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4,681 results for “light”

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zenodo44/100

Photonics4All Bookmark UV Light (Swedish)

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). How UV light can fight Ebola? 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. 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. All thanks to the progress in Photonics.

opencc-by-4.0Jun 2016View details →

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Photonics4All Bookmark UV Light (French)

opencc-by-4.0Jun 2016View details →

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Photonics4All Bookmark UV Light (English)

opencc-by-4.0Jun 2016View details →

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Visible light photocatalysis of 6pi-heterocyclization

Photo‐mediated 6π cyclization is a valuable method for the formation of fused heterocyclic systems. Here we demonstrate that irradiation of cyclic 2‐aryloxyketones with blue LED light in the presence of an IrIII complex leads to efficient and high yielding arylation across a panoply of substrates by energy transfer. 2-Arylthioketones and 2‐arylaminoketones also cyclize effectively under these conditions. Quantum calculation demonstrates that the reaction proceeds via conrotatory ring closure in the triplet excited state. Subsequent suprafacial 1,4‐hydrogen shift and epimerization leads to the observed cis‐fused products. This data-set contains the output files from DFT calculations performed for this work, along with <a href="https://doi.org/10.5281/zenodo.595246">GoodVibes</a> thermochemistry outputs

openmit-licenseApr 2017View details →

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A CO2 valorization plant to produce light hydrocarbons: kinetic model, process design and life cycle assessment

Supplementary material:  Reaction indexes, Conservation equations, boundary conditions and used coefficients. Additional experimental results, Experimental data fitting,  Stream properties and composition of the CO2 plant, Life Cycle Assessment indicators, assumptions and data input

opencc-by-4.0Nov 2022View details →

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Phlorest phylogeny derived from Sagart et al. 2019 'Dated language phylogenies shed light on the ancestry of Sino-Tibetan'

Cite the source of the dataset as: <blockquote> Sagart L, Jacques G, Lai Y, Ryder RJ, Thouzeau V, Greenhill SJ, List J- M. 2019 Dated language phylogenies shed light on the ancestry of Sino-Tibetan. Proceedings of the National Academy of Sciences, 201817972. </blockquote>

opencc-by-4.0Aug 2023View details →

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Phlorest phylogeny derived from Chacon & List 2015 'Improved computational models of sound change shed light on the history of the Tukanoan languages'

Cite the source of the dataset as: <blockquote> Chacon TC, List J-M (2015) Improved computational models of sound change shed light on the history of the Tukanoan languages. Journal of Language Relationship, 3:177–203. </blockquote>

opencc-by-4.0Aug 2023View details →

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HOBO_pendant_light_2051942_Fildes_Bay_Antartica

This dataset contains sea surface temperature data in Celsius (°C) and lux intensity readings from a HOBO Pendant light with serial number 20519742. Start record: 6/01/2022, End record: 11/02/2023. Data was recorded every 30 minutes. The sensor was anchored at a depth of 9.13 meters, with a latitude of 62° 12' 11.73'' S and a longitude of 58° 56' 35.87'' W, in Antarctica. The first column represents the record number, the second column indicates the date in the format Day/Month/Year, and the third column represents lux intensity.  Funded by Programa Areas Marinas Protegidas INACH (2403252)

opencc-by-4.0Apr 2024View details →

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Light scattering photographic dataset of rocks

