Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
123
datasets available to search
ShareScore release 0.9.0
Dataset results
123 results for “Tourism”
Learning from innovation failure in tourism - five most common pitfalls
<p>Through in-depth interviews the EU INNOVATE research project has highlighted multiple types of risks that innovative entrepreneurs in tourism could not overcome, and critical events and factors at different stages. Critical factors are: financial (persistent financial under-performance and impossibility to secure private investment), customer-related factors (lack of market credibility and trust, lack of understanding of the value proposal, insufficient funding for innovation diffusion, etc.) and insufficient knowledge (of the tourism sector or innovation/managerial key skills).</p> <p>Some of these issues have been summarized in a video format to reach a wider audience of practitioners and policy makers. The aim of this video is to highlight in an accessible and humorous way the <em>most common critical mistakes and factors </em>reported by real-life entrepreneurs participating in the research, mistakes either leading to failure or making the process more difficult. With this video, the researchers aim to disseminate their research findings and reach current and potential entrepreneurs to remind them about the importance of a proactive and active management of common potential risks. The video also brings teaching opportunities to academics lecturing entrepreneurship and innovation in tourism in order to attract their students’ interest and shape their future careers as potential entrepreneurs.</p>
LEARNING FROM INNOVATION FAILURE IN TOURISM: ADVICE AND LESSONS
<p>Through in-depth interviews the EU INNOVATE research project has highlighted multiple types of risks that innovative entrepreneurs in tourism could not overcome, and critical events and factors at different stages. The aim of this video is to review some of the key lessons reported by real-life entrepreneurs participating in the research who failed to succeed. Failing to succeed with an innovative entrepreneurial venture is a painful but valuable learning opportunity. Some lessons might seem obvious but they are real-life examples which illustrate how easy it is to overlook them in practice. With the video the researchers aim to translate the research findings into a language and format that can reach potential entrepreneurs to remind them about the importance of a proactive and active management of common potential risks. The video also brings teaching opportunities to academics lecturing entrepreneurship and innovation in tourism in order to attract their students’ interest and shape their future careers as potential entrepreneurs.</p> <p> </p>
Fig. 4 in Assemblages of carabid beetles (Coleoptera: Carabidae) as zoo-indicator of water tourism impact on forest - lake ecotones
Fig. 4. Cluster analysis of the study sites (euclidic distances, Ward˙s method) based on carabid beetle assemblages
Fig. 3 in Assemblages of carabid beetles (Coleoptera: Carabidae) as zoo-indicator of water tourism impact on forest - lake ecotones
Fig. 3. Model of state of carabid beetle assemblages in pine woodlands (B) and alder woodlands (A) in control area (0), medium pressure (1) and high pressure (2).
Fig.2 in Assemblages of carabid beetles (Coleoptera: Carabidae) as zoo-indicator of water tourism impact on forest - lake ecotones
Fig.2. Whittaker diagrams of species-abundance of carabid species in alder woodland (left side) and pine woodlands (right side).
