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  • 1
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    Supporting material for Quantifying tectonic and glacial controls on topography in the Patagonian Andes (46.5°S) from integrated thermochronometry and thermokinematic modeling (2021)
    GFZ Data Services
    Details
    Publication Date: 2021-08-04
    Description: Abstract
    Description: The data set includes supporting tables and figures to the main text of the manuscript entitled “Quantifying tectonic and glacial controls on topography in the Patagonian Andes (46.5°S) from integrated thermochronometry and thermokinematic modeling”. The paper focuses on tectonic and glacial contributions to the erosion history and topography in the Patagonian Andes (46.5°S). The data set comprises (i) new bedrock thermochronometric ages (apatite and zircon (U-Th)/He, AHe and ZHe, respectively, and fission-track measurements, AFT and ZFT, respectively); (ii) published bedrock thermochronometric ages (AHe, AFT, ZHe and ZFT measurements), (iii) 3D thermo-kinematic model results and (iv) a table including parameters used in the modeling. The detailed analytical procedure is described in a description file (“2021-004_Andric-Tomasevic-et-al_Data-Description.pdf”).
    Keywords: Patagonian Andes ; thermochronology ; 3 D thermo-kinematic numerical modeling ; fold and thrust belt ; Glacial erosion ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 EROSION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS
    Type: Dataset , Dataset
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  • 2
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    ESD_thermotrace, A new software to interpret tracer thermochronometry datasets and quantify related confidence levels (2022)
    GFZ Data Services
    Details
    Publication Date: 2022-04-04
    Description: Abstract
    Description: We present a new Python-based Jupyter Notebook that helps interpreting detrital tracer thermochronometry datasets and quantifying the statistical confidence of such analysis. Users are referred to the linked GitHub repository for usage and methods. https://github.com/mdlndr/ESD_thermotrace
    Description: TechnicalInfo
    Description: MIT License Copyright (c) 2021 Andrea Madella Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
    Description: Other
    Description: The DFG Priority Program 1803 "EarthShape - Earth Surface Shaping by Biota" (2016-2022; https://www.earthshape.net/) explored between scientific disciplines and includes geoscientists and biologists to study from different viewpoints the complex question how microorganisms, animals, and plants influence the shape and development of the Earth’s surface over time scales from the present-day to the young geologic past. All study sites are located in the north-to-south trending Coastal Cordillera mountains of Chile, South America. These sites span from the Atacama Desert in the north to the Araucaria forests approximately 1300 km to the south. The site selection contains a large ecological and climate gradient ranging from very dry to humid climate conditions.
    Keywords: Detrital Tracer Thermochronology ; EarthShape ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 EROSION ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 SEDIMENT CHEMISTRY ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 SEDIMENT COMPOSITION ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 SEDIMENT TRANSPORT ; EARTH SCIENCE 〉 LAND SURFACE 〉 GEOMORPHOLOGY ; EARTH SCIENCE 〉 LAND SURFACE 〉 GEOMORPHOLOGY 〉 FLUVIAL LANDFORMS/PROCESSES ; EARTH SCIENCE 〉 LAND SURFACE 〉 GEOMORPHOLOGY 〉 TECTONIC LANDFORMS/PROCESSES ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 SEDIMENTS ; science 〉 natural science 〉 earth science 〉 sedimentology
    Type: Software , Software
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  • 3
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    Compilation of Cenozoic temperature proxies for terrestrial and marine surface environments (2022)
    GFZ Data Services
    Details
    Publication Date: 2022-11-25
    Description: Abstract
    Description: We provide a globally distributed compilation of published surface temperature proxies for eight Cenozoic time periods that cover the range of paleoclimate states. The proxies have both a marine and terrestrial provenance and are compared to the annual temperature of the same location today. This data is then used to quantify long-term temperature changes on zonal and global levels. When coupled with recent estimates of atmospheric CO2 concentration, temperature data constrains the sensitivity of Earth's climate system to perturbation of the radiative balance, with possible implications for the future response to anthropogenic forcing. The dataset consists of an excel file with eight sheets for the eight selected timeslices, namely, •mid-Pliocene (3,0 - 3,3 Ma) •late Miocene (7,2 - 11,6 Ma) •mid-Miocene (14,7 - 17,0 Ma) •early Miocene (20,3 - 23,0 Ma) •early Oligocene (27,8 - 33,9 Ma) •late Eocene (33,9 - 37,8 Ma) •middle Eocene (42 - 46 Ma) •early Eocene (48 - 55 Ma)
    Description: Methods
    Description: Most data were directly adopted from the primary sources. However, a number of published datasets were recalculated from the published geochemical proxy indices using the recent Bayesian core-top calibrations BAYSPAR (Tierney & Tingley, 2015), BAYSPLINE (Tierney & Tingley, 2018), BAYFOX (Malevich et al., 2019), BAYMAG (Tierney et al., 2019) and BAYMBT (Crampton-Flood et al., 2020). These are highlighted in blue in the dataset. When more than one datapoint of a proxy is available for a given location, for example as part of a sea-surface temperature timeseries, then all datapoints falling within the bounds of our study timeslices were considered and the median was reported. Locations that are separated by less than 0.1 degrees in latitude and longitude were counted as a single locality.
