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Figure 2 from: Phung C-C, Yong Y-Z, Said MAM, Liew T-S (2018) Land snail fauna in Gunung Kuang Limestone Hill, Perak, Malaysia and its conservation implications (Mollusca, Gastropoda). ZooKeys 769: 1-11. https://doi.org/10.3897/zookeys.769.25571
Figure 2 Microcystina 'kuang 2' (BORMOL 13769).
Figure 4 from: Phung C-C, Yong Y-Z, Said MAM, Liew T-S (2018) Land snail fauna in Gunung Kuang Limestone Hill, Perak, Malaysia and its conservation implications (Mollusca, Gastropoda). ZooKeys 769: 1-11. https://doi.org/10.3897/zookeys.769.25571
Figure 4 Kaliella 'kuang 1' (BORMOL 13787).
Figure 3 from: Phung C-C, Yong Y-Z, Said MAM, Liew T-S (2018) Land snail fauna in Gunung Kuang Limestone Hill, Perak, Malaysia and its conservation implications (Mollusca, Gastropoda). ZooKeys 769: 1-11. https://doi.org/10.3897/zookeys.769.25571
Figure 3 Microcystina 'kuang 3' (BORMOL 13767).
Figure 1 from: Phung C-C, Yong Y-Z, Said MAM, Liew T-S (2018) Land snail fauna in Gunung Kuang Limestone Hill, Perak, Malaysia and its conservation implications (Mollusca, Gastropoda). ZooKeys 769: 1-11. https://doi.org/10.3897/zookeys.769.25571
Figure 1 Microcystina 'kuang 1' (BORMOL 13768).
Figure 1 from: Shaoli M, Hao Y, Chao L, Yafu Z, Fuming S, Yuchao W (2018) The complete mitochondrial genome of Xizicus (Haploxizicus) maculatus revealed by next-generation sequencing and phylogenetic implication (Orthoptera, Meconematinae). ZooKeys 773: 57-67. https://doi.org/10.3897/zookeys.773.24156
Figure 1 Circular visualization of the mitogenome of Xizicus (Haploxizicus) maculatus.
Figure 2 from: Qin J, Liu X, Xu Y, Wu X, Ouyang S (2019) Beta diversity patterns of fish and conservation implications in the Luoxiao Mountains, China. ZooKeys 817: 73-93. https://doi.org/10.3897/zookeys.817.29337
Figure 2 Fish composition from the streams of the Luoxiao Mountains.
Figure 1 from: Qin J, Liu X, Xu Y, Wu X, Ouyang S (2019) Beta diversity patterns of fish and conservation implications in the Luoxiao Mountains, China. ZooKeys 817: 73-93. https://doi.org/10.3897/zookeys.817.29337
Figure 1 Map showing the sampling location of the streams of the Luoxiao Mountains.
Manual cross-validation data for the article: "Comparison of bibliographic data sources: Implications for the robustness of university rankings"
<p>These are sets of data collected from the manual cross-validation of DOIs (and related research outputs) that are sampled from Web of Science (WoS), Scopus and Microsoft Academic (MSA). For each of the 15 universities, we initially collect all DOIs indexed by each of the three bibliographic sources. Subsequently, we randomly sample 40, 30 and 30 DOIs from sets of DOIs that are exclusively indexed by WoS, Scopus and MSA, respectively, for each university. A manual cross-validation process is then followed to validate certain characteristics across the data sources. This cross-validation process was carried out by a data wrangler, on a part-time basis over a few months, for which online data was accessed from 18 December 2018 to 20 May 2019.</p>
Fig. 4 in Spatial distribution of Culicidae (Diptera) larvae, and its implications for Public Health, in five areas of the Atlantic Forest biome, State of São Paulo, Brazil
Fig. 4. Spatial distribution of the species found in the Santa Alice rural districts.
