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.
16
datasets available to search
ShareScore release 0.9.0
Dataset results
16 results for “Radiometry”
In situ smartphone radiometry of Lake Balaton, MONOCLE H2020 project
<p>This dataset includes in situ radiometric data collected from Lake Balaton and Kis-Balaton, Hungary during July 3<sup>rd</sup> – July 5<sup>th</sup>, 2019 within the framework of Horizon 2020 MONOCLE project.</p> <p>The Python code used to analyse the data and produce the summary tables, and which should be used to read the data in, can be found here: <a href="https://github.com/burggraaff/smartphone-water-colour">https://github.com/burggraaff/smartphone-water-colour</a></p> <p>The data are structured as follows:</p> <p>"Balaton_2019070x" - These folders contain the RAW and JPEG smartphone images, sorted by station, time, and smartphone. Each low-level subfolder includes the RAW and JPEG images and a CSV file with the derived radiance, R_rs, and other values.</p> <p>"Discarded_data" - These folders contain RAW and JPEG smartphone images that were not used, organised in the same way as "Balaton_2019070x". They are included here for completeness. Each subfolder contains a file explaining why the data were not used.</p> <p>"Greycard" - This folder contains the RAW smartphone images used to characterise the angular response of the grey card. Also included are the derived mean/uncertainty values in .NPY format.</p> <p>"BALATON_2019_STATION_LOG" - This worksheet contains the station log of the MONOCLE field campaign at Lake Balaton in 2019, during which our field data were taken.</p> <p>"balaton_xxx_18pct.csv" - These CSV files contain summaries of the data derived from the smartphone RAW images, including radiance, R_rs, etc. They are most easily read in using the Python code linked above. These files were generated by stacking the individual CSV files from each station/time/smartphone. The filename indicates the smartphone and data type.</p> <p>"balaton_Samsung_Galaxy_S8_raw_replicates.csv" - This CSV file contains the relative uncertainty (R/G/B and band ratios, in %) and absolute uncertainty (hue angle and FU) in replicate Galaxy S8 measurements, as described in the paper.</p> <p>"greycard_data_Maine.csv" - This CSV file contains the data used to determine the spectral response of the grey card. It includes spectral measurements of the surface irradiance on a white panel and the grey card, and the downwelling irradiance measured with a cosine collector.</p> <p>"README.txt" - Description of the data.</p> <p>"So-Rad_Balaton2019.csv" - This CSV file contains the (ir)radiance data and R_rs from the So-Rad on 3 July 2019, processed using the 3C method, as described in the paper.</p> <p>"wisp_Balaton_20190703_20190705_table.csv" - This CSV file contains the (ir)radiance data and R_rs from the WISP-3 on 3-5 July 2019, processed using the Mobley method, as described in the paper.<br> </p>
Retrieval and Validation of Total Seasonal Liquid Water Amounts in the Percolation Zone of Greenland Ice Sheet Using L-band Radiometry
<p>This repository contains the dataset associated with the analyses presented in the following study:</p> <p>Hossan, A., Colliander, A., Vandecrux, B., Schlegel, N.-J., Harper, J., Marshall, S., and Miller, J. Z.: <em>Retrieval and validation of total seasonal liquid water amounts in the percolation zone of the Greenland Ice Sheet using L-band radiometry</em>, <strong>The Cryosphere</strong>, 19, 4237–4258, <a href="https://doi.org/10.5194/tc-19-4237-2025" target="_new">https://doi.org/10.5194/tc-19-4237-2025</a>, 2025.</p> <p>In this study, we demonstrated the capability of NASA's Soil Moisture Active Passive (SMAP) L-band radiometer to estimate surface and subsurface liquid water amounts (LWA) in the percolation zone of the Greenland Ice Sheet. The article presents our initial retrieval algorithm, validation results, and highlights the potential for developing a Greenland-wide LWA data product.</p> <p><strong>Contents of this Repository</strong></p> <p>This repository includes:</p> <ul> <li><strong>SMAP-retrieved daily, vertically integrated LWA gridded initial data products</strong> (2015–2023), derived from enhanced-resolution SMAP TB observations. These data include spatial coordinates, acquisition dates, and a melt flag indicator.</li> <ul> <li>SMAP_LWA_time_series_AWS contains daily time series at a AWS location (point observation)</li> <li>Samimi_EBM_LWA_time_series_AWS contains corresponding time series of LWA estimated by Samimi model forced by PROMICE AWS.</li> <li>GEMB_LWA_time_series_AWS contains corresponding time series of LWA estimated by GEMB model forced by PROMICE AWS</li> <li>The locations and name ID of the AWS are given in AWS.txt/xls file</li> <li>L_band_LWA_yyyy.nc files contain daily LWA and TB data over the entire percolation zone</li> </ul> <li><strong>Corresponding vertically polarized brightness temperature (TBV) data</strong>, including their winter mean and standard deviation.