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Dataset results
284 results for “telescope”
Australia Telescope Compact Array AKARI Deep Field South 20-cm Source Catalog
The results of a deep radio survey at a wavelength of 20 cm are reported for a region containing the AKARI Deep Field South (ADF-S) near the South Ecliptic Pole (SEP), using the Australia Telescope Compact Array (ATCA). The survey (hereafter referred to as the ATCA-ADFS survey) has 1-sigma detection limits ranging from 18.7 to 50 microJansky per beam (µJy/beam, over an area of ~1.1 deg<sup>2</sup>, and ~2.5 deg<sup>2</sup> to lower sensitivity. The observations, data reduction and source count analysis are presented in the paper, along with a description of the overall scientific objectives, and a catalog containing 530 radio sources detected with a resolution of 6.2 x 4.9 arcseconds (contained herein). The AKARI Deep Field South survey was primarily made in the far-infrared at wavelengths of 65, 90, 140, 160 micron (µm) over a 12 deg<sup>2</sup> area with the AKARI Far-Infrared Surveyor (FIS) instrument, with shallower mid-infrared coverage at 9 and 18 um using the AKARI Infrared Camera (IRC) instrument. In addition to the wide survey, deeper mid-infrared pointed observations, using the IRC, covering ~0.8 deg<sup>2</sup> and reaching 5-sigma sensitivities of 16, 16, 74, 132, 280 and 580 uJy at 3.2, 4.6, 7, 11, 15 and 24 um, respectively, were also carried out. The radio observations were collected over a 13 day period in 2007 July using the ATCA operated at 1.344 and 1.432 GHz. The total integration time for the 2007 observations was 120 hours. The 2007 data were augmented with a further deep observation made in 2008 December over five nights towards a single pointing position at the ADF-S, which lay just off center of the larger ATCA-ADFS field reported here. This added a further 50 h of integration time. The data were processed in exactly the same way as that from the 2007 observing sessions. Note that in the terminology of the authors, a radio component is described as a region of radio emission represented by a Gaussian shaped object in the map. Close radio doubles are represented by two Gaussians and are deemed to consist of two components, which make up a single source. A selection of radio sources with multiple components is shown in Fig. 3 of the reference paper. This table was created by the HEASARC in November 2013 based on <a href="https://cdsarc.cds.unistra.fr/ftp/cats/J/MNRAS/427/1830">CDS Catalog J/MNRAS/427/1830</a> file table2.dat. This is a service provided by NASA HEASARC .
PSP Integrated Science Investigation of the Sun, Energetic Particle Instrument-Hi (ISOIS EPI-Hi) High Energy Telescope (HET) Rates, Level 2 (L2), 5 min Data
Parker Solar Probe, PSP, Integrated Science Investigation of the Sun, IS☉IS, Energetic Particle Instrument, EPI-Hi, High Energy Telescope, HET, Rates: The Epoch time tags indicate midpoint of integration. For information concerning use of the IS☉IS data please refer to the Energetic Particle Data User Guide available from the PSP IS☉IS Science Operations Center, SOC, web site hosted by the University of New Hampshire. The energetic particle pitch angle calculations are made possible via use of magnetic field data provided by the PSP FIELDS team.The public data reflect current instrument calibration as determined by the IS☉IS science team. Calibration efforts are ongoing and the public data will be updated over the course of the mission based on improved understanding of instrument response to the near-Sun energetic particle environment. IS☉IS visualization tools are provided as a quicklook utility for the community to better access the IS☉IS data and are also under continual development. While we make every effort to ensure their accuracy, the IS☉IS team cannot guarantee that they are error-free. For questions regarding the use of IS☉IS data, please contact Colin Joyce (cjjoyce@princeton.edu).Refer to the following web site concerning the Rules of use for the IS☉IS energetic particle data: https://spp-isois.sr.unh.edu/ISOIS_Terms_of_Use.html.The PSP IS☉IS effort is funded as part of the NASA Parker Solar Probe mission under contract NNN06AA01C. Use of any PSP IS☉IS data in publications or presentations should include the following text for acknowledgement and also cite the PSP IS☉IS instrument suite publication:Acknowledgement: Thanks to the Integrated Science Investigation of the Sun (IS☉IS) Science Team (PI: D. J. McComas, Princeton University).Citation: McComas, D. J. (2020). PSP Integrated Science Investigation of the Sun, Energetic Particle Instrument-Hi (ISOIS EPI-Hi) High Energy Telescope (HET) Rates, Level 2 (L2), 5 min Data [Data set]. NASA Space Physics Data Facility.
