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4,681 results for “light”
North Temperate Lakes LTER: Light Extinction 1981 - current
A light (PAR) extinction coefficient is calculated for the water column for the eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout, Crystal Bog, Trout Bog, Mendota, Monona, Wingra, and Fish) and two additional lakes near Madison, Wisconsin (Waubesa and Kegonsa). Data exists only for the Trout Lake-area lakes through 2018. Beginning in 2019, the Madison-area lakes were added. The fraction of surface light is computed at 0.25-m to 1-m depth intervals depending on the lake. The light (PAR) extinction coefficient is calculated by regressing ln(fraction of light(z)) on depth z. Sampling Frequency: fortnightly during ice-free season - every 6 weeks during ice-covered season Number of sites: 13. The raw light data can be found in two other datasets: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-ntl&identifier=29 & https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-ntl&identifier=401
Water column primary production from inorganic carbon uptake for 24h at simulated in situ light levels in deck incubators, collected at Palmer Station Antarctica during Palmer LTER field seasons, 1994-2025.
Primary Production experiments were led by Vernet from the 1994-1995 season through the 2006-2007 season. Schofield is the current lead, beginning in the 2009-2010 season. Methods have been kept consistent as much as possible over the full time series and different Principal Investigators. Primary production is the uptake of inorganic carbon and assimilation of it into organic matter by phytoplankton. Primary production rates, expressed as mgC per m3 per day were measured by the uptake of radioactive (14C) sodium bicarbonate. Water samples are collected throughout the water column at stations within the Palmer LTER region (primarily B and E, to 50m and 65m respectively). Beginning in the 2020-2021 season, Station B is no longer sampled. Water is put into borosilicate bottles, inoculated with 1 uCi of NaH14CO3 per bottle, and incubated in an outdoor deck incubator. The incubator is plumbed to the Palmer Station sea water system to maintain ambient seawater temperature and bottles are screened to in situ light levels. The uptake of 14C-bicarbonate by the phytoplankton was measured in a scintillation counter after a 24-hour incubation period. Primary production experiments were not conducted during the 2020-2021 nor 2023-2024 field seasons. There was no field season in 2021-2022.
Water column primary production from inorganic carbon uptake for 24h at simulated in situ (SIS) light levels in deck incubators, collected aboard Palmer LTER annual cruises off the coast of the Western Antarctic Peninsula, 1995 – 2023.
Primary Production experiments were led by Vernet from 1995-2008. Schofield is the current lead, beginning in 2009. Methods have been kept consistent as much as possible over the full time series and different Principal Investigators. Primary production is the uptake of inorganic carbon and assimilation of it into organic matter by phytoplankton. Primary production rates, expressed as mgC per m3 per day were measured by the uptake of radioactive (14C) sodium bicarbonate. Water samples are collected throughout the water column at stations along the Western Antarctica Peninsula at regular PAL-LTER grid stations. Water is put into borosilicate bottles, inoculated with 1 uCi of NaH14CO3 per bottle, and incubated in an outdoor deck incubator. The incubator is plumbed to the ship sea water system to maintain ambient seawater temperature and bottles are screened to in situ light levels. The uptake of 14C-bicarbonate by the phytoplankton was measured in a scintillation counter after a 24-hour incubation period. Data is unavailable for the LMG16-01 cruise due to measurement issues. Data is temporarily unavailable for the LMG20-01 cruise. Primary production experiments were not conducted during the 2022 (NBP21-13) nor 2024 (LMG24-01) cruises. There was no cruise in the austral summer of 2021.
Somatosensory phase-encoded bilateral full-body light touch stimulation
Open the record for dataset details and reuse information.
