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.
2,947
datasets available to search
ShareScore release 0.7.1
Dataset results
2,947 results for “Snail”
Fig. 12. Holotypes. A–C. H in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species
Fig. 12. Holotypes. A–C. H. lozekiana sp. nov. (NHMW 113638). D–E. H. steffeki sp. nov. (NHMW 113640). Scale bar = 500 µm.
Fig. 1 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species
Fig. 1. Current distribution of Hauffenia Pollonera, 1898 in relation to the extension of the Pannonian Sea 10 Ma.
Fig. 17 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species
Fig. 17. Penes (SEM micrographs). A–B. H. lozekiana sp. nov. (different specimens). C–E. H. steffeki sp. nov. (one specimen). Arrow points at penial stylet, which is withdrawn in A and B. Scale bars: A–C = 50 µm; D = 10 µm; E = 2 µm.
Fig. 9 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species
Fig. 9. Phylogenetic time-tree from Bayesian analysis in BEAST based on COI. Specimens identified by two-digit locality code in bold, four digit individual DNA code, and orographic unit (see Table 1) or GenBank accession number (from Wilke & Davis 2000; Wilke 2003; Ponder et al. 2008; Falniowski & Szarowska 2015; Barco et al. 2016; Rysiewska et al. 2017); posterior probabilities and highest posterior density intervals at nodes; arrow points at calibrated node; scale bar in substitutions per site; timeline on bottom in Ma before present.
Fig. 6 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species
Fig. 6. Phylogenetic tree from Bayesian analysis in MrBayes based on 16S rRNA and ITS2 (outgroup pruned off). Specimens identified by two-digit locality code in bold, four digit individual DNA code, and orographic unit (see Table 1) or GenBank accession number (from Ponder et al. 2008); posterior probabilities at nodes; scale bar in substitutions per site.
Fig. 5 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species
Fig. 5. Type locality of H. lozekiana sp. nov. (71) and Dabarska Pećina, a locality of H. steffeki sp. nov. (72) (see Table 1).
Fig. 14 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species
Fig. 14. Protoconchs (SEM micrographs). A. H. lozekiana sp. nov., paratype (NHMW 113639). B. H. steffeki sp. nov., paratype (NHMW 113641). Scale bars = 100 µm.
Fig. 8 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species
Fig. 8. Phylogenetic tree from Bayesian analysis in MrBayes based on COI, 16S rRNA and ITS2 (outgroup pruned off). Specimens identified by two-digit locality code in bold, four digit individual DNA code, and orographic unit (see Table 1); posterior probabilities at nodes; scale bar in substitutions per site.
Fig. 11 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species
Fig. 11. Monitoring of H. kissdalmae Erőss & Petró, 2008 in spring Ľadová Studňa, Driekyňa Valley, Slovenská Ľupča, Slovakia (locality 61 from Table 1) from 2012–2021.
Fig. 4 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species
Fig. 4. Selected localities of H. kissdalmae Erőss & Petró, 2008. Image numbers correspond to locality numbers in Table 1.
Fig. 7 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species
Fig. 7. Phylogenetic tree from maximum likelihood analysis in W-IQ-TREE based on 16S rRNA and ITS2 (outgroup pruned off). Specimens identified by two-digit locality code in bold, four digit individual DNA code, and orographic unit (see Table 1) or GenBank accession number (from Ponder et al. 2008); bootstrap support values at nodes> 50; not given for extremely short nodes within H. kissdalmae Erőss & Petró, 2008 and H. wienerwaldensis Haase, 1992; scale bar in substitutions per site.
Fig. 13 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species
Fig. 13. Paratypes from type localities (SEM micrographs). A–B. H. lozekiana sp. nov. (NHMW 113639). C–D. H. steffeki sp. nov. (NHMW 113641). Scale bar = 500 µm.
