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9,302 results for “DETECT”
MGMT promoter methylation and IDH mutation detected in 301 patients with GBM
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What is our power to detect device effects in animal tracking studies?
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miRNA signature detection and countermeasures against HZE radiation exposure for tissue degeneration-Plasma
Biological risks associated with space radiation and microgravity are major concerns for long-term space travel. Through a Systems Biology approach our previous NASA work has shown both TGF xce xb2 signaling pathways and miRNAs have a critical impact on defining health risks with and without space irradiation. We hypothesize that circulating microRNA (miRNA) signatures are driving microvascular disease and muscle degeneration associated with accelerating aging and will be enhanced by exposure to the space environment (radiation and microgravity). We investigated this hypothesis both in vivo and in vitro and test novel antagonist therapies to these miRNA signatures as countermeasures to reduce space radiation-induced health risks. A comprehensive Systems Biology approach was used to examine the influence by high atomic number by high (H) atomic number (Z) and energy (E) (HZE) irradiation. To simulate low-dose exposure due to galactic cosmic rays (GCR) we used the ions energy and doses determined by a NASA consensus formula of 7 different ions to represent GCR (referred to as GCR sim model). To simulate high-dose radiation exposure due to solar particle events (SPE) we used an acute dose of SPE simulated beam at 1Gy which has energies ranging from 50MeV to 150MeV. C57BL/6 wild-type mice were utilized for irradiation with our established simulated microgravity model (hindlimb suspension model) and an in vitro 3D microvasculature tissue model under simulated microgravity (clinostat) conditions will also be irradiated. To expand on the circulating miRNA signature determined from our preliminary data we determined a group of conserved miRNAs which are commonly being regulated in the majority of the organs and tissues throughout the host using our established techniques. MiRNA-sequencing on serum (before IR and at time of sacrifice) liver heart and muscle tissue for all radiation groups revealed the key circulating miRNA signature (consisting of multiple miRNAs) impacting disease risk. Collectively understanding of how whole body space radiation impacts microvascular and tissue degeneration through circulating miRNAs will greatly enhance health risk prognostication and provide possible new mechanisms for protection against space radiation.
LBA-ECO LC-22 Field Validation of MODIS Deforestation Detection, Brazil, 2005
This data set contains field observations, corresponding GPS points, and point and polygons of deforested areas in the state of Mato Grosso, Brazil, for the period March 17-24,2005. Fieldwork was conducted in the regions surrounding Sinop, Mato Grosso, with specific emphasis on large clearings occurring in the Xingu Basin. The field campaign was designed to validate preliminary MODIS deforestation products designed to detect deforestation during the wet season. There are five data files with this data set: four shapefiles (.shp) and one comma-separated file (.csv).
LBA-ECO LC-22 Field Validation of MODIS Deforestation Detection, Brazil, 2003-2004
This data set contains field observations, corresponding GPS points, and point and polygons of deforested areas in the state of Mato Grosso, Brazil, for the period August 2003 to July 2004. The field observations were conducted in the forested areas between Nova Mutum and Sinop, MT. These data were part of a study to validate Moderate Resolution Imaging Spectroradiometer (MODIS) data at 250-m resolution for the detection of deforested areas.There are 16 data files with this data set. This includes 10 shapefile (.shp) and six comma-separated files (.csv).
MERRA-2 statM_2d_edi_Nx: 2d, Single-Level, Monthly Extremes Detection Indices based on 1991-2020 V2 (M2SMNXEDI) at GES DISC
M2SMNXEDI (or statM_2d_edi_Nx) is a 2-dimensional monthly data collection for extreme detection indices derived from daily Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets within each month. V2 of this extreme detection indices data collection is computed based on the 1991-2020 climatology, covering the time period from January 1980 to present. In contrast, V1, the original version, is computed based on an earlier 30-year climatology (1981-2010). This collection consists of indices used to identify or characterize extreme weather events associated with temperature, such as heatwaves and cold spells (e.g., their frequency, duration, and intensity), as well as events associated with precipitation, such as dry days and wet days (e.g., their frequency, duration, and intensity).MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month.Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes”, linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original filename.MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list.Questions: If you have a question, please read the "MERRA-2 File Specification Document'', “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page for more information. If these documents do not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
Potential Areas of Gas Seepage Detected by SAR in Lakes near Fairbanks, Alaska
This dataset includes maps and locations of potential gas seepage in lakes within the immediate and surrounding area around Fairbanks, Alaska, a region underlain by discontinuous permafrost and characterized by thermokarst lake formation. Gas bubbling from lakes in the Fairbanks area is usually rich in methane, a potent greenhouse gas that is difficult to quantify. A new remote sensing method was used for detecting potential gas seepage, defined as areas of suspected perennial ebullition, by using a previously ground-truthed seep that appeared as a high-backscatter perennial feature in winter L-band Synthetic Aperture Radar (SAR) data from 2006-2011. Based on threshold values determined by the sigma-naught backscatter of this training seep, 1,690 areas of potential seepage were detected in 459 lakes out of 658 lakes analyzed. Results were validated through a different ground-truthed seep. The data are provided in shapefile format.
