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219
datasets available to search
ShareScore release 0.9.0
Dataset results
219 results for “epic”
Synchrony and asynchrony between an epigenetic clock and developmental timing [EPIC array]
GEO Series GSE124568. Homo sapiens. 12 samples. Type: Methylation profiling by genome tiling array.
Quantification of global DNA methylation using EPIC array
GEO Series GSE249125. Homo sapiens. 48 samples. Type: Methylation profiling by genome tiling array.
An epigenetic switch controls the expression of an alternative NR2F2 isoform that unleashes a pro-metastatic program in melanoma [EPIC]
GEO Series GSE213390. Homo sapiens. 1 samples. Type: Methylation profiling by array.
EPIC Daily Blue Marble API
This is an API for the Earth Polychromatic Imaging Camera.
DNA methylation of fibroblasts from Cockayne syndrome and UV-sensitivity syndrome patients [EPIC]
GEO Series GSE163840. Homo sapiens. 8 samples. Type: Methylation profiling by genome tiling array.
EPIC analysis of Brazilian babies born with congenital microcephaly
GEO Series GSE145233. Homo sapiens. 45 samples. Type: Methylation profiling by genome tiling array.
A novel Induced-recurrence PDX model recapitulates epi-genomic features of Glioblastoma recurrence [DNA methylation EPIC]
GEO Series GSE271621. Homo sapiens. 45 samples. Type: Methylation profiling by genome tiling array.
Epigenome analyses of HCT116 cells stably expressing UHRF1 mutant [Illumina EPIC]
GEO Series GSE151862. Homo sapiens. 5 samples. Type: Methylation profiling by array.
Epigenome analysis of HDAC1 stably knocked down HCT116 cell [Illumina EPIC]
GEO Series GSE151861. Homo sapiens. 2 samples. Type: Methylation profiling by array.
Uli-Epic: A cutting-edge library construction strategy for profiling ultra-limited RNA modifications [Uli-Epic GLORI]
GEO Series GSE277359. Mus musculus; Homo sapiens. 10 samples. Type: Other.
Characterization of the ZFX family of transcription factors that bind downstream of the start site of CpG island promoters [EPIC array]
GEO Series GSE148960. Homo sapiens. 4 samples. Type: Methylation profiling by genome tiling array.
Genome wide blood DNA methylation measured at birth and age 7 on the EPIC array
GEO Series GSE132181. Homo sapiens. 392 samples. Type: Methylation profiling by genome tiling array.
The brain tumor classifications based on machine learning models trained with older version of methylation microarray chip compatible with the new EPIC v2 illumina’s chip.
GEO Series GSE229715. Homo sapiens. 32 samples. Type: Methylation profiling by genome tiling array.
EPIC-Italy at HuGeF
GEO Series GSE51032. Homo sapiens. 845 samples. Type: Methylation profiling by array.
Creation and Validation of the First Infinium DNA Methylation Array for the Human Imprintome [blood_epic]
GEO Series GSE268070. Homo sapiens. 3 samples. Type: Methylation profiling by genome tiling array.
Uli-Epic: A cutting-edge library construction strategy for profiling ultra-limited RNA modifications [Uli-Epic BID-seq]
GEO Series GSE277358. Homo sapiens; Mus musculus. 22 samples. Type: Other.
Hit-and-run silencing of endogenous DUX4 by targeting DNA hypomethylation on D4Z4 repeats in facioscapulohumeral muscular dystrophy [EPIC Methylation]
GEO Series GSE199690. Homo sapiens. 7 samples. Type: Methylation profiling by genome tiling array.
EPIC-view satellite composites for DSCOVR, Version 1
In DSCOVR_EPIC_L2_composite_01, cloud property retrievals from multiple imagers on low Earth orbit (LEO) satellites (including MODIS, VIIRS, and AVHRR) and geostationary (GEO) satellites (including GOES-13 and -15, METEOSAT-7 and -10, MTSAT-2, and Himawari-8) are used to generate the composite. Based on the Ceres cloud detection and retrieval system, all cloud properties were determined using a standard set of algorithms, the Satellite ClOud and Radiation Property Retrieval System (SatCORPS). Cloud properties from these LEO/GEO imagers are optimally merged together to provide a seamless global composite product at 5-km resolution by using an aggregated rating that considers five parameters (nominal satellite resolution, pixel time relative to the Earth Polychromatic Imaging Camera (EPIC) observation time, viewing zenith angle, distance from day/night terminator, and sun glint factor) and selects the best observation at the time nearest to the EPIC measurements. About 72% of the LEO/GEO satellite overpass times are within one hour of the EPIC measurements, while 92% are within two hours of the EPIC measurements. The global composite data are then remapped into the EPIC Field of View (FOV) by convolving the high-resolution cloud properties with the EPIC point spread function (PSF) defined with a half-pixel accuracy to produce the EPIC composite. PSF-weighted radiances and cloud properties averages are computed separately for each cloud phase. Ancillary data (i.e., surface type, snow and ice map, skin temperature, precipitable water, etc.) needed for anisotropic factor selections are also included in the composite. These composite images are produced for each observation time of the EPIC instrument (typically 300 to 600 composites per month).
DSCOVR EPIC L2 Ozone (O3), Sulfur Dioxide (SO2) Aerosol Index (AI) with Epic L1B V03 Input, Version 2
Robust cloud products are critical for the Deep Space Climate Observatory (DSCOVR) to contribute significantly to climate studies. Building on our team’s track record in cloud detection, cloud property retrieval, oxygen band exploitation, and DSCOVR-related studies, we propose to develop a suite of algorithms for generating the operational Earth Polychromatic Imaging Camera (EPIC) cloud mask, cloud height, and cloud optical thickness products. Multichannel observations will be used for cloud masking; the cloud height will be developed with information from the oxygen A- and B- band pairs (780 nm vs. 779.5 nm and 680 nm vs. 687.75 nm); for the cloud optical thickness retrieval, we propose an approach that combines the EPIC 680 nm observations and numerical weather model outputs. Preliminary results from radiative transfer modeling and proxy data applications show that the proposed algorithms are viable.Product validation will be conducted by comparing EPIC observations/retrievals with counterparts from coexisting Low Earth Orbit (LEO) and Geosynchronous Earth Orbit (GEO) satellites. The proposed work will include a rigorous uncertainty analysis based on theoretical and computational radiative transfer modeling that complements standard validation activities with physics-based diagnostics. We also plan to evaluate and improve the calibration of the EPIC O2 A- and B-band absorption channels by tracking the instrument performance over known targets, such as cloud-free ocean and ice sheet surfaces.The deliverables for the proposed work include an Algorithm Theoretical Basis Document (ATBD) for peer review, products generated with the proposed algorithms, and supporting research articles. The data products, archived at the Atmospheric Science Data Center (ASDC) at the NASA Langley Research Center, will provide essential inputs needed for the community to apply EPIC observations to climate research and better interpret The National Institute of Standards and Technology Advanced Radiometer (NISTAR) observations.The proposed work directly responds to the solicitation to “develop and implement the necessary algorithms and processes to enable various data products from EPIC sunrise to sunset observations once on orbit” and improve “the calibration of EPIC based on in-flight data.”
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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.