Skip to main content
Powered by ShareScore

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

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

4 results for “Shape Correspondence”

Learn how ShareScore rates datasets ↗
zenodo36/100

TACO: a benchmark for connectivity-invariance in shape correspondence

<div> <h1>TACO: a benchmark for connectivity-invariance in shape correspondence</h1> </div> <p>In real-world scenarios, a major limitation for shape-matching datasets is represented by having all the meshes of the same subject share their connectivity across different poses. Specifically, similar connectivities could provide a significant bias for shape-matching algorithms, simplifying the matching process and potentially leading to correspondences based on recurring triangle patterns rather than geometric correspondences between mesh parts. As a consequence, the resulting correspondence may be meaningless, and the evaluation of the algorithm may be misled.<br>To overcome this limitation, we introduce TACO, a new dataset where meshes representing the same subject in different poses do not share the same connectivity, and we compute new ground truth correspondences between shapes. We extensively evaluate our dataset to ensure that ground truth isometries are properly preserved. We also use our dataset to validate state-of-the-art shape-matching algorithms, verifying a degradation in performance when the connectivity gets altered.</p> <p>&nbsp;</p> <h2><strong>Dataset structure</strong></h2> <ul> <li>offs: a directory containing all the triangular meshes in the dataset in <a href="https://en.wikipedia.org/wiki/OFF_(file_format)#:~:text=OFF%20(Object%20File%20Format)%20is,higher%2Ddimensional%20objects%20as%20well." target="_blank" rel="noopener">OFF file format</a></li> <li>pairs.txt: a list of all the 420 possible pairs of shapes in the dataset</li> <li>gt_matches: a directory containing all the ground truth correspondences listed in `pairs.txt` and stored in <a href="https://it.mathworks.com/help/matlab/apiref/matfileapi.html">MAT file format</a></li> </ul>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Instances and corresponding solutions for the U-shaped storage layout planning problem (USLPP)

<p>The set of&nbsp;instances and corresponding solutions, which were&nbsp;used in the computational study of the paper &ldquo;Ergonomic and economic optimization of layout and item assignment of a U-shaped order picking zone&rdquo;.</p>

opencc-by-4.0May 2019View details →
zenodo28/100

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 &sup1;:</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>&lt;0.0001</td><td>&ndash;</td><td>&ndash;</td></tr><tr><th>Side</th><td>0.00366522</td><td>0.0002036232</td><td>18</td><td>10.70</td><td>&lt;0.0001</td><td>&ndash;</td><td>&ndash;</td></tr><tr><th>Individual &times; side</th><td>0.00890443</td><td>0.0000190266</td><td>468</td><td>2.24</td><td>&lt;0.0001</td><td>&ndash;</td><td>&ndash;</td></tr><tr><th>Error 1</th><td>0.00825565</td><td>0.0000084935</td><td>972</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</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>&lt;0.0001</td><td>&ndash;</td><td>&ndash;</td></tr><tr><th>Side</th><td>0.00547536</td><td>0.0003041869</td><td>18</td><td>14.25</td><td>&lt;0.0001</td><td>&ndash;</td><td>&ndash;</td></tr><tr><th>Individual &times; side</th><td>0.02037065</td><td>0.0000213529</td><td>954</td><td>1.89</td><td>&lt;0.0001</td><td>&ndash;</td><td>&ndash;</td></tr><tr><th>Error 1</th><td>0.02201359</td><td>0.0000113239</td><td>1944</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</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>&lt;0.0001</td><td>&ndash;</td><td>&ndash;</td></tr><tr><th>Side</th><td>0.0113531900</td><td>0.0007095741</td><td>16</td><td>28.23</td><td>&lt;0.0001</td><td>&ndash;</td><td>&ndash;</td></tr><tr><th>Individual &times; side</th><td>0.0124666800</td><td>0.0000251344</td><td>496</td><td>1.88</td><td>&lt;0.0001</td><td>&ndash;</td><td>&ndash;</td></tr><tr><th>Error 1</th><td>0.0136608800</td><td>0.0000133407</td><td>1024</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</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>&lt;0.0001</td><td>14.16</td><td>&lt;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 &times; side</th><td>0.08696012</td><td>0.0001552859</td><td>560</td><td>2.46</td><td>&lt;0.0001</td><td>10.75</td><td>&lt;0.0001</td></tr><tr><th>Error 1</th><td>0.07312665</td><td>0.0000387718</td><td>1160</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</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>&lt;0.0001</td><td>14.70</td><td>&lt;0.0001</td></tr><tr><th>Side</th><td>0.01169771</td><td>0.0005848855</td><td>20</td><td>3.98</td><td>&lt;0.0001</td><td>0.74</td><td>0.0001</td></tr><tr><th>Individual &times; side</th><td>0.14685738</td><td>0.0001468574</td><td>1000</td><td>3.03</td><td>&lt;0.0001</td><td>11.21</td><td>&lt;0.0001</td></tr><tr><th>Error 1</th><td>0.09880745</td><td>0.0000484350</td><td>2040</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</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>&lt;0.0001</td><td>14.14</td><td>&lt;0.0001</td></tr><tr><th>Side</th><td>0.0143644400</td><td>0.0007182221</td><td>20</td><td>6.75</td><td>&lt;0.0001</td><td>0.86</td><td>0.0017</td></tr><tr><th>Individual &times; side</th><td>0.0723474900</td><td>0.0001063934</td><td>680</td><td>2.39</td><td>&lt;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>&ndash;</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</td></tr></tbody></table>

