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.
4,753
datasets available to search
ShareScore release 0.9.0
Dataset results
4,753 results for “SHAPE”
Supplementary material 4 from: Hartz SM, Rocha EA, Brum FT, Luza AL, Guimarães TFR, Becker FG (2019) Influences of the area, shape and connectivity of coastal lakes on the taxonomic and functional diversity of fish communities in Southern Brazil. Zoologia 36: 1-12. https://doi.org/10.3897/zoologia.36.e23539
: Data type: species data
FIGURE 1 in Identifying Neogobius species from the southern Caspian Sea by otolith shape (Teleostei: Gobiidae)
FIGURE 1. Location of sampling sites.
FIG. 3 in Shell shape variation of the symbiotic gastropod Phenacovolva rosea (Ovulidae) in Vietnam
FIG. 3. ANOVA tests of the width-to-height ratio of shells of P. rosea, vertical bars denote 0,95 confidence intervals A. Across four studied locations (current effect: F(3, 49)=32,260, p=,00000). B. Across six coral host species, irrespective of collection location (current effect: F(5, 35)=12,866, p=,00000).
Fig. 4 in Wing shape is influenced by environmental variability in Polietina orbitalis (Stein) (Diptera: Muscidae)
Fig. 4. Graphic reconstruction of the wing shape of individuals with (A) positive and (B) negative scores on the first canonical axis (CV1, increased 10 times). The lines in gray represent the average configuration of the wing, and those in black represent the canonical first variable.
Text-fig. 2. Pauxillites thaddei sp. nov., a – reconstruction of ventral side of conch with visible growth-lines and rounded lateral edges; b – reconstruction of inner surface of triclaviculate operculum with muscle scar in the area between clavicles. The dotted line represents the predicted shape of cardinal area. in Pauxillites Thaddei A New Lower Ordovician Hyolith From Morocco
Text-fig. 2. Pauxillites thaddei sp. nov., a – reconstruction of ventral side of conch with visible growth-lines and rounded lateral edges; b – reconstruction of inner surface of triclaviculate operculum with muscle scar in the area between clavicles. The dotted line represents the predicted shape of cardinal area.
Text-fig. 3. Trachinus minutus, praeopercular shape, lateral view. A – Litenčice specimen (Czech Republic). B – Froidefontaine specimen (France). C – Specimen from Jamna Dolna (Poland). Scale bar represents 1mm. According Pharisat (1991) and Jerzmańska (1968), modified. in A Juvenile Trachinus Minutus (Pisces, Perciformes, Trachinidae) From The Middle Oligocene Of Litenčice (Moravia, Czech Republic)
Text-fig. 3. Trachinus minutus, praeopercular shape, lateral view. A – Litenčice specimen (Czech Republic). B – Froidefontaine specimen (France). C – Specimen from Jamna Dolna (Poland). Scale bar represents 1mm. According Pharisat (1991) and Jerzmańska (1968), modified.
Tumour-intrinsic features shape T-cell differentiation through myeloma disease evolution - raw data
<p><strong><em>sample_id</em>.h5</strong></p> <ul> <li>Feature-barcode matrix (<em>filtered_feature_bc_matrix.h5</em>, 10x-Genomics-formatted hdf5 file) for indicated sample.</li> </ul> <p><strong><em>sample_id</em>-VDJ.csv</strong></p> <ul> <li><em>filtered_contig_annotations.csv</em> file for indicated sample.</li> </ul> <p><strong>sample-metadata.csv</strong></p> <ul> <li>Metadata for each sample: donor_id (donor of origin), sort (sorting strategy), batch (sequencing batch).</li> </ul> <p> </p>
Interaction between biocrusts and vascular plants shape semiarid dryland multifunctionality
Open the record for dataset details and reuse information.
Figure 2 in Shape variation in head scales of species of the genus Ophiomorus DUMÉRIL & BIBRON, 1839 in Iran, a geometric morphometrics approach
Figure 2. Map of the localities of Ophiomorus species in Iran analyzed in this study. Stars indicate specimens referred to OTUs.
Figure 7 in Mathematical interpretation of avian egg shapes
Figure 7. The centers of infundibular, cloacal and lateral circles placement for different forms of asymmetric pseudoovoids formation.