Amharic visual question answering on Ethiopian tourism
<p>Visual Question Answering (VQA) is a Vision-to-Text (V2T) task that integrates visual <br>features of images with natural language questions to generate meaningful responses. <br>Most existing research has focused on English, leaving a significant gap for other <br>languages, including Amharic. Tourism, a major global industry, relies heavily on <br>interactions where visitors seek information about natural, historical, cultural, and <br>religious sites. Ethiopia is a remarkable tourist destination, home to unique sites such as <br>the Rock-hewn churches of Lalibela and the Castles of Gondar, as well as natural <br>phenomena like Simien National Park and Lake Tana. Most visitors are local, creating an <br>urgent need for a VQA model that can deliver accurate, culturally relevant information in <br>Amharic. Unfortunately, no such model currently exists to assist tourists at these heritage <br>sites. This research addresses this gap by developing an Amharic Visual Question <br>Answering model specifically tailored for Ethiopian tourism. A new Amharic VQA <br>dataset was created using 2,200 diverse images from Ethiopian tourist sites paired with <br>6,600 questions in Amharic, covering natural landmarks, historical sites, and religious <br>celebrations. Our dataset is collected from various sources, including the UNICCO <br>website, the Amhara Tourism office, and online platforms such as Facebook, Free pixel, <br>and Instagram. Each image is complemented by three corresponding questions <br>formulated by three individual experts and answered by ten candidates. The questions, <br>answers, and images are linked through annotations and fed into the model. We used <br>ResNet-50 for feature extraction and Bidirectional Gated Recurrent Unit (BiGRU) with <br>attention mechanisms, achieving a testing accuracy of 54.98%, demonstrating the model's <br>effectiveness in answering questions about Ethiopian heritage. We will expand this <br>research using external knowledge to gat answer and description beyond image and <br>custom object detection</p>
Datasets for "A Bibliometric Study of Medical Tourism" paper
<p>This datasets is used during the "<strong>A Bibliometric Study of Medical Tourism</strong>" study. The data were collected from the SCOPUS database. A title search on SCOPUS based on the search term retrieved 1,535 documents consisting of 969 Articles, 197 book chapters, 102 review papers, 83 conference papers, while the rest were notes, letter, editorials, short surveys, books, and erratum. . The timespan covered ranged from 1<sup>st</sup> of 1952 to 2020.</p>
Survey Content Urban Waste Tourism Workers
<p>This dataset includes data from a survey developed by URBANWASTE in the framework of WP3. In particular this dataset includes the answer from tourism workers surveyed in 11 pilot cases - Florence (IT), Nice (FR), Lisbon (PT), Syracuse (IT), Copenhagen (DK), Kavala (GR), Santander (ES), Nicosia (CY), Ponta Delgada (PT), Dubrovnik – Neretva county (HR), Tenerife (ES)- in Europe to investigate the efficiency of waste management system and structure in their pilot case and to understand the possible influence of tourism on waste management and production.</p>
All of the same type? The use of 'welfare tourism' to limit the access of EU migrants to social benefits in the UK and Germany 2021
<p><em>List of documents analyzed for book chapter: Gago, Angie (2021) All of the same type? The use of ‘welfare tourism’ to limit the access of EU migrants to social benefits in the UK and Germany </em>In<em> "Social Policy Review 33", edited by Pomati, Marco, Andy Jolly and James Rees, 203-222. Bristol: Bristol University Press, 2021</em></p>
Biodiversity and infrastructure interact to drive tourism to and within Costa Rica
Open the record for dataset details and reuse information.
Supplementary Material of the paper entitled "Governing Digital Twin technology on smart and sustainable tourism"
<p>In this document, we provide some supplementary material of the paper entitled “Governing Digital Twin technology on smart and sustainable tourism’’.</p> <p>Rahmadian, E., Feitosa, D., Zwitter, A. (2022). Governing Digital Twin technology on smart and sustainable tourism.</p>
Week 2 - Technology based tourism in future
<p><strong>Video for Week 2 ICT Tourism & Hospitality</strong></p> <p>How techonology will affect the tourism in the future</p>
Photos de l'office du tourisme d'Equihen
<p>Photos destinées à montrer l'organisation de l'office du Tourisme à Equihen. Les photos ont été prises en mai 2017.</p>
Dataset Bibliometric - Smart Tourism and Sustainability Tourism
<p>The dataset contains a collection of articles related to smart tourism and sustainable tourism in the Scopus database from 2010-2024.</p>
Resources for BMF CP 83: Information seeking, recommendation mechanism, and space tourism intention
<p><span>The current study is conducted to examine the following research questions:</span></p> <ul> <li><span>What information sources on social media are associated with the general intention to try space tourism?</span></li> <li><span>Does the automatically recommended information moderate the associations between multiple sources of information and the intention to try space tourism?</span></li> </ul>
Resources for BMF CP 84: Gender, age, income, immersiveness, and space tourism intention
