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.

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101 to 110 of 12,694 Results

Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning Sep 19, 2025 - Multispecies Ovary Tissue Histology Electronic Repository (MOTHER) Sluka, James P.; Zelinski, Mary B.; Watanabe, Karen H.; Dietrich, Suzanne W.; Riley Israels, 2025, "Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning", https://doi.org/10.48349/ASU/BOK3VO, ASU Library Research Data Repository, V1 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...
MOTHER_Macaque_Monkey_Preantral_Follicles_NoNegatives_NoAugmentations.zip Sep 19, 2025 - Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning ZIP Archive - 611.0 MB - MD5: 38c33077190b8d91b6d7d00d26eefd7e Data Smallest data set that omits the Negatives and Augmentations, “MOTHER_Macaque_Monkey_Preantral_Follicles_NoNegatives_NoAugmentations.zip”. This data set omits the “Negatives” and all augmentation images and only contains the sub-images of annotated follicles. The zip file contains ~7,700 images, one for each of our expert-annotated follicles. The...
MOTHER_Macaque_Monkey_Preantral_Follicles_NoNegatives.zip Sep 19, 2025 - Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning ZIP Archive - 26.4 GB - MD5: c9dc2268e8adfc9c1c79786d9fc52784 Data This data set omits the “Negative” images and only contains the sub-images of annotated follicles and their augmentations. The zip file contains ~370K images based on ~7,700 annotated follicles and is about 20% as large as the complete data set described above.
MOTHER_Macaque_Monkey_Preantral_Follicles.zip.001 Sep 19, 2025 - Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning Unknown - 20.0 GB - MD5: ce458776d561f8d7b6afa993715e0248 Data The complete data set, “MOTHER_Macaque_Monkey_Preantral_Follicles_00N.zip”: 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_001.zip”. It will take ~2 hours to download this file using a stable high-speed netwo...
MOTHER_Macaque_Monkey_Preantral_Follicles.zip.002 Sep 19, 2025 - Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning Unknown - 20.0 GB - MD5: 58b6f10ea26c78b9372dec4a249f758c 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.003 Sep 19, 2025 - Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning Unknown - 20.0 GB - MD5: bd80bc97c35957fed4a7798b6714a571 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.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....

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

Sep 19, 2025 - Multispecies Ovary Tissue Histology Electronic Repository (MOTHER)

Sluka, James P.; Zelinski, Mary B.; Watanabe, Karen H.; Dietrich, Suzanne W.; Riley Israels, 2025, "Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning", https://doi.org/10.48349/ASU/BOK3VO, ASU Library Research Data Repository, V1

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...

MOTHER_Macaque_Monkey_Preantral_Follicles_NoNegatives_NoAugmentations.zip

Sep 19, 2025 - Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning

ZIP Archive - 611.0 MB -

Data

Smallest data set that omits the Negatives and Augmentations, “MOTHER_Macaque_Monkey_Preantral_Follicles_NoNegatives_NoAugmentations.zip”. This data set omits the “Negatives” and all augmentation images and only contains the sub-images of annotated follicles. The zip file contains ~7,700 images, one for each of our expert-annotated follicles. The...

MOTHER_Macaque_Monkey_Preantral_Follicles_NoNegatives.zip

Sep 19, 2025 - Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning

ZIP Archive - 26.4 GB -

Data

This data set omits the “Negative” images and only contains the sub-images of annotated follicles and their augmentations. The zip file contains ~370K images based on ~7,700 annotated follicles and is about 20% as large as the complete data set described above.

MOTHER_Macaque_Monkey_Preantral_Follicles.zip.001

Sep 19, 2025 - Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning

Unknown - 20.0 GB -

Data

The complete data set, “MOTHER_Macaque_Monkey_Preantral_Follicles_00N.zip”: 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_001.zip”. It will take ~2 hours to download this file using a stable high-speed netwo...

MOTHER_Macaque_Monkey_Preantral_Follicles.zip.002

Sep 19, 2025 - Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning

Unknown - 20.0 GB -

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.003

Sep 19, 2025 - Replication Data for: Follicle Identification in Primate Ovaries via Machine Learning

Unknown - 20.0 GB -

Data

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 -

Data

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 -

Data

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 -

Data

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 -

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....

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