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538 results for “Vector data”
Data from: A virus responds instantly to the presence of the vector on the host and forms transmission morphs
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Data from: Blood meal-induced inhibition of vector-borne disease by transgenic microbiota
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Data from: Epidemiological implications of host biodiversity and vector biology: key insights from simple models
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Data from: Limited usefulness of microsatellite markers from the malaria vector Anopheles gambiae when applied to the closely related species Anopheles melas
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SWOT Level 2 Lake Single-Pass Vector Data Product, Version D
The SWOT Level 2 Lake Single-Pass Vector Product (SWOT_L2_HR_LakeSP_D) provides geolocated surface water measurements for lakes and unclassified water bodies, derived from high-resolution radar observations collected by the Ka-band Radar Interferometer (KaRIn) on the SWOT satellite. This product reports water surface elevation, surface area, and quality indicators for each observed lake or feature, with polygons generated from the PIXCVec pixel cloud. It includes features linked to the Prior Lake Database (PLD), as well as unassigned features not recognized as lakes or rivers in the PLD or PRD.<br><br>Each granule covers a full KaRIn swath for a single continental pass and contains three ESRI shapefiles: one observation-oriented file of observed PLD lakes, one PLD-oriented file with prior lake features (including unobserved ones), and one file for unassigned features. Observed quantities are referenced to the WGS84 ellipsoid and corrected for geoid height, solid Earth, load, and pole tides, as well as tropospheric and ionospheric path delays. Attributes also include uncertainties, flags for partial or dark water coverage, ice cover, and crossover calibration. Storage change estimates are reported in the PLD-oriented shapefile using both direct and incremental methods under different bathymetric assumptions.<br><br>The LakeSP product provides consistent reach-scale and basin-level lake measurements suitable for time series analyses, hydrologic modeling, and integration with prior lake databases. It enables monitoring of water level changes and surface area dynamics across a wide range of inland water bodies and supports hydrological applications in water balance studies, reservoir management, and climate impact assessment.<br>This dataset is the parent collection to the following sub-collections: <br>https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_obs_D <br>https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_prior_D <br>https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_unassigned_D <br>
BOREAS SERM Forest Cover Data Layers of the SSA in Vector Format
The forest cover data provided by Saskatchewan Environment and Resource Management, Forestry Branch - Inventory Unit (SERM-FBIU) are basically a digital version of its 1:12,500 scale forest cover polygon maps. The data include information on forest parameters and cover the area in and near the BOREAS SSA, excluding the PANP. As a digital archive, however, changes within forest stands can be updated more readily. At the same time, it should be kept in mind that most of these digital forest cover data were acquired in 1993, and the data set has been static since that time.
SWOT Level 2 River Single-Pass Vector Data Product, Version C
The SWOT Level 2 River Single-Pass Vector Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, slope, width, and discharge derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the "calibration" or "fast-sampling" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the "science" phase of the mission, which is expected to continue through 2025. <br>Water surface elevation, slope, width, and discharge are provided for river reaches (approximately 10 km long) and nodes (approximately 200 m spacing) identified in the prior river database, and distributed as feature datasets covering the full swath for each continent-pass. These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format.<br>Please note that this collection contains SWOT Version C science data products. <br>This dataset is the parent collection to the following sub-collections: <br>https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_RiverSP_node_2.0 <br>https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_RiverSP_reach_2.0 <br>
BOREAS Prince Albert National Park Forest Cover Data in Vector Format
This data set provides detailed canopy, understory, and ground cover, height, density, and condition information for PANP in the western portion of the BOREAS SSA in vector form.
SWOT Level 2 Lake Single-Pass Vector Data Product, Version C
The SWOT Level 2 Lake Single-Pass Vector Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, area, storage change derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the "calibration" or "fast-sampling" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the "science" phase of the mission, which is expected to continue through 2025. <br>Water surface elevation, area, and storage change are provided in three feature datasets covering the full swath for each continent-pass: 1) an observation-oriented feature dataset of lakes identified in the prior lake database (PLD), 2) a PLD-oriented feature dataset of lakes identified in the PLD, and 3) a feature dataset containing unassigned features (i.e., not identified in PLD nor prior river database (PRD)). These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format.<br>Please note that this collection contains SWOT Version C science data products.<br>This dataset is the parent collection to the following sub-collections: <br>https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_obs_2.0 <br>https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_prior_2.0 <br>https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_unassigned_2.0 <br>
MODIS/Aqua Terra Thermal Anomalies/Fire locations 1km FIRMS NRT (Vector data)
The MODIS/Aqua Terra Thermal Anomalies/Fire locations 1km FIRMS Near Real-Time (NRT) - Collection 61 processed by NASA's Land, Atmosphere Near real-time Capability for EOS (LANCE) Fire Information for Resource Management System (FIRMS), using swath products (MOD14/MYD14) rather than the tiled MOD14A1 and MYD14A1 products. The thermal anomalies / active fire represent the center of a 1km pixel that is flagged by the MODIS MOD14/MYD14 Fire and Thermal Anomalies algorithm (Giglio 2003) as containing one or more fires within the pixel. This is the most basic fire product in which active fires and other thermal anomalies, such as volcanoes, are identified.MCD14DL are available in the following formats: TXT, SHP, KML, WMS. These data are also provided through the LANCE FIRMS Fire Email Alerts. Please note only the TXT and SHP files contain all the attributes.Collection 61 data replaced Collection 6 (DOI:10.5067/FIRMS/MODIS/MCD14DL.NRT.006) in April 2021. The C61 processing does not contain any updates to the science algorithm; changes were made to improve the calibration approach in the generation of the Terra and Aqua MODIS Level 1B products.
