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.
8,819
datasets available to search
ShareScore release 0.9.0
Dataset results
8,819 results for “new data”
FIG. 1 in A synopsis of Ptisana Murdock ferns (Marattiaceae) in New Caledonia based on sequence data and morphology with the recognition of a new vulnerable species, P. soluta (Compton) Murdock & Perrie, comb. nov., stat. nov.
FIG. 1. — Ptisana attenuata (Labill.) Murdock, field photos: A, 3-pinnate frond; B, stipes are dark at a distance; C, abaxial surface of costae and lamina, with synangia; D, stipe dark and wrinkled; E, divided stipules around stipe bases. Photos: Leon Perrie, from near Nouméa.
Fig. 7 in Relationships of Henicopidae (Chilopoda: Lithobiomorpha): New molecular data, classification and biogeography
Fig. 7. Area cladogram for Paralamyctes based on relationships under most congruent parameters for combined morphological and molecular data (Fig. 3, left cladogram). Stable clades are indicated (present in at least six parameter sets for the combined data).
Fig. 5 in Relationships of Henicopidae (Chilopoda: Lithobiomorpha): New molecular data, classification and biogeography
Fig. 5. Details of the pretarsus of Henicopidae, showing characters 57 and 58 in Appendix 1. A. Paralamyctes (Thingathinga) grayi, dorsal view. B. Paralamyctes (Thingathinga) validus, anterior view. C. Paralamyctes (Haasiella) trailli, anterior view. D. Cermatobius japonicus, posterior view. E. Lamyctes emarginatus, anterior view. F. Anopsobius neozelanicus, dorsal view. All scales 10 m.
Fig. 3 in Relationships of Henicopidae (Chilopoda: Lithobiomorpha): New molecular data, classification and biogeography
Fig. 3. Cladograms based on the combined analysis of all data (morphological + molecular). Cladogram at left is the single shortest tree of 7343 steps obtained for the most congruent parameter set (111); cladogram at right is strict consensus for all 12 parameters. Numbers on branches indicate jackknife frequencies.
Fig. 4 in Relationships of Henicopidae (Chilopoda: Lithobiomorpha): New molecular data, classification and biogeography
Fig. 4. Graphic plots of sensitivity analyses. Black square = monophyly of indicated clade under gap cost and transversion:transition ratio shown along the axes; grey square = monophyly in some minimal length cladograms; white square = non-monophyly.
Fig. 2 in Relationships of Henicopidae (Chilopoda: Lithobiomorpha): New molecular data, classification and biogeography
Fig. 2. Cladograms based on the combined analysis of all molecular data. Cladogram at left is the single tree at 7174 steps obtained for the most congruent parameter set (111); cladogram at right is strict consensus for all 12 parameter sets. Numbers on branches indicate jackknife frequencies.
Fig. 1 in Relationships of Henicopidae (Chilopoda: Lithobiomorpha): New molecular data, classification and biogeography
Fig. 1. Strict consensus of 10 000 shortest cladograms based on morphological data (134 steps; CI = 0.56; RI = 0.86). Branches for the ingroup (Henicopidae) appear darker than those for the outgroup (Lithobiidae). Numbers above branches indicate jackknife frequencies; numbers below branches indicate absolute Bremer support and relative fit difference, RFD, shown as a percentage (see text for a description of these support measures). Labels on branches indicate groups recovered in all morphological analyses (Anopsobiinae, Lamyctes-Henicops Group within Henicopini, Zygethobiini) and traditional membership of Henicopinae. Paralamyctes (unresolved) is traditionally assigned to Henicopini.
