Get metadata on CAS datasets from different occurrence data providers
library("dplyr") library("rgbif")
x <- rgbif::datasets(query = "CAS") dat <- x$data[grep("^CAS", x$data$title), ]
the keys
dat$key #> [1] "6ce7290f-47f6-4046-8356-371f5b6749df" #> [2] "4f29b6ab-20c0-4479-8795-4915bedcebd1" #> [3] "f934f8e2-32ca-46a7-b2f8-b032a4740454" #> [4] "5d6c10bd-ea31-4363-8b79-58c96d859f5b" #> [5] "14f3151a-e95d-493c-a40d-d9938ef62954" #> [6] "44bcde48-ac71-46f2-bf73-24fc3c008b6c" #> [7] "cece4fc2-1fec-4bb5-a335-7252548e3f0b"
in context
dat %>% select(title, key, doi) #> title key #> 4 CAS Mammalogy (MAM) 6ce7290f-47f6-4046-8356-371f5b6749df #> 5 CAS Ornithology (ORN) 4f29b6ab-20c0-4479-8795-4915bedcebd1 #> 6 CAS Botany (BOT) f934f8e2-32ca-46a7-b2f8-b032a4740454 #> 7 CAS Ichthyology (ICH) 5d6c10bd-ea31-4363-8b79-58c96d859f5b #> 11 CAS Entomology (ENT) 14f3151a-e95d-493c-a40d-d9938ef62954 #> 13 CAS Invertebrate Zoology (IZ) 44bcde48-ac71-46f2-bf73-24fc3c008b6c #> 14 CAS Herpetology (HERP) cece4fc2-1fec-4bb5-a335-7252548e3f0b #> doi #> 4 doi:10.15468/dhbozg #> 5 doi:10.15468/ozz2u5 #> 6 doi:10.15468/7gudyo #> 7 doi:10.15468/efh2ib #> 11 doi:10.15468/3ibpmo #> 13 doi:10.15468/tiac99 #> 14 doi:10.15468/bvoyqy
the CAS dataset identifiers are also included in this package, see ?gbif_datasets
There's no easy way to get iDigBio dataset identifers from their API, so we've included a dataset in the package with the identifiers for each dataset - some datasets have many identifiers.
idigbio_recordsets #> $entomology #> [1] "87c45c90-ba1d-409e-a9d7-9baf5a5cbb1c" #> [2] "ded380b5-1ba2-4089-8e0c-0aa1b4140785" #> #> $herpetology #> [1] "51b958bb-9d5f-48d7-9a97-e372c0c747c3" #> #> $ichthyology #> [1] "beb74dc2-22ea-49e4-b1e3-bedb8e06e8f2" #> #> $`invertebrate zoology & geology` #> [1] "bd61c458-b865-4b05-9f1f-735c49066e55" #> #> $ornithology #> [1] "b8cbed64-5126-46bd-97aa-43627743aba7" #> #> $mammalogy #> [1] "14a8f79f-eab7-48da-ad50-bda142703820" #> #> $botany #> [1] "1ffce054-8e3e-4209-9ff4-c26fa6c24c2f" #> [2] "8dc14464-57b3-423e-8cb0-950ab8f36b6f" #> [3] "26f7cbde-fbcb-4500-80a9-a99daa0ead9d"
just botany
idigbio_recordsets$botany #> [1] "1ffce054-8e3e-4209-9ff4-c26fa6c24c2f" #> [2] "8dc14464-57b3-423e-8cb0-950ab8f36b6f" #> [3] "26f7cbde-fbcb-4500-80a9-a99daa0ead9d"
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