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7 results for “Convex Hull”

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zenodo44/100

Experimental 3D convex hull tiling of a wild moss specimen ( Rhytidiadelphus or Eurhynchium ?) embedded in 1% agarose

<p>Experimental 3D convex hull tiling of a wild moss specimen ( Rhytidiadelphus or Eurhynchium ?) embedded in 1% agarose</p> <p>Raw data consists of 18 tiles of varying number of Z stacks, depending on where the 3D convex hull points were determined.</p> <p>Images acquired on a Zeiss Lightsheet Z1 using a W Plan-Apochromat 20x/1.0 UV-VIS objective simultaneous dual camera acquisition of autofluorescence under 488nm and 561nm excitation.</p> <p>Original voxel sizes are (x,y,z) = (0.326, 0.326, 2.0) microns</p> <p>Data provided here are tiles fused using BigStitcher, downsampled to the following voxel sizes</p> <p>- Moss_Fused_Downsampled.tif: (4, 4, 24) microns<br> - Moss_Fused_Downsampled_Anisotropy_2.tif: (12, 12, 24) microns</p> <p>Sample acquisition, sample preparation, imaging and stitching performed by Olivier Burri, at the Ecole Polytechnique F&eacute;d&eacute;rale de Lausanne BioImaging and Optics Platform (EPFL - SV - PTECH - PTBIOP)</p>

opencc-by-4.0Feb 2023View details →
zenodo40/100

FIGURE 5. Panthera atrox reconstruction showing differences between simple convex hulls and more complex reconstructions. 1 in Reconstruction of the musculoskeletal system in an extinct lion

FIGURE 5. Panthera atrox reconstruction showing differences between simple convex hulls and more complex reconstructions. 1, Reconstructed muscles overlaid on the convex hull of just the bones. Any muscles that are visible extend beyond the range of the convex hull, thereby demonstrating the underestimation of size by convex hulls based solely on bones. 2, Reconstructions showing the posteroventral movement of the centre of mass (COM) between the bone convex hull and the muscled convex hull models of Panthera atrox. Scale bar is 50 cm.

opencc-by-4.0May 2017View details →
zenodo36/100

A Convex Hull Formulation for the Design of Optimal Mixtures

<p>The files contain some of the formulations implemented in GAMS for this publication. All problems are solved in GAMS version 24.2.3 and are run on a single core of a dual 6 core Intel Xeon X5675 machine at 3.07 GHz.</p> <p>Supplementary files can be found at: <em>https://zenodo.org/record/35234</em></p>

opencc-zeroFeb 2016View details →
dryad36/100

Decoratype-based materials informatics: Polaritype identification, convex hull DFT calculations, training data, and predicted compounds data

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publicDec 2025View details →
dryad32/100

Convex hull estimation of mammalian body segment parameters

<p><span>Obtaining accurate values for body segment parameters (BSPs) is fundamental in many biomechanical studies, particularly for gait analysis. Convex hulling, where the smallest-possible convex object that surrounds a set of points is calculated, has been suggested as an effective and time-efficient method to estimate these parameters in extinct animals, where soft tissues are rarely preserved. We investigated the effectiveness of convex hull BSP estimation in a range of extant mammals, to inform the potential future usage of this technique with extinct taxa. Computed tomography scans of both the skeleton and skin of every species investigated were virtually segmented. BSPs (the mass, position of the centre of mass and inertial tensors of each segment) were calculated from the resultant soft tissue segments, while the bone segments were used as the basis for convex hull reconstructions. We performed phylogenetic generalised least squares and ordinary least squares regressions to compare the BSPs calculated from soft tissue segments with those estimated using convex hulls, finding consistent predictive relationships for each body segment. The resultant regression equations can therefore be used with confidence in future volumetric reconstruction and biomechanical analyses of mammals, in both extinct and extant species where such data may not be available.</span></p>

opencc-zeroJun 2021View details →
dryad32/100

Convex hull estimation of mammalian body segment parameters

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publicJun 2021View details →
dryad24/100

Data from: LobeFinder: a convex hull-based method for quantitative boundary analyses of lobed plant cells

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publicJun 2017View details →

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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