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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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DIGITAL.CSIC
Dataset . 2025 . Peer-reviewed
Data sources: DIGITAL.CSIC
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Data from: Using artificial neural networks and citizen science data to assess jellyfish presence along coastal areas

Authors: Souviron-Priego, Lucrecia; Bellido-López, Juan Jesús; López-Jaime, Juan Antonio; Castro-Gutiérrez, Jairo; Gutiérrez-Estrada, Juan Carlos; Báez-Barrionuevo, José Carlos;

Data from: Using artificial neural networks and citizen science data to assess jellyfish presence along coastal areas

Abstract

Dataset Columns Fecha: Timestamp of the comment made by the user in the Infomedusa application. Municipio: Name of the municipality where the beach mentioned in the comment is located. Jellyfish: Binary variable indicating the presence (1) or absence (0) of jellyfish according to the user’s comment. Comunidad: Autonomous community to which the municipality belongs. Provincia: Province to which the municipality belongs. Latitud: Geographical latitude of the municipality where the comment was made. Longitud: Geographical longitude of the municipality where the comment was made. Set: Set of grouped beaches for geographical analysis. Each set includes beaches close to each other and the nearest weather station. Month: Month when the comment was made. Longitud_sea: Longitude of the nearest point in the sea for which environmental data was available. Latitud_sea: Latitude of the nearest point in the sea for which environmental data was available. SST: Sea Surface Temperature at the nearest point in the sea to the municipality, obtained from the Copernicus Marine Environment Monitoring Service. Wind_dir: Wind direction measured at the weather station closest to the municipality, provided by the Spanish Meteorological Agency (AEMET). Wind_speed: Wind speed measured at the weather station closest to the municipality, provided by the AEMET.

This dataset was used in the study titled "Using artificial neural networks and citizen science data to assess jellyfish presence along coastal areas". The study employs citizen science data collected from the Infomedusa application to assess the presence of jellyfish on beaches along the Andalusian coast, along with environmental data to analyze the factors influencing jellyfish distribution. The study aims to employ machine learning techniques, specifically a Multi-Layer Perceptron (MLP) neural network, to classify user comments on the presence or absence of jellyfish and analyze how environmental factors such as sea surface temperature, wind direction, and wind speed influence jellyfish distribution.

Data Sources Infomedusa APP: Application developed by the Provincial Council of Malaga and Aula del Mar of Malaga to monitor the presence of jellyfish through citizen participation. Copernicus Marine Environment Monitoring Service (CMEMS): Provides data on sea surface temperature with an hourly temporal resolution and a spatial resolution of 0.0625° x 0.0625°. Agencia Estatal de Meteorología (AEMET): Provides daily data on wind direction and speed.

Peer reviewed

Country
Spain
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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