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1,249 results for “R data”
Map 31 from: Webster R, Smetana A, Sweeney J, DeMerchant I (2012) New Staphylinidae (Coleoptera) records with new collection data from New Brunswick and an addition to the fauna of Quebec: Staphylininae. ZooKeys 186: 293-348. https://doi.org/10.3897/zookeys.186.2469
Map 31 - Collection localities in New Brunswick, Canada of Erichsonius alumnus.
Map 35 from: Webster R, Smetana A, Sweeney J, DeMerchant I (2012) New Staphylinidae (Coleoptera) records with new collection data from New Brunswick and an addition to the fauna of Quebec: Staphylininae. ZooKeys 186: 293-348. https://doi.org/10.3897/zookeys.186.2469
Map 35 - Collection localities in New Brunswick, Canada of Erichsonius pusio.
Map 4 from: Webster R, Smetana A, Sweeney J, DeMerchant I (2012) New Staphylinidae (Coleoptera) records with new collection data from New Brunswick and an addition to the fauna of Quebec: Staphylininae. ZooKeys 186: 293-348. https://doi.org/10.3897/zookeys.186.2469
Map 4 - Collection localities in New Brunswick, Canada of Hypnogyra gularis.
Figure 6 from: Diaz Cosin D, Novo M, Fernández R, Fernández Marchán D, Gutiérrez M (2014) A new earthworm species within a controversial genus: Eiseniona gerardoi sp. n. (Annelida, Lumbricidae) - description based on morphological and molecular data. ZooKeys 399: 71-87. https://doi.org/10.3897/zookeys.399.7273
Figure 6 - White tissue associated with the dorsal vessel.
Figure 2 from: Diaz Cosin D, Novo M, Fernández R, Fernández Marchán D, Gutiérrez M (2014) A new earthworm species within a controversial genus: Eiseniona gerardoi sp. n. (Annelida, Lumbricidae) - description based on morphological and molecular data. ZooKeys 399: 71-87. https://doi.org/10.3897/zookeys.399.7273
Figure 2 - External view of the anterior part of the body of Eiseniona gerardoi.
Figure 5 from: Diaz Cosin D, Novo M, Fernández R, Fernández Marchán D, Gutiérrez M (2014) A new earthworm species within a controversial genus: Eiseniona gerardoi sp. n. (Annelida, Lumbricidae) - description based on morphological and molecular data. ZooKeys 399: 71-87. https://doi.org/10.3897/zookeys.399.7273
Figure 5 - Posterior nephridium isolated by dissection, showing the nephridial curved bladder.
Figure 1 from: Diaz Cosin D, Novo M, Fernández R, Fernández Marchán D, Gutiérrez M (2014) A new earthworm species within a controversial genus: Eiseniona gerardoi sp. n. (Annelida, Lumbricidae) - description based on morphological and molecular data. ZooKeys 399: 71-87. https://doi.org/10.3897/zookeys.399.7273
Figure 1 - Map showing the position of sampling points.
Figure 4 from: Diaz Cosin D, Novo M, Fernández R, Fernández Marchán D, Gutiérrez M (2014) A new earthworm species within a controversial genus: Eiseniona gerardoi sp. n. (Annelida, Lumbricidae) - description based on morphological and molecular data. ZooKeys 399: 71-87. https://doi.org/10.3897/zookeys.399.7273
Figure 4 - Chaetae ab from segment 40–41 (DIC Nomarski).
Figure 3 from: Diaz Cosin D, Novo M, Fernández R, Fernández Marchán D, Gutiérrez M (2014) A new earthworm species within a controversial genus: Eiseniona gerardoi sp. n. (Annelida, Lumbricidae) - description based on morphological and molecular data. ZooKeys 399: 71-87. https://doi.org/10.3897/zookeys.399.7273
Figure 3 - Schematic view of the external morphology of Eiseniona gerardoi.
Figure 5 from: Jochum A, Slapnik R, Klussmann-Kolb A, Páll-Gergely B, Kampschulte M, Martels G, Vrabec M, Nesselhauf C, Weigand AM (2015) Groping through the black box of variability: An integrative taxonomic and nomenclatural re-evaluation of Zospeum isselianum Pollonera, 1887 and allied species using new imaging technology (Nano-CT, SEM), conchological, histological and molecular data (Ellobioidea, Carychiidae). Subterranean Biology 16: 123-165. https://doi.org/10.3897/subtbiol.16.5758
Figure 5 - Network analysis for the molecular distinctness of the four delineated Zospeum species.