Figure 6 in Mathematical interpretation of avian egg shapes
Figure 6. Typical symmetric pseudo-ovoid: 1, 9, 17) construction of ovoids in the shape matrix; 2, 10, 18) egg profile diagram; bird egg profiles: 3) Egretta alba; 4) Podiceps nigricollis; 5) Porzana parva; 6) Ardea cinerea; 7) Cygnus olor; 8) Podiceps cristatus; 11) Cygnus olor; 12) Casuarius casuarius; 13) Egretta garzetta; 14) Mergus serrator; 15) Egretta alba; 16) Phalacrocorax carbo; 19) Anser anser; 20) Pelecanus crispus; 21) Podiceps grisegena; 22) Cygnus olor; 23) Phalacrocorax carbo; 24) Podiceps cristatus.
Figure 3 in Ecomorphological patterns and shape indices of otoliths in the Pagellus acarne (Actinopterygii, Sparidae) from the Aegean and Marmara Seas
Figure 3. General views of the mesial surfaces of the right and left otoliths of Pagellus acarne; (A) Aegean Sea stock, (B) Marmara Sea stock.
Fig. 2 A in Evolutionary pattern of the forewing shape in the Neotropical genus of jumping plant-lice (Hemiptera: Psylloidea: Russelliana)
Fig. 2 A forewing of Russelliana magellanica with the 19 landmarks used to characterize its shape
HEXAGON SHAPE BOTTOM UNLOADING SHIPPING CONTAINERS
SciDraw upload
HEXAGON SHAPE BOTTOM UNLOADING SHIPPING CONTAINERS
SciDraw upload
Transmission line model of the lossless T-shaped power di- vider.
Open the record for dataset details and reuse information.
Dataset to develop the Generalized Linear Models in "THE CRITICAL ROLE OF HYDROLOGICAL DISTANCE IN SHAPING NUTRIENT DYNAMICS ALONG THE WATERSHED-LAKE CONTINUUM"
Open the record for dataset details and reuse information.
Table ¹: Comparison of analysis of variance results for skull (occlusal view) and mandible (side view) shape in Rhipidomys mastacalis from three vegetation classes in Brazil. Object asymmetry and correspondence methods were employed to assess asymmetry for skulls and mandibles, respectively. in Morphological symmetry of Rhipidomys mastacalis (Mammalia, Rodentia, Cricetidae) in fragmented habitats of the Atlantic Forest in Northeastern Brazil: a study on the influence of the environment on an endemic species
<p><b>Table ¹:</b> Comparison of analysis of variance results for skull (occlusal view) and mandible (side view) shape in <i>Rhipidomys mastacalis</i> from three vegetation classes in Brazil.Object asymmetry and correspondence methods were employed to assess asymmetry for skulls and mandibles,respectively.</p><table><tbody><tr><th><b>Shape procrustes ANOVA</b></th></tr></tbody><tbody><tr><th><b>Effect Sum of squares</b></th><td><b>Mean squares</b></td><td><b>Degrees of freedom</b></td><td><i>F statistic</i></td><td><i>p -Value</i></td><td><b>Pillai tr.</b></td><td><i>p -Value</i></td></tr><tr><th><b>Skulls</b></th></tr><tr><th><b>Forested vegetation</b></th></tr><tr><th>Individual</th><td>0.19908517</td><td>0.0004253957</td><td>468</td><td>22.36</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Side</th><td>0.00366522</td><td>0.0002036232</td><td>18</td><td>10.70</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Individual × side</th><td>0.00890443</td><td>0.0000190266</td><td>468</td><td>2.24</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Error 1</th><td>0.00825565</td><td>0.0000084935</td><td>972</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Occupancy mosaics in forested areas</b></th></tr><tr><th>Individual</th><td>0.37829478</td><td>0.0003965354</td><td>954</td><td>18.57</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Side</th><td>0.00547536</td><td>0.0003041869</td><td>18</td><td>14.25</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Individual × side</th><td>0.02037065</td><td>0.0000213529</td><td>954</td><td>1.89</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Error 1</th><td>0.02201359</td><td>0.0000113239</td><td>1944</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Cocoa