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665 results for “foundation”
GHRSST Level 4 MW_IR_OI Global Foundation Sea Surface Temperature analysis version 5.0 from REMSS
A Group for High Resolution Sea Surface Temperature (GHRSST) global Level 4 sea surface temperature analysis produced daily on a 0.09-degree grid at Remote Sensing Systems. This product uses optimal interpolation (OI) from both microwave (MW) sensors including the Global Precipitation Measurement (GPM) Microwave Imager (GMI), the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI), the NASA Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite, and WindSat operates on the Coriolis satellite, and infrared (IR) sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platform and the Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Suomi-NPP satellite. The through-cloud capabilities of microwave radiometers provide a valuable picture of global sea surface temperature (SST) while infrared radiometers (i.e., MODIS) have a higher spatial resolution. This analysis does not use any in situ SST data such as drifting buoy SST. Comparing with previous version 4.0 dataset, the version 5.0 has made the updates in several areas, including the diurnal warming model, the sensor-specific error statistics (SSES) for each microwave sensor, the sensor correlation model, and the quality mask.
GHRSST Level 4 GAMSSA_28km Global Foundation Sea Surface Temperature Analysis v1.0 dataset (GDS2)
A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis, produced daily on an operational basis at the Australian Bureau of Meteorology (BoM) using optimal interpolation (OI) on a global 0.25 degree grid. This Global Australian Multi-Sensor SST Analysis (GAMSSA) v1.0 system blends satellite SST observations from passive infrared and passive microwave radiometers with in situ data from ships, drifting buoys and moorings from the Global Telecommunications System (GTS). SST observations that have experienced recent surface wind speeds less than 6 m/s during the day or less than 2 m/s during night are rejected from the analysis. The processing results in daily foundation SST estimates that are largely free of nocturnal cooling and diurnal warming effects. Sea ice concentrations are supplied by the NOAA/NCEP 12.7 km sea ice analysis. In the absence of observations, the analysis relaxes to the Reynolds and Smith (1994) Monthly 1 degree SST climatology for 1961 - 1990.
GHRSST Level 4 SPoRT Global Foundation Sea Surface Temperature Analysis (v1.0)
The GHRSST Level 4 SPoRT Global Foundation Sea Surface Temperature Analysis (v1.0) dataset is produced by the by the NASA Short-term Prediction Research and Transition (SPoRT) project to provide continuous high-resolution composited near global (80N – 80S) sea surface temperature fields twice daily at 2 km resolution for regional weather, maritime, and coastal applications. <br><br>It was originally a regional L4 dataset based on MODIS Aqua/Terra Level 2 SST inputs. Currently, the SPoRT SST analysis composites seven-days of Visible Infrared Imaging Radiometer Suite (VIIRS) and Advanced Very High Resolution Radiometer (AVHRR) satellite L2 SST data, with additional data from OSTIA and Geo-Polar Blended L4 SST products into a single analysis. Two types of weighting are used in the compositing process. One weight is for the data latency and the other for the product type and spatial resolution. The VIIRS and AVHRR data, being at 750m and 1km resolution respectively, are given the most weight, while the L4 datasets are given weaker weights. <br><br>This SPoRT SST dataset adheres to the GHRSST Data Specification (GDS) version 2 format specifications with full netCDF-4 and metadata compliance. The SPoRT project is funded by NASA and the data produced at the NASA Marshall Space Flight Center.
GHRSST Level 4 DMI_OI Global Foundation Sea Surface Temperature Analysis (GDS version 2)
A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis by the Danish Meteorological Institute (DMI) using an optimal interpolation (OI) approach on a global 0.05 degree grid. The analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several satellites. The sensors include the Advanced Very High Resolution Radiometer (AVHRR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer 2 (AMSR2), the Visible Infrared Imager Radiometer Suite (VIIRS), and the Moderate Resolution Imaging Spectroradiometer (MODIS) on Aqua. An ice field from the EUMETSAT OSI-SAF is used to mask out areas with ice. This dataset adheres to the version 2 GHRSST Data Processing Specification (GDS).
