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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    Στοιχεία σχετικά με: (1) χωρική κατανομή της αστικής μελισσοκομίας (αριθμός κυψελών και αριθμός μελισσοκομικών τοποθεσιών) σε 14 ελβετικές πόλεις (Γενεύη, Λωζάνη, Biel, Neuchatel, Βασιλεία, Ζυρίχη, Chur, Luzern, St. Gallen, Winterthur, Βέρνη, Λουγκάνο, Bellinzona, Thun) για την περίοδο 2012-2018· (2) συγκεντρωτικά δεδομένα για τη μοντελοποίηση της βιωσιμότητας της αστικής μελισσοκομίας. Στοιχεία σχετικά με: (1) χωρική κατανομή της αστικής μελισσοκομίας (αριθμός κυψελών και αριθμός μελισσοκομικών τοποθεσιών) σε 14 ελβετικές πόλεις (Γενεύη, Λωζάνη, Biel, Neuchatel, Βασιλεία, Ζυρίχη, Chur, Luzern, St. Gallen, Winterthur, Βέρνη, Λουγκάνο, Bellinzona, Thun) για την περίοδο 2012-2018· (2) συγκεντρωτικά δεδομένα για τη μοντελοποίηση της βιωσιμότητας της αστικής μελισσοκομίας. Στοιχεία σχετικά με: (1) χωρική κατανομή της αστικής μελισσοκομίας (αριθμός κυψελών και αριθμός μελισσοκομικών τοποθεσιών) σε 14 ελβετικές πόλεις (Γενεύη, Λωζάνη, Biel, Neuchatel, Βασιλεία, Ζυρίχη, Chur, Luzern, St. Gallen, Winterthur, Βέρνη, Λουγκάνο, Bellinzona, Thun) για την περίοδο 2012-2018· (2) συγκεντρωτικά δεδομένα για τη μοντελοποίηση της βιωσιμότητας της αστικής μελισσοκομίας. Données sur: (1) répartition spatiale de l’apiculture urbaine (nombre de ruches et nombre de sites apicoles) dans 14 villes suisses (Genève, Lausanne, Biel, Neuchatel, Bâle, Zurich, Chur, Luzern, St Gallen, Winterthur, Berne, Lugano, Bellinzona, Thun) pour la période 2012-2018; (2) des données agrégées pour modéliser la durabilité de l’apiculture urbaine. Données sur: (1) répartition spatiale de l’apiculture urbaine (nombre de ruches et nombre de sites apicoles) dans 14 villes suisses (Genève, Lausanne, Biel, Neuchatel, Bâle, Zurich, Chur, Luzern, St Gallen, Winterthur, Berne, Lugano, Bellinzona, Thun) pour la période 2012-2018; (2) des données agrégées pour modéliser la durabilité de l’apiculture urbaine. Données sur: (1) répartition spatiale de l’apiculture urbaine (nombre de ruches et nombre de sites apicoles) dans 14 villes suisses (Genève, Lausanne, Biel, Neuchatel, Bâle, Zurich, Chur, Luzern, St Gallen, Winterthur, Berne, Lugano, Bellinzona, Thun) pour la période 2012-2018; (2) des données agrégées pour modéliser la durabilité de l’apiculture urbaine. Údaje o: (1) prostorové rozložení včelařství (počet úlů a počet včelařských lokalit) ve 14 švýcarských městech (Ženeva, Lausanne, Biel, Neuchatel, Basilej, Curych, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) na období 2012–2018; (2) souhrnné údaje pro modelování udržitelnosti včelařství ve městech. Údaje o: (1) prostorové rozložení včelařství (počet úlů a počet včelařských lokalit) ve 14 švýcarských městech (Ženeva, Lausanne, Biel, Neuchatel, Basilej, Curych, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) na období 2012–2018; (2) souhrnné údaje pro modelování udržitelnosti včelařství ve městech. Údaje o: (1) prostorové rozložení včelařství (počet úlů a počet včelařských lokalit) ve 14 švýcarských městech (Ženeva, Lausanne, Biel, Neuchatel, Basilej, Curych, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) na období 2012–2018; (2) souhrnné údaje pro modelování udržitelnosti včelařství ve městech. Data dwar: (1) id-distribuzzjoni spazjali tal-apikultura urbana (l-għadd ta’ doqqajs u n-numru ta’ postijiet tat-trobbija tan-naħal) f’14-il belt Svizzera (Ġinevra, Lausanne, Biel, Neuchatel, Basel, Zurich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) għall-perjodu 2012–2018; (2) dejta aggregata biex timmudella s-sostenibbiltà tat-trobbija urbana tan-naħal. Data dwar: (1) id-distribuzzjoni spazjali tal-apikultura urbana (l-għadd ta’ doqqajs u n-numru ta’ postijiet tat-trobbija tan-naħal) f’14-il belt Svizzera (Ġinevra, Lausanne, Biel, Neuchatel, Basel, Zurich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) għall-perjodu 2012–2018; (2) dejta aggregata biex timmudella s-sostenibbiltà tat-trobbija urbana tan-naħal. Daten zu: (1) räumliche Verteilung der Bienenzucht (Anzahl der Bienenstöcke und Anzahl der Imkereistandorte) in 14 Schweizer Städten (Genf, Lausanne, Biel, Neuchatel, Basel, Zürich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) für den Zeitraum 2012-2018; (2) aggregierte Daten zur Modellierung der Nachhaltigkeit der städtischen Bienenzucht. Daten zu: (1) räumliche Verteilung der Bienenzucht (Anzahl der Bienenstöcke und Anzahl der Imkereistandorte) in 14 Schweizer Städten (Genf, Lausanne, Biel, Neuchatel, Basel, Zürich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) für den Zeitraum 2012-2018; (2) aggregierte Daten zur Modellierung der Nachhaltigkeit der städtischen Bienenzucht. Sonraí maidir le: (1) dáileadh spásúil na beachaireachta uirbí (líon na gcoirceog agus líon na láithreacha beachaireachta) i 14 chathair na hEilvéise (an Ghinéiv, Lausanne, Biel, Neuchatel, Basel, Zurich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) don tréimhse 2012-2018; (2) sonraí comhiomlánaithe chun inbhuanaitheacht na beachaireachta uirbí a shamhaltú. Gegevens over: (1) ruimtelijke verdeling van de stedelijke bijenteelt (aantal bijenkasten en aantal bijenteeltlocaties) in 14 Zwitserse steden (Geneva, Lausanne, Biel, Neuchatel, Bazel, Zürich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) voor de periode 2012-2018; (2) geaggregeerde gegevens om de duurzaamheid van de stedelijke bijenteelt te modelleren. Dane dotyczące: 1) rozmieszczenie przestrzenne pszczelarstwa miejskiego (liczba uli i liczba miejsc pszczelarskich) w 14 miastach Szwajcarii (Genewa, Lozanna, Biel, Neuchatel, Bazylea, Zurych, Chur, Luzern, St. Gallen, Winterthur, Berno, Lugano, Bellinzona, Thun) w latach 2012–2018; 2) dane zagregowane w celu modelowania zrównoważonego rozwoju pszczelarstwa miejskiego. Tiedot seuraavista: 1) kaupunkien mehiläishoidon alueellinen jakautuminen (pesien lukumäärä ja mehiläishoitopaikkojen lukumäärä) 14 Sveitsin kaupungissa (Geneva, Lausanne, Biel, Neuchatel, Basel, Zürich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) vuosina 2012–2018; (2) aggregoidut tiedot kaupunkien mehiläishoidon kestävyyden mallintamiseksi. Datos sobre: (1) distribución espacial de la apicultura urbana (número de colmenas y número de lugares de apicultura) en 14 ciudades suizas (Ginebra, Lausana, Biel, Neuchatel, Basilea, Zúrich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) para el período 2012-2018; (2) datos agregados para modelar la sostenibilidad de la apicultura urbana.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ European Union Open ...arrow_drop_down
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    European Union Open Data Portal
    Dataset . 2022
    License: terms_open
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      European Union Open Data Portal
      Dataset . 2022
      License: terms_open
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Hansen, Teis; Keaney, Monica; Bulkeley, Harriet A.; Cooper, Mark; +10 Authors

    This database includes more than 100 decarbonisation innovations in Paper, Plastic, Steel and Meat & Dairy sectors, across their value chains, as well as in Finance. For each innovation there is a description, information about its contribution to decarbonisation, actors and collaborators involved, sources of funding, drivers, (co)benefits and disadvantages. More information on the method for selecting innovations for the database is available here. The database was created as part of REINVENT – a Horizon 2020 research project funded by the European Commission (grant agreement 730053). REINVENT involves five research institutions from four countries: Lund University (Sweden), Durham University (United Kingdom), Wuppertal Institute (Germany), PBL Netherlands Environmental Assessment Agency (the Netherlands) and Utrecht University (the Netherlands). More information can be found on our website: www.reinvent-project.eu.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Dataset . 2019
    License: CC BY NC ND
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2019
    License: CC BY NC ND
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2019
    License: CC BY NC ND
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2018
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2018
    License: CC BY NC ND
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2019
    License: CC BY NC ND
    Data sources: Datacite
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      ZENODO
      Dataset . 2019
      License: CC BY NC ND
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2019
      License: CC BY NC ND
      Data sources: ZENODO
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2019
      License: CC BY NC ND
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2018
      Data sources: ZENODO
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2018
      License: CC BY NC ND
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2019
      License: CC BY NC ND
      Data sources: Datacite
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    Authors: Doukas, Haris; Spiliotis, Evangelos; Jafari, Mohsen A.; Giarola, Sara; +1 Authors

    This dataset contains the underlying data for the following publication: Doukas, H., Spiliotis, E., Jafari, M. A., Giarola, S. & Nikas, A. (2021). Low-cost emissions cuts in container shipping: Thinking inside the box. Transportation Research Part D: Transport and Environment, 94, 102815, https://doi.org/10.1016/j.trd.2021.102815.

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    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: ZENODO
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      ZENODO
      Dataset . 2021
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2021
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2021
      License: CC BY
      Data sources: ZENODO
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    Input files for the ForClim model (version 4.0.1) used in the associated paper. They can be used to to reproduce results of the simulation study. The ForClim model, including the source code, executable and documentation, is freely available under an Open Access license from the website of the original developers at https://ites-fe.ethz.ch/openaccess/. The original climatic dataset used to generate the ForClim input climate files at each site in South Tyrol is freely available at https://doi.pangaea.de/10.1594/PANGAEA.924502 while the CHELSA climate data for future scenarios are available at https://www.chelsa-climate.org. If interested in using this dataset for a research study or a project, please contact Marco Mina ----------------------------------------------------------------------- Hillebrand L, Marzini S, Crespi A, Hiltner U & Mina M (2023) Contrasting impacts of climate change on protection forests of the Italian Alps. Frontiers in Forests and Global Change, 6, 2023 https://doi.org/10.3389/ffgc.2023.1240235 ABSTRACT. Protection forests play a key role in protecting settlements, people, and infrastructures from gravitational hazards such as rockfalls and avalanches in mountain areas. Rapid climate change is challenging the role of protection forests by altering their dynamics, structure, and composition. Information on local- and regional-scale impacts of climate change on protection forests is critical for planning adaptations in forest management. We used a model of forest dynamics (ForClim) to assess the succession of mountain forests in the Eastern Alps and their protective effects under future climate change scenarios. We investigated eleven representative forest sites along an elevational gradient across multiple locations within an administrative region, covering wide differences in tree species structure, composition, altitude, and exposition. We evaluated protective performance against rockfall and avalanches using numerical indices (i.e., linker functions) quantifying the degree of protection from metrics of simulated forest structure and composition. Our findings reveal that climate warming has a contrasting impact on protective effects in mountain forests of the Eastern Alps. Climate change is likely to not affect negatively all protection forest stands but its impact depends on site and stand conditions. Impacts were highly contingent to the magnitude of climate warming, with increasing criticality under the most severe climate projections. Forests in lower-montane elevations and those located in dry continental valleys showed drastic changes in forest structure and composition due to drought-induced mortality while subalpine forests mostly profited from rising temperatures and a longer vegetation period. Overall, avalanche protection will likely be negatively affected by climate change, while the ability of forests to maintain rockfall protection depends on the severity of expected climate change and their vulnerability due to elevation and topography, with most subalpine forests less prone to loosing protective effects. Proactive measures in management should be taken in the near future to avoid losses of protective effects in the case of severe climate change in the Alps. Given the heterogeneous impact of climate warming, such adaptations can be aided by model-based projections and high local resolution studies to identify forest stand types that might require management priority for maintaining protective effects in the future.

