Skip to contents

Data for environmental risk assessment of plant protection products

Usage

derappp

Format

A number of tables collected in a dm::dm object

Examples

library(derappp)
library(dplyr, warn.conflicts = FALSE)
dm::dm_draw(derappp)
%0

aquatic_test_systemsaquatic_test_systemstest_systemaquatic_toxicityaquatic_toxicitysubstancetest_systemlife_stageeffectlevelskreported_speciesaquatic_toxicity:test_system->aquatic_test_systems:test_systemeffect_levelseffect_levelslevelaquatic_toxicity:level->effect_levels:leveleffectseffectseffectaquatic_toxicity:effect->effects:effectlife_stageslife_stageslife_stageaquatic_toxicity:life_stage->life_stages:life_stagesourcessourcesskaquatic_toxicity:sk->sources:skspeciesspeciesspeciesaquatic_toxicity:reported_species->species:speciessubstancessubstancessubstanceaquatic_toxicity:substance->substances:substancechentschentschentsmilespubcheminchikeycwsatcwsatsubstanceskcwsat:sk->sources:skcwsat:substance->substances:substancehydrolysishydrolysissubstanceskhydrolysis:sk->sources:skhydrolysis:substance->substances:substancep0p0substanceskp0:sk->sources:skp0:substance->substances:substancesoil_degradationsoil_degradationsubstancesksoil_degradation:sk->sources:sksoil_degradation:substance->substances:substancesoil_sorptionsoil_sorptionsubstancesksoil_sorption:sk->sources:sksoil_sorption:substance->substances:substancesoil_toxicitysoil_toxicitysubstancereported_specieseffectlevelsksoil_toxicity:level->effect_levels:levelsoil_toxicity:effect->effects:effectsoil_toxicity:sk->sources:sksoil_toxicity:reported_species->species:speciessoil_toxicity:substance->substances:substancesubstance_compositionssubstance_compositionssubstancechentsubstance_compositions:chent->chents:chentsubstance_compositions:substance->substances:substancesubstance_keyssubstance_keyssubstancesubstance_keys:substance->substances:substance
# The list of chemical entities ("chents")
derappp$chents
#> # A tibble: 378 × 8
#>    chent                 ai    iso      mw smiles pubchem inchikey bcpc_activity
#>    <chr>                 <lgl> <chr> <dbl> <chr>    <int> <chr>    <chr>        
#>  1 (10Z)-Heptadec-10-en… TRUE  NA    308.  "CCCC… NA      NA       NA           
#>  2 (11Z)-Eicos-11-enoic… TRUE  NA    350.  "CCCC… NA      NA       NA           
#>  3 (9Z)-Hexadec-9-enoic… TRUE  NA    294.  "CCCC… NA      NA       NA           
#>  4 (9Z)-Octadec-9-enoic… TRUE  NA    322.  "CCCC…  2.08e7 MLICVSD… NA           
#>  5 (9Z,12Z)-Octadeca-9,… TRUE  NA    320.  "CCCC… NA      NA       NA           
#>  6 (9Z,12Z,15Z)-Octadec… TRUE  NA    318.  "CC/C… NA      NA       NA           
#>  7 1-Decanol             TRUE  NA    158.  "CCCC…  8.17e3 MWKFXSU… NA           
#>  8 1-Methylcyclopropene  TRUE  NA     54.1 "CC1=…  1.51e5 SHDPRTQ… plant growth…
#>  9 1-Naphthylacetic acid TRUE  NA    186.  "C1=C…  6.86e3 PRPINYU… NA           
#> 10 1-Naphthylacetic aci… TRUE  NA    208.  "C1=C…  2.37e7 CJUUXVF… NA           
#> # ℹ 368 more rows

# Some vapor pressures and water solubilities
# We need to convert to °C if we do not want Kelvin
library(units)
#> udunits database from /usr/share/xml/udunits/udunits2.xml
derappp$p0[1:2, ] |>
  mutate(T = set_units(T, "°C"))
#> # A tibble: 2 × 8
#>   substance   sign           p0    T purity sk                     page comment
#>   <chr>       <lgl>        [Pa] [°C] <chr>  <chr>                 <int> <chr>  
#> 1 Acetamiprid NA    0.000000173   50 ≥99.9% j.efsa.2016.4610_LoEP     2 NA     
#> 2 Captan      NA    0.0000042     20 99.8%  j.efsa.2020.6230_LoEP     3 NA     
derappp$p0[1, ] |>
  left_join(derappp$sources, by = "sk") |>
  select(substance, p0, T, reference)
#> # A tibble: 1 × 4
#>   substance            p0    T reference                                        
#>   <chr>              [Pa]  [K] <chr>                                            
#> 1 Acetamiprid 0.000000173 323. "EFSA. _Appendix to: Peer review of the pesticid…

