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Dataset results
620 results for “sector”
MAgPIE v4.3.x model run outputs including dynamic forestry sector
<p>Archive of runs produced for the forestry paper using MAgPIE 4.3.1+</p> <p><a href="https://github.com/magpiemodel/magpie">Model Code</a></p> <p><a href="https://rse.pik-potsdam.de/doc/magpie/4.3/index.htm">Model documentation</a></p> <p><a href="https://github.com/magpiemodel/tutorials">Model tutorials</a></p>
Brazilian marine biogeography: a multi-taxa approach for outlining sectorization
<p>Biotic dataset for the article <strong>Brazilian marine biogeography: a multi-taxa approach for outlining sectorization</strong></p>
Green taxes as ecosystem conservation: an analysis of the industrial sector's view in Peru
<p><strong>Background:</strong> Environmental problems are becoming more and more recurrent nowadays, which is why many countries have acted on the matter, through different forms, laws and taxes that can contribute and reduce the polluting impact of companies at the time of manufacturing their products. One of the reforms has been environmental taxes, which are not only aimed at raising money, but also at taking corrective action on the behavior of companies that damage both the environment and the health of the population.</p> <p><strong>Objective:</strong> The research is interested in finding out the opinion and interest of managers of different companies in the industrial sector on environmental taxes, also known as green taxes, and whether they consider it necessary to add green taxes to the current tax system.</p> <p><strong>Method:</strong> For the data collection of the research, 120 managers of small and medium-sized enterprises in the industrial sector were questioned about whether green taxes could have an influence on ecosystem conservation and several other questions.</p> <p><strong>Results: </strong>63.3% of the managers surveyed agree that the application of an environmental tax is necessary.</p>
Licitaciones y contrataciones del sector público en España (enero a octubre 2022)
<p>Este documento es el resultado de la elaboración de la práctica “¿Cómo podemos capturar los datos de la web?” de la asignatura “Tipología y ciclo de vida de los datos” del " Máster en Ciencia de Datos” de la UOC. La práctica consiste en la selección de una fuente de datos y la recolección de información de la misma mediante técnicas de webscrapping.</p> <p>La información que se va a recolectar es la contratación del sector público en España, para ello se ha utilizado la página:</p> <p><a href="https://contrataciondelestado.es/">https://contrataciondelestado.es/</a></p> <p> </p>
Finnish cooperatives active in the forestry and real estate sector
<p>58 cooperatives incorporated in Finland (osuuskunta / osk) active in the forestry or real estate business, with name and business ID (y-tunnus).</p> <p>The companies have been identified by searching all 200+ cooperatives in the agriculture or real estate field as listed on OpenCorporates and manually identifying those most likely to do business relevant for climate change and climate sink preservation (industry codes 02100, 02400, 68201, 68202, 68209 in Finland TOL 2008). Some extra notes were added manually, including an URL with more information.</p> <p>This is a first version of the dataset. Future versions may include more companies and more extracts from the trade register (PRH).</p>
Crosswalk between Source Classification Codes (SCCs) and 14 sectors of economy
<p>This dataset is a crosswalk between US EPA Source Classification Codes (SCCs) and sectors of economy. The 14 sectors include all anthropogenic emission sources, and exclude biogenic, wildfire, and international sources. The 14 sectors are: 1) agriculture (“Ag”); 2) coal electricity utility (“Coal Elec.”); 3) noncoal electricity utility (“Non-coal Elec.”); 4) commercial cooking (“Cooking”); 5) construction (“Const.”); 6) diesel heavy-duty vehicle (“Diesel HD Veh.”); 7) gasoline light-duty vehicle (“Gas LD Veh.”); 8) industrial; 9) road dust (“Road Dst”); 10) residential gas combustion (“Res. Gas”); 11) residential wood combustion (“Res. Wood”); 12) residential others (“Res. Other”); 13) off-highway vehicle and equipment (“Offroad”); and 14) miscellaneous (“Misc.”). </p> <p>The SCC list are downloaded from <a href="https://ofmpub.epa.gov/sccwebservices/sccsearch/">https://ofmpub.epa.gov/sccwebservices/sccsearch/</a> [Accessed Sep 22, 2022]. </p> <p>In the data table, the first column is the SCC; the second column is the classification of the 14 sectors; and the reset of the columns includes detailed description of each SCC from EPA. </p> <p> </p>
