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.
1,840
datasets available to search
ShareScore release 0.9.0
Dataset results
1,840 results for “Representative”
FIGURE 6 in Taraxacum mirabile, an enigmatic sexual halophilous endemic dandelion, represents a new section
FIGURE 6. Taraxacum mirabile. General habit (ISTE 116904).
FIGURE 4 in Taraxacum mirabile, an enigmatic sexual halophilous endemic dandelion, represents a new section
FIGURE 4. Taraxacum mirabile. Somatic chromosomes (2n=16); each chromosome outlined (ISTE 116904).
Figure 13 in Amphibioplanidae: a new branch and family on the phylogenetic tree of the triclad flatworms (Platyhelminthes: Tricladida), represented by a species from Sardinian caves with a remarkable lifestyle
Figure 13. Amphibioplana onnisi. Schematic horizontal reconstruction of the copulatory apparatus.
Data representing logical computations along four stages in the brain
<p>A key challenge in neuroimaging remains to understand where, when and now particularly how human brain networks compute over sensory inputs to achieve behavior. To study such dynamic algorithms from mass neural signals, we recorded the magnetoencephalographic (MEG) activity of participants who resolved the classic XOR, OR and AND functions as overt behavioral tasks (N = 10 participants/task, N-of-1 replications). Each function requires a different computation over the same inputs to produce the task- specific behavioral outputs. In each task, we found that source-localized MEG activity progresses through four computational stages identified within individual participants: (1) initial contra-lateral representation of each visual input in occipital cortex, (2) a joint linearly combined representation of both inputs in midline occipital cortex and right fusiform gyrus, followed by (3) nonlinear task-dependent input integration in temporal-parietal cortex and finally (4) behavioral response representation in post-central gyrus. We demonstrate the specific dynamics of each computation at the level of individual sources. The spatio-temporal patterns of the first two computations are similar across the three tasks; the last two computations are task specific. Our results therefore reveal where, when and how dynamic network algorithms perform different computations over the same inputs to produce different behaviors.</p>
FIGURE 4 in Phylogenetic status of some unique species representing Blapstinina Mulsant & Rey (Tenebrionidae: Blaptinae: Opatrini), and implications for continued study of the subtribe
FIGURE 4. Distribution of Lodinus.
FIGURE 9 in Alloiothucha artocarpi (Horváth) (Hemiptera: Heteroptera: Tingidae) found on jackfruit, Artocarpus heterophyllus Lam. (Moraceae): first representative of the genus from Laos, and the synonymy of Cetiothucha Drake & Ruhoff
FIGURE 9. Holotype of Alloiothucha chaera. Arrow marks hood. Modified after Drake (1966).
Supplementary Information: On the Role of Dielectric Screening in Calculating Excited States of Solvated Azobenzene: A Benchmark Study Comparing Quantum Embedding and Polarizable Continuum Model for Representing the Solvent
<p>Link to Gitlab repo: https://gitlab.com/jezsmartinez/azobencene_ep/-/tree/main</p>
149 alphaproteobacterial family representatives
<p>Representatives of 149 alphaproteobacterial families from GTDB.</p>
149 family representatives (Alphaproteobacteria)
<p>Representatives of 149 families of Alphaproteobacteria from GTDB.</p>
Lagrangian trajectories representing surface drift from the Cape Verde islands
<p><strong>Example trajectories from a biophysical Lagrangian simulation</strong></p> <p>This is 25x 10.000 example trajectories from biophysical experiments performed with Parcels.</p> <p>The trajectories are a tiny subset of a much bigger collection of trajectories that have been simulated with the aim of learning about the fate of particles drifting away from the Cape Verde islands.</p> <p><em>Note, that these trajectories should not be used for biological or physical science but merely serve as study objects for developing, testing, or benchmarking (stasticical) methods and algorithms.</em></p> <p><strong>Details of the experiments</strong></p> <p>The trajectories are taken from 25 sets of biophysical simulations which differ in the year they represent. Particles are seeded between mid of August and start of December of the years 1993 to 2017. They are subject to Ocean surface currents simulated by a high-resolution ocean model and subject to Stokes Drift estimated by a wave simulation data provided by the Copernicus Marine Service (<a href="https://marine.copernicus.eu/">https://marine.copernicus.eu/</a>).