Australia Telescope Low-Brightness Survey Source Catalog
The Australia Telescope Low-brightness Survey (ATLBS) regions have been mosaic imaged at a radio frequency of 1.4 GHz with 6 arcseconds angular resolution and 72 microJansky per beam (µJy/beam) rms noise. The images (centered at RA 00<sup>h</sup> 35<sup>m</sup> 00<sup>s</sup>, Dec -67<sup>o</sup> 00' 00" and RA 00<sup>h</sup> 59<sup>m</sup> 17<sup>s</sup>, Dec -67<sup>o</sup> 00' 00", J2000 epoch) cover 8.42 deg<sup>2</sup> sky area and have no artifacts or imaging errors above the image thermal noise. Multi-resolution radio and optical r-band images (made using the 4 m CTIO Blanco telescope) were used to recognize multi-component sources and prepare a source list of 1366 1.4-GHZ sources; the detection threshold was 0.38 mJy in a low-resolution radio image made with beam FWHM of 50 arcseconds. Radio source counts in the flux density range 0.4-8.7 mJy are estimated, with corrections applied for noise bias, effective area correction, and resolution bias. The resolution bias is mitigated using low-resolution radio images, while effects of source confusion are removed by using high-resolution images for identifying blended sources. Below 1 mJy the ATLBS counts are systematically lower than the previous estimates. Showing no evidence for an upturn down to 0.4 mJy, they do not require any changes in the radio source population down to the limit of the survey. The work suggests that automated image analysis for counts may be dependent on the ability of the imaging to reproduce connecting emission with low surface brightness and on the ability of the algorithm to recognize sources, which may require that source finding algorithms effectively work with multi-resolution and multi-wavelength data. The work underscores the importance of using source lists - as opposed to component lists - and correcting for the noise bias in order to precisely estimate counts close to the image noise and determine the upturn at sub-mJy flux density. This table was created by the HEASARC in April 2013 based on an electronic version of Table 2 from the reference paper that was obtained from the ApJ web site.. This is a service provided by NASA HEASARC .
STEREO-A Carrington Maps for the SECCHI EUVI Telescope
Synoptic (or Carrington) Maps comprise an efficient method to summarize both short term and long term coronal evolution. This resource contains East and West limb maps from the Cor1 and Cor2 coronagraphs, East(West) limb maps for HI1/2-A (HI1/2-B) imagers, and central meridian maps from the EUVI telescope. Maps are available for each Carrington Rotation since the beginning of the STEREO mission. The maps demonstrate the evolution of the corona from a relatively simple, two-sectored structure to an increasingly complex multi-sectored structure. Distortions and discontinuities in the streamer belt visible in the limb maps are associated with active regions on the sun, the shape of the current sheet, and coronal mass ejections. Meridian maps for EUVI illustrate the corresponding structures and long-term changes in the lower atmosphere.
Giant Metrewave Radio Telescope Lockman Hole 610-MHz Radio Source Catalog 3
In the run-up to routine observations with the upcoming generation of radio facilities, the nature of the sub-mJy radio population has been hotly debated. In this paper, the authors describe multi-frequency data designed to probe the emission mechanism that dominates in these faint radio sources. Their analysis is based on observations of the Lockman Hole (LH) using the Giant Metrewave Radio Telescope (GMRT) near Pune, India - the deepest 610-MHz imaging yet reported - together with 1.4-GHz imaging from the Very Large Array (VLA), which are well matched in resolution and sensitivity to the GMRT data: sigma<sub>610MHz</sub> ~ 15 µJy/beam (µJy/beam), sigma}<sub>1.4GHz</sub> ~ 6 µJy/beam, and full width at half-maximum (FWHM) ~ 5 arcseconds. The GMRT and VLA data are cross-matched to obtain the radio spectral indices for the faint radio emitters. During six 12-hr sessions in 2006 February and July, the authors obtained data at 610 MHz for three pointings (FWHM ~ 43 arcminutes) in the LH (see Table 1 of the reference paper for full details), separated by 11 arcminutes (the LOCKMAN-E, LOCK-3 and LHEX-4 fields), typically with 28 of the 30 antennas that comprise the GMRT. The total integration time in each field, after overheads, was 16 hr. The final image had a noise level in the central 100 arcmin<sup>2</sup> of 14.7 µJy/beam, the deepest map reported at 610 MHz as of the date of publication, despite the modest integration time. New and archival data were obtained at the same three positions using the National Radio Astronomy Observatory's VLA, largely in its B configuration. This table contains 1585 sources found in the LH field at 610 MHz by the GMRT. For 19 of the sources which have multiple components, the 34 individual components are listed as well. Thus, the final table contains 1619 (1585 + 34) entries. Source extraction was based on criteria of peak brightness > 5 times the local rms and integrated flux density > 3 times the local rms. This table was created by the HEASARC in February 2012 based on <a href="https://cdsarc.cds.unistra.fr/ftp/cats/J/MNRAS/397/281">CDS Catalog J/MNRAS/397/281</a> file table3.dat. This is a service provided by NASA HEASARC .
