981 to 990 of 1,196 Results
Mar 26, 2024 -
Social and Environmental Justice Implications of Flood-Related Road Closures in Virginia
Unknown - 55.2 MB -
MD5: c151332e900d550780e7f992a14dea27
Polygons representing all 2023 census tracts with all relevant data referenced in the article, including road closures summarized over census tracts as well as socio-economic variables over these same regions. |
Mar 26, 2024 -
Social and Environmental Justice Implications of Flood-Related Road Closures in Virginia
Plain Text - 5.7 KB -
MD5: 8fb0b33deb3adce7132185b45843cec1
Text file describing contents of other files contained in this data repository. |
Mar 26, 2024 -
Social and Environmental Justice Implications of Flood-Related Road Closures in Virginia
Unknown - 38.6 MB -
MD5: 00b3cb2ec872a2efcad2b28fed43b379
Road closures spatial point data, cleaned and processed from JSON files published on Virginia Department of Transportation's data portal (SmarterRoads.org). |
Mar 26, 2024 -
Social and Environmental Justice Implications of Flood-Related Road Closures in Virginia
Tabular Data - 7.6 KB - 4 Variables, 72 Observations - UNF:6:Eao7HORYKhjmqEWSJbd5Hw==
Metadata as published by Virginia Department of Transportation in reference to their Road Closures JSON files on their data portal (SmarterRoads.org). |
Jan 22, 2024
Gaal, Rachel; James L. Kinter III; Paul A. Dirmeyer; Bohar Singh, 2024, "Replication Data for: Identifying the Mechanism of Interaction Between Soil Moisture State and Summertime MCS Initiations In Weakly-Forced Synoptic Environments Using Convective-Permitting Simulations", https://doi.org/10.13021/orc2020/Y2MYGB, George Mason University Dataverse, V1, UNF:6:9+xHaykaJW+t+E2Y9oIqwg== [fileUNF]
This archive provides access to model data and analyses scripts used in the study: Identifying the Mechanism of Interaction Between Soil Moisture State and Summertime MCS Initiations In Weakly-Forced Synoptic Environments Using Convective-Permitting Simulations. The archive consi... |
Tabular Data - 3.1 KB - 5 Variables, 97 Observations - UNF:6:jM6WQMsGiT4o5pqmeIK2BQ==
csv file that is used in data analyses |
Jupyter Notebook - 43.7 KB -
MD5: efe0627c829d549bc5cdc53807cfbc19
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Jupyter Notebook - 186.3 KB -
MD5: d78274dddb431319ea3235ab66b71361
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Jupyter Notebook - 124.0 KB -
MD5: f4345ab302da2316694f03cbd1cba439
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Jupyter Notebook - 71.0 KB -
MD5: 9b4ece355a21dbe7dc117d3e0b35f765
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