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1,003 results for “darkness”
Navigating The Dark
This powerful sculpture refers to the successive waves of immigration that have constantly changed the character of Spitalfields (London). The boat transport refugees from Turkey to the shores of the Greek islands. Wooden Boat with Seven People by the Greek-born sculptor, painter, and filmmaker [Kalliopi Lemos](http://kalliopilemos.com/project/wooden-boat-with-seven-people-at-spital-square-london/1912/). Source: Objaverse 1.0 / Sketchfab
Dark Elves Ballista
Warhammer Fantasy Dark Elve Repeat Bolt Thrower. First model i tried to texture with 3D Coat. A lot new experiences for me. The textures aren`t finished yet and i will come back later to get them nice and clean. Overall i think i should have used some more geometry to make sillhouette smoother. Source: Objaverse 1.0 / Sketchfab
Whistling in the dark by Robert Arneson
*"A pioneering California ceramicist, Robert Arneson completed numerous monumental portrait heads during the 1970s. Like much of the artist's work from this period, Whistling in the Dark depicts Arneson himself. This terracotta head, which the artist darkened by closing the gas kiln more than would have been customary, wears a relatively subdued expression compared to other works from the same period depicting Arneson's grotesquely manipulated visage."* https://whitney.org/collection/works/2103 Captured at the Whitney Museum with Polycam Photo mode. Source: Objaverse 1.0 / Sketchfab
Tintagel Castle and Dark Age Settlement
LiDAR model produced using Environment Agency 1m DSM data and created in QGIS using the QGIS2threejs plugin. Thanks to Mike Gill for python code to convert the QGIS model for viewing on Sketchfab. Best viewed full screen in HD. The labels can be switched off if desired in the settings options at the bottom of the model sceen Feel free to share the model on various media, embed it in a webpage using the embed code, or download it Source: Objaverse 1.0 / Sketchfab
Alone In The Dark Old Cavalry Saber Recreation
Old Cavalry Saber Weapon from the original Alone In The Dark, Recreated in higher poly count while keeping the original retro look Source: Objaverse 1.0 / Sketchfab
Kit Rae Sword of Darkness
Not too long ago I challenged myself to model a sword in under an hour. I was successful, but the topology was awful. So I decided to fix the topology and learn how to retopologize in blender! Source: Objaverse 1.0 / Sketchfab
Dark Olive Green Bottle Base
Dark Olive Green Bottle Base, Prospect Bluff Historic Sites, 1814-1816 Photos by Jeffery Robinson, Model by Emma Dietrich This model was made using RealityCapture software by Capturing Reality. Source: Objaverse 1.0 / Sketchfab
Silicon photomultiplier (SiPM) dynamic response and dark count vs temperature correlation
<p>Project FleX-RAY employed photon counting capable sensors in order to capture light that was generated by the scintillation phenomenon, in plastic scintillating fibres. These special photodiodes are called Silicon Photomultipliers, or SiPMs. In order to determine the suitability and performance of different SiPM models available in the market, we carried out a series of tests to : </p> <ol> <li>Evaluate the correlation of dark count rate against temperature and</li> <li>Compare the amplitude response of the actual devices when excited by a 50 picosecond light pulse.</li> </ol> <ul> <li>The data of series 1 are tabulated in the spreadsheet titled "darkCountVsTemp.xlsx".</li> <li>The data of series 2 are arranged in separate "zip" archives, each titled by the device model under test. These zip archives are within a master zip file titled "SiPM_laser_pulse_response.zip".</li> </ul> <p>Test equipment and set-up:</p> <p>Devices under test: Hamamatsu models S13360-1375, S13360-3075 and ON-Semi models microFC-10020, microFC-10035 </p> <p>Measurement device(s)/board(s): To excite SiPMs, we used picosecond pulse laser type PLDD-100k-OEM from Alphalas. To record raw pulse output of SiPMs we used oscilloscope Tektronix DPO7104. To record the darkcount rate of SiPMs we used oscillsocope Keysight DSOX1204G. A custom, 3D-printed light-tight box was used to shield the SiPMs from ambient light.</p> <p> </p> <p>This work was financed by the European Union's Horizon 2020 program under grant agreement No. 899634.</p>
Avantes AvaSpec-2048 dark signal measurements for its modeling (SN: 1311018U2, 1311019U2, 1411011U2 and 1411012U2)