Figure 6 from: Jochum A, Slapnik R, Klussmann-Kolb A, Páll-Gergely B, Kampschulte M, Martels G, Vrabec M, Nesselhauf C, Weigand AM (2015) Groping through the black box of variability: An integrative taxonomic and nomenclatural re-evaluation of Zospeum isselianum Pollonera, 1887 and allied species using new imaging technology (Nano-CT, SEM), conchological, histological and molecular data (Ellobioidea, Carychiidae). Subterranean Biology 16: 123-165. https://doi.org/10.3897/subtbiol.16.5758
Figure 6 - Overview of pairwise genetic distance measurements.
Figure 9 from: Tanaka H, Dung LD, Higashi R, Tsukagoshi A (2016) A new interstitial ostracod species of the genus Paracobanocythere from Vietnam, with mitochondrial CO1 sequence data of three Asian species. ZooKeys 559: 17-33. https://doi.org/10.3897/zookeys.559.6751
Figure 9 - Scatter plots of valves of Paracobanocythere vietnamensis sp. n.
Figure 4 from: Stienen EWM, Desmet P, Aelterman B, Courtens W, Feys S, Vanermen N, Verstraete H, Van de walle M, Deneudt K, Hernandez F, Houthoofdt R, Vanhoorne B, Bouten W, Buijs RJ, Kavelaars MM, Müller W, Herman D, Matheve H, Sotillo A, Lens L (2016) GPS tracking data of Lesser Black-backed Gulls and Herring Gulls breeding at the southern North Sea coast. ZooKeys 555: 115-124. https://doi.org/10.3897/zookeys.555.6173
Figure 4 - Number of birds grouped by number of tracking days and tracking start year.
Data and R-scripts for the analyses of global woody angiosperm diversity
<p>This repository contains data and R scripts necessary to reproduce results shown in the paper: <br> Buntarou Kusumoto, Anne Chao, Wolf L. Eiserhardt, Jens-Christian Svenning, Takayuki Shiono, Yasuhiro Kubota. Occurrence-based diversity estimation reveals macroecological and conservation knowledge gaps for global woody plants. Science Advances (accepted)</p>
Data from: Bayesian hierarchical models for spatially misaligned data in R
Open the record for dataset details and reuse information.
Expression data from the seed coats of black (iRT) and brown (irT) soybean variant for alleles of the R locus
GEO Series GSE26208. Glycine max. 6 samples. Type: Expression profiling by array.
NAAMES R/V Atlantis Miscellaneous Data, Version 1
NAAMES_Misc_Ship_Data are miscellaneous ship 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.
KORUS-AQ Research Vessel (R/V) Onnuri Ship Data
KORUSAQ_RVOnnuriShip_Data features data collected onboard the Research Vessel Onnuri during the KORUS-AQ field campaign. This product features trace gas data and absorption coefficient spectra. 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.
SCOAPE-II R/V Point Sur Data
SCOAPE2_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 - II (SCOAPE-II). 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 the Satellite Coastal and Oceanic Atmospheric Pollution Experiment (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).SCOAPE-II was completed in May 2024 as a follow-on to SCOAPE-I. The primary objectives of SCOAPE-II were to collect shipboard in-situ data and learn more about plumes from oil and gas in the Gulf of America; and conduct validation of NO2 columns from the TEMPO instrument and assess the feasibility of using hourly scans for monitoring air quality. SCOAPE-II also introduced an aircraft component to support comparisons with in-situ and satellite observations. Flights with the AVIRIS-3 instrument were conducted during the primary campaign period, targeting methane column enhancements. A separate flight period occurred in October 2024 to conduct observations of NO2 plumes at deep water targets utilizing the Geostationary Coastal and Air Pollution Event (GEO-CAPE) Airborne Simulator (GCAS) instrument.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 Research Vessel (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.
Portable Remote Imaging Spectrometer (PRISM) COral Reef Airborne Laboratory (CORAL) Regional Reflectance Data
Flight line reflectance measurements from the Portable Remote Imaging Spectrometer (PRISM) instrument aboard the Tempus Applied Solutions Gulfstream-IV (G-IV) aircraft, taken as part of the NASA COral Reef Airborne Laboratory (CORAL) Earth Venture Suborbital-2 (EVS-2) mission designed to provide an extensive, uniform picture of coral reef composition. The CORAL mission surveyed parts of the reefs surrounding the Mariana Islands, Palau, portions of the Great Barrier Reef, the main Hawaiian Islands, and the Florida Keys.
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.