Dataset for "InGaN Nanohole Arrays Coated by Lead Halide Perovskite Nanocrystals for Solid-State Lighting"
<p>In this work, we demonstrate efficient light downconversion via FRET in InGaN/GaN multiple quantum well (MQW) nanohole arrays, coated with green-emitting CsPbBr3 and FAPbBr3 nanocrystals (NCs) and near-infrared (IR) FAPbI3 NC overlayers for solid-state lighting. Patterning the InGaN MQW into nanohole arrays allows a minimum nitride−NC separation while increasing the heterointerfacial area, thus improving simultaneously the nonradiative and radiative transfer efficiencies. Detailed spectroscopic studies of steady-state and time-resolved photoluminescence indicate a significant reduction in the quantum well photoluminescent decay time in the presence of NCs, accompanied by a significant concurrent increase of the NC integrated emission, providing evidence of efficient light down-conversion mediated by FRET with efficiencies as high as ∼83 ± 6% in the green and ∼74 ± 5% in the near-IR.</p>
The Unfolding Journey of Superoxide Dismutase 1 Barrels Under Crowding: Atomistic Simulations Shed Light on Intermediate States and Their Interactions With Crowders
<p>This data accompanies the article entitled <em>The Unfolding Journey of Superoxide Dismutase 1 Barrels Under Crowding: Atomistic Simulations Shed Light on Intermediate States and Their Interactions With Crowders</em>, published in J. Phys. Chem. Lett. (<a href="https://doi.org/10.1021/acs.jpclett.0c00699">https://doi.org/10.1021/acs.jpclett.0c00699</a>).</p> <p><strong>01_SOD1bar_unfolding_REST2.zip: </strong>The zip archive includes REST2 trajectories for the three systems investigated in the paper: 1:1 packing, 2:1 packing, and the dilute case. The trajectories are saved in the GROMACS XTC file format, separately for each temperature (i=0,...,23). Given the large trajectory sizes, only protein coordinates (SOD1bar + crowders) are reported, and the output frequency is reduced to 100 ps. A starting geometry (in the Gromos87 GRO format) after equilibration of the initial packing is provided for each REST2 simulation (conf_prot.gro). Moreover, for each REST2 simulation, an xarray (http://xarray.pydata.org) dataset, saved in the netCDF file format, is included with computed fraction of native contacts, secondary structure content, and the Calpha RMSD of the barrel core (beta sheets beta1 - beta8) with respect to the crystal structure.</p> <p><strong>02_SOD1bar_geometries_representative_unfolding.zip:</strong> Representative SOD1bar geometries along the unfolding pathway (presented in Figure 3 of the paper).</p> <p><strong>03_SOD1bar_geometries_loopVII.zip: </strong>SOD1bar geometries with varying loop VII conformation which were isolated from dilute REST2 and which are presented in Figure S9 of the paper.</p>
An interactive figure of the 2016 and 2020 X-ray light curves of LMC 1968 as observed by the XRT instrument on Swift
<p>This repository contains all the files necessary to create the interactive figure in the Research Note ov Schwarz, Page, Kuin, & Darnley 2020. The figure was created using the <a href="https://aas-timeseries.readthedocs.io/en/latest/">aas-timeseries</a> package of the <a href="https://www.astropy.org">astropy</a> project. The file lmc68.py is the underlying python code while the two lmcrel*.csv are the input files for the 2016 and 2020 eruptions of the recurrent nova LMC 1968 as observed by the XRT instrument on board the Neil Gehrels Swift observatory. A Jupyter notebook is required to preview the interactive figure. The output from the code is saved in the interactive.tar.gz package. It consists of four files:</p> <ul> <li>index.html</li> <li>figure.json</li> <li>data_75e74aca-09f1-4846-966e-9e33c7acc8d3.csv</li> <li>data_5402e718-01cf-4ad7-92a5-7679d4076ed5.csv</li> </ul> <p>The first file, index.html, is the html framework that houses the interactive figure. figure.json contains the interactive figure commands while the two data*csv files are the underlying data. The interactive figure can be viewed if this package is opened on a web server. A copy of this interactive figure is available <a href="https://authortools.aas.org/LMC1968/">here</a> so you can try it out.</p>
Mutual extinction and transparency of multiple incident light waves
<p>The basic publication is:<br> A. Lagendijk, A.P. Mosk, and W.L. Vos<br> Europhys. Lett., 130, 34002 (2020)<br> "Mutual extinction and transparency of<br> multiple incident light waves"<br> <br> We have uploaded to the Zenodo database all data enabling everyone to reuse our data, and<br> to reproduce all the figures of our paper</p> <p>The upload contains the file "readme.txt" explaining the content of the upload</p>
X-ray light-field - Small branch - 1 deg angular range
