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5,027 results for “Culture”
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>
Genotype Data for "A genomic snapshot of demographic and cultural dynamism in Upper Mesopotamia during the Neolithic Transition"
<p>This repository contains genotype data from the article "<a href="https://www.science.org/doi/10.1126/sciadv.abo3609">A genomic snapshot of demographic and cultural dynamism in Upper Mesopotamia during the Neolithic Transition</a>". Dataset preparation protocols are described in the article. Here, we only include the genotype files of 13 newly published Çayönü samples in eigenstrat format.</p> <p>The 1KGYoruba suffix refers to the dataset prepared using variable positions in the Yoruba population (see the paper for details). Others are well known Human Origins and 1240K panels. </p> <p>Code and processed data related to the paper has been deposited <a href="http://doi.org/10.5281/zenodo.7086441">here</a>.</p> <p>* The first version has missing individuals. </p>
cultural-ai/wordsmatter: Words Matter: a knowledge graph of contentious terms
<p>The choice of words describing cultural heritage can cause debates. It is especially sensitive when artefacts relate to different cultures and peoples who have been historically marginalised. Words chosen by archivists or curators may transmit stereotypes. The cultural heritage community has produced knowledge on potentially stereotyping and offensive terminology in heritage collections. At the same time, their knowledge is difficult to incorporate into existing online collections unless this knowledge is structured and machine-readable.</p> <p>The Words Matter Knowledge Graph represents domain expert knowledge on discussions about contentious terminology in the cultural sector. In the knowledge graph, 75 English and 83 Dutch contentious terms are linked to explanations of their usage and suggested alternatives from domain experts. There are also related matches between contentious terms and sources from external datasets: Wikidata, Princeton WordNet, Open Dutch WordNet, and Getty Art & Architecture Thesaurus.</p> <p>This Zenodo publication includes the CULCO scheme used to model contentious terms in the knowledge graph. The scheme documentation is <a href="https://cultural-ai.github.io/wordsmatter/" target="_blank" rel="noopener">available on a separate page</a>.</p> <p>This knowledge graph is <a href="https://amsterdam.wereldmuseum.nl/en/about-wereldmuseum-amsterdam/research/words-matter-publication" target="_blank" rel="noopener">based</a> on the publication “Words Matter: An Unfinished Guide to Word Choices in the Cultural Sector” by the National Museum of World Cultures (NMVW). </p> <p><a href="https://doi.org/10.1007/978-3-031-33455-9_30" target="_blank" rel="noopener">Read more</a> about this work in the paper "A Knowledge Graph of Contentious Terminology for Inclusive Representation of Cultural Heritage" (2023) by Andrei Nesterov, Laura Hollink, Marieke van Erp & Jacco van Ossenbruggen.</p> <p>In this version:</p> <ul> <li>the CULCO scheme documentation is updated</li> <li>versioning is fixed</li> <li>typos are corrected</li> </ul>
Analytical Center of University Cultural Productions in the Context of the Conflict (caPAZ) - Temporality
<p>This dataset comprises a collection of journalistic articles written by young university students in Colombia, which is a product of the project: Analytical Center of University Cultural Productions in the Context of the Conflict (caPAZ), funded by the Ministry of Science, Technology and Innovation (Minciencias) and the National Center for Historical Memory (CNM) of Colombia (under the code: 1349-872-76354, agreement 872 of 2020) This corpus includes news written by the 24 colleges media of the Colombian Network of College Journalism from 2012 to 2016. The dataset includes digital news, for a total of <strong>589 </strong>news items related to the armed conflict, the memory of the victims and the peace process in Colombia. These news items were collected through a web-scraping technique, using 3 lemmatized keywords (conflicto armado, memoria de las víctimas y proceso de paz), with the aim of identifying these regular expressions in the logical operators that run through the HTML structure of each Web page</p>
