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243 results for “Economy”
Part design aiming at dataset generation for training a vision based quality monitoring system of a circular economy cell
<p>Part design aiming at dataset generation</p> <p> </p> <p>Related to the publication: Stavropoulos, P., Papacharalampopoulos, A., Athanasopoulou, L., Kampouris, K., & Lagios, P. (2022). Designing a digitalized cell for remanufacturing of automotive frames. <em>Procedia CIRP</em>, <em>109</em>, 513-519.</p> <p> </p> <p>Contents of the ZIP file: Different configurations as CATPart files</p> <p> </p> <p>It can open with the help of CATIA software</p>
Biblioshiny Report "Technolog* Digital Economy", database WoS (2000-2023)
<p>Bibliometric analysis of the WoS scientometric database data for the query "Technolog* Digital Economy". </p> <p>Filters:</p> <ul> <li>The country of Russia and publications in Russian were excluded.</li> <li>The year 2024 excluded</li> <li>Document types: Article </li> <li>Research areas: Business Economics or Public Administration or Social Sciences (Other topics)</li> <li>open access</li> </ul> <p>via <strong>Biblioshiny app</strong> </p>
Digital Transformation to Optimize the BBI (Proudly Made in Indonesia) National Movement for Tourism and Creative Economy Actors in the Borobudur Tourism Area, Salaman District, Magelang
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
CABRISS - Photovoltaic Waste & Recycling Circular Economy
<p>CABRISS short video presentation.</p>
Pathways to a net zero building sector in Colombia: insights from a circular economy perspective
<p>This dataset contains the input data and core results of the RECC v2.5 model for the analysis of circular economy strategies in the Colombian residential sector. For details about the RECC model, see DOI <a href="https://doi.org/10.1111/jiec.13023" target="_blank" rel="noopener">https://doi.org/10.1111/jiec.13023</a> and the RECC model landing page: <a href="https://www.industrialecology.uni-freiburg.de/odym-recc" target="_blank" rel="noopener">https://www.industrialecology.uni-freiburg.de/odym-recc</a></p> <p>The following data are included in this dataset:</p> <ul> <li>The entire model input database (120 model parameters)</li> <li>The parameters for the sensitivity analysis (8 parameters)</li> <li>The 70 folders with the core results</li> <li>The master classification file RECC_Classifications_Master_V2.0.xlsx</li> <li>The model config file RECC_Config.xlsx</li> <li>The list of scenario configurations RECC_ModelConfig_List.xlsx</li> <li>The result compilation and exporting configuration file RECCv2.5_EXPORT_Combine_Select.xlsx</li> <li>The main result summary file (extracted from the 70 result folders) Results_Extracted_RECCv2.5_10Regs_sep.xlsx</li> <li>The results of the sensitivity analysis</li> </ul> <p> </p> <p>The model itself is available as Python code from <a href="https://github.com/IndEcol/RECC-ODYM" target="_blank" rel="noopener">https://github.com/IndEcol/RECC-ODYM</a></p>
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>
Figure of Recovery ASEAN Economy through a Sustainable Tourism Sector in the Post COVID-19
<p>The figure in this article demonstrates the significant impact of the sustainable development theory. It shows that among international and regional cooperation, tourism-promoting communities, and government regulations, the government's budgeting role has the most influence on enhancing the ASEAN economy, especially in improving the environment in tourist destinations.</p> <p>This figure results from thorough data processing by our committed research team, It will pave the way for future investigations into the pandemic and its effects on sustainable development.</p>
Replication package for: Forbidden Fruits: The Political Economy of Science, Religion, and Growth
<p>The zipped folder contains all the files need to replicate the results reported in the paper “Forbidden Fruits: The Political Economy of Science, Religion, and Growth” by Roland Bénabou, Davide Ticchi, and Andrea Vindigni, published in the Review of Economic Studies.</p>
FIGURE 7 in To name or not to name: Criteria to promote economy of change in Linnaean classification schemes
FIGURE 7. Example of how a strict application of the hybrid viability criterion to define genera threatens stability. The trees are a simplification of the phylogeny of the family Bufonidae (Van Bocxlaer et al. 2009, 2010). "Generalized" large toads are arranged paraphyletically along a main branch of Eurasian and African taxa, together with several genera of distinct morphological, ecological and life history adaptations that have traditionally been considered as distinct genera (symbolized by blue and green color). Following a phylogenetic classification, also all other separate clades are to be considered as genera. As soon as hybridization among members of two of these phenotypic groups is detected (such as the real case, Bufo bufo and Pseudepidalea viridis) these two genera (as well as all genera in their respective sister clades) should be included in a single genus, including those morphologically highly divergent taxa that have typically been considered separate genera in bufonids (e.g., Ansonia and Pedostibes). However, as soon as hybridization is later on demonstrated between one member of this newly defined genus and a more basal one, generic allocation of all included taxa again needs to be revisited. Note that many of these genera are species-rich, and evidence for (captive or natural) hybridization will only occasionally be found, leading to a longterm instability of the generic arrangement.
