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281 to 290 of 752 Results
Nov 14, 2022 - Manqing Shao Dataverse
Shao, Manqing, 2022, "Simulated Reservoir Firm Yield", https://doi.org/10.18738/T8/3UHTRM, Texas Data Repository, V1, UNF:6:jW/y/rnP/K+s06+8SvKWIQ== [fileUNF]
“Firm yield” (FY) is a fundamental metric in Water Availability Model used to quantify surface water availability with respect to reservoirs and has been applied widely for water planning purposes. The multi-model simulated firm yield in the Historical Period (1980 – 2019), Perio...
Manqing Shao Dataverse(Texas A and M University)
Nov 14, 2022
This dataset contains the simulated reservoir firm yield under CMIP6 scenarios for the six reservoirs over the Upper Trinity River basin. The simulated results are from Trinity Water Availability Model.
Nov 8, 2022 - BMBenedict Dataverse
Benedict, Bridgett, 2022, "Moose Sores and Molt", https://doi.org/10.18738/T8/HGPOGJ, Texas Data Repository, V1
Thermal imagery, molt scoring, histological and genomic data from investigation of sores in moose on the Kenai Peninsula, Alaska
BMBenedict Dataverse(Texas A and M University)
Nov 8, 2022
Helene Andrews-Polymenis Dataverse(Texas A and M University)
Nov 7, 2022
The data found her underlies the manuscript entitled "Taxonomic and metagenomic analyses define the development of the microbiota in the chick" which can be found at: https://www.biorxiv.org/content/10.1101/2022.08.30.505967v1
Oct 4, 2022 - Shuyu Liu Dataverse
Liu, Shuyu, 2022, "QTL Mapping of Yield Components and Kernel Traits in Wheat Cultivars TAM 112 and Duster", https://doi.org/10.18738/T8/O8WIU3, Texas Data Repository, V1, UNF:6:6TbyQVPA4Ayr3jXeF4qz6g== [fileUNF]
Here is the genotype files for the mappin gpopulation
Shuyu Liu Dataverse(Texas A and M University)
Oct 4, 2022
Sep 21, 2022 - Juliana Rangel Dataverse
Rangel, Juliana, 2022, "Self removal behavior of honey bee workers, raw data", https://doi.org/10.18738/T8/U5ND7E, Texas Data Repository, V1, UNF:6:H49gaC3+nTq6mhafERiaew== [fileUNF]
Raw data for self-removal behavior in honey bee workers. Project led by graduate student Jordan Twombly Ellis and PI Dr. Juliana Rangel.
Juliana Rangel Dataverse(Texas A and M University)
Sep 21, 2022
Raw data for self removal project led by graduate student Jordan Twombly Ellis, and PI Dr. Juliana Rangel, Department of Entomology, Texas A&M University
Sep 12, 2022 - RDM project 2021-2022
Xu, Zhihong, 2022, "RDM Intervention 1", https://doi.org/10.18738/T8/NQLIJE, Texas Data Repository, V1, UNF:6:dwH15GPO0FaL+DvKf8X7eQ== [fileUNF]
This de-identified dataset is used to analyze the effect of an online RDM instruction on social science graduate students' RDM skills.
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