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Figure 1. 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 1. Synchrotron radiation X-ray phase-contrast micro-tomography of Orchomenella rinamontiae. Paratype, ♂, 11.3 mm. Volume renderings of lateral less view (A) and ventral view (B). Abbreviations: A1, antenna 1; A2, antenna 2; Gn1, gnathopod 1; Gn2, gnathopod 2. Scale bar: 4.0 mm.
Figure 5 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 5. Scanning electron microscopy of mandibles of Orchomenella rinamontiae. Paratypes, ♂♂, 15.4 and 16.8 mm. A, B, less palp in median view (A) and lateral view (B). C, D, less mandible in median view (C) and dorsal view (D). Abbreviations: i, incisor; l, lacinia mobilis; m, molar process. Scale bars: 200 µm in A, B; 50 µm in C; 40 µm in D.
Figure 4. 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 4. Synchrotron radiation X-ray phase-contrast micro-tomography of Orchomenella rinamontiae. Paratype, ♂, 11.3 mm. Volume renderings of the mouth in ventral view (A), higher magnification of the right mouthparts in ventral view (B), right mouthparts in median view (C), and mouth in dorsal view with the observation point inside the animal (D). Abbreviations: a, outer plate maxilliped; b, inner plate maxilliped; c, outer plate maxilla 2; d, inner plate maxilla 2; e, palp maxilla 1; f, outer plate maxilla 1; g, inner plate maxilla 1. Scale bars: 200 µm.
Figure 6 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 6. Scanning electron microscopy of maxillae of Orchomenella rinamontiae. Paratypes, ♂♂, 15.4 and 16.8 mm. A, right maxilla 2 in median view. B, right maxilla 1 in median view. C, less maxilla 1 in median view. D, right maxilla 1 inner plate in median view. E, F, outer plates of right maxilla 1 (E) and less maxilla 1 (F) in median view. G, tip of maxillular palp. Scale bars: 100 µm in A–C; 40 µm in D–G.
Figure 3 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 3. Scanning electron microscopy of antenna 1 of Orchomenella rinamontiae. Paratype, ♂, 11.3 mm. Calceoli (white arrows) are present on each flagellar article. A–C, neighbouring calceoli are orientated the same on the proximal part of the flagellum (A, B) and rotated by ~90° on the distal part (C). D, a higher magnification of a lateral view of a calceolus. Abbreviation: a, callynophore. Scale bars: 100 µm in A; 20 µm in B, C; 10 µm in D.
Figure 2 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 2. Scanning electron microscopy of antenna 1 of Orchomenella rinamontiae. Paratype, ♂, 11.3 mm. Scale bar: 200 µm.
The (digital) Wellbeing of German Smartphone Users_ Muench & Carolus
Open the record for dataset details and reuse information.
Assessing Digital Infrastructure in Internet Use: A Comparative Study of Southeast Asia and Balkan Region
<p>Data used for assessing digital infrastructure in internet use - comnparison of South East Asia and Balkan Region. Data on mobile cellular, fixed broadband, GDP, Key global ICT indicators. Data collected and processed as part of the ODDEA (Overcoming Digital Divide Between Europe and Southeast Asia) EU research project (<em>Project ID: HORIZON MSCA-SE 101086381). </em></p>
The Potential of Digitalization and Social Media in Emerging Countries: Study in Indonesia and Montenegro
<p>This study analyse the adoption of e-commerce and social media in Indonesia and Montenegro. Eventhough these countries cannot be compared in terms of monetary value in e-commerce due to diffrenet in number of population, how ever the similarities in customer behaviors in the online market accross the globe are worth to be investigated for developing better strategies in online business.</p>
Digital and Physical Worlds: Exploring Consumer Information Needs During UK Bank Branch Closures
<p><span>The transition from physical to digital business models has accelerated rapidly in all sectors. This </span><span>shift is evident in the UK retail banking sector through the swift adoption of digital business models</span><span> particularly with the widespread closure of bank branches across the UK. Smooth transition to digital services requires deeper understanding of consumer behaviours. The paper highlights the early findings on the information needs that emerge during this era of bank branch closures. </span></p>
Digital image correlation experiments involving in-plane loading of a composite laminate