Fig. 5 in Spatial distribution of Culicidae (Diptera) larvae, and its implications for Public Health, in five areas of the Atlantic Forest biome, State of São Paulo, Brazil
Fig. 5. Semi-variograms of Shannon and Simpson diversity indices.
Fig. 2 in Record of postmortem injuries caused by the Neotropical social wasp Agelaia fulvofasciata (Degeer) (Hymenoptera, Vespidae) on pig carcasses in the Eastern Amazon region: implications in forensic taphonomy
Fig. 2. Arrow pointing biotaphonomic activity of specimens of Agelaia fulvofasciata.
Text-fig. 1. Location of the study area (Ďurkovec quarry). in The Priabonian Bryozoan-Decapod Association From The Borové Formation (The Ďurkovec Quarry, Ne Slovakia) And Its Palaeoecological Implications
Text-fig. 1. Location of the study area (Ďurkovec quarry).
Family Educational Role in Facing Gender-Based Violence in Early Childhood: Implications for Primary Education
<p>The dataset for the study "Family Educational Role in Facing Gender-Based Violence in Early Childhood: Implications for Primary Education" comprises comprehensive survey data collected from 340 fathers and 340 mothers in Amman, Jordan. The data include detailed responses on parental knowledge of gender-based violence (GBV), practical strategies employed to prevent GBV, and perceptions influenced by educational qualifications, employment types, and family size. The dataset is instrumental in understanding the family's role in combating GBV in early childhood and highlights the need for targeted educational programs. This dataset is archived with Mendeley, providing valuable insights for researchers, educators, and policymakers.</p>
Fig. 2 in Atergatis Subdentatus (De Haan, 1835), Atergatopsis Germaini A. Milne Edwards, 1865 And Platypodia Eydouxi (A. Milne Edwards, 1865) (Crustacea: Decapoda: Xanthoidea: Xanthidae: Zosiminae) - First Stage Zoeal Descriptions With Implications For The Subfamily
Fig. 2. Atergatis floridus (Linnaeus, 1767) first stage zoea; a) maxillule; b) maxilla; c) telson.
Sublattice disorder and Fe-Mg substitution in brucite implication for the subduction-zone water cycle
<p>This is the raw dataset for figures in "<span>Sublattice disorder and Fe-Mg substitution in brucite: implication for</span><span> the</span><span> subduction</span><span>-</span><span>zone water cycle"</span></p>
Data used in the manuscript entitled: The Curious Case of Short Fault Scarp in the Podhale Basin (Western Carpathians): implications for Late Pleistocene geodynamics
<p><strong>Manuscript Abstract: </strong>Areas with low deformation rates, such as continental interiors or mature orogens like the Western Carpathians, may represent significant seismic hazard zones, albeit still insufficiently recognized. Relatively low-magnitude earthquakes occurring in such regions pose challenges for paleoseismology, despite occasional documented surface fault ruptures. However, all these ruptures fit the empirical displacement-length scaling relationships. This study focuses on a scarp located in the Podhale Basin (Central Western Carpathians) that deviates from these empirical laws. Despite its relatively short length of only 3 km, the scarp, measuring up to 8 m in height, presents several indications of its tectonic origin. Geophysical GPR and ERT surveys revealed a vertical discontinuity directly beneath the scarp. We identified distinct features interpreted as a fault zone in a trench across the scarp. Lacking material suitable for dating, we estimated the age of the fault scarp at 26.3 ± 14.5 ka using simple linear diffusion modeling. However, this result requires caution due to assumptions like scarp formation from a single event. Yet, the consistency of the estimated age with the superposition of the scarp relative to the morphology and weathered covers from the last glaciation is noteworthy. Furthermore, morphological and geological mapping suggests the dextral oblique