821 to 830 of 2,060 Results
Jul 30, 2025 -
Replication Data for Evaluation of Harmonized Landsat-8 and Sentinel-2 Data for Rapid Flood Mapping Applications
ZIP Archive - 836.5 KB -
MD5: fd7565a50978b1dac768c084b2e48858
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Jul 30, 2025 -
Replication Data for Evaluation of Harmonized Landsat-8 and Sentinel-2 Data for Rapid Flood Mapping Applications
ZIP Archive - 1.1 MB -
MD5: 61c987f35cae98846c62889e9221c108
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Jul 30, 2025 -
Replication Data for Evaluation of Harmonized Landsat-8 and Sentinel-2 Data for Rapid Flood Mapping Applications
Plain Text - 6.2 KB -
MD5: 48ca01b26dfee0331daab720a0330ea6
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Jul 30, 2025 -
Replication Data for Evaluation of Harmonized Landsat-8 and Sentinel-2 Data for Rapid Flood Mapping Applications
ZIP Archive - 7.4 GB -
MD5: 5fe43709bc1ffcfdf3296307e286d3ab
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Jul 30, 2025 -
Replication Data for Evaluation of Harmonized Landsat-8 and Sentinel-2 Data for Rapid Flood Mapping Applications
ZIP Archive - 15.8 GB -
MD5: 75348282e188d6e033412d7be4ba2fe9
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Jul 30, 2025 -
Replication Data for Evaluation of Harmonized Landsat-8 and Sentinel-2 Data for Rapid Flood Mapping Applications
ZIP Archive - 16.9 KB -
MD5: eb72ac16dbd31cb7071542bf73ca9b66
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Jul 25, 2025 - WSGS
Ring, J.D., 2025, "Depth and elevation surfaces for the Precambrian basement map of Wyoming", https://doi.org/10.15786/WYOSCHOLAR/10095, Wyoming Data Repository, V1
In 2022, the Wyoming State Geological Survey (WSGS) updated the Precambrian basement map of Wyoming originally published by D.L. Blackstone, Jr. (1993a), incorporating advances in digital mapping and refining the structural interpretation of Precambrian rocks statewide. To further improve the utility and accessibility of this work, the WSGS used ge... |
Plain Text - 7.0 KB -
MD5: cdbbcf0624f1978913c46fc770fb3d1f
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ZIP Archive - 358.2 MB -
MD5: 8fcbbc7ecd85b673f2458bbd996488e0
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Jul 11, 2025 - University of Wyoming Dataverse Collection
Ceretto, Alessandra; Saha, Nilay; Basile, Franco; Weinig, Cynthia, 2025, "Microbial and metabolomic rhizosphere effect of B. stricta genotypes are often suppressed when in local soil environment", https://doi.org/10.15786/G4WIHJ, Wyoming Data Repository, V1, UNF:6:fe3jT6iDnrpr4yJYawuzzw== [fileUNF]
Raw data (OUT_Tax_16S.sintax and metafinal.csv) used to generate phyloseq object (genoXsoil_phyloseq.rds) used for paper analysis of 16S rRNA DNA gene bacterial data. Two xls files of chemical data sampled from bulk and rhizosphere soils where bacteria were sampled, generated using MetaboAnalyst. The abstract for the paper generated using this data... |
