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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: Cuzman OA; Vettori S; Fratini F; Cantisani E; +4 Authors

    Red discoloration on marble showed particular interest between 1980-2000 when red stain phenomena where investigated on different monuments such the facade of the Certosa di Pavia, Siena Cathedral, Orvieto Cathedral, marble cenotaph in monumental cemetery of Pisa etc. Comparative macroscopic observations of the new case studies are presented showing that water plays an essential role in the formation of red stains together with the presence of micoorganisms and a source of lead.

    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/ Flore (Florence Rese...arrow_drop_down
    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/
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    IRIS Cnr
    Conference object . 2016
    Data sources: IRIS Cnr
    CNR ExploRA
    Conference object . 2016
    Data sources: CNR ExploRA
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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/ Flore (Florence Rese...arrow_drop_down
      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/
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      IRIS Cnr
      Conference object . 2016
      Data sources: IRIS Cnr
      CNR ExploRA
      Conference object . 2016
      Data sources: CNR ExploRA
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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: von Schuckmann, Karina; Minière, Audrey; Gues, Flora; Cuesta-Valero, Francisco José; +59 Authors

    Project: GCOS Earth Heat Inventory - A study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory (EHI), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period from 1960 to present. Summary: The file “GCOS_EHI_1960-2020_Earth_Heat_Inventory_Ocean_Heat_Content_data.nc” contains a consistent long-term Earth system heat inventory over the period 1960-2020. Human-induced atmospheric composition changes cause a radiative imbalance at the top-of-atmosphere which is driving global warming. Understanding the heat gain of the Earth system from this accumulated heat – and particularly how much and where the heat is distributed in the Earth system - is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This dataset is based on a study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory published in von Schuckmann et al. (2020), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2020. The dataset also contains estimates for global ocean heat content over 1960-2020 for different depth layers, i.e., 0-300m, 0-700m, 700-2000m, 0-2000m, 2000-bottom, which are described in von Schuckmann et al. (2022).

    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/ World Data Center fo...arrow_drop_down
    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/
    World Data Center for Climate
    Dataset . 2022
    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/
    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/
    World Data Center for Climate
    Other dataset type . 2022
    License: CC BY
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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/ World Data Center fo...arrow_drop_down
      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/
      World Data Center for Climate
      Dataset . 2022
      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/
      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/
      World Data Center for Climate
      Other dataset type . 2022
      License: CC BY
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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: von Schuckmann, Karina; Cheng, Lijing; Palmer, Matthew D.; Tassone, Caterina; +33 Authors

    Project: GCOS Earth Heat Inventory - A study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory (EHI), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2018. Summary: The dataset ‘Heat stored in the Earth system: Where does the energy go?’ contains a consistent long-term Earth system heat gain over the past 58 years. Human-induced atmospheric composition changes cause a radiative imbalance at the top-of-atmosphere which is driving global warming. This Earth Energy Imbalance (EEI) is a fundamental metric of climate change. Understanding the heat gain of the Earth system from this accumulated heat – and particularly how much and where the heat is distributed in the Earth system - is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This dataset is based on a study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory, and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2018.

    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/ World Data Center fo...arrow_drop_down
    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/
    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/
    World Data Center for Climate
    Dataset . 2020
    Data sources: Datacite
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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/ World Data Center fo...arrow_drop_down
      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/
      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/
      World Data Center for Climate
      Dataset . 2020
      Data sources: Datacite
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  • Authors: Heidi Kreibich; Anne F. Van Loon; Kai Schröter; Philip J. Ward; +87 Authors

    La gestion des risques a réduit la vulnérabilité aux inondations et aux sécheresses dans le monde1,2, mais leurs impacts continuent d'augmenter3. Une meilleure compréhension des causes de l'évolution des impacts est donc nécessaire, mais a été entravée par un manque de données empiriques4,5. Sur la base d'un ensemble de données mondiales de 45 paires d'événements qui se sont produits dans la même zone, nous montrons que la gestion des risques réduit généralement les impacts des inondations et des sécheresses, mais fait face à des difficultés pour réduire les impacts d'événements sans précédent d'une ampleur jamais connue auparavant. Si le deuxième événement était beaucoup plus dangereux que le premier, son impact était presque toujours plus élevé. En effet, la gestion n'a pas été conçue pour faire face à de tels événements extrêmes : par exemple, ils ont dépassé les niveaux de conception des digues et des réservoirs. Dans deux cas de réussite, l'impact du deuxième événement, plus dangereux, a été plus faible, en raison de l'amélioration de la gouvernance de la gestion des risques et des investissements élevés dans la gestion intégrée. La difficulté observée à gérer des événements sans précédent est alarmante, étant donné que des événements hydrologiques plus extrêmes sont projetés en raison du changement climatique3. La gestión de riesgos ha reducido la vulnerabilidad a las inundaciones y sequías a nivel mundial1,2, pero sus impactos siguen aumentando3. Por lo tanto, se necesita una mejor comprensión de las causas de los impactos cambiantes, pero se ha visto obstaculizada por la falta de datos empíricos4,5. Sobre la base de un conjunto de datos global de 45 pares de eventos que ocurrieron dentro de la misma área, mostramos que la gestión de riesgos generalmente reduce los impactos de inundaciones y sequías, pero enfrenta dificultades para reducir los impactos de eventos sin precedentes de una magnitud no experimentada anteriormente. Si el segundo evento era mucho más peligroso que el primero, su impacto era casi siempre mayor. Esto se debe a que la gestión no fue diseñada para hacer frente a tales eventos extremos: por ejemplo, superaron los niveles de diseño de diques y embalses. En dos casos de éxito, el impacto del segundo evento, más peligroso, fue menor, como resultado de una mejor gobernanza de la gestión de riesgos y una alta inversión en la gestión integrada. La dificultad observada para gestionar eventos sin precedentes es alarmante, dado que se proyectan eventos hidrológicos más extremos debido al cambio climático3. Risk management has reduced vulnerability to floods and droughts globally1,2, yet their impacts are still increasing3. An improved understanding of the causes of changing impacts is therefore needed, but has been hampered by a lack of empirical data4,5. On the basis of a global dataset of 45 pairs of events that occurred within the same area, we show that risk management generally reduces the impacts of floods and droughts but faces difficulties in reducing the impacts of unprecedented events of a magnitude not previously experienced. If the second event was much more hazardous than the first, its impact was almost always higher. This is because management was not designed to deal with such extreme events: for example, they exceeded the design levels of levees and reservoirs. In two success stories, the impact of the second, more hazardous, event was lower, as a result of improved risk management governance and high investment in integrated management. The observed difficulty of managing unprecedented events is alarming, given that more extreme hydrological events are projected owing to climate change3. أدت إدارة المخاطر إلى تقليل التعرض للفيضانات والجفاف على مستوى العالم1,2، ومع ذلك لا تزال آثارها تتزايد3. لذلك هناك حاجة إلى فهم أفضل لأسباب تغير التأثيرات، ولكن أعيق ذلك بسبب نقص البيانات التجريبية4، 5. على أساس مجموعة بيانات عالمية مكونة من 45 زوجًا من الأحداث التي وقعت داخل نفس المنطقة، نظهر أن إدارة المخاطر تقلل عمومًا من آثار الفيضانات والجفاف ولكنها تواجه صعوبات في الحد من آثار الأحداث غير المسبوقة ذات الحجم الذي لم تشهده من قبل. إذا كان الحدث الثاني أكثر خطورة من الأول، فإن تأثيره كان دائمًا أعلى. وذلك لأن الإدارة لم تكن مصممة للتعامل مع مثل هذه الأحداث المتطرفة: على سبيل المثال، تجاوزت مستويات تصميم السدود والخزانات. في قصتي نجاح، كان تأثير الحدث الثاني، الأكثر خطورة، أقل، نتيجة لتحسين حوكمة إدارة المخاطر والاستثمار العالي في الإدارة المتكاملة. إن الصعوبة الملحوظة في إدارة الأحداث غير المسبوقة تنذر بالخطر، بالنظر إلى أنه من المتوقع حدوث المزيد من الأحداث الهيدرولوجية المتطرفة بسبب تغير المناخ3.

