Physicochemical parameters, dissolved inorganic nutrients, and ²²³Ra from the southern Brazilian continental shelf in 2023 and 2024

Three oceanographic cruises on board of R/V Atlântico Sul were conducted over two years on the Southern Brazilian Continental Shelf (SBCS): in 2023, Albardão I (2023-11-05 – 2023-11-10) and INCT-MarCOI Plataforma/Oceano (2023-11-20 – 2023-11-27) (stations C00 to C05); and in 2024, Albardão II (2024-05-29 -2024-06-04) (stations C06 to C09 for the cross-shelf transect, P06 to P10 for the Patos Lagoon estuarine plume, and A01 to A07 for the along-shelf transect). The study area comprised the southernmost sector of the SBCS, between the estuary of the Patos Lagoon (32°S, 51°W) and Chuí (33°S, 52°W). These cruises aimed to characterize the oceanographic conditions of the region and assess the impacts of the extreme flood event that occurred in southern Brazil in May 2024. Seawater samples and hydrographic data were collected using a CTD-rosette system equipped with a Sea-Bird SBE19plus CTD profiler. During the Albardão I and Albardão II cruises, an additional CTD sensor from JFE Advantech was also used. Water samples were collected using six 4-litre Niskin bottles attached to the rosette system. All onboard sample processing was carried out in a clean laboratory (Clean Lab) housed in a refurbished container, which adheres to the GEOTRACES protocol for trace element sampling (Cutter et al., 2017). On this dataset, stations without inorganic nutrient or 223-Ra samples were named as CTD-data. Water samples for dissolved inorganic nutrient analyses were processed in the Clean Lab, filtered through 0.45 µm cellulose acetate filters (Whatman®), and stored at −17 °C until analysis. Nutrient concentrations were determined following the methods described by Grasshoff et al. (1999) and Strickland and Parsons (1972). The 223-Ra samples were collected using an in situ pumping system at a depth of 1.5 m during the 2024 cruise and at 3 m during the 2023 cruises. Seawater was stored in plastic barrels, with volumes of 200 L for stations located within 100 km from the coast and 400 L for offshore stations. The samples were subsequently passed through Mn-fiber columns for radium extraction and later analyzed using a RADeCC (Radium Delayed Coincidence Counter) system, following Moore and Arnold (1996) and Moore and Cai (2013). All sample analyses were carried out at the Federal University of Rio Grande (FURG). Additionally, five samples of the Patos Lagoon estuarine plume, obtained during monitoring activities conducted by Portos RS in 2011 (stations P01 to P05), were incorporated into the dataset to represent pre-flood conditions. Portos RS provided these data.

Identifier
DOI https://doi.pangaea.de/10.1594/PANGAEA.994060
PID https://hdl.handle.net/10013/epic.668f482f-c869-42ba-8d64-ab6ca8ae011f
Related Identifier References https://doi.org/10.1002/9783527613984
Related Identifier References https://doi.org/10.1029/95JC03139
Related Identifier References https://doi.org/10.1016/j.marchem.2013.03.002
Related Identifier References https://hdl.handle.net/10013/epic.46454.d001
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.994060
Provenance
Creator Witt, Maria Alice da Silva; Bueno, Ananda Quiles; Sukekava, Camila Fiaux ORCID logo; Costa, Alessandra Gomes da; Paiva, Mariele Lopes de; Andrade, Carlos Francisco Ferreira de; Wallner-Kersanach, Mônica
Publisher PANGAEA
Publication Year 2026
Funding Reference Horizon 2020 of the European Commission https://doi.org/10.13039/501100007601 Crossref Funder ID 817578 https://doi.org/10.3030/817578 Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; National Council for Scientific and Technological Development https://doi.org/10.13039/501100003593 Crossref Funder ID 400551/2014-4
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 10750 data points
Discipline Earth System Research
Spatial Coverage (-53.296W, -34.108S, -51.490E, -32.170N)
Temporal Coverage Begin 2011-06-17T12:51:00Z
Temporal Coverage End 2024-06-04T07:30:00Z