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773 results for “medieval”
Wollestraat 29, Bruges (BE): high-resolution images of dry wood cores taken form a medieval floor joists, for tree-ring analysis
<ul><li>Dry-wood cores taken from historical timbers of a floor joists in the medieval building 'De Oude Steen', Wollestraat 29, Bruges (Belgium).</li><li><a href="https://id.erfgoed.net/erfgoedobjecten/29956 ">https://id.erfgoed.net/erfgoedobjecten/29956 </a></li><li>The cores were sampled at 22/02/2023 with a dry-wood borer (internal diameter 12 mm, external diameter 19 mm).</li><li>The cores were surfaced with increasingly finer sanding papers, from P60 up to P4000.</li><li>The cores were photograpphed with a Sony alpha7R IV full frame camera and FE 90 mm F/2.8G macro lens.</li><li>The<a href="https://www.wsl.ch/en/services-produkte/skippy/"> Skippy</a> system served as the image capturing platform.</li><li>The individual digital macro-photos were stitched with PTGui into a mosaic image (.tiff).</li><li>The mosaic images have a resolution of ~4 µm.</li></ul>
MALDI MS data and metadata from "A biocodicological analysis of the medieval library and archive from Orval Abbey, Belgium"
<p>See <a href="https://doi.org/10.1098/rsos.210210">Ruffini-Ronzani et al</a>.</p>
Database of Medieval Nubian Identity Markers (version 1.0)
<p>The Database of Medieval Nubian Identity Markers (DBMNIM) has been created in the framework of the project <em>IaM NUBIAN. Identity and Memory in Christian Nubia: A study on strategies of (self-)presentation and preservation of the past in medieval African society.</em></p> <p>The DBMNIM is a relational database which fits into a bigger structure of a database of written sources originating from the Middle Nile Valley in Middle Ages, under continuous development by myself. The basic component of this structure is the Database of Medieval Nubian Texts (DBMNT), available online at <a href="http://www.dbmnt.uw.edu.pl/">www.dbmnt.uw.edu.pl</a>, from which the DBMNIM draws the basic metadata for any given text included in the database.</p> <p>The DBMNIM has a three-level structure, represented by three interconnected tables: “Identity markers”, “IM Variants”, and “IM References”, and contains a variety of data that allow the recognition of identity(-ies) of persons occurring in the sources. For the time being, only textual identity markers are covered in the DBMNIM, but the database is designed to include also non-textual markers (graphic signs and representations, contextual information).</p> <p>The database has been designed in FileMaker Pro 16 and the upload includes the original database file in the .fmp12 format. However, in order to ensure a wide accessibility, the contents of the database has been exported into .xml, .csv, and .xlsx files. For detailed information on the structure and contents of the DBMNIM, see the attached DBMNIM_upload_documentation_1_0.pdf file.</p>
Medieval Metal
<p>Dataset related to an inventorization project of medieval metalwork artefacts excavated in historic towns in Flanders (Belgium). Refer to project page for more information and references: <a href="https://www.projectcest.be/wiki/Publicatie:Middeleeuws_Metaal">https://www.projectcest.be/wiki/Publicatie:Middeleeuws_Metaal</a></p> <p> </p> <p>Het eindverslag werd gepubliceerd als SYNTAR 20: <a href="https://doi.org/10.55465/UNEW5909">https://doi.org/10.55465/UNEW5909</a></p> <p>The final report of the project was published as SYNTAR 20: <a href="https://doi.org/10.55465/UNEW5909">https://doi.org/10.55465/UNEW5909</a></p>
Early Medieval Pottery Marks from Moravia (Czechia)
