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1,249 results for “R data”
NAAMES R/V Atlantis Aerosol In Situ Data, Version 1
NAAMES_Aerosol_ShipInSitu_Data are in situ aerosol measurements collected onboard the R/V Atlantis vessel during the North Atlantic Aerosols and Marine Ecosystems Study (NAAMES). These measurements were collected from November 4, 2015 – November 29, 2015, May 11, 2016 – June 5, 2016, August 30, 2017-September 22, 2017 and March 18, 2018 – April 13, 2018 over the North Atlantic Ocean. The primary objective of NAAMES was to resolve key processes controlling ocean system function, their influences on atmospheric aerosols and clouds and their implications for climate. The ship-based measurements provide detailed characterization of plankton stocks, rate processes, and community composition. Ship measurements collected during NAAMES also characterize sea water volatile organic compounds, their processing by ocean ecosystems, and the concentrations and properties of gases and particles in the overlying atmosphere. Data collection for this product is complete.The NASA North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) project was the first NASA Earth Venture – Suborbital mission focused on studying the coupled ocean ecosystem and atmosphere. NAAMES utilizes a combination of ship-based, airborne, autonomous sensor, and remote sensing measurements that directly link ocean ecosystem processes, emissions of ocean-generated aerosols and precursor gases, and subsequent atmospheric evolution and processing. Four deployments coincide with the seasonal cycle of phytoplankton in the North Atlantic Ocean: the Winter Transition (November 5 – December 2, 2015), the Bloom Climax (May 11 – June 5, 2016), the Deceleration Phase (August 30 – September 24, 2017), and the Acceleration Phase (March 20 – April 13, 2018). Ship-based measurements were conducted from the Woods Hole Oceanographic Institution Research Vessel Atlantis in the middle of the North Atlantic Ocean, while airborne measurements were conducted on a NASA Wallops Flight Facility C-130 Hercules that was based at St. John's International Airport, Newfoundland, Canada. Data products in the ASDC archive focus on the NAAMES atmospheric aerosol, cloud, and trace gas data from the ship and aircraft, as well as related satellite and model data subsets. While a few ocean-remote sensing data products (e.g., from the high-spectral resolution lidar) are also included in the ASDC archive, most ocean data products reside in a companion archive at SeaBass.
NAAMES R/V Atlantis Trace Gas In Situ Data, Version 1
NAAMES_TraceGas_ShipInSitu_Data are in situ trace gas measurements collected onboard the R/V Atlantis vessel during the North Atlantic Aerosols and Marine Ecosystems Study (NAAMES). These measurements were collected from November 4, 2015 – November 29, 2015, May 11, 2016 – June 5, 2016, August 30, 2017-September 22, 2017 and March 18, 2018 – April 13, 2018 over the North Atlantic Ocean. The primary objective of NAAMES was to resolve key processes controlling ocean system function, their influences on atmospheric aerosols and clouds and their implications for climate. The ship-based measurements provide detailed characterization of plankton stocks, rate processes, and community composition. Ship measurements collected during NAAMES also characterize sea water volatile organic compounds, their processing by ocean ecosystems, and the concentrations and properties of gases and particles in the overlying atmosphere. Data collection for this product is complete.The NASA North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) project was the first NASA Earth Venture – Suborbital mission focused on studying the coupled ocean ecosystem and atmosphere. NAAMES utilizes a combination of ship-based, airborne, autonomous sensor, and remote sensing measurements that directly link ocean ecosystem processes, emissions of ocean-generated aerosols and precursor gases, and subsequent atmospheric evolution and processing. Four deployments coincide with the seasonal cycle of phytoplankton in the North Atlantic Ocean: the Winter Transition (November 5 – December 2, 2015), the Bloom Climax (May 11 – June 5, 2016), the Deceleration Phase (August 30 – September 24, 2017), and the Acceleration Phase (March 20 – April 13, 2018). Ship-based measurements were conducted from the Woods Hole Oceanographic Institution Research Vessel Atlantis in the middle of the North Atlantic Ocean, while airborne measurements were conducted on a NASA Wallops Flight Facility C-130 Hercules that was based at St. John's International Airport, Newfoundland, Canada. Data products in the ASDC archive focus on the NAAMES atmospheric aerosol, cloud, and trace gas data from the ship and aircraft, as well as related satellite and model data subsets. While a few ocean-remote sensing data products (e.g., from the high-spectral resolution lidar) are also included in the ASDC archive, most ocean data products reside in a companion archive at SeaBass.
