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.
1,163
datasets available to search
ShareScore release 0.9.0
Dataset results
1,163 results for “demonstration”
FIGURE 3 in Heterochrony in helicoid spiral cones: a computer model for demonstrating heterochronic evolution
FIGURE 3. Modes of heterochronic change. The central simulation has parameters W0=2.5, ΔW=-0.12, D=0, S=0.8, T'0=0.4, ΔT'=0.06, and has six whorls. The other four simulations show the result of one increment of each mode of heterochronic change. The two forms on the left are paedomorphic; the forms on the right are peramorphic. Note that in this case neoteny results in larger size as the ontogenetic decline in whorl expansion is reduced, and acceleration results in a smaller size for the converse reason.
FIGURE 6. Heterochronic modelling experiment 3 in Heterochrony in helicoid spiral cones: a computer model for demonstrating heterochronic evolution
FIGURE 6. Heterochronic modelling experiment 3. The "ancestor" on the left has parameters W0=2, ΔW=-0.05, D=0, S=0.9, T'0=0.2, ΔT'=0.07, and has eight whorls. As in Figure 4, this is a common general type of gastropod shell shape. The central simulation is a "descendant" derived from this by two increments of neoteny (relative scale x 0.5); the simulation on the right has resulted from two further increments of neoteny (relative scale x 0.39). All three simulations have analogues in the Family Helicidae of the Pulmonata, and this result constitutes a hypothesis for the possible heterochronic evolution of forms with flattened spires (depressed and sub-planispiral).
FIGURE 2 in Heterochrony in helicoid spiral cones: a computer model for demonstrating heterochronic evolution
FIGURE 2. Isometric and allometric gastropods and simulations. 1, An example of a "Raupian" gastropod (Epitonium), showing isometric growth. 2, An example of a "Raupian" simulation with similar shape. 3, An example of an allometric gastropod (Megacochlea); note that there is no straight line that is tangential to the outside of all whorls. 4, A simulation using the program described here with similar shape. (Figures 2.1 and 2.3 © The Trustees of the Natural History Museum, London, reproduced from Anon, 1975, with kind permission.)
FIGURE 1 in Heterochrony in helicoid spiral cones: a computer model for demonstrating heterochronic evolution
FIGURE 1. Raup's definition of the shell dimensions on which the equations for parameters W, D and T are derived. Based on Raup (1966).
FIGURE 5. Heterochronic modelling experiment 2 in Heterochrony in helicoid spiral cones: a computer model for demonstrating heterochronic evolution
FIGURE 5. Heterochronic modelling experiment 2. The "ancestor" on the left has parameters W0=1.1, ΔW=0.05, D=0, S=2.3, T'0=2, ΔT'=-0.03, and has 10 whorls. It has a form, including the slightly concave profile of the spire, which is similar to some members of the Family Volutidae. The next simulations are "descendants" derived from this by successive increments of acceleration (relative scales x 0.5, x 0.225, x 0.0875, respectively). All of these have parallels in the Volutidae, with the final form resembling the giant volutids in the genus Melo. The observation that the simulation predicts the large size of the final form supports the heterochronic hypothesis in the evolution of these gastropods.
FIGURE 4. Heterochronic modelling experiment 1 in Heterochrony in helicoid spiral cones: a computer model for demonstrating heterochronic evolution
FIGURE 4. Heterochronic modelling experiment 1. The "ancestor" on the left has parameters W0=2.5, ΔW=-0.1, D=0, S=1, T'0=0, ΔT'=0.15, and has seven whorls. It has a general shape that is common in gastropods, and especially amongst the subclass Pulmonata. The central simulation is derived from this by one increment of acceleration (relative scale x 1.5) and the simulation on the right by two increments of acceleration (relative scale x 2). The incipient reduction in whorl diameter and incipient loss of whorl-to-whorl contact is typical of some Pulmonata, such as Family Chondrinidae. Note that if Raup's T were used, incipient reduction in whorl diameter (W<1) would lead to reversal of the translation direction, which is nonsensical; using T', this is not the case.
