database CHe Marcel Cardinali author 584620000-0002-8841-9345 DEP1055 department 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. TU Delft2024 Green SpaceMediationsocial cohesionstructural equation modellingwell-being 10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1 Cardinali, M. (2024). <i>Data underlying the publication: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities</i>. TU Delft. <a href="https://doi.org/10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1">https://doi.org/10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1</a> <b>Cardinali, Marcel</b>: Data underlying the publication: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities, o. O. 2024. <b>Cardinali M</b> (2024) <i>Data Underlying the Publication: Examining Green Space Characteristics for Social Cohesion and Mental Health Outcomes: A Sensitivity Analysis in Four European Cities</i>. TU Delft. Cardinali, Marcel. 2024. <i>Data underlying the publication: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities</i>. TU Delft. doi:<a href="https://doi.org/10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1">10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1</a>, . <span style="font-variant:small-caps;">Cardinali, Marcel</span>: <i>Data underlying the publication: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities</i> : TU Delft, 2024 M. Cardinali, Data underlying the publication: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities, TU Delft, 2024. M. Cardinali, Data Underlying the Publication: Examining Green Space Characteristics for Social Cohesion and Mental Health Outcomes: A Sensitivity Analysis in Four European Cities, TU Delft, 2024. M. Cardinali, <i>Data underlying the publication: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities</i>. TU Delft, 2024. doi: <a href="https://doi.org/10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1">10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1</a>. Cardinali M. Data underlying the publication: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities. TU Delft; 2024. Cardinali M. <i>Data Underlying the Publication: Examining Green Space Characteristics for Social Cohesion and Mental Health Outcomes: A Sensitivity Analysis in Four European Cities</i>. TU Delft; 2024. doi:<a href="https://doi.org/10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1">10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1</a> Cardinali, Marcel. <i>Data Underlying the Publication: Examining Green Space Characteristics for Social Cohesion and Mental Health Outcomes: A Sensitivity Analysis in Four European Cities</i>. TU Delft, 2024, <a href="https://doi.org/10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1">https://doi.org/10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1</a>. Cardinali, Marcel. <i>Data Underlying the Publication: Examining Green Space Characteristics for Social Cohesion and Mental Health Outcomes: A Sensitivity Analysis in Four European Cities</i>. TU Delft, 2024. <a href="https://doi.org/10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1">https://doi.org/10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1</a>. 137972026-06-03T08:08:55Z2026-06-03T08:45:19Z