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    La planta media europea de residuos a energía (WtE) se define sobre la base del tratamiento de los residuos sólidos urbanos (MSW) medios europeos. El tratamiento térmico de una sola fracción de residuos como el papel o el plástico o incluso residuos específicos como la poliamida 6 no se realiza en realidad en una planta WtE para MSW. Los residuos se homogeneizan siempre para obtener un valor calorífico relativo constante y cumplir con las normas de emisión. No obstante, el modelo utilizado y los ajustes utilizados para el RMS medio permiten atribuir la carga ambiental (emisiones y también el consumo de recursos de los auxiliares) a la producción de energía, así como los créditos (exportación de chatarra de metal) a una sola fracción o residuos específicos incinerados dentro de un RMS medio.Por lo tanto, los datos de LCI son válidos para el tratamiento de los residuos específicos dentro de un RMS promedio (la proporción de la fracción de residuos del RMS se muestra en el gráfico circular de abajo, la composición elemental en el primer cuadro a continuación). La siguiente descripción de la tecnología explica los ajustes y la tecnología de la planta de WtE promedio utilizada para generar el conjunto de datos LCI. El valor calorífico neto y la composición elemental de la fracción de residuos o residuos específicos se muestran en los cuadros siguientes (véase la columna correspondiente en las tablas). El conjunto de datos cubre todos los pasos/tecnologías relevantes del proceso a lo largo de la cadena de suministro del inventario de la cuna a puerta representada con una buena calidad general de datos. El inventario se basa principalmente en datos de la industria y se completa, cuando sea necesario, con datos secundarios. Sinónimos: Residuos energéticos de plásticos (Nylon 6 GF 30, Nylon 66 GF 30) Finalidad técnica: Servicio estándar de tratamiento al final de su vida útil para una fracción de residuos específica mediante tratamiento térmico. Representación geográfica: UE-27 La planta media europea de residuos a energía (WtE) se define sobre la base del tratamiento de los residuos sólidos urbanos (MSW) medios europeos. El tratamiento térmico de una sola fracción de residuos como el papel o el plástico o incluso residuos específicos como la poliamida 6 no se realiza en realidad en una planta WtE para MSW. Los residuos se homogeneizan siempre para obtener un valor calorífico relativo constante y cumplir con las normas de emisión. No obstante, el modelo utilizado y los ajustes utilizados para el RMS medio permiten atribuir la carga ambiental (emisiones y también el consumo de recursos de los auxiliares) a la producción de energía, así como los créditos (exportación de chatarra de metal) a una sola fracción o residuos específicos incinerados dentro de un RMS medio. Por lo tanto, los datos de LCI son válidos para el tratamiento de los residuos específicos dentro de un RMS promedio (la proporción de la fracción de residuos del RMS se muestra en el gráfico circular de abajo, la composición elemental en el primer cuadro a continuación).La siguiente descripción de la tecnología explica los ajustes y la tecnología de la planta de WtE promedio utilizada para generar el conjunto de datos LCI. El valor calorífico neto y la composición elemental de la fracción de residuos o residuos específicos se muestran en los cuadros siguientes (véase la columna correspondiente en las tablas). El conjunto de datos cubre todos los pasos/tecnologías relevantes del proceso a lo largo de la cadena de suministro del inventario de la cuna a puerta representada con una buena calidad general de datos. El inventario se basa principalmente en datos de la industria y se completa, cuando sea necesario, con datos secundarios. Sinónimos: Residuos energéticos de plásticos (Nylon 6 GF 30, Nylon 66 GF 30) Finalidad técnica: Servicio estándar de tratamiento al final de su vida útil para una fracción de residuos específica mediante tratamiento térmico. Representación geográfica: UE-27 La planta media europea de residuos a energía (WtE) se define sobre la base del tratamiento de los residuos sólidos urbanos (MSW) medios europeos. El tratamiento térmico de una sola fracción de residuos como el papel o el plástico o incluso residuos específicos como la poliamida 6 no se realiza en realidad en una planta WtE para MSW. Los residuos se homogeneizan siempre para obtener un valor calorífico relativo constante y cumplir con las normas de emisión. No obstante, el modelo utilizado y los ajustes utilizados para el RMS medio permiten atribuir la carga ambiental (emisiones y también el consumo de recursos de los auxiliares) a la producción de energía, así como los créditos (exportación de chatarra de metal) a una sola fracción o residuos específicos incinerados dentro de un RMS medio.Por lo tanto, los datos de LCI son válidos para el tratamiento de los residuos específicos dentro de un RMS promedio (la proporción de la fracción de residuos del RMS se muestra en el gráfico circular de abajo, la composición elemental en el primer cuadro a continuación). La siguiente descripción de la tecnología explica los ajustes y la tecnología de la planta de WtE promedio utilizada para generar el conjunto de datos LCI. El valor calorífico neto y la composición elemental de la fracción de residuos o residuos específicos se muestran en los cuadros siguientes (véase la columna correspondiente en las tablas). El conjunto de datos cubre todos los pasos/tecnologías relevantes del proceso a lo largo de la cadena de suministro del inventario de la cuna a puerta representada con una buena calidad general de datos.El inventario se basa principalmente en datos de la industria y se completa, cuando sea necesario, con datos secundarios. Sinónimos: Residuos energéticos de plásticos (Nylon 6 GF 30, Nylon 66 GF 30) Finalidad técnica: Servicio estándar de tratamiento al final de su vida útil para una fracción de residuos específica mediante tratamiento térmico. Representación geográfica: UE-27 A central europeia média de resíduos para energia (WtE) é definida com base no tratamento da média europeia de resíduos sólidos urbanos (MSW). O tratamento térmico de uma única fração de resíduos, como papel ou plástico, ou mesmo resíduos específicos, como a poliamida 6, não é, na realidade, feito numa instalação WtE para RSU. Os resíduos são sempre homogeneizados para obter um poder calorífico constante relativo e para cumprir as normas de emissão. No entanto, o modelo utilizado e os parâmetros utilizados para os RSU médios permitem atribuir a carga ambiental (emissões e também o consumo de recursos dos auxiliares) à produção de energia, bem como os créditos (exportação de sucata metálica) a uma única fração ou a resíduos específicos incinerados dentro de um RSU médio. Por conseguinte, os dados do ICM são válidos para o tratamento dos resíduos específicos no âmbito de um RSU médio (a parte da fração de resíduos dos RSU é apresentada no gráfico de tartes abaixo, a composição elementar no primeiro quadro abaixo). A descrição tecnológica a seguir explica as configurações e a tecnologia da fábrica média de WtE utilizada para gerar o conjunto de dados do LCI. O poder calorífico inferior e a composição elementar da fração de resíduos ou dos resíduos específicos são apresentados nos quadros abaixo (ver coluna correspondente nos quadros). O conjunto de dados abrange todas as etapas/tecnologias relevantes do processo ao longo da cadeia de abastecimento do inventário do berço ao portão representado, com uma boa qualidade geral dos dados. O inventário baseia-se principalmente em dados da indústria e é completado, sempre que necessário, por dados secundários. Sinônimos: Resíduos energéticos de plásticos (Nylon 6 GF 30, Nylon 66 GF 30) Finalidade técnica: Serviço padrão de tratamento em fim de vida para uma fração de resíduos específica através de tratamento térmico. Representação geográfica:UE-27Os resíduos são sempre homogeneizados para obter um poder calorífico constante relativo e para cumprir as normas de emissão. No entanto, o modelo utilizado e os parâmetros utilizados para os RSU médios permitem atribuir a carga ambiental (emissões e também o consumo de recursos dos auxiliares) à produção de energia, bem como os créditos (exportação de sucata metálica) a uma única fração ou a resíduos específicos incinerados dentro de um RSU médio. Por conseguinte, os dados do ICM são válidos para o tratamento dos resíduos específicos no âmbito de um RSU médio (a parte da fração de resíduos dos RSU é apresentada no gráfico de tartes abaixo, a composição elementar no primeiro quadro abaixo). A descrição tecnológica a seguir explica as configurações e a tecnologia da fábrica média de WtE utilizada para gerar o conjunto de dados do LCI. O poder calorífico inferior e a composição elementar da fração de resíduos ou dos resíduos específicos são apresentados nos quadros abaixo (ver coluna correspondente nos quadros).O conjunto de dados abrange todas as etapas/tecnologias relevantes do processo ao longo da cadeia de abastecimento do inventário do berço ao portão representado, com uma boa qualidade geral dos dados. O inventário baseia-se principalmente em dados da indústria e é completado, sempre que necessário, por dados secundários. Sinônimos: Resíduos energéticos de plásticos (Nylon 6 GF 30, Nylon 66 GF 30) Finalidade técnica: Serviço padrão de tratamento em fim de vida para uma fração de resíduos específica através de tratamento térmico. Representação geográfica: UE-27 L'impianto medio europeo di Waste-to-Energy (WtE) è definito in base al trattamento dei rifiuti solidi urbani medi europei (MSW). Il trattamento termico di una singola frazione di scarto come carta o plastica o anche rifiuti specifici come la poliammide 6 non viene fatto in realtà in un impianto WtE per MSW. I rifiuti vengono sempre omogeneizzati per ottenere un relativo potere calorifico costante e per rispettare gli standard di emissione. Tuttavia, il modello utilizzato e le impostazioni utilizzate per la RMS media consentono di attribuire l'onere ambientale (emissioni e anche il consumo di risorse di energia ausiliari) nonché i crediti (esportazione di rottami metallici) a una singola frazione o a rifiuti specifici inceneriti all'interno di una RMS media. Pertanto i dati LCI sono validi per il trattamento dei rifiuti specifici all'interno di una MSW media (la quota di frazione di rifiuti del MSW è mostrata nel grafico a torta sottostante, la composizione elementare nella prima tabella sottostante). La seguente descrizione della tecnologia spiega le impostazioni e la tecnologia dell'impianto WtE medio utilizzato per generare il set di dati LCI. Il potere calorifico netto e la composizione elementare della frazione di rifiuto o dei rifiuti specifici sono riportati nelle tabelle sottostanti (cfr. colonna corrispondente nelle tabelle). Il set di dati copre tutte le fasi/tecnologie di processo rilevanti lungo la catena di approvvigionamento dell'inventario della culla per gate rappresentata con una buona qualità complessiva dei dati. L'inventario si basa principalmente sui dati del settore ed è completato, ove necessario, da dati secondari. Sinonimi: Rifiuti di materie plastiche (Nylon 6 GF 30, Nylon 66 GF 30) Scopo tecnico: Servizio di trattamento standard di fine vita per una frazione specifica di rifiuti tramite trattamento termico. Rappresentanza geografica:UE-27I rifiuti vengono sempre omogeneizzati per ottenere un relativo potere calorifico costante e per rispettare gli standard di emissione. Tuttavia, il modello utilizzato e le impostazioni utilizzate per la RMS media consentono di attribuire l'onere ambientale (emissioni e anche il consumo di risorse di energia ausiliari) nonché i crediti (esportazione di rottami metallici) a una singola frazione o a rifiuti specifici inceneriti all'interno di una RMS media. Pertanto i dati LCI sono validi per il trattamento dei rifiuti specifici all'interno di una MSW media (la quota di frazione di rifiuti del MSW è mostrata nel grafico a torta sottostante, la composizione elementare nella prima tabella sottostante). La seguente descrizione della tecnologia spiega le impostazioni e la tecnologia dell'impianto WtE medio utilizzato per generare il set di dati LCI. Il potere calorifico netto e la composizione elementare della frazione di rifiuto o dei rifiuti specifici sono riportati nelle tabelle sottostanti (cfr. colonna corrispondente nelle tabelle).Il set di dati copre tutte le fasi/tecnologie di processo rilevanti lungo la catena di approvvigionamento dell'inventario della culla per gate rappresentata con una buona qualità complessiva dei dati. L'inventario si basa principalmente sui dati del settore ed è completato, ove necessario, da dati secondari. Sinonimi: Rifiuti di materie plastiche (Nylon 6 GF 30, Nylon 66 GF 30) Scopo tecnico: Servizio di trattamento standard di fine vita per una frazione specifica di rifiuti tramite trattamento termico. Rappresentanza geografica: UE-27 Media europeană a deșeurilor în energie (WtE) este definită pe baza tratării deșeurilor municipale solide medii europene (MSW). Tratamentul termic al unei singure fracții de deșeuri, cum ar fi hârtia sau plasticul sau chiar deșeurile specifice, cum ar fi Polyamide 6, nu se realizează în realitate într-o instalație WtE pentru MSW. Deșeurile sunt întotdeauna omogenizate pentru a obține o putere calorifică relativ constantă și pentru a respecta standardele de emisie. Cu toate acestea, modelul utilizat și setările utilizate pentru MSW medii permit atribuirea sarcinii de mediu (emisii și, de asemenea, consumul de resurse al agenților auxiliari), precum și a creditelor (exportul deșeurilor metalice) unei singure fracții sau deșeurilor specifice incinerate în cadrul unui MSW mediu. Prin urmare, datele LCI sunt valabile pentru tratarea deșeurilor specifice într-un mediu MSW (partea fracției de deșeuri din MSW este prezentată în diagrama plăcintă de mai jos, compoziția elementară din primul tabel de mai jos). Următoarea descriere a tehnologiei explică setările și tehnologia uzinei medii WtE utilizate pentru generarea setului de date LCI. Puterea calorifică netă și compoziția elementară a fracțiunii de deșeuri sau a deșeurilor specifice sunt prezentate în tabelele de mai jos (a se vedea coloana corespunzătoare din tabele). Setul de date acoperă toate etapele/tehnologiile relevante ale procesului de-a lungul lanțului de aprovizionare al inventarului leagan în poarta reprezentată, cu o bună calitate generală a datelor. Inventarul se bazează în principal pe date din industrie și este completat, dacă este necesar, de date secundare. Sinonime: Deșeuri în energie ale materialelor plastice (Nylon 6 GF 30, Nylon 66 GF 30) Scop tehnic: Serviciul standard de tratare la sfârșitul ciclului de viață pentru o fracțiune specifică de deșeuri prin tratare termică. Reprezentarea geografică:UE-27Deșeurile sunt întotdeauna omogenizate pentru a obține o putere calorifică relativ constantă și pentru a respecta standardele de emisie. Cu toate acestea, modelul utilizat și setările utilizate pentru MSW medii permit atribuirea sarcinii de mediu (emisii și, de asemenea, consumul de resurse al agenților auxiliari), precum și a creditelor (exportul deșeurilor metalice) unei singure fracții sau deșeurilor specifice incinerate în cadrul unui MSW mediu. Prin urmare, datele LCI sunt valabile pentru tratarea deșeurilor specifice într-un mediu MSW (partea fracției de deșeuri din MSW este prezentată în diagrama plăcintă de mai jos, compoziția elementară din primul tabel de mai jos). Următoarea descriere a tehnologiei explică setările și tehnologia uzinei medii WtE utilizate pentru generarea setului de date LCI. Puterea calorifică netă și compoziția elementară a fracțiunii de deșeuri sau a deșeurilor specifice sunt prezentate în tabelele de mai jos (a se vedea coloana corespunzătoare din tabele).Setul de date acoperă toate etapele/tehnologiile relevante ale procesului de-a lungul lanțului de aprovizionare al inventarului leagan în poarta reprezentată, cu o bună calitate generală a datelor. Inventarul se bazează în principal pe date din industrie și este completat, dacă este necesar, de date secundare. Sinonime: Deșeuri în energie ale materialelor plastice (Nylon 6 GF 30, Nylon 66 GF 30) Scop tehnic: Serviciul standard de tratare la sfârșitul ciclului de viață pentru o fracțiune specifică de deșeuri prin tratare termică. Reprezentarea geografică: UE-27 Європейський середній завод з виробництва відходів (WtE) визначається на основі поводження з середньоєвропейськими твердими побутовими відходами (ТПВ). Термічна обробка однієї фракції відходів, таких як папір, пластик або навіть специфічні відходи, такі як поліамід 6, насправді не проводиться на заводі WtE для ТПВ. Відходи завжди гомогенізуються, щоб отримати відносну постійну теплотворну цінність і відповідати стандартам викидів.