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354 results for “heritage”
Coptic Monastic Heritage Archive (CMHA): Photographic Dataset of Monastic Settlement in Wadi Naqqat, Egypt
<p>This dataset was created as part of the Coptic Monastic Heritage Archive (CMHA) at the University of Ljubljana. It includes data and photographs of 14 monastic heritage sites in Wadi Naqqat (Eastern Desert, Egypt). Wadi Naqqat is located approximately 35 miles (55 km) west of the Red Sea town of Hurghada, in the broader region of ancient Mons Porphyrites, and dates to between the 4th and 6th centuries AD.</p> <p>The data was gathered through ground assessments conducted between 2018 and 2019 as part of the project “Endangered Hermitages: Documenting Coptic Monastic Heritage in Middle Egypt and the Eastern Desert”, led by Dr. Jan Ciglenečki (University of Ljubljana) and funded by the Antiquities Endowment Fund (AEF) of the American Research Center in Egypt (ARCE). Photographic documentation of the site was carried out by photographer Matjaž Kačičnik, using a 36-megapixel Nikon D810 digital camera, and by Dr. Jan Ciglenečki, using a 21-megapixel Canon EOS 5D Mark II digital camera. In 2024, this documentation was systematically integrated into the CMHA at the University of Ljubljana.</p> <p><span>The photographs include EXIF (GPS location, technical specs) and IPTC-IIM (e.g., Credits, Caption) and XMP metadata.</span></p>
Participatory activities good practices in the field of cultural heritage (REACH project)
<p>The REACH repository of good practices comprises over a hundred and twenty records of European and extra European participatory activities in the field of cultural heritage, with an emphasis on small-scale, localised examples, but including also larger collaborative projects and global or distributed online initiatives. Located in over twenty different countries, the activities showcased here cover a wide variety of topics and themes, from urban, rural and institutional heritage to indigenous and minority heritage; from preservation, and management to use and re-use of cultural heritage. This easy-to-use collection of good practices offers professionals, practitioners, researchers and citizens useful information about activities which could be transferred, adapted or replicated in new contexts.</p>
Heritage Site Database Limpopo National Park
<p>Accompanying datafile with list of sites, chronological period, and assessment as explained in the following papers:</p> <p>An assessment system for archaeological sites, the example of Limpopo Valley (in review)</p> <p>Anneli Ekblom, Solange Macamo, Peter Bechtel, Frederico Regala, Susana Carvalho, Mussa Raja, Michel Notelid (2024) A Framework for Cultural Heritage Management in National Parks, Mozambique. Bull. Mus. Anthropol. préhist. Monaco, n° 63. </p> <p> </p>
Cultural heritage adaptive reuse in Salerno: challenges and solutions. Dataset
<p>Dataset analysed in Pintossi, N., Ikiz Kaya, D., Pereira Roders, A. (2023). Cultural heritage adaptive reuse in Salerno: Challenges and solutions. City, Culture and Society, 100505. https://doi.org/10.1016/j.ccs.2023.100505</p> <ul> <li>Date of data collection: 27/11/2018</li> <li>Geographic location of data collection: Salerno, Italy. The venue of the data collection is <em>Salone dei marmi, Palazzo di Città</em>, via Roma, 84121 Salerno, Italy </li> <li>Activity of data collection: Historic Urban Landscape workshop 2 - Salerno. Held in Salerno, Italy, on 26-27/11/2018</li> <li>Aim of data collection: Multi-scale, participatory identification of challenges entailed in the adaptive reuse of cultural heritage and solutions </li> <li>Methods for collection/generation of data: see the methodology section in Pintossi, N., Ikiz Kaya, D., Pereira Roders, A. (2023). Cultural heritage adaptive reuse in Salerno: Challenges and solutions. City, Culture and Society, 100505. https://doi.org/10.1016/j.ccs.2023.100505</li> <li>Researchers facilitating roundtable discussion and writing down paper version of data: Marco Acri, Gaia Daldanise, Gamze Dane, Cristina Garzillo, Antonia Gravagnuolo, Lu Lu, Nadia Pintossi, and Ruba Saleh</li> <li>Researcher translating to English, transcribing data in the digital tabular dataset, and cleaning the data: Nadia Pintossi</li> <li>Original language of the data: English, Italian, and mix of English and Italian</li> </ul>
Hyperspectral Imaging dataset for use in Heritage Science
