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52 results for “image synthesis”
Diffraction images used to solve the structures published in the article "From 1,4-Disaccharide to 1,3-Glycosyl Carbasugar: Synthesis of a Bespoke Inhibitor of Family GH99 Endo-α-mannosidase"
<p>Raw diffraction images used for generating the structures published in the article "From 1,4-Disaccharide to 1,3-Glycosyl Carbasugar: Synthesis of a Bespoke Inhibitor of Family GH99 Endo-α-mannosidase" (available <a href="https://doi.org/10.1021/acs.orglett.8b03260">here</a>). Full single-crystal datasets, including images that were not used in the final analyses, are published. The software used for the processing of each dataset is listed in their respective PDB entries. An additional 720 degree dataset is provided, which has been collected from the same crystal as PDB 6HMH. This dataset has not been used to solve the structure presented in the paper. It works very well as an example of sulfur SAD phasing.</p> <p> </p> <p>If you find this useful, please contact me at <a href="mailto:lukasz.sobala@hirszfeld.pl">lukasz.sobala@hirszfeld.pl</a>, I am just interested in how these data are used!</p>
Images associated to the paper "Evaluating the Sensitivity to Virtual Characters Facial Asymmetry in Emotion Synthesis"
<p>We conducted an experiment by presenting 64 pairs of static facial expressions, one symmetric and one asymmetric, illustrating eight emotions (three basic and five complex ones) alternatively for a male and a female character.<br> Each emotion was presented four times by swapping the symmetric and asymmetric positions and by mirroring the asymmetrical expression. Participants were asked to grade, on a continuous scale, the correctness of each facial expression with respect to a short definition</p>
Reproduction Package (VirtualBox Image) for the POPL 2024 Article `Enhanced Enumeration Techniques for Syntax-Guided Synthesis of Bit-Vector Manipulations`
<p>This is the artifact for the ACM PACMPL article <i>Enhanced Enumeration Techniques for Syntax-Guided Synthesis of Bit-Vector Manipulations</i>. We provide our artifact as an easy-to-use VirtualBox image, which contains the benchmarks, our tools for bit-vector synthesis, and the scripts for generating the results showcased in the paper.</p>
Data and code associated with "Fourier synthesis optical diffraction tomography for kilohertz rate volumetric imaging"
<p>Imaging data and derived analysis data used in the figures of the manuscript "F<span>ourier synthesis optical diffraction tomography for kilohertz rate volumetric imaging"</span></p>
Image Synthesis with a Convolutional Capsule Generative Adversarial Network- Dataset
