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1,607 results for “ART”
Offering ART refill through community health workers versus clinic-based follow-up after home-based same-day ART initiation in rural Lesotho: The VIBRA cluster-randomised clinical trial
<p>These are pseudo-anonymised data from the VIBRA randomized trial: "Offering ART refill through community health workers versus clinic-based follow-up after home-based same-day ART initiation in rural Lesotho: The VIBRA cluster-randomised clinical trial". The data dictionary explains the data available in the dataset. Between August 2018 and May 2019, 257 eligible individuals from 117 consenting villages were enrolled from two districts of Lesotho, and followed up for a maximum of 15 months. The protocol was published, doi: 10.1186/s13063-019-3510-5</p>
Art&Emotions Dataset
<p><strong>Art&Emotion experiment description </strong> </p> <p><br> The Art & Emotions dataset was collected in the scope of EU funded research project SPICE (https://cordis.europa.eu/project/id/870811) with the goal of investigating the relationship between art and emotions and collecting written data (User Generated Content) in the domain of arts in all the languages of the SPICE project (fi, en, es, he, it). The data was collected through a set of Google Forms (one for each language) and it was used in the project (along the other datasets collected by museums in the different project use cases) in order to train and test Emotion Detection Models within the project.<br> <br> The experiment consists of 12 artworks, chosen from a group of artworks provided by the GAM Museum of Turin (https://www.gamtorino.it/) one of the project partners. Each artwork is presented in a different section of the form; for each of the artworks, the user is asked to answer 5 open questions: </p> <p>1. What do you see in this picture? Write what strikes you most in this image. </p> <p>2. What does this artwork make you think about? Write the thoughts and memories that the picture evokes.</p> <p>3. How does this painting make you feel? Write the feelings and emotions that the picture evokes in you </p> <p>4. What title would you give to this artwork?</p> <p>5. Now choose one or more emoji to associate with your feelings looking at this artwork. You can also select "other" and insert other emojis by copying them from this link: https://emojipedia.org/</p> <p> <br> For each of the artworks, the user can decide whether to skip to the next artwork, if he does not like the one in front of him or go back to the previous artworks and modify the answers. It is not mandatory to fill all the questions for a given artwork.</p> <p>The question about emotions is left open so as not to force the person to choose emotions from a list of tags which are the tags of a model (e.g. Plutchik), but leaving him free to express the different shades of emotions that can be felt. </p> <p>Before getting to the heart of the experiment, with the artworks sections, the user is asked to leave some personal information (anonymously), to help us getting an idea of the type of users who participated in the experiment. </p> <p>The questions are: </p> <ol> <li>Age (open) </li> <li>Gender (male, female, prefer not to say, other (open)) </li> <li>How would you define your relationship with art? </li> </ol> <ul> <li>My job is related to the art world </li> <li>I am passionate about the art </li> <li>I am a little interested in art </li> <li>I am not interested in art </li> </ul> <p> 4. Do you like going to museums or art exhibitions? </p> <ul> <li>I like to visit museums frequently </li> <li>I go occasionally to museums or art exhibitions </li> <li>I rarely visit museums or art exhibitions </li> </ul> <p>---------------------</p> <p>Dataset structure:</p> <ul> <li>FI.csv: form data (personal data + open questions) in Finnish (UTF-8)</li> <li>EN.csv: form data (personal data + open questions) in English (UTF-8)</li> <li>ES.csv: form data (personal data + open questions) in Spanish (UTF-8)</li> <li>HE.csv: form data (personal data + open questions) in Hebrew (UTF-8)</li> <li>IT.csv: form data (personal data + open questions) in Italian (UTF-8)</li> <li>artworks.csv: the list of artworks including title, author, picture name (the pictures can be found in pictures.zip) and the mapping between the columns in the form data and the questions about that artwork </li> <li>pictures.zip: the jpeg of the artworks</li> </ul>
