91 to 100 of 129 Results
Dec 22, 2021
This study tested the capability of artificial social intelligence to make inferences and predictions concerning the state and behaviors of 3-person teams executing an urban search and rescue task in Minecraft. The ASIST Study-2 dataset was developed in a human subjects research study designed to assess the capability of artificial intelligence to... |
Oct 20, 2021 - Western Regional Copyright Education Project
Perry, Anali Maughan; Newell, Patrick; Mullins, Christopher; Bridgewater, Rachel; Grondin, Karen; Robinson, Max; Jedry, Jordan; Weber, Lori; Noble, Jaclyn, 2021, "Focus group transcripts for Western Regional Copyright Education Project", https://doi.org/10.48349/ASU/2HMYON, ASU Library Research Data Repository, V1
Combined, anonymized focus group transcripts from eight different focus groups conducted in March 2021 in support of the Western Regional Copyright Education Project. Report submitted to IMLS with data analysis is available at ASU Library's KEEP Repository. People involved with focus group facilitation, transcription, and preparation for submission... |
Oct 20, 2021 - Western Regional Copyright Education Project
Perry, Anali Maughan; Newell, Patrick; Weber, Lori; Bridgewater, Rachel; Grondin, Karen; Jedry, Jordan; Noble, Jaclyn; Robinson, Max, 2021, "Replication Data for: Western Regional Copyright Education Project", https://doi.org/10.48349/ASU/BDPBSY, ASU Library Research Data Repository, V1, UNF:6:KkSFj6lH2zK/1LPUkTnIGA== [fileUNF]
The survey was administered using the Qualtrics cloud survey software. Several weeks in late September 2020 were spent collecting information about all known state and regional library email lists in the 13 targeted Western states. In addition, contact information for many individuals was gathered, such as state librarians and library directors. Th... |
Oct 20, 2021
The Western Regional Copyright Education Research Project, sponsored by the Institute for Museum and Library Services Grant #RE-246437-OLS-20, is a research collaboration between librarians at California State University-Chico, Arizona State University, and Portland Community College. This collection includes the survey and focus group data generat... |
Oct 14, 2021Health Research Datasets
ASU maintains rolling data sets of Arizona births and deaths, hospital discharge data, the Behavioral Risk Factor Surveillance System (BRFSS) data, infectious disease surveillance data, and immunization data. These data are reported by county and month, contain demographics, and are available as deidentified or identified. |
Oct 14, 2021
Knowledge Enterprise hosts health data on behalf of the Arizona Department of Health Services (ADHS) as the Honest Broker for Arizona State University (ASU) and Northern Arizona University (NAU) faculty researchers. Under the current Memorandum of Understanding (MOU), the Honest Broker maintains copies of several public health datasets. The NIH All... |
Oct 14, 2021
ASU internal data catalog. |
Aug 27, 2021 - Sara Meerow Dataverse
Meerow, Sara; Keith, Ladd, 2021, "Supplementary material for Planning for extreme heat: A national survey of U.S. planners", https://doi.org/10.48349/ASU/HT5FHV, ASU Library Research Data Repository, V1
This is the supplementary material for the study Planning for extreme heat: A national survey of U.S. planners by Sara Meerow and Ladd Keith. |
Jun 21, 2021
Sadleir, Rosalind Jane, 2021, "Replication Data for: Magnetic-resonance-based measurement of electromagnetic fields and conductivity in vivo using single current administration", https://doi.org/10.48349/ASU/2T05EL, ASU Library Research Data Repository, V1
Supporting Information for Publication. Dataset contains information necessary to replicate findings. |
Jun 21, 2021
Sterner, Beckett; Cullan, Michael, 2021, "Replication Data for: Controlling the Error Probabilities of Model Selection Information Criteria Using Bootstrapping", https://doi.org/10.48349/ASU/XJC8CU, ASU Library Research Data Repository, V1
Simulation data associated with a publication in the Journal of Applied Statistics. Content addresses a simple regression case proposed by Aris Spanos and fossil trait series data from paleobiology collected by Gene Hunt, Melanie Hopkins, and Scott Lidgard. Data is formatted for use in R and is associated with the ICError R package. |
