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41 to 50 of 198,111 Results
Jul 5, 2025
Researcher, Mixed-Methods, 2025, "Data for "AI Meets Qualitative Research: A Mixed-Methods Approach to Explaining Semi-Structured Decisions"", https://doi.org/10.7910/DVN/WAWPJR, Harvard Dataverse, V1, UNF:6:EsAizhyTm0PH4weFse62wQ== [fileUNF]
These tabular datasets were generated during Phase 2 (DEVELOPMENT) of the exploratory sequential mixed-methods design described in "AI Meets Qualitative Research: A Mixed-Methods Approach to Explaining Semi-Structured Decisions." They were used in Phase 3 (QUAN) of the study to identify influential factors and assess the direction of their impact o...
Jul 5, 2025
xu, qiuhan, 2025, "Genetically Predicted ESR1 Expression Protects Against POP: Complementary and Divergent Findings from Mendelian Randomization", https://doi.org/10.7910/DVN/Q6FHSP, Harvard Dataverse, V1, UNF:6:dXuVnwEz75rBZy8dmnQZrA== [fileUNF]
Genetically Predicted ESR1 Expression Protects Against POP: Complementary and Divergent Findings from Mendelian Randomization
Jul 5, 2025
Xuwei Tian, 2025, "Travel burden increases the risk of advanced stage at diagnosis of Breast Cancer in Kashgar, China", https://doi.org/10.7910/DVN/XI5GHT, Harvard Dataverse, V1, UNF:6:mJx6hTHPLyLBMhWaGhQumA== [fileUNF]
This file provides a minimal, anonymized dataset for the replication of the primary statistical analyses in the manuscript titled, “Travel burden increases the risk of advanced stage at diagnosis of Breast Cancer in Kashgar, China.” The data were sourced from a retrospective study cohort at the Breast Cancer Center at the First People's Hospital of...
Jul 5, 2025
Vinh Pham; Jiang, Linjia; Kamijo, Yoshio, 2024, "Replication Data for: 'When Fairness is Unfair: Norm Abandonment in Bargaining and Its Implications for Peace Negotiations' published in the Journal of Conflict Resolution", https://doi.org/10.7910/DVN/BIKP4D, Harvard Dataverse, V4, UNF:6:VutvEaPgXY7hSxTQ8qEGTg== [fileUNF]
This data set contains instructions, codes and replication data for experimental study: 'When Fairness is Unfair: Norm Abandonment in Bargaining and Its Implications for Peace Negotiations' published in the Journal of Conflict Resolution.
Jul 5, 2025
Dionne, Lee, 2025, "Replication Data for: Correcting the Record: Congressional Efforts to Curb the Supreme Court, 1989-2008", https://doi.org/10.7910/DVN/IW4PM5, Harvard Dataverse, V1, UNF:6:lUb5gBtSTxNZuQlWOUYhfQ== [fileUNF]
Every court curbing provision identified between 1989 and 2008 is placed in a text file and organized by topic and policy category. Provision-level and bill-level data summarizing this information are included. Please see the codebooks associated with each of the text files, provision-level data, and the bill-level data for more information.
Jul 5, 2025
Heryana, Nono, 2025, "Dataset for “The Interaction Between Sovereign Risk, Global Volatility, and Domestic Stock Returns: An Indonesian Case Study"", https://doi.org/10.7910/DVN/DVBOYU, Harvard Dataverse, V1, UNF:6:m6SNKr+cupw920HzdOC5Zg== [fileUNF]
This dataset contains monthly and quarterly time-series data from 2012 to 2024 for Indonesian sovereign credit risk (∆CDS), global volatility (VIX), international equity proxy (MSCI World Index), Indonesia Stock Exchange Composite Index (IHSG), exchange rate (USD/IDR), and inflation. The dataset supports the empirical analysis in the article titled...
Jul 5, 2025
Ou-Yang, Ray, 2025, "Replication Data and Code for: 'Dividing Stakes: Economic Interdependence, Natural Resources, and Conflict'", https://doi.org/10.7910/DVN/ZESGCB, Harvard Dataverse, V2, UNF:6:7BMYULhjILTfc4kqQ2RFUg== [fileUNF]
Replication materials for: "Dividing Stakes: Economic Interdependence, Natural Resources, and Conflict." This study examines how trade helps maintain peace to varying levels across contested issues. I argue that trade is more likely to prevent militarized interstate disputes over issues primarily salient for natural resources. Applying data from th...
Jul 5, 2025
Takahashi, Yuriko; Song, Jaehyun; Iida, Takeshi, 2025, "Replication Data for: "Transnational Political Participation of Undocumented Mexican Immigrants in the US: Respondent-Driven Sampling with the Hard-to-Reach Population"", https://doi.org/10.7910/DVN/NLCRAD, Harvard Dataverse, V1, UNF:6:D0uLPt9TaJe+3tZSzfCPYA== [fileUNF]
This study examines the political participation of undocumented Mexican immigrants residing in the United States in Mexican external voting. As international mobility of people has increased globally, scholarly attention has grown concerning how overseas citizens engage in electoral processes in their countries of origin. However, previous studies...
Jul 5, 2025
Barfar, Arash, 2025, "Final Datasets for "AI Meets Qualitative Research: A Mixed-Methods Approach to Explaining Semi-Structured Decisions"", https://doi.org/10.7910/DVN/O2YYNC, Harvard Dataverse, V1, UNF:6:EsAizhyTm0PH4weFse62wQ== [fileUNF]
The final tabular datasets were generated during Phase 2 (DEVELOPMENT) of the exploratory sequential mixed-methods design described in "AI Meets Qualitative Research: A Mixed-Methods Approach to Explaining Semi-Structured Decisions." These datasets were used in Phase 3 (QUAN) to identify influential factors and assess the direction of their impact...
Jul 5, 2025
Chang, Vincent Chieh-Ying, 2025, "A machine learning early warning system for global digital health inequality", https://doi.org/10.7910/DVN/BRSQEC, Harvard Dataverse, V1, UNF:6:9yKvzckipeR7dNwMsyVXow== [fileUNF]
Here we present a comprehensive machine learning early warning system that predicts and monitors digital health inequality across 194 countries using freely available multi-source data.
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