GHRSST Level 4 REMO_OI_SST_5km Regional Foundation Sea Surface Temperature Analysis (GDS version 2)
A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature (SST) analysis produced daily on an operational basis by the Oceanographic Modeling and Observation Network (REMO) at Applied Meteorology Laboratory/Federal University of Rio de Janeiro (LMA/UFRJ) using the Barnes sub optimal interpolation (OI) technique on a regional 0.05 degree grid. REMO uses Advanced Very High Resolution Radiometer (AVHRR) data from National Oceanic and Atmospheric Administration (NOAA) satellites series (NOAA 15, NOAA 16, NOAA 17, NOAA 18 and NOAA 19) and Microwave Imager (TMI) data from Tropical Rainfall Measuring Mission (TRMM) which is a joint mission between NASA and the Japan Aerospace Exploration Agency (JAXA) to generate 0.05 degree daily cloud free blended (infrared and microwave) SST products (approximately 5.5 km). The data lies between latitudes 45 S and 15 N and longitudes 70 W and 15 W region and are fully validated by in situ measurements from eleven buoys of Prediction and Research Moored Array in the Tropical Atlantic (PIRATA).AVHRR is a scanning radiometer capable of detecting energy from land, ocean and atmosphere. It operates with six spectral bands arranged in the regions of visible and infrared region. TRMM was launched in December, 1997, having an orbital inclination of 53 degree and altitude 350 km, an equatorial orbit that ranges from 40 N to 40 S and a spatial resolution of 0.25 degree (∼27.75 km). Although infrared AVHRR SST data have high spatial resolution, they are contaminated by cloud cover and aerosols, while lower resolution microvwave TMI data are barely influenced by these.
GHRSST Level 4 CMC0.1deg Global Foundation Sea Surface Temperature Analysis (GDS version 2)
A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature (SST) analysis produced daily on an operational basis at the Canadian Meteorological Center. This dataset merges infrared satellite SST at varying points in the time series from the Advanced Very High Resolution Radiometer (AVHRR) from NOAA-18,19, the European Meteorological Operational-A (METOP-A) and Operational-B (METOP-B), and microwave data from the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W satellite in conjunction with in situ observations of SST from drifting buoys and ships from the ICOADS program. It uses the previous days analysis as the background field for the statistical interpolation used to assimilate the satellite and in situ observations. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.
GHRSST Level 4 CMC0.2deg Global Foundation Sea Surface Temperature Analysis (GDS version 2)
A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature (SST) analysis produced daily on an operational basis at the Canadian Meteorological Center. This dataset merges infrared satellite SST at varying points in the time series from the (A)TSR series of radiometers from ERS-1, ERS-2 and Envisat, AVHRR from NOAA-16,17,18,19 and METOP-A, and microwave data from TMI, AMSR-E and Windsat in conjunction with in situ observations of SST from drifting buoys and ships from the ICOADS program. It uses the previous days analysis as the background field for the statistical interpolation used to assimilate the satellite and in situ observations. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.
GHRSST Level 4 OSTIA Global Historical Reprocessed Foundation Sea Surface Temperature Analysis produced by the UK Meteorological Office
The Operational Sea Surface Temperature and Sea Ice Analysis Reprocessed (OSTIA-REP) is a GHRSST reprocessed Level-4 sea surface temperature and ice-concentration analysis produced by the UK Met Office (UKMO) using optimal interpolation (OI) on a global 0.05 degree grid. It is a sister product of the Near Real Time version (OSTIA-NRT), but incorporates satellite data from over 25 different SST sensors as well as in situ data from drifting and moored buoys. The OSTIA-REP is produced on a biannual frequency when more satellite and climatology observations are available from existing geostationary IR, and polar orbiting IR and MW satellites in addition to the data used in OSTIA-NRT. <br><br>While OSTIA-NRT is produced to mainly serve as a lower boundary condition in Numerical Weather Prediction (NWP) models, this OSTIA-REP aims to provide a more accurate and consistent record of SST measurements over time, which is crucial for detecting long-term climate trends and variability. Both versions follow GHRSST Data Processing Specification (GDS) version 2 format guidelines.<br><br>Data to June 2022 are also distributed through the E.U. Copernicus Marine Service Information (https://marine.copernicus.eu/, DOI: https://doi.org/10.48670/moi-00168 with the following license). Please refer to the user guide for more information.
