Data from: Using artificial neural networks and citizen science data to assess jellyfish presence along coastal areas
- Souviron-Priego, Lucrecia 1
- Bellido-López, Juan Jesús 2
- López-Jaime, Juan Antonio 2
- Castro-Gutiérrez, Jairo 3
- Gutiérrez-Estrada, Juan Carlos 3
- Báez-Barrionuevo, José Carlos 4
- 1 Aula del Mar (Málaga); Universidad de Málaga (UMA)
- 2 Aula del Mar (Málaga)
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3
Universidad de Huelva
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4
Instituto Español de Oceanografía
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Editor: Zenodo
Año de publicación: 2024
Tipo: Dataset
Resumen
General Information 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. 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. 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.