Evidence map›Paper›PMID 39281008›Full record

ArticleData in brief2024

2004-2017 Geospatial dataset of wild and prescribed fire activity over the conterminous United States.

James Beidler, George Pouliot, Kristen Foley

Abstract read
In one paragraph

Article in Data in brief, 2024. 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

3 authors.

James BeidlerUS Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, United States.
George PouliotUS Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, United States.
Kristen FoleyUS Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wildland fire activity is provided in a geospatial database of polygons over the conterminous United States for the 2004 through 2017 time period. The location, timing, and size of the fires are derived from a fusion of wildland fire activity from a consistent set of national ground reports, satellite, and geospatial fire data. A combination of information from the underlying data sources and a regional climatological approach is used to differentiate prescribed fire from unplanned wildfire. The data were developed as part of the United States Environmental Protection Agency (US EPA) Air Quality Time Series project (EQUATES). This dataset can be useful for the evaluation of wildland fire activity over time and across regions.

Indexed as

Fire eventsFire timeseriesFire typeWildland fires

Identifiers

PMID39281008
PMCPMC11396021

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.