The Multidomain Sector and Its Relation to the Classical Sectors of the Regional Security Complex
<p>The Multidomain Sector and Its Relation to the Classical Sectors of the Regional Security Complex -model of multidomain sector</p> <p>The model was drafted as a part of research supported by Poland’s National Centre for Science under the grant entitled: The adaptation of the regional security complex in the face of climate change: the example of the Arctic, with number: UMO-2019/35/N/HS5/00578.</p>
Understanding levels of online participation in the UK museum sector
<p>This is the corresponding data set for the article "Understanding levels of online participation in the UK museum sector". </p> <p>This data set uses a representative sample of 315 UK museums to create a much-needed benchmark against which museum practitioners can evaluate and contextualise prior studies and their own experiences. It includes data from museum websites and five social media platforms, and is one of the largest data sets of its kind in the European museum sector and the first of such scale in the UK. </p>
Dataset: A unified modelling framework for projecting sectoral greenhouse gas emissions
<p>Data provided includes results from the unified framework described in "A unified modelling framework for projecting sectoral greenhouse gas emissions". Contains posterior draws of emission intensities and resulting emissions for 173 countries, five main sectors up to the year 2050. Historical GHG emissions data based on <a href="https://doi.org/10.5194/essd-13-5213-2021">Minx et al (2021)</a>.</p> <p>Code for the processing of results can be found on <a href="https://github.com/oDNAudio/GHG_sector_projections">Github</a>.</p>
Identifying cost-effective decarbonisation pathways for South Africa's power sector (EMP-A 2023) - Dataset
<p>Dataset of the project "Identifying cost-effective decarbonisation pathways for South Africa's power sector (EMP-A 2023)".</p>
Dataset: The implications of microalgae biofuel production for the heavy-duty transport sector under planetary boundary perspective
<p><strong>Dataset of the article: </strong><em>"The implications of microalgae biofuel production for the heavy-duty transport sector under planetary boundary perspective"</em></p> <ul> <li>Selected results of the analysis are included in <strong>Microalgae biofuel results.zip</strong></li> </ul> <p><strong>Summary:</strong></p> <p>In this contribution, we study the extent to which 68 scenarios for microalgae biofuels could help the heavy-duty transport sector operate within planetary boundaries. The proposed scenarios are built considering a range of alternative configurations based on three types of fuel production processes (i.e., transesterification, hydrodeoxygenation and hydrothermal liquefaction), different carbon sources (such us a natural gas power plants and direct air capture), byproduct treatments, and two electricity mixes. Our results reveal that microalgae biofuels could significantly reduce the environmental and human health impacts of the business-as-usual (fossil-based) heavy-duty transport sector. Moreover, relative to standard biofuels that show large land-use requirements, we find that microalgae biofuels also decrease the damage on biosphere integrity substantially. Notably, pathways resorting to hydrodeoxygenation of microalgae oil and direct air capture and carbon storage could reduce the current impact induced globally on climate change by the heavy transport by 77%, while attaining six-fold reductions in biosphere integrity impacts, both relative to conventional biofuels. Simultaneously, microalgae-based biofuels can achieve impacts six times lower than conventional biofuels in biosphere integrity and 45% lower in human health.</p>
Qualitative review data of Indian Public Sector Banks' qualitative review data
<p>This data is very useful in text mining. This data s useful for identifying key service quality dimensions for mobile banking apps using text mining.</p>
Downscaled Base, Sector and Fuel based PM2.5 from Stretched Grid Simulations using GEOS-Chem High Performance over South Asia.
