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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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61 to 70 of 104 Results
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...
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...
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...
Sep 1, 2022 - Multispecies Ovary Tissue Histology Electronic Repository (MOTHER)
Multispecies Ovary Tissue Histology Electronic Repository (MOTHER), 2022, "Zelinski Lab: Cynomolgus Macaque Ovary", https://doi.org/10.48349/ASU/BUAU3E, ASU Library Research Data Repository, V1
Dataset for histology images from the ovaries of Cynomolgus macaque (Macaca fascicularis). 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 fa...
Aug 31, 2022 - United States Regional Climate Change Assessment
Georgescu, Matei; Brandi, Aldo; Broadbent, Ashley; Krayenhoff, Scott, 2021, "2090-2099 Projected Climates and Urban Development Scenarios - Conterminous U.S. (CONUS) Simulation Data", https://doi.org/10.48349/ASU/3TYXZI, ASU Library Research Data Repository, V3
Simulations representing different climate change, urban development and heat adaptation strategies scenarios for the future Conterminous United States. Refer to CONUS_Sims_README.txt for additional documentation.
Aug 16, 2022
Dolby, Greer A.; Araya-Donoso, Raúl; Baty, Sarah M.; Alonso-Alonso, Pedro; José Sanín, María; T. Wilder, Benjamin; Munguía-Vega, Adrián, 2021, "Replication Data for: Implications of barrier ephemerality in geogenomic research", https://doi.org/10.48349/ASU/IKNUHC, ASU Library Research Data Repository, V2
Spatially explicit population genomic data in genalex format, generated by CDMetaPop simulations. Scripts for R, SLiM and CDMetaPop used to run and calculate statistics in the genetic simulations.
Aug 10, 2022 - Multispecies Ovary Tissue Histology Electronic Repository (MOTHER)
Multispecies Ovary Tissue Histology Electronic Repository (MOTHER), 2022, "Zelinski Lab: Japanese Macaque Ovary", https://doi.org/10.48349/ASU/KM2QZQ, ASU Library Research Data Repository, V1
Dataset for histology images from the ovaries of Japanese macaque (Macaca fuscata). 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...
Jun 20, 2022 - ASU Library Unit for Data Science
Little, David, 2022, "Microplastics Images dataset", https://doi.org/10.48349/ASU/ZCEM6W, ASU Library Research Data Repository, V1
This dataset is a collection of images of microplastics. Microplastics are small fragments of plastic (<5mm) that potentially have a negative impact on our health and the environment. Suggested dataset uses are for image classification, image segmentation, or any other image processing tasks. ZIP file contains color images. Size: 34.1 MB Type: JPEG
Jun 20, 2022 - ASU Library Unit for Data Science
Little, David, 2022, "WallStreetBets Subreddit dataset", https://doi.org/10.48349/ASU/WLV8JA, ASU Library Research Data Repository, V1, UNF:6:9xDozy1E0i7ZAlZqh9EXEQ== [fileUNF]
This dataset is an extract of the subreddit /s/wallstreetbets from the website Reddit.com. It contains all of the non-deleted posts from all of January and February 2021. Suggested uses for this dataset is great for all types of natural language processing (NLP).
Jun 20, 2022 - ASU Library Unit for Data Science
Little, David, 2022, "Homeless Management Information System (HMIS) Usage", https://doi.org/10.48349/ASU/NJOZNU, ASU Library Research Data Repository, V1, UNF:6:lVgMtOHGB4/ktKdlxSzdyA== [fileUNF]
This dataset is derived from the Homeless Management Information System (HMIS), which is a government-run database to collect client-level data on housing and services to homeless individuals and families. This particular dataset counts the number of times each homeless individual (rows) attends each of the different services/projects (columns) ava...
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