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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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1 to 10 of 125 Results
Apr 7, 2026
Raval, Shreya; Martinelli, Sarah; Dykstra, Tatum; Ohri-Vachaspati, Punam, 2026, "Replication Data for: State and federal policies and school meal participation: A descriptive analysis from Arizona", https://doi.org/10.48349/ASU/S6OQPS, ASU Library Research Data Repository, V1, UNF:6:WuS56aMtT7xjEkGEdAgewA== [fileUNF]
This analytical dataset was created using data provided by the Arizona Department of Education (ADE) and the National Center for Education Statistics (NCES). It includes school meal participation rates for Arizona public and charter schools from July 2022 through June 2024. A data dictionary will be included to describe all variables and facilitate...
Mar 19, 2026 - ASU Library Unit for Data Science
Abbasov, Namig; Mehta, Hetavi Dilip; Dwivedi, Vishnu; Abhiramacheri, Vaibhav; Panda, Abhipsa; Rathod, Mohak Narendrakumar; Chandrasekhar, Tejas; Ndegwa, Martin Mwangi; Zhang, Fan; Mysore Srinidhi, Chinmayi; Patel, Puravkumar; Tang, Wei Chieh; Bhatia, Sargun; Vongsenekeo, Tylor; Batra, Garima; Huang, Yaqing, 2026, "A Corpus of Artificial Intelligence Policies from US R1 Research Universities", https://doi.org/10.48349/ASU/VOYGW9, ASU Library Research Data Repository, V1, UNF:6:f3nmKdlJQZ3f7roPbZUNCw== [fileUNF]
This corpus contains official artificial intelligence (AI) policy documents issued by R1 universities across the United States. It includes guidelines on AI use in teaching and learning, academic integrity, research practices, data privacy, governance, and ethical considerations. The collection reflects how institutions are responding to generative...
Mar 18, 2026
Xiao, Xiao; Seekamp, Erin; Li, Peizhe, 2026, "Climate Adaptation Actions for Historic Structures at Cape Lookout National Seashore: Optimal Preservation Model Maps", https://doi.org/10.48349/ASU/5XXFLT, ASU Library Research Data Repository, V1
The dataset includes the outputs from the Optimal Preservation Model- A decision support tool of adaptation actions for historical structures in Cape Lookout National Seashore under the low budget scenario. The maps are 10-year outputs of adaptation actions applied to each historical structure in Portsmouth Village and Cape Lookout Village and stru...
Mar 13, 2026 - Kyl Center for Water Policy
Heminger, Grant; Sorensen, Kathryn; Porter, Sarah, 2026, "CAP Delivery Data by Use Category (1985-2024)", https://doi.org/10.48349/ASU/LJ5VVG, ASU Library Research Data Repository, V1, UNF:6:QUz3hm2p7EfSjTICusLRuw== [fileUNF]
A dataset part of the 40 Years of Central Arizona Project Water Use project which contains all Central Arizona Project water deliveries from 1985-2024 detailing the year, amount delivered, delivery location, recharge facility (if applicable) and use category. Can be used to analyze delivery trends by year, location, or use type.
Kyl Center for Water Policy(Arizona State University)
Mar 13, 2026
The Kyl Center for Water Policy at the Morrison Institute promotes research, analysis, collaboration and dialogue to build consensus on sound water stewardship for Arizona and the West.
Feb 17, 2026
Shahhosseini, Sarina; Tao, Junliang, 2026, "Replication Data for: Dynamics of a bio-inspired dual-auger burrowing robot in granular media", https://doi.org/10.48349/ASU/SQJC5O, ASU Library Research Data Repository, V1
Data associated with paper "Dynamics of a Bio-Inspired Dual-Auger Burrowing Robot in Granular Media: DEM-MBD Cosimulation with Complementary Kinematics-Controlled" This study investigates the dynamics of a bioinspired dual-auger burrowing robot in granular media using a discrete element method-multibody dynamics (DEM-MBD) cosimulation approach, com...
Feb 12, 2026 - Active Schools & Communities Lab at Arizona State University
Poulos, Allison; Wilson, Kylie, 2023, "Systematic Observation Tools for Physical Activity", https://doi.org/10.48349/ASU/HKIT4E, ASU Library Research Data Repository, V5, UNF:6:hvyWzx8DFKuMqdS6/N9aIw== [fileUNF]
These Excel files are management tools for data collected using the paper versions of the System for Observing Play and Leisure in Youth (SOPLAY), System for Observing Play and Active Recreation in Communities (SOPARC), and System for Observing Play and Leisure in Youth - Shade and Nature (SOPLAY-SN). The templates auto-calculate mean statistics fo...
Jan 22, 2026 - Arizona Department of Health Services Datasets
Division of Public Health Statistics, 2021, "Arizona Death Statistics", https://doi.org/10.48349/ASU/236AXE, ASU Library Research Data Repository, V4
Death data includes over 300 fields describing the decedent’s death event. The data set contains all information on the death certificate including demographics, date and time of death, cause and location of death. In addition, information about the decedent’s work, military status, education, and marital status if the decedent was an adult at the...
Jan 22, 2026 - Arizona Department of Health Services Datasets
Division of Public Health Statistics, 2021, "Arizona Birth Statistics", https://doi.org/10.48349/ASU/QWLFOQ, ASU Library Research Data Repository, V4
Arizona birth data sets include over 100 fields describing the birth event. Data for identifiable data set include birth attendants, facilities, providers, and parents’ information. Data about the child includes all demographics as well as details and measurements at the time of the birth and during delivery. Further data on the days following the...
Sep 19, 2025 - Multispecies Ovary Tissue Histology Electronic Repository (MOTHER)
Sluka, James P.; Zelinski, Mary B.; Watanabe, Karen H.; Dietrich, Suzanne W.; Riley Israels, 2025, "Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning", https://doi.org/10.48349/ASU/BOK3VO, ASU Library Research Data Repository, V1
Overview: The number and types of follicles present in the ovary are key indicators of the reproductive health and capacity in females. This data set contains annotated H&E histology images from Rhesus (n=14), Cynomolgus (n=3) and Japanese (n=1) macaque (monkey) ovaries. The follicle images span the 6 preantral stages of primate ovarian follicle de...
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