Harvard Dataverse
Not a member yet
92223 research outputs found
Sort by
Replication Data for: Gender and Symbolic Representation in Non-gendered Police Work in South Korea: A Mixed Methods Approach
No full textReplication data for the paper titled "Gender and Symbolic Representation in Non-gendered Police Work in South Korea: An Experimental Examination
Replication Data for: A global panel dataset of dyadic dual citizenship acceptance
No full textDual citizenship provides access to secure legal status and rights in more than one country for an unprecedented number of migrants and their descendants around the world. While this requires the matching of legal regulations between two states, existing studies of dual citizenship typically focus on either migrant origin or destination perspectives. To explore the dyadic nature of this phenomenon we introduce the GLOBALCIT Dyadic Dual Citizenship Acceptance Dataset, covering over 1.8 million directed dyad-year observations measuring the legal rules in place in up to 201 states back to 1960. We identify regulatory trends and present estimates of the number and proportion of global migrants affected by changing policy constellations, as well as variation in acceptance across political regimes. We show that migrants are more likely to acquire destination country citizenship, and thus achieve democratic representation, in constellations where they can maintain a legal link with their origin country.
The GcDDCAD is made available freely for non-commercial use by the general public. Data are not intended to be used for determining citizenship status in individual cases, for which it is recommended to seek professional legal advice. We ask users to acknowledge its source when using the data by citing this paper: Vink, M., Van der Baaren, L. and Reichel, D. (2025). A global panel database of dyadic dual citizenship acceptance. International Migration Review.
The file 'readme.txt' provides guidance on how to use the replication file posted in this dataverse to replicate the findings reported in the paper
Book Genre and Summary NLP
No full textDataset for using book summary to determine genre.
Original data from here https://www.kaggle.com/datasets/athu1105/book-genre-prediction?resource=downloa
Replication Data for: Best Practices and the Need for Research on MA Programs in Political Science
No full textNational Center for Education Statistics (NCES) dataset of 127 political science MA programs from the College Navigator tool with program website information added
Mauritius Institute of Education Research Projects
No full textMauritius Institute of Education Research Project
Replication Data for: "Artificial Intelligence For The Identification Of Taphonomic Agents And Processes: A Reanalysis Of The Faunal Accumulation From Tritons Cave (Lleida, Spain)"
No full textHere we share the code and associated images (Tritons+leopards and wolves) to research paper "Artificial Intelligence For The Identification Of Taphonomic Agents And Processes: A Reanalysis Of The Faunal Accumulation From Tritons Cave (Lleida, Spain)
PDB: 5MV4, citrullinated CII616-639 epitope of collagen type II (ptm23) (310K, 37°C, 100 ns): random seed #2
No full textcitrullinated CII616-639 epitope of collagen type II (ptm23) (310K, 37°C, 100 ns): random seed #2. PDBs obtained every 50 ns
Service delivery considerations for the introduction of new injectable contraceptives lasting 4 and 6 months in Nigeria and Uganda: a qualitative study
No full textThis qualitative study took place between July 2021 and February 2022 and included 48 in-depth interviews (IDIs) and 11 focus group discussions (FGDs) with FP providers and other stakeholders involved with service delivery, program management, and policy making, including involvement in the introduction of 3-month DMPA-SC, in Lagos and Abuja in Nigeria and Kampala and Luwero in Uganda. IDIs and FGDs explored respondents’ reactions to and preferences for the potential introduction of new injectables lasting 4 and 6 months. These qualitative data are not included in this report.
This work was made possible through grant 2006-04825 from the Children’s Investment Fund Foundation (CIFF) and the U.S. Agency for International Development (USAID) Cooperative Agreement 7200AA20CA00016