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  • 1
    In: Earth System Science Data, Copernicus GmbH, Vol. 5, No. 1 ( 2013-04-04), p. 125-143
    Abstract: Abstract. A well-documented, publicly available, global data set of surface ocean carbon dioxide (CO2) parameters has been called for by international groups for nearly two decades. The Surface Ocean CO2 Atlas (SOCAT) project was initiated by the international marine carbon science community in 2007 with the aim of providing a comprehensive, publicly available, regularly updated, global data set of marine surface CO2, which had been subject to quality control (QC). Many additional CO2 data, not yet made public via the Carbon Dioxide Information Analysis Center (CDIAC), were retrieved from data originators, public websites and other data centres. All data were put in a uniform format following a strict protocol. Quality control was carried out according to clearly defined criteria. Regional specialists performed the quality control, using state-of-the-art web-based tools, specially developed for accomplishing this global team effort. SOCAT version 1.5 was made public in September 2011 and holds 6.3 million quality controlled surface CO2 data points from the global oceans and coastal seas, spanning four decades (1968–2007). Three types of data products are available: individual cruise files, a merged complete data set and gridded products. With the rapid expansion of marine CO2 data collection and the importance of quantifying net global oceanic CO2 uptake and its changes, sustained data synthesis and data access are priorities.
    Type of Medium: Online Resource
    ISSN: 1866-3516
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2013
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  • 2
    In: Earth System Science Data, Copernicus GmbH, Vol. 5, No. 1 ( 2013-04-04), p. 145-153
    Abstract: Abstract. As a response to public demand for a well-documented, quality controlled, publically available, global surface ocean carbon dioxide (CO2) data set, the international marine carbon science community developed the Surface Ocean CO2 Atlas (SOCAT). The first SOCAT product is a collection of 6.3 million quality controlled surface CO2 data from the global oceans and coastal seas, spanning four decades (1968–2007). The SOCAT gridded data presented here is the second data product to come from the SOCAT project. Recognizing that some groups may have trouble working with millions of measurements, the SOCAT gridded product was generated to provide a robust, regularly spaced CO2 fugacity (fCO2) product with minimal spatial and temporal interpolation, which should be easier to work with for many applications. Gridded SOCAT is rich with information that has not been fully explored yet (e.g., regional differences in the seasonal cycles), but also contains biases and limitations that the user needs to recognize and address (e.g., local influences on values in some coastal regions).
    Type of Medium: Online Resource
    ISSN: 1866-3516
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2013
    detail.hit.zdb_id: 2475469-9
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  • 3
    In: Earth System Science Data, Copernicus GmbH, Vol. 6, No. 1 ( 2014-03-07), p. 69-90
    Abstract: Abstract. The Surface Ocean CO2 Atlas (SOCAT), an activity of the international marine carbon research community, provides access to synthesis and gridded fCO2 (fugacity of carbon dioxide) products for the surface oceans. Version 2 of SOCAT is an update of the previous release (version 1) with more data (increased from 6.3 million to 10.1 million surface water fCO2 values) and extended data coverage (from 1968–2007 to 1968–2011). The quality control criteria, while identical in both versions, have been applied more strictly in version 2 than in version 1. The SOCAT website (http://www.socat.info/) has links to quality control comments, metadata, individual data set files, and synthesis and gridded data products. Interactive online tools allow visitors to explore the richness of the data. Applications of SOCAT include process studies, quantification of the ocean carbon sink and its spatial, seasonal, year-to-year and longerterm variation, as well as initialisation or validation of ocean carbon models and coupled climate-carbon models. Data coverage Repository-References: Individual data set files and synthesis product: doi:10.1594/PANGAEA.811776 Gridded products: doi:10.3334/CDIAC/OTG.SOCAT_V2_GRID Available at: http://www.socat.info/ Coverage: 79° S to 90° N; 180° W to 180° E Location Name: Global Oceans and Coastal Seas Date/Time Start: 16 November 1968 Date/Time End: 26 December 2011
    Type of Medium: Online Resource
    ISSN: 1866-3516
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2014
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  • 4
    Online Resource
    Online Resource
    Copernicus GmbH ; 2015
    In:  Earth System Science Data Vol. 7, No. 1 ( 2015-05-08), p. 47-85
    In: Earth System Science Data, Copernicus GmbH, Vol. 7, No. 1 ( 2015-05-08), p. 47-85
    Abstract: Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and a methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics, and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates, consistency within and among components, alongside methodology and data limitations. CO2 emissions from fossil fuel combustion and cement production (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on combined evidence from land-cover-change data, fire activity associated with deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. The variability in SOCEAN is evaluated with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of independent dynamic global vegetation models forced by observed climate, CO2, and land-cover-change (some including nitrogen–carbon interactions). We compare the mean land and ocean fluxes and their variability to estimates from three atmospheric inverse methods for three broad latitude bands. All uncertainties are reported as ±1σ, reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. For the last decade available (2004–2013), EFF was 8.9 ± 0.4 GtC yr−1, ELUC 0.9 ± 0.5 GtC yr−1, GATM 4.3 ± 0.1 GtC yr−1, SOCEAN 2.6 ± 0.5 GtC yr−1, and SLAND 2.9 ± 0.8 GtC yr−1. For year 2013 alone, EFF grew to 9.9 ± 0.5 GtC yr−1, 2.3% above 2012, continuing the growth trend in these emissions, ELUC was 0.9 ± 0.5 GtC yr−1, GATM was 5.4 ± 0.2 GtC yr−1, SOCEAN was 2.9 ± 0.5 GtC yr−1, and SLAND was 2.5 ± 0.9 GtC yr−1. GATM was high in 2013, reflecting a steady increase in EFF and smaller and opposite changes between SOCEAN and SLAND compared to the past decade (2004–2013). The global atmospheric CO2 concentration reached 395.31 ± 0.10 ppm averaged over 2013. We estimate that EFF will increase by 2.5% (1.3–3.5%) to 10.1 ± 0.6 GtC in 2014 (37.0 ± 2.2 GtCO2 yr−1), 65% above emissions in 1990, based on projections of world gross domestic product and recent changes in the carbon intensity of the global economy. From this projection of EFF and assumed constant ELUC for 2014, cumulative emissions of CO2 will reach about 545 ± 55 GtC (2000 ± 200 GtCO2) for 1870–2014, about 75% from EFF and 25% from ELUC. This paper documents changes in the methods and data sets used in this new carbon budget compared with previous publications of this living data set (Le Quéré et al., 2013, 2014). All observations presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCP_2014).
