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8 results for “Sharing Economy”

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zenodo44/100

Global scientific research commons under the Nagoya Protocol: Towards a collaborative economy model for the sharing of basic research assets

<p>This paper aims to get a better understanding of the motivational and transaction cost features of<br /> building global scientific research commons, with a view to contributing to the debate on the design of<br /> appropriate policy measures under the recently adopted Nagoya Protocol. For this purpose, the paper<br /> analyses the results of a world-wide survey of managers and users of microbial culture collections, which<br /> focused on the role of social and internalized motivations, organizational networks and external<br /> incentives in promoting the public availability of upstream research assets. Overall, the study confirms<br /> the hypotheses of the social production model of information and shareable goods, but it also shows the<br /> need to complete this model. For the sharing of materials, the underlying collaborative economy in<br /> excess capacity plays a key role in addition to the social production, while for data, competitive pressures<br /> amongst scientists tend to play a bigger role.</p>

opencc-zeroAug 2015View details →
zenodo36/100

Meshulam, Goldberg, & Makov, Sharing Economy Environmental Impacts

<p>Meshulam, T., S. Goldberg, and T. Makov. 2022. The environmental impacts of the sharing economy: A synthesis of empirical evidence. nDEE Framing Paper. Network for the Digital Economy and the Environment.</p> <p>The dataset includes&nbsp;a full&nbsp;list or papers included in the review, along with classification according to the different factors examined and environmental impact score assigned is available through the following link The Network for the Digital Economy.</p>

opencc-by-4.0Feb 2023View details →
dryad32/100

Data from: How many broadleaved trees are enough in conifer plantations? The economy of land sharing, land sparing, and quantitative targets

1. For biodiversity conservation to be an effective and significant social investment, non-marketed values of biodiversity conservation and its associated opportunity costs should be evaluated in monetary terms. 2. In this study, we measured the willingness to pay (WTP) for bird abundance using a choice experiment (CE) based on the random utility model. We performed a cost–benefit analysis to identify the optimal proportion of broad-leaved trees in conifer plantations on a volume basis to maximize the social benefits of bird conservation and wood production. 3. The results suggested that respondents to the CE were not satisfied with their current situation and preferred an increase in bird abundance. However, the estimated WTP indicated diminishing returns of bird conservation. More specifically, WTP first greatly increased before gradually experiencing decreasing marginal values, reaching its peak, and finally decreasing slightly with increasing bird abundance. 4. Optimization analyses indicated that when the relation between bird abundance and broad-leaved tree proportion was convex, semi-natural plantations with non-zero broad-leaved tree proportion (0.02–0.22) were always optimal options. When the relation was linear, optimal broad-leaved tree proportion ranged from 0 to 0.78 and was greatly affected by wood values. When the relation was concave, there were only two optimal broad-leaved tree proportions: a very high proportion (approximately 0.90) and the lowest possible proportion (0). When the convex and concave relations approached the linear form, comparable benefits could be attained across broad ranges of broad-leaved tree proportion both within and across the relations. In such cases, it would be useful to increase the likelihood of a feasible land-use strategy of either land sparing or land sharing in order to be successful. 5. Synthesis and applications. It can be difficult to set quantitative targets in biodiversity conservation solely on an ecological basis, and social benefits of biodiversity conservation can create diminishing returns in many situations. The framework we proposed shows how to reconcile resource production and biodiversity conservation in the real world.

opencc-zeroDec 2015View details →
zenodo32/100

Data for National carbon footprint estimations of an electrified internet of energy with circular economy under future EV market share prediction in China

<p>This dataset is created for National carbon footprint estimations of an electrified internet of energy with circular economy under future EV market share prediction in China.</p> <p>The dataset includes the energy demand for buildings of each province in China, the Centralized and Distributed PV-battery system design of each province in China, The EV and ICEV carbon emission comparison of each province in China, the electricity price in China, The Carbon footprint and NPV calculation of current and future building-transportation system in China.</p>

opencc-by-4.0Sep 2024View details →
dryad32/100

Data from: How many broadleaved trees are enough in conifer plantations? The economy of land sharing, land sparing, and quantitative targets

Open the record for dataset details and reuse information.

publicFeb 2017View details →
zenodo28/100

Building Customer Loyalty on Online Food Platforms: Sharing Economy Practices in Indonesia

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2024View details →
zenodo20/100

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.&nbsp;With funding granted by the European Commission&#39;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 &#39;the sharing economy&#39;.&nbsp;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.&nbsp;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.&nbsp;Our overarching objective is to identify key challenges of the sharing economy and improve Europe&rsquo;s digital services through providing recommendations to Europe&rsquo;s institutions.&nbsp;These will include schools and companies, as well as governmental and non-governmental organisations.&nbsp;</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.&nbsp;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>

restrictedDec 2017View details →
zenodo16/100

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.&nbsp;</p>

restrictedcc-by-sa-4.0Dec 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record