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  • Data  (48)
  • 2015-2019  (48)
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  • 1
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    Tropospheric Ozone Assessment Report, links to Global surface ozone datasets (2017)
    PANGAEA
    In:  Supplement to: Schultz, Martin G; Schröder, Sabine; Lyapina, Olga; Cooper, Owen R; Galbally, Ian; Petropavlovskikh, Irina; von Schneidemesser, Erika; Tanimoto, Hiroshi; Elshorbany, Yasin; Naja, Manish; Seguel, Rodrigo J; Dauert, Ute; Eckhardt, Paul; Feigenspan, Stefan; Fiebig, Markus; Hjellbrekke, Anne-Gunn; Hong, You-Deog; Kjeld, Peter Christian; Koide, Hiroshi; Lear, Gary; Tarasick, David; Ueno, Mikio; Wallasch, Markus; Baumgardner, Darrel; Chuang, Ming-Tung; Gillett, Robert; Lee, Meehye; Molloy, Suzie; Moolla, Raeesa; Wang, Tao; Sharps, Katrina; Adame, Jose A; Ancellet, Gerard; Apadula, Francesco; Artaxo, Paulo; Barlasina, Maria E; Bogucka, Magdalena; Bonasoni, Paolo; Chang, Limseok; Colomb, Aurelie; Cuevas-Agulló, Emilio; Cupeiro, Manuel; Degorska, Anna; Ding, Aijun; Fröhlich, Marina; Frolova, Marina; Gadhavi, Harish; Gheusi, Francois; Gilge, Stefan; Gonzalez, Margarita Y; Gros, Valérie; Hamad, Samera H; Helmig, Detlev; Henriques, Diamantino; Hermansen, Ove; Holla, Robert; Hueber, Jacques; Im, Ulas; Jaffe, Daniel A; Komala, Ninong; Kubistin, Dagmar; Lam, Ka-Se; Laurila, Tuomas; Lee, Haeyoung; Levy, Ilan; Mazzoleni, Claudio; Mazzoleni, Lynn R; McClure-Begley, Audra; Mohamad, Maznorizan; Murovec, Marijana; Navarro-Comas, Monica; Nicodim, Florin; Parrish, David; Read, Katie Alana; Reid, Nick; Ries, Ludwig; Saxena, Pallavi; Schwab, James J; Scorgie, Yvonne; Senik, Irina; Simmonds, Peter; Sinha, Vinayak; Skorokhod, Andrey I; Spain, Gerard; Spangl, Wolfgang; Spoor, Ronald; Springston, Stephen R; Steer, Kelvyn; Steinbacher, Martin; Suharguniyawan, Eka; Torre, Paul; Trickl, Thomas; Weili, Lin; Weller, Rolf; Xu, Xiaobin; Xue, Likun; Ma, Zhiqiang (2017): Tropospheric Ozone Assessment Report: Database and Metrics Data of Global Surface Ozone Observations. Elementa - Science of the Anthropocene, 5:58, 26 pp, https://doi.org/10.1525/elementa.244
    Details
    Publication Date: 2023-11-18
    Description: In support of the first Tropospheric Ozone Assessment Report (TOAR) a relational database of global surface ozone observations has been developed and populated with hourly measurement data and enhanced metadata. A comprehensive suite of ozone metrics products including standard statistics, health and vegetation impact metrics, and trend information, are made available through a common data portal and a web interface. These data form the basis of the TOAR analyses focusing on human health, vegetation, and climate relevant ozone issues, which are part of this special feature. By combining the data from almost 10,000 measurement sites around the world with global metadata information, new analyses of surface ozone have become possible, such as the first globally consistent characterisations of measurement sites as either urban or rural/remote. Exploitation of these global metadata allow for new insights into the global distribution, and seasonal and long-term changes of tropospheric ozone. Cooperation among many data centers and individual researchers worldwide made it possible to build the world's largest collection of in-situ hourly surface ozone data covering the period from 1970 to 2015. Considerable effort was made to harmonize and synthesize data formats and metadata information from various networks and individual data submissions. Extensive quality control was applied to identify questionable and erroneous data, including changes in apparent instrument offsets or calibrations. Such data were excluded from TOAR data products. Limitations of a posteriori data quality assurance are discussed. As a result of the work presented here, global coverage of surface ozone data has been significantly extended. Yet, large gaps remain in the surface observation network both in terms of regions without monitoring, and in terms of regions that have monitoring programs but no public access to the data archive. Therefore future improvements to the database will require not only improved data harmonization, but also expanded data sharing and increased monitoring in data-sparse regions.
