ASU Library Research Data Repository

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.

61 to 70 of 125 Results

Michael Dorman Research Data Collection(Arizona State University) Apr 19, 2023 Collected research datasets of Michael Dorman, Professor Emeritus in the College of Health Solutions. Professor Dorman directs the Cochlear Implant Research Laboratory. His group investigates many aspects of speech, voice, and music perception by patients fit with cochlear implants and by normal-hearing subjects listening to simulations of cochlear...
Active Schools & Communities Lab at Arizona State University(Arizona State University) Mar 14, 2023 The Active Schools & Communities Lab works to improve access and opportunities for physical activity, with a focus on school settings. This collection includes tools and datasets generated from affiliated research projects. Associated scholarly works and presentations can also be found within the ASU Digital Repository collection.
Artificial Social Intelligence for Successful Teams (ASIST) Study 3 Jan 3, 2023 - Artificial Social Intelligence for Successful Teams (ASIST) Lixiao Huang; Jared Freeman; Nancy Cooke; John “JCR” Colonna-Romano; Matt Wood; Verica Buchanan; Stephen Caufman, 2022, "Artificial Social Intelligence for Successful Teams (ASIST) Study 3", https://doi.org/10.48349/ASU/QDQ4MH, ASU Library Research Data Repository, V3, UNF:6:M0oVzTeD5aBRBm/AbSdJ/g== [fileUNF] The ASIST Study-3 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 withold) advice to team members that improve team state (e.g., motivation), process (e.g., synchronization), and mission effects (e.g...
Parler and the Road to the Capitol Attack: Parler Influencer Dataset Dec 2, 2022 - School of Complex Adaptive Systems Research Datasets Rondeaux, Candace; Dalton, Ben; Troy, David; Walker, Shawn; Tayler, Tom; Simeone, Michael, 2022, "Parler and the Road to the Capitol Attack: Parler Influencer Dataset", https://doi.org/10.48349/ASU/6WN9SK, ASU Library Research Data Repository, V1 This dataset consists of publicly available Parler posts of prominent and prolific Parler users, selected for their influence on the platform as determined by either their close ties to the Trump White House or President Trump’s presidential campaign, or links to militia groups such as the Proud Boys, Oath Keepers, and Three-Percenters. This specia...
School of Complex Adaptive Systems Research Datasets(Arizona State University) Dec 1, 2022 This collection presents research datasets from The School of Complex Adaptive Systems, a foundational institution within the College of Global Futures, ASU’s center of experiential learning, engaged research, and real-world problem-solving dedicated to the present and future well-being of our planet. The school focuses on complex systems science a...
Replication Data for: In situ Raman Spectroscopy of Microwave Synthesis of Inorganic Compounds Oct 14, 2022 - Birkel group - School of Molecular Sciences Jamboretz, John; Birkel, Christina, 2022, "Replication Data for: In situ Raman Spectroscopy of Microwave Synthesis of Inorganic Compounds", https://doi.org/10.48349/ASU/SCXUIW, ASU Library Research Data Repository, V2, UNF:6:ZIgINeG56JeEGPZucA8zmw== [fileUNF] TiO2 anatase to rutile proof-of-concept study In situ Raman spectroscopic data for the observation of a phase change in TiO2 (titania) from anatase to rutile. These data sets are the results of a proof-of-concept study for a custom Raman instrument which was built for the purpose of observing inorganic transformation under microwave heating and at...
Zelinski Lab: Rhesus Macaque Ovary Sep 30, 2022 - Multispecies Ovary Tissue Histology Electronic Repository (MOTHER) Multispecies Ovary Tissue Histology Electronic Repository (MOTHER), 2022, "Zelinski Lab: Rhesus Macaque Ovary", https://doi.org/10.48349/ASU/46JWEX, ASU Library Research Data Repository, V1 Dataset for histology images from the ovaries of Rhesus macaque (Macaca mulatta). These images are associated with the Multispecies Ovary Tissue Histology Electronic Repository (MOTHER), an online repository (https://mother-db.org) of ovary tissue histology digital images, funded by NSF (DBI-2054061). Sharing these histology images will facilitate...
Birkel group - School of Molecular Sciences(Arizona State University) Sep 20, 2022 The Birkel group works on the interface of solid state chemistry and materials science focusing on the synthesis, structure, and properties of inorganic compounds. Birkel group members are experts in a large variety of preparation techniques ranging from room-temperature to high-temperature as well as classical to non-conventional methods. This all...
Computational manikin for radiation simulation (male and female models covering 1-99% BMI and height diversity in US) Sep 2, 2022 - Physical and Computational Thermal Manikins Rykaczewski, Konrad; Bartels, Lyle; Martinez, Daniel M.; Viswanathan, Shri H., 2022, "Computational manikin for radiation simulation (male and female models covering 1-99% BMI and height diversity in US)", https://doi.org/10.48349/ASU/ZCLKT6, ASU Library Research Data Repository, V1 3D meshes of adults in the United States covering 1 to 99 percentile variation in body mass index and height. Based on manikins generated from The National Health and Nutrition Examination Survey (NHANES) using the Manikin Fetcher tool from Open Design Lab. All manikins have simplified "mitten-finger" hands with effective radiation areas correspond...
Physical and Computational Thermal Manikins(Arizona State University) Sep 2, 2022 Rykaczewski Lab Project. Extreme heat is an invisible and deadly disaster with wide-ranging adverse effects on people’s health and well-being. It is increasing in frequency and severity, and its impacts are felt disproportionately by vulnerable populations. Yet, there is a minimal understanding of how body temperatures are elevated in extreme heat...

