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.
2,960
datasets available to search
ShareScore release 0.9.0
Dataset results
2,960 results for “elements”
Figure 12 in A comparative atlas of selected skeletal elements of European urodeles (Amphibia: Urodela) for palaeontological investigations
Figure 12. Caudal vertebrae of European urodeles. A, Salamandrella keyserlingii (BSPGM 5451). B, Proteus anguinus (BSPGM 4538). C, Speleomantes strinatii (MDHC 225). D, Salamandrina perspicillata (MDHC 407). E, Mertensiella caucasica (BSPGM 2730). F, Salamandra salamandra (MDHC 234). G, Salamandra salamandra (MDHC 396). From left to right: anterior, dorsal, lateral (right lateral for A, B, D–F; left lateral for C, G), posterior and ventral views. Scale bars: 1 mm.
Figure 10 in A comparative atlas of selected skeletal elements of European urodeles (Amphibia: Urodela) for palaeontological investigations
Figure 10. Precaudal vertebrae of European urodeles. A, Mertensiella caucasica (MNCN 23821). B–D, Salamandra salamandra (MDHC 396): B, one of the first trunk vertebrae; C, trunk vertebra close to the pelvis; and D, sacral vertebra. E, Calotriton asper (MNCN 16122). From left to right: anterior, dorsal, lateral (right lateral for B, D; left lateral for A, C, E), posterior and ventral views. Scale bars: 1 mm.
Figure 9 in A comparative atlas of selected skeletal elements of European urodeles (Amphibia: Urodela) for palaeontological investigations
Figure 9. Precaudal vertebrae of European urodeles. A, Salamandrella keyserlingii (BSPGM 5451). B, Proteus anguinus (BSPGM 4539). C, first precaudal vertebra of Speleomantes strinatii (MDHC 225). D, precaudal vertebra of Speleomantes strinatii (MDHC 225) close to the pelvis. E, Salamandrina perspicillata (MDHC 228). F, Chioglossa lusitanica (MNCN 16099). From left to right: anterior, dorsal, lateral (right lateral for A, C–F; left lateral for B), posterior and ventral views. Scale bars: 1 mm.
Figure 11 in A comparative atlas of selected skeletal elements of European urodeles (Amphibia: Urodela) for palaeontological investigations
Figure 11. Precaudal vertebrae of European urodeles. A, Euproctus platycephalus (MDHC 405). B, Ichthyosaura alpestris (MDHC 352). C, Lissotriton vulgaris (MDHC 135). D, Ommatotriton vittatus (MNCN 13193). E, Pleurodeles waltl (MDHC 253). F, G, Triturus carnifex (MDHC 38): F, one of the first trunk vertebrae; and G, trunk vertebra close to the pelvis. From left to right: anterior, dorsal, lateral (left lateral for A–C, E, F; right lateral for D, G), posterior and ventral views. Scale bars: 1 mm.
Figure 8 in A comparative atlas of selected skeletal elements of European urodeles (Amphibia: Urodela) for palaeontological investigations
Figure 8. Atlantes of European urodeles. A, Lissotriton vulgaris (MDHC 135). B, Lissotriton vulgaris (MDHC 133). C, Ommatotriton vittatus (MNCN 13193), with right postzygapophyses missing. D, Pleurodeles waltl (MDHC 253). E, Triturus carnifex (MDHC 38). From left to right: anterior, dorsal, lateral (right lateral for A, D; left lateral for B–C, E), posterior and ventral views. Scale bars: 1 mm.
Figure 3 in A comparative atlas of selected skeletal elements of European urodeles (Amphibia: Urodela) for palaeontological investigations
Figure 3. Terminology followed for the precaudal vertebrae (for the use of this word in the present work, see the Terminology section). Trunk vertebra of Lissotriton vulgaris in anterior (A), dorsal (B), left lateral (C), posterior (D) and ventral (E) views. Abbreviations (newly introduced term is in quotes): avc, anterior ventral crest; azc, anterior zygapophyseal crest; con, condyle; cot, cotyle; dia, diapophysis; fsn, foramen of the spinal nerve; 'idor, incisura dorsalis'; ivca, incisura vertebralis caudalis; na, neural arch; nc, neural canal; ncr, neural crest; par, parapophysis; postz, postzygapophyses; prez, prezygapophyses; pvc, posterior ventral crest; pzc, posterior zygapophyseal crest; vc, vertebral centrum; vl, ventral lamina. Notice that in this specimen, the neural spine is absent. Scale bar: 1 mm.
