MARISCO
The IAEA Marine Radioactivity Information System (MARIS) provides open access to radioactivity measurements in marine environments. Developed by the IAEA Marine Environmental Laboratories in Monaco, MARIS offers data on seawater, biota, sediment, and suspended matter.
This Python package includes command-line tools to convert MARIS datasets into NetCDF or .csv formats, enhancing compatibility with various scientific and data analysis software.
Core Concept: Handlers
marisco is built around the concept of handlers - specialized modules designed to convert MARIS datasets into NetCDF format. Each handler is tailored to a specific data provider and implemented as a dedicated Jupyter notebook.
Literate Programming Approach
We’ve adopted a Literate Programming approach, which means:
- Documentation: Each handler serves as comprehensive documentation.
- Code Reference: The notebooks contain the actual implementation code.
- Communication Tool: They facilitate discussions with data providers about discrepancies or inconsistencies.
Powered by nbdev
To achieve this, we leverage nbdev, a powerful tool that allows us to:
- Write code within Jupyter notebooks
- Automatically export relevant parts as dedicated Python modules
This approach bridges the gap between documentation and implementation, ensuring they remain in sync.
See It in Action
For a concrete example of this approach, check out our OSPAR dataset handler implementation.
List of currently available handlers
MARISCO includes a suite of specialized data handlers designed to:
- Convert provider-specific data formats into standardized MARIS NetCDF files
- Ensure data quality and consistency across providers
- Facilitate integration with the MARIS marine radioactivity database
- Support automated data processing workflows
The following handlers are currently implemented:
| Handler | Description | Link to Data Source |
|---|---|---|
| MARIS Legacy | All legacy MARIS datasets from the MARIS Master Database | - |
| HELCOM | HELCOM marine environment protection datasets | HELCOM |
| OSPAR | OSPAR marine environment datasets | ODIMS OSPAR |
| TEPCO | TEPCO Fukushima monitoring data | TEPCO Monitoring |
| GEOTRACES | BODC GEOTRACES oceanographic data | GEOTRACES IDP2021 |
Install
Now, to install marisco simply run
pip install marisco
Zotero API key
Before initializing marisco, you need to set up your Zotero API key. marisco automatically retrieves bibliographic metadata for MARIS datasets from Zotero.
To do so, define the following environment variable containing the MARIS Zotero API key:
export ZOTERO_API_KEY=your_api_key_here
Please contact MARIS Administrators to get your API key.
What would be the proper way to mention the maris team email address above? I don’t want this email address to be abused
🤖Reply🤖
Good question! You’re right to be cautious about email addresses and spam/abuse. Here are a few approaches, from most to least protective:
Generic contact form/page reference:
Please contact the MARIS team through their [contact page](https://maris.iaea.org/contact)Obfuscated but clear instruction:
Please contact the MARIS team at maris [at] iaea [dot] orgInstruction to find it elsewhere:
Please contact the MARIS team (contact information available on the MARIS website)Generic organizational email pattern:
Please contact the MARIS team at the IAEA Marine Environment Laboratories
For documentation like this, I’d recommend option 1 (linking to a contact page) if one exists, or option 2 (the obfuscated format) as it’s clear enough for humans but harder for automated scrapers to harvest.
Which approach fits best with how the MARIS team prefers to be contacted?
Initialize marisco
Once the API key is set, run the following command:
maris_init
This command:
- creates a
.marisco/directory containing various configuration/configurable files in your/homedirectory; - creates a
configs.tomlfile containing default but configurable settings (default paths, …); - downloads several MARIS DB nomenclature/lookup tables into
.marisco/lut/directory; - downloads
maris-template.nc, the MARIS NetCDF4 template.
## Getting started
### Command line utilities
All commands accept a `-h` argument to get access to its documentation.
#### `maris_init`
Download configuration file, NetCDF MARIS template and required lookup tables (nomenclatures).