Тим не менш, використовувана модель і використовувані параметри для середньої ТПВ дозволяють віднести екологічне навантаження (викиди, а також споживання ресурсів допоміжних засобів) виробництва енергії, а також кредити (експорт металобрухту) до однієї фракції або конкретних відходів, спалених в межах середньої ТПВ. Тому дані LCI дійсні для обробки конкретних відходів в межах середнього ТПВ (частка відходів ТПВ показана в круговій діаграмі нижче, елементарної композиції в першій таблиці нижче). Наступний опис технології пояснює налаштування та технологію середнього заводу WtE, який використовується для створення набору даних LCI. Чиста теплотворна цінність і елементарний склад фракції відходів або конкретних відходів показані в таблицях нижче (див. відповідну колонку в таблицях). Набір даних охоплює всі відповідні етапи процесу / технології в ланцюжку поставок представленої колиски до інвентаризації воріт з хорошою загальною якістю даних. Інвентаризація в основному базується на галузевих даних і завершується, коли це необхідно, вторинними даними. Синоніми: Відходи до енергії пластмас (Нейлон 6 GF 30, нейлон 66 GF 30) Технічне призначення: Стандартний термін служби обробки для конкретної фракції відходів шляхом термічної обробки. Географічне представництво: ЄС-27 Європейський середній завод з виробництва відходів (WtE) визначається на основі поводження з середньоєвропейськими твердими побутовими відходами (ТПВ). Термічна обробка однієї фракції відходів, таких як папір, пластик або навіть специфічні відходи, такі як поліамід 6, насправді не проводиться на заводі WtE для ТПВ.Відходи завжди гомогенізуються, щоб отримати відносну постійну теплотворну цінність і відповідати стандартам викидів. Тим не менш, використовувана модель і використовувані параметри для середньої ТПВ дозволяють віднести екологічне навантаження (викиди, а також споживання ресурсів допоміжних засобів) виробництва енергії, а також кредити (експорт металобрухту) до однієї фракції або конкретних відходів, спалених в межах середньої ТПВ. Тому дані LCI дійсні для обробки конкретних відходів в межах середнього ТПВ (частка відходів ТПВ показана в круговій діаграмі нижче, елементарної композиції в першій таблиці нижче). Наступний опис технології пояснює налаштування та технологію середнього заводу WtE, який використовується для створення набору даних LCI. Чиста теплотворна цінність і елементарний склад фракції відходів або конкретних відходів показані в таблицях нижче (див. відповідну колонку в таблицях). Набір даних охоплює всі відповідні етапи процесу / технології в ланцюжку поставок представленої колиски до інвентаризації воріт з хорошою загальною якістю даних.Інвентаризація в основному базується на галузевих даних і завершується, коли це необхідно, вторинними даними. Синоніми: Відходи до енергії пластмас (Нейлон 6 GF 30, нейлон 66 GF 30) Технічне призначення: Стандартний термін служби обробки для конкретної фракції відходів шляхом термічної обробки. Географічне представництво: ЄС-27 Den genomsnittliga europeiska avfalls-till-energianläggningen (WtE) definieras på grundval av behandlingen av genomsnittligt kommunalt fast avfall i Europa. Termisk behandling av en enda avfallsfraktion som papper eller plast eller till och med specifikt avfall som Polyamid 6 sker inte i verkligheten i en WtE-anläggning för hushållsavfall. Avfallet är alltid homogeniserat för att uppnå ett relativt konstant värmevärde och uppfylla utsläppsnormerna. Den använda modellen och de använda inställningarna för det genomsnittliga maskinavfallet gör det dock möjligt att tillskriva energiproduktionen (utsläpp och resursförbrukning) energiproduktion samt krediter (export av metallskrot) till en enda fraktion eller specifikt avfall som förbränns inom ett genomsnittligt kommunalt avfall. LCI-uppgifterna är därför giltiga för behandling av det specifika avfallet inom ett genomsnittligt kommunalt avfall (avfallsfraktionens andel av kommunalt avfall visas i cirkeldiagrammet nedan, den elementära sammansättningen i den första tabellen nedan). Följande teknikbeskrivning förklarar inställningarna och tekniken för den genomsnittliga WtE-anläggningen som används för att generera LCI-datauppsättningen. Nettovärmevärdet och den elementära sammansättningen av avfallsfraktionen eller det specifika avfallet visas i tabellerna nedan (se motsvarande kolumn i tabellerna). Datauppsättningen omfattar alla relevanta processsteg/tekniker över leveranskedjan för den representerade vaggan till grindinventering med en god övergripande datakvalitet. Inventeringen baseras huvudsakligen på branschdata och kompletteras vid behov med sekundärdata. Synonymer: Avfall till energi från plast (Nylon 6 GF 30, Nylon 66 GF 30) Tekniskt syfte: Standardbehandlingstjänst för uttjänta produkter för en specifik avfallsfraktion genom termisk behandling. Geografisk representation:EU-27Avfallet är alltid homogeniserat för att uppnå ett relativt konstant värmevärde och uppfylla utsläppsnormerna. Den använda modellen och de använda inställningarna för det genomsnittliga maskinavfallet gör det dock möjligt att tillskriva energiproduktionen (utsläpp och resursförbrukning) energiproduktion samt krediter (export av metallskrot) till en enda fraktion eller specifikt avfall som förbränns inom ett genomsnittligt kommunalt avfall. LCI-uppgifterna är därför giltiga för behandling av det specifika avfallet inom ett genomsnittligt kommunalt avfall (avfallsfraktionens andel av kommunalt avfall visas i cirkeldiagrammet nedan, den elementära sammansättningen i den första tabellen nedan). Följande teknikbeskrivning förklarar inställningarna och tekniken för den genomsnittliga WtE-anläggningen som används för att generera LCI-datauppsättningen. Nettovärmevärdet och den elementära sammansättningen av avfallsfraktionen eller det specifika avfallet visas i tabellerna nedan (se motsvarande kolumn i tabellerna).Datauppsättningen omfattar alla relevanta processsteg/tekniker över leveranskedjan för den representerade vaggan till grindinventering med en god övergripande datakvalitet. Inventeringen baseras huvudsakligen på branschdata och kompletteras vid behov med sekundärdata. Synonymer: Avfall till energi från plast (Nylon 6 GF 30, Nylon 66 GF 30) Tekniskt syfte: Standardbehandlingstjänst för uttjänta produkter för en specifik avfallsfraktion genom termisk behandling. Geografisk representation: EU-27 Eiropas vidējo atkritumu pārvēršanas elektrostaciju (WtE) nosaka, pamatojoties uz Eiropas vidējo cieto sadzīves atkritumu (MSW) apstrādi. Vienas atkritumu frakcijas, piemēram, papīra vai plastmasas, vai pat specifisku atkritumu, piemēram, poliamīda 6, termiskā apstrāde faktiski netiek veikta WtE rūpnīcā CSA vajadzībām. Atkritumus vienmēr homogenizē, lai iegūtu relatīvi nemainīgu siltumspēju un atbilstu emisiju standartiem.Tomēr vidējais CSA izmantotais modelis un izmantotie iestatījumi ļauj attiecināt vides slogu (palīgierīču emisijas un arī resursu patēriņu) enerģijas ražošanu, kā arī kredītus (metālu lūžņu eksportu) vienai frakcijai vai konkrētiem atkritumiem, kas sadedzināti vidējos CSA. Tāpēc DII dati ir derīgi, lai apstrādātu konkrētos atkritumus vidējā CSA (atkritumu frakcijas daļa ir norādīta zem pīrāga diagrammas, pirmās tabulas elementārais sastāvs). Tālāk sniegtais tehnoloģiju apraksts izskaidro vidējās WtE rūpnīcas iestatījumus un tehnoloģiju, ko izmanto DII datu kopas ģenerēšanai. Atkritumu frakcijas vai īpašo atkritumu zemākā siltumspēja un elementārais sastāvs ir parādīts tabulās zem (sk. attiecīgo sleju tabulās). Datu kopa aptver visus attiecīgos procesa posmus/tehnoloģijas visā pārstāvētā “no šūpuļa līdz vārtiem” krājumu piegādes ķēdē ar labu vispārējo datu kvalitāti. Inventarizācija galvenokārt balstās uz nozares datiem, un vajadzības gadījumā to papildina ar sekundāriem datiem. Sinonīmi: Plastmasas atkritumi enerģijā (Nylon 6 GF 30, Nylon 66 GF 30) Tehniskais mērķis: Standarta poligona beigu apstrādes pakalpojums konkrētai atkritumu frakcijai, izmantojot termisko apstrādi. Ģeogrāfiskā pārstāvība: ES-27 Eiropas vidējo atkritumu pārvēršanas elektrostaciju (WtE) nosaka, pamatojoties uz Eiropas vidējo cieto sadzīves atkritumu (MSW) apstrādi. Vienas atkritumu frakcijas, piemēram, papīra vai plastmasas, vai pat specifisku atkritumu, piemēram, poliamīda 6, termiskā apstrāde faktiski netiek veikta WtE rūpnīcā CSA vajadzībām.Atkritumus vienmēr homogenizē, lai iegūtu relatīvi nemainīgu siltumspēju un atbilstu emisiju standartiem. Tomēr vidējais CSA izmantotais modelis un izmantotie iestatījumi ļauj attiecināt vides slogu (palīgierīču emisijas un arī resursu patēriņu) enerģijas ražošanu, kā arī kredītus (metālu lūžņu eksportu) vienai frakcijai vai konkrētiem atkritumiem, kas sadedzināti vidējos CSA. Tāpēc DII dati ir derīgi, lai apstrādātu konkrētos atkritumus vidējā CSA (atkritumu frakcijas daļa ir norādīta zem pīrāga diagrammas, pirmās tabulas elementārais sastāvs). Tālāk sniegtais tehnoloģiju apraksts izskaidro vidējās WtE rūpnīcas iestatījumus un tehnoloģiju, ko izmanto DII datu kopas ģenerēšanai. Atkritumu frakcijas vai īpašo atkritumu zemākā siltumspēja un elementārais sastāvs ir parādīts tabulās zem (sk. attiecīgo sleju tabulās). Datu kopa aptver visus attiecīgos procesa posmus/tehnoloģijas visā pārstāvētā “no šūpuļa līdz vārtiem” krājumu piegādes ķēdē ar labu vispārējo datu kvalitāti.Inventarizācija galvenokārt balstās uz nozares datiem, un vajadzības gadījumā to papildina ar sekundāriem datiem. Sinonīmi: Plastmasas atkritumi enerģijā (Nylon 6 GF 30, Nylon 66 GF 30) Tehniskais mērķis: Standarta poligona beigu apstrādes pakalpojums konkrētai atkritumu frakcijai, izmantojot termisko apstrādi. Ģeogrāfiskā pārstāvība: ES-27 Evropski povprečni obrat za odpadno energijo (WtE) je opredeljen na podlagi obdelave povprečnih evropskih komunalnih trdnih odpadkov. Toplotna obdelava posamezne frakcije odpadkov, kot sta papir ali plastika ali celo posebni odpadki, kot je poliamid 6, se v obratu za komunalne odpadke dejansko ne izvaja. Odpadki se vedno homogenizirajo, da se dobi relativna konstantna kalorična vrednost in da se upoštevajo emisijski standardi. Kljub temu uporabljeni model in uporabljene nastavitve za povprečne komunalne odpadke omogočajo, da se okoljska obremenitev (emisije in tudi poraba virov pomožnih pripomočkov) kot tudi dobropisi (izvoz odpadnih kovin) pripišejo eni sami frakciji ali posebnim odpadkom, ki se sežigajo v povprečnih komunalnih odpadkih. Zato podatki ISD veljajo za obdelavo določenih odpadkov v okviru povprečnega komunalnega komunalnega odpadkov (delež frakcij odpadkov v komunalnih odpadkih je prikazan v spodnjem tortnem diagramu, osnovna sestava v prvi tabeli spodaj). V naslednjem opisu tehnologije so pojasnjene nastavitve in tehnologija povprečne tovarne WtE, ki se uporablja za ustvarjanje nabora podatkov ISD. Neto kalorična vrednost in osnovna sestava frakcije odpadkov ali posebnih odpadkov sta prikazani v spodnjih tabelah (glej ustrezni stolpec v tabelah). Podatkovni niz zajema vse ustrezne korake/tehnologije postopka v dobavni verigi zastopane zibelke do inventarja z dobro splošno kakovostjo podatkov. Popis temelji predvsem na podatkih industrije in je po potrebi dopolnjen s sekundarnimi podatki. Sopomenke: Pridobivanje energije iz plastike (Nylon 6 GF 30, najlon 66 GF 30) Tehnični namen: Standardna storitev obdelave ob koncu življenjske dobe za določeno frakcijo odpadkov s toplotno obdelavo. Geografska zastopanost:EU-27Odpadki se vedno homogenizirajo, da se dobi relativna konstantna kalorična vrednost in da se upoštevajo emisijski standardi. Kljub temu uporabljeni model in uporabljene nastavitve za povprečne komunalne odpadke omogočajo, da se okoljska obremenitev (emisije in tudi poraba virov pomožnih pripomočkov) kot tudi dobropisi (izvoz odpadnih kovin) pripišejo eni sami frakciji ali posebnim odpadkom, ki se sežigajo v povprečnih komunalnih odpadkih. Zato podatki ISD veljajo za obdelavo določenih odpadkov v okviru povprečnega komunalnega komunalnega odpadkov (delež frakcij odpadkov v komunalnih odpadkih je prikazan v spodnjem tortnem diagramu, osnovna sestava v prvi tabeli spodaj). V naslednjem opisu tehnologije so pojasnjene nastavitve in tehnologija povprečne tovarne WtE, ki se uporablja za ustvarjanje nabora podatkov ISD. Neto kalorična vrednost in osnovna sestava frakcije odpadkov ali posebnih odpadkov sta prikazani v spodnjih tabelah (glej ustrezni stolpec v tabelah).Podatkovni niz zajema vse ustrezne korake/tehnologije postopka v dobavni verigi zastopane zibelke do inventarja z dobro splošno kakovostjo podatkov. Popis temelji predvsem na podatkih industrije in je po potrebi dopolnjen s sekundarnimi podatki. Sopomenke: Pridobivanje energije iz plastike (Nylon 6 GF 30, najlon 66 GF 30) Tehnični namen: Standardna storitev obdelave ob koncu življenjske dobe za določeno frakcijo odpadkov s toplotno obdelavo. Geografska zastopanost: EU-27 Ο ευρωπαϊκός μέσος ευρωπαϊκός σταθμός παραγωγής ενέργειας (WtE) ορίζεται με βάση την επεξεργασία των μέσων ευρωπαϊκών αστικών στερεών αποβλήτων (MSW). Η θερμική επεξεργασία ενός μόνο κλάσματος αποβλήτων όπως το χαρτί ή το πλαστικό ή ακόμη και συγκεκριμένα απόβλητα όπως το Polyamide 6 δεν γίνεται στην πραγματικότητα σε μονάδα WtE για MSW. Τα απόβλητα είναι πάντοτε ομογενοποιημένα ώστε να επιτυγχάνεται σχετική σταθερή θερμογόνος δύναμη και να συμμορφώνονται με τα πρότυπα εκπομπών. Ωστόσο, το χρησιμοποιούμενο μοντέλο και οι χρησιμοποιούμενες ρυθμίσεις για το μέσο MSW επιτρέπουν την απόδοση της περιβαλλοντικής επιβάρυνσης (εκπομπές και κατανάλωση πόρων από βοηθητικούς φορείς) της παραγωγής ενέργειας, καθώς και των πιστώσεων (εξαγωγή μεταλλικών απορριμμάτων) σε ένα μόνο κλάσμα ή σε συγκεκριμένα απόβλητα που αποτεφρώνονται μέσα σε ένα μέσο MSW. Ως εκ τούτου, τα δεδομένα LCI είναι έγκυρα για την επεξεργασία των συγκεκριμένων αποβλήτων στο πλαίσιο ενός μέσου MSW (το μερίδιο του κλάσματος αποβλήτων του MSW εμφανίζεται στο διάγραμμα πίτας κάτω, η στοιχειώδης σύνθεση στον πρώτο πίνακα κατωτέρω). Η ακόλουθη περιγραφή της τεχνολογίας εξηγεί τις ρυθμίσεις και την τεχνολογία του μέσου εργοστασίου WtE που χρησιμοποιείται για τη δημιουργία του συνόλου δεδομένων LCI. Η κατώτερη θερμογόνος δύναμη και η στοιχειώδης σύνθεση του κλάσματος αποβλήτων ή των ειδικών αποβλήτων παρουσιάζονται στους παρακάτω πίνακες (βλ. αντίστοιχη στήλη στους πίνακες). Το σύνολο δεδομένων καλύπτει όλα τα σχετικά στάδια/τεχνολογίες της διαδικασίας σε όλη την αλυσίδα εφοδιασμού του αντιπροσωπευόμενου λίκνου έως την πύλη απογραφής με καλή συνολική ποιότητα δεδομένων. Η απογραφή βασίζεται κυρίως σε δεδομένα του κλάδου και συμπληρώνεται, όπου είναι απαραίτητο, με δευτερεύοντα στοιχεία. Συνώνυμα: Απόβλητα σε ενέργεια από πλαστικά (νάυλον 6 GF 30, νάυλον 66 GF 30) ΤΕΧΝΙΚΟΣ ΣΚΟΠΟΣ: Τυποποιημένη υπηρεσία επεξεργασίας στο τέλος του κύκλου ζωής ενός συγκεκριμένου κλάσματος αποβλήτων μέσω θερμικής επεξεργασίας. Γεωγραφική Αντιπροσώπευση: ΕΕ-27 La moyenne européenne des déchets à l’énergie (WtE) est définie sur la base du traitement des déchets solides municipaux (MSW) européens moyens. Le traitement thermique d’une fraction de déchets unique comme le papier ou le plastique ou même des déchets spécifiques comme Polyamide 6 ne se fait pas en réalité dans une usine WtE pour MSW. Les déchets sont toujours homogénéisés pour obtenir un pouvoir calorifique relativement constant et pour se conformer aux normes d’émission. Néanmoins, le modèle utilisé et les paramètres utilisés pour le MSW moyen permettent d’attribuer la charge environnementale (émissions et consommation de ressources des auxiliaires) ainsi que les crédits (exportation de déchets métalliques) à une seule fraction ou à des déchets spécifiques incinérés dans un MSW moyen. Par conséquent, les données de l’ICL sont valables pour le traitement des déchets spécifiques à l’intérieur d’un MSW moyen (la part de la fraction de déchets du MSW est indiquée dans le tableau ci-dessous, la composition élémentaire dans le premier tableau ci-dessous). La description de la technologie suivante explique les paramètres et la technologie de l’usine WtE moyenne utilisée pour générer l’ensemble de données LCI. Le pouvoir calorifique net et la composition élémentaire de la fraction de déchets ou des déchets spécifiques sont indiqués dans les tableaux ci-dessous (voir la colonne correspondante dans les tableaux). L’ensemble de données couvre toutes les étapes/technologies pertinentes du processus sur la chaîne d’approvisionnement de l’inventaire de berceau à porte représenté avec une bonne qualité globale des données. L’inventaire est principalement basé sur les données de l’industrie et est complété, le cas échéant, par des données secondaires. Synonymes: Déchets énergétiques des matières plastiques (Nylon 6 GF 30, Nylon 66 GF 30) Objet technique: Service standard de traitement en fin de vie d’une fraction de déchets spécifique par traitement thermique. Représentation géographique: EU-27