miRNA signature detection and countermeasures against HZE radiation exposure for tissue degeneration-Liver tissue
Biological risks associated with space radiation and microgravity are major concerns for long-term space travel. Through a Systems Biology approach our previous NASA work has shown both TGF xce xb2 signaling pathways and miRNAs have a critical impact on defining health risks with and without space irradiation. We hypothesize that circulating microRNA (miRNA) signatures are driving microvascular disease and muscle degeneration associated with accelerating aging and will be enhanced by exposure to the space environment (radiation and microgravity). We investigated this hypothesis both in vivo and in vitro and test novel antagonist therapies to these miRNA signatures as countermeasures to reduce space radiation-induced health risks. A comprehensive Systems Biology approach was used to examine the influence by high atomic number by high (H) atomic number (Z) and energy (E) (HZE) irradiation. To simulate low-dose exposure due to galactic cosmic rays (GCR) we used the ions energy and doses determined by a NASA consensus formula of 7 different ions to represent GCR (referred to as GCR sim model). To simulate high-dose radiation exposure due to solar particle events (SPE) we used an acute dose of SPE simulated beam at 1Gy which has energies ranging from 50MeV to 150MeV. C57BL/6 wild-type mice were utilized for irradiation with our established simulated microgravity model (hindlimb suspension model) and an in vitro 3D microvasculature tissue model under simulated microgravity (clinostat) conditions will also be irradiated. To expand on the circulating miRNA signature determined from our preliminary data we determined a group of conserved miRNAs which are commonly being regulated in the majority of the organs and tissues throughout the host using our established techniques. MiRNA-sequencing on serum (before IR and at time of sacrifice) liver heart and muscle tissue for all radiation groups revealed the key circulating miRNA signature (consisting of multiple miRNAs) impacting disease risk. Collectively understanding of how whole body space radiation impacts microvascular and tissue degeneration through circulating miRNAs will greatly enhance health risk prognostication and provide possible new mechanisms for protection against space radiation.
miRNA signature detection and countermeasures against HZE radiation exposure for tissue degeneration-Heart tissue
Biological risks associated with space radiation and microgravity are major concerns for long-term space travel. Through a Systems Biology approach our previous NASA work has shown both TGF xce xb2 signaling pathways and miRNAs have a critical impact on defining health risks with and without space irradiation. We hypothesize that circulating microRNA (miRNA) signatures are driving microvascular disease and muscle degeneration associated with accelerating aging and will be enhanced by exposure to the space environment (radiation and microgravity). We investigated this hypothesis both in vivo and in vitro and test novel antagonist therapies to these miRNA signatures as countermeasures to reduce space radiation-induced health risks. A comprehensive Systems Biology approach was used to examine the influence by high atomic number by high (H) atomic number (Z) and energy (E) (HZE) irradiation. To simulate low-dose exposure due to galactic cosmic rays (GCR) we used the ions energy and doses determined by a NASA consensus formula of 7 different ions to represent GCR (referred to as GCR sim model). To simulate high-dose radiation exposure due to solar particle events (SPE) we used an acute dose of SPE simulated beam at 1Gy which has energies ranging from 50MeV to 150MeV. C57BL/6 wild-type mice were utilized for irradiation with our established simulated microgravity model (hindlimb suspension model) and an in vitro 3D microvasculature tissue model under simulated microgravity (clinostat) conditions will also be irradiated. To expand on the circulating miRNA signature determined from our preliminary data we determined a group of conserved miRNAs which are commonly being regulated in the majority of the organs and tissues throughout the host using our established techniques. MiRNA-sequencing on serum (before IR and at time of sacrifice) liver heart and muscle tissue for all radiation groups revealed the key circulating miRNA signature (consisting of multiple miRNAs) impacting disease risk. Collectively understanding of how whole body space radiation impacts microvascular and tissue degeneration through circulating miRNAs will greatly enhance health risk prognostication and provide possible new mechanisms for protection against space radiation.