derappp$cwsat[1:3, ] |>
  left_join(derappp$sources, by = "sk") |>
  select(substance, cwsat, T, pH, reference) |>
  mutate(cwsat = set_units(cwsat, "g/L")) |>
  mutate(T = set_units(T, "°C"))
#> # A tibble: 3 × 5
#>   substance   cwsat    T    pH reference                                        
#>   <chr>       [g/L] [°C] <dbl> <chr>                                            
#> 1 Acetamiprid  4.25   25     5 "EFSA. _Appendix to: Peer review of the pesticid…
#> 2 Acetamiprid  2.95   25     7 "EFSA. _Appendix to: Peer review of the pesticid…
#> 3 Acetamiprid  3.96   25     9 "EFSA. _Appendix to: Peer review of the pesticid…

# Join names used in the Swiss register
derappp$chents |>
  left_join(derappp$substance_keys, by = c(chent = "substance")) |>
  filter(db == "srppp") |>
  left_join(srppphist::srppp_active_substances, by = c(key = "pk")) |>
  select(chent, iso, smiles, substance_de)
#> # A tibble: 382 × 4
#>    chent                    iso   smiles                           substance_de 
#>    <chr>                    <chr> <chr>                            <chr>        
#>  1 1-Decanol                NA    CCCCCCCCCCO                      1-Decanol    
#>  2 1-Decanol                NA    CCCCCCCCCCO                      1-Decanol    
#>  3 1-Naphthylacetic acid    NA    C1=CC=C2C(=C1)C=CC=C2CC(=O)O     1-Naphthylac…
#>  4 1-Naphthylacetic acid    NA    C1=CC=C2C(=C1)C=CC=C2CC(=O)O     1-Naphthylac…
#>  5 2,4-D                    2,4-D C1=CC(=C(C=C1Cl)Cl)OCC(=O)O      2,4-D        
#>  6 2,4-D                    2,4-D C1=CC(=C(C=C1Cl)Cl)OCC(=O)O      2,4-D        
#>  7 2-(1-Naphthyl) acetamide NA    C1=CC=C2C(=C1)C=CC=C2CC(=O)N     2-(1-naphthy…
#>  8 2-(1-Naphthyl) acetamide NA    C1=CC=C2C(=C1)C=CC=C2CC(=O)N     1-Naphthylac…
#>  9 2-(1-Naphthyl) acetamide NA    C1=CC=C2C(=C1)C=CC=C2CC(=O)N     1-Naphthylac…
#> 10 6-Benzyladenine          NA    C1=CC=C(C=C1)CNC2=NC=NC3=C2NC=N3 6-benzyladen…
#> # ℹ 372 more rows

# Show some soil sorption data with units, use percent for readability
derappp$soil_sorption |>
  filter(substance %in% c("Acetamiprid", "Captan", "Copper", "Cyprodinil")) |>
  mutate(f_oc = set_units(f_oc, "%")) |>
  select(substance, soil_pH, f_oc, Koc, Kfoc, n, sk, selected, reason) |>
  print(n = Inf)
#> # A tibble: 10 × 9
#>    substance   soil_pH  f_oc    Koc   Kfoc     n sk              selected reason
#>    <chr>         <dbl>   [%] [L/kg] [L/kg] <dbl> <chr>           <lgl>    <chr> 
#>  1 Acetamiprid     5.7  0.43   NA    138.     NA j.efsa.2016.46… NA       EFSA …
#>  2 Acetamiprid     7.6  1.04   NA    130.     NA j.efsa.2016.46… NA       EFSA …
#>  3 Acetamiprid     7.1  1.57   NA     71.1    NA j.efsa.2016.46… NA       EFSA …
#>  4 Acetamiprid     7.7  1.39   NA    122.     NA j.efsa.2016.46… NA       EFSA …
#>  5 Acetamiprid     7.1  4.39   NA     71.4    NA j.efsa.2016.46… NA       EFSA …
#>  6 Captan         NA   NA      76.8   NA       6 j.efsa.2020.62… NA       EFSA …
#>  7 Cyprodinil      5.6 NA      NA   2098.     NA j.efsa.2025.92… NA       EFSA …
#>  8 Cyprodinil      6.7 NA      NA   1794.     NA j.efsa.2025.92… NA       EFSA …
#>  9 Cyprodinil      7.3 NA      NA   1593      NA j.efsa.2025.92… NA       EFSA …
#> 10 Cyprodinil      7   NA      NA   1678.     NA j.efsa.2025.92… NA       EFSA …

