DOI: 10.5281/zenodo.10527032
title: Data from a cross-sectional study of fifth grade children in a sample of primary schools in Belgium that differ in amount of greenness at school and landscape level

description: The data in this deposit were collected as part of the B@SEBALL project (Biodiversity at School Environments - Benefits for All). 

The project investigated how biodiversity in the school environment can positively affect children’s health and mental well-being.  B@SEBALL also investigated the opportunities for reducing health inequalities among children via biodiversity at school environments.

The data are organized according to the Frictionless Data Package standard. All child-level and school-level data have been anonymized. Each data package is a collection of csv files and a json file. The json file holds descriptive information for all variables in all csv files. The zip file contains two frictionless data packages. The data packages contain information on 37 primary schools and 513 children. 

The data package, data_package_an_zenodo_cleaned_data, contains the original data in a tidied and cleaned format. It consists of 46 csv files. The files relate to the following contents:




contents
filename


metadata file
datapackage.json


landscape level variables
wp1_landscape_level_data.csv


metadata about participants
wp2_participants_metadata.csv


general school level data
wp2_school_data.csv


pollution data at school level
wp3_ua_sirm_data.csv


classroom data about air quality
wp3_ucl_classroom_airquality.csv


area of ecotopes in the school environment
wp3_ucl_ecotope_categories.csv


greenness indicators for the school environment derived from ecotopes
wp3_ucl_greenness_indicators.csv


greenness indicators for the school environment derived from ecotopes
wp3_ucl_greenness_key.csv


greenness indicators for the school environment derived from ecotopes
wp3_ucl_greenpatches.csv


playground biodiversity indicators
wp3_ucl_playground_biodiversity.csv


d2-test of attention data
wp4_d2_data_by_child.csv


d2-test of attention data
wp4_d2_data_by_line.csv


d2-test of attention data
wp4_d2_data_by_linegroup.csv


Self-reported allergy data
wp4_isaac_data.csv


Self-reported allergy data
wp4_isaac_questions.csv


Self-reported well-being data
wp4_kidscreen_data.csv


Self-reported well-being data
wp4_kidscreen_questions.csv


Self-reported attitude toward outdoor play
wp5_atop_data.csv


Self-reported attitude toward outdoor play
wp5_atop_questions.csv


Guardian-reported general questions
wp5_guardians_general_questions_data.csv


Guardian-reported general questions
wp5_guardians_general_questions_key.csv


Guardian-reported protection from risk
wp5_guardians_risk_protection_data_part1.csv


Guardian-reported protection from risk
wp5_guardians_risk_protection_data_part2.csv


Guardian-reported protection from risk
wp5_guardians_risk_protection_key.csv


Self-reported nature connectedness
wp5_nc_data.csv


Self-reported nature connectedness
wp5_nc_key.csv


Parent-reported allergy data
wp5_parents_allergy_related_questions_data.csv


Parent-reported allergy data
wp5_parents_allergy_related_questions_key.csv


Parent-reported cultural background
wp5_parents_cultural_background_data.csv


Parent-reported cultural background
wp5_parents_cultural_background_key.csv


Parent-reported general questions
wp5_parents_general_questions_data.csv


Parent-reported general questions
wp5_parents_general_questions_key.csv


Parent-reported independent mobility data
wp5_parents_independent_mobility_data.csv


Parent-reported independent mobility data
wp5_parents_independent_mobility_key.csv


Parent-reported living environment
wp5_parents_living_environment_data.csv


Parent-reported living environment
wp5_parents_living_environment_key.csv


Parent-reported outdoor play characteristics
wp5_parents_outdoor_play_data_part1.csv


Parent-reported outdoor play characteristics
wp5_parents_outdoor_play_data_part2.csv


Parent-reported outdoor play characteristics
wp5_parents_outdoor_play_data_part3.csv


Parent-reported outdoor play characteristics
wp5_parents_outdoor_play_data_part4.csv


Parent-reported outdoor play characteristics
wp5_parents_outdoor_play_key.csv


Parent-reported risk protection data
wp5_parents_risk_protection_data_part1.csv


Parent-reported risk protection data
wp5_parents_risk_protection_data_part2.csv


Parent-reported risk protection data
wp5_parents_risk_protection_key.csv


Parent-reported data relating to socio-economic status
wp5_parents_ses_questions_data.csv


Parent-reported data relating to socio-economic status
wp5_parents_ses_questions_key.csv




 

The data_package_an_zenodo_derived_data data package, contains derived data that was calculated based on input from data_package_an_zenodo_cleaned_data at either child-level or at school-level.




contents
filename


metadata file
datapackage.json


derived data at child level
wp1_child_level_key_variables.csv


derived attention score based on d2-test data, aggregated to line-level
wp1_d2_by_line_attention_score.csv


derived data at school level
wp1_school_level_key_variables.csv




These data packages only store information for participants that gave consent for a particular part of the study and that gave consent for long-term storage of the data. There may therefore be slight differences between results published as part of the project consortium, which could make use of participant data that did not give consent for long-term data storage, and reproduction of these results based on the data in this data repository. We also note that the derived variables in the derived data package were calculated with these participants included and removal of participants for which we had no long-term storage consent was done after these calculations.

As part of the project, microbiome data were also collected (both from cheek swabs on the children and from environmental samples), but this part of the data are not a part of this deposit and will be deposited in the European Nucleotide Archive (ENA).
description: As a service to users of the R statistical programming language, we provide an R script that can be used as a start to use the data contained in this deposit:



library(inborutils)library(frictionless)

# download the zenodo depositinborutils::download_zenodo(  doi = "10.5281/zenodo.10527033",  path = ".")

# unziputils::unzip("data_packages.zip")

# read the json filecleaned_data <- read_package(  file = file.path("datapackage_an_zenodo_cleaned_data", "datapackage.json"))derived_data <- read_package(  file = file.path("datapackage_an_zenodo_derived_data", "datapackage.json"))

# list available resourcesresources(package = cleaned_data)resources(package = derived_data)

# example how to read a resource from the data packagelandscape_data <- read_resource(  package = cleaned_data,  resource_name = "wp1_landscape_level_data")

str(landscape_data)class(landscape_data)summary(landscape_data)

# read associated descriptions and other metadata from json filelandscape_metadata <- get_schema(  package = cleaned_data,  resource_name = "wp1_landscape_level_data")