Species Sensitivity Data from the EnviroTox Database

A named list containing Species Sensitivity Distribution (SSD) datasets derived from the EnviroTox database 2.0.0 Connors KA, Beasley A, Barron MG, Belanger SE, Bonnell M, Brill JL, de Zwart D, Kienzler A, Krailler J, Otter R, Phillips JL, Embry MR (2019). “Creation of a Curated Aquatic Toxicology Database: EnviroTox.” Environmental Toxicology and Chemistry, 38(5), 1062–1073. doi:10.1002/etc.4382 . .

Usage

envirotox_data

Format

A named list with three elements:

acute: A tibble with 14,949 rows and 6 columns of acute toxicity records (EC50/LC50). See envirotox_acute for full column descriptions.
chronic: A tibble with 1,721 rows and 5 columns of chronic toxicity records (NOEC/NOEL). See envirotox_chronic for full column descriptions.
chemical: A tibble with 744 rows and 2 columns mapping chemical names to CAS Registry Numbers. See envirotox_chemical for full column descriptions.

Source

https://envirotoxdatabase.org/

Details

The envirotox data contains SSD datasets from the EnviroTox database 2.0.0 (Connors et al. 2019). The datasets are provided for assessing general patterns in SSD data and for testing code. The datasets should not be used to draw any conclusions about the toxicity of individual chemicals.

The data are aggregated following the code provided by Yanagihara M, Hiki K, Iwasaki Y (2024). “Which distribution to choose for deriving a species sensitivity distribution? Implications from analysis of acute and chronic ecotoxicity data.” Ecotoxicology and Environmental Safety, 278, 116379. doi:10.1016/j.ecoenv.2024.116379 . with three exceptions: the datasets also include chemicals with (1) a bimodality coefficient > 0.555, (2) between six and nine species, and (3) two trophic groups.

The logical column Yanagihara24 in $acute and $chronic indicates which chemicals meet the original criteria of Yanagihara et al. (2024): bimodality coefficient <= 0.555, at least 10 species, and at least three trophic groups.

The logical column Iwasaki25 in $acute indicates which chemicals were included in the analysis of Iwasaki Y, Yanagihara M (2025). “Comparison of model-averaging and single-distribution approaches to estimating species sensitivity distributions and hazardous concentrations for 5\% of species.” Environmental Toxicology and Chemistry, 44(3), 834–840. doi:10.1093/etojnl/vgae060 . : more than 50 species and at least three trophic groups, excluding certain metals.

The full reproducible workflow to generate the three component datasets is in data-raw/envirotox/DATASET.R.

References

Connors KA, Beasley A, Barron MG, Belanger SE, Bonnell M, Brill JL, de Zwart D, Kienzler A, Krailler J, Otter R, Phillips JL, Embry MR (2019). “Creation of a Curated Aquatic Toxicology Database: EnviroTox.” Environmental Toxicology and Chemistry, 38(5), 1062–1073. doi:10.1002/etc.4382 .

Yanagihara M, Hiki K, Iwasaki Y (2024). “Which distribution to choose for deriving a species sensitivity distribution? Implications from analysis of acute and chronic ecotoxicity data.” Ecotoxicology and Environmental Safety, 278, 116379. doi:10.1016/j.ecoenv.2024.116379 .

Iwasaki Y, Yanagihara M (2025). “Comparison of model-averaging and single-distribution approaches to estimating species sensitivity distributions and hazardous concentrations for 5\% of species.” Environmental Toxicology and Chemistry, 44(3), 834–840. doi:10.1093/etojnl/vgae060 .

Examples


data("envirotox_data")
names(envirotox_data)
#> [1] "acute"    "chronic"  "chemical"
head(envirotox_data$acute)
#> # A tibble: 6 × 7
#>   Chemical              Conc Species         Group Yanagihara24 Iwasaki25 Medium
#>   <chr>                <dbl> <chr>           <chr> <lgl>        <lgl>     <chr> 
#> 1 (+/-)-cis-Permethrin  0.36 Culex quinquef… Inve… FALSE        FALSE     Unkno…
#> 2 (+/-)-cis-Permethrin  5    Cyprinodon mac… Fish  FALSE        FALSE     Unkno…
#> 3 (+/-)-cis-Permethrin 13    Gambusia affin… Fish  FALSE        FALSE     Unkno…
#> 4 (+/-)-cis-Permethrin 13.2  Oncorhynchus m… Fish  FALSE        FALSE     Unkno…
#> 5 (+/-)-cis-Permethrin  5.6  Oreochromis mo… Fish  FALSE        FALSE     Unkno…
#> 6 (+/-)-cis-Permethrin 38    Oryzias latipes Fish  FALSE        FALSE     Unkno…
head(envirotox_data$chronic)
#> # A tibble: 6 × 6
#>   Chemical                 Conc Species                Group Yanagihara24 Medium
#>   <chr>                   <dbl> <chr>                  <chr> <lgl>        <chr> 
#> 1 1,2,4-Trichlorobenzene   85.4 Americamysis bahia     Inve… FALSE        Unkno…
#> 2 1,2,4-Trichlorobenzene  264.  Daphnia magna          Inve… FALSE        Unkno…
#> 3 1,2,4-Trichlorobenzene  410.  Oncorhynchus mykiss    Fish  FALSE        Unkno…
#> 4 1,2,4-Trichlorobenzene  260   Oryzias latipes        Fish  FALSE        Unkno…
#> 5 1,2,4-Trichlorobenzene  417.  Pimephales promelas    Fish  FALSE        Unkno…
#> 6 1,2,4-Trichlorobenzene 1483.  Raphidocelis subcapit… Algae FALSE        Unkno…
head(envirotox_data$chemical)
#> # A tibble: 6 × 2
#>   Chemical                  OriginalCAS
#>   <chr>                           <int>
#> 1 (+/-)-cis-Permethrin         61949766
#> 2 (2R,6S)-Fenpropimorph        67564914
#> 3 1,1,1-Trichloroethane           71556
#> 4 1,1,2,2-Tetrachloroethane       79345
#> 5 1,1,2-Trichloroethane           79005
#> 6 1,1-Dichloroethylene            75354