<p>Published archaeological dataset contains a database (MS Access .mdb database, and .csv exports as an alternative), as well as precise drawings of 636 pottery marks (i.e. embossed imprints on bottoms of ceramic vessels) from the following 9th century Moravian sites:</p> <ul> <li>Brno-Líšeň – Staré Zámky (87 pcs.)</li> <li>Břeclav – Pohansko (162 pcs.)</li> <li>Mikulčice (310 pcs.)</li> <li>Staré Město u Uherského Hradiště – U Víta (49 pcs.)</li> <li>Cemetery of Nechvalín (5 pcs.)</li> <li>Cemetery of Prušánky (23 pcs.)</li> </ul> <p>The dataset was originally created for the purpose of the author's dissertation (Hlavica 2020). It will be also referenced in the upcoming monograph (Hlavica in print). Records contained in the dataset can be used for the comparison with other similarly documented assemblages (for the method of documentation, see Hlavica 2016).</p> <p>The hierarchy of folders including precise drawings (.psd and .pdf formats) is: mark_type -> inner_shape -> outer_shape -> match_variant</p>
Medieval manuscripts and their migrations: Using SPARQL to investigate the research potential of an aggregated Knowledge Graph
<p>This dataset contains the <strong>SPARQL queries</strong> presented and discussed in our article published in <em>Digital Medievalist</em> 2022 (as a PDF file), together with the <strong>results of those queries</strong> as CSV files. The query and step numbering follows that given in the article.</p> <p>The queries can be run against the SPARQL endpoint for the <strong>Mapping Manuscript Migrations</strong> project: <a href="https://ldf.fi/mmm/sparql">https://ldf.fi/mmm/sparql</a></p> <p>The full <strong>Mapping Manuscript Migrations dataset </strong>can also be downloaded from the Zenodo repository and installed in your own triple store: <a href="https://zenodo.org/record/4440464">https://zenodo.org/record/4440464</a></p> <p>When copying and pasting these SPARQL queries into a SPARQL client like <a href="https://yasgui.triply.cc/">YASGUI</a>, please check that the line numbering has been copied over correctly. Copying from a PDF file can sometimes break a single long line into multiple separate lines, which will cause a SPARQL validation error.</p> <p>The CSV files contain the results of the queries when run against the Mapping Manuscript Migrations SPARQL endpoint as of 17 December 2021. Please note that Query 2, Step 2, produces no results, so a CSV file has not been provided.</p> <p>The<strong> Mapping Manuscript Migrations portal </strong>can be found at <a href="https://mappingmanuscriptmigrations.org/en/">https://mappingmanuscriptmigrations.org/en/ </a></p> <p>SPARQL tutorials are included in the project's <strong>GitHub documentation</strong>: <a href="https://mapping-manuscript-migrations.github.io/">https://mapping-manuscript-migrations.github.io/</a></p>
Supplementary Material for "'A Certain Enemy Robbed Me of My Life': Medieval Riddles, Digital Transformations, and Pandemic Pedagogy"
<p>Assignment, games, and illustrations associated with "'A Certain Enemy Robbed Me of My Life': Medieval Riddles, Digital Transformations, and Pandemic Pedagogy"</p>
MPS Data set with images of medieval charters for handwriting-style based dating of manuscripts
<pre>The MPS benchmark data set for handwritten manuscript dating ____________________________________________________________ This data set is collected for the Dutch NWO project: Medieval Paleographical Scale (MPS) by Petros Samara Project website: http://application02.target.rug.nl/monk/Projects/MPS/ Copyright (c) Huygensinstituut, Den Haag, 2016 University of Groningen, 2016. All rights reserved. Organisation of the data: Each .tar.gz file contains a number of NetPBM images. The format is chosen because of its simplicity. Also, there is no doubt about lossy compression in the processing chain. The file names are of the format 'MPS<year>_<seqnr>.ppm', for example, 'MPS1300_0056.ppm'. Note: the files are not in a separate directory, they will be extracted in place. However, due to the unique naming, there is no problem extracting them in one single current (destination) directory. The actual type of the image can be gray scale (.pgm) or color (.ppm), in '8-bit DirectClass' according to ImageMagick's 'identify' tool. The images were cropped out of larger photographs because of irrelevant elements such as a Kodak color calibrator and non-text content such as supporting surface (table) backgrounds, seals (emblems), ribbons, etc. No effort has been made to obtain a balanced set of samples over years: the given frequencies of occurrence in archives are