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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.

Ready to share your data? Visit the ASU Research Data Repository home to learn more and request a consultation.

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2,611 to 2,620 of 12,617 Results
Hierarchical Data Format - 30.0 MB - MD5: a3770d6c08f9cc8d58c23cb45856300a
Data
Unknown - 318.6 KB - MD5: b32633b643335fb6d4045f364c8900ec
Data
SLEAP slp file used for training.
JSON - 5.3 KB - MD5: f8866ee9328324f5214f627eebd8d16c
Data
SLEAP skeleton used for machine learning training.
MPEG-4 Video - 2.1 MB - MD5: 8dc6343734eb38731da38f66074f4945
Data
Video file used for training.
Plain Text - 13.2 KB - MD5: 4a167f12032fcaa9091318ad419b618e
Documentation
README text file.
MS Excel Spreadsheet - 2.1 MB - MD5: 156b6ee539b9dfd5ef416b879a5164d1
Data
Raw data with all SLEAP X- Y- coordinates.
Adobe PDF - 359.0 KB - MD5: ff4715f81869360ab2167c143f6a02eb
Data
Table of San Francisco Bay Area cities and when their parking codes were last updated relative to when inventory was developed.
Tabular Data - 24.2 KB - 16 Variables, 81 Observations - UNF:6:o4iDo4neMSlg6IY9o9eEJQ==
Documentation
Land use codes and descriptions.
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