DOI: 10.5061/dryad.x95x69pd9
title: Strandings of marine mammals, sea turtles and seabirds along the central-north Santa Catarina coast, Brazil, from 2015 to 2018

description: To assess the potential impacts on seabirds, turtles and marine mammals
 from oil and gas production from the oceanic Pre-Salt province at Brazil’s
 Santos Basin, the Brazilian environmental agency (IBAMA) required
 PETROBRAS, the main oil company in the basin, to implement the “Programa
 de Monitoramento de Praias da Bacia de Santos” (Santos Basin Beach
 Monitoring Program - PMP-BS). Since 2015 PMP-BS has been operating along
 the states of Santa Catarina, Paraná, São Paulo and Rio de Janeiro, to
 collect biological data from live and dead stranded animals. This dataset
 comprises the first three years of monitoring (September 2015 to August
 2018) along the central-north Santa Catarina coastline, from
 26°34'55.154" S 48°39'54.708" W to
 27°22'25.298" S 48°32'31.164" W. During this
 period, 6035 animals of 47 species were recorded, 87.84% of which were
 dead and 12.16% alive, when first observed. This dataset represents the
 first high-intensity monitoring effort in the area and is important to
 define baselines for future comparisons and understand impacts of human
 activities.
description: The data presented here describe animals recorded from 1
 September 2015 to 31 August 2018. All animals observed during beach
 surveys were recorded. Depending on the decomposition stage, carcasses
 were either disposed of, or taken to the laboratory for necropsy. Animals
 that stranded alive and needed veterinary treatment were taken to
 rehabilitation centers maintained by the institutions part of the PMP-BS.
 Sex, development and maturation stage were identified using external
 characters or by direct examination of gonads during necropsy. All
 recovered carcasses were submitted to biometry. For fresh carcasses,
 samples were collected for histopathological analysis, natural history and
 any other analyses needed to identify the cause of death.
 Taxonomic identification was usually done using morphologic
 characters, but when this was not possible owing to decomposition or
 predation, a molecular analysis was performed, by sequencing the COI gene
 and identification the species using the Barcode of Life Data System [3].
 Taxonomical classification follows the taxa retrieved from the Integrated
 Taxonomic Information System (ITIS) (http://www.itis.gov) on
 March 2016. Specimens were collected under permit “ABIO
 No. 640/2015” from Instituto Brasileiro do Meio Ambiente e Recursos
 Naturais Renováveis – IBAMA.
description: This dataset presents part of the data generated by the Santos
 Basin Beach Monitoring Project (PMP-BS, from “Projeto de Monitoramento de
 Praias da Bacia de Santos”), which aims to evaluate the potential impacts
 from oil and gas production at the oceanic Pre-Salt province on Brazil’s
 Santos Basin. This project was required by the federal environmental
 agency in Brazil (IBAMA), as part of the environmental licensing of
 PETROBRAS’ activities in the area, together with other monitoring programs
 (further information can be obtained at http://www.comunicabaciadesantos.com.br). The PMP-BS focuses on beached seabirds, sea turtles and marine mammals, as requested by the environmental agency. Due to the large extension of the monitored area (&gt; 1,000Km), it was divided in 15 ‘sectors’, that were under the responsibility of different institutions and data from each sector are being reported in separate data papers. To guarantee that data was collected homogeneously, all institutions followed the same field protocols (available at http://www.comunicabaciadesantos.com.br), which were based on national and international protocols. A central data repository has been developed (“Sistema de Monitoramento da Biota Aquática – SIMBA”), allowing for the standardization and organization of all data generated by the PMP-BS, linking data obtained at the field to laboratory analyses. <strong>Resources in Dryad</strong>:<br> <br> Strandings of marine mammals, sea turtles and seabirds along the South Santa Catarina state coastline, from 2015 to 2018. (data paper). https://doi.org/10.5061/dryad.prr4xgxgw<br> <br> Strandings of marine mammals, sea turtles and seabirds along the Central-south Santa Catarina coast, Brazil, from 2015 to 2018. (dataset). https://doi.org/10.5061/dryad.m0cfxpnzj<br> <br> Strandings of marine mammals, sea turtles and seabirds along central Santa Catarina coast, Brazil, from 2015 to 2018. (dataset). https://doi.org/10.5061/dryad.4b8gtht7x<br> <br> Strandings of marine mammals, sea turtles and seabirds along the central-north Santa Catarina coast, Brazil, from 2015 to 2018 (dataset). https://doi.org/10.5061/dryad.x95x69pd9<br> <br> Strandings of marine mammals, sea turtles and seabirds along the northern Santa Catarina coast, Brazil, from 2015 to 2018. (dataset). https://doi.org/10.5061/dryad.5hqbzkh26<br> <br> Strandings of marine mammals, sea turtles and seabirds along the Paraná coast, Brazil, from 2015 to 2018. (dataset). https://doi.org/10.5061/dryad.k0p2ngf48<br> <br> Strandings of marine mammals, sea turtles and seabirds along the southern São Paulo coast, Brazil, from 2015 to 2018. (dataset). https://doi.org/10.5061/dryad.8gtht76jm<br> <br> Strandings of marine mammals, sea turtles and seabirds along the central-south coast of São Paulo, Brazil, from 2015 to 2018. (dataset). https://doi.org/10.5061/dryad.z612jm67w<br> <br> Strandings of marine mammals, sea turtles and seabirds along the central-north São Paulo coast, Brazil, from 2015 to 2018. (dataset). https://doi.org/10.5061/dryad.f4qrfj6s2<br> <br> Strandings of marine mammals, sea turtles and seabirds along the northern São Paulo coast, Brazil, from 2015 to 2018. (dataset). https://doi.org/10.5061/dryad.z8w9ghx77