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1,506 results for “objects”
SDSS MOVING OBJECT CATALOG V2.0
The Sloan Digital Sky Survey (SDSS) Moving Object Catalog 3rd release lists astrometric and photometric data for moving objects detected in the SDSS. The catalog includes various identification parameters, SDSS astrometric measurements (five SDSS magnitudes and their errors), and orbital elements for previously cataloged asteroids. The data set also includes a list of the runs from which data are included, and filter response curves.
SMALL SOLAR SYSTEM OBJECTS SPECTROSCOPIC SURVEY V1.0
This dataset contains the visible spectra of 820 asteroids obtained between November 1996 and May 2001 at the 1.52m telescope at ESO (La Silla). The useful spectral range is between about 4900 and 9200 Angstroms. The global spatial distribution of the objects covers the region between 2.2 and 3.3 AU. Some concentrations are apparent, since part of the survey was focused on particuarly interesting groups or families of asteroids. The observed asteroids have been classified according to the Tholen and the Bus taxonomies, with a good agreement between both in most of the cases.
POLARIMETRY OF TRANSNEPTUNIAN OBJECTS AND CENTAURS V1.0
The dataset contains a summary of polarimetric observations of Transneptunian objects (including Pluto-Charon system) and Centaurs published by March 31, 2008.
Activity modeling under uncertainty by trace of objects in smart homes
A typical resident of a smart home can be an Alzheimer patient that forgets sometimes to complete the activities that he begins. The key point to assist the smart home resident is to model the activities and discover correct realization patterns of activities. To accomplish this task, we apply sensors to provide primary data about realization patterns of actions, operations, plans, goals and generally any objective that the smart home resident may desire to do. In the consequence, by applying fuzzy clustering techniques, we are able to mine sensor data to retrieve the realization patterns of activities, and so the prediction patterns of intentions are recognizable. Comparing the realization patterns with prediction patterns of activities, we would be able to predict the intention of the resident about the activity that the resident considers to realize. In this way, we would be able to provide hypotheses about the resident goals and his possible goal achievement’s defects. Spatiotemporal aspects of daily activities such as movement of objects are surveyed to discover the patterns of activities realized by the smart homes residents. In this research, uncertainty is considered as a property of activity recognition.
SDSS MOVING OBJECT CATALOG V1.0
The Sloan Digital Sky Survey (SDSS) Moving Object Catalog lists astrometric and photometric data for moving objects detected in the SDSS. The catalog includes various identification parameters, SDSS astrometric measurements (five SDSS magnitudes and their errors), and orbital elements for previously cataloged asteroids. The data set also includes a list of the runs from which data are included, and filter response curves.
TRANS-NEPTUNIAN OBJECT LIGHTCURVES V1.0
This data set is a collectin of published lightcurves of tran-Neptunian objects published through the given STOP TIME. It is updated annually.
POLARIMETRY OF TRANSNEPTUNIAN OBJECTS AND CENTAURS V3.0
The dataset contains a summary of polarimetric observations of Transneptunian objects (including Pluto-Charon system) and Centaurs published by March 19, 2013.
TRANS-NEPTUNIAN OBJECT LIGHTCURVES V1.1
This data set includes a collection of published lightcurves of trans-Neptunian objects published through December 2002. The collection includes lightcurves of 18 TNOs.
TRANS-NEPTUNIAN OBJECT PHOTOMETRY V3.0
This data set is a collection of all published colors of trans-Neptunian objects published through the indicated nstop date. This data set is updated annually.
POLARIMETRY OF TRANSNEPTUNIAN OBJECTS AND CENTAURS V2.0
The dataset contains a summary of polarimetric observations of Transneptunian objects (including Pluto-Charon system) and Centaurs published by February 8, 2011.
