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  • 1
    Electronic Resource
    Electronic Resource
    One in the eye to plastic card fraud (1995)
    Bingley : Emerald
    International journal of retail and distribution management 23 (1995), S. 3-11 
    Details
    ISSN: 0959-0552
    Source: Emerald Fulltext Archive Database 1994-2005
    Topics: Economics
    Notes: Explores the potential use of behavioural and physiologicalbiometric techniques in the battle against credit card fraud in theretail environment. Discusses automatic speaker and dynamic signatureverification, fingerprint and facial recognition, retinal and irisscanning, and hand and finger geometry. The requirement for recognitionperformance, speed of use, usability and customer acceptance, device andcard cost are considered, along with industry standards for biometricdevices.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1108/09590559510089195
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Laser direct imaging and improved process capability (2002)
    Bradford : Emerald
    Circuit world 28 (2002), S. 16-20 
    Details
    ISSN: 0305-6120
    Source: Emerald Fulltext Archive Database 1994-2005
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: A detailed multi-site study has been undertaken to determine the variation in the positional accuracy of circuit features in the manufacture of large panel High-Density Interconnect (HDI) printed circuit boards. The imaging stages were particularly referenced when it was shown that photo-tool variation between 7 sites on 19 different photo-plotters from 3 manufactures differed by substantially more than the typical HDI design rule. After photo-plotter optimisation the residual errors between them were commonly of 2 types. It was concluded that the errors introduced in the standard photo-tooling process were such that it was not possible to produce guaranteed yields on large HDI panels. It has been shown that the use of LDI can reduce costs and speed up the photo-tooling production process. 3 different LDI machines were evaluated to study the concept of large panel high volume production. One was chosen for a long-term study which concluded that HDI panels up to 30×24? could be produced with the accuracy required for HDI designs. The output was approximately 9,000 scans per week but the productivity of circuit boards per panel was substantially improved with the larger panel size. It is feasible to double the throughput with the development of improved handling systems.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1108/03056120210431499
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    Paper (German National Licenses)
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  • 3
    Electronic Resource
    Electronic Resource
    In retrospect (1997)
    [s.l.] : Nature Publishing Group
    Nature 385 (1997), S. 311-311 
    Details
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] chosen by In pre-Revolutionary Russia, 14 levels of excellence were needed to reflect the nation's diversity of worth: yes, from Governor General to State Counsellor Second Class* each was indispensable. To move up a grade was man's sole purpose. In that pursuit all else was allowed ...
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1038/385311a0
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    Paper (German National Licenses)
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  • 4
    Electronic Resource
    Electronic Resource
    Identification and use of guidelines for the design of computer supported collaborative writing tools (1994)
    Springer
    Computer supported cooperative work 3 (1994), S. 379-404 
    Details
    ISSN: 1573-7551
    Keywords: asynchronous distributed groupware ; collaborative writing ; writing models ; design guidelines
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract As groupware and workflow technologies become widely accepted, it is important to identify and clarify best practice at all stages of the development of those systems. One approach to the promulgation of best practice is to develop clear and effective guidelines for application in system development. This paper is primarily concerned with the identification of guidelines to drive the design and implementation of one class of groupware — collaborative writing systems. In particular, consideration is given to guidelines for systems which support groups of distributed collaborating authors working asynchronously. Three relevant areas are investigated. First, social and integration issues of generic groupware are presented. Second, the design of existing collaborative writing tools is addressed. Third, models of both individual writers and collaborative writing tasks are discussed. Guidelines are drawn from each area. The guidelines have been adopted in the design of MILO, a collaborative writing system. MILO is briefly described and the way in which the guidelines have been implemented in MILO is reviewed. In conclusion, insights gained from informal observations of MILO in use for both single and multiple author tasks are presented.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00750747
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    Paper (German National Licenses)
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  • 5
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    Spatial decorrelation lengths of surface ocean fCO2 results in NetCDF format (2014)
    PANGAEA
    In:  Supplement to: Jones, Steve D; Le Quéré, Corinne; Rödenbeck, Christian (2012): Autocorrelation characteristics of surface ocean pCO2 and air-sea CO2 fluxes. Global Biogeochemical Cycles, 26(2), GB2042, https://doi.org/10.1029/2010GB004017
    Details
    Publication Date: 2023-06-10
    Description: Understanding the variability and coherence of surface ocean pCO2 on a global scale can provide insights into its physical and biogeochemical drivers and inform future samplings strategies and data assimilation methods. We present temporal and spatial autocorrelation analyses of surface ocean pCO2on a 5° × 5° grid using the Lamont-Doherty Earth Observatory database. The seasonal cycle is robust with an interannual autocorrelation of ~0.4 across multiple years. The global median spatial autocorrelation (e-folding) length is 400 ± 250 km, with large variability across different regions. Autocorrelation lengths of up to 3,000 km are found along major currents and basin gyres while autocorrelation lengths as low as 50 km are found in coastal regions and other areas of physical turbulence. Zonal (east–west) autocorrelation lengths are typically longer than their meridional counterparts, reflecting the zonal nature of many major ocean features. Uncertainties in spatial autocorrelation in different ocean basins are between 42% and 73% of the calculated decorrelation length. The spatial autocorrelation length in air-sea fluxes is much shorter than forpCO2 (200 ± 150 km) due to the high variability of the gas transfer velocity.