State-of-the-art review of near-term freshwater forecasting literature published between 2017 and 2022
This data publication includes code and results from a systematic literature review on the current state of near-term forecasting of freshwater quality. The review aimed to address the following questions: (1) Freshwater variables, scales, models, and skill: Which freshwater variables and temporal scales are most commonly targeted for near-term forecasts, and what modeling methods are most commonly employed to develop these forecasts? How is the accuracy of freshwater quality forecasts assessed, and how accurate are they? How is uncertainty typically incorporated into water quality forecast output? (2) Forecast infrastructure and workflows: Are iterative, automated workflows commonly employed in near-term freshwater quality forecasting? How are forecasts validated and archived? (3) Human dimensions: What is the stated motivation for development of most near-term freshwater quality forecasts, and who are the most common end users (if any)? How are end users engaged in forecast development? An initial search was conducted for published papers presenting freshwater quality forecasts from 1 January 2017 to 17 February 2022 in the Web of Science Core Collection. Results were subsequently analyzed in three stages. First, paper titles were screened for relevance. Second, an initial screen was conducted to assess whether each paper presented a near-term freshwater quality forecast. Third, papers that passed the initial screen were analyzed using a standardized matrix to assess the state of near-term freshwater quality forecasting and identify areas of recent progress and ongoing challenges. Additional details regarding the systematic literature search and review are presented in the Methods section of the metadata.
Arts and humanities in the LTER Network: understanding extent, values, and challenges by assessing the relevance of empathy in the LTER Network, 2013-2014
The Long-term Ecological Research (LTER) Network is a collection of 25 National Science Foundation-funded sites committed to long-term, place-based investigation of the natural world. While activities primarily focus on ecological research, arts and humanities inquiry emerged in 2002 and since then a substantial body of creative work has been produced at LTER-affiliated sites. These art-humanities-science collaborations parallel a wider trend in universities and nonprofits. However, there is little empirical work on the value and effectiveness of this work. After launching a survey in 2013 to assess the values and challenges associated with arts and humanities in the LTER Network, which identified empathy as a meaningful potential outcome of this creative work, we conducted a follow-up analysis to understand: the relevance of empathy in the LTER Network; the role of empathy in bridging arts, humanities, and science collaborations; and the capacity of empathy to connect wider audiences both to LTER science and to the natural world. Our research included phone interviews with representatives from 15 LTER sites and an audience perception survey at an LTER-hosted art show. We found that arts-humanities-science collaborations have great potential to catalyze relationships between scholars, the public, and the natural world; cultivate inspiration and empathy for the natural world; and spark awareness shifts that can enable pro-environmental behavior. Our research demonstrates the potential for art-humanities-science collaborations to facilitate conservation attitudes and action in the Network and beyond.
Analyses of the works of art and events related to Erkki Kurenniemi's Electronic Musical Instruments (EKIS)
<p>This speadsheet includes data related to analyses of works of art and events related to the Erkki Kurenniemi's electronic musical instruments. The data set produced as a part of the PhD project "User Stories of Erkki Kurenniemi’s Electronic Musical Instruments" by Mikko Ojanen.</p>
