Evidence map›Paper›PMID 38649341›Full record

ArticleScientific data2024

CROPGRIDS: a global geo-referenced dataset of 173 crops.

Fiona H M Tang, Thu Ha Nguyen, Giulia Conchedda, Leon Casse, Francesco N Tubiello, Federico Maggi

Abstract readDataset
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 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Rainfall extremes drive cocoa yield losses across the tropics.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  10. Overlooked and overexploited: Extensive conversion of grasslands and wetlands driven by global food, feed, and bioenergy demand.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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.

Fiona H M TangSchool of Environmental and Rural Science, University of New England, Armidale, New South Wales, 2351, Australia.ORCID 0000-0002-8119-4016
Thu Ha NguyenEnvironmental Engineering, School of Civil Engineering, The University of Sydney, Sydney, New South Wales, Australia.
Giulia ConcheddaStatistics Division, Food and Agriculture Organization of the United Nations, Viale delle Terme di Caracalla, Rome, 00153, Italy.
Leon CasseEnvironmental Engineering, School of Civil Engineering, The University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0002-5781-8247
Francesco N TubielloStatistics Division, Food and Agriculture Organization of the United Nations, Viale delle Terme di Caracalla, Rome, 00153, Italy.ORCID 0000-0003-4617-4690
Federico MaggiEnvironmental Engineering, School of Civil Engineering, The University of Sydney, Sydney, New South Wales, Australia. federico.maggi@sydney.edu.au.ORCID 0000-0002-7878-8112

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CROPGRIDS is a comprehensive global geo-referenced dataset providing area information for 173 crops for the year 2020, at a resolution of 0.05° (about 5.6 km at the equator). It represents a major update of the Monfreda et al. (2008) dataset (hereafter MRF), the most widely used geospatial dataset previously available, covering 175 crops with reference year 2000 at 10 km spatial resolution. CROPGRIDS builds on information originally provided in MRF and expands it using 27 selected published gridded datasets, subnational data of 52 countries obtained from National Statistical Offices, and the 2020 national-level statistics from FAOSTAT, providing more recent harvested and crop (physical) areas for 173 crops at regional, national, and global levels. The CROPGRIDS data advance the current state of knowledge on the spatial distribution of crops, providing useful inputs for modelling studies and sustainability analyses relevant to national and international processes.

Indexed as

Crops, Agricultural

Identifiers

PMID38649341
PMCPMC11035692

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.