plantations</b></th></tr><tr><th>Individual</th><td>0.0645902300</td><td>0.0001302222</td><td>496</td><td>5.18</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Side</th><td>0.0113531900</td><td>0.0007095741</td><td>16</td><td>28.23</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Individual × side</th><td>0.0124666800</td><td>0.0000251344</td><td>496</td><td>1.88</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Error 1</th><td>0.0136608800</td><td>0.0000133407</td><td>1024</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Mandibles</b></th></tr><tr><th><b>Forested vegetation</b></th></tr><tr><th>Individual</th><td>0.70443879</td><td>0.0012579264</td><td>560</td><td>8.10</td><td><0.0001</td><td>14.16</td><td><0.0001</td></tr><tr><th>Side</th><td>0.00549957</td><td>0.0002749783</td><td>20</td><td>1.77</td><td>0.0207</td><td>0.0207</td><td>0.0069</td></tr><tr><th>Individual × side</th><td>0.08696012</td><td>0.0001552859</td><td>560</td><td>2.46</td><td><0.0001</td><td>10.75</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.07312665</td><td>0.0000387718</td><td>1160</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Occupancy mosaics in forested areas</b></th></tr><tr><th>Individual</th><td>1.19843989</td><td>0.0011984399</td><td>1000</td><td>8.16</td><td><0.0001</td><td>14.70</td><td><0.0001</td></tr><tr><th>Side</th><td>0.01169771</td><td>0.0005848855</td><td>20</td><td>3.98</td><td><0.0001</td><td>0.74</td><td>0.0001</td></tr><tr><th>Individual × side</th><td>0.14685738</td><td>0.0001468574</td><td>1000</td><td>3.03</td><td><0.0001</td><td>11.21</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.09880745</td><td>0.0000484350</td><td>2040</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Cocoa plantations</b></th></tr><tr><th>Individual</th><td>0.3269927600</td><td>0.0004808717</td><td>680</td><td>4.52</td><td><0.0001</td><td>14.14</td><td><0.0001</td></tr><tr><th>Side</th><td>0.0143644400</td><td>0.0007182221</td><td>20</td><td>6.75</td><td><0.0001</td><td>0.86</td><td>0.0017</td></tr><tr><th>Individual × side</th><td>0.0723474900</td><td>0.0001063934</td><td>680</td><td>2.39</td><td><0.0001</td><td>10.41</td><td>0.0017</td></tr><tr><th>Error 1</th><td>0.0622041800</td><td>0.0000444316</td><td>1400</td><td>–</td><td>–</td><td>–</td><td>–</td></tr></tbody></table>
Table ²: Comparison of the results of analysis of variance on the shape of scapulae (occlusal view) and pelvis (side view) in Rhipidomys mastacalis from three vegetation classes in Brazil. Correspondence asymmetry was the only method used for asymmetry analysis. in Morphological symmetry of Rhipidomys mastacalis (Mammalia, Rodentia, Cricetidae) in fragmented habitats of the Atlantic Forest in Northeastern Brazil: a study on the influence of the environment on an endemic species
<p><b>Table ²:</b> Comparison of the results of analysis of variance on the shape of scapulae (occlusal view) and pelvis (side view) in <i>Rhipidomys mastacalis</i> from three vegetation classes in Brazil. Correspondence asymmetry was the only method used for asymmetry analysis.</p><table><tbody><tr><th><b>Shape procrustes ANOVA</b></th></tr></tbody><tbody><tr><th><b>Effect Sum of squares</b></th><td><b>Mean squares</b></td><td><b>Degrees of freedom</b></td><td><i>F statistic</i></td><td><i>p -Value</i></td><td><b>Pillai tr.</b></td><td><i>p -Value</i></td></tr><tr><th><b>Scapulae</b></th></tr><tr><th><b>Forested vegetation</b></th></tr><tr><th>Individual</th><td>0.0941373400</td><td>0.0010459705</td><td>90</td><td>3</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Side</th><td>0.0100439600</td><td>0.0010043960</td><td>2.88</td><td>0.0037</td><td>0.0003</td><td>–</td><td>–</td></tr><tr><th>Individual × side</th><td>0.0314069500</td><td>0.0003489662</td><td>90</td><td>5.89</td><td><0.0001</td><td>4.91</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.0118544100</td><td>0.0000592721</td><td>200</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Occupancy mosaics in forested