Arte de Donato: tradução alinhada
<p>Anotação eletrônica das correspondências entre o texto latino e a tradução em língua portuguesa do mais influente manual de gramática da Antiguidade: a Arte de Donato (±350 d.C.). Integra o conteúdo aqui disponibilizado: o texto latino editado por Louis Holtz (1981), disponível no site <a href="http://mlat.uzh.ch/MLS/xanfang.php?tabelle=Donatus_cps13">Corpus corporum</a>, da Universidade de Zurich e a tradução para o português realizada por Lucas Consolin Dezotti em <a href="https://doi.org/10.11606/D.8.2011.tde-22092011-161749">dissertação de mestrado</a> defendida pela Universidade de São Paulo. O trabalho de alinhamento dos textos foi feito utilizando as ferramentas <a href="http://ugarit.ialigner.com/">Ugarit</a> e Alpheios, esta disponível na plataforma <a href="https://www.perseids.org/">Perseids</a>. A visualização dos textos em paralelo pode ser acessada através do sumário publicado no <a href="http://letrasclassicasufpb.wordpress.com/2019/12/27/arte-de-donato-traducao-alinhada/">site dos professores</a> do curso de Letras Clássicas da Universidade Federal da Paraíba, Brasil.</p>
Notebook Critiques d'Art 1 : les pseudonymes
<p>This is a tutorial to make Notebook Jupyter which queries the API of the Art Critics site to filter the pseudonyms.</p> <p>C'est un tuto pour faire Notebook Jupyter qui interroge l'API du site critiques d'Art pour filtrer les pseudonymes.</p> <p>Es ist ein Tutorial, um ein Jupyter-Notebook zu erstellen, das die API der Art Critics Site abfragt, um Pseudonyme zu filtern.</p> <p> </p> <p> </p>
ARCA (Arte Colonial Americano)
<p>El proyecto ARCA, Arte colonial americano, es una curaduría visual que contiene veinticinco mil pinturas coloniales producidas en las tres américas: Hispano, Luso y Angloamérica. Además de exponer la riqueza visual americana entre 1550 a 1830, fechas extremas de esta colección, se trata de explorar los datos y metadatos que ofrecen las pinturas de manera digital. Por esta razón es una base de datos relacional, interactiva y con algunas herramientas de análisis que permiten extender la escala de la investigación más allá de los mecanismos tradicionales. Arca parte de las propuestas de las Humanidades Digitales, y particularmente se traza como un proyecto de historia digital, en dos sentidos: primero, históricamente abre la exploración a los problemas de la cultura visual colonial desde sus metadatos. En segundo lugar, convierte esta base de datos en un campo para experimentar con metodologías digitales de minería de datos y lectura distante. </p>
"Non facciamo la guerra, combattiamo i rifiuti!"_FishArt.Participatory Art for environmental sustainability and aesthetic transformation of Anzio Fishermen's Harbour
<p>FishArt is a 10-month international project funded by the New European Bahahus Cross-KIC Connect 2024 written by and granted to Chiara Certoma’ (UniTo – now at UniRm1) and led by Laura Corazza (UniTo), in collaboration with Raw-News, Platoon and the fishermen cooperatives of Anzio (Rome, Italy). FishArt promotes a radically participatory art and education process supporting the requalification of the Fishermen’s Harbour in the coastal city of Anzio, Italy.As part of the FishArt project agenda, transect walks and educational training initiatives have been combined in a major event, strongly requested by the local community. The synergy between local institutions and international research aims to stimulate civic participation on the problem of marine pollution and the care of the coastal territory.The event “Let’s not make war, let’s fight waste!” is a civic initiative promoted by the Extraordinary Commission supported by the Environment Area of the Municipality of Anzio which aims to involve all the components of civil society for a collaborative cleaning of the beaches, transforming the celebrations of the Anzio/Nettuno landing into a moment of sharing and to raise awareness against marine pollution.</p>
French-language art critics bibliographies dataset