Challenges of cultural heritage adaptive reuse: a stakeholders-based comparative study in three European cities. Dataset
<p>Dataset analysed in Pintossi, N., Ikiz Kaya, D., van Wesemael, P. J. V., & Pereira Roders, A. R. (2023). Challenges of cultural heritage adaptive reuse: A stakeholders-based comparative study in three European cities. Habitat International, 136, [102807]. https://doi.org/10.1016/j.habitatint.2023.102807.</p> <ul> <li>Date of data collection: a) 31/05/2018, b) 27/11/2018, and c) 28/03/2019</li> <li>Geographic location of data collection: a) Amsterdam, The Netherlands. The venue of the data collection was Pakhuis de Zwijger, Piet Heinkade 179, 1019 HC, Amsterdam, The Netherlands; b) Salerno, Italy. The venue of the data collection was Salone dei marmi, Palazzo di Città, via Roma, 84121 Salerno, Italy; and c) Rijeka, Croatia. The venue of the data collection is RiHub, Ul. Ivana Grohovca 1/a, 51000, Rijeka, Croatia.</li> <li>Activity of data collection: a) Historic Urban Landscape workshop 1 - Amsterdam. Held in Amsterdam, the Nethelands, on 30-31/05/2018; b) Historic Urban Landscape workshop 2 - Salerno. Held in Salerno, Italy, on 26-27/11/2018; and c) Historic Urban Landscape workshop 3 - Rijeka. Held in Rijeka, Croatia, on 28/03/2019.</li> <li>Aim of data collection: Multi-scale, participatory identification of challenges entailed in the adaptive reuse of cultural heritage and solutions to overcome these challenges.</li> <li>Methods for collection/generation of data: See the methodology section in a) Pintossi, N., Ikiz Kaya, D., & Pereira Roders, A. (2021). Identifying Challenges and Solutions in Cultural Heritage Adaptive Reuse through the Historic Urban Landscape Approach in Amsterdam. Sustainability, 13(10), 5547. https://doi.org/10.3390/su13105547; b) Pintossi, N., Ikiz Kaya, D., Pereira Roders, A. (2023). Cultural heritage adaptive reuse in Salerno: Challenges and solutions. City, Culture and Society, 33, 100505. https://doi.org/10.1016/j.ccs.2023.100505; and c) Pintossi, N., Ikiz Kaya, D., & Pereira Roders, A. (2021). Assessing Cultural Heritage Adaptive Reuse Practices: Multi-Scale Challenges and Solutions in Rijeka. Sustainability, 13(7), 3603. https://doi.org/10.3390/su13073603.</li> <li>Researchers facilitating roundtable discussion and writing down paper version of data: a) Gamze Dane, Antonia Gravagnuolo, Paloma Guzman Molina, Ana Pereira Roders, Nadia Pintossi, and Julia Rey-Perez; b) Marco Acri, Gaia Daldanise, Gamze Dane, Cristina Garzillo, Antonia Gravagnuolo, Lu Lu, Nadia Pintossi, and Ruba Saleh; and c) Marco Acri, Martina Bosone, Deniz Ikiz Kaya, Silvia Iodice, Lu Lu, and Nadia Pintossi.</li> <li>Language of the data: English.</li> <li>References: a) Pintossi, Nadia. (2021). Assessing cultural heritage adaptive reuse practices: multi-scale challenges and solutions in Rijeka. Dataset [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4518743; b) Pintossi, Nadia. (2020). Identifying challenges and solutions in cultural heritage adaptive reuse through the Historic Urban Landscape approach in Amsterdam. Dataset [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4250495; and c) Pintossi, Nadia. (2023). Cultural heritage adaptive reuse in Salerno: challenges and solutions. Dataset [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3925602</li> </ul> <p><br> </p>
Recommendation dataset for Cultural Heritage
<p>A set of 24 JSON files that each represents a recommendation category and contains a set of items with all necessary information as extracted by the <a href="https://cuhe.in-two.com/">CUHE</a> platform. For each of the items this file also contains the apiResponse element, which corresponds to the complete API response from <a href="https://www.europeana.eu/">Europeana</a>. The Europeana API description is available <a href="https://pro.europeana.eu/page/intro">here</a>, the apiResponse follows the EDM (Europeana Data Model) specification which is available <a href="https://pro.europeana.eu/page/intro#edm">here</a>.</p> <p>The <a href="https://cuhe.in-two.com/">CUHE project</a> has indirectly received funding from the European Union's Horizon 2020 research and innovation action programme, via the AI4Media Open Call #1 issued and executed under the <a href="https://www.ai4media.eu/">AI4Media project</a> (Grant Agreement no. 951911).</p>
