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”
Figure 10 in Shape variation in the mole dentary (Talpidae: Mammalia)
Figure 10. Distribution of talpid horizontal ramus shape in the RW-1 versus RW-2 (A) and RW-2 versus RW-3 (B) shape planes and corresponding shape models (C and D). L values = percentage variance accounted for by each axis based on singular values. For symbol shading conventions see text.
Figure 9 in Shape variation in the mole dentary (Talpidae: Mammalia)
Figure 9. Distribution of angular process outline shape among fully fossorial moles in the ES-1 versus ES-2 and ES-2 versus ES-3 for Talpini (A and B, respectively), Scalopini (C and D) and corresponding outline shape models (E and F). Least convex hulls show position within the shape space that each genus occupies. Arrow refers to position of specimen mentioned in the text.
Figure 7 in Shape variation in the mole dentary (Talpidae: Mammalia)
Figure 7. Distribution of condylar process outline shape among fully fossorial moles in the ES-1 versus ES-2 and ES-2 versus ES-3 shape planes for Talpini (A and B, respectively), Scalopini (C and D) and corresponding outline shape models (E and F). Least convex hulls show position within the shape space that each genus occupies. Arrow refers to position of specimen mentioned in the text.
Figure 8 in Shape variation in the mole dentary (Talpidae: Mammalia)
Figure 8. Distribution of talpid angular process outline shape in the ES-1 versus ES-2 (A) and ES-2 versus ES-3 (B) shape planes and corresponding outline shape models (C and D). L values = percentage variance accounted for by each axis based on singular values. For symbol shading conventions see text.
Figure 3 in Shape variation in the mole dentary (Talpidae: Mammalia)
Figure 3. Landmark locations on a talpid dentary. Anatomical descriptions of landmarks are as follows (types correspond to classification of Bookstein, 1991). (1) Anterior-most point of the dentary where the bone meets the anterior edge of the first incisor (Type 1). (2) Maximum curvature on the ventral border between the angular process and the most ventral point on the horizontal ramus (Type 2). (3) Maximum curvature of the posterior boundary between the angular process and the condylar process (Type 2). (4) Maximum curvature of the dorso-posterior boundary between the coronoid process and condylar process (Type 2). (5) Point where posterior edge of the 3rd molar meets the dentary bone, at the base of the coronoid process (Type 1). (6) Point where anterior edge of the 1st molar meets the dentary bone (Type 1).
Figure 6 in Shape variation in the mole dentary (Talpidae: Mammalia)
Figure 6. Distribution of talpid condylar process outline shape in the ES-1 versus ES-2 (A) and ES-2 versus ES-3 (B) shape planes and corresponding outline shape models (C and D). L values = percentage variance accounted for by each axis based on singular values. For symbol shading conventions see text.
Figure 12 in Shape variation in the mole dentary (Talpidae: Mammalia)
Figure 12. Distribution of horizontal ramus shape among fully fossorial moles in the RW-1 versus RW-2 and RW-2 versus RW-3 shape planes for Talpini (A and B, respectively), Scalopini (C and D) and corresponding shape models (E and F). Least convex hulls show position within the shape space that each genus occupies.
Figure 9. Mapped and reconstructed soldier head shapes positioned across a Termitidae phylogeny. Nodes a–g in Termite soldier defence strategies: a reassessment of Prestwich's classification and an examination of the evolution of defence morphology using extended eigenshape analyses of head morphology
Figure 9. Mapped and reconstructed soldier head shapes positioned across a Termitidae phylogeny. Nodes a–g are referred to in the text.
Fig. 5. Typical arm spine shape. A in Interactive identification key to all brittle star families (Echinodermata; Ophiuroidea) leads to revised morphological descriptions
Fig. 5. Typical arm spine shape. A. Tapering (conical): distally ⅓ as thick as proximal diameter with a round cross-section; Pointed: distally half as thick as proximal diameter with a round cross-section; Cylindrical: same thickness at both ends with flat/round tip. B. Flat: distally half as thick as proximal diameter with oval cross-section. Red dashed lines show the ⅓ distal cross-section. The letters ʻaʼ and ʻbʼ illustrate the diameter of ⅓ distal and basal cross-sections, respectively. ʻa/bʼ shows the approximate ratio of these diameters.
