Ardenna
Dark Shearwater
Size · not on record: no authority the fetcher reads carries a length for this taxon (a genus page could show the range of its species).
Ardenna is a genus of seabirds in the family Procellariidae. These medium-sized to large shearwater species were formerly included in the genus Puffinus.W CalCOFI holds 7,817 observations of it in 1 dataset between 1987 and 2022, across 7 taxa under it.R
- 7,817
- observations
- 7,817
- records
- 499
- sampling events
- 1987–2022
- years
- 1
- datasets
- 6
- species under it
Observed ini
One row per dataset, one cell per year, darker with more observations — the same strip the front
door draws per dataset. Each row ends with the name that dataset uses (dataset_taxon);
the accepted name is written once, in the title above. A quiet pill marks a name the authority does not accept.
i
One row per dataset, one cell per year, darker with more observations — the same strip the front door draws per dataset. Each row ends with the name that dataset uses (dataset_taxon); the accepted name is written once, in the title above. A quiet pill marks a name the authority does not accept.
-
no name in this dataset · code
DKSHcode only
Under it · 6 taxa
- sp Ardenna grisea Sooty Shearwater4,450
- sp Ardenna creatopus Pink-Footed Shearwater2,329
- sp Ardenna bulleri Buller's Shearwater335
- sp Ardenna tenuirostris Short-Tailed / Slender-Billed Shearwater152
- sp Ardenna carneipes Flesh-Footed Shearwater39
- sp Ardenna pacifica Wedge-Tailed Shearwater13
Groups
calcofi:seabirds
Ways ini
Read from taxa.json of release
v2026.09.11, written at release
by calcofi4db::build_taxa_catalog(). The catalog's index is
/species/.
Explorerdb-queryi
Read from taxa.json of release v2026.09.11, written at release by calcofi4db::build_taxa_catalog(). The catalog's index is /species/.
library(calcofi4r) con <- cc_get_db() # the promoted release tbl(con, "obs_bio") |> filter(taxon_key == "itis:1255018")
import calcofi4py as cc
con = cc.cc_get_db()
con.sql("SELECT * FROM obs_bio WHERE taxon_key = 'itis:1255018'").df()