</li> <li><strong>Model-based LWA estimates used for validation</strong>, including outputs from:</li> <ul> <li>The locally calibrated <strong>Energy and Mass Balance (EMB)</strong> model.</li> <li>The <strong>Glacier Energy and Mass Balance (GEMB)</strong> model within NASA’s <strong>Ice-sheet and Sea-level System Model (ISSM)</strong>.</li> </ul> </ul> <p><strong>Retrieval and Validation Codebase</strong></p> <p>The MATLAB scripts and tools used for the microwave retrieval algorithm, radiative transfer modeling, inversion process, and comparative validation with in situ AWS-driven model outputs are available at the following GitHub repository:</p> <p>🔗 <a href="https://github.com/HossanAlamgir/SMAP_MWA_Retrieval_and_Validation_GrIS" target="_new">https://github.com/HossanAlamgir/SMAP_MWA_Retrieval_and_Validation_GrIS</a><br><em>(Last accessed: 17 September 2025)</em></p> <p>The codebase includes:</p> <ul> <li>Preprocessing routines for SMAP TB data.</li> <li>Implementation of the radiative transfer forward model.</li> <li>Inversion and threshold-based detection algorithms.</li> <li>Validation scripts for comparison against AWS-forced EMB and GEMB model outputs.</li> </ul> <p><strong>Relevance</strong></p> <p>These data and methods support ongoing efforts to improve surface mass balance (SMB) estimates and enhance projections of Greenland’s contribution to global sea level rise.</p> <p> </p>
BGC-Argo radiometry matchups with L2 satellite images from MODIS, VIIRS and OLCI sensors
<p> Diffuse attenuation coefficients(Kd) were computed from measured downwelling irradiance measurements from BGC-Argo floats. Matchups between satellite images and float profiles were then performed. Estimates of Kd at two different wavelengths and<br> band-integrated (PAR) were obtained from Remote Sensing Reflectance using different published algorithms developed for open ocean waters spanning in type from explicit-empirical, semi-analytical and implicit-empirical and applied to data from spectral radiometers on board six different satellites (MODIS-Aqua, MODIS-Terra, VIIRS–SNPP, VIIRS-JPSS, OLCI-Sentinel 3A and OLCI-Sentinel 3B).</p>
Dataset of paper "Evaluation of the uniformity of UVA LED illumination on flat surfaces: Discrete Ordinate Method, Single Axis, and Surface Scanning Radiometry"
<p>Dataset of paper "Evaluation of the uniformity of UVA LED illumination on flat surfaces: Discrete Ordinate Method, Single Axis, and Surface Scanning Radiometry"</p> <ul> <li>Maximum Horizontal Intensity plots from discrete ordinates model simulations</li> <li>Maximum Horizontal Intensity plots from radiometry scans</li> <li>Peak intensity measurements for a UV LED lamp using Radiometry and DOM simulations</li> <li>Power measurements from DOM and radiometry measurements across a flat surface for a UV LED lamp</li> <li>Homogeneity data of irradiance on a flat surface</li> </ul>
Multispectral Radiometry percent reflectance:Natural Enemies, Plant Diversity and Plant Community Composition
The purpose of this experiment is to determine the influences of natural enemies, including plant pathogenic fungi and insect pests, influence plant community composition, productivity, and diversity over time. The experiment is being conducted in a subset of plots within the Big Biodiversity field, including monoculture, 2-species, 4-species, 8-species, 16-species, and 32-species plots. There are 5 different treatments: foliar fungicide, soil drench fungicide, foliar insecticide, the combination of all pesticides, and nontreated control. The pesticides are applied repeatedly throughout the growing season. Within the plots, community productivity, species composition, percent cover, and pest damage are being quantified over time.
Data for paper "Low Uncertainty Thermodynamic Temperature Above the Silver Point Using Relative Primary Radiometry" submitted to ITS10: International Temperature Symposium, Anaheim 2023
<p>Data and evaluation used to set up a thermodynamic temperature scale in line with the mise-en-pratique for the definition of the kelvin and associated uncertainty budget.</p> <p>Used to assign temperatures to fixed points as part of 18SIB02 “Realising the redefined kelvin” </p> <p>Presented at, and an open access paper submitted to proceedings of, ITS10: International Temperature Symposium Anaheim USA 2023</p>
Comparative Study of Microwave Radiometry and Ultrasonography for the Diagnosis of Acute Appendicitis
ClinicalTrials.gov study NCT02108340. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
Passive Microwave Radiometry (MWR) and AI for COVID-19 Complications Early Diagnostics of Lungs
ClinicalTrials.gov study NCT04568525. IPD Sharing: NO. Countries: 1. Publications: 6.
