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757
datasets available to search
ShareScore release 0.9.0
Dataset results
757 results for “twins”
The Prediction of Preeclampsia/Toxemia in Twin Pregnancy
ClinicalTrials.gov study NCT01255202. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Epigenome-wide Association Study of Physical Activity and Physiological Parameters in Discordant Monozygotic Twins
GEO Series GSE216387. Homo sapiens. 140 samples. Type: Methylation profiling by high throughput sequencing.
Epigenome analysis of female identical twins
GEO Series GSE65638. Homo sapiens. 16 samples. Type: Methylation profiling by genome tiling array.
Single-cell RNA-seq in monozygotic twins discordant for multiple sclerosis
GEO Series GSE127969. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
The transcriptome of 2 pairs of monozygotic twins clinically discordant for IgA nephropathy
GEO Series GSE151454. Homo sapiens. 4 samples. Type: Expression profiling by array.
DNA methylation signatures of adolescent victimization: Analysis of a longitudinal monozygotic twin sample.
GEO Series GSE154566. Homo sapiens. 1177 samples. Type: Methylation profiling by array.
Methylation analysis in monozygotic(MZ) twins with differences in TSH
GEO Series GSE252408. Homo sapiens. 44 samples. Type: Methylation profiling by array.
Genomic Screening of Testicular Germ Cell Tumors from Monozygotic Twins
GEO Series GSE62779. Homo sapiens. 6 samples. Type: Genome variation profiling by array; Genome variation profiling by high throughput sequencing.
Effect of 6 weeks of high fat diet on gene expression in human subcutaneous adipose tissue of twins
GEO Series GSE62199. Homo sapiens. 201 samples. Type: Expression profiling by array.
Genetic differences underlying chromatin discordance between monozygotic twins
GEO Series GSE53823. Homo sapiens. 144 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by array.
DNA methylation signature in monozygotic twins discordant for psoriatic disease [RNA-seq]
GEO Series GSE186724. Homo sapiens. 14 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide DNA methylation and gene expression analyses of monozygotic twin discordant for intelligence levels
GEO Series GSE33478. Homo sapiens. 68 samples. Type: Expression profiling by array; Genome variation profiling by genome tiling array.
Gene expression analysis of astrocytes differentiated from iPS cells generated from monozygotic twins discordant for schizophrenia
GEO Series GSE191248. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Changes in the Pattern of DNA Methylation Associate with Twin Discordance in SLE
GEO Series GSE19033. Homo sapiens. 59 samples. Type: Methylation profiling by array.
Specification of the Germline in Monozygotic Twins with Discordant Primary Ovarian Insufficiency
GEO Series GSE181205. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
Distinguishing identical twins using DNA methylation analysis
GEO Series GSE255870. Homo sapiens. 108 samples. Type: Methylation profiling by genome tiling array.
The transcriptome and genome-wide DNA methylation data of 2 pairs of monozygotic twins clinically discordant for IgA nephropathy
GEO Series GSE151457. Homo sapiens. 8 samples. Type: Expression profiling by array; Methylation profiling by array.
FIREX-AQ NOAA-CHEM Twin Otter Photolysis Rate (j value) Data
FIREXAQ_jValue_AircraftInSitu_N48_Data are in situ photolysis rate (j value) data collected onboard the NOAA-CHEM Twin Otter aircraft during FIREX-AQ. 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 Meteorological and Navigational Data
FIREXAQ_MetNav_AircraftInSitu_N48_Data are in situ meteorological and navigational data collected onboard the NOAA-CHEM Twin Otter during FIREX-AQ. This product includes data collected via GPS and meteorology probes. 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 Trace Gas Data
FIREXAQ_TraceGas_AircraftInSitu_N48_Data are in situ trace gas data collected onboard the NOAA-CHEM Twin Otter during FIREX-AQ. This product features data collected by chemiluminescence, and the PIcarro, CIMS, and GC-ToF-MS instrumentation. 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.
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.