Cyclothone
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).
Cyclothone is a genus containing 13 extant species of bioluminescent fish, commonly known as 'bristlemouths' or 'bristlefishes' due to their shared characteristic of sharp, bristle-like teeth. These fishes typically grow to around 1–3 inches (25–76 mm), though some can be larger.W CalCOFI holds 10,874 observations of it in 2 datasets between 1951 and 2023, as larva, across 5 taxa under it.R
- 10,874
- observations
- 10,874
- records
- 4,455
- sampling events
- 1951–2023
- years
- 2
- datasets
- 4
- species under it
- larva
- life stages
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: Cyclothone · code
76 -
name used: Cyclothone sp. · code
Cyclothone sp.sp. → genus
Under it · 4 taxa
- sp Cyclothone signata Showy bristlemouth5,568
- sp Cyclothone acclinidens Benttooth bristlemouth736
- sp Cyclothone pseudopallida Slender bristlemouth111
- sp Cyclothone atraria Black bristlemouth4
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:126187")
import calcofi4py as cc
con = cc.cc_get_db()
con.sql("SELECT * FROM obs_bio WHERE taxon_key = 'worms:126187'").df()