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Notebooks

Interactive Jupyter notebooks for working with DoD2k. Each notebook provides a complete workflow for specific tasks.


Loading Individual Databases


Duplicate Detection Workflow

  • Step 1: Detect Duplicates


    Identify potential duplicate records across databases

    Open notebook

  • Step 2: Review Duplicates


    Review and classify detected duplicate candidates

    Open notebook

  • Step 3: Remove Duplicates


    Remove confirmed duplicates from the database

    Open notebook


Visualization & Exploration

  • Explore Database Info


    View summary statistics and metadata of the compact dataframe

    Open notebook

  • Plot DoD2k


    Create visualizations of proxy records and spatial distributions

    Open notebook

  • Filter Database


    Filter records by metadata criteria (archive type, location, etc.)

    Open notebook


Analysis of filtered database

  • Moisture and temperature-moisture records


    Analyse moisture and moisture-temperature sensitive records

    Open notebook

  • Speleothem records only


    Analyse speleothem records

    Open notebook

  • Moisture records only


    Analyse moisture sensitive records

    Open notebook

  • Temperature records


    Analyse temperature sensitive records

    Open notebook


Quick Access

Typical workflows:

  1. Load data → Use individual load notebooks or merge_databases.ipynb
  2. Clean data → Run duplicate detection workflow (3 steps)
  3. Explore data → Use df_info.ipynb and df_plot_dod2k.ipynb
  4. Filter data → Use df_filter.ipynb for targeted analysis