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734
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Dataset results
734 results for “IP”
Modeling of lung phenotype of Hermansky-Pudlak syndrome type I using patient-specific iPS cells (SPC positive cells)
GEO Series GSE179898. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
A family of C. elegans VASA homologs control Argonaute pathway specificity and promote transgenerational silencing [IP small-RNA seq]
GEO Series GSE198101. Caenorhabditis elegans. 31 samples. Type: Other.
8-oxoG RNA IP data set 2: Air pollution mixture derived from the reaction of 100 ppb acrolein, 97 ppb methacrolein, 44 ppb alpha-pinene and 100 ppb O3 for 1.5 h
GEO Series GSE137017. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing; Other.
Single-Cell Transcriptomics Reveals the Molecular Basis of Human iPS Cell Differentiation into Ectodermal Ocular Lineages
GEO Series GSE263987. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
C/EBPα poises B cells for rapid reprogramming into iPS cells [RNA-Seq]
GEO Series GSE52396. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Human corneal endothelial cells, iPS cells, CECSi cells, and neural crest cells
GEO Series GSE178434. Homo sapiens. 11 samples. Type: Expression profiling by array.
Mapping replication domains using the Ion Torrent semiconductor sequencing platform [BrdU-IP]
GEO Series GSE115847. Mus musculus. 2 samples. Type: Other.
Modeling Cellular Crosstalk and Organotypic Vasculature Development with Human iPSC-Derived Endothelial Cells (iPS-EC) and Cardiomyocytes (iPS-CM) [scRNA-seq]
GEO Series GSE150741. Homo sapiens. 7 samples. Type: Expression profiling by high throughput sequencing.
scRNA-Seq of iPS cells derived multicellular human liver organoids; RNA-Seq of multicellular human liver organoids derived from 3 different iPS cells
GEO Series GSE130075. Homo sapiens. 5 samples. Type: Expression profiling by high throughput sequencing.
VIIRS/JPSS2 Day/Night Band Resolution Terrain Corrected Geolocation 6-Min L1 Swath IP 750m NRT
The Near Real Time (NRT) VIIRS/JPSS2 Day/Night Band Resolution Terrain Corrected Geolocation 6-Min L1 Swath 750m, short-name VJ203DNB_NRT is the Joint Polar-orbiting Satellite System-2 (JPSS-2/NOAA-21) platform-based NASA VIIRS L1 terrain-corrected geolocation product, and contains the derived line-of-sight (LOS) vectors for the single panchromatic Day-Night band (DNB). The geolocation algorithm uses a number of inputs that include an Earth ellipsoid, geoid, and a digital terrain model along with the SNPP platform's ephemeris and attitude data, and knowledge of the VIIRS sensor and satellite geometry. It provides geodetic coordinates (latitude and longitude), and related parameters for each VIIRS L1 pixel. The VJ203DNB product includes geodetic latitude, longitude, surface height above the geoid, solar zenith and azimuth angles, lunar zenith and azimuth angles, sensor zenith and azimuth angles, land/water mask, moon illumination fraction and phase angle, and quality flag for every pixel location.The J2 VIIRS geolocation underwent an on-orbit validation. Geolocation errors of about 350 m in the along-scan direction and about 165 m in the along-track direction were corrected for the image-resolution bands and moderate-resolution bands. The Day-Night band (DNB) geolocation error of about 2000 m was corrected. Further, the geolocation biases in the scan profile were also corrected. All these corrections bring the geolocation uncertainties for the J2 L1 products to within 75 m (1-sigma) in both the along-scan and along-track directions.VIIRS Level-1B Geolocation ATBD https://ladsweb.modaps.eosdis.nasa.gov/internal/deploy/web-stage/ladsweb/api/v2/content/archives/Document%20Archive/Science%20Data%20Product%20Documentation/Product%20Generation%20Algorithms/NASARevisedVIIRSGeolocationATBD2014.pdf
VIIRS/NPP On Board Calibrator (OBC) IP NRT
The VIIRS Level 1 and Level 2 swath products are generated from the processing of 6 minutes of VIIRS data acquired during the NPP satellite overpass. The VIIRS sensor has 5 high-resolution imagery channels (I-bands) that have 32 detectors (32 rows of pixels per scan), with twice the resolution of the M-bands and the DNB, that span the wavelengths from 0.640 µm to 11.45 µm.The VIIRS on-board calibrator and engineering data product is referred to by it's shortname, VNP02OBC. The VIIRS On Board Calibrator IP file contains space view, solar diffuser, on-board calibrator blackbody (OBCBB) view observations, the associated gain state and HAM side information, and all engineering and housekeeping data, including unscaled data from the Solar Diffuser Stability Monitor (SDSM)/VIIRS Earth View Radiometric Calibration Unit and the Solar Diffuser GEO angles.For additional information, see the Operational Algorithm Description (OAD) Document for the L1B product (http://npp.gsfc.nasa.gov/sciencedocs/2015-08/474-00090_OAD-VIIRS-CAL-GEO-SDR_H.pdf). The document describes how VIIRS operates in space and provides the equations implemented by the L1B software to generate the MODIS Level 1 intermediate products. It is a summary document the presents the formulae and error budges used to transform VIIRS digital counts to radiance and reflectance.file_naming_convention = VNP02OBC.AYYYYDDD.HHMM.CCC.nc AYYYYDDD = Acquisition Year and Day of Year HHMM = Hour and minute of acquisition CCC = Collection number nc = NetCDF5
VIIRS/JPSS2 Imagery Resolution Terrain Corrected Geolocation 6-Min L1 Swath IP 375m NRT
The Near Real Time (NRT) VIIRS/JPSS2 Imagery Resolution Terrain Corrected Geolocation 6-Min L1 Swath, short-name VJ203IMG_NRT is the Joint Polar-orbiting Satellite System-2 (JPSS-2/NOAA-21) platform-derived NASA VIIRS L1 terrain-corrected geolocation product and contains the derived line-of-sight (LOS) vectors for each of the 375-m image-resolution or I-bands. The geolocation algorithm uses a number of inputs that include an Earth ellipsoid, geoid, and a digital terrain model along with the SNPP platform's ephemeris and attitude data, and knowledge of the VIIRS sensor and satellite geometry. It produces geodetic coordinates (latitude and longitude), and related parameters for each VIIRS L1 pixel. The VJ203IMG product includes geodetic latitude, longitude, surface height above the geoid, solar zenith and azimuth angles, sensor zenith and azimuth angles, land/water mask, and quality flag for every pixel location. VJ203IMG provides a fundamental input to derive a number of VIIRS I-band higher-level products.The J2 VIIRS geolocation underwent an on-orbit validation. Geolocation errors of about 350 m in the along-scan direction and about 165 m in the along-track direction were corrected for the image-resolution bands and moderate-resolution bands. The Day-Night band (DNB) geolocation error of about 2000 m was corrected. Further, the geolocation biases in the scan profile were also corrected. All these corrections bring the geolocation uncertainties for the J2 L1 products to within 75 m (1-sigma) in both the along-scan and along-track directions.
