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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81 to 90 of 96 Results

MMM Aggregate Educator 2018 and 2019 Survey Data Feb 15, 2021 - March Mammal Madness Hinde, Katherine, 2021, "MMM Aggregate Educator 2018 and 2019 Survey Data", https://doi.org/10.48349/ASU/KKXMSF, ASU Library Research Data Repository, V2, UNF:6:vxBC8NET+LAk+5JGJG3h9A== [fileUNF] Raw and imputed data from the 2018 and 2019 surveys of educators who use March Mammal Madness with their learners.
Resilience Planning Networks: Plan Analysis Methodology Jan 27, 2021 - Sara Meerow Dataverse Woodruff, Sierra; Meerow, Sara; Hannibal, Bryce; Matos, Melina; Roy, Malini, 2021, "Resilience Planning Networks: Plan Analysis Methodology", https://doi.org/10.48349/ASU/MLH3ON, ASU Library Research Data Repository, V1 This document outlines the methodology used in the Resilience Planning Networks project to analyze how the network of plans in four coastal cities are impacting resilience to flooding. This included an assessment of plan quality, plan integration scorecard, and plan cross-referencing.
Building Resilience in Seattle: An Analysis of City Plans Jan 27, 2021 - Sara Meerow Dataverse Meerow, Sara; Woodruff, Sierra; Hannibal, Bryce; Matos, Melina; Roy, Malini; Gilbertson, Philip, 2021, "Building Resilience in Seattle: An Analysis of City Plans", https://doi.org/10.48349/ASU/YXUSKY, ASU Library Research Data Repository, V2 This report highlights findings from a joint research project between Arizona State University and Texas A&M University funded by the National Science Foundation. The central goal of the Resilience Planning Networks project is to assess the degree of coordination of government agencies and stakeholders engaged in resilience planning and to examine...
Building Resilience in Boston: An Analysis of City Plans Jan 26, 2021 - Sara Meerow Dataverse Woodruff, Sierra C.; Meerow, Sara; Hannibal, Bryce; Roy, Malini; Matos, Melina; Gilbertson, Philip, 2021, "Building Resilience in Boston: An Analysis of City Plans", https://doi.org/10.48349/ASU/VPO9LD, ASU Library Research Data Repository, V1 This report highlights findings from a joint research project between Arizona State University and Texas A&M University funded by the National Science Foundation. The central goal of the Resilience Planning Networks project is to assess the degree of coordination of government agencies and stakeholders engaged in resilience planning and to examine...
Replication Data for: Alarm Propagation in Social Insects Dec 16, 2020 Xiaohui Guo, 2020, "Replication Data for: Alarm Propagation in Social Insects", https://doi.org/10.48349/ASU/OYZWEK, ASU Library Research Data Repository, V1, UNF:6:4hfqJk/udkEhwzCyamQIJg== [fileUNF] This project studied alarm signal propagation in social insect colonies. The data includes individual ants' x,y coordinates, speed and orientation, which were used to train a machine learning regression model in order to identify each individual ant's alarm state. By applying estimates of alarm state on each individual, we could track the alarm sig...
Replication Data for: Henry Thomson. 2018. "Grievances, Mobilization, and Mass Opposition to Authoritarian Regimes: A Subnational Analysis of East Germany's 1953 Abbreviated Revolution" Dec 1, 2020 Thomson, Henry, 2020, "Replication Data for: Henry Thomson. 2018. "Grievances, Mobilization, and Mass Opposition to Authoritarian Regimes: A Subnational Analysis of East Germany's 1953 Abbreviated Revolution"", https://doi.org/10.48349/ASU/VXNSFX, ASU Library Research Data Repository, V1, UNF:6:mT23AUb4iT1HQdH5nUjvoA== [fileUNF] Stata dataset and do-file.
Replication Data for: A Canine Identity Crisis: Genetic Breed Heritage Testing of Shelter Dogs Dec 1, 2020 - ASU Canine Science Collaboratory Gunter, Lisa M.; Barber, Rebecca T.; Wynne, Clive D. L., 2020, "Replication Data for: A Canine Identity Crisis: Genetic Breed Heritage Testing of Shelter Dogs", https://doi.org/10.48349/ASU/QXXWGP, ASU Library Research Data Repository, V2, UNF:6:9SutVnmjTIlR8mI9Y63EPQ== [fileUNF] Replication data in csv and xls formats
Replication Data for: What’s in a Name? Effect of Breed Perceptions and Labeling on Attractiveness, Adoptions and Length of Stay for Pit-Bull-Type Dogs Dec 1, 2020 - ASU Canine Science Collaboratory Gunter, Lisa M.; Barber, Rebecca T.; Wynne, Clive D. L., 2020, "Replication Data for: What’s in a Name? Effect of Breed Perceptions and Labeling on Attractiveness, Adoptions and Length of Stay for Pit-Bull-Type Dogs", https://doi.org/10.48349/ASU/HGUZA6, ASU Library Research Data Repository, V1, UNF:6:tkJPXhAM6DAX8ihOOW8YSg== [fileUNF] Replication data for the 4 different studies in this paper.
Replication Data for: A Green Infrastructure Spatial Planning model for evaluating ecosystem service tradeoffs and synergies across three coastal megacities Nov 30, 2020 - Sara Meerow Dataverse Meerow, Sara, 2020, "Replication Data for: A Green Infrastructure Spatial Planning model for evaluating ecosystem service tradeoffs and synergies across three coastal megacities", https://doi.org/10.48349/ASU/BCHZPR, ASU Library Research Data Repository, V2 These shapefiles contain the data for the GISP model for Los Angeles, New York City, and Manila as described in Meerow (2019) A Green Infrastructure Spatial Planning model for evaluating ecosystem service tradeoffs and synergies across three coastal megacities. https://iopscience.iop.org/article/10.1088/1748-9326/ab502c For each dataset crit01 is c...
Replication Data for: A Quiet Revolution in State Lobbying: Government Growth and Interest Populations Nov 23, 2020 - James Strickland Dataverse Strickland, James, 2020, "Replication Data for: A Quiet Revolution in State Lobbying: Government Growth and Interest Populations", https://doi.org/10.48349/ASU/2J9R9H, ASU Library Research Data Repository, V1, UNF:6:0WkHOlRFWzptQyNKKIxT2w== [fileUNF] What explains contemporary numbers of interest groups in America? To answer this question and help address conflicting narratives in research, I examine the rise of interest groups in the states. Assembling an original data set based on archival and secondary sources, I find that relatively few groups lobbied legislators prior to the 1960s or 1970s...

