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243 results for “Economy”
Data of paper entitled "The Impact of Financial Influencers, Social Influencers, and FOMO Economy on the Decision-Making of Investment on Millennial Generation and Gen Z of Indonesia"
<p>The repository contains:</p> <ol> <li>Result of inner model of PLS</li> <li>Result of outer model of PLS</li> <li>Questionnaire result</li> </ol>
Wind Value: First Conference 2022, Circular Economy for Wind, Anne Velenturf, Video
<p>Video of 34 Minds and 54 seconds, on A Sustainable Circular Economy for Wind: The Bigger Picture, from Anne Velenturf of the Univesity of Leeds. Anne is a leading scholar in the circular economy.</p>
Thermophysical properties of hydrogen mixtures relevant for the development of the hydrogen economy: Review of available experimental data and thermodynamic models
<p>File: 1-s2.0-S096014812201271X-mmc1.docx</p> <p>This file (DOCX) contains additional figures associated with the hydrogen-containing systems.</p> <p>File: 1-s2.0-S096014812201271X-mmc2.xlsx</p> <p>This file (XLSX) contains tables with the coordinates of the VLE associated with the hydrogen-containing systems.</p> <p>File: 1-s2.0-S096014812201271X-mmc3.xlsx</p> <p>This file (XLSX) contains tables with the density data associated with the hydrogen-containing systems.</p> <p>File: 1-s2.0-S096014812201271X-mmc4.xlsx</p> <p>This file (XLSX) contains tables with the calorific data associated with the hydrogen-containing systems.</p> <p> </p> <p>File: 2022_Renewable Energy_Manuscript_repository.docx</p> <p>This is an author-created, un-copyedited version of an article accepted for publication in Renewable Energy (2022, 198, 1398-1429). The editor of the Journal is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The definitive publisher-authenticated, Open-Access version is available online at: https://doi.org/10.1016/j.renene.2022.08.096</p>
Thermodynamic characterization of the (H2 + C3H8) system significant for the hydrogen economy: Experimental (p, rho, T) determination and equation of-state modelling
<p>File: 2023_IJHE_Manuscript_repository.docx</p> <p>This is an author-created, un-copyedited version of an article accepted for publication in the International Journal of Hydrogen Energy (2023, 48 (23), 8645-8667). The editor of the Journal is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The definitive publisher-authenticated, Open-Access version is available online at: https://doi.org/10.1016/j.ijhydene.2022.11.170<br><br>File: 2023_IJHE_Results_Repository.xlsx</p> <p>This is the MS Excel data file of the paper. </p> <p> </p> <p> </p>
Trends in global fuel economy of new vehicles: 2005 - 2022
<p>This data contains information on the fuel economy of new light-duty vehicle sales in major automotive markets and underpins the report - <strong>Trends in the global vehicle fleet 2023: managing the SUV shift and the EV transition.</strong> This report is the 2023 installment of the Global Fuel Economy Initiative (https://www.globalfueleconomy.org/) which, among other things, tracks progress in the efficiency of the global vehicle fleet. </p> <p>Yearly vehicle sales are defined by segment (small car, medium car, large car, small SUV, large SUV, Light Commercial Vehicle) and powertrain ( internal combustion engine, mild hybrid, hybrid, plug-in hybrid, battery electric, fuel cell hydrogen). For each combination of segment and powertrain the data contains information on sales, average weight (kg), average footprint (m2), and average specific energy consumption (lge/100 km). The data was obtained from a set of sources and processed to gain the best possible estimate of global trends in energy consumption for light duty vehicles. More information on the methodologies underpinning the data analysis can be found in the report.</p> <p>Files included:</p> <ul> <li>supplementary_information_GFEI2023_TDC.xlsx <ul> <li>data: sheet containing the the data - blank rows indicate missing data.</li> <li>unique values: contains the unique values taken by each column in sheet data</li> </ul> </li> <li> supplementary_information_GFEI2023_vizualisation.xlsx <ul> <li>raw_data: same data as that available in the file above</li> <li>country_map: tha mapping of individual countries to regions used in the report</li> <li>filter_data: combinations of powertrain-year-country that account for less than 0.5% of yearly sales that are not displayed in the Graphs tab</li> <li>pivots_country, pivots_powertrain, pivots_segment: intermediate step </li> <li>Powertrain: registrations, specific fuel consumption, weight and footprint by powertrain</li> <li>Segment: registrations, specific fuel consumption, weight and footprint by segment</li> <li>Graphs: Includes plots of the above two tabs, contains a country selector in I2</li> </ul> </li> <li>sdmx.zip <ul> <li>Data structures and data in SDMX-ML format, containing exactly the same information as supplementary_information_GFEI2023_TDC.xlsx, converted using the code at <a href="https://github.com/transport-data/gfei-2023" target="_blank" rel="noopener">https://github.com/transport-data/gfei-2023</a></li> </ul> </li> </ul> <p>Nota Bene: Older versions of Excel might encounter issues with titles in graphs, that is likely caused by the CONCAT function not being availble - substituting the CONCAT function with CONCATENATE should solve the problem.</p>
Energy-related CO2 Emission Accounts and Datasets for 40 Emerging Economies in 2010 - 2019
