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5,800 results for “illustrations”
llustrated London News Illustration Dataset (1842-1890)
<p><strong>Description</strong></p> <p>This dataset contains comprehensive metadata for 72,081 illustrations extracted from the Illustrated London News (ILN) between 1842-1890. The ILN was the first and most influential illustrated newspaper of the Victorian era, making this dataset a valuable resource for researchers in digital humanities, media history, and visual culture studies. The dataset provides detailed information about each illustration, enabling large-scale analysis of Victorian visual culture and the evolution of newspaper illustration practices. </p> <p><strong>Content</strong></p> <p>The dataset consists of a CSV file containing the following information for each illustration:</p> <ul> <li>Publication date (YYYY-MM-DD format)</li> <li>Volume and issue number</li> <li>Page number within issue</li> <li>Bounding box coordinates (in YOLO format)</li> <li>Model confidence score from the detection model</li> <li>llustration sequence number on page (indicating reading order)</li> <li>OCR-extracted caption text</li> <li>Original Internet Archive item identifier</li> <li>Page URL for accessing the original scan</li> </ul> <p>This dataset also contains a pt file with multimodal embeddings (Open-CLIP) for all the illustrations</p> <p><strong>Methods</strong></p> <p>The illustrations were systematically extracted using several computational steps:</p> <ol> <li>Collection of 56,699 digitized pages from the Internet Archive's Serials in Microfilm Collection</li> <li>Fine-tuning of YOLOv8 object detection model on 908 manually annotated pages (mAP50: 0.964, mAP95: 0.92)</li> <li>Automated extraction of illustrations using the fine-tuned model</li> <li>Caption text extraction using Tesseract OCR</li> <li>Generation of multimodal embeddings using LAION OpenCLIP model (ViT-L-14-DataComp.XL-s13B-b90K</li> </ol> <p><strong>Code Availability</strong></p> <p>All code used to create this dataset is available in two GitHub repositories:</p> <p>Repository: https://github.com/tpsmi/multimodaliln </p> <ul> <li>Jupyter notebooks for downloading ILN pages</li> <li>YOLOv8 fine-tuning code</li> <li>Illustration extraction pipeline</li> <li>OCR processing scripts</li> <li>Embedding generation code</li> </ul> <p>Repository: https://github.com/tpsmi/ilnmultimodalsearch </p> <ul> <li>Multimodal search implementation</li> <li>Text-to-image and image-to-image retrieval</li> <li>User interface code</li> <li>API endpoints for search functionality</li> </ul> <p><strong>Original Data Source</strong></p> <p>The original page scans are freely available through the Internet Archive's Serials in Microfilm Collection. This dataset builds upon these public domain materials by providing structured metadata and computational annotations.</p> <p><strong>Citation</strong></p> <p>Please cite our dataset paper (will be added) or this dataset (Zenodo DOI)</p> <p><strong>Related Publications</strong></p> <p>[Publication details when available]</p>
Graphic Illustration of our Digital Collections Data and Tracking Disease Workshop Session: Discussion and Synthesis
<p>Karina Branson of <a href="https://www.conversketch.com/" target="_blank" rel="noopener">ConverSketch</a>, graphically recorded and helped to facilitate this Discussion section of our NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Talks in our Digital Collections Data and Tracking Disease Workshop Section: Case Studies
<p>Karina Branson of <a href="https://www.conversketch.com/" target="_blank" rel="noopener">ConverSketch</a>, graphically recorded and helped to facilitate this Case Studies section of our NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Kelly Speer's Keynote Talk: Hosts, parasites, and microbiomes: A system for studying natural complexity in a changing world
<p><a href="https://lib.ku.edu/people/courtney-foat" target="_blank" rel="noopener">Courtney Foat</a>, Advisor for Strategic Initiatives & Organizational Engagement at the University of Kansas, graphically recorded and synthesized the Keynote Talk by Kelly Speer at the Digital Data 2024 Conference in Lawrence, Kansas in May of 2024. We include this resource, with permission, because of its relevance to our NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Workshop Discussion Synthesis: A Public Health Perspective