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  • Authors: Paolo Laj; Alessandro Bigi; Clémence Rose; Elisabeth Andrews; +96 Authors

    Résumé. Les particules d'aérosol sont des constituants essentiels de l'atmosphère terrestre, ayant un impact direct sur l'équilibre du rayonnement terrestre en diffusant et en absorbant le rayonnement solaire, et indirectement en agissant comme des noyaux de condensation des nuages. Contrairement à la plupart des gaz à effet de serre, les particules d'aérosol ont des temps de résidence atmosphériques courts, ce qui entraîne une distribution très hétérogène dans l'espace et le temps. Il est clairement nécessaire de documenter cette variabilité à l'échelle régionale à travers des observations impliquant, en particulier, le segment in situ près de la surface du système d'observation atmosphérique. Cet article fournira le plus grand effort jusqu'à présent pour documenter la variabilité des propriétés des aérosols in situ pertinentes pour le climat (à savoir les coefficients de diffusion et d'absorption de la lumière des particules dépendant de la longueur d'onde, la concentration en nombre de particules et la distribution granulométrique) de tous les sites connectés au réseau Global Atmosphere Watch. Des données de haute qualité provenant de près de 90 stations dans le monde ont été collectées et contrôlées pour la qualité et sont rapportées pour une année de référence en 2017, fournissant une vue très étendue et robuste de la variabilité de ces variables dans le monde. La gamme de variabilité observée dans le monde entier pour les coefficients de diffusion et d'absorption de la lumière, l'albédo à diffusion unique et la concentration en nombre de particules est présentée avec des informations préliminaires sur leurs tendances à long terme et une comparaison avec la simulation par modèle pour les différentes stations. La portée du présent document est également de fournir la suite nécessaire d'informations, y compris les procédures de fourniture de données, le contrôle et l'analyse de la qualité, la politique de données et l'utilisation du réseau de mesure des aérosols au sol. Il fournit aux utilisateurs du Centre mondial de données sur les aérosols la confiance requise dans les produits de données sous la forme d'une chaîne de valeur entièrement caractérisée, y compris l'estimation de l'incertitude et les exigences pour contribuer au système mondial de surveillance du climat. Resumen. Las partículas de aerosol son constituyentes esenciales de la atmósfera terrestre, impactando el equilibrio de la radiación terrestre directamente al dispersar y absorber la radiación solar, e indirectamente al actuar como núcleos de condensación de nubes. A diferencia de la mayoría de los gases de efecto invernadero, las partículas de aerosol tienen tiempos de residencia atmosférica cortos, lo que resulta en una distribución altamente heterogénea en el espacio y el tiempo. Existe una clara necesidad de documentar esta variabilidad a escala regional a través de estudios que involucren, en particular, el segmento cercano a la superficie in situ del sistema de observación atmosférica. Este documento proporcionará el mayor esfuerzo hasta el momento para documentar la variabilidad de las propiedades de los aerosoles in situ relevantes para el clima (es decir, la dispersión de la luz de partículas y los coeficientes de absorción dependientes de la longitud de onda, la concentración del número de partículas y la distribución del tamaño del número de partículas) de todos los sitios conectados a la red de Vigilancia de la Atmósfera Global. Se han recopilado y controlado datos de alta calidad de casi 90 estaciones en todo el mundo y se informan para un año de referencia en 2017, lo que proporciona una visión muy amplia y sólida de la variabilidad de estas variables en todo el mundo. El rango de variabilidad observado en todo el mundo para los coeficientes de dispersión y absorción de la luz, el albedo de dispersión única y la concentración del número de partículas se presentan junto con información preliminar sobre sus tendencias a largo plazo y la comparación con la simulación del modelo para las diferentes estaciones. El alcance del presente documento también es proporcionar el conjunto de información necesario, incluidos los procedimientos de suministro de datos, el control y análisis de calidad, la política de datos y el uso de la red de medición de aerosoles terrestre. Ofrece a los usuarios del Centro Mundial de Datos sobre Aerosoles la confianza requerida en los productos de datos en forma de una cadena de valor completamente caracterizada, incluida la estimación de la incertidumbre y los requisitos para contribuir al sistema de vigilancia del clima mundial. Abstract. Aerosol particles are essential constituents of the Earth's atmosphere, impacting the earth radiation balance directly by scattering and absorbing solar radiation, and