RGB-Based Behavior Cloning Dataset for Surgical Robotics: 99,522 Episodes of Optimal Demonstrations
<h3><strong>Dataset Description</strong>:</h3> <p>This dataset contains 99,522 episodes of RGB-based state-action-reward expert demonstrations collected from a reaching task within a surgical robotics simulation environment, LapGym (Scheikl et al.). The data was generated using the LapGym ReachEnv, where a robotic grasper is tasked with reaching a specific point in 3D space. Each episode consists of a series of RGB images (64x64 pixels), corresponding actions, rewards, and terminal flags, designed for training behavior cloning and offline RL algorithms.</p> <p>This dataset was created for the paper "Assessing Behavior Cloning with RGB Inputs in Surgical Robotics Through Dataset Ablation". The expert demonstrations were collected using an optimal agent, where actions were computed based on the known locations of the grasper and the point of interest.</p> <p>The specific settings for the ReachEnv environment used to collect the dataset are as follows:</p> <ul> <li><strong>Environment</strong>: <code>ReachEnv</code></li> <li><strong>Observation Type</strong>: <code>RGB</code></li> <li><strong>Render Mode</strong>: <code>HUMAN</code></li> <li><strong>Action Type</strong>: <code>CONTINUOUS</code></li> <li><strong>Distance to Target Threshold</strong>: <code>0.01</code></li> <li><strong>Image Shape</strong>: <code>(64, 64)</code></li> <li><strong>Frame Skip</strong>: <code>1</code></li> <li><strong>Time Step</strong>: <code>0.1</code></li> <li><strong>Reward Amounts</strong>: <ul> <li><strong>Distance to Target</strong>: <code>0.0</code></li> <li><strong>Delta Distance to Target</strong>: <code>0.0</code></li> <li><strong>Successful Task</strong>: <code>100.0</code></li> <li><strong>Time Step Cost</strong>: <code>0.0</code></li> <li><strong>Workspace Violation</strong>: <code>0.0</code></li> </ul> </li> <li><strong>Sphere Radius</strong>: <code>0.020</code></li> </ul> <p>Key features of the dataset include:</p> <ul> <li><strong>RGB Inputs</strong>: Each episode includes 64x64 RGB frames representing the environment's visual state.</li> <li><strong>Optimal Demonstrations</strong>: All actions represent optimal behavior for completing the reach task.</li> <li><strong>Sparse Rewards</strong>: Rewards are only provided upon successful task completion, offering a challenging learning scenario.</li> <li><strong>Varied Episode Lengths</strong>: Episodes vary in length, depending on how quickly the task is completed.</li> </ul> <h3><strong>Applications</strong>:</h3> <p>This dataset is designed for research in:</p> <ul> <li>Behavior cloning with RGB image inputs.</li> <li>Data efficiency and sample efficiency in imitation learning.</li> <li>Offline reinforcement learning with visual inputs.</li> </ul> <h3><strong>Structure</strong>:</h3> <ul> <li><strong>Observations</strong>: Images stored as 64x64 RGB pixel arrays.</li> <li><strong>Actions</strong>: Continuous actions corresponding to the robotic grasper’s movements.</li> <li><strong>Rewards</strong>: Sparse rewards indicating task success.</li> <li><strong>Terminals</strong>: Terminal flags for task completion.</li> </ul> <h3><strong>How to Use</strong>:</h3> <p>This dataset can be used to train and evaluate offline models for robotic control tasks in conjunction with LapGym, particularly in the domain of surgical robotics. It is especially suited for behavior cloning experiments, offline reinforcement learning, and studies on data efficiency.</p> <h3><strong>Citation</strong>:</h3> <p>Please cite this dataset in any publications as:<br><em>Acs and Zhong (2024). RGB-Based Behavior Cloning Dataset for Surgical Robotics: 99,522 Episodes of Optimal Demonstrations. </em></p>
HAND Skills demOnstrated by Multi-subjEcts (HANDSOME) Dataset
<p>The HANDSOME (HAND Skills demOnstrated by Multi-subjEcts) dataset is designed to provide reliable hands and objects motion data during human demonstrations of manual activities. This dataset was originally collected to study interactions between hands and objects in various contexts and automatically map the resulting task representations into robot plans. However, it can be utilized for any application requiring hands and objects detection from RGB video.<br><br>The setup involved an RGB camera (Intel RealSense D435i) positioned in a top-down (bird's eye) view, with the image plane aligned parallel to the working plane.<br>To enable robust detection of the 3D pose of objects and hands, we employed a marker-based detection system. ArUco markers were attached to the back of the hand and strategically positioned on the objects, preserving natural movements during manipulation.<br>We involved 10 participants, comprising 5 males and 5 females with an average age of 28.4 +/- 2.4 years. Among them, 8 were right-handed and 2 were left-handed. We asked subjects to perform both unimanual and bimanual activities, for a total of 400 recordings, in two different contexts (kitchen and workshop).</p> <p>The whole experimental procedure was carried out in accordance with the Declaration of Helsinki and the protocol was approved by the ethics committee azienda sanitaria locale (ASL) Genovese N.3 (Protocol IIT_HRII_ERGOLEAN 156/2020).</p>
Dataset for the paper "EXPANDING SMALLHOLDER IRRIGATION IN CENTRAL KENYA DEMONSTRATES THE IMPORTANCE OF PROTECTING GRASSLAND LANDSCAPES"
<p>This dataset contains the labels created for the cropland mapping task.</p> <p>2912 labels (polygons) are created using the June 2022 satellite imagery extracted from the <a title="Norway's International Climate and Forests Initiative (NICFI)" href="https://www.planet.com/nicfi/#:~:text=Through%20Norway%E2%80%99s%20International%20Climate%20&%20Forests%20Initiative%20(NICFI)," target="_blank" rel="noopener">Norway's International Climate and Forests Initiative (NICFI)</a> Satellite Data Program and accessible using Planet's API.</p> <p>The dataset is a geojson file with the following fields:</p> <p> </p> <ol> <li>quad: This column references a specific quadrant or tile. Each quadrant is identified by a unique code, such as "L15-1238E-1025N", provided by Planet.</li> <li>land_type: This column indicates the type of land use for the polygon area. There are two main categories of agriculture ("Smallholder agriculture" and "Largeholder agriculture") and a category for "Other vegetation". In the paper "Smallholder agriculture" and "Largeholder agriculture" are merged into a single label "cropland" while "Other vegetation" is considered "non-cropland."</li> <li>geometry: This column contains the geometrical data defining each polygon in the form of a list of vertex coordinates. For example, [ [ 37.79092, 0.19152 ], [ 37.791563, 0.190876 ], [ 37.790544, 0.190152 ], [ 37.7899, 0.190823 ], ….] defines a polygon through a sequence of longitude and latitude pairs, which enclose a specific area of land.</li> </ol>
Companion data artifacts: Technical framework demonstration for deep learning-based wood species classification with advanced sub-μ-CT imaging
<p>This is the companion data artifact collection for the IWAWA paper manuscript by Jannik Stebani, Tim Lewandrowski, Kilian Dremel, Simon Zabler and Volker Haag.It is generally to be used with the visualization and prediction showcases implemented in the Binder notebooks launched from this <a href="https://github.com/stebix/woodnet-showcase" target="_blank" rel="noopener">woodnet-showcase</a> GitHub repository.</p> <p>The artifacts amount to the following:</p> <ol> <li><code>acer-artifact.hdf5</code> : Exemplary <code>(256, 256, 256)</code> subvolume from a <em>Acer pseudoplatanus</em> sub-μ-CT scan</li> <li><code>pinus-artifact.hdf5</code> : Exemplary <code>(256, 256, 256)</code> subvolume from a <em>Pinus sylvestris </em>sub-μ-CT scan</li> <li><code>weights-artifact.pth</code> : Exemplary PyTorch trained weights for a woodnet/deep neural network to demonstrate classification of the above samples</li> </ol>
UF & UAB's Phase I Demonstration Study: Older Driver Experiences with Autonomous Vehicle Technology (Project D2)
<p>Enclosed you will find the data collected during our STRIDE Phase I research project (D2) and a data dictionary.</p>
Text-fig. 1. Schematic drawing, demonstrating the basic endoskeletal elements of the craniate head. Sclerotomic derivatives red and pharyngoqualar derivatives yellow. b: basal pharyngoqualar segment; c: ceratal pharyngoqualar segment; ct: cartilago teniformis (blue); e: epal pharyngoqualar segment; gr: gill rays; h: hypal pharyngoqualar segment; la: lower arcual element; lt: laterotectal element; mt: mediotectal element; n: notochord (green); s: summital pharyngoqualar segment; t: telical pharyngoqualar segment; ua: upper arcual element. in Cartilago Teniformis And Its Derivatives: Additional Information On The Basic Composition And Evolution Of The Skull
Text-fig. 1. Schematic drawing, demonstrating the basic endoskeletal elements of the craniate head. Sclerotomic derivatives red and pharyngoqualar derivatives yellow. b: basal pharyngoqualar segment; c: ceratal pharyngoqualar segment; ct: cartilago teniformis (blue); e: epal pharyngoqualar segment; gr: gill rays; h: hypal pharyngoqualar segment; la: lower arcual element; lt: laterotectal element; mt: mediotectal element; n: notochord (green); s: summital pharyngoqualar segment; t: telical pharyngoqualar segment; ua: upper arcual element.
Sample Dataset for an Interactive Demonstration of Eidein
<p>The "dataset.hdf5" HDF5 file contains a sample of astronomical spectra for an interactive demonstration of Eidein. Eidein is an interactive visualisation tool for Bayesian active deep learning. The demonstration is available online at <a href="https://bit.ly/eidein">bit.ly/eidein</a>.</p> <p>The sample consists of 2048 spectra from the Sloan Digital Sky Survey (SDSS) superset of catalogue of quasars (<a href="https://www.sdss.org/dr16/algorithms/qso_catalog/">https://www.sdss.org/dr16/algorithms/qso_catalog/</a>). The spectra are normalised to pseudo-continuum (each continuum is subtracted from a corresponding spectrum).</p>
Ontology files in .owl, rdf and xml format demonstrating the texts, documents and works (=entities) ontology
<p>See various writings by Robinson concerning this ontology (e.g. , <a href="https://wiki.usask.ca/pages/viewpage.action?pageId=1324745355">Creating and Implementing an Ontology of Documents and Texts (ADHO 2018)</a>.</p> <p>Note revision of 10/21: removal of parts of document, work, text. dc:hasPart and dc:isPartOf make this redundant.</p>
Atom probe tomography nomad-FAIR demonstrator dataset R76-30057-v01.epos.apth5
<p>This is the dataset of an atom probe tomography experiment which is provided open source for testing the possibility of implementing an open source encyclopedia for experimental materials science datasets, including techniques to begin with such as Scanning Transmission Electron Microscopy (STEM), Multidimensional Photo Emission Spectroscopy (MPES), and Atom Probe Tomography (APT) / Field Ion Microscopy (FIM).</p> <p><strong>This repository serves three aims:</strong></p> <p>1. The dataset is of scientific interest. Specifically, it captures the result of a cutting-edge APT experiment whose details are going to be reported in an upcoming publication by Shyam Katnagallu and coworkers.</p> <p>2. The dataset contributes to tests of an extension to "The NOMAD Laboratory" (https://nomad-coe.eu/): nomad-FAIR. Specifically, to test various aspects of an automatized metadata parsing and processing pipeline to enable the extraction of domain-specific JSON metadata files into a NOMAD-conformant JSON file, ultimately aiming for searchable and repurposable dataset documentation. This serves two purposes: on the one hand to contextualize each dataset within NOMAD. On the other hand to serve as a starting point to parse potential interesting content from the heavy data HDF5 file to reduce unnecessary file access.<br> The implementation of nomad-FAIR is coordinated by Markus Scheidgen.<br> The APT domain-specific parser is developed by Markus Kühbach.</p> <p>3. The dataset constitutes further a test of an open format specification for storing atom probe tomography data using the Hierarchical Data Format (HDF5). This is a recent initiative of the International Field Emission Society's (IFES) atom probe tomography technical committee. In this repository it is detailed an exemplar proposal of how to store acquisition-side relevant results and context of an APT experiment into a HDF5 file and complementary metadata files such as JSON. Implementation of this HDF5-based storage solution for APT data is lead by Markus Kühbach.</p> <p><strong>The organization of this repository with respect to above aims is as follows:</strong></p> <p>-The original EPOS file of the measured is contained in the compressed *.epos.tar.gz archive.</p> <p>-The *.apth5 file is a transcoded version of the EPOS file. Therein, x,y,z data columns are stripped.</p> <p>-The correspondingly named *.json file is the file which nomad-FAIR parses metadata from.</p> <p>-Other files constitute logs of the transcoding process.</p> <p><br> <strong>Funding:</strong><br> The work was partially supported by BiGmax, the Max Planck Society's Research Network on Big-Data-Driven Materials-Science.</p>
Atom probe tomography nomad-FAIR demonstrator dataset R76-31053-v01.epos.apth5
<p>This is the dataset of an atom probe tomography experiment which is provided open source for testing the possibility of implementing an open source encyclopedia for experimental materials science datasets, including techniques to begin with such as Scanning Transmission Electron Microscopy (STEM), Multidimensional Photo Emission Spectroscopy (MPES), and Atom Probe Tomography (APT) / Field Ion Microscopy (FIM).</p> <p><strong>This repository serves three aims:</strong></p> <p>1. The dataset is of scientific interest. Specifically, it captures the result of a cutting-edge APT experiment detailed in an upcoming paper by Ye Wei and coworkers.</p> <p>2. The dataset contributes to testing an extension of "The NOMAD Laboratory" (https://nomad-coe.eu/): nomad-FAIR. Specifically, to test various aspects of its automatized metadata parsing and processing pipeline to enable the extraction of domain-specific JSON metadata files into a NOMAD-conformant JSON file, ultimately aiming for searchable and repurposable dataset documentation. This serves two purposes: on the one hand to contextualize each dataset within NOMAD. On the other hand to serve as a starting point to parse potential interesting content from the heavy data HDF5 file to reduce unnecessary file access.<br> The implementation of nomad-FAIR is coordinated by Markus Scheidgen.<br> The APT domain-specific parser is developed by Markus Kühbach.</p> <p>2. The dataset constitutes further a test of an open format specification for storing atom probe tomography data using the Hierarchical Data Format (HDF5). This is a recent initiative of the International Field Emission Society's (IFES) atom probe tomography technical committee. In this repository it is detailed an exemplar proposal of how to store acquisition-side relevant results and context of an APT experiment into a HDF5 file and complementary metadata files such as JSON. Implementation of this HDF5-based storage solution for APT data is lead by Markus Kühbach.</p> <p><br> <strong>The organization of this repository with respect to above aims is as follows:</strong></p> <p>-The original EPOS file of the measured is contained in the compressed *.epos.tar.gz archive.</p> <p>-The *.apth5 file is a transcoded version of the EPOS file. Therein, x,y,z data columns are stripped.</p> <p>-The correspondingly named *.json file is the file which nomad-FAIR parses metadata from.</p> <p>-Other files constitute logs of the transcoding process.</p> <p><br> <strong>Funding:</strong><br> The work was partially supported by BiGmax, the Max Planck Society's Research Network on Big-Data-Driven Materials-Science.</p>
Pollen Images for OLEAtool Manual Measurements Demonstration
<p>This dataset includes the following:</p> <p>Images [JPEG format] of <em>Olea</em> pollen (<em>Olea europaea</em> L.) used to collect Polar axis diameter (P) and Equatorial axis diameter (E) measurements using the Manual Measurements Module in OLEAtool (https://doi.org/10.5281/zenodo.7046771).</p> <p>Measurements (P and E metrics) collected from the included images using OLEAtool Manual Measurements Module [XLXS format].</p>
Data for: Frond orientations with independent current indicators demonstrate the reclining rheotropic mode of life of several Ediacaran rangeomorph taxa
<p>Fossils from the deep-sea Ediacaran biotas of Newfoundland are among the oldest architecturally complex soft-bodied macroorganisms on Earth. Most organisms in the Mistaken Point-type biotas of Avalonia — particularly the fractal-branching frondose Rangeomorpha — have been traditionally interpreted as living erect within the water column during life. However, due to the scarcity of documented physical sedimentological proxies associated with fossiliferous beds, Ediacaran paleocurrents have been inferred in some instances from the preferential orientation of fronds. This calls into question the relationship between frond orientation and paleocurrents. In this study, we present an integrated approach from a newly described fossiliferous surface (the "Melrose Surface" in the Fermeuse Formation at Melrose, on the southern portion of the Catalina Dome in the Discovery UNESCO Global Geopark) combining: (1) physical sedimentological evidence for paleocurrent direction in the form of climbing ripple cross lamination, and (2) a series of statistical analyses based on modified polythetic and monothetic clustering techniques reflecting the circular nature of the recorded orientation of <em>Fractofusus</em> <em>misrai</em> specimens. This study demonstrates the reclining rheotropic mode of life of the Ediacaran rangeomorph taxon <em>Fractofusus</em> <em>misrai</em> and presents preliminary inferences suggesting a similar mode of life for <em>Bradgatia</em> sp. and <em>Pectinifrons</em> <em>abyssalis</em> based on qualitative evidence. These results advocate for the consideration of an alternative conceptual hypothesis for the position of life of Ediacaran organisms in which they are interpreted as having lived reclined on the seafloor, in the position that they are preserved.</p>
G-Code associated to the trajectories of the brush in ApPEARS deliverable D5.1 Database of vector based brush strokes and sample prints that demonstrate the range of printed materials
<p>This is appendix for the ApPEARS Deliverable: D5.1 – Database of vector based brush strokes and sample prints that demonstrate the range of printed materials. It contains G-Code Paths associated to the trajectories of the brush.</p>
Images of the data brushes generated for the ApPEARS deliverable D5.1 Database of vector based brush strokes and sample prints that demonstrate the range of printed materials
<p>These images are appendices of ApPEARS deliverable D5.1 Database of vector based brush strokes and sample prints that demonstrate the range of printed materials. They show the generated data brushes.</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.