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1,607 results for “art”

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zenodo36/100

Mojave Petroglyphs 1 (Rock Art)

Crowdsourced from Youtube frames under [Creative Commons](https://www.youtube.com/watch?v=CiUqEyNEppk). Captured with a Phantom 3 drone in the Mojave Desert of California. Created in RealityCapture by Capturing Reality from 70 images in 00h:06m:04s. Source: [Youtube - Counter UrCult](https://www.youtube.com/watch?v=CiUqEyNEppk) Source: Objaverse 1.0 / Sketchfab

opencc-by-sa-2.5Mar 2017View details →
zenodo36/100

Atelier d'art, Aiguèze

Atelier d'art situé dans les ruelles d'un des "plus beau village de France" : Aiguèze. Village fortifié à l'embouchure des gorges de l'ardèche. ![](http://www.les-plus-beaux-villages-de-france.org/files/photos_villages/Aigu%C3%A8ze-placette-chez-David.jpg) 90 Photographies prises avec mon ancien appareil photo. Source: Objaverse 1.0 / Sketchfab

opencc-byJan 2017View details →
zenodo36/100

Rock art Lille Strandbygård Bornholm

3D model of a rock northwest of Lille Strandbygård on the Danish Island of Bornholm. Six wheels and numerous cup marks can be seen on the rock. Source: Objaverse 1.0 / Sketchfab

opencc-byFeb 2022View details →
zenodo36/100

Bacanal - 3408 (Arte Italiano)

Autor: Rivalta, Augusto Estilo: No determinado Procedencia: Italia Datación: 1904 Material/Soporte: Bronce Técnicas: Vaciado, pintado Source: Objaverse 1.0 / Sketchfab

opencc-byDec 2017View details →
dryad36/100

HEartS Professional Survey: Charting the effects of COVID-19 on working patterns, income, and well-being among arts professionals in China (October 2020, August 2021)

<p>These data were collected using the HEartS Professional China survey from performing arts workers in China in October 2020 and August 2021. HEartS Professional China is an adaptation of the HEartS Professional surveys which were used in 2020-2021. All the surveys were designed as multi-strategy data collection tools with two main purposes: (1) to chart working patterns, income, sources of support, and indicators of mental and social well-being to identify trends in the effects of the lockdown at the time and (2) to explore the individual work and wellbeing experiences of performing arts professionals in their own words, to identify the subjective effects of lockdown in terms of challenges and opportunities. The survey covers six areas: 1) demographics; (2) information on illness or self-isolation related to COVID-19; (3) work profiles and income; (4) changes to work profiles and income as a result of the pandemic, as well as sources of support; (5) open-response questions about work and wellbeing experiences of lockdown including challenges and opportunities; and (6) validated measures of health, wellbeing, and social connectedness. The HEartS Professional surveys are adaptations of the HEartS Survey which charts the Health, Economic, and Social impacts of the ARTs (<a href="https://doi.org/10.5061/dryad.3r2280gdj">https://doi.org/10.5061/dryad.3r2280gdj</a>).</p>

opencc-zeroMay 2024View details →
zenodo36/100

Nilotic rock art - Boat depictions

<p>These rock art corpora bring together representations of boats documented in the Nile Valley and the deserts of Egypt and Lower Nubia.&nbsp;&nbsp;</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Manuel Alberto, "Beto" , Graterón: El arte de ganarse el pan sin dejar de amar al arte

<p>Hace algunos a&ntilde;os, Manuel Alberto Grater&oacute;n, &ldquo;Beto&rdquo;, era una rara avis del mundo empresarial. &iquest;C&oacute;mo se puede estar pensando en la inmanencia del ser o la<br>ca&iacute;da del Imperio romano mientras se discuten unas inversiones financieras durante una sesi&oacute;n de ejecutivos? &ldquo;Es un trabajo muy aburrido ese, unas<br>reuniones largu&iacute;simas, mon&oacute;tonas, no me gustaba eso&rdquo;, confiesa este ingeniero venezolano, exconstructor de obras civiles, calculista estructural, apasionado de la<br>Historia, la Filosof&iacute;a y la ciencia, y &ldquo;escribidor de papeles esot&eacute;ricos".</p>

opencc-by-4.0Dec 2023View details →
zenodo36/100

Seminario "Arte, participación y espacio público". Vídeo del desarrollo de la Mesa 3: Escenarios de evaluación y aprendizaje