GOES-R Geostationary Lightning Mapper (GLM) Gridded Data Products
The GOES-R Geostationary Lightning Mapper (GLM) Gridded Data Products consist of full disk extent gridded lightning flash data collected by the Geostationary Lightning Mapper (GLM) on board each of the Geostationary Operational Environmental Satellites R-Series (GOES-R). These satellites are a part of the GOES-R series program: a four-satellite series within the National Aeronautics and Space Administration (NASA) and National Oceanic and Atmospheric Association (NOAA) GOES program. These are GOES-16, -17, -18, and -19. Currently, GOES-18 and GOES-19 are the active satellites. GLM is the first operational geostationary optical lightning detector that provides total lightning data (in-cloud, cloud-to-cloud, and cloud-to-ground flashes). While it detects each of these types of lightning, the GLM is unable to distinguish between each type. The GLM GOES L3 dataset files contain gridded lightning flash data over the Western Hemisphere in netCDF-4 format from December 31, 2017 to present as this is an ongoing dataset.
SCOAPE R/V Point Sur Data
SCOAPE_RVPointSur_Data is the data collected from instruments onboard the University of Southern Mississippi’s Research Vessel (R/V) Point Sur during the Satellite Coastal and Oceanic Atmospheric Pollution Experiment (SCOAPE). Data was collected by sun photometers, ceilometers, aethalometers, anemometers, and pyranometers. Data collection for this product is complete.The Outer Continental Shelf Lands Act (OCSLA) requires the US Department of Interior Bureau of Ocean Energy Management (BOEM) to ensure compliance with the US National Ambient Air Quality Standard (NAAQS) so that Outer Continental Shelf (OCS) oil and natural gas (ONG) exploration, development, and production do not significantly impact the air quality of any US state. In 2017, BOEM and NASA entered into an interagency agreement to begin a study to scope out the feasibility of BOEM personnel using a suite of NASA and non-NASA resources to assess how pollutants from ONG exploration, development, and production activities affect air quality. An important activity of this interagency agreement was SCOAPE, a field deployment that took place in May 2019, that aimed to assess the capability of satellite observations for monitoring offshore air quality. The outcomes of the study are documented in two BOEM reports (Duncan, 2020; Thompson, 2020).To address BOEM’s goals, the SCOAPE science team conducted surface-based remote sensing and in-situ measurements, which enabled a systematic assessment of the application of satellite observations, primarily NO2, for monitoring air quality. The SCOAPE field measurements consisted of onshore ground sites, including in the vicinity of the Louisiana Universities Marine Consortium (LUMCON; Cocodrie, LA), as well as those from University of Southern Mississippi’s R/V Point Sur, which cruised in the Gulf of America from 10-18 May 2019. Based on the 2014 and 2017 BOEM emissions inventories as well as daily air quality and meteorological forecasts, the cruise track was designed to sample both areas with large oil drilling platforms and areas with dense small natural gas facilities. The R/V Point Sur was instrumented to carry out both remote sensing and in-situ measurements of NO2 and O3 along with in-situ CH4, CO2, CO, and VOC tracers which allowed detailed characterization of airmass type and emissions. In addition, there were also measurements of multi-wavelength AOD and black carbon as well as planetary boundary layer structure and meteorological variables, including surface temperature, humidity, and winds. A ship-based spectrometer instrument provided remotely-sensed total column amounts of NO2 and O3 for direct comparison with satellite measurements. Ozonesondes and radiosondes were also launched 1-3 times daily from the R/V Point Sur to provide O3 and meteorological vertical profile observations. The ground-based observations, primarily at LUMCON, included spectrometer-measured column NO2 and O3, in-situ NO2, VOCs, and planetary boundary layer structure. A NO2sonde was also mounted on a vehicle with the goal to detect pollution onshore from offshore ONG activities during onshore flow; data were collected along coastal Louisiana from Burns Point Park to Grand Isle to the tip of the Mississippi River delta. The in-situ measurements were reported in ICARTT files or Excel files. The remote sensing data are in either HDF or netCDF files.