<p>The <a href="https://zenodo.org/api/files/aed6de20-c761-4560-9cb8-b8f9e4e7b038/Gridded_Base_Sector_Fuel_PM25_South_Asia.mat">Gridded_Base_Sector_Fuel_PM25_South_Asia.mat</a> file that contains LAT_South_Asia, LON_South_Asia, PM25_base, PM25_sectors,PM25_fuels</p> <p>This is the order of the gridded sectors*:</p> <p>PM25_sectors(:,:,1) = AFCID;</p> <p>PM25_sectors(:,:,2) = OPEN_FIRES;</p> <p>PM25_sectors(:,:,3) = INDUSTRY;</p> <p>PM25_sectors(:,:,4) = POWER GENERATION;</p> <p>PM25_sectors(:,:,5) = RESIDENTIAL COMBUSTION;</p> <p>PM25_sectors(:,:,6) = TRANSPORT;</p> <p>PM25_sectors(:,:,7) = WASTE ;</p> <p>PM25_sectors(:,:,8) = AGRICULTURE ;</p> <p>PM25_sectors(:,:,9) = OTHER ;</p> <p>PM25_fuels(:,:,1) = BIOFUEL;</p> <p>PM25_fuels(:,:,2) = REMAINING_SOURCES;</p> <p>PM25_fuels(:,:,3) = COAL;</p> <p>PM25_fuels(:,:,4) = OIL_AND_GAS;</p> <p>PM25_fuels(:,:,5) = DUST_AND_FIRES;</p> <p>* The sectors here have been customized to prioritize particular sectors by adding lesser contributing sectors together. Please contact the author for more information on this. </p> <p>The NetCDFs contain the scaled ratios between CEDS 2019 and 2017 for Emissions for 31 species that were used in the simulations.</p>
Model simulation data used in "The global impact of the transport sectors on the atmospheric aerosol and the resulting climate effects under the Shared Socioeconomic Pathways (SSPs)" (Righi et al., Earth Syst. Dynam., 2023)
<p>This dataset contains the output of the EMAC global model simulations analysed and discussed in Righi et al. (<i>Earth Syst. Dynam.</i>, 2023). For details see the README.md file.</p>
Published articles on gender in cultural and creative sectors
<p>Results from the analysis of 6.631 scientific articles on Gender in Cultural and Creative Sectors (CCS) retrieved from Web of Science and dating between 1958 and 2022. The largest number of publications have their focus on the audio-visual and multimedia industry (37,08%), followed by performing arts (20,48%), book and press (17,80%) and visual arts (9,35%). In other CCS, the share of publications ranges between 5,35% (advertising) and 0,41% (arts and crafts).</p> <p>Therefore, there is an evident need to foster research on the women's role in particular domains of the CCS, such as heritage, library, archives, architecture and, especially, arts and crafts. Additionally, the role of women is less emphasized in the preservation and conservation stage of the CCS value chain (for almost all the domains), in the management and regulation stage (for visual and performing arts) and in the creation stage (in the audio-visual and multimedia sector).</p> <p>A guide on Gender integration Cultural statistics can be retrieved at this URL: https://www.mesoc-project.eu/resources/gender-and-cultural-and-creative-sector-guide-gender-integration-cultural-statistics</p> <p> </p>
Høje-Taastrup - Sankey and indicator data for construction sector
<p>This excel sheet was made by the CityLoops course participants for Høje-Taastrup, Denmark and contains the data needed for the Sankey diagram and indicators for the Sector-wide Circularity Assessment for the Biomass and Construction sectors. </p> <p>"CityLoops - Closing the loop for urban material flows" is a EU Horizon2020 project with <a href="https://cityloops.metabolismofcities.org/partners/">28 partners</a>. <em>(Official project website: <a href="https://cityloops.eu/">https://cityloops.eu/</a>)</em>. CityLoops brings together six ambitious European cities to demonstrate a series of innovative tools and urban planning approaches, aimed at closing the loops of urban material flows and increasing their regenerative capacity.</p> <p>(For detailed information please visit: <a href="https://cityloops.metabolismofcities.org/dashboards/bodo/datasets/1004599/">https://cityloops.metabolismofcities.org/library/1009545/</a>) </p>
Mikkeli - Sankey and indicator data for construction and biomass sectors