SK inventory [dataset] stone & related objects. Version 1.0 28/07/2020
<p>SK inventory [dataset] stone & related objects. Version 1.0 28/07/2020</p>
SK inventory [dataset] silver objects version 1.0 28/07/2020
<p>SK inventory [dataset] silver objects version 1.0 28/07/2020</p>
SK inventory [dataset] bronze objects version 1.0 2020-08-04
<p>SK inventory [dataset] bronze objects version 1.0 2020-08-04</p> <p>Zip file containing individual folders of all photographic records of bronze objects in the SK collection, numbered by record number with corresponding entries in draft catalogue text</p>
SK inventory [dataset] iron objects version 2.0 2020-08-04
<p>SK inventory [dataset] iron objects version 2.0 2020-08-04</p> <p>Zip file containing individual folders of all photographic records of iron objects in the SK collection, numbered by record number with corresponding entries in draft catalogue text</p>
SK inventory [dataset] gold objects version 2.0 2020-08-04
<p>SK inventory [dataset] gold objects version 2.0 2020-08-04</p> <p>Zip file containing individual folders of all photographic records of bronze objects in the SK collection, numbered by record number with corresponding entries in draft catalogue text</p>
SK inventory [dataset] ceramic objects. Version 1.0 2020-08-05
<p>SK inventory [dataset] ceramic objects. Version 1.0 2020-08-05</p> <p>Eight zip files containing individual folders of all photographic records of ceramic objects in the SK collection, numbered by record number, with corresponding entries in draft catalogue text</p>
SK inventory [dataset] stone & related objects. Version 3.0 2020-08-05
<p>SK inventory [dataset] stone & related objects. Version 3.0 2020-08-05 [items renumbered for proper sequence]</p> <p>Nine zip files containing individual folders of all photographic records of bronze objects in the SK collection, numbered by record number, with corresponding entries in draft catalogue text</p>
Dog visual perception of faces, objects and phase-scrambled images, measured with non-invasive electroencephalography
<p>This is the dataset used in the publication of Kujala MV, Kauppi J-P, Törnqvist H, Helle L, Vainio O, Kujala J, Parkkonen L (2020). Time-resolved classification of dog brain signals reveals early processing of faces, species and emotion. Scientific reports 10, 19846 (2020). https://doi.org/10.1038/s41598-020-76806-8.</p> <p>The dataset is electroencephalography data, measured non-invasively from the surface of the head from eight different dogs; and its supporting files. The data has been measured with 7-9 EEG electrodes; only the data from 7 EEG channels were used in the analysis. During the measurement, dogs were free to move; they were not restrained in any way. Instead, they were trained with positive operant conditioning to lie down and lean their head on a chin rest for short periods of time, during which they were shown still images from a computer screen. The stimuli were shown, in pseudo-randomized order, in eight different presentation scenarios, within 5 separate stimulus blocks per scenario, 15–20 stimuli per block. Between the stimulus blocks, dogs were always rewarded with a treat; this has caused major movement artifacts on the data between the stimulus blocks. Different presentation scenarios were shown in different days and repeated twice. Please refer to the above publication for further details of the experiment.</p> <p>The trigger is the same across all the stimuli; thus, separate scenario stimulus identifier lists were used in determining the stimulus order; please refer to the README.txt file and PresentationScenarios.xlsx files for further details.</p> <p>The dataset also contains anatomical magnetic resonance images of one dog, which was used in the aforementioned publication for source localization.</p> <p>If you have further questions regarding the data or the acquisition, please do not hesitate to contact the authors of the original publication.</p>
Psychological Well-Being in Obstructive Sleep Apnea Syndrome Associated With Obesity: The Relationship With Personality, Cognitive Functioning, and Subjective and Objective Sleep Quality
<p>This dataset is related to the following article:</p> <p>Scarpina F, Bastoni I, Cappelli S, Priano L, Giacomotti E, Castelnuovo G, Molinari E, Tovaglieri IMA, Cornacchia M, Fanari P, Mauro A. Psychological Well-Being in Obstructive Sleep Apnea Syndrome Associated With Obesity: The Relationship With Personality, Cognitive Functioning, and Subjective and Objective Sleep Quality. Front Psychol. 2021 Feb 19;12:588767. doi: 10.3389/fpsyg.2021.588767. PMID: 33679512; PMCID: PMC7933550.</p>
A multi-objective Bayesian optimization framework for the synthesis of methanol from syngas using interpretable Gaussian process models
<p>The data sets are synthesized with two reactors (1) Recycle reactor (2) Once through reactor. These reactors have a typical fixed bed of catalysts. The inlet parameter values are varied, and output parameter readings are recorded.</p> <p> </p>
ScienceDex guides
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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.