    Keywords: lipid biomarkers ; coexistence approach ; leaf margin analysis ; microfossil assemblages ; oxygen isotopes ; bioclimatic analysis ; Earth system sensitivity ; Cenozoic ; EARTH SCIENCE 〉 ATMOSPHERE 〉 ATMOSPHERIC RADIATION 〉 RADIATIVE FORCING ; EARTH SCIENCE 〉 ATMOSPHERE 〉 ATMOSPHERIC TEMPERATURE 〉 TEMPERATURE ANOMALIES ; EARTH SCIENCE 〉 OCEANS 〉 OCEAN TEMPERATURE 〉 SEA SURFACE TEMPERATURE ; EARTH SCIENCE 〉 PALEOCLIMATE 〉 LAND RECORDS 〉 PALEOVEGETATION ; EARTH SCIENCE 〉 PALEOCLIMATE 〉 PALEOCLIMATE RECONSTRUCTIONS 〉 AIR TEMPERATURE RECONSTRUCTION
    Type: Dataset , Dataset
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  • 4
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    Global Distribution of Frost Cracking Intensity during Late Cenozoic Time-slices (2022)
    GFZ Data Services
    Details
    Publication Date: 2023-01-02
    Description: Abstract
    Description: This dataset includes the first order (global) distribution of frost cracking intensities (FCI) [°C m], for selected paleoclimate time-slices during Late Cenozoic, as presented in the paper by Sharma et al. (2022). The paleoclimate time-slices correspond to Pre-Industrial (~1850 CE, PI), Mid-Holocene (~6 ka, MH), Last Glacial Maximum (~21 ka, LGM) and Pliocene (~3 Ma, PLIO). The FCI (by segregation ice growth) is predicted using the approach of Andersen et al. (2015), as a function of subsurface thermal gradient and volume of (and distance to) liquid water. The paleo-temperature reconstructions are obtained from ECHAM5 general circulation model (GCM) at T159 spatial resolution (80 km * 80 km) by Mutz et al. (2018). The spatial resolution of FCI dataset is same as ECHAM5 GCM simulations (i.e. 80 km * 80 km). The dataset comprises the following: -Scripts (Python) for modeling FCI for approach described in Sharma et al. (2022). -Global FCI distribution as netCDF and ascii formats. The data is available in both netCDF and ascii formats. However, the model code (attached Python scripts) currently supports only netCDF format. The model scripts can be freely utilized for regional and local studies which require finer resolution dataset. Please refer to the associated data description file for a detailed description of the dataset.
    Description: Methods
    Description: The model is based on the approach of Andersen et al. (2015) to estimate FCI as a function of subsurface thermal gradients up to the depth of 20 m. For segregation ice growth, it additionally considers the influence of volume of water available in the proximity of an ice lens. The boundary condition includes the presence of positive temperatures (T 〉 0 °C) at either boundary (at surface or 20 m depth). The frost cracking is supported if the bedrock temperature is in the frost cracking window (–8 °C and –3 °C). The integrated FCI each grid cell, across Earth’s terrestrial surface was calculated by depth integration of the FCI averaged over a period of 1 year. The unit of FCI data is °C m.