<p>French-language art critics active between the mid-19<sup>th</sup> and 20<sup>th</sup> centuries (see <a href="http://critiquesdart.univ-paris1.fr/en">http://critiquesdart.univ-paris1.fr/en</a>). Each author’s page displays their primary and secondary bibliographies and identified archival sources. These documents are based on extensive research to produce primary bibliographies that can be considered to be comprehensive. For those writers whose complete works have been published, only their writing on art is listed. This online directory doubles as a database of primary bibliographies for the critics listed.</p> <p>This dataset is neutral and non-discriminating, with no typology or classification other than the text format. It is multidisciplinary and makes no claim to assess the critical value of a text, preferring to provide as comprehensive an overview as possible of the authors’ literary output in whatever field (literature, art, politics, history, etc.) or medium (photography, film, fine arts, architecture, etc.) their interest encompassed.</p> <p>Since these authors all wrote in French, they come from the artistic scenes in France, Belgium and Switzerland, not to mention the colonies of the period. Authors who wrote in more than one language are also included.</p> <p>Our intention is to showcase research into art criticism, improve access to the documents and create links between researchers. The site will be gradually updated and enriched by the addition of further authors and greater detail for its current bibliographies.</p> <p><strong>Full mysql database : "<a href="https://zenodo.org/api/files/62e9c484-74ae-456f-91f1-bb8dde962d11/critiquesdart_08_02_2022.sql?versionId=02fdf2bb-4b38-43b0-9c2c-1bf32b8997a9">critiquesdart_08_02_2022.sql</a>", see </strong><a href="https://doi.org/10.7202/1079443ar">https://doi.org/10.7202/1079443ar</a> for more details (in french).</p> <p><strong>Data set 1 : " <a href="https://zenodo.org/record/3999374/files/database_journal_list.csv?download=1">database_journal_list.csv</a> " description (en/fr) :</strong></p> <p><em><strong>description of the fields:</strong></em></p> <ul> <li>"title": title of the journal</li> <li>"ISSN": International identifier for serial publications</li> <li>"temporal_cover": Start and end dates of publication</li> <li>"city": place of publication, if known, otherwise NULL</li> </ul> <p><strong><em>descriptif des champs :</em></strong></p> <ul> <li>"titre": titre de la revue</li> <li>"ISSN": Identifiant International des publications en série</li> <li>"couverture_temporelle": Dates de début et de fin de publication</li> <li>"ville": lieu de publication, si connu, sinon NULL</li> </ul> <p><strong>Dataset 2 : " <a href="https://zenodo.org/api/files/4023bb1d-b185-432c-bbae-1d4b27277468/Notices_critiques.csv?versionId=d682a60a-3e7e-4dc3-aee0-14636b4ac387">Notices_critiques.csv </a> " description (en/fr) : list of all the critics in the database (see http://critiquesdart.univ-paris1.fr/annuaire_critiques.php).</strong></p> <p><em><strong>description of the fields:</strong></em></p> <ul> <li>"id": identifier in the database</li> <li>"first name": First name of the author, if known, otherwise empty</li> <li>"name": Author's last name</li> <li>"birth": Year of birth</li> <li>"death": date of death</li> <li>"ISNI": International Standard Name Identifying people</li> </ul> <p><em><strong>descriptif des champs :</strong></em></p> <ul> <li>"id ": identifiant dans la base</li> <li>"prenom ": Prénom de l'auteur, si connu, sinon vide</li> <li>"nom": Nom de famille de l'auteur</li> <li>"naissance": Année de naissance</li> <li>"mort": date de mort</li> <li>"ISNI": International Standard Name Identifier des personnes</li> </ul> <p><strong>Dataset 3 : "</strong><a href="https://zenodo.org/api/files/4023bb1d-b185-432c-bbae-1d4b27277468/full_notices_dataset.csv?versionId=8d851f6a-f0ba-4989-ba85-a5b825fbd164">full_notices_dataset.csv</a>" <strong>description (en/fr) :</strong> List of all the notices</p> <p><em><strong>description of the fields:</strong></em></p> <ul> <li>"critical_id": id of the review in the database</li> <li>"title": title of the review</li> <li>"subtitle": subtitle of the review, otherwise NULL</li> <li>"type": type of criticism</li> <li>"author_id": author's id in the database</li> <li>"name": name of the author reviewer</li> <li>"first name": first name of the author critic</li> <li>"annee_ouvrage": year