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    Authors: Erika Michela Dematteis; David Michael Dreistadt; Giovanni Capurso; Julian Jepsen; +2 Authors

    Data type: Experimental measurements, correlations and Van't Hoff plot. Date format: .opj. Origin of the data: Experimental pressure composition isotherm measurements. Data generated by a home-made Sieverts’ type apparatus from CNRS, ICMPE, Thiais, France. Software needed to plot the data: Origin.

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    Absorption Koeffizient der farbigen detritalen Substanz bei 443nm (adg in m^-1 bei 4 km Auflösung): Der Absorptionskoeffizient adg stellt den Anteil des einfallenden Lichts dar, das sowohl von detritalen Partikeln als auch von farbiger gelöster organischer Substanz (CDOM) absorbiert wird. Gelöste organische Substanz ist ein wichtiger Bestandteil des ozeanischen Kohlenstoffkreislaufs. Es wird auch als Proxy verwendet, um die Auswirkungen von Terrigenous Inputs in Küstengewässern zu bewerten. Συντελεστής απορρόφησης της χρωματισμένης αποτριχωτικής ύλης στα 443nm (adg σε m^-1 σε ανάλυση 4 km): Ο συντελεστής απορρόφησης adg αντιπροσωπεύει το κλάσμα του προσπίπτοντος φωτός που απορροφάται τόσο από τα διακριτικά σωματίδια όσο και από τη χρωματισμένη διαλυμένη οργανική ύλη (CDOM). Η διαλυμένη οργανική ύλη είναι ένα σημαντικό συστατικό του ωκεάνιου κύκλου του άνθρακα. Χρησιμοποιείται επίσης ως υποκατάστατο για την εκτίμηση των επιπτώσεων των εδαφικών εισροών στα παράκτια ύδατα. Współczynnik absorpcji barwnej substancji detrytalnej przy 443 nm (adg w m^-1 przy rozdzielczości 4 km): Współczynnik absorpcji adg reprezentuje ułamek padającego światła pochłanianego zarówno przez cząstki detrytalne, jak i przez kolorowe rozpuszczone substancje organiczne (CDOM). Rozpuszczone materia organiczna jest ważnym składnikiem oceanicznego cyklu węgla. Jest on również wykorzystywany jako wskaźnik zastępczy do oceny wpływu czynników atmosferycznych w wodach przybrzeżnych. Coeficientul de absorbție al materiei detritale colorate la 443nm (adg în m^-1 la o rezoluție de 4 km): Coeficientul de absorbție adg reprezintă fracțiunea de lumină incidentă absorbită atât de particulele detritale, cât și de materia organică colorată dizolvată (CDOM). Materia organică dizolvată este o componentă importantă a ciclului carbonului oceanic. Acesta este, de asemenea, utilizat ca indicator pentru a evalua impactul factorilor de producție terrigeni în apele costiere. Assorbiment Koeffiċjent tal-materja detritali kkulurita f’443nm (adg f’m^-1 b’riżoluzzjoni ta’ 4 km): Il-koeffiċjent ta’ assorbiment adg jirrappreżenta l-frazzjoni ta’ dawl inċidentali assorbit kemm minn partiċelli detritali kif ukoll minn materja organika maħlula kkulurita (CDOM). Il-materja organika maħlula hija komponent importanti taċ-ċiklu tal-karbonju oċeaniku. Tintuża wkoll bħala indikatur biex jiġi vvalutat l-impatt tal-inputs terriġenużi fl-ilmijiet kostali. Coefficiente di assorbimento della materia detritale colorata a 443nm (adg in m^-1 a risoluzione di 4 km): Il coefficiente di assorbimento adg rappresenta la frazione di luce incidente assorbita sia dalle particelle detritali che dalla materia organica disciolta colorata (CDOM). La materia organica disciolta è una componente importante del ciclo del carbonio oceanico. Viene anche utilizzato come proxy per valutare l'impatto degli input terrigeni nelle acque costiere. Coeficiente de absorción de materia detrital de color a 443 nm (adg en m^-1 a 4 km de resolución): El coeficiente de absorción adg representa la fracción de luz incidente absorbida tanto por partículas detritales como por materia orgánica disuelta coloreada (CDOM). La materia orgánica disuelta es un componente importante del ciclo del carbono oceánico. También se utiliza como representante para evaluar el impacto de los insumos territoriales en las aguas costeras. Коефициент на абсорбция на цветна детритална материя при 443nm (adg в m^-1 при разделителна способност 4 km): Коефициентът на поглъщане adg представлява частта от падащата светлина, абсорбирана както от детритните частици, така и от оцветената разтворена органична материя (CDOM). Разтворената органична материя е важен компонент на океанския въглероден цикъл. Той се използва и като заместител за оценка на въздействието на теригенните суровини в крайбрежните води. Coefficient d’absorption de la matière détritique colorée à 443nm (adg en m^-1 à 4 km de résolution): Le coefficient d’absorption adg représente la fraction de lumière incidente absorbée à la fois par les particules détritales et par la matière organique dissoute colorée (CDOM). La matière organique dissoute est une composante importante du cycle du carbone océanique. Il sert également de proxy pour évaluer l’impact des apports terriens dans les eaux côtières. Absorptiecoëfficiënt van gekleurde detritale materie bij 443nm (adg in m^-1 bij 4 km resolutie): De absorptiecoëfficiënt adg vertegenwoordigt de fractie van invallend licht geabsorbeerd door zowel detritale deeltjes als gekleurd opgelost organisch materiaal (CDOM). Opgelost organisch materiaal is een belangrijk onderdeel van de oceanische koolstofcyclus. Het wordt ook gebruikt als volmacht om de impact van terrigeneuze inputs in kustwateren te beoordelen.

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    Authors: Gadde, Karthik; Mampuys, Pieter; Guidetti, Andrea; H. Y. Vincent Ching; +4 Authors

    Origin of the data: Experimental spectroscopic measurements Data Type: experimental measurements, open access supporting information The data are in CSV, DSW and FBSW format. Supporting information are supplied in PDF format. Data generated by instruments: Varian Cary 5E-UV-Vis-NIR spectrophotometer for UV-Vis measurements, Varian Cary Eclipse fluorescence spectrophotomer for fluorescence quenching measurements. Analytical and procedural information: Stern-Volmer fluorescence quenching experiments, UV-Vis measurements and Fluorescent Quantum Yield determination via ferrioxalate actinometry. Definition of variables: Wavelength, Absorbance, Concentration Units of measurement: nanometers (nm), moles-per-litre (mol/l) Abbreviations: File names and data headers use the following abbreviations: FQY refers to Fluorescence Quantum Yield determination experiments Light refers to irradiated samples in the actinometry experiment, as detailed in the procedure in the supporting information. Dark refers to non-irradiated samples in the actinometry experiment, as detailed in the procedure in the supporting information. SVQuench refers to Stern-Volmer quenching experiments RAxx refer to measurements related to allylbenzene. Xx is the amount of quencher in mol/l (05 should be intended as 0.5 mol/l and so on). RTxx refer to measurements related to S-(4-methylphenyl) 4-methylbenzenethiosulfonate. Xx is the amount of quencher in mol/l as above. RExx refer to measurements related to 1,2-dimethoxy-4-(prop-2-en-1-yl)benzene. Xx is the amount of quencher in mol/l as above. RSxx refer to measurements related to styrene. Xx is the amount of quencher in mol/l. RTFxx refer to measurements related to S-(4-fluorophenyl) 4-fluorobenzenethiosulfonate. Xx is the amount of quencher in mol/l as above. MesAcrMe Xx refers to data related to catalyst 9-mesityl-10-methylacridinium. Xx is the amount of catalyst in mol/l as above. DMC for measurements employing dimethylcarbonate as solvent. ACN for measurements employing acetonitrile as solvent. FBSW and DSW data are used by the proprietary software of the Varian spectrometers (CARY WinUV and Cary Eclipse). Information can be found at https://www.agilent.com/en/product/molecular-spectroscopy/uv-vis-uv-vis-nir-spectroscopy/uv-vis-uv-vis-nir-software/cary-winuv-software and https://www.agilent.com/en/product/molecular-spectroscopy/fluorescence-spectroscopy/fluorescence-software/cary-eclipse-software

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    Authors: Matteo, Nigro; Michele, Barsanti; Roberto, Giannecchini;

    The version 1.0 contains the supporting data for the work (still under submission) "Last century changes in annual precipitation in a Mediterranean area and their spatial variability. Insights from northern Tuscany (Italy)". The following files are here available (all file are georeferenced in EPSG: 3003): - AVG_Rainfall_1990-2019.tif -> Raster map of the mean annual precipitation for the northern Tuscany, Italy. It encompasses the portion of the Tuscany region northern of the cities of Livorno - Florence. The interpolation was validated via a leave one out cross-validation procedure. - D3-1_Area2_ApuanAlps.tif -> Raster map of the differences in mean annual precipitation between the two 3-decades periods 1921 to 1950 and 1990 to 2019 for the Apuan Alps mountain ridge (Tuscany, Italy). - D3-2_Area2_ApuanAlps.tif -> Raster map of the differences in mean annual precipitation between the two 3-decades periods 1951 to 1980 and 1990 to 2019 for the Apuan Alps mountain ridge (Tuscany, Italy). - DeltaSHP_Points_AVG_Annual_Rainfall.zip -> Shape file of the raingauges locations with the mean annual precipitation values of the period 1990 to 2019. - RaingaugesSHP_Points_AVG_Annual_Rainfall_1990-2019.zip -> Shape file of the raingauges locations with the following information: differences in the mean annual precipitation values between the two 3-decades periods 1951 to 1980 and 1990 to 2019 (named D3-2); p values of the t-test for significance of the differences between the mean annual precipitation ofthe two 3-decades periods 1951 to 1980 and 1990 to 2019; difference in the mean annual precipitation values between the two 3-decades periods 1921 to 1950 and 1990 to 2019 (named D3-1); p values of the t-test for significance of the differences between the mean annual precipitation ofthe two 3-decades periods 1921 to 1950 and 1990 to 2019.

