2026-05-14T13:57:01Zhttp://doidb.wdc-terra.org/oaip/oai

oai:doidb.wdc-terra.org:78002023-11-10T10:02:27ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.3.3.2023.001 Gaviria-Lugo, Nestor Nestor Gaviria-Lugo 0000-0001-6600-6382 GFZ German Research Centre for Geosciences, Potsdam, Germany Läuchli, Charlotte Charlotte Läuchli Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany Wittmann, Hella Hella Wittmann 0000-0002-1252-7059 GFZ German Research Centre for Geosciences, Potsdam, Germany Bernhard, Anne Anne Bernhard Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany Frings, Patrick Patrick Frings 0000-0002-1012-0642 GFZ German Research Centre for Geosciences, Potsdam, Germany Mohtadi, Mahyar Mahyar Mohtadi 0000-0003-3306-0969 MARUM-Center for Marine Environmental Sciences, Bremen Universität, Bremen, Germany Rach, Oliver Oliver Rach 0000-0003-3547-2182 GFZ German Research Centre for Geosciences, Potsdam, Germany Sachse, Dirk Dirk Sachse 0000-0003-4207-0309 GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2023 Leaf-wax n-alkanes compound specific isotopes aridity evapotranspiration apparent fractionation hyperaridity Chile non-linear river sediment soils marine surface sediments chemical > biochemical substance > lipid chemical > organic substance > hydrocarbon > alkane climate > climate type > desert climate EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > EVAPOTRANSPIRATION EARTH SCIENCE > CLIMATE INDICATORS > PALEOCLIMATE INDICATORS > BIOLOGICAL RECORDS > BIOMARKER EARTH SCIENCE > CLIMATE INDICATORS > PALEOCLIMATE INDICATORS > PALEOCLIMATE RECONSTRUCTIONS > DROUGHT/PRECIPITATION RECONSTRUCTION EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND COVER EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT EARTH SCIENCE > PALEOCLIMATE > LAND RECORDS > ISOTOPES EARTH SCIENCE > PALEOCLIMATE > LAND RECORDS > SEDIMENTS Gaviria-Lugo, Nestor Nestor Gaviria-Lugo 0000-0001-6600-6382 GFZ German Research Centre for Geosciences, Potsdam, Germany Gaviria-Lugo, Nestor Nestor Gaviria-Lugo 0000-0001-6600-6382 GFZ German Research Centre for Geosciences, Potsdam, Germany Läuchli, Charlotte Charlotte Läuchli Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany Wittmann, Hella Hella Wittmann 0000-0002-1252-7059 GFZ German Research Centre for Geosciences, Potsdam, Germany Bernhard, Anne Anne Bernhard Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany Frings, Patrick Patrick Frings 0000-0002-1012-0642 GFZ German Research Centre for Geosciences, Potsdam, Germany Sachse, Dirk Dirk Sachse 0000-0003-4207-0309 GFZ German Research Centre for Geosciences, Potsdam, Germany Sachse, Dirk Dirk Sachse 0000-0003-4207-0309 GFZ German Research Centre for Geosciences, Potsdam, Germany Gaviria-Lugo, Nestor GFZ German Research Centre for Geosciences, Potsdam, Germany Sachse GFZ German Research Centre for Geosciences, Potsdam, Germany Dataset 10.5194/bg-20-4433-2023 10.1038/sdata.2017.191 10.1016/j.orggeochem.2021.104272 10.1016/j.gca.2015.08.016 10.1016/j.chemgeo.2022.120777 10.1029/2003WR002086 10.3390/rs12061044 10.1016/S1002-0160(21)60080-2 10.18739/A2183435S 10.1016/j.gca.2012.09.005 10.1016/j.gca.2018.09.007 10.1002/joc.5086 10.1016/j.gca.2011.11.039 10.1029/2019JG005149 10.5194/bg-17-741-2020 10.1016/j.orggeochem.2017.03.008 10.1016/j.orggeochem.2018.05.011 10.1029/2020JG005891 10.1016/j.gca.2013.04.018 10.1016/j.orggeochem.2019.04.009 10.1016/j.chemgeo.2019.119278 10.1016/j.orggeochem.2020.104015 10.1016/j.epsl.2016.07.049 10.1029/2022JG006932 10.1016/j.gca.2010.06.018 10.1016/j.orggeochem.2009.04.011 10.1016/j.gca.2004.06.004 10.1016/j.orggeochem.2014.09.007 10.1016/j.scitotenv.2020.137045 10.3389/feart.2020.00343 10.6084/m9.figshare.7504448.v4 10.5194/bg-12-3913-2015 10.1016/j.gca.2020.09.014 CC BY 4.0 This data publication is supplementary to a study on the climatic controls on leaf wax hydrogen isotopes, by Gaviria-Lugo et al. (2023). The dataset contains hydrogen isotope ratios from leaf wax n-alkanes (δ2Hwax) taken from soils, river sediments and marine surface sediments along a climatic gradient from hyperarid to humid in Chile. In addition, for each sampling site the hydrogen isotope ratios from precipitation (δ2Hpre) from the grids produced by the Online Isotopes in Precipitation Calculator (OIPC) (Bowen and Revenaugh, 2003). Furthermore, for each sampling site we report mean annual data of precipitation, actual evapotranspiration, relative humidity, and soil moisture, all derived from TerraClimate (Abatzoglou et al., 2018). Also provide data of mean annual temperature and the annual average of maximum daily temperature derived from WorldClim (Fick and Hijmans, 2017). As a final climatic parameter, we also derived data of aridity index from the Consultative Group of the International Agricultural Research Consortium for Spatial Information (CGIARCSI) (Trabucco and Zomer, 2022). In addition to climatic variables, for each site we include land cover fractions of trees, shrubs, grasses, crops, and barren land. These land cover fractions were obtained from Collection 2 of the Copernicus Global Land Cover layers (Buchhorn et al., 2020) via Google Earth Engine.
For further comparison here we provide δ2Hwax compiled from 26 publications (see references) that reported both the n-C29 and n-C31 n-alkanes homologues from soils and lake sediments. For each sampling site of the global compilation, we provide δ2Hpre and the same climatic and land cover parameters as for the Chilean data (i.e., precipitation, actual evapotranspiration, relative humidity, soil moisture, aridity index, temperature, fraction of trees, fraction of grasses, etc.), using the same sources.
The data is provided here as one single .xlsx file containing 9 data sheets, but also as 9 individual .csv files, to be accessed using the file format of preference. Additionally, 5 supplementary figures that accompany the publication Gaviria-Lugo et al. (2023) are provided in one single .pdf file. The samples taken for this study were assigned International Geo Sample Numbers (IGSNs), which are included in the provided tables S4, S5 and S6.

Sampling along the aridity gradient of Chile from hyperarid to humid -74.1718 -69.0742 -42.7755 -26.1622