indirectly by acting as cloud condensation nuclei. In contrast to most greenhouse gases, aerosol particles have short atmospheric residence times, resulting in a highly heterogeneous distribution in space and time. There is a clear need to document this variability at regional scale through observations involving, in particular, the in situ near-surface segment of the atmospheric observation system. This paper will provide the widest effort so far to document variability of climate-relevant in situ aerosol properties (namely wavelength dependent particle light scattering and absorption coefficients, particle number concentration and particle number size distribution) from all sites connected to the Global Atmosphere Watch network. High-quality data from almost 90 stations worldwide have been collected and controlled for quality and are reported for a reference year in 2017, providing a very extended and robust view of the variability of these variables worldwide. The range of variability observed worldwide for light scattering and absorption coefficients, single-scattering albedo, and particle number concentration are presented together with preliminary information on their long-term trends and comparison with model simulation for the different stations. The scope of the present paper is also to provide the necessary suite of information, including data provision procedures, quality control and analysis, data policy, and usage of the ground-based aerosol measurement network. It delivers to users of the World Data Centre on Aerosol, the required confidence in data products in the form of a fully characterized value chain, including uncertainty estimation and requirements for contributing to the global climate monitoring system. الخلاصة: جسيمات الهباء الجوي هي مكونات أساسية للغلاف الجوي للأرض، وتؤثر على توازن إشعاع الأرض بشكل مباشر عن طريق تشتت وامتصاص الإشعاع الشمسي، وبشكل غير مباشر عن طريق العمل كنوى تكثيف السحب. على النقيض من معظم غازات الدفيئة، فإن جزيئات الهباء الجوي لها أوقات بقاء قصيرة في الغلاف الجوي، مما يؤدي إلى توزيع غير متجانس للغاية في المكان والزمان. هناك حاجة واضحة لتوثيق هذا التباين على المستوى الإقليمي من خلال عمليات الرصد التي تشمل، على وجه الخصوص، الجزء القريب من السطح في الموقع من نظام مراقبة الغلاف الجوي. ستوفر هذه الورقة أوسع جهد حتى الآن لتوثيق تقلب خصائص الهباء الجوي الموضعي ذات الصلة بالمناخ (أي معاملات تشتت وامتصاص ضوء الجسيمات المعتمدة على الطول الموجي وتركيز رقم الجسيمات وتوزيع حجم رقم الجسيمات) من جميع المواقع المتصلة بشبكة مراقبة الغلاف الجوي العالمية. تم جمع بيانات عالية الجودة من حوالي 90 محطة في جميع أنحاء العالم والتحكم فيها من أجل الجودة ويتم الإبلاغ عنها لسنة مرجعية في عام 2017، مما يوفر رؤية موسعة وقوية للغاية لتباين هذه المتغيرات في جميع أنحاء العالم. يتم تقديم نطاق التباين الملحوظ في جميع أنحاء العالم لمعاملات تشتت الضوء وامتصاصه، والبياض أحادي التشتت، وتركيز عدد الجسيمات مع معلومات أولية عن اتجاهاتها طويلة الأجل ومقارنتها بمحاكاة النموذج للمحطات المختلفة. يتمثل نطاق هذه الورقة أيضًا في توفير مجموعة المعلومات اللازمة، بما في ذلك إجراءات توفير البيانات، ومراقبة الجودة وتحليلها، وسياسة البيانات، واستخدام شبكة قياس الهباء الجوي الأرضية. وهي توفر لمستخدمي مركز البيانات العالمي المعني بالهباء الجوي الثقة المطلوبة في منتجات البيانات في شكل سلسلة قيمة مميزة بالكامل، بما في ذلك تقدير عدم اليقين ومتطلبات المساهمة في نظام مراقبة المناخ العالمي.

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    Authors: von Schuckmann, Karina; Minière, Audrey; Gues, Flora; Cuesta-Valero, Francisco José; +58 Authors

    Project: GCOS Earth Heat Inventory - A study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory (EHI), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period from 1960 to present. Summary: The file “GCOS_EHI_1960-2020_Earth_Heat_Inventory_Ocean_Heat_Content_data.nc” contains a consistent long-term Earth system heat inventory over the period 1960-2020. Human-induced atmospheric composition changes cause a radiative imbalance at the top-of-atmosphere which is driving global warming. Understanding the heat gain of the Earth system from this accumulated heat – and particularly how much and where the heat is distributed in the Earth system - is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This dataset is based on a study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory published in von Schuckmann et al. (2020), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2020. The dataset also contains estimates for global ocean heat content over 1960-2020 for different depth layers, i.e., 0-300m, 0-700m, 700-2000m, 0-2000m, 2000-bottom, which are described in von Schuckmann et al. (2022). This version includes an update of heat storage of global ocean heat content, where one additional product (Li et al., 2022) had been included to the initial estimate. The Earth heat inventory had been updated accordingly, considering also the update for continental heat content (Cuesta-Valero et al., 2023).