NAAMES R/V Atlantis Navigational and Meteorological In Situ Data, Version 1
NAAMES_MetNav_ShipInSitu_Data are in situ meteorological and navigational measurements collected onboard the R/V Atlantis vessel during the North Atlantic Aerosols and Marine Ecosystems Study (NAAMES). These measurements were collected from November 4, 2015 – November 29, 2015, May 11, 2016 – June 5, 2016, August 30, 2017-September 22, 2017 and March 18, 2018 – April 13, 2018 over the North Atlantic Ocean. The primary objective of NAAMES was to resolve key processes controlling ocean system function, their influences on atmospheric aerosols and clouds and their implications for climate. The ship-based measurements provide detailed characterization of plankton stocks, rate processes, and community composition. Ship measurements collected during NAAMES also characterize sea water volatile organic compounds, their processing by ocean ecosystems, and the concentrations and properties of gases and particles in the overlying atmosphere. Data collection for this product is complete.The NASA North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) project was the first NASA Earth Venture – Suborbital mission focused on studying the coupled ocean ecosystem and atmosphere. NAAMES utilizes a combination of ship-based, airborne, autonomous sensor, and remote sensing measurements that directly link ocean ecosystem processes, emissions of ocean-generated aerosols and precursor gases, and subsequent atmospheric evolution and processing. Four deployments coincide with the seasonal cycle of phytoplankton in the North Atlantic Ocean: the Winter Transition (November 5 – December 2, 2015), the Bloom Climax (May 11 – June 5, 2016), the Deceleration Phase (August 30 – September 24, 2017), and the Acceleration Phase (March 20 – April 13, 2018). Ship-based measurements were conducted from the Woods Hole Oceanographic Institution Research Vessel Atlantis in the middle of the North Atlantic Ocean, while airborne measurements were conducted on a NASA Wallops Flight Facility C-130 Hercules that was based at St. John's International Airport, Newfoundland, Canada. Data products in the ASDC archive focus on the NAAMES atmospheric aerosol, cloud, and trace gas data from the ship and aircraft, as well as related satellite and model data subsets. While a few ocean-remote sensing data products (e.g., from the high-spectral resolution lidar) are also included in the ASDC archive, most ocean data products reside in a companion archive at SeaBass.
First ISCCP Regional Experiment (FIRE) Marine Stratocumulus National Center forAtmospheric Research (NCAR) Electra Aircraft Data
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to seek the basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between ISCCP data, GCM parameterizations, and higher space and time resolution cloud data. To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.Data were collected from the NCAR Electra aircraft during the FIRE Marine Stratocumulus experiment in July 1987. The data were produced by the NCAR Research Aviation Facility (RAF) Data Management Group, with the GENPRO-II data processing software. The format of these data include a header file and a data file which corresponds to all or part of a particular aircraft flight.
