27 research outputs found

    A global database of Holocene paleotemperature records

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    A comprehensive database of paleoclimate records is needed to place recent warming into the longer-term context of natural climate variability. We present a global compilation of quality-controlled, published, temperature-sensitive proxy records extending back 12,000 years through the Holocene. Data were compiled from 679 sites where time series cover at least 4000 years, are resolved at sub-millennial scale (median spacing of 400 years or finer) and have at least one age control point every 3000 years, with cut-off values slackened in data-sparse regions. The data derive from lake sediment (51%), marine sediment (31%), peat (11%), glacier ice (3%), and other natural archives. The database contains 1319 records, including 157 from the Southern Hemisphere. The multi-proxy database comprises paleotemperature time series based on ecological assemblages, as well as biophysical and geochemical indicators that reflect mean annual or seasonal temperatures, as encoded in the database. This database can be used to reconstruct the spatiotemporal evolution of Holocene temperature at global to regional scales, and is publicly available in Linked Paleo Data (LiPD) format.Fil: Kaufman, Darrell. Northern Arizona University.; Estados UnidosFil: McKay, Nicholas. Northern Arizona University.; Estados UnidosFil: Routson, Cody. Northern Arizona University.; Estados UnidosFil: Erb, Michael. Northern Arizona University.; Estados UnidosFil: Davis, Basil. University Of Lausanne; SuizaFil: Heiri, Oliver. University Of Basel; SuizaFil: Jaccard, Samuel. University Of Bern; SuizaFil: Tierney, Jessica. University of Arizona; Estados UnidosFil: Dätwyler, Christoph. University Of Bern; SuizaFil: Axford, Yarrow. Northwestern University; Estados UnidosFil: Brussel, Thomas. University of Utah; Estados UnidosFil: Cartapanis, Olivier. University Of Bern; SuizaFil: Chase, Brian. Universite de Montpellier; FranciaFil: Dawson, Andria. Mount Royal University; CanadáFil: de Vernal, Anne. Université du Québec a Montreal; CanadáFil: Engels, Stefan. University of London; Reino UnidoFil: Jonkers, Lukas. University Of Bremen; AlemaniaFil: Marsicek, Jeremiah. University of Wisconsin-Madison; Estados UnidosFil: Moffa Sánchez, Paola. University of Durham; Reino UnidoFil: Morrill, Carrie. University of Colorado; Estados UnidosFil: Orsi, Anais. Université Paris-Saclay; FranciaFil: Rehfeld, Kira. Heidelberg University; AlemaniaFil: Saunders, Krystyna. Australian Nuclear Science And Technology Organisation; AustraliaFil: Sommer, Philipp. University Of Lausanne; SuizaFil: Thomas, Elizabeth. University At Buffalo; Estados UnidosFil: Tonello, Marcela Sandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; ArgentinaFil: Tóth, Mónika. Balaton Limnological Institute; HungríaFil: Vachula, Richard. Brown University; Estados UnidosFil: Andreev, Andrei. Alfred Wegener Institut Helmholtz Centre for Polar and Marine Research; AlemaniaFil: Bertrand, Sebastien. Ghent University; BélgicaFil: Massaferro, Julieta. Administración de Parques Nacionales. Parque Nacional "Nahuel Huapi"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

    Observer variability of absolute and relative thrombus density measurements in patients with acute ischemic stroke

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    Introduction: Thrombus density may be a predictor for acute ischemic stroke treatment success. However, only limited data on observer variability for thrombus density measurements exist. This study assesses the variability and bias of four common thrombus density measurement methods by expert and non-expert observers. Methods: For 132 consecutive patients with acute ischemic stroke, three experts and two trained observers determined thrombus density by placing three standardized regions of interest (ROIs) in the thrombus and corresponding contralateral arterial segment. Subsequently, absolute and relative thrombus densities were determined using either one or three ROIs. Intraclass correlation coefficient (ICC) was determined, and Bland–Altman analysis was performed to evaluate interobserver and intermethod agreement. Accuracy of the trained observer was evaluated with a reference expert observer using the same statistical analysis. Results: The highest interobserver agreement was obtained for absolute thrombus measurements using three ROIs (ICCs ranging from 0.54 to 0.91). In general, interobserver agreement was lower for relative measurements, and for using one instead of three ROIs. Interobserver agreement of trained non-experts and experts was similar. Accuracy of the trained observer measurements was comparable to the expert interobserver agreement and was better for absolute measurements and with three ROIs. The agreement between the one ROI and three ROI methods was good. Conclusion: Absolute thrombus density measurement has superior interobserver agreement compared to relative density measurement. Interobserver variation is smaller when multiple ROIs are used. Trained non-expert observers can accurately and reproducibly assess absolute thrombus densities using three ROIs

    Specification of ACMG/AMP variant classification guidelines for Familial Hypercholesterolemia – a ClinGen FH Variant Curation Committee Pilot Study

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    Familial hypercholesterolemia (FH) is a common autosomal dominant disorder (~1:250 individuals affected) of lipid metabolism, associated with an increased risk of cardiovascular disease. Individuals with FH characteristically present with severely elevated blood cholesterol levels, which leads to atherosclerotic plaque formation and subsequently, myocardial infarction due to premature coronary artery disease. Three main causative genes have been associated with FH: LDLR, APOB and PCSK9. Diagnosis is critical for early intervention and treatment, and it is imperative that family members of affected individuals be identified as early as possible.N/

    Adaptation of ACMG/AMP guidelines for variant interpretation in familial hypercholesterolemia – a ClinGen FH Expert Panel pilot study

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    Familial hypercholesterolemia (FH) is an autosomal dominant disorder of lipid metabolism associated with premature atherosclerosis and increased cardiovascular risk. Over 3,000 variants in LDLR, APOB, and PCSK9 have been identified in FH patients; however, <10% of these have been functionally proven to cause disease. The recent ACMG/AMP guidelines for standardized variant interpretation in Mendelian disorders are being used to help further classify FH-associated variants. Despite such efforts, these existing ACMG/AMP guidelines need to be modified to become more disease-specific for FH. In 2016, the Clinical Genome Resource (ClinGen) consortium FH Expert Panel was created with the goal to develop FH-specific variant interpretation guidelinesJR Chora was funded by SFRH/BD/108503/2015. The ClinGen Consortium is funded by the NHGRI, in conjunction with additional funding from the NICHD and NCI, through the following grants and contracts: 1U41HG006834-01A1 (Rehm), 1U01HG007437-01 (Berg), 1U01HG007436-01 (Bustamante), and HHSN261200800001E.N/

    Publisher Correction: A global database of Holocene paleotemperature records

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    In an earlier version of this Data Descriptor the figure images 4, 5 and 6 were swapped. Both the HTML and PDF versions have been updated to reflect this change

    Publisher Correction: A global database of Holocene paleotemperature records

    Get PDF
    In an earlier version of this Data Descriptor the figure images 4, 5 and 6 were swapped. Both the HTML and PDF versions have been updated to reflect this change
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