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  • 1
    facet.materialart.
    Unknown
    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
    Publication Date: 2024-05-02
    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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  • 2
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Pfeil, Benjamin; Olsen, Are; Bakker, Dorothee C E; Hankin, Steven; Koyuk, Heather; Kozyr, Alexander; Malczyk, Jeremy; Manke, Ansley; Metzl, Nicolas; Sabine, Christopher L; Akl, John; Alin, Simone R; Bellerby, Richard G J; Borges, Alberto Vieira; Boutin, Jacqueline; Brown, Peter J; Cai, Wei-Jun; Chavez, Francisco P; Chen, Arthur; Cosca, Catherine E; Fassbender, Andrea J; Feely, Richard A; González-Dávila, Melchor; Goyet, Catherine; Hardman-Mountford, Nicolas J; Heinze, Christoph; Hood, E Maria; Hoppema, Mario; Hunt, Christopher W; Hydes, David; Ishii, Masao; Johannessen, Truls; Jones, Steve D; Key, Robert M; Körtzinger, Arne; Landschützer, Peter; Lauvset, Siv K; Lefèvre, Nathalie; Lenton, Andrew; Lourantou, Anna; Merlivat, Liliane; Midorikawa, Takashi; Mintrop, Ludger J; Miyazaki, Chihiro; Murata, Akihiko; Nakadate, Akira; Nakano, Yoshiyuki; Nakaoka, Shin-Ichiro; Nojiri, Yukihiro; Omar, Abdirahman M; Padín, Xose Antonio; Park, Geun-Ha; Paterson, Kristina; Pérez, Fiz F; Pierrot, Denis; Poisson, Alain; Ríos, Aida F; Santana-Casiano, Juana Magdalena; Salisbury, Joe; Sarma, Vedula V S S; Schlitzer, Reiner; Schneider, Bernd; Schuster, Ute; Sieger, Rainer; Skjelvan, Ingunn; Steinhoff, Tobias; Suzuki, Toru; Takahashi, Taro; Tedesco, Kathy; Telszewski, Maciej; Thomas, Helmuth; Tilbrook, Bronte; Tjiputra, Jerry; Vandemark, Doug; Veness, Tony; Wanninkhof, Rik; Watson, Andrew J; Weiss, Ray F; Wong, Chi Shing; Yoshikawa-Inoue, Hisayuki (2013): A uniform, quality controlled Surface Ocean CO2 Atlas (SOCAT). Earth System Science Data, 5(1), 125-143, https://doi.org/10.5194/essd-5-125-2013
    Publication Date: 2024-05-02
    Description: 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.
    Keywords: 0306SFC_PRT; 061ASFC_PRT; 06AQ19860627-track; 06AQ19860928-track; 06AQ19911114-track; 06AQ19911210-track; 06AQ19921005-track; 06AQ19930128-track; 06AQ19930228-track; 06AQ19931019-track; 06AQ19940524-track; 06AQ19951206-track; 06AQ19960320-track; 06AQ19980411-track; 06AQ19990327-track; 06AQ20001004-track; 06AQ20001026-track; 06BE19961010-track; 06CK20060523-track; 06CK20060715-track; 06CK20060821-track; 06GA19960613-track; 06GA276_3; 06LB19831130-track; 06LB19840107-track; 06LB19840629-track; 06LB19850110-track; 06LB19850313-track; 06LB19850812-track; 06LB19860116-track; 06LB19860323-track; 06LB19860801-track; 06LB19861011-track; 06LB19861214-track; 06LB19870221-track; 06LB19870501-track; 06LB19870721-track; 06LB19870920-track; 06LB19871126-track; 06LB19871231-track; 06LB19880204-track; 06MT18_1; 06MT19910903-track; 06MT19920510-track; 06MT19921229-track; 06MT19941012-track; 06MT19941119-track; 06MT19950714-track; 06MT19960607-track; 06MT19960622-track; 06MT19970106-track; 06MT19970516-track; 06MT19970707-track; 06MT19970814-track; 06MT19981228-track; 06MT20021015-track; 06MT20060714; 06MT20060714-track; 06MT22_5; 06MT30_2; 06MT30_3; 06MT37_2; 06MT39_4; 06MT39_5; 06P119910616-track; 06P119950901-track; 06PO20050321; 06PO20050322-track; 07AL19951011-track; 07AL19960218-track; 07AL19970503-track; 07AL19990718-track; 07AL19991101-track; 07AL19991129-track; 07AL20000113-track; 07AL20000210-track; 07AL20000305-track; 07AL20010513-track; 07AL20010607-track; 07AL20010709-track; 07AL20010802-track; 09AR0103; 09AR19910926-track; 09AR19921019-track; 09AR19930105-track; 09AR19930311-track; 09AR19930807-track; 09AR19931119-track; 09AR19940101-track; 09AR19940831-track; 09AR19941213-track; 09AR19950717-track; 09AR19950916-track; 09AR19960119-track; 09AR19960822-track; 09AR19970910-track; 09AR19971114-track; 09AR19980228-track; 09AR19980404-track; 09AR19980715-track; 09AR19990716-track; 09AR20011031-track; 09AR9401; 09AR9404; 09AR9407; 09AR9501; 09AR9502; 09AR9601; 