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    World Data Center for Climate
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    Authors: Neil L. Rose; Roland Psenner; Andrea Lami; Anna Agusti-Panareda; +9 Authors

    Physical, geochemical, and organic parameters were not controlled by air temperature. Among the biological records only diatoms and chrysophytes reacted to air temperature changes: the relative abundance of planktonic diatoms increased during warm periods and changes in mean annual alpine air temperature explained 36.5% of their variation. The relation between abundance of seasonal stomatocyst types and air temperature varied on two different time scales: while summer stomatocysts were influenced by short term temperature fluctuations, the autumn stomatocysts were affected only by the long term changes. Other biological parameters exhibited a constant species composition ( chironomids, pigments) or changes were small and independent of temperature ( cladocera). Spheroidal carbonaceous fly-ash particles, and trends in Pb and Cr indicated increasing deposition of atmospheric pollutants but had no detectable effects on the biological parameters either. In respect to temperature variations over the last 200 years, this alpine lake is much less sensitive than expected and has thus to be regarded as a well buffered site. However, temperature alone is not sufficient to understand changes in species composition and other biogeochemical processes with unknown historical patterns might have affected species composition more strongly. Changes in microfossils (diatoms, chrysophytes, chironomids and cladocera remains), geochemistry and deposition of atmospheric pollutants have been investigated in the sediment records of the alpine lake Gossenkollesee ( Tyrol, Austria) spanning the last two centuries. The sediment records were compared with seasonal and annual air temperature trends calculated for the elevation (2417 m a. s. l.) and the geographical position (47degrees13'46"N, 11degrees00'51"E) of the lake, and with precipitation records available since 1866 from Innsbruck. Temperature trends followed a 20 30 year oscillation between cold and warm periods. Regarding long-term changes, temperature trends showed a U-shaped trend between 1780 and 1950, followed by a steep increase since 1975.

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    Authors: Tolotti, M.; Guilizzoni, P.; Lami, A.; Musazzi, S.; +5 Authors

    Piburger See is a soft-water mountain lake located in the Central Eastern Alps (47°11'42''N, 10°53'18''E, Tyrol, Austria). The increase in recreational activities, tourism, and the application of fertilizer on nearby fields, resulted in enhanced primary production and rising hypolimnetic oxygen depletion in the lake during the 1950s and 1960s (Pechlaner, 1968). Lake restoration started in 1970 by exporting anoxic and nutrient-rich hypolimnetic waters with an Olszewski tube, and by reducing external nutrient loading by altering fertilizer application and by diverting sewage from a public bath. Lake oxygenation rapidly improved after 1970 (Pechlaner, 1979), while the response of total phosphorus (TP) and phytoplankton biomass to lake restoration was delayed by two decades (Fig. 1). Since the early 2000s, phytoplankton biovolume has increased again, suggesting a reversing trend in lake trophic status (Tolotti et al., 2012). Simultaneously, small changes in TP were recorded (Fig. 1). Although Piburger See was part of the OECD study on eutrophication and is currently included in the Austrian LTER network, the 45 year-long data-base includes several data gaps (e.g. for phytoplankton). To compensate for gaps in moniroring data, a paleolimnological study has been carried out on a radiometrically dated sediment core in order to reconstruct the lakes' trophic state since the late-19th century and to define the reference conditions for the lake (Thies et al., 2012). Limnological data recorded during the last four decades provided the validation of the inferred TP concentration (Fig. 2). Changes in phytoplankton biomass and species composition were analyzed in relation to nutrients and water temperature. Epilimnetic temperatures of Piburger See, reconstructed by long-term air temperature records, showed a pronounced increase during the mid-1940s and also since the late-20th century. Both periods also show increasing algal growth and changes in diatom species composition (i.e. increase in centric diatoms and recent blooms in Asterionella formosa). The combination of paleo- and neolimnology allowed the analysis of the role of climate and nutrients in driving phytoplankton changes in Piburger See. In particular, the study on sediments showed that long-term phytoplankton changes were mainly attributed to increasing lake temperature, while nutrients acted as modulating factor. On the other side, short-term changes in the phytoplankton of Piburger See since the 2000s were explained by varying nutrient concentrations and ratios (i.e. nitrogen and silica), while rising water temperature and enhanced thermal stability regulated the inter-annual lake variability. Our results underline that the combined impact of nutrients and climate on phytoplankton development can sustain short-time phytoplankton pulses, and thus mimic short-term increases in the trophic level of less productive lakes.

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    Authors: von Schuckmann, Karina; Cheng, Lijing; Palmer, Matthew D.; Hansen, James; +34 Authors

    Project: GCOS Earth Heat Inventory - A study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory (EHI), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2018. Summary: ‘Heat stored in the Earth system: Where does the energy go?’ contains a consistent long-term Earth system heat inventory over the period 1960-2018. Human-induced atmospheric composition changes cause a radiative imbalance at the top-of-atmosphere which is driving global warming. This Earth Energy Imbalance (EEI) is the most critical number defining the prospects for continued global warming and climate change. Understanding the heat gain of the Earth system from this accumulated heat – and particularly how much and where the heat is distributed in the Earth system - is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This dataset is based on a study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory, and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2018. Changes in version 2: a) uncertainties have been added and updated in the netcdf file b) Ocean heat content > 2000m depth: update of one time series, and thus revised ensemble mean c) Atmospheric heat content: update of the time series as received by experts on the 29/05/2020 d) Available heat cyropshere: update of the time series as received by experts on the 27/05/2020. e) some attributes have been added for more details.

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    World Data Center for Climate
    Dataset . 2020
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    The R&I Workforce in Energy Transition Survey (RIWET) Database has been produced in the context of the gEneSys Project. It contains the data collected through an online survey targeting researchers, technicians, experts, academics, practitioners engaged in scientific and technological knowledge production for the energy sector. The survey was designed to gauge employees' overall job satisfaction and assess the organizational culture, work-related quality of life and collaboration dynamics. The questionnaire explored persistent gender inequalities in the energy labor force and the strategies to address them from the workers' perspectives. The survey builds upon the recent study commissioned by CINEA, European Climate, Infrastructure and Environment Executive Agency, to help the European Commission improve the role of women in the energy transition and has been distributed to employees or professionals working in R&I activities in any energy related field (generation, storage, management or distribution, manufacturing, servicing, or distributing) of public or private organizations including research centres/academic departments, national/local agencies, companies, and businesses.