Fig. 10 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species
Fig. 10. Statistical parsimony network of H. kissdalmae Erőss & Petró, 2008 based on 16S rRNA. Haplotype circles A–H are proportional in size to the number of individuals with identical sequences. For comprehensive specimen information see Supp. file 1, Fig. S1. Crosslines and small circle represent non-sampled haplotypes.
Archival Datasets for SuperNova Artificial Inference by Lstm neural networks (SNAIL)
<p>The spectral-observation dataset (enclosed in the file archival_spec_observations.tar.gz) is comprised of 3091 observed spectra from 361 SNe Ia, largely contributed from CfA (Blondin et al. 2012), BSNIP (Silverman et al. 2012), CSP (Folatelli et al. 2013) and Supernova Polarimetry Program (Wang & Wheeler 2008; Cikota et al. 2019a; Yang et al. 2020).</p> <p>The spectral-template dataset (enclosed in the file archival_spec_templates.tar.gz) includes 361 spectral templates, each of them (covering -15 to +33d with wavelength from 3800 to 7200 A) was generated from the available spectroscopic observations of an individual SN via a LSTM neural network model.</p> <p>The auxiliary photometry dataset (enclosed in the file archival_phot_observations.tar.gz) provides the B & V light curves of these SNe (in total, 196 available SNe Ia), that were used to calibrate the synthetic B-V color of the observed spectra.</p> <p>In additional, the two master catalogs give the detailed information about the 361 SNe and their spectroscopic observations, respectively. </p> <p>These datasets are associated to the paper "Spectroscopic Studies of Type Ia Supernovae Using LSTM Neural Networks" (Hu et al. 2022, ApJ, accepted).</p>
Fig. 4 in A new species of snail-eating snakes of the genus Pareas Wagler, 1830 (Reptilia: Serpentes) from eastern Himalayas, India
Fig. 4. Pareas kaduri sp. nov. Paratype, ♂ (NCBS BH655). A–B. Hemipenis, lateral view. Scale bars = 1 mm.
Fig. 6 in A new species of snail-eating snakes of the genus Pareas Wagler, 1830 (Reptilia: Serpentes) from eastern Himalayas, India
Fig. 6. ML phylogeny of Pareas based on partial sequences of the mitochondrial cyt b gene generated through 1000 non-parametric bootstrap pseudoreplicates under the GTR + G model of sequence evolution. Numbers at nodes represent ML bootstrap support and BI posterior probability. For a complete tree see Appendix III.
Fig. 3 in A new species of snail-eating snakes of the genus Pareas Wagler, 1830 (Reptilia: Serpentes) from eastern Himalayas, India
Fig. 3. Pareas kaduri sp. nov. Holotype, ♂ (BNHS 3574). View of head. A. Left lateral view. B. Dorsal view. C. Ventral view. Scale bars = 5 mm.
Fig. 6 in Shell Morphology, Growth Pattern And Population Dynamics Of The Land Snail Xerolenta Obvia (Menke, 1828) In Two Areas Of Different Climatic Conditions Within A Temperate Climate Region
Fig. 6. Xerolenta obvia growth model under natural conditions. Size ranges of sexually ma- ture snails are shown in dark grey (4.5–5.4 whorls) and light grey (4.25–4.4 whorls); solid lines = SW population, dashed lines = NE population; 1 = first model variant, 2 = second model variant (details in text)
Fig. 5 in Redescription of the Snail Mite Riccardoella reaumuri (Acariformes: Prostigmata: Ereynetidae)
Fig. 5. Riccardoella (Proriccardoella) reaumuri: holotype, female. A–D: Leg I–IV without coxae. Scale bar 50 µm.
Fig. 6 in Redescription of the Snail Mite Riccardoella reaumuri (Acariformes: Prostigmata: Ereynetidae)
Fig. 6. Riccardoella (Proriccardoella) reaumuri: holotype, female. Tarsi I–IV in lateral view (A–D). Scale bar 20 µm.
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.