10.1594/PANGAEA.972084Díaz, Germán RicardoGermán RicardoDíazMartín, Rodrigo SebastianRodrigo SebastianMartín0000-0001-9664-6364Plastani, Maria SofíaMaria SofíaPlastaniAlbarracín, Paula BelénPaula BelénAlbarracín0000-0003-2081-8881García Chapori, Natalia LuzNatalia LuzGarcía ChaporiLaprida, CeciliaCeciliaLaprida0000-0001-9666-0983PANGAEA2025Argentine Continental ShelfLate Glacial sea level riseLate QuaternaryMicropaleontologyPaleoenvironmental analysisDEPTH, sediment/rockUvigerina striataElphidium discoidaleCassidulina laevigataGlobocassidulina subglobosaAmmonia tepidaBuccella peruvianaCornuspira involvensPseudotriloculina patagonicaQuinqueloculina seminulumQuinqueloculina millettiQuinqueloculina atlanticaCribroelphidium gunteriMiliolinella subrotundaPyrgo ringensPseudotriloculina lecalvezaeSpiroloculina cf. orbisRosalina williamsoniTrochammina inflataGravity corerCounting >75 µmDataset10.1594/PANGAEA.972079648 data pointstext/tab-separated-valuesCreative Commons Attribution 4.0 InternationalThirty-six sediment samples of approx. 10 cm^3 were taken.  The number of samples and the distance between consecutive samples vary among the sedimentary units described above due to their textural differences. Unit A (215-135 cm) were sampled every ~10 cm. Unit B (135-89 cm)  were sampled continuously every 2 cm. Unit C (89-10 cm) levels with abundant fine-grained matrix were selected. Unit D (the uppermost 10 cm) only one sample was taken. For each sample, 10 g of sediment was treated with hydrogen peroxide (H2O2{~}) 10% to remove organic matter, washed through 75 μm sieve, and dried at 40º C in a thermostatic oven. All foraminifera and ostracods from at least 2 g of dry sediment were picked and extrapolated to the whole pretreated sample to standardized abundance.-57.249333-40.16446National Scientific and Technical Research Councilhttps://doi.org/10.13039/501100002923PIP11220220100103COReconstrucción paleoclimática en base a registros geológicos continentales y marinos desde el Pleistoceno Superior en latitudes medias de Argentina. Proyecto PIP GI. Programación científica 2023-2025