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1,610 results for “economic”
Economic activities in Turin nightlife, April 2023
<p>This dataset collects all the economic activities recorded by Turin's Chamber of Commerce according to their ATECO code.</p><p>ATECO</p><p>47.25.00 COMMERCIO AL DETTAGLIO DI BEVANDE</p><p>56.30.00 BAR E ALTRI ESERCIZI SIMILI SENZA CUCINA</p><p>90.01.01 ATTIVITÀ NEL CAMPO DELLA RECITAZIONE</p><p>90.01.09 ALTRE RAPPRESENTAZIONI ARTISTICHE</p><p>93.29.10 DISCOTECHE, SALE DA BALLO NIGHT-CLUB E SIMILI</p><p>94.99.20 ATTIVITÀ DI ORGANIZZAZIONI CHE PERSEGUONO FINI CULTURALI, RICREATIVI E LA COLTIVAZIONE DI HOBBY</p><p>When available on Google Maps or on activity's website, the closing time during the weekend has been indicated.</p>
Dataset of 'Unequal Impacts of Urban Industrial Land Expansion on Economic Growth and Carbon Dioxide Emissions'
<p>This dataset is an integral component of the research presented in 'Unequal Impacts of Urban Industrial Land Expansion on Economic Growth and Carbon Dioxide Emissions' by Yoo et al., 2024. It encompasses:</p> <p><strong>1. Links to two publicly accessible datasets:</strong></p> <ul> <li>Industrial land mapping data derived from Google Earth Engine.</li> <li>Data employed in a longitudinal analysis to evaluate the effects of urban industrial land expansion on CO2 emissions and economic growth.</li> </ul> <p><strong>2. Comprehensive input data </strong>utilized in Mixed Effects Random Forest (MERF) longitudinal modeling to assess the separate impacts on CO2 emissions and economic growth in developing and developed regions.</p> <p><strong>3. Python scripts provided for:</strong></p> <ul> <li>Executing MERF longitudinal modeling.</li> <li>Computing SHAP (SHapley Additive exPlanations) values to interpret the contributions of each predictor variable.</li> <li>Generating figures that visually summarize the findings for both developing and developed regions.</li> </ul> <p> </p> <p><strong>The manuscript is available</strong> at: <a href="https://doi.org/10.1038/s43247-024-01375-x"><span>https://doi.org/10.1038/s43247-024-01375-x</span></a></p> <div> <div> </div> </div>
AWESOME Demographic and Socio-economic Scenarios
<p>In this record, scenarios for population and economic drivers are provided, expected to impact the agricultural sector for countries in the Mediterranean and adjacent regions relevant for the AWESOME models according to the Shared Socio-economic Pathways (SSP) guidelines for the horizon 2020-2100. These scenarios were designed, modelled and generated during the the first deliverable of AWESOME WP2, named D2.1 - Demographic Scenarios.</p> <p>Population scenarios are based on a probabilistic approach employing the Bayesian hierarchical population model proposed by Raftery et al., appropriately modified to fit within the SSP scenarios, while the economic drivers scenarios are provided in terms of the global macroeconomic MaGE model. Information concerning the methodology adopted for the scenario generation, the nature and format of the produced data as well as a small but representative sample of the produced projections are presented in the relevant report.</p> <p>This record contains:</p> <p>- The deliverable's report where the model considerations for generating both population (probabilistic) and economic scenarios under the SSP setting are presented.</p> <p>- The propabilistic scenarios output for population under the SSP framework for the aggregate Mediterannean region and at national level for each country in the region (rda files in the compresed folders) (the country list is contained in the report).</p> <p>- The generated economic drivers scenarios output under the SSP framework for the aggregate Mediterannean region and at national level for each country in the region (xls file).</p> <p>- Description of the data (txt file)</p>
