Search for data

The freva-databrowser allows you to perform searches for climate datasets in a wide range of programming languages. The databrowser offers a python library freva_databrowser a command line interface (cli) - freva-databrowser and a REST API which allows you to easily integrate the API into your preferred language and environment. Whether you use Python, JavaScript, R, Julia, or any other language with HTTP request capabilities, the Freva Databrowser REST API accommodates your needs.

Getting Started

To begin using the freva-databrowser, you can make key-value paired queries to search for specific datasets based on different Data Reference Syntax (DRS) standards. The API currently supports several standards, including CMIP5, CMIP6, CORDEX, Freva, and NextGEMS. With the ability to combine these standards intelligently, the databrowser provides a comprehensive and versatile search entry point.

Authentication

The Freva Databrowser is open and publicly accessible, and as such, it doesn’t require authentication. This means you can quickly start exploring and accessing climate data without any additional setup.

Table of Content

• Databrowser python module
  • TLDR: Too long didn’t read
  • Library Reference
• Databrowser Rest API
  • Getting an overview
  • Searching for datasets locations
  • Searching for metadata
  • Generating an intake-esm catalogue
  • Creating zarr endpoints for streaming data
  • Adding and deleting User Data in Databrowser
• The databrowser command line interface
  • Searching for data locations
  • Creating intake-esm catalouges
  • Query the number of occurrences
  • Retrieving the available metadata
  • Parsing the command output
  • Adding and Deleting User Data