Metrics
75,594 Downloads

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.

Ready to share your data? Visit the ASU Research Data Repository home to learn more and request a consultation.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

41 to 50 of 125 Results
Jun 13, 2024 - SOCIAL Neurobiology Lab
Verpeut, Jessica; Truong, Vincent; Moore, John E.; Ricoy, Ulises M., 2024, "Low-Cost Approaches in Neuroscience to Teach Machine Learning Using a Cockroach Model", https://doi.org/10.48349/ASU/W2E1YE, ASU Library Research Data Repository, V1
Dataset of manuscript, SLEAPing with cockroaches: low-cost approaches to teaching machine learning in neuroscience.
SOCIAL Neurobiology Lab (Arizona State University)
SOCIAL Neurobiology Lab  logo
Jun 13, 2024
The SOCIAL (Study of Circuits in Adolescent Life) Neurobiology lab is led by Dr. Jessica Verpeut and focuses on cerebellar circuits involved in social and flexible behavior in preclinical rodent models. We are interested in understanding sensitive periods of neural development and how brain pathways encode behavior. This collection includes work ad...
Jun 13, 2024 - Metis Center for Infrastructure and Sustainable Engineering
Chester, Mikhail; Li, Rui; Helmrich, Alysha, 2024, "San Francisco Bay Area Parking Space Inventory", https://doi.org/10.48349/ASU/EV2GTF, ASU Library Research Data Repository, V1, UNF:6:o4iDo4neMSlg6IY9o9eEJQ== [fileUNF]
The San Francisco Bay Area is one of the most progressive transportation regions in the deployment of high-capacity transit and the use of policies to encourage active transportation. Yet, there remains a dearth of knowledge on the abundance and location of parking infrastructure. The extent and location of parking supply, including on-street and o...
May 16, 2024 - Metis Center for Infrastructure and Sustainable Engineering
Hoehne, Christopher; Chester, Mikhail; King, David; Fraser, Andrew, 2024, "Phoenix Metro Parking Space Infrastructure Inventory", https://doi.org/10.48349/ASU/F9I9MD, ASU Library Research Data Repository, V1, UNF:6:Db7BzVSCZ5lO56FQg9rFGg== [fileUNF]
A parking inventory for metropolitan Phoenix, Arizona, USA is developed by cross-referencing geospatial cadastral and roadway data with minimum parking requirements. Historical growth of parking is also estimated by linking year of property development to required off-street and nearby on-street parking spaces. As of 2017, we estimate that there we...
May 6, 2024 - TOMNET - Center for Teaching Old Models New Tricks
Khoeini, Sara; Capasso da Silva, Denise; Batur, Irfan; Salon, Deborah; Lee, Yongsung; Circella, Giovanni; Dias, Felipe; Kang, Shuqing; Menon, Nikhil; Maness, Michael; Pendyala, Ram; Bhat, Chandra; Mokhtarian, Patricia, 2024, "TOMNET/D-STOP Transformative Technologies in Transportation (T4) Survey", https://doi.org/10.48349/ASU/XUP56G, ASU Library Research Data Repository, V1, UNF:6:X1KQlMUspW62ALKL6kRxXA== [fileUNF]
In 2019, four universities comprising the TOMNET (Transformative Transportation Technologies) and D-STOP Tier 1 University Transportation Centers, namely, Arizona State University, Georgia Tech, The University of Texas at Austin, and University of South Florida, conducted a survey to understand traveler attitudes, behaviors, and mobility and lifest...
TOMNET - Center for Teaching Old Models New Tricks logo
May 6, 2024
The dataverse will be used as a repository for the survey data collected through the TOMNET University Transportation Center. Driven by a wide variety of technologies, major societal shifts in demographics and values, and evolving policy instruments and planning practices, unprecedented changes are underway in transportation. It has never been more...
Apr 29, 2024 - Metis Center for Infrastructure and Sustainable Engineering
Chester, Mikhail; Fraser, Andrew; Matute, Juan; Flower, Carolyn; Pendyala, Ram, 2024, "Los Angeles County Parking Space Infrastructure Inventory", https://doi.org/10.48349/ASU/F8EQ0Y, ASU Library Research Data Repository, V1, UNF:6:rP9zyE6Tz3ohv1Amr60GZQ== [fileUNF]
Replication data for the 2015 article "Parking Infrastructure: A Constraint on or Opportunity for Urban Redevelopment? A Study of Los Angeles County Parking Supply and Growth." We estimate how parking has grown in Los Angeles County from 1950 to 2010. We find that since 1975 the ratio of residential offstreet parking spaces to automobiles in Los An...
Apr 29, 2024
The Metis Center for Infrastructure and Sustainable Engineering seeks to provide the basis for understanding, designing and managing the complex integrated built/human/natural systems that increasingly characterize our planet in the Anthropocene – the Age of Humans. To this end, we combine research, teaching, outreach and public service in an effor...
Apr 19, 2024 - Physical and Computational Thermal Manikins
Rykaczewski, Konrad; Joshi, Ankit, 2024, "Replication Data for: Characterization of human extreme heat exposure using an outdoor thermal manikin", https://doi.org/10.48349/ASU/VPDVDB, ASU Library Research Data Repository, V1, UNF:6:Mx2OLqCnt1YRYpF5nZkFEA== [fileUNF]
This dataset provides information for outdoor experiments from summer 2023 on convection and radiation measurements using ANDI, the thermal manikin. Heat transfer coefficients for all 35 manikin zones as well as grouped by anatomical zones (e.g., thigh) with relevant wind conditions are available. Programs for calculation on the heat transfer coeff...
Feb 7, 2024 - Artificial Social Intelligence for Successful Teams (ASIST)
Lixiao Huang; Adam Fouse; Nancy Cooke; Edward Weiss, 2024, "Artificial Social Intelligence for Successful Teams (ASIST) Study 4 Dragon Testbed Dataset", https://doi.org/10.48349/ASU/ZO6XVR, ASU Library Research Data Repository, V2, UNF:6:jkhVIRagnIe25M/7ClVYUg== [fileUNF]
Artificial Social Intelligence for Successful Teams (ASIST) Study 4 Dragon Testbed Dataset was developed in a human subjects research study designed to assess the capability of artificial intelligence to instantiate a Machine Theory of Teams and apply it to generate and issue (or withhold) advice to team members that improve team state (e.g., motiv...
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.