<div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div>-------------------------------------------------------------------------------- <strong>SUMMARY</strong> ---------------------------------------------------------------------------</div> <div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div> </div> <div>Stereo-DIC 5 MPx system was used to perform experiments on a composite laminate.</div> <div>Thickness = 2.48 mm</div> <div>Layup is [0, 45 -45 90]2s leading to quasi-isotropic behaviour</div> <div> </div> <div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div>-------------------------------------------------------------------------------- <strong>FOLDERS </strong>---------------------------------------------------------------------------</div> <div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div> </div> <div><strong>Image sets: </strong> </div> <div><strong>Sample 1:</strong> monotonically loaded up to 7.2 kN. <br><strong>Sample 2: </strong>monotonically loaded up to 10 kN.<br><strong>Sample 3:</strong> loaded cyclically with increasing peak load to study the presence of permanent strains.</div> <div> </div> <div><strong>Each folder contains the following subfolders:</strong></div> <div><strong>stationary: </strong>stationary images for DIC noise evaluation</div> <div><strong>calib: </strong>calibration target images for stereo-DIC calibration using MatchID software</div> <div><strong>test: </strong>images of the test sample being loaded, with force.csv including load reading from the uniaxial test bench synced with the images. </div> <div> </div> <div> </div> <div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div>------------------------------------------------------------------------ <strong>SUPPORTING NINFORMATION </strong>--------------------------------------------------------------------</div> <div>---------------------------------------------------------------------------------------------------------------------------------------------------------------------- </div> <div> </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>
Appendix for 'Current Trends of Digital Marketing in the Indian Pharmaceutical Industry'
<p>This appendix provides supplementary materials for the research paper titled <em>"Current Trends of Digital Marketing in the Indian Pharmaceutical Industry."</em> It includes detailed survey questions, statistical analyses, reliability and validity reports, and comparisons of digital marketing strategies between Indian and multinational pharmaceutical companies.</p>
ROIs NanoString Digital Spatial Profiler protein assay van Hijfte et al. 2024
<p><span>Images that show ROIs of the NanoString Digital Spatial Profiler protein assay from Van Hijfte et al. 2024. See associated publication for more information.</span></p>
Dataset The Importance of Interface Design and Security Awareness in Improving Service Quality and Its Impact on Digital Customer Loyalty of Smart Mobile Banking
Open the record for dataset details and reuse information.
Marketing social e desinformação em saúde digital: análise bibliométrica de uma década de pesquisas
<p>Video resumen de un artículo presentado en el VI Congreso Latinoamericano de Marketing Social en Brasil</p>
Digital Design and Discovery of Biological Metal-Organic Frameworks for Gas Signaling
<p>This repository contains the structures, features and compositions of Bio-hMOFs database.</p> <ol> <li>Fragments and Composition: Contains the building block fragments used to generate the Bio-hMOFs.</li> <li>Structures-CIFs: Contains the structures of Bio-hMOFs</li> <li>Geometric and RACs: Contains the geomtric and RACs features of Bio-hMOFs</li> <li>Adsorption Capacity: Contains the adsorption uptake of NO and CO adsorption simulated under 298K under 1 bar and 10 bar.</li> <li>Mechanical Properties; Computed mechanical properties</li> </ol>
Dataset for generation of LOD4 models for buildings towards the automated 3D modeling of BIMs and digital twins
<div> <div>This repository contains the dataset used for the automated image-based generation of LOD4 models for buildings, along with the corresponding results. The methodology utilizing this dataset was presented in the paper "Generation of LOD4 models for buildings towards the automated 3D modeling of BIMs and digital twins" by Pantoja-Rosero et., al. (2024) (https://doi.org/10.1016/j.autcon.2024.105822).</div> </div>
ICAERUS UC5 - RURAL LOGISTICS sample dataset from STRUMICA, NORTH MACEDONIA. Photogrammetry Orthomosaic and Digital Surface Model (DSM).