#### `maris_to_nc`
Convert `helcom`, `geotraces`, `tepco` or `ospar` marine radioactivity datasets to MARIS NetCDF4 format.
usage: maris_to_nc [-h] [–src SRC] ds dest
positional arguments: ds Name of the dataset to encode as NetCDF4 dest Output path for NetCDF file
options: -h, –help show this help message and exit –src SRC Optional input data path only required for the ‘GEOTRACES’ dataset
For instance: `maris_to_nc ospar 191-OSPAR-2024.nc`
#### `maris_db_to_nc`
The MARIS Master Database integrates two types of datasets:
- Historical datasets retrieved from published scientific papers
- Ongoing monitoring data from international programs like `HELCOM`, `OSPAR`, `TEPCO`, and `GEOTRACES`
This command-line utility converts MARIS datasets from their legacy format to NetCDF4, making them more accessible for modern data analysis workflows. Users can either convert the entire database or specify particular datasets by their reference IDs for selective conversion.
usage: maris_db_to_nc [-h] [–ref_ids REF_IDS] src dest
Convert MARIS legacy database to NetCDF4 format. If ref_ids is provided as comma-separated values, only encodes those subsets.
positional arguments: src Path to MARIS database dump as .txt file dest Output path for NetCDF file(s)
options: -h, –help show this help message and exit –ref_ids REF_IDS Optional comma-separated reference IDs (e.g., “123,456,789”) (default: )
For instance:
- `maris_db_to_nc "~/pro/data/maris/2024-11-20 MARIS_QA_shapetype_id=1.txt" ~/pro/tmp/output`
- or `maris_db_to_nc "~/pro/data/maris/2024-11-20 MARIS_QA_shapetype_id=1.txt" ~/pro/tmp/output --ref_ids="16,30"` for a subset of the MARIS Master Database.
#### `maris_nc_to_csv`
This utility converts NetCDF files to CSV files that conform to the MARIS Standard format, originally designed for OpenRefine workflows.
Although MARISCO has now superseded OpenRefine in the data preparation pipeline, the MARIS master database continues to require CSV inputs in this legacy format. This command-line utility, built with the MARISCO library, handles the conversion process.
usage: maris_nc_to_csv [-h] src dest
Converts NetCDF files into CSV files that follow the MARIS Standard format.
positional arguments: src Input path and filename for NetCDF file dest Output path and filename (without extension) for CSV file
options: -h, –help show this help message and exit
For instance: `maris_nc_to_csv ~/pro/tmp/output/191-OSPAR-2024.nc ~/pro/tmp/output/191-OSPAR-2024`
::: {.callout-tip}
## Note
When specifying the destination path (e.g., `~/pro/tmp/output/191-OSPAR-2024`), the utility automatically appends the MARIS sample type to the filename. For example:
- `191-OSPAR-2024_BIOTA.csv` for biological samples
While this specific example produces only a BIOTA file, the utility can generate multiple files (one per sample type) depending on the content of the source dataset. This reflects the NetCDF4 file structure, where each MARIS sample type is stored as a separate group within the file.
:::
## Development
As already explained the `maris_init` command will download the `maris-template.nc` file from [MARISCO GitHub repository](https://github.com/franckalbinet/marisco) from the following path: `nbs/api/files/nc/maris-template.nc` to your home directory under `.marisco/` folder.
You have to know that the MARIS NetCDF template is generated from `nbs/api/files/cdl/maris.cdl` Common Data Language (CDL) file as defined by [Unidata](https://docs.unidata.ucar.edu/). During development, to generate the MARIS NetCDF template `nbs/api/files/nc/maris-template.nc`:
1. install the [NetCDF-C](https://pjbartlein.github.io/REarthSysSci/install_netCDF.html) utilities
2. once in `Marisco` home directory, run:
```console
ncgen -4 -o nbs/files/nc/maris-template.nc nbs/files/cdl/maris.cdl
cp nbs/files/nc/maris-template.nc ~/.marisco/