<p>V&iacute;deo del Seminario "Arte, participaci&oacute;n y espacio p&uacute;blico", organizado en el contexto del Proyecto de Investigaci&oacute;n FACTIBLES "Pr&aacute;cticas art&iacute;sticas participativas para la&nbsp;apropiaci&oacute;n del espacio p&uacute;blico y el desarrollo de la calidad de vida urbana" (PID2020‑118221RB‑I00).</p> <p><span>El v&iacute;deo presenta el desarrollo de la <strong><span>Mesa 3: Escenarios de evaluaci&oacute;n y aprendizaje</span></strong>. El objetivo de esta tercera mesa ha sido conocer en qu&eacute; grado es posible la evaluaci&oacute;n del proceso de intervenci&oacute;n y qu&eacute; metodolog&iacute;as son las m&aacute;s oportunas.&nbsp;</span></p>

opencc-by-4.0May 2024View details →
zenodo36/100

Seminario "Arte, participación y espacio público". Vídeo del desarrollo de la Mesa 4: Experiencias en el ámbito local. Aprendizajes

<p>V&iacute;deo del Seminario "Arte, participaci&oacute;n y espacio p&uacute;blico", organizado en el contexto del Proyecto de Investigaci&oacute;n FACTIBLES "Pr&aacute;cticas art&iacute;sticas participativas para la&nbsp;apropiaci&oacute;n del espacio p&uacute;blico y el desarrollo de la calidad de vida urbana" (PID2020‑118221RB‑I00).</p> <p>El v&iacute;deo presenta el desarrollo de la <strong>Mesa 4: Experiencias en el &aacute;mbito local. Aprendizajes</strong>. El objetivo de esta cuarta y &uacute;ltima mesa ha sido conocer el resultado de algunas de las experiencias analizadas en el proyecto.&nbsp;</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Circular economy standards for automotive electronics: from a state of the art analysis to a new pre-standardization document

<p>The Standardization Toolkit, developed by <a href="https://www.uni.com/en/" target="_blank" rel="noopener">UNI (Italian Standards Body)</a> within the TREASURE project, is an open reserach tool designed to simplify reserach of international and european standards (EN and ISO) relevant to circular economy strategies in the automotive sector.</p> <p>This dynamic tool, powered by Microsoft Power BI, provides an extensive list of national, European, and international standards, detailing key information such as standard numbers, URLs for document retrieval, titles, publication years, and scopes.</p> <p>The Toolkit maps out 73 standards, including 61 current standards and 12 works in progress, overseen by prominent technical committees such as ISO and CEN. It covers crucial areas like life-cycle assessment, substance determination, and decision support frameworks, offering a valuable resource for stakeholders aiming to implement effective and sustainable practices.</p> <p>The Toolkit is freely available at&nbsp;<a href="https://www.treasureproject.eu/standardization-toolkit/">this link</a>.</p> <p>This publication includes the dateset behind the Standardization Toolkit, while D8.4 "Standardization Toolkit" describes the previous version of the mapping and the methodology behind the state of the art analysis.</p> <p>It has also been uploaded the D8.5 "Strategic standardization roadmap" which includes a description of the Standardization Toolkit, and the new pre-standardization document (CEN Workshop Agreement - CWA) developed within Treasure project.&nbsp;&nbsp;</p> <p>&nbsp;</p> <p><strong>Disclaimer:</strong> The standards retrieved from the Standardization Toolkit cannot be fully downloaded. The Toolkit serves to simplify the search for these standards and to provide an overview of what has been mapped during the TREASURE project&rsquo;s standardization activities.</p>

openMay 2024View details →
zenodo36/100

Images of The Art of Ikat: A Cambodian Renaissance exhibition - TEX-KR project

<p>Pictures of <em>The Art of Ikat: A Cambodian Renaissance</em> exhibition, a dissemination deliverable of the EU-funded MSCA TEX-KR project.<br><br><em>The Art of Ikat: A Cambodian Renaissance</em> took place from 22 February to 31 May 2024 at the Royal Danish Library / University of Copenhagen S&oslash;ndreCampus, Karen Blixens Plads 7, 2300 Copenhagen S., Denmark. The opening event took place on 22 February 2024.<br>This exhibition was curated by Magali An Berthon, project leader for TEX-KR with the support of Morten Grymer-Hansen, associate researcher at the Centre for Textile Research, University of Copenhagen&nbsp;</p> <p>More information about the exhibition: <a title="The Art of Ikat exhibition page" href="https://www.traditionaltextilecraft.dk/exhibition-tex-kr" target="_blank" rel="noopener">Exhibition page on TEX-KR website</a></p> <p>This repository presents images of the installation process; images of the exhibition display, venue and original artworks commissioned for the exhibition, and images of the opening event.</p> <p>To credit the images appropriately:<br>- The photos of the installation process and opening event are credited&nbsp;<strong>&copy; </strong>Luisa Dominguez Rey for TEX-KR.&nbsp;<br>- The photos of the exhibition display are credited <strong>&copy;</strong>TEX-KR.</p> <p>These images are also available on this link: <a href="https://www.traditionaltextilecraft.dk/gallery" target="_blank" rel="noopener">Image gallery</a></p>