Figure 7 in A comparative atlas of selected skeletal elements of European urodeles (Amphibia: Urodela) for palaeontological investigations
Figure 7. Atlantes of European urodeles. A, Calotriton asper (MNCN 16122). B, Euproctus montanus (BSPGM 4202). C, Ichthyosaura alpestris (MDHC 407). D, Ichthyosaura alpestris (MDHC 391). From left to right: anterior, dorsal, lateral (left lateral for A; right lateral for B–D), posterior and ventral views. Scale bars: 1 mm.
Figure 2 in A comparative atlas of selected skeletal elements of European urodeles (Amphibia: Urodela) for palaeontological investigations
Figure 2. Terminology followed for the atlas. Atlas of Ichthyosaura alpestris in anterior (A), dorsal (B), right lateral (C), posterior (D) and ventral (E) views. Abbreviations: cot, cotyle; fsn, foramen of the first spinal nerve; infcr, inferior crests; ivca, incisura vertebralis caudalis; ivcr, incisura vertebralis cranialis; lcr, lateral crest; na, neural arch; nc, neural canal; ncr, neural crest; odpr, odontoid process; oj, occipital joints; postz, postzygapophyses; scr, secondary crest. Scale bar: 1 mm.
Figure 5 in A comparative atlas of selected skeletal elements of European urodeles (Amphibia: Urodela) for palaeontological investigations
Figure 5. Otic–occipitum complexes of European Pleurodelinae. A, left complex of Calotriton asper (MNCN 16122). B, right complex of Euproctus montanus (BSPGM 4202). C, left complex of Ichthyosaura alpestris (MDHC 416). D, right complex of Lissotriton vulgaris (MDHC 133). E, left complex of Ommatotriton vittatus (MNCN 13193). F, right complex of Pleurodeles waltl (MDHC 253). G, right complex of Triturus carnifex (MDHC 38). H, left complex of Triturus carnifex (MDHC 299). From left to right: anterior, dorsal, lateral, posterior and ventral views. Scale bars: 1 mm.
Figure 6 in A comparative atlas of selected skeletal elements of European urodeles (Amphibia: Urodela) for palaeontological investigations
Figure 6. Atlantes of European urodeles. A, Salamandrella keyserlingii (BSPGM 5451), most probably not completely ossified (see the Material section). B, Proteus anguinus (BSPGM 4538). C, Speleomantes strinatii (MDHC 225), most probably not completely ossified (see the Material section). D, Salamandrina perspicillata (MDHC 407). E, Chioglossa lusitanica (MNCN 16099). F, Mertensiella caucasica (MNCN 23821). G, Salamandra salamandra (MDHC 396). From left to right: anterior, dorsal, lateral (right lateral for A–C, E, F; left lateral for D, G), posterior and ventral views. Scale bars: 1 mm.
Figure 4 in A comparative atlas of selected skeletal elements of European urodeles (Amphibia: Urodela) for palaeontological investigations
Figure 4. Otic–occipitum complexes of European urodeles (Plethodontidae, Salamandrininae and Salmandrinae). A, left complex of Speleomantes strinatii (MDHC 225). B, left complex of Salamandrina perspicillata (MDHC 407). C, right complex of Chioglossa lusitanica (MNCN 16099; ventral view of the left complex because the right one is anomalous; see main text). D, right complex of Mertensiella caucasica (MNCN 23821). E, left complex of Salamandra salamandra (MDHC 227). From left to right: dorsal, ventral, anterior, posterior, medial and lateral views. Scale bars: 1 mm.