<p>The following data sets were collected to support the potential uses of opensource data in the context of digital humanities and heritage sciences. </p> <p>This proposed experiment is conducted by the UCL Institute for Sustainable Heritage in collaboration with the Centre for Digital Humanities. Imaging methods including Photography, Multispectral Imaging, Hyperspectral Imaging and Xray Fluorescence Mapping have been collected along with the complete readout metadata of the instrumentation. </p> <p>We hope that you find the data helpful, and we welcome you to use the data in any way you wish, for all and any analysis development purposes. For us to build upon this research, we ask that in return you would be willing to share in some regard your experiences in using open-source data, using our data, successes and issues. </p> <p>If you would be willing to engage with us in this endeavor, please feel free to contact us so that we may be able to follow up with you. </p> <p>Other Data sets available <a href="https://zenodo.org/record/7319696#.Y3NuOXbP2Uk">Here</a></p> <p> </p> <p>E: <a href="mailto:molly.fort.21@ucl.ac.uk">molly.fort.21@ucl.ac.uk</a> </p> <p>Object Paradata; </p> <ul> <li><strong>Postcard – c. Early 1900's </strong></li> <li><strong>Language – Eng. </strong></li> <li><strong>Materials – colour print on card, metallic leafing. </strong></li> <li><strong>Front transcription - </strong></li> <li><strong> ‘Greetings’ </strong></li> <li><strong> ‘May your Birthday bring you Peace & perfect Happiness, Golden hopes & Love of Friends, And every Happiness this world can send.’ </strong></li> <li><strong>Object Dimensions – 138mm X 88mm </strong></li> </ul> <p>The postcard is an item of ephemera donated to the UCLDH Digitisation Suite by Prof Melissa Terras, for teaching and training purposes in 2015.</p> <p>This folder contains:</p> <p>Hyperspectral Image data collected using a <a href="https://www.clydehsi.com/hyperspectral-cameras">ClydeHSI VNIR-HR+ Hyperspectral Imaging System</a>.</p> <p>Images captured : 477x484 pixel, 304 spectral band images, 4*4 pixel binning</p> <ul> <li>*.hdr - Header file read out from the ClydeHSI systems instructions for reading the subsequent .raw spectral database. </li> <li>*.raw - Hyperspectral image data cube information. Combination with hdr file creates a ENVI file format, this can be read into a variety of image analysis software packages. </li> <li>postcardhsi.ini - Metadata collected and read out from ClydeHSI system.</li> <li>Dark/White.corr - Correction files taken from camera for processing and minimalising system noise and illumination variences.</li> <li>*_refl.* - Pre - Corrected hyperspectral image data, using provided ClydeHSI software.</li> <li>Truecolour RGB reference image </li> </ul> <p>Each raw and header file set makes-up a single data set in ENVI file format. </p> <p>ENVI reading support exists in Python, R, Matlab, and other common image analysis packages.</p>
Ports, Past and Present Heritage Stories (perma.cc link tabular data)
<p>A list of 281 heritage stories from the Ports, Past and Present project written in Omeka Classic using Curatescape. This tabular data is a modified output from the <a href="https://perma.cc/">perma.cc</a> folder containing a series of WARC records captured during the archiving phase of the project.</p> <p>This CSV contains only the original urls, titles, and perma.cc links of the stories. For more information including author, metadata and date of snapshot, see the WARC record and the perma.cc header above it by clicking on permalinks.</p>
Sistan: part 1. Heritage Places
<h3>Deposit of Heritage Places from the Sistan region (Iran, Afghanistan) maintained within the EAMENA database.</h3> <p>This dataset is an exported subset of the Endangered Archaeology in the Middle East and North Africa (EAMENA) database. It includes archaeological and cultural heritage places, such as ancient settlements, historical structures, traditional villages, and irrigation systemswithin the central areas of the historical landscape of Sistan (سیستان), located in eastern Iran and southwestern Afghanistan. The data was gathered by the visual inspection of 16,875 km2 of open-access satellite imagery accessible on Google Earth covering the period from 2001 to 2022, utilising the EAMENA methodology for archaeological and condition assessment. It is stored in the EAMENA web-based open-access database, hosted by the University of Oxford. The primary objective of compiling this dataset is to evaluate the impact of recent climate and environmental changes, as well as other disturbance factors, such as agriculture, building and development, and infrastructure, on the cultural heritage places of this historical region.</p> <p>---</p> <p>The two repositories (Heritage Places and <a href="../records/10376132">Grid Squares</a>) both pertain to Part 1 of the Sistan survey. This dataset primarily focuses on the central areas of Sistan, but it can be expanded through future surveys to include the eastern parts of Sistan in Afghanistan and additional undocumented areas in Iran.</p>
