Notebooks
Interactive Jupyter notebooks for working with DoD2k. Each notebook provides a complete workflow for specific tasks.
Loading Individual Databases
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Load CoralHydro2k
Load and process the CoralHydro2k database
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Load FE23
Load and process the FE23 database
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Load Iso2k
Load and process the Iso2k database
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Load PAGES2k
Load and process the PAGES2k database
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Load SISAL
Load and process the SISAL speleothem database
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Merge Databases
Combine multiple databases into DoD2k
Duplicate Detection Workflow
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Step 1: Detect Duplicates
Identify potential duplicate records across databases
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Step 2: Review Duplicates
Review and classify detected duplicate candidates
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Step 3: Remove Duplicates
Remove confirmed duplicates from the database
Visualization & Exploration
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Explore Database Info
View summary statistics and metadata of the compact dataframe
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Plot DoD2k
Create visualizations of proxy records and spatial distributions
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Filter Database
Filter records by metadata criteria (archive type, location, etc.)
Analysis of filtered database
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Moisture and temperature-moisture records
Analyse moisture and moisture-temperature sensitive records
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Speleothem records only
Analyse speleothem records
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Moisture records only
Analyse moisture sensitive records
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Temperature records
Analyse temperature sensitive records
Quick Access
Typical workflows:
- Load data → Use individual load notebooks or merge_databases.ipynb
- Clean data → Run duplicate detection workflow (3 steps)
- Explore data → Use df_info.ipynb and df_plot_dod2k.ipynb
- Filter data → Use df_filter.ipynb for targeted analysis