MMM Aggregate Educator 2018 and 2019 Survey Data

Feb 15, 2021 - March Mammal Madness

Hinde, Katherine, 2021, "MMM Aggregate Educator 2018 and 2019 Survey Data", https://doi.org/10.48349/ASU/KKXMSF, ASU Library Research Data Repository, V2, UNF:6:vxBC8NET+LAk+5JGJG3h9A== [fileUNF]

Raw and imputed data from the 2018 and 2019 surveys of educators who use March Mammal Madness with their learners.

Resilience Planning Networks: Plan Analysis Methodology

Jan 27, 2021 - Sara Meerow Dataverse

Woodruff, Sierra; Meerow, Sara; Hannibal, Bryce; Matos, Melina; Roy, Malini, 2021, "Resilience Planning Networks: Plan Analysis Methodology", https://doi.org/10.48349/ASU/MLH3ON, ASU Library Research Data Repository, V1

This document outlines the methodology used in the Resilience Planning Networks project to analyze how the network of plans in four coastal cities are impacting resilience to flooding. This included an assessment of plan quality, plan integration scorecard, and plan cross-referencing.

Building Resilience in Seattle: An Analysis of City Plans

Jan 27, 2021 - Sara Meerow Dataverse

Meerow, Sara; Woodruff, Sierra; Hannibal, Bryce; Matos, Melina; Roy, Malini; Gilbertson, Philip, 2021, "Building Resilience in Seattle: An Analysis of City Plans", https://doi.org/10.48349/ASU/YXUSKY, ASU Library Research Data Repository, V2

This report highlights findings from a joint research project between Arizona State University and Texas A&M University funded by the National Science Foundation. The central goal of the Resilience Planning Networks project is to assess the degree of coordination of government agencies and stakeholders engaged in resilience planning and to examine...