areas</b></th></tr><tr><th>Individual</th><td>0.2064168200</td><td>0.0010320841</td><td>200</td><td>4.82</td><td><0.0001</td><td>7.15</td><td><0.0001</td></tr><tr><th>Side</th><td>0.0262808000</td><td>0.0026280796</td><td>10</td><td>12.28</td><td><0.0001</td><td>0.86</td><td>0.0022</td></tr><tr><th>Individual × side</th><td>0.0428160400</td><td>0.0002140802</td><td>200</td><td>2.68</td><td><0.0001</td><td>4.98</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.0335675700</td><td>0.0000799228</td><td>420</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Cocoa plantations</b></th></tr><tr><th>Individual</th><td>0.2508635400</td><td>0.0009291242</td><td>270</td><td>4.07</td><td><0.0001</td><td>7.11</td><td><0.0001</td></tr><tr><th>Side</th><td>0.0256608100</td><td>0.0025660812</td><td>10</td><td>11.24</td><td><0.0001</td><td>0.87</td><td><0.0001</td></tr><tr><th>Individual × side</th><td>0.0616394000</td><td>0.0002282941</td><td>270</td><td>3.10</td><td><0.0001</td><td>5.72</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.0412323300</td><td>0.0000736292</td><td>560</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Pelvis</b></th></tr><tr><th><b>Forested vegetation</b></th></tr><tr><th>Individual</th><td>0.0543411200</td><td>0.0004312787</td><td>126</td><td>4.63</td><td><0.0001</td><td></td><td></td></tr><tr><th>Side</th><td>0.0043155600</td><td>0.0003082544</td><td>14</td><td>3.31</td><td>0.0002</td><td></td><td></td></tr><tr><th>Individual × side</th><td>0.0117297800</td><td>0.0000930935</td><td>126</td><td>2.31</td><td><0.0001</td><td>6.07</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.0112943700</td><td>0.000040337</td><td>280</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Occupancy mosaics in forested areas</b></th></tr><tr><th>Individual</th><td>0.1059661700</td><td>0.0003440460</td><td>308</td><td>4.42</td><td><0.0001</td><td>9.69</td><td><0.0001</td></tr><tr><th>Side</th><td>0.0049395300</td><td>0.0003528236</td><td>14</td><td>4.53</td><td><0.0001</td><td>0.85</td><td>0.0311</td></tr><tr><th>Individual × side</th><td>0.0239852500</td><td>0.0000778742</td><td>308</td><td>2.00</td><td><0.0001</td><td>6.64</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.0251368400</td><td>0.0000390324</td><td>644</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Cocoa plantations</b></th></tr><tr><th>Individual</th><td>0.1292837500</td><td>0.0003420205</td><td>378</td><td>5.68</td><td><0.0001</td><td>10.51</td><td><0.0001</td></tr><tr><th>Side</th><td>0.0043550500</td><td>0.0003110747</td><td>14</td><td>5.17</td><td><0.0001</td><td>0.84</td><td>0.0016</td></tr><tr><th>Individual × side</th><td>0.0227608400</td><td>0.0000602139</td><td>378</td><td>2.24</td><td><0.0001</td><td>6.17</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.0210413800</td><td>0.0000268385</td><td>714</td><td>–</td><td>–</td><td>–</td><td>–</td></tr></tbody></table>
Reproduction package for the paper: "Cold day-side winds shape large leading streams in evaporating exoplanet atmospheres"
<p>Supplementary material for the paper "Cold day-side winds shape large leading streams in evaporating exoplanet atmospheres" by Nail et al. (2024). <br><br>We provide the results of the 3D hydrodynamic simulation with Athena++, with key files including the input file and a snapshot from the simulation taken after 8 orbits for all models discussed in the paper. The post-processing is performed using a radiative transfer code found in the "post-process_HAT67" folder. This code, described by MacLeod & Oklopcic (2022), produces synthetic spectra from the simulation snapshots and has been enhanced for precise calculations in high-density regions. Additionally, a Jupyter notebook demonstrates how to analyze the data and create the figures presented in the paper.</p> <p>Note: In the new version of the paper, we use "dtaui = d['nhe3'] * d['dr'] * csi * Voigt(nu_cell, da1, natural_gamma)" in the Figures.ipynb notebook in cell 42. </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.