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1,782 results for “Algorithm”
TROPICS06 L2B Tropical Cyclone Intensity Estimate (TCIE) Algorithm V1.0
The "Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats" (TROPICS) mission has a goal of providing nearly all-weather observations of three-dimensional temperature and humidity, as well as cloud ice and precipitation horizontal structure, at high temporal resolution to conduct high-value science investigations of tropical cyclones. The mission comprises a constellation of five identical Space Vehicles (SVs) conforming to the 3U form factor and hosting a passive microwave spectrometer payload. Each SV hosts an identical high-performance spectrometer named the TROPICS Millimeter-wave Sounder (TMS) that will provide temperature profiles using seven channels near the 118.75-GHz oxygen absorption line, water vapor profiles using three channels near the 183-GHz water vapor absorption line, imagery in a single channel near 90 GHz for precipitation measurements (when combined with higher resolution water vapor channels), and a single channel near 205 GHz that is more sensitive to cloud-sized ice particles. The TROPICS Tropical Cyclone Intensity Estimate algorithm (TCIE), developed at the University of Wisconsin/CIMSS that uses native microwave brightness temperatures, estimates two primary TC variables: Minimum Sea Level Pressure (MSLP) and Maximum Sustained Winds (MSW). The TROPICS TCIE uses the brightness temperature perturbation of two temperature sounding channels (Ch. 6 and Ch. 7) and one channel from the moisture sounding channel (Ch. 1) along with ancillary information from the TC working best track file and the CIMSS ARCHER algorithm (eye size information) to estimate the TC intensity. This validated TCIE data release starts in June 2023 for the constellation CubeSats, and August 2021 for the TROPICS-01/Pathfinder.
TROPICS07 L2B Deep Multispectral INtensity (DMIN) of Tropical Cyclones Estimator Algorithm V0.2
The "Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats" (TROPICS) mission has a goal of providing nearly all-weather observations of three-dimensional temperature and humidity, as well as cloud ice and precipitation horizontal structure, at high temporal resolution to conduct high-value science investigations of tropical cyclones. The mission comprises a constellation of five identical Space Vehicles (SVs) conforming to the 3U form factor and hosting a passive microwave spectrometer payload. Each SV hosts an identical high-performance spectrometer named the TROPICS Millimeter-wave Sounder (TMS) that will provide temperature profiles using seven channels near the 118.75-GHz oxygen absorption line, water vapor profiles using three channels near the 183-GHz water vapor absorption line, imagery in a single channel near 90 GHz for precipitation measurements (when combined with higher resolution water vapor channels), and a single channel near 205 GHz that is more sensitive to cloud-sized ice particles. The Deep Multispectral INtensity of TCs estimator with 183 GHz brightness temperatures (D-MINT183), developed at the University of Wisconsin/CIMSS, estimates two primary TC variables: Minimum Sea Level Pressure (MSLP) and Maximum Sustained Winds (MSW). D-MINT183 is a convolutional neural network (CNN) with no inherent physical understanding of TC intensity relationships, which is an approach that differs from the other two TROPICS TC Intensity algorithm (i.e., TCIE and HISA). D-MINT183 is trained using combinations of 183±1 and 183±3 GHz imagery from SSMIS, ATMS, MHS, and AMSU-B, as well as 15 hours of infrared imagery (in 3-h increments) and scalar predictors. TROPICS has 184.41 GHz and 186.51 GHz imagery, which is used as a proxy for the 183±1 GHz and 183±3 GHz imagery. D-MINT183 produces a probabilistic distribution of intensities for a given TC for 15 different quantiles. The D-MINT183 single-value intensity is the average of the 30th to 70th quantiles, as that was found to be more accurate than the 50th quantile.
TROPICS03 L2B Tropical Cyclone Intensity Estimate (TCIE) Algorithm V1.0
The "Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats" (TROPICS) mission has a goal of providing nearly all-weather observations of three-dimensional temperature and humidity, as well as cloud ice and precipitation horizontal structure, at high temporal resolution to conduct high-value science investigations of tropical cyclones. The mission comprises a constellation of five identical Space Vehicles (SVs) conforming to the 3U form factor and hosting a passive microwave spectrometer payload. Each SV hosts an identical high-performance spectrometer named the TROPICS Millimeter-wave Sounder (TMS) that will provide temperature profiles using seven channels near the 118.75-GHz oxygen absorption line, water vapor profiles using three channels near the 183-GHz water vapor absorption line, imagery in a single channel near 90 GHz for precipitation measurements (when combined with higher resolution water vapor channels), and a single channel near 205 GHz that is more sensitive to cloud-sized ice particles. The TROPICS Tropical Cyclone Intensity Estimate algorithm (TCIE), developed at the University of Wisconsin/CIMSS that uses native microwave brightness temperatures, estimates two primary TC variables: Minimum Sea Level Pressure (MSLP) and Maximum Sustained Winds (MSW). The TROPICS TCIE uses the brightness temperature perturbation of two temperature sounding channels (Ch. 6 and Ch. 7) and one channel from the moisture sounding channel (Ch. 1) along with ancillary information from the TC working best track file and the CIMSS ARCHER algorithm (eye size information) to estimate the TC intensity. This validated TCIE data release starts in June 2023 for the constellation CubeSats, and August 2021 for the TROPICS-01/Pathfinder.
