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101
datasets available to search
ShareScore release 0.9.0
Dataset results
101 results for “Spectral imaging”
Evaluation of the Risk of Cognitive Deficit After Surgery of Epilepsy by Dynamic Spectral Imaging (ISD) of the Cognitive Functions in Patients Explored in StereoElectroEncephaloGraphy (SEEG)
ClinicalTrials.gov study NCT03094312. IPD Sharing: NO. Countries: 1. Publications: 0.
Wound Assessment Using Spectral Imaging EU/UK
ClinicalTrials.gov study NCT05581966. IPD Sharing: NO. Countries: 1. Publications: 0.
Ocular Imaging With Spectral Domain Optical Coherence Tomography
ClinicalTrials.gov study NCT00926549. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparison of Spectral Photon Counting CT (SPCCT) With Dual Energy CT (DECT) and Magnetic Resonance Imaging (MRI) for Plaque and Lumen Carotid Arteries Evaluation
ClinicalTrials.gov study NCT04466787. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Fast Spectral Imaging Device for Tumor Margin Mapping
ClinicalTrials.gov study NCT01107080. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Preliminary Assessment of Added Diagnostic Value of Dual Energy CT Images Using Data Acquired on a Spectral Detector CT
ClinicalTrials.gov study NCT02760706. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparison of Imaging Quality Between Spectral Photon Counting Computed Tomography (SPCCT) and Dual Energy Computed Tomography (DECT)
ClinicalTrials.gov study NCT04328181. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Diagnostic Value of Flexible Spectral Imaging Color Enhancement (FICE) Plus Probe-based Confocal Laser Endomicroscopy (pCLE) for Minimal Change Esophageal Reflux Disease (MERD) Diagnosis
ClinicalTrials.gov study NCT02336100. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Assessment of Plaque Vulnerability Using a Novel Technique: Multi-spectral PhotoAcoustic Imaging.
ClinicalTrials.gov study NCT04763603. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Intra-procedural Spectral CT for Image-guided Embolization and Ablation in Interventional Oncology
ClinicalTrials.gov study NCT07303725. IPD Sharing: NO. Countries: 1. Publications: 0.
A Novel Optical Spectral Imaging System for Imaging Breast Tumor Margins
ClinicalTrials.gov study NCT01372631. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Wound Assessment Using Spectral Imaging US
ClinicalTrials.gov study NCT05415683. IPD Sharing: NO. Countries: 1. Publications: 0.
Global Hyperspectral Imaging Spectral-library of Agricultural crops for Central Asia V001
The Global Hyperspectral Imaging Spectral-library of Agricultural crops (GHISA) is a comprehensive compilation, collation, harmonization, and standardization of hyperspectral signatures of agricultural crops of the world. This hyperspectral library of agricultural crops is developed for all major world crops and was collected by United States Geological Survey (USGS) and partnering volunteer agencies from around the world. Crops include wheat, rice, barley, corn, soybeans, cotton, sugarcane, potatoes, chickpeas, lentils, and pigeon peas, which together occupy about 65% of all global cropland areas. The GHISA spectral libraries were collected and collated using spaceborne, airborne (e.g., aircrafts and drones), and ground based hyperspectral imaging spectroscopy.The GHISA for Central Asia (GHISACASIA) Version 1 product provides dominant crop data (wheat, rice, corn, alfalfa, and cotton) in different growth stages across the Galaba and Kuva farm fields in the Syr Darya river basin in Central Asia. The GHISA hyperspectral library for the two irrigated areas was developed using Earth Observing-1 (EO-1) Hyperion hyperspectral data acquired in 2007 and ASD (Analytical Spectral Devices, Inc.) Spectroradiometer data acquired in 2006 and 2007. GHISACASIA is extracted from three Hyperion hyperspectral images and several thousands of field ASD Spectroradiometer data. Measurements were taken from 1,232 randomly chosen points scattered across the two farm sites throughout the growing season. All the processing algorithms are coded in Statistical Analysis System (SAS) format and available for download.Provided in the .xlsx files are the spectral library including image information, plot IDs, study area, instrument, Julian or acquisition date, and crop type labels for Central Asia sample fields.