Skull shape data for 188 species of living Carnivora
<p>There are 5 files. Two include 2D coordinates used to quantify cranium and mandible shape for a sample of 188 averaged Carnivora species. These coordinates are in .NTS format. Another file is the phylogenetic tree employed for this study in nexus format. In Excel there is museum catalog list of all the specimens included in the study while the text file RoutineR.txt include most of the scripts employed in this study with examples on how to run simulations and other analyses. </p>
Data from: Cryogenic land surface processes shape vegetation biomass patterns in northern European tundra
<p>Tundra ecosystems have experienced changes in vegetation composition, distribution, and productivity over the past century due to climate warming. However, the increase in above-ground biomass (AGB) may be constrained by cryogenic land surface processes (LSP) that cause topsoil disturbance and variable microsite conditions. These effects have remained unaccounted for in tundra biomass models, although they can impact multiple opposing feedbacks between the biosphere and atmosphere, ecosystem functioning and biodiversity. Here, by using field-quantified data from northern Europe, remote sensing, and machine learning, we show that LSP substantially constrain AGB in tundra. The three surveyed LSP (cryoturbation, solifluction and nivation) collectively reduced AGB by an average of 123.0 g m<sup>-2 </sup>(-30.0%). This effect was significant over landscape positions and was especially pronounced in snowbed environments, where the mean reduction in AGB was 57.3%. Our results imply that LSP are pivotal in shaping future patterns of tundra biomass, as long as cryogenic ground activity is retained by climate warming.</p> <p>These are the key data and codes related from Aalto et al., (2021).</p> <p> </p>
Measuring hidden phenotype: quantifying the shape of barley seeds using the Euler characteristic transform
<p>Shape plays a fundamental role in biology. Traditional phenotypic analysis methods measure some features but fail to measure the information embedded in shape comprehensively. To extract, compare and analyse this information embedded in a robust and concise way, we turn to topological data analysis (TDA), specifically the Euler characteristic transform. TDA measures shape comprehensively using mathematical representations based on algebraic topology features. To study its use, we compute both traditional and topological shape descriptors to quantify the morphology of 3121 barley seeds scanned with X-ray computed tomography (CT) technology at 127 μm resolution. The Euler characteristic transform measures shape by analysing topological features of an object at thresholds across a number of directional axes. A Kruskal–Wallis analysis of the information encoded by the topological signature reveals that the Euler characteristic transform picks up successfully the shape of the crease and bottom of the seeds. Moreover, while traditional shape descriptors can cluster the seeds based on their accession, topological shape descriptors can cluster them further based on their panicle. We then successfully train a support vector machine to classify 28 different accessions of barley based exclusively on the shape of their grains. We observe that combining both traditional and topological descriptors classifies barley seeds better than using just traditional descriptors alone. This improvement suggests that TDA is thus a powerful complement to traditional morphometrics to comprehensively describe a multitude of 'hidden' shape nuances which are otherwise not detected.</p>
Top-down modulation of shape and roughness discrimination in active touch by covert attention
<p>Due to limitations in perceptual processing, information relevant to momentary task goals is selected from the vast amount of available sensory information by top-down mechanisms (e.g. attention) that can increase perceptual performance. We investigated how covert attention affects perception of 3D objects in active touch. In our experiment, participants simultaneously explored the shape and roughness of two objects in sequence, and were told afterwards to compare the two objects with regard to one of the two features. To direct the focus of covert attention to the different features we manipulated the expectation of a shape or roughness judgment by varying the frequency of trials for each task (20%, 50%, 80%), then we measured discrimination thresholds. We found higher discrimination thresholds for both shape and roughness perception when the task was unexpected, compared to the conditions in which the task was expected (or both tasks were expected equally). Our results suggest that active touch perception is modulated by expectations about the task. This implies that despite fundamental differences, active and passive touch are affected by feature selective covert attention in a similar way.</p> <p> </p> <p>There are zip files for the main experiment and the two pilot experiments, which contain all data relative to the publication. The data of each participant is contained in a separate folder. This folder contains a *.raw file with the participant's answers for each session of the experiment and a "data" folder, which contains movement trajectories (*.trj files) for each session in separate folders.</p> <p>Variables of the main experiment are described in the file VARIABLE_CODES_MainExp.txt and the variables of the pilot experiments are described in the files VARIABLE_CODES_PilotRoughness.txt and VARIABLE_CODES_PilotShape.txt.</p>