Cartolabe Software Heritage
<p>The Software Heritage dataset shows projects that are collected by the <a href="https://www.softwareheritage.org/">Software Heritage</a> archive initiative. Text data for each software comes from the project's description on github.</p>
SILKNOW Multimodal Cultural Heritage Dataset
<p>SILKNOW Multimodal Cultural Heritage Dataset. Includes text descriptions, images, labels, and predictions made by individual modality classifiers.</p> <p>The data resulted from an export of the SILKNOW Knowledge Graph. See: <a href="https://zenodo.org/record/5743090">https://zenodo.org/record/5743090</a></p> <p>Repository with code using this dataset available at: <a href="https://github.com/silknow/multimodal_cultural_heritage">https://github.com/silknow/multimodal_cultural_heritage</a></p>
Sutra to DNA : An interdisciplinary approach to cultural heritage preservation
<p>Materials pertaining to the project Sutra2DNA. We have chosen the Diamond Sūtra as the first Buddhist text to be encoded in DNA. The DNA is encased in metal capsule, which in turn are housed in specially designed, 3D printed miniature stūpas.</p> <p>A QR code with the DOI of this archive will be printed on the miniature stūpas. Interested finders who have arrived here because of the QR code should first read the final report of the project.</p> <p>The upload contains the following files:</p> <p>* Sutra2DNA_finalReport.odt<br> Explains the project and outcome.</p> <p>* diamondSutraT235_textOnly.txt<br> The Chinese text of the Diamond Sūtra as provided to the encoder.</p> <p>* Twist-Decoding Instructions-DS14.pdf<br> Contains some of the decoding options available in 2022.</p> <p>* twist_bioscience_codec_v2_external.tar.gz<br> Docker file with the decoder for the DNA sequence as provided by TwistBioscience. </p> <p>* miniatureStupa_STLfiles/*.stl<br> Three files to 3D print the three parts of the miniature stūpa that houses the capsule with the DNA.</p> <p>* dna-fountain-master.zip<br> Justin Brody's porting of Erlich's fountain code algorithm (2017) to Python 3. (2022-06 code from https://github.com/jdbrody/dna-fountain)</p>
Audio proceedings from CONFLICT: Collections, Archives and Heritage symposium
<p>The <em>CONFLICT: Archives, Collections and Heritage</em> workshop (in-person and online) explores the topic of cultural heritage, archives and museum collections in conflict and post-conflict times. Starting with Cambodia’s art history and archaeology, discussions will expand to a global perspective. It is organised by Magali An Berthon from the Center for Textile Research at the University of Copenhagen on 25 March 2024, in conjunction with the exhibition “The Art of Ikat: A Cambodian Renaissance” which opens on 22 February 2024, at the Royal University Library, University of Copenhagen South Campus. Linda Sok and Sophea Oum, two of the artists featured in the exhibition, will be in attendance.</p> <p>How does conflict affect the recovery, preservation and conservation of museum collections and archives? Does it also affect the meaning and significance of such collections, whether they survived or were lost? Facing disappearance and destruction how do artists and artisans offer invaluable responses toward restoration and healing? These are some of the key questions animating this day of discussion centred on innovative research approaches.</p> <p>This event was supported by the Carlsberg Foundation and the David Fond og Samling.</p>
Heritage Dataset around TAPI Pipeline, Afghanistan by EAMENA/ICONEM- Pilot Phase
This dataset contains 433 heritage sites documented by EAMENA and ICONEM along over 338 km of the TAPI (Turkmenistan-Afghanistan-Pakistan-India) gas pipeline project in Kandahar and Helmand provinces, Afghanistan, using remote sensing techniques.
