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
Authors/Creators
-
Van Calster, Hans
(Data manager)1
-
Lommelen, Els
(Data curator)1
- Groslambert, Antoine (Data collector)2
- Leonard, Anna (Data collector)2
- Vanmeersche, Linda (Data collector)3
- Brulein, Harmony (Data collector)4
-
Vanwambeke, Sophie O.
(Supervisor)4
-
Aerts, Raf
(Data collector)5
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De Clercq, Eva M.
(Researcher)5
- Benchrih, Rafiqa (Data collector)5
- et al. Show all 20 authors
-
Van Calster, Hans
(Data manager)1
-
Lommelen, Els
(Data curator)1
- Groslambert, Antoine (Data collector)2
- Leonard, Anna (Data collector)2
- Vanmeersche, Linda (Data collector)3
- Brulein, Harmony (Data collector)4
-
Vanwambeke, Sophie O.
(Supervisor)4
-
Aerts, Raf
(Data collector)5
-
De Clercq, Eva M.
(Researcher)5
- Benchrih, Rafiqa (Data collector)5
- Melike, Ozen (Data collector)5
-
Carmen, Raïsa
(Researcher)1
-
Lammens, Liesa
(Researcher)1
-
Leone, Michael
(Data collector)1
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Wanner, Saskia
(Researcher)1
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Lebeer, Sarah
(Supervisor)6
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Legein, Marie
(Data collector)6
-
Smets, Wenke
(Data collector)6
-
Spacova, Irina
(Data collector)6
-
Keune, Hans
(Supervisor)6
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).
Technical info
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 deposit
inborutils::download_zenodo(
doi = "10.5281/zenodo.10527033",
path = ".")# unzip
utils::unzip("data_packages.zip")# read the json file
cleaned_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 resources
resources(package = cleaned_data)
resources(package = derived_data)# example how to read a resource from the data package
landscape_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 file
landscape_metadata <- get_schema(
package = cleaned_data,
resource_name = "wp1_landscape_level_data")
Files
data_packages.zip
Files
(482.1 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:a4772c8bda90da36da8f3d2a6e4e70af
|
482.1 kB | Preview Download |
Additional details
Funding
Dates
- Collected
-
2021-04/2022-02