used. There is evidently less data in years before 1375 A.D. while some periods provides us with ample data for historical reasons (e.g, 1450 A.D.). It would have been a pity if the scarce years had determined and limited the size of this data set. Selection criteria for data reduction, whether random or systematic, would have been arbitrary. In any case, these images were used in our publications, such that the performance results of future attempts on manuscript dating can be compared with earlier results. The performances that have been reached using our algorithms are in the order of an MAE (mean average error) of 10 years. If you have any questions, please contact us: Sheng He (heshengxgd@gmail.com) Petros Samara (petros.samara@huygens.knaw.nl) Jan Burgers (jan.burgers@huygens.knaw.nl) Lambert Schomaker (L.Schomaker@ai.rug.nl) Please cite our papers if you use this data set: [1] Sheng He, Petros Samara, Jan Burgers, Lambert Schomaker. Image-based historical manuscript dating using contour and stroke fragments. Pattern Recognition(PR), Vol. 59, pp. 159-171, 2016 [2] Sheng He, Petros Samara, Jan Burgers, Lambert Schomaker. Towards style-based dating of historical documents. International Conference on Frontiers in Handwriting Recognition(ICFHR), Crete, Greece, 2014 [3] Sheng He, Petros Samara, Jan Burgers, Lambert Schomaker. Multiple-Label Guided Clustering Algorithm for Historical Document Dating and Localization IEEE Trans. on Image Processing, Vol. 25(11), Nov. 2016. http://ieeexplore.ieee.org/document/7551181/</pre> <p>Data are collected thanks to Dutch NWO grant project 380-50-006</p>
List of Digital Resources for Medieval Studies in German-speaking Countries
<p>The Middle Ages have been brought into the digital era through the extensive digitisation of medieval source material, transforming the scope and breath of medieval studies. The field has long embraced digital methodologies, with medievalists praised as early adopters since the 1940s. German-speaking countries have brought forward innovative projects ranging from digital editions, interactive maps, to comprehensive databases and computational analysis.</p> <p>The following pages present a curated list of 164 digital resources and repositories for medieval studies that are initiated or located in Germany, Austria, and Switzerland. The list is not comprehensive and ongoing. It was made to aid scholars in navigating the dynamic landscape of digital medieval studies, promoting collaboration and providing insight into the field's development. The selected projects are supportive resources dealing with the Middle Ages (up to 1500) and have a clear research goal. It covers diverse topics like numerology, heraldry, monastic life, and architecture. Most of the listed digital resources are freely accessible.</p> <p>The projects are classified by their <em>digital methods</em>, as described in more detail on a separate page. The <em>descriptors</em> and <em>types</em> used to describe the projects distinctly highlight the interdisciplinary nature of medieval studies in the digital age. This list emphasises the transformative potential of digital resources, offering a starting point for continued exploration and expansion in the evolving landscape of digital medieval studies.</p> <p><br>This repository is created within the sub project <a href="https://www.virtuelle-lebenswelten.de/forschung/wissen" target="_blank" rel="nofollow noreferrer noopener">B02 <em>Virtuelles Mittelalter</em></a>, curated by Juliet Diekkämper with the help of Suzette van Haaren. Sources gathered in 2023-2024.</p>
Archaeological sites in medieval župa Dabar and Rudine in Bosnia and Herzegovina: Archaeological geophysical survey dataset (7 sites)
<p>The raw data from the geophysical survey performed in 7 archaeological sites in modern municipalities Berkovići and Bileća, Bosnia and Herzegovina. Funded by the EU, H2020-MSCA-IF-797881 grant.</p>
The e-NDP project : collaborative digital edition of the Chapter registers of Notre-Dame of Paris (1326-1504). Ground-truth for handwriting text recognition (HTR) on late medieval manuscripts.
