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641
datasets available to search
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Dataset results
641 results for “data validation”
The LIVMOR Data Collection Study for the Development and Validation of L-1000AF System
ClinicalTrials.gov study NCT04104191. IPD Sharing: Not stated. Countries: 1. Publications: 0.
VCRC Patient Contact Registry Patient-Reported Data Validation Study
ClinicalTrials.gov study NCT02190942. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Validation of Useful Markers Generated by Next Generation Bio-data Based Genome Research and Cohort Study
ClinicalTrials.gov study NCT02807896. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of the Epilepsy-related Quality of Life, Seizure-related Accidents and Validation of the Mjn-SERAS Solution in the Normalised Patient Environment with Real-World Data
ClinicalTrials.gov study NCT05845255. IPD Sharing: UNDECIDED. Countries: 3. Publications: 0.
Point of Care Ultrasound Lung Artificial Intelligence (AI) Validation Data Collection Study
ClinicalTrials.gov study NCT04891705. IPD Sharing: Not stated. Countries: 1. Publications: 0.
LEOPARD Training and Validation Data Collection Study
ClinicalTrials.gov study NCT06675604. IPD Sharing: NO. Countries: 7. Publications: 0.
A Study of the Construct Validity of Community Walking Speed Data Collected Remotely With the Canary canturioTM te Tibial Extension
ClinicalTrials.gov study NCT05539326. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data Quality of National Quality Indicators in Long-term Care Facilities: a Validation and Evaluation Study
ClinicalTrials.gov study NCT06160024. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Diastolic pressure ratio: new approach and validation vs. the instantaneous wave-free ratio
Open the record for dataset details and reuse information.
Data from: Sorting specimen-rich invertebrate samples with cost-effective NGS barcodes: validating a reverse workflow for specimen processing
Open the record for dataset details and reuse information.
Data from: Validation of NINDS-VCI neuropsychology protocols for vascular cognitive impairment in Taiwan
Open the record for dataset details and reuse information.
Data from: Validation of the instrument of health literacy competencies for Chinese-speaking health professionals
Open the record for dataset details and reuse information.
Validation of THS-seq method, and comparison of published ENCODE DNase-seq data, self-generated ATAC-seq data and published ATAC-seq data, and THS-seq data for quantitation of chromatin accessibility.
GEO Series GSE72089. Homo sapiens. 11 samples. Type: Third-party reanalysis; Other; Genome binding/occupancy profiling by high throughput sequencing.
Quantification, dynamic visualization, and validation of bias in ATAC-seq data with ataqv
GEO Series GSE130450. Homo sapiens. 62 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Arabian Sea bio-optical and biogeochemical data for ocean color validation
This project will collect high-quality, bio-optical, and biogeochemical data for validation of advanced satellite products from PACE OCI for the Arabian Sea, a highly under-sampled region of the worlds oceans, now experiencing dramatic ecosystem changes from human activities and climate-change. Over the past two decades, the base of the food chain of this monsoonal-driven ecosystem has transitioned from diatoms to one dominated by the mixotrophic dinoflagellate, Noctiluca scintillans (Noctiluca) that forms intense and widespread blooms visible from space. Capturing such phytoplankton transitions has been the pursuit of ocean color missions for more than three decades, and with its hyperspectral capabilities, NASAs PACE mission can now provide unprecedented insight into the response of phytoplankton communities to global pressures. Despite the dramatic rates at which the Arabian Sea has been changing, it remains among the most optically under-sampled of global water bodies. As part of this effort, we will leverage our long-standing ties with colleagues in India to collect high quality, high resolution (sub-pixel scale), continuous, underway and discrete bio-optical measurements to validate standard and advanced ocean products from PACE, essential to advance our understanding of vulnerable marine ecosystems and their response to anthropogenic change. As part of this activity, we plan to participate in one pre-monsoon cruise (2025) led by Space Applications Centre, ISRO, India, and two post-bloom ONR led cruises in April-May of 2024 and in April-May 2025. The pre-monsoon cruises are being undertaken as part of an Indo-US study focused on establishing triggers of the southwest monsoon rainfall season over the Indian sub-continent. Some of the data shared under this DOI is part of the Arabian Sea Marine environment through Science and Advanced Training (EKAMSAT) collaborative effort between the Ministry of Earth Sciences, Govt. of India and the Office of Naval Research. EKAMSAT commenced with a pilot study in June 2023. The pilot data is being archived under the SeaBASS experiment EKAMSAT_Pilot_ASTRAL (DOI: 10.5067/SeaBASS/EKAMSAT_Pilot_ASTRAL/DATA001) and can downloaded here: https://seabass.gsfc.nasa.gov/experiment/EKAMSAT_Pilot_ASTRAL.
GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) PASSIVE MICROWAVE RADIOMETER AND SOIL MOISTURE-TEMPERATURE DATA GCPEX
The GPM Ground Validation Environment Canada (EC) Passive Microwave Radiometer and Soil Moisture-Temperature Data GCPEx dataset is consisted of data during the GPM Cold-season Precipitation Experiment (GCPEx) at the Centre for Atmospheric Research Experiments (CARE) site in Ontario, Canada during the winter season 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Data collected includes microwave brightness temperatures, snow and soil/snow-air interface (ground surface temperatures), soil surface temperatures, and soil volumetric water content. These data were acquired by multiple instruments: a passive microwave radiometer, a water content reflectometer, thermistors, soil moisture probe.
CALIPSO Wide Field Camera Level 1B 1 km Registered Science data, Validated Stage 1 V3-02
CAL_WFC_L1_IIR-ValStage1-V3-02 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera Level 1B 1 km Registered Science data. Version 3.02 represents a transition of the Lidar, IIR, and WFC processing and browse code to a new cluster computing system. No algorithm changes were introduced and very minor changes were observed between V3.01 and V3.02 as a result of the compiler and computer architecture differences. The primary Wide Field Camera Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During the normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The Wide Field Camera Level 1B 1 IIR Registered Science grid provides WFC data on the identical grid as the CALIPSO IIR data and is produced to facilitate the use of the WFC data in the IIR retrievals. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES.
GPM GROUND VALIDATION NOAA S-BAND PROFILER RAW DATA NETCDF FORMAT MC3E
The GPM Ground Validation NOAA S-Band Profiler Raw Data NetCDF Format MC3E dataset was gathered during the Midlatitude Continental Convective Clouds Experiment (MC3E) in Oklahoma April 8, 2011 to June 7, 2011 and consists of uncalibrated Doppler velocity spectra data in units of relative power return. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The S-band 2.8 GHz profiler points vertically and measures the backscattered power from raindrops and ice particles as precipitating cloud systems pass overhead. The profiler processes radar pulses during a 7-second dwell before calculating and saving uncalibrated Doppler velocity spectra at each range gate that were separated by 60-meters vertically. Data collected during each hour are saved in two files. All precipitation mode profiles are saved in one hourly data file and all attenuated mode profiles are saved in another hourly data file. Calibrated data can be obtained from the S-band Original Dwell and Minute datasets.
Airborne Multi-angle Imaging SpectroRadiometer (AirMISR) Data from the KONza Validation EXperiment (KONVEX)
The AIRMISR_KONVEX data were acquired during the KONza Validation EXperiment (KONVEX) which occurred 11 - 18 July 1999. The AIRMISR_KONVEX data were obtained on 13 July 1999, flight #36 only. The Jet Propulsion Laboratory (JPL) in Pasadena, California provided the data. The Airborne Multi-angle Imaging SpectroRadiometer (AirMISR) is an airborne instrument for obtaining multi-angle imagery similar to that of the satellite-borne Multi-angle Imaging SpectroRadiometer (MISR) instrument, which is designed to contribute to studies of the Earth's ecology and climate. AirMISR flies on the NASA ER-2 aircraft. The Jet Propulsion Laboratory in Pasadena, California built the instrument for NASA. Unlike the satellite-borne MISR instrument, which has nine cameras oriented at various angles, AirMISR uses a single camera in a pivoting gimbal mount. A data run by the ER-2 aircraft is divided into nine segments, each with the camera positioned to a MISR look angle. The gimbal rotates between successive segments, such that each segment acquires data over the same area on the ground as the previous segment. This process is repeated until all nine angles of the target area are collected. The swath width, which varies from 11 km in the nadir to 32 km at the most oblique angle, is governed by the camera's instantaneous field-of-view of 7 meters cross-track x 6 meters along-track in the nadir view and 21 meters x 55 meters at the most oblique angle. The along-track image length at each angle is dictated by the timing required to obtain overlap imagery at all angles, and varies from about 9 km in the nadir to 26 km at the most oblique angle. Thus, the nadir image dictates the area of overlap that is obtained from all nine angles. A complete flight run takes approximately 13 minutes. The 9 camera viewing angles are:0 degrees or nadir26.1 degrees, fore and aft45.6 degrees, fore and aft60.0 degrees, fore and aft70.5 degrees, fore and aft For each of the camera angles, images are obtained at 4 spectral bands. The spectral bands can be used to identify vegetation and aerosols, estimate surface reflectance and ocean color studies. The center wavelengths of the 4 spectral bands are:443 nanometers, blue555 nanometers, green670 nanometers, red865 nanometers, near-infrared Two types of AirMISR data products are available - the Level 1 Radiometric product (L1B1) and the Level 1 Georectified radiance product (L1B2).
GPM GROUND VALIDATION UND CITATION NAVIGATION DATA GCPEX V2
The GPM Ground Validation UND Citation Navigation Data GCPEx V2 dataset was collected by the Cessna Citation II Research, which was aircraft, owned, and operated by the University of North Dakota (UND), participated in the GPM Cold-season Precipitation Experiment (GCPEx) by serving as an in situ microphysics sampling platform. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected to aid in the achievement Data User Guide of the overarching goal of GCPEx, which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The GCPEx navigation data set collected wind speed amongst several other parameters. It would also be beneficial to list the other parameters it collected.
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.