    Keywords: TOAR; Tropospheric Ozone Assessment Report
    Type: Dataset
    Format: application/zip, 7 datasets
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    DATA PANGAEA
  • 2
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    Integrated Geophysical Exploration Technologies for Deep Fractured Geothermal Systems. Report on the magnetotelluric data of project IGET.2006 (2019)
    GFZ Data Services
    Details
    Publication Date: 2022-03-04
    Description: Abstract
    Description: The Integrated Geophysical Exploration Technologies for Deep Fractured Geothermal Systems project (I-GET) was aimed at developing an innovative strategy for geophysical exploration, particularly to exploit the full potential of seismic and electromagnetic exploration methods in detecting permeable zones and fluid bearing fractures.The proposed geothermal exploration approach was applied in selected European geothermal systems with different geological and thermodynamic reservoir characteristics: in Italy (high enthalpy reservoir in metamorphic rocks), in Iceland (high enthalpy reservoir in volcanic rocks) and in Germany and Poland (low to middle enthalpy reservoir in sedimentary rocks).The Groß Schönebeck in-situ geothermal laboratory, located 40 km north of Berlin in northeastern Germany, is a key site for testing the geothermal potential of deep sedimentary basins. The target reservoir is located in Lower Permian sandstones and volcanic strata, which host deep aquifers throughout the Northeast German Basin (NEGB). The laboratory consists of two 4.3-km-deep boreholes.The electrical conductivity of the subsurface is a very important parameter for characterizing geothermal systems as hot and mineralized (saline) fluids of deep aquifers can be imaged as regions of high electrical conductivity. In the first phase of the I-GET project, carried out in summer 2006, MT data was recorded at 55 stations along a 40-km long profile. In order to reduce the effect of the cultural noise, 4 remote reference stations located at distances of about 100 km from the profile were used. This profile is spatially coincident with a seismic tomography profile (Bauer et al., 2010). The main objective of the geophysical site characterization experiments was to derive combined electrical conductivity and P- and S-velocity tomographic models for a joint interpretation in high resolution.The data are provided in EMERALD format (Ritter et al., 2015). The folder structure and content is described in detail in Ritter et al., 2019. The project specific description is available in the associated data description file including information on the experimental setup and data collection, the instrumentation, recording configuration and data processing. Scientific outcomes of this project were published by Muñoz et al., (2010a, 2010b).
    Keywords: Electrical Properties ; Magnetotellurics ; Geothermal Energy ; Low Enthalpy ; North Eastern German Basin ; GIPP-MT ; Groß Schönebeck ; In Situ/Laboratory Instruments 〉 Probes ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM 〉 MAGNETIC FIELD 〉 GEOMAGNETIC INDUCTION
    Type: Dataset
    Format: 1 Files
    Format: application/octet-stream
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    DATA GFZ
  • 3
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    Compiled linescanner images of sediment core GeoB20302-1 (2017)
    PANGAEA
    Details
    Publication Date: 2023-03-10
    Keywords: ADOMIS; Center for Marine Environmental Sciences; GeoB20302-1; Gravity corer (Kiel type); Maria S. Merian; MARUM; MSM48; MSM48_551-1; SL; South Atlantic Ocean
    Type: Dataset
    Format: unknown
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    DATA PANGAEA
  • 4
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    Compiled linescanner images of sediment core GeoB20303-7 (2017)
    PANGAEA
    Details
    Publication Date: 2023-03-10
    Keywords: ADOMIS; Center for Marine Environmental Sciences; GeoB20303-7; Gravity corer (Kiel type); Maria S. Merian; MARUM; MSM48; MSM48_552-7; SL; South Atlantic Ocean
    Type: Dataset
    Format: unknown
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    DATA PANGAEA
  • 5
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    Compiled linescanner images of sediment core GeoB20304-6 (2017)
    PANGAEA
    Details
    Publication Date: 2023-03-10
    Keywords: ADOMIS; Center for Marine Environmental Sciences; GeoB20304-6; Gravity corer (Kiel type); Maria S. Merian; MARUM; MSM48; MSM48_553-6; SL; South Atlantic Ocean
    Type: Dataset
    Format: unknown
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    DATA PANGAEA
  • 6
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    Compiled linescanner images of sediment core GeoB20305-7 (2017)
    PANGAEA
    Details
    Publication Date: 2023-03-10
    Keywords: ADOMIS; Center for Marine Environmental Sciences; GeoB20305-7; Gravity corer (Kiel type); Maria S. Merian; MARUM; MSM48; MSM48_554-6; SL; South Atlantic Ocean
    Type: Dataset
    Format: unknown
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    DATA PANGAEA
  • 7
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    Compiled linescanner images of sediment core GeoB20306-8 (2017)
    PANGAEA
    Details
    Publication Date: 2023-03-10
    Keywords: ADOMIS; Center for Marine Environmental Sciences; GeoB20306-8; Gravity corer (Kiel type); Maria S. Merian; MARUM; MSM48; MSM48_555-8; SL; South Atlantic Ocean
    Type: Dataset
    Format: unknown
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    DATA PANGAEA
  • 8
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    Compiled linescanner images of sediment core GeoB20307-4 (2017)
    PANGAEA
    Details
    Publication Date: 2023-03-10
    Keywords: ADOMIS; Center for Marine Environmental Sciences; GeoB20307-4; Gravity corer (Kiel type); Maria S. Merian; MARUM; MSM48; MSM48_556-4; SL; South Atlantic Ocean
    Type: Dataset
    Format: unknown
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    DATA PANGAEA
  • 9
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    Compiled linescanner images of sediment core GeoB20321-8 (2017)
    PANGAEA
    Details
    Publication Date: 2023-03-10
    Keywords: ADOMIS; Center for Marine Environmental Sciences; GeoB20321-8; Gravity corer (Kiel type); Maria S. Merian; MARUM; MSM48; MSM48_571-5; SL; South Atlantic Ocean
    Type: Dataset
    Format: unknown
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    DATA PANGAEA
  • 10
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    Compiled linescanner images of sediment core GeoB20331-6 (2017)
    PANGAEA
    Details
    Publication Date: 2023-03-10
    Keywords: ADOMIS; Center for Marine Environmental Sciences; GeoB20331-6; Gravity corer (Kiel type); Maria S. Merian; MARUM; MSM48; MSM48_581-6; SL; South Atlantic Ocean
    Type: Dataset
    Format: unknown
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    DATA PANGAEA
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