<p>The <a href="https://endp.hypotheses.org/">e-NDP project</a>, funded by the ANR, is led by the <a href="https://lamop.hypotheses.org/6870">LaMOP</a> (Julie Claustre and Darwin Smith).</p> <p>The project's partners are the Archives nationales, the Bibliothèque nationale de France (Department of Manuscripts, Bibliothèque de l'Arsenal), the École nationale des chartes and the Bibliothèque Mazarine.</p> <p>The e-NDP project aims at renewing our knowledge on <strong>Notre-Dame de Paris cathedral</strong> through the creation of a collaborative digital edition of the registers of its Chapter (1326-1504, <em>AN LL 105-128</em>), the community of 51 canons meeting three times a week on set days to take all administrative, financial and practical decisions pertaining to the cathedral, its estate and the society living in its cloister. This corpus has never been the object of a comprehensive study to understand the workings and history of this urban enclave and powerful community. The collaborative digital edition is based on a process of<strong> handwriting text recognition (HTR)</strong>, tested and supervised by scholars, researchers and engineers combining expertise in Medieval history, paleography, philology and digital humanities. The edition shall allow a better insight into the Chapter’s administration, into its economical and political power within Paris, and the relationships it maintained with other institutions in the city.</p> <p> </p> <p><strong>Section 1 : The e-NDP ground-truth dataset for Handwriting text recognition.</strong></p> <p>The full e-NDP corpus kept today in the French National Archives and was entirely digitized and described in its <a href="https://www.siv.archives-nationales.culture.gouv.fr/siv/rechercheconsultation/consultation/ir/consultationIR.action?formCaller=GENERALISTE&irId=FRAN_IR_059635">catalog</a> in 2022.</p> <p>The first major goal of the e-NDP projet is to propose a first automatic transcription of the 14k pages composing the 26 chapter registers. To achieve this goal representative samples from each one of the volumes were selected and transcribed in order to train a specialized HTR model able to propose a high quality automatic transcription. The collected ground-truth released on this repository currently has <strong>512 pages from the 26 registers</strong> of the cathedral chapter preserved in the National Archives (LL105 - LL128, <strong>1326-1504</strong>). The transcriptions were manually completed in <strong>two rounds</strong> by a group of 12 contributors, historians and paleographers, over the course of 2021-2022 using <a href="https://escriptorium.paris.inria.fr/">eScriptorium </a>as annotation environment. </p> <p> </p> <p><strong>Ground-truth features :</strong></p> <p><br> <em>Number of hands </em>: according to our estimates no fewer than 18 main hands were involved in the writing of the registers during the medieval period. </p> <p><em>Language</em> : More than 98% of the content of the registers was written in Latin, the rest in French. The exact percentage is hard to estimate because the vernacular language is often used in formulae, notes and comments. It is rare to find entire pages or blocks written in French. </p> <p><em>Script family</em> : The registers were written using a Cursive script (ca. late XIIIe - XVIe).</p> <p><em>Documental typology</em> : The volumes containing the chapter conclusions were conceived to serve as memorial records, but above all as documents for regular use and consultation in the daily practice of administration and management. In diplomatics the notion of "documentary manuscripts" is used to describe this kind of sources also by opposition to books and litterary or normative manuscripts.</p> <table align="center"> <caption><strong>Ground truth statistics</strong></caption> <tbody> <tr> <th>Text units</th> <th>Count</th> </tr> <tr> <td>Pages</td> <td>512</td> </tr> <tr> <td>Annotated regions (see section 2)</td> <td>2448</td> </tr> <tr> <td>Lines of text</td> <td>34231</td> </tr> <tr> <td>Tokens</td> <td>205083</td> </tr> <tr> <td>Characters</td> <td>3320407</td> </tr> </tbody> </table> <p> </p> <p><strong>Rules of transcription :</strong></p> <ul> <li>The abbreviations have been resolved, both those by suspension (<code>facimꝰ</code> ---> <code>facimus</code>) and by contraction (<code>dñi</code> --> <code>domini</code>). Likewise, those using conventional signs (<code>⁊</code> --> <code>et</code> ; <code>ꝓ</code> --> <code>pro</code>) have been resolved. </li> <li>The named entities (names of persons, places and institutions) have been <code>capitalized</code>. The beginning of a block of text as well as the original capitals used by the notary are also capitalized.</li> <li>The consonantal <code>i</code> and <code>u</code> characters have been transcribed as <code>j</code> and <code>v</code> in both French and Latin.</li> <li>The punctuation marks used in the text: <code>.