FIGURE 1 in To name or not to name: Criteria to promote economy of change in Linnaean classification schemes
FIGURE 1. Changes of genus-level taxonomy summarized for European amphibians and reptiles. The graph shows the percentage of species that changed genus from one monographic work to the other, standardized per year. After a rather continuous rate of change from 1834–1978, almost no genus-level changes occured between 1978 and 1997, whereas in the 1997–2010 period the increase was higher than ever before. Black bars indicate values for all pairwise comparisons between the taxon lists of the respective monographs, gray bars show the same trend only for those taxa that already were included in the very first works by Duméril and Bibron and/or Boulenger (with an overall lower rate of change since these early described species comprise several type species of well established genera). Species lists were extracted from the following publications: Duméril and Bibron (1834–1854); Boulenger (1882a,b, 1885a,b, 1887, 1889, 1896a,b); Schreiber (1912); Hellmich (1962); Arnold and Burton (1978); Gasc (1997); Speybroeck et al. (2010).
FIGURE 4 in To name or not to name: Criteria to promote economy of change in Linnaean classification schemes
FIGURE 4. Non-exhaustive series of examples of the outcome of tests of monophyly of a certain taxon. The upper row indicates the main analyses that indicate paraphyly of genus 2 (G2), based on the Maximum Parsimony optimality criterion and non-parametric bootstrapping. Clade stability for a reclassified genus 2 (marked with a black circle, including species 2, 3, and 4), rises with increasing clade support in the main analysis (upper series of trees). Clade stability for this reclassified taxon furthermore depends on the congruence with a second analysis method (here as example, Bayesian inference, middle series of trees) and with a second, largely independent set of characters (lower series of trees). Note that the trees do not represent different reanalyses of the same data; each set of trees (I–VI) is just an example of which kind of evidence a researcher could face when deciding on reclassifying genera 1 and 2.
FIGURE 6 in To name or not to name: Criteria to promote economy of change in Linnaean classification schemes
FIGURE 6. Pros and cons of the time banding criterion as exemplified in two related reptile genera with radically different patterns of temporal diversification. Both the African Bradypodion and the Malagasy Brookesia are well diagnosable and clearly monophyletic units. While Bradypodion diversified in the Miocene-Pliocene, Brookesia dates back to the Cretaceous. Several morphologically extremely similar sister species of miniaturized Brookesia, such as B. tuberculata and B. tristis have an age almost doubling that of the entire genus Bradypodion. Attempts of adapting classification on the basis of age would mean an extreme oversplitting of Brookesia with numerous non-diagnosable genera, or merging Bradypodion into a larger unit of unstable monophyly and low diagnosability. Within Brookesia, arguments might in the future be brought forward that the B. nasus group (light blue) should be recognized as a distinct genus and the two sister clades would obtain the rank of genus (light and dark blue dots). This decision would bring an even more stable monopyhly and better diagnosability. However, such a splitting would still leave units of much older age than Bradypodion. Abbreviations: Cret = Cretaceous; Pal = Paleocene; Eo = Eocene; Oli = Oligocene; Mio = Miocene; Pl = Piocene + Pleistocene + Quaternary. Timetrees redrawn after Tolley et al. (2006) and Townsend et al. (2009, 2011).