Characterization of a Nickel-Titanium (55.3 Ni wt%) shape memory alloy wire
<p>Characterization of a Nickel-Titanium (55.3 Ni wt%) shape memory alloy (SMA) wire supplied by Memry (USA).</p> <p>Diameter : 0.50mm</p> <p>Data given by the supplier : Nitinol wire, Hard black oxide, thermally straightened, As = 53°C</p> <p>Differential Scanning Calorimetry (DSC) test (as received) : a virgin sample of NiTi wire (7.9mg) is submitted to an initial heating up to 250°C, followed by 2 cooling-heating cycles (250°C/-90°C/+250°C). Test speed : 10°C per minute. The DSC apparatus is a DSC 250 (TA Instruments) with nitrogen gas flow. The test files for the software Trios are supplied as well as the .csv data.</p> <p>Differential Scanning Calorimetry (DSC) test (50 cycles) : the NiTi wire maintained in a water bath at a temperature of 70°C is submitted to 50 mechanical cycles of loading up to 90N and unloading down to 0.5N (superelastic cycles). A sample of this wire (8.1mg) is submitted to a DSC with an initial heating up to 250°C, followed by 2 cooling-heating cycles (250°C/-90°C/+250°C). Test speed : 10°C per minute.</p> <p>Isothermal traction at 25 degrees : a specific testing apparatus (illustration in the file Apparatus.jpg) has been set up. The SMA wire is tested in a box containing water, a water pumping/heating/cooling apparatus enables to control the water temperature in order to precisely control the SMA wire temperature. One side of the box is made of transparent PMMA in order to monitor the wire strains by Digital Image Correlation (DIC). The tested part of the wire finds itself in water, and its upper end is clamped in the cylinder jaws of a displacement controlled ADAMEL DY31 testing machine. The water temperature is monitored by two type K thermocouples at two different locations inside the water volume. The load in the wire is registered using a 100N load cell and the deformations of the wire were measured by DIC on images acquired by a Pike F421B camera (Allied Vision Technologies). A Matlab routine has been set up to acquire simultaneously the deformation images with the load values. A virgin wire of the same spool has been submitted to axial traction in 25°C water with a speed of 10^-4 s^-1. The first traction test presents a strain localization along the wire. We were not interested in this phenomenon and only present here the 2nd, 3rd and 4th test which show a homogeneous strain along the observed zone of the wire. The strain has been measured with the software GOM Correlate, by computing the mean value of the axial strain on a rectangular zone of several centimeters on the wire. The GOM Correlate files are supplied, as well as the .csv values. Between each test, the wire has been extracted from the testing chamber, placed in a furnace at 100°C during several minutes and then placed in a deep freezer at -20°C during several minutes in order to always test a martensitic wire.</p> <p>Thermal cycling at 25°C : With the same apparatus, a load of 25N has been applied on the wire at 85°C and then maintained constant with the help of a PID controller in the TestWorks software. The wire being maintained at this constant load, the water has been cooled down to 15°C and heated up to 85°C. The strain field could not be measured accurately, and for this reason the strain named Axial Strain 1, Axial Strain 2 and Axial Strain 3 are computed with virtual gauges in GOM Correlate (only between two points). The strain may be heterogeneous along the wire.</p>
Influence of feature size and shape on corrosion of 316L lattice structures fabricated by laser powder bed fusion
