Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
13
datasets available to search
ShareScore release 0.9.0
Dataset results
13 results for “Synthetic Aperture Radar”
Additional Visualizations for Glacier Calving Front Delineation on Synthetic Aperture Radar Imagery
<p>Additional visualizations showing the time series of each glacier included in the <a href="https://doi.pangaea.de/10.1594/PANGAEA.940950" target="_blank" rel="noopener">CaFFe</a> dataset and comparing predictions from different deep learning models and human annotations for glacier calving front delineation on Synthetic Aperture Radar imagery.</p>
Use of synthetic aperture radar data for the determination of vegetation indices
<p>Database for the article "Use of synthetic aperture radar data for the determination of vegetation indices"</p>
Data for: Grounding zone of Amery Ice Shelf, Antarctica, from differential synthetic-aperture radar interferometry
Open the record for dataset details and reuse information.
Automatic delineation of glacier grounding lines in differential interferometric synthetic-aperture radar data using deep learning
Open the record for dataset details and reuse information.
Seismic Deformation of Himalayan Glaciers Using Synthetic Aperture Radar Interferometry, Supplementary Material
Open the record for dataset details and reuse information.
JERS-1 Synthetic Aperture Radar, 100-m Mosaics, South America: 1995-1996, R1
This data set provides ~100-m resolution image mosaics of South America acquired during the low flood season between September and December 1995 and during the high flood season between May and July of 1996. The images cover the same areas during both seasons and were obtained from the Japanese Earth Resources Satellite 1 (JERS-1) Synthetic Aperture Radar (SAR) of the National Space Development Agency of Japan (NASDA). The data were mosaicked into 34 tiles for each season, each consisting of about 50 JERS-1 scenes. This data set constitutes the first-ever high-resolution and single season coverage of the entire Amazon River Basin, made possible by the cloud penetrating properties of the radar sensor. The images are from the original JERS-1 SAR Global Rain Forest Mapping Project. This data set contains 66 files in GeoTIFF (.tiff) format. There are 32 files for the low flood season and 34 files for the high flood season.
CLPX-Airborne: Airborne Synthetic Aperture Radar (AIRSAR) Imagery, Version 1
Airborne Synthetic Aperture Radar (AIRSAR) is a side-looking imaging radar that is able to collect data irrespective of daylight or cloud cover. The AIRSAR instrument operated in two modes over each Cold Land Processes Field Experiment (CLPX) Meso-cell Study Area (MSA). In the first mode (POLSAR), polarimetric radar data were collected at P-, L-, and C-bands. In the second mode (TOPSAR), cross-track interferometry data were collected at C- and L-bands.
SMEX02 Airborne Synthetic Aperture Radar (AIRSAR) Data, Iowa, Version 1
This data set contains radar backscatter measurments taken over the Soil Moisture Experiments 2002 (SMEX02) Walnut Creek Watershed area in Iowa, USA.
LBA-ECO LC-15 JERS-1 Synthetic Aperture Radar, 1- km Mosaic, Amazon Basin: 1995-1996
This data set contains two image mosaics of L-band radar backscatter and two image mosaics of first order texture. The two backscatter images are mosaics of L-band Radar Backscatter at Horizontal-Horizontal (HH) Polarization created from 1,500 images collected by the Japanese Earth Resources Satellite-1 (JERS-1) Synthetic Aperture Radar (SAR) over the Amazon River Basin as part of the Global Rainforest Mapping Project (GRMP). These backscatter image mosaics were developed using data collected over 62 days from August to November of 1995 for the peak of the dry season and for 62 days from May to June of 1996 during the peak of the wet season. The two image mosaics are at 3 arc-sec resolution. Data provided under this project are resampled images at 30 arc-sec resolution (or about 1 km resolution). For each radar backscatter image, first order texture statistical information was derived and is distributed along with the image mosaic.This data set contains four images each in both geotiff and ENVI formats, provided in eight zip files. The four files in ENVI file format contain “_envi” in their file name and when extrapolated contain an envi image (*_envi.dat) and an envi image header file (_envi.hdr). The four files in geotiff format contain “_geotiff” in their file name and when extrapolated contain *.tif and *.tfw file pairs. See Section 2 for more information about the characteristics of these data files.
Synthetic Aperture Radar Detection of Breast Tumours
ClinicalTrials.gov study NCT02493595. IPD Sharing: Not stated. Countries: 1. Publications: 0.
SMEX03 Airborne Synthetic Aperture Radar (AIRSAR) Data: Oklahoma, Version 1
Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited.This data set contains radar soil moisture measurements taken over the Soil Moisture Experiment 2003 (SMEX03) regional study areas in Oklahoma, USA. The Airborne Synthetic Aperture Radar (AIRSAR) instrument was mounted on a DC-8 aircraft that flew over the area six days during the study period.
SnowEx17 SnowSAR Multi-look Synthetic Aperture Radar Backscatter Amplitude Images V001
This data set, part of the SnowEx 2017 campaign, contains multi-look synthetic aperture radar (SAR) amplitude images. The images are stored in netCDF files; browse images are also available. Data were collected using the SnowSAR instrument at the X (9.6 GHz) and Ku (17.25 GHz) bands. The SnowSAR instrument flew on the NP-3C Orion aircraft and captured data from across Colorado, including near the SnowEx 2017 Grand Mesa, Colorado study site and Vail, Colorado. Data were acquired between 16 February 2017 and 22 February 2017 and have a resolution of 1 meter by 1 meter.
Interferometric Synthetic Aperture Radar (IFSAR) Alaska
The U.S. Geological Survey (USGS) National Geospatial Program (NGP) developed the Alaska Mapping Initiative (AMI) to collaborate with the State and other Federal partners to acquire 3-dimensional elevation data to improve statewide topographic maps for Alaska. AMI coordinates Federal activities through the Alaska Mapping Executive Committee (AMEC) and State efforts through Alaska's Statewide Digital Mapping Initiative (SDMI) to ensure a unified approach for consistent data acquisition and enhancement of elevation data products. AMI attained interferometric synthetic aperture radar (IFSAR) to generate digital elevation model (DEM) data. This radar mapping technology is an effective tool for collecting data in challenging circumstances such as cloud cover, extreme weather conditions, rugged terrain, and remote locations. Airborne IFSAR data were flown over South Central Alaska in the summer of 2010 and over Northwest Alaska in 2012.
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.