BOREAS CanSIS Regional Soils Data in Vector Format, V2
This data set contains soils data from the Canada Soil Information System (CanSIS) in ESRI Shapefile format for the provinces of Saskatchewan and Manitoba. They are provided as part of the BOReal Ecosystem-Atmosphere Study (BOREAS) Staff Science GIS data collection program. Attribute tables provide the various soil data for the polygons. There is one attribute table for Saskatchewan and one for Manitoba. This data product may be useful to someone who is interested in studying this area at a regional scale.
MetOp-A ASCAT Level 2 25-km Ocean Surface Wind Vector Climate Data Record
This dataset represents the first historically reprocessed Level 2 ocean surface wind vector climate data record from the Advanced Scatterometer (ASCAT) on MetOp-A sampled on a 25 km grid. Products at 25-km sampling are less noisy than 12.5-km products, but also contain less geophysical information on small scales and near the coasts. The wind vector retrievals are currently processed using the CMOD7 geophysical model function using a Hamming filter to spatially average the Level 1 Sigma-0 data over 25 km swath grid cells. Each file corresponds to one complete orbit and is provided in netCDF version 3 format. The beginning of the orbit files is defined near the South Pole. ASCAT is a C-band fan beam radar scatterometer, providing two independent swaths of backscatter retrievals, aboard the MetOp-A platform in sun-synchronous polar orbit. It is a product of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) Ocean and Sea Ice Satellite Application Facility (OSI SAF) provided through the Royal Netherlands Meteorological Institute (KNMI). For more information on the MetOp mission, please visit: https://www.eumetsat.int/our-satellites/metop-series . For access to more contemporaneous and near-real-time MetOp-A ASCAT 25-km data, please visit: https://podaac.jpl.nasa.gov/dataset/ASCATA-L2-25km. For more timely announcements, users are encouraged to register with the KNMI scatterometer email list: scat@knmi.nl. All intellectual property rights of the OSI SAF products belong to EUMETSAT. The use of these products is granted to every interested user, free of charge. If you wish to use these products, EUMETSAT's copyright credit must be shown by displaying the words "copyright (year) EUMETSAT" on each of the products used. Use cases and feedback on the products will be much appreciated and in fact helps to sustain the reprocessing capability.
SWOT Level 2 River Single-Pass Vector Data Product, Version D
The SWOT Level 2 River Single-Pass Vector Data Product (SWOT_L2_HR_RiverSP_D) provides hydrologic measurements for predefined river reaches and nodes, derived from high-resolution radar observations collected by the Ka-band Radar Interferometer (KaRIn) aboard the SWOT satellite. This product reports water surface elevation, slope, width, area, and discharge estimates for each reach, along with corresponding node-level details. All features are defined by the Prior River Database (PRD), which encodes river geometry and topology across global basins.<br><br>Each granule covers a single satellite pass over one or more continents and includes two ESRI shapefiles: one for river reaches (as polylines) and one for nodes (as points). Shapefile attributes include both SWOT-derived measurements and metadata from the PRD. Water surface elevations are referenced to the WGS84 ellipsoid and are corrected for geoid height and solid Earth, load, and pole tides. Measurements are aggregated from lower-level pixel detections (PIXC product) assigned to hydrologic features via the auxiliary PIXCVec product. The product also includes consensus and algorithm-specific river discharge estimates, both unconstrained and constrained by historical gauge data.<br><br>The RiverSP product provides reach-scale hydrologic variables suitable for analyzing inland water dynamics, estimating discharge, and monitoring river changes over time. It enables direct integration with the PRD-defined river network and supports applications in large-scale hydrologic modeling, basin monitoring, and water resource management. Data are distributed in shapefile format with metadata and attribute definitions aligned to GIS and hydrologic standards.<br>This dataset is the parent collection to the following sub-collections: <br>https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_RiverSP_node_D <br>https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_RiverSP_reach_D <br>
BOREAS Agriculture Canada Central Saskatchewan Vector Soils Data, R1
This data set provides soil descriptions for forested areas in the BOREAS southern study area (SSA) in central Saskatchewan, Canada provided by Agriculture Canada. The data contain soil code, modifiers, extent, and soil names for the primary, secondary, and tertiary soil units within each polygon.