<p><strong>Dataset of 152 two-photon images (512x512) of axons with segmentation labels. </strong></p> <p>We combined data from two published sources (Bass et al., 2017; Canty et al., 2018) to get 152 (512×512) 2D images (produced from 3D image stacks), and manually produced the corresponding labels. These images were collected using in-vivo two-photon microscopy from the mouse somatosensory cortex. To generate the 2D images, we used a max projection over the 3D stack. The labels are binary segmentation maps of the axons.</p> <p>This dataset is split into a train (132 images) and test (20 images) sets. The raw 2D images of axons are in /original folder, and the segmentation labels are in /mask folder.</p> <p><strong>Please cite the following paper when using this dataset:</strong></p> <p>Bass, C., Dai, T., Billot, B., Arulkumaran, K., Creswell, A., Clopath, C., De Paola, V., and Bharath, A. A., 2019. “Image synthesis with a convolutional capsule generative adversarial network,” <em>Medial Imaging with Deep Learning.</em></p> <p><strong>This dataset was complied from the following publications:</strong><br> Bass, C., Helkkula, P., De Paola, V., Clopath, C. and Bharath, A.A., 2017. Detection of axonal synapses in 3D two-photon images. PloS one, 12(9), p.e0183309.<br> Canty, A.J., Jackson, J.S., Huang, L., Trabalza, A., Bass, C., Little, G. and De Paola, V., 2018. Single-axon-resolution intravital imaging reveals a rapid onset form of Wallerian degeneration in the adult neocortex. <em>bioRxiv</em>, p.391425.</p>
Datasets used in a Transformer network for image inversion of multi-dimensional nonuniform aperture synthesis radiometers
<p><span>该数据集于 2023 年 11 月在中南大学生成,并通过 matlab 仿真软件进行仿真和收集。主要用于图像重建网络的训练和测试。</span>该数据集由原始场景亮度数据、能见度数据和一维、二维和三维非均匀天线阵列图像重建的能见度函数对应的频域采样点位置数据,以及使用其他一些常规方法进行图像重建获得的亮度数据组成。此外,为了验证所提方法的有效性,在工作频率为 33.5 Ghz 的原型 8 元一维非均匀天线阵列上进行了室内实验,并生成了测量数据集。</p> <p>具体来说,名为 Tb_in、V2_noise、T3_AAF 和 T2_idft 的四个仿真数据集存储在名为 1d 的 zip 包中。</p> <p>Tb_IN_1d存储了一维非均匀天线对应的原始场景亮温数据,该数据选自西北工业大学制作的遥感影像场景分类公共数据集。</p> <p>V2_noise存储了包含各种误差的能见度函数值,主要是通过将原始场景亮温图像输入到运行在接收频率为 33.5 GHz 的非均匀积分孔径辐射计模拟程序中得到的。</p> <p>T2_idft 和 T3_AAF 分别是使用逆离散傅里叶变换和阵列因子形成方法进行图像重建获得的明亮温度数据。这两组数据都可用于后续的比较实验。</p> <p>名为 Tb_IN_2d、Tb_out_2d、VS_2d 和 VS_P_2d 的四个数据集存储在名为 2d 的 zip 包中。</p> <p>Tb_IN_2d内部存储的是二维非均匀天线对应的原始场景亮温数据,该数据选自西北工业大学制作的遥感影像场景分类公共数据集。</p> <p>VS_2d为二维非均匀天线阵列对应的能见度函数值,主要是将原始场景亮温图像输入到接收频率为 33.5 GHz 的非均匀集成孔径辐射计模拟程序中得到的。</p> <p>VS_P_2d存储了二维非均匀天线阵列的能见度函数对应的频域采样点位置,该值主要通过计算能见度函数值得到。</p> <p>Tb_out_2d文件存储了使用传统方法进行图像重建得到的亮温值,该数据也用于后续与所提方法获得的数据的比较实验。</p> <p>名为 Tb_IN_3d、Tb_out_3d、VS_3d 和 VS_P_3d 的四个数据集存储在名为 3d 的 zip 包中。</p> <p>Tb_IN_3d内部存储的是 3D 非均匀天线对应的原始场景亮温数据,该数据选自西北工业大学制作的遥感图像场景分类公共数据集。</p> <p>VS_3d是三维非均匀天线阵列对应的能见度函数值,是将原始场景亮温图像输入到接收频率为 33.5 GHz 的非均匀积分孔径辐射计仿真程序中得到的。</p> <p>VS_P_3d存储了三维非均匀天线阵列的能见度函数对应的频域采样点位置,该位置是通过计算能见度函数值得到的。</p> <p>Tb_out_3d文件存储了使用常规方法进行图像重建得到的亮温值,该数据也用于后续与所提方法获得的数据的比较实验。</p> <p>名为 Array2_R、Array3_R、V2_noise 和 Tb_out 的四个数据集存储在名为 8mm8 channel 的 zip 包中。</p> <p>存储在 Array2_R 和 Array3_R 中的是系统在不同位置测量的目标点源的相关矩阵,矩阵中元素的值反映了测试点对目标点源的检测能力。根据此相关矩阵,可以计算可见性值。</p> <p>存储在 V2_noise 内部的是包含各种误差的测量可见性函数的样本。对这些数据进行实验主要是为了验证所提方法的有效性。</p> <p>存储在 Tb_out 中的是使用测试数据集获得的亮温结果数据,用于测试训练的网络。</p>
Linked collectors and determiners for: Taxonomic synthesis of the eastern North American millipede genus Pseudopolydesmus (Diplopoda: Polydesmida: Polydesmidae), utilizing high-detail ultraviolet fluorescence imaging.