    Keywords: Periglacial processes ; frost weathering ; frost cracking intensity ; paleoclimate ; Cenozoic ; EarthShape ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 GLACIAL PROCESSES 〉 PERIGLACIAL PROCESSES
    Type: Dataset , Dataset
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  • 5
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    Data supplement to: Chemistry and Microbiology of the Critical Zone along a steep climate and vegetation gradient in the Chilean Coastal Cordillera (2018)
    GFZ Data Services
    Details
    Publication Date: 2024-03-07
    Description: Abstract
    Description: The Chilean Coastal Cordillera features a spectacular climate and vegetation gradient, ranging from arid and unvegetated areas in the north to humid and forested areas in the south. The DFG Priority Program "EarthShape" (Earth Surface Shaping by Biota) uses this natural gradient to investigate how climate and biological processes shape the Earth's surface. We explored the critical zone, the Earth's uppermost layer, in four key sites located in desert, semidesert, mediterranean, and temperate climate zones of the Coastal Cordillera, with the focus on weathering of granitic rock. Here, we present first results from four ~2m-deep regolith profiles to document: (1) architecture of weathering zone; (2) degree and rate of rock weathering, thus the release of mineral-derived nutrients to the terrestrial ecosystems; (3) denudation rates; and (4) microbial abundances of bacteria and archaea in the saprolite. From north to south, denudation rates from cosmogenic nuclides are ~10 t km-2 yr-1 at the arid Pan de Azúcar site, ~20 t km-2 yr-1 at the semi-arid site of Santa Gracia, ~60 t km-2 yr-1 at the mediterranean climate site of La Campana, and ~30 t km-2 yr-1 at the humid site of Nahuelbuta. A and B horizons increase in thickness and elemental depletion or enrichment increases from north (~26 °S) to south (~38 °S) in these horizons. Differences in the degree of chemical weathering, quantified by the chemical depletion fraction (CDF), are significant only between the arid and sparsely vegetated site and the other three sites. Differences in the CDF between the sites, and elemental depletion within the sites are sometimes smaller than the variations induced by the bedrock heterogeneity. Microbial abundances (bacteria and archaea) in saprolite substantially increase from the arid to the semi-arid sites. With this study, we provide a comprehensive dataset characterizing the Critical Zone geochemistry in the Chilean Coastal Cordillera. This dataset confirms climatic controls on weathering and denudation rates and provides prerequisites to quantify the role of biota in future studies. The data are supplementary material to Oeser et al. (2018). All samples are assigned with International Geo Sample Numbers (IGSN), a globally unique and persistent Identifier for physical samples. The IGSNs are provided in the data tables and link to a comprehensive sample description in the internet. The content of the eight data tables is: Table S1: Catena properties of the four primary EarthShape study areas. Table S2: Major and selected trace element concentration for bedrock samples. Table S3 Normative modal abundance of rock-forming minerals. Table S4: Major and selected trace element concentration for regolith samples and dithionite and oxalate soluble pedogenic oxides. Table S5: Weathering indices CDF and CIA, and the mass transfer coefficients (τ) for major and trace elements along with volumetric strain (ɛ). Table S6: Chemical weathering and physical erosion rates Table S7: Relative microbial abundances in saprolite of the four study areas. Table S8: Uncorrected major and trace element concentration. The data tables are provided as one Excel file with eight spreadsheets, as individual tables in .csv format in a zipped archive and as printable PDF versions in a zipped archive.
    Description: Other
    Description: The DFG Priority Program 1803 "EarthShape - Earth Surface Shaping by Biota" (2016-2022) bridges between scientific disciplines and includes geoscientists and biologists to study from different viewpoints the complex question how microorganisms, animals, and plants influence the shape and development of the Earth’s surface over time scales from the present-day to the distant geologic past. All study sites are located in the north-to-south trending Coastal Cordillera mountains of Chile, South America. These sites span from the Atacama Desert in the north to the Araucaria forests approximately 1300 km to the south. The site selection contains a large ecological and climate gradient ranging from very dry to humid climate conditions.
    Keywords: denudation ; microbial abundance ; Chile ; climate ; National Parc Pan de Azucar ; Private Reserve Santa Gracia ; National Parc La Campana ; National Parc Nahuelbuta ; Coastal Cordillera ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 EROSION ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 WEATHERING ; EARTH SCIENCE 〉 LAND SURFACE 〉 SOILS 〉 MICROFLORA ; EARTH SCIENCE 〉 LAND SURFACE 〉 SOILS 〉 SOIL CHEMISTRY
    Type: Dataset , Dataset
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