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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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171 to 180 of 12,719 Results
MOTHER_Macaque_Monkey_Preantral_Follicles.zip.004
Sep 19, 2025 - Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning
Unknown - 20.0 GB - MD5: 4fa94d5043be44facca62cad25ac7b70
Data
The complete data set, “MOTHER_Macaque_Monkey_Preantral_Follicles.zip.00N”: This is part of a multi-Zip archive with 6 parts. Most Zip software packages will automatically unzip all six files if you unzip the first file, "MOTHER_Macaque_Monkey_Preantral_Follicles.zip.001”. It will take ~2 hours to download this file using a stable high-speed netwo...
MOTHER_Macaque_Monkey_Preantral_Follicles.zip.005
Sep 19, 2025 - Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning
Unknown - 20.0 GB - MD5: c2dff764165c7637ad9dd15275f0e039
Data
The complete data set, “MOTHER_Macaque_Monkey_Preantral_Follicles.zip.00N”: This is part of a multi-Zip archive with 6 parts. Most Zip software packages will automatically unzip all six files if you unzip the first file, "MOTHER_Macaque_Monkey_Preantral_Follicles.zip.001”. It will take ~2 hours to download this file using a stable high-speed netwo...
MOTHER_Macaque_Monkey_Preantral_Follicles.zip.006
Sep 19, 2025 - Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning
Unknown - 19.3 GB - MD5: eb2482a30be69e73cc5a8abb65fe429e
Data
The complete data set, “MOTHER_Macaque_Monkey_Preantral_Follicles.zip.00N”: This is part of a multi-Zip archive with 6 parts. Most Zip software packages will automatically unzip all six files if you unzip the first file, "MOTHER_Macaque_Monkey_Preantral_Follicles.zip.001”. It will take ~2 hours to download this file using a stable high-speed netwo...
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....
2024 school recess and heat
Aug 29, 2025 - Active Schools & Communities Lab at Arizona State University
Poulos, Allison, 2025, "2024 school recess and heat", https://doi.org/10.48349/ASU/WDBBII, ASU Library Research Data Repository, V2, UNF:6:znHi0/igZ847Yv69it2d7g== [fileUNF]
This dataset includes de-identified information about (1) average physical activity intensities of children in various spaces in schoolyards as well as mean radiant temperature conditions in those spaces and (2) children's emotional state across five schools in Phoenix.
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.csv
Aug 29, 2025 - 2024 school recess and heat
Tabular Data - 64.4 KB - 17 Variables, 1006 Observations - UNF:6:kQVtSKvT9VyOc3mlegFlLA==
Data
COVID Future Wave 1 Survey Data v0.9.0
Aug 19, 2025 - COVID Future Survey
Salon, Deborah; Bhagat-Conway, Matthew Wigginton; da Silva Baker, Denise; Chauhan, Rishabh; Shamshiripour, Ali; Rahimi, Ehsan; Mirtich, Laura; Khoeini, Sara; Mohammadian, Kouros; Derrible, Sybil; Pendyala, Ram, 2025, "COVID Future Wave 1 Survey Data v0.9.0", https://doi.org/10.48349/ASU/HQYADA, ASU Library Research Data Repository, V1, UNF:6:LEiDGO8iNC3a/lA3/AlIcQ== [fileUNF]
COVID-19 and the Future Study data, version 0.9.0, generated December 1, 2020. This version of the data has 8,723 responses. The survey was done in two parts, an initial unfunded sample collected by Arizona State University (ASU), referred to as Wave 1A, and a later nationally-representative sample collected by ASU and the University of Illinois at...
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.csv
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
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