Metrics
118,098 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 96 Results
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 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...
Nov 22, 2023 - Biodiversity and long-term soil carbon sequestration at the ASU Polytechnic Arboretum
Sagers, Cynthia; Huck, Margaret; Ries, Jonathan; Page, Sophia, 2023, "2023 ASU Polytechnic Arboretum Biodiversity and long-term soil carbon sequestration", https://doi.org/10.48349/ASU/UGOBNI, ASU Library Research Data Repository, V1, UNF:6:DGWJh2yIWLu8m33NWiPd5g== [fileUNF]
Soil carbon content measurements dataset from 16 long-term research plots at the ASU Polytechnic Arboretum. As part of Cynthia Sagers's Biology 182 class, measurements are taken annually for ten years. These measurements occurred between February 16th and 17th, 2023. These data were collected as part of a general lab exercise with all 148 students...
Sep 28, 2023
Kuby, Michael; Kelley, Scott, 2023, "Replication Data for: Refueling Infrastructure Preferences and the Adoption of Alternative-Fuel Vehicles", https://doi.org/10.48349/ASU/8GO4N0, ASU Library Research Data Repository, V1, UNF:6:G0TGSlxOMvJD0w7R1UnZrA== [fileUNF]
Revealed Preference Survey of FCV Buyers in California. Survey of hydrogen fuel cell vehicle owners in California about the locations of the hydrogen stations they intended to use when they purchased their vehicle, and how their usage of particular stations changed over time. The data was analyzed to understand how buyers evaluated the sufficiency...
Sep 11, 2023
Bell, James; Zhao, Amy, 2023, "Lucy Terminal Tracking Camera (TTCam) Pre-flight Calibration Data", https://doi.org/10.48349/ASU/RVHF83, ASU Library Research Data Repository, V1, UNF:6:5CRcgC2qZ2Ywc11/xUpyOg== [fileUNF]
This dataset contains an archive of pre-flight calibration data for the Terminal Tracking Camera (TTCam) imaging system on the NASA Lucy Discovery mission to explore the Trojan asteroids of Jupiter. Dr. Hal Levison from the Southwest Research Institute in Boulder, CO, is the PI of the Lucy mission, and Professor Jim Bell from ASU is a Co-I and the...
Aug 31, 2023
Taplin, Drew; Kuby, Michael; Salon, Deborah; King, David, 2023, "Replication Data for: Ultra Low Cost Carrier Airports 2019", https://doi.org/10.48349/ASU/OMASM4, ASU Library Research Data Repository, V1, UNF:6:TFAk3BYO3k9w237Q2z9rJg== [fileUNF]
This dataset contains all of the final dependent and independent variables for replicating both regression analyses (logit and OLS) in Taplin et al. (2023)'s analysis of 2019 Ultra Low Cost Carrier (ULCC) service at the airport level. The rows of the dataset are Part 139 airports that had commercial, non-charter airline service in 2019. The final s...
Jun 5, 2023
Nittler, Larry, 2023, "Supporting Data for: Chromium on Mercury: New results from the MESSENGER X-Ray Spectrometer and implications for the innermost planet’s geochemical evolution", https://doi.org/10.48349/ASU/IDEZ4P, ASU Library Research Data Repository, V1, UNF:6:Gq3gZHe9O7sK4HKl0BMpBA== [fileUNF]
Research data supporting Chromium on Mercury project and the paper "Chromium on Mercury: New results from the MESSENGER X-Ray Spectrometer and implications for the innermost planet’s Geochemical evolution," in the Journal of Geophysical Research. The primary underlying data is archived by NASA Planetary Data System (PDS). This subset includes addit...
Jun 2, 2023 - Ronald Rutowski Research Data Collection
Rutowski, Ronald L., 2023, "Replication Data for: Courtship of the Pipevine Swallowtail Butterfly", https://doi.org/10.48349/ASU/3XRFZD, ASU Library Research Data Repository, V2, UNF:6:ycUsLfLsJI1TbT9Kjs7jXg== [fileUNF]
The data support a manuscript describing the detail of the courtship behavior of a swallowtail butterfly and a test of the hypothesis that the male's behavior in courtship has evolved to enhance the visibility to the female of his brilliant and highly directional iridescent color signal. The data are summarized in spreadsheets and metadata. README...
May 9, 2023 - Michael Dorman Research Data Collection
Dorman, Michael; Natale, Sarah, 2023, "Supplemental data for Approximations to the Voice of a Cochlear Implant: Explorations With Single-Sided Deaf Listeners", https://doi.org/10.48349/ASU/PMZYMS, ASU Library Research Data Repository, V2
Single-sided deaf listeners fit with a cochlear implant (CI) were presented a clean signal to their CI ear and then an altered version of the clean signal to their normal hearing ear. The patient was asked to report how the signal to the normal hearing ear needed to be modified to sound like the signal in the CI ear. Two visual files show the test...
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.