09AR9604; 09AR9701; 09AR9703; 09AR9707; 09AR9801; 09AR9806; 09AR9901; 09FA20000927-track; 09SS19951116-track; 09SS19990205-track; 11BE19940413-track; 11BE19950303-track; 11BE19950912-track; 11BE19970513-track; 11BE19970527-track; 11BE19970609-track; 11BE19970618-track; 11BE19970621; 11BE19970621-track; 11BE19970702-track; 11BE19980107-track; 11BE19980614-track; 11BE19980625-track; 11BE19980710-track; 11BE19990830-track; 11BE19990904-track; 11BE19990914-track; 11BE19990918-track; 11BE20010502-track; 11BE20010514-track; 11BE20010522-track; 11BE20020422-track; 11BE20020511-track; 11BE20020528-track; 11BE20021104-track; 11BE20030331-track; 11BE20030901; 11BE20030901-track; 11BE20031027; 11BE20031027-track; 11BE20031208; 11BE20031208-track; 11BE20040223; 11BE20040223-track; 11BE20040329; 11BE20040329-track; 11BE20040524; 11BE20040524-track; 11BE20040601-track; 11BE20041004; 11BE20041004-track; 11BE20060425; 11BE20060425-track; 11BE20060529-track; 11BE20070507-track; 18QA19730812-track; 18QA19731028-track; 18QA19760111-track; 18QA19760619-track; 18QA19760911-track; 18QA19761204-track; 18VC19740105-track; 18VC19740216-track; 18VC19741113-track; 18VC19750622-track; 18VC19750913-track; 1995-10-BS; 1996-02-BS; 1997-05-BS; 1999-07-BS; 1999-11-BS; 1999-12-BS; 2000-01-BS; 2000-02-BS; 2000-03-BS; 2001-05-BS; 2001-06-BS; 2001-07-BS; 2001-08-BS; 2003-06-BS; 2003-07-BS; 2003-08-BS; 2003-09-BS; 2003-10-BS; 2004-02-BS; 2004-03-BS; 2004-04-BS; 2004-05-BS; 2004-06-BS; 2004-07-BS; 2004-08-BS; 2004-09-BS; 2004-10-BS; 2005-01-BS; 2005-02-BS; 2005-03-BS; 2005-04-BS; 2005-05-BS; 2005-06-BS; 2005-07-BS; 2005-08-BS; 2005-09-BS; 2005-10-BS; 2005-11-BS; 2005-12-BS; 2006-03-BS; 2006-04-BS; 2006-05-BS; 2006-06-BS; 2006-07-BS; 2006-08-BS; 2006-09-BS; 20070110_TC2; 20070117_TC2; 20070123_TC2; 20070130_TC2; 20070207_TC2; 20070219_TC2; 20070227_TC2; 20070305_TC2; 20070320_TC2; 20070327_TC2; 20070402_TC2; 20070409_TC2; 20070416_TC2; 20070423_TC2; 20070430_TC2; 20070508_TC2; 20070515_TC2; 20070521_TC2; 20070529_TC2; 20070604_TC2; 20070613_TC2; 20070620_TC2; 20070627_TC2; 20070703_TC2; 20070709_TC2; 20070716_TC2; 20070723_TC2; 20070730_TC2; 2007-07-BS; 20070806_TC2; 20070815_TC2; 20070820_TC2; 20070827_TC2; 2007-08-BS; 20070903_TC2; 20070910_TC2; 20070917_TC2; 20071001_TC2; 20071008_TC2; 20071010_TC2; 20071015_TC2; 20071023_TC2; 20071105_TC2; 20071115_TC2; 20071120_TC2; 20071128_TC2; 20071204_TC2; 20071211_TC2; 20071218_TC2; 20071225_TC2; 24N98L1; 24N98L2; 26GC20010421-track; 26GC20010831-track; 26NA20050107; 26NA20050107-track; 26NA20050115; 26NA20050115-track; 26NA20050130; 26NA20050130-track; 26NA20050207; 26NA20050207-track; 26NA20050317; 26NA20050317-track; 26NA20050321; 26NA20050321-track; 26NA20050402; 26NA20050402-track; 26NA20050420; 26NA20050420-track; 26NA20050502; 26NA20050502-track; 26NA20050511; 26NA20050511-track; 26NA20050523; 26NA20050523-track; 26NA20050531; 26NA20050531-track; 26NA20050614; 26NA20050614-track; 26NA20050624; 26NA20050624-track; 26NA20050714; 26NA20050714-track; 26NA20050720; 26NA20050720-track; 26NA20050730; 26NA20050730-track; 26NA20050805; 26NA20050805-track; 26NA20050815; 26NA20050815-track; 26NA20050824; 26NA20050824-track; 26NA20050914; 26NA20050914-track; 26NA20050927; 26NA20050927-track; 26NA20051005; 26NA20051005-track; 26NA20051018; 26NA20051018-track; 26NA20051026; 26NA20051026-track; 26NA20051110; 26NA20051110-track; 26NA20051117; 26NA20051117-track; 26NA20051130; 26NA20051130-track; 26NA20060518; 26NA20060518-track; 26NA20060527; 26NA20060527-track; 26NA20060607; 26NA20060607-track; 26NA20060617; 26NA20060617-track; 26NA20060628; 26NA20060628-track; 26NA20060708; 26NA20060708-track; 26NA20060719; 26NA20060719-track; 26NA20060728; 26NA20060728-track; 26NA20060809; 26NA20060809-track; 26NA20060818; 26NA20060818-track; 26NA20060830; 26NA20060830-track; 26NA20060908; 26NA20060908-track; 26NA20060920; 26NA20060920-track; 26NA20061011; 26NA20061011-track; 26NA20061021; 26NA20061021-track; 26NA20061128; 26NA20061128-track; 26NA20061202; 26NA20061202-track; 26NA20061214; 