GHRSST Level 4 MW_IR_OI Global Foundation Sea Surface Temperature analysis version 5.1 from REMSS
A Group for High Resolution Sea Surface Temperature (GHRSST) global Level 4 sea surface temperature analysis produced daily on a 0.09-degree grid at Remote Sensing Systems. This product uses optimal interpolation (OI) from microwave (MW) sensors including the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI), the NASA Advanced Microwave Scanning Radiometer-EOS (AMSR-E), the WindSat on the Coriolis satellite, the Global Precipitation Measurement (GPM) Microwave Imager (GMI), and the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite, as well as infrared (IR) sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platforms and the Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Suomi-NPP and NOAA-20 satellites. These MW sensors are used through the SST production based on the sensor data availability. The through-cloud capabilities of microwave radiometers provide a valuable picture of global sea surface temperature (SST) while infrared radiometers (i.e., MODIS) have a higher spatial resolution. This analysis does not use any in situ SST data such as drifting buoy SST. Compared with the previous version 5.0 dataset, version 5.1 is processed using updated input files, VIIRS on NOAA-20 is included, the sensor-specific error statistics (SSES) for each microwave sensor are updated, and deficiencies in the OI processing have been addressed.
GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1)
A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced as a retrospective dataset (four day latency) and near-real-time dataset (one day latency) at the JPL Physical Oceanography DAAC using wavelets as basis functions in an optimal interpolation approach on a global 0.01 degree grid. The version 4 Multiscale Ultrahigh Resolution (MUR) L4 analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several instruments including the NASA Advanced Microwave Scanning Radiometer-EOS (AMSR-E), the JAXA Advanced Microwave Scanning Radiometer 2 on GCOM-W1, the Moderate Resolution Imaging Spectroradiometers (MODIS) on the NASA Aqua and Terra platforms, the US Navy microwave WindSat radiometer, the Advanced Very High Resolution Radiometer (AVHRR) on several NOAA satellites, and in situ SST observations from the NOAA iQuam project. The ice concentration data are from the archives at the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF) High Latitude Processing Center and are also used for an improved SST parameterization for the high-latitudes. The dataset also contains additional variables for some granules including a SST anomaly derived from a MUR climatology and the temporal distance to the nearest IR measurement for each pixel.This dataset is funded by the NASA MEaSUREs program ( http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects ), and created by a team led by Dr. Toshio M. Chin from JPL. It adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications. Use the file global metadata "history:" attribute to determine if a granule is near-realtime or retrospective.
Quantitative proteomic and single-nucleus transcriptomics map of the sinus node elucidates the foundation of cardiac pacemaking
GEO Series GSE130710. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Integrated single-cell multiomics uncovers foundational regulatory mechanisms of lens development and pathology [Multiome snRNA/snATAC]
GEO Series GSE236903. Gallus gallus. 4 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Nucleome programming is required for the foundation of totipotency in mammalian germline development [Hi-C]
GEO Series GSE184129. Mus musculus. 12 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
A foundational atlas of autism protein interactions reveals molecular convergence [scRNA-seq]
GEO Series GSE285270. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome data of uterine and ovarian carcinosarcoma tissues derived from patients in the Cancer Institute Hospital of Japanese Foundation for Cancer Research
GEO Series GSE128630. Homo sapiens. 100 samples. Type: Expression profiling by high throughput sequencing.
The genomic foundation of heterotrophy to photoautotrophy transition in Oleaginous Chlorella
GEO Series GSE40028. Auxenochlorella pyrenoidosa. 18 samples. Type: Expression profiling by high throughput sequencing.
Breast Cancer Methylomes Establish an Epigenomic Foundation for Metastasis
GEO Series GSE26349. Homo sapiens. 60 samples. Type: Expression profiling by array; Methylation profiling by array.
Nucleome programming is required for the foundation of totipotency in mammalian germline development [ATAC-Seq]
GEO Series GSE183801. Mus musculus. 14 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
APRIL drives a co-ordinated but diverse response as a foundation for plasma cell longevity [I]
GEO Series GSE173644. Homo sapiens. 20 samples. Type: Expression profiling by high throughput sequencing.
Nucleome programming is required for the foundation of totipotency in mammalian germline development [ChIP-Seq]
GEO Series GSE183826. Mus musculus. 191 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
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.