Metrics
75,594 Downloads
Contact Share

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

101 to 110 of 12,595 Results
MOTHER_TrainingData_HistoSlides_AnnotTables_20250812.zip
Sep 19, 2025 - Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning
ZIP Archive - 3.8 GB - MD5: 7aab889d012236ce68aedc2120973b17
Data
This zip file contains paired images and follicle annotation files exported from QuPath. For example, the image file “14736_UN_050a.ome.tif” should be used with the annotations file “14736_UN_050a.annotations.txt”. Format of the histology slide files. All images in this dataset have a resolution of 0.69 micrometer/pixel and are in ome.tif format....
README_FileNamingConventions.pdf
Sep 19, 2025 - Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning
Adobe PDF - 81.7 KB - MD5: addb9aa71a12dc93a02743cbccc55761
Documentation
Description of the subimage, augmentations, and file naming conventions
README_SOPLAY_MaRTy_Emotions_20250623.txt
Aug 29, 2025 - 2024 school recess and heat
Plain Text - 7.4 KB - MD5: 9ed528180ce5745ad6400814ca086274
Documentation
Repository_Survey_Data.tab
Aug 29, 2025 - 2024 school recess and heat
Tabular Data - 64.4 KB - 17 Variables, 1006 Observations - UNF:6:kQVtSKvT9VyOc3mlegFlLA==
Data
codebook_public_v0.9.0.pdf
Aug 19, 2025 - COVID Future Wave 1 Survey Data v0.9.0
Adobe PDF - 597.0 KB - MD5: 0542bd502e9ce21087615081c3003509
covid_pooled_public_0.9.0-csv.tab
Aug 19, 2025 - COVID Future Wave 1 Survey Data v0.9.0
Tabular Data - 150.5 MB - 656 Variables, 8723 Observations - UNF:6:21n7kH6mZnc2zjG+HU+0wQ==
Comma separated value file
covid_pooled_public_0.9.0_labels.tab
Aug 19, 2025 - COVID Future Wave 1 Survey Data v0.9.0
Tabular Data - 96.8 KB - 2 Variables, 656 Observations - UNF:6:MyikOjPE7CyV1Nc/XjXMgA==
Variable labels
covid_pooled_public_0.9.0.parquet
Aug 19, 2025 - COVID Future Wave 1 Survey Data v0.9.0
Unknown - 1.8 MB - MD5: 4a7c6c2480d3f5b696f156d1cdbf4a50
covid_pooled_public_0.9.0.tab
Aug 19, 2025 - COVID Future Wave 1 Survey Data v0.9.0
Tabular Data - 12.7 MB - 656 Variables, 8723 Observations - UNF:6:M8iOmSdwAtETxHBJBgOiog==
Stata file
LICENSE.txt
Aug 19, 2025 - COVID Future Wave 1 Survey Data v0.9.0
Plain Text - 19.5 KB - MD5: 9dd6529fc4138a7799bb7c0aac21d9ab
Add Data

Log in to create a dataverse or add a dataset.

Log In
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.