FIGURE 2 in To name or not to name: Criteria to promote economy of change in Linnaean classification schemes
FIGURE 2. Schematic graph showing the Linnaean rank and phylogenetic hierarchy for three categories (species, genus, and family). All components of the genus category have the same rank in the Linnaean system, although the respective clades (nodes) are not equivalent in the hierarchy delimited by the asymmetric phylogenetic tree. For instance, the genus Pan is in the genus category, but has hierarchical level 4 in the phylogeny, whereas Pongo is also in the genus category, but has hierarchical level 2. This same hierarchical level 2 also applies to its sister group, i.e., the clade containing the genera Gorilla, Homo, and Pan. In the terminology used herein, assuming that the tree correctly reconstructs the evolutionary relationships among the organisms included, all clades can be considered as taxa, but we mostly use the term taxon to refer to Linnaean taxa, i.e., those clades that actually correspond to a Linnaean category and are named accordingly. Note that historically, a taxon was just any group of organisms that received a name in a taxonomy, without necessarily being monophyletic, but herein we use the term explicitly in its definition as corresponding to a clade in the phylogeny of life.
FIGURE 5 in To name or not to name: Criteria to promote economy of change in Linnaean classification schemes
FIGURE 5. Examples for various kinds of diagnosability of a taxon. G stands for genus, symbols and colors for particular character states in one or several characters used for diagnosis.
FIGURE 9 in To name or not to name: Criteria to promote economy of change in Linnaean classification schemes
FIGURE 9. Suggested workflow for taxonomists working on supraspecific classification of organisms. We suggest that any revision starts with an explicit phylogenetic hypothesis (a tree), and if polyphyletic or paraphyletic groupings are suggested by the tree, a stepwise procedure should be followed to devise alternative classification schemes reflecting evolutionary history, and choosing among the alternative schemes on the basis of first priority Taxon Naming Criteria, and then the secondary and accessory TNCs.
eu circular economy goal
<p>Circular economy data included predictions to 2035</p>
Results and assumptions for: Modeling the Circular Economy in Environmentally Extended Input-Output Tables: methods, software and case study
<p>This dataset presents supplementary information for <em>"Modeling the Circular Economy in Environmentally Extended Input-Output Tables: methods, software and case study" </em><a href="https://doi.org/10.1016/j.resconrec.2019.104508">https://doi.org/10.1016/j.resconrec.2019.104508</a></p> <p>The data was processed and results were obtained through https://cmlplatform.github.io/pycirk/</p> <p> </p> <p><br> Annex I: Scenario assumptions and modeling choices and complete results (file Annex_I.xlsx) <br> Annex II: Contains analysis of other software, database modifications, and list of affected categories (file Annex_II.docx) <br> Results: settings, assumptions, results and their analysis from the case study presented in the paper (file Donati_CE_EEIO_Mo_SI.tar.gz)</p>
Trade policies in Central Asia after EAEU enlargement and after Russian WTO accession: regionalism and integration into the world economy revisited
<p>This dataset reproduces empirical results for the paper: Andrzej Cieślik & Oleg Gurshev (2023) Trade policies in Central Asia after EAEU enlargement and after Russian WTO accession: regionalism and integration into the world economy revisited, Eurasian Geography and Economics, DOI: <a href="https://doi.org/10.1080/15387216.2022.2162098">10.1080/15387216.2022.2162098</a></p> <p>It includes data, graphs, and 3SLS gravity analysis performed in the paper. This research was funded in whole by National Science Centre, Poland under PRELUDIUM 20 grant №2021/41/N/HS4/00759. For the purpose of Open Access, the author has applied a CC-BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.</p>
circular economy goals
<p>Data on circular economy targets in europe</p>
Global-Local Actions, Network and Territorial Development at Iberoamerica: The UNESCO chair in Creative Economy and Public Policy
<p>Gravação do Painel sobre Ações Globais-Locais, Redes e Desenvolvimento Territorial na Iberoamerica: a Cátedra UNESCO em Economia Criativa e Políticas Públicas - Palestra no EnANPAD 2022 Global-Local Actions, Network and Territorial Development at Iberoamerica: The UNESCO chair in Creative Economy and Public Policy.</p> <p>Atividade da divisão APB no EnANPAD 2022 - <a href="http://www.anpad.org.br">www.anpad.org.br</a></p> <p>Proponente/Proponent: Magnus Luiz Emmendoerfer - PPG-ADM/UFV</p> <p>Painelistas/Panelists: Mário Vasconcellos Sobrinho - PPAD/UNAMA and PPGEDAM/UFPA Estela Najberg - PPGADM/UFG Kelly Maria Paz e Silva - PROPAD/DCA/CCSA/UFPE Thiago Duarte Pimentel - PPGA/FACC/CMAA/UFJF and PPG/UFJF</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.