Michael Dorman Research Data Collection(Arizona State University)

Apr 19, 2023

Collected research datasets of Michael Dorman, Professor Emeritus in the College of Health Solutions. Professor Dorman directs the Cochlear Implant Research Laboratory. His group investigates many aspects of speech, voice, and music perception by patients fit with cochlear implants and by normal-hearing subjects listening to simulations of cochlear...

Active Schools & Communities Lab at Arizona State University(Arizona State University)

Mar 14, 2023

The Active Schools & Communities Lab works to improve access and opportunities for physical activity, with a focus on school settings. This collection includes tools and datasets generated from affiliated research projects. Associated scholarly works and presentations can also be found within the ASU Digital Repository collection.

Artificial Social Intelligence for Successful Teams (ASIST) Study 3

Jan 3, 2023 - Artificial Social Intelligence for Successful Teams (ASIST)

Lixiao Huang; Jared Freeman; Nancy Cooke; John “JCR” Colonna-Romano; Matt Wood; Verica Buchanan; Stephen Caufman, 2022, "Artificial Social Intelligence for Successful Teams (ASIST) Study 3", https://doi.org/10.48349/ASU/QDQ4MH, ASU Library Research Data Repository, V3, UNF:6:M0oVzTeD5aBRBm/AbSdJ/g== [fileUNF]

The ASIST Study-3 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 withold) advice to team members that improve team state (e.g., motivation), process (e.g., synchronization), and mission effects (e.g...

Parler and the Road to the Capitol Attack: Parler Influencer Dataset

Dec 2, 2022 - School of Complex Adaptive Systems Research Datasets

Rondeaux, Candace; Dalton, Ben; Troy, David; Walker, Shawn; Tayler, Tom; Simeone, Michael, 2022, "Parler and the Road to the Capitol Attack: Parler Influencer Dataset", https://doi.org/10.48349/ASU/6WN9SK, ASU Library Research Data Repository, V1

This dataset consists of publicly available Parler posts of prominent and prolific Parler users, selected for their influence on the platform as determined by either their close ties to the Trump White House or President Trump’s presidential campaign, or links to militia groups such as the Proud Boys, Oath Keepers, and Three-Percenters. This specia...

School of Complex Adaptive Systems Research Datasets(Arizona State University)

Dec 1, 2022

This collection presents research datasets from The School of Complex Adaptive Systems, a foundational institution within the College of Global Futures, ASU’s center of experiential learning, engaged research, and real-world problem-solving dedicated to the present and future well-being of our planet. The school focuses on complex systems science a...

Replication Data for: In situ Raman Spectroscopy of Microwave Synthesis of Inorganic Compounds

Oct 14, 2022 - Birkel group - School of Molecular Sciences

Jamboretz, John; Birkel, Christina, 2022, "Replication Data for: In situ Raman Spectroscopy of Microwave Synthesis of Inorganic Compounds", https://doi.org/10.48349/ASU/SCXUIW, ASU Library Research Data Repository, V2, UNF:6:ZIgINeG56JeEGPZucA8zmw== [fileUNF]

TiO2 anatase to rutile proof-of-concept study In situ Raman spectroscopic data for the observation of a phase change in TiO2 (titania) from anatase to rutile. These data sets are the results of a proof-of-concept study for a custom Raman instrument which was built for the purpose of observing inorganic transformation under microwave heating and at...

Zelinski Lab: Rhesus Macaque Ovary

Sep 30, 2022 - Multispecies Ovary Tissue Histology Electronic Repository (MOTHER)

Multispecies Ovary Tissue Histology Electronic Repository (MOTHER), 2022, "Zelinski Lab: Rhesus Macaque Ovary", https://doi.org/10.48349/ASU/46JWEX, ASU Library Research Data Repository, V1

Dataset for histology images from the ovaries of Rhesus macaque (Macaca mulatta). These images are associated with the Multispecies Ovary Tissue Histology Electronic Repository (MOTHER), an online repository (https://mother-db.org) of ovary tissue histology digital images, funded by NSF (DBI-2054061). Sharing these histology images will facilitate...

Birkel group - School of Molecular Sciences(Arizona State University)

Sep 20, 2022

The Birkel group works on the interface of solid state chemistry and materials science focusing on the synthesis, structure, and properties of inorganic compounds. Birkel group members are experts in a large variety of preparation techniques ranging from room-temperature to high-temperature as well as classical to non-conventional methods. This all...

Computational manikin for radiation simulation (male and female models covering 1-99% BMI and height diversity in US)

Sep 2, 2022 - Physical and Computational Thermal Manikins

Rykaczewski, Konrad; Bartels, Lyle; Martinez, Daniel M.; Viswanathan, Shri H., 2022, "Computational manikin for radiation simulation (male and female models covering 1-99% BMI and height diversity in US)", https://doi.org/10.48349/ASU/ZCLKT6, ASU Library Research Data Repository, V1

3D meshes of adults in the United States covering 1 to 99 percentile variation in body mass index and height. Based on manikins generated from The National Health and Nutrition Examination Survey (NHANES) using the Manikin Fetcher tool from Open Design Lab. All manikins have simplified "mitten-finger" hands with effective radiation areas correspond...

Physical and Computational Thermal Manikins(Arizona State University)

Sep 2, 2022

Rykaczewski Lab Project. Extreme heat is an invisible and deadly disaster with wide-ranging adverse effects on people’s health and well-being. It is increasing in frequency and severity, and its impacts are felt disproportionately by vulnerable populations. Yet, there is a minimal understanding of how body temperatures are elevated in extreme heat...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications