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ShareScore release 0.9.0
Dataset results
9 results for “Object Space”
VCM Dataset for the Classification of Resident Space Objects
<p>The Vector Covariance Message (VCM) data comprise 22,303 RSOs over a period of six months (9/1/2022-2/28/2023). VCM data consist of Resident Space Objects (RSOs) ephemerides from a high-precision special perturbations orbit propagator and estimator using tracking observations. VCMs are issued by the US Space Force (USSF) Space Command (USSPACECOM) and were provided through an Orbital Data Request (ODR) the authors submitted to the 18th Space Defense Squadron (18th SDS). </p> <p>The dataset is organized into subfolders, each containing VCMs for a specific satellite. Filenames correspond to the satellite's NORAD ID (North American Aerospace Defense Catalog Number). A readme file provides details about the VCM content and format. Note that the full covariance matrix has been excluded for public release, whereas the standard deviation of error in satellite's position and velocity is provided.</p> <p>The VCM data have been used in the following work, "Early Classification of Space Objects based on Astrometric Time Series Data", presented at the 25th Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS) in Maui, Hawaii, United States.</p>
Cortical topographic motifs emerge in a self-organized map of object space
<p>The human ventral visual stream has a highly systematic organization of object information, but the causal pressures driving these topographic motifs are highly debated. Here, we use self-organizing principles to learn a topographic representation of the data manifold of a deep neural network representational space. We find that a smooth mapping of this representational space showed many brain-like motifs, with large-scale organization by animacy and real-world object size, supported by mid-level feature tuning, with naturally emerging face- and scene-selective regions. While some theories of the object-selective cortex posit that these differently tuned regions of the brain reflect a collection of distinctly specified functional modules, the present work provides computational support for an alternate hypothesis that the tuning and topography of the object-selective cortex reflects a smooth mapping of a unified representational space.</p>
Cortical topographic motifs emerge in a self-organized map of object space
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Event-driven Proto-object based saliency in 3D space to attract a robot's attention - Supplementary Video
<p>To interact with its environment, a robot working in 3D space needs to organise its visual input in terms of objects or their<br> perceptual precursors, proto-objects. Among other visual cues, depth is a submodality used to direct attention to visual features<br> and objects. Current depth-based proto-object attention models have been implemented for standard RGB-D cameras that<br> produce synchronous frames. In contrast, event cameras are neuromorphic sensors that loosely mimic the function of the<br> human retina by asynchronously encoding per-pixel brightness changes at very high temporal resolution, thereby providing<br> advantages like high dynamic range, efficiency (thanks to their high degree of signal compression), and low latency. We<br> propose a bio-inspired bottom-up attention model that exploits event-driven sensing to generate depth-based saliency maps<br> that allow a robot to interact with complex visual input. We use event-cameras mounted in the eyes of the iCub humanoid robot<br> to directly extract edge, disparity and motion information. Real-world experiments demonstrate that our system robustly selects<br> salient objects near the robot in the presence of clutter and dynamic scene changes, for the benefit of downstream applications<br> like object segmentation, tracking and robot interaction with external objects.</p>
Dataset for publication: 'Search Space Representation and Reduction Methods to Enhance Multi-Objective Water Supply Monitoring Design'
<p>This is the dataset the publication "Search Space Representation and Reduction Methods to Enhance Multi-Objective Water Supply Monitoring Design" is based on.</p>
Data from: Do pet dogs (Canis familiaris) follow ostensive and non-ostensive human gaze to distant space and to objects?
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Interaction of object ownership and peripersonal Space on inhibition
<p>Dataset used for data analyses</p>
Near-Earth Object Human Space Flight Accessible Targets Study (NHATS)
This list of potential mission targets should not be interpreted as a complete list of viable NEAs for an actual human exploration mission. As the NEA orbits are updated, the viable mission targets and their mission parameters will change. To select an actual target and mission scenario, additional constraints must be applied including astronaut health and safety considerations, human space flight architecture elements, their performances and readiness, the physical nature of the target NEA and mission schedule constraints.
The impact of deep space radiation on cognitive performance: From biological sex to biomarkers to countermeasures (Elevated Plus Maze, Novel Object Recognition, Open Field, Radial Arm Water Maze, and Three Chamber Social Isolation/Interaction)
In the coming decade, astronauts will travel back to the moon in preparation for future Mars missions. Exposure to galactic cosmic radiation (GCR) is a major obstacle for deep space travel. Using multivariate principal components analysis, we found sex dimorphic responses in mice exposed to accelerated charged particles to simulate GCR (GCRsim); males displayed impaired spatial learning, whereas females did not. Mechanistically, these GCRsim induced learning impairments corresponded with chronic microglia activation and synaptic alterations in the hippocampus. Temporary microglia depletion shortly after GCRsim exposure mitigated GCRsim induced deficits measured months after the radiation exposure. Furthermore, blood monocyte levels measured early after GCRsim exposure were predictive of the late learning deficits and microglia activation measured in the male mice. Our findings (i) advance our understanding of charged particle induced cognitive challenges, (ii) provide evidence for early peripheral biomarkers for identifying late cognitive deficits, and (iii) offer potential therapeutic strategies for mitigating GCR induced cognitive loss. This study derives results from the behavior assays Elevated Plus Maze, Novel Object Recognition, Open Field, Radial Arm Water Maze, and Three Chamber Social Isolation/Interaction. These data are related to the Flow Cytometry data in OSD-776 (blood), OSD-777 (Microglia), and OSD-778 (Synapse).
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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.
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.