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Dataset results
278 results for “geolocators”
IceBridge MCoRDS L1B Geolocated Radar Echo Strength Profiles V002
This data set contains radar echograms taken from the Center for Remote Sensing of Ice Sheets (CReSIS) ultra Multichannel Coherent Radar Depth Sounder (MCoRDS) over land and sea ice in the Arctic and Antarctic.
AfriSAR LVIS L1B Geolocated Return Energy Waveforms V001
This data set contains return energy waveform data over Gabon, Africa. The measurements were taken by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of a NASA campaign, in collaboration with the European Space Agency (ESA) mission AfriSAR.
IceBridge HiCARS 1 L2 Geolocated Ice Thickness V001
This data set contains ice thickness, surface and bed elevation, and echo strength measurements taken over Antarctica using the Hi-Capability Airborne Radar Sounder (HiCARS) instrument. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge.
IceBridge Snow Radar L1B Geolocated Radar Echo Strength Profiles V002
This data set contains radar echograms taken from the Center for Remote Sensing of Ice Sheets (CReSIS) ultra wide-band snow radar over land and sea ice in the Arctic and Antarctic. In addition, airborne snow measurements were taken during 10 flights over Alaska mountains, ice fields, and glaciers at the end of May 2018 by a compact CReSIS FMCW radar system installed on a Single Otter aircraft. The data were collected as part of Operation IceBridge funded campaigns.
IceBridge UAF Lidar Profiler L1B Geolocated Surface Elevation Triplets V001
This data set contains surface profiles of Alaska Glaciers acquired using the airborne University of Alaska Fairbanks (UAF) Glacier Lidar system. The data were collected as part of Operation IceBridge funded aircraft survey campaigns.
Quantitative modeling method for geolocating pollen samples
<p>Pollen producing plants are present on every continent and the taxa of these plans can be distinguished based on the pollen grains. As a pollen assemblage can only come from a vegetation that produces the pollen types in that assemblage, pollen can give an indication of vegetation composition. Knowing the assemblage that produced a specific sample can be used to determine the origins of pollen on objects of interest such as footwear, drugs and poached goods. Most studies that used forensic palynology for geolocation were qualitative analyses of regions with low biodiversity. None are studies on a continental scale that involve the tropics. There is a need for objective qualitative forensic methods, which are expected to be effective and efficient with both high and low biodiversity regions.</p> <p>In this study a qualitative modeling method was developed using pollen samples from 705 neotropical sites and tested on pollen samples from 55 European sites. These samples came from pollen traps, soil samples, mud water interfaces of lakes and rivers, and moss samples. Ensemble species distribution models based on presence data were run for all genera present in these samples. The predicted range of all genera present in each individual sample were combined to produce a predicted range of origin of the site. A rate of 89.9% of all Neotropical sites was correctly predicted. The highest accuracy was achieved with samples from pollen traps, which were correct in 96.2% of cases. The results of European and Neotropical sites of the same sample origin were comparable. The results indicate that qualitative analysis can be accurate and efficient in the tropics at a continental scale.</p> <p>This file contains all used data and R scripts. With the contents the results can be recreated. Instructions on use are enclosed</p>
VIIRS/JPSS2 Moderate Resolution Terrain Corrected Geolocation 6-Min L1 Swath 750 m
The VIIRS/JPSS2 Moderate Resolution Terrain Corrected Geolocation 6-Min L1 Swath 750 m, short-name VJ203MOD is the Joint Polar-orbiting Satellite System-2 (JPSS-2/NOAA-21) platform-based NASA Visible-Infrared Imaging-Radiometer Suite (VIIRS) L1 terrain-corrected geolocation product, and contains the derived line-of-sight (LOS) vectors for each of the 750-m moderate-resolution, or M-bands. The geolocation algorithm uses a number of inputs that include an Earth ellipsoid, geoid, and a digital terrain model along with the SNPP platform’s ephemeris and attitude data, and knowledge of the VIIRS sensor and satellite geometry. It produces geodetic coordinates (latitude and longitude), and related parameters for each VIIRS L1 pixel. The VJ203MOD product includes geodetic latitude, longitude, surface height above the geoid, solar zenith and azimuth angles, sensor zenith and azimuth angles, land/water mask, and quality flag for every pixel location. VJ203MOD provides a fundamental input to derive a number of VIIRS M-band higher-level products.The J2 VIIRS geolocation underwent an on-orbit validation. Geolocation errors of about 350 m in the along-scan direction and about 165 m in the along-track direction were corrected for the image-resolution bands and moderate-resolution bands. The Day-Night band (DNB) geolocation error of about 2000 m was corrected. For more information and documents, visit LAADS product page at:https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/VJ203MOD
MODIS/Aqua Geolocation Angles Daily L2G Global 1km SIN Grid Day NRT
The MODIS/Aqua Geolocation Angles Daily L2G Global 1km SIN Grid Day Near Real Time (NRT), short name MYDMGGAD, product contain information on solar illumination and instrument viewing geometry angles. These data can be used to model the geometric relationship and distance between the area of the Earth's surface imaged, the sun, and the sensor. This is often required to perform atmospheric corrections, or to convert or calibrate spectral data to known (absolute) radiance or reflectance units. MYDMGGAD files are used as input to higher-level products such as MODIS Surface Reflectance (MYD09). Geometric information for each sensor observation is stored on a geolocated grid with Level-2 geophysical parameters stored as Level-2G (gridded) products. The multiple observations stored in the L2G grids are examined by the Level-3 processes to extract only the most relevant observations per grid cell.
