Evidence map›Paper›PMID 39097645›Full record

ArticleScientific data2024

A Global Dataset of Potential Chloride Deposits on Mars as Identified by TGO CaSSIS.

V T Bickel, N Thomas, A Pommerol, L L Tornabene, M R El-Maarry, V G Rangarajan

Abstract read
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Streaks on martian slopes are dry.Nature communications · 2025
    Article
  3. Article
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

6 authors.

V T BickelCenter for Space and Habitability, University of Bern, Bern, Switzerland. valentin.bickel@unibe.ch.ORCID http://orcid.org/0000-0002-7914-2516
N ThomasPhysikalisches Institut, University of Bern, Bern, Switzerland.
A PommerolPhysikalisches Institut, University of Bern, Bern, Switzerland.
L L TornabeneInstitute for Earth and Space Exploration, University of Western Ontario, London, Canada.
M R El-MaarrySpace and Planetary Science Center, Khalifa University, Abu Dhabi, UAE.ORCID http://orcid.org/0000-0002-8262-0320
V G RangarajanInstitute for Earth and Space Exploration, University of Western Ontario, London, Canada.ORCID http://orcid.org/0000-0003-3694-7696

Funding

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada (NSERC Canadian Network for Research and Innovation in Machining Technology) RGPIN 2020-06418
6 · The paper itself

Abstract

Chloride deposits are markers for early Mars' aqueous past, with important implications for our understanding of the martian climate and habitability. The Colour and Stereo Surface Imaging System (CaSSIS) onboard ESA's Trace Gas Orbiter provides high-resolution color-infrared images, enabling a planet-wide search for (small) potentially chloride-bearing deposits. Here, we use a neural network to map potentially chloride-bearing deposits in CaSSIS images over a significant fraction of the planet. We identify 965 chloride deposit candidates with diameters ranging from <300 to >3000 m, including previously unknown deposits, 136 (~14%) of which are located in the highlands north of the equator, up to ~36°N. Northern chloride candidates tend to be smaller than in the south and are predominantly located in small-scale topographic depressions in low-albedo Noachian and Hesperian highland terranes. Our new dataset augments existing chloride deposit maps, informs current and future imaging campaigns, and enables future modelling work towards a better understanding of the distribution of near-surface water in Mars' distant past.

Identifiers

PMID39097645
PMCPMC11298006

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Registered trials

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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.