Sold by: Danish Meteorological Institute
Open data
|
Deployed on AWS
DANRA is a high-resolution meteorological reanalysis dataset for Denmark and Northwestern Europe covering the period September 1990 to December 2023
Overview
DANRA is a high-resolution meteorological reanalysis dataset for Denmark and Northwestern Europe covering the period September 1990 to December 2023
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
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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
- DMI Reanalysis dataset v0.5
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::dmi-danra-05
- AWS region
- eu-north-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://dmi-danra-05/
Resources
Vendor resources
Support
Contact
Managed By
How to cite
Danish Meteorological Institute (DMI) Reanalysis dataset v0.5 was accessed on DATE from https://registry.opendata.aws/dmi-danra-05 .
License
DMI Reanalysis dataset v0.5 is distributed under the Creative Commons License CC BY 4.0
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TAUS is a leading global provider of high-quality data with 13+ years of experience. We specialize in domain-specific language data for Machine Learning in addition to data generation by global communities of data contributors, data crawling, annotation, and custom data solutions.
TAUS is a leading global provider of high-quality data with 13+ years of experience. We specialize in domain-specific language data for Machine Learning in addition to data generation by global communities of data contributors, data crawling, annotation, and custom data solutions.
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