Figure 1. Terminology followed for the otic–occipitum complex. A–F in A comparative atlas of selected skeletal elements of European urodeles (Amphibia: Urodela) for palaeontological investigations
Figure 1. Terminology followed for the otic–occipitum complex. A–F, left otic–occipitum complex of Salamandra salamandra from left to right in dorsal, ventral, anterior, posterior, medial and lateral views. G–L, right otic–occipitum complex of Lissotriton vulgaris from left to right in dorsal, ventral, anterior and lateral views. Abbreviations (newly introduced terms are in quotes): 'acav, auditory cavity'; bco, basicapsular commissure; bpr, processus basalis; crr, crista retrosellaris; fba, fenestra basicranialis posterioris; fend, foramen endolymphaticum; ffa, foramen faciale; fo, fenestra ovalis; fper, foramen perylimphaticum; fpo, foramen postoticum; fpro, foramen prooticum; hco, hypochordal commissure; 'lts, lamina of the tectum synoticum'; 'mcr, medial crest'; 'md, middle depression'; occ, occipital cotyle; otpr, otic process; pan, prominentia semicircularis anterioris; par, parietal crest; pcr, parotic crest; pla, prominentia semicircularis lateralis; ppr, parotic process; pps, prominentia semicircularis posterioris; preco, prefacial commissure; spe, sulcus petrosus; sulc, sulcus carotis; tsyn, tectum synoticum. Scale bars: 1 mm.
Data for the Journal article "Reduced whereas still noteworthy atmospheric pollution of trace elements in China"
<p>This dataset provides the trace elements emission inventory with 27km resolution for China in 2017, the model simulated concentrations of trace elements for China in 2017 and the associated health risks of trace elements for China in 2017.</p>
Detection of Ore-forming Elements Migrated from Rock and Soil to Vegetation Leaves using Hyperspectral Data
<p>In this paper we present the detection of ore-forming elements migrated from soil and rock to vegetation leaves using hyperspectral data. The rock, soil (C, B, A layer) and vegetation (root, stem, leaf) samples with the measurements of spectra and element concentrations in the vertical section of the abandoned pits were collected. The wavelet approach is applied to analyze the correlations between spectral features and element concentrations. The results show that the significant correlations are found at a lower order mother wavelets such as Haar. Moreover, the significant correlations are negative between Cu and Mo elements and the wavelet energy vector of the soil and rock to vegetation leaves spectrum. The results also show that ore-forming elements migrated from rock and soil to vegetation leaves can be detected using hyperspectral data in the study area.</p>
Artificial Sphere Clusters Transported on a Conveyor Belt Simulated by a Discrete Element Method
<p>This data set comprises sphere clusters that model particles of construction and demolition waste consisting of brick and sand lime brick while they were transported on a conveyor belt. The motion behavior of the sphere clusters was obtained by a discrete element method (DEM) model of the small-scale optical belt sorter Tablesort.</p> <p>The files contain mid-points, radii, and classes of spheres that build sphere clusters, with each cluster modeling a<br> particle. Input images are generated by rendering the sphere clusters in the camera field of view of the simulated area-scan camera. The particles have diameters from 4 to 8 mm. The simulated mass flows were 70 g per s for sand-lime brick and 30 g per s for brick. The belt velocity is approximately 1.1 m per s. Data is recorded at 2000 fps and covers a simulated time period of 120 s.</p> <p>A detailed description of the DEM model can be found in</p> <ul> <li>Albert Bauer, Georg Maier, Marcel Reith-Braun, Harald Kruggel-Emden, Florian Pfaff, Robin Gruna, Uwe Hanebeck, Thomas Längle,<br> <strong>Towards a Feed Material Adaptive Optical Belt Sorter: A Simulation Study Utilizing a DEM-CFD Approach</strong>, Powder Technology, October 2022.</li> </ul> <p> A thorough description of the Tablesort system can be found in</p> <ul> <li><em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer,</em><br> <strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>,<br> Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/inside-schuettgut.html">project website</a>.</li> </ul> <p>To this date, publications that used this data include</p> <ul> <li> <p><em>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas L</em><em>ä</em><em>ngle, </em><em>Jü</em><em>rgen Beyerer, Harald Kruggel-Emden</em><em>, and</em><em> Uwe D. Hanebeck,</em><br> <strong>GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs</strong>,<br> <em>2</em><em>2nd</em><em> IFAC World Congress</em>, Yokohama, Japan, July 2023.