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342 results for “Early pleistocene”
IODP Expedition 382: Supplementary Tables for "Episodes of early Pleistocene West Antarctic Ice Sheet retreat recorded by Iceberg Alley sediments"
<p>IODP Expedition 382: Supplementary Tables for "Episodes of early Pleistocene West Antarctic Ice Sheet retreat recorded by Iceberg Alley sediments"</p> <p>Includes SEM QEMSCAN® and <sup>40</sup>Ar/<sup>39</sup>Ar data for International Ocean Discovery Program (IODP) Expedition 382 Site U1538. Also includes a movie of a 3D-volume realization of an iceberg-rafted sedimentary layer from this site based on non-destructive X-ray microtomography imaging.</p> <p> </p> <p><strong>Data Set Captions:</strong></p> <p> </p> <p><strong>Data Set S1. </strong>Modal mineralogy data based on QEMSCAN® analyses, which infer minerals from chemistry. The mineral name assignations for each chemistry-based category stated in this table are aided by visual (microscope-based) inspection of the raw sieved samples.</p> <p><strong>Data Set S2. </strong>Mineral association data based on QEMSCAN® analyses. Please read data in columns, mineral against mineral (down then across left). These data define what touches what in the sample and is displayed as a percentage. Association refers to adjacency. Two minerals are “associated” if a pixel of one of the minerals occurs adjacent to a pixel of the other mineral. iExplorer software used scans the measured particles horizontally, from left to right, counting the associations that occur in the images (so the more pixels/closer the x-ray spacing the more accurate the data). Each column is independent. That is, it is split into a percentage of what touches what, so it is not expected that any two minerals’ data are reciprocal. The background category primarily reflects the free boundaries of ‘grains’ rather than liberated grains/particles. While it may provide an indicator of liberation, it does not represent liberation since it does not describe ‘particles’ which are made up of mineral grains. Inclusions and composite particles are therefore not described. Please consider the modal mineralogy (Tab. S1) when examining these mineral association data.</p> <p><strong>Data Set S3. </strong>Lithotyping data based on QEMSCAN® analyses. Particles have been digitally filtered using a set of lithotype rules (also displayed in this data set). These rules are based on the mineral grains in the particles themselves and use their area percent within each particle and their size in microns. The lithotype names stated here are largely assigned based on the dominant mineral grain in each category.</p> <p><strong>Data Set S4. </strong>40Ar/39Ar ages of individual sand-sized hornblende and mica. See main text for method used to generate these ages.</p> <p><strong>Data Set S5.</strong> Ties to place Hole U1538A NGR data on Dove Basin Stack (Reilly et al., 2021) depths.</p> <p><strong>Movie S1. </strong>3D-volume realization based on non-destructive X-ray microtomography imaging of a centimeter-scale iceberg-rafted debris-rich layer in Hole U1538A-36X-3W. 3D images were generated using a helical scanning trajectory that allows for long scan sequences and fast acquisition time. Based on the sample geometry, a voxel (pixel) resolution of ~14-μm was achieved. The 7000+ projection images were reconstructed to produce a 3D volume of image intensities (where higher values indicate greater x-ray attenuation). Avizo software was used for 3D segmentation and volume rendering to visualize gravel and sand to create this animation. The different colors assigned to each clast were chosen arbitrary.</p>
ODP Site 807 benthic foraminiferal carbon and oxygen isotopes during the early Pleistocene
<p>The early Pleistocene benthic isotopic data of ODP 807 generated by this study are available.</p>
FIG. 7 in Mammuthus meridionalis (Nesti, 1825) from Apollonia- 1 (Mygdonia Basin, Northern Greece) and its importance within the Early Pleistocene mammoth evolution in Europe
FIG. 7. — Comparison of the occlusal angle (OA) of various mammoth taxa from various localities in Europe. Data from Van Essen (2011) and obtained from illustrations from Palombo & Ferretti (2005) and Lister et al. (2005).
FIG. 3 in Mammuthus meridionalis (Nesti, 1825) from Apollonia- 1 (Mygdonia Basin, Northern Greece) and its importance within the Early Pleistocene mammoth evolution in Europe
FIG. 3. — Dental remains of Mammuthus meridionalis vestinus (Azzaroli in Ambrosetti, Azzaroli, Bonadonna & Follieri, 1972) from Apollonia-1: A-C, left M3 fragment (APL-686B) in occlusal (A), buccal (B), and lingual (C) views; D-F, left m3 (APL-687) in occlusal (D), lingual (E), and buccal (F) views. Scale bar: 5 cm.