<p>The Carbon Emission Accounts and Datasets for emerging economies (CEADs, <a href="https://ceads.net">https://ceads.net</a>) aims to provide transparent, verifiable, open-access data on the CO<sub>2</sub> emissions of 40 emerging economies (accounting for 17.5% of the emissions and 12.9% of GDP of the world) for the period 2010-2019. Given the variety of statistical capacity among these countries, we standardized sectors using relevant data on energy and economic statistics and compiled emissions inventories at the regional level using sub-national statistics. For energy-related data, we included emissions from burning biomass, given its significance as an emissions source in these economies. The emissions dataset covers 47 economic sectors and 8 major energy categories in the 40 emerging economies, and in 28 we provide a subnational inventory. The emissions inventories are compiled for 47 economic sectors and 8 major categories.</p>
Variable Geometry Turbines Industrialization for a Circular Economy of Distributed Wind Energy
<p>In this work we present a novel VAWT with passive variable geometry (PVG), which combines variable radius and variable pitch of the free blades. The turbine was optimized through extensive numerical simulations, with a final design featuring short start-up time, high steady-state efficiency, low construction complexity, and low material costs. A crucial reduction of nearly 50% in the blades' mass was obtained through the use of compression moulded composites. A full-scale physical prototype was tested in a dedicated wind tunnel facility, where the typical intermittent air flow of the UBL was replicated. The turbine was connected to standard power electronics found in the solar photovoltaic market. The measured electrical power output closely matches the numerical simulations, suggesting that our PVG design can achieve a 64% increase in the capacity factor compared to a fixed-geometry turbine. Thanks to this engineering breakthrough we believe that, for the first time, wind installations in the UBL can be competitive on the energy market. We conclude our contribution by discussing industrialization and sustainability aspects of our PVG-VAWT technology, and by projecting a deployment scenario towards the uptake of a distributed urban wind market.</p>
Supplementary Information for "Modeling the circular economy in environmentally extended input–output: A web application"
<p>Supplementary Information for "Modeling the circular economy in environmentally extended input–output: A web application"</p> <p>Annex I: This supporting information provides the software review for native and web-based tools that could be used for Circular Economy and environmental analysis.</p> <p>Annex II: This supporting information provides the use-case result analysis.</p>
A 'Get-Save-Return' process continuum runs on phosphorus economy among subtropical tree species
1. Plants allocate nutrients to new leaves via making a cost-benefit trade-off between root nutrient absorption ('get') and leaf nutrient resorption ('save'). This active trade-off in nutrient acquisition pathways may cause a passive trade-off between resorption and decomposition ('return'). However, whether these nutrient-associated processes are linked and form a 'get-save-return' (GSR) continuum, and its linkages with the aboveground leaf economics spectrum (LES) and the belowground mycorrhizal association remain unclear. 2. Here, we present the first empirical evidence of a direct link among multiple nutrient-associated processes and tested this continuum hypothesis by synchronously integrating root nutrient absorption, leaf nutrient resorption, and leaf litter decomposition of 15 co-occurring tree species hosting either arbuscular mycorrhizal or ectomycorrhizal fungi in subtropical forests of China. 3. Across species, there was an active trade-off between phosphorus (P) absorption and resorption, which further caused a passive trade-off between P resorption and leaf litter decomposition, indicating that the GSR continuum exists and runs on P economy. However, these processes associated with nitrogen economy were not well-linked. Interestingly, the loading scores of species on the LES were positively correlated with root P absorption, negatively with leaf P resorption, and positively with leaf litter decomposition. These linkages indicate that species running in the 'fast lane' had greater root P absorption, lower leaf P resorption, and faster leaf litter decomposition than species running in the 'slow lane', and that the process-based GSR continuum follows the trait-based 'fast-slow' LES. Furthermore, the continuum on P economy emerged evidently in the ectomycorrhizal tree species rather than in the arbuscular mycorrhizal tree species, indicating critical control of mycorrhizal association over the continuum. 4. Synthesis. Overall, these results demonstrate the existence of the GSR continuum on tree P economy, which conforms to the economics spectrum theory but varies with mycorrhizal association type. Our findings provide a process-based framework for mechanistic understanding of the whole plant nutrient economy and ecosystem nutrient cycling, and facilitate improved predictions of biogeochemical models. --
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 a full 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>
New1_Korespondensi Propagation of Economic Shocks from the United States, China, The European Union, and Japan to Selected Asian Economies: Does the Global Value Chain Matters?