    Type of Medium: Online Resource
    ISSN: 1866-3516
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2015
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  • 5
    In: Economic Geology, Society of Economic Geologists, Inc., Vol. 111, No. 8 ( 2016-12), p. 1883-1914
    Type of Medium: Online Resource
    ISSN: 0361-0128 , 1554-0774
    Language: English
    Publisher: Society of Economic Geologists, Inc.
    Publication Date: 2016
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    SSG: 13
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  • 6
    Online Resource
    Online Resource
    American Meteorological Society ; 2021
    In:  Bulletin of the American Meteorological Society Vol. 102, No. 8 ( 2021-08-01), p. S143-S198
    In: Bulletin of the American Meteorological Society, American Meteorological Society, Vol. 102, No. 8 ( 2021-08-01), p. S143-S198
    Type of Medium: Online Resource
    ISSN: 0003-0007 , 1520-0477
    Language: Unknown
    Publisher: American Meteorological Society
    Publication Date: 2021
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  • 7
    In: Earth System Science Data, Copernicus GmbH, Vol. 8, No. 2 ( 2016-09-15), p. 383-413
    Abstract: Abstract. The Surface Ocean CO2 Atlas (SOCAT) is a synthesis of quality-controlled fCO2 (fugacity of carbon dioxide) values for the global surface oceans and coastal seas with regular updates. Version 3 of SOCAT has 14.7 million fCO2 values from 3646 data sets covering the years 1957 to 2014. This latest version has an additional 4.6 million fCO2 values relative to version 2 and extends the record from 2011 to 2014. Version 3 also significantly increases the data availability for 2005 to 2013. SOCAT has an average of approximately 1.2 million surface water fCO2 values per year for the years 2006 to 2012. Quality and documentation of the data has improved. A new feature is the data set quality control (QC) flag of E for data from alternative sensors and platforms. The accuracy of surface water fCO2 has been defined for all data set QC flags. Automated range checking has been carried out for all data sets during their upload into SOCAT. The upgrade of the interactive Data Set Viewer (previously known as the Cruise Data Viewer) allows better interrogation of the SOCAT data collection and rapid creation of high-quality figures for scientific presentations. Automated data upload has been launched for version 4 and will enable more frequent SOCAT releases in the future. High-profile scientific applications of SOCAT include quantification of the ocean sink for atmospheric carbon dioxide and its long-term variation, detection of ocean acidification, as well as evaluation of coupled-climate and ocean-only biogeochemical models. Users of SOCAT data products are urged to acknowledge the contribution of data providers, as stated in the SOCAT Fair Data Use Statement. This ESSD (Earth System Science Data) "living data" publication documents the methods and data sets used for the assembly of this new version of the SOCAT data collection and compares these with those used for earlier versions of the data collection (Pfeil et al., 2013; Sabine et al., 2013; Bakker et al., 2014). Individual data set files, included in the synthesis product, can be downloaded here: doi:10.1594/PANGAEA.849770. The gridded products are available here: doi:10.3334/CDIAC/OTG.SOCAT_V3_GRID.