<p>X-ray light-field of a small branch, taken with the FleX-ray scanner, in the Computational Imaging group of CWI (Amsterdam).</p> <p>Angular range is ~1 degree, panel pixel size ~150 um.</p> <p>This bundle includes:</p> <ul> <li> <pre><code>light-field_corrected.vox</code></pre> Light-field in the VOX v0 data format (based on HDF5). Any HDF5 reader can open it. Native support is available here: <a href="https://github.com/cicwi/plenoptomos">https://github.com/cicwi/plenoptomos</a>. The image floating point precision is FP32.</li> <li> <pre><code>light-field_acquisition_rawdata.tbz </code></pre> <p>Light-field acquisition raw data, archived with Tar and Bzip2. It contains TIF images as projections, dark-field and flat-field. The ini and txt files provide information about the scan (motor positions, etc).</p> </li> <li> <pre><code>tomo_acquisition_rawdata.tbz</code></pre> Tomographic acquisition raw data, archived with Tar and Bzip2. It contains TIF images as projections, dark-field and flat-field. The ini and txt files provide information about the scan (motor positions, angles, etc).</li> <li> <pre><code>tomo_reconstruction_and_segmentation.h5</code></pre> <p>Tomographic reconstruction of the raw data, in HDF5. Any HDF5 reader can open it. It contains two self-descriptive datasets: "volume" and "segmentation".</p> </li> </ul>
X-ray light-field - Gel bubbles - 1 deg angular range
<p>X-ray light-field of bubbles in hair gel, taken with the FleX-ray scanner, in the Computational Imaging group of CWI (Amsterdam).</p> <p>Angular range is ~1 degree, panel pixel size ~150 um.</p> <p>This bundle includes:</p> <ul> <li> <pre><code>light-field_corrected.vox</code></pre> Light-field in the VOX v0 data format (based on HDF5). Any HDF5 reader can open it. Native support is available here: <a href="https://github.com/cicwi/plenoptomos">https://github.com/cicwi/plenoptomos</a>. The image floating point precision is FP32. The images have been back-ground subtracted.</li> <li> <pre><code>light-field_acquisition_rawdata.tbz </code></pre> <p>Light-field acquisition raw data, archived with Tar and Bzip2. It contains TIF images as projections, dark-field and flat-field. The ini and txt files provide information about the scan (motor positions, etc).</p> </li> <li> <pre><code>tomo_acquisition_rawdata.tbz</code></pre> Tomographic acquisition raw data, archived with Tar and Bzip2. It contains TIF images as projections, dark-field and flat-field. The ini and txt files provide information about the scan (motor positions, angles, etc).</li> <li> <pre><code>tomo_reconstruction_and_segmentation.h5</code></pre> <p>Tomographic reconstruction of the raw data, in HDF5. Any HDF5 reader can open it. It contains two self-descriptive datasets: "volume" and "segmentation".</p> </li> </ul>
Local adaptation to light in Norway spruce
<p>Exome capture data of the 1654 trees involved in the study of local adaptation to light quality in Norway spruce:</p> <p>1. control_genes.vcf - Raw vcf file of the ten control genes that were not differentially expressed genes in response to SHADE (low R:FR light), between the southern and northern natural populations of Norway spruce in Sweden.</p> <p>2. degs.vcf - Raw vcf file of the 54 differentially expressed genes in response to SHADE (low R:FR light), between the southern and northern natural populations of Norway spruce in Sweden, that showed at least one missense SNP in coding region. Missense variations in coding regions of nine candidate genes followed a latitudinal cline in allele and genotype frequencies.</p>
SuperWASP Variable Stars: Classifying Light Curves Using Citizen Science
<p>Table of 301 previously unidentified SuperWASP stellar variables and related characteristics, not including rotators and unknown variables. The variable type has been decided by citizen scientists through the SuperWASP Variable Stars Zooniverse project. The types and periods of each object have been assessed by the authors to correct for mis-classifications; whilst they have been corrected as much as possible, some types periods remain best guesses. All periods have an uncertainty of 0.1%.</p>
Computed Light Fields Within a Sea Ice Pressure Ridge
<p>Calculated light fields in and around a sea-ice pressure ridge. The dataset contains total scalar irradiance and downwelling planar irradiance calculated in horizontal slices at the given distance form the ice surface. Calculations were performed using Monte-Carlo ray-tracing using Zemax Optic-Studio. In addition horizontal slices through the ridge geometry, as well as total and partial ice thickness in each point of the ridge are given. The fields are provided in python and matlab readable formats.</p> <p>For details please refer to the respective publication "The three-dimensional light field within sea ice ridges" by C. Katlein et al.</p>
Brachypodium distachyon images used in the paper entitled "Led Color Gradient As A New Screening Tool For Rapid Phenotyping Of Plant Responses To Light Quality" by Pierre LEJEUNE et al.