This dataset comprises digital photographs taken at the Astrophysical Scattering Laboratory of the Department of Physics of the University of Helsinki, Finland. These photographs were taken in a darkened room, with targets illuminated by an Energetiq Laser-Driven Light Source (LDLD) EQ-77-QZ lamp module. We utilized three distinct stones borrowed from the 2024 course materials of the Geological Materials course at the University of Helsinki's Department of Geosciences and Geography. These stones vary in shape and reflectivity: one is regularly shaped with a smooth surface, another has an irregular shape but a smooth surface with high reflectivity, and the third is irregularly shaped with varying reflectivity across its surface. The stones were photographed from a distance of 230 cm at six different camera positions. At each camera position, the setting with the target was rotated. The images were gathered at 10-degree intervals, totaling 36 images for each stone at each camera position and 216 images per stone in total. The dataset consists of 648 unedited 16-bit Canon CR2 raw photos and the same 648 images cropped, color-graded, and processed into TIFF format. The TIFF data package is 625 MB, while the raw data package is 18.8 GB. Further details on data acquisition can be found in the accompanying PDF files. This dataset serves as a resource for testing and benchmarking various image processing and inverse method tasks, such as reconstructing object shapes using convolutional neural networks and inverse methods. It aims to aid researchers in image processing and related endeavors. Please note: Depending on your graphics editor, the program might automatically apply an adjustment of saturation, brightness, and contrast to the raw CR2 photos.  In this case, the desired outcome of only the target being illuminated in the photo will be lost. Please ensure that your graphics editor does not apply automatic adjustments, or use the provided TIFF files.

opencc-by-4.0Apr 2024View details →

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Modeling of the micro-focused Brillouin light scattering spectra

This repository contains data and code presented in paper titled: Modeling of the micro-focused Brillouin light scattering spectra   <h2>Data</h2> The structure of this archive is divided by the usage of the data in individual figures in paper titled "Modeling of the micro-focused Brillouin light scattering spectra", which can be found in zip file named  ModelingOfTheMicro-focusedBrillouinLightScatteringSpectra-1.0.0_FigsData.zip the encoding in .dat files is utf-8 All the presented data are in .dat files (no need to open .opju to get access to the data) The .opju is source file of OriginLab software and can be open by freely available tools - <a href="https://www.originlab.com/viewer/" target="_blank" rel="noopener">www.originlab.com/viewer/</a> Each folder contains another info.txt where the data are described individually <h2>Software</h2> All the codes used to generate figures in the paper can be found on the Github platform in publicly available repository. The code can be used and modified if the authors and paper are credited. <a title="github.com/CEITECmagnonics/ModelingOfTheMicro-focusedBrillouinLightScatteringSpectra" href="https://github.com/CEITECmagnonics/ModelingOfTheMicro-focusedBrillouinLightScatteringSpectra" target="_blank" rel="noopener">https://github.com/CEITECmagnonics/ModelingOfTheMicro-focusedBrillouinLightScatteringSpectra</a> Release v1.0.0 is available in ModelingOfTheMicro-focusedBrillouinLightScatteringSpectra-1.0.0_code.zip   The software also uses another freely available tool for calculating spin wave dispersion: <a title="github.com/CEITECmagnonics/SpinWaveToolkit" href="https://github.com/CEITECmagnonics/SpinWaveToolkit" target="_blank" rel="noopener">https://github.com/CEITECmagnonics/SpinWaveToolkit</a>

opencc-by-4.0Aug 2024View details →

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Dataset for publication: "Photosystem II supercomplexes lacking light-harvesting antenna protein LHCB5 and their organization in the thylakoid membrane"