Output data from "Emissions leakage and economic losses could limit the effectiveness of deforestation-linked oil crop import restrictions"
<p>Contains a .dat file with queried output from scenario runs used in the paper, Yarlagadda, B., X. Zhao, G. Iyer, T. Wild, N. Hultman and J. Lamontagne, "Emissions leakage and economic losses could limit the effectiveness of deforestation-linked oil crops". This output can be run with the workflow in <a href="https://github.com/brinday/oilcrop-trade-deforestation-leakage">https://github.com/brinday/oilcrop-trade-deforestation-leakage</a> to generate the figures presented in the paper.</p>
PRICER: Leveraging Few-Shot Learning with Fine-Tuned Large Language Models for Unstructured Economic Data
<p>Describes the taxonomy used in the paper "PRICER: Leveraging Few-Shot Learning with Fine-Tuned Large Language Models for Unstructured Economic Data", presented at the Second Workshop on Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data<em> </em>at the Extended Semantic Web Conference (ESWC) 2024.</p>
The Global and National Energy Systems Techno-Economic (GNESTE) Database: Economic and performance data for nuclear power in current and future electricity systems
<p><span><span>Here, we </span><span>present a</span><span> database </span><span>which collates </span><span>historical, </span><span>current</span><span>,</span><span> and future </span><span>cost and performance</span><span> data</span> <span>and </span><span>assumption</span><span>s</span> <span>for </span></span><span><span>nuclear power generation</span></span><span> <span>from</span><span> the open literature</span><span>. </span></span><span><span>Nuclear energy is the second-largest source of low-carbon generation, supplying 9% of global electricity</span><span>.</span></span><span> <span>The data are </span><span>global in scope but with </span><span>regional and national</span> <span>specificity</span><span>, </span><span>cover</span><span>s</span><span> the years 2015 t</span><span>hrough </span><span>to 2050, </span><span>and </span><span>span</span> </span><span><span>604</span></span><span><span> datapoints from </span></span><span><span>19</span></span><span><span> sources</span><span>.</span> </span></p> <p><span><span>The database </span><span>enables modellers to select and justify</span> <span>model input data and </span><span>provides </span><span>a </span><span>benchmark for comparing assumptions and projections to </span><span>other source</span><span>s</span><span> across the literature</span> <span>to </span><span>validate</span><span> model inputs and outputs</span><span>.</span> <span>It is </span><span>designed to be easily updated with </span><span>new sources of</span><span> data, ensuring its utility</span><span>, comprehensiveness,</span><span> and broad applicability over time.</span></span> Technoeconomic data on nuclear power was collected from websites, reports, academic articles and databases of national and international organisations.</p>
Search strategies for a rapid review for economic modelling studies on RSV immunisation
<p>The dataset includes the complete, reproducible search strategies for all bibliographic databases searched during this project. The search strategies were designed to answer the following research question: </p> <p>What approaches are taken to modelling the expected costs and benefits of RSV immunisation in children and/or adults in high-income countries (as defined by the OECD)?</p> <p> </p>
Great Power Dynamics and International Economic Cooperation: Experimental Evidence from Parallel Surveys in China and the United States
Open the record for dataset details and reuse information.