kinematics of the studied fault. The prevailing trend of NE (NNE) compression across the Podhale and Orava basins and the Tatra Mountains aligns the dextral Brzegi fault with the broader Alpine-Carpathian geodynamic framework. The Brzegi fault, as part of the broader Białka fault zone, provides evidence of far-field effects, serving as an NNW-striking dextral antithetic fault to major sinistral NE-SW striking faults. The recognized pattern indicates the continued post-Miocene Alpine extrusion toward the Carpathians. </p> <p><strong>In this dataset, we make available:</strong></p> <p>iPhone13Pro LiDAR scan of the trench (texture_output)</p> <p>high-resolution orthophotomosaic (Brzegi_trench.tif)</p> <p>PDF file with methods and results of simple linear scarp diffusion modeling</p> <p>PDF file with methods and all geophysical profiles surveyed with electrical resistivity tomography (ERT), induced polarization tomography (IP), and ground-penetrating radar (GPR) </p> <p> </p>
Supplementary datasets for "Investigating the solid-state reordering kinetics of rudist fossils: clumped isotope analysis of shells with different burial histories and associated paleoclimatic implications"
<p>Supplementary datasets for submission of manuscript titled "Investigating the solid-state reordering kinetics of rudist fossils: clumped isotope analysis of shells with different burial histories and associated paleoclimatic implications" by the following authors: </p> <p>Barbora Křížová (1,2), Niels J. de Winter (3,4), Martin Ziegler (5), Alberto Riva (1), Philippe Claeys (4), Steven Goderis (4), Deborah Arbulla (6), and Gianluca Frijia (1)<br>1Department of Physics and Earth Sciences, University of Ferrara, Italy; 2Laboratoire de Géologie de Lyon: Terre - Planètes – Environnement, UMR CNRS 5276, Université Claude Bernard Lyon 1, ENS de Lyon, France; 3Faculty of Science, Vrije Universiteit Amsterdam, The Netherlands; 4Archaeology, Environmental Changes and Geo-Chemistry Group, Vrije Universiteit Brussel, Belgium; 5Earth Science Department, Utrecht University, The Netherlands; 6Museum of Natural History in Trieste, Italy</p> <p><span> </span></p>
Integrative determination of atomic structure of mutant huntingtin exon 1 fibrils implicated in Huntington disease — data files
<div>This zenodo entry contains MD and solid-state NMR data files for the paper:</div> <div> </div> <div><strong><em>Mahdi Bagherpoor Helabad et al. (2024) Integrative determination of atomic structure of mutant huntingtin exon 1 fibrils implicated in Huntington disease</em></strong></div> <div> </div> <h2> </h2> <h2>MD datasets and code</h2> <div>We provide here (in <strong>MD_simulations_data_codes.zip</strong>) the MD simulations files for the MD runs and also data, and their respective codes, shown in the figures of the above papers.</div> <div> </div> <div>Data file structure: </div> <p><strong>MD_data </strong></p> <ul> <li>The MD simulation run files for three fully periodic systems—PolyQ15 and HTTex1—include the following: .gro files for both minimization and final structures, production .tpr files, force field parameters, GROMACS .mdp files, and position and dihedral restraint files. <ul> <li>fully_periodic_systems</li> <li>polyQ15</li> <li>HTTex1</li> </ul> </li> </ul> <p><strong>Figs_Data_Codes</strong></p> <div> <ul> <li>The data and in-house Python scripts associated with creating the figures: <ul> <li>Fig2B_S4 for Figure 2B and Supplementary Figure 4</li> <li>Fig2D_S5 for Figure 2D and Supplementary Figure 5</li> <li>Fig3C_S10 for Figure 3C and Supplementary Figure 10</li> <li>Fig4_S12_S13_S14 for Figure 4C and Supplementary Figures 12–14</li> <li>Fig6C for Figure 6C</li> <li>FigS3B_S6 for Supplementary Figures 3B and 6</li> <li>FigS8 for Supplementary Figure 8</li> <li>FigS9_S11 for Supplementary Figures 9–11</li> <li>FigS16_to_S21 for Supplementary Figures 16–21</li> <li>FigS22 for Supplementary Figure 22</li> <li>readMe.txt <div> </div> </li> </ul> </li> </ul> </div> <div><strong>Fig6_c_barplot_data.xlsx</strong></div> <div> <ul> <li>Excel file with data plotted in Figure 6C.