</p> </li> </ul> <p>The used CSV format uses semicolons as separators. There is no header. The first three columns correspond to the x-, y-, and z-coordinate of each sphere in meters, with increasing x-coordinate in the transport direction. The fourth column contains the radii in meters, the fifth column the particle class (2 for sand-lime brick and 1 for brick), and the sixth column the particle ids to which the spheres belong. The file name encodes the simulated time in steps of 0.5 ms. Each file contains as many rows as spheres are visible in the respective time step. The field of view of the simulated camera is 0.442 m - 0642 m in the x-direction and 0.005 m - 0.145 m in the y-direction.</p> <p><strong>Acknowledgment</strong></p> <p>The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.</p>
Data for the publication by Mouchi et al "A step towards measuring connectivity in the deep-sea: elemental fingerprints of mollusk larval shells discriminate hydrothermal vent sites"
<p>This is the elemental data collected by fsLA-ICP-MS-MS on 600 individual larval shells of the hydrothermal-vent limpet Shinkailepas tollmanni from 14 sites in the Southwest Pacific Ocean.</p> <p>The first column indicates the sample ID corresponding to onship sample during the scientific cruise CHUBACARC (Hourdez & Jollivet, 2019).</p> <p>The second column indicates the S. tollmanni sample ID from the publication of Mouchi et al.</p> <p>Columns 3 to 15 correspond to elemental abundances measured.</p> <p>Column 16 to 18 correspond to the region, area and hydrothermal sites, respectively, for each larval shell.</p> <p> </p> <p>Hourdez, S., Jollivet, D., 2019. CHUBACARC cruise, <em>L’Atalante R/V</em>. doi: 10.17600/18001111.</p>
EAMv2 anthropogenic aerosol emissions data in model-native spectral-element grid
<p>Anthropogenic aerosol emissions data from surface and elevated sources in E3SM Model-native grid. Data available for standard uniform resolution in EAMv2 (ne30pg2) and North America Regionally Refined Model (NA RRM). Data were prepared as a part of the improved emission treatment in E3SMv2 (available at: https://doi.org/10.5281/zenodo.7823633).</p>
Supplementary data to 'Coupling between cohesive element method and Node-to-segment contact algorithm : Implementation and application'
<p>This archive contains the data and the scripts for the simulations presented in the paper</p> <p>Pundir, M., Guillaume, A. "Coupling between cohesive element method and Node-to-segment contact algorithm : Implementation and application'" (2020)</p>
Dataset for "Population-level transposable element expression dynamics influence trait evolution in a fungal crop pathogen"
<p><strong>Supplementary Tables</strong></p> <p><strong>Supplementary Table S1: </strong>SRA accession list of RNAseq reads.</p> <p><strong>Supplementary Table S2:</strong> Genomic localization of TEs in gene elements and 10 kb windows upstream and downstream of the transcription start site (TSS) in the reference genome IPO323.</p> <p><strong>Supplementary Table S3:</strong> Genome-wide TE insertion polymorphism (TIPs) in the pathogen population. 0 represents TE absence and 1 represents TE presence.</p> <p><strong>Supplementary Table S4:</strong> Gene expression (log-transformed RPKM) values across the population.</p> <p><strong>Supplementary Table S5:</strong> Locus-specific transcript abundance at individual TE loci (FPKM) across individuals.</p> <p><strong>Supplementary Table S6:</strong> Percent of expressed copies within each TE family in the reference genome IPO323 and percent expressed TE copies in each TE family across the population.</p> <p><strong>Supplementary Table S7:</strong> Linkage disequilibrium of TIP in the genome and neighboring SNPs within the 600bp distance from the TE loci.</p> <p><strong>Supplementary Table S8:</strong> Genome-wide association mapping of the virulence-associated trait (PLACP: percent leaf area covered by pycnidia) and TE insertion polymorphisms in the genome.</p> <p><strong>Supplementary Table S9:</strong> TIPs in the genome significantly associated with metabolite peak intensity variation in the pathogen population (filtered by Bonferroni threshold).</p>
Supplementary Data for "The impetus for bloom of Mesozoic terrestrial ecosystems in northern China: Insights from volcanic nutrient and harmful element delivery" in GRL.
<p>Supplementary data tables for Ma et al. (2023) associated with the paper entitled "The impetus for bloom of Mesozoic terrestrial ecosystems in northern China: Insights from volcanic nutrient and harmful element delivery" published in <em>GRL</em>.</p>
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.