DATASET AND CODES FOR THE PAPER "NUCLEAR WASTE IN MY BACKYARD: SOCIAL ACCEPTANCE AND ECONOMIC INCENTIVES"
<p>These are the codes and dataset used in the paper "Nuclear Waste in My Backyard: Social Acceptance and Economic Incentives", https://doi.org/10.1016/j.enpol.2023.113979.</p> <p>The structure of codes is explained in the README file. </p>
Environmental impacts and economic costs of perovskite light-emitting diodes
<p>Environmental impacts and economic costs of perovskite light-emitting diodes (PeLEDs), which are based on the life cycle assessments (LCA) and techno-economic assessments (TEA). They are also the dataset for the manuscript entitled "Towards sustainable perovskite light-emitting diodes".</p>
Massaciuccoli Lake basin in Tuscany, Italy. Datasets of 75 environmental, geomorphologic, and socio-economic variables associated from remote past to remote future
<p>Collection of 148 datasets representing 75 environmental, geomorphologic, and socio-economic variables associated with the Massaciuccoli Lake basin in Tuscany, Italy. <br>The data cover five temporal snapshots: remote past (1950-1980), recent past (1981-2015), present (2016.2024), near future (2050 under RCP4.5 and 8.5), and remote future (2100 under RCP4.5 and 8.5)<br>Raster data have been harmonised and resampled at 0.0005° (~50 m) resolution.<br>Vector data have been aligned and cut over the basin boundaries.<br>A QGIS project using the WGS84 EPSG:4326 projection is included in the ZIP file. </p> <p>A metadata file (in MS Excel format) reports data content descriptions, the primary sources, their FAIRness levels, and the direct links to the primary sources when available. <br>The dataset numbers are aligned to the table Id-column entries.</p>
Thermal requirements for egg development of two endemic Wiseana pest species (Lepidoptera: Hepialidae) of economic importance
<p>Raw and analyzed data for our paper title "Thermal requirements for egg development of two endemic <em>Wiseana</em> pest species (Lepidoptera: Hepialidae) of economic importance". </p>
Wave-like global economic ripple response to Hurricane Sandy - Data supplement
<p>This data set includes the raw data for the figures of the article "Wave-like global economic ripple response to Hurricane Sandy" (https://doi.org/10.1088/1748-9326/ac39c0).</p>
Modeling the economic and environmental impacts of land scarcity under deep uncertainty
<p>Code and input files for the Dolan et al. 2021 paper "Modeling the economic and environmental impacts of land scarcity under deep uncertainty"</p>
Polyploidy promotes divergent evolution across the leaf economics spectrum and plant edaphic niche in the Dianthus broteri complex
<ol> <li>The evolution of the leaf economics spectrum (LES) is known to be constrained by genetic relatedness but also promoted at small geographic and phylogenetic scales. In those cases, we hypothesised that polyploidy would play a prominent role as an outstanding source of functional divergence and adaptive potential.</li> <li>We registered leaf-level nutrient, water and light economy related traits from the LES as well as edaphic properties in the four cytotypes of the autopolyploid <i>Dianthus broteri</i> complex (2×, 4×, 6× and 12×). We analysed the effect of ploidy level on the integration of the LES network, checked if concerted evolution occurred between LES and soil niche and tested the influence of phylogeny on the variables. Alternative evolutionary models for both sets of traits were compared.</li> <li> <span>We found higher divergence of polyploids (especially 6</span>×<span> and 12</span>×<span>) compared to diploids</span> in the LES and soil niche, but these traits are not coevolving. <span>6</span>×<span> and 12</span>× showed opposite ecological strategies regarding resource use and higher uncoupling of the LES network. Early divergence of traits prevailed in both LES and edaphic niche (supported by better fitted evolutionary models with one optimum per cytotype), but post-polyploidization processes played an important role for the photochemical behaviour.</li> <li> <i>Synthesis.</i><b> </b><span>Our results indicated shifts in ecological strategies across <i>D. broteri</i> cytotypes and suggested a powerful role of polyploidy in overcoming constraints for the evolution of plant functional traits.</span> </li> </ol>
Socio-economic and environmental impacts of ants: data to support global assessments
<p>Risk assessments are fundamental to invasive species management and are underpinned by comprehensive characterization of invasive species impacts. Our understanding of the impacts of invasive species is growing constantly, and several recently developed frameworks offer the opportunity to systematically categorize environmental and socio-economic impacts of invasive species. Invasive ants are among the most widespread and damaging invaders. We provide a global, comprehensive assessment on the impacts of ants and propose a priority list of risk species. We used the Socio-Economic Impact Classification for Alien Taxa (SEICAT), Environmental Impact Classification for Alien Taxa (EICAT) and Generic Impact Scoring System (GISS) to analyse 642 unique sources for 100 named species. This dataset includes the raw recrods on which our assessments were based, and some summary data. Other data can be found in the publication.</p>
Model and data for: Economical defense of resources structures territorial space use in a cooperative carnivore
