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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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111 to 120 of 129 Results
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...
March Mammal Madness(School of Human Evolution and Social Change, College of Liberal Arts and Science, Arizona State University)
Jan 15, 2021
Datasets associated with the annual March Mammal Madness tournament for science education and outreach. Associated publications will also be added to the March Mammal Madness Collection in the ASU Library KEEP Repository. More information about March Mammal Madness can be found at the ASU March Mammal Madness Library Guide.
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...
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.
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
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.
ASU Canine Science Collaboratory(Arizona State University)
Dec 1, 2020
Data for replication of public studies by the Canine Science Collaboratory
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...
Sara Meerow Dataverse(Arizona State University)
Nov 30, 2020
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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