KORUS-AQ Research Vessel (R/V) JangMok Ship Data
KORUSAQ_RVJangMokShip_Data features data collected onboard the Research Vessel JangMok during the KORUS-AQ field campaign. This product features trace gas and meteorological and navigational data. Data collection for this product is complete.The KORUS-AQ field study was conducted in South Korea during May-June, 2016. The study was jointly sponsored by NASA and Korea’s National Institute of Environmental Research (NIER). The primary objectives were to investigate the factors controlling air quality in Korea (e.g., local emissions, chemical processes, and transboundary transport) and to assess future air quality observing strategies incorporating geostationary satellite observations. To achieve these science objectives, KORUS-AQ adopted a highly coordinated sampling strategy involved surface and airborne measurements including both in-situ and remote sensing instruments.Surface observations provided details on ground-level air quality conditions while airborne sampling provided an assessment of conditions aloft relevant to satellite observations and necessary to understand the role of emissions, chemistry, and dynamics in determining air quality outcomes. The sampling region covers the South Korean peninsula and surrounding waters with a primary focus on the Seoul Metropolitan Area. Airborne sampling was primarily conducted from near surface to about 8 km with extensive profiling to characterize the vertical distribution of pollutants and their precursors. The airborne observational data were collected from three aircraft platforms: the NASA DC-8, NASA B-200, and Hanseo King Air. Surface measurements were conducted from 16 ground sites and 2 ships: R/V Onnuri and R/V Jang Mok.The major data products collected from both the ground and air include in-situ measurements of trace gases (e.g., ozone, reactive nitrogen species, carbon monoxide and dioxide, methane, non-methane and oxygenated hydrocarbon species), aerosols (e.g., microphysical and optical properties and chemical composition), active remote sensing of ozone and aerosols, and passive remote sensing of NO2, CH2O, and O3 column densities. These data products support research focused on examining the impact of photochemistry and transport on ozone and aerosols, evaluating emissions inventories, and assessing the potential use of satellite observations in air quality studies.
GOES-R PLT ER-2 Flight Navigation Data
The GOES-R PLT ER-2 Flight Navigation Data dataset consists of multiple altitude, pressure, temperature parameters, airspeed, and ground speed measurements collected by the NASA ER-2 high-altitude aircraft for flights that occurred during the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT airborne science field campaign took place between March 21 and May 17, 2017 in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). ER-2 navigation data files in ASCII-IWG1 format are available for March 21, 2017 through May 17, 2017.
miRNA expression data from pancreatic ductal adenocarcinoma (PDAC) cell line BxPC3 and its cisplatin-resistant derivative BxPC3-R
GEO Series GSE79506. synthetic construct; Homo sapiens. 4 samples. Type: Non-coding RNA profiling by array.
pcaGoPromoter - An R package for functional interpretation of principal component analysis of genome-wide gene expression data
GEO Series GSE27071. Homo sapiens. 13 samples. Type: Expression profiling by array.
Expression data from drosophila ML3 gonads, pointed aga vs. Wt (Oregon R)
GEO Series GSE301339. Drosophila melanogaster. 6 samples. Type: Expression profiling by array.
Expression data of multiple sclerosis patients receiving Interferon-beta therapy [TaqMan(r) Array Human MicroRNA B Cards v2.0]
GEO Series GSE46292. Homo sapiens. 24 samples. Type: Expression profiling by RT-PCR.
Expression data of multiple sclerosis patients receiving Interferon-beta therapy [TaqMan(r) Array Human MicroRNA A Cards v2.0]
GEO Series GSE46283. Homo sapiens. 24 samples. Type: Expression profiling by RT-PCR.
Expression data from low R:FR - SA crosstalk in Arabidopsis
GEO Series GSE45728. Arabidopsis thaliana. 12 samples. Type: Expression profiling by array.
Expression data from pancreatic ductal adenocarcinoma (PDAC) cell lines AsPC1, BxPC3 and their cisplatin-resistant derivatives AsPC1-R and BxPC3-R
GEO Series GSE73978. Homo sapiens. 12 samples. Type: Expression profiling by array.
R_package_data
Open the record for dataset details and reuse information.
