Journal article Open Access

Machine learning for research on climate change adaptation policy integration: an explorative UK case study

Robbert Biesbroek; Ioannis Athanasiadis; Shashi Badloe


JSON-LD (schema.org) Export

{
  "inLanguage": {
    "alternateName": "akh", 
    "@type": "Language", 
    "name": "Angal Heneng"
  }, 
  "description": "<p>Database and raw data files from used in &quot;Machine learning for research on climate change adaptation policy integration: an explorative UK case study&quot;.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Wageningen University", 
      "@type": "Person", 
      "name": "Robbert Biesbroek"
    }, 
    {
      "affiliation": "Wageningen University", 
      "@type": "Person", 
      "name": "Ioannis Athanasiadis"
    }, 
    {
      "affiliation": "Wageningen University", 
      "@type": "Person", 
      "name": "Shashi Badloe"
    }
  ], 
  "headline": "Machine learning for research on climate change adaptation policy integration: an explorative UK case study", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2020-06-27", 
  "url": "https://zenodo.org/record/3911169", 
  "version": "1.0", 
  "keywords": [
    "machine learning", 
    "quantitative text analysis", 
    "climate change adaptation", 
    "policy and decision making", 
    "mainstreaming"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3911169", 
  "@id": "https://doi.org/10.5281/zenodo.3911169", 
  "@type": "ScholarlyArticle", 
  "name": "Machine learning for research on climate change adaptation policy integration: an explorative UK case study"
}
237
104
views
downloads
All versions This version
Views 237237
Downloads 104104
Data volume 434.1 GB434.1 GB
Unique views 218218
Unique downloads 7878

Share

Cite as