26NA20061214-track; 26NA20061225; 26NA20061225-track; 26NA20070103; 26NA20070103-track; 26NA20070112; 26NA20070112-track; 26NA20070125; 26NA20070125-track; 26NA20070205; 26NA20070205-track; 26NA20070216; 26NA20070216-track; 26NA20070323; 26NA20070323-track; 26NA20070329; 26NA20070329-track; 26NA20070410; 26NA20070410-track; 26NA20070418; 26NA20070418-track; 26NA20070427; 26NA20070427-track; 26NA20070509; 26NA20070509-track; 26NA20070518; 26NA20070518-track; 26NA20070530; 26NA20070530-track; 26NA20070610; 26NA20070610-track; 26NA20070622; 26NA20070622-track; 26NA20070701; 26NA20070701-track; 26NA20070712; 26NA20070712-track; 26NA20070721; 26NA20070721-track; 26NA20070802; 26NA20070802-track; 26NA20070811; 26NA20070811-track; 26NA20070901; 26NA20070901-track; 26NA20070912; 26NA20070912-track; 26NA20070923; 26NA20070923-track; 26NA20071003; 26NA20071003-track; 26NA20071014; 26NA20071014-track; 26NA20071024; 26NA20071024-track; 26NA20071103; 26NA20071103-track; 26NA20071114; 26NA20071114-track; 26NA20071124; 26NA20071124-track; 29HE050; 29HE19980729-track; 29HE20001028; 29HE20001028-track; 29HE20010306; 29HE20010306-track; 29HE20011027; 29HE20011027-track; 29HE20020305; 29HE20020305-track; 29HE20021028; 29HE20021028-track; 29HE20030409; 29HE20030409-track; 29HE20041021; 29HE20041021-track; 316N0154; 316N19810401-track; 316N19810416-track; 316N19810516-track; 316N19810619-track; 316N19810721-track; 316N19810821-track; 316N19810923-track; 316N19821202-track; 316N19821230-track; 316N19830130-track; 316N19831007-track; 316N19840111-track; 316N19871030-track; 316N19871123-track; 316N19871218-track; 316N19880128-track; 316N19940404-track; 316N19941201-track; 316N19950124-track; 316N19950310-track; 316N19950423-track; 316N19950611-track; 316N19950715-track; 316N19950829-track; 316N19951111-track; 316N19951205-track; 316N19961102-track; 316N19971005-track; 318M19780921-track; 318M19780928-track; 318M19790210-track; 318M19790308-track;
    Type: Dataset
    Format: application/zip, 1851 datasets
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  • 3
    Publication Date: 2021-01-04
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 4
    Publication Date: 2021-08-10
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , notRev
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  • 5
    Publication Date: 2019-09-30
    Description: The Global Ocean Data Analysis Project (GLODAP) is a synthesis effort providing regular compilations of surface to bottom ocean biogeochemical data, with an emphasis on seawater inorganic carbon chemistry and related variables determined through chemical analysis of water samples. This update of GLODAPv2, v2.2019, adds data from 116 cruises to the previous version, extending its coverage in time from 2013 to 2017, while also adding some data from prior years. GLODAPv2.2019 includes measurements from more than 1.1 million water samples from the global oceans collected on 840 cruises. The data for the 12 GLODAP core variables (salinity, oxygen, nitrate, silicate, phosphate, dissolved inorganic carbon, total alkalinity, pH, CFC-11, CFC-12, CFC-113, and CCl4) have undergone extensive quality control, especially systematic evaluation of bias. The data are available in two formats: (i) as submitted by the data originator but updated to WOCE exchange format and (ii) as a merged data product with adjustments applied to minimize bias. These adjustments were derived by comparing the data from the 116 new cruises with the data from the 724 quality-controlled cruises of the GLODAPv2 data product. They correct for errors related to measurement, calibration, and data handling practices, taking into account any known or likely time trends or variations. The compiled and adjusted data product is believed to be consistent to better than 0.005 in salinity, 1 % in oxygen, 2 % in nitrate, 2 % in silicate, 2 % in phosphate, 4 µmol kg−1 in dissolved inorganic carbon, 4 µmol kg−1 in total alkalinity, 0.01–0.02 in pH, and 5 % in the halogenated transient tracers. The compilation also