</p> <p><strong>Data</strong></p> <p>The full data come as a Zarr store inside of a ZIP file <code>cape_verde_drift_trajectories_1993-2017.zarr.zip</code> which you need to download and unzip to be able to read it, e.g., with Xarray's <code>open_zarr</code> method. There are subsets of 10000 trajectories provided as compressed csv files split into years called <code>cape_verde_drift_trajectories_1-10000_1993.csv.gz</code> ... <code>cape_verde_drift_trajectories_1-10000_2017.csv.gz</code>. And there are subsets of 100 trajectories provided as un-compressed csv files split into years <code>called cape_verde_drift_trajectories_1-100_1993.csv</code> ... <code>cape_verde_drift_trajectories_1-100_2017.csv</code>.</p> <p><strong>Variables and their meaning</strong></p> <ul> <li><code>"obs"</code> contains the time step since the larva started to exist. Each trajectory covers up to 881 daily positions.</li> <li><code>"traj"</code> indicates the trajectory ID.</li> <li><code>"lat"</code> and <code>"lon"</code> contain the horizontal positions in degrees Latitude and Longitude.</li> <li><code>"temp"</code> contains the ambient temperature in degrees Celsius the simulated larva would have felt.</li> <li><code>"time"</code> contains time stamps for each position.</li> <li><code>"z"</code> contains the vertical positions of the simulated larva in meters counted downwards. As <code>"z</code>" does not vary (all particles are at the surface), it is omitted from the CSV files.</li> </ul> <p><strong>Details on the subsetting</strong></p> <p>See <a href="https://nbviewer.org/urls/zenodo.org/record/6826071/files/cape_verde_turtle_subsetting.ipynb">cape_verde_turtle_subsetting.ipynb</a>.</p> <p><strong>Using the data</strong></p> <p>This data set is licensed under a <em>Creative Commons Attribution 4.0 International License</em>.</p> <p>If you use the data, we'd love to get a notice to <a href="mailto:wrath@geomar.de">wrath@geomar.de</a>. This is, however, not required.</p>
Assessing methods for representing soil heterogeneity through a flexible approach within the Joint UK Land Environment Simulator (JULES) at version 3.4.1
<p>This is the JULES input and output data and plotting scripts used in the paper titled "Assessing methods for representing soil heterogeneity through a flexible approach within the Joint UK Land Environment Simulator (JULES) at version 3.4.1.</p> <p>The tar file contains the following:</p> <p>outputs/cardwfdei_gl4_uncompressed.mon.nc<br> outputs/cardwfdei_gl4_surf_ft_dom_soil.mon.nc<br> outputs/cardwfdei_gl4_gb_dom_soil_decompr_loam.mon.nc<br> outputs/cardwfdei_gl4_surf-soil_consolidated.mon.nc<br> outputs/cardwfdei_gl4_gb_dom_soil_compr_loam.mon.nc<br> plotting_scripts/utils.py<br> plotting_scripts/gb_flux_summary.py<br> plotting_scripts/tile_fsmc_summary.py<br> plotting_scripts/gb_smcl_closure_summary.py<br> plotting_scripts/colors_names.py<br> inputs/drive-file-WFDEI-79-10.txt<br> inputs/WFDEI_data/README.txt<br> inputs/extract_cardwfdei_point.py</p> <p>uncompressed is the output for experiment HResTex.<br> surf_ft_dom_soil is the output for experiment SurfDom.<br> gb_dom_soil_decompr_loam is the output for experiment SurfGB.<br> surf-soil_consolidated is the output for experiment HResTexAgg.<br> gb_dom_soil_compr_loam is the output for experiment DC.</p> <p>Descriptions about the individual plotting scripts are given within each file.</p> <p>The WFDEI data is freely available from a separate source and inputs/WFDEI_data/README.txt describes how to obtain this dataset.</p> <p>inputs/extract_cardwfdei_point.py extracts the WFDEI data for the single latitude/longitude point used in this paper.</p> <p>inputs/drive-file-WFDEI-79-10.txt is the input file required by JULES to read in the WFDEI driving data files.</p>
Supplementary material 1 from: Vargas HA (2022) Scrobipalpulopsis aguilaensis sp. nov. (Lepidoptera, Gelechiidae), the first representative of the genus discovered in the Atacama Desert, northern Chile. ZooKeys 1114: 105-119. https://doi.org/10.3897/zookeys.1114.84509
Figures S1, S2
Figure 2 from: Tonetti VR, Rego MA, De Luca AC, Develey PF, Schunck F, Silveira LF (2017) Historical knowledge, richness and relative representativeness of the avifauna of the largest native urban rainforest in the world. Zoologia 34: 1-18. https://doi.org/10.3897/zoologia.34.e13728
Figure 2 - Dendogram with Atlantic Forest regions based on their bird community using Hierarchical Cluster Analysis (Mountford's distance coefficient; a) and the Principal Coordinate Analysis of these areas (b). 1 = Morro do Diabo State Park; 2 = Mata dos Godoy State Park; 3 = Caetetus Ecological Station; 4 = Rio Claro Farm; 5 = Intervales State Park; 6 = Barreiro Rico Ecological Station; 7 = Carlos Botelho State Park; 8 = Ilha Comprida; 9 = Morro Grande Reserve; 10 = Porto Ferreira (Porto Ferreira and Vassununga State Parks); 11 = Serra da Cantareira; 12 = Boracéia Biological Station; 13 = Campos do Jordão (composed by Mananciais de Campos do Jordão and Campos do Jordão State Parks); 14 = Ubatuba; 15 = Itatiaia National Park.
