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ESD_thermotrace, A new software to interpret tracer thermochronometry datasets and quantify related confidence levels

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

Global identifier:

Doi(
    "10.5880/fidgeo.2021.003",
)

Types:

Tags: Tracer ? Lagerstätte ? Software ? Detrital Tracer Thermochronology ? 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 ? EarthShape ? science > natural science > earth science > sedimentology ?

License: mit

Language: Englisch/English

Organisations

Persons

Issued: 2022-01-01

Status

Quality score

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