Natural history specimen data linked to collectors and determiners held within, "Taxonomic synthesis of the eastern North American millipede genus Pseudopolydesmus (Diplopoda: Polydesmida: Polydesmidae), utilizing high-detail ultraviolet fluorescence imaging". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7226548c-af21-4648-85ea-733acdfda22e">https://bionomia.net/dataset/7226548c-af21-4648-85ea-733acdfda22e</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7226548c-af21-4648-85ea-733acdfda22e">https://gbif.org/dataset/7226548c-af21-4648-85ea-733acdfda22e</a>. Formatted as a Frictionless Data package.
Synthesis of large scale 3D microscopic images of 3D cell cultures for training and benchmarking
<p>Accompaning data to the paper:</p> <p>Synthesis of large scale 3D microscopic images of 3D cell cultures for training and benchmarking</p>
Quantum-inspired computational wavefront shaping enables turbulence-resilient distributed aperture synthesis imaging
Open the record for dataset details and reuse information.
Microscopy images and movies supporting the publication: "tRNA tracking for direct measurements of protein synthesis kinetics in live cells"
<p>This repository contains experimental and simulated microscopy movies and images supporting the publication: Volkov et al. (2018) tRNA tracking for direct measurements of protein synthesis kinetics in live cells. <em>Nat Chem Biol, </em>DOI: 10.1038/s41589-018-0063-y</p> <p>A detailed list of files and file organisation can be found in Repository_content.pdf.</p>
Data from: Real-time imaging of rotation during synthesis by the replisome
Open the record for dataset details and reuse information.
Images to accompany "A Renaissance Synthesis of Ancient Christian Themes: Architecture, Altarpieces and Imagined Spaces in San Giovanni Crisostomo, Venice, 1495-1520" by Éamonn Ó Carragáin
<p>A set of photographs chosen to illustrate the article <em><a href="https://doi.org/10.1484/m.sem-eb.5.119636">A Renaissance Synthesis of Ancient Christian Themes: Architecture, Altarpieces and Imagined Spaces in San Giovanni Crisostomo, Venice, 1495-1520</a> (https://doi.org/10.1484/m.sem-eb.5.119636)</em> by Éamonn Ó Carragáin. The photographs were taken by Éamonn Ó Carragáin between May 2015 and May 2017 in the church of <a href="https://en.wikipedia.org/wiki/San_Giovanni_Grisostomo,_Venice">San Giovanni Crisostomo, Venice</a>, Italy. </p> <p><strong>File List</strong></p> <p><em>Note: The numbering of files matches the numbering of figures in the published article. There is no Figure 1.</em></p> <p>1. Filename: figure_02.jpg <br> <em>Figure 2. The Modonna Greca, legacy of Giacomo de’ Bernabò, d. 1438; below, altarpiece by Tullio Lombardo, inserted 1506. </em></p> <p>2. Filename: figure_03.jpg<br> <em>Figure 3. The Bernabò Chapel and altarpiece; Pulpit donated by Ludovico Talenti; Monument to Talenti.</em> </p> <p>3. Filename: figure_04.jpg <br> <em>Figure 4. View of the Bernabò Chapel.</em> </p> <p>4. Filename: figure_05.jpg<br> <em>Figure 5. High altar, and Sebastiano Luciani's altarpiece. Note its framing pillars, and the steps leading to the altar area: these are echoed by the pillar, and the steps, in the painting. </em></p> <p>5. Filename: figure_06.jpg<br> <em>Figure 6. Nave of San Giovanni Crisostomo, showing steps and tiled floor, both echoed in the altarpiece.</em> </p> <p>6. Filename: figure_07.jpg<br> <em>Figure 7. Diletti Chapel (viewed from the Bernabò Chapel), showing the light from the side windows.</em> </p> <p>7. Filename: figure_08.jpg <br> <em>Figure 8. Diletti Chapel, showing St Christopher and St Louis of Toulouse standing inside the painted chancel, and looking across the nave towards the Bernabò Chapel. </em></p> <p>8. Filename: figures_with_captions.pptx <br> <em>A Microsoft Powerpoint document showing each of the figures in order with their captions.</em></p>