    Keywords: SOCAT; Surface Ocean CO2 Atlas Project
    Type: Dataset
    Format: application/zip, 22.5 kBytes
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  • 6
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    Data and Code archive for the interpolation of surface ocean carbon dioxide (2015)
    PANGAEA
    In:  Supplement to: Jones, Steve D; Le Quéré, Corinne; Rödenbeck, Christian; Manning, Andrew C; Olsen, Are (2015): A statistical gap-filling method to interpolate global monthly surface ocean carbon dioxide data. Journal of Advances in Modeling Earth Systems, 7(4), 1554-1575, https://doi.org/10.1002/2014MS000416
    Details
    Publication Date: 2023-06-10
    Description: We have developed a statistical gap-filling method adapted to the specific coverage and properties of observed fugacity of surface ocean CO2 (fCO2). We have used this method to interpolate the Surface Ocean CO2 Atlas (SOCAT) v2 database on a 2.5°×2.5° global grid (south of 70°N) for 1985-2011 at monthly resolution. The method combines a spatial interpolation based on a 'radius of influence' to determine nearby similar fCO2 values with temporal harmonic and cubic spline curve-fitting, and also fits long term trends and seasonal cycles. Interannual variability is established using deviations of observations from the fitted trends and seasonal cycles. An uncertainty is computed for all interpolated values based on the spatial and temporal range of the interpolation. Tests of the method using model data show that it performs as well as or better than previous regional interpolation methods, but in addition it provides a near-global and interannual coverage.
    Keywords: File content; File name; File size; SOCAT; Surface Ocean CO2 Atlas Project; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
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  • 7
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    Update to the Data and Code archive for the interpolation of surface ocean carbon dioxide (2019)
    PANGAEA
    Details
    Publication Date: 2023-06-10
    Description: We have developed a statistical gap-filling method adapted to the specific coverage and properties of observed fugacity of surface ocean CO2 (fCO2). We have used this method to interpolate the Surface Ocean CO2 Atlas (SOCAT) v2 database on a 2.5°×2.5° global grid for 1985-2017 at monthly resolution. The method combines a spatial interpolation based on a 'radius of influence' to determine nearby similar fCO2 values with temporal harmonic and cubic spline curve-fitting, and also fits long term trends and seasonal cycles. Interannual variability is established using deviations of observations from the fitted trends and seasonal cycles. An uncertainty is computed for all interpolated values based on the spatial and temporal range of the interpolation. Tests of the method using model data show that it performs as well as or better than previous regional interpolation methods, but in addition it provides a near-global and interannual coverage.
    Keywords: File content; File name; File size; SOCAT; Surface Ocean CO2 Atlas Project; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
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  • 8
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    Surface Ocean CO2 Atlas (SOCAT) V2 (2014)
    PANGAEA
    In:  Supplement to: Bakker, Dorothee C E; Pfeil, Benjamin; Smith, Karl; Hankin, Steven; Olsen, Are; Alin, Simone R; Cosca, Catherine E; Harasawa, Sumiko; Kozyr, Alexander; Nojiri, Yukihiro; O'Brien, Kevin M; Schuster, Ute; Telszewski, Maciej; Tilbrook, Bronte; Wada, Chisato; Akl, John; Barbero, Leticia; Bates, Nicolas R; Boutin, Jacqueline; Bozec, Yann; Cai, Wei-Jun; Castle, Robert D; Chavez, Francisco P; Chen, Lei; Chierici, Melissa; Currie, Kim I; de Baar, Hein J W; Evans, Wiley; Feely, Richard A; Fransson, Agneta; Gao, Zhongyong; Hales, Burke; Hardman-Mountford, Nicolas J; Hoppema, Mario; Huang, Wei-Jen; Hunt, Christopher W; Huss, Betty; Ichikawa, Tadafumi; Johannessen, Truls; Jones, Elizabeth M; Jones, Steve D; Jutterstrøm, Sara; Kitidis, Vassilis; Körtzinger, Arne; Landschützer, Peter; Lauvset, Siv K; Lefèvre, Nathalie; Manke, Ansley; Mathis, Jeremy T; Merlivat, Liliane; Metzl, Nicolas; Murata, Akihiko; Newberger, Timothy; Omar, Abdirahman M; Ono, Tsuneo; Park, Geun-Ha; Paterson, Kristina; Pierrot, Denis; Ríos, Aida F; Sabine, Christopher L; Saito, Shu; Salisbury, Joe; Sarma, Vedula V S S; Schlitzer, Reiner; Sieger, Rainer; Skjelvan, Ingunn; Steinhoff, Tobias; Sullivan, Kevin; Sun, Heng; Sutton, Adrienne; Suzuki, Toru; Sweeney, Colm; Takahashi, Taro; Tjiputra, Jerry; Tsurushima, Nobuo; van Heuven, Steven; Vandemark, Doug; Vlahos, Penny; Wallace, Douglas WR; Wanninkhof, Rik; Watson, Andrew J (2014): An update to the Surface Ocean CO2 Atlas (SOCAT version 2). Earth System Science Data, 6(1), 69-90, https://doi.org/10.5194/essd-6-69-2014
    Details
    Publication Date: 2024-02-17
    Description: 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.
