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132 results for “Continental margin”
FIGURE 1. A in Pleistocene to Holocene benthic foraminiferal assemblages from the Peruvian continental margin
FIGURE 1. A) Map of the research area showing the core locations. The dashed line shows the approximate position of the section in B) depth vs latitude section showing the dissolved oxygen concentrations and the core locations. Oxygen data were taken from a CTD compilation after Schönfeld et al. (2015). Contour lines indicate the dissolved oxygen concentration interval. Prepared by ODV Software (Schlitzer, 2010)
FIGURE 8 in Pleistocene to Holocene benthic foraminiferal assemblages from the Peruvian continental margin
FIGURE 8. SEM images; scale bar equals 100 μm. 1. Bolivina seminuda 416; 200 cm, 2. Bolivina cf. seminuda var. humilis 416; 200 cm, 3. Bolivina seminuda var. humilis 47-2; 113 cm, 4. Bolivina pacifica 52-2; 270 cm, 5. Bolivina interjuncta var. bicostata 52-2; 520 cm, 6. Bolivinita minuta 52-2; 270 cm, 7. Bolivina aff. tortuosa 59-1; 523 cm, 8. Bolivina costata 52-2; 270 cm, 9. Bolivina ordinaria 47-2; 128 cm, 10. Bulimina pagoda 52-2; 520 cm, 11. Fursenkoina fusiformis 50-4; 230 cm, 12. Virgulina spinosa 59-1; 963 cm, 13. Fursenkoina glabra 50-4; 230 cm, 14. Anomalinoides minimus spiral view 59-1; 523 cm, 15. cf. Buccella peruviana umbilical view 47-2; 113 cm, 16. cf. Buccella peruviana peripheral view 47-2; 113 cm, 17. cf. Buccella peruviana spiral view 50-4; 230 cm, 18. Epistominella exigua spiral view 52-2; 450 cm, 19. Epistominella exigua umbilical view 52-2; 450 cm, 20. Anomalinoides minimus umbilical view 59-1; 523 cm, 21. Epistominella afueraensis umbilical view 416; 200 cm, 22. Epistominella afueraensis peripheral view 416; 200 cm, 23. Epistominella afueraensis spiral view 416; 200 cm, 24. Alabaminella weddellensis spiral view 52-2; 270 cm.
FIGURE 12 in Pleistocene to Holocene benthic foraminiferal assemblages from the Peruvian continental margin
FIGURE 12. Optical microscope images; scale bar equals 100 μm. 1. Bolivina costata 52-2; 270 cm 2. Bolivina ordinaria 47-2; 128 cm, 3. Bolivina cf. seminuda var. humilis 416; 200 cm, 4. Bolivina seminuda 416; 200 cm, 5-6. Bolivina interjuncta var. bicostata 52-2; 520 cm and 450 cm, 7. Bolivinita minuta 52-2; 270 cm, 8. Bolivina aff. tortuosa 59-1; 523 cm, 9. Bolivina seminuda var. humilis 47-2; 113 cm, 10. Bolivina pacifica 52-2; 270 cm, 11. Bolivina tongi var. filacostata 59-1; 523 cm, 12. Buliminella cf. curta 50-4; 100 cm, 13. Suggrunda eckisi 50-4; 110 cm, 14. Suggrunda porosa 47-2; 128 cm, 15. Fursenkoina fusiformis 50-4; 230 cm, 16. Fursenkoina glabra 50-4; 230 cm, 17. Buliminella elegantissima 416; 180 cm, 18. Bulimina mexicana 52-2; 520 cm, Bulimina pagoda 52-2; 520 cm.
FIGURE 9 in Pleistocene to Holocene benthic foraminiferal assemblages from the Peruvian continental margin
FIGURE 9. Optical microscope images; scale bar equals 200 μm. 1. Planulina limbata umbilical view 416; 100 cm, 2. Epistominella pacifica 416; 200 cm, 3. Epistominella pacifica umbilical view 416; 200 cm, 4. Angulogerina angulosa 50-4; 100 cm, 5. Epistominella smithi spiral view 50-4; 210 cm, 6. Uvigerina striata 416; 200 cm, 7. Uvigerina hispida 52-2; 120 cm, 8. Epistominella afueraensis spiral view 416; 200 cm, 9. Epistominella afueraensis umbilical view 416; 200 cm, 10. Gyroidina rothwelli umbilical view 416; 100 cm, 11. Gyroidina rothwelli spiral view 416; 100 cm.
