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Dataset results
124 results for “chirping”
Sounder SIPS: Sun Synchronous 13:30 orbit Climate Hyperspectral InfraRed Product (CHIRP): Calibrated Radiances from S-NPP, V2 (SNDR13CHRP1SNCal) at GES DISC
The Climate Hyperspectral Infrared Radiance Product (CHIRP) is a Level 1 radiance product derived from Atmospheric Infrared Sounder (AIRS) on EOS-AQUA and the Cross-Track Infrared Sounders (CrIS) on the SNPP and JPSS-1+ platforms. (JPSS-1 is also called NOAA-20). CHIRP provides a consistent spectral response function (SRF) across all instruments. Inter-instrument radiometric offsets are removed with SNPP-CrIS chosen as the "standard". CHIRP follows the original instrument storage, i.e., granule in, granule out, and contains all information needed for retrievals (including cross-track, along-track, fov id, etc.). This version of CHIRP, SNDR13CHRP1SNCal, contains CHIRP data derived from the CrIS instrument on the SNPP platform that is not present in the main CHIRP product, SNDR13CHRP1, and therefore covers the date ranges of November 2, 2015 (when CrIS started producing high-spectral resolution data which is required for CHIRP) through August 31, 2016 when the main CHIRP product, SNDR13CHRP1, switches to using CrIS on JPSS-1.
FLDAS Noah Land Surface Model L4 Global Monthly 0.1 x 0.1 degree (MERRA-2 and CHIRPS) V001 (FLDAS_NOAH01_C_GL_M) at GES DISC
This dataset contains a series of land surface parameters simulated from the Noah 3.6.1 model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS). The data are in 0.10 degree resolution and range from January 1982 to present. The temporal resolution is monthly and the spatial coverage is global (60S, 180W, 90N, 180E). The FLDAS regional monthly datasets will no longer be available and have been superseded by the global monthly dataset. The simulation was forced by a combination of the Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) data and Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) 6-hourly rainfall data that has been downscaled using the NASA Land Data Toolkit.The simulation was initialized on January 1, 1982 using soil moisture and other state fields from a FLDAS/Noah model climatology for that day of the year.In November 2020, all FLDAS data were post-processed with the MOD44W MODIS land mask. Previously, some grid boxes over inland water were considered as over land and, thus, had non-missing values. The post-processing corrected this issue and masked out all model output data over inland water; the post-processing did not affect the meteorological forcing variables. More information on this can be found in the FLDAS README document, and the MOD44W MODIS land mask is available on the FLDAS Project site. If you had downloaded any FLDAS data prior to November 2020, please download the data again to receive the post-processed data.
FLDAS Noah Land Surface Model L4 Global Monthly Climatology 0.1 x 0.1 degree (MERRA-2 and CHIRPS) V001 (FLDAS_NOAH01_C_GL_MC) at GES DISC
The monthly climatology dataset contains a series of land surface parameters simulated from the Noah 3.6.1 model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS). The dataset comprises of 12 monthly files, each representing the monthly data averaged over 35 years from 1982 to 2016, based on the FLDAS Noah Land Surface Model L4 Global Monthly 0.1 x 0.1 degree (MERRA-2 and CHIRPS) V001 (FLDAS_NOAH01_C_GL_M_001) monthly data. The data are in 0.10 degree resolution and the spatial coverage is global (60S, 180W, 90N, 180E). The FLDAS regional monthly climatology datasets will no longer be available and have been superseded by the global monthly climatology dataset. More information about the monthly FLDAS can be found from the dataset landing page for FLDAS_NOAH01_C_GL_M_001 and the FLDAS README document.In November 2020, all FLDAS data were post-processed with the MOD44W MODIS land mask. Previously, some grid boxes over inland water were considered as over land and, thus, had non-missing values. The post-processing corrected this issue and masked out all model output data over inland water; the post-processing did not affect the meteorological forcing variables. More information on this can be found in the FLDAS README document, and the MOD44W MODIS land mask is available on the FLDAS Project site. If you had downloaded any FLDAS data prior to November 2020, please download the data again to receive the post-processed data.
FLDAS Noah Land Surface Model L4 Global Monthly 0.1 x 0.1 degree (GDAS and CHIRPS-PRELIM) V001 (FLDAS_NOAH01_CP_GL_M) at GES DISC
This dataset contains a series of land surface parameters simulated from the Noah 3.6.1 model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS), adapted from Land Information System (LIS7). The dataset contains 28 parameters in a 0.10 degree spatial resolution and from January 2019 to present. The temporal resolution is monthly and the spatial coverage is global (60S, 180W, 90N, 180E). The simulation was forced by a combination of the Global Data Assimilation System (GDAS) data and Climate Hazards Group InfraRed Precipitation with Station Preliminary (CHIRPS-PRELIM) 6-hourly rainfall data that has been downscaled using the NASA Land Data Toolkit, restarted from CHIRPS-FINAL of the previous month. The simulation was initialized on January 1, 2019 using soil moisture and other state fields from a FLDAS/Noah model climatology for that day of the year.