<p>Each file contains integration time, temperature and dark signal spectra registered. This data have been already resampled with a temperature step of 0.1ºC and the temperature delay have been already corrected.</p>
Data from Coral Dark Gene analysis
<p>Results files from manuscript "Cosmopolitan gene families with known functions are hotspots for the evolution of novel genes in stony corals".</p> <p> </p> <p><code>Orthogroups_analysis.tar.gz</code> HTML files displaying all expression, protein structure, and phylogeny results for each of the selected dark orthogroups.</p> <p><code>AlphaFold2.tar.gz</code> AlphaFold2 PDB files with the inferred structures of each of the selected dark orthogroup's representative sequences.</p> <p><code>OGs.tar.gz</code> Files listing proteins in each orthogroup, the annotations assigned to each protein, and the size and classification (restricted/shared, taxonomic rank) assigned to each orthogroup.</p> <p><code>Datasets.tar.gz</code> Files from each of the 129 coral and outgroup genome and transcriptome datasets used in this study. For transcriptomes this generally includes protein and CDS (if produced by authors) files. For genomes this generally includes protein, CDS (if produced by authors), assembly (if applicable), and gene gff3 (if applicable) files.</p>
A new, fluorescence-based method for visualizing the pseudopupil and assessing optical acuity in the dark compound eyes of honeybees and other insects
<p>Images reported here are the raw Data set acquired to obtain Figure 6 in the manuscript Rigosi et al, “A new, fluorescence-based method for visualizing the pseudopupil and assessing optical acuity in the dark compound eyes of honeybees and other insects” accepted in Scientific Reports (DOI: 10.1038/s41598-021-00407-2).</p> <p>Please check the Methods section for a description of the analysis of the eye map obtained with these images.<br> Note that all the images are 16-bit.</p>
Fig. 1 in Two hundred years in the dark: A type for the moss Encalypta crispata
Fig. 1. – The rediscovered holotype of Hedwig's Encalypta crispata Hedw at G.
Plasmonic Copper Sulfide Nanoparticles Enable Dark Contrast in Optical Coherence Tomography
<p>Dataset of https://onlinelibrary.wiley.com/doi/10.1002/adhm.201901627</p>
Dark Matter from Axion Strings with Adaptive Mesh Refinement - Supplementary Animations
<p>Supplementary animations to the paper "<em>Dark Matter from Axion Strings with Adaptive Mesh Refinement </em>" (arXiv:2108.05368)</p> <ul> <li><strong>2D.mp4</strong>: 2D slices through our 3D simulation. A string segment piercing the 2D plane is tracked in the right two panels. Shown is the axion field, where the string core shows up as a discontinuity, as well as the radial mode.</li> <li><strong>Axion.mp4</strong>: The evolution of the axion energy density where the string network is overlayed in yellow. The volume spans our full simulation box with periodic boundary conditions. The relative size of a Hubble volume is indicated as well by a slowly growing smaller box.</li> <li><strong>Box.mp4:</strong> We illustrate axion radiation by focusing on a string segment. The volume shown corresponds to about 1/500th of the total simulation volume. The complex behavior of the string network can be observed with its strong influence on the axion energy density.</li> <li><strong>Strings.mp4</strong>: The evolution of the string network is shown in yellow. The volume spans our full simulation box with periodic boundary conditions. The relative size of a Hubble volume is indicated as well by a slowly growing smaller box.</li> </ul>
The Dark Energy Survey 5-year photometrically identified Type Ia Supernovae classification probabilities with SuperNNova
<p>Classification probabilities obtained for the Dark Energy Survey 5-year photometrically identified SN Ia.</p> <p>Probabilities were obtained with SuperNNova (Möller et al. 2020) using multi-band light-curves and host galaxy redshifts. The classification models were trained to disentangle type Ia vs. non Ia supernovae.</p>
From Images to Dark Matter: End-To-End Inference of Substructure From Hundreds of Strong Gravitational Lenses -- Data
<p>Contains the network weights and the figure files associated to the paper <a href="https://arxiv.org/abs/2203.00690">Wagner-Carena et al. 2022</a>.</p> <p>The file data.zip is meant to be downloaded in the folder notebooks/papers/2203_00690.</p> <p>The two .h5 files represent the trained model weights after 100 epochs of the diagonal model and the full model. See the paper for more details.</p> <p> </p>
