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1 to 10 of 54 Results
May 13, 2022 - COVID Future Survey
Salon, Deborah; Bhagat-Conway, Matthew; Baker, Denise da Silva; Chauhan, Rishabh; Shamshiripour, Ali; Rahimi, Ehsan; Mirtich, Laura; Khoeini, Sara; Mohammadian, Kouros; Derrible, Sybil; Pendyala, Ram, 2022, "COVID Future Wave 1 Survey Data v1.1.0", https://doi.org/10.48349/ASU/TM7DGM, ASU Library Research Data Repository, V1, UNF:6:E8fS9TOnRnxFl3V2TaS5kQ== [fileUNF]
This dataset is the product of the first wave of a nationwide longitudinal survey collecting information about travel-related behaviors and attitudes before, during, and after the COVID-19 pandemic. The survey questions cover a wide range of topics including commuting, daily trav...
May 13, 2022 - COVID Future Survey
Salon, Deborah; Bhagat-Conway, Matthew Wigginton; Chauhan, Rishabh; Magassy, Tassio; Mirtich, Laura; Rahimi, Ehsan; Costello, Adam; Derrible, Sybil; Mohammadian, Kouros; Pendyala, Ram, 2022, "COVID Future Wave 3 Survey Data v1.1.0", https://doi.org/10.48349/ASU/9O5TIA, ASU Library Research Data Repository, V1, UNF:6:UhN3OzG510Ex3Gsp5qBvMg== [fileUNF]
This dataset is the product of the third wave of a nationwide longitudinal survey collecting information about travel-related behaviors and attitudes before, during, and after the COVID-19 pandemic. The survey questions cover a wide range of topics including commuting, daily trav...
May 13, 2022 - COVID Future Survey
Salon, Deborah; Bhagat-Conway, Matthew Wigginton; Baker, Denise da Silva; Chauhan, Rishabh; Mirtich, Laura; Rahimi, Ehsan; Magassy, Tassio; Derrible, Sybil; Mohammadian, Kouros; Pendyala, Ram, 2022, "COVID Future Wave 2 Survey Data v1.1.0", https://doi.org/10.48349/ASU/OYUE7S, ASU Library Research Data Repository, V1, UNF:6:n2icATojhLhqFzVSSANXMg== [fileUNF]
This dataset is the product of the second wave of a nationwide longitudinal survey collecting information about travel-related behaviors and attitudes before, during, and after the COVID-19 pandemic. The survey questions cover a wide range of topics including commuting, daily tra...
May 10, 2022 - Artificial Social Intelligence for Successful Teams (ASIST)
Lixiao Huang; Jared Freeman; Nancy Cooke; Samantha Dubrow; John “JCR” Colonna-Romano; Matt Wood; Verica Buchanan; Stephen Caufman; Xiaoyun Yin, 2022, "Artificial Social Intelligence for Successful Teams (ASIST) Study 2", https://doi.org/10.48349/ASU/BZUZDE, ASU Library Research Data Repository, V3, UNF:6:OJ3XctVE31iBZs09zhPpFQ== [fileUNF]
The ASIST Study-2 dataset was developed in a human subjects research study designed to assess the capability of artificial intelligence to infer the state and predict the actions of members of a three-person team executing an urban search and rescue task in Minecraft. The data we...
Apr 27, 2022
Martinez, Briana; Stabenfeldt, Sarah, 2022, "Replication data for: Uncovering temporospatial sensitive TBI targeting strategies via in vivo phage display", https://doi.org/10.48349/ASU/ZTW1HN, ASU Library Research Data Repository, V1, UNF:6:sK235WMT38kbmxmkRU4w0g== [fileUNF]
The heterogeneous pathophysiology of traumatic brain injury (TBI) is a barrier to advancing diagnostics and therapeutics, including targeted drug delivery. We employed a unique discovery pipeline to identify novel targeting motifs that recognize specific temporal phases of TBI pa...
Apr 2, 2022 - ASU Canine Science Collaboratory
Gunter, Lisa M.; Gilchrist, Rachel J.; Blade, Emily M.; Reed, Jennifer L.; Isernia, Lindsay T.; Barber, Rebecca T.; Foster, Amanda M.; Feuerbacher, Erica N.; Wynne, Clive D. L., 2022, "Replication Data for: Emergency Fostering of Dogs From Animal Shelters During the COVID-19 Pandemic: Shelter Practices, Foster Caregiver Engagement, and Dog Outcomes", https://doi.org/10.48349/ASU/DQLNHM, ASU Library Research Data Repository, V1, UNF:6:ikxcHVGKsXMk+2MslLBweQ== [fileUNF]
Each year, millions of dogs enter thousands of animal shelters across the United States. Life in the shelter can be stressful, and one type of intervention that improves dogs’ experience is human interaction, particularly stays in foster homes. Prior research has demonstrated tha...
Feb 23, 2022
Dolby, Greer A.; Araya-Donoso, Raúl; Orton, Joseph P.; Ryan, Mason J.; Jones, Cristina A.; Kusumi, Kenro, 2022, "Replication Data for: Geospatial assessment of freshwater invasive species to inform turtle conservation and management", https://doi.org/10.48349/ASU/PMLVXF, ASU Library Research Data Repository, V1, UNF:6:4GuyRP5C8u5/F0134Hctqw== [fileUNF]
Occurrence data for invasive bullfrog and crayfish species in Arizona. Occurrence data obtained from Arizona Game and Fish Department reports and the public databases: iNaturalist Research-grade Observations, iMapInvasives: NatureServe’s online data system supporting strategic in...
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...
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 f...
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 indivi...
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