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95 results for “Time Domain”

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ClinicalTrials.gov24/100

Retinal Thickness and Volume Estimates Given by Time Domain and Spectral Optical Coherence Tomography

ClinicalTrials.gov study NCT00873106. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
geo24/100

Identification of Replication Timing Domains Using DNN-HMM

GEO Series GSE53984. Homo sapiens. 0 samples. Type: Third-party reanalysis; Other.

openGEO-OpenMay 2015View details →
geo24/100

Shugoshin forms a specialized chromatin domain at subtelomeres that regulates transcription and replication timing.

GEO Series GSE61699. Schizosaccharomyces pombe. 1 samples. Type: Genome binding/occupancy profiling by genome tiling array.

openGEO-OpenOct 2015View details →
dryad24/100

Data from: Classifying three imaginary states of the same upper extremity using time-domain features

Open the record for dataset details and reuse information.

publicMar 2018View details →
geo20/100

Abnormal Developmental Control of Replication Timing Domains in Pediatric Acute Lymphoblastic Leukemia

GEO Series GSE37987. Homo sapiens. 40 samples. Type: Genome variation profiling by genome tiling array.

openGEO-OpenMay 2012View details →
geo20/100

Cohesin-mediated genome architecture does not define replication timing domains

GEO Series GSE124025. Homo sapiens. 14 samples. Type: Other.

openGEO-OpenMar 2019View details →
geo20/100

Time course of prion infected (RML) and globular domain ligands (POM1) in cultured organotypic cerebellar slices (COCS)

GEO Series GSE65147. Mus musculus. 72 samples. Type: Expression profiling by array.

openGEO-OpenJan 2015View details →
zenodo20/100

The data availability information of "Denoising CSAMT signals in the time domain based on long short-term memory"

Open the record for dataset details and reuse information.

opencc-by-4.0Feb 2024View details →
nasa20/100

GALEX Time Domain Survey Catalog

This table contains results from the selection and classification of over a thousand ultraviolet (UV) variable sources discovered in ~ 40 deg<sup>2</sup> of GALEX Time Domain Survey (TDS) NUV images observed with a cadence of 2 days and a baseline of observations of ~ 3 years. The GALEX TDS fields were designed to be in spatial and temporal coordination with the Pan-STARRS1 Medium Deep Survey, which provides deep optical imaging and simultaneous optical transient detections via image differencing. The authors characterize the GALEX photometric errors empirically as a function of mean magnitude, and select sources that vary at the 5-sigma level in at least one epoch. They measure the statistical properties of the UV variability, including the structure function on timescales of days and years, and report classifications for the GALEX TDS sample using a combination of optical host colors and morphology, UV light curve characteristics, and matches to archival X-ray, and spectroscopy catalogs. The authors classify 62% of the sources as active galaxies (358 quasars and 305 active galactic nuclei), and 10% as variable stars (including 37 RR Lyrae, 53 M dwarf flare stars, and 2 cataclysmic variables). They detect a large-amplitude tail in the UV variability distribution for M-dwarf flare stars and RR Lyrae, reaching up to |Delta-M| = 4.6 and 2.9 magnitudes, respectively. The mean amplitude of the structure function for quasars on year timescales is five times larger than observed at optical wavelengths. The remaining unclassified sources include UV-bright extragalactic transients, two of which have been spectroscopically confirmed to be a young core-collapse supernova and a flare from the tidal disruption of a star by a dormant super-massive black hole. The authors calculate a surface density for variable sources in the UV with NUV < 23 mag and |Delta-M| > 0.2 mag of ~ 8.0, 7.7, and 1.8 deg<sup>-2</sup> for quasars, AGN, and RR Lyrae stars, respectively, and a surface density rate in the UV for transient sources, using the effective survey time at the cadence appropriate to each class, of ~15 and 52 deg<sup>-2</sup> yr<sup>-1</sup> for M dwarfs and extragalactic transients, respectively. The GALEX observations were made using the NUV detector which has an 1.25 degree diameter field of view and an effective wavelength of 2316 Angstroms. During the window of observing visibility of each GALEX TDS field (from two to four weeks, one to two times per year), they were observed with a cadence of 2 days, and a typical exposure time per epoch of 1.5 ks (or a 5-sigma point-source limit of m<sub>AB</sub>(NUV) ~ 23.3 magnitude), with a range from 1.0 to 1.7 ks. Table 2 in the reference paper lists the RA and Dec of their centers, the Galactic extinction E(B - V ) for each field from the Schlegel et al. (1998, ApJ, 500, 525) dust maps, and the number of epochs per field. This table was created by the HEASARC in May 2013 based on a machine-readable version of Table 4 from the paper which was obtained from the ApJ web site. This is a service provided by NASA HEASARC .