GEDI L1B Geolocated Waveform Data Global Footprint Level V001
GEDI Version 1 data products were decommissioned on February 15, 2022. Users are advised to use the improved [GEDI01_B Version 2](https://doi.org/10.5067/GEDI/GEDI01_B.002) data product.The Global Ecosystem Dynamics Investigation (GEDI) mission aims to characterize ecosystem structure and dynamics to enable radically improved quantification and understanding of the Earth’s carbon cycle and biodiversity. The GEDI instrument produces high resolution laser ranging observations of the 3-dimensional structure of the Earth. GEDI is attached to the International Space Station and collects data globally between 51.6 degrees N and 51.6 degrees S latitudes at the highest resolution and densest sampling of any light detection and ranging (lidar) instrument in orbit to date.The GEDI Level 1B Geolocated Waveforms product (GEDI01_B) provides geolocated corrected and smoothed waveforms, geolocation parameters, and geophysical corrections for each laser shot for all eight GEDI beams. GEDI01_B data are created by geolocating the GEDI01_A raw waveform data. The GEDI01_B product is provided in HDF5 format and has a spatial resolution (average footprint) of 25 meters.The GEDI01 B data product contains 83 variables for each of the eight beams including the geolocated corrected and smoothed waveform datasets and parameters and the accompanying ancillary, geolocation, and geophysical correction. Additional information can be found in the GEDI L1B Product Data Dictionary.Known Issues* Known Issues: Section 6.1 of the User Guide provides additional information on known issues.* Data acquisition gaps: GEDI data acquisitions were suspended on December 19, 2019 (2019 Day 353) and resumed on January 8, 2020 (2020 Day 8).
Suomi-NPP VIIRS Level-1 Geolocation Product Data, version 2
The Visible and Infrared Imager/Radiometer Suite (VIIRS) Geolocation (GEO) Products are data containing terrain corrected solar zenith and azimuth angles, satellite zenith and azimuth angles, as well as latitudes and longitudes for each VIIRS grid point for each of the three VIIRS resolutions. (375m, 750m, and DNB).
MODIS/Terra Geolocation Angles Daily L2G Global 1km SIN Grid Day NRT
The MODIS/Terra Geolocation Angles Daily L2G Global 1km SIN Grid Day Near Real Time (NRT), short name MODMGGAD, product contain information on solar illumination and instrument viewing geometry angles. These data can be used to model the geometric relationship and distance between the area of the Earth's surface imaged, the sun, and the sensor. This is often required to perform atmospheric corrections, or to convert or calibrate spectral data to known (absolute) radiance or reflectance units.MODMGGAD files are used as input to higher-level products such as MODIS Surface Reflectance (MOD09). Geometric information for each sensor observation is stored on a geolocated grid with Level-2 geophysical parameters stored as Level-2G (gridded) products. The multiple observations stored in the L2G grids are examined by the Level-3 processes to extract only the most relevant observations per grid cell.
AIRS/Aqua L1B HSB geolocated and calibrated brightness temperatures V005 (AIRHBRAD) at GES DISC
The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The HSB level 1B data set contains HSB calibrated and geolocated brightness temperatures in degrees Kelvin. This data set is generated from HSB Level 1A digital numbers (DN), including 4 microwave channels in the 150 - 190 GHz region of the spectrum. A day's worth of data is divided into 240 scenes each of 6 minute duration. For the HSB measurements, an individual scene consists of 135 scanlines containing 90 cross-track footprints; thus there is a total of 135 x 90 = 12,150 footprints per HSB scene, which coincide very closely with the AIRS infrared footprints. HSB is primarily a humidity sounder that provides information on snow/ice cover and precipitation using the 150 GHz window channel, and the coarse distribution of moisture in the troposphere using the 183 GHz channels. Combined with simultaneous measurements from the AIRS and AMSU-A instruments, the calibrated HSB brightness temperatures will be used to initialize the atmospheric moisture profile required for the retrieval of the final AIRS geophysical products. An HSB level 1B daily summary browse product is also available to provide users with a global quick look capability when searching for data of interest. Summary Browse Products are high-level pictorial representations of AIRS Instrument (AIRS Infrared, AMSU-A and HSB) data designed as an aid to ordering data from the GSFC DISC or EDG. the HSB instrument failed in November of 2003.