opencc-by-4.0Jun 2024View details →
dryad36/100

Using machine learning to distinguish between authentic and imitation Jackson Pollock poured paintings: Art images

<p>Jackson Pollock's abstract poured paintings are celebrated for their striking aesthetic qualities. They are also among the most financially valued and imitated artworks, making them vulnerable to high-profile controversies involving Pollock-like paintings of unknown origin. Given the increased employment of artificial intelligence applications across society, we investigate whether established machine learning techniques can be adopted by the art world to help detect imitation Pollocks. The low number of images compared to typical artificial intelligence projects presents a potential limitation for art-related applications. To address this limitation, we develop a machine learning strategy involving a novel image ingestion method which decomposes the images into sets of multi-scaled tiles. Leveraging the power of transfer learning, this approach distinguishes between authentic and imitation poured artworks with an accuracy of 98.9%. The machine also uses the multi-scaled tiles to generate novel visual aids and interpretational parameters which together facilitate comparisons between the machine's results and traditional investigations of Pollock's artistic style.</p>

opencc-zeroJun 2024View details →
zenodo36/100

Figure 5 in Mushroom art in South Africa and Zimbabwe - Emil Holub: 1847-1902

Figure 5. Holub no. 44: Agaricus (including cross-section); no.46: Coprinus comatus.

opencc-by-4.0Oct 2021View details →
zenodo36/100

Figure 2 in Mushroom art in South Africa and Zimbabwe - Emil Holub: 1847-1902

Figure 2. Holub no. 4: Phellorinia herculeana.

opencc-by-4.0Oct 2021View details →
zenodo36/100

Comparison of State-of-the-Art Reactive Auto-Scaler in 3 Different Environments

<p>We investigate the hypothesis &quot;The scaling behavior of a standard, reactive, CPU utilization-rule-based auto-scaler depends on the environment&quot;. Hence, we implement such an auto-scaler for scaling a CPU-intensive application as a benchmark in three different environments: (i) a private Cloud, (ii) AWS EC2 and (iii) IaaS cloud of the Distributed ASCI Supercomputer 4 (DAS-4).</p>

