Measurement · Physical Oceanography · ml/L

DO sensor 2 (uncorrected)

The registry carries no authored label for this measurement, so the name above is the canonical series' own description in metadata/measurement_type.csv (variable.csv holds the authored labels, five today).

NERC P01 DOXYZZXXP06 units UMLL ml/Lkey oxygen_ml_l_2 series oxygen_ml_l_2

347,571
values: 94
flagged: 5,061
sampling events: 1999–2026
years: 1
dataset: 1–3,630 m
depth: Jan · Feb · Mar · Apr · May · Jun · Jul · Aug · Oct · Nov
seasons

Heads-up 94 of these 347,571 values (under 0.1 %) are flagged by their provider as questionable or bad. The Explorer, the climatology and its anomalies leave them out; do the same when you read the data yourself (cc_qual_ok_sql() in calcofi4r, qual_ok_sql() in calcofi4py).

Measured in

CTD Cast Files 347,571 values · 5,061 sampling events · 1999–2026 · 1–3,630 m · 90 grid cells · 69 cruises

series oxygen_ml_l_2 · source column ox2 · flag column ox2q 94 flagged

One row per series, one cell per year, darker with more values — the same strip the front door draws per dataset and a species page draws per taxon. Each row is one dataset's own measurement_type; the label is written once, in the title above.

By depth

Values per depth band at the release grain, one thin bar per series. The bands are the record's own (0-10 … 2000+ m).

By month

Values per calendar month, one row per series: CalCOFI's quarterly cruises show as peaks in the months the ships sail.

Range & quality

bounds: The registry declares 0 … 15 ml/L for oxygen_ml_l_2; a value outside it is dropped at the ingest (drop_out_of_bounds()).
observed: CTD Cast Files oxygen_ml_l_2 0.0002 · median 2.368 · 14.57 ml/L (5th–95th percentile 0.3565–5.728)
flags: CTD Cast Files oxygen_ml_l_2 ox2q on 94 of 347,571 rows: 8 44 · 9 50; qual_ok keeps 347,477. The codes are this dataset's own vocabulary, uninterpreted.
baseline: A monthly climatology exists for this measurement (the release's climatology table: 1993–2013, dataset × grid cell × calendar month × 10 m bin), so the Explorer can draw anomalies against it rather than values.

Related measurements

Bottle dissolved oxygen oxygen_btl_ml_l · CTD Cast Files · 1993–2025 · 141,750 values · P01 DOXYZZXX the same quantity from the CTD files' own bottle samples — plausibly the same physical bottles, so merging them would count the bottle dataset twice
Dissolved oxygen (ml/L) oxygen_ml_l · oxygen_ml_l_ave_sta_corr · Hydrographic Bottle · CTD Cast Files · 1949–2025 · 1,283,703 values · P01 DOXYZZXX one sensor of the pair beside the mean the file publishes
DO sensor 1 (uncorrected) oxygen_ml_l_1 · CTD Cast Files · 1993–2026 · 688,823 values · P01 DOXYZZXX the other sensor of the pair, logged alongside
DO sensor 1 cruise-corrected oxygen_ml_l_1_cruise_corr · CTD Cast Files · 1993–2025 · 667,096 values · P01 DOXYZZXX the other sensor of the pair, logged alongside
DO sensor 1 station-corrected oxygen_ml_l_1_sta_corr · CTD Cast Files · 1993–2025 · 652,528 values · P01 DOXYZZXX the other sensor of the pair, logged alongside
DO sensor 2 cruise-corrected oxygen_ml_l_2_cruise_corr · CTD Cast Files · 1999–2025 · 325,470 values · P01 DOXYZZXX the other sensor of the pair, logged alongside
DO sensor 2 station-corrected oxygen_ml_l_2_sta_corr · CTD Cast Files · 1999–2025 · 320,701 values · P01 DOXYZZXX the other sensor of the pair, logged alongside

The same quantity from another platform or another kind of sample, each its own page and never merged into this one: a dataset's own bottle samples would count that dataset twice, an underway intake is not a cast, and a replicate is not a mean. The reason is the record's (related[].why).

Ways in

Explorermaps, sections and time series of this measurement — opens prefilled
https://calcofi.io/explore/?var=oxygen_ml_l_2
Explorer · a depth section vs normalthe newest cruise's section against the climatology baseline
https://calcofi.io/explore/?lens=section&var=oxygen_ml_l_2&anom=1
db-querySQL in your browser — the shell opens with this query
https://calcofi.io/db-query/?sql=SELECT+%2A+FROM+__TBL%3Aobs_env__+WHERE+measurement_type+%3D+%27oxygen_ml_l_2%27+LIMIT+100%3B
ERDDAP · CTD Cast FilesCalCOFI's own server, the CTD Cast Files table constrained to this series
https://erddap.calcofi.io/erddap/tabledap/calcofi_ctd-cast.html?&measurement_type=%22oxygen_ml_l_2%22
Parquetobs_env is partitioned by measurement_type in the content-addressed store — resolved through the release catalog, never a path built by hand
```
SELECT * FROM read_json('…/v2026.09.10/catalog.json')
-- objects[] WHERE table = 'obs_env'
--   AND partition_value = 'oxygen_ml_l_2'
```

library(calcofi4r)
con <- cc_get_db()                      # the promoted release
tbl(con, "obs_env") |> filter(measurement_type %in% c("oxygen_ml_l_2"))

Python

import calcofi4py as cc
con = cc.cc_get_db()
con.sql("SELECT * FROM obs_env WHERE measurement_type IN ('oxygen_ml_l_2')").df()

This page as data

JSONthis measurement's entry of the release record, verbatim
https://calcofi.io/measurements/oxygen_ml_l_2.json

Read from measurements.json of release v2026.09.10, written at release by calcofi4db::build_measurements_catalog() beside taxa.json. The catalog's index is /measurements/; the JSON-LD on this page is a schema.org/DefinedTerm in the NERC P01 term set with a PropertyValue per series.

Cite

Cite the release; each dataset's own citation, licence and DOI are on its page — CTD Cast Files. The Explorer's Share → Cite writes it for the view you make.