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284 results for “telescope”
Chang'e 5 RF recording at 8463.7 MHz with Allen Telescope Array during LOI-2
<p>This dataset contains a recording of X-band telemetry signals from the Chinese lunar sample retrieve mission Chang'e 5 done on 2020-11-29 before and during the LOI-2 (lunar orbit injection 2) manoeuvre that circularized the spacecraft's elliptical lunar orbit. The recording was done at Allen Telescope Array using antenna 1h in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: antennas 1h was connected to RFCB LO d, which was tuned to a frequency of 8475 MHz and used an output IF of 512 MHz. A USRP N321 was connected to the IF output of the RFCB and digitized both polarizations. The USRP used external 10 MHz reference and PPS coming from the observatory distribution system. The IQ sample rate of the USRP was 30.72 Msps and a GNU Radio flowgraph was used to channelize four frequencies from the spacecraft (8463.7, 8471.2, 8478.6 and 8486.2 MHz), using an IQ sample rate of 240 ksps for each channel.</p> <p>The GNU Radio flowgraph stored the IQ data for each channel as 32-bit floats in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers. After recording, the data was converted to <a href="https://github.com/gnuradio/SigMF">SigMF</a> format.</p> <p>This dataset contains the IQ data for the channel at 8463.7 MHz, which corresponds to the lander, in SigMF format. Each polarization is in a different file. The original metadata headers are also provided.</p> <p><strong>Note:</strong> during the observation, the frequency of the RFCB LO was lowered by exactly 30 kHz in two occasions to prevent the signals from drifting out of the channel passband due to Doppler. The two LO jumps can be easily seen in the residual carrier of the signals and corrected.</p>
Stellar specific intensity models used in "Hiding in plain sight: observing planet-starspot crossings with the James Webb Space Telescope"
<p>These stellar specific intensity models were used in the paper "Hiding in plain sight: observing planet-starspot crossings with the James Webb Space Telescope" to simulate starspot contrast spectra. See more details in the README file contained in the folder.</p>
Recording of JUICE with the Allen Telescope Array on 2023-04-15 (antenna 5c)
<p>This dataset contains an IQ recording of the X-band 8436 MHz telemetry signal from JUICE (Jupiter Icy Moons Explorer). The recording was done on 2023-04-15, the day after launch. Antennas 1a and 5c from the Allen Telescope Array were used in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: the antenna was connected to RFCB LO d, which was tuned to a frequency of 8436 MHz and used an output IF of 512 MHz. A USRP N321 and USRP N320 were connected to the IF output of the RFCB. The N321 digitized both polarizations of antenna 1a, and the N320 digitized both polarizations antenna 5c. The USRPs used an external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among the four channels. The IQ sample rate of the USRP was 6.144 Msps and a GNU Radio flowgraph was used to record IQ data to disk. The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers.</p> <p>After recording, the data was postprocessed to synthesize the signal polarization (which is expected to be RHCP) by finding and correcting the amplitude and phase offset between the X and Y channels, and adding coherently both channels. The data was downsampled to 2.048 Msps and converted to 8-bit to reduce the size of the dataset. Finally, the dataset was formatted using <a href="https://github.com/gnuradio/SigMF">SigMF</a>.</p> <p>This dataset contains the recording for antenna 5c. The recording for antenna 1a can be found <a href="https://zenodo.org/record/7856893">here</a>.</p>
Recording of JUICE with the Allen Telescope Array on 2023-04-15 (antenna 1a)
<p>This dataset contains an IQ recording of the X-band 8436 MHz telemetry signal from JUICE (Jupiter Icy Moons Explorer). The recording was done on 2023-04-15, the day after launch. Antennas 1a and 5c from the Allen Telescope Array were used in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: the antenna was connected to RFCB LO d, which was tuned to a frequency of 8436 MHz and used an output IF of 512 MHz. A USRP N321 and USRP N320 were connected to the IF output of the RFCB. The N321 digitized both polarizations of antenna 1a, and the N320 digitized both polarizations antenna 5c. The USRPs used an external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among the four channels. The IQ sample rate of the USRP was 6.144 Msps and a GNU Radio flowgraph was used to record IQ data to disk. The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers.</p> <p>After recording, the data was postprocessed to synthesize the signal polarization (which is expected to be RHCP) by finding and correcting the amplitude and phase offset between the X and Y channels, and adding coherently both channels. The data was downsampled to 2.048 Msps and converted to 8-bit to reduce the size of the dataset. Finally, the dataset was formatted using <a href="https://github.com/gnuradio/SigMF">SigMF</a>.</p> <p>This dataset contains the recording for antenna 1a. The recording for antenna 5c can be found <a href="https://zenodo.org/record/7856895">here</a>.</p>
Recording of Euclid with the Allen Telescope Array on 2023-07-02 (part 2/2)
<p>This dataset contains an IQ recording of the X-band 8455 MHz telemetry signal from ESA Euclid. The recording was done on 2023-07-02, the day after launch. Antenna 1a from the Allen Telescope Array was used in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: the antenna was connected to RFCB LO d, which was tuned to a frequency of 8455 MHz and used an output IF of 512 MHz. A USRP N321 digitized both polarizations. The USRP used an external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among the two channels. The IQ sample rate of the USRP was 4.096 Msps and a GNU Radio flowgraph was used to record IQ data to disk. The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers.</p> <p>After recording, the data was postprocessed to synthesize the signal polarization (which is expected to be RHCP) by finding and correcting the amplitude and phase offset between the X and Y channels, and adding coherently both channels. The data was downsampled to 2.048 Msps and converted to 8-bit to reduce the size of the dataset. The data was split in two parts of equal size. Finally, the dataset was formatted using <a href="https://github.com/gnuradio/SigMF">SigMF</a>.</p> <p>This dataset contains part 2. Part 1 can be found <a href="https://zenodo.org/record/8111163">here</a>.</p>
