# xlum-python <img width=120px src="docs/img/xlum-python_logo.png" align="right" />
Python importer for the [XLUM data exchange and archive format](https://github.com/R-Lum/xlum_specification)
## System requirements
- lxml https://pypi.org/project/lxml/
- pandas https://pandas.pydata.org/
- urllib3 https://urllib3.readthedocs.io/en/stable/
- openpyxl https://openpyxl.readthedocs.io/en/stable/
- Access to GitHub for XSD schema validation
## Installation
```console
$ pip install xlum
```
## Usage
```python
import xlum
meta_obj = xlum.importer.from_xlum(file_name="<Path to Xlum>")
```
## Citing
```
@Article{gchron-2022-27,
AUTHOR = {Kreutzer, S. and Grehl, S. and H\"ohne, M. and Simmank, O. and Dornich, K. and Adamiec, G. and Burow, C. and Roberts, H. and Duller, G.},
TITLE = {XLUM: an open data format for exchange and long-term data preservation of luminescence data},
JOURNAL = {Geochronology Discussions},
VOLUME = {2022},
YEAR = {2022},
PAGES = {1--22},
URL = {https://gchron.copernicus.org/preprints/gchron-2022-27/},
DOI = {10.5194/gchron-2022-27}
}
```
## Funding
The development of the XLUM-format as format basis for reference data was supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 844457 [CREDit](https://cordis.europa.eu/project/id/844457)).
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