21 to 30 of 118 Results
Aug 18, 2025 - Artificial Social Intelligence for Successful Teams (ASIST)
Lixiao Huang; Jared Freeman; Nancy Cooke, 2025, "Artificial Social Intelligence for Successful Teams (ASIST) Study 1 Falcon Testbed Dataset", https://doi.org/10.48349/ASU/1CY5AR, ASU Library Research Data Repository, V1, UNF:6:Moq9o4psJTgh9X5zzFwDbA== [fileUNF]
Artificial Social Intelligence for Successful Teams (ASIST) has a total of 4 studies, with a program overview on this website:https://artificialsocialintelligence.org/ ASIST consists of 13 institutions and more than 300 individual contributors. Arizona State University (ASU) and Aptima as TA3 jointly developed the testbed, integrated requests from... |
Jul 18, 2025 - Active Schools & Communities Lab at Arizona State University
Poulos, Allison, 2025, "Protected bike lanes and school travel behavior", https://doi.org/10.48349/ASU/JTGD1I, ASU Library Research Data Repository, V1, UNF:6:joPr9R7MXQo+TX7BqyqBng== [fileUNF]
The purpose of this study was to assess changes in biking and walking to and from school before and after protected bike lanes were installed at two school sites in Phoenix, AZ. This dataset includes parent survey-reported attitudes about safety and support for walking and biking to school as well as reported children's school travel modes before a... |
Jul 10, 2025
Wallace, Danielle; Eason, John, 2025, "Estimating the reciprocal relationship between COVID-19 infections of prisoners and staff and infections in the surrounding communities", https://doi.org/10.48349/ASU/OMJKFZ, ASU Library Research Data Repository, V1, UNF:6:cstjai3ENg4UNuKnpEAzfA== [fileUNF]
During the pandemic, the Federal Bureau of Prison's (BOP) COVID-19 dashboard provided daily (updated at 3pm EST nightly) updates on active COVID-19 cases, recoveries, and associated deaths for staff and incarcerated persons by each prison facility (including administrative, medical, and community corrections faculties) in the federal prison system.... |
May 8, 2025 - SOCIAL Neurobiology Lab
Verpeut, Jessica; Lyle, Tristan, 2024, "Replication Data for: Adolescent cerebellar nuclei manipulation alters reversal learning and perineuronal net intensity independently in male and female mice", https://doi.org/10.48349/ASU/8JSQAJ, ASU Library Research Data Repository, V2, UNF:6:uEvuMtNJi8/+LfvDpaNNAw== [fileUNF]
Replication data for: Adolescent cerebellar nuclei manipulation alters reversal learning and perineuronal net intensity independently in male and female mice This dataset supports Adolescent cerebellar nuclei manipulation alters reversal learning and perineuronal net intensity independently in male and female mice and contains a spreadsheet of raw... |
May 8, 2025 - SOCIAL Neurobiology Lab
Lyle, Tristan; Masho Elbeh, Kristin; Chambers, Daniel; Vieira, Henrique; Verpeut, Jessica, 2025, "Replication Data for: Amelioration of social preference and alteration of cortical neurons following adolescent cerebellar nuclei perturbation", https://doi.org/10.48349/ASU/4MT3XU, ASU Library Research Data Repository, V1, UNF:6:s2qNufZEPwWb5tbKAaOSEA== [fileUNF]
This dataset supports the article on the Amelioration of social preference and alteration of cortical neurons following adolescent cerebellar nuclei perturbation and contains a spreadsheet of raw values and code plus link to the GitHub code library. |
Apr 9, 2025 - Metis Center for Infrastructure and Sustainable Engineering
Hennessy, Eleanor; Chester, Mikhail, 2025, "Data Compendium: Vulnerability of California electricity system assets to wildfires and post-wildfire debris flows", https://doi.org/10.48349/ASU/5SWRIZ, ASU Library Research Data Repository, V1, UNF:6:PypPsU7qMOYKTgUgmw05cw== [fileUNF]
The data are project results for current and future wildfire and post-fire debris flow threat to electrical infrastructure in California. The project assessed conditions using current and future fire data from Cal-Adapt, and current and future wildfire and post-fire debris flow threat from Li and Chester (doi: 10.1088/2634-4505/acb3f5), which are p... |
Jan 21, 2025
Stecher, Chad, 2025, "Replication Data for: Changing the default meal option at university events to reduce harmful environmental impacts: six randomized controlled trials", https://doi.org/10.48349/ASU/C1CWX9, ASU Library Research Data Repository, V1, UNF:6:cdUrIfuYpVnsDDYRJdugNQ== [fileUNF]
This dataset supports "Changing the default meal option at university events to reduce harmful environmental impacts: six randomized controlled trials," and includes de-identified information on the meal choices of participants at six events held across four academic institutions. The data include age, gender, education, job title, and meal choice... |
Dec 16, 2024
Wu, Jun; Tarakeshwar, Pilarisetty; Sayres, Scott G.; Meneghetti, Moreno; Kim, Hyunsub; Barreto, Juan; Buseck, Peter R., 2024, "Replication Data for: Crystal structure of Au-pseudocarbyne(C6)", https://doi.org/10.48349/ASU/3TWEI0, ASU Library Research Data Repository, V1
This dataset consists of experimental raw data collected from Au-pseudocarbyne samples that were investigated in a study to explore their crystal structures. Publication of the results, which are entitled "Crystal structure of Au-pseudocarbyne(C6)", has been accepted by the journal of Scientific Reports. The study is part of a research project "Pse... |
Dec 10, 2024 - School of Complex Adaptive Systems Research Datasets
Rondeaux, Candace; Simeone, Michael; Dalton, Ben, 2024, "Russian Paramilitary and Ultranationalist Activist Groups on VKontakte, 2019-2022", https://doi.org/10.48349/ASU/E3MIE8, ASU Library Research Data Repository, V1
This dataset consists of open source user data collected from the Russian social media platform VKontakte during two periods. The first period of collection was between November 2019 and January 2021, while the second period was between September and October 2022. In the first period, target groups were monitored for slightly over a year, and new u... |
Nov 27, 2024 - Active Schools & Communities Lab at Arizona State University
Poulos, Allison; Wilson, Kylie, 2023, "Physical activity during recess in four Arizona elementary schools", https://doi.org/10.48349/ASU/D4FR67, ASU Library Research Data Repository, V3, UNF:6:KLCd8YEp8024eESOnA9AXA== [fileUNF]
Data were collected using direct observation with the System for Observing Play and Leisure in Youth. This file includes information about four school sites where data were collected and movement information averaged by school. Methods for processing the data: Original data were entered by hand onto paper recording sheets and then transferred to an... |
