41 to 50 of 264 Results
Feb 19, 2026
Kaslovsky, Jaclyn; Stone, Andrew; Rivero, Albert, 2026, "Replication Data for: Promoting a Diverse Bench: An Analysis of Elite Messaging about Descriptive Representation", https://doi.org/10.7910/DVN/ES0B5K
Replication data and files for "Promoting a Diverse Bench: An Analysis of Elite Messaging about Descriptive Representation"This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Feb 19, 2026
Weerasinghe, Keshara; Xueren Ge; Tessa Heick; Lahiru Wijayasingha; Anthony Cortez; Satpathy, Abhishek, Abhi; Stankovic, John; Alemzadeh, Homa, 2026, "EgoEMS: A High-Fidelity Multimodal Egocentric Dataset for Cognitive Assistance in Emergency Medical Services", https://doi.org/10.7910/DVN/XT51K7
EgoEMS is a high-fidelity egocentric, multimodal end-to-end dataset designed to advance AI cognitive assistants for Emergency Medical Services (EMS). It captures ~20+ hours of egocentric (head-mounted) video across 233 simulated emergency scenarios with 62 participants (including 46 EMS professionals) performing realistic, protocol-aligned procedur...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Feb 19, 2026
Boldt, Damian, 2026, "Replication Data for: Democratic Transitions and International Conflict", https://doi.org/10.7910/DVN/NSHORX
Replication materials for Boldt (2025) Democratic Transitions and International ConflictThis Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Feb 19, 2026
Colmer, Jonathan; Evans, Mary F.; Shimshack, Jay P., 2026, "Replication Data for: Environmental Citizen Complaints", https://doi.org/10.7910/DVN/USRFMH
This is the replication package for "Environmental Citizen Complaints," accepted in 2025 by the Journal of Political Economy: Microeconomics.This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Feb 19, 2026
Littlewood, Keith, 2026, "Replication Data for AI as Simulation Scenario Raters", https://doi.org/10.7910/DVN/49FBTR
4 LLMs were prompted to rate 10 simulation scenarios that had already been rated with the Simulation Scenario Evaluation Tool (SSET) by 5 blinded human experts for another study. This data set contains the results for human and AI raters.This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Feb 19, 2026
Meli, Amy D.; Gawehns, Florian, 2026, "Replication Data for: Principled Pragmatism: Big Business and Campaign Contributions After January 6", https://doi.org/10.7910/DVN/GBM3DR
Files for replicating the results of the BJPS paper Principled Pragmatism: Big Business and Campaign Contributions After January 6This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Feb 19, 2026
Rivero, Albert, 2026, "Replication Data for: Partisan Hacks? How Election Cases Divide the Supreme Court", https://doi.org/10.7910/DVN/LU95AU
This is the replication package for "Partisan Hacks? How Election Cases Divide the Supreme Court"This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Feb 19, 2026
Derecki, Noel, 2026, "Replication Data for: TestHelloWorld", https://doi.org/10.7910/DVN/UV2VA1
This is a test of the applicationThis Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Feb 19, 2026
jorge, jorge cano febles, 2026, "Replication Data for: happy regression", https://doi.org/10.7910/DVN/EJZOKT
Data on subjective well-being, health, and regime type of a selection of countries. Gallup World Bank And Boix-Miller-Rosato Dichotomous Coding of DemocracyThis Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Feb 19, 2026
E Littlewood, Keith, 2026, "Paired Simulation Scenario Ratings for AI vs Human Authors", https://doi.org/10.7910/DVN/LZLQEP
5 expert raters used the SSET tool to evaluate 5 paired (AI vs Human created) scenarios, reported perceived authorship, and rated suitability for deploymentThis Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
