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.
6,410
datasets available to search
ShareScore release 0.9.0
Dataset results
6,410 results for “results”
FIG. 6 in Stomatopoda (Crustacea) from the Marquesas Islands: results of MUSORSTOM 9
FIG. 6. — Raoulserenea komaii (Moosa, 1991), postlarva tl 30 mm (stn CP1264); A, anterior cephalon, dorsal; B, raptorial claw, right lateral; C, AS3-5, lower right lateral; D, AS5-6, telson and uropod, dorsal; E, uropod, left ventral. Scale bar: 1.25 mm.
FIG. 5 in Stomatopoda (Crustacea) from the Marquesas Islands: results of MUSORSTOM 9
FIG. 5. — Odontodactylus brevirostris (Miers, 1884), tl 52 mm (stn DW1203); A, anterior cephalon, dorsal; B, raptorial claw, right lateral; C, TS6-8, right lateral; D, TS8 sternal keel; E, AS3-5, right lateral; F, AS5-6, telson and uropod, dorsal; G, uropod, right ventral. Scale bar: A-C, E-G, 2 mm; D, 1 mm.
FIG. 2 in Stomatopoda (Crustacea) from the Marquesas Islands: results of MUSORSTOM 9
FIG. 2. — Gonodactylellus espinosus (Borradaile, 1898); A-E, tl 27 mm (Ua Huka); A, ocular scales, dorsal; B, rostral plate, dorsal; C, raptorial claw, right lateral; D, TS6-8, right lateral; E, AS5-6, telson and uropod, dorsal; F, cl 4.3 mm (Ua Huka), pleopod 1 endopod, right anterior. Scale bar: A-E, 1 mm; F, 0.5 mm.
FIG. 4. — Gonodactyloideus tricarinatus n in Stomatopoda (Crustacea) from the Marquesas Islands: results of MUSORSTOM 9
FIG. 4. — Gonodactyloideus tricarinatus n. sp., tl 24 mm (holotype); A, anterior cephalon, dorsal; B, eye, right dorsal; C, raptorial claw, right lateral; D, TS5-8, AS1, lower right lateral; E, AS5-6, telson and uropod, dorsal; F, telson, right lateral. Scale bar: 1 mm.
FIG. 3 in Stomatopoda (Crustacea) from the Marquesas Islands: results of MUSORSTOM 9
FIG. 3. — Gonodactylellus micronesicus (Manning, 1971); A-F, tl 18 mm (stn 34); A, ocular scales, dorsal; B, rostral plate, dorsal; C, TS6-7, right lateral; D, AS5-6, telson and uropod, dorsal; E, telson, right lateral; F, pleopod 1 endopod, right anterior; G-J, tl 11 mm (stn DW1143); G, ocular scales; H, rostral plate, dorsal; I, AS6 and telson, dorsal; J, telson, right lateral; K, L, postlarva tl 9 mm (stn DW1143); K, rostral plate and anterior carapace, dorsal; L, AS5-6, telson and uropod, dorsal. Scale bar: A-E, G-J, 1 mm; F, K, L, 0.5 mm.
FIG. 1 in Stomatopoda (Crustacea) from the Marquesas Islands: results of MUSORSTOM 9
FIG. 1. — Bathysquilla microps (Manning, 1961), tl 49 mm (stn CP1272); A, anterior cephalon, dorsal; B, raptorial claw, right lateral; C, AS5-6 and telson, dorsal; D, uropod, right ventral; E, pleopod 1 endopod, right anterior. Scale bar: 2 mm.
Text-fig. 30. Scanning electron microscope (SEM) images of monocolpate pollen of Dejaxia brevicolpites gen. et sp. nov. from a pollen clump; Torres Vedras locality, Portugal. a) Holotype; pollen clump (possible single pollen sac) that yielded the pollen in this Textfigure; b, c) Group of almost spherical pollen grains showing the irregularly undulating psilate tectum and abundant orbicules; d–g) Pollen grains showing the short colpi with a granular aperture membrane (d, f) and the irregularly undulating psilate tectum with scattered small perforations; note abundant orbicules (g); h) Pollen grain in proximal view showing the irregularly undulating psilate tectum resulting from the depressions around the perforations in the pollen wall. Specimen, TV44-S137909 (holotype). Scale bars 300 Μm (a), 30 Μm (b), 12 Μm (c), 6 Μm (d–h). in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 30. Scanning electron microscope (SEM) images of monocolpate pollen of Dejaxia brevicolpites gen. et sp. nov. from a pollen clump; Torres Vedras locality, Portugal. a) Holotype; pollen clump (possible single pollen sac) that yielded the pollen in this Textfigure; b, c) Group of almost spherical pollen grains showing the irregularly undulating psilate tectum and abundant orbicules; d–g) Pollen grains showing the short colpi with a granular aperture membrane (d, f) and the irregularly undulating psilate tectum with scattered small perforations; note abundant orbicules (g); h) Pollen grain in proximal view showing the irregularly undulating psilate tectum resulting from the depressions around the perforations in the pollen wall. Specimen, TV44-S137909 (holotype). Scale bars 300 Μm (a), 30 Μm (b), 12 Μm (c), 6 Μm (d–h).