FIG. 2 in Mammuthus meridionalis (Nesti, 1825) from Apollonia- 1 (Mygdonia Basin, Northern Greece) and its importance within the Early Pleistocene mammoth evolution in Europe
FIG. 2. — Right maxilla fragment with DP2-DP3 (APL-225) of Mammuthus meridionalis vestinus (Azzaroli in Ambrosetti, Azzaroli, Bonadonna & Follieri, 1972) from Apollonia-1: ventral (A), medial (B), and lateral (C) views. Scale bar: 5 cm.
FIG. 1. — A in Mammuthus meridionalis (Nesti, 1825) from Apollonia- 1 (Mygdonia Basin, Northern Greece) and its importance within the Early Pleistocene mammoth evolution in Europe
FIG. 1. — A, Geological map and simplified composite stratigraphic column of the Neogene and Quaternary lithostratigraphic units of Mygdonia Basin, showing the location of Apollonia-1 (map and column modified from Koufos et al. [1995] and Konidaris et al. [2015]); B, hemi-mandible APL-716 in situ; C, m3 APL-687 in situ.
FIG. 11 in Mammuthus meridionalis (Nesti, 1825) from Apollonia- 1 (Mygdonia Basin, Northern Greece) and its importance within the Early Pleistocene mammoth evolution in Europe
FIG. 11. — Biochronological and biostratigraphical distribution of Early-early Middle Pleistocene Mammuthus in Europe and chronology of selected localities mentioned in the text (in bold the type localities). Data from references cited in the text.
Fig. 2 in Early Pleistocene lineages of Bagre bagre (Linnaeus, 1766) (Siluriformes: Ariidae), from the Atlantic coast of South America, with insights into the demography and biogeography of the species
Fig. 2. Phylogenetic tree of the Bayesian Inference of the Bagre derived from the concatenated database of the Cytb 1 and ATPase 8/6 genes. Only unique haplotype are included here. The first value on each branch corresponds to the ML support value and the second one to the BI. Only support values and posterior probabilities above 60% are shown. Grey = northern Brazilian coast lineage, including the semi-arid sector of the northeast coast; Black = southern Brazilian coast.
Fig. 6 in Early Pleistocene lineages of Bagre bagre (Linnaeus, 1766) (Siluriformes: Ariidae), from the Atlantic coast of South America, with insights into the demography and biogeography of the species
Fig. 6. Scatterplots of the principal components PC1 and PC2, obtained from the analysis of one meristic and nine morphometric variables in Bagre bagre, with factor loadings for the first principal components. Abbreviations: E, east Brazilian coast; h, humid northeastern coast of Brazil; N, northern Brazilian coast; sa, semi-arid northeastern coast of Brazil; S, southeast Brazilian coast.
Fig. 4 in Early Pleistocene lineages of Bagre bagre (Linnaeus, 1766) (Siluriformes: Ariidae), from the Atlantic coast of South America, with insights into the demography and biogeography of the species
Fig. 4. Genealogiesofthehaplotypesof (A) themitochondrial Cytb gene, based on the TIM2+I+G evolutionary model, and (B) the mitochondrial ATPase 8/6 gene, based on the HKY+G model. Green = northern Brazilian coast influenced by the Amazon–Orinoco plume, Light blue = semi-arid northeastern coast, Orange = southeastern coast.
Fig. 1 in Early Pleistocene lineages of Bagre bagre (Linnaeus, 1766) (Siluriformes: Ariidae), from the Atlantic coast of South America, with insights into the demography and biogeography of the species
Fig. 1. Geographic distribution of the two Bagre bagre lineages found in South America [red triangle = northern Brazilian coast, including region dominated by the plume of the Amazon and Orinoco rivers and semi-arid sector of Brazilian northeast coast (light blue = mouth of the Orinoco River; black circle = Macapá, AP; dark blue circle = Bragança, PA; yellow = São Luis, MA; green = Fortaleza, CE), and inverted black triangle = eastern and southern Brazilian coast, including the humid sector of the northeast coast (white circle = Santos, SP)] showing the number of specimens analyzed in each region (not bold = morphological analysis, and bold = molecular analysis). Green = northern Brazilian coast influenced by the Amazon– Orinoco plume, Light blue = semi-arid northeastern coast of Brazil; Dark blue = humid northeastern coast of Brazil, Yellow = east coast, and Orange = southeast coast).