MERRA-2 statM_2d_edi_Nx: 2d, Single-Level, Monthly Extremes Detection Indices V1 (M2SMNXEDI) at GES DISC
M2SMNXEDI (or statM_2d_edi_Nx) is a 2-dimensional monthly data collection for extreme detection indices derived from daily Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets within each month. V1, the original version of this extreme detection indices data collection, is computed based on the 1981-2010 climatology, covering the period from January 1980 to December 2022. In contrast, V2, the second version, is calculated based on a 30-year climatology (1991-2020), covering the period from January 1980 to the present. This collection consists of indices used to identify or characterize extreme weather events associated with temperature, such as heatwaves and cold spells (e.g., their frequency, duration, and intensity), as well as events associated with precipitation, such as dry days and wet days (e.g., their frequency, duration, and intensity).MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month.Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes”, linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original filename.MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list.Questions: If you have a question, please read the "MERRA-2 File Specification Document'', “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page for more information. If these documents do not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
LBA-ECO LC-35 GOES Imager Active Fire Detection Data, South America: 2000-2005
This data set is an active fire detection product resulting from the application of The Wildfire Automated Biomass Burning Algorithm (WF_ABBA) to Geostationary Environmental Operational Satellite (GOES) imager data for all of South America from 2000 through 2005. GOES imager data are available at 30 minute intervals with a nominal 4 x 4-km resolution. The data provided are the latitude/longitude, brightness temperature, estimates of sub-pixel fire size and temperature, Global Land Cover Characterization (GLCC) ecosystem type, and a pixel-fire flag (0-5, information regarding the probability of a fire or processing characteristics) for each active fire detected by WF_ABBA for a 30 minute imager interval. Spatial area coverage data files are provided as a complement to individual fire detection data files because the area of the latter varied according to the GOES imager scan mode in use. Versions 5.9 and 6.0 WF_ABBA data are provided. Differences between the two versions are assumed to be small though (typically less than 10%). An in-line temporal filter has been added to the algorithm to screen out false alarms associated with noise in the imagery and cloud edge issues in version 6.0. This is especially important for screening false alarms due to reflection off clouds at extreme view angles and at sunrise and sunset.There are nine compressed (*.zip) files with this data set which expand to the filtered ASCII text data files (.filt), and seven coverage files text (.txt).
miRNA signature detection and countermeasures against HZE radiation exposure for tissue degeneration-Soleus muscle
Biological risks associated with space radiation and microgravity are major concerns for long-term space travel. Through a Systems Biology approach our previous NASA work has shown both TGF xce xb2 signaling pathways and miRNAs have a critical impact on defining health risks with and without space irradiation. We hypothesize that circulating microRNA (miRNA) signatures are driving microvascular disease and muscle degeneration associated with accelerating aging and will be enhanced by exposure to the space environment (radiation and microgravity). We investigated this hypothesis both in vivo and in vitro and test novel antagonist therapies to these miRNA signatures as countermeasures to reduce space radiation-induced health risks. A comprehensive Systems Biology approach was used to examine the influence by high atomic number by high (H) atomic number (Z) and energy (E) (HZE) irradiation. To simulate low-dose exposure due to galactic cosmic rays (GCR) we used the ions energy and doses determined by a NASA consensus formula of 7 different ions to represent GCR (referred to as GCR sim model). To simulate high-dose radiation exposure due to solar particle events (SPE) we used an acute dose of SPE simulated beam at 1Gy which has energies ranging from 50MeV to 150MeV. C57BL/6 wild-type mice were utilized for irradiation with our established simulated microgravity model (hindlimb suspension model) and an in vitro 3D microvasculature tissue model under simulated microgravity (clinostat) conditions will also be irradiated. To expand on the circulating miRNA signature determined from our preliminary data we determined a group of conserved miRNAs which are commonly being regulated in the majority of the organs and tissues throughout the host using our established techniques. MiRNA-sequencing on serum (before IR and at time of sacrifice) liver heart and muscle tissue for all radiation groups revealed the key circulating miRNA signature (consisting of multiple miRNAs) impacting disease risk. Collectively understanding of how whole body space radiation impacts microvascular and tissue degeneration through circulating miRNAs will greatly enhance health risk prognostication and provide possible new mechanisms for protection against space radiation.
A Multiplexed, Next-Generation Sequencing Platform for High-Throughput Detection of SARS-CoV-2 [pilot cohort]
GEO Series GSE160033. synthetic RNA; synthetic construct; Homo sapiens. 862 samples. Type: Other.
NanoString nCounter Cancer CN panel assay CNV detection of high-grade serous carcinoma samples
GEO Series GSE244329. Homo sapiens. 26 samples. Type: Genome variation profiling by genome tiling array.
Total RNA-sequencing Detects Transcriptomic Differences in Mouse Preosteoblast Response to Bulk Nanostructured Titanium.
GEO Series GSE123282. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Plasma DNA Methylation-Based Biomarkers for MPNST Detection in Patients With Neurofibromatosis Type 1
GEO Series GSE282216. Homo sapiens. 43 samples. Type: Methylation profiling by array.
Detection of novel fusion transcriptVTI1A-CFAP46 in HHC by RNA-seq
GEO Series GSE105090. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing; Other.
Prospective comparison of genome-wide aCGH platforms for the detection of CNVs in MR (NimbleGen)
GEO Series GSE27251. Homo sapiens. 60 samples. Type: Genome variation profiling by genome tiling array.
Chromosomal microarray data for validation of copy-number variants detection from a low-coverage whole-genome sequencing approach in clinical samples
GEO Series GSE73191. Homo sapiens. 72 samples. Type: Genome variation profiling by array; Genome variation profiling by SNP array; SNP genotyping by SNP array.
Evaluation of DNA array sensitivity to detect viruses in clinical samples following propidium monoazide treatment
GEO Series GSE62910. Sus scrofa; Viruses. 80 samples. Type: Other.
ScienceDex guides
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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.