    Type of Medium: Online Resource
    ISSN: 1866-3516
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2016
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  • 8
    In: Open Forum Infectious Diseases, Oxford University Press (OUP), Vol. 9, No. Supplement_2 ( 2022-12-15)
    Abstract: International travel facilitates SARS-CoV-2 spread globally. Early detection of variants among arriving international travelers could provide viral information about introduction of variants with differing infectivity, virulence, and vaccine effectiveness, enabling adjustments to treatment and prevention strategies. We initiated a genomic surveillance program at 4 US airports to detect SARS-CoV-2 variants among arriving international travelers. Methods Between November 29, 2021-April 24, 2022, we enrolled arriving air travelers (≥18 years) from flights originating in 16 countries on 5 continents. At four airports, participants self-collected nasal swab samples that were pooled with 5–25 other samples by country of flight. Participants were also given a take-home saliva collection kit; saliva was collected 3-5 days after arrival and mailed back to the laboratory. SARS-CoV-2 reverse transcription–polymerase chain reaction (RT-PCR) was performed on all samples at the laboratory. Positives underwent whole genome sequencing. Demographic, clinical, and travel information was collected. Results We enrolled 28,656 travelers; median age was 42 years (interquartile range 31-55), 48% were female, and 99.4% self-reported COVID-19 vaccination. Overall, 19% (504/2,666) of pooled and 7.5% (285/3804) of individual samples were positive for SARS-CoV-2. Highest pool positivity of 46% occurred during January 3–10, 2022 (Figure 1). Omicron variant accounted for 97% of sequences (Figure 2). We detected the earliest reporting of Omicron sub-lineages BA.2 and BA.3 (7 and 43 days earlier than reported elsewhere) in the United States and North America, respectively. During April 4–18, we detected an increasing trend of pool positivity among travelers on South African flights, detecting one of the first US-reported BA.4 sub-lineages consistent with early surge of cases in South Africa. Weekly pooled positivity for travelers on South African flights aligned with World Health Organization (WHO)-reported 7-day COVID-19 incidence rates over the same period (Figure 3). Conclusion This genomic sequencing surveillance platform is a model for traveler-based SARS-CoV-2 genomic surveillance that can be used as an early warning system to detect future outbreaks and pandemics. Disclosures Renee Wegrzyn, PhD, Ginkgo Bioworks: Stocks/Bonds Robert C. Morfino, MBA, Ginkgo Bioworks Inc: Employee|Ginkgo Bioworks Inc: Stocks/Bonds Scott Milford, n/a, XpresSpa Group, Inc: Stocks/Bonds Scott Milford, n/a, XpresSpa Group, Inc: Stocks/Bonds Ezra T. Ernst, n/a, XpresSpa Group, Inc: Ownership Interest|XpresSpa Group, Inc: Stocks/Bonds William W. Darrow, n/a, XpresSpa Group, Inc: Stocks/Bonds Siyao Lisa Li, n/a, Ginkgo Bioworks, Inc: Grant/Research Support|Ginkgo Bioworks, Inc: Stocks/Bonds Thomas Aichele, n/a, Ginkgo Bioworks, Inc: Grant/Research Support|Ginkgo Bioworks, Inc: Stocks/Bonds Andrew Rothstein, n/a, Ginkgo Bioworks, Inc: Grant/Research Support|Ginkgo Bioworks, Inc: Stocks/Bonds Benjamin Rome, MBA, Ginkgo Bioworks, Inc: Grant/Research Support|Ginkgo Bioworks, Inc: Stocks/Bonds Gabrielle Woronoff, PhD, Ginkgo Bioworks, Inc: Grant/Research Support|Ginkgo Bioworks, Inc: Stocks/Bonds Keith Robison, PhD, Ginkgo Bioworks, Inc: Grant/Research Support|Ginkgo Bioworks, Inc: Stocks/Bonds Dongjuan Dai, PhD, Ginkgo Bioworks, Inc: Grant/Research Support|Ginkgo Bioworks, Inc: Stocks/Bonds Allison Hicks, PhD, Ginkgo Bioworks: I am a current employee|Ginkgo Bioworks: Stocks/Bonds Bryan Cosca, n/a, Ginkgo Bioworks, Inc: Grant/Research Support|Ginkgo Bioworks, Inc: Stocks/Bonds Alex Plocik, PhD, Ginkgo Bioworks, Inc: Grant/Research Support|Ginkgo Bioworks, Inc: Stocks/Bonds Birgitte Simen, PhD, Ginkgo Bioworks: I am a current employee|Ginkgo Bioworks: Stocks/Bonds.
    Type of Medium: Online Resource
    ISSN: 2328-8957
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
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  • 9
    Online Resource
    Online Resource
    American Geophysical Union (AGU) ; 2007
    In:  Tectonics Vol. 26, No. 4 ( 2007-08), p. n/a-n/a
    In: Tectonics, American Geophysical Union (AGU), Vol. 26, No. 4 ( 2007-08), p. n/a-n/a
    Type of Medium: Online Resource
    ISSN: 0278-7407
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 2007
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    SSG: 16,13
    SSG: 13
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  • 10
    Online Resource
    Online Resource
    American Journal of Science (AJS) ; 2015
    In:  American Journal of Science Vol. 315, No. 4 ( 2015-04-01), p. 317-336
    In: American Journal of Science, American Journal of Science (AJS), Vol. 315, No. 4 ( 2015-04-01), p. 317-336
    Type of Medium: Online Resource
    ISSN: 0002-9599
    RVK:
    Language: English
    Publisher: American Journal of Science (AJS)
    Publication Date: 2015
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    SSG: 13
    SSG: 25
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