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    ZENODO
    Dataset . 2023
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    ZENODO
    Dataset . 2023
    License: CC BY
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    ZENODO
    Dataset . 2023
    License: CC BY
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      Dataset . 2023
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      ZENODO
      Dataset . 2023
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    We performed systematic mapping of EPC data applications by time, geographical spread, data features & auxiliary data used, problem domains addressed and complexity of employed data analysis. This mapping work was intended to answer the following questions: Q1. Which research studies have used EPC data (hereafter “applications”)? Q2. What input data were used by the EPC data applications? Q3. Which problem domains were addressed by the EPC data applications? Q4. How did the EPC data applications change within the study period? Purpose: To understand how the energy performance certificates (EPC) data has been used since introduction of the first national EPC registers. Kartläggning av tillämpningar av EPC data. En mer detaljerad beskrivning är tillgängligt på den engelska katalogsidan: https://snd.gu.se/en/catalogue/study/SND1066

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    European Union Open Data Portal
    Dataset . 2023
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      European Union Open Data Portal
      Dataset . 2023
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6,101 Research products
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    Στοιχεία σχετικά με: (1) χωρική κατανομή της αστικής μελισσοκομίας (αριθμός κυψελών και αριθμός μελισσοκομικών τοποθεσιών) σε 14 ελβετικές πόλεις (Γενεύη, Λωζάνη, Biel, Neuchatel, Βασιλεία, Ζυρίχη, Chur, Luzern, St. Gallen, Winterthur, Βέρνη, Λουγκάνο, Bellinzona, Thun) για την περίοδο 2012-2018· (2) συγκεντρωτικά δεδομένα για τη μοντελοποίηση της βιωσιμότητας της αστικής μελισσοκομίας. Στοιχεία σχετικά με: (1) χωρική κατανομή της αστικής μελισσοκομίας (αριθμός κυψελών και αριθμός μελισσοκομικών τοποθεσιών) σε 14 ελβετικές πόλεις (Γενεύη, Λωζάνη, Biel, Neuchatel, Βασιλεία, Ζυρίχη, Chur, Luzern, St. Gallen, Winterthur, Βέρνη, Λουγκάνο, Bellinzona, Thun) για την περίοδο 2012-2018· (2) συγκεντρωτικά δεδομένα για τη μοντελοποίηση της βιωσιμότητας της αστικής μελισσοκομίας. Στοιχεία σχετικά με: (1) χωρική κατανομή της αστικής μελισσοκομίας (αριθμός κυψελών και αριθμός μελισσοκομικών τοποθεσιών) σε 14 ελβετικές πόλεις (Γενεύη, Λωζάνη, Biel, Neuchatel, Βασιλεία, Ζυρίχη, Chur, Luzern, St. Gallen, Winterthur, Βέρνη, Λουγκάνο, Bellinzona, Thun) για την περίοδο 2012-2018· (2) συγκεντρωτικά δεδομένα για τη μοντελοποίηση της βιωσιμότητας της αστικής μελισσοκομίας. Données sur: (1) répartition spatiale de l’apiculture urbaine (nombre de ruches et nombre de sites apicoles) dans 14 villes suisses (Genève, Lausanne, Biel, Neuchatel, Bâle, Zurich, Chur, Luzern, St Gallen, Winterthur, Berne, Lugano, Bellinzona, Thun) pour la période 2012-2018; (2) des données agrégées pour modéliser la durabilité de l’apiculture urbaine. Données sur: (1) répartition spatiale de l’apiculture urbaine (nombre de ruches et nombre de sites apicoles) dans 14 villes suisses (Genève, Lausanne, Biel, Neuchatel, Bâle, Zurich, Chur, Luzern, St Gallen, Winterthur, Berne, Lugano, Bellinzona, Thun) pour la période 2012-2018; (2) des données agrégées pour modéliser la durabilité de l’apiculture urbaine. Données sur: (1) répartition spatiale de l’apiculture urbaine (nombre de ruches et nombre de sites apicoles) dans 14 villes suisses (Genève, Lausanne, Biel, Neuchatel, Bâle, Zurich, Chur, Luzern, St Gallen, Winterthur, Berne, Lugano, Bellinzona, Thun) pour la période 2012-2018; (2) des données agrégées pour modéliser la durabilité de l’apiculture urbaine. Údaje o: (1) prostorové rozložení včelařství (počet úlů a počet včelařských lokalit) ve 14 švýcarských městech (Ženeva, Lausanne, Biel, Neuchatel, Basilej, Curych, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) na období 2012–2018; (2) souhrnné údaje pro modelování udržitelnosti včelařství ve městech. Údaje o: (1) prostorové rozložení včelařství (počet úlů a počet včelařských lokalit) ve 14 švýcarských městech (Ženeva, Lausanne, Biel, Neuchatel, Basilej, Curych, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) na období 2012–2018; (2) souhrnné údaje pro modelování udržitelnosti včelařství ve městech. Údaje o: (1) prostorové rozložení včelařství (počet úlů a počet včelařských lokalit) ve 14 švýcarských městech (Ženeva, Lausanne, Biel, Neuchatel, Basilej, Curych, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) na období 2012–2018; (2) souhrnné údaje pro modelování udržitelnosti včelařství ve městech. Data dwar: (1) id-distribuzzjoni spazjali tal-apikultura urbana (l-għadd ta’ doqqajs u n-numru ta’ postijiet tat-trobbija tan-naħal) f’14-il belt Svizzera (Ġinevra, Lausanne, Biel, Neuchatel, Basel, Zurich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) għall-perjodu 2012–2018; (2) dejta aggregata biex timmudella s-sostenibbiltà tat-trobbija urbana tan-naħal. Data dwar: (1) id-distribuzzjoni spazjali tal-apikultura urbana (l-għadd ta’ doqqajs u n-numru ta’ postijiet tat-trobbija tan-naħal) f’14-il belt Svizzera (Ġinevra, Lausanne, Biel, Neuchatel, Basel, Zurich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) għall-perjodu 2012–2018; (2) dejta aggregata biex timmudella s-sostenibbiltà tat-trobbija urbana tan-naħal. Daten zu: (1) räumliche Verteilung der Bienenzucht (Anzahl der Bienenstöcke und Anzahl der Imkereistandorte) in 14 Schweizer Städten (Genf, Lausanne, Biel, Neuchatel, Basel, Zürich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) für den Zeitraum 2012-2018; (2) aggregierte Daten zur Modellierung der Nachhaltigkeit der städtischen Bienenzucht. Daten zu: (1) räumliche Verteilung der Bienenzucht (Anzahl der Bienenstöcke und Anzahl der Imkereistandorte) in 14 Schweizer Städten (Genf, Lausanne, Biel, Neuchatel, Basel, Zürich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) für den Zeitraum 2012-2018; (2) aggregierte Daten zur Modellierung der Nachhaltigkeit der städtischen Bienenzucht. Sonraí maidir le: (1) dáileadh spásúil na beachaireachta uirbí (líon na gcoirceog agus líon na láithreacha beachaireachta) i 14 chathair na hEilvéise (an Ghinéiv, Lausanne, Biel, Neuchatel, Basel, Zurich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) don tréimhse 2012-2018; (2) sonraí comhiomlánaithe chun inbhuanaitheacht na beachaireachta uirbí a shamhaltú. Gegevens over: (1) ruimtelijke verdeling van de stedelijke bijenteelt (aantal bijenkasten en aantal bijenteeltlocaties) in 14 Zwitserse steden (Geneva, Lausanne, Biel, Neuchatel, Bazel, Zürich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) voor de periode 2012-2018; (2) geaggregeerde gegevens om de duurzaamheid van de stedelijke bijenteelt te modelleren. Dane dotyczące: 1) rozmieszczenie przestrzenne pszczelarstwa miejskiego (liczba uli i liczba miejsc pszczelarskich) w 14 miastach Szwajcarii (Genewa, Lozanna, Biel, Neuchatel, Bazylea, Zurych, Chur, Luzern, St. Gallen, Winterthur, Berno, Lugano, Bellinzona, Thun) w latach 2012–2018; 2) dane zagregowane w celu modelowania zrównoważonego rozwoju pszczelarstwa miejskiego. Tiedot seuraavista: 1) kaupunkien mehiläishoidon alueellinen jakautuminen (pesien lukumäärä ja mehiläishoitopaikkojen lukumäärä) 14 Sveitsin kaupungissa (Geneva, Lausanne, Biel, Neuchatel, Basel, Zürich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) vuosina 2012–2018; (2) aggregoidut tiedot kaupunkien mehiläishoidon kestävyyden mallintamiseksi. Datos sobre: (1) distribución espacial de la apicultura urbana (número de colmenas y número de lugares de apicultura) en 14 ciudades suizas (Ginebra, Lausana, Biel, Neuchatel, Basilea, Zúrich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) para el período 2012-2018; (2) datos agregados para modelar la sostenibilidad de la apicultura urbana.

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    European Union Open Data Portal
    Dataset . 2022
    License: terms_open
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      European Union Open Data Portal
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    Authors: Hansen, Teis; Keaney, Monica; Bulkeley, Harriet A.; Cooper, Mark; +10 Authors

    This database includes more than 100 decarbonisation innovations in Paper, Plastic, Steel and Meat & Dairy sectors, across their value chains, as well as in Finance. For each innovation there is a description, information about its contribution to decarbonisation, actors and collaborators involved, sources of funding, drivers, (co)benefits and disadvantages. More information on the method for selecting innovations for the database is available here. The database was created as part of REINVENT – a Horizon 2020 research project funded by the European Commission (grant agreement 730053). REINVENT involves five research institutions from four countries: Lund University (Sweden), Durham University (United Kingdom), Wuppertal Institute (Germany), PBL Netherlands Environmental Assessment Agency (the Netherlands) and Utrecht University (the Netherlands). More information can be found on our website: www.reinvent-project.eu.

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    ZENODO
    Dataset . 2019
    License: CC BY NC ND
    Data sources: Datacite
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    ZENODO
    Dataset . 2019
    License: CC BY NC ND
    Data sources: ZENODO
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    ZENODO
    Dataset . 2019
    License: CC BY NC ND
    Data sources: Datacite
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    ZENODO
    Dataset . 2018
    Data sources: ZENODO
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    ZENODO
    Dataset . 2018
    License: CC BY NC ND
    Data sources: Datacite
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    ZENODO
    Dataset . 2019
    License: CC BY NC ND
    Data sources: Datacite
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      ZENODO
      Dataset . 2019
      License: CC BY NC ND
      Data sources: Datacite
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      ZENODO
      Dataset . 2019
      License: CC BY NC ND
      Data sources: ZENODO
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      ZENODO
      Dataset . 2019
      License: CC BY NC ND
      Data sources: Datacite
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      ZENODO
      Dataset . 2018
      Data sources: ZENODO
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      ZENODO
      Dataset . 2018
      License: CC BY NC ND
      Data sources: Datacite
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      ZENODO
      Dataset . 2019
      License: CC BY NC ND
      Data sources: Datacite
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    Authors: Doukas, Haris; Spiliotis, Evangelos; Jafari, Mohsen A.; Giarola, Sara; +1 Authors

    This dataset contains the underlying data for the following publication: Doukas, H., Spiliotis, E., Jafari, M. A., Giarola, S. & Nikas, A. (2021). Low-cost emissions cuts in container shipping: Thinking inside the box. Transportation Research Part D: Transport and Environment, 94, 102815, https://doi.org/10.1016/j.trd.2021.102815.

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    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: ZENODO
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      ZENODO
      Dataset . 2021
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Dataset . 2021
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Dataset . 2021
      License: CC BY
      Data sources: ZENODO
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    Input files for the ForClim model (version 4.0.1) used in the associated paper. They can be used to to reproduce results of the simulation study. The ForClim model, including the source code, executable and documentation, is freely available under an Open Access license from the website of the original developers at https://ites-fe.ethz.ch/openaccess/. The original climatic dataset used to generate the ForClim input climate files at each site in South Tyrol is freely available at https://doi.pangaea.de/10.1594/PANGAEA.924502 while the CHELSA climate data for future scenarios are available at https://www.chelsa-climate.org. If interested in using this dataset for a research study or a project, please contact Marco Mina ----------------------------------------------------------------------- Hillebrand L, Marzini S, Crespi A, Hiltner U & Mina M (2023) Contrasting impacts of climate change on protection forests of the Italian Alps. Frontiers in Forests and Global Change, 6, 2023 https://doi.org/10.3389/ffgc.2023.1240235 ABSTRACT. Protection forests play a key role in protecting settlements, people, and infrastructures from gravitational hazards such as rockfalls and avalanches in mountain areas. Rapid climate change is challenging the role of protection forests by altering their dynamics, structure, and composition. Information on local- and regional-scale impacts of climate change on protection forests is critical for planning adaptations in forest management. We used a model of forest dynamics (ForClim) to assess the succession of mountain forests in the Eastern Alps and their protective effects under future climate change scenarios. We investigated eleven representative forest sites along an elevational gradient across multiple locations within an administrative region, covering wide differences in tree species structure, composition, altitude, and exposition. We evaluated protective performance against rockfall and avalanches using numerical indices (i.e., linker functions) quantifying the degree of protection from metrics of simulated forest structure and composition. Our findings reveal that climate warming has a contrasting impact on protective effects in mountain forests of the Eastern Alps. Climate change is likely to not affect negatively all protection forest stands but its impact depends on site and stand conditions. Impacts were highly contingent to the magnitude of climate warming, with increasing criticality under the most severe climate projections. Forests in lower-montane elevations and those located in dry continental valleys showed drastic changes in forest structure and composition due to drought-induced mortality while subalpine forests mostly profited from rising temperatures and a longer vegetation period. Overall, avalanche protection will likely be negatively affected by climate change, while the ability of forests to maintain rockfall protection depends on the severity of expected climate change and their vulnerability due to elevation and topography, with most subalpine forests less prone to loosing protective effects. Proactive measures in management should be taken in the near future to avoid losses of protective effects in the case of severe climate change in the Alps. Given the heterogeneous impact of climate warming, such adaptations can be aided by model-based projections and high local resolution studies to identify forest stand types that might require management priority for maintaining protective effects in the future.