IMPROVER: the new probabilistic post processing system at the UK Met Office: BAMS paper Data
<p>© Crown Copyright, Met Office</p> <p>This is the data associated with the figures in the IMPROVER BAMS paper 2023: <a href="https://doi.org/10.1175/BAMS-D-21-0273.1">https://doi.org/10.1175/BAMS-D-21-0273.1</a>.</p> <p>Gridded data is in CF-NetCDF with reasonably self explanatory metadata, other data such as for Figure 9's wind speed calibration is in CSV.</p>
(new version data) Probing the atomically diffuse interfaces in core-shell nanoparticles in three dimensions
<p><strong>Deciphering the three-dimensional atomic structure of solid-solid interfaces in core-shell nanomaterials is the key to understand their remarkable catalytical, optical and electronic properties. Here, we probe the three-dimensional atomic structures of palladium-platinum core-shell nanoparticles at the single-atom level using atomic resolution electron tomography. We successfully quantify the rich structural variety of core-shell nanoparticles with heteroepitaxy in 3D at atomic resolution. Instead of forming an atomically-sharp boundary, the core-shell interface is atomically diffuse with an average thickness of 4.2 Å, irrespective of the particle's morphology or crystallographic texture. We observed dissolved free Pd and Pt single atoms and sub-nanometer clusters using cryogenic electron microscopy. The high concentration of Pd in the diffusive interface is highly related to the free Pd atoms dissolved from the Pd seeds. These results advance our understanding of core-shell structures at the fundamental level, providing potential strategies into precise nanomaterial manipulation and chemical property regulation.</strong></p> <p> </p> <p>The data and source codes for the paper "Probing the atomically diffuse interfaces in core-shell nanoparticles in three dimensions" are posted below.</p> <p><strong># Repositary Contents</strong></p> <p><strong>### 1. Experiment Data</strong></p> <p>Folder: [Measured_data](./1_Measured_data)</p> <p>This folder contains denoised and aligned ADF-STEM projections and corresponding finalized tilt angles for three Pd@Pt core-shell nanoparticles. Three particles are named PB (pentagonal bipyramid shaped), EPB (elongated pentagonal bipyramid shaped) and TO (truncated octahedron shaped), respectively.</p> <p><strong>### 2. Reconstructed 3D Volume</strong></p> <p>Folder: [Final_reconstruction_volume](./2_Final_reconstruction_volume)</p> <p>This folder contains 3D tomographic reconstruction volumes of three particles. For the source code of RESIRE algorithm used in these reconstructions, please see the [source code](https://github.com/AET-MetallicGlass/Supplementary-Data-Codes/tree/master/2_RESIRE_package) of Yao Yang's paper on github.</p> <p><strong>### 3. Atom Tracing and Classification</strong></p> <p>Folder: [Tracing_and_classification](./3_Tracing_and_classification)</p> <p>This folder contains the source code to trace and classify atoms in the 3D volume.</p> <p><strong>### 4. Experimental Atomic Models</strong></p> <p>Folder: [Final_coordinates](./4_Final_coordinates)</p> <p>This folder contains the final coordinates of three nanoparticles.</p> <p><strong>### 5. Analysis of core-shell interface and others</strong></p> <p>Folder: [Analysis_of_interface](./5_Analysis_of_interface)</p> <p>This folder contains the codes to analyse the pair distribution function (PDF), the core-shell interface, the local coordination structure (PTM), the displacement and strain map of three nanoparticles.</p>
Making The Taxonomic Effort: Data on Index Fungorum and IPNI new species and new combinations author gender
<p>Data on plant and fungal names and new combinations extracted in 2018 from the International Plant Names Index (IPNI) and Index Fungorum (IF) on names published from 1931 onwards. The gender of the authors of the names and combinations have been assigned from another data set on Zenodo here:</p> <p><strong>Lindon, Heather, Gardiner, Lauren, Vorontsova, Maria, & Brady, Abigail. (2020). Gendered Author List International Plant Names Index 2020 (Version 2) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.3911077">https://doi.org/10.5281/zenodo.3911077</a></strong></p> <p>The set of data here was used for an analysis of names and new combinations published by women for a paper in the Linnean Society entitled 'Making the Taxonomic Effort' Published April 2023 https://www.linnean.org/our-publications.</p>
FIG. 13. — Lejeunea convexiloba M.L in Data to the Malaysian liverwort flora, III: New Lejeuneaceae records from Sabah and Peninsular Malaysia
FIG. 13. — Lejeunea convexiloba M.L.So & R.L.Zhu: A, B, underleaves; C, part of plant and perianth in ventral view; D, E, leaves; F, G, upper part of leaf lobules when flattened (hyaline papilla shown in gray); H, perianth; I, median leaf lobe cells; J, cross-section of stem; K, female bracts and bracteole. From G.E. Lee 1940. Scale bars: A, B, D, E, 0.1 mm; C, H, K, 0.2 mm; F, G, I, J, 50 µm.
FIG. 12 in Data to the Malaysian liverwort flora, III: New Lejeuneaceae records from Sabah and Peninsular Malaysia
FIG. 12. — Colura inuii Horik.: A, part of plant and perianth in ventral view; B, C, leaves; D, cross-section of stem; E, underleaf; F, oil bodies; G, marginal leaf lobe cells; H, L, valves; I, median leaf lobe cells; J, K, apex of lobule sacs; M, N, perianths and female bracts. A, E, G, D from G.E. Lee et al. 19019; others from G.E. Lee 21011. Scale bars: A-C, 0.5 mm; D, G, H, L, 50 µm; E, I-K, 100 µm.
