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  • 1
    Electronic Resource
    Electronic Resource
    Formation of mutagenic nitrodibenzopyranones and their occurrence in ambient air (1992)
    s.l. : American Chemical Society
    Environmental science & technology 26 (1992), S. 622-624 
    Details
    ISSN: 1520-5851
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology , Energy, Environment Protection, Nuclear Power Engineering
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/es00027a028
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    Paper (German National Licenses)
    Fulltext
  • 2
    Electronic Resource
    Electronic Resource
    Quantification of ambient nitrodibenzopyranones: further evidence for atmospheric mutagen formation (1992)
    s.l. : American Chemical Society
    Environmental science & technology 26 (1992), S. 2207-2213 
    Details
    ISSN: 1520-5851
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology , Energy, Environment Protection, Nuclear Power Engineering
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/es00035a020
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    Paper (German National Licenses)
    Fulltext
  • 3
    Electronic Resource
    Electronic Resource
    Water Adsorption Capacity of the Solid Adsorbents Tenax TA, Tenax GR, Carbotrap, Carbotrap C, Carbosieve SIII, and Carboxen 569 and Water Management Techniques for the Atmospheric Sampling of Volatile Organic Trace Gases (1995)
    s.l. : American Chemical Society
    Analytical chemistry 67 (1995), S. 4380-4386 
    Details
    ISSN: 1520-6882
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/ac00119a029
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    Paper (German National Licenses)
    Fulltext
  • 4
    Electronic Resource
    Electronic Resource
    Flame control accessory for GC-FID operation with autosampler injection (1990)
    Weinheim : Wiley-Blackwell
    Journal of High Resolution Chromatography 13 (1990), S. 849-851 
    Details
    ISSN: 0935-6304
    Keywords: Gas chromatography ; Automatic thermodesorption technique ; Flame ionization detector, FID ; Flame control ; Chemistry ; Analytical Chemistry and Spectroscopy
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology
    Additional Material: 1 Ill.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1002/jhrc.1240131214
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    Paper (German National Licenses)
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  • 5
    Electronic Resource
    Electronic Resource
    Artifact formation from the use of potassium-iodide-based ozone traps during atmospheric sampling of trace organic gases (1995)
    Weinheim : Wiley-Blackwell
    Journal of High Resolution Chromatography 18 (1995), S. 15-18 
    Details
    ISSN: 0935-6304
    Keywords: Ozone removal ; Potassium iodide ozone trap ; Artifact formation ; Organic iodine compounds ; Chemistry ; Analytical Chemistry and Spectroscopy
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology
    Notes: Trace atmospheric gases have been sampled using potassium-iodide-based reactant traps for ozone removal. GC-MS analysis revealed the presence of organic iodine compounds which were present neither in the atmosphere nor as contaminants of the materials used, but more likely arose from reactions of organic gases or aerosols sampled with reactive iodine or hypoiodite released from reaction of ozone with potassium iodide in the traps. Losses of the individual organic trace gases measured were not, however, observed as a result of this mechanism. Several cautions in identifying unknown compounds from the atmosphere when using potassium iodide ozone traps are discussed.
    Additional Material: 1 Tab.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1002/jhrc.1240180105
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    Paper (German National Licenses)
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  • 6
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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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  • 7
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    Ozone dry air mole fractions measured during MOSAiC 2019/2020 (merged dataset) (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: This dataset contains hourly-averaged ozone dry air mole fractions measured during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. This is a merged dataset that combines cross-evaluated measurements performed in the University of Colorado (CU), the Atmospheric Radiation Measurement (ARM) Program, and Swiss containers onboard Research Vessel Polarstern. The data columns include the Date and Time in Coordinated Universal Time (UTC), the latitude and longitude of the Research Vessel Polarstern, the ozone dry air mole fraction in nmol/mol, and the sampling location.
