Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
757
datasets available to search
ShareScore release 0.9.0
Dataset results
757 results for “twinning”
FIREX-AQ NOAA-MET Twin Otter Data
FIREXAQ_N46_Data are the wind profile and fire temperature data collected onboard the NOAA-MET Twin Otter during FIREX-AQ. This product includes data collected by the Nighttime Fire Observations eXperiment (NightFOX) UAS and wind lidar. Data collection for this product is complete. This data was collected by the NOAA Chemical Sciences Laboratory (CSL).Completed during summer 2019, FIREX-AQ utilized a combination of instrumented airplanes, satellites, and ground-based instrumentation. Detailed fire plume sampling was carried out by the NASA DC-8 aircraft, which had a comprehensive instrument payload capable of measuring over 200 trace gas species, as well as aerosol microphysical, optical, and chemical properties. The DC-8 aircraft completed 23 science flights, including 15 flights from Boise, Idaho and 8 flights from Salina, Kansas. NASA’s ER-2 completed 11 flights, partially in support of the FIREX-AQ effort. The ER-2 payload was made up of 8 satellite analog instruments and provided critical fire information, including fire temperature, fire plume heights, and vegetation/soil albedo information. NOAA provided the NOAA-CHEM Twin Otter and the NOAA-MET Twin Otter aircraft to measure chemical processing in the lofted plumes of Western wildfires. The NOAA-CHEM Twin Otter focused on nighttime plume chemistry, from which data is archived at the NASA Atmospheric Science Data Center (ASDC). The NOAA-MET Twin Otter collected measurements of air movements at fire boundaries with the goal of understanding the local weather impacts of fires and the movement patterns of fires. Additionally, a ground-based station in McCall, Idaho and several mobile laboratories provided in-situ measurements of aerosol microphysical and optical properties, aerosol chemical compositions, and trace gas species. The Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ) campaign was a NOAA/NASA interagency intensive study of North American fires to gain an understanding on the integrated impact of the fire emissions on the tropospheric chemistry and composition and to assess the satellite’s capability for detecting fires and estimating fire emissions. The overarching goal of FIREX-AQ was to provide measurements of trace gas and aerosol emissions for wildfires and prescribed fires in great detail, relate them to fuel and fire conditions at the point of emission, characterize the conditions relating to plume rise, and follow plumes downwind to understand chemical transformation and air quality impacts.
FIREX-AQ NOAA-CHEM Twin Otter Analysis Data
FIREXAQ_Analysis_N48_Data are supplementary smoke age data collected during FIREX-AQ. This product is derived from a variety of models, including the NAM, GFS, and HRRR and corresponds to the NOAA-CHEM Twin Otter. Data collection for this product is complete. Completed during summer 2019, FIREX-AQ utilized a combination of instrumented airplanes, satellites, and ground-based instrumentation. Detailed fire plume sampling was carried out by the NASA DC-8 aircraft, which had a comprehensive instrument payload capable of measuring over 200 trace gas species, as well as aerosol microphysical, optical, and chemical properties. The DC-8 aircraft completed 23 science flights, including 15 flights from Boise, Idaho and 8 flights from Salina, Kansas. NASA’s ER-2 completed 11 flights, partially in support of the FIREX-AQ effort. The ER-2 payload was made up of 8 satellite analog instruments and provided critical fire information, including fire temperature, fire plume heights, and vegetation/soil albedo information. NOAA provided the NOAA-CHEM Twin Otter and the NOAA-MET Twin Otter aircraft to measure chemical processing in the lofted plumes of Western wildfires. The NOAA-CHEM Twin Otter focused on nighttime plume chemistry, from which data is archived at the NASA Atmospheric Science Data Center (ASDC). The NOAA-MET Twin Otter collected measurements of air movements at fire boundaries with the goal of understanding the local weather impacts of fires and the movement patterns of fires. NOAA-MET Twin Otter data will be archived at the ASDC in the future. Additionally, a ground-based station in McCall, Idaho and several mobile laboratories provided in-situ measurements of aerosol microphysical and optical properties, aerosol chemical compositions, and trace gas species. The Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ) campaign was a NOAA/NASA interagency intensive study of North American fires to gain an understanding on the integrated impact of the fire emissions on the tropospheric chemistry and composition and to assess the satellite’s capability for detecting fires and estimating fire emissions. The overarching goal of FIREX-AQ was to provide measurements of trace gas and aerosol emissions for wildfires and prescribed fires in great detail, relate them to fuel and fire conditions at the point of emission, characterize the conditions relating to plume rise, and follow plumes downwind to understand chemical transformation and air quality impacts.