</code> and <code>/</code> have been transcribed, but the transcription has not been standardized with modern punctuation.</li> <li>Corrections and words that appear cancelled in the manuscript have been transcribed surrounded by the sign <code>$</code> at the beginning and at the end.</li> <li>More specific transcription rules can be found into the file <code>transcription_guidelines.pdf</code></li> </ul> <p> </p> <p><strong>Section 2. e-NDP Layout Segmentation.</strong></p> <p>Layout segmentation is a compulsory step before HTR recognition in order to distinguish sections and regions inside a document. This process intend to separate interdependant page zones to produce a recognition in a section-sequence order and not in a line-sequence order which mix textual and peri-textual content.</p> <p>The regions of 364 pages (see <code>GT-layout_list</code>) of the e-NDP corpus were annotated using a 5 sections vocabulary (see <code>endp_layout_regions</code>) in order to describe the page distribution in all the 26 volumes :</p> <ol> <li><em>Block</em> : All the central text blocks, that normally corresponds to the main content called "conclusions" in registers.</li> <li><em>Liste</em> : List of names of the canons who were present during the meeting. Normally located before the <em>conclusions</em>.</li> <li><em>Entrée</em> : Marginal notes or entries to inform about the content of <em>conclusions</em>.</li> <li><em>Date</em> : Paragraph contending the date. Normally at the head of a <em>conclusion</em>, but separate of the main body.</li> <li><em>Numérotation</em> : Page numbers in roman or arabic. Usually appear in the top corners of the pages.</li> </ol> <table align="center"> <caption><strong>Layout GT statistics</strong></caption> <tbody> <tr> <th>Region</th> <th>Count</th> </tr> <tr> <td>block</td> <td>833</td> </tr> <tr> <td>liste</td> <td>431</td> </tr> <tr> <td>date</td> <td>448</td> </tr> <tr> <td>entrée</td> <td>205</td> </tr> <tr> <td>numérotation</td> <td>531</td> </tr> </tbody> </table> <p> </p> <p><strong>Section 3. The e-NDP HTR modeling.</strong></p> <p>The e-NDP project has progressively trained several HTR models adapted to work on late medieval cursive in order to accelerate the production of ground truth. Currently the best model delivers an average <strong>CER (Character error ratio) of 9.7%</strong> in handwriting recognition on the 26 registers (see <code>endp_learning_curve</code>) and can serve as generalist model for other manuscripts of the same period and similar script family. These models and their training implementation details can be found in the project's github <a href="https://github.com/chartes/e-NDP_HTR">repository</a>. </p> <p>Additionally, the automatic HTR transcriptions of the 26 registers (14k pages, 4.5M tokens) enriched with lexical and semantical information has been the subject of a first <a href="https://nosketch-engine.lamop.fr/#dashboard?corpname=endp">online publication</a> using the NoSketch engine that allows advanced data mining based on the combination of data, metadata and NLP features. </p> <p> </p> <p><strong>Section 4. Dataset content.</strong></p> <p>This zip dataset contains :</p> <p>- <code>HTR_ground_truth</code> : Two folders containing the jpg / jpeg images and their curated transcriptions in PAGE XML format.</p> <p>- <code>images_docs</code> : 4 files illustrating the different phases of the project (list of GT for layout segmentation, layout ontologie, transcription guideline and HTR evaluation curves)</p>
Comparison of occlusal dental wear and degenerative alterations of the temporomandibular joint in two medieval populations from central Europe
<p>This repository contains the radiographs of the mandibular condyles published in the paper titled "Comparison of dental status parameters and degenerative alterations of the temporomandibular joint in central European medieval skeletal finds". The radiographs were obtained with a portable X-ray unit (Kavo Nomad-Pro).</p> <p>Selected CT reconstructions of the condyles are available for a sub-group of individuals.</p> <p>Files naming convention:</p> <p>- Files name start with the burial number (ex. B10; Z98);</p> <p>- R and L stand for "right" and "left";</p> <p>- AP: anteroposterior view; LM: lateromedial view.</p>
Samasgarh, Bhopal district, Madhya Pradesh. Medieval stone dam
<p>Medieval dam near Samasgarh, Bhopal district, Madhya Pradesh (23°07'48.8"N 77°19'30.8"E). Located between a low ridge and a seasonal rivulet, the dam measures approximately 300 m. in length and 3.5 m. in height. It has an earthen core faced by large stone blocks measuring up to 1 m. long and 0.45 m. wide.</p>
FIG. 15 in Food worthy of kings and saints: fish consumption in the medieval monastery Studenica (Serbia)
FIG. 15. — Sturgeon fishing at the exit of the Danube Gorges, cover of the fourth volume (De Piscibus in Aquis Danubii Viventibus) of L. F. Marsigli's Danubius Pannonico-Mysicus (Marsigli 1726).
