121 to 130 of 8,313 Results
Dec 13, 2024
Chen, Hao; Wilson, Saul; Xu, Changxin Patrick; Cheng, Cheng; Wang, Yuhua, 2023, "Chinese Organizational History Dataset", https://doi.org/10.7910/DVN/8NAGSS, Harvard Dataverse, V2
This dataset includes personnel records for Chinese political leaders. It draws from the Organizational Histories published by the Chinese Communist Party's Organization Department, including data for national and provincial leaders, as well as local leaders in Shanxi Province. |
Dec 4, 2024
Jebb, Benjamin, 2023, "Replication Data for: The Bad Neighbor Problem", https://doi.org/10.7910/DVN/ZO9MCN, Harvard Dataverse, V3, UNF:6:S2p03V1/deYDBaOA0YUrhg== [fileUNF]
This is the replication data for "The Bad Neighbor Problem," written by Ben Jebb and Alisa Laufer. The data includes information on regime type, population, various economic factors, political fragmentation, political freedom, government effectiveness, and susceptibility to terrorism for 157 unique countries between 2002-2021. |
Goldstein, Joshua R.; Alexander, Monica; Breen, Casey; Miranda González, Andrea; Menares, Felipe; Osborne, Maria; Snyder, Mallika; Yildirim, Ugur, 2023, "CenSoc-Numident", https://doi.org/10.7910/DVN/I0TLPI, Harvard Dataverse, V7
The CenSoc-Numident dataset links the 1940 census to the National Archives’ public release of the Social Security Numident file (“NARA Numident”). Our linking strategy relies on first name, last name, year of birth, and place of birth. To link unmarried women, we use father’s last name as a proxy for women’s maiden name. We use the ABE fully automa... |
Goldstein, Joshua R.; Alexander, Monica; Breen, Casey; Miranda González, Andrea; Menares, Felipe; Osborne, Maria; Snyder, Mallika; Yildirim, Ugur, 2023, "Berkeley Unified Numident Mortality Dataset (BUNMD)", https://doi.org/10.7910/DVN/TTWNK8, Harvard Dataverse, V6
The Berkeley Unified Numident Mortality Database (BUNMD) is a cleaned and harmonized version of the NARA Numident file. The BUNMD is a single standalone file comprised of the most informative parts of the 60+ application, claim, and death files released by the National Archives. All records are linked by Social Security Number. Variables of interes... |
Hammami, Mohamed Oussama, 2023, "Turbofan Specific Fuel Consumption, Size, and Mass from Correlated Engine Parameters", https://doi.org/10.7910/DVN/UW6FAP, Harvard Dataverse, V2
Purpose – Simple equations and more extended models are developed to determine characteristic engine parameters: Specific fuel consumption (SFC), engine mass, and engine size characterized by engine length and diameter. SFC (c) is considered a linear function of speed: c = c_a * V + c_b. --- Methodology – Data from 718 engines is collected from var... |
Nov 28, 2024
Gomez, Charles, 2023, "Replication Data for: The Growing Concentration of National Influence in Global Science and its Impact on Future Research.", https://doi.org/10.7910/DVN/ZSZRKK, Harvard Dataverse, V2, UNF:6:w/9mwb76fIjHV3ZlEO6/bw== [fileUNF]
Scientific influence, or the capacity of ideas and concepts to shape future research, is crucial to developing and disseminating knowledge and sustained innovation. Using nearly 240 million scientific papers published between 1990 and 2023 from OpenAlex to construct international networks of influence, I demonstrate that discursive influence, which... |
rbr plywood, 2023, "Click Caves", https://doi.org/10.7910/DVN/KAGR6N, Harvard Dataverse, V12
Desktop environments made from foraged materials. |
Pisani, Elizabeth; Rahmawati, Ayu, 2023, "Replication Data for: A randomised survey of the quality of antibiotics and other essential medicines in Indonesia, with sales volume-adjusted estimates of the prevalence of substandard medicines.", https://doi.org/10.7910/DVN/QRKDWG, Harvard Dataverse, V6, UNF:6:fVWPn7yQG0snqFUk/hKr3g== [fileUNF]
This dataset contains replication product-level data and code for weighted estimates of the prevalence of substandard medicines across five common essential medicines in Indonesia: 2 antibiotics (amoxicillin and cefixime) and 3 other medicines (allopurinol, amlodipine and dexamethasone). It also provides supplementary material for the study, includ... |
Pisani, Elizabeth, 2023, "STARmeds study repository: Methods, protocols tools and code", https://doi.org/10.7910/DVN/RKYICP, Harvard Dataverse, V5, UNF:6:vYudcYisZZ81WRs7E37Kdg== [fileUNF]
WE STRONGLY RECOMMEND VIEWING THE FILES IN THIS DATASET IN TREE VIEW. This dataset contains detailed methodology, laboratory protocols and other tools used in the STARmeds study of the quality of 5 medicines: allopurinol, amlodipine, amoxicillin, cefixime and dexamethasone, collected from pharmacies, health services and the internet, in seven distr... |
D. Casey, B. MacGowan, O. Hurricane, O. Landen, R. Nora, S. Haan, A. Kritcher, A. Zylstra, J. Ralph, E. Dewald, M. Hohenberger, A Pak, P. Springer, C. Weber, J. Milovich, L. Divol, E. Hartouni, R. Bionta, K. Hahn, D. Schlossberg, A. Moore, M. Gatu Johnson, 2023, "Diagnosing the Origin and Impact of Low-mode Asymmetries in Ignition Experiments at the National Ignition Facility", https://doi.org/10.7910/DVN/DVHGH1, Harvard Dataverse, V2
Inertial confinement fusion ignition requires high inflight shell velocity, good energy coupling between the hotspot and shell, and high areal-density at peak compression. Three-dimensional asymmetries caused by imperfections in the drive symmetry or target can grow and damage the coupling and confinement. Recent high-yield experiments have shown t... |
