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ShareScore release 0.9.0
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243 results for “Economy”
Cellular economy in fission yeast cells continuously cultured at limited nitrogen resources
GEO Series GSE68173. Schizosaccharomyces pombe. 16 samples. Type: Expression profiling by array.
Factors influencing the adoption of FinTech services by centennials in emerging economies
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ANALYSIS OF THE CAUSES OF ACCIDENTS IN GAS PIPELINES TRANSPORT, NATIONAL ECONOMY AND MAIN PIPELINES
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Ps2Share – Participation, Privacy, and Power in the Sharing Economy
<p>This data set contains:</p> <ul> <li>Cleaned data files of the 2017 survey on participation, privacy, and power in the sharing economy across 12 countries. Data are in sav (for SPSS), xlsx, and csv format.</li> <li>Survey questionnaires in 10 languages (zipped PDFs)</li> <li>Methodological Appendix</li> </ul> <p>This <strong>EU Horizon 2020 Research Project: Ps2Share</strong> was concerned with questions of participation, privacy, and power in the sharing economy. With funding granted by the European Commission's Horizon 2020 Growth Strategy, this one-year research project was conducted by a consortium of international researchers from Norway, Germany, The Netherlands, Italy, Denmark, and Switzerland.</p> <p>The emergence of innovative platforms has extended the notion of online sharing to the vibrant new domain of sharing of material goods and services. We call this phenomenon 'the sharing economy'. With companies such as Airbnb, Uber, Taskrabbit, and Transferwise dominating the market, user numbers of sharing services have skyrocketed and expect to grow further, enabling ever new avenues of economic and social interaction to appear.</p> <p>The sharing economy promises to provide more inclusive business opportunities for individuals of various skills levels and resource endowment. However, the public rhetoric of chances, growth, and inclusion frequently contrasts with the risks, concerns, disadvantages, and exclusion in the experience of a variety of users. These platforms, extending into the private and physical realm of their users, create compound privacy risks and increase the potential for exclusion and discrimination through ratings-based sanctioning. In facing the ongoing growth of the sharing economy, we are presented with a variety of challenges, which need to be addressed.</p> <p>With our research, we hope to facilitate public deliberation on desirable practices and policies. Our overarching objective is to identify key challenges of the sharing economy and improve Europe’s digital services through providing recommendations to Europe’s institutions. These will include schools and companies, as well as governmental and non-governmental organisations. </p> <p>In constructing policy, we aim to provide steps toward more modern regulatory and policymaking approaches, helping to create a more balanced digitized economy that is socially acceptable to all. We aim to foster better awareness of the consequences which technologies, networks, and new digital media have on the way people behave, think, interact, and socialise as persons, citizens, workers, and consumers across Europe.</p> <p>Further information and reports can be found at www.ps2share.eu</p> <p>Contact:</p> <p>Professor Christian Fieseler, BI Norwegian Business School, christian.fieseler@bi.no</p>
Exploring the Impact of Circular Economy on the Long-term Allocation Structure of Primary and Secondary Lithium
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Literal interviews (The Mutual Influence between Entrepreneurial Marketing and Causal and Effectual Entrepreneurship: An Empirical Study in an Emerging and Developing Economy)
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ECONOMY DEVELOPMENT STRATEGY
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FIGURE 8 in To name or not to name: Criteria to promote economy of change in Linnaean classification schemes
FIGURE 8. Fictitious example of a choice between two alternative classifications on the basis of the Nomenclatural Stability TNC. The large tree on the left represents the current classification and the result of a phylogenetic analysis. Black circles denote clades that are phenotypically clearly diagnosable and of highly stable monophyly; white circles are of highly stable monophyly but low phenotypic diagnosability. The clear paraphyly of Mysteromantis mandates a change in classification. Both alternative classifications (on the right) lead to phenotypically diagnosable and monophyletic units. However, the second alternative revalidates a genus Incertomantis of unstable nomenclatural status, e.g. because its type species is based on a lost holotype and incomplete description, or on a holotype in very poor state of preservation. It is therefore probable that Incertomantis will be completely redefined in the future, and therefore it is not advisable to choose a classification in which this taxon is resurrected.