    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 . 2024
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2024
    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 . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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16 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/
    Authors: Cuzman OA; Vettori S; Fratini F; Cantisani E; +4 Authors

    Red discoloration on marble showed particular interest between 1980-2000 when red stain phenomena where investigated on different monuments such the facade of the Certosa di Pavia, Siena Cathedral, Orvieto Cathedral, marble cenotaph in monumental cemetery of Pisa etc. Comparative macroscopic observations of the new case studies are presented showing that water plays an essential role in the formation of red stains together with the presence of micoorganisms and a source of lead.

    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/ Flore (Florence Rese...arrow_drop_down
    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/
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    IRIS Cnr
    Conference object . 2016
    Data sources: IRIS Cnr
    CNR ExploRA
    Conference object . 2016
    Data sources: CNR ExploRA
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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/ Flore (Florence Rese...arrow_drop_down
      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/
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      IRIS Cnr
      Conference object . 2016
      Data sources: IRIS Cnr
      CNR ExploRA
      Conference object . 2016
      Data sources: CNR ExploRA
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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: von Schuckmann, Karina; Minière, Audrey; Gues, Flora; Cuesta-Valero, Francisco José; +59 Authors

    Project: GCOS Earth Heat Inventory - A study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory (EHI), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period from 1960 to present. Summary: The file “GCOS_EHI_1960-2020_Earth_Heat_Inventory_Ocean_Heat_Content_data.nc” contains a consistent long-term Earth system heat inventory over the period 1960-2020. Human-induced atmospheric composition changes cause a radiative imbalance at the top-of-atmosphere which is driving global warming. Understanding the heat gain of the Earth system from this accumulated heat – and particularly how much and where the heat is distributed in the Earth system - is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This dataset is based on a study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory published in von Schuckmann et al. (2020), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2020. The dataset also contains estimates for global ocean heat content over 1960-2020 for different depth layers, i.e., 0-300m, 0-700m, 700-2000m, 0-2000m, 2000-bottom, which are described in von Schuckmann et al. (2022).

    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/ World Data Center fo...arrow_drop_down
    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/
    World Data Center for Climate
    Dataset . 2022
    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/
    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/
    World Data Center for Climate
    Other dataset type . 2022
    License: CC BY
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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/ World Data Center fo...arrow_drop_down
      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/
      World Data Center for Climate
      Dataset . 2022
      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/
      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/
      World Data Center for Climate
      Other dataset type . 2022
      License: CC BY
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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: von Schuckmann, Karina; Cheng, Lijing; Palmer, Matthew D.; Tassone, Caterina; +33 Authors

    Project: GCOS Earth Heat Inventory - A study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory (EHI), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2018. Summary: The dataset ‘Heat stored in the Earth system: Where does the energy go?’ contains a consistent long-term Earth system heat gain over the past 58 years. Human-induced atmospheric composition changes cause a radiative imbalance at the top-of-atmosphere which is driving global warming. This Earth Energy Imbalance (EEI) is a fundamental metric of climate change. Understanding the heat gain of the Earth system from this accumulated heat – and particularly how much and where the heat is distributed in the Earth system - is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This dataset is based on a study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory, and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2018.

    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/ World Data Center fo...arrow_drop_down
    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/
    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/
    World Data Center for Climate
    Dataset . 2020
    Data sources: Datacite
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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/ World Data Center fo...arrow_drop_down
      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/
      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/
      World Data Center for Climate
      Dataset . 2020
      Data sources: Datacite
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  • Authors: Heidi Kreibich; Anne F. Van Loon; Kai Schröter; Philip J. Ward; +87 Authors

    La gestion des risques a réduit la vulnérabilité aux inondations et aux sécheresses dans le monde1,2, mais leurs impacts continuent d'augmenter3. Une meilleure compréhension des causes de l'évolution des impacts est donc nécessaire, mais a été entravée par un manque de données empiriques4,5. Sur la base d'un ensemble de données mondiales de 45 paires d'événements qui se sont produits dans la même zone, nous montrons que la gestion des risques réduit généralement les impacts des inondations et des sécheresses, mais fait face à des difficultés pour réduire les impacts d'événements sans précédent d'une ampleur jamais connue auparavant. Si le deuxième événement était beaucoup plus dangereux que le premier, son impact était presque toujours plus élevé. En effet, la gestion n'a pas été conçue pour faire face à de tels événements extrêmes : par exemple, ils ont dépassé les niveaux de conception des digues et des réservoirs. Dans deux cas de réussite, l'impact du deuxième événement, plus dangereux, a été plus faible, en raison de l'amélioration de la gouvernance de la gestion des risques et des investissements élevés dans la gestion intégrée. La difficulté observée à gérer des événements sans précédent est alarmante, étant donné que des événements hydrologiques plus extrêmes sont projetés en raison du changement climatique3. La gestión de riesgos ha reducido la vulnerabilidad a las inundaciones y sequías a nivel mundial1,2, pero sus impactos siguen aumentando3. Por lo tanto, se necesita una mejor comprensión de las causas de los impactos cambiantes, pero se ha visto obstaculizada por la falta de datos empíricos4,5. Sobre la base de un conjunto de datos global de 45 pares de eventos que ocurrieron dentro de la misma área, mostramos que la gestión de riesgos generalmente reduce los impactos de inundaciones y sequías, pero enfrenta dificultades para reducir los impactos de eventos sin precedentes de una magnitud no experimentada anteriormente. Si el segundo evento era mucho más peligroso que el primero, su impacto era casi siempre mayor. Esto se debe a que la gestión no fue diseñada para hacer frente a tales eventos extremos: por ejemplo, superaron los niveles de diseño de diques y embalses. En dos casos de éxito, el impacto del segundo evento, más peligroso, fue menor, como resultado de una mejor gobernanza de la gestión de riesgos y una alta inversión en la gestión integrada. La dificultad observada para gestionar eventos sin precedentes es alarmante, dado que se proyectan eventos hidrológicos más extremos debido al cambio climático3. Risk management has reduced vulnerability to floods and droughts globally1,2, yet their impacts are still increasing3. An improved understanding of the causes of changing impacts is therefore needed, but has been hampered by a lack of empirical data4,5. On the basis of a global dataset of 45 pairs of events that occurred within the same area, we show that risk management generally reduces the impacts of floods and droughts but faces difficulties in reducing the impacts of unprecedented events of a magnitude not previously experienced. If the second event was much more hazardous than the first, its impact was almost always higher. This is because management was not designed to deal with such extreme events: for example, they exceeded the design levels of levees and reservoirs. In two success stories, the impact of the second, more hazardous, event was lower, as a result of improved risk management governance and high investment in integrated management. The observed difficulty of managing unprecedented events is alarming, given that more extreme hydrological events are projected owing to climate change3. أدت إدارة المخاطر إلى تقليل التعرض للفيضانات والجفاف على مستوى العالم1,2، ومع ذلك لا تزال آثارها تتزايد3. لذلك هناك حاجة إلى فهم أفضل لأسباب تغير التأثيرات، ولكن أعيق ذلك بسبب نقص البيانات التجريبية4، 5. على أساس مجموعة بيانات عالمية مكونة من 45 زوجًا من الأحداث التي وقعت داخل نفس المنطقة، نظهر أن إدارة المخاطر تقلل عمومًا من آثار الفيضانات والجفاف ولكنها تواجه صعوبات في الحد من آثار الأحداث غير المسبوقة ذات الحجم الذي لم تشهده من قبل. إذا كان الحدث الثاني أكثر خطورة من الأول، فإن تأثيره كان دائمًا أعلى. وذلك لأن الإدارة لم تكن مصممة للتعامل مع مثل هذه الأحداث المتطرفة: على سبيل المثال، تجاوزت مستويات تصميم السدود والخزانات. في قصتي نجاح، كان تأثير الحدث الثاني، الأكثر خطورة، أقل، نتيجة لتحسين حوكمة إدارة المخاطر والاستثمار العالي في الإدارة المتكاملة. إن الصعوبة الملحوظة في إدارة الأحداث غير المسبوقة تنذر بالخطر، بالنظر إلى أنه من المتوقع حدوث المزيد من الأحداث الهيدرولوجية المتطرفة بسبب تغير المناخ3.

