Annotated Exposure Codebook (ISGlobal Exposome Challenge)
Source:R/data_annotated_cb.R
annotated_cb.RdA data.frame containing 98 exposure variables annotated using ontology terms from ENVO, CHEBI, or similar sources.
This annotated codebook was generated using the ont_annot_app() Shiny app.
Format
A data.frame with the following columns:
- variable
Exposure variable name.
- period
Measurement period.
- location
Exposure location.
- description
Brief description of the exposure variable.
- var_type
Variable type (e.g., numeric, categorical).
- transformation
Transformation applied.
- selected_ontology_label
Human-readable ontology term label.
- selected_ontology_id
Ontology term ID.
- root_id
Root ontology ID corresponding to high-level category.
- root_label
Root term label.
- category
Mapped category label (usually matches
root_label).- category_source
Source of the category label (e.g., "ontology").
Source
Generated from the ISGlobal Exposome Data Challenge 2021
using the ont_annot_app() tool in the tidyexposomics package.
Examples
data(annotated_cb)
dplyr::glimpse(annotated_cb)
#> Rows: 98
#> Columns: 12
#> $ variable <chr> "h_pm10_ratio_preg_None", "h_pm25_ratio_preg_N…
#> $ period <chr> "Pregnancy", "Pregnancy", "Postnatal", "Postna…
#> $ location <chr> "Home", "Home", "Home", "Home", "Home", "Home"…
#> $ description <chr> "pm10 value (extrapolated back in time using r…
#> $ var_type <chr> "numeric", "numeric", "numeric", "numeric", "n…
#> $ transformation <chr> "None", "None", "None", "None", "None", "None"…
#> $ selected_ontology_label <chr> "respirable suspended particulate matter", "fi…
#> $ selected_ontology_id <chr> "ENVO:01000405", "ENVO:01000415", "ENVO:010004…
#> $ root_id <chr> "ENVO:00010505", "ENVO:00010505", "ENVO:000105…
#> $ root_label <chr> "aerosol", "aerosol", "aerosol", "aerosol", "a…
#> $ category <chr> "aerosol", "aerosol", "aerosol", "aerosol", "a…
#> $ category_source <chr> "ontology", "ontology", "ontology", "ontology"…