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”
Object Shape Recognition and Targeting Using 4x4 Ultrasonic Sensor Array
Open the record for dataset details and reuse information.
Data for: Multiple behavioral mechanisms shape development in a highly social cichlid fish
<p>Early-life social experiences shape adult phenotype, yet the underlying behavioral mechanisms remain poorly understood. We manipulated early-life social experience in the highly social African cichlid fish Astatotilapia burtoni to investigate the effects on behavior and stress axis function in juveniles. Juveniles experienced different numbers of social partners in stable pairs (1 partner), stable groups (6 fish; 5 partners), and socialized pairs (a novel fish was exchanged every 5 days; 5 partners). Treatments also differed in group size (groups vs. pairs) and stability (stable vs. socialized). We then measured individual behavior and water-borne cortisol to identify effects of early-life experience. We found treatment differences in behavior across all assays: open field exploration, social cue investigation, dominant behavior, and subordinate behavior. Treatment did not affect cortisol. Principal components (PC) analysis revealed robust co-variation of behavior across contexts, including with cortisol, to form behavioral syndromes sensitive to early-life social experience. PC1 (25.1 %) differed by social partner number: juveniles with more partners (groups and socialized pairs) were more exploratory during the social cue investigation, spent less time in the territory, and were more interactive as dominants. PC5 (8.5 %) differed by stability: socialized pairs were more dominant, spent less time in and around the territory, were more socially investigative, and had lower cortisol than stable groups or pairs. Observations of the home tanks provided insights into the social experiences that may underlie these effects. These results contribute to our understanding of how early-life social experiences are accrued and exert strong, lasting effects on phenotype.</p>
Visible Light: Shaping Chemical Intelligence in Proteinoid-ZnO Interfaces
<p>Raw data for the paper "Visible Light: Shaping Chemical Intelligence in Proteinoid-ZnO Interfaces"</p>
Fig. 2 in A geometric morphometric study of the wing shapes of Pieris rapae (Lepidoptera: Pieridae) from the Qinling Mountains and adjacent regions: An environmental and distance-based consideration
Fig. 2. Distribution of landmarks on P. rapae forewing and hind wing.
Research compendium for "Beyond Large Shaped Tools: Technological innovations and continuities at the late Early Pleistocene assemblage of El Barranc de la Boella (Tarragona, Spain)."
<p>Overview of contents and how to reproduce:</p> <p>This repository contains the codes and datasets for reproducing the results of Lombao,D., Morales, J.I., Mosquera, M., Ollé, A., Saladié, P., Vallverdú, J. "Beyond Large Shaped Tools: Technological innovations and continuities at the late Early Pleistocene assemblage of El Barranc de la Boella (Tarragona, Spain)." Journal of Paleolithic Archaeology. DOI : 10.1007/s41982-024-00189-9</p> <p>Readers can start their own analyses by using the R Markdown file and the datasets. Please, download the complete repository and reproduce the results using `Research compendium for Beyond Large Shaped Tools.Rproj.</p>
Inverse Design of Metamaterials with Manufacturing-Aware Spectrum-to-Shape Diffusion Models
<p>The dataset includes detailed information on the MIM tri-layer metamaterial structures designed and used for training the DiffMeta framework. Specifically, it contains 60000 data:</p> <p>Structural Data: Detailed geometric patterns and composition parameters of the designed MIM tri-layer metamaterial structures.</p> <p>Spectral Data: Spectral measurements on MIM tri-layer metamaterial structures, including emissivity, reflectivity and transmittance spectra across a range of wavelengths.<br><br>The dataset is meticulously organized to facilitate the replication of our study and support further research in the field of metamaterial design. </p>
Data underlying "Neuro-evolutionary evidence for a universal fractal primate brain shape"
<p>This is the data that is required to run the code underlying the paper: Neuro-evolutionary evidence for a universal fractal primate brain shape (eLife 2024)</p> <p>The code can be found here: <a href="https://github.com/cnnp-lab/2024_Folding_scales">https://github.com/cnnp-lab/2024_Folding_scales</a>, and provides more details about the file structure and purpose.</p>
Bite force transmission and mandible shape in grasshoppers, crickets, and allies is not driven by dietary niches
<p>This is the R code and raw data to reproduce the analyses of the manuscript "Bite force transmission and mandible shape in grasshoppers, crickets, and allies is not driven by dietary niches"</p>
Fig. 7. Reconstructed denticles shapes using a in Geometric morphometric on a new species of Trichodinidae. A tool to discriminate trichodinid species combined with traditional morphology and molecular analysis
Fig. 7. Reconstructed denticles shapes using a range of 20 harmonic.