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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: ZENODO
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      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: Datacite
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    La planta media europea de residuos a energía (WtE) se define sobre la base del tratamiento de los residuos sólidos urbanos (MSW) medios europeos. El tratamiento térmico de una sola fracción de residuos como el papel o el plástico o incluso residuos específicos como la poliamida 6 no se realiza en realidad en una planta WtE para MSW. Los residuos se homogeneizan siempre para obtener un valor calorífico relativo constante y cumplir con las normas de emisión. No obstante, el modelo utilizado y los ajustes utilizados para el RMS medio permiten atribuir la carga ambiental (emisiones y también el consumo de recursos de los auxiliares) a la producción de energía, así como los créditos (exportación de chatarra de metal) a una sola fracción o residuos específicos incinerados dentro de un RMS medio.Por lo tanto, los datos de LCI son válidos para el tratamiento de los residuos específicos dentro de un RMS promedio (la proporción de la fracción de residuos del RMS se muestra en el gráfico circular de abajo, la composición elemental en el primer cuadro a continuación). La siguiente descripción de la tecnología explica los ajustes y la tecnología de la planta de WtE promedio utilizada para generar el conjunto de datos LCI. El valor calorífico neto y la composición elemental de la fracción de residuos o residuos específicos se muestran en los cuadros siguientes (véase la columna correspondiente en las tablas). El conjunto de datos cubre todos los pasos/tecnologías relevantes del proceso a lo largo de la cadena de suministro del inventario de la cuna a puerta representada con una buena calidad general de datos. El inventario se basa principalmente en datos de la industria y se completa, cuando sea necesario, con datos secundarios. Sinónimos: Residuos energéticos de plásticos (Nylon 6 GF 30, Nylon 66 GF 30) Finalidad técnica: Servicio estándar de tratamiento al final de su vida útil para una fracción de residuos específica mediante tratamiento térmico. Representación geográfica: UE-27 La planta media europea de residuos a energía (WtE) se define sobre la base del tratamiento de los residuos sólidos urbanos (MSW) medios europeos. El tratamiento térmico de una sola fracción de residuos como el papel o el plástico o incluso residuos específicos como la poliamida 6 no se realiza en realidad en una planta WtE para MSW. Los residuos se homogeneizan siempre para obtener un valor calorífico relativo constante y cumplir con las normas de emisión. No obstante, el modelo utilizado y los ajustes utilizados para el RMS medio permiten atribuir la carga ambiental (emisiones y también el consumo de recursos de los auxiliares) a la producción de energía, así como los créditos (exportación de chatarra de metal) a una sola fracción o residuos específicos incinerados dentro de un RMS medio. Por lo tanto, los datos de LCI son válidos para el tratamiento de los residuos específicos dentro de un RMS promedio (la proporción de la fracción de residuos del RMS se muestra en el gráfico circular de abajo, la composición elemental en el primer cuadro a continuación).La siguiente descripción de la tecnología explica los ajustes y la tecnología de la planta de WtE promedio utilizada para generar el conjunto de datos LCI. El valor calorífico neto y la composición elemental de la fracción de residuos o residuos específicos se muestran en los cuadros siguientes (véase la columna correspondiente en las tablas). El conjunto de datos cubre todos los pasos/tecnologías relevantes del proceso a lo largo de la cadena de suministro del inventario de la cuna a puerta representada con una buena calidad general de datos. El inventario se basa principalmente en datos de la industria y se completa, cuando sea necesario, con datos secundarios. Sinónimos: Residuos energéticos de plásticos (Nylon 6 GF 30, Nylon 66 GF 30) Finalidad técnica: Servicio estándar de tratamiento al final de su vida útil para una fracción de residuos específica mediante tratamiento térmico. Representación geográfica: UE-27 La planta media europea de residuos a energía (WtE) se define sobre la base del tratamiento de los residuos sólidos urbanos (MSW) medios europeos. El tratamiento térmico de una sola fracción de residuos como el papel o el plástico o incluso residuos específicos como la poliamida 6 no se realiza en realidad en una planta WtE para MSW. Los residuos se homogeneizan siempre para obtener un valor calorífico relativo constante y cumplir con las normas de emisión. No obstante, el modelo utilizado y los ajustes utilizados para el RMS medio permiten atribuir la carga ambiental (emisiones y también el consumo de recursos de los auxiliares) a la producción de energía, así como los créditos (exportación de chatarra de metal) a una sola fracción o residuos específicos incinerados dentro de un RMS medio.Por lo tanto, los datos de LCI son válidos para el tratamiento de los residuos específicos dentro de un RMS promedio (la proporción de la fracción de residuos del RMS se muestra en el gráfico circular de abajo, la composición elemental en el primer cuadro a continuación). La siguiente descripción de la tecnología explica los ajustes y la tecnología de la planta de WtE promedio utilizada para generar el conjunto de datos LCI. El valor calorífico neto y la composición elemental de la fracción de residuos o residuos específicos se muestran en los cuadros siguientes (véase la columna correspondiente en las tablas). El conjunto de datos cubre todos los pasos/tecnologías relevantes del proceso a lo largo de la cadena de suministro del inventario de la cuna a puerta representada con una buena calidad general de datos.El inventario se basa principalmente en datos de la industria y se completa, cuando sea necesario, con datos secundarios. Sinónimos: Residuos energéticos de plásticos (Nylon 6 GF 30, Nylon 66 GF 30) Finalidad técnica: Servicio estándar de tratamiento al final de su vida útil para una fracción de residuos específica mediante tratamiento térmico. Representación geográfica: UE-27 A central europeia média de resíduos para energia (WtE) é definida com base no tratamento da média europeia de resíduos sólidos urbanos (MSW). O tratamento térmico de uma única fração de resíduos, como papel ou plástico, ou mesmo resíduos específicos, como a poliamida 6, não é, na realidade, feito numa instalação WtE para RSU. Os resíduos são sempre homogeneizados para obter um poder calorífico constante relativo e para cumprir as normas de emissão. No entanto, o modelo utilizado e os parâmetros utilizados para os RSU médios permitem atribuir a carga ambiental (emissões e também o consumo de recursos dos auxiliares) à produção de energia, bem como os créditos (exportação de sucata metálica) a uma única fração ou a resíduos específicos incinerados dentro de um RSU médio. Por conseguinte, os dados do ICM são válidos para o tratamento dos resíduos específicos no âmbito de um RSU médio (a parte da fração de resíduos dos RSU é apresentada no gráfico de tartes abaixo, a composição elementar no primeiro quadro abaixo). A descrição tecnológica a seguir explica as configurações e a tecnologia da fábrica média de WtE utilizada para gerar o conjunto de dados do LCI. O poder calorífico inferior e a composição elementar da fração de resíduos ou dos resíduos específicos são apresentados nos quadros abaixo (ver coluna correspondente nos quadros). O conjunto de dados abrange todas as etapas/tecnologias relevantes do processo ao longo da cadeia de abastecimento do inventário do berço ao portão representado, com uma boa qualidade geral dos dados. O inventário baseia-se principalmente em dados da indústria e é completado, sempre que necessário, por dados secundários. Sinônimos: Resíduos energéticos de plásticos (Nylon 6 GF 30, Nylon 66 GF 30) Finalidade técnica: Serviço padrão de tratamento em fim de vida para uma fração de resíduos específica através de tratamento térmico. Representação geográfica:UE-27Os resíduos são sempre homogeneizados para obter um poder calorífico constante relativo e para cumprir as normas de emissão. No entanto, o modelo utilizado e os parâmetros utilizados para os RSU médios permitem atribuir a carga ambiental (emissões e também o consumo de recursos dos auxiliares) à produção de energia, bem como os créditos (exportação de sucata metálica) a uma única fração ou a resíduos específicos incinerados dentro de um RSU médio. Por conseguinte, os dados do ICM são válidos para o tratamento dos resíduos específicos no âmbito de um RSU médio (a parte da fração de resíduos dos RSU é apresentada no gráfico de tartes abaixo, a composição elementar no primeiro quadro abaixo). A descrição tecnológica a seguir explica as configurações e a tecnologia da fábrica média de WtE utilizada para gerar o conjunto de dados do LCI. O poder calorífico inferior e a composição elementar da fração de resíduos ou dos resíduos específicos são apresentados nos quadros abaixo (ver coluna correspondente nos quadros).O conjunto de dados abrange todas as etapas/tecnologias relevantes do processo ao longo da cadeia de abastecimento do inventário do berço ao portão representado, com uma boa qualidade geral dos dados. O inventário baseia-se principalmente em dados da indústria e é completado, sempre que necessário, por dados secundários. Sinônimos: Resíduos energéticos de plásticos (Nylon 6 GF 30, Nylon 66 GF 30) Finalidade técnica: Serviço padrão de tratamento em fim de vida para uma fração de resíduos específica através de tratamento térmico. Representação geográfica: UE-27 L'impianto medio europeo di Waste-to-Energy (WtE) è definito in base al trattamento dei rifiuti solidi urbani medi europei (MSW). Il trattamento termico di una singola frazione di scarto come carta o plastica o anche rifiuti specifici come la poliammide 6 non viene fatto in realtà in un impianto WtE per MSW. I rifiuti vengono sempre omogeneizzati per ottenere un relativo potere calorifico costante e per rispettare gli standard di emissione. Tuttavia, il modello utilizzato e le impostazioni utilizzate per la RMS media consentono di attribuire l'onere ambientale (emissioni e anche il consumo di risorse di energia ausiliari) nonché i crediti (esportazione di rottami metallici) a una singola frazione o a rifiuti specifici inceneriti all'interno di una RMS media. Pertanto i dati LCI sono validi per il trattamento dei rifiuti specifici all'interno di una MSW media (la quota di frazione di rifiuti del MSW è mostrata nel grafico a torta sottostante, la composizione elementare nella prima tabella sottostante). La seguente descrizione della tecnologia spiega le impostazioni e la tecnologia dell'impianto WtE medio utilizzato per generare il set di dati LCI. Il potere calorifico netto e la composizione elementare della frazione di rifiuto o dei rifiuti specifici sono riportati nelle tabelle sottostanti (cfr. colonna corrispondente nelle tabelle). Il set di dati copre tutte le fasi/tecnologie di processo rilevanti lungo la catena di approvvigionamento dell'inventario della culla per gate rappresentata con una buona qualità complessiva dei dati. L'inventario si basa principalmente sui dati del settore ed è completato, ove necessario, da dati secondari. Sinonimi: Rifiuti di materie plastiche (Nylon 6 GF 30, Nylon 66 GF 30) Scopo tecnico: Servizio di trattamento standard di fine vita per una frazione specifica di rifiuti tramite trattamento termico. Rappresentanza geografica:UE-27I rifiuti vengono sempre omogeneizzati per ottenere un relativo potere calorifico costante e per rispettare gli standard di emissione. Tuttavia, il modello utilizzato e le impostazioni utilizzate per la RMS media consentono di attribuire l'onere ambientale (emissioni e anche il consumo di risorse di energia ausiliari) nonché i crediti (esportazione di rottami metallici) a una singola frazione o a rifiuti specifici inceneriti all'interno di una RMS media. Pertanto i dati LCI sono validi per il trattamento dei rifiuti specifici all'interno di una MSW media (la quota di frazione di rifiuti del MSW è mostrata nel grafico a torta sottostante, la composizione elementare nella prima tabella sottostante). La seguente descrizione della tecnologia spiega le impostazioni e la tecnologia dell'impianto WtE medio utilizzato per generare il set di dati LCI. Il potere calorifico netto e la composizione elementare della frazione di rifiuto o dei rifiuti specifici sono riportati nelle tabelle sottostanti (cfr. colonna corrispondente nelle tabelle).Il set di dati copre tutte le fasi/tecnologie di processo rilevanti lungo la catena di approvvigionamento dell'inventario della culla per gate rappresentata con una buona qualità complessiva dei dati. L'inventario si basa principalmente sui dati del settore ed è completato, ove necessario, da dati secondari. Sinonimi: Rifiuti di materie plastiche (Nylon 6 GF 30, Nylon 66 GF 30) Scopo tecnico: Servizio di trattamento standard di fine vita per una frazione specifica di rifiuti tramite trattamento termico. Rappresentanza geografica: UE-27 Media europeană a deșeurilor în energie (WtE) este definită pe baza tratării deșeurilor municipale solide medii europene (MSW). Tratamentul termic al unei singure fracții de deșeuri, cum ar fi hârtia sau plasticul sau chiar deșeurile specifice, cum ar fi Polyamide 6, nu se realizează în realitate într-o instalație WtE pentru MSW. Deșeurile sunt întotdeauna omogenizate pentru a obține o putere calorifică relativ constantă și pentru a respecta standardele de emisie. Cu toate acestea, modelul utilizat și setările utilizate pentru MSW medii permit atribuirea sarcinii de mediu (emisii și, de asemenea, consumul de resurse al agenților auxiliari), precum și a creditelor (exportul deșeurilor metalice) unei singure fracții sau deșeurilor specifice incinerate în cadrul unui MSW mediu. Prin urmare, datele LCI sunt valabile pentru tratarea deșeurilor specifice într-un mediu MSW (partea fracției de deșeuri din MSW este prezentată în diagrama plăcintă de mai jos, compoziția elementară din primul tabel de mai jos). Următoarea descriere a tehnologiei explică setările și tehnologia uzinei medii WtE utilizate pentru generarea setului de date LCI. Puterea calorifică netă și compoziția elementară a fracțiunii de deșeuri sau a deșeurilor specifice sunt prezentate în tabelele de mai jos (a se vedea coloana corespunzătoare din tabele). Setul de date acoperă toate etapele/tehnologiile relevante ale procesului de-a lungul lanțului de aprovizionare al inventarului leagan în poarta reprezentată, cu o bună calitate generală a datelor. Inventarul se bazează în principal pe date din industrie și este completat, dacă este necesar, de date secundare. Sinonime: Deșeuri în energie ale materialelor plastice (Nylon 6 GF 30, Nylon 66 GF 30) Scop tehnic: Serviciul standard de tratare la sfârșitul ciclului de viață pentru o fracțiune specifică de deșeuri prin tratare termică. Reprezentarea geografică:UE-27Deșeurile sunt întotdeauna omogenizate pentru a obține o putere calorifică relativ constantă și pentru a respecta standardele de emisie. Cu toate acestea, modelul utilizat și setările utilizate pentru MSW medii permit atribuirea sarcinii de mediu (emisii și, de asemenea, consumul de resurse al agenților auxiliari), precum și a creditelor (exportul deșeurilor metalice) unei singure fracții sau deșeurilor specifice incinerate în cadrul unui MSW mediu. Prin urmare, datele LCI sunt valabile pentru tratarea deșeurilor specifice într-un mediu MSW (partea fracției de deșeuri din MSW este prezentată în diagrama plăcintă de mai jos, compoziția elementară din primul tabel de mai jos). Următoarea descriere a tehnologiei explică setările și tehnologia uzinei medii WtE utilizate pentru generarea setului de date LCI. Puterea calorifică netă și compoziția elementară a fracțiunii de deșeuri sau a deșeurilor specifice sunt prezentate în tabelele de mai jos (a se vedea coloana corespunzătoare din tabele).Setul de date acoperă toate etapele/tehnologiile relevante ale procesului de-a lungul lanțului de aprovizionare al inventarului leagan în poarta reprezentată, cu o bună calitate generală a datelor. Inventarul se bazează în principal pe date din industrie și este completat, dacă este necesar, de date secundare. Sinonime: Deșeuri în energie ale materialelor plastice (Nylon 6 GF 30, Nylon 66 GF 30) Scop tehnic: Serviciul standard de tratare la sfârșitul ciclului de viață pentru o fracțiune specifică de deșeuri prin tratare termică. Reprezentarea geografică: UE-27 Європейський середній завод з виробництва відходів (WtE) визначається на основі поводження з середньоєвропейськими твердими побутовими відходами (ТПВ). Термічна обробка однієї фракції відходів, таких як папір, пластик або навіть специфічні відходи, такі як поліамід 6, насправді не проводиться на заводі WtE для ТПВ. Відходи завжди гомогенізуються, щоб отримати відносну постійну теплотворну цінність і відповідати стандартам викидів.