Evidence map›Paper›PMID 30422125›Full record

ArticleScientific data2018

PaleoClim, high spatial resolution paleoclimate surfaces for global land areas.

Jason L Brown, Daniel J Hill, Aisling M Dolan, Ana C Carnaval, Alan M Haywood

Abstract read
In one paragraph

Article in Scientific data, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers.

0numbers the graph read from it
0cells of the map it votes in
127citing 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

127 citing papers in PubMed.

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  3. Tracing Ancient Migration Routes: DidEcology and evolution · 2026
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  17. Climatic suitability screening ofFrontiers in plant science · 2026
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  19. Article
  20. Article

67 more citing papers are in PubMed but not listed here.

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.

Jason L BrownCooperative Wildlife Research Laboratory & The Center for Ecology, Southern Illinois University, Carbondale, IL 62901, USA.
Daniel J HillSchool of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK.
Aisling M DolanSchool of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK.
Ana C CarnavalCity College of New York and The Graduate Center, City University of New York, New York, NY 10031, USA.
Alan M HaywoodSchool of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-resolution, easily accessible paleoclimate data are essential for environmental, evolutionary, and ecological studies. The availability of bioclimatic layers derived from climatic simulations representing conditions of the Late Pleistocene and Holocene has revolutionized the study of species responses to Late Quaternary climate change. Yet, integrative studies of the impacts of climate change in the Early Pleistocene and Pliocene - periods in which recent speciation events are known to concentrate - have been hindered by the limited availability of downloadable, user-friendly climatic descriptors. Here we present PaleoClim, a free database of downscaled paleoclimate outputs at 2.5-minute resolution (~5 km at equator) that includes surface temperature and precipitation estimates from snapshot-style climate model simulations using HadCM3, a version of the UK Met Office Hadley Centre General Circulation Model. As of now, the database contains climatic data for three key time periods spanning from 3.3 to 0.787 million years ago: the Marine Isotope Stage 19 (MIS19) in the Pleistocene (~787 ka), the mid-Pliocene Warm Period (~3.264-3.025 Ma), and MIS M2 in the Late Pliocene (~3.3 Ma).

Identifiers

PMID30422125
PMCPMC6233254

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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.