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2,952 results for “limb”
TES/Aura L2 O3 Limb Special Observation V006
TL2O3LS_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 O3 Limb Special Observation Version 6 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.
TES/Aura L1B Spectra Limb V005
TL1BL_5 is the Tropospheric Emission Spectrometer (TES)/Aura L1B Spectra Limb Version 5 data product. TES Level 1B Spectra data contaisn radiometric calibrated spectral radiances and their corresponding noise equivalent spectral radiances (NESR). The geolocation, quality and some engineering data were also provided with this data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Each L1B data file contained data from a single TES orbit starting from the South Pole Apex. A Nadir sequence within the TES Global Survey was two low resolution scans over the same ground locations, thus pointing directly to the surface of the earth. The Nadir standard product consisted of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. The Global Survey Limb observations, however, used a repeating sequence of filter wheel positions and were pointed at various off-nadir angles into the atmosphere. Special Observations were only scheduled during the 9 or 10 orbit gaps in the Global Surveys and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement.
Shifts in pigeon limb identity reveal conserved genetic networks
GEO Series GSE127775. Gallus gallus; Columba livia. 96 samples. Type: Expression profiling by high throughput sequencing.
ChIP-seq from limb (ENCSR274ACJ)
GEO Series GSE82562. Mus musculus. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Chromatin state signatures associated with tissue-specific gene expression and enhancer activity in the embryonic limb.
GEO Series GSE30641. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Identifying active cis-regulatory elements during the development of the limbs and external genitalia in the mouse and lizard.
GEO Series GSE64055. Mus musculus; Anolis carolinensis. 21 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Single cell RNA-seq of limb cells from E12.5 WT and Scx-ko mice
GEO Series GSE138929. Mus musculus. 788 samples. Type: Expression profiling by high throughput sequencing.
DBX2 REGULATION IN LIMBS SUGGESTS INTER-TAD SHARING OF ENHANCERS [HiC reanalysis]
GEO Series GSE161378. Mus musculus; Gallus gallus. 0 samples. Type: Other; Third-party reanalysis.
Retinoic acid receptors and the control of positional information in the regenerating axolotl limb
GEO Series GSE182296. Ambystoma mexicanum. 12 samples. Type: Expression profiling by high throughput sequencing.
ChIP-seq from limb (ENCSR244ASF)
GEO Series GSE82529. Mus musculus. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Clustering of tissue-specific sub-TADs accompanies the regulation of HoxA genes in developing limbs
GEO Series GSE52483. Mus musculus. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
ChIP-seq from limb (ENCSR988BRP)
GEO Series GSE83072. Mus musculus. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
HDAC1 binding regions in mouse embryonic limbs
GEO Series GSE141998. Mus musculus. 7 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Gene Expression from diabetic ischemic limbs in WT and p75KO mice
GEO Series GSE34675. Mus musculus. 12 samples. Type: Expression profiling by array.
WGBS from limb (ENCSR254OTS)
GEO Series GSE82541. Mus musculus. 4 samples. Type: Methylation profiling by high throughput sequencing.
Temporal constraints on enhancer usage and enhancer-promoter connectivity shape the regulation of limb gene transcription [Caupture-HiC]
GEO Series GSE262003. Mus musculus. 16 samples. Type: Other.
Whole-genome expression analysis of immortalized murine E10.5 anterior and posterior limb cell lines
GEO Series GSE38370. Mus musculus. 6 samples. Type: Expression profiling by array.
A TAD boundary at the HoxD locus segregates opposing limb regulatory landscapes and their target genes [Hi-C]
GEO Series GSE101715. Mus musculus. 6 samples. Type: Other; Third-party reanalysis.
microRNA counts from limb (ENCSR606IHZ)
GEO Series GSE220387. Mus musculus. 2 samples. Type: Non-coding RNA profiling by array.
DNA-guided transcription factor cooperativity shapes face and limb mesenchyme
GEO Series GSE230319. Mus musculus; Homo sapiens. 379 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
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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)
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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.