Probabilistic Shaping over Multi-Subcarrier Modulation - LAB Data
<p>Experimental data of long-haul transmission with probabilistic shaping 36QAM and multi-subcarrier 16QAM. Data sets include optical back-to-back (OB2B) and recirculating loop (LOOP) measurements for 1, 4 and 8 subcarriers.</p>
The role of external inputs and internal cycling in shaping the global ocean cobalt distribution: insights from the first cobalt biogeochemical model
<p>Model output for cobalt biogeochemistry model on ORCA2 grid.</p>
Lithosphere removal (delamination) following continental collision: shape and complexity of observables predicted from 3D numerical models
<p>Upload contains most essential data files from the manuscript. The raw data amount to several TB and cannot be uploaded.</p> <p><strong>1 Model data</strong></p> <p><em>1.1 Models covered</em></p> <p>Relatively frequent output is available for the reference model (<em>R</em> in paper, see Table S2), prefixed <em>dp10</em>. Limited output is uploaded for models with geometric variations (<em>OSM -> dp19, TSM->dp26</em>).</p> <p><em>1.2 Types of data</em></p> <p>Most files are visualisation files (ending *.<em>vtr</em>). These are intended for loading into the visualisation software Paraview. Files starting with <em>comp_</em> contain the lithological composition field; other visualisation files hold the fields of selected physical parameters. Note that as of the design of the study, the maximum file size allowed for loading into Paraview is ca. 2 GB. This limits the number of fields available according to model size - larger models (geometrical variations) hold therefore less fields.</p> <p>Binary files with ending *.<em>prn</em> are saved model states, from which programs can be rerun.</p> <p>Time information mapping step numbers to years is provided in <em>times...txt</em>.</p> <p> </p> <p><strong>2 Software for reproduction</strong></p> <p>The numerical code is not in the public domain, and its use is restricted. A pre-compiled binary is provided and allows reproduction of the main/reference model. We present the input files; however, these cannot be changed freely (equivalent to software distribution), and changes will lead to termination of the program.</p> <p><em>2.1 Requirements, preparation and use</em></p> <p>The code is compiled on CentOS with gcc 4.8.2. There is no library dependency, apart from the intrinsic OpenMP and glibc (>= 2.17). The following requirements <em>must</em> be satisfied in order to run it:</p> <ul> <li>Linux OS (tested on CentOS and Fedora)</li> <li>> 160 GB shared memory</li> </ul> <p>The following provisions are recommended:</p> <ul> <li>16 cores</li> <li>high bandwidth storage</li> <li>storage space <em>O</em>(TB)</li> </ul> <p>To prepare, simply unzip the provided snapshot <em>clsd_reproduce_gcc_CentOS.zip</em> in an appropriate directory (cluster). The input file <em>init.t3c</em> sets the initial conditions; the input file <em>mode.t3c </em>controls solver and file output. <em>file.t3c</em> is the pointer to the last output step; if a model snapshot is available as binary dump (*.prn file), setting the pointer to its number allows restarting.</p> <p>For normal usage, create initial condition with executable <em>in3mg</em>, and subsequently run <em>i3mg</em>. This will create snapshots and *.vtr visualisation files.</p> <p> </p> <p>High-performance computing facilities, runtime (months), proper software environment, and training in use of the code, or in the use of the visualisation software, are not provided.</p> <p> </p>
Automated recognition of RNA structure motifs by their SHAPE data signatures
<p>Datasets, code and results supporting the manuscript:</p> <p>Radecki P., Ledda M. & Aviran S., Automated recognition of RNA structure motifs by their SHAPE data signatures</p>
Body shapes collection
<p>This dataset is a subset of a collection of statistically derived body shapes developed by the Institute of Biomechanics (<a href="http://www.ibv.org">www.ibv .org</a>) for the InKreate project (<a href="https://www.inkreate.eu/">https://www.inkreate.eu/</a>). The purpose of the collection is to offer a set of ready-to-use realistic body shapes that could be used for design development. Given the purpose of the collection, statistically available body shapes had to be grouped into a finite number of categories using parameters familiar to designers.</p> <p>The original collection of body models consists of 32 female bodies and 24 male bodies. Combined with four poses, the final collection consists of 224 realistic avatars. The released subset includes 8 females and 6 males. This subset can serve to show design students how the shape of the body varies realistically according to its size and shape.</p>
Raw Experimental Data for work presented in 'Precise Localization of Multiple Noncooperative Objects in a Disordered Cavity by Wave Front Shaping'
<p>This is the raw experimental data for the work presented in 'Precise Localization of Multiple Noncooperative Objects in a Disordered Cavity by Wave Front Shaping', to be published in Physical Review Letters.</p> <p> </p> <p>https://journals.aps.org/prl/accepted/b307fY31A5a13c5579fc4252303f8b2e5e024fc00</p> <p> </p> <p>See the README file for an explanation of the data.</p> <p> </p> <p> </p>
