14 research outputs found
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.Peer reviewe
Genetic, Maternal and Placental Factors in the Association between Birth Weight and Physical Fitness: A Longitudinal Twin Study
Adult cardiorespiratory fitness and muscle strength are related to all-cause and cardiovascular mortality. Both are possibly related to birth weight, but it is unclear what the importance is of genetic, maternal and placental factors in these associations.status: publishe
Average maximum oxygen uptake in birth weight quarters.
<p>Q1–Q4: Birth weight quarter 1–4 (Q1 = lowest quarter).</p
Regression Coefficients for Δ Birth Weight in MZ and DZ twins (Pair Wise, Stratified Analysis).
<p>Results were obtained by use of a two-level random intercept, random slope (for time) model.</p><p>Model 1: Δ birth weight and time point.</p><p>Model 2: model 1+chorionicity, Δ physical activity, Δ height and Δ weight (the latter not included in the V02 peak models).</p><p>MZ: Monozygotic, DZ: Dizygotic.</p
Regression Coefficients for Birth Weight in the Individual Analysis.
<p>Results were obtained by use of a three-level random intercept, random slope (for time) model.</p><p>Model 1: birth weight, gestational age, time point and sex.</p><p>Model 2: model 1+zygosity-chorionicity, smoking, physical activity, height and weight (the latter not included in the V02 peak models).</p><p>Model 3: model 2+parental BMI.</p
Twin Characteristics at the Start of the Study.
*<p>For description purposes, smoking was analyzed for the final measuring moment instead of at the start of the study.</p><p>Results are given as mean ± SD, median [interquartile range] or as n (%).</p><p>MZ: monozygotic, DZ: dizygotic,</p>**<p>Comparison MZ and DZ twins <0.05 (t-test).</p
Regression Coefficients for Birth Weight: Mean of the Twin Pair and Difference within the Twin Pair.
<p>Results were obtained by use of a three-level random intercept, random slope (for time) model.</p><p>Model: birth weight, gestational age, time point, sex, zygosity-chorionicity, smoking, physical activity, height, weight (not included in the V02 peak models) and parental BMI.</p