</li> </ul> <p><strong>N17_SecStr_convergence.xlsx</strong></p> <div> <ul> <li>Excel file with convergence data for N17 domain.</li> </ul> </div> </div> <h2>Solid-state NMR data</h2> <div>We provide here the solid-state NMR spectrum files for the data shown in figures of the above paper.</div> <div> </div> <div>Data file structure:</div> <div> </div> <div><strong>SSNMR_data_listing_20241011a.txt</strong></div> <div> <ul> <li>text file describing the ssNMR data files</li> </ul> </div> <div><strong>SSNMR_data.zip</strong></div> <ul> <li>Figure_1 - data for Figure 1F</li> <li>Figure_5 - data for Figure 5</li> <li>Figure_6 - data for Figure 6</li> <li>Figure_S7 - data for Figure 2G and Supplementary Figure 7</li> <li>Figure_S15 - NMR data for HDX ssNMR of fibrils – Supplementary Figure 15</li> </ul> <div><strong>Fig6_b_barplot_data.xlsx</strong></div> <div> <ul> <li>Excel file with data plotted in Figure 6B, based on previously reported results (DOI 10.1038/ncomms15462)</li> </ul> </div> <div> </div> <div>Data are provided in either Bruker Topspin format, or in NMRPIPE format (ft2 extension).</div> <div>Experimental parameters are described in the published paper and its Supplementary Information files. In general, these are all data from magic-angle-spinning (MAS) NMR studies of intact amyloid fibrils made with isotope labeled HTTex1 fibrils. Experimental types include 2D CP-DARR, 2D TOBSY, 2D HETCOR spectra as well as relaxation measurements. Aside from NMR datafiles, also documents with interpreted and integrated data are included, used to make data curves in the figure (e.g. for Prism software).</div> <div> </div> <div> </div> <div> </div>
Data from: Functional implications of omnivory for dietary nutrient balance
Captive experiments have shown that many species regulate their macronutrient (i.e. protein, lipid and carbohydrate) intake by selecting complementary food types, but the relationships between foraging strategies in the wild and nutrient regulation remain poorly understood. Using the pine marten as a model species, we collated available data from the literature to investigate effects of seasonal and geographic variation in diet on dietary macronutrient balance. Our analysis showed that despite a high variety of foods comprising the diet, typical of a generalist predator, the macronutrient energy ratios of pine martens were limited to a range of 50–55% of protein, 38–42% of lipids and 5–10% of carbohydrates. This broad annual stabilisation of macronutrient ratios was achieved by using alternative animal foods to compensate for the high fluctuation of particular prey items, and sourcing non-protein energy (carbohydrates and fats) from plant-derived foods, particularly fruits. Macronutrient balance varied seasonally, with higher carbohydrate intake in summer–autumn, due to opportunistic fruit consumption, and higher protein intake in winter–spring. In terms of their proportional dietary carbohydrate intake the pine marten's nutritional strategy fell between that of true carnivores (e.g. the wolf) and more omnivorous feeders (e.g. the European badger). However, in terms of energy contributed by protein pine martens are equivalent to obligate carnivores such as the wolf and domesticated cat, and different to some omnivorous carnivores such as the domesticated dog and grizzly bears.
FIG. 11. – Distribution des stades d in Les objets de parure associés au dépôt funéraire mésolithique de Grosse Ofnet: implications pour la compréhension de l'organisation sociale des dernières sociétés de chasseurs-cueilleurs du Jura Souabe
FIG. 11. – Distribution des stades d'usure de la face occlusale des canines pour chacun des crânes.
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.