Data repository for "Photosystem II supercomplexes lacking light-harvesting antenna protein LHCB5 and their organization in the thylakoid membrane". FIGURE 1 Phenotype and photosynthetic characteristics of the lhcb5 mutant. (A) Phenotype of Arabidopsis thaliana wild type (WT) and lhcb5 mutant plants grown at controlled conditions for 6 weeks (8 h light/16 h dark cycle; 22/20°C; 110 µmol photons m-2 s-1; 60% humidity). (B) Immunoblot analysis of thylakoid membranes of WT and lhcb5 mutant plants with antibody directed against LHCB5. (C) Content of light-harvesting proteins LHCB1-6 evaluated relatively to the content of CP43 protein in the WT and the lhcb5 mutant. The protein content was determined in isolated thylakoid membranes by liquid chromatography-tandem mass spectrometry (LC-MS/MS). The columns represent means ± SD, individual points show technical replicates. All data passed the normality and equal variance tests and according to Student t-test the datasets of WT and lhcb5 were not significantly different (α ≤ 0,05), except for the relative content of LHCB5/CP43. (D) Protein ratios of photosynthesis-related thylakoid membrane proteins of the WT and the lhcb5 mutant. The protein content was determined by LC-MS/MS in isolated thylakoid membranes. PSII represents the sum of relative PG intensities of D1, D2, CP43, and CP47 proteins, LHCII - LHCB1–3 proteins, PSI - PSAA and PSAB proteins, LHCI - LHCA1–4 proteins, ATPS - α and β subunits of ATP synthase, and cyt f represents cytochrome f component of cytochrome b6f complex. The columns represent means ± SD, individual points show technical replicates. All data passed the normality and equal variance tests and according to Student t-test the datasets of WT and lhcb5 are not significantly different (α ≤ 0,05). FIGURE 2 Separation and structural characterization of PSII supercomplexes from lhcb5 mutant plants. (A) Separation of pigment–protein complexes from thylakoid membranes from Arabidopsis&ensp;thaliana WT and lhcb5 mutant plants by clear native polyacrylamide gel electrophoresis. Thylakoid membranes were solubilized by n-dodecyl α-D-maltopyranoside (detergent/chlorophyll mass ratio of 10). (B) Electron density maps of characteristic PSII supercomplexes from the separated green gel bands of the lhcb5 mutant designated as C2S2M2, C2S2M and C2SM. Projection maps are fitted by corresponding structural high-resolution models of PSII supercomplexes (Van Bezouwen et al., 2017) without LHCB5. Individual PSII subunits are color-coded according to (E). (C), (D) Comparison of structural models of the PSII C2S2M2 supercomplexes from Arabidopsis thaliana WT and the lhcb5 mutant. (C) Projection map of the PSII C2S2M2 supercomplex from Arabidopsis thaliana wild type (Ilíková et al., 2021) fitted by the high-resolution structure from Van Bezouwen et al. (2017). (D) Overlay of structural models of the PSII C2S2M2 supercomplex from Arabidopsis thaliana wild type (surface representation, partially transparent) and the lhcb5 mutant shows a specific shift of the S and M LHCII trimers as well as the monomeric antenna LHCB6 (see arrows in the corresponding colors) due to the absence of LHCB5. Individual PSII subunits are color-coded according to (E). (E) Legend of individual PSII subunits, which are color-coded as follows: PSII core complex in green, S and M LHCII trimers in red and blue, respectively, and the monomeric antenna proteins, LHCB4, LHCB5, LHCB6, in yellow, cyan, and dark orange, respectively. FIGURE 3 Organization of photosystem II in thylakoid membranes of the lhcb5 mutant. (A, B) Examples of electron micrographs of negatively stained thylakoid membrane isolated from the lhcb5 mutant with densities corresponding to the PSII core complex. Representative picture of PSII supercomplexes “randomly” organized (A) and organized into 2D semi-crystalline array (B). (C, D, E) Projection maps of PSII megacomplexes obtained using image analysis of PSII particles in thylakoid membranes. Three specific associations of PSII supercomplexes are shown and fitted by the model of PSII supercomplex C2S2M2 without LHCB5 (see Figure 2B). Megacomplexes are averaged projections of 1 925 (C), 2 241 (D), and 2 305 (E) particles. (F) Isolated PSII particle from thylakoid membranes with “randomly” organized PSII as an average projection of 3 741 particles fitted by the model of PSII supercomplex C2S2M2 without LHCB5 (see Figure 2B). (G) PSII supercomplexes organized into 2D