Experimental Protocol on Creative Engagement and Meaning Creation in Interactive Experiences for Cultural Heritage. Tabular Data
<p>The following document contains the material produced for the testing of the "caring prototype" <em>MyTISSE</em>, an interactive user experience on Matisse's painting <em>Bathers by a rive</em>r (Art Institute of Chicago). Focusing on the change of the pigments made by the artist during the gestation of this canvas, the UX exploits creative engagement to catalyze meaning creation processes.</p> <p>This pubblication contains the data collected through the form. All the participants agreed to the reuse and sharing of these data for academic purposes, filling in an <em>ad hoc </em>privacy form.</p>
BG05 - Cultural - Gabrovo (Bulgaria)
<p>Data files for building: BG05 - Cultural - Gabrovo (Bulgaria)</p><p>Languages: Bulgarian, English</p><p>These files are part of the public benchmark repository created as a part of the crossCert EU project. </p><p>This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.</p><p>The files are organised in the following folders (note that not all files are always provided):</p><ol><li>Main data and Results, with:<ol><li>Neutral data inventory.</li><li>Neutral results report.</li><li>Original EPC certificate.</li></ol></li><li>Energy Consumption Data, with:<ol><li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li></ol></li><li>Drawings<ol><li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption models.</li></ol></li><li>Other Data<ol><li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li></ol></li><li>Dynamic Model<ol><li>Data to run a dynamic model of the building, if available.</li></ol></li></ol><p>The files have been redacted to exclude confidential information. </p>
(POST) Socio-economic and cultural dataset in relation to Persuasive Strategies to boost Energy Efficiency and in the UK, Spain, Greece and Austria
<p>The dataset has been created from obtaining post-pilot answers from 106 participants of four different countries in the EU (the questionnaire can be studied in <strong>GreenSoul_Validation_Questionnaire-POST.pdf</strong>). It is composed by several factors which are explained in<strong> POST-coding.ods </strong>file. All these factors are contained in: "<strong>POST-results-socio-economic-model.ods</strong>" and "<strong>POST-results-treatments-evaluation.ods</strong>" along with their answers by participants.</p> <p>Finally, we provided a cleaned version of the dataset to study how can a researcher is able to forecast the ranking that a user will give to different persuasion strategies according to user profiles: "<strong>POST-results-ranking-model.ods</strong>"</p>
Agenda Cultural Alcobendas - Open data website
<p>For this dataset, the data set of Agenda Cultural has been chosen, accessible through the following link: https://datos.alcobendas.org/dataset/2458d605-1fd0-4d16-a1ef-795bc243e152/resource/90836555-54b5-45af-ae67-e7545937f591/download/recurso.json</p> <p>We have chosen Alcobendas open data website: https://datos.alcobendas.org/ as it provides the exposed data sets are offered under open property licenses.</p> <p>For this dataset some of the fields provided by the json web have been selected: Temáticas, Barrio, Nombre del evento, Subtemas, FechaInicio, HoraInicio, FechaFin, HoraFin, Tipos, Perfiles y URL_Ficha.</p>
ERC Locus Ludi. Play and Games in Antiquity. Reception des jeux dans la culture ludique neogrecque
<p>Salvatore Costanza, classical philologist, is a well-known specialist in ancient divination and of ludic practices. He investigates, in this talk, the continuities of ancient greek practices in neogreek.</p> <p>Movie/Music: <a href="https://www.edwanmusic.com/">https://www.edwanmusic.com/</a></p> <p>More about: www.locusludi.ch</p>
Evaluation of MALDI‐ToF Mass Spectrometry for Rapid Detection of Cereulide from Bacillus cereus Cultures - MALDI-ToF Mass Spectra