of publication if the review is a work or part of a work, otherwise NULL</li> <li>"coordinator": potential coordinator of the structure, otherwise NULL</li> <li>"titre_ouvrage": title of the work if the review is an article, otherwise NULL</li> <li>"annee_periodique *": year of publication if the review is an article, otherwise NULL</li> <li>"periodic_title": name of the journal if the review is an article, otherwise NULL</li> <li>"city": place of publication, if known, otherwise NULL</li> </ul> <p><em><strong>descriptif des champs :</strong></em></p> <ul> <li>"id_critique": id de la critique dans la base</li> <li>"titre": titre de la critique</li> <li>"sous titre": sous titre de la critique, sinon NULL</li> <li>"type": type de critique</li> <li>"id_auteur": id de l'auteur dans la base</li> <li>"nom": nom du critique auteur</li> <li>"prenom": prénom du critique auteur</li> <li>"annee_ouvrage": année de parution si la critique est un ouvrage ou partie d'un ouvrage, sinon NULL</li> <li>"coordonateur": coordonateur potentiel de l'ouvrage, sinon NULL</li> <li>"titre_ouvrage": titre de l'ouvrage si la critique est un article, sinon NULL</li> <li>"annee_periodique *": année de parution si la critique est un article, sinon NULL</li> <li>"titre_periodique": nom de la revue si la critique est un article, sinon NULL</li> <li>"ville": lieu de publication, si connu, sinon NULL</li> </ul>
Estado del arte: bases de datos reutilizables
<p>Base de datos de estudios previos sobre el corpus de revistas objeto de análisi del proyecto <em>Digitization and Analysis of Cultural Transfers in Colombian Literary Magazines (1892–1950)</em></p>
The Identification of Extinct Megafauna in Rock art Using Geometric Morphometrics: A Genyornis newtoni Painting in Arnhem Land, Northern Australia?
<p>Raw data files used for the analysis of a contentiously identified rock-art image located in Arnhem Land, Northern Australia. The data were used to test a novel approach to quantifying species identification in rock art images to assess the extent to which an image resembles other rock art of sound identification or anatomical images of visually similar species.</p> <p>Included files are the raw coordinate data files ("[feature] PCA file", .txt format) for use in Morphologika2, and formatted files for use in CVAGen8 ("[feature]" x1y1 file for CVA", .x1y1 format; "[feature] group file", .txt format).</p> <p>Files produced using software by Rohlf (2015) and Sheets (2014)</p>
Datenaufbereitung zum State-of-the-Art und Fortschritt europäischer Gaia-X sowie Datenraum Initiativen mit einem Schwerpunkt auf Industrie 4.0 Anwendungsfälle
<p><span>In seiner Gesamtheit umfasst der Datensatz eine Sammlung von Initiativen und Projekten, die mit </span><span>Gaia-X sowie Data Spaces im Allgemeinen in Verbindung stehen</span><span>.</span> Ziel der Datensammlung war es, eine detaillierte Übersicht über bestehende Projekte zu erhalten und diese systematisch zu kategorisieren, um anschließend spezifische industrielle Anwendungsfälle herauszuarbeiten und diese zu analysieren. Der Zeitraum dieser Sammlung erstreckte sich von April 2023 bis März 2024. Anzumerken ist, dass sämtliche zur Verfügung stehenden Informationen innerhalb dieses Zeitraums in den Datensatz aufgenommen wurden. Ab März 2024 wurden keine weiteren Daten erfasst, wodurch der Datensatz den aktuellen Stand bis zu diesem Zeitpunkt widerspiegelt.</p> <p>Insgesamt wurden 211 Initiativen aus 281 Quellen zusammengetragen und ausgewertet. Diese unterteilen sich (über alle Domänen hinweg) in 102 Data Spaces und 93 Anwendungsfälle. Die 93 Anwendungsfälle beinhalten 47 Industrie 4.0 relevante Anwendungsfälle.</p>
Deep Reference Mining from Scholarly Literature in the Arts and Humanities - Pre-trained word embeddings