opencc-by-4.0Feb 2018View details →
zenodo36/100

Bowl. Cleveland Museum of Art

<p>Bowl. Cleveland Museum of Art</p>

opencc-by-4.0Apr 2018View details →
zenodo36/100

Indian Art Music Tonic Datasets

<p><strong>Introduction</strong></p> <p>These datasets comprise audio excerpts and manually done&nbsp;annotations&nbsp;of the tonic pitch of the lead artist for each audio excerpt. Each excerpt is accompanied by its associated editorial metadata. These datasets can be used to develop and evaluate computational approaches for automatic tonic identification in Indian art music. These datasets have been used in several articles mentioned below.&nbsp;A majority of these datasets come from the&nbsp;<a href="http://compmusic.upf.edu/corpora">CompMusic corpora</a>&nbsp;of Indian art music, for which each recording is associated with a&nbsp;<a href="https://musicbrainz.org/doc/MusicBrainz_Identifier">MBID</a>. With the MBID other information can be obtained using the&nbsp;<a href="http://dunya.compmusic.upf.edu/developers/">Dunya API</a>. We here provide an overview of the tonic identification datasets.&nbsp;</p> <p><strong>Datasets&nbsp;</strong></p> <p>The statistics about the datasets for tonic identification is listed in the table below. These six datasets are used in [1] for a comparative evaluation. To the best of our knowledge these are the largest datasets available for tonic identification for Indian art music. These datases vary in terms of the audio quality, recording period (decade), the number of recordings for Carnatic, Hindustani, male and female singers and instrumental and vocal excerpts. For a detailed information about these datasets we refer to Chapter 3 of this&nbsp;<a href="http://mtg.upf.edu/node/3592">thesis</a>.</p> <p>All the datasets (annotations) are version controlled. To know how the features are extracted visit the companion page for the&nbsp;<a href="http://compmusic.upf.edu/node/323">publication</a>.</p> <p>The audio files corresponding to these datsets are made available on request for only research purposes. To obtain the files, please refer to <a href="https://zenodo.org/record/7342372">this Zenodo entry</a>.</p> <p><strong>Annotation Format&nbsp;</strong></p> <p>The tonic annotations are availabe both in tsv and json format.&nbsp;</p> <p>TSV: &lt;relative path to audio&gt;&lt;tab&gt;&lt;tonic(Hz)&gt;&lt;tab&gt;&lt;Carnatic or Hindustani&gt;&lt;tab&gt;&lt;artist_name&gt;&lt;tab&gt;&lt;gender of the singer&gt;&lt;vocal or instrumental&gt;&nbsp;</p> <p>JSON:&nbsp;{<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &#39;artist&#39;: &lt;name of the lead artist if available&gt;,&nbsp;</p> <p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &#39;filepath&#39;: &lt;relative path to the audio file&gt;,</p> <p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &#39;gender&#39;: &lt;gender of the lead singer if available&gt;,</p> <p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &#39;mbid&#39;: &lt;musicbrainz id when available&gt;,</p> <p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &#39;tonic&#39;: &lt;tonic in Hz&gt;,</p> <p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &#39;tradition&#39;: &lt;Hindustani or Carnatic&gt;,</p> <p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &#39;type&#39;: &lt;vocal or instrumental&gt;<br> &nbsp;&nbsp;&nbsp;&nbsp; }</p> <p><br> where keys of the main dictionary are the filepaths to the audio files (feature path is exactly the same with a different extension of the file name).</p> <p><strong>Using this dataset</strong></p> <p>If you use this dataset in a publication, please cite:</p> <blockquote> <p>Gulati, S., Bellur, A., Salamon, J., Ranjani, H. G., Ishwar, V., Murthy, H. A., &amp; Serra, X. (2014). Automatic Tonic Identification in Indian Art Music: Approaches and Evaluation.&nbsp;<em>Journal of New Music Research</em>,&nbsp;<em>43</em>(01), 55&ndash;73.&nbsp;</p> </blockquote> <p><a href="http://hdl.handle.net/10230/25675">http://hdl.handle.net/10230/25675</a></p> <p>We are interested in knowing if you find our datasets useful! If you use our dataset please email us at <a href="mailto:mtg-info@upf.edu">mtg-info@upf.edu</a> and tell us about your research.</p> <p><strong>Contact&nbsp;</strong></p> <p>If you have any questions or comments about the dataset, please feel free to email: [sankalp (dot) gulati (at) gmail (dot) com], or&nbsp;[sankalp (dot) gulati (at) upf (dot) edu]</p> <p>&nbsp;</p> <p><a href="http://compmusic.upf.edu/iam-tonic-dataset">http://compmusic.upf.edu/iam-tonic-dataset</a></p> <p>&nbsp;</p>

opencc-by-nc-nd-4.0Feb 2014View details →
zenodo36/100

representations of the works of art in respect to the date of creation of the record of the art works and the production date of the work of art (source: https://kor.uni-frankfurt.de)

<p>visualizing all representations of the works of art in respect to the date of creation of the record of the art works and the production date of the work of art</p> <p>the resulting visualization (imageplot): x-axis: date of creation of record in database (starting in 2009 and ending in 2016); y-axis: date of production of the artwork</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2015View details →
zenodo36/100

the proportion of classes of techniques of works of art (source: https://kor.uni-frankfurt.de)

<p>Data<br> * records representing works of arts were classified orcording to their technique/material<br> ** not every work of art had a technique/material value<br> ** not all technique/material values have been included into one of the classes</p> <p>Processing<br> ** the script uses d3.js</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2015View details →
zenodo36/100

"Haptic aesthetics and bodily properties of Ori Gersht's digital art: a behavioral and eye-tracking study." - datasets and script

<p>&quot;Haptic aesthetics and bodily properties of Ori Gersht&rsquo;s digital art: a behavioral and eye-tracking study.&quot;</p> <p>Datasets and R script for analyses of behavioural scores and visual parameter.</p>

opencc-by-4.0Oct 2019View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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