High Spectral Resolution, High Cadence, Imaging X-ray Microcalorimeters for Solar Physics - Phase 2 Project
<p> Microcalorimeter x-ray instruments are non-dispersive, high spectral resolution, broad-band, high cadence imaging spectrometers. We have been developing these instruments for x-ray astrophysics for over 25 years and have successfully flown them on both suborbital and orbital observatories. Microcalorimeter spectrometers are true spatial-spectral event-driven instruments. The core instrument for the Astro-H observatory to be launched in 2014 and for the International X-ray Observatory planned for around 2022 [1] are both microcalorimeter spectrometers. For the past two years, supported by the Solar and Heliospheric ROSES program, we have been adapting this highly successful technology to the very different requirements of solar physics. This leverages the large NASA investment in this technology to produce instruments optimized for solar physics with only a moderate development program.</p> <p> During the past two years, we have developed a high spatial resolution, high cadence microcalorimeter optimized for solar observations with a ground-breaking spectral resolving power of nearly 3000 at 6 keV. This exceeds the performance goals of our program. In fact, the single-pixel performance achieved during this program is already sufficient for a solar optimized instrument as described in section 2, albeit using small arrays of detectors. We propose here to continue this successful program by developing large focal-plane arrays, optimized for solar physics and their read-out systems. This complements our existing development programs in astrophysics, where we have already produced and tested kilo-pixel arrays for IXO. The end-result of the proposed work will be a solar-optimized detector system proven and ready for integration into a suborbital payload and then onto a space-borne observatory. Both the suborbital program and an orbital instrument would allow high cadence spatial-spectral observations across the x-ray band from 0.1 to above 10 keV, enabling new science as described in section 1.4. Ultimately this will produce instrumentation suitable for deployment on an Explorer-class mission and, possibly, a remote sensing contribution to the Solar Energetic Particle Acceleration and Transport (SEPAT) Solar-Terrestrial Probe [2]. &nbsp;</p>
Development of Immersion Gratings to Enable a Compact Architecture for High Spectral and Spatial Resolution Imaging Project
<p> Fabricate Si immersed gratings for IR (1150 &ndash; 6500 nm) spectroscopy to support ground-based, airborne, and space-based infrared spectrometers.<br /> These devices offer substantial advantages in compactness, formatting, and efficiency over other dispersive devices and have 3.44 times the resolving power of a conventional front-surface device for a grating of a given size.<br /> &nbsp;</p>
Global Hyperspectral Imaging Spectral-library of Agricultural crops for Conterminous United States V001
The Global Hyperspectral Imaging Spectral-library of Agricultural crops (GHISA) is a comprehensive compilation, collation, harmonization, and standardization of hyperspectral signatures of agricultural crops of the world. This hyperspectral library of agricultural crops is developed for all major world crops and was collected by United States Geological Survey (USGS) and partnering volunteer agencies from around the world. Crops include wheat, rice, barley, corn, soybeans, cotton, sugarcane, potatoes, chickpeas, lentils, and pigeon peas, which together occupy about 65% of all global cropland areas. The GHISA spectral libraries were collected and collated using spaceborne, airborne (e.g., aircraft and drones), and ground based hyperspectral imaging spectroscopy. The GHISA for the Conterminous United States (GHISACONUS) Version 1 product provides dominant crop data in different growth stages for various agroecological zones (AEZs) of the United States. The GHISA hyperspectral library of the five major agricultural crops (e.g., winter wheat, rice, corn, soybeans, and cotton) for CONUS was developed using Earth Observing-1 (EO-1) Hyperion hyperspectral data acquired from 2008 through 2015 from different AEZs of CONUS using the United States Department of Agriculture (USDA) Cropland Data Layer ([CDL](https://nassgeodata.gmu.edu/CropScape/)) as reference data.GHISACONUS is comprised of seven AEZs throughout the United States covering the major agricultural crops in six different growth stages: emergence/very early vegetative (Emerge VEarly), early and mid vegetative (Early Mid), late vegetative (Late), critical, maturing/senescence (Mature Senesc), and harvest. The crop growth stage data were derived using crop calendars generated by the Center for Sustainability and the Global Environment ([SAGE](https://nelson.wisc.edu/sage/)), University of Wisconsin-Madison. Provided in the CSV file is the spectral library including image information, geographic coordinates, corresponding agroecological zone, crop type labels, and crop growth stage labels for the United States.
Image Data Collection of Tanned Skin During Phototherapy Treatment Using a Multi-spectral Camera
ClinicalTrials.gov study NCT05692544. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Comparison of a Spectral OCT/SLO With the Stratus OCT for Imaging Various Retinal Pathologies
ClinicalTrials.gov study NCT00408720. IPD Sharing: Not stated. Countries: 1. Publications: 0.
CH1-ORB MOON M3 4 L1B RADIANCE NEAR-IR SPECTRAL IMAGES V3.0
This dataset contains pixel located, radiometrically-calibrated data collected by M3 instrument on Chandrayaan-1.
CASSINI ORBITER SATURN UVIS SPATIAL SPECTRAL IMAGE CUBE V1.4
Spectrographic observations of Jupiter, Saturnian rings, satellites, atmospheres and the interplanetary medium in the far and extreme ultraviolet.
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.