Evidence map›Paper›PMID 35418121›Full record

ArticleNature communications2022

Synchronizing rock clocks in the late Cambrian.

Zhengfu Zhao, Nicolas R Thibault, Tais W Dahl, Niels H Schovsbo, Aske L Sørensen, Christian M Ø Rasmussen, Arne T Nielsen

Abstract read
In one paragraph

Article in Nature communications, 2022. 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. 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

7 authors.

Zhengfu ZhaoDepartment of Geosciences and Natural Resource Management, University of Copenhagen, DK-1350, Copenhagen, Denmark. zhzh@ign.ku.dk.ORCID 0000-0002-5715-2203
Nicolas R ThibaultDepartment of Geosciences and Natural Resource Management, University of Copenhagen, DK-1350, Copenhagen, Denmark.ORCID 0000-0003-4147-5531
Tais W DahlGLOBE institute, University of Copenhagen, DK-1350, Copenhagen, Denmark.ORCID 0000-0003-4629-8036
Niels H SchovsboGeological Survey of Denmark and Greenland (GEUS), DK-1350, Copenhagen, Denmark.ORCID 0000-0003-4723-0586
Aske L SørensenGLOBE institute, University of Copenhagen, DK-1350, Copenhagen, Denmark.
Christian M Ø RasmussenGLOBE institute, University of Copenhagen, DK-1350, Copenhagen, Denmark.ORCID 0000-0003-2982-9931
Arne T NielsenDepartment of Geosciences and Natural Resource Management, University of Copenhagen, DK-1350, Copenhagen, Denmark. arnet@ign.ku.dk.ORCID 0000-0001-8194-8546

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Cambrian is the most poorly dated period of the past 541 million years. This hampers analysis of profound environmental and biological changes that took place during this period. Astronomically forced climate cycles recognized in sediments and anchored to radioisotopic ages provide a powerful geochronometer that has fundamentally refined Mesozoic-Cenozoic time scales but not yet the Palaeozoic. Here we report a continuous astronomical signal detected as geochemical variations (1 mm resolution) in the late Cambrian Alum Shale Formation that is used to establish a 16-Myr-long astronomical time scale, anchored by radioisotopic dates. The resulting time scale is biostratigraphically well-constrained, allowing correlation of the late Cambrian global stage boundaries with the 405-kyr astrochronological framework. This enables a first assessment, in numerical time, of the evolution of major biotic and abiotic changes, including the end-Marjuman extinctions and the Steptoean Positive Carbon Isotope Excursion, that characterized the late Cambrian Earth.

Indexed as

Biological EvolutionFossilsCarbon IsotopesClimateEarth, PlanetCarbon Isotopes

Identifiers

PMID35418121
PMCPMC9007955

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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.