<p>Pre-trained word vectors of dimensionality 100 and 300 for the publication: Deep Reference Mining from Scholarly Literature in the Arts and Humanities, submitted to Frontiers in Digital Humanities.</p> <p>The corpus of scholarly publications from which these vectors were trained is under copyright, therefore we publish these vectors for reproducibility. Please refer to the publication's repository for further details: <a href="https://github.com/dhlab-epfl/LinkedBooksDeepReferenceParsing">https://github.com/dhlab-epfl/LinkedBooksDeepReferenceParsing</a>.</p> <p>These vectors were trained using Gensim 3.1.0. The corpus was preprocessed as follows:</p> <ol> <li>word tokenization with NLTK word_punct tokenizer.</li> <li>digits were converted into the $NUM$ token</li> <li>words less frequent than 5 times, for every document, were converted to the $UNK$ token</li> <li>vectors were trained using the function: Word2Vec(window=5, min_count=5, sg=1)</li> </ol>
A recent overview of the state-of-the-art elements of text classification - dataset
<p>The two available datasets were used to conduct the quantitative analysis of the text classification area. The set, such as:</p> <ol> <li>biblio.bib contains all articles that are grouped in categories</li> <li>biblio.csv contains processed records from biblio.bib, based on it were built the statistics presented in the article</li> </ol>
Self-organized Art Initiatives in Switzerland
<p>This data set was created as part of the <a href="https://www.hslu.ch/en/lucerne-university-of-applied-sciences-and-arts/research/projects/detail/?pid=1045" rel="nofollow">"Off OffOff Of?"</a> research project at the Lucerne School of Design, Film and Art. It contains information about more than 700 self-organized art initiatives in Switzerland and is the basis for the project website <a href="https://selbstorganisation-in-der-kunst.ch/" rel="nofollow">selbstorganisation-in-der-kunst.ch</a>.</p>
Desk research of 107 case studies on state-of-the-art of cultural tourism interventions
<p>The aim of Work Package 3 of the SmartCulTour project (<a href="http://www.smartcultour.eu">www.smartcultour.eu</a>) is to provide a state-of-the-art overview of cultural tourism interventions implemented in European cities and regions, thereby identifying best practices and the impacts and success conditions of cultural tourism interventions. To this end, the consortium identified 107 interesting cultural tourism interventions throughout Europe, with a <strong>geographical coverage</strong> of: Belgium (9), Italy (8), The Netherlands (8), Serbia (7), Romania (6), Croatia (5), Hungary (4), Portugal (4), Spain (4), United Kingdom (4), Finland (3), France (3), Sweden (3), Other countries (24), Multiple countries (15). The "Overview and taxonomy of 107 interventions" lists every intervention that was studied, as well as their respective classification given, based on the description and objective of the intervention. Within this table, a value of "1" is its primary categorization, with a value of "2" assigned to a secondary taxonomy. Each intervention can have multiple purposes and therefore belong to different categories.The taxonomy of cultural tourism interventions is further described in "State of the art of cultural tourism interventions" (DOI: 10.5281/zenodo.5270321).</p> <p>The 107 cultural tourism interventions were analyzed via desk research only during the period September 2020-January 2021, based on available secondary data and following a standardized <strong>data collection form</strong>. This form is included here as "Internal data collection form used for analysis". The forms collect data on:</p> <ul> <li>Context and background information;</li> <li>The 'reason why' of the intervention;</li> <li>The intervention;</li> <li>Resources and tools necessary to design and implement the interventions;</li> <li>Impacts (expected, perceived and measured);</li> <li>(Perceived) success conditions and limiting factors.</li> </ul> <p>The zip-file "Internal forms of 107 interventions" contains all 107 completed data collection forms.</p> <p> </p>
ARTE (Article Reproducibility Template & Environment) workflow folder structure
