Open data
|
Deployed on AWS
OSM is a free, editable map of the world, created and maintained by volunteers. Regular OSM data archives are made available in Amazon S3 in both standard formats (OSM PBF, XML) and cloud-native formats optimized for analytics workloads.
Overview
OSM is a free, editable map of the world, created and maintained by volunteers. Regular OSM data archives are made available in Amazon S3 in both standard formats (OSM PBF, XML) and cloud-native formats optimized for analytics workloads.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- OSMF-managed planet and history PBFs, changeset and discussion XML, and OsmChange (XML) replication files (primary)
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::osm-planet-eu-central-1
- AWS region
- eu-central-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://osm-planet-eu-central-1/
- Description
- OSMF-managed planet and history PBFs, changeset and discussion XML, and OsmChange (XML) replication files (replicated)
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::osm-planet-us-west-2
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://osm-planet-us-west-2/
- Description
- SNS topic for OSMF-managed S3 event notifications (eu-central-1 bucket)
- Resource type
- SNS topic
- Amazon Resource Name (ARN)
- arn:aws:sns:eu-central-1:630658470130:osm-planet-eu-central-1-notifications
- AWS region
- eu-central-1
- Description
- SNS topic for OSMF-managed S3 event notifications (us-west-2 bucket)
- Resource type
- SNS topic
- Amazon Resource Name (ARN)
- arn:aws:sns:us-west-2:630658470130:osm-planet-us-west-2-notifications
- AWS region
- us-west-2
- Description
- OSM planet snapshots, history, and changesets in cloud-native formats optimized for analytics workloads
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::osm-pds
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://osm-pds/
- Description
- SNS topic for cloud-native data notifications
- Resource type
- SNS topic
- Amazon Resource Name (ARN)
- arn:aws:sns:us-east-1:800218804198:New_File
- AWS region
- us-east-1
Resources
Vendor resources
Support
Contact
https://planet.osm.org (OSMF-managed data), https://github.com/mojodna/osm-pds-pipelines/issues (cloud-native versions)
Managed By
OpenStreetMap Foundation (OSMF) and Pacific Atlas
How to cite
OpenStreetMap on AWS was accessed on DATE from https://registry.opendata.aws/osm .
Similar products
OpenAerialMap is a collection of high-resolution openly licensed satellite and aerial imagery.
This product has charges associated with it for the convenience of being pre-build, pre-populated and pre-configured so you can do a 1-click deployment
The real-changesets is an augmented representation of OpenStreetMap changesets in JSON format. It contains the current and the previous version of each feature in a changeset.
It's primary used by OSMCha, the main OpenStreetMap validation tool, to have a visualization of the changeset and provide to the user the understanding of what was changed on the map.
The real-changesets are created by combining the changeset metadata and the augmented diff generated by overpass.
The OpenCell project is a proteome-scale effort to measure the localization and interactions of human proteins using high-throughput genome engineering to endogenously tag thousands of proteins in the human proteome. This dataset consists of the raw confocal fluorescence microscopy images for all tagged cell lines in the OpenCell library.These images can be interpreted both individually, to determine the localization of particular proteins of interest, and in aggregate, by training machine learning models to classify or quantify subcellular localization patterns.