Optional data for R-package from publication: "fsbrain: an R package for the visualization of structural neuroimaging data"
<p>This is the optional data that be downloaded from within the R packages 'freesurferformats' and 'fsbrain'. See publication: https://doi.org/10.1101/2020.09.18.302935</p> <p> </p> <p>Due to CRAN limits, this data cannot be stored in the package. The author therefore stores this on a private server, which is not optimal. This uploads serves as a backup and an alternate way to access the data, e.g., for future maintainers of the software.</p> <p>Note that the files in directories 'subjects_dir/fsaverage' and 'subjects_dir/fsaverage3' are part of FreeSurfer6 and distributed under the FreeSurfer license.</p>
Input data for R script
Open the record for dataset details and reuse information.
Data and R code for: "Nineteenth-century land use shape the current occurrence of some plant species, but weakly affects richness and total composition of Central European grasslands"'
<ol> <li> <p><strong><code>IndVal.all.habitats.csv</code></strong>: the results of the IndVal statistics (<a href="https://doi.org/10.1111/j.1600-0706.2010.18334.x">De Cáceres et al. 2013</a>) for 1,498 species for the historical land use categories calculated across the entire dataset;</p> </li> <li> <p><code><strong>IndVal.separate.habitats.csv</strong></code>: the results of the IndVal statistics for 1,498 species for the historical land use categories calculated for each habitat type (dry grasslands, mesic grasslands, wet grasslands) separately;</p> </li> <li> <p><code><strong>ecological.and.disturbance.values.csv</strong></code>: the original Ellenberg-type and disturbance indicator values, and the varimax-rotated components (‘RC’) used in the analysis (data obtained from <a href="https://doi.org/10.1111/jvs.13168">Tichý et al. 2023</a> and <a href="http://dx.doi.org/10.1111/geb.13603">Midolo et al. 2023</a>; accessible at the FloraVeg.eu website <a href="https://floraveg.eu/download/" target="_new" rel="noreferrer">https://floraveg.eu/download/</a>);</p> </li> <li> <p><strong>R code and data for reproducibility</strong>. The R code is for illustration purposes only and is based on a subset of 1,184 mesic grassland vegetation plots located in the Czech Republic and in the study area. This is part of the Czech National Phytosociological Database (<a href="https://www.preslia.cz/article/387">Chytrý & Rafajová 2003</a>) and the European Vegetation Archive (<a href="https://doi.org/10.1111/avsc.12191">Chytrý et al. 2016</a>). The data includes the following:</p> <ul> <li> <p> <code>data</code> folder:</p> </li> </ul> </li> </ol> <ul> <li> <ul> <li> <ul> <li>i. <code>indicator.values.csv</code>: the original indicator values for 831 species;</li> <li>ii. <code>plot.data.csv</code>: data for each of the 1,184 vegetation plots, including their historical land use, plot size, bioclimatic variables (‘bio’; <a href="http://dx.doi.org/10.1038/sdata.2017.122">Karger et al. 2017</a>), and soil pH (<a href="https://doi.org/10.1371%2Fjournal.pone.0169748">Hengl et al. 2017</a>);</li> <li>iii. <code>species.matrix.csv</code>: community matrix reporting the relative abundance of species (columns) and plot sites (rows).</li> </ul> </li> <li>R scripts for species richness, species composition, and species indicator analyses. R script are also rendered in .html with R Markdown.</li> </ul> </li> </ul>
FIGURE 2 in Systematic position of Rivina humilis var. humilis, R. humilis var. bracteata and R. bengalensis based on nrDNA ITS and cpDNA rbcL & trnH-psbA sequence data
FIGURE 2. Best ML tree retrieved after analysing 14 taxa of family Phytolaccaceae. (Combined rbcL + trnH-psbA. The best fit model of evolution GTR+G+I. The tree rooted at Phytolacca acinose (Lee et al. 2013).
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.