FIGURE 11 in Pleistocene to Holocene benthic foraminiferal assemblages from the Peruvian continental margin
FIGURE 11. SEM images; scale bar equals 200 μm. 1. Bolivina interjuncta 47-2; 168 cm, 2. Bolivina plicata microspheric form 416; 200 cm, 3. Bolivina plicata macrospheric form 416; 100 cm, 4. Bolivina spissa 52-2; 520 cm, 5. Uvigerina peregrina 416; 200 cm (different specimen depicted in optical microscope and SEM image), 6. Praeglobobulimina spinescens 47-2; 168 cm, 7. Stainforthia complanata 50-4; 210 cm, 8. Uvigerina auberiana 50-4; 350 cm, 9. Uvigerina semiornata 52-2; 230 cm, 10. Bolivina alata 50-4; 110 cm, 11. Buliminella cf. curta 50-4; 100 cm, 12.-13 Bulimina exilis 50-4; 100 cm & 350 cm, 14. Uvigerina striata 416; 200 cm, 15. Hoeglundina elegans 52-2; 500 cm, 16. Globobulimina pacifica 52-2; 230 cm, 17. Cassidulina delicata 47-2; 128 cm, 18. Cassidulina crassa 52-2; 520 cm, 19. Cassidulina auka 416; 100 cm.
FIGURE 5 in Pleistocene to Holocene benthic foraminiferal assemblages from the Peruvian continental margin
FIGURE 5. Downcore distributions of A. minimum, A. weddellensis, B. minuta, C. delicata, E. exigua and U. auberiana observed in core M77/1-59-1. Note that the scale bars are different.
FIGURE 7 in Pleistocene to Holocene benthic foraminiferal assemblages from the Peruvian continental margin
FIGURE 7. Optical microscope images; scale bar equals 100 μm. 1. Epistominella pacifica umbilical view 47-2; 128 cm, 2. Epistominella exigua spiral view 52-2; 450 cm, 3. Epistominella exigua umbilical view 52-2; 450 cm, 4. Anomalinoides minimus spiral view 59-1; 523 cm, 5. Anomalinoides minimus umbilical view 59-1; 523 cm, 6. Epistominella obesa spiral view 50-4; 100 cm, 7. Epistominella obesa spiral view 50-4; 100 cm, 8. Epistominella obesa umbilical view 50-4; 100 cm, 9. cf. Buccella peruviana spiral view 50-4; 230 cm, 10. cf. Buccella peruviana umbilical view 47-2; 113 cm, 11. Cassidulina auka 416; 100 cm, 12. Alabaminella weddellensis spiral view 52-2; 270 cm, 13. Gyroidina subtenera spiral view 52-2; 270 cm, 14. Gyroidina subtenera umbilical view 52-2; 230 cm, 15. Cassidulina minuta 52- 2; 120 cm, 16. Cassidulina carinata 50-4; 210 cm, 17. Cassidulina delicata 47-2; 128 cm.
FIGURE 4 in Pleistocene to Holocene benthic foraminiferal assemblages from the Peruvian continental margin
FIGURE 4. Downcore distributions of the most abundant species (>5% relative abundance) observed in the sediment cores. N.A.: in case of absence of the species. Note that the scale bars are different.
Fig. 11 in Tectonic history and the biogeography of the freshwater fishes from the coastal drainages of eastern Brazil: an example of faunal evolution associated with a divergent continental margin
Fig. 11. (a) The main axes of Quaternary tectonics in Brazil (gray lines) (according to Saadi, 1993) and areas of coincident distributional rages of several species in both isolated coastal rivers and adjacent drainages. (b) The northeastern margin of Brazil, including the Parnaíba, São Francisco and adjacent coastal rivers (c) The Southern most Brazil, encompassing the Uruguay and surroundings coastal rivers as well as the headwaters of the Paranapanema, Ivaí, Iguacú and Ribeira de Iguape. (d) The area encompassed by the CRSB, in southeastern Brazil, including the coastal rivers and the adjacent upper Tietê and upper Iguaçu.
Fig. 4 in Tectonic history and the biogeography of the freshwater fishes from the coastal drainages of eastern Brazil: an example of faunal evolution associated with a divergent continental margin
Fig. 4. Geographic location of the Brazilian Atlantic continental margin and of the coastal drainages of eastern Brazil (shaded area) and areas showed in figures 6, 7 and 8 (modified from Hearn et al., 2000).
Fig. 9 in Tectonic history and the biogeography of the freshwater fishes from the coastal drainages of eastern Brazil: an example of faunal evolution associated with a divergent continental margin
Fig. 9. Cladograms of taxa and areas showing the sister-group relationships included in Pattern A. a) Catfishes of the family Trichomycteridae. b) Catfishes of the family Doradidae. The degree of inclusiveness of this pattern suggests the most ancient cladogenetic event that is still recognized in respect to the ichthyofauna of the Brazilian coastal rivers.
Fig. 7 in Tectonic history and the biogeography of the freshwater fishes from the coastal drainages of eastern Brazil: an example of faunal evolution associated with a divergent continental margin
Fig. 7. (a) Map of northeastern segment of Southeastern Brazilian coast showing the complex system of Pre-Cambrian and Mesozoic continental rifts controlling drainage and topography. (b) Detail of the straight course of the rio Paraíba do Sul Rift Valley produced from a digital elevation model by radar interferometry (NASA, The Shuttle Radar Topography Mission).