<p>Illustration of a suggested folder and file system for editing articles that are <strong>dynamic and reproducible</strong>.</p> <p>The <a title="TIER Protocol 4.0 Site" href="https://www.projecttier.org/tier-protocol/protocol-4-0/" target="_blank" rel="noopener"><strong>TIER Protocol 4.0</strong></a> served as the foundation for this proposal, which was intended to be modified in <strong>Quarto using Rstudio</strong>, for instance, then published on <a title="Article Template Exemple" href="https://phdpablo.github.io/article-template/" target="_blank" rel="noopener"><strong>GitHub Pages</strong></a>.</p> <p>An example of its deployment is provided here: <a title="Article Template Example" href="https://phdpablo.github.io/article-template/" target="_blank" rel="noopener">https://phdpablo.github.io/article-template/</a></p> <p>According to <a title="Original Article" href="https://periodicos.ufpe.br/revistas/index.php/politicahoje/article/view/245776" target="_blank" rel="noopener">Domingos and Batista's (2021)</a> suggested content (files) recommendations, the figure illustrates the design of the proposal while accounting for the three primary <strong>TIER Protocol 4.0</strong> folders (Data, Scripts, and Output). The proposal for the <strong>TIER Protocol 4.0</strong> was modified to take into account that the research narrative would be edited in a <a title="Site Quarto" href="https://quarto.org/docs/guide/" target="_blank" rel="noopener"><strong>dynamic Quarto-type document</strong></a> (*.qmd), published on <a title="Article Template Example" href="https://phdpablo.github.io/article-template/" target="_blank" rel="noopener">GitHub Pages</a> (docs/) following Rstudio rendering, and potentially even produce a .pdf file of the article; <strong>*.qmd </strong> denotes a collection of <strong>Quarto files </strong>containing the standard sections of a scientific article (Introduction, Theoretical Framework, Methods, etc.); the other folders indicated in the root (adm, docker, renv) are for project management and for controlling dependencies and the environment, if adopted by the researcher.</p> <p>Visit the project repository at <a title="GitHub Repository" href="https://github.com/phdpablo/article-template/" target="_blank" rel="noopener">https://github.com/phdpablo/article-template/</a> for additional details. Visit <a title="OSF" href="https://osf.io/njdq5/" target="_blank" rel="noopener">https://osf.io/njdq5/</a> to view the template on OSF.</p>
Indian Art Music Raga Recognition Dataset (features)
<p>The <strong>Rāga Recognition Datasets (features)</strong> comprise two sizable datasets, one for each music tradition: the <strong>Carnatic Music Dataset (CMD)</strong> and the <strong>Hindustani Music Dataset (HMD)</strong>. Each dataset entry includes features such as <strong>pitch</strong>, <strong>tonic</strong>, and <strong>nyas</strong> and <strong>tani</strong> segments. These datasets can be used to develop and evaluate approaches for automatic rāga recognition in Indian art music. To the best of our knowledge, they are the largest and most comprehensive datasets (in terms of available metadata) ever used for studying this task.</p> <p>This repository only contains the metadata and computed features for the dataset, and shared in open access. To get the audio, please refer <a href="https://zenodo.org/records/7278511" target="_blank" rel="noopener">to this zenodo entry</a> and submit your request.</p> <p> </p> <p>Please cite the following publications if you use the material shared here in your research work.</p> <blockquote> <p>Gulati, S., Serrà, J., Ganguli, K. K., ¸Sentürk, S., & Serra, X. (2016). Time-delayed melody surfaces for raga recognition. In Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR), pp. 751–757. New York, USA. [<a href="http://hdl.handle.net/10230/33117">Postprint PDF</a>]</p> </blockquote> <blockquote> <p>Gulati, S., Serrà, J., Ishwar, V., ¸Sentürk, S., & Serra, X. (2016). Phrase-based raga recognition using vector space modeling. In Proceedings of the 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 66–70. Shanghai, China. [<a href="http://hdl.handle.net/10230/32879">Postprint PDF</a>]</p> </blockquote> <p> </p> <h2>Annotation Format</h2> <p>We provide both tsv files and json files that contain information about each audio recording in terms of its mbid, the path of the audio/feature files and the associated rāga identifier. Each rāga is assigned a unique identifier by Dunya, which is similar to the mbid in terms of purpose. We also provide a mapping of the rāga id to its transliterated name.</p> <h2>Mirdata</h2> <p>This dataset is included in <a href="https://github.com/mir-dataset-loaders/mirdata">mirdata</a>. Use the following code snippet to access the dataset in mirdata.