metadata-inspector 2022.10.2

Inspect metadata of weather/climate datasets

metadata-inspektor

A python based cli to inspect climate data metadata using xarray

Using the command line interface.

The python package is supposed to be used as a command line interface. Meta data of various datasets can be inspected. To inspect the meta data use the metadata-inspector command:

metadata-inspector --help
usage: metadata-inspector [-h] [--html] [--version] input [input ...]

Inspect meta data of a weather/climate datasets

positional arguments:
  input          Input files that will be processed

options:
  -h, --help     show this help message and exit
  --html         Create html representation of the dataset. (default: False)
  --version, -V  show program's version number and exit

Getting started

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Add your files

• Create or upload files
• Add files using the command line or push an existing Git repository with the following command:

cd existing_repo
git remote add origin https://gitlab.dkrz.de/freva/metadata-inspektor.git
git branch -M main
git push -uf origin main

Integrate with your tools

• Set up project integrations

Collaborate with your team

• Invite team members and collaborators
• Create a new merge request
• Automatically close issues from merge requests
• Enable merge request approvals
• Automatically merge when pipeline succeeds

Test and Deploy

Use the built-in continuous integration in GitLab.

• Get started with GitLab CI/CD
• Analyze your code for known vulnerabilities with Static Application Security Testing(SAST)
• Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy
• Use pull-based deployments for improved Kubernetes management
• Set up protected environments

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Editing this README

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