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  • Authors: Paolo Laj; Alessandro Bigi; Clémence Rose; Elisabeth Andrews; +96 Authors

    Résumé. Les particules d'aérosol sont des constituants essentiels de l'atmosphère terrestre, ayant un impact direct sur l'équilibre du rayonnement terrestre en diffusant et en absorbant le rayonnement solaire, et indirectement en agissant comme des noyaux de condensation des nuages. Contrairement à la plupart des gaz à effet de serre, les particules d'aérosol ont des temps de résidence atmosphériques courts, ce qui entraîne une distribution très hétérogène dans l'espace et le temps. Il est clairement nécessaire de documenter cette variabilité à l'échelle régionale à travers des observations impliquant, en particulier, le segment in situ près de la surface du système d'observation atmosphérique. Cet article fournira le plus grand effort jusqu'à présent pour documenter la variabilité des propriétés des aérosols in situ pertinentes pour le climat (à savoir les coefficients de diffusion et d'absorption de la lumière des particules dépendant de la longueur d'onde, la concentration en nombre de particules et la distribution granulométrique) de tous les sites connectés au réseau Global Atmosphere Watch. Des données de haute qualité provenant de près de 90 stations dans le monde ont été collectées et contrôlées pour la qualité et sont rapportées pour une année de référence en 2017, fournissant une vue très étendue et robuste de la variabilité de ces variables dans le monde. La gamme de variabilité observée dans le monde entier pour les coefficients de diffusion et d'absorption de la lumière, l'albédo à diffusion unique et la concentration en nombre de particules est présentée avec des informations préliminaires sur leurs tendances à long terme et une comparaison avec la simulation par modèle pour les différentes stations. La portée du présent document est également de fournir la suite nécessaire d'informations, y compris les procédures de fourniture de données, le contrôle et l'analyse de la qualité, la politique de données et l'utilisation du réseau de mesure des aérosols au sol. Il fournit aux utilisateurs du Centre mondial de données sur les aérosols la confiance requise dans les produits de données sous la forme d'une chaîne de valeur entièrement caractérisée, y compris l'estimation de l'incertitude et les exigences pour contribuer au système mondial de surveillance du climat. Resumen. Las partículas de aerosol son constituyentes esenciales de la atmósfera terrestre, impactando el equilibrio de la radiación terrestre directamente al dispersar y absorber la radiación solar, e indirectamente al actuar como núcleos de condensación de nubes. A diferencia de la mayoría de los gases de efecto invernadero, las partículas de aerosol tienen tiempos de residencia atmosférica cortos, lo que resulta en una distribución altamente heterogénea en el espacio y el tiempo. Existe una clara necesidad de documentar esta variabilidad a escala regional a través de estudios que involucren, en particular, el segmento cercano a la superficie in situ del sistema de observación atmosférica. Este documento proporcionará el mayor esfuerzo hasta el momento para documentar la variabilidad de las propiedades de los aerosoles in situ relevantes para el clima (es decir, la dispersión de la luz de partículas y los coeficientes de absorción dependientes de la longitud de onda, la concentración del número de partículas y la distribución del tamaño del número de partículas) de todos los sitios conectados a la red de Vigilancia de la Atmósfera Global. Se han recopilado y controlado datos de alta calidad de casi 90 estaciones en todo el mundo y se informan para un año de referencia en 2017, lo que proporciona una visión muy amplia y sólida de la variabilidad de estas variables en todo el mundo. El rango de variabilidad observado en todo el mundo para los coeficientes de dispersión y absorción de la luz, el albedo de dispersión única y la concentración del número de partículas se presentan junto con información preliminar sobre sus tendencias a largo plazo y la comparación con la simulación del modelo para las diferentes estaciones. El alcance del presente documento también es proporcionar el conjunto de información necesario, incluidos los procedimientos de suministro de datos, el control y análisis de calidad, la política de datos y el uso de la red de medición de aerosoles terrestre. Ofrece a los usuarios del Centro Mundial de Datos sobre Aerosoles la confianza requerida en los productos de datos en forma de una cadena de valor completamente caracterizada, incluida la estimación de la incertidumbre y los requisitos para contribuir al sistema de vigilancia del clima mundial. Abstract. Aerosol particles are essential constituents of the Earth's atmosphere, impacting the earth radiation balance directly by scattering and absorbing solar radiation, and