FLDAS Noah Land Surface Model L4 Global Monthly Anomaly 0.1 x 0.1 degree (MERRA-2 and CHIRPS) V001 (FLDAS_NOAH01_C_GL_MA) at GES DISC
The monthly anomaly data set contains a series of land surface parameters simulated from the Noah 3.6.1 model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS). The dataset comprises of monthly files, each representing how the month compares to the 35-year monthly climatology from 1982 to 2016, based on the FLDAS Noah Land Surface Model L4 Global Monthly 0.1 x 0.1 degree (MERRA-2 and CHIRPS) V001 (FLDAS_NOAH01_C_GL_M_001) monthly data. The data are in 0.10 degree resolution and the spatial coverage is global (60S, 180W, 90N, 180E). The FLDAS regional monthly anomaly datasets will no longer be available and have been superseded by the global monthly anomaly dataset. More information about the monthly FLDAS can be found from the dataset landing page for FLDAS_NOAH01_C_GL_M_001 and the FLDAS README document. In November 2020, all FLDAS data were post-processed with the MOD44W MODIS land mask. Previously, some grid boxes over inland water were considered as over land and, thus, had non-missing values. The post-processing corrected this issue and masked out all model output data over inland water; the post-processing did not affect the meteorological forcing variables. More information on this can be found in the FLDAS README document, and the MOD44W MODIS land mask is available on the FLDAS Project site. If you had downloaded any FLDAS data prior to November 2020, please download the data again to receive the post-processed data.
Sounder SIPS: Sun Synchronous 13:30 orbit Climate Hyperspectral InfraRed Product (CHIRP): Calibrated Radiances from EOS-Aqua, S-NPP, JPSS-1/NOAA-20, V2 (SNDR13CHRP1) at GES DISC
The Climate Hyperspectral Infrared Radiance Product (CHIRP) is a Level 1 radiance product derived from Atmospheric Infrared Sounder (AIRS) on EOS-AQUA and the Cross-Track Infrared Sounders (CrIS) on the SNPP and JPSS-1+ platforms. (JPSS-1 is also called NOAA-20). CHIRP provides a consistent spectral response function (SRF) across all instruments. Inter-instrument radiometric offsets are removed with SNPP-CrIS chosen as the "standard". CHIRP follows the original instrument storage, i.e., granule in, granule out, and contains all information needed for retrievals (including cross-track, along-track, fov id, etc.). This version of CHIRP, SNDR13CHRP1, is the primary CHIRP product which provides a full radiance record from 2002 onwards starting with AIRS from September 1, 2002 to August 30, 2016, switching to the SNPP CrIS instrument on September 1, 2016. The SNDR13CHRP1 product then switches to using JPSS-1 CrIS radiances starting September 1, 2018. This selection of time periods provides the best match to times when the microwave sounders on each of these platforms exhibited good performance and avoids long outages (such as SNPP CrIS in early Spring 2019). CHIRP is available for AIRS, CrIS-SNPP, and CrIS-JPSS-1 for time periods not used in the product distributed here, and are named SNDR13CHRP1AQCal, SNDR13CHRP1SNCal, and SNDR13CHRP1J1Cal respectively.
Identification of Malat1-chromatin interaction by ChIRP-seq
GEO Series GSE183596. Mus musculus. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Next Generation Sequencing Facilitates Quantitative Analysis of RNAs bound by DDX5 and RORgt in cultured T helper 17 cell [ChIRP-Seq]
GEO Series GSE73912. Mus musculus. 9 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
The super-enhancer derived alncRNA-EC7/Bloodlinc potentiates red blood cell development in trans (ChIRP-seq)
GEO Series GSE97119. Mus musculus. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
LncRNA-dependent mechanisms of androgen receptor-regulated gene activation programs [ChIRP-seq]
GEO Series GSE47804. Homo sapiens. 2 samples. Type: Other.
Downregulation of hepatic lncRNA Gm19619 improves gluconeogenesis and lipogenesis following vertical sleeve gastrectomy in mice [ChIRP-Seq]
GEO Series GSE218905. Mus musculus. 2 samples. Type: Other.
LncRNA CHROMR regulates antiviral immunity in humans [ChIRP-Seq]
GEO Series GSE198808. Homo sapiens. 9 samples. Type: Other.
Mouse Hotchon ChIRP-seq
GEO Series GSE70986. Mus musculus. 6 samples. Type: Other.
ChIRP-MS RNA-seq during SARS-CoV-2 infection
GEO Series GSE167336. Chlorocebus sabaeus; Homo sapiens. 35 samples. Type: Expression profiling by high throughput sequencing.
Profiling of CD14+ monocytes from humans with Type diabetes and without diabetes [CHIRP-seq]
GEO Series GSE156121. Homo sapiens. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Genome-wide analysis of TERC occupancy in MRC5 fibroblast cells by ChIRP-seq
GEO Series GSE183642. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Implication of Repeat Insertion Domains in the Trans-Activity of the Long non-coding RNA ANRIL [ChIRP-seq]
GEO Series GSE162221. Homo sapiens. 10 samples. Type: Other.
KCNQOT1 ChIRP seq and perturbation epigentic profiles [Mouse eCLIP]
GEO Series GSE208016. Mus musculus. 2 samples. Type: Other.
Chromatin associated α-satellite RNA maintains chromosome stability by re-establishing SAF-A in the mitotic cell cycle [ChIRP-seq]
GEO Series GSE270307. Homo sapiens. 8 samples. Type: Other.
KCNQOT1 ChIRP seq and perturbation epigentic profiles [ChIRP]
GEO Series GSE208012. Homo sapiens. 3 samples. Type: Other.
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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.