Projects with this topic
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WDCC-compliant NetCDF Creation Example in Python for HMG NetCDF chapter https://hmg-netcdf.readthedocs.io/en/v1.0.0/examples/example-wdcc-minimal-standard.html
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Data Science and analysis project on freshwater discharge on the eastern shoreline of Greenland for the department of Marine Carbon Cycling, Institute of Carbon Cycles at Hereon (KCK, Claudia Schmidt).
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A framework leveraging the Functional Mock-up Interface (FMI) to train, validate, and assess Deep Reinforcement Learning agents in complex multi-physical environments.
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A python package to analyse LSM and DGVM outputs
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This PAS is a GUI-based collection of tools that helps users discover and run Python scripts from a folder and its subfolders. It provides a convenient way to execute Python and Pythonw files directly from a graphical interface, with additional features like automatic library installation and organized program listing. Included are scripts to analyze different data types.
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Tree Crown Segmentation and Analysis in Remote Sensing Imagery with PyTorch -- https://deeptrees.de
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Terminal-based Python scripts to automate processing and classifying of xylem cavitation and optical dendrometry image sequences.
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COSmic ray based soil MOisture PredictiOn LIve Tree ANalysis
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Source code for Multiphase Python Repository by HZDR
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A Python package to provide seamless functionality for INSerting, UPDating, and DELeting STAC-Metadata toward either pgSTAC or STAC-API.
Please have a look at https://insupdel4stac.readthedocs.io for the documentation.
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A Python Ecosystem for Harvesting Datasets information from Amazon S3 via INTAKE catalog and Cultivating STAC-Metadata.
Please have a look at https://intake2stac.readthedocs.io for the documentation.
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A Python Ecosystem for Harvesting Time Series data information from SensorthingsAPI (STA) and Cultivating STAC-Metadata.
Please have a look at https://sta2stac.readthedocs.io/ for the documentation.
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A Python Ecosystem for Harvesting Datasets information from Thredds Data Server and Cultivating STAC-Metadata.
Please have a look at https://tds2stac.readthedocs.io for the documentation.
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