includes data for several other variables, such as isotopic tracers. These were not subjected to bias comparison or adjustments. The original data, their documentation and DOI codes are available in the Ocean Carbon Data System of NOAA NCEI (https://www.nodc.noaa.gov/ocads/oceans/GLODAPv2_2019/, last access: 17 September 2019). This site also provides access to the merged data product, which is provided as a single global file and as four regional ones – the Arctic, Atlantic, Indian, and Pacific oceans – under https://doi.org/10.25921/xnme-wr20 (Olsen et al., 2019). The product files also include significant ancillary and approximated data. These were obtained by interpolation of, or calculation from, measured data. This paper documents the GLODAPv2.2019 methods and provides a broad overview of the secondary quality control procedures and results.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 6
    Publication Date: 2021-12-21
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev , info:eu-repo/semantics/article
    Format: application/pdf
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  • 7
    facet.materialart.
    Unknown
    Earth System Science Data
    In:  EPIC3GLODAPv2.2022: the latest version of the global interior ocean biogeochemical data product, Earth System Science Data Discuss. [preprint], Earth System Science Data, ISSN: 1866-3508
    Publication Date: 2022-09-28
    Description: The Global Ocean Data Analysis Project (GLODAP) is a synthesis effort providing regular compilations of surface-to-bottom ocean biogeochemical bottle data, with an emphasis on seawater inorganic carbon chemistry and related variables determined through chemical analysis of seawater samples. GLODAPv2.2022 is an update of the previous version, GLODAPv2.2021 (Lauvset et al., 2021). The major changes are as follows: data from 96 new cruises were added, data coverage was extended until 2021, and for the first time we performed secondary quality control on all sulphur hexafluoride (SF6) data. In addition, a number of changes were made to data included in GLODAPv2.2021. These changes affect specifically the SF6 data, which are now subjected to secondary quality control, and carbon data measured onboard the RV Knorr in the Indian Ocean in 1994–1995 which are now adjusted using CRM measurements made at the time. GLODAPv2.2022 includes measurements from almost 1.4 million water samples from the global oceans collected on 1085 cruises. The data for the now 13 GLODAP core variables (salinity, oxygen, nitrate, silicate, phosphate, dissolved inorganic carbon, total alkalinity, pH, CFC-11, CFC-12, CFC-113, CCl4, and SF6) have undergone extensive quality control with a focus on systematic evaluation of bias. The data are available in two formats: (i) as submitted by the data originator but converted to World Ocean Circulation Experiment (WOCE) exchange format and (ii) as a merged data product with adjustments applied to minimize bias. For the present annual update, adjustments for the 96 new cruises were derived by comparing those data with the data from the 989 quality controlled cruises in the GLODAPv2.2021 data product using crossover analysis. SF6 data from all cruises were evaluated by comparison with CFC-12 data measured on the same cruises. For nutrients and ocean carbon dioxide (CO2) chemistry comparisons to estimates based on empirical algorithms provided additional context for adjustment decisions. The adjustments that we applied are intended to remove potential biases from errors related to measurement, calibration, and data handling practices without removing known or likely time trends or variations in the variables evaluated. The compiled and adjusted data product is believed to be consistent to better than 0.005 in salinity, 1 % in oxygen, 2 % in nitrate, 2 % in silicate, 2 % in phosphate, 4 μmol kg-1 in dissolved inorganic carbon, 4 μmol kg-1 in total alkalinity, 0.01–0.02 in pH (depending on region), and 5 % in the halogenated transient tracers. The other variables included in the compilation, such as isotopic tracers and discrete CO2 fugacity (fCO2), were not subjected to bias comparison or adjustments.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , notRev
