| Spatial Crowdsouring |
GeocrowdSyn |
A toolbox for generating synthetic spatial crowdsourcing datasets |
To, H., Asghari, M., Deng, D., & Shahabi, C. (2016). “SCAWG: A Toolbox for Generating Synthetic Workload for Spatial Crowdsourcing.” In IEEE International Conference on Pervasive Computing and Communication Workshops. |
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mPing |
Weather crowdsourcing dataset includes locations of weather-related conditions, such as rain, snow, hail, wind damages, etc. |
To be updated. |
| Spatial Mobile Video Data Management |
Google Street View Geotagged Images |
To be updated. |
Amir Roshan Zamir and Mubarak Shah. (2014). “Image Geo-localization Based on Multiple Nearest Neighbor Feature Matching using Generalized Graphs”, IEEE Transactions on Pattern Analysis and Machine Intelligence. |
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GeoUGV |
A geo-tagged user-generated video dataset. Each video file is accompanied with a metadata sequence of geo-tags such as GPS locations, compass directions, and spatial keywords at fine-grained intervals. |
Lu, Y., To, H., Alfarrarjeh, A., Kim, S. H., Yin, Y., Zimmermann, R., & Shahabi, C. (2016). “GeoUGV: User-Generated Mobile Video Dataset with Fine Granularity Spatial Metadata.” In Proceedings of the 7th International Conference on Multimedia Systems. |
| GeoSocial Networks |
Gowalla-Brightkite |
http://snap.stanford.edu/data/ |
Leskovec, Jure, and Rok Sosič. (2016). “Snap: A general-purpose network analysis and graph-mining library.” ACM Transactions on Intelligent Systems and Technology. |
| Geo-tagged Data |
Geo-tagged Tweets |
Includes collections of crisis data and a lexicon of crisis terms. |
A. Olteanu, C. Castillo, F. Diaz, S. Vieweg. (2014). “CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises.” In Proceedings of the AAAI Conference on Weblogs and Social Media. |
| Multivariate Time Series |
Multivariate Time Series |
Real World Multivariate Time Series Datasets |
Yang, Kiyoung, and Cyrus Shahabi. (2004). “A PCA-based Similarity Measure for Multivariate Time Series.” Proceedings of the 2nd ACM International Workshop on Multimedia Databases. |