<p><strong>An open dataset for the paper with the same title: "<em>Influence of feature size and shape on corrosion of 316L lattice structures fabricated by laser powder bed fusion</em>". </strong></p> <p><strong>The dataset contains, for example, 3D models, original and analyzed microCT data, video visualizations, tensile testing .csv files, microscopy images, and code resources. Selected works are presented as part of the paper.</strong></p> <p><strong>Abstract:</strong></p> <p><em>Laser powder bed fusion (LPBF) has become an established method for manufacturing end-use metal components. Exploiting the geometric freedom of additive manufacturing (AM) offers broad possibilities for part optimization and enables performance enhancements across industry sectors. However, part shape and feature size have been found to locally affect residual stresses, melt pool cooling rates, microstructure, and thus the mechanical properties of </em><em>components. Even though the mesoscale structure can locally induce microstructural changes, there are no prior studies on how it influences corrosion. </em><em>Using AM-produced, optimized parts in critical applications necessitates a better understanding of their long-term performance. In this study, lattice structures were used to probe the influence of feature size and shape on corrosion susceptibility and its spatial localization.</em></p> <p><em>The susceptibility of submillimeter LPBF-fabricated 316L stainless steel </em><em>lattice structures to corrosion was investigated by conducting a 21-day immersion corrosion test in an aqueous 3.5wt% NaCl solution. Schoen gyroid and Schwarz </em><em>diamond triply periodic minimal surface lattices were manufactured with three unit cell sizes and wall thicknesses (0.867, 0.515, and 0.323 mm). The nominal surface and cross-sectional areas were the same for the two geometries. X-ray microcomputed tomography (microCT) scans before and after the corrosion test were compared for volumetric losses. <em>In addition, the </em>mechanical properties and microstructure of the samples were evaluated.</em></p> <p><em>As part of the study, a workflow to register, index, and analyze volumetric changes of consecutive microCT image stacks was developed. The method is fully reported and applicable to time-lapse studies with microCT. Three out of five of the 0.323 mm wall thickness lattices displayed visually aggressive pitting. Based on the microcomputed tomography data, the mass losses were localized either in the entrapped powder particles or partially melted surface globules. Corrosion did not occur in the dense base material. The total mass losses ranged from 8 to 19 mg. Despite visual indications to support a higher corrosion susceptibility for the smallest lattice sizes, the mass loss values did not confirm this conclusion. The tensile test results did not provide any clear indications of latent corrosion effects on mechanical properties.</em></p> <p> </p> <p><em>Version 1.1: 'Microstructure.zip' was revised. Metallographic preparation and Beraha II etching was redone for selected samples. New images and grain size (and grain distribution) measurements were added.</em></p> <p><em>Version 1.2: 'CT_Data_Heatmap_example.zip' was added. </em></p>
Turbidity shapes shallow Southwestern Atlantic benthic reef communities
<p>Southwestern Atlantic reefs (Brazilian Province) occur along a broad latitudinal range (~5°N-27°S) and under varied environmental conditions. We provide here the database (reef benthic coverage) used by Santana et al. "Turbidity shapes shallow Southwestern Atlantic benthic reef communities" (Marine Environmental Research, in press). The data encompasses the four Brazilian oceanic islands and the coast (139 sites distributed between 0°55’N - 27°00’S) and is composed by a combination of location and depth.</p>
SYNTHETIC dataset attached to the paper "Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis"
<p>SYNTHETIC dataset to replicate the results in "Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis", accepted to IEEE/RSJ IROS 2022.</p> <p>In order to fully reproduce the experiments, download also the REAL dataset. </p> <p>To automatically download the REAL and SYNTHETIC dataset, run the script provided at the link below.</p> <p>Code to replicate the results available at: https://github.com/hsp-iit/prosthetic-grasping-experiments</p>
REAL dataset attached to the paper "Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis"
<p>REAL dataset to replicate the results in "Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis", accepted to IEEE/RSJ IROS 2022.</p> <p>In order to fully reproduce the experiments, download also the SYNTHETIC dataset. </p> <p>To automatically download the REAL and SYNTHETIC dataset, run the script provided at the link below.</p> <p>Code to replicate the results available at: https://github.com/hsp-iit/prosthetic-grasping-experiments</p>
Data for the article "Strain-induced shape anisotropy in antiferromagnetic structures"
<p>Data for the article "Strain-induced shape anisotropy in antiferromagnetic structures" </p> <p>URL: https://link.aps.org/doi/10.1103/PhysRevB.106.094430<br> DOI: 10.1103/PhysRevB.106.094430</p>
Data for: Determining Young's modulus of arbitrarily-shaped granite samples using accurate grain-based modelling with Micro-RME
<p>HaH 346 meteorite samples with shock melt veins are tested using the nanoindentation experiment with Berkovich indenter. The data includes Young's modulus of different rock-forming minerals measured by nanoindentation test and Raman spectrum data for jadeite and wadsleyite in HaH346 meteorite. </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.