Treatment and Companion Diagnostics of Lower Back Pain Using SCENAR and Passive Medical Radiometry (MWR)
ClinicalTrials.gov study NCT05223946. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Multispectral Radiometry percent reflectance:The influence of natural enemies on plant community composition and productivity
The purpose of this experiment is to determine the influences of natural enemies, including plant pathogenic fungi and insect pests, influence plant community composition, productivity, and diversity over time. The experiment is being conducted in an old field that is burned every other year. Within the old field, there are 8 blocks, and within each block there are 6 treatments: foliar fungicide, soil drench fungicide, foliar insecticide, mammal exclosure, the combination of all enemy suppression tactics (pesticides and mammal exclosure), and a nontreated control. The pesticides are applied repeatedly throughout the growing season. Within the plots, community productivity, species composition, percent cover, and pest damage are being quantified over time.
Microwave Radiometry for the Diagnosis and Monitoring of Breast Cancer
ClinicalTrials.gov study NCT02514837. IPD Sharing: Not stated. Countries: 0. Publications: 8.
Microwave Radiometry Thermometry for the Diagnosis of Critical Limb Ischemia in Diabetic Patients
ClinicalTrials.gov study NCT03002116. IPD Sharing: UNDECIDED. Countries: 2. Publications: 0.
PACE Radiometry and IOPs for Novel Great Lakes Science
The Laurentian Great Lakes provide extensive optical and trophic variability across diverse ecosystems, from environments challenged by current and legacy nutrient pollution and continuing water quality impairments, e.g., harmful algal blooms (HABs) and hypoxia, to relatively pristine aquatic systems with emerging water quality concerns such as Lake Superior. This project will conduct high density sampling of the Great Lakes in space and time to provide a diversity of reflectance spectra broadly representative of the fundamental inherent optical properties (IOPs) and biogeochemical conditions observed across inland and coastal systems globally. Station locations are responsive to in situ conditions and potential for PACE validation, but are generally located in Lake Eries western and central basins, southwestern Lake Michigan and Green Bay, and the central basin and the western arm of Lake Superior. Sampling uses coastal class vessels that enable rapid transit between stations and range in size from 25 to 70 ft. Data collected includes above water radiometry (SVC HR-512i), discrete spectral absorption (ap, aph, aNAP, aCDOM), hyperspectral backscattering (Sequoia hyper-bb), physical and optical biogeochemical variability (YSI EXO2 water quality sonde), and discrete biogeochemical parameters (HPLC pigments, DOC, POC, and SPM). Data will be collected in every month of the year over the course of a three-year period, ensuring seasonal matchups for PACE OCI science data products in the winter and shoulder seasons that remain chronically under observed.
MOLA PRECISION RADIOMETRY DATA RECORD
The Mars Orbiter Laser Altimeter not only provides surface topography from the laser pulse time-of-flight, but also two radiometric measurements, the active measurement of transmitted and reflected laser pulse energy, and the passive measurement of reflected solar illumination. The passive radiometry measurement is accomplished in a novel fashion by monitoring the noise density at the output of the photodetector and solving for the amount of background light. The passive radiometry measurements provide images of Mars at 1064-nm wavelength over a 2 nm bandwidth with sub-km spatial resolution and with 2% or better precision under full illumination.
TIMED Sounding of the Atmosphere using Broadband Emission Radiometry (SABER)IR Radiances in 10 channels (1.27 to 17ym) from 0 to 150 km, Version 1.07, Level 1B (L1B), 42 s Data
Contains the SABER Level 1B calibrated radiance profiles converted to radiance units with instrument effects removed, geolocated and gridded to uniform angle spacing.
MOLA PRECISION RADIOMETRY DATA RECORD
The Mars Orbiter Laser Altimeter not only provides surface topography from the laser pulse time-of-flight, but also two radiometric measurements, the active measurement of transmitted and reflected laser pulse energy, and the passive measurement of reflected solar illumination. The passive radiometry measurement is accomplished in a novel fashion by monitoring the noise density at the output of the photodetector and solving for the amount of background light. The passive radiometry measurements provide images of Mars at 1064-nm wavelength over a 2 nm bandwidth with sub-km spatial resolution and with 2% or better precision under full illumination.
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.