<p>Manuscript Abstract: Ecologists have long sought to understand space use and mechanisms underlying patterns observed in nature. We developed an optimality landscape and mechanistic territory model to understand mechanisms driving space use and compared model predictions to empirical reality. We demonstrate our approach using gray wolves (<i>Canis lupus</i>). In the model, simulated animals selected territories to economically acquire resources by selecting patches with greatest value, accounting for benefits, costs, and tradeoffs of defending and using space on the optimality landscape. Our approach successfully predicted and explained first- and second-order space use of wolves, including the population's distribution, territories of individual packs, and influences of prey density, competitor density, human-caused mortality risk, and seasonality. It accomplished this using simple behavioral rules and limited data to inform the optimality landscape. Results contribute evidence that economical territory selection is a mechanistic bridge between space use and animal distribution on the landscape. This approach and resulting gains in knowledge enable predicting effects of a wide range of environmental conditions, contributing to both basic ecological understanding of natural systems and conservation. We expect this approach will demonstrate applicability across diverse habitats and species, and that its foundation can help continue to advance understanding of spatial behavior.</p> <p>Model & Data Abstract: In support of the above manuscript, all model files and data to re-create the analyses for the manuscript are included on Dryad. The model can be run in NetLogo (installation file included), using the associated input files to build the Montana landscape for wolves. Expertise in NetLogo is strongly recommended for using this model. Output files are likewise included along with code to create each plot in the manuscript and SI. Software files for the model and code to create each plot in the manuscript are located at Zenodo: https://doi.org/10.5281/zenodo.5802243.</p>
Code and dataset used for the paper "The Economics of Research Reproducibility"
<p>This deposit includes the numerical data (code and dataset) used to generate the results displayed in the article "<a href="https://zenodo.org/record/5211312#.YRuv_I4zaUk">The Economics of Research Reproducibility</a>".</p>
Leaf economics in a three‐dimensional environment: Testing leaf trait responses in vascular epiphytes to land use, climate, and tree zone
<p>1. The study of functional traits offers predictive power for community ecology. Particularly in cases where individual species are difficult to study, known properties of trait spectra, such as the leaf economics spectrum (LES), and trait-environment relationships can provide crucial generalizable information that can contribute to forecasts of distributional shifts in response to the abiotic effects of climate and land use changes.</p> <p>2. Vascular epiphytes have been proposed as indicators of environmental change, but we know little about the ecology of most species. Key functional trait assumptions are based on terrestrial plants; testing these in epiphytes verifies their universality and will inform applying functional traits in predicting epiphyte responses to climate and land use change.</p> <p>3. In this study, we use functional traits from 37 vascular epiphyte species from forests and shade coffee farms at two sites in northern Nicaragua. We compare correlations among traits and intraspecific trait variances with those of terrestrial plants and among epiphyte taxonomic groups. We also test trait responses to environmental differences between sites and land use types, and within zones of the tree.</p> <p>4. We find that epiphyte leaf traits fall toward the slower end of the LES, but with about one-third lower leaf nitrogen per change in specific leaf area (SLA) relative to terrestrial herbaceous plants. Bromeliads show less relationship between these traits than other epiphyte groups and also deviate in other trait interrelationships, suggesting unique leaf construction.</p> <p>5. Trait-environment relationships varied most strongly along vertical gradients within trees, but some traits, including SLA and carbon isotope ratio, also responded to land use and site differences.</p> <p>6. We present evidence that trait relationships established for terrestrial plants appear to translate to epiphytes, but identify some possible caveats. Strong trait response to vertical gradients within trees suggests that within-canopy shifts could provide resilience to climate and land use changes for some epiphyte species.</p>
Wikidata Dump economic_unit_and_person
<p> RDF dump of wikidata produced with <a href="https://tools.wmflabs.org/wdumps/">wdumps</a>. </p> <p> p31 instance of - Q783794 company - Q6881511 enterprise - Q4830453 business - Q3563237 economic unit P106 occupation - Q43845 businessperson - Q131524 entrepreneur - Q6606110 industrialist - Q484876 chief executive officer - Q978044 executive - Q2961975 business executive<br> <a href="https://tools.wmflabs.org/wdumps/dump/2071">View on wdumper</a> </p> <p> <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0 </p>
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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.