semi-crystalline array as an average projection of 418 sub-areas together with the fitted model of PSII C2S2M2 supercomplexes (see Figure 2B). Projection maps of PSII supercomplexes show core complexes in green, S trimers in red, M trimers in blue, LHCB4 in yellow, and LHCB6 in dark orange color. FIGURE 4 Distribution of mutual distances between neighboring photosystem II particles in thylakoid membranes of Arabidopsis thaliana WT and the lhcb5 mutant. The distances between two closest neighboring PSII supercomplexes were analyzed using EM. Histograms are normalized to the maximum. SUPPORTING FIGURE 1 Analysis of chosen photosystem I and II photosynthesis related parameters. (A) Quantum yield of photochemistry of PSI - Y(I). (B) Quantum yield of photochemistry of PSII - Y(II). (C) Non-photochemical quenching – NPQ. Parameters were measured during actinic light exposure (800 µmol photons m-2 s-1) and dark relaxation using saturating light pulses (300 ms, 10 000 µmol photons m-2 s-1) in WT and lhcb5 mutant plants. Results represent mean values ± SD from 4 measurements. Plants were dark-adapted for 30 min before the measurement. SUPPORTING FIGURE 2 Single-particle image analysis and classification of protein complexes from CN−PAGE C2S2M2 band from the Arabidopsis lhcb5 mutant (Figure 2A). Number of averaged projections in given classes are indicated. SUPPORTING FIGURE 3 Single-particle image analysis and classification of protein complexes from CN−PAGE C2S2M band from the Arabidopsis lhcb5 mutant (Figure 2A). Number of averaged projections in given classes are indicated. SUPPORTING FIGURE 4 Single-particle image analysis and classification of protein complexes from CN−PAGE C2SM band from the Arabidopsis lhcb5 mutant (Figure 2A). Number of averaged projections in given classes are indicated. SUPPORTING FIGURE 5 A histogram of the relative abundance of PSII semi-crystalline arrays in thylakoid membranes of Arabidopsis lhcb5 mutant. The bars represent the number of electron micrographs where the 2D arrays cover the indicated percentage of the membrane. The histogram was obtained by evaluation of 50 randomly selected images. SUPPORTING TABLE 1 Physiological parameters of Arabidopsis WT and lhcb5 mutant plants. SUPPORTING TABLE 2 Density of bands corresponding to LHCB5-less PSII supercomplexes evaluated relatively to WT. Figure 1 C-D - source data for Figure 1. (panels C-D) Documentation of similar physiology of Arabidopsis thaliana wild type (WT), and its mutant with loss of LHCB5 protein subunit (lhcb5): (C) relative content of photosysthesis related proteins in thylakoid membranes of Arabidopsis thaliana lhcb5 genotype normalised to WT determined by LC-MS/MS; (D) relative protein ratios normalised to WT of photosynthesis related thylakoid membrane proteins of Arabidopsis thaliana lhcb5 genotype determined in isolated thylakoid membranes by LC-MS/MS. Figure 4 - source data for Figure 4. Relative distribution of photosystem II (PSII) distances in thylakoid grana membranes of Arabidopsis thaliana wild type (WT) and mutant with missing LHCB5 protein (lhcb5). Supporting figure 1 Source data for supporting figure 1 Photosynthesis related parametres describing PSI and PSII function. (A) quantum yield of photochemistry of PSI (Y(I)) in Arabidopsis thaliana WT and lhcb5 genotype leaves during red acitinic light exposure and dark relaxation; (B) quantum yield of photochemistry of PSII (Y(II)) in Arabidopsis thaliana WT and lhcb5 genotype leaves during red acitinic light exposure and dark relaxation; (C) non-photochemical quenching of Arabidopsis thaliana genotypes: The level of NPQ estimated during red acitinic light exposure and dark relaxation of WT and lhcb5 leaves. Supporting figure 5 Source data for Supplement figure 4. Relative abundance of 2D PSII arrays in the thylakoid membranes of Arabidopsis thaliana lhcb5 mutant from 50 randomly selected images. Supporting table 1 - source data Source data for supporting table 1. Physiological parameters of witl type (WT) Arabidopsis thaliana and its mutant lacking LHCB5 protein (lhcb5): Repetitions of data measured for each genotypes. Supporting table 2 - source data Source data for supporting table 2. Density of bands corresponding to LHCB5-less PSII supercomplexes evaluated relatively to WT: Repetitions of data measured for each genotypes. Figure 1B source WB Source WB picture for FIGURE 1B. Figure 1B source WB, marker Source WB picture with molecular marker for FIGURE 1B.