Text-fig. 3. Scanning electron microscope (SEM) images of a charalean oospore (a), and fragments of probable marchantialean liverwort thalli (b–d); Torres Vedras locality, Portugal. a) Apical view of oospore showing the pattern of spiral ridges and grooves resulting from the enclosing cells of the oogonium. b–d) Thallus fragments in probable ventral view showing two rows of imbricate scales and occasional branching of the thallus (d). Specimens, TV38-S174607 (a), TV43-S174655 (b), TV43-S174654 (c), TV43-S174661 (d). Scale bars 1 mm (b–d), 100 Μm (a). in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 3. Scanning electron microscope (SEM) images of a charalean oospore (a), and fragments of probable marchantialean liverwort thalli (b–d); Torres Vedras locality, Portugal. a) Apical view of oospore showing the pattern of spiral ridges and grooves resulting from the enclosing cells of the oogonium. b–d) Thallus fragments in probable ventral view showing two rows of imbricate scales and occasional branching of the thallus (d). Specimens, TV38-S174607 (a), TV43-S174655 (b), TV43-S174654 (c), TV43-S174661 (d). Scale bars 1 mm (b–d), 100 Μm (a).
Fig. 76. Results from exploratory phylogenetic analysis including Epidendrosaurus ningchengensis. A, reduced strict consensus cladogram. B in A Review Of Dromaeosaurid Systematics And Paravian Phylogeny
Fig. 76. Results from exploratory phylogenetic analysis including Epidendrosaurus ningchengensis. A, reduced strict consensus cladogram. B, detail of the base of Avialae showing the number of additional steps required to constrain Epidendrosaurus and Epidexipteryx are sister taxa.
Fig. 4. Fish assemblage ordination resulting from a in Flow seasonality and fish assemblage in a tropical river, French Guiana, South America
Fig. 4. Fish assemblage ordination resulting from a CA analysis using species (a), family (b), trophic guild (c), and MOS (d) descriptors in the downstream site, Comté River. Bold text indicates the species, family, trophic guild or MOS which contributes most to axes. Dots = samples taken during high waters; triangles = samples takes during low waters. Numbers correspond to fish species in Table 1. Axis scales are indicated in the small box.
Figure 2. A, Tree resulting from maximum likelihood analysis from the 12S in A molecular perspective on the evolutionary affinities of an enigmatic neotropical frog, Allophryne ruthveni
Figure 2. A, Tree resulting from maximum likelihood analysis from the 12S data set using the Hasegawa–Kishino–Yano two parameter model (Hasegawa et al., 1985). Included for comparative purposes are bootstrap support from NJ analyses. Below each resolved branch are indicated percentage bootstrap support in excess of 50% for: ML (100 pseudoreplicates), NJ (1000 pseudoreplicates; Kimura 2-parameter), NJ (1000 pseudoreplicates; Tamura–Nei). B, Strict consensus of three most parsimonious trees (all substitutions weighted equally; tree length = 164 steps). Below each branch are indicated percentage bootstrap support (1000 pseudreplicates) in excess of 50% for: MP (unweighted), MP (stems weighted twice loops), MP (transversions weighted four times transitions). Bremer decay indices (DI) are the final value shown below each resolved branch (for MP unweighted only). A dash indicates bootstrap support of less than 50%.
Figure 3. A, Tree resulting from a in A molecular perspective on the evolutionary affinities of an enigmatic neotropical frog, Allophryne ruthveni
Figure 3. A, Tree resulting from a maximum likelihood analysis from the combined data set using the Hasegawa–Kishino–Yano two-parameter model (Hasegawa et al., 1985). Included are bootstrap support values for NJ analyses. Below each resolved branch are indicated percentage bootstrap support in excess of 50% for: ML (100 pseudoreplicates), NJ (1000 pseudoreplicates; Kimura 2-parameter), NJ (1000 pseudoreplicates; Tamura–Nei). B, Strict consensus of eight most parsimonious trees (tree length = 441 steps) derived from a heuristic search of combined data set (unweighted). Below each supported branch are indicated percentage bootstrap values (1000 pseudreplicates) in excess of 50% for: MP (unweighted), MP (stems positions weighted twice loops), MP (transversions weighted twice transitions). Bremer decay indices (DI) are the final value shown below each resolved branch (for MP unweighted only).