    Keywords: Aerosol Observing System; AOS; Arctic Ocean; central Arctic Ocean; DATE/TIME; LATITUDE; Location; LONGITUDE; MOSAiC; MOSAiC_ATMOS; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; O3_MONITOR; OZA; ozone; Ozone, dry-air mole fraction; Ozone analyzer; Ozone monitor; Polarstern; PS122/1; PS122/1_1-342; PS122/1_1-54; PS122/1_1-76; PS122/2; PS122/2_14-15; PS122/2_14-167; PS122/2_14-254; PS122/3; PS122/3_28-13; PS122/3_28-35; PS122/4; PS122/4_43-127; PS122/4_43-27; PS122/4_43-60; PS122/5; PS122/5_58-14; PS122/5_58-28
    Type: Dataset
    Format: text/tab-separated-values, 16262 data points
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    DATA PANGAEA
  • 8
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    Methane dry air mole fractions measured during MOSAiC 2019/2020 (merged dataset) (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: This dataset contains hourly-averaged methane dry air mole fractions measured during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. This is a merged dataset that combines cross-evaluated measurements performed in the University of Colorado (CU) and Swiss containers on Research Vessel Polarstern, along with cross-evaluated measurements performed on sea ice at Met City, and discrete whole air samples collected for post-cruise analysis at the National Oceanic and Atmospheric Administration (NOAA) Global Monitoring Laboratory (GML). The data columns include the Date and Time in Coordinated Universal Time (UTC), the latitude and longitude of the Research Vessel Polarstern, the methane dry air mole fraction in nmol/mol, and the sampling location.
    Keywords: AIRS; Air sampler; Arctic Ocean; Cavity ring-down greenhouse gas flux analyzer; central Arctic Ocean; CRDGFA; DATE/TIME; FLUX_TOWER; Flux tower; LATITUDE; Location; LONGITUDE; Methane, dry-air mole fraction; Methane concentration; MOSAiC; MOSAiC_ATMOS; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Polarstern; PS122/1; PS122/1_1-299; PS122/1_1-70; PS122/1_1-75; PS122/1_4-38; PS122/2; PS122/2_14-119; PS122/2_14-202; PS122/2_14-256; PS122/2_20-118; PS122/2_21-131; PS122/2_22-100; PS122/2_23-112; PS122/2_24-91; PS122/3; PS122/3_28-31; PS122/3_28-38; PS122/3_28-7; PS122/3_29-86; PS122/3_31-97; PS122/3_32-99; PS122/3_34-100; PS122/3_34-99; PS122/3_35-123; PS122/3_36-92; PS122/3_37-163; PS122/3_39-138; PS122/3_40-54; PS122/3_41-21; PS122/3_42-51; PS122/4; PS122/4_43-30; PS122/4_43-48; PS122/4_43-74; PS122/4_44-145; PS122/4_45-4; PS122/4_47-106; PS122/4_47-107; PS122/4_50-7; PS122/5; PS122/5_58-117; PS122/5_58-29; PS122/5_58-6; PS122/5_59-477; PS122/5_60-221; PS122/5_61-43; Snow sampler metal; SSM; TGM; Trace gas monitor
    Type: Dataset
    Format: text/tab-separated-values, 16170 data points
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    DATA PANGAEA
  • 9
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    Carbon monoxide dry air mole fractions measured during MOSAiC 2019/2020 (merged dataset) (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: This dataset contains hourly-averaged carbon monoxide dry air mole fractions measured during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. This is a merged dataset that combines cross-evaluated measurements performed in the Atmospheric Radiation Measurement (ARM) Program and Swiss containers on the D-deck of Research Vessel Polarstern, along with data from discrete whole air samples collected for post-cruise analysis at the National Oceanic and Atmospheric Administration (NOAA) Global Monitoring Laboratory (GML). The data columns include the Date and Time in Coordinated Universal Time (UTC), the latitude and longitude of the Research Vessel Polarstern, the carbon monoxide dry air mole fraction in nmol/mol, and the sampling location.
