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1b8921af-e77f-4ccf-ae38-4813cdceba0f

Exploring Met Office UKV high-resolution dataset

https://github.com/eds-book/1b8921af-e77f-4ccf-ae38-4813cdceba0f

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.8%) to scientific vocabulary

Keywords

climate-dataset environmental-data-science exploration urban
Last synced: 6 months ago · JSON representation ·

Repository

Exploring Met Office UKV high-resolution dataset

Basic Info
  • Host: GitHub
  • Owner: eds-book
  • License: other
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 15 MB
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 7
Topics
climate-dataset environmental-data-science exploration urban
Created almost 4 years ago · Last pushed 6 months ago
Metadata Files
Readme License Citation

README.md

Met Office UKV high-resolution atmosphere model data

Continuous integration badge Binder doi notebook review

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How to run

Running on Binder

The notebook is designed to be launched from Binder.

Click the Launch Binder button at the top level of the repository

Running locally

You may also download the notebook from GitHub to run it locally: 1. Open your terminal

  1. Check your conda install with conda --version. If you don't have conda, install it by following these instructions (see here)

  2. Clone the repository bash git clone https://github.com/eds-book-gallery/1b8921af-e77f-4ccf-ae38-4813cdceba0f.git

  3. Move into the cloned repository bash cd 1b8921af-e77f-4ccf-ae38-4813cdceba0f

  4. Create and activate your environment from the .binder/environment.yml file bash conda env create -f .binder/environment.yml conda activate 1b8921af-e77f-4ccf-ae38-4813cdceba0f

  5. Launch the jupyter interface of your preference, notebook, jupyter notebook or lab jupyter lab

Owner

  • Name: Environmental Data Science Book
  • Login: eds-book
  • Kind: organization
  • Email: environmental.ds.book@gmail.com

Organisation repo of EDS book for governance, outreach and other community-led activities

Citation (CITATION.cff) 

cff-version: 1.2.0
message: Please cite the following works when using this project.
abstract: >-
  Notebook developed to demonstrate how to explore UKV gridded model data using
  the Iris package.
title: >-
  Met Office UKV high-resolution atmosphere model data (Jupyter Notebook)
  published in the Environmental Data Science book
authors:
  - family-names: Adams
    given-names: Samantha V.
    affiliation: Met Office
    orcid: 0000-0003-3031-4855
    email: samantha.adams@metoffice.gov.uk
date-released: '2023-09-01'
contact:
  - family-names: Adams
    given-names: Samantha V.
    affiliation: Met Office
    orcid: 0000-0003-3031-4855
    email: samantha.adams@metoffice.gov.uk
identifiers:
  - description: Open review report for this notebook
    type: url
    value: https://github.com/alan-turing-institute/environmental-ds-book/pull/3
keywords:
  - Atmosphere
  - Exploration
  - Standard
  - Python
license: MIT
license-url: https://opensource.org/license/MIT
repository: https://github.com/eds-book/1b8921af-e77f-4ccf-ae38-4813cdceba0f
type: software
version: v2025.6.0

GitHub Events

Total
  • Push event: 43
  • Pull request event: 1
  • Create event: 1
Last Year
  • Push event: 43
  • Pull request event: 1
  • Create event: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 25
  • Average time to close issues: N/A
  • Average time to close pull requests: about 1 hour
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 1.76
  • Merged pull requests: 24
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 3
  • Average time to close issues: N/A
  • Average time to close pull requests: about 9 hours
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 1.67
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
  • acocac (25)
Top Labels
Issue Labels
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Dependencies

.github/workflows/binder.yaml actions
  • actions/github-script v3 composite
.github/workflows/build.yaml actions
  • actions/checkout main composite
  • jupyterhub/repo2docker-action master composite
  • notiz-dev/github-action-json-property release composite
.github/workflows/preview.yaml actions
  • actions/checkout v2 composite
  • ad-m/github-push-action master composite
  • addnab/docker-run-action v3 composite
  • notiz-dev/github-action-json-property release composite
.github/workflows/render.yaml actions
  • actions/checkout v2 composite
  • ad-m/github-push-action master composite
  • addnab/docker-run-action v3 composite
  • notiz-dev/github-action-json-property release composite
.github/workflows/test.yaml actions
  • actions/checkout main composite
  • jupyterhub/repo2docker-action master composite
  • notiz-dev/github-action-json-property release composite
.binder/environment.yml conda
  • iris 3.3.0.*
  • jupyter
  • pooch
  • python 3.9.*