Solar and meteorological data collected from the Mauritius Radio Telescope station (Mauritius) by the ENERGY-lab in the University of La Reunion between 2015-11-05 and 2020-01-08
<p>Scientific data provided by ENERGY-lab located at the University of La Reunion. These data come from solar and meteorological stations present on the following territories: La Reunion, Comoros, Madagascar, Mauritius and Seychelles. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimization of solar intelligent energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p> </p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p> </p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable on all stores.</p> <p> </p> <p><strong><em>ENERGY-lab data may be re-used, provided that related metadata explaining the data have been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
NASA 3D Models: Hubble Space Telescope
Hubble Space Telescope (HST).
PIONEER 11 JUPITER GEIGER TUBE TELESCOPE HIGH-RES DATA V1.0
Pioneer 11 geiger tube telescope data.
Groundbased Observations at the NASA Infrared Telescope Facility (IRTF)
This bundle collects data taken at IRTF and associated document files.
InfraRed Telescope Facility Io Photometry Bundle
IRTF Photometry of Io
PIONEER 11 SATURN GEIGER TUBE TELESCOPE HIGH-RES DATA V1.0
Pioneer 11 geiger tube telescope data.
PIONEER 10 JUPITER GEIGER TUBE TELESCOPE HIGH-RES DATA V1.0
Pioneer 10 geiger tube telescope data.
NASA 3D Models: Hubble Space Telescope
Hubble Space Telescope (HST). Polygons: 7672 Vertices: 5122
ULY JUP COSPIN HIGH ENERGY TELESCOPE HIGH RES. PARTICLE FLUX
ULY JUP COSPIN HIGH ENERGY TELESCOPE HIGH RES. PARTICLE FLUX
Time series from "Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field"
<p>Time Series used in the evaluation of "Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field"</p>
Data about seeing at Ondrejov 2m telescope
Open the record for dataset details and reuse information.
Dataset for offline training of a self-driving telescope with Reinforcement Learning
<p>Go to https://zenodo.org/doi/10.5281/zenodo.8388482 for the updated version!!</p> <p>The dataset was generated through simulation and used during the offline training and the comparison of algorithms while targeting the self-driving telescope implementation with Deep Reinforcement Learning (RL).<br> </p>
Datasets for "Self-Driving Telescopes: Autonomous Scheduling of Astronomical Observation Campaigns with Reinforcement Learning"
<p>Go to https://zenodo.org/doi/10.5281/zenodo.8388482 for the updated version!!</p> <p> </p> <p>These datasets are the official data of the submission "Self-Driving Telescopes: Autonomous Scheduling of Astronomical Observation Campaigns with Reinforcement Learning", anonymous for the double-blind submission system.<br>A README.md file will contain all the information related to the datasets and a metadata.json file will contain their metadata according to the Schema.org format.</p>
STEREO-B Carrington Maps for the SECCHI Cor1 Telescope
Synoptic (or Carrington) Maps comprise an efficient method to summarize both short term and long term coronal evolution. This resource contains East and West limb maps from the Cor1 and Cor2 coronagraphs, East(West) limb maps for HI1/2-A (HI1/2-B) imagers, and central meridian maps from the EUVI telescope. Maps are available for each Carrington Rotation since the beginning of the STEREO mission. The maps demonstrate the evolution of the corona from a relatively simple, two-sectored structure to an increasingly complex multi-sectored structure. Distortions and discontinuities in the streamer belt visible in the limb maps are associated with active regions on the sun, the shape of the current sheet, and coronal mass ejections. Meridian maps for EUVI illustrate the corresponding structures and long-term changes in the lower atmosphere.
Wind Energetic Particle Acceleration Composition Transport (EPACT) SupraThermal Energetic Particle Telescope (STEP) Differential, Directional Hydrogen Fluxes, 10 min Data
The EPACT Instrument on Wind STEP - SupraThermal Energetic Particle Telescope measures Ion Fluxes of Protons (H) in 0.12.5 MeV Energy Range and He-Fe Nuclei in the ~0.032 MeV/nucleon Energy Ranges in two identical Telescopes, each with a Geometrical Factor of 0.4 cm^2 sr and a rectangular Field of View with an Angular Acceptance of 44° in Azimuth and 17° in Polar Angle.
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.