Geostationary Lightning Mapper (GLM) Cluster Integrity, Exception Resolution, and Reclustering Algorithm (CIERRA)
The Geostationary Lightning Mapper (GLM) Cluster Integrity, Exception Resolution, and Reclustering Algorithm (CIERRA) dataset consists of a hierarchy of earth-located lightning radiant energy measures including events, groups, series, flashes, and areas. The GLM CIERRA data addresses the artificial flash termination by the GLM ground system by recombining split flashes and filtering out more non-lightning noise. This provides researchers with a powerful tool to better investigate convective storm and lightning activity with more accurate observations as well as better incorporate spatial extent observations that can be used for aviation meteorology, lightning safety, and other studies. These data are available from January 12, 2017, through March 31, 2023, in netCDF-4 format.
Highly accurate Skin-Specific methylome analysis algorithm as a platform to screen and validate therapeutics for healthy aging
GEO Series GSE151617. Homo sapiens. 50 samples. Type: Methylation profiling by genome tiling array.
HNSCC cell lines for CoGAPS matrix factorization algorithm identifies AP-2alpha as a feedback mechanism from therapeutic inhibition of the EGFR network
GEO Series GSE62027. Homo sapiens. 42 samples. Type: Expression profiling by array.
wuHMM: a robust algorithm to detect DNA copy number variation using long oligonucleotide microarray data
GEO Series GSE10511. Mus musculus. 4 samples. Type: Genome variation profiling by genome tiling array.
A Novel Statistical Algorithm for Gene Expression Analysis Differentiates PXR-Dependent and Independent Mechanisms of Toxicity
GEO Series GSE23780. Mus musculus. 20 samples. Type: Expression profiling by array.
An integrated molecular diagnostic report for heart transplant biopsies using an ensemble of diagnostic algorithms
GEO Series GSE124897. Homo sapiens. 889 samples. Type: Expression profiling by array.
Development and application of a new immunophenotypic algorithm for molecular subtype classification of Diffuse Large B-Cell Lymphoma (DLBCL): Report from an International DLBCL Rituximab-CHOP Consort
GEO Series GSE31312. Homo sapiens. 498 samples. Type: Expression profiling by array.
Highly accurate Skin-Specific methylome analysis algorithm as a platform to screen and validate therapeutics for healthy aging [DS5]
GEO Series GSE151604. Homo sapiens. 10 samples. Type: Methylation profiling by genome tiling array.
Highly accurate Skin-Specific methylome analysis algorithm as a platform to screen and validate therapeutics for healthy aging [DS1]
GEO Series GSE151600. Homo sapiens. 16 samples. Type: Methylation profiling by genome tiling array.
Comparison of RNA-seq and Microarray Platforms for Splice Event Detection using a Cross-Platform Algorithm [Junction Arrays]
GEO Series GSE104610. Homo sapiens. 30 samples. Type: Expression profiling by array.
Highly accurate Skin-Specific methylome analysis algorithm as a platform to screen and validate therapeutics for healthy aging [DS4]
GEO Series GSE151603. Homo sapiens. 12 samples. Type: Methylation profiling by genome tiling array.
Construction of a Transferable NGS Algorithmic Model for Predicting EBV-Associated Nasopharyngeal Cancer and High-risk Mutation
GEO Series GSE271486. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Classification of a large micro-array dataset. Algorithm comparison and analysis of drug signatures.
GEO Series GSE2187. Rattus norvegicus. 587 samples. Type: Expression profiling by array.
VIPR: A probabilistic algorithm for analysis of microbial detection microarrays
GEO Series GSE21407. dengue virus type 4; La Crosse virus; Rift Valley fever virus; Toscana virus; Kyasanur Forest disease virus; Orthohantavirus seoulense; dengue virus type 1; dengue virus type 3; Ebola virus - Gabon (1994-1997); Sudan ebolavirus; Ngari virus; Mammarenavirus amapariense; Mammarenavirus mopeiaense; Mammarenavirus tacaribeense; Orthohantavirus hantanense; Orthonairovirus haemorrhagiae; Flaviviridae; Arenaviridae; unidentified; Peribunyaviridae; Mammarenavirus juninense; Mammarenavirus choriomeningitidis; Mammarenavirus guanaritoense; Mammarenavirus lassaense; Mammarenavirus machupoense; Mammarenavirus praomyidis; Orthohantavirus puumalaense; dengue virus type 2; Yellow fever virus; Filoviridae; Omsk hemorrhagic fever virus; California encephalitis virus; Rocio virus; Zaire ebolavirus; Reston ebolavirus; Lake Victoria marburgvirus - Angola2005; Mammarenavirus brazilense; Mammarenavirus ippyense. 110 samples. Type: Other.
A computational algorithm to predict shRNA potency
GEO Series GSE62189. Homo sapiens; Mus musculus; Gallus gallus; synthetic construct. 179 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing; Other.
Highly accurate Skin-Specific methylome analysis algorithm as a platform to screen and validate therapeutics for healthy aging [DS3]
GEO Series GSE151602. Homo sapiens. 6 samples. Type: Methylation profiling by genome tiling array.
Violations detected from social distancing algorithm
<p>Violations detected from social distancing algorithm and corresponding location data. </p>
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.