81 to 90 of 128 Results
Jun 20, 2022 - ASU Library Unit for Data Science
Little, David, 2022, "Homeless Management Information System (HMIS) Usage", https://doi.org/10.48349/ASU/NJOZNU, ASU Library Research Data Repository, V1, UNF:6:lVgMtOHGB4/ktKdlxSzdyA== [fileUNF]
This dataset is derived from the Homeless Management Information System (HMIS), which is a government-run database to collect client-level data on housing and services to homeless individuals and families. This particular dataset counts the number of times each homeless individual (rows) attends each of the different services/projects (columns) ava... |
The Unit for Data Science is a hub for research collaborations and student mentorship. It is a one-of-a-kind resource at ASU Library that connects students, faculty, and staff from all university-wide disciplines. By working with the unit, both students and faculty alike have grown their knowledge of data science and increased its impact on their w... |
May 26, 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, V4, 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 were developed under Contract No. HR001119C0130 to the Defense Advanced... |
Salon, Deborah; Bhagat-Conway, Matthew Wigginton; da Silva Baker, Denise; 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 travel, air travel, working from home, online learning, shopping, and risk... |
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... |
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... |
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... |