Fig. 3 in Early Pleistocene lineages of Bagre bagre (Linnaeus, 1766) (Siluriformes: Ariidae), from the Atlantic coast of South America, with insights into the demography and biogeography of the species
Fig. 3. Bayesian strict clock chronogram based on the 1535 bps of the concatenated genes (Cytb and ATPase 8/6). The calibration points and evolutionary rates were based on Betancur-R. & Armbruster (2009).
Fig. 7. A in Early Pleistocene lineages of Bagre bagre (Linnaeus, 1766) (Siluriformes: Ariidae), from the Atlantic coast of South America, with insights into the demography and biogeography of the species
Fig. 7. A. Occurrence of Bagre bagre, Bagre marinus and other species of the genera Amphiarius, Aspistor, Cathorops, Genidens, Notarius, and Sciades, on the Atlantic coast of South America. Numbers of the lots deposited in zoological collections.
Fig. 3 in Magneto-biostratigraphic age constraints on the palaeoenvironmental evolution of the South Caspian basin during the Early-Middle Pleistocene (Kura basin, Azerbaijan)
Fig. 3. Sedimentary log, paleontological sampling points, microfauna assemblages and paleosalinity estimation in the Goychay section.
Fig. 8 in Magneto-biostratigraphic age constraints on the palaeoenvironmental evolution of the South Caspian basin during the Early-Middle Pleistocene (Kura basin, Azerbaijan)
Fig. 8. Sedimentary log, paleontological sampling points, microfauna assemblages and paleosalinity estimation in the Hajigabul section.
Fig. 7 in Magneto-biostratigraphic age constraints on the palaeoenvironmental evolution of the South Caspian basin during the Early-Middle Pleistocene (Kura basin, Azerbaijan)
Fig. 7. Magnetostratigraphy of the Goychay section. In columns, from left to right: Regional (local) stages; Depositional units; Lithological log; Biostratigraphic sampling points: green - mollusc samples, blue - microfauna samples; Magnetic susceptibility (plotted on a logarithmic scale; black line - values for each sample, red line - averaged 3); Inclination; Declination; Interpreted polarity (black - normal, white - reversed). The Akchagylian - Apsheronian transition is drawn based on microfauna (lower limit) and macrofauna (upper limit). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 12 in Magneto-biostratigraphic age constraints on the palaeoenvironmental evolution of the South Caspian basin during the Early-Middle Pleistocene (Kura basin, Azerbaijan)
Fig. 12. Magnetostratigraphy of the Hajigabul section. In columns from left to right: Regional stages; Depositional units; Lithological log; Biostratigraphic sampling points, where green points are mollusc samples and blue points - microfauna samples; Magnetic susceptibility (plotted on a logarithmic scale)); Inclination; Declination; Interpreted polarity. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Magneto-biostratigraphic age constraints on the palaeoenvironmental evolution of the South Caspian basin during the Early-Middle Pleistocene (Kura basin, Azerbaijan)
Fig. 2. Lithostratigraphic subdivision of the Goychay section (A) and the Hajigabul section (B). Logs, general view and characteristic photos of each sedimentary unit.
Fig. 1 in Magneto-biostratigraphic age constraints on the palaeoenvironmental evolution of the South Caspian basin during the Early-Middle Pleistocene (Kura basin, Azerbaijan)
Fig. 1. Location map of the Goychay and Hajigabul sections. Columns on the left: Global polarity time scale (Hilgen et al., 2012) Epoch/Age; Regional Stages: a* classical definition (Shantser, 1982; Arslanov et al., 1988; Nevesskaya et al., 2003, 2004), b* this study. Position of the studied sections in relation to the Caspian Sea (A) and to the Kura Basin (B) (The map base is taken from www.maps-for-free.com); Geological maps for the Goychay section (C) and the Hajigabul section (D) modified after Bairamov et al. (2008).
Fig. 13 in Magneto-biostratigraphic age constraints on the palaeoenvironmental evolution of the South Caspian basin during the Early-Middle Pleistocene (Kura basin, Azerbaijan)
Fig. 13. Correlation of polarity patterns to the Global Polarity Time Scale (GPTS), the main paleoenvironmental events and characteristic mollusc fauna in the Goychay and Hajigabul sections. Sedimentation rate curves: Hajigabul section (A), the Goychay section (B).
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.