Building Resilience in Boston: An Analysis of City Plans

Jan 26, 2021 - Sara Meerow Dataverse

Woodruff, Sierra C.; Meerow, Sara; Hannibal, Bryce; Roy, Malini; Matos, Melina; Gilbertson, Philip, 2021, "Building Resilience in Boston: An Analysis of City Plans", https://doi.org/10.48349/ASU/VPO9LD, ASU Library Research Data Repository, V1

Replication Data for: Alarm Propagation in Social Insects

Dec 16, 2020

Xiaohui Guo, 2020, "Replication Data for: Alarm Propagation in Social Insects", https://doi.org/10.48349/ASU/OYZWEK, ASU Library Research Data Repository, V1, UNF:6:4hfqJk/udkEhwzCyamQIJg== [fileUNF]

This project studied alarm signal propagation in social insect colonies. The data includes individual ants' x,y coordinates, speed and orientation, which were used to train a machine learning regression model in order to identify each individual ant's alarm state. By applying estimates of alarm state on each individual, we could track the alarm sig...

Replication Data for: Henry Thomson. 2018. "Grievances, Mobilization, and Mass Opposition to Authoritarian Regimes: A Subnational Analysis of East Germany's 1953 Abbreviated Revolution"

Dec 1, 2020

Thomson, Henry, 2020, "Replication Data for: Henry Thomson. 2018. "Grievances, Mobilization, and Mass Opposition to Authoritarian Regimes: A Subnational Analysis of East Germany's 1953 Abbreviated Revolution"", https://doi.org/10.48349/ASU/VXNSFX, ASU Library Research Data Repository, V1, UNF:6:mT23AUb4iT1HQdH5nUjvoA== [fileUNF]

Stata dataset and do-file.

Replication Data for: A Canine Identity Crisis: Genetic Breed Heritage Testing of Shelter Dogs

Dec 1, 2020 - ASU Canine Science Collaboratory

Gunter, Lisa M.; Barber, Rebecca T.; Wynne, Clive D. L., 2020, "Replication Data for: A Canine Identity Crisis: Genetic Breed Heritage Testing of Shelter Dogs", https://doi.org/10.48349/ASU/QXXWGP, ASU Library Research Data Repository, V2, UNF:6:9SutVnmjTIlR8mI9Y63EPQ== [fileUNF]

Replication data in csv and xls formats

Replication Data for: What’s in a Name? Effect of Breed Perceptions and Labeling on Attractiveness, Adoptions and Length of Stay for Pit-Bull-Type Dogs

Dec 1, 2020 - ASU Canine Science Collaboratory

Gunter, Lisa M.; Barber, Rebecca T.; Wynne, Clive D. L., 2020, "Replication Data for: What’s in a Name? Effect of Breed Perceptions and Labeling on Attractiveness, Adoptions and Length of Stay for Pit-Bull-Type Dogs", https://doi.org/10.48349/ASU/HGUZA6, ASU Library Research Data Repository, V1, UNF:6:tkJPXhAM6DAX8ihOOW8YSg== [fileUNF]

Replication data for the 4 different studies in this paper.

Replication Data for: A Green Infrastructure Spatial Planning model for evaluating ecosystem service tradeoffs and synergies across three coastal megacities

Nov 30, 2020 - Sara Meerow Dataverse

Meerow, Sara, 2020, "Replication Data for: A Green Infrastructure Spatial Planning model for evaluating ecosystem service tradeoffs and synergies across three coastal megacities", https://doi.org/10.48349/ASU/BCHZPR, ASU Library Research Data Repository, V2

These shapefiles contain the data for the GISP model for Los Angeles, New York City, and Manila as described in Meerow (2019) A Green Infrastructure Spatial Planning model for evaluating ecosystem service tradeoffs and synergies across three coastal megacities. https://iopscience.iop.org/article/10.1088/1748-9326/ab502c For each dataset crit01 is c...

Replication Data for: A Quiet Revolution in State Lobbying: Government Growth and Interest Populations

Nov 23, 2020 - James Strickland Dataverse

Strickland, James, 2020, "Replication Data for: A Quiet Revolution in State Lobbying: Government Growth and Interest Populations", https://doi.org/10.48349/ASU/2J9R9H, ASU Library Research Data Repository, V1, UNF:6:0WkHOlRFWzptQyNKKIxT2w== [fileUNF]

What explains contemporary numbers of interest groups in America? To answer this question and help address conflicting narratives in research, I examine the rise of interest groups in the states. Assembling an original data set based on archival and secondary sources, I find that relatively few groups lobbied legislators prior to the 1960s or 1970s...

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