Тим не менш, використовувана модель і використовувані параметри для середньої ТПВ дозволяють віднести екологічне навантаження (викиди, а також споживання ресурсів допоміжних засобів) виробництва енергії, а також кредити (експорт металобрухту) до однієї фракції або конкретних відходів, спалених в межах середньої ТПВ. Тому дані LCI дійсні для обробки конкретних відходів в межах середнього ТПВ (частка відходів ТПВ показана в круговій діаграмі нижче, елементарної композиції в першій таблиці нижче). Наступний опис технології пояснює налаштування та технологію середнього заводу WtE, який використовується для створення набору даних LCI. Чиста теплотворна цінність і елементарний склад фракції відходів або конкретних відходів показані в таблицях нижче (див. відповідну колонку в таблицях). Набір даних охоплює всі відповідні етапи процесу / технології в ланцюжку поставок представленої колиски до інвентаризації воріт з хорошою загальною якістю даних. Інвентаризація в основному базується на галузевих даних і завершується, коли це необхідно, вторинними даними. Синоніми: Відходи до енергії пластмас (Нейлон 6 GF 30, нейлон 66 GF 30) Технічне призначення: Стандартний термін служби обробки для конкретної фракції відходів шляхом термічної обробки. Географічне представництво: ЄС-27 Європейський середній завод з виробництва відходів (WtE) визначається на основі поводження з середньоєвропейськими твердими побутовими відходами (ТПВ). Термічна обробка однієї фракції відходів, таких як папір, пластик або навіть специфічні відходи, такі як поліамід 6, насправді не проводиться на заводі WtE для ТПВ.Відходи завжди гомогенізуються, щоб отримати відносну постійну теплотворну цінність і відповідати стандартам викидів. Тим не менш, використовувана модель і використовувані параметри для середньої ТПВ дозволяють віднести екологічне навантаження (викиди, а також споживання ресурсів допоміжних засобів) виробництва енергії, а також кредити (експорт металобрухту) до однієї фракції або конкретних відходів, спалених в межах середньої ТПВ. Тому дані LCI дійсні для обробки конкретних відходів в межах середнього ТПВ (частка відходів ТПВ показана в круговій діаграмі нижче, елементарної композиції в першій таблиці нижче). Наступний опис технології пояснює налаштування та технологію середнього заводу WtE, який використовується для створення набору даних LCI. Чиста теплотворна цінність і елементарний склад фракції відходів або конкретних відходів показані в таблицях нижче (див. відповідну колонку в таблицях). Набір даних охоплює всі відповідні етапи процесу / технології в ланцюжку поставок представленої колиски до інвентаризації воріт з хорошою загальною якістю даних.Інвентаризація в основному базується на галузевих даних і завершується, коли це необхідно, вторинними даними. Синоніми: Відходи до енергії пластмас (Нейлон 6 GF 30, нейлон 66 GF 30) Технічне призначення: Стандартний термін служби обробки для конкретної фракції відходів шляхом термічної обробки. Географічне представництво: ЄС-27 Den genomsnittliga europeiska avfalls-till-energianläggningen (WtE) definieras på grundval av behandlingen av genomsnittligt kommunalt fast avfall i Europa. Termisk behandling av en enda avfallsfraktion som papper eller plast eller till och med specifikt avfall som Polyamid 6 sker inte i verkligheten i en WtE-anläggning för hushållsavfall. Avfallet är alltid homogeniserat för att uppnå ett relativt konstant värmevärde och uppfylla utsläppsnormerna. Den använda modellen och de använda inställningarna för det genomsnittliga maskinavfallet gör det dock möjligt att tillskriva energiproduktionen (utsläpp och resursförbrukning) energiproduktion samt krediter (export av metallskrot) till en enda fraktion eller specifikt avfall som förbränns inom ett genomsnittligt kommunalt avfall. LCI-uppgifterna är därför giltiga för behandling av det specifika avfallet inom ett genomsnittligt kommunalt avfall (avfallsfraktionens andel av kommunalt avfall visas i cirkeldiagrammet nedan, den elementära sammansättningen i den första tabellen nedan). Följande teknikbeskrivning förklarar inställningarna och tekniken för den genomsnittliga WtE-anläggningen som används för att generera LCI-datauppsättningen. Nettovärmevärdet och den elementära sammansättningen av avfallsfraktionen eller det specifika avfallet visas i tabellerna nedan (se motsvarande kolumn i tabellerna). Datauppsättningen omfattar alla relevanta processsteg/tekniker över leveranskedjan för den representerade vaggan till grindinventering med en god övergripande datakvalitet. Inventeringen baseras huvudsakligen på branschdata och kompletteras vid behov med sekundärdata. Synonymer: Avfall till energi från plast (Nylon 6 GF 30, Nylon 66 GF 30) Tekniskt syfte: Standardbehandlingstjänst för uttjänta produkter för en specifik avfallsfraktion genom termisk behandling. Geografisk representation:EU-27Avfallet är alltid homogeniserat för att uppnå ett relativt konstant värmevärde och uppfylla utsläppsnormerna. Den använda modellen och de använda inställningarna för det genomsnittliga maskinavfallet gör det dock möjligt att tillskriva energiproduktionen (utsläpp och resursförbrukning) energiproduktion samt krediter (export av metallskrot) till en enda fraktion eller specifikt avfall som förbränns inom ett genomsnittligt kommunalt avfall. LCI-uppgifterna är därför giltiga för behandling av det specifika avfallet inom ett genomsnittligt kommunalt avfall (avfallsfraktionens andel av kommunalt avfall visas i cirkeldiagrammet nedan, den elementära sammansättningen i den första tabellen nedan). Följande teknikbeskrivning förklarar inställningarna och tekniken för den genomsnittliga WtE-anläggningen som används för att generera LCI-datauppsättningen. Nettovärmevärdet och den elementära sammansättningen av avfallsfraktionen eller det specifika avfallet visas i tabellerna nedan (se motsvarande kolumn i tabellerna).Datauppsättningen omfattar alla relevanta processsteg/tekniker över leveranskedjan för den representerade vaggan till grindinventering med en god övergripande datakvalitet. Inventeringen baseras huvudsakligen på branschdata och kompletteras vid behov med sekundärdata. Synonymer: Avfall till energi från plast (Nylon 6 GF 30, Nylon 66 GF 30) Tekniskt syfte: Standardbehandlingstjänst för uttjänta produkter för en specifik avfallsfraktion genom termisk behandling. Geografisk representation: EU-27 Eiropas vidējo atkritumu pārvēršanas elektrostaciju (WtE) nosaka, pamatojoties uz Eiropas vidējo cieto sadzīves atkritumu (MSW) apstrādi. Vienas atkritumu frakcijas, piemēram, papīra vai plastmasas, vai pat specifisku atkritumu, piemēram, poliamīda 6, termiskā apstrāde faktiski netiek veikta WtE rūpnīcā CSA vajadzībām. Atkritumus vienmēr homogenizē, lai iegūtu relatīvi nemainīgu siltumspēju un atbilstu emisiju standartiem.Tomēr vidējais CSA izmantotais modelis un izmantotie iestatījumi ļauj attiecināt vides slogu (palīgierīču emisijas un arī resursu patēriņu) enerģijas ražošanu, kā arī kredītus (metālu lūžņu eksportu) vienai frakcijai vai konkrētiem atkritumiem, kas sadedzināti vidējos CSA. Tāpēc DII dati ir derīgi, lai apstrādātu konkrētos atkritumus vidējā CSA (atkritumu frakcijas daļa ir norādīta zem pīrāga diagrammas, pirmās tabulas elementārais sastāvs). Tālāk sniegtais tehnoloģiju apraksts izskaidro vidējās WtE rūpnīcas iestatījumus un tehnoloģiju, ko izmanto DII datu kopas ģenerēšanai. Atkritumu frakcijas vai īpašo atkritumu zemākā siltumspēja un elementārais sastāvs ir parādīts tabulās zem (sk. attiecīgo sleju tabulās). Datu kopa aptver visus attiecīgos procesa posmus/tehnoloģijas visā pārstāvētā “no šūpuļa līdz vārtiem” krājumu piegādes ķēdē ar labu vispārējo datu kvalitāti. Inventarizācija galvenokārt balstās uz nozares datiem, un vajadzības gadījumā to papildina ar sekundāriem datiem. Sinonīmi: Plastmasas atkritumi enerģijā (Nylon 6 GF 30, Nylon 66 GF 30) Tehniskais mērķis: Standarta poligona beigu apstrādes pakalpojums konkrētai atkritumu frakcijai, izmantojot termisko apstrādi. Ģeogrāfiskā pārstāvība: ES-27 Eiropas vidējo atkritumu pārvēršanas elektrostaciju (WtE) nosaka, pamatojoties uz Eiropas vidējo cieto sadzīves atkritumu (MSW) apstrādi. Vienas atkritumu frakcijas, piemēram, papīra vai plastmasas, vai pat specifisku atkritumu, piemēram, poliamīda 6, termiskā apstrāde faktiski netiek veikta WtE rūpnīcā CSA vajadzībām.Atkritumus vienmēr homogenizē, lai iegūtu relatīvi nemainīgu siltumspēju un atbilstu emisiju standartiem. Tomēr vidējais CSA izmantotais modelis un izmantotie iestatījumi ļauj attiecināt vides slogu (palīgierīču emisijas un arī resursu patēriņu) enerģijas ražošanu, kā arī kredītus (metālu lūžņu eksportu) vienai frakcijai vai konkrētiem atkritumiem, kas sadedzināti vidējos CSA. Tāpēc DII dati ir derīgi, lai apstrādātu konkrētos atkritumus vidējā CSA (atkritumu frakcijas daļa ir norādīta zem pīrāga diagrammas, pirmās tabulas elementārais sastāvs). Tālāk sniegtais tehnoloģiju apraksts izskaidro vidējās WtE rūpnīcas iestatījumus un tehnoloģiju, ko izmanto DII datu kopas ģenerēšanai. Atkritumu frakcijas vai īpašo atkritumu zemākā siltumspēja un elementārais sastāvs ir parādīts tabulās zem (sk. attiecīgo sleju tabulās). Datu kopa aptver visus attiecīgos procesa posmus/tehnoloģijas visā pārstāvētā “no šūpuļa līdz vārtiem” krājumu piegādes ķēdē ar labu vispārējo datu kvalitāti.Inventarizācija galvenokārt balstās uz nozares datiem, un vajadzības gadījumā to papildina ar sekundāriem datiem. Sinonīmi: Plastmasas atkritumi enerģijā (Nylon 6 GF 30, Nylon 66 GF 30) Tehniskais mērķis: Standarta poligona beigu apstrādes pakalpojums konkrētai atkritumu frakcijai, izmantojot termisko apstrādi. Ģeogrāfiskā pārstāvība: ES-27 Evropski povprečni obrat za odpadno energijo (WtE) je opredeljen na podlagi obdelave povprečnih evropskih komunalnih trdnih odpadkov. Toplotna obdelava posamezne frakcije odpadkov, kot sta papir ali plastika ali celo posebni odpadki, kot je poliamid 6, se v obratu za komunalne odpadke dejansko ne izvaja. Odpadki se vedno homogenizirajo, da se dobi relativna konstantna kalorična vrednost in da se upoštevajo emisijski standardi. Kljub temu uporabljeni model in uporabljene nastavitve za povprečne komunalne odpadke omogočajo, da se okoljska obremenitev (emisije in tudi poraba virov pomožnih pripomočkov) kot tudi dobropisi (izvoz odpadnih kovin) pripišejo eni sami frakciji ali posebnim odpadkom, ki se sežigajo v povprečnih komunalnih odpadkih. Zato podatki ISD veljajo za obdelavo določenih odpadkov v okviru povprečnega komunalnega komunalnega odpadkov (delež frakcij odpadkov v komunalnih odpadkih je prikazan v spodnjem tortnem diagramu, osnovna sestava v prvi tabeli spodaj). V naslednjem opisu tehnologije so pojasnjene nastavitve in tehnologija povprečne tovarne WtE, ki se uporablja za ustvarjanje nabora podatkov ISD. Neto kalorična vrednost in osnovna sestava frakcije odpadkov ali posebnih odpadkov sta prikazani v spodnjih tabelah (glej ustrezni stolpec v tabelah). Podatkovni niz zajema vse ustrezne korake/tehnologije postopka v dobavni verigi zastopane zibelke do inventarja z dobro splošno kakovostjo podatkov. Popis temelji predvsem na podatkih industrije in je po potrebi dopolnjen s sekundarnimi podatki. Sopomenke: Pridobivanje energije iz plastike (Nylon 6 GF 30, najlon 66 GF 30) Tehnični namen: Standardna storitev obdelave ob koncu življenjske dobe za določeno frakcijo odpadkov s toplotno obdelavo. Geografska zastopanost:EU-27Odpadki se vedno homogenizirajo, da se dobi relativna konstantna kalorična vrednost in da se upoštevajo emisijski standardi. Kljub temu uporabljeni model in uporabljene nastavitve za povprečne komunalne odpadke omogočajo, da se okoljska obremenitev (emisije in tudi poraba virov pomožnih pripomočkov) kot tudi dobropisi (izvoz odpadnih kovin) pripišejo eni sami frakciji ali posebnim odpadkom, ki se sežigajo v povprečnih komunalnih odpadkih. Zato podatki ISD veljajo za obdelavo določenih odpadkov v okviru povprečnega komunalnega komunalnega odpadkov (delež frakcij odpadkov v komunalnih odpadkih je prikazan v spodnjem tortnem diagramu, osnovna sestava v prvi tabeli spodaj). V naslednjem opisu tehnologije so pojasnjene nastavitve in tehnologija povprečne tovarne WtE, ki se uporablja za ustvarjanje nabora podatkov ISD. Neto kalorična vrednost in osnovna sestava frakcije odpadkov ali posebnih odpadkov sta prikazani v spodnjih tabelah (glej ustrezni stolpec v tabelah).Podatkovni niz zajema vse ustrezne korake/tehnologije postopka v dobavni verigi zastopane zibelke do inventarja z dobro splošno kakovostjo podatkov. Popis temelji predvsem na podatkih industrije in je po potrebi dopolnjen s sekundarnimi podatki. Sopomenke: Pridobivanje energije iz plastike (Nylon 6 GF 30, najlon 66 GF 30) Tehnični namen: Standardna storitev obdelave ob koncu življenjske dobe za določeno frakcijo odpadkov s toplotno obdelavo. Geografska zastopanost: EU-27 Ο ευρωπαϊκός μέσος ευρωπαϊκός σταθμός παραγωγής ενέργειας (WtE) ορίζεται με βάση την επεξεργασία των μέσων ευρωπαϊκών αστικών στερεών αποβλήτων (MSW). Η θερμική επεξεργασία ενός μόνο κλάσματος αποβλήτων όπως το χαρτί ή το πλαστικό ή ακόμη και συγκεκριμένα απόβλητα όπως το Polyamide 6 δεν γίνεται στην πραγματικότητα σε μονάδα WtE για MSW. Τα απόβλητα είναι πάντοτε ομογενοποιημένα ώστε να επιτυγχάνεται σχετική σταθερή θερμογόνος δύναμη και να συμμορφώνονται με τα πρότυπα εκπομπών. Ωστόσο, το χρησιμοποιούμενο μοντέλο και οι χρησιμοποιούμενες ρυθμίσεις για το μέσο MSW επιτρέπουν την απόδοση της περιβαλλοντικής επιβάρυνσης (εκπομπές και κατανάλωση πόρων από βοηθητικούς φορείς) της παραγωγής ενέργειας, καθώς και των πιστώσεων (εξαγωγή μεταλλικών απορριμμάτων) σε ένα μόνο κλάσμα ή σε συγκεκριμένα απόβλητα που αποτεφρώνονται μέσα σε ένα μέσο MSW. Ως εκ τούτου, τα δεδομένα LCI είναι έγκυρα για την επεξεργασία των συγκεκριμένων αποβλήτων στο πλαίσιο ενός μέσου MSW (το μερίδιο του κλάσματος αποβλήτων του MSW εμφανίζεται στο διάγραμμα πίτας κάτω, η στοιχειώδης σύνθεση στον πρώτο πίνακα κατωτέρω). Η ακόλουθη περιγραφή της τεχνολογίας εξηγεί τις ρυθμίσεις και την τεχνολογία του μέσου εργοστασίου WtE που χρησιμοποιείται για τη δημιουργία του συνόλου δεδομένων LCI. Η κατώτερη θερμογόνος δύναμη και η στοιχειώδης σύνθεση του κλάσματος αποβλήτων ή των ειδικών αποβλήτων παρουσιάζονται στους παρακάτω πίνακες (βλ. αντίστοιχη στήλη στους πίνακες). Το σύνολο δεδομένων καλύπτει όλα τα σχετικά στάδια/τεχνολογίες της διαδικασίας σε όλη την αλυσίδα εφοδιασμού του αντιπροσωπευόμενου λίκνου έως την πύλη απογραφής με καλή συνολική ποιότητα δεδομένων. Η απογραφή βασίζεται κυρίως σε δεδομένα του κλάδου και συμπληρώνεται, όπου είναι απαραίτητο, με δευτερεύοντα στοιχεία. Συνώνυμα: Απόβλητα σε ενέργεια από πλαστικά (νάυλον 6 GF 30, νάυλον 66 GF 30) ΤΕΧΝΙΚΟΣ ΣΚΟΠΟΣ: Τυποποιημένη υπηρεσία επεξεργασίας στο τέλος του κύκλου ζωής ενός συγκεκριμένου κλάσματος αποβλήτων μέσω θερμικής επεξεργασίας. Γεωγραφική Αντιπροσώπευση: ΕΕ-27 La moyenne européenne des déchets à l’énergie (WtE) est définie sur la base du traitement des déchets solides municipaux (MSW) européens moyens. Le traitement thermique d’une fraction de déchets unique comme le papier ou le plastique ou même des déchets spécifiques comme Polyamide 6 ne se fait pas en réalité dans une usine WtE pour MSW. Les déchets sont toujours homogénéisés pour obtenir un pouvoir calorifique relativement constant et pour se conformer aux normes d’émission. Néanmoins, le modèle utilisé et les paramètres utilisés pour le MSW moyen permettent d’attribuer la charge environnementale (émissions et consommation de ressources des auxiliaires) ainsi que les crédits (exportation de déchets métalliques) à une seule fraction ou à des déchets spécifiques incinérés dans un MSW moyen. Par conséquent, les données de l’ICL sont valables pour le traitement des déchets spécifiques à l’intérieur d’un MSW moyen (la part de la fraction de déchets du MSW est indiquée dans le tableau ci-dessous, la composition élémentaire dans le premier tableau ci-dessous). La description de la technologie suivante explique les paramètres et la technologie de l’usine WtE moyenne utilisée pour générer l’ensemble de données LCI. Le pouvoir calorifique net et la composition élémentaire de la fraction de déchets ou des déchets spécifiques sont indiqués dans les tableaux ci-dessous (voir la colonne correspondante dans les tableaux). L’ensemble de données couvre toutes les étapes/technologies pertinentes du processus sur la chaîne d’approvisionnement de l’inventaire de berceau à porte représenté avec une bonne qualité globale des données. L’inventaire est principalement basé sur les données de l’industrie et est complété, le cas échéant, par des données secondaires. Synonymes: Déchets énergétiques des matières plastiques (Nylon 6 GF 30, Nylon 66 GF 30) Objet technique: Service standard de traitement en fin de vie d’une fraction de déchets spécifique par traitement thermique. Représentation géographique: EU-27

