geo-openstreetmap
- kaggle.com
zipUpdated Apr 17, 2020
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EmailClick to copy linkLink copiedCiteGoogle BigQuery (2020). geo-openstreetmap [Dataset]. https://www.kaggle.com/bigquery/geo-openstreetmapzip(0 bytes)Available download formatsDataset updatedApr 17, 2020AuthorsGoogle BigQueryLicensehttp://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/
DescriptionContext
Adapted from Wikipedia: OpenStreetMap (OSM) is a collaborative project to create a free editable map of the world. Created in 2004, it was inspired by the success of Wikipedia and more than two million registered users who can add data by manual survey, GPS devices, aerial photography, and other free sources.
To aid researchers, data scientists, and analysts in the effort to combat COVID-19, Google is making a hosted repository of public datasets including OpenStreetMap data, free to access. To facilitate the Kaggle community to access the BigQuery dataset, it is onboarded to Kaggle platform which allows querying it without a linked GCP account. Please note that due to the large size of the dataset, Kaggle applies a quota of 5 TB of data scanned per user per 30-days.
Content
This is the OpenStreetMap (OSM) planet-wide dataset loaded to BigQuery.
Tables: -
history_*tables: full history of OSM objects. -planet_*tables: snapshot of current OSM objects as of Nov 2019.The
history_*andplanet_*table groups are composed of node, way, relation, and changeset tables. These contain the primary OSM data types and an additional changeset corresponding to OSM edits for convenient access. These objects are encoded using the BigQuery GEOGRAPHY data type so that they can be operated upon with the built-in geography functions to perform geometry and feature selection, additional processing.Resources
You can read more about OSM elements on the OSM Wiki. This dataset uses BigQuery GEOGRAPHY datatype which supports a set of functions that can be used to analyze geographical data, determine spatial relationships between geographical features, and construct or manipulate GEOGRAPHYs.
List of all the DISEASES
- kaggle.com
zipUpdated Feb 23, 2020ShareFacebookTwitterEmailClick to copy linkLink copiedCiteHarshDhakad2.0 (2020). List of all the DISEASES [Dataset]. https://www.kaggle.com/harshdhakad20/list-of-all-the-diseaseszip(33617 bytes)Available download formatsDataset updatedFeb 23, 2020AuthorsHarshDhakad2.0DescriptionDataset
This dataset was created by HarshDhakad2.0
Contents
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The OpenStreetMap planet-wide dataset loaded to BigQuery
http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/
Context
Adapted from Wikipedia: OpenStreetMap (OSM) is a collaborative project to create a free editable map of the world. Created in 2004, it was inspired by the success of Wikipedia and more than two million registered users who can add data by manual survey, GPS devices, aerial photography, and other free sources.
To aid researchers, data scientists, and analysts in the effort to combat COVID-19, Google is making a hosted repository of public datasets including OpenStreetMap data, free to access. To facilitate the Kaggle community to access the BigQuery dataset, it is onboarded to Kaggle platform which allows querying it without a linked GCP account. Please note that due to the large size of the dataset, Kaggle applies a quota of 5 TB of data scanned per user per 30-days.
Content
This is the OpenStreetMap (OSM) planet-wide dataset loaded to BigQuery.
Tables:
- history_* tables: full history of OSM objects.
- planet_* tables: snapshot of current OSM objects as of Nov 2019.
The history_* and planet_* table groups are composed of node, way, relation, and changeset tables. These contain the primary OSM data types and an additional changeset corresponding to OSM edits for convenient access. These objects are encoded using the BigQuery GEOGRAPHY data type so that they can be operated upon with the built-in geography functions to perform geometry and feature selection, additional processing.
Resources
You can read more about OSM elements on the OSM Wiki. This dataset uses BigQuery GEOGRAPHY datatype which supports a set of functions that can be used to analyze geographical data, determine spatial relationships between geographical features, and construct or manipulate GEOGRAPHYs.