    Keywords: SOCAT; Surface Ocean CO2 Atlas Project
    Type: Dataset
    Format: application/zip, 2669 datasets
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  • 9
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    Surface Ocean CO2 Atlas (SOCAT) V3 (2016)
    PANGAEA
    In:  Supplement to: Bakker, Dorothee C E; Pfeil, Benjamin; Landa, Camilla S; Metzl, Nicolas; O'Brien, Kevin M; Olsen, Are; Smith, Karl; Cosca, Catherine E; Harasawa, Sumiko; Jones, Steve D; Nakaoka, Shin-Ichiro; Nojiri, Yukihiro; Schuster, Ute; Steinhoff, Tobias; Sweeney, Colm; Takahashi, Taro; Tilbrook, Bronte; Wada, Chisato; Wanninkhof, Rik; Alin, Simone R; Balestrini, Carlos F; Barbero, Leticia; Bates, Nicolas R; Bianchi, Alejandro A; Bonou, Frédéric Kpédonou; Boutin, Jacqueline; Bozec, Yann; Burger, Eugene; Cai, Wei-Jun; Castle, Robert D; Chen, Liqi; Chierici, Melissa; Currie, Kim I; Evans, Wiley; Featherstone, Charles; Feely, Richard A; Fransson, Agneta; Goyet, Catherine; Greenwood, Naomi; Gregor, Luke; Hankin, Steven; Hardman-Mountford, Nicolas J; Harlay, Jérôme; Hauck, Judith; Hoppema, Mario; Humphreys, Matthew P; Hunt, Christopher W; Huss, Betty; Ibánhez, J Severino P; Johannessen, Truls; Keeling, Ralph F; Kitidis, Vassilis; Körtzinger, Arne; Kozyr, Alexander; Krasakopoulou, Evangelia; Kuwata, Akira; Landschützer, Peter; Lauvset, Siv K; Lefèvre, Nathalie; Lo Monaco, Claire; Manke, Ansley; Mathis, Jeremy T; Merlivat, Liliane; Millero, Frank J; Monteiro, Pedro M S; Munro, David R; Murata, Akihiko; Newberger, Timothy; Omar, Abdirahman M; Ono, Tsuneo; Paterson, Kristina; Pearce, David J; Pierrot, Denis; Robbins, Lisa L; Saito, Shu; Salisbury, Joe; Schlitzer, Reiner; Schneider, Bernd; Schweitzer, Roland; Sieger, Rainer; Skjelvan, Ingunn; Sullivan, Kevin; Sutherland, Stewart C; Sutton, Adrienne; Tadokoro, Kazuaki; Telszewski, Maciej; Tuma, Matthias; van Heuven, Steven; Vandemark, Doug; Ward, Brian; Watson, Andrew J; Xu, Suqing (2016): A multi-decade record of high-quality fCO2 data in version 3 of the Surface Ocean CO2 Atlas (SOCAT). Earth System Science Data, 8(2), 383-413, https://doi.org/10.5194/essd-8-383-2016
    Details
    Publication Date: 2024-02-17
    Description: 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 14.5 million fCO2 values from 3646 data sets covering the years 1957 to 2014. This latest version has an additional 4.4 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 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 living data publication documents changes in the methods and data sets used in this new version of the SOCAT data collection compared with previous publications of this data collection (Pfeil et al., 2013; Sabine et al., 2013; Bakker et al., 2014).
    Keywords: SOCAT; Surface Ocean CO2 Atlas Project
    Type: Dataset
    Format: application/zip, 3657 datasets
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  • 10
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    Surface Ocean CO2 Atlas (SOCAT) V4 (2016)
    PANGAEA
    Details
    Publication Date: 2024-02-17
    Description: The Surface Ocean CO2 Atlas (SOCAT) is a synthesis activity by the international marine carbon research community (〉100 contributors). SOCAT version 4 has 18.5 million quality-controlled, surface ocean fCO2 (fugacity of carbon dioxide) observations with an accuracy of better than 5 µatm from 1957 to 2015 for the global oceans and coastal seas. Automation of data upload and initial data checks speeds up data submission and allows annual releases of SOCAT from version 4 onwards. SOCAT enables quantification of the ocean carbon sink and ocean acidification and evaluation of ocean biogeochemical models. SOCAT represents a milestone in research coordination, data access, biogeochemical and climate research and in informing policy.
    Keywords: SOCAT; Surface Ocean CO2 Atlas Project
    Type: Dataset
    Format: application/zip, 1265 datasets
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