1 to 10 of 811 Results
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. WisemanThis Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
May 19, 2026 - UVA Researchers on Harvard Dataverse
Xue, Jinming; Bessembinder, Hendrik; Chen, Shuaiyu; Cooper, Michael; Zhang, Feng, 2026, "Replication Package for: Mutual Fund Flows at Long Horizons", https://doi.org/10.7910/DVN/A2SO4I
Replication Code and Pseudo Data for "Mutual Fund Flows at Long Horizons", by Hendrik Bessembinder, Shuaiyu Chen, Michael J. Cooper, Jinming Xue, and Feng ZhangThis Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
May 19, 2026 - UVA Researchers on Harvard Dataverse
Yasin Martin, Tauheeda; Delgadillo, Guiselle; Chloe Menoud; Maverick Bonnes; Asante, Ethan; Boppuri, Neil; Elbackush, Luluah; Abebe, Helen, 2026, "Massachusetts Legal Statutes: Penalties Dataset (1692–2025)", https://doi.org/10.7910/DVN/7RACQV
This dataset tracks statutory monetary penalties and related legal financial obligations across Massachusetts law from 1692–2025. The dataset includes identifiable statutory observations, amendments, and updates associated with monetary penalties, including fines, surcharges, court costs, restitution, and related financial sanctions. Records were c...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
May 19, 2026 - UVA Researchers on Harvard Dataverse
Emanuel, Natalia; Harrington, Emma; Pallais, Amanda, 2026, "Replication Data for: 'The Power of Proximity to Coworkers'", https://doi.org/10.7910/DVN/OHFHXZ
The package is too large to host on the Harvard Dataverse, but is available to download here: https://hu.sharepoint.com/:f:/s/HarvardEconomicsDatasets/IgAyxgJNuSR2QLaD1yE1HPtWAe-3aNLeZsQed87EPzNcisM?e=RhibUc The data and programs replicate tables and figures from "The Power of Proximity to Coworkers," by Emanuel, Harrington, and Pallais. Please see...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
May 19, 2026 - UVA Researchers on Harvard Dataverse
Holbein, John; Crabtree, Charles; Sevi, Semra; Mitchell Bosley, 2026, "Can AI Help Reduce Prejudice? Evaluating the Effectiveness of AI-Powered Personalized Persuasion on Support for Transgender Rights", https://doi.org/10.7910/DVN/ZYHFIP
These files contain the replication materials for the article "Can AI Help Reduce Prejudice? Evaluating the Effectiveness of AI-Powered Personalized Persuasion on Support for Transgender Rights" at PNAS NexusThis Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
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. |
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. |
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. |
May 18, 2026 - iTHRIV 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. |
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... |
