search DOI 10.17882/55020

Disentangling the complexity of tropical small-scale fisheries dynamics using supervised Self-Organizing Maps

Data serie of small-scale fisheries of San Pedro port, Tabasco, México. These data are kg/fishery trip (lines) by species (common name, columns), by gear type year and month. For reference about gear names and fish common names please look for the paper:  Disentangling the complexity of tropical small-scale fisheries dynamics using supervised Self-Organizing Maps. publised in PlosOne

Disciplines

Fisheries and aquaculture

Keywords

Small-scale fisheries, Mexico, neural networks

Location

18.806198N, 18.607631S, -92.22252E, -92.616902W

Data

FileSizeFormatProcessingAccess
Database about small-scale fisheries of San Pedro port, Tabasco, México by common name. Data are based on commercial logbooks.
454 KoCSVRaw data
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How to cite
Mendoza-Carranza Manuel (2018). Disentangling the complexity of tropical small-scale fisheries dynamics using supervised Self-Organizing Maps. SEANOE. https://doi.org/10.17882/55020
In addition to properly cite this dataset, it would be appreciated that the following work(s) be cited too, when using this dataset in a publication :
Mendoza-Carranza Manuel, Ejarque Elisabet, Nagelkerke Leopold A. J., Corriero Aldo (2018). Disentangling the complexity of tropical small-scale fisheries dynamics using supervised Self-Organizing Maps. PLOS ONE, 13 (5), e0196991-. https://doi.org/10.1371/journal.pone.0196991

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Related documents
Mendoza-Carranza Manuel, Ejarque Elisabet, Nagelkerke Leopold A. J., Corriero Aldo (2018). Disentangling the complexity of tropical small-scale fisheries dynamics using supervised Self-Organizing Maps. PLOS ONE, 13 (5), e0196991-. https://doi.org/10.1371/journal.pone.0196991
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