# Show some soil degradation data with units
derappp$soil_degradation |>
  select(substance, DT50, kinetics, alpha, beta, k1, k2, g, tb, sk) |>
  print(n = 10)
#> # A tibble: 91 × 10
#>    substance       DT50 kinetics alpha  beta      k1       k2   g  tb sk        
#>    <chr>            [d] <chr>      [1] [1/d]   [1/d]    [1/d] [1] [d] <chr>     
#>  1 Amisulbrom      12.6 SFO      NA     NA   NA      NA        NA  NA j.efsa.20…
#>  2 Azoxystrobin   262   SFO      NA     NA   NA      NA        NA  NA j.efsa.20…
#>  3 Benalaxyl      128.  SFO      NA     NA   NA      NA        NA  NA j.efsa.20…
#>  4 Bixafen       3014   HS       NA     NA    0.0081  0.00023  NA  53 j.efsa.20…
#>  5 Boscalid       227.  SFO      NA     NA   NA      NA        NA  NA Boscalid_…
#>  6 Bupirimate     119.  FOMC      1.12  58.4 NA      NA        NA  NA j.efsa.20…
#>  7 Buprofezin     166.  SFO      NA     NA   NA      NA        NA  NA j.efsa.20…
#>  8 Carbendazim     78   SFO      NA     NA   NA      NA        NA  NA j.efsa.20…
#>  9 Chloridazon     78.5 SFO      NA     NA   NA      NA        NA  NA j.efsa.20…
#> 10 Chlorotoluron  107.  SFO      NA     NA   NA      NA        NA  NA Chlorotol…
#> # ℹ 81 more rows

# Some aquatic toxicity data with units
head(derappp$aquatic_toxicity) |>
  select(substance, formulation, derappp_species, duration, effect, level, sign, value)
#> # A tibble: 6 × 8
#>   substance        formulation derappp_species duration effect level sign  value
#>   <chr>            <chr>       <chr>                [d] <chr>  <chr> <chr> [mg/
#> 1 1-Naphthylaceti… NA          Cyprinus carpio        4 morta… EC50  >        56
#> 2 1-Naphthylaceti… NA          Cyprinus carpio        4 morta… EC50  <       100
#> 3 1-Naphthylaceti… 1-Naphthyl… Cyprinus carpio        4 morta… EC50  >        82
#> 4 1-Naphthylaceti… NA          Oncorhynchus m…        4 morta… EC50  =        75
#> 5 1-Naphthylaceti… Spollonant… Oncorhynchus m…        4 morta… EC50  =        37
#> 6 1-Naphthylaceti… NA          Oncorhynchus m…       28 growth NOEC  =        10

# Species groupings and taxonomic IDs
derappp$species
#> # A tibble: 204 × 7
#>    species      group derappp_species ott_id is_synonym flags salt_water_species
#>    <chr>        <chr> <chr>            <int> <lgl>      <chr> <lgl>             
#>  1 Acipenser t… Fish  Acipenser tran… 3.79e5 FALSE      ""    FALSE             
#>  2 Americamysi… Aqua… Americamysis b… 3.34e5 FALSE      ""    TRUE              
#>  3 American fl… Fish  Jordanella flo… 8.23e4 FALSE      ""    FALSE             
#>  4 American wa… Aqua… Elodea canaden… 1.07e6 FALSE      ""    FALSE             
#>  5 Amphiascus … Aqua… Amphiascus ten… 5.95e5 FALSE      ""    FALSE             
#>  6 Anabaena fl… Aqua… Dolichospermum… 3.69e5 FALSE      "sib… FALSE             
#>  7 Anabaena fl… Aqua… Dolichospermum… 3.69e5 FALSE      "sib… FALSE             
#>  8 Anabaena va… Aqua… Trichormus var… 5.24e5 TRUE       "inc… FALSE             
#>  9 Ankistrodes… Aqua… Ankistrodesmus… 7.28e5 FALSE      ""    FALSE             
#> 10 Aphanizomen… Aqua… Aphanizomenon … 8.94e5 FALSE      "sib… FALSE             
#> # ℹ 194 more rows