opencc-by-4.0Sep 2024View details →

zenodo44/100

SLF4Web - MPEG-DASH datasets of static light fields

MPEG-DASH datasets for the SLF4Web research project. SLF4Web is a Web-based implementation of a static light field consumption system; it allows SLF datasets to be adaptively streamed over the network (via MPEG-DASH) and then to be visualized in a vanilla Web browser. The datasets are encoded using the H.264/AVC video codec. A subset of the datasets are available in multiple qualities to allow for adaptive network streaming. The SLF4Web source code is available on GitHub (<a href="https://github.com/EDM-Research/SLF4Web">https://github.com/EDM-Research/SLF4Web</a>) and as a bundle at <a href="https://zenodo.org/badge/latestdoi/432214902">https://zenodo.org/badge/latestdoi/432214902</a>.

opencc-by-4.0Nov 2021View details →

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Datasets for paper "Evaluating the PurpleAir monitor as an aerosol light scattering instrument"

The data sets included will allow the user to reproduce the plots and analyses described in Ouimette et al. (2022).  The Collocated*csv file contains data from multiple collocated PurpleAirs that sampled for a few days.  The data in this file was used in the precision analysis in section 2.2.9 of the paper.  The other files contain nephelometer and PurpleAir data from Mauna Loa (MLO) and Table Mountain (BOS) and DMPS size distribution files from BOS. Their contents are described in the README.TXT file.

opencc-by-4.0Dec 2021View details →

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Four angle fused dataset for Ascidian embryo imaged via light sheet

Original dataset imaged and published here:  <pre>DOI: 10.6084/m9.figshare.8235473.v1</pre> This dataset is provided as Raw dataset for training deep neural networks for segmentation tasks. The binary masks and the integer labels are provided separately.

opencc-by-4.0Dec 2021View details →

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The DR-Train dataset: dynamic responses, GPS positions and environmental conditions of two light rail vehicles in Pittsburgh

Note: Downloading the large data file could have a timeout issue. If you cannot directly download it here, please use the following link as a complementary method for getting the data.  <a href="https://drive.google.com/drive/folders/1oKn7IN7zznQuhwjDCDdjq8r9wHJYBEhj?usp=sharing">https://drive.google.com/drive/folders/1oKn7IN7zznQuhwjDCDdjq8r9wHJYBEhj?usp=sharing</a>   This dataset contains the dynamic responses (acceleration records) of two passenger trains with corresponding GPS positions, environmental conditions and track maintenance schedules for a light rail network in the city of Pittsburgh, Pennsylvania in the United States of America. In particular, two light rail vehicles were instrumented (identified as LRV4306 and LRV4313):  LRV 4306 has 5 acceleration channels, corresponding to the two uni-axial accelerometers inside the train and the three channels of the tri-axial accelerometer on the wheel truck. - The last digit of each acceleration file: 1, 2, 3, 4, 5 - Corresponding sensor channels: tri-axial x, tri-axial y, tri-axial z, front cabinet uni-axial, back cabinet uni-axial LRV 4313 has 8 acceleration channels, corresponding to the two uni-axial accelerometer and the two tri-axial accelerometers inside the train. - The last digit of each acceleration file: 1, 2, 3, 4, 5, 6, 7, 8 - Corresponding sensor channels: front cabinet uni-axial, back cabinet uni-axial, front tri-axial x, front tri-axial y, front tri-axial z, back tri-axial x, back tri-axial y, back tri-axial z. - x longitudinal (vehicle moving direction); y-axis, transverse; z-axis, vertical. The dataset contained in this repository is a condensed version of the original raw data. While the accelerometers on the train were sampled continuously, this dataset contains only those measurements for when the train was actually moving along the track (i.e. not idling at a terminal). The data is stored in binary MAT-files (a MATLAB/Octave data format). These files contain MATLAB objects of the class "pass", which is defined in the file pass.m that can be found in the "code" folder. Specifically, two MAT-files named "obj_dic.mat", and found in the "LRV4306" and "LRV4313" folders, contain the "pass" objects of the two trains, respectively. Each category is described in detail. For more detail on the regions of the track, refer to the 'region.fig' file in this folder. The track was divided into distinct regions so that the data over specific sections of track could be compared. These regions were chosen for two reasons:  (1) within a region, the train always followed the same track and  (2) there are no tunnels in them so the GPS data is relatively consistent.  To get started, using MATLAB or Octave try running "main_script.m" in the "code" folder. A data descriptor paper with details of the data collection process was published. Please cite as Liu, J., Chen, S., Lederman, G., Kramer, D. B., Noh, H. Y., Bielak, J., Garrett, J. H., Kovačević, J., & Berges, M. Dynamic responses, GPS positions and environmental conditions of two light rail vehicles in Pittsburgh. Scientific Data, 6, 146. <a href="https://doi.org/10.1038/s41597-019-0148-9">https://doi.org/10.1038/s41597-019-0148-9</a>(2019) Liu, J., Chen, S., Lederman, G., Kramer, D. B., Noh, H. Y., Bielak, J., Garrett, J. H., Kovačević, J., & Berges, M. The DR-Train dataset: dynamic responses, GPS positions and environmental conditions of two light rail vehicles in Pittsburgh. Zenodo, <a href="https://doi.org/10.5281/zenodo.1432702">https://doi.org/10.5281/zenodo.1432702</a>(2018). For questions or suggestions please e-mail Jingxiao Liu <liujx@stanford.edu>

