Evidence map›Paper›PMID 42774646›Full record

ArticleData in brief2026

MeteoCoast-EC: An open-access hourly meteorological dataset from automatic weather stations in coastal Ecuador.

Jorge Parraga-Alava, Edison Solorzano, Emilio Jarre-Castro, Jose Zambrano, Ezequiel Zamora-Ledezma

Abstract read
In one paragraph

Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jorge Parraga-AlavaFacultad de Ciencias Informáticas, Universidad Técnica de Manabí, 130103, Portoviejo, Ecuador.
Edison SolorzanoFacultad de Ciencias Informáticas, Universidad Técnica de Manabí, 130103, Portoviejo, Ecuador.
Emilio Jarre-CastroLaboratorio Funcionamiento de Agroecosistemas y Cambio Climático (FAGROCLIM), Departamento de Ciencias Agrícolas, Facultad de Ingeniería Agrícola, Universidad Técnica de Manabí, 13132 Lodana, Ecuador.
Jose ZambranoFacultad de Ciencias Informáticas, Universidad Técnica de Manabí, 130103, Portoviejo, Ecuador.
Ezequiel Zamora-LedezmaLaboratorio Funcionamiento de Agroecosistemas y Cambio Climático (FAGROCLIM), Departamento de Ciencias Agrícolas, Facultad de Ingeniería Agrícola, Universidad Técnica de Manabí, 13132 Lodana, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MeteoCoast-EC is an open-access, multi-variable meteorological dataset comprising 62,815 hourly records collected between January 2022 and May 2026 from three automatic weather stations operated by the Universidad Técnica de Manabí (UTM) in the coastal region of Ecuador: Santa Ana, Portoviejo, and Calderón, located at 50, 64, and 150 m a.s.l. respectively. The dataset addresses a critical observational gap: the coastal region of Ecuador holds the lowest density of operational meteorological stations of any region in the country, and INAMHI (Instituto Nacional de Meteorología e Hidrología) does not currently maintain active stations at the Portoviejo and Calderón sites. This gap is particularly consequential given that the hydrographic systems encompassing these stations experienced extreme precipitation anomalies affecting approximately 93% of basin areas during the 1997-1998 El Niño event, and extreme El Niño events are projected to increase in frequency under ongoing climate change. The monitored area also constitutes the primary agricultural and artisanal fishing zone of Ecuador, where locally observed, sub-daily meteorological records are essential for agroclimatic risk modeling, hydrological forecasting, and early warning system development. Two files are released. The raw export preserves the 75 columns delivered by the WeatherLink API together with the SQL export layer, 68 API fields plus 7 export fields, with no variable withheld. The processed release retains 23 analytically distinct variables, 4 identifiers and 19 measurements, and materializes them as 33 physical columns by adding 9 SI unit conversions and 1 auxiliary grouping key. Data are acquired using Davis Vantage Pro 2 sensors via a JavaScript-based ETL pipeline and stored in a PostgreSQL database at hourly resolution. Neither file is quality-controlled beyond deduplication, so the native sensor values are preserved. MeteoCoast-EC is released under CC BY 4.0 and deposited in Mendeley Data together with the complete processing and figure-generation code.

Indexed as

Automatic weather stationsCoastal EcuadorENSOMeteorological datasetOpen-access time seriesTropical climatology

Identifiers

PMID42774646
PMCPMC13595064

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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.