FIG. 6 in Food worthy of kings and saints: fish consumption in the medieval monastery Studenica (Serbia)
FIG. 6. — The distribution of mammal, bird and fish remains from medieval contexts at Studenica Monastery (after Marković 2015: 396, fig. 1).
FIG. 4. — Fishing with net from a in Food worthy of kings and saints: fish consumption in the medieval monastery Studenica (Serbia)
FIG. 4. — Fishing with net from a boat, detail of the 13th century fresco from Mileševa Monastery (courtesy of the BLAGO Fund).
FIG. 3 in Food worthy of kings and saints: fish consumption in the medieval monastery Studenica (Serbia)
FIG. 3. — Representation of various fish species, detail of the 14th century fresco from Gračanica Monastery (courtesy of the BLAGO Fund).
Tooth enamel proteome of Early Medieval non-adult individuals
<p>This dataset includes .raw LC-MS/MS files, from a proteomic study of deciduous and permanent tooth enamel samples. It includes data of 30 different non-adult individuals (Early Middle Ages, Valdaro, Italy), whose sex has been estimated through amelogenin peptides. This dataset is linked to a submitted publication (Lugli et al., <em>Journal of Archaeological Science: Reports</em>). <br> Please, refer to Lugli et al. (2019, <em>Scientific Reports</em>; doi: 10.1038/s41598-019-49562-7) for methodology. </p>
Measurements of 406 medieval and post-medieval houses in the southern Mani Peninsula, Greece
<p>Data from field recording of domestic house architecture in the southern region of the Mani Peninsula, Greece. Measurements were collected for 406 houses dating to the Middle Byzantine to Ottoman periods (8th to 17th centuries AD), allowing for a better understanding of typical characteristics of the so-called "palaiomaniatika" (or "Old Maniat") architecture that dates to these periods. Additionally, total house counts were obtained for 32 settlements that were able to be mapped in their entirety, providing insight into the typical size of these settlements. A paper interpreting these data, 'The Stone-Built Palaiomaniatika of the Mani Peninsula, Greece,' will be published in the volume <em>Deserted Villages: Perspectives from the Eastern Mediterranean</em>, edited by Rebecca M. Seifried and Deborah Brown Stewart, Digital Press at the University of North Dakota, Grand Forks (forthcoming, 2021). The paper will be linked here after publication.</p> <p>Dr. Seifried collected the data as part of a PhD dissertation completed in 2016 through the Department of Anthropology at the University of Illinois at Chicago, entitled 'Community Organization and Imperial Expansion in a Rural Landscape: The Mani Peninsula, Greece (AD 1000-1821)' (<a href="http://hdl.handle.net/10027/21274">https://hdl.handle.net/10027/21274</a>). Fieldwork was conducted in 2014 and 2016 under the auspices of the 5th Ephorate of Byzantine Antiquities in Sparta and in collaboration with the Diros Project, an archaeological survey and excavation co-directed by Dr. Giorgos Papathanassopoulos and Dr. Anastasia Papathanasiou through the Ephorate of Palaeoanthropology & Speleology of Southern Greece. </p> <p>This research was funded by the National Science Foundation (BCS-1346694), the Marie Sklodowska-Curie Actions (H2020-MSCA-IF-2016 750843), the DigitalGlobe Foundation, the National Cadastre and Mapping Agency, SA (Ktimatologio), ArchaeoLandscapes Europe, the University of Illinois at Chicago.</p>
Nicosia, Cyprus. Notre Dame de Tyre, more recently the Armenian Church, medieval tomb slab.
<p>Notre Dame de Tyre, more recently the Armenian Church, medieval tomb slab, photograph taken 1973; digitised 2017.</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.