Evidence map›Paper›PMID 40168248›Full record

ArticleEnvironmental science & technology2025

New Capability in Autonomous Ocean Carbon Observations Using the Autosub Long-Range AUV Equipped with Novel pH and Total Alkalinity Sensors.

Emily M Hammermeister, Stathys Papadimitriou, Martin Arundell, Jake Ludgate, Allison Schaap, Matthew C Mowlem, Sara E Fowell, Edward Chaney, Socratis Loucaides

Abstract read
In one paragraph

Article in Environmental science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Emily M HammermeisterSchool of Ocean and Earth Sciences, University of Southampton, SO17 1BJ Southampton, United Kingdom.ORCID 0000-0002-1739-761X
Stathys PapadimitriouNational Oceanography Centre, European Way, SO14 3ZH Southampton, United Kingdom.ORCID 0000-0001-8540-1169
Martin ArundellNational Oceanography Centre, European Way, SO14 3ZH Southampton, United Kingdom.
Jake LudgateNational Oceanography Centre, European Way, SO14 3ZH Southampton, United Kingdom.
Allison SchaapNational Oceanography Centre, European Way, SO14 3ZH Southampton, United Kingdom.ORCID 0000-0001-5391-0516
Matthew C MowlemNational Oceanography Centre, European Way, SO14 3ZH Southampton, United Kingdom.
Sara E FowellNational Oceanography Centre, European Way, SO14 3ZH Southampton, United Kingdom.
Edward ChaneyNational Oceanography Centre, European Way, SO14 3ZH Southampton, United Kingdom.
Socratis LoucaidesNational Oceanography Centre, European Way, SO14 3ZH Southampton, United Kingdom.ORCID 0000-0001-5285-660X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of marine autonomous platforms has improved our capability to gather ocean observations at fine spatial scales and high temporal frequency, which can be used to better measure, characterize, and model ocean carbon. As part of the OCEANIDS program, novel carbonate sensors were integrated into the Autosub Long-Range (ALR) autonomous underwater vehicle (AUV) and deployed in the Celtic Sea. Autonomous Lab-On-Chip (LOC) sensors measured pH and total alkalinity (TA) while onboard the ALR. Using interpolation, the ALR-sensor data set is compared against CTD co-samples. The average differences between the LOC sensor and co-sample pH range from -0.011 to -0.015. The TA sensor data agrees with co-samples within 1-2 μmol kg

Indexed as

CarbonEnvironmental MonitoringCarbonatesCarbon DioxideHydrogen-Ion ConcentrationOceans and SeasSeawaterCarbonCarbonatesCarbon Dioxideautonomous observationsautonomous underwater vehiclesmarine carbonate systemocean acidificationocean carbon observationsoceanographic sensors

Identifiers

PMID40168248
PMCPMC12004916

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.