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Record W6888397638 · doi:10.18739/a2c53f28k

Scripps carbon dioxide (CO2) program data, Alert, Canada (1985-present) and Point Barrow, Alaska (1961-1964 and 1974-present)

2022· dataset· en· W6888397638 on OpenAlexaboutno aff

Bibliographic record

VenueUC Santa Barbara · 2022
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsLaboratory flaskCarbon dioxide in Earth's atmosphereCarbon dioxideBiogeochemical cycleArcticRadiocarbon datingIsotope analysisCarbon fibersCarbon cycle

Abstract

fetched live from OpenAlex

This dataset consists of time-series measurements of carbon dioxide (CO2) concentration and CO2 isotopic composition (carbon isotope ratio (13C/12C) and oxygen isotope ratio (18O/16O)) from flasks collected at two stations: (1) Utqiaġvik (Barrow), Alaska and (2) Alert, Nunavut, on the north-eastern tip of Ellesmere Island. The flasks are collected by staff from the Barrow Atmospheric Baseline Observatory, operated by Global Monitoring Laboratory of the National Oceanographic and Atmospheric Administration and by staff from the Neil Trivett Global Atmospheric Watch Observatory operated by Environment and Climate Change Canada. The flasks are returned to the Scripps Institution of Oceanography at University of California (UC) San Diego where they are analyzed for CO2 concentration using infrared analysis and analyzed for CO2 isotopes using magnetic sector mass spectrometry. The measurements are reported on scales for CO2 concentration and CO2 isotopic composition that are maintained at the Scripps Institution of Oceanography. These datasets are among the longest ongoing times series of CO2 and its isotopes in the Arctic. These datasets are relevant for assessing Arctic sources and sinks of carbon dioxide and biogeochemical changes, such as large-scale changes in net ecosystem productivity and water-use efficiency, at high northern latitudes. Routine flask collections began in 1974 at Barrow, and 1985 at Alert. Isotopic analyses in flasks from Barrow started in 1982. Prior to 1992, the isotopic measurements were made at the laboratory of Professor. Wim Mook in Groningen.

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.107
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0050.011
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.023
GPT teacher head0.273
Teacher spread0.249 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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