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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61 to 70 of 99 Results

Replication Data for: Implications of barrier ephemerality in geogenomic research 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.
Zelinski Lab: Japanese Macaque Ovary 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...
Microplastics Images dataset 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
WallStreetBets Subreddit dataset 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).
Homeless Management Information System (HMIS) Usage 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...
Artificial Social Intelligence for Successful Teams (ASIST) Study 2 May 26, 2022 - Artificial Social Intelligence for Successful Teams (ASIST) Lixiao Huang; Jared Freeman; Nancy Cooke; Samantha Dubrow; John “JCR” Colonna-Romano; Matt Wood; Verica Buchanan; Stephen Caufman; Xiaoyun Yin, 2022, "Artificial Social Intelligence for Successful Teams (ASIST) Study 2", https://doi.org/10.48349/ASU/BZUZDE, ASU Library Research Data Repository, V4, UNF:6:OJ3XctVE31iBZs09zhPpFQ== [fileUNF] The ASIST Study-2 dataset was developed in a human subjects research study designed to assess the capability of artificial intelligence to infer the state and predict the actions of members of a three-person team executing an urban search and rescue task in Minecraft. The data were developed under Contract No. HR001119C0130 to the Defense Advanced...
COVID Future Wave 1 Survey Data v1.1.0 May 13, 2022 - 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, 2022, "COVID Future Wave 1 Survey Data v1.1.0", https://doi.org/10.48349/ASU/TM7DGM, ASU Library Research Data Repository, V1, UNF:6:E8fS9TOnRnxFl3V2TaS5kQ== [fileUNF] This dataset is the product of the first wave of a nationwide longitudinal survey collecting information about travel-related behaviors and attitudes before, during, and after the COVID-19 pandemic. The survey questions cover a wide range of topics including commuting, daily travel, air travel, working from home, online learning, shopping, and risk...
COVID Future Wave 3 Survey Data v1.1.0 May 13, 2022 - COVID Future Survey Salon, Deborah; Bhagat-Conway, Matthew Wigginton; Chauhan, Rishabh; Magassy, Tassio; Mirtich, Laura; Rahimi, Ehsan; Costello, Adam; Derrible, Sybil; Mohammadian, Kouros; Pendyala, Ram, 2022, "COVID Future Wave 3 Survey Data v1.1.0", https://doi.org/10.48349/ASU/9O5TIA, ASU Library Research Data Repository, V1, UNF:6:UhN3OzG510Ex3Gsp5qBvMg== [fileUNF] This dataset is the product of the third wave of a nationwide longitudinal survey collecting information about travel-related behaviors and attitudes before, during, and after the COVID-19 pandemic. The survey questions cover a wide range of topics including commuting, daily travel, air travel, working from home, online learning, shopping, and risk...
COVID Future Wave 2 Survey Data v1.1.0 May 13, 2022 - COVID Future Survey Salon, Deborah; Bhagat-Conway, Matthew Wigginton; da Silva Baker, Denise; Chauhan, Rishabh; Mirtich, Laura; Rahimi, Ehsan; Magassy, Tassio; Derrible, Sybil; Mohammadian, Kouros; Pendyala, Ram, 2022, "COVID Future Wave 2 Survey Data v1.1.0", https://doi.org/10.48349/ASU/OYUE7S, ASU Library Research Data Repository, V1, UNF:6:n2icATojhLhqFzVSSANXMg== [fileUNF] This dataset is the product of the second wave of a nationwide longitudinal survey collecting information about travel-related behaviors and attitudes before, during, and after the COVID-19 pandemic. The survey questions cover a wide range of topics including commuting, daily travel, air travel, working from home, online learning, shopping, and ris...
Replication data for: Uncovering temporospatial sensitive TBI targeting strategies via in vivo phage display Apr 27, 2022 Martinez, Briana; Stabenfeldt, Sarah, 2022, "Replication data for: Uncovering temporospatial sensitive TBI targeting strategies via in vivo phage display", https://doi.org/10.48349/ASU/ZTW1HN, ASU Library Research Data Repository, V1, UNF:6:sK235WMT38kbmxmkRU4w0g== [fileUNF] The heterogeneous pathophysiology of traumatic brain injury (TBI) is a barrier to advancing diagnostics and therapeutics, including targeted drug delivery. We employed a unique discovery pipeline to identify novel targeting motifs that recognize specific temporal phases of TBI pathology. This pipeline combined in vivo biopanning with domain antibod...