<p><a href="https://lib.ku.edu/people/courtney-foat" target="_blank" rel="noopener">Courtney Foat</a>, Advisor for Strategic Initiatives & Organizational Engagement at the University of Kansas, graphically recorded and synthesized the key public health themes from our participant discussion session at an NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Litsa Wooten's Talk: Visualizing Mongolian Mammal Specimens and their Parasites Through Time
<p><a href="https://lib.ku.edu/people/courtney-foat" target="_blank" rel="noopener">Courtney Foat</a>, Advisor for Strategic Initiatives & Organizational Engagement at the University of Kansas, graphically recorded this talk by Litsa Wooten at the Digital Data 2024 Conference in Lawrence, Kansas in May of 2024. We include this resource, with permission, because of its relevance to our NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Neal Platt's Talk: Targeted sequencing of pathogen DNA from museum specimens
<p><a href="https://lib.ku.edu/people/courtney-foat" target="_blank" rel="noopener">Courtney Foat</a>, Advisor for Strategic Initiatives & Organizational Engagement at the University of Kansas, graphically recorded this invited talk by Neal Platt at an NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Molly McDonough's Talk: Exploring bat coronaviruses using the FMNH cryo collection
<p><a href="https://lib.ku.edu/people/courtney-foat" target="_blank" rel="noopener">Courtney Foat</a>, Advisor for Strategic Initiatives & Organizational Engagement at the University of Kansas, graphically recorded this invited talk by Molly McDonough at an NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Verity Mathis' Talk: Virome composition in fresh bat guano, frozen and fluid-preserved bat tissues
<p><a href="https://lib.ku.edu/people/courtney-foat" target="_blank" rel="noopener">Courtney Foat</a>, Advisor for Strategic Initiatives & Organizational Engagement at the University of Kansas, graphically recorded this invited talk by Verity Mathis at an NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Kendra Phelp's Talk: A harmonized taxonomic resource is critical for accurately interpreting host-pathogen interactions
<p><a href="https://lib.ku.edu/people/courtney-foat" target="_blank" rel="noopener">Courtney Foat</a>, Advisor for Strategic Initiatives & Organizational Engagement at the University of Kansas, graphically recorded this invited talk by Kendra Phelps at an NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Talks in our Digital Collections Data and Tracking Disease Workshop Section: Museum Perspectives
<p>Karina Branson of <a href="https://www.conversketch.com/" target="_blank" rel="noopener">ConverSketch</a>, graphically recorded and helped to facilitate this Museum Perspectives section of our NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Pirate Illustrations for Research Data Management Training
<p>This collection of icons and comics was created to illustrate a workshop on Data Management Plans (<a href="https://doi.org/10.5281/zenodo.5575920">https://doi.org/10.5281/zenodo.5575920</a>). It is provided here to allow further reuse, for example to illustrate presentations.</p> <p>The theme of this collection is revolving around pirates, their accessories, and maritime items in general.</p> <p>Created by Jeanne Wilbrandt.</p>
Rainbow Boa (Epicrates cenchria) snake brain illustration