<p>This excel sheet was made by the CityLoops course participants for Mikkeli, Finland and contains the data needed for the Sankey diagram and indicators for the Sector-wide Circularity Assessment for the Biomass and Construction sectors. </p> <p>"CityLoops - Closing the loop for urban material flows" is a EU Horizon2020 project with <a href="https://cityloops.metabolismofcities.org/partners/">28 partners</a>. <em>(Official project website: <a href="https://cityloops.eu/">https://cityloops.eu/</a>)</em>. CityLoops brings together six ambitious European cities to demonstrate a series of innovative tools and urban planning approaches, aimed at closing the loops of urban material flows and increasing their regenerative capacity.</p> <p>(For detailed information please visit: <a href="https://cityloops.metabolismofcities.org/dashboards/bodo/datasets/1004599/">https://cityloops.metabolismofcities.org/library/997499/</a>) </p>
Porto - Sankey and indicator data for biomass sector
<p>This excel sheet was made by the CityLoops course participants for Bodø, Norway and contains the data needed for the Sankey diagram and indicators for the Sector-wide Circularity Assessment for the Biomass and Construction sectors. </p> <p>"CityLoops - Closing the loop for urban material flows" is a EU Horizon2020 project with <a href="https://cityloops.metabolismofcities.org/partners/">28 partners</a>. <em>(Official project website: <a href="https://cityloops.eu/">https://cityloops.eu/</a>)</em>. CityLoops brings together six ambitious European cities to demonstrate a series of innovative tools and urban planning approaches, aimed at closing the loops of urban material flows and increasing their regenerative capacity.</p> <p>(For detailed information please visit: <a href="https://cityloops.metabolismofcities.org/dashboards/bodo/datasets/1004599/">https://cityloops.metabolismofcities.org/library/997482/</a>) </p>
Apeldoorn - Sankey and indicator data for biomass and construction sector
<p>This excel sheet was made by the CityLoops course participants for Apeldoorn, Netherlands and contains the data needed for the Sankey diagram and indicators for the Sector-wide Circularity Assessment for the Biomass and Construction sectors.</p> <p>(For detailed information please visit: https://cityloops.metabolismofcities.org/dashboards/apeldoorn/datasets/1004805/) </p> <p>"CityLoops - Closing the loop for urban material flows" is a EU Horizon2020 project with <a href="https://cityloops.metabolismofcities.org/partners/">28 partners</a>. <em>(Official project website: <a href="https://cityloops.eu/">https://cityloops.eu/</a>)</em>. CityLoops brings together six ambitious European cities to demonstrate a series of innovative tools and urban planning approaches, aimed at closing the loops of urban material flows and increasing their regenerative capacity.</p> <p>(For detailed information please visit: <a href="http:// https://cityloops.metabolismofcities.org/library/1004805/ ">https://cityloops.metabolismofcities.org/library/1004805/</a> and <a href="https://cityloops.metabolismofcities.org/library/1004810/">https://cityloops.metabolismofcities.org/library/1004810/</a>) </p> <p> </p>
Sevilla - Sankey and indicator data for construction and biomass sectors
<p>This excel sheet was made by the CityLoops course participants for Sevilla, Spain and contains the data needed for the Sankey diagram and indicators for the Sector-wide Circularity Assessment for the Biomass and Construction sectors. </p> <p>"CityLoops - Closing the loop for urban material flows" is a EU Horizon2020 project with <a href="https://cityloops.metabolismofcities.org/partners/">28 partners</a>. <em>(Official project website: <a href="https://cityloops.eu/">https://cityloops.eu/</a>)</em>. CityLoops brings together six ambitious European cities to demonstrate a series of innovative tools and urban planning approaches, aimed at closing the loops of urban material flows and increasing their regenerative capacity.</p> <p>(For detailed information please visit: <a href="https://cityloops.metabolismofcities.org/library/1009180/">https://cityloops.metabolismofcities.org/library/1009180/</a>) </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.