MétaCan
Menu
Back to cohort
Record W2210987883 · doi:10.3334/cdiac/otg.ndp091

The CARbon dioxide IN the Atlantic Ocean (CARINA) Database V1.1 2010 (NCEI Accession 0113899)

2012· dataset· en· W2210987883 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueHelmholtz Centre for Ocean Research Kiel (GEOMAR) · 2012
Typedataset
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

The CARINA (CARbon dioxide IN the Atlantic Ocean) data synthesis project is an international collaborative effort of the EU IP CARBOOCEAN, and US partners. It has produced a merged internally consistent dataset of open ocean subsurface measurements for biogeochemical investigations, in particular, studies involving the carbon system. The original focus area was the North Atlantic Ocean, but over time the geographic extent expanded and CARINA now includes data from the entire Atlantic, the Arctic Ocean, and the Southern Ocean. Atlantic Ocean Data Synthesis The Atlantic Ocean subset of the CARINA (CARINA-ATL) dataset consists of 98 cruises/entries, of which one of is a time series including many cruises and two others are collections of multiple cruises within the framework of a common project. Additionally, six reference cruises were included in the secondary QC for CARINA-ATL to ensure consistency between CARINA and historical databases, in particular Global Ocean Data Analysis Project (GLODAP, Key et al., 2004). Five Atlantic cruises are in common with the Southern Ocean region, and five others are in common with the Arctic Mediterranean Seas region. These overlapping cruises ensure consistency between the three regions of the CARINA data set. The Atlantic Ocean region of CARINA is loosely defined as the area between of the Greenland-Scotland Ridge and 30 °S, but as mentioned, ten cruises overlap with the surrounding regions, thus extending the area covered. Most of the data are from the subpolar North Atlantic, and there are particularly large data gaps in the Tropical and South-Eastern Atlantic Ocean. The CARINA-ATL database covers the time period from 1978 to 2006, with the majority of the data from the mid 1990s to the mid 2000s. Overall, oxygen measurements show the highest incidence, followed by TCO2, Alkalinity and CFC data, although CFC data are particularly abundant for some specific regions. Arctic Mediterranean Seas Data Synthesis The Arctic Mediterranean Seas subset of CARINA (CARINA-AMS) includes data from 62 cruises/campaigns in the Arctic Ocean and Nordic Seas. One of these is a time series and one is a collection of data from multiple cruises to the same area conducted within a year. Five of the CARINA-AMS entries are in common with the CARINA-ATL subset ensuring consistency with the other CARINA subsets and thus GLODAP. While data coverage was quite dense in the Nordic Seas, it was sparse in the Arctic Ocean. This motivated the use of different methods for quality control in these two areas. The Arctic Ocean was defined as the region north of the Fram and Bering Straits, the Arctic Ocean shelf seas, and the Canadian Archipelago. The Nordic Seas was defined as the region enclosed by the Fram Strait to the North, Greenland to the west, the Greenland-Scotland Ridge to the South, and Norway, the Barents Sea Opening, and Spitsbergen to the east. The analyses of the Arctic Ocean data involved extended use of linear and multiple linear regressions and is described by Jutterström et al. (2009), while the analyses of the Nordic Seas data was mostly carried out using the crossover and inversion approach and is described per parameter in Falck and Olsen (2009), Olafsson and Olsen (2009), Olsen (2009), Olsen (2009) and Olsen et al. (2009). The analyses of the AMS CFC data are described by Jeansson et al. (2009). Southern Ocean Carbon Synthesis Compared to other regions within the CARINA data set, the Southern Ocean database consists of relatively few data - 37 cruises. Five cruises in the northern part of the Atlantic sector of the Southern Ocean are in common with the CARINA-ATL, thus additionally warranting high internal data quality. The northern boundary of the CARINA Southern Ocean region is roughly at 30°S latitude. Considering all stations in the Southern Ocean CARINA dataset there is a bias towards the north, indicating that data close to the Antarctic continent is still sparse. Besides the new CARINA cruises, 46 cruises from the GLODAP database were incorporated in the analysis as reference cruises. Nutrient and oxygen data have a clearly higher incidence than TCO2 and total alkalinity data. Chlorofluorocarbons (CFCs) are also included in the Southern Ocean dataset, but they have not been quality controlled. Not surprisingly, most of the CARINA Southern Ocean data originate from the post-GLODAP era, i.e., from 2000 or later. Region specific quality control is described in three papers, for the Pacific sector by Sabine et al. (2009), the Indian sector by Lo Monaco et al. (2009) and the Atlantic sector by Hoppema et al. (2009).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0040.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.320
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it