Skip to main content

MARIS companion package and tutorials

Project description

Marisco

The IAEA Marine Radioactivity Information System (MARIS) allows free access to users to search and download the results of measurements of radioactivity in seawater, biota, sediment and suspended matter. MARIS is maintained and developed by the IAEA Environmental Laboratories in Monaco.

The current Python package offers command-line utilities for encoding harvested datasets into NetCDF or .csv formats. This allows users to easily convert their data into a format that is compatible with a wide range of scientific and data analysis tools.

Install

Now, to install marisco simply run

pip install marisco

Once successfully installed, run the following command:

maris_init

This command:

  1. creates a .marisco/ directory containing various configuration/configurable files ((below)) in your /home directory
  2. creates a configs.toml file containing default but configurable settings (default paths, …)
  3. creates a configurable cdl.toml file used to generate a MARIS NetCDF4 CDL (Common Data Language) template;
  4. downloads several MARIS DB nomenclature/lookup table into .marisco/lut/ directory
  5. generate maris-template.nc, the MARIS NetCDF4 template generated from cdl.toml and use to encode MARIS datasets

[!TIP]

For inexperienced Python users, please refers to How to setup Marisco with Anaconda or How to setup Marisco with Windows Subsystem for Linux (WSL) and Visual Studio Code editor.

Getting started

Command line utilities

All commands accept a -h argument to get access to its documentation.

maris_init

Create configuration files, MARIS NetCDF CDL (Common Data Language) and donwload required lookup tables (nomenclatures).

maris_create_nc_template

Generate MARIS NetCDF template to be used when encoding datasets

maris_netcdfy

Encode MARIS dataset as NetCDF

Positional arguments:

  • handler_name: Handler’s name (e.g helcom, …)
  • str: Path to dataset to encode
  • dest: Path to converted NetCDF4

Example:

maris_netcdfy helcom _data/accdb/mors/csv _data/output/helcom.nc

Development

FAQ

How is cdl.toml created & what it is used for?

A Python dictionary named CONFIGS_CDL specifying MARIS NetCDF attributes, variables, dimensions, … is defined in nbs/api/configs.ipynb in the first instance. Running the command maris_init will generate a toml version of it named .marisco/cdl.toml further used to create a MARIS NetCDF template named in .marisco/maris-template.nc.

Once marisco installed, further customization of the MARIS NetCDF template can be done directly through .marisco/cdl.toml file then running the command maris_create_nc_template.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

marisco-0.1.4.tar.gz (39.9 kB view details)

Uploaded Source

Built Distribution

marisco-0.1.4-py3-none-any.whl (47.2 kB view details)

Uploaded Python 3

File details

Details for the file marisco-0.1.4.tar.gz.

File metadata

  • Download URL: marisco-0.1.4.tar.gz
  • Upload date:
  • Size: 39.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for marisco-0.1.4.tar.gz
Algorithm Hash digest
SHA256 e27988bee863631b355f350c1d11bd8ea5286e464fec981dc0930341e1083274
MD5 da1cf1c7ea16d1ce4bfd023cb7a53845
BLAKE2b-256 c9c6887f2cd8b9625e3ab07f9412be07424f116d28deddd9a4de00ed318e9f42

See more details on using hashes here.

File details

Details for the file marisco-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: marisco-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 47.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for marisco-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 cc45aea41d9178f27b44f794c3847e6988a1e279f2ee5594bf5127a38832fb77
MD5 0ade08b2716437d0724baf526a7cf739
BLAKE2b-256 fa923ade3779ae3ef42f878e402c61045cd2f66e2937b27f4f6f576c01b5a7e5

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page