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155
datasets available to search
ShareScore release 0.9.0
Dataset results
155 results for “2D images”
Atom-by-atom Imaging of Moiré Transformations in 2D Transition Metal Dichalcogenides
<p>This dataset contains the images used in the manuscript "Atom-by-atom Imaging of Moiré Transformations in 2D Transition Metal Dichalcogenides".</p>
TINKER_WP3_2D images - profile scans dataset_221123
<p>a subset of the 2d gap images including profile measurements along x and y axes.</p>
Imaging the northeast lobe of the Sudbury Structure through 2D and 2.5D visco-acoustic full-waveform inversion
<p>Seismic reflection profile LN182 - Northeast lobe of the Sudbury Structure. The LN182 transect comprises over 1,300 receivers (single wireless vertical-component 5-Hz geophones) and over 1,500 vibroseis sources. A linear upsweep of 5-120 Hz was generated by four vibroseis trucks forming the vibroseis source system. </p>
Datasets for 3D shape reconstruction from 2D microscopy images
<p>Here we publish two single cell datasets for 3D shape reconstruction from 2D microscopy images with a detailed description.</p>
Data associated with "Imaging and Simulation of Surface Plasmon Polaritons on Layered 2D MXenes"
<p>Data and code for "Imaging and Simulation of Surface Plasmon Polaritons on Layered 2D MXenes"<br>Janek Rieger, Atreyie Ghosh, Joseph L. Spellberg, Calvin Raab, Aishani Mohan, Prakriti P. Joshi, Sarah B. King</p>
2D image dataset for the presence or absence of aesthetical defects on EV battery welds.
<p>A 2D image dataset of EV car battery welds is used to train AI/ML models on weld classification for quality inspection applications or other purposes.</p> <p> </p> <p>Includes 1 zip file with 61,670 greyscale images of 409x40 resolution split in</p> <ul> <li>training set [ 43,169 images]</li> <li>validation set [ 9,250 images]</li> <li>testing set [ 9,251 images]</li> </ul> <p> </p> <p>and the following 2 classes:</p> <p>1] OK --> indicating the absence of aesthetical defects</p> <p>2] KO --> indicating the presense of aesthetical defects</p>
Digital breast tomosynthesis and contrast-enhanced dual-energy digital mammography alone and in combination compared to 2D digital synthetized mammography and MR imaging in breast cancer detection and classification
<p>We uploaded the dataset of included patients of manuscript: Petrillo A, Fusco R, Vallone P, Filice S, Granata V, Petrosino T, Rosaria Rubulotta M, Setola SV, Mattace Raso M, Maio F, Raiano C, Siani C, Di Bonito M, Botti G. Digital breast tomosynthesis and contrast-enhanced dual-energy digital mammography alone and in combination compared to 2D digital synthetized mammography and MR imaging in breast cancer detection and classification. Breast J. 2020 May;26(5):860-872. doi: 10.1111/tbj.13739. Epub 2019 Dec 30. PMID: 31886607.</p>
Data from: Comparing ant morphology measurements from microscope and online AntWeb.org 2D z-stacked images
<p><span>Unprecedented technological advances in digitization and the steadily expanding open-access digital repositories are yielding new opportunities to quickly and efficiently measure morphological traits without transportation and advanced/expensive microscope machinery. A prime example is the AntWeb.org database, which allows researchers from all over the world to study taxonomic, ecological, or evolutionary questions on the same ant specimens with ease. However, the reproducibility and reliability of morphometric data deduced from AntWeb compared to traditional microscope measurements has not yet been tested.</span></p> <p><span>Here, we compared 12 morphological traits of 46 <em>Temnothorax</em> ant specimens measured either directly by stereomicroscope on physical specimens or via the widely used open access software tpsDig utilizing AntWeb digital images. We employed a complex statistical framework to test several aspects of reproducibility and reliability between the methods. We estimated (i) the agreement between the measurement methods and (ii) the trait value dependence of the agreement, then (iii) compared the coefficients of variation produced by the different methods, and finally, (iv) tested for systematic bias between the methods in a mixed modelling-based statistical framework.</span></p> <p><span>The stereomicroscope measurements were extremely precise. Our comparisons showed that agreement between the two methods was exceptionally high, without trait value dependence. Further, the coefficients of variation did not differ between the methods. However, we found systematic bias in eight traits: apart from one trait where software measurements overestimated the microscopic measurements, the former underestimated the latter.</span></p> <p><span>Our results shed light on the fact that relying solely on the level of agreement between methods can be highly misleading. In our case, even though the software measurements predicted microscope measurements very well, replacing traditional microscope measurements with software measurements, and especially mixing data collected by the different methods, might result in erroneous conclusions. We provide guidance on the best way to utilize virtual specimens (2D z-stacked images) as a source of morphometric data, emphasizing the method's limitations in certain fields and applications.</span></p>
The Use of 2D and 3D Imaging Modalities and Its Influence on Diagnosis and Treatment Planning in Orthodontics
ClinicalTrials.gov study NCT01246830. IPD Sharing: Not stated. Countries: 1. Publications: 12.
