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24 results for “Optical parameters”
Mueller matrix imaging combining optical parameters of mice non-melanoma skin cancer tissue
<p>The dataset consists of the Mueller matrix elements and optical parameters acquired from the backscattered light using a CCD camera and Mueller matrix imaging technique.</p><p>This dataset contains 90 samples including 20 feature vectors for SCC, 33 feature vectors for normal and 37 feature vectors for papilloma.</p>
Detecting cosmic voids via maps of geometric optics parameters
<ul> <li>lensing-ddbb4ac.pdf - research data in pdf format</li> <li>void_matches*.dat - plain text results files corresponding to Table 3 and Figures 2, 4, 6, 8.</li> <li>lensing-ddbb4ac-journal.tar.gz - source package for producing the article pdf, together with the reproducibility package, but without the git history; appropriate for ArXiv</li> <li>lensing-ddbb4ac-git.bundle - git source package that can be unbundled with 'git clone lensing-e4f7af0-git.bundle' and used for reproducibility: to download data, do calculations, analyse them, plot them and produce the research data pdf</li> <li>software-ddbb4ac.tar.gz - this should contain all the software, apart from a minimal POSIX-compatible system and LaTeX packages, needed for compiling and installing the software used in producing this work</li> <li>lensing-ddbb4ac-snapshot.tar.gz - source files of the project; these should be enough, provided that external software packages can be downloaded, to reproduce the full project</li> </ul> <p>The authors grant a perpetual, non-exclusive licence to distribute this pdf preprint.</p> <p>All the other materials here are free-licensed, as stated in the individual files and packages.</p>
Database of optical parameters for the simulation of perovskite/silicon solar cells
<p>This dataset contains a set of representative optical parameters, i.e. the wavelength dependent complex refractive index (n+ik), for common materials used in perovskite-silicon tandems. In particular: SnO2, Spiro-MEOTAD, CH3NH3PbI2, a-Si:H, undoped c-Si, MgF.<br> The data are stored in the ASCII file “<em>nk_MaterialParameters.txt</em>”, where for each material, we report three data columns: wavelength (in µm), refractive index <em>n</em> and extinction coefficient <em>k</em>.</p>
MCR LTER: Coral Reef: Optical parameters and SST from SeaWiFS and MODIS, ongoing since 1997 and AVHRR-derived SST from 1985 to 2009
Monthly averages of the Sea Surface Temperature (SST), the Sub-surface chlorophyll-a concentration (Chl), the colored dissolved and detrital organic materials at 443 nm (acdm[443]) and the particulate backscattering coefficient at 443 nm (bbp[443]) around Moorea are obtained or derived from satellite data (SST from AVHRR and MODIS-Aqua; Chl, acdm[443] and bbp[443] from SeaWiFS and MODIS-AQUA). The satellite data are averaged over a 1 month period for geographic areas of 16S-19S/147W-151W (SeaWiFS and MODIS-AQUA) and 15S-20S/145W-155W for AVHRR. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2022). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
Figure 1 in Exploring the dynamics of small pelagic fish catches in the Marmara Sea in relation to changing environmental and bio-optical parameters
Figure 1. Time series of deseasonalised Chl-a, net primary productivity (NPP), and sea surface temperature (SST). Solid lines show the time series, dash-dot lines show the deseasonalised time series, dashed lines indicate their respective nonlinear trends, and flat solid lines show linear trend components.
Figure 2 in Exploring the dynamics of small pelagic fish catches in the Marmara Sea in relation to changing environmental and bio-optical parameters
Figure 2. Time series of fisheries catches (tons) and fishing effort in the Marmara Sea between 2000 and 2019. Flat solid lines indicate linear trends.
Accurate lattice parameters from 3D electron diffraction data I: Optical distortions
<p>3D ED data were measured with an FEI Tecnai G2 20 transmission electron microscope equipped with an Olympus SIS Veleta camera (CCD, 14 bit, 2048 x 2048 px) and a NanoMEGAS Digistar precession unit.</p> <p>Supporting information for article submitted to a scientific journal. Examples 1 and 2 including manuals and command files for optical distortions refinement in 3D ED data using PETS2 software.</p> <p>Manuals for the examples are available as the supporting information of the submitted article.</p>
Dataset of paper "Critical assessment of optical sensor parameters for the measurement of ultraviolet LED lamps"
<p>Dataset of paper "Critical assessment of optical sensor parameters for the measurement of ultraviolet LED lamps"</p> <ul> <li>Sensor specifications</li> <li>Peak wavelength of light sources studied. </li> <li>Relative spectral intensity of each light source.</li> <li>Angle of Acceptance of sensors.</li> <li>Summary of angular response of detectors.</li> <li>Change of acceptance angle of detectors with wavelength.</li> <li>Raw reference counts as measured by a saturated and unsaturated sensor.</li> <li>Change in measured intensity with integration time.</li> <li>Effect of temperature on intensity measured by the sensor. </li> <li>Comparison between sensor measurements.</li> </ul>
Satellite-ground synchronous in-situ dataset of water optical parameters and surface temperature for typical lakes in China
