---
res:
  bibo_abstract:
  - The research objective was to examine if the significant findings between green
    space, social cohesion and mental health stem from unique green space characteristics
    or similar mechanisms. This dataset is a correlation matrix of 105 green space
    indicators gathered in GIS, covering 7 different green space characteristics (surrounding
    greenness (NDVI 0-1), accessible greenness (NDVI 0-1), accessible green space
    (m2), accessible green corridors (m2), accessible total green space (m2), sum
    of green space uses (n), mix of green space uses(n)) in 15 distances from 100
    to 1,500 m every 100 m.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Marcel
      foaf_name: Cardinali, Marcel
      foaf_surname: Cardinali
      foaf_workInfoHomepage: http://www.librecat.org/personId=58462
    orcid: 0000-0002-8841-9345
  bibo_doi: 10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1
  dct_date: 2024^xs_gYear
  dct_publisher: TU Delft@
  dct_subject:
  - Green Space
  - Mediation
  - social cohesion
  - structural equation modelling
  - well-being
  dct_title: 'Data underlying the publication: Examining green space characteristics
    for social cohesion and mental health outcomes: A sensitivity analysis in four
    European cities@'
...