Figure 3 from: Tonetti VR, Rego MA, De Luca AC, Develey PF, Schunck F, Silveira LF (2017) Historical knowledge, richness and relative representativeness of the avifauna of the largest native urban rainforest in the world. Zoologia 34: 1-18. https://doi.org/10.3897/zoologia.34.e13728
Figure 3 - Number of species reported by different sources during different periods in Serra da Cantareira. Museums: specimens deposited in ornithological collections between 1901 and 1992; Graham: Graham 1992; Authors: species recorded by the authors during unsystematic surveys; WA: WikiAves 2016; XC: Xeno-Canto 2016; Recent literature: Figueiredo and Loo 2000, Develey and Endrigo 2004, Fonseca and Antunes 2007, Antunes et al. 2008a, 2008b, 2009, Antunes and Eston 2009, 2012, Minns et al. 2009, Dersa 2010, Ikuta and Martins 2013, Lemos 2014, Cavarzere and Tonetti 2015. All recent encompasses records obtained in recent literature cited above as well as specimens deposited in museuns after the work performed by Graham (1992) and species recorded by the authors
Figure 1 from: Tonetti VR, Rego MA, De Luca AC, Develey PF, Schunck F, Silveira LF (2017) Historical knowledge, richness and relative representativeness of the avifauna of the largest native urban rainforest in the world. Zoologia 34: 1-18. https://doi.org/10.3897/zoologia.34.e13728
Figure 1 - Serra da Cantareira locations surveyed in this study. In the urban slope are Cantareira State Park admnistrative zones and their trails: AC = Águas Claras; PG = Pedra Grande; Eng = Engordador; Cab = Cabuçu; EL = Estrada do Lenhador; Alberto Löfgren State Park (ALSP) and A2. In the inner slope are A1, A3, A4, A5 and SC = Sítio Capuavinha private reserve.
FIGURE 9 in First fossil representatives of Pharaxonothinae Crowson (Coleoptera: Erotylidae): indirect evidence for cycads existence in Baltic amber forest
FIGURE 9. Cycadophila mumia sp. nov., reconstruction of habitus, dorsal view. Scale bar = 1 mm.
THE FRAME "LAUGHTER" IN GERMAN AND UZBEK AND THE VERBS THAT REPRESENT IT
Open the record for dataset details and reuse information.
Figure 9 in Two species representing a rare genus Sinaxonopsis (Acari, Hydrachnidiae, Aturidae) from China, with discussion of some taxonomic features
Figure 9 Sinaxonopsis unicucrus Yi & Jin, 2012, ♀ (HN-AT-202106110512), SEM photographs: A – Dorsal view; B – Preantennal glandularia (A1), Preocularia (O1); C – Postantennal glandularia (A2), Postocularia (O2), Dorsoglandularia 1 (D1); D – Dorso-glandularia 2 (D2); E – Dorsoglandularia 3 (D3), Dorsoglandularia 4 (D4); F – Ventro-glandularia 4 (V4); G – Lateroglandularia 1 (L1); H – Lateroglandularia 2 (L2); I
Figure 3 in A new subgenus representing a newly recorded genus from China, with a new species featured with special palps (Acari, Hydryphantoidea, Hydryphantidae, Partnunia)
Figure 3 Partnunia (Peculiaripalpus) longlingensis sp. nov., female. A – gnathosoma; B – forepart of gnathosoma; C – palp; D – P-V.
Fig. 4. Representative batoid chondrichthyan teeth from the J&M in New Late Cretaceous microvertebrate assemblage from the Campanian-Maastrichtian Williams Fork Formation, northwestern Colorado, USA, and its paleoenvironmental implications
Fig. 4. Representative batoid chondrichthyan teeth from the J&M site, Colorado, USA, Williams Fork Formation, Upper Cretaceous. A, B. Myledaphus bipartitus Cope, 1876. A. MWC 8887, tooth crown and root in mesial (A1), labial (A2), and occlusal (A3) views. B. MWC 9591, tooth crown and root in mesial (B1), labial (B2), and occlusal (B3) views. C, D. Pseudomyledaphus sp. C. MWC 9589, tooth crown and root in mesial (C1) and occlusal (C2) views. D. MWC 9590, tooth crown and root in mesial (D1) and occlusal (D2) views. E, F. Cristomylus sp. E. MWC 8886, tooth crown in mesial (E1) and occlusal (E2) views. F. MWC 9588, tooth crown in mesial (F1) and occlusal (F2) views.
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.