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    Authors: Erika Michela Dematteis; David Michael Dreistadt; Giovanni Capurso; Julian Jepsen; +2 Authors

    Data type: Experimental measurements, correlations and Van't Hoff plot. Date format: .opj. Origin of the data: Experimental pressure composition isotherm measurements. Data generated by a home-made Sieverts’ type apparatus from CNRS, ICMPE, Thiais, France. Software needed to plot the data: Origin.

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    Absorption Koeffizient der farbigen detritalen Substanz bei 443nm (adg in m^-1 bei 4 km Auflösung): Der Absorptionskoeffizient adg stellt den Anteil des einfallenden Lichts dar, das sowohl von detritalen Partikeln als auch von farbiger gelöster organischer Substanz (CDOM) absorbiert wird. Gelöste organische Substanz ist ein wichtiger Bestandteil des ozeanischen Kohlenstoffkreislaufs. Es wird auch als Proxy verwendet, um die Auswirkungen von Terrigenous Inputs in Küstengewässern zu bewerten. Συντελεστής απορρόφησης της χρωματισμένης αποτριχωτικής ύλης στα 443nm (adg σε m^-1 σε ανάλυση 4 km): Ο συντελεστής απορρόφησης adg αντιπροσωπεύει το κλάσμα του προσπίπτοντος φωτός που απορροφάται τόσο από τα διακριτικά σωματίδια όσο και από τη χρωματισμένη διαλυμένη οργανική ύλη (CDOM). Η διαλυμένη οργανική ύλη είναι ένα σημαντικό συστατικό του ωκεάνιου κύκλου του άνθρακα. Χρησιμοποιείται επίσης ως υποκατάστατο για την εκτίμηση των επιπτώσεων των εδαφικών εισροών στα παράκτια ύδατα. Współczynnik absorpcji barwnej substancji detrytalnej przy 443 nm (adg w m^-1 przy rozdzielczości 4 km): Współczynnik absorpcji adg reprezentuje ułamek padającego światła pochłanianego zarówno przez cząstki detrytalne, jak i przez kolorowe rozpuszczone substancje organiczne (CDOM). Rozpuszczone materia organiczna jest ważnym składnikiem oceanicznego cyklu węgla. Jest on również wykorzystywany jako wskaźnik zastępczy do oceny wpływu czynników atmosferycznych w wodach przybrzeżnych. Coeficientul de absorbție al materiei detritale colorate la 443nm (adg în m^-1 la o rezoluție de 4 km): Coeficientul de absorbție adg reprezintă fracțiunea de lumină incidentă absorbită atât de particulele detritale, cât și de materia organică colorată dizolvată (CDOM). Materia organică dizolvată este o componentă importantă a ciclului carbonului oceanic. Acesta este, de asemenea, utilizat ca indicator pentru a evalua impactul factorilor de producție terrigeni în apele costiere. Assorbiment Koeffiċjent tal-materja detritali kkulurita f’443nm (adg f’m^-1 b’riżoluzzjoni ta’ 4 km): Il-koeffiċjent ta’ assorbiment adg jirrappreżenta l-frazzjoni ta’ dawl inċidentali assorbit kemm minn partiċelli detritali kif ukoll minn materja organika maħlula kkulurita (CDOM). Il-materja organika maħlula hija komponent importanti taċ-ċiklu tal-karbonju oċeaniku. Tintuża wkoll bħala indikatur biex jiġi vvalutat l-impatt tal-inputs terriġenużi fl-ilmijiet kostali. Coefficiente di assorbimento della materia detritale colorata a 443nm (adg in m^-1 a risoluzione di 4 km): Il coefficiente di assorbimento adg rappresenta la frazione di luce incidente assorbita sia dalle particelle detritali che dalla materia organica disciolta colorata (CDOM). La materia organica disciolta è una componente importante del ciclo del carbonio oceanico. Viene anche utilizzato come proxy per valutare l'impatto degli input terrigeni nelle acque costiere. Coeficiente de absorción de materia detrital de color a 443 nm (adg en m^-1 a 4 km de resolución): El coeficiente de absorción adg representa la fracción de luz incidente absorbida tanto por partículas detritales como por materia orgánica disuelta coloreada (CDOM). La materia orgánica disuelta es un componente importante del ciclo del carbono oceánico. También se utiliza como representante para evaluar el impacto de los insumos territoriales en las aguas costeras. Коефициент на абсорбция на цветна детритална материя при 443nm (adg в m^-1 при разделителна способност 4 km): Коефициентът на поглъщане adg представлява частта от падащата светлина, абсорбирана както от детритните частици, така и от оцветената разтворена органична материя (CDOM). Разтворената органична материя е важен компонент на океанския въглероден цикъл. Той се използва и като заместител за оценка на въздействието на теригенните суровини в крайбрежните води. Coefficient d’absorption de la matière détritique colorée à 443nm (adg en m^-1 à 4 km de résolution): Le coefficient d’absorption adg représente la fraction de lumière incidente absorbée à la fois par les particules détritales et par la matière organique dissoute colorée (CDOM). La matière organique dissoute est une composante importante du cycle du carbone océanique. Il sert également de proxy pour évaluer l’impact des apports terriens dans les eaux côtières. Absorptiecoëfficiënt van gekleurde detritale materie bij 443nm (adg in m^-1 bij 4 km resolutie): De absorptiecoëfficiënt adg vertegenwoordigt de fractie van invallend licht geabsorbeerd door zowel detritale deeltjes als gekleurd opgelost organisch materiaal (CDOM). Opgelost organisch materiaal is een belangrijk onderdeel van de oceanische koolstofcyclus. Het wordt ook gebruikt als volmacht om de impact van terrigeneuze inputs in kustwateren te beoordelen.

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    Authors: Gadde, Karthik; Mampuys, Pieter; Guidetti, Andrea; H. Y. Vincent Ching; +4 Authors

    Origin of the data: Experimental spectroscopic measurements Data Type: experimental measurements, open access supporting information The data are in CSV, DSW and FBSW format. Supporting information are supplied in PDF format. Data generated by instruments: Varian Cary 5E-UV-Vis-NIR spectrophotometer for UV-Vis measurements, Varian Cary Eclipse fluorescence spectrophotomer for fluorescence quenching measurements. Analytical and procedural information: Stern-Volmer fluorescence quenching experiments, UV-Vis measurements and Fluorescent Quantum Yield determination via ferrioxalate actinometry. Definition of variables: Wavelength, Absorbance, Concentration Units of measurement: nanometers (nm), moles-per-litre (mol/l) Abbreviations: File names and data headers use the following abbreviations: FQY refers to Fluorescence Quantum Yield determination experiments Light refers to irradiated samples in the actinometry experiment, as detailed in the procedure in the supporting information. Dark refers to non-irradiated samples in the actinometry experiment, as detailed in the procedure in the supporting information. SVQuench refers to Stern-Volmer quenching experiments RAxx refer to measurements related to allylbenzene. Xx is the amount of quencher in mol/l (05 should be intended as 0.5 mol/l and so on). RTxx refer to measurements related to S-(4-methylphenyl) 4-methylbenzenethiosulfonate. Xx is the amount of quencher in mol/l as above. RExx refer to measurements related to 1,2-dimethoxy-4-(prop-2-en-1-yl)benzene. Xx is the amount of quencher in mol/l as above. RSxx refer to measurements related to styrene. Xx is the amount of quencher in mol/l. RTFxx refer to measurements related to S-(4-fluorophenyl) 4-fluorobenzenethiosulfonate. Xx is the amount of quencher in mol/l as above. MesAcrMe Xx refers to data related to catalyst 9-mesityl-10-methylacridinium. Xx is the amount of catalyst in mol/l as above. DMC for measurements employing dimethylcarbonate as solvent. ACN for measurements employing acetonitrile as solvent. FBSW and DSW data are used by the proprietary software of the Varian spectrometers (CARY WinUV and Cary Eclipse). Information can be found at https://www.agilent.com/en/product/molecular-spectroscopy/uv-vis-uv-vis-nir-spectroscopy/uv-vis-uv-vis-nir-software/cary-winuv-software and https://www.agilent.com/en/product/molecular-spectroscopy/fluorescence-spectroscopy/fluorescence-software/cary-eclipse-software

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    ZENODO
    Dataset . 2020
    License: CC BY
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    ZENODO
    Dataset . 2020
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    ZENODO
    Dataset . 2020
    License: CC BY
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      ZENODO
      Dataset . 2020
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      Dataset . 2020
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      ZENODO
      Dataset . 2020
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    Authors: Matteo, Nigro; Michele, Barsanti; Roberto, Giannecchini;

    The version 1.0 contains the supporting data for the work (still under submission) "Last century changes in annual precipitation in a Mediterranean area and their spatial variability. Insights from northern Tuscany (Italy)". The following files are here available (all file are georeferenced in EPSG: 3003): - AVG_Rainfall_1990-2019.tif -> Raster map of the mean annual precipitation for the northern Tuscany, Italy. It encompasses the portion of the Tuscany region northern of the cities of Livorno - Florence. The interpolation was validated via a leave one out cross-validation procedure. - D3-1_Area2_ApuanAlps.tif -> Raster map of the differences in mean annual precipitation between the two 3-decades periods 1921 to 1950 and 1990 to 2019 for the Apuan Alps mountain ridge (Tuscany, Italy). - D3-2_Area2_ApuanAlps.tif -> Raster map of the differences in mean annual precipitation between the two 3-decades periods 1951 to 1980 and 1990 to 2019 for the Apuan Alps mountain ridge (Tuscany, Italy). - DeltaSHP_Points_AVG_Annual_Rainfall.zip -> Shape file of the raingauges locations with the mean annual precipitation values of the period 1990 to 2019. - RaingaugesSHP_Points_AVG_Annual_Rainfall_1990-2019.zip -> Shape file of the raingauges locations with the following information: differences in the mean annual precipitation values between the two 3-decades periods 1951 to 1980 and 1990 to 2019 (named D3-2); p values of the t-test for significance of the differences between the mean annual precipitation ofthe two 3-decades periods 1951 to 1980 and 1990 to 2019; difference in the mean annual precipitation values between the two 3-decades periods 1921 to 1950 and 1990 to 2019 (named D3-1); p values of the t-test for significance of the differences between the mean annual precipitation ofthe two 3-decades periods 1921 to 1950 and 1990 to 2019.

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    ZENODO
    Dataset . 2023
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    ZENODO
    Dataset . 2023
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    ZENODO
    Dataset . 2023
    License: CC BY
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      ZENODO
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      ZENODO
      Dataset . 2023
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    We performed systematic mapping of EPC data applications by time, geographical spread, data features & auxiliary data used, problem domains addressed and complexity of employed data analysis. This mapping work was intended to answer the following questions: Q1. Which research studies have used EPC data (hereafter “applications”)? Q2. What input data were used by the EPC data applications? Q3. Which problem domains were addressed by the EPC data applications? Q4. How did the EPC data applications change within the study period? Purpose: To understand how the energy performance certificates (EPC) data has been used since introduction of the first national EPC registers. Kartläggning av tillämpningar av EPC data. En mer detaljerad beskrivning är tillgängligt på den engelska katalogsidan: https://snd.gu.se/en/catalogue/study/SND1066

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    European Union Open Data Portal
    Dataset . 2023
    License: CC_BYNCND_4_0
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      European Union Open Data Portal
      Dataset . 2023
      License: CC_BYNCND_4_0
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