Bottle Derived Products
CalCOFI Bottle Derived Hydrographic Products
calcofi_bottle-derivedCalCOFIunstatedin the release since v2026.10.20
Hydrographic values DERIVED from the CalCOFI Bottle Database rather than measured: spice (spiciness at 0 dbar) and the TEOS-10 sigma-theta at every bottle with a temperature and a salinity, from the start of the record … CalCOFI holds 1,683,346 observations from 34,790 sampling events at 222 stations, 1949–2021, 0–5,351 m.
- 1949–2021
- years
- 1,683,346
- observations
- 34,790
- sampling events
- 222
- stations
- 2
- variables
- 0–5,351 m
- depth
What this is
Hydrographic values DERIVED from the CalCOFI Bottle Database rather than measured: spice (spiciness at 0 dbar) and the TEOS-10 sigma-theta at every bottle with a temperature and a salinity, from the start of the record in 1949, computed from each bottle’s own temperature and salinity after the provider’s quality flags are applied. The bottle database’s own sigma-theta, computed by the legacy DECODR software, stays in the CalCOFI Bottle Database beside it.
What is in it
2 variables · sigma_theta_teos10, spiciness0 units and counts
obs_env profile · one value at each depth of a cast · 1,683,346 values · 1949–2021 · 2 variables
Every month of the year · extent 18.4–47.9°N, 164.1–106.0°W · 1949-02 to 2021-02
Ways in
Explorerdb-queryOriginal at CalCOFI.orgParquetSTACIngest notebookAs JSON
Every endpoint 21 · explore 4, get the data 2, code 4, metadata records 5, archives & portals 6
Every endpoint this dataset can be reached through, grouped by how you would use it. Each name is the link; the copy button beside it copies the address. Everything is in the release record and was answered when the release was cut.
Apps that read this dataset from the release. The icons after a name are the app’s lenses — the spatial grain it shows the data at.
Every way to have the bytes, by source. Nothing here asks you to register first.
Tables from the release (Parquet)
The release’s own tables, as the parquet objects it is frozen from — the same bytes every app and package below reads. A table this dataset shares with others holds every dataset’s rows, so filter on dataset_key; a partition holds only this dataset’s. since is the release whose rows these are: an unchanged table keeps its object.
From the provider
The dataset as its provider publishes it, before CalCOFI ingested it.
The same release, from a script or a browser SQL shell.
Packages
The whole release, pinned to a version, with the citation one call away.
con <- calcofi4r::cc_get_db()
calcofi4r::cc_cite("calcofi_bottle-derived")
con = calcofi4py.cc_get_db()
calcofi4py.cc_cite("calcofi_bottle-derived")
DuckDB, anywhere
No CalCOFI package needed: each table above is a plain parquet object, readable by any DuckDB (or Arrow, pandas, Spark) from its URL. The path carries a content hash — a table whose rows did not change between releases keeps the same object, so nothing unchanged is stored or downloaded twice. Swap in any table above; one shared with other datasets needs WHERE dataset_key = 'calcofi_bottle-derived'. Every object of every release is listed in db-schema.
SELECT *
FROM read_parquet('https://storage.googleapis.com/calcofi-db/ducklake/tables/obs/dataset_key=calcofi_bottle-derived/4f8d256e5eb2cfceb9d25495/data_0.parquet')
LIMIT 100;
db-query, in the browser
__TBL:obs__ is db-query’s name for the pinned release’s obs object — the hashed path above, resolved for you — so the same SQL keeps working when a release changes the object.
-- calcofi_bottle-derived in the CalCOFI release v2026.10.21
SELECT *
FROM __TBL:obs__
WHERE dataset_key = 'calcofi_bottle-derived'
LIMIT 100;
Records about the data, in the standards each portal harvests.
Where this dataset is registered outside calcofi.io: each portal’s role, what it is for, the dataset’s status there and the identifier it is known by. The policy — which portal is the archive of record and why — is in Portals.
Cite CalCOFI, 2026
This dataset's own citation. What to cite, and how, is a chapter of the docs book.
CalCOFI. (2026). CalCOFI Bottle Derived Hydrographic Products (from the CalCOFI Bottle Database 194903-202105). CalCOFI.io. https://calcofi.io/workflows/ingest_calcofi_bottle-derived.html
BibTeX
@misc{calcofi_bottle-derived,
title = {CalCOFI Bottle Derived Hydrographic Products},
howpublished = {CalCOFI. (2026). CalCOFI Bottle Derived Hydrographic Products (from the CalCOFI Bottle Database 194903-202105). CalCOFI.io. https://calcofi.io/workflows/ingest_calcofi_bottle-derived.html},
year = {2026}
}
…and the release it came from
CalCOFI (2026). CalCOFI Integrated Database, release v2026.10.21 [Data set]. Scripps Institution of Oceanography, NOAA Fisheries, and California Department of Fish and Wildlife. https://calcofi.io/db-schema/?v=v2026.10.21
BibTeX
@misc{calcofi_release_v2026_10_21,
title = {CalCOFI Integrated Database, release v2026.10.21},
author = {CalCOFI},
year = {2026},
publisher = {Scripps Institution of Oceanography, NOAA Fisheries, and California Department of Fish and Wildlife},
url = {https://calcofi.io/db-schema/?v=v2026.10.21}
}
Provenance source read 2026-10-21 · 2 release tables · 1 changed in v2026.10.21
Open questions for the provider 1 on this dataset · 4 open in all
- Q01 the dataset — proposed
Each is a field the record proposes and the provider has not yet confirmed.
Keywords 3 GCMD
DensityWater temperatureOcean salinity
Everything here is open; nothing on calcofi.io asks you to register first. If this dataset ends up in something you build or publish, register your use so it can be credited and linked back; to hear when a release changes it, stay informed. Questions: data@calcofi.io.