Heritage Sites in Bani Walid, Libya
<p>A dataset of 211 heritage sites in and around the city of Bani Walid, Libya used for the EAMENA Machine Learning Automated Change Detection Case Study.</p>
The Software Heritage Graph Dataset
<p>Software Heritage is the largest existing public archive of software source<br> code and accompanying development history: it currently spans more than five<br> billion unique source code files and one billion unique commits, coming from<br> more than 80 million software projects.</p> <p>This is the Software Heritage graph dataset: a fully-deduplicated<br> Merkle DAG representation of the Software Heritage archive. The dataset links<br> together file content identifiers, source code directories, Version Control<br> System (VCS) commits tracking evolution over time, up to the full states of VCS<br> repositories as observed by Software Heritage during periodic crawls. The<br> dataset’s contents come from major development forges (including GitHub and<br> GitLab), FOSS distributions (e.g., Debian), and language-specific package<br> managers (e.g., PyPI). Crawling information is also included, providing<br> timestamps about when and where all archived source code artifacts have been<br> observed in the wild.</p> <p>The Software Heritage graph dataset is available in multiple formats, including<br> downloadable CSV dumps and Apache Parquet files for local use, as well as a<br> public instance on Amazon Athena interactive query service for ready-to-use<br> powerful analytical processing.</p> <p>By accessing the dataset, you agree with the Software Heritage <a href="https://www.softwareheritage.org/legal/users-ethical-charter/">Ethical Charter<br> for using the archive data</a>, and the <a href="https://www.softwareheritage.org/legal/bulk-access-terms-of-use/">terms of use for bulk access</a>.</p> <p>If you use this dataset for research purposes, please cite the following paper:</p> <ul> <li>Antoine Pietri, Diomidis Spinellis, Stefano Zacchiroli. <br> <em>The Software Heritage Graph Dataset: Public software development under one roof</em>. <br> In proceedings of <a href="http://2019.msrconf.org/">MSR 2019</a>: The 16th International Conference on Mining Software Repositories, May 2019, Montreal, Canada. Co-located with <a href="https://2019.icse-conferences.org/">ICSE 2019</a>. <br> <a href="https://upsilon.cc/~zack/research/publications/msr-2019-swh.pdf">preprint</a>, <a href="https://upsilon.cc/~zack/research/publications/msr-2019-swh.bib">bibtex</a></li> </ul> <p>You can also refer to the above paper for more information the dataset and sample queries.</p>
Image Data sets for use in Heritage Science
<p>The following data sets were collected to support the potential uses of opensource data in the context of digital humanities and heritage sciences. </p> <p><a href="https://doi.org/10.5281/zenodo.7292917">Photographs</a> </p> <p><a href="https://doi.org/10.5281/zenodo.7292961">X-Ray Fluorescence</a> </p> <p><a href="https://doi.org/10.5281/zenodo.7322908">Hyperspectral Imaging</a> </p> <p><a href="https://doi.org/10.5281/zenodo.7292714">Multispectral Imaging</a></p> <p> </p> <p>This proposed experiment is conducted by the UCL Institute for Sustainable Heritage in collaboration with the Centre for Digital Humanities. Imaging methods including Photography, Multispectral Imaging, Hyperspectral Imaging and Xray Fluorescence Mapping have been collected along with the complete readout metadata of the instrumentation.</p> <p>We have collected this as an example of typical, unprocessed imaging datasets that would be found in standard image conditions. This data is not optimized, nor do we claim it to be perfect quality, our aim is to provide users with access to a range of imaging data sets. We have included the data with minimum processing, as it is read straight from our systems, with the accompanying metadata provided from capture alone.</p> <p>We hope that you find the data helpful, and we welcome you to use the data in any way you wish, for all and any analysis development purposes. For us to build upon this research, we ask that in return you would be willing to share in some regard your experiences in using open-source data, using our data, successes and issues. </p> <p>If you would be willing to engage with us in this endeavor, please feel free to contact us so that we may be able to follow up with you. </p> <p>E: <a href="mailto:molly.fort.21@ucl.ac.uk">molly.fort.21@ucl.ac.uk</a> </p> <p>Object Paradata; </p> <ul> <li><strong>Postcard – c. Early 1900's </strong></li> <li><strong>Language – Eng. </strong></li> <li><strong>Materials – colour print on card, metallic leafing. </strong></li> <li><strong>Front transcription - </strong></li> <li><strong> ‘Greetings’ </strong></li> <li><strong> ‘May your Birthday bring you Peace & perfect Happiness, Golden hopes & Love of Friends, And every Happiness this world can send.’ </strong></li> <li><strong>Object Dimensions – 138mm X 88mm </strong></li> </ul> <p>The postcard is an item of ephemera donated to the UCLDH Digitisation Suite by Prof Melissa Terras, for teaching and training purposes in 2015.</p>