<p>Brachypodium distachyon images used in the paper entitled "Led Color Gradient As A New Screening Tool For Rapid Phenotyping Of Plant Responses To Light Quality" by Pierre LEJEUNE, Anthony FRATAMICO, Frédéric BOUCHÉ, Samuel HUERGA-FERNÁNDEZ, Pierre TOCQUIN, Claire PÉRILLEUX</p>
Euphorbia peplus images used in the paper entitled "Led Color Gradient As A New Screening Tool For Rapid Phenotyping Of Plant Responses To Light Quality" by Pierre LEJEUNE et al.
<p>Euphorbia peplus images used in the paper entitled "Led Color Gradient As A New Screening Tool For Rapid Phenotyping Of Plant Responses To Light Quality" by Pierre LEJEUNE, Anthony FRATAMICO, Frédéric BOUCHÉ, Samuel HUERGA-FERNÁNDEZ, Pierre TOCQUIN, Claire PÉRILLEUX</p>
Arabidopsis thaliana images used in the paper entitled "Led Color Gradient As A New Screening Tool For Rapid Phenotyping Of Plant Responses To Light Quality" by Pierre LEJEUNE et al.
<p><em>Arabidopsis thaliana</em> images used in the paper entitled "Led Color Gradient As A New Screening Tool For Rapid Phenotyping Of Plant Responses To Light Quality" by Pierre LEJEUNE, Anthony FRATAMICO, Frédéric BOUCHÉ, Samuel HUERGA-FERNÁNDEZ, Pierre TOCQUIN, Claire PÉRILLEUX</p>
Oryza sativa images used in the paper entitled "Led Color Gradient As A New Screening Tool For Rapid Phenotyping Of Plant Responses To Light Quality" by Pierre LEJEUNE et al.
<p><em>Oryza sativa</em> images used in the paper entitled "Led Color Gradient As A New Screening Tool For Rapid Phenotyping Of Plant Responses To Light Quality" by Pierre LEJEUNE, Anthony FRATAMICO, Frédéric BOUCHÉ, Samuel HUERGA-FERNÁNDEZ, Pierre TOCQUIN, Claire PÉRILLEUX</p>
Solanum lycopersicum images used in the paper entitled "Led Color Gradient As A New Screening Tool For Rapid Phenotyping Of Plant Responses To Light Quality" by Pierre LEJEUNE et al.
<p><em>Solanum lycopersicum</em> images used in the paper entitled "Led Color Gradient As A New Screening Tool For Rapid Phenotyping Of Plant Responses To Light Quality" by Pierre LEJEUNE, Anthony FRATAMICO, Frédéric BOUCHÉ, Samuel HUERGA-FERNÁNDEZ, Pierre TOCQUIN, Claire PÉRILLEUX</p>
Ocimum basilicum images used in the paper entitled "Led Color Gradient As A New Screening Tool For Rapid Phenotyping Of Plant Responses To Light Quality" by Pierre LEJEUNE et al.
<p><em>Ocimum basilicum</em> images used in the paper entitled "Led Color Gradient As A New Screening Tool For Rapid Phenotyping Of Plant Responses To Light Quality" by Pierre LEJEUNE, Anthony FRATAMICO, Frédéric BOUCHÉ, Samuel HUERGA-FERNÁNDEZ, Pierre TOCQUIN, Claire PÉRILLEUX</p>
Photonics4All Bookmark UV Light (German)
<p>The purpose of the bookmarks for the project Photonics4All is to increase the public awareness of photonics and especially of the technological advances of photonics which have changed and improved everyday life (basic technology introduction).<br> <br> How UV light can fight Ebola?</p> <p>UV light has been used for decades to disinfect air and water. Some parts of UV light are dangerous for our skin, but if well-managed UV is safe to use.<br> Recently, new types of light sources are producing UV light powers 25,000 times more intense than produced by the sun. These new light sources make it faster to kill a wider range of germs, and light is currently being used to eradicate the Ebola virus on both medical instruments and furniture in some hospitals.<br> All thanks to the progress in Photonics.</p>
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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.