Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
535
datasets available to search
ShareScore release 0.9.0
Dataset results
535 results for “quaternary”
Figure 3 in Quaternary range dynamics and taxonomy of the Mediterranean collared dwarf racer, Platyceps collaris (Squamata: Colubridae)
Figure 3. Species distribution models for Platyceps collaris in current conditions (A) and in conditions during the Last Glacial Maximum (B), the Last Interglacial (C), mid-Pleistocene (D) and mid-Pliocene (E). Black points in A indicate the records that were used for the species distribution modelling. The bottom right panel shows reconstructions of global temperature in the last 4 Myr relative to the peak Holocene temperature (Hansen & Sato, 2012), with grey arrows and dashed lines highlighting the temperature in the time periods used in the present study.
Data from: The sensitivity of Neotoma to climate change and biodiversity loss over the late Quaternary
<p>The late Quaternary was a time of considerable environmental change in North America. Not only was climate highly variable, but a megafaunal extinction at the terminal Pleistocene led to considerable loss of biodiversity. These combined perturbations likely had cascading effects across communities and ecosystems. Here, we focus on a detailed fossil record on the Edwards Plateau in Texas and the response of <em>Neotoma</em>, a genus of herbivorous rodents, to these environmental and ecological perturbations. We characterized changes in <em>Neotoma</em> body mass and diet across the past 20,000 years; body mass was estimated using measurements of fossil teeth and diet quantified using stable isotope analysis of carbon and nitrogen isotope from fossil bone collagen. We found that prior to ~7,000 cal yr BP, maximum mass was positively and significantly correlated to precipitation and negatively correlated to temperature. Independently, body mass was significantly and negatively correlated to communtiy composition becoming more similar to modern over time. Moreover, while <em>Neotoma</em> diet in the Pleistocene was primarily sourced from C<sub>3</sub> resources, it became progressively more reliant on C<sub>4</sub> (and potentially CAM) plants through the Holocene. The combination of decreasing population body mass and higher C<sub>4</sub>/CAM consumption was associated with a regional transition from a mesic forest to a xeric savanna grassland. Our results suggest that <em>Neotoma</em> during the terminal Pleistocene were responding to climatic factors through changes in body size, while changes in local resource availability during the Holocene likely led to changes in the relative abundance of different <em>Neotoma</em> species in the community. </p>
FIGURE 1 in A new oryzomyine (Rodentia: Sigmodontinae) from the Quaternary of Curaçao (West Indies)
FIGURE 1. Type series of Dushimys larsi. All teeth are figured as if they were from the left. 1, M1 (RGM 592814); 2, M2 (RGM 592817); 3, M3 (RGM 592819, reversed); 4, m1 (RGM 592822); 5, m2 (RGM 592825, reversed); 6, m3 (RGM 592830, reversed; holotype).
Quaternary magnetic stratigraphy of deep-sea sediments in the western North Pacific: Influences of paleomagnetic recording efficiency and lock-in delay
<p>This archive file contains all data produced in the paper "Quaternary magnetic stratigraphy of deep-sea sediments in the western North Pacific: Influences of paleomagnetic recording efficiency and lock-in delay" submitted to Journal of Geophysical Research: Solid Earth.</p>
Quaternary diversity dynamics of Australian reptiles - Electronic supplement
<p>Supplement paper 2</p> <p><em>Electronic data files</em></p> <p>File ES2.1 - Metadata for the included specimens (.xlsx)</p> <p>File ES2.2 – Folder containing surface models (.ply) of the crania of the included specimens, landmark pairs, and sliding landmark data</p> <p>File ES2.3a – 3D landmark coordinates of maxillae (.tps)</p> <p>File ES2.3b – 3D landmark coordinates of maxillae (missing data estimated, curves equidistant) (.tps)</p> <p>File ES2.4a – 3D landmark coordinates of frontals (.tps)</p> <p>File ES2.4b – 3D landmark coordinates of frontals (missing data estimated, curves equidistant) (.tps)</p> <p>File ES2.5 – R code for evaluating landmark estimation (.R)</p> <p>File ES2.6 – R code for estimating effects of sample size (.R)</p> <p>File ES2.7 – R code for estimating effects of missing landmarks (.R)</p> <p>File ES2.8 – Results of landmark estimation performance analyses (.csv)</p> <p>File ES2.9 – Pairwise Procrustes distances of different groupings and CVA results (maxillae; .xlsx)</p> <p>File ES2.10 - Pairwise Procrustes distances of different groupings and CVA results (frontals; .xlsx)</p> <p>File ES2.11 - Pairwise Procrustes variances of different groupings (maxillae; .xlsx)</p> <p>File ES2.12 - Pairwise Procrustes variances of different groupings (frontals; .xlsx)</p> <p>File ES2.13 – Results of sample size analyses (.csv)</p> <p>File ES2.14 – Results of missing landmarks analyses (.csv)</p> <p>File ES2.15 – Results of estimation vs. deletion analyses (.xlsx)</p> <p> </p> <p>Supplement paper 3</p> <p><em>Electronic data files</em></p> <p>File ES3.1 – Metadata for the included specimens (.csv)</p> <p>File ES3.2 – Folder containing landmark file (.tps) and bilateral landmark pairs (.txt)</p> <p>File ES3.3 – Metadata for the specimens included in compactness analyses and results of the compactness measurements (.csv)</p> <p>File ES3.4 – ImageJ Macro for measuring vertebral compactness (.ijm)</p> <p>File ES3.5 – Accuracy of classifications using CVA (.xlsx)</p> <p>File ES3.6 – Results of Procrustes ANOVAs testing for influences of taxonomic groupings, size, and the interaction of grouping and size on vertebral shape (.txt)</p> <p>File ES3.7– Typicality probabilities of fossils belonging to extant species (.xlsx)</p> <p>File ES3.8 – Procrustes distances between fossils of different sites / groupings and extant species (.xlsx)</p> <p>File ES3.9 – Procrustes variance in juvenile versus adult specimens (.xlsx)</p> <p>File ES3.10 – Phylogenetic signal of shape results (.txt)</p> <p>File ES3.11 – Results of the trajectory analyses (.xlsx)</p> <p> </p> <p>Supplement paper 4</p> <p><em>Electronic data files</em></p> <p>File ES4.1 – Metadata for tissue specimens and data for correlation analyses (.csv)</p> <p>File ES4.2 – Folder containing surface models (.ply) of the included crania</p> <p>File ES4.3 – Metadata for alcohol specimens (maxillae) (.csv)</p> <p>File ES4.4 – Metadata for alcohol specimens (<em>Rankinia</em> maxillae) (.csv)</p> <p>File ES4.5 – Metadata for alcohol specimens (<em>Rankinia</em> crania) (.csv)</p> <p>File ES4.6 – 3D landmark coordinates of maxillae (.tps)</p> <p>File ES4.7 – Folder containing 3D landmark files and landmark pairs of population cluster analyses</p> <p>File ES4.8 – Procrustes distances between genera means, plus statistics (.xlsx)</p> <p>File ES4.9 – R code for evaluating landmark estimation (.R)</p> <p>File ES4.10 – Occurrence points used for creating the niche models (.csv)</p> <p>File ES4.11 – Folder containing SNAPP tree files (.trees) and log files (.log) of the 4 SNAPP runs</p> <p>File ES4.12 – Model outputs of SSDM ensemble models using different GCMs (.xlsx)</p> <p> </p> <p>Supplement paper 5</p> <p><em>Electronic data files</em></p> <p>File ES5.1 – Supplementary references (.docx)</p> <p>File ES5.2 – Body size, microhabitat and spiny tail data of the 2877 squamate species used in the study (.csv)</p> <p>File ES5.3 – Tree file (.tre)</p> <p>File ES5.4 – Results of the D statistic (.csv)</p> <p>File ES5.5 – Results of the fitPagel funtion (.csv)</p> <p>File ES5.6 – Phylogenetic ANOVA results (spiny tails vs microhabitat) (.csv)</p> <p>File ES5.7 – Phylogenetic ANOVA results (spiny tails vs. body size) (.csv)</p> <p>File ES5.8 – Phylogenetic logistic regression results (.csv)</p> <p>File ES5.9 – Phylogenetic ANOVA results (microhabitat vs body size) (.csv)</p> <p>File ES5.10 – Results of the HiSSE models (.csv)</p>
Late-Quaternary megafauna extinctions have strongly reduced mammalian vegetation consumption
<p>Scrips and data for recreating the results and figures in the paper Late-Quaternary megafauna extinctions have strongly reduced mammalian vegetation consumption<br> DOI: 10.1111/geb.13723<br> Journal Global Ecology and Biogeography:<br> <a href="https://onlinelibrary.wiley.com/doi/full/10.1111/geb.13723">https://onlinelibrary.wiley.com/doi/full/10.1111/geb.13723</a></p> <p>The three folders work as stand alone R-Studio projects, for estimating metabolic rates, densities, and the finally calculating total carbon consumption and creating summary statistics and figures. They require PHYLACINE v. 1.2.1 (https://zenodo.org/record/3690867) to be in another folder next to them.</p>
Photophysical and Spectroscopic dataset for Ag–In–Zn–S Quaternary Nanocrystals Prepared from InCl2 Precursor as Visible Light Photocatalysts of Aromatic Aldehyde Photoreduction
<p>(1) Energy-dispersive spectra of alloyed Ag-In-Zn-S nanocrystals before (Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R) and Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub>(S<sub>28.3</sub>) (G)) and after the exchange of initial capping ligands for 11-mercaptoundecanoic acid (Ag<sub>1.0</sub>In<sub>1.3</sub>Zn<sub>0.5</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R-MUA) and (Ag<sub>1.0</sub>In<sub>2.7</sub>Zn<sub>30.0</sub>S<sub>90.0</sub>(S<sub>34.5</sub>) (G-MUA)).</p> <p>(2) HR-TEM images of Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R) and Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub>(S<sub>28.3</sub>) (G) alloyed nanocrystals.</p> <p>(3) UV-vis-NIR spectra of toluene dispersion of Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R), Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub>(S<sub>28.3</sub>) (G) and water dispersion of Ag<sub>1.0</sub>In<sub>1.3</sub>Zn<sub>0.5</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R-MUA), Ag<sub>1.0</sub>In<sub>2.7</sub>Zn<sub>30.0</sub>S<sub>90.0</sub>(S<sub>34.5</sub>) (G-MUA) nanocrystals.