A dataset of 5000 flowering plant fossil occurrences as example for data of the paleobiology Database, downloaded using the paleobioDB packages as specified in the vignette “Cleaning_PBDB_fossils_with_CoordinateCleaner”.
Source
The Paleobiology database https://paleobiodb.org/
Sara Varela, Javier Gonzalez Hernandez and Luciano Fabris Sgarbi (2016). paleobioDB: Download and Process Data from the Paleobiology Database. R package version 0.5.0. https://CRAN.R-project.org/package=paleobioDB.
Examples
data(institutions)
str(institutions)
#> tibble [11,601 × 12] (S3: tbl_df/tbl/data.frame)
#> $ name : chr [1:11601] "A.N. Severtsov Institute of Ecology and Evolution, RUSSIAN ACADEMY OF SCIENCES" "Aarhus University" "Aarhus University, Science Museums" "Aathal Dinosaur Museum" ...
#> $ decimalLongitude : num [1:11601] 37.58 12.1 10.2 8.76 31.6 ...
#> $ decimalLatitude : num [1:11601] 55.7 55.7 56.2 47.3 40.7 ...
#> $ city : chr [1:11601] "Moscow" "Aarhus C" "Aarhus" "Aathal" ...
#> $ country : chr [1:11601] "RUS" "DNK" "DNK" "CHE" ...
#> $ address : chr [1:11601] NA NA NA NA ...
#> $ source : chr [1:11601] "GBIF" "grbioorg" "indexherbariorum" "wikipedia" ...
#> $ type : chr [1:11601] "Research_centre" "University" "Herbarium" "Museum" ...
#> $ geocoding.precision.m : num [1:11601] 1000 10 1000 1000 10 10 1000 1000 1000 10 ...
#> $ geocoding.issue : chr [1:11601] NA NA NA NA ...
#> $ geocoding.source : chr [1:11601] "RS" "automatic" "RS" "CD" ...
#> $ inside.ptoected.area.WDPAID: int [1:11601] NA NA NA NA NA NA NA NA 555575282 NA ...
#> - attr(*, "problems")= tibble [1 × 5] (S3: tbl_df/tbl/data.frame)
#> ..$ row : int 1547
#> ..$ col : chr "inside.ptoected.area.WDPAID"
#> ..$ expected: chr "no trailing characters"
#> ..$ actual : chr ".00E+03"
#> ..$ file : chr "'institutions.csv'"
#> - attr(*, "spec")=
#> .. cols(
#> .. name = col_character(),
#> .. decimallongitude = col_double(),
#> .. decimallatitude = col_double(),
#> .. city = col_character(),
#> .. country = col_character(),
#> .. address = col_character(),
#> .. source = col_character(),
#> .. type = col_character(),
#> .. geocoding.precision.m = col_double(),
#> .. geocoding.issue = col_character(),
#> .. geocoding.source = col_character(),
#> .. inside.ptoected.area.WDPAID = col_integer()
#> .. )