    Keywords: Aerosol Observing System; AIRS; Air sampler; AOS; Arctic Ocean; carbon monoxide; Carbon monoxide, dry-air mole fraction; central Arctic Ocean; DATE/TIME; LATITUDE; Location; LONGITUDE; MOSAiC; MOSAiC_ATMOS; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Polarstern; PS122/1; PS122/1_1-342; PS122/1_1-75; PS122/1_4-38; PS122/2; PS122/2_14-15; PS122/2_14-256; PS122/2_20-118; PS122/2_21-131; PS122/2_22-100; PS122/2_23-112; PS122/2_24-91; PS122/3; PS122/3_28-38; PS122/3_29-86; PS122/3_31-97; PS122/3_32-99; PS122/3_34-100; PS122/3_34-99; PS122/3_35-123; PS122/3_36-92; PS122/3_37-163; PS122/3_39-138; PS122/3_40-54; PS122/3_41-21; PS122/3_42-51; PS122/4; PS122/4_43-127; PS122/4_43-30; PS122/4_44-145; PS122/4_45-4; PS122/4_47-106; PS122/4_47-107; PS122/4_50-7; PS122/5; PS122/5_58-29; PS122/5_59-477; PS122/5_60-221; PS122/5_61-43; Snow sampler metal; SSM; TGM; Trace gas monitor
    Type: Dataset
    Format: text/tab-separated-values, 15740 data points
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  • 10
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    Carbon dioxide dry air mole fractions measured during MOSAiC 2019/2020 (merged dataset) (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: This dataset contains hourly-averaged carbon dioxide dry air mole fractions measured during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. This is a merged dataset that combines cross-evaluated measurements performed in the University of Colorado (CU) and Swiss containers on Research Vessel Polarstern, along with cross-evaluated measurements performed on sea ice at Met City, and discrete whole air samples collected for post-cruise analysis at the National Oceanic and Atmospheric Administration (NOAA) Global Monitoring Laboratory (GML). This merged dataset is recommended for further use by the community. The data columns include the Date and Time in Coordinated Universal Time (UTC), the latitude and longitude of the Research Vessel Polarstern, the carbon dioxide dry air mole fraction in µmol/mol, and the sampling location.
    Keywords: AIRS; Air sampler; Arctic Ocean; carbon dioxide; Carbon dioxide, dry-air mole fraction; Cavity ring-down greenhouse gas flux analyzer; central Arctic Ocean; CRDGFA; DATE/TIME; FLUX_TOWER; Flux tower; LATITUDE; Location; LONGITUDE; MOSAiC; MOSAiC_ATMOS; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Polarstern; PS122/1; PS122/1_1-299; PS122/1_1-70; PS122/1_1-75; PS122/1_4-38; PS122/2; PS122/2_14-119; PS122/2_14-202; PS122/2_14-256; PS122/2_20-118; PS122/2_21-131; PS122/2_22-100; PS122/2_23-112; PS122/2_24-91; PS122/3; PS122/3_28-31; PS122/3_28-38; PS122/3_28-7; PS122/3_29-86; PS122/3_31-97; PS122/3_32-99; PS122/3_34-100; PS122/3_34-99; PS122/3_35-123; PS122/3_36-92; PS122/3_37-163; PS122/3_39-138; PS122/3_40-54; PS122/3_41-21; PS122/3_42-51; PS122/4; PS122/4_43-30; PS122/4_43-48; PS122/4_43-74; PS122/4_44-145; PS122/4_45-4; PS122/4_47-106; PS122/4_47-107; PS122/4_50-7; PS122/5; PS122/5_58-117; PS122/5_58-29; PS122/5_58-6; PS122/5_59-477; PS122/5_60-221; PS122/5_61-43; Snow sampler metal; SSM; TGM; Trace gas monitor
    Type: Dataset
    Format: text/tab-separated-values, 15230 data points
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    DATA PANGAEA
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