance", https://doi.org/10.18738/T8/IKSBEH, Texas Data Repository, V1
The study intervention included playing an irrigation groundwater governance game with multiple rounds and treatments in each village: one game with 5 men players and one game with 5 women players. Player choices and group outcomes (including water withdrawals and availability) f...
Ghana Upper East Region Groundwater Games for Resource Governance
Aug 17, 2023 - Feed the Future Innovation Lab for Small Scale Irrigation Dataverse
Stellbauer, Robert, 2023, "Ghana Upper East Region Groundwater Games for Resource Governance", https://doi.org/10.18738/T8/BN6IYU, Texas Data Repository, V1
The study intervention included playing an irrigation groundwater governance game with multiple rounds and treatments in each village: one game with 5 men players and one game with 5 women players. Player choices and group outcomes (including water withdrawals and availability) f...
Trained CNN, Coastal Imagery Dataset, and Manual Labels for Flooding Detection
Aug 16, 2023 - Byungho Kang for Esurf
Kang, Byungho, 2023, "Trained CNN, Coastal Imagery Dataset, and Manual Labels for Flooding Detection", https://doi.org/10.18738/T8/TJPQA0, Texas Data Repository, V2
The data set encompasses the trained CNN based on ResNet-18, along with the image dataset and the manual labels, as described in "Stochastic Properties of Coastal Flooding Events – Part 1: CNN-based Semantic Segmentation for Water Detection" (https://doi.org/10.5194/egusphere-202...
Time Series Data and Preprocessing Code for Coastal Flooding Probabilistic Analysis
Aug 14, 2023 - Byungho Kang for Esurf
Kang, Byungho, 2023, "Time Series Data and Preprocessing Code for Coastal Flooding Probabilistic Analysis", https://doi.org/10.18738/T8/FLGDS0, Texas Data Repository, V1, UNF:6:jxXJSCUh3umjOBXK/Z1f0Q== [fileUNF]
The time series data, obtained through CNN prediction, along with the associated preprocessing code, are detailed in "Stochastic Properties of Coastal Flooding Events – Part 2: Probabilistic Analysis" (https://doi.org/10.5194/egusphere-2023-238).
Byungho Kang for Esurf(Texas A and M University)
Aug 14, 2023
Ice Nucleation Data for Detonation Soot Samples
Aug 9, 2023 - Detonation Soot Ice Nucleation Dataverse
Thompson, Seth, 2023, "Ice Nucleation Data for Detonation Soot Samples", https://doi.org/10.18738/T8/PMRDPF, Texas Data Repository, V1, UNF:6:tHh0jpNr6bCAXuiaUAeFDg== [fileUNF]
Dataset contains processed data from a series of ice nucleation experiments conducted on high explosive detonation soot samples. The samples were provided by Los Alamos National Laboratory. Ice microscope experiments followed the procedures described in Fornea et al. (2009). Ice...
Detonation Soot Ice Nucleation Dataverse(Texas A and M University)
Aug 9, 2023
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