[Supp. mat.] Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: initial application to the GENFI cohort
<p>Supplementary tables and figure of paper Spatio-temporal analysis for detection of pre-symptomatic shape changes in neuro-degenerative diseases: initial application to the GENFI cohort, for testing different number of clusters of the spatio-temporal regression. The supplementary materials shows results for 2 4 6 8 12 14 and 16 clusters. The 10 clusters analysis is in the paper.</p>
Synthetic meshes of hippocampi, for statistical shape analysis validation
<p>Those synthetic data have been generated for the validation of the iterative centroid method published in "Statistical shape analysis of large datasets based on diffeomorphic iterative centroids", which code can be found here: https://github.com/cclairec/Iterative_Centroid</p> <p>The 50 random populations are all generated from a same shape S0. We generated random deformations around S0 and symmetrised the deformations, so the centre of the populations is S0. More details in the paper.</p> <p>Each data set is composed by 50 shapes. The Matlab files contain:</p> <p>- moment: The initial momentum vector used to generate each subject of the population</p> <p>- SkelSuj_Rigid: The first line contains the vertices and faces of each subject. The second line contains the parameters to generate the initial momentum vectors and the subjects.</p>
Geometric focusing of supercurrent in hourglass-shaped ballistic Josephson junctions
<p>Dataset and code for publication "Geometric focusing of supercurrent in hourglass-shaped ballistic Josephson junctions"</p>
Data for : Social equity shapes zone-selection: Balancing aquatic biodiversity conservation and ecosystem services delivery in the transboundary Danube River Basin
<p>Freshwater biodiversity is declining, despite national and international efforts to manage and protect <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/freshwater-ecosystem">freshwater ecosystems</a>. Ecosystem-based management (EBM) has been proposed as an approach that could more efficiently and adaptively <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/ecological-balance">balance ecological</a> and societal needs. However, this raises the question of how social and ecological objectives can be included in an <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/integrated-management">integrated management</a> plan. Here, we present a generic model-coupling framework tailored to address this question for freshwater ecosystems, using three components: biodiversity, ecosystem services (ESS), and a spatial prioritisation that aims to balance the spatial representation of biodiversity and <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/evolutionarily-stable-strategy">ESS</a> supply and demand. We illustrate this model-coupling approach within the Danube River Basin using the spatially explicit, potential distribution of (i) 85 fish species as a surrogate for biodiversity as modelled using hierarchical Bayesian models, and (ii) four estimated ESS layers produced by the <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/artificial-intelligence">Artificial Intelligence</a> for Ecosystem Services (ARIES) platform (with ESS supply defined as <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/carbon-sequestration">carbon storage</a> and flood regulation, and demand specified as recreation and water use). These are then used for (iii) a joint spatial prioritisation of biodiversity and ESS employing Marxan with Zones, laying out the spatial representation of multiple management zones. Given the transboundary setting of the Danube River Basin, we also run comparative analyses including the country-level <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/purchasing-power-parity">purchasing power parity</a> (PPP)-adjusted gross domestic product (GDP) and each country's percent cover of the total basin area as potential cost factors, illustrating a scheme for balancing the share of establishing specific zones among countries. We demonstrate how emphasizing various biodiversity or ESS targets in an EBM model-coupling framework can be used to cost-effectively test various spatially explicit management options across a multi-national case study. We further discuss possible limitations, future developments, and requirements for effectively managing a balance between biodiversity and ESS supply and demand in freshwater ecosystems.</p>
Lever Up Trajectories for Various Shapes
<p>This dataset contains shape information for objects with different geometries and their trajectories for lever up motion. </p> <p>Shape Related:</p> <ol> <li>STL of objects</li> <li>Top Down image of object</li> </ol> <p>Position related:</p> <ol> <li>Trajectory of objects center of mass</li> <li>Trajectory of lever-up position( Where end effector contacts the object0)</li> </ol>
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.