FIREX-AQ NOAA-CHEM Twin Otter In Situ Aerosol Data
FIREXAQ_Aerosol_AircraftInSitu_N48_Data are in situ aerosol data collected onboard the NOAA-CHEM Twin Otter during FIREX-AQ. This product includes data collected by the UHSAS, AMS, CLAP, and PILS instruments. Data collection for this product is complete.Completed during summer 2019, FIREX-AQ utilized a combination of instrumented airplanes, satellites, and ground-based instrumentation. Detailed fire plume sampling was carried out by the NASA DC-8 aircraft, which had a comprehensive instrument payload capable of measuring over 200 trace gas species, as well as aerosol microphysical, optical, and chemical properties. The DC-8 aircraft completed 23 science flights, including 15 flights from Boise, Idaho and 8 flights from Salina, Kansas. NASA’s ER-2 completed 11 flights, partially in support of the FIREX-AQ effort. The ER-2 payload was made up of 8 satellite analog instruments and provided critical fire information, including fire temperature, fire plume heights, and vegetation/soil albedo information. NOAA provided the NOAA-CHEM Twin Otter and the NOAA-MET Twin Otter aircraft to measure chemical processing in the lofted plumes of Western wildfires. The NOAA-CHEM Twin Otter focused on nighttime plume chemistry, from which data is archived at the NASA Atmospheric Science Data Center (ASDC). The NOAA-MET Twin Otter collected measurements of air movements at fire boundaries with the goal of understanding the local weather impacts of fires and the movement patterns of fires. NOAA-MET Twin Otter data will be archived at the ASDC in the future. Additionally, a ground-based station in McCall, Idaho and several mobile laboratories provided in-situ measurements of aerosol microphysical and optical properties, aerosol chemical compositions, and trace gas species. The Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ) campaign was a NOAA/NASA interagency intensive study of North American fires to gain an understanding on the integrated impact of the fire emissions on the tropospheric chemistry and composition and to assess the satellite’s capability for detecting fires and estimating fire emissions. The overarching goal of FIREX-AQ was to provide measurements of trace gas and aerosol emissions for wildfires and prescribed fires in great detail, relate them to fuel and fire conditions at the point of emission, characterize the conditions relating to plume rise, and follow plumes downwind to understand chemical transformation and air quality impacts.
Global gene expression analysis of amniotic fluid cell-free RNA from recipient twins with twin-twin transfusion syndrome [Set 2]
GEO Series GSE47393. Homo sapiens. 10 samples. Type: Expression profiling by array.
The alteration of DNA methylation driven by HIV infection based on a pair of monozygotic twins (MeDIP-chip)
GEO Series GSE68028. Homo sapiens. 1 samples. Type: Methylation profiling by genome tiling array.
Multidimensional Analysis of Twin Sets During an Intensive Week-Long Meditation Retreat: A Pilot Study
GEO Series GSE252632. Homo sapiens. 47 samples. Type: Expression profiling by high throughput sequencing.
High-specificity bioinformatics framework for epigenomic profiling of discordant twins reveals specific and shared markers for ACPA and ACPA-positive rheumatoid arthritis.
GEO Series GSE72582. Homo sapiens. 24 samples. Type: Methylation profiling by genome tiling array.
Gene expression profile of subcutaneous adipose tissue in BMI-discordant monozygotic twin pairs in obesity
GEO Series GSE92405. Homo sapiens. 52 samples. Type: Expression profiling by array.
Expression profiling in monozygotic twins discordant for bipolar disorder
GEO Series GSE7036. Homo sapiens. 6 samples. Type: Expression profiling by array.
Gene expression profile in CD4+ and CD8+ T cells from identical twins discordant for Multiple sclerosis
GEO Series GSE16461. Homo sapiens. 16 samples. Type: Expression profiling by array.
Expression data from phenotypically discordant monozygotic twin lymphoblasts
GEO Series GSE33476. Homo sapiens. 34 samples. Type: Expression profiling by array.
Discordant disease course in a monozygotic twin pair with Juvenile Myelomonocytic Leukemia
GEO Series GSE45736. Homo sapiens. 3 samples. Type: Expression profiling by array.
Phenotypically concordant and discordant monozygotic twins display different DNA copy number variation profiles
GEO Series GSE9609. Homo sapiens. 58 samples. Type: Genome variation profiling by genome tiling array; Genome variation profiling by SNP array; SNP genotyping by SNP array.
Methylation of gDNA from twins with tuberculosis infection or not
GEO Series GSE263029. Homo sapiens. 4 samples. Type: Methylation profiling by genome tiling array.
Expression Profiles of Monozygotic Twin
GEO Series GSE7624. Homo sapiens. 35 samples. Type: Expression profiling by array.
DNA methylation signature in monozygotic twins discordant for psoriatic disease
GEO Series GSE186725. Homo sapiens. 28 samples. Type: Expression profiling by high throughput sequencing; Methylation profiling by array.
Gene expression analysis in absence epilepsy using a monozygotic twin design
GEO Series GSE7486. Homo sapiens. 30 samples. Type: Expression profiling by array.
Methylation and expression profiles of monocytes in monozygotic twins: role in Myasthenia Gravis
GEO Series GSE85649. Homo sapiens. 48 samples. Type: Expression profiling by array; Methylation profiling by array.
Transcriptomes of peripheral blood mononuclear cells from a Guillain-Barre Syndrome patient and her healthy twin sampled at three different points of the disease evolution
GEO Series GSE72748. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Genome wide expression data from discordant twins (ulcerative colitis, primary mucosal tissue)
GEO Series GSE22619. Homo sapiens. 20 samples. Type: Expression profiling by array.
ScienceDex guides
Understand access before you commit
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.