BOREAS TE-20 Soils Data over the NSA-MSA and Tower Sites in Vector Format
The BOREAS TE-20 team collected several data sets for use in developing and testing models of forest ecosystem dynamics. This data set contains vector layers of soil maps that were received from Dr. Hugo Veldhuis, who did the original mapping in the field during 1994. The vector layers were converted to ARC/INFO EXPORT files. These data cover 1-kilometer diameters around each of the NSA tower sites, and another layer covers the NSA-MSA.
NSCAT Level 2 Ocean Wind Vector Geophysical Data Record
The NASA Scatterometer (NSCAT) Level 2 ocean wind vectors in 50 km wind vector cell (WVC) swaths contain daily data from ascending and descending passes. Wind vectors are accurate to within 2 m/s (vector speed) and 20 degrees (vector direction). Wind vectors are not considered valid in rain contaminated regions; rain flags and precipitation information are not provided. Data is flagged where measurements are either missing, ambiguous, or contaminated by land/sea ice. Winds are calculated using the NSCAT-2 model function. This is the most up-to-date version, which designates the final phase of calibration, validation and science data processing, which was completed in November of 1998, on behalf of the JPL NSCAT Project; wind vectors are processed using the NSCAT-2 geophysical model function.
BOREAS SERM Forest Cover Data of Saskatchewan in Vector Format
This data set is a condensed forest cover type digital map of Saskatchewan and is a product of the Saskatchewan Environment and Resource Management, Forestry Branch - Inventory Unit (SERM-FBIU). This map was generalized from SERM township maps of vegetation cover at an approximate scale of 1:63,000 (1 in. = 1 mile). The cover information was iteratively generalized until it was compiled on a 1:1,000,000 scale map base. This data set was prepared by SERM-FBIU. The data is a condensed forest cover type map of Saskatchewan at a scale of 1:1,000,000.
MetOp-A ASCAT Level 2 12.5-km Ocean Surface Wind Vector Climate Data Record Optimized for Coastal Ocean
This dataset represents the first historically reprocessed Level 2 coastal ocean surface wind vector climate data record from the Advanced Scatterometer (ASCAT) on MetOp-A sampled on a 12.5 km grid. This coastal dataset utilizes a spatial box filter to generate a spatial average of the Sigma-0 retrievals from the Level 1B dataset and obtains additional winds near the coast. Since the full resolution L1B Sigma-0 retrievals are used, all non-sea retrievals are discarded prior to the Sigma-0 averaging. Each box average Sigma-0 is then used to compute the vector cell wind using the same CMOD7 geophysical model function as in the operational OSI SAF ASCAT wind vector datasets. With this enhanced coastal retrieval, winds are computed as close to ~15 km from the coast. Each file corresponds to one complete orbit and is provided in netCDF version 3 format. The beginning of the orbit files is defined near the South Pole. ASCAT is a C-band fan beam radar scatterometer, providing two independent swaths of backscatter retrievals, aboard the MetOp-A platform in sun-synchronous polar orbit. It is a product of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) Ocean and Sea Ice Satellite Application Facility (OSI SAF) provided through the Royal Netherlands Meteorological Institute (KNMI). For more information on the MetOp mission, please visit: https://www.eumetsat.int/our-satellites/metop-series . For access to more contemporaneous and near-real-time MetOp-A ASCAT 12.5km data, please visit: https://podaac.jpl.nasa.gov/dataset/ASCATA-L2-Coastal. For more timely announcements, users are encouraged to register with the KNMI scatterometer email list: scat@knmi.nl. All intellectual property rights of the OSI SAF products belong to EUMETSAT. The use of these products is granted to every interested user, free of charge. If you wish to use these products, EUMETSAT's copyright credit must be shown by displaying the words "copyright (year) EUMETSAT" on each of the products used. Use cases and feedback on the products will be much appreciated and in fact helps to sustain the reprocessing capability.
Expression data from isogenic Pten WT mouse T-ALLs infected with MSCV Myr-AKT-IRES-mCherry or empty vector, treated with DBZ or DMSO
GEO Series GSE71089. Mus musculus. 12 samples. Type: Expression profiling by array.
Intranasal delivery of NS1-deleted influenza virus vectored COVID-19 vaccine restrains the SARS-CoV-2 inflammatory response (Mouse Lung RNA-seq Data)
GEO Series GSE227647. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.
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.