Replication Data for: Implications of barrier ephemerality in geogenomic research

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.

Zelinski Lab: Japanese Macaque Ovary

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...

Microplastics Images dataset

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

WallStreetBets Subreddit dataset

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).

Homeless Management Information System (HMIS) Usage

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...

Artificial Social Intelligence for Successful Teams (ASIST) Study 2

May 26, 2022 - Artificial Social Intelligence for Successful Teams (ASIST)

Lixiao Huang; Jared Freeman; Nancy Cooke; Samantha Dubrow; John “JCR” Colonna-Romano; Matt Wood; Verica Buchanan; Stephen Caufman; Xiaoyun Yin, 2022, "Artificial Social Intelligence for Successful Teams (ASIST) Study 2", https://doi.org/10.48349/ASU/BZUZDE, ASU Library Research Data Repository, V4, UNF:6:OJ3XctVE31iBZs09zhPpFQ== [fileUNF]

The ASIST Study-2 dataset was developed in a human subjects research study designed to assess the capability of artificial intelligence to infer the state and predict the actions of members of a three-person team executing an urban search and rescue task in Minecraft. The data were developed under Contract No. HR001119C0130 to the Defense Advanced...

COVID Future Wave 1 Survey Data v1.1.0

May 13, 2022 - 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, 2022, "COVID Future Wave 1 Survey Data v1.1.0", https://doi.org/10.48349/ASU/TM7DGM, ASU Library Research Data Repository, V1, UNF:6:E8fS9TOnRnxFl3V2TaS5kQ== [fileUNF]

This dataset is the product of the first wave of a nationwide longitudinal survey collecting information about travel-related behaviors and attitudes before, during, and after the COVID-19 pandemic. The survey questions cover a wide range of topics including commuting, daily travel, air travel, working from home, online learning, shopping, and risk...

COVID Future Wave 3 Survey Data v1.1.0

May 13, 2022 - COVID Future Survey

Salon, Deborah; Bhagat-Conway, Matthew Wigginton; Chauhan, Rishabh; Magassy, Tassio; Mirtich, Laura; Rahimi, Ehsan; Costello, Adam; Derrible, Sybil; Mohammadian, Kouros; Pendyala, Ram, 2022, "COVID Future Wave 3 Survey Data v1.1.0", https://doi.org/10.48349/ASU/9O5TIA, ASU Library Research Data Repository, V1, UNF:6:UhN3OzG510Ex3Gsp5qBvMg== [fileUNF]

This dataset is the product of the third wave of a nationwide longitudinal survey collecting information about travel-related behaviors and attitudes before, during, and after the COVID-19 pandemic. The survey questions cover a wide range of topics including commuting, daily travel, air travel, working from home, online learning, shopping, and risk...

COVID Future Wave 2 Survey Data v1.1.0

May 13, 2022 - COVID Future Survey

Salon, Deborah; Bhagat-Conway, Matthew Wigginton; da Silva Baker, Denise; Chauhan, Rishabh; Mirtich, Laura; Rahimi, Ehsan; Magassy, Tassio; Derrible, Sybil; Mohammadian, Kouros; Pendyala, Ram, 2022, "COVID Future Wave 2 Survey Data v1.1.0", https://doi.org/10.48349/ASU/OYUE7S, ASU Library Research Data Repository, V1, UNF:6:n2icATojhLhqFzVSSANXMg== [fileUNF]

This dataset is the product of the second wave of a nationwide longitudinal survey collecting information about travel-related behaviors and attitudes before, during, and after the COVID-19 pandemic. The survey questions cover a wide range of topics including commuting, daily travel, air travel, working from home, online learning, shopping, and ris...

Replication data for: Uncovering temporospatial sensitive TBI targeting strategies via in vivo phage display

Apr 27, 2022

Martinez, Briana; Stabenfeldt, Sarah, 2022, "Replication data for: Uncovering temporospatial sensitive TBI targeting strategies via in vivo phage display", https://doi.org/10.48349/ASU/ZTW1HN, ASU Library Research Data Repository, V1, UNF:6:sK235WMT38kbmxmkRU4w0g== [fileUNF]

The heterogeneous pathophysiology of traumatic brain injury (TBI) is a barrier to advancing diagnostics and therapeutics, including targeted drug delivery. We employed a unique discovery pipeline to identify novel targeting motifs that recognize specific temporal phases of TBI pathology. This pipeline combined in vivo biopanning with domain antibod...

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