VIIRS/JPSS2 Dual Gain IP NRT
The Near Real Time (NRT) VIIRS/JPSS2 Moderate-Resolution Dual Gain Bands Calibrated Radiance 6-Min L1B Swath 750m product (VJ202GDC_NRT) contains unaggregated, calibrated TOA radiances for those VIIRS sub-pixel samples that are aggregated along-scan during post-calibration ground processing. In other words, this file contains the calibrated M1 – M5, M7 and M13 dual gain band data from the nadir and near-nadir zones that would otherwise be discarded following post-calibration aggregation/Earth View Radiometric Calibration Unit.The Level-1 and Level-2 swath products are generated from the processing of 6 minutes of VIIRS data acquired during theJPSS-2/NOAA-21 satellite overpass. The VIIRS sensor has 5 high-resolution imagery channels (I-bands) that have 32 detectors (32 rows of pixels per scan), with twice the resolution of the M-bands and the DNB, that span the wavelengths from 0.640 µm to 11.45 µm. There are also 7 dual-gain VIIRS bands. The dual gain moderate resolution bands (M1 to M5, M7 and M13) have 6304 samples and the other moderate resolution bands have 3200.For additional information, see the Operational Algorithm Description (OAD) Document for the L1B product at http://npp.gsfc.nasa.gov/sciencedocs/2015-08/474-00090_OAD-VIIRS-CAL-GEO-SDR_H.pdf. The document describes how VIIRS operates in space and provides the equations implemented by the L1B software to generate the MODIS Level-1 intermediate products. It is a summary document that presents the formulae and error budges used to transform VIIRS digital counts to radiance and reflectance.
VIIRS/JPSS2 Moderate Resolution Terrain Corrected Geolocation 6-Min L1 Swath IP 750m NRT
The Near Real Time (NRT) VIIRS/JPSS2 Moderate Resolution Terrain Corrected Geolocation 6-Min L1 Swath, short-name VJ203MOD_NRT) is the Joint Polar-orbiting Satellite System-2 (JPSS-2/NOAA-21) platform-based NASA VIIRS L1 terrain-corrected geolocation product, and contains the derived line-of-sight (LOS) vectors for each of the 750-m moderate-resolution, or M-bands. The geolocation algorithm uses a number of inputs that include an Earth ellipsoid, geoid, and a digital terrain model along with the SNPP platform's ephemeris and attitude data, and knowledge of the VIIRS sensor and satellite geometry. It produces geodetic coordinates (latitude and longitude), and related parameters for each VIIRS L1 pixel. The VJ203MOD product includes geodetic latitude, longitude, surface height above the geoid, solar zenith and azimuth angles, sensor zenith and azimuth angles, land/water mask, and quality flag for every pixel location. VJ203MOD provides a fundamental input to derive a number of VIIRS M-band higher-level products.The J2 VIIRS geolocation underwent an on-orbit validation. Geolocation errors of about 350 m in the along-scan direction and about 165 m in the along-track direction were corrected for the image-resolution bands and moderate-resolution bands. The Day-Night band (DNB) geolocation error of about 2000 m was corrected. Further, the geolocation biases in the scan profile were also corrected. All these corrections bring the geolocation uncertainties for the J2 L1 products to within 75 m (1-sigma) in both the along-scan and along-track directions.
PCGF6, a polycomb group protein, regulates mesodermal lineage differentiation in murine ES cells and functions in iPS reprogramming
GEO Series GSE56126. Mus musculus. 6 samples. Type: Expression profiling by array.
RNA sequencing of undifferentiated iPS cells after culturing under graded zinc concentrations
GEO Series GSE152017. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
Target RNAs of Samd4 identified by RNA IP in mouse osteoblasts
GEO Series GSE90818. Mus musculus. 5 samples. Type: Other.
REST and Neural Gene Network Dysregulation in iPS Cell Models of Alzheimer’s Disease (Affymetrix NPC data set)
GEO Series GSE117586. Homo sapiens. 10 samples. Type: Expression profiling by array.
AIN-2::GFP IP of mRNAs associated with miRISC in stage sychronized C. elegans populations
GEO Series GSE16208. Caenorhabditis elegans. 36 samples. Type: Other; Expression profiling by array.
Expression data from human keratinocyte and PBMC-derived iPS cells
GEO Series GSE33536. Homo sapiens. 9 samples. Type: Expression profiling by array.
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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.