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After installing as a Python package, you can run it via CLI by just using the package name:
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```bash
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ctd-tools
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seasenselib
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```
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The various features of the tool can be executed by using different commands. To invoke a command, simply append
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it as an argument to the program call via CLI (see following example section for some examples). The
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program and each command, just run it with the `--help` (or `-h`) argument:
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```bash
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ctd-tools --help
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seasenselib --help
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```
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To get help for a single command, add `--help` (or `-h`) argument after typing the command name:
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```bash
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ctd-tools convert --help
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seasenselib convert --help
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```
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## Example data
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In the `examples` directory of the [code repository on GitLab](https://gitlab.rrz.uni-hamburg.de/ifmeo-sea-practical/ctd-tools) you'll find example Seabird CNV files from real research cruises.
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In the `examples` directory of the [code repository](https://github.com/ocean-uhh/seasenselib) you'll find example files from real research cruises.
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- The file `sea-practical-2023.cnv` contains data from a vertical CTD profile (one downcast) with parameters `temperature`, `salinity`, `pressure`, `oxygen`, `turbidity`.
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- The file `denmark-strait-ds-m1-17.cnv` contains data from an instrument moored over six days in a depth of around 650 m with parameters `temperature`, `salinity`, `pressure`.
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Use the following command to convert a CNV file to a netCDF file:
As you can see, format detection works for this command via file extension (`.nc` for netCDF or `.csv` for CSV), but you can also specify it via argument `--format` (or `-f`).
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are not known of our program or the `pycnv` library which we're using. If you get an error due to missing parameters while converting or if you miss parameters during further data processing, e.g. something essential like the temperature, then a parameter mapping might be necessary. A parameter mapping is performed with the argument `--mapping` (or `-m`), which is followed by a list of mapping pairs separated with spaces. A mapping pair consists of a standard parameter name that we use within the program and the corresponding name of the column or channel from the Seabird CNV file. Example for a mapping which works for the example above:
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About CTD Tools
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About SeaSenseLib
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===============
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CTD Tools is a Python library for reading, converting, and plotting oceanographic sensor data from various instruments and formats. The package is designed to work seamlessly with data from moored instruments and CTD profiles, supporting multiple file formats commonly used in oceanographic research.
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SeaSenseLib is a Python library for reading, converting, and plotting oceanographic sensor data from various instruments and formats. The package is designed to work seamlessly with data from moored instruments and CTD profiles, supporting multiple file formats commonly used in oceanographic research.
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**Key Features:**
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**Project Goals:**
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CTD Tools aims to simplify the process of working with oceanographic sensor data by providing:
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SeaSenseLib aims to simplify the process of working with oceanographic sensor data by providing:
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1. **Standardized Data Access**: Convert proprietary formats to standard xarray Datasets
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2. **Consistent API**: Uniform interface across different instrument types
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3. **CF Convention Support**: Ensure output data follows Climate and Forecast metadata conventions
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4. **Research Reproducibility**: Enable easy sharing and reprocessing of oceanographic datasets
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5. **Educational Use**: Provide tools suitable for teaching oceanographic data analysis
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**Who Should Use CTD Tools:**
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**Who Should Use SeaSenseLib:**
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* Oceanographic researchers working with CTD and mooring data
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* Students learning oceanographic data analysis
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**Community and Support:**
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CTD Tools is developed and maintained by the oceanographic community. We welcome contributions, bug reports, and feature requests through our GitHub repository.
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SeaSenseLib is developed and maintained by the oceanographic community. We welcome contributions, bug reports, and feature requests through our GitHub repository.
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