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Fig. 7 in Adding depth to line artwork by digital stippling-a step-by-step guide to the method
Fig. 7 How to save and load a brush library. A click on the upper right corner of the Brushes panel opens a dropdown menu. a Save Brush Library opens an explorer window to select the proper location for storing the library. b Custom-made libraries can be loaded by clicking on Other Library
Fig. 9 The Stroke panel. a Checking this box change a line into a dashed line. b in Adding depth to line artwork by digital stippling-a step-by-step guide to the method
Fig. 9 The Stroke panel. a Checking this box change a line into a dashed line. b For stippling brushes, it is recommended to check Preserves exact dash and gap lengths. c The dash and gap distance is manually adjustable and proper values depend on the underlying stippling pattern
Experimental dataset: stationary images for digital image correlation uncertainty quantification
<div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div>-------------------------------------------------------------------------------- <strong>SUMMARY</strong> ---------------------------------------------------------------------------</div> <div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div> </div> <div>Stereo-DIC 5 MPx system was used to capture sets of stationary images for quantification of DIC uncertainties.</div> <div> </div> <div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div>-------------------------------------------------------------------------------- <strong>FOLDERS </strong>---------------------------------------------------------------------------</div> <div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div> </div> <div><strong>Image sets:</strong> </div> <div> </div> <div><strong>Set 1: </strong>100 stationary images with cross polarisation to reduce effect of specular reflection. Test sample clamped in the clamps of a uniaxial tensile test bench.</div> <div><strong>Set 2: </strong>Same as set 1, but test sample unclamped at the bottom, displaced by 1 mm vertically. Meant to introduce rigid body motion into teh stationary images. </div> <div>For investigation of the impact of cross-polarisation: image gradients made similar as much as possible by adjusting exposure time and apetrture. </div> <div><strong>Set 3:</strong> With cross polarisation - 100 stationary images.</div> <div><strong>Set 4:</strong> Without cross polarisation - 100 stationary images.</div> <div> </div> <div>Images for stereo calibration:</div> <div> </div> <div><strong>Calib_sets_1_2: </strong>Calibration images for sets 1 and 2 mentioned above </div> <div><strong>Calib_sets_3:</strong> Calibration images for set 3 mentioned above </div> <div><strong>Calib_sets_4: </strong>Calibration images for set 4 mentioned above </div> <div> </div> <div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div>------------------------------------------------------------------------ <strong>SUPPORTING NINFORMATION </strong>--------------------------------------------------------------------</div> <div>---------------------------------------------------------------------------------------------------------------------------------------------------------------------- </div> <div> </div> <div>Image folder for each set contains an *.xaml file with image capture settings.</div> <div>Each calibration image folder contains a *.caldat file with intrinsic and extrinsic stereo camera parameters identified by MatchID 2024.2 DIC package.</div>
PMcardio ECG Image Database (PM-ECG-ID): A Diverse ECG Database for Evaluating Digitization Solutions
<p>The dataset presents the collection of a diverse electrocardiogram (ECG) database for testing and evaluating ECG digitization solutions. The Powerful Medical ECG image database was curated using 100 ECG waveforms selected from the PTB-XL Digital Waveform Database and various images generated from the base waveforms with varying lead visibility and real-world paper deformations, including the use of different mobile phones, bends, crumbles, scans, and photos of computer screens with ECGs. The ECG waveforms were augmented using various techniques, including changes in contrast, brightness, perspective transformation, rotation, image blur, JPEG compression, and resolution change. This extensive approach yielded 6,000 unique entries, which provides a wide range of data variance and extreme cases to evaluate the limitations of ECG digitization solutions and improve their performance, and serves as a benchmark to evaluate ECG digitization solutions.