Ziphius cavirostris
Cuvier's Beaked Whale
Cuvier's beaked whale, goose-beaked whale, or ziphius is the most widely distributed of all beaked whales in the family Ziphiidae. It is among the largest beaked whales but smaller than most baleen whales, reaching lengths of about 4.5–8 metres (15–26 ft) and weights of 1,800–3,100 kg (4,000–6,800 lb).W CalCOFI holds 19 observations of it in 1 dataset between 1990 and 2019.R
- 19
- observations
- 19
- records
- 19
- sampling events
- 1990–2019
- years
- 1
- datasets
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.
-
name used: Ziphius cavirostris Cuvier's Beaked Whale · code
CBWH
How big is iti
Every mark is a measured length with its own source — hover one to read it.
The reference objects are _data/size_reference.csv: two of them,
the 505 µm bongo mesh and the net's ring, are CalCOFI's own sampling gear.
i
Every mark is a measured length with its own source — hover one to read it. The reference objects are _data/size_reference.csv: two of them, the 505 µm bongo mesh and the net's ring, are CalCOFI's own sampling gear.
Groups
calcofi:marine_mammals
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 == "worms:137127")
import calcofi4py as cc
con = cc.cc_get_db()
con.sql("SELECT * FROM obs_bio WHERE taxon_key = 'worms:137127'").df()