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  • 8
    Publication Date: 2024-01-04
    Description: The historical archive of global ocean subsurface temperature contains a large proportion of poorly quality-controlled as well as biased data. As a result, efforts to analyze past ocean change and variability are confounded, as is the use of ocean data assimilation systems. Currently many data centers perform automated ‘quick and dirty QC’ – redoing the same job poorly many times around the world. There have been no previous efforts to form a clean and definitive and very much needed historical archive. No single group has the manpower and resources to do the job properly – thus international cooperation is needed. The IQuOD 4th Workshop goals are to: Provide updates on recent IQuOD activities, particularly SCOR WG 148 and IOC/IODE; progress on the development and implementation of intelligent metadata, uncertainty estimates, duplicates flagging and the platform for AutoQC benchmarking tests; plans for next steps for the task teams; discussion on capacity building; establishing synergies between IQuOD and the XBT Science Team.
    Description: Published
    Description: Non Refereed
    Keywords: ASFA_2015::O::Oceanographic instruments ; ASFA_2015::I::In situ temperature ; ASFA_2015::T::Temperature profiles ; ASFA_2015::Q::Quality control ; ASFA_2015::S::Subsurface water ; ASFA_2015::C::Conductivity-temperature-depth observations ; ASFA_2015::S::Salinity profiles ; ASFA_2015::X::XBTs ; ASFA_2015::M::Mechanical bathythermographs
    Repository Name: AquaDocs
    Type: Book/Monograph/Conference Proceedings
    Format: 36pp.
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  • 9
    ISSN: 1540-8167
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Notes: Electroporation in a Model of Cardiac Defibrillation. Introduction: It is known that highstrength shock disrupts the lipid matrix of the myocardial cell membrane and forms reversible aqueous pores across the membrane. This process is known as “electroporation.” However, it remains unclear whether electroporation contributes to the mechanism of ventricular defibrillation. The aim of this computer simulation study was to examine the possible role of electroporation in the success of defibrillation shock. Methods and Results: Using a modified Luo-Rudy-1 model, we simulated two-dimensional myocardial tissue with a homogeneous bidomain nature and unequal anisotropy ratios. Spiral waves were induced by the S1-S2 method. Next, monophasic defibrillation shocks were delivered externally via two line electrodes. For nonelectroporating tissue, termination of ongoing fibrillation succeeded; however, new spiral waves were initiated, even with high-strength shock (24 V/cm). For electroporating tissue, high-strength shock (24 V/cm) was sufficient to extinguish ongoing fibrillation and did not initiate any new spiral waves. Weak shock (16 to 20 V/cm) also extinguished ongoing fibrillation; however, in contrast to the highstrength shock, new spiral waves were initiated. Success in defibrillation depended on the occurrence of electroporation-mediated anodal-break excitation from the physical anode and the virtual anode. Some excitation wavefronts following electrical shock used a deexcited area with recovered excitability as a pass-through point; therefore, electroporation-mediated anodal-break excitation is necessary to block out the pass-through point, resulting in successful defibrillation. Conclusion: The electroporation-mediated anodal-break excitation mechanism may play an important role in electrical defibrillation.
    Type of Medium: Electronic Resource
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  • 10
    ISSN: 1520-510X
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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