Evaluation of Virtual Touch Tissue Imaging Quantification (VTIQ - 2D-SWE) in the Assessment of BI-RADS® 3 and 4 Lesions
ClinicalTrials.gov study NCT02638935. IPD Sharing: Not stated. Countries: 6. Publications: 13.
Data from: Comparing ant morphology measurements from microscope and online AntWeb.org 2D z-stacked images
Open the record for dataset details and reuse information.
Fig. 6.12 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.12. Cost/efficiency ratio of digitisation for middle sized specimens. (CT is based on a rental service, while the others include the purchase of the equipment).
Fig. 6.11 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.11. Comparison between the Focus Stacking Photogrammetry model (left) and the µCT model (right) of the Omorgus beetle. The models are very close, with the µCT model perhaps showing a little more detail. The µCT scan was made using a XRE UniTom at 60 kV and with a voxelsize of 29 µm. https://sketchfab.com/models/ad5fd157c5424c8fb793c1c282450d33
Fig. 6.9 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.9. Omorgus beetle structured light scanning with MechScan (left) comparison to µCT scan (right). The main difference is the lack of artefacts due to the needle with the MechScan 3D model. But the MechScan model lacks almost the entire ventral area of the abdomen between the legs. https://sketchfab.com/models/9dc5082c8db14c92879947da927f07dc
Fig. 6.8 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.8. Comparison between different treatments of the µCT model. Top and bottom left: µCT model without any treatment regarding removal of the artefacts https://sketchfab.com/models/169c2b29a1404e5cb5f6b6ea0928d075. Top and bottom in the middle: area affected by the metal artefact quickly cut out in GOM Inspect https://sketchfab.com/models/ f40a108e43ea44d78ca3d04ac41ad0a0; Top and bottom right: Carefully removed the needle through segmentation in Dragonfly 3.5. https://sketchfab.com/models/dc194a4e05da4f7ab787c8c7b028d2e7
Fig. 6.7. Bone retoucher digitised with photogrammetry using a in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.7. Bone retoucher digitised with photogrammetry using a zoom lens (Ptg 18–55), a fixed focal macro lens (Ptg 100), focus stacking photogrammetry (FS-Ptg 60), structured light (SL) and microCT (µCT).
Fig. 6.6 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.6. Detailed view of the sea urchins digitised with different equipment. The goal was to digitise the small punctures on the surface as these aid in identifying the species of the sea urchin.
Fig. 5.2 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 5.2. Micro-contrast enhancement and relighting in DxO OpticsPro 11. The original image is on the left, the post-processed picture on the right. The dark area in the middle is now sufficiently exposed, without losing the look and feel of the specimen.
Fig. 6.10 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.10. Comparison of the Photogrammetry (left) vs µCT models (right) of the Omorgus beetle. The large difference between them is the less pronounced detail in the photogrammetry model. To fully see the detailed differences, check the models online: https://sketchfab.com/models/a1fb6b8289f74c428782f43d502e771e
Fig. 4.8 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 4.8. Pre-Columbian handle of an incense shovel from the Royal Museum of Art and History (RMAH) collections, on top in white light, at bottom in infrared. The infrared image only displays carbon-based pigment in black, the other pigments used are transparent to infrared.
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.