<p><span>The current study is conducted to examine the following research questions:</span></p> <ul> <li><span>How are gender, age, and income associated with the intention to try space tourism?</span></li> <li><span>How are gender, age, and income associated with the intention to try space tourism when conditional on the level of immersiveness in information on social media?</span></li> </ul>
Resources for BMF CP 82: Space tourism, information trustworthiness, usefulness, and immersiveness
<p><span>The current study is conducted to examine the following research questions:</span></p> <ul> <li><span>How are information trustworthiness, usefulness, and immersiveness associated with the general intention to try space tourism?</span></li> <li><span>Does the uncertainty of information (proxied by information trustworthiness) moderate the associations between information usefulness, immersiveness, and the general intention to try space tourism?</span></li> </ul>
UBB_Quantitative data_Biocultural Tourism
<p>Within WP2, “Case studies of transformative biodiversity practices”, UBB developed a questionnaire. The objective is to observe what variables influence the intention to have a biocultural touristic experience in a High Nature Value (HNV) area. The dependent variable is the “intention to have a biocultural touristic experience in an HNV area”. In developing the questionnaire, we started with the variables included in Ajzen’s Theory of Planned Behavior (attitude, subjective norm, perceived behavioral control, and intention). We extended the original model by adding the following variables: knowledge, awareness of HNV, values, trust in the authenticity of the biocultural experience, perception of the contribution of a touristic experience in HNV, and demographics. The questionnaire serves as a tool for the BIOTraCes community and beyond. It provides a data-driven foundation for understanding and influencing tourists’ intentions and promotes sustainable and transformative biodiversity practices in HNV areas.</p>
Data from: Feeding sites promoting wildlife-related tourism might highly expose the endangered Yunnan snub-nosed monkey (Rhinopithecus bieti) to parasite transmission. DOI: 10.1038/s41598-021-95166-5
<p>An increasing number of studies have found that the implementation of feeding sites for wildlife-related tourism can affect animal health, behaviour and reproduction. Feeding sites can favour high densities, home range overlap, greater sedentary behaviour and increased interspecific contacts, all of which might promote parasite transmission. In the Yunnan snub-nosed monkey (Rhinopithecus bieti), human interventions via provisioning monkeys at specific feeding sites have led to the sub-structuring of a group into genetically differentiated sub-groups. The fed subgroup is located near human hamlets and interacts with domesticated animals. Using high-throughput sequencing, we investigated Entamoeba species diversity in a local host assemblage strongly influenced by provisioning for wildlife-related tourism. We identified 13 Entamoeba species or lineages in faeces of Yunnan snub-nosed monkeys, humans and domesticated animals (including pigs, cattle, and domestic chicken). In Yunnan snub-nosed monkeys, Entamoeba prevalence and OTU richness were higher in the fed than in the wild subgroup. Entamoeba polecki was found in monkeys, pigs and humans, suggesting that this parasite might circulates between the wild and domestic components of this local social–ecological system. The highest proportion of faeces positive for Entamoeba in monkeys geographically coincided with the presence of livestock and humans. These elements suggest that feeding sites might indirectly play a role on parasite transmission in the Yunnan snub-nosed monkey. The implementation of such sites should carefully consider the risk of creating hotspots of disease transmission, which should be prevented by maintaining a buffer zone between monkeys and livestock/humans. Regular screenings for pathogens in fed subgroup are necessary to monitor transmission risk in order to balance the economic development of human communities dependent on wildlife-related tourism, and the conservation of the endangered Yunnan snub-nosed monkey.</p>
MARINE DEBRIS ACCUMULATION ON THE BEACH OF TASIK RIA LOCAL TOURISM DESTINATION NORTH SULAWESI INDONESIA
<p><strong>Abstract. </strong>Marine debris is a global issue and a hot topic in Indonesia. This study involved collecting and quantifying various types of debris at Tasik Ria Beach. The study area is Tasik Ria Beach, a small local tourist destination in Minahasa and Manado areas, with high biodiversity and an essential source of seagrass providing significant and vital habitat for endangered species. Debris was collected on sandy beach and mud beach areas between May and August 2022. The results indicated that ceramic and glass debris was found in the greatest number followed by plastic and other debris, thin plastic, and hard plastic. The major contributing factor to the debris abundance in Tasik Ria beach was the shoreline and recreational activities which showed that the land-based sources provided major inputs of plastic pollution at the beaches. The Clean Coastal Index (CCI) calculation of Tasik Ria Beach yielded a result of 5.8 at the sandy beach whereas at the mud beach was 0.65. Thus, the sandy beach was classified as moderately clean and the mud beach was classified as very clean. </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.