</p> <p>(4) Photoluminescence excitation and emission spectra of toluene dispersion of Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R), Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub>(S<sub>28.3</sub>) (G) nanocrystals and the corresponding spectra of water dispersion of Ag<sub>1.0</sub>In<sub>1.3</sub>Zn<sub>0.5</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R-MUA), Ag<sub>1.0</sub>In<sub>2.7</sub>Zn<sub>30.0</sub>S<sub>90.0</sub>(S<sub>34.5</sub>) (G-MUA) nanocrystals.</p> <p>(5) Photoluminescence decay curves of toluene dispersion of Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R), Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub>(S<sub>28.3</sub>) (G) and water dispersion of Ag<sub>1.0</sub>In<sub>1.3</sub>Zn<sub>0.5</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R-MUA), Ag<sub>1.0</sub>In<sub>2.7</sub>Zn<sub>30.0</sub>S<sub>90.0</sub>(S<sub>34.5</sub>) (G-MUA) nanocrystals.</p> <p>(6) XPS survey and high-resolution spectra of alloyed Ag-In-Zn-S nanocrystals before Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R) and Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub>(S<sub>28.3</sub>) (G) and after the exchange of initial capping ligands for 11-mercaptoundecanoic acid (Ag<sub>1.0</sub>In<sub>1.3</sub>Zn<sub>0.5</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R-MUA) and Ag<sub>1.0</sub>In<sub>2.7</sub>Zn<sub>30.0</sub>S<sub>90.0</sub>(S<sub>34.5</sub>) (G-MUA)).</p> <p>(7) <sup>1</sup>H, <sup>1</sup>H-<sup>1</sup>H COSY and <sup>13</sup>C, <sup>1</sup>H-<sup>13</sup>C HMQC NMR spectra of the photocatalytic reduction reaction mixture used for the photocatalytic reduction of 4-chlorobenzaldehyde and furfural.</p> <p>(8) GC chromatogram of the photocatalytic reduction reaction mixture used for photocatalytic reduction of 4-chlorobenzaldehyde.</p> <p>(9) DMPO spin-trapping EPR spectra of toluene dispersion of Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R), Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub>(S<sub>28.3</sub>) (G) nanocrystals and reaction mixture used for the photocatalytic reduction of furfural.</p> <p> </p> <p>This work was supported by the National Science Centre of Poland, Grant No. 2022/45/B/ST5/02120.</p>
Virus Capsomer Model [quaternary structure]
PICORNAVIRIDAE – Designing Model and Visualization Concepts in Virology Educational T=3 [and T=pseudo3] Virus Structure Model [assembly unit 08/08] Schematic interpretation of virus protein tertiary structures – showing the main primary structures [ β-jelly-roll and α-helices]. Arranged according to the wedge-shape structure [1]. Based on early schematic protein diagrams [Richardson: 1977] and protein ribbon diagrams [Richardson: 1985]. Source: Objaverse 1.0 / Sketchfab
Quaternary Ammonium Methacryloxy Silicate-containing Acrylic Resin
ClinicalTrials.gov study NCT02525458. IPD Sharing: Not stated. Countries: 1. Publications: 32.
Influence of annealing atmosphere on performances of CIGS film by sputtering from quaternary targets
Open the record for dataset details and reuse information.
Data from: Resilience of plant-insect interactions in an oak lineage through Quaternary climate change
Open the record for dataset details and reuse information.
Data from: Genetic relationships between Atlantic and Pacific populations of the notothenioid fish Eleginops maclovinus: the footprints of Quaternary glaciations in Patagonia
Open the record for dataset details and reuse information.
Regionally divergent drivers of historical diversification in the late Quaternary in a widely distributed generalist species, the common pheasant Phasianus colchicus
Open the record for dataset details and reuse information.
Big, flightless, insular, and dead: characterizing the extinct birds of the Quaternary
Open the record for dataset details and reuse information.
Data from: Benthic communities under anthropogenic pressure show resilience across the Quaternary
Open the record for dataset details and reuse information.
Data from: Estimating the molecular evolutionary rates of mitochondrial genes referring to Quaternary Ice Age events with inferred population expansions and dispersals in Japanese Apodemus
Open the record for dataset details and reuse information.
Data from: The sensitivity of Neotoma to climate change and biodiversity loss over the late Quaternary
Open the record for dataset details and reuse information.
Data from: Geological and climatic changes in quaternary shaped the evolutionary history of Calibrachoa heterophylla, an endemic South-Atlantic species of petunia
Open the record for dataset details and reuse information.
Data from: Environmental correlates of the Late Quaternary regional extinctions of large and small Palaearctic mammals
Open the record for dataset details and reuse information.
Data from: Climate warming and humans played different roles in triggering Late Quaternary extinctions in east and west Eurasia
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
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.