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  • 010502 geochemistry & geophysics
  • 010506 paleontology
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  • Authors: Efrosinin, Dmitry; Breitenberger, Sandra; Hofmann, Nicole; Auer, Wolfgang;

    Segmentation or change point detection is a very common topic in time series analysis, anomaly detection and pattern recognition. In our previous paper the time series generated by sensors with 3D accelerometers were analysed. It was noticed that such series consist of segments of independent and correlated observations. Hence the appropriate methods for change point detection for both data types must be implemented simultaneously.This paper provides an auxiliary comparison analysis which we intend to implement later for the above mentioned acceleration data.The available methods require usually a long execution time, so that it is time-consuming if several methods should be compared. In the framework of the present publication we want to give additional help for detecting a suitable change point detection method and for finding a good parameter setting. Our analysis is performed on simulated time series, that are normally distributed with constant but unknown mean and changes in variance.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Förste, Christoph; Bruinsma, Sean; Abrikosov, Oleh; Rudenko, Sergiy; +4 Authors

    EIGEN-6S4 is satelite-only global gravity field model from the combination of LAGEOS, GRACE and GOCE data. All spherical harmonic coefficients up to degree/order 80 are time variable. Their time variable parameters consist of drifts as well as annual and semi-annual variations per year. The time series of the time variable spherical harmonic coefficients are based on the GRACE-LAGEOS monthly gravity fields RL03-v1 (2003.0-2013.0) from GRGS/Toulouse (Bruinsma et al. 2009).The herein included GRACE data were combined with all GOCE data which have been processed via the direct numerical approach (Pail et al. 2011). The polar gap instabilty has been overcome using the Sperical Cap Regularization (Metzler and Pail 2005). That means this model is a combination of LAGEOS/GRACE with GO_CONS_GCF_2_DIR_R5 (Bruinsma et al. 2013). We recommmend to use the updated version of this dataset (Förste et al. 2016, http://doi.org/10.5880/icgem.2016.008). that contains an improved modelling of the time variable part, in particular for C20. Input Data:- LAGEOS (deg. 2 - 30): 1985 - 2014- GRACE RL03 GRGS (deg. 2 - 130): 12 years 200208 - 201407- GOCE-SGG data, processed by the direct approach (Pail et al. 2011, Bruinsma et al. 2014, to degree and order 300) incl. the gravity gradient components Txx, Tyy, Tzz and Txz out of the following time spans: 837 days out of the nominal mission time span 20091101 - 20120801 and 422 days out of the lower orbit phase between 20120801 - 20131020. The GOCE polar gaps were stabilized by the Spherical Cap Regularization (Metzler and Pail 2005) using an internal LAGEOS/GRACE solution to degree/order 130 + zero coefficients to degree/order 300

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ICGEMarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ICGEM
    Dataset . 2016
    Data sources: B2FIND
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ICGEM
    Dataset . 2016
    Data sources: B2FIND
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ICGEMarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ICGEM
      Dataset . 2016
      Data sources: B2FIND
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ICGEM
      Dataset . 2016
      Data sources: B2FIND
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  • Authors: Medieval Settlement Research Group;

    The MSRG's journal, Medieval Settlement Research (MSR), is published each year in the autumn. The journal is an internationally recognised publication, containing peer-reviewed research papers, fieldwork reports and news, reviews and an annual bibliography. Although the Group's interests are concentrated on British and Irish medieval landscapes between the 5th and 16th centuries AD, it actively encourages wider chronological and pan-European perspectives. Medieval Settlement Research therefore welcomes papers on Britain, Ireland and Europe that help us to improve our understanding of medieval settlements and landscapes from the level of individual sites to the international scale.

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  • Authors: Compo, G. P.; Whitaker, J. S.; Sardeshmukh, P. D.; Matsui, N.; +23 Authors

    The International Surface Pressure Databank (ISPD; Cram et al. 2015) [http://reanalyses.org/observations/international-surface-pressure-databank] is the world's largest collection of pressure observations. It has been gathered through international cooperation with data recovery facilitated by the ACRE Initiative and the other contributing organizations and assembled under the auspices of the GCOS Working Group on Surface Pressure and the WCRP/GCOS Working Group on Observational Data Sets for Reanalysis by NOAA Earth System Research Laboratory (ESRL), NOAA's National Climatic Data Center (NCDC), and the Climate Diagnostics Center (CDC) of the University of Colorado's Cooperative Institute for Research in Environmental Sciences (CIRES). The ISPDv2 consists of three components: station, marine, and tropical cyclone best track pressure observations. The station component is a blend of many national and international collections. NOTE: A newer version of this dataset, the International Surface Pressure Databank version 3, is available in RDA dataset ds132.1 [http://rda.ucar.edu/datasets/ds132.1/]. Users are recommended to access this updated dataset. The Twentieth Century Reanalysis Project used resources of the National Energy Research Scientific Computing Center [http://www.nersc.gov/] and of the Oak Ridge Leadership Computing Facility [http://www.olcf.ornl.gov/] at Oak Ridge National Laboratory, which are supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 and Contract No. DE-AC05-00OR22725, respectively.