NOAA-21 VIIRS Level-1 Geolocation Product Data, version 1
The Visible and Infrared Imager/Radiometer Suite (VIIRS) Geolocation (GEO) Products are data containing terrain corrected solar zenith and azimuth angles, satellite zenith and azimuth angles, as well as latitudes and longitudes for each VIIRS grid point for each of the three VIIRS resolutions. (375m, 750m, and DNB).
VIIRS/JPSS2Day/Night Band Resolution Terrain Corrected Geolocation 6-Min L1 Swath 750 m
The VIIRS/JPSS2 Day/Night Band Resolution Terrain Corrected Geolocation 6-Min L1 Swath 750 m, short-name VJ203DNB product is the Joint Polar-orbiting Satellite System-2 (JPSS-2/NOAA-21) platform-based NASA Visible Infrared Imaging Radiometer Suite (VIIRS) L1 terrain-corrected geolocation product, and contains the derived line-of-sight (LOS) vectors for the single panchromatic Day-Night band (DNB). The geolocation algorithm uses a number of inputs that include an Earth ellipsoid, geoid, and a digital terrain model along with the SNPP platform’s ephemeris and attitude data, and knowledge of the VIIRS sensor and satellite geometry. It provides geodetic coordinates (latitude and longitude), and related parameters for each VIIRS L1 pixel. The VJ203DNB product includes geodetic latitude, longitude, surface height above the geoid, solar zenith and azimuth angles, lunar zenith and azimuth angles, sensor zenith and azimuth angles, land/water mask, moon illumination fraction and phase angle, and quality flag for every pixel location.The J2 VIIRS geolocation underwent an on-orbit validation. Geolocation errors of about 350 m in the along-scan direction and about 165 m in the along-track direction were corrected for the image-resolution bands and moderate-resolution bands. The Day-Night band (DNB) geolocation error of about 2000 m was corrected. For more information and documents, visit LAADS product page at:https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/VJ203DNB
Aqua MODIS Level-1 Geolocation Product Data, version 1
MODIS (or Moderate-Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (EOS AM) and Aqua (EOS PM) satellites. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications). These data will improve our understanding of global dynamics and processes occurring on the land, in the oceans, and in the lower atmosphere. MODIS is playing a vital role in the development of validated, global, interactive Earth system models able to predict global change accurately enough to assist policy makers in making sound decisions concerning the protection of our environment.
MLS/Aura L1 Orbit/Attitude and Tangent Point Geolocation Data V004 (ML1OA) at GES DISC
ML1OA is the EOS Aura Microwave Limb Sounder (MLS) product containing the level 1 orbit attitude and tangent point geolocation data. The data version is 4.2. Data coverage is from August 8, 2004 to current. Spatial coverage is near-global (-82 degrees to +82 degrees latitude), and files contain a full days worth of data (15 orbits). Users of the ML1OA data product should read the 'A Short Guide to the Use and Interpretation of v4.2x Level 1 Data' document for additional information.The data are stored in the version 5 Hierarchical Data Format, or HDF-5. Each file contains orbital and attitude information written as HDF-5 dataset objects (n-dimensional arrays), along with file attributes and metadata.
VIIRS/JPSS2 Imagery Resolution Terrain Corrected Geolocation 6-Min L1 Swath 375 m
The VIIRS/JPSS2 Imagery Resolution Terrain Corrected Geolocation 6-Min L1 Swath 375 m, short-name VJ203IMG is the Joint Polar-orbiting Satellite System-2 (JPSS-2/NOAA-21) platform-derived NASA Visible-Infrared Imaging-Radiometer Suite (VIIRS) L1 terrain-corrected geolocation product and contains the derived line-of-sight (LOS) vectors for each of the 375-m image-resolution or I-bands. The geolocation algorithm uses a number of inputs that include an Earth ellipsoid, geoid, and a digital terrain model along with the SNPP platform’s ephemeris and attitude data, and knowledge of the VIIRS sensor and satellite geometry. It produces geodetic coordinates (latitude and longitude), and related parameters for each VIIRS L1 pixel. The VJ203IMG product includes geodetic latitude, longitude, surface height above the geoid, solar zenith and azimuth angles, sensor zenith and azimuth angles, land/water mask, and quality flag for every pixel location. VJ203IMG provides a fundamental input to derive a number of VIIRS I-band higher-level products.The J2 VIIRS geolocation underwent an on-orbit validation. Geolocation errors of about 350 m in the along-scan direction and about 165 m in the along-track direction were corrected for the image-resolution bands and moderate-resolution bands. The Day-Night band (DNB) geolocation error of about 2000 m was corrected. Further, the geolocation biases in the scan profile were also corrected. For more information and documents, visit LAADS product page at:https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/VJ203IMG
Terra MODIS Level-1 Geolocation Product Data, version 1
MODIS (or Moderate-Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (EOS AM) and Aqua (EOS PM) satellites. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications). These data will improve our understanding of global dynamics and processes occurring on the land, in the oceans, and in the lower atmosphere. MODIS is playing a vital role in the development of validated, global, interactive Earth system models able to predict global change accurately enough to assist policy makers in making sound decisions concerning the protection of our environment.
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.