restrictednotspecifiedApr 2025View details →
geo16/100

Rif1 regulates the replication timing domains on the human genome

GEO Series GSE37971. Homo sapiens. 4 samples. Type: Genome variation profiling by genome tiling array.

openGEO-OpenMay 2012View details →
nasa16/100

PSP FIELDS F2 Time Domain Sampler (F2 TDS) 100 bit/s Summary Telemetry, Level 2 (L2), 8 s Data

PSP FIELDS F2 100 bps Summary Telemetry Data

restrictednotspecifiedApr 2025View details →
geo12/100

Glycine max Jumonji C domain-containing proteins JMJ19/20 exhibit endopeptidase activity and interact with LUXs to mediate flowering time [CUT&Tag]

GEO Series GSE231883. Glycine max. 16 samples. Type: Other.

openGEO-OpenMay 2024View details →
nasa12/100

Wind Plasma and Radio Waves (WAVES) Time Domain Sampler (TDS) Dust Impact, Level 3, 1 s Data

Wind WAVES Time Domain Sampler, TDS, Dust Data File References: 1) Bougeret, J.-L., et al., WAVES: The Radio and Plasma Wave Investigation on the Wind Spacecraft, Space Sci. Rev., 71, 231-263, 1995, doi:10.1007/BF00751331. 2) Malaspina, D.M., M. Horanyi, A. Zaslavsky, K. Goetz, L.B. Wilson III, and K. Kersten, Interplanetary and Interstellar Dust observed by the Wind/WAVES Electric Field Instrument, Geophys. Res. Lett., 41, 266-272, 2014, doi:10.1002/2013GL058786. 3) Malaspina, D.M., and L.B. Wilson III, A Database of Interplanetary and Interstellar Dust Detected by the Wind Spacecraft, J. Geophys. Res., 121, 9369-9377, 2016, doi:10.1002/2016JA023209.

restrictednotspecifiedApr 2025View details →
nasa12/100

Polar Plasma Wave Instrument (PWI), High Frequency Waveform Receiver, 16 kHz, Time Domain Fields.

The unattenuated frequency range for this file type is 20Hz to 16000Hz. The cadence value given here is computed from the inverse of the sampling rate (35.71 kHz). For a description of the PWI receivers and the different operational modes see: http://www-pw.physics.uiowa.edu/plasma-wave/istp/polar/modes.html

restrictednotspecifiedApr 2025View details →
nasa12/100

Polar Plasma Wave Instrument, High Frequency Waveform Receiver, 2 kHz, Time Domain Fields

PWI>Plasma Wave Instrument Reference: Gurnett, D.A., et al., The Polar Plasma Wave Instrument, Space Science Reviews, Vol. 71, pp. 597-622, 1995. donald-gurnett@uiowa.edu An FFT on 2048 values was used in calibrating the data; i.e., perform FFT, calibrate in frequency domain, perform inverse FFT to get calibrated time series. The coordinate system used is local magnetic field-aligned, a spacecraft centered coordinate system where Z is parallel to the local B-field determined from Polar MFE, X points outward and lies in the plane defined by the Z-axis and the radial vector from the earth to the spacecraft, and Y completes a right-handed system and points eastward. The X- and Z-axes are contained in the north-south plane. Effective Bandwidth is 1.5*delta_f, where delta_f depends on the size of the FFT used to convert to the frequency domain, and delta_t. The unattenuated frequency range for this file type is 20Hz to 2000Hz. These data come in snapshots of 2048 samples per channel, every 128.8 seconds, with a cadence equal to the inverse of the sampling rate (4464 Hz), and individual time tags given in CDF TT2000 format. For a description of the PWI receivers and the different operational modes see https://space.physics.uiowa.edu/plasma-wave/polar/modes.html

restrictednotspecifiedApr 2025View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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