<p>Remote sensing technology has the potential to significantly enhance the lakes large-scale and long-term dynamic monitoring capabilities. High-quality in-situ datasets are essential for improving the accuracy and reliability of remote sensing retrieval of water optical parameters. This dataset provides satellite-ground synchronized in-situ data on water optical parameters for typical lakes in China spanning the period between 2020 and 2023. The dataset includes quality-checked remote sensing reflectance ( ) data and water optical parameter data for chlorophyll-a (Chl-a), total suspended matter (TSM), Secchi disk depth (SDD), andwater surface temperature (WST). It encompasses 586 sampling points across 18 lakes. The dataset exhibits two significant highlights: Firstly, synchronous observations from multiple satellites are coordinated during the data collection process, effectively supporting the retrieval and validation of water remote sensing products. Secondly, it encompasses diverse data types, collecting synchronous measurements of and various water optical parameters. This dataset will be continuously updated, thereby making a substantial contribution to enhancing regional and global lake monitoring capabilities through satellite remote sensing data.</p>
Dataset for the article : Non-invasive estimation of in vivo optical properties and hemodynamic parameters of domestic animals: a preliminary study on horses, dogs, and sheep
<div> <div> <div> <div> </div> </div> </div> </div> <div> <div> <div> <div> <div> <div> <p>This dataset includes all the necessary data to understand and replicate the figures and tables presented in the article titled "Non-invasive Estimation of In Vivo Optical Properties and Hemodynamic Parameters of Domestic Animals: A Preliminary Study on Horses, Dogs, and Sheep." Specifically, it contains the raw measurement curves, along with the optical and hemodynamic parameters derived from the analysis of these raw data.</p> </div> </div> </div> </div> </div> </div>
Field measurements of aquatic optics parameters for Lake Mulargia (Sardinia, Italy)
<p>This dataset contains aquatic optics parameters (remote sensing reflectance, backscattering depth profiles, absorption coefficients, Water Quality Parameters-WQP) of Lake Mulargia (Sardinia, Italy) collected by ENAS and CNR.</p>
Physics‐Based Narrowband Optical Parameters for Snow Albedo Simulation in Climate Models
<p>This is a supplementary file for a submitted paper"Physics-based effective broadband optical parameters for snow albedo simulation in climate models".</p> <p>The authors derived a set of snow optical properties that effective in broadband snow radiative transfer simulation. These parameters are physically-based. </p>
Comparison Between Anterior Segment Optical Coherence Tomography and Ultrasound Bio Microscopy Parameters in Glaucoma Assessment
ClinicalTrials.gov study NCT05730478. IPD Sharing: UNDECIDED. Countries: 1. Publications: 6.
FLUID: Bio-optical water quality parameters (in-situ 2017-2019) in 4 Baltic lakes
<p>The database consists bio-optical measurements done under FLUID<sup>1</sup> project in 4 different lakes (Burtnieks, Lubans, Razna and Võrtsjärv) during 2017-2019.</p> <p>The listed parameters are: </p> <ul> <li>LAKE (name)</li> <li>DATE </li> <li>TIME (local time)</li> <li>LAT (latitude)</li> <li>LON (longitude)</li> <li>Air T (air temperature in Celcius)</li> <li>Water T (water temperature in 0.5 m depth in Celcius)</li> <li>DO (dissolved oxygen in ppm)</li> <li>O2 (O2 saturation in %)</li> <li>Secchi (in meters)</li> <li>Chl a (chlorophyll-a in mg/m3)</li> <li>Pheo (pheopigments in mg/m3) </li> <li>TSS (total suspended sediments in mg/l)</li> <li>OSS (organinc suspended sediments in mg/l)</li> <li>MSS (mineral suspended sediments in mg/l)</li> <li>CDOM (absorption of coloured dissolved organic matter at 400 nm)</li> <li>TN (total nitrogen in mg/l)</li> <li>TP (total phosphorus in mg/l)</li> <li>CO2 (carbon dioxide in mg/l)</li> </ul> <p><sup>1</sup>FLUID is funded by ERDF, Latvian state budget and IES proposal No.1.1.1.2/VIAA/1/16/137, Contract No. 1.1.1.2/16/I/001 “Innovative tool for lake monitoring using remote sensing data"</p>
Clinical Study of the Optic Disc Parameters
ClinicalTrials.gov study NCT02277119. IPD Sharing: NO. Countries: 1. Publications: 0.
"Predicting Glaucoma Progression With Optical Coherence Tomography Structural and Angiographic Parameters".
ClinicalTrials.gov study NCT04646122. IPD Sharing: Not stated. Countries: 0. Publications: 2.
Measurment of Optic Disc Parameters, RNFL Thickness and Ganglion Cell Complex in Myopic, Hypermetropic and Emmetropic Patients Using OCT and Axial Length Measurments
ClinicalTrials.gov study NCT07241806. IPD Sharing: UNDECIDED. Countries: 0. Publications: 1.
Effects of Marihuana Use on Optic Nerve Parameters and Ocular Blood Flow
ClinicalTrials.gov study NCT02080676. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Correlation of Optic Disk Morphology and Ocular Perfusion Parameters in Patients With Primary Open Angle Glaucoma
ClinicalTrials.gov study NCT00803504. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of the Relationship Between Optic Nerve Diameter and Optic Nerve Sheath Diameter Measured by Transorbital Sonography With Clinical, Radiological, and Electrophysiological Parameters in Mult
ClinicalTrials.gov study NCT06533930. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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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.