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Dataset results
224 results for “Cultural adaptation”
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>
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>
20230523-VBCE: Agents adapt ontologies to agree on decision taking. Introducing cultural values
<p>This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment.</p> <p>Experiment Label: 20230523-VBCE</p> <p>Experiment design: Agents adapt ontologies to agree on decision taking. Introducing cultural values (independece, novelty, authority, mastery) that influence which agent adapts in case of interaction failure.</p> <p>Experiment setting: Agents learn decision trees (transformed into ontologies); get payoffs according to cultural values; adapt by splitting their leaf nodes</p> <p>Hypotheses: Positive mastery is needed for increasing accuracy. Negative independence causes the success rate to converge faster. Negative novelty increases ontology distance. Positive authority increases accuracy when used with positive mastery.</p> <p>Detailed information can be found in index.html or notebook.ipynb.</p> <p>[1] https://sake.re/20230523-VBCE<br> [2] https://gitlab.inria.fr/moex/lazylav/</p>
Culturally and Linguistically Adapted Physical Activity Intervention for Latinas
ClinicalTrials.gov study NCT02630953. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Validation and Cross-cultural Adaptation of Croatian SECEL Questionnaire
ClinicalTrials.gov study NCT05346237. IPD Sharing: NO. Countries: 1. Publications: 7.
Family Connections: Cultural Adaptation and Feasibility Testing for Rural Latino Communities
ClinicalTrials.gov study NCT04731506. IPD Sharing: YES. Countries: 1. Publications: 1.
Web-based Addiction Treatment: Cultural Adaptation With American Indians
ClinicalTrials.gov study NCT03363256. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Cross-cultural Adaptation of the Toxic Masculinity Scale Among Indonesian Nursing Students: A Psychometric Testing
ClinicalTrials.gov study NCT07192406. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
Adaptation Plan for Culturally Competent Care (PAACI) in the Acute Psychiatric Unit.
ClinicalTrials.gov study NCT06879093. IPD Sharing: NO. Countries: 1. Publications: 5.
Fear of Cancer Recurrence Therapy (FORT): Turkish Cultural Adaptation and Implementation Project
ClinicalTrials.gov study NCT06676228. IPD Sharing: NO. Countries: 1. Publications: 1.
Culturally-Adapted Diet for Puerto Rican Adults
ClinicalTrials.gov study NCT03975556. IPD Sharing: YES. Countries: 1. Publications: 1.
A Cultural Adaptation of the Caregiver TLC Psychoeducational Program to Support Latino Caregivers (CUIDANDO JUNTOS)
ClinicalTrials.gov study NCT06394388. IPD Sharing: NO. Countries: 1. Publications: 0.
Phil Trans B special issue: Climate change adaptation needs a science of culture
Open the record for dataset details and reuse information.
Data from: The relative roles of cultural drift and acoustic adaptation in shaping syllable repertoires of island bird populations change with time since colonization
In birds, song divergence often precedes and facilitates divergence of other traits. We assessed the relative roles of cultural drift, innovation and acoustic adaptation in divergence of island bird dialects, using silvereyes (Zosterops lateralis). In recently colonized populations, syllable diversity was not significantly lower than source populations, shared syllables between populations decreased with increasing number of founder events and dialect variation displayed contributions from both habitat features and drift. The breadth of multivariate space occupied by recently colonized Z. l. lateralis populations was comparable to evolutionarily old forms that have diverged over thousands to hundreds of thousands of years. In evolutionarily old subspecies, syllable diversity was comparable to the mainland and the amount of variation in syllable composition explained by habitat features increased by two- to three-fold compared to recently colonized populations. Together these results suggest that cultural drift influences syllable repertoires in recently colonized populations, but innovation likely counters syllable loss from colonization. In evolutionarily older populations, the influence of acoustic adaptation increases, possibly favoring a high diversity of syllables. These results suggest that the relative importance of cultural drift and acoustic adaptation changes with time since colonization in island bird populations, highlighting the value of considering multiple mechanisms and timescale of divergence when investigating island song divergence.
Translation, cross-cultural adaptation, and evaluation of psychometric properties of cystic fibrosis stigma scale
<pre>Search database</pre>
Cross-cultural adaptation and preliminary validation of the Young Children Participation and Environment Measure (YC-PEM) to use in Spain
<p>This research was funded by the Spanish Ministry of Science and Innovation, the State Research Agency, 10.13039/501100011033, and ERDF “A way of making Europe” (Grant: PID2021-126782OA-100) received by Verónica Robles García, the Official College of Physiotherapists of Galicia and Irene González-Eiroa received a grant from the ED481A 2022/056, Spain. </p>
Results Data for the Circular City and Adaptive Reuse of Cultural Heritage Opportunity Index
<p>The data file provides the results data for the article, "Circular City and Adaptive Reuse of Cultural Heritage Index: Measuring the Investment Opportunity in Europe" written by Dr. Gillian Foster and Dr. Ruba Saleh.</p>
Turkish Language and Cross-cultural Adaptation of the Cumberland Ankle Instability Tool
ClinicalTrials.gov study NCT05977660. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The Effectiveness of Culturally Adapted Cognitive Behavioral Intervention Among COVID-19 Survivors
ClinicalTrials.gov study NCT04949061. IPD Sharing: NO. Countries: 1. Publications: 7.
Cross-Cultural Adaptation, Validity and Reliability of the Turkish Version of the Adolfsson-Björnsson Upper Extremity Activity Scale (ABAS)
ClinicalTrials.gov study NCT06715397. IPD Sharing: NO. Countries: 1. Publications: 3.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.