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Dataset results
12 results for “EDF”
The raw EEG data, 4 files (EEG_A to D), in European data format (.edf)
<p>EEG data for comparison to PIR-estimated sleep in the Wellcome Open Research article:</p> <p>'COMPASS: Continuous Open Mouse Phenotyping of Activity and Sleep Status'</p>
A Clinical Study of the ACRYSOF® IQ EDF Intraocular Lens (IOL)
ClinicalTrials.gov study NCT03010254. IPD Sharing: NO. Countries: 4. Publications: 1.
Turkish Edinburgh Feeding Evaluation in Dementia (EdFed) Scale
ClinicalTrials.gov study NCT06889103. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
ECCO Sea Surface Height - Snapshot llc90 Grid (Version 4 Release 4)
This dataset provides instantaneous dynamic sea surface height and model sea level anomaly on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include dynamic sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; dynamic sea surface temperature (SST) from satellite radiometers [AVHRR], dynamic sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.
Images of Antarctic Ice Shelves, Version 2
Images of Antarctic Ice Shelves is a data set created as part of an effort to closely monitor major ice streams and outlet glaciers along the Antarctic coast, with a focus on the ice shelves considered the most susceptible to rapid change due to climatic warming and those that occasionally calve major icebergs. This monitoring effort began using AVHRR 1 Km images from several NOAA polar-orbiting satellites, and later included MODIS images from both Terra and Aqua. The scenes are derived from either the visible or the thermal channels. AVHRR images are available from August 1989 to October 2001, while MODIS images are available from March 2000 to present. New images processed from the MODIS Level 1B Calibrated Radiances are provided every month.
ATom: L2 Trace Gas and Isotope Measurements from Medusa Whole Air Sampler, Version 2
This dataset provides O2/N2, CO2, Ar/N2, and stable isotope ratios of CO2 measured in flasks collected by the Medusa Whole Air Sampler during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission. ATom deployed an extensive gas and aerosol payload on the NASA DC-8 aircraft for a systematic, global-scale sampling of the atmosphere, profiling continuously from 0.2 to 12 km altitude. Flights occurred in each of 4 seasons from 2016 to 2018. Medusa collected 32 cryogenically dried, flow, and pressure-controlled samples per flight. The samples are collected by an automated sampler into 1.5 L glass flasks that integrate over 25 seconds. Medusa provides discretely-sampled comparisons for onboard in situ O2/N2 ratio and CO2 measurements and unique measurements of Ar/N2 and 13C, 14C, and 18O isotopologues of CO2. Medusa flasks are analyzed on a sector-magnet mass spectrometer and a LiCor non-dispersive infrared CO2 analyzer by the Scripps O2 Program at Scripps Institution of Oceanography.
GPM SAPHIR on MT1 (PRPS) Radiometer Precipitation Profiling L3 1 day 0.25 x 0.25 degree V06 (GPM_3PRPSMT1SAPHIR_DAY) at GES DISC
Version 6 is the current version of this dataset. Older versions are no longer available and have been superseded by Version 6.The Precipitation Retrieval and Profiling Scheme (PRPS)is designed to provide a best estimate of precipitation based upon matched SAPHIR-DPR observations. This fulfils in part the essence of GPM (and its predecessor, TRMM) in which the core observatory acts as a calibrator of precipitation retrievals for the international constellation of passive microwave instruments. In doing so the retrievals from the partner constellation sensors are able to provide greater temporal sampling and great spatial coverage than is possible from the DPR instrument alone. However, the limitations of the DPR instrument are transferred through the retrieval scheme to the resulting precipitation products. Fundamental to the design of the PRPS is the independence from any dynamic ancillary data sets: the retrieval is based solely upon the satellite radiances, a static a priori radiance-rainrate database (and index), and (static) topographical data. Critically, the technique is independent of any model information, unlike the retrievals generated through the Goddard PROFiling (GPROF) scheme: this independence is advantageous when generating products across time scales from near real-time (inaccessibility to model data) to climatological scales (circumventing trends in model data).The algorithm is designed to generate instantaneous estimates of precipitation at a constant resolution (regardless of scan position), for all scan positions and scan lines. In addition to the actual precipitation estimate, an assessment of the error is made, and a measure of the ‘fit’ of the observations to the database provided. A quality flag is also provided, with any bad data generating a ‘missing flag’ in the retrieval.
UMAP Embeddings of Sleep-EDF-78
<h1><span dir="auto"><span dir="auto">AISleep: Automated and interpretable sleep staging from single-channel EEG data<br><br></span></span></h1> <p><span lang="EN-US">Xun Mai</span><span lang="EN-US">,</span><span lang="EN-US"> Binghua Song, Manli Luo</span><span lang="EN-US">, Jun Zhu, Xu Jiang, Xiao Ma</span><span lang="EN-US">, Feng Lin</span><span lang="EN-US">, Xiaoqing Hu<sup>5</sup>, Hanchuan Peng<sup>*</sup>, Li Zhang<sup>*</sup>, </span><span lang="EN-US">Y</span><span lang="EN-US">ina Wei<sup>*</sup></span></p> <h2><span lang="EN-US"><sup><br>Abstract</sup></span></h2> <p><span lang="EN-US"><sup><br>Sleep staging is essential for understanding sleep physiology and diagnosing sleep-related disorders. However, traditional manual scoring is time-consuming and resource-intensive, limiting its scalability for large-scale application. In this study, we introduce AISleep, an automated and interpretable unsupervised algorithm based on feature-weighted kernel density estimation (KDE), designed to stage sleep using only a single electroencephalography (EEG) channel. AISleep was evaluated using both public benchmark datasets of healthy subjects and clinical datasets from patients with sleep disorder. It outperforms state-of-the-art (SOTA) unsupervised sleep staging algorithms in young, healthy subjects, and demonstrates better generalizability compared to supervised models. Importantly, we observed that some key EEG features decline with age, which may contribute to reduced staging accuracy in older adults. This study presents a robust and interpretable unsupervised sleep staging algorithm whose lightweight design makes it well-suited for integration into portable devices, offering a practical and scalable solution for accurate, home-based sleep monitoring.<br></sup></span></p> <p> </p> <p><span dir="auto"><span dir="auto"> </span></span></p> <p> </p>
Kinesio Tape Application With EDF Technique on Active Trigger Points of Upper Trapezius Muscle
ClinicalTrials.gov study NCT05405959. IPD Sharing: NO. Countries: 1. Publications: 0.
EDF IOL Versus Monofocal IOL
ClinicalTrials.gov study NCT07092020. IPD Sharing: Not stated. Countries: 4. Publications: 0.
Study to Evaluate the Safety and Effectiveness of the enVista® Beyond (EY) EDF Intraocular Lens in Subjects Undergoing Cataract Extraction
ClinicalTrials.gov study NCT06333015. IPD Sharing: NO. Countries: 1. Publications: 0.
NOAA-20 VIIRS Global Binned Diffuse Attenuation Coefficient for Downwelling Irradiance (KD) - Near Real Time (NRT) Data, version R2022.0
The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit.
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.