Dataset of paper "Mechanistic modelling of solar disinfection (SODIS) kinetics of Escherichia coli, enhanced with H2O2 – Part 1: The dark side of peroxide"
<p>Data of the experimental and predicted <em>E. coli </em>inactivation and H<sub>2</sub>O<sub>2</sub> profiles under dark conditions to study the effect of rising water temperature.</p>
Dance Your Ph.D. 2018 Physics FINALIST: Dark energy and dark matter via probabilistic data analysis
<p>Dark matter (dancer in black mask; brings dancers together) and dark energy (dancer in black mask; pulls dancers apart) are the mysterious constituents of the universe that determine the evolution of the largest structures, clusters of galaxies (dancers in tie dye), and I (dancer in gold mask) want to learn about them them by analyzing a huge set of 3D galaxy positions. The telescope (dancer in silver mask) gives me 2D images of galaxies with no distances, so I have to estimate galaxy locations with "redshift," which is correlated with distance. The exciting telescopes of the next decades will build large samples of galaxies by taking lots of superficial color data that's not informative enough to determine the redshift. One thing that tells us about dark matter and dark energy is the redshift distribution (dancer in red stripes) -- I can still learn about dark energy and dark matter if I can figure out how many galaxies have each redshift. Since I don't actually know the redshifts of any galaxies, I consider the probability of redshift (dancers in white shirts) for each galaxy based on its limited color data. However, the redshift probabilities are biased by prior beliefs (dancer in gray scarf) about physics that are transmitted by the way we derive the probabilities from the galaxy colors. If unaccounted for, the prior beliefs could cause us to draw the wrong conclusions about dark matter and dark energy, meaning we won't learn anything from all this amazing telescope data we're going to have. For my thesis, I developed a method that puts the prior beliefs in their proper place and lets the data guide the inference of the redshift distribution, using an approach called Bayesian statistics. I audition many possible redshift distributions and check how likely each is to have caused the observed galaxy colors, with the redshift probabilities as the judges; this procedure is called Markov chain Monte Carlo (MCMC) sampling, and it leads to an ensemble of possible redshift distributions each with an associated probability of having produced the observed galaxy colors. By doing the math carefully and correctly, we will learn more about dark matter and dark energy even with the coarsest data!</p>
A high-quality genome assembly and annotation of the dark-eyed junco Junco hyemalis, a recently diversified songbird
<p>The dark-eyed junco (<i>Junco hyemalis</i>) is one of the most common passerines of North America, and has served as a model organism in studies related to ecophysiology, behavior and evolutionary biology for over a century. It is composed by at least six distinct, geographically structured forms of recent evolutionary origin presenting remarkable variation in phenotypic traits, migratory behavior and habitat. Here we report a high-quality genome assembly and annotation of the dark-eyed junco generated using a combination of shotgun libraries and proximity ligation Chicago<sup>TM</sup> and Dovetail HiC<sup>TM</sup> libraries. The final assembly is 1,031,523,571 bp long, with 98.3% of the sequence located in 30 full or nearly full chromosome scaffolds, and with a N50/L50 of 71,3 Mb/5 scaffolds. We identified 19,026 functional genes combining gene prediction and similarity approaches, of which 15,967 were associated to GO terms. Genome assembly and annotated set of genes yielded 95.4% and 96.2% completeness scores, respectively, when compared with the BUSCO avian dataset. This new assembly for <i>J. hyemalis </i>provides a valuable resource for genome evolution analysis, as well as for identifying functional genes involved in adaptive processes and speciation.</p>
Atmospheric resonant production for light dark sectors
<p>This is the companion dataset to the publication "<em>Atmospheric resonant production for light dark sectors</em>" by the same author. It includes the track length fluxes for electrons, positrons and photons generated by cosmic ray showers, as well as light mesons fluxes obtained by the same process. An example python loader is provided.</p>
ScienceDex guides
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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.