71 to 80 of 19,801 Results
Apr 24, 2024 - Plasma Science and Fusion Center Dataverse
G.M. Wallace, E. Botica Artalejo, M.P. Short, K.B. Woller, 2022, "Ultra-rapid, physics-based development pathway for reactor-relevant RF antenna materials", https://doi.org/10.7910/DVN/QQGRCI, Harvard Dataverse, V2
This paper presents a rapid, atomistically-informed, experimental development pathway for fusion reactor-relevant radio frequency (RF) antenna materials in the Cu-Cr-(Nb,Al,Zr) composition system, with the goal of improving upon GRCop-84. RF antennas in a tokamak fusion reactor will face a unique set of challenges as both structural and functional... |
Apr 22, 2024 - PhilLab Dataverse
Phillips, Jonathan, 2022, "Repository for Domain-general modal cognition", https://doi.org/10.7910/DVN/TT5JOO, Harvard Dataverse, V3, UNF:6:+FIpPcOIZkbEf/MAYxRkdQ== [fileUNF]
This repository contains the data, code, experimental materials, and a technical write-up for Hecht, E. & Phillips, J. (under review). Domain-general modal cognition. |
Apr 20, 2024
Müller, Martin; Gogishvili, David; Wolfe, Sven Daniel; Gaffney, Christopher; Hug, Miriam; Leick, Annick, 2022, "Dataset: Peak event: the rise, crisis and potential decline of the Olympic Games and the World Cup", https://doi.org/10.7910/DVN/82MMTK, Harvard Dataverse, V5
Dataset for growth of Olympic Games (Summer and Winter) and World Cup, 1964-2020 Eleven variables are included for each event: - number of athletes - number of events - number of participating countries - accredited media - Countries broadcast - Tickets sold - Ticketing revenue - Broadcast revenue - Sponsorship revenue - Cost of venues - Cost of or... |
Apr 10, 2024 - Anonymous Dataverse
Anonymous, 2022, "Replication Data for Ambivert Project", https://doi.org/10.7910/DVN/RVAELR, Harvard Dataverse, V6, UNF:6:vw59IwTLlsptcKaGfL48fg== [fileUNF]
Data for the Ambivert Project |
Apr 4, 2024 - WorldFish Dataverse
Rajaratnam, Surendran, 2022, "Gender integration in APART Project", https://doi.org/10.7910/DVN/U9FLMU, Harvard Dataverse, V2
The study was part of gender integration in the APART project. The Project Development Objective is to add value and improve the resilience of selected agriculture value chains, focusing on smallholder farmers and agro-entrepreneurs in targeted districts of Assam. Fish has been prioritized as one of the value chains for interventions under APART. |
Mar 28, 2024 - Winter wheat potential yield experiment in New Zealand and response to variable sowing dates and densities: field experiments and AgMIP-Wheat multi-model simulations
Dueri, Sibylle; Brown, Hamish; Asseng, Senthold; Ewert, Frank; Webber, Heidi; George, Mike; Craigie, Rob; Guarin, Jose Rafael; Pequeno, Diego; Stella, Tommaso; Ahmed, Mukhtar; Alderman, Phillip D.; Basso, Bruno; Berger, Andres G.; Bracho Mujica, Gennady; Cammarano, Davide; Chen, Yi; Dumont, Benjamin; Eyshi Rezaei, Ehsan; Fereres, Elias; Ferrise, Roberto; Gaiser, Thomas; Gao,Yujing; Garcia-Vila, Margarita; Gayler, Sebastian; Hochman, Zvi; Hoogenboom, Gerrit; Kersebaum, Kurt C.; Nendel, Claas; Olesen, Jørgen E.; Padovan, Gloria; Palosuo,Taru; Priesack, Eckart; Pullens, Johannes W.M.; Rodríguez , Alfredo; Rötter, Reimund P.; Ruiz Ramos, Margarita; Semenov, Mikhail A.; Senapati, Nimai; Siebert, Stefan; Srivastava, Amit Kumar; Stöckle, Claudio; Supit, Iwan; Tao, Fulu; Thorburn, Peter; Wang, Enli; Weber, Tobias Karl David; Xiao, Liujun; Zhao, Chuang; Zhao, Jin; Zhao, Zhigan; Zhu, Yan; Martre, Pierre, 2022, "Data from the winter wheat potential yield experiment in New Zealand and response to variable sowing dates and densities: field experiments and AgMIP-Wheat multi-model simulations", https://doi.org/10.7910/DVN/XA4VA2, Harvard Dataverse, V2
The dataset contains 6 growing seasons of a local winter wheat cultivar ‘Wakanui’ at two farms located in the Canterbury Region of New Zealand. The data of the experiment was used in the AgMIP-Wheat Phase 4 project to evaluate the performance of an ensemble of 29 crop models to predict the effect of changing sowing dates and rates on yield and yiel... |
Mar 27, 2024 - WorldFish Dataverse
Marwaha, Nisha; Beveridge, Malcolm; Chan, Chin Yee; Phillips, Michael, 2022, "Alternative seafood future scenario modelling", https://doi.org/10.7910/DVN/4LEOEZ, Harvard Dataverse, V2
Two growth scenarios for both the plant-based seafood and cell-based seafood subsectors were developed to better understand the subsectors’ potential impact on food and nutrition security and livelihoods in low- and middle-income countries. Informed by a literature review and stakeholder interviews, the scenarios are based on assessing the pace of... |
Mar 25, 2024
Barton, Tom, 2022, "The Comparative Voter ID Law Index", https://doi.org/10.7910/DVN/RU2F9A, Harvard Dataverse, V3, UNF:6:PfclOjyzrwqfojfNP+U2og== [fileUNF]
This data records the voter identification law provisions for countries and devolved regions around the world. |
Mar 15, 2024 - Taka-aki Asano Dataverse
Asano, Taka-aki, 2022, "Replication Data for: Ideological Extremism and Political Participation in Japan", https://doi.org/10.7910/DVN/14WETU, Harvard Dataverse, V2
Do the policy preferences expressed through political participation represent the citizens as a whole? Previous studies argue that there is no ideological bias in voting participation in Japan. However, previous studies have only analyzed Japan up to 2010, and it is unclear whether ideological bias was consistently absent in voting participation in... |
Feb 27, 2024
Salazar Morales, Diego Alonso; Pedro Pineda; Lucas Amaral Lauriano, 2022, "Replication Data for: Governing Schools in Times of Pandemic: A Set-Theoretical Analysis of the Role of Policy Capacities in School Closure", https://doi.org/10.7910/DVN/ZJV7VD, Harvard Dataverse, V3
Replication data |