Annotation results of two human retina organoids
<p>Cell annotation was based on i) marker genes which were extracted from literature and expert knowledge, or (ii) via a transfer learning tool CaSTLe (Lieberman Y, Rokach L, Shay T, 2018) using the Cowan <em>et al</em>. (2020) organoid reference data set.</p> <p>Data preprocessing of both scRNA-seq data sets was done in scanpy (Wolf, F., Angerer, P. & Theis, 2018), and are included as h5ad-files.</p> <p>The annotation results are included in the .csv files</p>
A new sampling capability for uncertainty quantification in the Ice-sheet and Sea-level System Model v4.19 using Gaussian Markov random fields -- Datasets and results
<p>Data archives for test experiments (Section 3) and Pine Island Glacier application (Section 4) from the manuscript "Kevin Bulthuis and Eric Larour, A new sampling capability for uncertainty quantification in the Ice-sheet and Sea-Level System Model v4.19 using Gaussian Markov random fields"</p> <p>Source code is available at https://doi.org/10.5281/zenodo.5532775.</p>
CoPro - ERL results
<p>The different zipped folders contain the raw CoPro model output used for the ERL submission.</p> <ul> <li>SSP_RCP_run: default settings including both SSP and RCP indicators;</li> <li>SSP_RCP_SA_run: SSP_RCP_run in which statistical method used to sample RCP indicators is varied;</li> <li>SSP_run: idential settings as SSP-RCP run but without RCP indicators.</li> </ul> <p>You find two folders per run. '_REF' for output from the reference run, and '_PROJ' with output from the projections. The '_PROJ' folder contains three sub-folders per scenario: 'ssp1', 'ssp2', and 'ssp3'. Note that this nomenclature is identical across SSP-RCP and SSP runs.</p> <p>While the '_REF' folders contains various output from the evaluation of the predictions (e.g. metrics, indicator importance), the '_PROJ' folders contain only the projected conflict risk per year, that is between end of historial period and end of projection period. The annual projections can be further processed using tools from <a href="https://github.com/JannisHoch/copro/tree/dev/copro/scripts/postprocessing">CoPro</a>.<br> </p>
Competition between predicting mathematical models and laboratory results for covid 19 after vaccination in Iran
<p>All of us like to find a way to end Covid 19. Specially, economy confronts with many problems. In attached JPG, i bring two predictions for covid 19 pandemic in Iran. Mathematical model predicts that after a fall in figure we will have a peak. However, right now, most of people in Iran used of vaccines. In addition, government forced on all to get vaccine. Even, students with 12 to 18 years old get vaccine. It has been heard that soonly, kids with ages between 3-12 years old will receive vaccine. As a man or woman, all of us like that this program will response and vaccines work. However, predictions of math show reverse result. Although, maybe, we should enter the factor of vaccine in mathematical model. It is good opportunity for scientists to examine response of covid 19 to program of vaccine for all. Even if we have a peak, however its height be smaller, we can say that vaccines act. Hope for ending Covid 19 in all countries.</p>
Experimental data of "Novel flow modulation method for R744 two-phase ejectors – Proof of concept, optimization and first experimental results"
<p>Experimental data of "Novel flow modulation method for R744 two-phase ejectors – Proof of concept, optimization and first experimental results"</p>
Numerical Results for Kyriakopoulos et al., 2021 GRL
<p>Numerical results represented in Figures 2, 3 and 4.</p>
Images and results from a visual inspection of AIA spikes
<p>This upload contains images and results used in a manuscript submitted by P.R. Young et al. to the Solar Physics journal. The preprint is available at: <a href="https://ui.adsabs.harvard.edu/abs/2021arXiv210802624Y/abstract">https://ui.adsabs.harvard.edu/abs/2021arXiv210802624Y/abstract</a>.</p> <p>The files are:</p> <p>RESULTS.txt - The results of the spike analysis.<br> make_spike_images.pro - An IDL routine for generating the pdf files<br> (requires software in the Solarsoft IDL<br> distribution to run)<br> spike_images_*_*.pdf - A set of pdf files containing AIA images. For<br> each spike there is a pair of images in a<br> row. Each image is 30" x 30" in size and<br> centered on the spike. The left panel shows<br> the original image, and the right panel shows<br> the despiked image. There are 45 pdf files in<br> all. </p> <p> </p>
International Society for Biocuration 2021 Survey results
<p>The ISB Equity, Diversity, and Inclusion Subcommittee surveyed members and non-members of the International Society for Biocuration to better understand the community and identify ways in which the ISB could better serve our community. These are the results of the 2021 survey.</p> <p> </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.