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4,325
datasets available to search
ShareScore release 0.9.0
Dataset results
4,325 results for “real”
Data from: Understanding real-world brake activity: A key to assessing non-tailpipe emission sources for sustainable transportation and communities
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Data from: Diffantom: whole-brain diffusion MRI phantoms derived from real datasets of the Human Connectome Project
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Data from: Colorimetric and fluorescent probes for real-time naked eye sensing of copper ion in solution and on paper substrate
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Data from: Residual eDNA detection sensitivity assessed by quantitative real-time PCR in a river ecosystem
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Data from: No substitute for real data: a cautionary note on the use of phylogenies from birth-death polytomy resolvers for downstream comparative analyses
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Data from: The influence of real-time feedback on the quality of resuscitation: a prospective study comparing bystanders, paramedic course participants, and emergency physician trainee
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Data from: Automated CT perfusion imaging for acute ischemic stroke: pearls and pitfalls for real world use
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Data from: Real-time social selection maintains honesty of a dynamic visual signal in cooperative fish
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Selection and exploitation of prevalent, tandemly repeated genomic targets for improved real-time PCR-based detection of Wuchereria bancrofti and Plasmodium falciparum in mosquitoes
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Design of a custom-made device for real-time optical measurement of differential mineral concentrations in 3D scaffolds for bone tissue engineering
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Data from: A HRM real-time PCR assay for rapid and specific identification of the emerging pest spotted-wing drosophila (Drosophila suzukii)
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Data from: Real or fake? natural and artificial social stimuli elicit divergent behavioral and neural responses in mangrove rivulus, Kryptolebias marmoratus
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Data from: Reconstructing the spectrotemporal modulations of real-life sounds from fMRI response patterns
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Using real-time UV-visible spectrophotometer to assess an Al-Zn-Mg-Cu alloy’s dissolution in acidic solution
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Slow oscillation-spindle coupling strength predicts real-life gross-motor learning in adolescents and adults
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NCST real world brake activity of heavy-duty vehicles
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Ocean Surface Current Analyses Real-time (OSCAR) Surface Currents - Final 0.25 Degree (Version 2.0)
Ocean Surface Current Analyses Real-time (OSCAR) is a global surface current database and NASA funded research project. OSCAR ocean mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature gradients using a simplified physical model for geostrophy, Ekman, and thermal wind dynamics. Daily averaged surface currents are provided on a global 0.25 x 0.25 degree grid as an average over an assumed well-mixed top 30 m of the ocean from 1993 to present day. OSCAR currents are provided at three quality levels: final, interim and nrt with a respective latency of each of approximately 1 year, 1 month, and 2 days. OSCAR is generated by Earth & Space Research (ESR) https://www.esr.org/research/oscar/. More details on the source datasets, file structure, and methodology can be found in oscarv2guide.pdf.
['The Effects of Spaceflight Factors on the Human Plasma Proteome, Including Both Real Space Missions and Ground-Based Experiments']
['The aim of the study was to continue of the proteomic data accumulation on the effects of space flight factors on the human body, including ground-based model experiments. Blood plasma samples were collected from 5 healthy men included in the 21 days head-down bed rest experiment (HDBR) and 5 volunteers participating in a 21 day long dry immersion experiment.']
TRMM (TMPA-RT) Near Real-Time Microwave precipitation estimate L3 3 hour 0.25 degree x 0.25 degree V7 (TRMM_3B40RT) at GES DISC
TMPA (3B40RT) dataset have been discontinued as of Dec. 31, 2019, and users are strongly encouraged to shift to the successor IMERG datasets (doi: 10.5067/GPM/IMERG/3B-HH-E/06, 10.5067/GPM/IMERG/3B-HH-L/06). These data were output from the TRMM Multi-satellite Precipitation Analysis (TMPA), the Near Real-Time (RT) processing stream. The latency was about seven hours from the observation time, although processing issues may delay or prevent this schedule. Users should be mindful that the price for the short latency of these data is the reduced quality as compared to e.g. research quality product 3B42. This particular dataset is an intermediate high-quality (HQ) estimate from merged Microwave precipitation estimates.Data files start with a header consisteing of a 2880-byte header record containing ASCII characters. The header line makes the file nearly self-documenting, in particular spelling out thevariable and version names, and giving the units of the variables. Immediately after the header follow the data fields. All fields are 1440x720 grid boxes (0-360�E,90�N-S). The first grid box center is at (0.125�E,89.875�N). The grid increments most rapidly to the east. Grid boxes without valid data are filled with the (2-byte integer) "missing" value -31999. Estimates are only computed for the band 70�N-S. This binary data sets are in IEEE ?big-endian? floating-point format.Files are produced every 3 hours on synoptic observation hours (00, 03, ..., 21 UTC) as an accumulation of all HQ swath data observed within +/-90 minutes of the nominal file time. I.e. Each file is a snapshot considered to represent the three-hour period centered on the "nominal" file time. So, e.g., 00 UTC nominally represents the period from 2230 UTC of the previous day to 0130 UTC of the current day.
SARAL Near-Real-Time Value-added Operational Geophysical Data Record Sea Surface Height Anomaly
These data are near-real-time (NRT) (within 7-9 hours of measurement) sea surface height anomalies (SSHA) from the AltiKa altimeter onboard the Satellite with ARgos and ALtiKa (SARAL). SARAL is a French(CNES)/Indian(SARAL) collaborative mission to measure sea surface height using the Ka-band AltiKa altimeter and was launched February 25, 2013. The major difference between these data and the Operational Geophysical Data Record (OGDR) data produced by the project is that the orbit from SARAL has been adjusted using SSHA differences with those from the OSTM/Jason-2 GPS-OGDR-SSHA product at inter-satellite crossover locations. This produces a more accurate NRT orbit altitude for SARAL with accuracy of 1.5 cm (RMS), taking advantage of the 1 cm (radial RMS) accuracy of the GPS-based orbit used for the OSTM/Jason-2 GPS-OGDR-SSHA product. This dataset also contains all data from the project (reduced) OGDR, and improved altimeter wind speeds and sea state bias correction. More information on the SARAL mission can be found at: http://www.aviso.oceanobs.com/en/missions/current-missions/saral.html
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.