A Method of Water Resources Accounting Based on Deep Clustering and Attention Mechanism under the Background of Integration of Public Health Data and Environmental Economy
<p>A dataset and code for paper</p>
raw data and code: Climate deterioration and subsistence economy in prehistoric southern Iberia: an evaluation of potential links based on regional trajectories
<p>Here the raw data and R code for reproducing the study 'Climate deterioration and subsistence economy in prehistoric southern Iberia: an evaluation of potential links based on regional trajectories' of Schirrmacher et al. submitted to PlosOne in July 2023 are archived.</p>
Effect of Presentation Format on Decision-Making in the Sharing Economy
<p>The coding rules and interpretations for each variable are provided in the comments attached to their respective column names. </p>
CENTRINNO_Pilots' Context Analysis (Doughnut Economy Graphics)
<p>These graphics visualize collected data on urban ecosystems for nine CENTRINNO pilots. Based on the Doughnut Economy model developed by Kate Raeworth, we adapted the approach to map the baseline/ context of urban ecosystems across eight pillars. </p>
Circular Economy Indicators Database
<p>This database contains indicators that are related to the Circular Economy. The database uses secondary statistics collected from official information sources (Eurostat, OECD, Statistics Lithuania, etc.). Detailed statistical data (the case of Lithuania) related to the activities of the new modules sector, the recycling sector, the refurbishing sector (production value, labour hours, producer price indices, value added, gross operating surplus) were collected from Statistics Lithuania. Data for both Lithuania and other European Union countries have been collected from other databases (Eurostat, World Bank, OECD, European Environment Agency (EEA), etc.), which are grouped in the database into the following groups of indicators: Technology and Innovation (business expenditure on research and experimental development, imports in R&D-intensive industries, patents, value-added in the high-tech sector), Energy Production and Consumption (oil prices, renewable energy sources), Environmental Protection (greenhouse gas emissions, global temperature), Waste Generation and Management (all waste, municipal waste, recyclable waste, recycling of packaging waste), Secondary raw materials (circular material use rate, import and export of recyclable raw materials), Competitiveness in the Circular Economy Sectors (value added, private investments, persons employed in circular economy sectors), General Macroeconomic Indicators (gross domestic product , intermediate, final consumption, labour force, hours worked, wages, household income). The database also contains auxiliary data used in the calculations (GDP deflator, exchange rate).</p> <p>Information from the subscribed database must be used <strong>only for scientific, study or educational purposes</strong>. Information can be copied (transferred to a computer, printed and etc.) only in small amounts. It is strictly prohibited to copy information completely, to transfer data to third parties, upload to Internet or use for commercial purposes.</p>
French Historical GIS, 1700-2020. Administrative units, Populations, Transports, Economy
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Lousonna: the activities and economy of an ancient town, Small finds dataset, Intermediate repository for completed data
<p>Lousonna: the activities and economy of an ancient town through an archaeological and digital study of its finds (Lausanne, Switzerland)</p> <p>An SNSF-funded project (Swiss National Science Foundation) : Lousonna: activités et économie d'une ville antique par l'étude archéologique et numérique de ses mobiliers. - Intermediate repository for completed data. Main language: French</p> <p>These datasets are the product of a research group funded by the SNSF. They include all the coins, glass objects and metallic or non-metallic artefacts known as small finds discovered during excavations in the town of Lousonna (ancient Lausanne, Switzerland) between 1850 and 2020. A table describing the contexts of discovery is included along with three tables dedicated to the finds.<br> These data were produced between 2015 and 2023, using a common methodology for documenting archaeological finds.<br> Photographs, technical drawings and geomatic projections are not included here, but can be requested from the authors. The data are produced by the authors directly from the artefacts. The interactive projections will be available according to FAIR principles on the ArkeoGIS platform by 2026.<br> It can be considered as 99% complete. The remaining 1% will take years to complete. A second deposit will then be made.<br> The research to which they relate is still in progress as part of three PhD: A. Crausaz : Small finds from Lousonna ; N. Consiglio : Coinage in Roman Settlements in Western Switzerland ; F. Pirrami : Roman Glass Artefacts from Vidy, Yverdon and Nyon.<br> At the end of these three PhD (2026), all the raw data will again be uploaded and made available in a definitive form. If authorized by the public research bodies, the data will be made available under a public open licence.</p>
Circular economy production policies and the Impact on labour market questionnaire and data
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Research on the impact of the digital economy on narrowing the gap between urban and rural areas—An empirical analysis based on provincial panel data
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Atlantic Trade and the European Economy
Bibliographic essay on "Atlantic Trade and the European Economy"
Data from: Barriers and Enablers to a Circular Economy in Small Island Destinations: The Case of the Orkney Islands, Scotland
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DATA and CODE for When circular economy meets global disruption: Micro-level effects of the Covid-19 pandemic on copper scrap trading
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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.