<table> <tbody> <tr> <td><strong>FOLDER NAME </strong></td> <td><strong>DESCRIPTION</strong></td> </tr> <tr> <td>3D_Point_cloud</td> <td>Photogrammetry 3D point cloud in LAS format</td> </tr> <tr> <td>Digital_Surface_Model</td> <td>2.5D Digital surface elevation model in GeoJPG resampled by x5</td> </tr> <tr> <td>Orthomosaic-GeoJPG</td> <td>Orthomosaic in GeoJPG format resampled by x5</td> </tr> <tr> <td>Orthomosaic-KMZ_tiles</td> <td>Orthomosaic in GeoJPG format in Google KMZ tiles</td> </tr> <tr> <td>Orthomosaic-OpenStreetMaps</td> <td>Orthomosaic in OpenStreetMasps format</td> </tr> <tr> <td>Raw_Images</td> <td>Initial Images captured by DJI Mavic 3E drone</td> </tr> </tbody> </table>
Digital Twin-based Out-of-Distribution Detection in Autonomous Vessels
<p>This folder contains datasets, code, and analysis scripts for reproducing the results in the paper "Digital Twin-based Out-of-Distribution Detection in Autonomous Vessels". Specifically, it contains the following folders: </p> <ol> <li>Datasets <ol> <li>Dataset for each Vessel model in different maneuvers and conditions, i.e., waypoint, zigzag, ocean current (including IND and OOD).</li> <li>Configurations (Configurations used to train the DTM for each vessel in different maneuvers).</li> </ol> </li> <li>Results <ol> <li>Raw results for RQ1 and RQ2 for each vessel in different maneuvers, including the results from DTM-R and DTM-E.</li> <li>Results for RQ3 (statistical tests) derived from the above results. </li> </ol> </li> <li>Scripts and Code <ol> <li>Scripts used for statistical tests.</li> <li>DTC implementation (shown with one vessel as example).</li> <li>Code used for hyperparameter optimization.</li> <li>Inference class used for integration of DTM and DTC.</li> </ol> </li> </ol>
Thermalization and Criticality on an Analog-Digital Quantum Simulator
<p>Data underlying conclusions in https://arxiv.org/abs/2405.17385</p> <p>Fig2_1: Bitstring distributions underlying Fig. 2b,c, including evolution times in ns and lists of qubits for each system size. The data has dimension [system_sizes,randomization_index,evolution_times]. Each distribution is represented as a dictionary with keys corresponding to bitstring decimal representations, and values representing the number of times each bitstring appeared in the experiment.</p> <p>Fig3_1: Ramp dependence data underlying Fig. 3b-f,h, including also ramp times in ns and qubit coordinates. The data array has dimensions [ramp_times,repetitions,qubits]</p> <p>Fig3_2: Data collected throughout ramp (underlying Fig. 3i), including ramp fractions, ramp times in ns, and qubit coordinates. The data array has dimensions [ramp_times,ramp fractions,repetitions,qubits] </p> <p>Fig4_1: Measurements with varying number of initial excitations, used for Fig. 4a-e (n=0 used for Fig. 3g). The data was measured in 3 batches and includes various operator patterns for determining Swendsen's vortex operator. The file contains qubit coordinates, ramp times, excitation numbers, operator patterns, and the full data array. The data array has dimensions [batches,ramp_times,operator_patterns,repetitions,qubits]</p> <p>Fig4_2: Entanglement entropy data underlying Fig. 4f, as well as list of subsystem sizes and number of excitations. The data array has dimensions [subsystem_size,randomization_index,excitation_number,subsystem_index]</p> <p>Fig5_1: Thermalization data underlying Figs. 5c-e, as well as a list of qubit coordinates and evolution times in ns. The data array has dimensions [evolution_times,repetitions,qubits]. </p> <p>Fig5_2: Transport data underlying Figs. 5f-h, as well as a list of qubit coordinates and evolution times in ns. The data array has dimensions [evolution_times,repetitions,qubits].</p> <p>Fig5_3: Vorticity data underlying Figs. 5i-k, as well as a list of qubit coordinates, evolution times in ns, and operator patterns. The data array has dimensions [operator_patterns,evolution_times,repetitions,qubits]</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.