<p><strong>ABSTRACT</strong></p> <p>A panel vector autoregression (VAR) model is employed to estimate whether growth shocks from the United States (US), China, Japan, and the European Union (EU) can be transferred to selected Asian countries. We examine 1) the effect of shocks through five channels: international trade, monetary policy, finance, global uncertainty, and oil prices; 2) whether a country’s deeper integration with the global value chain (GVC) enhances or decreases the effect of growth shocks from major economies more intensively than trade openness. We found evidence of the shock transfer from major economies to Asia through the five channels. The impact differs across countries depending on their participation in GVC; for example, the impact is high in Indonesia and low in South Korea. Moreover, Asian countries are more exposed to trade shocks through China’s trade channel than other major economies. Zooming in on the channels’ impacts, global uncertainty affects countries’ growth (e.g., Indonesia) more significantly than other channels (i.e., GVC); and Asian countries respond positively to oil prices in the short run but negatively in the long run.</p> <p><strong>Keywords</strong>: Foreign spillovers, global uncertainty, oil prices, global value chain, monetary policy, trade openness, globalization</p> <p><strong>JEL Classification: </strong>F44, F62, O53, E43</p>
Shifting Dynamics in International Trade Networks: A Longitudinal Analysis of Major Exporting Economies (1992-2020): A case of the US, China, India, Japan and South Korea
<p>This article aims to analyze the changes in trading networks by bringing out aspects of centrality and reciprocity among participating countries. The research considers the trade relations of five export countries, namely, The U.S., China, India, Japan, and South Korea from 1992 to 2020. We examine whether trade networks are truly becoming more bidirectional over the long term and how the political and economic crises that have occurred in the past 30 years affect the structure of trade networks. The article presents key findings on the changes in the network structure of international trade over the past 30 years. The network structure has become more reciprocal for most product categories, and the center of the trade network has shifted from the United States to China. The analysis also demonstrated that the center of the network has shifted from U to C for all product categories, except for raw materials. The study also highlights the significant impact of global events and crises on the international trade network structure, emphasizing the importance of considering geopolitical events and economic shocks in understanding trade dynamics.</p>
Robot swarms neutralize harmful Byzantine robots using a blockchain-based token economy
Through cooperation, robot swarms can perform tasks or solve problems that a single robot from the swarm could not perform/solve by itself. However, it has been shown that a single Byzantine robot (e.g., a malfunctioning or malicious robot) can disrupt the coordination strategy of the entire swarm. Therefore, a versatile swarm robotics framework that addresses security issues in inter-robot communication and coordination is urgently needed. In this paper, we show that security issues can be addressed by setting up a token economy between the robots. To create and maintain the token economy, we use blockchain technology, originally developed for the digital currency Bitcoin. The robots are given crypto tokens that allow them to participate in the swarm's security-critical activities. The token economy is regulated via a smart contract that decides how to distribute crypto tokens among the robots depending on their contributions. We design the smart contract so that Byzantine robots soon run out of crypto tokens and can therefore no longer influence the rest of the swarm. In experiments with up to 24 physical robots, we demonstrate that our smart contract approach indeed works: the robots can maintain blockchain networks and a blockchain-based token economy can be used to neutralize the destructive actions of Byzantine robots in a collective-sensing scenario. In experiments with more than 100 simulated robots, we study the scalability and long-term behavior of our approach. The obtained results demonstrate the feasibility and viability of blockchain-based swarm robotics.
Circular Economy – current view by the Construction sector – analysis of published definitions.
<p>Data set (spreadsheet) for the article in the title.</p>
Data to Deliverable 3.4 - Co-creation process for innovative planning and governance able to facilitate the transition to a water circular economy
<p>Transcription of co-creation workshops; Worksheets filled by groups of the co-creation workshops; and final worksheets filled of the co-creation workshops.<br> </p>
Data to Deliverable 3.2 - Policy design for the transition to circular economy: Barriers and drivers in place
<p>Data to assessment of the policy and planning contexts in Almendralejo (Spain), Lecce (Italy), Omis (Croatia) and Eilat (Israel)</p>
Pre-Aksumite and Aksumite agricultural economy at Ona Adi, Tigrai (Ethiopia): first look at a 1000-year history - Datasets
<p>This repository contains the results datasets of the article <strong>Pre-Aksumite and Aksumite agricultural economy at Ona Adi, Tigrai (Ethiopia): first look at a 1000-year history</strong> submitted to the journal <strong>African Archaeological Review</strong>.</p>
Data from: Positive spatial and temporal density-dependence drive early reproductive economy-of-scale effects of masting in a European old-growth forest community
Open the record for dataset details and reuse information.
Data from: Economy of scale: third partner strengthens a keystone ant-plant mutualism
Open the record for dataset details and reuse information.
A 'Get-Save-Return' process continuum runs on phosphorus economy among subtropical tree species
Open the record for dataset details and reuse information.
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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.
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.