indirectly by acting as cloud condensation nuclei. In contrast to most greenhouse gases, aerosol particles have short atmospheric residence times, resulting in a highly heterogeneous distribution in space and time. There is a clear need to document this variability at regional scale through observations involving, in particular, the in situ near-surface segment of the atmospheric observation system. This paper will provide the widest effort so far to document variability of climate-relevant in situ aerosol properties (namely wavelength dependent particle light scattering and absorption coefficients, particle number concentration and particle number size distribution) from all sites connected to the Global Atmosphere Watch network. High-quality data from almost 90 stations worldwide have been collected and controlled for quality and are reported for a reference year in 2017, providing a very extended and robust view of the variability of these variables worldwide. The range of variability observed worldwide for light scattering and absorption coefficients, single-scattering albedo, and particle number concentration are presented together with preliminary information on their long-term trends and comparison with model simulation for the different stations. The scope of the present paper is also to provide the necessary suite of information, including data provision procedures, quality control and analysis, data policy, and usage of the ground-based aerosol measurement network. It delivers to users of the World Data Centre on Aerosol, the required confidence in data products in the form of a fully characterized value chain, including uncertainty estimation and requirements for contributing to the global climate monitoring system. الخلاصة: جسيمات الهباء الجوي هي مكونات أساسية للغلاف الجوي للأرض، وتؤثر على توازن إشعاع الأرض بشكل مباشر عن طريق تشتت وامتصاص الإشعاع الشمسي، وبشكل غير مباشر عن طريق العمل كنوى تكثيف السحب. على النقيض من معظم غازات الدفيئة، فإن جزيئات الهباء الجوي لها أوقات بقاء قصيرة في الغلاف الجوي، مما يؤدي إلى توزيع غير متجانس للغاية في المكان والزمان. هناك حاجة واضحة لتوثيق هذا التباين على المستوى الإقليمي من خلال عمليات الرصد التي تشمل، على وجه الخصوص، الجزء القريب من السطح في الموقع من نظام مراقبة الغلاف الجوي. ستوفر هذه الورقة أوسع جهد حتى الآن لتوثيق تقلب خصائص الهباء الجوي الموضعي ذات الصلة بالمناخ (أي معاملات تشتت وامتصاص ضوء الجسيمات المعتمدة على الطول الموجي وتركيز رقم الجسيمات وتوزيع حجم رقم الجسيمات) من جميع المواقع المتصلة بشبكة مراقبة الغلاف الجوي العالمية. تم جمع بيانات عالية الجودة من حوالي 90 محطة في جميع أنحاء العالم والتحكم فيها من أجل الجودة ويتم الإبلاغ عنها لسنة مرجعية في عام 2017، مما يوفر رؤية موسعة وقوية للغاية لتباين هذه المتغيرات في جميع أنحاء العالم. يتم تقديم نطاق التباين الملحوظ في جميع أنحاء العالم لمعاملات تشتت الضوء وامتصاصه، والبياض أحادي التشتت، وتركيز عدد الجسيمات مع معلومات أولية عن اتجاهاتها طويلة الأجل ومقارنتها بمحاكاة النموذج للمحطات المختلفة. يتمثل نطاق هذه الورقة أيضًا في توفير مجموعة المعلومات اللازمة، بما في ذلك إجراءات توفير البيانات، ومراقبة الجودة وتحليلها، وسياسة البيانات، واستخدام شبكة قياس الهباء الجوي الأرضية. وهي توفر لمستخدمي مركز البيانات العالمي المعني بالهباء الجوي الثقة المطلوبة في منتجات البيانات في شكل سلسلة قيمة مميزة بالكامل، بما في ذلك تقدير عدم اليقين ومتطلبات المساهمة في نظام مراقبة المناخ العالمي.

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    Authors: von Schuckmann, Karina; Minière, Audrey; Gues, Flora; Cuesta-Valero, Francisco José; +58 Authors

    Project: GCOS Earth Heat Inventory - A study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory (EHI), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period from 1960 to present. Summary: The file “GCOS_EHI_1960-2020_Earth_Heat_Inventory_Ocean_Heat_Content_data.nc” contains a consistent long-term Earth system heat inventory over the period 1960-2020. Human-induced atmospheric composition changes cause a radiative imbalance at the top-of-atmosphere which is driving global warming. Understanding the heat gain of the Earth system from this accumulated heat – and particularly how much and where the heat is distributed in the Earth system - is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This dataset is based on a study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory published in von Schuckmann et al. (2020), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2020. The dataset also contains estimates for global ocean heat content over 1960-2020 for different depth layers, i.e., 0-300m, 0-700m, 700-2000m, 0-2000m, 2000-bottom, which are described in von Schuckmann et al. (2022). This version includes an update of heat storage of global ocean heat content, where one additional product (Li et al., 2022) had been included to the initial estimate. The Earth heat inventory had been updated accordingly, considering also the update for continental heat content (Cuesta-Valero et al., 2023).

