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161 to 170 of 55,771 Results
Replication Data for: Legislative Effectiveness, Progressive Ambition, and Electoral Success
May 19, 2026 - UVA Researchers on Harvard Dataverse
Thomsen, Danielle; Treul, Sarah; Volden, Craig; Wiseman, Alan, 2026, "Replication Data for: Legislative Effectiveness, Progressive Ambition, and Electoral Success", https://doi.org/10.7910/DVN/L6YB5I
Replication STATA dataset, STATA .do file, and STATA .log file for replicating results in "Legislative Effectiveness, Progressive Ambition, and Electoral Success." Published in the American Political Science Review. Coauthors: Danielle M. Thomsen, Sarah A. Treul, Craig Volden, and Alan E. Wiseman
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication Data for: An Expert-Sourced Measure of Judicial Ideology
May 19, 2026 - UVA Researchers on Harvard Dataverse
Cope, Kevin, 2026, "Replication Data for: An Expert-Sourced Measure of Judicial Ideology", https://doi.org/10.7910/DVN/KZ5BJF
This packages replicates PA-2024-0078.R1 - An Expert-Sourced Measure of Judicial Ideology.
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication Data for: Communicating the Politics of the Law: Legal and Legislative Rhetoric about High Court Decisions
May 19, 2026 - UVA Researchers on Harvard Dataverse
Stone, Andrew; Rivero, Albert, 2026, "Replication Data for: Communicating the Politics of the Law: Legal and Legislative Rhetoric about High Court Decisions", https://doi.org/10.7910/DVN/6UTM1H
Replication data and files for "Communicating the Politics of the Law: Legal and Legislative Rhetoric about High Court Decisions."
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication Data for: Modeling Heart Rate Patterns to Quantify Neonatal Opioid Withdrawal Syndrome
May 19, 2026 - UVA Researchers on Harvard Dataverse
Kausch, Sherry, 2026, "Replication Data for: Modeling Heart Rate Patterns to Quantify Neonatal Opioid Withdrawal Syndrome", https://doi.org/10.7910/DVN/BZGDMV
Anonymized data set for replication of study findings.
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Published Dataset File
May 18, 2026 - UVA Resource and Data Exchange Public Datasets
Loomba, Johanna, 2026, "Published Dataset File", https://doi.org/10.18130/V3/LFHOUW, University of Virginia Dataverse, V2
This file is being shared here to demostrate the file publishing capabilities of the RDE.
geo-us-states_EN.csv
May 18, 2026 - Published Dataset File
Comma Separated Values - 3.2 KB - SHA1: f5c4eb7e68939b479dd380a7ca970d4e9579627d
Data
Public Data Commons File
AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia
May 18, 2026 - Department of Computer Science
Riya Ghate; Jingran Chen; Aparna Kishore; Madhav V Marathe, 2026, "AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia", https://doi.org/10.18130/V3/AYLB4S, University of Virginia Dataverse, V2, UNF:6:Xfi38fbR1I/lROEteajzow== [fileUNF]
Data centers are among the fastest-growing loads on the U.S. electrical grid. Virginia, the world's largest data center market, is an ideal testbed for analyzing energy and infrastructure impacts. However, researchers and policymakers lack open, consistent facility-level data for effective regional planning and impact analysis. Existing datasets ar...
baxtel_validation.py
May 15, 2026 - AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia
Python Source Code - 6.3 KB - MD5: d6425da38452c7658aab79670c770791
dist_residential.py
May 15, 2026 - AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia
Python Source Code - 12.2 KB - MD5: ed0b20cf0c331ba8715905c6a554c5b9
dist_substation.py
May 15, 2026 - AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia
Python Source Code - 9.8 KB - MD5: d26c276bcd462dd2082256b34f8fb19a
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