https://www.worldbank.org/en/about/legal/terms-of-use-for-datasetshttps://www.worldbank.org/en/about/legal/terms-of-use-for-datasets
This dataset was created by Davide Santangelo
Released under World Bank Dataset Terms of Use
This dataset was created by Kopal Dixit
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This data set contains traffic incident information from the Austin-Travis County traffic reports.
This data was picked from the official City of Austin Open Data Portal - Link here This data set contains traffic incident information from the Austin-Travis County traffic reports RSS feed, available at http://www.ci.austin.tx.us/qact/default.cfm. The dataset is updated every 5 minutes. Incidents that are currently in the RSS feed have a status of "active" in this dataset. Incidents that are no longer appear in the feed have a status of "archived."
This data might help us better understand the locations of the incidents/accidents that happen in the region. Could infer a time-location analogy of the incidents, helping us get a glimpse of the traffic situation.
Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
This dataset contains 5,640 user-submitted reviews of major music streaming apps on iOS, gathered from the Apple App Store’s public RSS feed.
Covered applications include: * Apple Music * Spotify * TIDAL * SoundCloud * Deezer * Shazam
Each review includes:
* 🌍 country
: Reviewer’s regional App Store (e.g., US, GB, JP)
* 📝 review
: Full text of the review (with title and body)
* ⭐ rating
: User star rating from 1 to 5
* 🕓 date
: Timestamp (ISO format)
* 👤 author
: Reviewer display name
These reviews were retrieved using Apple’s publicly accessible RSS feed endpoints. No login or scraping was used.
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https://www.worldbank.org/en/about/legal/terms-of-use-for-datasetshttps://www.worldbank.org/en/about/legal/terms-of-use-for-datasets
This dataset was created by Davide Santangelo
Released under World Bank Dataset Terms of Use