Dataset for the publication: Multi-line SiO fluorescence imaging in the flame synthesis of silica nanoparticles from SiCl4
<p>Dataset for the publication: </p> <p>Multi-line SiO fluorescence imaging in the flame synthesis of silica nanoparticles from SiCl4</p> <p>Abbas El Moussawi, Torsten Endres, Sebastian Peukert, Siavash Zabeti, Thomas Dreier, <br> Mustapha Fikri, Christof Schulz </p> <p>in Combustion and Flame</p> <p>This dataset contains the raw LIF imaging data (LIF_Imaging_Rawdata.7z), an overview of the measured flame conditions and their parameters (MeasumentsOverview.xlsx), the determined temperature and SiO-concentration profiles (T&C-SiO-LIF.Exp.Profiles.xlsx), the Origin/Matlab figures from the publication (OriginData&Figures.7z) and the Chemkin project for the kinetic simulations (Chemkin.7z).Remarks.docx contains instructions for performing the Chemkin simulations and information about the software&version used.</p> <p><br> The Matlab code for analysing the raw data can be found in the separate Zenodo publication:<br> <a href="https://doi.org/10.5281/zenodo.4399312">10.5281/zenodo.4399312</a><br> However, this is embargoed for 12 months, as a better documented release of the code is planned during this period.</p>
Figure 29 in Taxonomic synthesis of the eastern North American millipede genus Pseudopolydesmus (Diplopoda: Polydesmida: Polydesmidae), utilizing high-detail ultraviolet fluorescence imaging
Figure 29. Pseudopolydesmus paludicolus, metatergite and paranota of body ring 13. Holotype, adult male (USNM, ultraviolet enhancement).
Figure 32 in Taxonomic synthesis of the eastern North American millipede genus Pseudopolydesmus (Diplopoda: Polydesmida: Polydesmidae), utilizing high-detail ultraviolet fluorescence imaging
Figure 32. Pseudopolydesmus serratus, metatergite and paranota of body ring 9. Adult female (FMNH INS2817, ultraviolet enhancement).
Figure 31 in Taxonomic synthesis of the eastern North American millipede genus Pseudopolydesmus (Diplopoda: Polydesmida: Polydesmidae), utilizing high-detail ultraviolet fluorescence imaging
Figure 31. Left gonopod of Pseudopolydesmus paludicolus, e c t al v i e w (V T E C M P E 01 1 6 9, s c a n n i n g e l e c t r o n micrograph). Image mirrored to appear as right gonopod.
Figure 30 in Taxonomic synthesis of the eastern North American millipede genus Pseudopolydesmus (Diplopoda: Polydesmida: Polydesmidae), utilizing high-detail ultraviolet fluorescence imaging
Figure 30. Gonopod of Pseudopolydesmus paludicolus (VTEC MPE01170, ultraviolet enhancement). A, left gonopod, ectal view. B, left gonopod, medial view. C, left gonopod, posterior oblique view, showing process e2 projecting laterally. All images mirrored to appear as right gonopod.
Figure 24 in Taxonomic synthesis of the eastern North American millipede genus Pseudopolydesmus (Diplopoda: Polydesmida: Polydesmidae), utilizing high-detail ultraviolet fluorescence imaging
Figure 24. Gonopod of Pseudopolydesmus minor. Holotype, Polydesmus euthetus (USNM, ultraviolet enhancement). A, right gonopod, ectal view. B, right gonopod, medial view.
Figure 22 in Taxonomic synthesis of the eastern North American millipede genus Pseudopolydesmus (Diplopoda: Polydesmida: Polydesmidae), utilizing high-detail ultraviolet fluorescence imaging
Figure 22. Pseudopolydesmus minor, metatergite and paranota of body ring 9. Paratype, Polydesmus neoterus type series, adult female (USNM, ultraviolet enhancement).
Figure 33 in Taxonomic synthesis of the eastern North American millipede genus Pseudopolydesmus (Diplopoda: Polydesmida: Polydesmidae), utilizing high-detail ultraviolet fluorescence imaging
Figure 33. Gonopod of Pseudopolydesmus serratus (FMNH INS2819, scanning electron micrograph). A, left gonopod, ectal view. B, left gonopod, medial view. Both images mirrored to appear as right gonopod.
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.