Applications of remote sensing for biodiversity conservation typically rely on image classifications that do not capture variability within coarse land cover classes. Here, we compare two measures der
A dataset containing 50 species occurrences available in GBIF matching the query: { "TaxonKey" : [ "is Cetopsis oliveirai (Lundberg & Rapp Py-Daniel, 1994)" ] } The dataset includes 50 record
A dataset containing 124671 species occurrences available in GBIF matching the query: { "and" : [ "Continent is Africa", "TaxonKey is Falconiformes" ] } The dataset includes 124671 records from
A dataset containing 3802 species occurrences available in GBIF matching the query: { "and" : [ "Country is Colombia", "Geometry POLYGON((-75.10803 8.70117,-73.55896 8.70117,-73.55896 11.48071,-75.
A dataset containing 3085223 species occurrences available in GBIF matching the query: { "and" : [ { "or" : [ "BasisOfRecord is Specimen", "BasisOfRecord is Literature Occurrence" ] }, "HasCoo