Fig. 3 in Tectonic history and the biogeography of the freshwater fishes from the coastal drainages of eastern Brazil: an example of faunal evolution associated with a divergent continental margin
Fig. 3. Rivers and uplifts of Atlantic South America. A) break-up uplifts (megadomes) and associated principal rifts. Megadomes: Guyana/Guinea (1), NE Brazil/Niger (2), Mantiqueira/Angola (3), Uruguay/SW Africa (4), Somuncurá (5) and Deseado (6). Break-up rifts: Tacutu (I), Foz do Amazonas (II), Reconcavo Tucano-Jatobá (III) and Taubaté (IV). B) detail of the uplift from the Southeastern Brazil (from Cox, 1989 and Potter, 1997).
Fig. 2 in Tectonic history and the biogeography of the freshwater fishes from the coastal drainages of eastern Brazil: an example of faunal evolution associated with a divergent continental margin
Fig. 2. The South American Plate and its major tectono-sedimentary domains (from Milani & Thomaz-Filho, 2000).
Fig. 2. Halichoanolaimus ovalis Ditlevsen, 1921 A in New and known Halichoanolaimus de Man, 1886 species (Nematoda: Selachinematidae) from New Zealand's continental margin
Fig. 2. Halichoanolaimus ovalis Ditlevsen, 1921 A. Entire ♂. B. Entire ♀. Scale bar: 200 µm.
Ocean bottom seismometer data of the OBS2020-1 profile at the northern continental margin of the South China Sea
<p> Ocean bottom seismometer hydrophone data in SEG-Y format of 11 OBS stations along the OBS2020-1 profile and travel times used for the forward modeling and tomographic inversion. The travel times include the primary phases and secondary phases which are seawater layer multiples at the receiver side. Meanwhile, the OBS locations are also submitted to this repository.</p>
Marinoan Snowball Earth: The Impact of Deglaciation Duration on the Sea-Level History of Continental Margins
<p>Paleogeographies, ice histories, and predicted relative sea level output are available here as Matlab (.mat) files. Complementary text (.txt) files are included for latitude, longitude, and time. For different file formats or any questions to their use, please contact the corresponding author, Freya K Morris at: morrisfreya15@outlook.com</p>
Data from: A global phylogeny of turtles reveals a burst of climate-associated diversification on continental margins
<p>Living turtles are characterized by extraordinarily low species diversity given their age. The clade's extensive fossil record indicates that climate and biogeography may have played important roles in determining their diversity. We investigated this hypothesis by collecting a molecular dataset for 591 individual turtles that together represent 80% of all turtle species, including representatives of all families and 98% of genera, and used it to jointly estimate phylogeny and divergence times. We found that the turtle tree is characterized by relatively constant diversification (speciation minus extinction) punctuated by a single threefold increase. We also found that this shift is temporally and geographically associated with newly emerged continental margins that appeared during the Eocene-Oligocene transition about 30 million years before present. In apparent contrast, the fossil record from this time period contains evidence for a major, but regional, extinction event. These seemingly discordant findings appear to be driven by a common global process: Global cooling and drying at the time of the Eocene Oligocene transition. This climatic shift led to aridification that drove extinctions in important fossil-bearing areas, while simultaneously exposing new continental margin habitat that subsequently allowed for a burst of speciation associated with these newly exploitable ecological opportunities.</p>
Data from: Biodiversity response to natural gradients of multiple stressors on continental margins
Sharp increases in atmospheric CO2 are resulting in ocean warming, acidification and deoxygenation that threaten marine organisms on continental margins and their ecological functions and resulting ecosystem services. The relative influence of these stressors on biodiversity remains unclear though, as well as the threshold levels for change and when secondary stressors become important. One strategy to interpret adaptation potential and predict future faunal change is to examine ecological shifts along natural gradients in the modern ocean. Here, we assess the explanatory power of temperature, oxygen and the carbonate system for macrofaunal diversity and evenness along continental upwelling margins using variance partitioning techniques. Oxygen levels have the strongest explanatory capacity for variation in species diversity. Sharp drops in diversity are seen as O2 levels decline through the 0.5 – 0.15 ml/l (~22 – 6 μM; ~21 – 5 matm) range, and as temperature increases through the 7-10°C range. pCO2 is the best explanatory variable in the Arabian Sea but explains little of the variance in diversity in the Eastern Pacific Ocean. In contrast, very little variation in evenness is explained by these three global change variables. The identification of sharp thresholds in ecological response are used here to predict areas of the seafloor where diversity is most at risk to future marine global change, noting that the existence of clear regional differences cautions against applying global thresholds.
FIGURE 1 in Spirinia lara sp. n. and Spirinia sophia sp. n. (Nematoda, Desmodoridae) from the Brazilian continental margin (Campos Basin, Rio de Janeiro)
FIGURE 1. Study area showing sampling stations. Circles represents where the new species were found.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.