<p>3D model of the Rainbow Boa snake brain highlighting the anatomy and the spatial arrangement of its major subdivisions.</p> <p>The brain reconstruction was obtained from a microCT scan of a iodine-stained specimen through manual segmentation using the software Amira 5.5.0.</p> <p>Other illustrations can be found <strong><a href="https://zenodo.org/search?page=1&size=20&q=keywords:%22squamate%20brain%22">here</a></strong>.</p> <p><em>If you are interested in reptile brain evolution and behavior, please, have a look to our recent publication:</em></p> <p><a href="https://www.nature.com/articles/s41467-019-13405-w"><em><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong></em></a></p> <p><strong>Simone Macrì, Yoland Savriama, Imran Khan & Nicolas Di-Poï</strong></p> <p><em>Nature Communications</em> <strong>10, </strong>5560 (2019)</p> <p> </p> <p><em>Check out also our *4K* video collection of various snake and lizard 3D brains:</em></p> <p><strong><a href="https://www.youtube.com/playlist?list=PLgx4vtT32C8hqxG_icKiuXGtZVLVX-oG1">Snake and Lizard brain reconstructions video collection</a></strong></p> <p> </p> <p>For any inquiries or additional information, please, refer to the contacts provided in the <strong><a href="https://www.nature.com/articles/s41467-019-13405-w">article</a></strong>.</p>
Flying Dragon (Draco volans) lizard brain illustration
<p>3D model of the Flying Dragon lizard brain highlighting the anatomy and the spatial arrangement of its major subdivisions.</p> <p>The brain reconstruction was obtained from a microCT scan of a iodine-stained specimen through manual segmentation using the software Amira 5.5.0.</p> <p>Other illustrations can be found <strong><a href="https://zenodo.org/search?page=1&size=20&q=keywords:%22squamate%20brain%22">here</a></strong>.</p> <p><em>If you are interested in reptile brain evolution and behavior, please, have a look to our recent publication:</em></p> <p><a href="https://www.nature.com/articles/s41467-019-13405-w"><em><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong></em></a></p> <p><strong>Simone Macrì, Yoland Savriama, Imran Khan & Nicolas Di-Poï</strong></p> <p><em>Nature Communications</em> <strong>10, </strong>5560 (2019)</p> <p> </p> <p><em>Check out also our *4K* video collection of various snake and lizard 3D brains:</em></p> <p><strong><a href="https://www.youtube.com/playlist?list=PLgx4vtT32C8hqxG_icKiuXGtZVLVX-oG1">Snake and Lizard brain reconstructions video collection</a></strong></p> <p> </p> <p>For any inquiries or additional information, please, refer to the contacts provided in the <strong><a href="https://www.nature.com/articles/s41467-019-13405-w">article</a></strong>.</p>
Fire Skink (Lepidothyris fernandi) lizard brain illustration
<p>3D model of the Fire Skink lizard brain highlighting the anatomy and the spatial arrangement of its major subdivisions.</p> <p>The brain reconstruction was obtained from a microCT scan of a iodine-stained specimen through manual segmentation using the software Amira 5.5.0.</p> <p>Other illustrations can be found <strong><a href="https://zenodo.org/search?page=1&size=20&q=keywords:%22squamate%20brain%22">here</a></strong>.</p> <p>If you are interested in reptile brain evolution and behavior, please, have a look to our recent publication:</p> <p><a href="https://www.nature.com/articles/s41467-019-13405-w"><em><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong></em></a></p> <p><strong>Simone Macrì, Yoland Savriama, Imran Khan & Nicolas Di-Poï</strong></p> <p><em>Nature Communications</em> <strong>10, </strong>5560 (2019)</p> <p> </p> <p><em>Check out also our *4K* video collection of various snake and lizard 3D brains:</em></p> <p><strong><a href="https://www.youtube.com/playlist?list=PLgx4vtT32C8hqxG_icKiuXGtZVLVX-oG1">Snake and Lizard brain reconstructions video collection</a></strong></p> <p> </p> <p>For any inquiries or additional information, please, refer to the contacts provided in the <strong><a href="https://www.nature.com/articles/s41467-019-13405-w">article</a></strong>.</p>
Yellow-Bellied Sea Snake (Hydrophis platurus) brain illustration
<p>3D model of the Yellow-Bellied Sea Snake brain highlighting the anatomy and the spatial arrangement of its major subdivisions.</p> <p>The brain reconstruction was obtained from a microCT scan of a iodine-stained specimen through manual segmentation using the software Amira 5.5.0.</p> <p>Other illustrations can be found <strong><a href="https://zenodo.org/search?page=1&size=20&q=keywords:%22squamate%20brain%22">here</a></strong>.