opencc-by-4.0Oct 2018View details →

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The Water-ice Feature in Near-infrared Disk-scattered Light around HD 142527: Micron-sized Icy Grains Lifted up to the Disk Surface?

This is a reproduction package for the paper "The Water-ice Feature in Near-infrared Disk-scattered Light around HD 142527: Micron-sized Icy Grains Lifted up to the Disk Surface?" by Tazaki et al. (2021). In this repository, you will find the data files used to make figures in the paper. Source codes and scripts are included as well.

opencc-by-4.0Jan 2022View details →

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Measurement of energies and intensities of multiple ionization satellite (MIS) excited in light elements by helium ion beams

TNA project number: 19001708-ST Measurement of energies and intensities of multiple ionization satellite (MIS) excited in light elements by helium ion beams Scientific background: Over 1600 X-ray spectra have been collected from the alpha particle X-ray spectrometers on Mars rovers including the present Curiosity rover. The spectra are excited by the radionuclide 244Cm, which emits 5 MeV He ions for PIXE and Pu L X-rays for XRF. These spectra provide elemental analysis of rocks, soils and dust as part of the quest to identify formerly habitable (water-bearing) environments. Applicant is a member of the Curiosity APXS team within NASA’s Mars Science Laboratory. Excitation of K X-rays by 5 MeV He ions produces also energy-shifted satellites due to 1, 2 or 3 L-shell spectator vacancies. These cause significant distortion of the diagram lines and worsen the quality of spectrum fits by the GUPIX(Mars) code. An MIS database is needed to support a correction procedure that is already devised. This work will increase analytical accuracy and will also support more accurate terrestrial PIXE analysis using alpha beams, especially when partnered with RBS; this could lead to increased use of these two IBA methods in a complementary manner.   Measurements performed within TNA project: The wavelength-dispersive in-vacuum x-ray spectrometer of J. Stefan Institute (Ljubljana, Slovenia) [1] have been used to record high energy resolution KaLN X-ray spectra of Ca and Cr induced in collisions with MeV alpha particles. The targets used were metallic Cr, Cr2O3, and CaF2. The KaLN X-ray spectra of Cr and Cr2O3 were measured using three different energies of He ions, namely 3 MeV, 4 MeV and 5 MeV. For CaF2 we have collected only spectra induced with 5 MeV He beam. The main purpose of the experiment was to record KaLN spectra with good enough statistics to determine precisely energy/intensity of the corresponding satellite lines. The results for the energy shifts and relative intensities of the groups will be incorporated in the MIS database providing an empirical means for inclusion of one peak per satellite group when modelling energy-dispersive spectra (GUPIX(Mars) code). [1] M. Kavčič, M. Budnar, A. Mühleisen, F. Gasser, M. Žitnik, K. Bučar, R. Bohinc, Design and performance of a versatile curved-crystal spectrometer for high-resolution spectroscopy in the tender x-ray range, Rev. Sci. Instr. 83, 033113 (2012). <a href="http://dx.doi.org/10.1063/1.3697862">http://dx.doi.org/10.1063/1.3697862</a>   Data files: We are sharing the detector files (a series of single exposure 2D raw images) collected by the Andor DX438-BV CCD camera (770 × 1152 pixels with pixel size 22.5×22.5 μm2) after the diffraction on the crystal analyzer. The horizontal axis of the detector corresponds to the dispersion axis and diffracted photons are detected at different horizontal positions according to their wavelength, the vertical axis of the detector serves mainly to accumulate more statistics. The final emission spectra are obtained from the corresponding detector files using the home-written data processing software.