Multispectral Spectral Imaging dataset for use in Heritage Science
<p>The following data sets were collected to support the potential uses of opensource data in the context of digital humanities and heritage sciences. </p> <p>This proposed experiment is conducted by the UCL Institute for Sustainable Heritage in collaboration with the Centre for Digital Humanities. Imaging methods including Photography, Multispectral Imaging, Hyperspectral Imaging and Xray Fluorescence Mapping have been collected along with the complete readout metadata of the instrumentation. </p> <p>We hope that you find the data helpful, and we welcome you to use the data in any way you wish, for all and any analysis development purposes. For us to build upon this research, we ask that in return you would be willing to share in some regard your experiences in using open-source data, using our data, successes and issues. </p> <p>If you would be willing to engage with us in this endeavor, please feel free to contact us so that we may be able to follow up with you. </p> <p>Other Data sets available <a href="https://zenodo.org/record/7319696#.Y3NuOXbP2Uk">Here</a></p> <p>E: <a href="mailto:molly.fort.21@ucl.ac.uk">molly.fort.21@ucl.ac.uk</a> </p> <p>Object Paradata; </p> <ul> <li><strong>Postcard – c. Early 1900's </strong></li> <li><strong>Language – Eng. </strong></li> <li><strong>Materials – colour print on card, metallic leafing. </strong></li> <li><strong>Front transcription - </strong></li> <li><strong> ‘Greetings’ </strong></li> <li><strong> ‘May your Birthday bring you Peace & perfect Happiness, Golden hopes & Love of Friends, And every Happiness this world can send.’ </strong></li> <li><strong>Object Dimensions – 138mm X 88mm </strong></li> </ul> <p>The postcard is an item of ephemera donated to the UCLDH Digitisation Suite by Prof Melissa Terras, for teaching and training purposes in 2015.</p> <p>This folder contains:</p> <ul> <li>Images captured using a <a href="https://photography.phaseone.com/xf-camera-system/">PhaseOne XF Multispectral Camera System.</a> <ul> <li>Image filenames are arranged as postacards_postcardmsi-<strong>Postcard</strong>- <strong>(Wavelength No.)(Filter)</strong>_*sequence order number*_R.tif where wavelength number is the nominal central illumination wavelength in nm (365, 385, 410, 420, 450, 480, 510, 550, 600, 630, 640, 660, 740, 850, 940), Filter is the colour of the long-pass filter (N - no filter, I - Infrared filter, G - Green filter, R - Red filter) and sequence order number is a count from 0001 denoting the order in which the image was acquired)</li> <li>Complementary flats for each of the object images, used typically to process even illumination distribution, captured of white, flat, smooth, non-chemically processed imaging standard flat paper with the same naming convention as above. </li> </ul> </li> <li>postcard_postcardmsi-Postcard.json - Metadata read out collected from MS camera system</li> <li>Truecolour RGB reference image</li> </ul>
Imaging dataset for use in Heritage Science
<p>The following data sets were collected to support the potential uses of opensource data in the context of digital humanities and heritage sciences. </p> <p>This proposed experiment is conducted by the UCL Institute for Sustainable Heritage in collaboration with the Centre for Digital Humanities. Imaging methods including Photography, Multispectral Imaging, Hyperspectral Imaging and Xray Fluorescence Mapping have been collected along with the complete readout metadata of the instrumentation. </p> <p>We hope that you find the data helpful, and we welcome you to use the data in any way you wish, for all and any analysis development purposes. For us to build upon this research, we ask that in return you would be willing to share in some regard your experiences in using open-source data, using our data, successes and issues. </p> <p>If you would be willing to engage with us in this endeavor, please feel free to contact us so that we may be able to follow up with you. </p> <p>Other Data sets available <a href="https://zenodo.org/record/7319696#.Y3NuOXbP2Uk">Here</a></p> <p>E: <a href="mailto:molly.fort.21@ucl.ac.uk">molly.fort.21@ucl.ac.uk</a> </p> <p>Object Paradata; </p> <ul> <li><strong>Postcard – c. Early 1900's </strong></li> <li><strong>Language – Eng. </strong></li> <li><strong>Materials – colour print on card, metallic leafing. </strong></li> <li><strong>Front transcription - </strong></li> <li><strong> ‘Greetings’ </strong></li> <li><strong> ‘May your Birthday bring you Peace & perfect Happiness, Golden hopes & Love of Friends, And every Happiness this world can send.’ </strong></li> <li><strong>Object Dimensions – 138mm X 88mm </strong></li> </ul> <p>The postcard is an item of ephemera donated to the UCLDH Digitisation Suite by Prof Melissa Terras, for teaching and training purposes in 2015.</p> <p>This folder contains:</p> <ul> <li>Photographs at various conditions</li> <li>Flats at matching conditions</li> <li>Metadata stored within image file</li> </ul> <p>Reading file names: </p> <p>(Flat or postcard)<strong>-exp</strong>(exposure value). format</p> <p>*.Jpg - compressed JPEG readout, saved straight from camera</p> <p>*.tiff - non-compressed TIFF readout- saved straight from camera</p> <p>Exposure values (time {sec}): 1/<strong>30</strong>, 1/<strong>60</strong>, 1/<strong>125</strong>, 1/<strong>200</strong>, 1/<strong>400</strong></p>
X-ray Fluorescence Mapping dataset for use in Heritage Science
<p>The following data sets were collected to support the potential uses of opensource data in the context of digital humanities and heritage sciences. </p> <p>This proposed experiment is conducted by the UCL Institute for Sustainable Heritage in collaboration with the Centre for Digital Humanities. Imaging methods including Photography, Multispectral Imaging, Hyperspectral Imaging and Xray Fluorescence Mapping have been collected along with the complete readout metadata of the instrumentation. </p> <p>We hope that you find the data helpful, and we welcome you to use the data in any way you wish, for all and any analysis development purposes. For us to build upon this research, we ask that in return you would be willing to share in some regard your experiences in using open-source data, using our data, successes and issues. </p> <p>If you would be willing to engage with us in this endeavor, please feel free to contact us so that we may be able to follow up with you. </p> <p>Other Data sets available <a href="https://zenodo.org/record/7319696#.Y3NuOXbP2Uk">Here</a></p> <p>E: <a href="mailto:molly.fort.21@ucl.ac.uk">molly.fort.21@ucl.ac.uk</a> </p> <p>Object Paradata; </p> <ul> <li><strong>Postcard – c. Early 1900's </strong></li> <li><strong>Language – Eng. </strong></li> <li><strong>Materials – colour print on card, metallic leafing. </strong></li> <li><strong>Front transcription - </strong></li> <li><strong> ‘Greetings’ </strong></li> <li><strong> ‘May your Birthday bring you Peace & perfect Happiness, Golden hopes & Love of Friends, And every Happiness this world can send.’ </strong></li> <li><strong>Object Dimensions – 138mm X 88mm</strong></li> </ul> <p>The postcard is an item of ephemera donated to the UCLDH Digitisation Suite by Prof Melissa Terras, for teaching and training purposes in 2015.</p> <p>This folder contains:</p> <p>X-ray fluorescence imaging map collected from a <a href="https://www.bruker.com/en/products-and-solutions/elemental-analyzers/micro-xrf-spectrometers/m4-tornado-plus.html">Bruker M4+ Tornado Micro-XRF System</a></p> <ul> <li>Postcardmap1.bcf - Bruker composite file containing full fluorescence spectral and mapping data with some other information. Can be read by Bruker software or using freely dowloadable <a href="https://hyperspy.org/">Hyperspy</a>.</li> <li>EDX.hdf5 - full fluorescence spectral and mapping data in open format, created and readable via. Hyperspy.</li> <li>Postcard_data.txt - metadata saved in ASCII format by Bruker system.</li> <li>postcardmap1_*.png - individual png images of mapped elements, listed in filename. </li> </ul> <p> </p>
Data for "The Heritage Digital Twin: a bicycle made for two."
<p>The file contains the data used in the case studies of the paper "The Heritage Digital Twin: a bicycle made for two. The integration of digital methodologies into cultural heritage research" published on ORE.</p>
Datasets generated by rurAllure project - promotion of rural museums and heritage sites in the vicinity of European pilgrimage routes
<p>These datasets have been generated as part of rurAllure project (funded by the European Union’s Horizon 2020 Research and Innovation programme under grant agreement no 101004887). Main goal of rurAllure is the promotion of rural museums and heritage sites in the vicinity of European pilgrimage routes: https://rurallure.eu/project/about/</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.