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Share, discover, and cite research data from Arizona State University.

The ASU Research Data Repository is a platform for ASU-affiliated researchers to share, preserve, and publish research data in a way that ensures long-term accessibility, usability, and citation. Our team supports researchers in preparing high-quality, well-documented datasets that comply with funder and publisher data sharing requirements.

Curated by ASU Library data professionals, the repository enables global discovery of research data through permanent digital identifiers (DOIs). It is powered by the open-source Dataverse application developed by Harvard University and complements the KEEP Institutional Repository to support the full range of ASU research outputs.

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71 to 80 of 102 Results
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 travel, air travel, working from home, online learning, shopping, and risk...
May 13, 2022 - COVID Future Survey
Salon, Deborah; Bhagat-Conway, Matthew Wigginton; da Silva Baker, Denise; 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 travel, air travel, working from home, online learning, shopping, and ris...
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 pathology. This pipeline combined in vivo biopanning with domain antibod...
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 that fostering can reduce dogs’ cortisol and increase their resting activ...
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 invasive species management and Arizona State University Herpetology Col...
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...
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.
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