Recording of Euclid with the Allen Telescope Array on 2023-07-02 (part 1/2)
<p>This dataset contains an IQ recording of the X-band 8455 MHz telemetry signal from ESA Euclid. The recording was done on 2023-07-02, the day after launch. Antenna 1a from the Allen Telescope Array was used in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: the antenna was connected to RFCB LO d, which was tuned to a frequency of 8455 MHz and used an output IF of 512 MHz. A USRP N321 digitized both polarizations. The USRP used an external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among the two channels. The IQ sample rate of the USRP was 4.096 Msps and a GNU Radio flowgraph was used to record IQ data to disk. The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers.</p> <p>After recording, the data was postprocessed to synthesize the signal polarization (which is expected to be RHCP) by finding and correcting the amplitude and phase offset between the X and Y channels, and adding coherently both channels. The data was downsampled to 2.048 Msps and converted to 8-bit to reduce the size of the dataset. The data was split in two parts of equal size. Finally, the dataset was formatted using <a href="https://github.com/gnuradio/SigMF">SigMF</a>.</p> <p>This dataset contains part 1. Part 2 can be found <a href="https://zenodo.org/record/8111510">here</a>.</p>
DeepSpaceYoloDataset: an annotated set of smart telescopes images
<p>During the MILAN research project (MachIne Learning for AstroNomy), we have compiled a large collection of deep sky images during Electronically Assisted Astronomy sessions in Luxembourg, France, Belgium.</p> <p>We have used two instruments for several months (from March 2022 to September 2023): a Stellina smart telescope (https://vaonis.com/stellina) and a Vespera smart telescope (https://vaonis.com/vespera).<br> We have captured data for a representative set of deep sky objects from the Messier / NGC / IC / Sharpless2 / Barnard catalogues.<br> Different types of celestial objects were considered: emission/reflection/dark/planetary nebula, galaxies, globular/open clusters.<br> Images were obtained after the capture and the stacking of sub-frames of 10 seconds exposure time.<br> Training images were splitted into 608x608 patches.<br> Based on the YOLOv7 format, the dataset is a ZIP file containing 4696 RGB images, and the corresponding 4696 labels text files with the positions of deep sky objets in the images. </p> <p>This research was funded by the Luxembourg National Research Fund (FNR), grant reference 15872557.</p> <p>More information about the MILAN project: https://www.fnr.lu/results-2021-1-bridges-call/.</p> <p>More information about VAONIS instruments: https://vaonis.com</p> <p>More information about Luxembourg of Science and Technology (LIST): https://www.list.lu</p> <p>Data license for files: Attribution-NonCommercial-NoDerivatives 4.0 International</p> <p><br> </p>
Refracting telescope.
Time and place of creation: 1st half of the 18th century, Venice, Italy Creator: Leonardo Semitecolo Inventory number: 4012; 10/V Museum: Jagiellonian University Museum Collegium Maius https://muzea.malopolska.pl/en/objects-list/2793 Digitalisation: Digitalisation: RDW MIC, Virtual Małopolska project Source: Objaverse 1.0 / Sketchfab
Study of WA-NG Telescope Prosthesis in Patients With End-stage Age-related Macular Degeneration
ClinicalTrials.gov study NCT01731964. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Polyoxymethylene (POM) in the Production of Telescopic Denture in Older Adults With Subtotal Edentulism
ClinicalTrials.gov study NCT06593925. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Study of WA-NG (NG-IMT) Telescope Prosthesis in Patients With End-stage Age-related Macular Degeneration
ClinicalTrials.gov study NCT04468373. IPD Sharing: Not stated. Countries: 2. Publications: 0.
TELEhealth Shared Decision-making COaching for Lung Cancer Screening in Primary Care (TELESCOPE) for Hispanics
ClinicalTrials.gov study NCT07165691. IPD Sharing: NO. Countries: 1. Publications: 0.
Retention of Telescopic Versus Locator Attachments
ClinicalTrials.gov study NCT06349525. IPD Sharing: NO. Countries: 1. Publications: 0.
Crestal Bone Loss in Mandibular Telescopic Overdentures. Overdenture with Milled Titanium, Milled Poly-ether Ketone Ketones and 3D Printed Chrome Cobalt Secondary Copings.
ClinicalTrials.gov study NCT06639893. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Telerehabilitation-Based Coaching Interventions (TeleSCoP) for Patients With Ischemic Stroke
ClinicalTrials.gov study NCT05940350. IPD Sharing: NO. Countries: 1. Publications: 0.
Post-Approval Study of the Implantable Miniature Telescope
ClinicalTrials.gov study NCT01757132. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Study of an Implantable Miniature Telescope in Patients With With End-Stage AMD
ClinicalTrials.gov study NCT00555165. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparing Cobalt-Chromium Versus PEEK Secondary Telescopic Crowns on Implant Retained Mandibular Overdenture.
ClinicalTrials.gov study NCT06637930. IPD Sharing: NO. Countries: 1. Publications: 0.
Rigid Telescopes, C-MAC, Flexible Bronchoscopy for Intubation in Patients With Anticipated Difficult Airways
ClinicalTrials.gov study NCT05187052. IPD Sharing: YES. Countries: 1. Publications: 0.
Retention of Three Different Types of Telescopic Attachments
ClinicalTrials.gov study NCT06632548. IPD Sharing: YES. Countries: 1. Publications: 0.
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.