Data Sources
AMOCatlas provides automated reports for all supported datasets so that you can quickly see the data available, their structure and metadata. The reports also show variable renaming (for consistency between arrays and other sources), metadata fields edited or added, and a sample figure for a quick look.
Individual Dataset Reports
- RAPID Datasets
- OSNAP Datasets
- MOVE Datasets
- SAMBA Datasets
- MOCHA Datasets
- ARCTICGATEWAY Datasets
- DSO Datasets
- FBC Datasets
- FW2015 Datasets
- CALAFAT2025 Datasets
- ZHENG2024 Datasets
- WH41N Datasets
- NOAC47N Datasets
- NAC Datasets
- SF2021 Datasets
- LEBRAS35N Datasets
- AXMOC22S Datasets
- AXMOC34S Datasets
- OVIDE Datasets
- SCOTIA Datasets
Report Features
Each dataset report includes:
- 📊 Dataset Overview
Project information and institutional details
Temporal coverage and record length
Data collection frequency
- 🔄 Variable Mapping Table
Original variable names from source files
Standardized variable names (for AC1 conversion)
Units, descriptions, and statistical summaries
- 📈 Statistical Analysis
Min/max values for each variable
Missing data percentages
Dataset size and structure
Automated Generation
Reports are automatically generated from the actual datasets using the command line tool or Python API.
Command Line Generation:
Generate reports for all supported arrays:
python generate_report
Generate report for a specific dataset:
python generate_report --data_source rapid
Generate reports with custom output directory:
python generate_report --output_dir custom_reports/
Python API:
Reports can also be generated programmatically:
from amocatlas import report
# Generate report for any dataset
rst_report = report.generate_dataset_report("rapid", transport_only=True)
# Analyze dataset for programmatic access
analysis = report.analyze_dataset("rapid", transport_only=True)
print(f"Dataset has {analysis.statistics['total_variables']} variables")
This ensures the documentation always reflects the current state of the data and helps identify any missing or incorrect metadata before implementing AC1 conversion.