opencc-by-4.0Jan 2022View details →

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Dataset for "A 21 m Operation Range RFID Tag for "Pick to Light" Applications with a Photovoltaic Harvester"

In the paper, a novel Radio-Frequency Identification (RFID) tag for “pick to light” applications is presented. The proposed tag architecture shows the implementation of a novel voltage limiter and a supply voltage (VDD) monitoring circuit to guarantee a correct operation between the tag and the reader for the “pick to light” application. The feasibility to power the tag with different photovoltaic cells is also analyzed, showing the influence of the illuminance level (lx), type of source light (fluorescent, LED or halogen) and type of photovoltaic cell (photodiode or solar cell) on the amount of harvested energy. Measurements show that the photodiodes present a power per unit package area for low illuminance levels (500 lx) of around 0.08 μW/mm2, which is slightly higher than the measured one for a solar cell of 0.06 μW/mm2. However, solar cells present a more compact design for the same absolute harvested power due to the large number of required photodiodes in parallel. Finally, an RFID tag prototype for “pick to light” applications is implemented, showing an operation range of 3.7 m in fully passive mode. This operation range can be significantly increased to 21 m when the tag is powered by a solar cell with an illuminance level as low as 100 lx and a halogen bulb as source light. This dataset contains some of the data gathered during the experimental work developed and used in the paper.

opencc-by-4.0Jan 2022View details →

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Data set for "On the Use of Pulsed UV or Visible Light Activated Gas Sensing of Reducing and Oxidising Species with WO3 and WS2 Nanomaterials"

This excel file contains the  raw data gathered with the measurements performed under different conditions of illumination for the different sensors. These data have been exploited in the paper "On the Use of Pulsed UV or Visible Light Activated Gas Sensing of Reducing and Oxidising Species with WO3 and WS2 Nanomaterials" DOI: 10.3390/s21113736

opencc-by-4.0Jan 2022View details →

zenodo44/100

Code for producing a consistent and corrected nighttime light dataset (CCNL 1992-2013) from DMSP-OLS data

The DMSP-OLS NTL product suffers from three main problems, i.e.inter-annual inconsistency, saturation, and blooming effect which will affect the accuracy of urban extraction and the estimation of the social-economic indexes. To address these problems, we adopted three correction methods to rectify inter-annual inconsistency, saturation, and blooming effects. The code is written based on the Javascript API provided by the Google Earth Engine  platform(https://earthengine.google.com/)

opencc-by-4.0Sep 2020View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas

neuroscienceopenDocumentation, web resources, and API references are available online.

Last verified 2026-04-30Open record

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.

abode-home-cage

behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.

Last verified 2026-04-30Open record

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.

dandi-nwb

electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.

Last verified 2026-04-30Open record

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.

ibl

behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.

Last verified 2026-04-29Open record

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.

openneuro

neuroscienceopenPublished datasets are available on demand over the internet.

Last verified 2026-04-29Open record