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Google Big Query Public Datasets makes it much more usable for querying and exploring the data. It can easily be used in Jupiter notebooks without additional transforms or resources.
Can you ask the REST API team if they would be interested in making this a more formal integration? Alternatively , it can be managed as an up-to-date unofficial resource for customers.
BigQuery's costs are minimal since the data owner only pays for storage and issuer's pay for queries. NPS should be able to host this data for a few dollars a month regardless of the traffic it receives.
US National Park Service (NPS) API has some compelling data about National Parks, events, media and more.
Google Big Query Public Datasets makes it much more usable for querying and exploring the data. It can easily be used in Jupiter notebooks without additional transforms or resources.
Here are instructions on how to access the data.
https://github.com/tonymet/nps-public-data
Can you ask the REST API team if they would be interested in making this a more formal integration? Alternatively , it can be managed as an up-to-date unofficial resource for customers.
BigQuery's costs are minimal since the data owner only pays for storage and issuer's pay for queries. NPS should be able to host this data for a few dollars a month regardless of the traffic it receives.
See also this post about the REST API https://news.ycombinator.com/item?id=39085830
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