</p> <p><em>If you are interested in reptile brain evolution and behavior, please, have a look to our recent publication:</em></p> <p><a href="https://www.nature.com/articles/s41467-019-13405-w"><em><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong></em></a></p> <p><strong>Simone Macrì, Yoland Savriama, Imran Khan & Nicolas Di-Poï</strong></p> <p><em>Nature Communications</em> <strong>10, </strong>5560 (2019)</p> <p> </p> <p><em>Check out also our *4K* video collection of various snake and lizard 3D brains:</em></p> <p><strong><a href="https://www.youtube.com/playlist?list=PLgx4vtT32C8hqxG_icKiuXGtZVLVX-oG1">Snake and Lizard brain reconstructions video collection</a></strong></p> <p> </p> <p>For any inquiries or additional information, please, refer to the contacts provided in the <strong><a href="https://www.nature.com/articles/s41467-019-13405-w">article</a></strong>.</p>
Two datasets to illustrate quantitative analysis methods for fluorescent calcium measurements
<p>Two datasets in HDF5 formats used for illustrating some quantitative data analysis methods.</p> <p><strong>CCD_calibration.hdf5</strong>: Imago/SensiCam CCD camera (Till Photonics) calibration data set. <br> Fluorescence measurments were made using a fluorescent plastic slide. 10 exposure times from 10 to 100 ms (each making an HDF5 group) were used. For each exposure time 100 exposures were performed (with 200 ms between each). The fluorescence measured in each of the 60 x 80 pixels of the camera are stored in the stack data set of each group. The time data set (a vector) of each group contains the time at which each illumination was done. These recordings were done by Andreas Pippow (Kloppenburg Laboratory Cologne University, http://cecad.uni-koeln.de/Prof-Peter-Kloppenburg.82.0.html). <br> They were used in: Sébastien Joucla, Andreas Pippow, Peter Kloppenburg and Christophe Pouzat (2010) Quantitative estimation of calcium dynamics from ratiometric measurements: A direct, non-ratioing, method. Journal of Neurophysiology 103: 1130-1144.</p> <p><strong>Data_POMC.hdf5</strong>: POMC data set recorded by Andreas Pippow (Kloppenburg Laboratory Cologne University, http://cecad.uni-koeln.de/Prof-Peter-Kloppenburg.82.0.html). 168 measurements performed with a CCD camera recording Fura-2 fluorescence (excitation wavelength: 340 nm). The size of the CCD chip is 60 x 80 pixels. A stimulation (depolarization induced calcium entry) comes at time 527. <br>Details about this data set can be found in: Joucla et al (2013) Estimating background-subtracted fluorescence transients in calcium imaging experiments: A quantitative approach. Cell Calcium. 54 (2): 71-85.</p> <p> </p>
Credit for software creators: An adapted illustration from The Turing Way: Shared under CC-BY 4.0 for reuse
<p>Illustration adapted from <strong>The Turing Way Community, & Scriberia. (2023). Illustrations from The Turing Way: Shared under CC-BY 4.0 for reuse. Zenodo. <a href="https://doi.org/10.5281/zenodo.8169292">https://doi.org/10.5281/zenodo.8169292</a></strong>.</p> <p>The illustration has been adapted by Stephan Druskat (subsumed as co-author in <em>The Turing Way Community</em>):</p> <ul> <li>The speech bubble has been changed to read "More credit" instead of "More credit<strong>s</strong>". (One character removed and alignment adapted.)</li> <li>The inscription on the purse has been changed to read "Credit" instead of "Credit<strong>s</strong>". (One character removed and alignment adapted.)</li> </ul>
Illustrations of a Diels Alder network
<p>This dataset contains three illustrations of a Diels-Alder self-healing polymer, made using Blender.</p> <p>The network is shown in 3 different thermal states. </p>
A private house in 'Marea'/Philoxenite transformed into a monastic institution and other Christian hybrid buildings in the Mareotis region - additional illustrations
<p>Set of three documents on potsherds (ostraca) has been found in Philoxenite (Egypt). All three of the ostraca, M200249 (= Document A), M200250 (= Document B), and M200251 (= Document C) are preserved in their entirety, in the sense that the sherds, meant to serve as the canvas for the documents, were not broken when they were thrown out into the rubbish pit in the piscina.</p> <p>The photos uploaded here provide supplementary material for an article discussing the content of these ostraca. </p> <p> </p>
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.