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AntADatabase

Visit the Home Page for full documentation and examples.

SQL database for the AntArchitecture Community Data

AntADatabase is a Python package providing efficient access to Internal Reflecting Horizons (isochrones) data across Antarctica. Designed for ice sheet modelers, it offers fast, memory-efficient data structures to constrain models with published IRH data.

Key Features

  • SQL Indexing: Fast querying of IRH data by dataset, institute, project, age, region, basin, variable, or flight ID
  • HDF5 Storage: Data stored in HDF5 format for optimal read performance
  • Plotting Tools: Built-in visualization functions for quick data exploration
  • Lazy Data Generation: Generate data for later use

Data Variables

Each dataset contains (when available):

  • PSX, PSY: Coordinates
  • Distance: Along-track distance
  • IRH_DEPTH: Internal Reflecting Horizon depth
  • IRH_NUM: Number of traced IRHs per point
  • ICE_THK: Ice thickness
  • SURF_ELEV: Surface elevation
  • BED_ELEV: Bed elevation

Installation

pip install anta_database

For the latest development version:

pip install git+https://github.com/antoinehermant/anta_database.git

Quick Start

from anta_database import Database

# Initialize database (contact maintainer for data access)
db = Database("/path/to/AntADatabase/")

# Query data by various criteria
db.query(dataset="Cavitte_2020", age=10000)

# Visualize data
db.plot.var(title="My IRH Data")

Documentation

Full documentation and examples are available on the Home Page.

Data Access

The database files are not publicly hosted. Please contact antoine.hermant@unibe.ch to request access to the data.

Support

Citation

If you use this tool in your work, please cite this repository and the original data sources using their provided DOIs.

Acknowledgments

Developed as part of the CHARIBDIS project (Swiss National Science Foundation grant no. 211542).

Metadata

Release files for anta-database 0.4.1

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