</p> <pre><code># Import midata import mirdata # Initialize dataset dataset_name = 'compmusic_raga' data_home = 'mirdata/dataset' dataset = mirdata.initialize(dataset_name, data_home=data_home) # Download dataset dataset.download() # Validate dataset dataset.validate() # Load dataset as a dictionary with track ids as keys and track objects as values data = dataset.load_tracks()</code></pre> <p>In order to load the audio files in mirdata, they must be requested beforehand and placed in the data home directory.</p> <h2>Contact </h2> <p>If you have any questions or comments about the dataset, please feel free to email:</p> <p><a href="mailto:mtg-info@upf.edu">mtg-info@upf.edu</a></p> <p> </p>
Inventories of 17th-century Dutch painters and art dealers: the Künstler-Inventare database
<p>Abraham Bredius’ seminal work <em><a href="https://digi.ub.uni-heidelberg.de/diglit/bredius1915ga">Künstler-Inventare</a> </em>contains over 150 inventories of artists’ possessions in the Dutch Republic. However, this rich source has never been fully transformed into datasets, partially because Bredius was selective in his transcriptions of artists’ inventories with a focus on paintings. To fill this gap and to overcome Bredius’ biases, the <a href="https://www.virtualinteriorsproject.nl/">Virtual Interior project</a> assembled and transcribed 46 inventories of artists’ and art dealers’ homes in 17<sup>th</sup>-century Amsterdam. The selection of the inventories was based on three criteria: 1) The artists’ and art dealers’ inventories in my sample were drawn up during an artist’s lifetime or shortly after his death; 2) the inventories listed goods arranged by room; 3) the original documents of the inventories can still be traced in the Amsterdam City Archives. Forty-six inventories were selected and transcribed from the original sources or copied from existing publications. The majority of my samples can be found in the <a href="https://archief.amsterdam/inventarissen/details/5075/keywords/notarissen/withscans/0/start/0/limit/10/flimit/5">notarial archives</a> (Archive nr. 5075) and the rest in the <a href="https://archief.amsterdam/inventarissen/details/5072/withscans/0/findingaid/5072/start/0/limit/10/flimit/5">Archive of the Chamber of Insolvency</a> (<em>Desolate Boedel kamer, </em>Archive nr. 5072), both preserved in the Amsterdam City Archives<em>. </em>Starting with the published inventories, Bart Reuvekamp from our project team traced them back to the original sources in the archive, transcribed centuries-old handwritten pages, and compiled the listed objects in digital form. In this way, our database is able to encompass all belongings present in painters’ workshops, filling in the blanks that Bredius and other authors neglected or chose to leave out – the missing information that once hindered our comprehension of how artists organized their studios.</p> <p>The dataset is organized as follows:</p> <ul> <li><strong>1_Intro_and_data_explanation.xlsx</strong> introduces the dataset and explains the columns in the following files</li> <li><strong>2_Inventory_list.csv</strong> hosts the details of the inventories in this dataset</li> <li><strong>3_Inventory_items.csv</strong> contains the full transcriptions and categorical data of the objects in the inventories</li> <li><strong>4_Inventory_relationships.csv</strong> captures all the people mentioned in the inventories in the pre- or postscript and/or as debtors or creditors</li> <li><strong>5_Inventory_category_reference.csv</strong> provides a reference table for the ‘object_type’ and ‘object_category’ columns in 3_Inventory_items.csv</li> <li><strong>6_Inventory_subjectmatter_reference.csv</strong> offers a reference table for the ‘painting_subject’ and ‘painting_genre’ columns in 3_Inventory_items.csv</li> </ul> <p><strong>NB: This <em>Künstler-Inventare database </em>is a provisional version. The correction and final data process has not been fully finished in Version 1. The transcriptions might contain errors and need to be treated with caution. </strong></p> <p><strong> </strong></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.