ASU Library Research Data Repository

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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.

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

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1 to 10 of 129 Results

Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning Aug 4, 2026 - Multispecies Ovary Tissue Histology Electronic Repository (MOTHER) Sluka, James P.; Israels, Riley; Zelinski, Mary B.; Dietrich, Suzanne W.; Watanabe, Karen H., 2025, "Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning", https://doi.org/10.48349/ASU/BOK3VO, ASU Library Research Data Repository, V2 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...
Replication Data for: The evolution of knockdown resistance: Genotypic and phenotypic insights into Aedes aegypti insecticide resistance Aug 4, 2026 Jensen, Brook M.; Estep, Alden S.; Huijben, Silvie, 2026, "Replication Data for: The evolution of knockdown resistance: Genotypic and phenotypic insights into Aedes aegypti insecticide resistance", https://doi.org/10.48349/ASU/NEQQOC, ASU Library Research Data Repository, V1, UNF:6:CqZhZv8WoR10lIQNaQ79cg== [fileUNF] This research investigated knock-down resistance (kdr) mutations V410L, V1016I, and F1534C in Aedes aegypti mosquitoes to address crucial gaps in understanding insecticide resistance evolution and management. Six common kdr genotypes were obtained through genetic crosses of three unique parental strains from the same location in Florida, USA. Throu...
Replication Data for: Ten years of research on the sound quality of cochlear implants Jul 10, 2026 - Michael Dorman Research Data Collection Dorman, Michael; Stohl, Joshua, 2026, "Replication Data for: Ten years of research on the sound quality of cochlear implants", https://doi.org/10.48349/ASU/OTWNHK, ASU Library Research Data Repository, V1 The purpose of the data set is to supplement the text in the article "Ten years of research on the sound quality of cochlear implants." The audio and video files document the procedures used in our laboratory to match the sound quality of cochlear implants.
Replication Data for: Spontaneous oxycodone withdrawal alters behavior and oligodendrocyte-related gene expression in mice Jul 10, 2026 - SOCIAL Neurobiology Lab Law, Olivia; Gewirtz, Jonathan; Verpeut, Jessica, 2026, "Replication Data for: Spontaneous oxycodone withdrawal alters behavior and oligodendrocyte-related gene expression in mice", https://doi.org/10.48349/ASU/P6DDJN, ASU Library Research Data Repository, V1 Replication Data for: Spontaneous oxycodone withdrawal alters behavior and oligodendrocyte-related gene expression in mice. This dataset includes spreadsheets of raw values for each measure in Excel sheets. The dataset also includes code used for analysis and visualization.
Replication Data for: Elucidating the role of cerebellar nuclei parvalbumin activity on adolescent reversal learning Jun 15, 2026 - SOCIAL Neurobiology Lab Lyle, Tristan; Berkley, Aaron; Verpeut, Jessica, 2026, "Replication Data for: Elucidating the role of cerebellar nuclei parvalbumin activity on adolescent reversal learning", https://doi.org/10.48349/ASU/KKWFWE, ASU Library Research Data Repository, V1 Replication Data for: Elucidating the role of cerebellar nuclei parvalbumin activity on adolescent reversal learning. This dataset supports the project on elucidating the role of cerebellar nuclei parvalbumin activity on adolescent reversal learning and contains a spreadsheet of raw values and statistical analysis. Contains Excel files and R code....
Replication Data for: State and federal policies and school meal participation: A descriptive analysis from Arizona 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...
A Corpus of Artificial Intelligence Policies from US R1 Research Universities 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...
Climate Adaptation Actions for Historic Structures at Cape Lookout National Seashore: Optimal Preservation Model Maps 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...
CAP Delivery Data by Use Category (1985-2024) 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.

Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning

Aug 4, 2026 - Multispecies Ovary Tissue Histology Electronic Repository (MOTHER)

Sluka, James P.; Israels, Riley; Zelinski, Mary B.; Dietrich, Suzanne W.; Watanabe, Karen H., 2025, "Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning", https://doi.org/10.48349/ASU/BOK3VO, ASU Library Research Data Repository, V2

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...

Replication Data for: The evolution of knockdown resistance: Genotypic and phenotypic insights into Aedes aegypti insecticide resistance

Aug 4, 2026

Jensen, Brook M.; Estep, Alden S.; Huijben, Silvie, 2026, "Replication Data for: The evolution of knockdown resistance: Genotypic and phenotypic insights into Aedes aegypti insecticide resistance", https://doi.org/10.48349/ASU/NEQQOC, ASU Library Research Data Repository, V1, UNF:6:CqZhZv8WoR10lIQNaQ79cg== [fileUNF]

This research investigated knock-down resistance (kdr) mutations V410L, V1016I, and F1534C in Aedes aegypti mosquitoes to address crucial gaps in understanding insecticide resistance evolution and management. Six common kdr genotypes were obtained through genetic crosses of three unique parental strains from the same location in Florida, USA. Throu...

Replication Data for: Ten years of research on the sound quality of cochlear implants

Jul 10, 2026 - Michael Dorman Research Data Collection

Dorman, Michael; Stohl, Joshua, 2026, "Replication Data for: Ten years of research on the sound quality of cochlear implants", https://doi.org/10.48349/ASU/OTWNHK, ASU Library Research Data Repository, V1

The purpose of the data set is to supplement the text in the article "Ten years of research on the sound quality of cochlear implants." The audio and video files document the procedures used in our laboratory to match the sound quality of cochlear implants.

Replication Data for: Spontaneous oxycodone withdrawal alters behavior and oligodendrocyte-related gene expression in mice

Jul 10, 2026 - SOCIAL Neurobiology Lab

Law, Olivia; Gewirtz, Jonathan; Verpeut, Jessica, 2026, "Replication Data for: Spontaneous oxycodone withdrawal alters behavior and oligodendrocyte-related gene expression in mice", https://doi.org/10.48349/ASU/P6DDJN, ASU Library Research Data Repository, V1

Replication Data for: Spontaneous oxycodone withdrawal alters behavior and oligodendrocyte-related gene expression in mice. This dataset includes spreadsheets of raw values for each measure in Excel sheets. The dataset also includes code used for analysis and visualization.

Replication Data for: Elucidating the role of cerebellar nuclei parvalbumin activity on adolescent reversal learning

Jun 15, 2026 - SOCIAL Neurobiology Lab

Lyle, Tristan; Berkley, Aaron; Verpeut, Jessica, 2026, "Replication Data for: Elucidating the role of cerebellar nuclei parvalbumin activity on adolescent reversal learning", https://doi.org/10.48349/ASU/KKWFWE, ASU Library Research Data Repository, V1

Replication Data for: Elucidating the role of cerebellar nuclei parvalbumin activity on adolescent reversal learning. This dataset supports the project on elucidating the role of cerebellar nuclei parvalbumin activity on adolescent reversal learning and contains a spreadsheet of raw values and statistical analysis. Contains Excel files and R code....

Replication Data for: State and federal policies and school meal participation: A descriptive analysis from Arizona

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...

A Corpus of Artificial Intelligence Policies from US R1 Research Universities

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...

Climate Adaptation Actions for Historic Structures at Cape Lookout National Seashore: Optimal Preservation Model Maps

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...

CAP Delivery Data by Use Category (1985-2024)

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.

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