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    World Data Center for Climate
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    Authors: Neil L. Rose; Roland Psenner; Andrea Lami; Anna Agusti-Panareda; +9 Authors

    Physical, geochemical, and organic parameters were not controlled by air temperature. Among the biological records only diatoms and chrysophytes reacted to air temperature changes: the relative abundance of planktonic diatoms increased during warm periods and changes in mean annual alpine air temperature explained 36.5% of their variation. The relation between abundance of seasonal stomatocyst types and air temperature varied on two different time scales: while summer stomatocysts were influenced by short term temperature fluctuations, the autumn stomatocysts were affected only by the long term changes. Other biological parameters exhibited a constant species composition ( chironomids, pigments) or changes were small and independent of temperature ( cladocera). Spheroidal carbonaceous fly-ash particles, and trends in Pb and Cr indicated increasing deposition of atmospheric pollutants but had no detectable effects on the biological parameters either. In respect to temperature variations over the last 200 years, this alpine lake is much less sensitive than expected and has thus to be regarded as a well buffered site. However, temperature alone is not sufficient to understand changes in species composition and other biogeochemical processes with unknown historical patterns might have affected species composition more strongly. Changes in microfossils (diatoms, chrysophytes, chironomids and cladocera remains), geochemistry and deposition of atmospheric pollutants have been investigated in the sediment records of the alpine lake Gossenkollesee ( Tyrol, Austria) spanning the last two centuries. The sediment records were compared with seasonal and annual air temperature trends calculated for the elevation (2417 m a. s. l.) and the geographical position (47degrees13'46"N, 11degrees00'51"E) of the lake, and with precipitation records available since 1866 from Innsbruck. Temperature trends followed a 20 30 year oscillation between cold and warm periods. Regarding long-term changes, temperature trends showed a U-shaped trend between 1780 and 1950, followed by a steep increase since 1975.

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    Authors: Tolotti, M.; Guilizzoni, P.; Lami, A.; Musazzi, S.; +5 Authors

    Piburger See is a soft-water mountain lake located in the Central Eastern Alps (47°11'42''N, 10°53'18''E, Tyrol, Austria). The increase in recreational activities, tourism, and the application of fertilizer on nearby fields, resulted in enhanced primary production and rising hypolimnetic oxygen depletion in the lake during the 1950s and 1960s (Pechlaner, 1968). Lake restoration started in 1970 by exporting anoxic and nutrient-rich hypolimnetic waters with an Olszewski tube, and by reducing external nutrient loading by altering fertilizer application and by diverting sewage from a public bath. Lake oxygenation rapidly improved after 1970 (Pechlaner, 1979), while the response of total phosphorus (TP) and phytoplankton biomass to lake restoration was delayed by two decades (Fig. 1). Since the early 2000s, phytoplankton biovolume has increased again, suggesting a reversing trend in lake trophic status (Tolotti et al., 2012). Simultaneously, small changes in TP were recorded (Fig. 1). Although Piburger See was part of the OECD study on eutrophication and is currently included in the Austrian LTER network, the 45 year-long data-base includes several data gaps (e.g. for phytoplankton). To compensate for gaps in moniroring data, a paleolimnological study has been carried out on a radiometrically dated sediment core in order to reconstruct the lakes' trophic state since the late-19th century and to define the reference conditions for the lake (Thies et al., 2012). Limnological data recorded during the last four decades provided the validation of the inferred TP concentration (Fig. 2). Changes in phytoplankton biomass and species composition were analyzed in relation to nutrients and water temperature. Epilimnetic temperatures of Piburger See, reconstructed by long-term air temperature records, showed a pronounced increase during the mid-1940s and also since the late-20th century. Both periods also show increasing algal growth and changes in diatom species composition (i.e. increase in centric diatoms and recent blooms in Asterionella formosa). The combination of paleo- and neolimnology allowed the analysis of the role of climate and nutrients in driving phytoplankton changes in Piburger See. In particular, the study on sediments showed that long-term phytoplankton changes were mainly attributed to increasing lake temperature, while nutrients acted as modulating factor. On the other side, short-term changes in the phytoplankton of Piburger See since the 2000s were explained by varying nutrient concentrations and ratios (i.e. nitrogen and silica), while rising water temperature and enhanced thermal stability regulated the inter-annual lake variability. Our results underline that the combined impact of nutrients and climate on phytoplankton development can sustain short-time phytoplankton pulses, and thus mimic short-term increases in the trophic level of less productive lakes.

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    Authors: von Schuckmann, Karina; Cheng, Lijing; Palmer, Matthew D.; Hansen, James; +34 Authors

    Project: GCOS Earth Heat Inventory - A study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory (EHI), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2018. Summary: ‘Heat stored in the Earth system: Where does the energy go?’ contains a consistent long-term Earth system heat inventory over the period 1960-2018. Human-induced atmospheric composition changes cause a radiative imbalance at the top-of-atmosphere which is driving global warming. This Earth Energy Imbalance (EEI) is the most critical number defining the prospects for continued global warming and climate change. Understanding the heat gain of the Earth system from this accumulated heat – and particularly how much and where the heat is distributed in the Earth system - is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This dataset is based on a study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory, and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2018. Changes in version 2: a) uncertainties have been added and updated in the netcdf file b) Ocean heat content > 2000m depth: update of one time series, and thus revised ensemble mean c) Atmospheric heat content: update of the time series as received by experts on the 29/05/2020 d) Available heat cyropshere: update of the time series as received by experts on the 27/05/2020. e) some attributes have been added for more details.

    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/ World Data Center fo...arrow_drop_down
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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/
    World Data Center for Climate
    Dataset . 2020
    Data sources: Datacite
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      World Data Center for Climate
      Dataset . 2020
      Data sources: Datacite
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    The R&I Workforce in Energy Transition Survey (RIWET) Database has been produced in the context of the gEneSys Project. It contains the data collected through an online survey targeting researchers, technicians, experts, academics, practitioners engaged in scientific and technological knowledge production for the energy sector. The survey was designed to gauge employees' overall job satisfaction and assess the organizational culture, work-related quality of life and collaboration dynamics. The questionnaire explored persistent gender inequalities in the energy labor force and the strategies to address them from the workers' perspectives. The survey builds upon the recent study commissioned by CINEA, European Climate, Infrastructure and Environment Executive Agency, to help the European Commission improve the role of women in the energy transition and has been distributed to employees or professionals working in R&I activities in any energy related field (generation, storage, management or distribution, manufacturing, servicing, or distributing) of public or private organizations including research centres/academic departments, national/local agencies, companies, and businesses.

    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 . 2024
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2024
    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 . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2024
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      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 . 2024
      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 . 2024
      License: CC BY
      Data sources: Datacite
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