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  • Authors: Efrosinin, Dmitry; Breitenberger, Sandra; Hofmann, Nicole; Auer, Wolfgang;

    Segmentation or change point detection is a very common topic in time series analysis, anomaly detection and pattern recognition. In our previous paper the time series generated by sensors with 3D accelerometers were analysed. It was noticed that such series consist of segments of independent and correlated observations. Hence the appropriate methods for change point detection for both data types must be implemented simultaneously.This paper provides an auxiliary comparison analysis which we intend to implement later for the above mentioned acceleration data.The available methods require usually a long execution time, so that it is time-consuming if several methods should be compared. In the framework of the present publication we want to give additional help for detecting a suitable change point detection method and for finding a good parameter setting. Our analysis is performed on simulated time series, that are normally distributed with constant but unknown mean and changes in variance.

    addClaim

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Förste, Christoph; Bruinsma, Sean; Abrikosov, Oleh; Rudenko, Sergiy; +4 Authors

    EIGEN-6S4 is satelite-only global gravity field model from the combination of LAGEOS, GRACE and GOCE data. All spherical harmonic coefficients up to degree/order 80 are time variable. Their time variable parameters consist of drifts as well as annual and semi-annual variations per year. The time series of the time variable spherical harmonic coefficients are based on the GRACE-LAGEOS monthly gravity fields RL03-v1 (2003.0-2013.0) from GRGS/Toulouse (Bruinsma et al. 2009).The herein included GRACE data were combined with all GOCE data which have been processed via the direct numerical approach (Pail et al. 2011). The polar gap instabilty has been overcome using the Sperical Cap Regularization (Metzler and Pail 2005). That means this model is a combination of LAGEOS/GRACE with GO_CONS_GCF_2_DIR_R5 (Bruinsma et al. 2013). We recommmend to use the updated version of this dataset (Förste et al. 2016, http://doi.org/10.5880/icgem.2016.008). that contains an improved modelling of the time variable part, in particular for C20. Input Data:- LAGEOS (deg. 2 - 30): 1985 - 2014- GRACE RL03 GRGS (deg. 2 - 130): 12 years 200208 - 201407- GOCE-SGG data, processed by the direct approach (Pail et al. 2011, Bruinsma et al. 2014, to degree and order 300) incl. the gravity gradient components Txx, Tyy, Tzz and Txz out of the following time spans: 837 days out of the nominal mission time span 20091101 - 20120801 and 422 days out of the lower orbit phase between 20120801 - 20131020. The GOCE polar gaps were stabilized by the Spherical Cap Regularization (Metzler and Pail 2005) using an internal LAGEOS/GRACE solution to degree/order 130 + zero coefficients to degree/order 300

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ICGEMarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ICGEM
    Dataset . 2016
    Data sources: B2FIND
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ICGEM
    Dataset . 2016
    Data sources: B2FIND
    addClaim

    This Research product is the result of merged Research products in OpenAIRE.

    You have already added works in your ORCID record related to the merged Research product.
    28
    citations28
    popularityTop 10%
    influenceTop 10%
    impulseTop 10%
    BIP!Powered by BIP!
    more_vert
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ICGEMarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ICGEM
      Dataset . 2016
      Data sources: B2FIND
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ICGEM
      Dataset . 2016
      Data sources: B2FIND
      addClaim

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  • Authors: Medieval Settlement Research Group;

    The MSRG's journal, Medieval Settlement Research (MSR), is published each year in the autumn. The journal is an internationally recognised publication, containing peer-reviewed research papers, fieldwork reports and news, reviews and an annual bibliography. Although the Group's interests are concentrated on British and Irish medieval landscapes between the 5th and 16th centuries AD, it actively encourages wider chronological and pan-European perspectives. Medieval Settlement Research therefore welcomes papers on Britain, Ireland and Europe that help us to improve our understanding of medieval settlements and landscapes from the level of individual sites to the international scale.

    addClaim

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    10
    citations10
    popularityTop 10%
    influenceAverage
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  • Authors: Compo, G. P.; Whitaker, J. S.; Sardeshmukh, P. D.; Matsui, N.; +23 Authors

    The International Surface Pressure Databank (ISPD; Cram et al. 2015) [http://reanalyses.org/observations/international-surface-pressure-databank] is the world's largest collection of pressure observations. It has been gathered through international cooperation with data recovery facilitated by the ACRE Initiative and the other contributing organizations and assembled under the auspices of the GCOS Working Group on Surface Pressure and the WCRP/GCOS Working Group on Observational Data Sets for Reanalysis by NOAA Earth System Research Laboratory (ESRL), NOAA's National Climatic Data Center (NCDC), and the Climate Diagnostics Center (CDC) of the University of Colorado's Cooperative Institute for Research in Environmental Sciences (CIRES). The ISPDv2 consists of three components: station, marine, and tropical cyclone best track pressure observations. The station component is a blend of many national and international collections. NOTE: A newer version of this dataset, the International Surface Pressure Databank version 3, is available in RDA dataset ds132.1 [http://rda.ucar.edu/datasets/ds132.1/]. Users are recommended to access this updated dataset. The Twentieth Century Reanalysis Project used resources of the National Energy Research Scientific Computing Center [http://www.nersc.gov/] and of the Oak Ridge Leadership Computing Facility [http://www.olcf.ornl.gov/] at Oak Ridge National Laboratory, which are supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 and Contract No. DE-AC05-00OR22725, respectively.

    addClaim

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    5
    citations5
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