opennotspecifiedJan 2024View details →
zenodo28/100

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 &sup2;:</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>&lt;0.0001</td><td>&ndash;</td><td>&ndash;</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>&ndash;</td><td>&ndash;</td></tr><tr><th>Individual &times; side</th><td>0.0314069500</td><td>0.0003489662</td><td>90</td><td>5.89</td><td>&lt;0.0001</td><td>4.91</td><td>&lt;0.0001</td></tr><tr><th>Error 1</th><td>0.0118544100</td><td>0.0000592721</td><td>200</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</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>&lt;0.0001</td><td>7.15</td><td>&lt;0.0001</td></tr><tr><th>Side</th><td>0.0262808000</td><td>0.0026280796</td><td>10</td><td>12.28</td><td>&lt;0.0001</td><td>0.86</td><td>0.0022</td></tr><tr><th>Individual &times; side</th><td>0.0428160400</td><td>0.0002140802</td><td>200</td><td>2.68</td><td>&lt;0.0001</td><td>4.98</td><td>&lt;0.0001</td></tr><tr><th>Error 1</th><td>0.0335675700</td><td>0.0000799228</td><td>420</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</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>&lt;0.0001</td><td>7.11</td><td>&lt;0.0001</td></tr><tr><th>Side</th><td>0.0256608100</td><td>0.0025660812</td><td>10</td><td>11.24</td><td>&lt;0.0001</td><td>0.87</td><td>&lt;0.0001</td></tr><tr><th>Individual &times; side</th><td>0.0616394000</td><td>0.0002282941</td><td>270</td><td>3.10</td><td>&lt;0.0001</td><td>5.72</td><td>&lt;0.0001</td></tr><tr><th>Error 1</th><td>0.0412323300</td><td>0.0000736292</td><td>560</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</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>&lt;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 &times; side</th><td>0.0117297800</td><td>0.0000930935</td><td>126</td><td>2.31</td><td>&lt;0.0001</td><td>6.07</td><td>&lt;0.0001</td></tr><tr><th>Error 1</th><td>0.0112943700</td><td>0.000040337</td><td>280</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</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>&lt;0.0001</td><td>9.69</td><td>&lt;0.0001</td></tr><tr><th>Side</th><td>0.0049395300</td><td>0.0003528236</td><td>14</td><td>4.53</td><td>&lt;0.0001</td><td>0.85</td><td>0.0311</td></tr><tr><th>Individual &times; side</th><td>0.0239852500</td><td>0.0000778742</td><td>308</td><td>2.00</td><td>&lt;0.0001</td><td>6.64</td><td>&lt;0.0001</td></tr><tr><th>Error 1</th><td>0.0251368400</td><td>0.0000390324</td><td>644</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</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>&lt;0.0001</td><td>10.51</td><td>&lt;0.0001</td></tr><tr><th>Side</th><td>0.0043550500</td><td>0.0003110747</td><td>14</td><td>5.17</td><td>&lt;0.0001</td><td>0.84</td><td>0.0016</td></tr><tr><th>Individual &times; side</th><td>0.0227608400</td><td>0.0000602139</td><td>378</td><td>2.24</td><td>&lt;0.0001</td><td>6.17</td><td>&lt;0.0001</td></tr><tr><th>Error 1</th><td>0.0210413800</td><td>0.0000268385</td><td>714</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</td><td>&ndash;</td></tr></tbody></table>

opennotspecifiedJan 2024View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.