FIG. 11 in Data to the Malaysian liverwort flora, III: New Lejeuneaceae records from Sabah and Peninsular Malaysia
FIG. 11. — Colura inuii Horik.: A, habit; B, oil bodies. From G.E.Lee 21010. Colura ari (Steph.) Steph.: C, habit; D, oil bodies. From G.E. Lee et al. 19020. Radula grandilobula Promma & Chantanaorr.: E, habit; F, oil bodies. From G.E. Lee 21003. Scale bars: A, C, E, 2 mm; B, D, 50 µm; F, 25 µm.
FIG. 10 in Data to the Malaysian liverwort flora, III: New Lejeuneaceae records from Sabah and Peninsular Malaysia
FIG. 10. — Colura ari (Steph.) Steph.: A, part of plant in ventral view; B, C, leaves; D, underleaf; E, marginal leaf lobe cells; F, valve; G, median leaf lobe cells; H, apex of lobule sac; I, perianth. From G.E. Lee et al. 19020. Scale bars: A-C, I, 0.5 mm; D, 0.2 mm; E, G, 100 µm; F, H, 50 µm.
FIG. 8 in Data to the Malaysian liverwort flora, III: New Lejeuneaceae records from Sabah and Peninsular Malaysia
FIG. 8. — Cololejeunea schmidtii Steph.: A, part of plant in ventral view; B, C, leaves; D, perianth, female bracts; E, median leaf lobe cells; F, marginal leaf lobe cells; G, stem portion, leaf lobule and stylus (hyaline papilla shown in gray), H, gemma. From G.E. Lee et al. 19015. Scale bars: A, D, 0.2 mm; B, C, 0.1 mm; E-H, 50 µm.
FIG. 7 in Data to the Malaysian liverwort flora, III: New Lejeuneaceae records from Sabah and Peninsular Malaysia
FIG. 7. — Cololejeunea ensifera Tixier ex L.SÖderstr., Pócs, Váňa & A.Hagborg: A, part of plant in ventral view; B, C, leaves; D, median leaf lobe cells; E, stem portion, leaf lobule and stylus (hyaline papilla shown in gray); F, perianth; G, female bracts; H, basal leaf lobe cells and vitta. From J. Havasi & T. Pócs 1823AL. Scale bars: A-C, F, G, 0.2 mm; D, E, H, 50 µm.
FIG. 6 in Data to the Malaysian liverwort flora, III: New Lejeuneaceae records from Sabah and Peninsular Malaysia
FIG. 6. — Cololejeunea equialbi Tixier: A, part of plant in ventral view and gemmae; B, part of leaf lobe and lobule. From J.Havasi & T.Pócs 1811/AX. Cololejeunea ensifera Tixier ex L.SÖderstr., Pócs, Váňa & A.Hagborg: C, part of plant in ventral view; D, E, part of leaf lobe, lobule and vitta. From J. Havasi & T. Pócs 1823AL. Scale bars: 50 µm.
FIG. 4 in Data to the Malaysian liverwort flora, III: New Lejeuneaceae records from Sabah and Peninsular Malaysia
FIG. 4. — Cololejeunea appressa (A.Evans) Benedix: A, part of plant in ventral view; B, C, F, leaves; D, stem portion, leaf lobule and stylus (hyaline papilla shown in gray); E, marginal leaf lobe cells; G, median leaf lobe cells; H, basal leaf lobe cells and ocelli. From G.E. Lee et al. 19011. Scale bars: A, 0.2 mm; B, C, F, 0.1 mm; D, H, 50 µm; E, G, 25 µm.
FIG. 5 in Data to the Malaysian liverwort flora, III: New Lejeuneaceae records from Sabah and Peninsular Malaysia
FIG. 5. — Cololejeunea equialbi Tixier: A, part of plant in ventral view; B, C, leaves; D, marginal leaf lobe cells; E, median leaf lobe cells; F, androecial shoot; G, stem portion, leaf lobule and stylus (hyaline papilla shown in gray); H, perianth; I, female bracts. From E. Pesiu et al. 1955. Scale bars: A, H, I, 0.2 mm; B-D, G, 100 µm; E, 50 µm; F, 0.5 mm.
FIG. 9 in Data to the Malaysian liverwort flora, III: New Lejeuneaceae records from Sabah and Peninsular Malaysia
FIG. 9. — Cololejeunea gottschei (Steph.) Pandé, K.P.Srivast. & Ahmad: A, part of plant in ventral view; B, C, leaves; D, stem portion and leaf lobule; E, gemma; F, leaf lobule when flattened (hyaline papilla shown in gray); G, median leaf lobe cells; H, stem portion, lower part of leaf lobule and stylus; I, female bracts; J, perianth and female bracts; K, marginal leaf lobe cells; L, upper part of perianth. From T. Pócs et al. 13180/R. Scale bars: A-C, 0.2 mm; D-F, H-L, 100 µm; G, 50 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.