<p>Datasets in support of the <em>bioRxiv </em>submitted paper Doellinger et al. (<strong>2019</strong>) "<em>Evaluation of MALDI‐ToF Mass Spectrometry for Rapid Detection of Cereulide from Bacillus cereus Cultures"</em> - MALDI-ToF Mass Spectra.</p> <p>The experiment and sample description and spectra numbering is consistent with the publication. Mass spectral data files are provided as unprocessed raw data in the manufacturer's original data format (Bruker Daltonics). Data is compressed using the freely available 7zip software.</p> <p><strong>Content:</strong></p> <p><em><strong>Figure 1.zip</strong></em>: Cereulide detection in <em>B. cereus</em> samples cultivated using different cultivation media and different sample preparation, or cereulide extraction methods.</p> <p><em><strong>Figure 2.zip</strong></em>: Effectivity of cereulide extraction by different solvents from <em>B. cereus</em> F4810/72 colony material.</p> <p><em><strong>Figure 3.zip</strong></em>: MALDI LIFT-ToF /ToF MS spectrum of cereulide.</p> <p><em><strong>Figure 4.zip</strong></em>: Determination of the limit of detection (LOD) of cereulide by MALDI- and LDI-ToF</p> <p><em><strong>Table 1.zip</strong></em>: Analysis of cereulide in <em>B. cereus</em> strains by MALDI-ToF MS.</p> <p><em><strong>Fig.SI.01.zip: </strong></em> Ultraperformance Liquid Chromatography – Mass Spectrometry (UPLC-MS/MS) analysis of ethanolic washing solutions of <em>B. cereus</em> F4810/72.</p> <p><em><strong>Fig.SI.02.zip:</strong></em> A selection of MALDI-ToF and LDI-ToF technical replicate mass spectra obtained from a commercial cereulide standard.</p> <p><em><strong>Fig.SI.03.zip:</strong></em> Limit of detection (LOD) of cereulide determined by MALDI- and LDI-ToF MS of ethanol wash solutions from <em>B. cereus</em> ATCC 10987 spiked by a cereulide standard. </p> <p><em><strong>Fig.SI.04.zip:</strong></em> Direct cereulide detection by means of MALDI- (panels <strong>A</strong>-<strong>F</strong>) and LDI-ToF MS (panels <strong>G</strong>-<strong>M</strong>) in linear and reflectron measurement mode.</p>
Full summary statistics of mixQTL for GTEx v8 Cells_Cultured_fibroblasts
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Closure of the 9th European Summer University in Digital Humanities "Culture & Technology"
<p>Closure of the 9th European Summer University in Digital Humanities "Culture & Technology"</p>
Opening of the 9th European Summer University in Digital Humanities "Culture & Technology"
<p>Opening of the 9th European Summer University in Digital Humanities "Culture & Technology"</p>
Point, polygon, or marker? In search of the best geographic entity for mapping Cultural Ecosystem Services using the online PPGIS tool, "My Green Place."
<p>Excel files include the raw database and the processed data that led to the quadrat analyses. The "Matrix_raw data" file includes the raw data as downloaded from the server. This data was cleaned and organized for its posterior use. "Quadrat analyzes "file includes all the quadrat analyses resulting in each research question in the paper except question four. Question 4 can be seen in the file "Water analysis_Blaarmeersen." All excel files come with a "CODE" tab that describes each of the codes used, their meaning, and ways that were calculated where necessary. Two zip files include all the GIS files. The first one includes the GIS files from which "Matrix_raw data" was built from. The second folder includes the resulting maps from the quadrat analyses. In order to visualize them as in the paper, configure the symbology tab at the GIS software in quantile and the categories number, as shown in the paper.</p> <p>The production of the files in the "GIS_Processed data" folder was done via a repetitive line of commands in ArcGIS pro. The same process was followed for each one of the quadrat analysis described in the paper. Refer to "<a href="https://zenodo.org/api/files/72403e0b-78a9-4bbf-8dca-ed9b8702e3ae/Reproduction%20commands%20and%20parameters.pdf">Reproduction commands and parameters.pdf</a>" for further information.</p>
FIGURE 1. Notozothecium janauachensis n in Notozothecium janauachensis n. sp. (Monogenoidea: Dactylogyridae) from wild and cultured tambaqui, Colossoma macropomum (Teleostei: Characidae: Serrasalminae) in Brazil
FIGURE 1. Notozothecium janauachensis n. sp. 1. Composite illustration of adult, ventral view of specimen from the natural habitat. Scale bar 50 m.
