Evidence map›Paper›PMID 41702912›Full record

ArticleScientific data2026

A dataset of radiocarbon dates from Holarctic mammal collagen purified with high-quality chemistry.

Salvador Herrando-Pérez, Kieren J Mitchell, John R Southon, Chris S M Turney, Thomas W Stafford

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Salvador Herrando-PérezDepartment of Biogeography and Global Change, Museo Nacional de Ciencias Naturales, Spanish National Research Council (CSIC), 28006, Madrid, Spain. shp@mncn.csic.es.ORCID http://orcid.org/0000-0001-6052-6854
Kieren J MitchellSchool of Biological Sciences, Adelaide University, Adelaide, South Australia, 5005, Australia.
John R SouthonEarth System Science Department, University of California, Irvine, CA, 92697, USA.
Chris S M TurneySchool of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, Edinburgh, EH14 4AS, UK.ORCID http://orcid.org/0000-0001-6733-0993
Thomas W StaffordStafford Research LLC, 3419 Candlelight Drive NE, Albuquerque, NM, 87111, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiocarbon dates from megafaunal remains provide insights into climatic and anthropogenic factors shaping past ecosystems. Chronologies have advanced through rigorous chemical purification (pretreatment) of fossil vertebrate collagen for accelerator mass spectrometry (AMS) radiocarbon dating. We present MEGA14C, a comprehensive dataset of late Quaternary AMS radiocarbon dates for Holarctic large-bodied mammals, based on collagen purified by ultrafiltration (92% of records), XAD-2 purification (7%) and hydroxyproline isolation (1%). MEGA14C includes 11,715 dates spanning 8 orders, 23 families, 78 genera, 133 species and 18 subspecies, 27% from extinct taxa, and dominated by Equus, Bos, Mammuthus, Rangifer, Bison, Ursus, Cervus, Canis, Coelodonta and Sus. Where available, geolocation, genetic and isotopic data are provided. Pretreatment is critical for accurate and reproducible radiocarbon measurements, yet 44% of published dates lack this information. We addressed this gap through over 10,000 personal communications (out of >100,000 emails) with researchers and AMS laboratories among the parties involved in fossil dating. This unique dataset supports (pre)historical research and provides a foundation for future expansion and/or integration into a global radiocarbon repository.

Indexed as

CollagenMammalsRadiometric DatingAnimalsFossilsMass SpectrometryCollagen

Identifiers

PMID41702912
PMCPMC13066388

What OpenQuestion holds

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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.