<br><br>PM-ECG-ID database contains electrocardiogram (ECG) images and their corresponding ECG information. The data records are organized in a hierarchical folder structure, which includes metadata, waveform data, and visual data folders. The contents of each folder are described below:<br><br></p> <ul> <li><strong>metadata.csv:</strong> <br>This file serves as a key-to-key bridge between the image data and the corresponding ECG information. It contains the following columns: <ul> <li><strong>Image name: </strong>image name with extension,</li> <li><strong>ECG ID:</strong> this ID corresponds to the specific ECG identifier from the original PTB-XL dataset. Under this ID you can find a cutout array in the <em>leads.npz </em>and <em>rhythms.npz,</em></li> <li><strong>Image relative path: </strong>relative path to the image in question,</li> <li><strong>Image page: </strong>page number of the particular image (starting from 0),</li> <li><strong>ECG number of pages: </strong>number of pages in the whole ECG,</li> <li><strong>ECG number of columns per page: </strong>number of columns per page in the ECG,</li> <li><strong>ECG number of rows per page: </strong>number of rows in the ECG,</li> <li><strong>ECG number of rhythm leads: </strong>number of rhythms in the ECG,</li> <li><strong>ECG format: </strong>short version of the ECG format.</li> </ul> </li> <li><strong>data </strong>folder: <ul> <li><strong>leads.npz: </strong>NPZ file containing all underlying cutout lead signals; each signal is there under its ECG ID.</li> <li><strong>rhythms.npz:</strong> NPZ file containing all underlying rhythm signals; each signal is there under its ECG ID. If no rhythm lead is in the ECG, you will find an empty array in the NPZ.</li> </ul> </li> <li><strong>visual_data</strong> folder: <br>This folder contains subfolders for various image data, including augmented photos and visualization and different types of photos of ECG printouts. The subfolders are organized based on the specific augmentation or type of photograph. These folders contain images with various augmentation settings, such as different levels of blur, brightness, contrast, padding, perspective transformation, resolution scaling, and rotation. The database is organized in a way that allows for easy navigation and understanding of the different augmentations applied to the image data. Each of these subfolders contains images relevant to the specific augmentation or type of photograph. The <em>metadata.csv</em> file provides a direct link to each image and its associated ECG information.</li> </ul>
Raw Data of the Survey on Practitioners' Perspectives on Using & Developing Digital Twin Systems
<p>Here, we present the documents regarding our survey on understanding practitioners' perspectives on using & developing digital twin systems. Our survey has attracted 131 participants from diverse industries. Here, we attached the survey questions and the raw data for the survey responses. </p>
FIGURE 3 in The study of online digitized specimens revalidates Andersonglossum boreale as a species different from A. virginianum (Boraginaceae)
FIGURE 3. Density comparisons for two species for calyx length at anthesis (top-left), calyx length at fruiting (top-right), nutlet length (bottomleft), and corolla diameter (bottom right). Red is Andersonglossum boreale, and blue is Andersonglossum virginianum, x-axis is in mm.
FIGURE 2 in The study of online digitized specimens revalidates Andersonglossum boreale as a species different from A. virginianum (Boraginaceae)
FIGURE 2. Box plots for two species for calyx length at anthesis (top-left), calyx length during fruiting (top-right), nutlet length (bottomleft), and corolla diameter (bottom-right), y-axis is in mm.
FIGURE 1 in The study of online digitized specimens revalidates Andersonglossum boreale as a species different from A. virginianum (Boraginaceae)
FIGURE 1. Scatter plot of the measurements of calyx length at anthesis vs. corolla diameter (upper graph), and calyx length in fruit vs. nutlet length (lower graph). Red dots represent Andersonglossum boreale, blue dots represent Andersonglossum virginianum.
FIGURE 3. Peliosanthes griffithii var. breviracemosa. Digital epitype, L. Averyanov, CPC 5402b in New taxa of Peliosanthes and Tupistra (Asparagaceae) in the flora of Laos and Vietnam and supplemental data for T. patula
FIGURE 3. Peliosanthes griffithii var. breviracemosa. Digital epitype, L. Averyanov, CPC 5402b /TM 1065 /13391. Photos, correction and design by L. Averyanov.
FIGURE 5. Tupistra gracilis. Digital epitype, L. Averyanov, CPC 6721a in New taxa of Peliosanthes and Tupistra (Asparagaceae) in the flora of Laos and Vietnam and supplemental data for T. patula
FIGURE 5. Tupistra gracilis. Digital epitype, L. Averyanov, CPC 6721a. Photos, correction and design by L. Averyanov.
FIGURE 6. Tupistra patula. Digital epitype, N.S in New taxa of Peliosanthes and Tupistra (Asparagaceae) in the flora of Laos and Vietnam and supplemental data for T. patula
FIGURE 6. Tupistra patula. Digital epitype, N.S. Khang et al., NSK 845. Photos, correction and design by L. Averyanov.
FIGURE 1. Aspidistra letreae. Digital epitype, 0268 in Aspidistra letreae (Asparagaceae), a new species from central Vietnam
FIGURE 1. Aspidistra letreae. Digital epitype, 0268/PVT 712. Photographs of Anh Le Tuan, correction and design by L. Averyanov.