Underlying and Extended Data for Refined and benchmarked homemade media for cost-effective, weekend-free human pluripotent stem cell culture
<p>Extended Data and raw data for the manuscript "Refined home-brew media for cost-effective, weekend-free hiPSC culture and genetic engineering"</p> <p> </p> <p dir="ltr">Extended Data 1.zip - protocol for preparation of the supplement for hE8 and B8+ media</p> <p dir="ltr">Extended Data 2.zip - Gene counts, supporting files, and output results of bulk analyses</p> <p dir="ltr">Extended Data 3.zip - Images of iPS cells adapted to cE8, hE8 and B8+ taken 24, 48 and 72 hours after passage. Contains raw .tiff files for each image and a .pdf with a compiled figure</p> <p dir="ltr">Extended Data 4.zip - Results of miloR analysis on the differences in the distribution of cells adapted to cE8, hE8 and B8+ to assigned monocle clusters </p> <p dir="ltr">Manuscript Data.zip – Raw data underlying the Figures 1, 2, 4, 5, 6 and 7.</p> <p>Bulk_RNA_seq_archive – archived source code used for generating results in Figure 3</p>
Data for: A path forward: creating an academic culture of justice, equity, diversity and inclusion
<p>Institutions of higher education (IHE) throughout the United States have a long history of acting out various levels of commitment to diversity advancement, equity, and inclusion (DEI). Despite decades of DEI "<em>efforts</em>," the academy is fraught with legacies of racism that uphold white supremacy and prevent marginalized populations from full participation. Furthermore, politicians have not only weaponized education but passed legislation to actively ban DEI programs and censor general education curricula (<a href="https://tinyurl.com/antiDEI">https://tinyurl.com/antiDEI</a>). Ironically, systems of oppression are particularly apparent in the fields of Ecology, Evolution, and Conservation Biology (EECB)–which recognize biological diversity as essential for ecological integrity and resilience. Yet, amongst EECB faculty, people who do not identify as cis-heterosexual, non-disabled, affluent white males are poorly represented. Furthermore, IHE lack metrics to quantify DEI as a priority. Here we show that only 30.3% of US-faculty positions advertised in EECB from Jan 2019-May 2020 required a diversity statement; diversity statement requirements did not correspond with state-level diversity metrics. Though many announcements "encourage women and minorities to apply," empirical evidence demonstrates that hiring committees at most institutions did not prioritize an applicant's DEI advancement potential. We suggest a model for change and call on administrators and faculty to implement SMART (i.e., Specific, Measurable, Achievable, Realistic, and Timely) strategies for DEI advancement across IHE throughout the United States. We anticipate our quantification of diversity statement requirements relative to other application materials will motivate institutional change in both policy and practice when evaluating a candidate's potential "fit". IHE must embrace a leadership role to not only shift the academic culture to one that upholds DEI, but to educate and include people who represent the full diversity of our society. In the current context of political censure of education including book banning and backlash aimed at Critical Race Theory, which further reinforce systemic white supremacy, academic integrity and justice are more critical than ever. </p>
SWAT river water, TN & TP loads to Limfjorden under climate change scenarios (Delta change) + baseline SWAT loads 2009-2018. Paper ". Impacts of climate change on water quality, benthic mussels and suspended mussel culture in a shallow, eutrophic estuary by Maar et al. Heliyon,
<p>SWAT river water, TN & TP loads to Limfjorden under climate change scenarios (Delta change) + baseline SWAT loads 2009-2018 </p>
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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.