Proposal of Attributes for the Data Model of a European Digital Building Renovation Logbook
<p>This document serves as supplementary material to the paper "Envisaging a European Digital Building Renovation Logbook: Proposal of a Data Model", by Marta Gómez-Gil, Sara Karami, José-Paulo de Almeida, Alberto Cardoso, Almudena Espinosa-Fernández and Belinda López-Mesa. Its purpose is to complement and expand upon the methodology outlined in the paper, with a specific focus on the identification of attributes for the development of a data model for the European Digital Building Logbook, focused on renovation.</p>
Figure 13 in A new Antarctic species of Orchomenella G.O. Sars, 1890 (Amphipoda: Lysianassoidea: Tryphosidae): is phase-contrast micro-tomography a mature technique for digital holotypes?
Figure 13. Rooted maximum likelihood tree of the Orchomene s.l. complex COI. Bootstrap support is shown for each branch. Hirondellea gigas was used as the outgroup. Ŋe position of Orchomenella rinamontiae is shown in yellow.
Figure 11 in A new Antarctic species of Orchomenella G.O. Sars, 1890 (Amphipoda: Lysianassoidea: Tryphosidae): is phase-contrast micro-tomography a mature technique for digital holotypes?
Figure 11. Orchomenella rinamontiae. Holotype, ♀, 24.4 mm. Less uropods (U1, U2, and U3) and telson (T) in dorsal view. Scale bars: 0.5 mm.
Figure 12 in A new Antarctic species of Orchomenella G.O. Sars, 1890 (Amphipoda: Lysianassoidea: Tryphosidae): is phase-contrast micro-tomography a mature technique for digital holotypes?
Figure 12. Unrooted non-redundant maximum likelihood tree of the Lysianassoidea COI. Leaves represent individual specimens, coloured by genus where this information was available in the NCBI database. Our samples of Orchomenella rinamontiae, from both RNA sequencing and DNA sequencing, are coloured in red. Ŋe area of the tree illustrated in Figure 13 is enclosed by a grey doưed line. A complete list of sequences in each genus group can be found in the Supporting Information (Table S1).
Figure 9. Synchrotron radiation X in A new Antarctic species of Orchomenella G.O. Sars, 1890 (Amphipoda: Lysianassoidea: Tryphosidae): is phase-contrast micro-tomography a mature technique for digital holotypes?
Figure 9. Synchrotron radiation X-ray phase-contrast micro-tomography (A, B) and scanning electron microscopy (C–F) of gnathopods of Orchomenella rinamontiae. Paratypes, ♂♂, 11.3 mm (A, B) and 11.3 and 15.4 mm (C–F). A, lateral view of right gnathopod 2. B, medial view of right gnathopod 2. C, lateral view of less gnathopod 1. D, medial view of right gnathopod 1. E, lateral view of less gnathopod 2. F, medial view of right gnathopod 2. Abbreviations: a, gnathopod 1 lateral spine; b, gnathopod 1 medial spine; c, gnathopod 2 tip of dactyl. Scale bars: 200 µm.
Figure 10 in A new Antarctic species of Orchomenella G.O. Sars, 1890 (Amphipoda: Lysianassoidea: Tryphosidae): is phase-contrast micro-tomography a mature technique for digital holotypes?
Figure 10. Orchomenella rinamontiae. Holotype, ♀, 24.4 mm. Medial view of less gnathopod 2 (Gn2). Scale bars: 1 mm.
Figure 8 in A new Antarctic species of Orchomenella G.O. Sars, 1890 (Amphipoda: Lysianassoidea: Tryphosidae): is phase-contrast micro-tomography a mature technique for digital holotypes?
Figure 8. Orchomenella rinamontiae. Holotype, ♀, 24.4 mm. Right maxilliped (Mxpd) and less inner plate (L inner pl). Scale bars: 0.1 mm for L inner pl; 0.5 mm for Mxpd.
Figure 7 in A new Antarctic species of Orchomenella G.O. Sars, 1890 (Amphipoda: Lysianassoidea: Tryphosidae): is phase-contrast micro-tomography a mature technique for digital holotypes?
Figure 7. Scanning electron microscopy of maxillipeds of Orchomenella rinamontiae. Paratypes, ♂♂, 15.4 and 16.8 mm. A, anterior/dorsal view. B, less dorsal view. C, dorsal view of outer and inner plates. D, higher magnification of the tip of the right outer plate. E, dorsal view of right palp. Scale bars: 200 µm in A–C; 20 µm in D; 100 µm in E.
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.