ESRF Ontologies
Project description
ESRF Ontologies
The ESRF Ontologies project provides ontologies related to ESRF data acquisition.
Ontologies:
- ESRFET is an ontology of experimental techniques used at the ESRF connected to the PaNET ontology.
Python API:
- Generate technique metadata for ESRF data producers to save in NeXus-compliant HDF5 and the ESRF data portal.
Getting started
Install from pypi
pip install esrf-ontologies
Retrieve technique metadata for one or more techniques
from esrf_ontologies import technique
technique_metadata = technique.get_technique_metadata("XAS", "XRF")
dataset_metadata = technique_metadata.get_dataset_metadata()
scan_metadata = technique_metadata.get_scan_metadata()
Documentation
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
esrf_ontologies-2.1.0.tar.gz
(21.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file esrf_ontologies-2.1.0.tar.gz.
File metadata
- Download URL: esrf_ontologies-2.1.0.tar.gz
- Upload date:
- Size: 21.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
17e56ee21d3fdb63d16873e65db55c5753fdf01549f9cfb9158ffecc6ea15ff6
|
|
| MD5 |
c5b36d5048de772410b7403d69bfa8e1
|
|
| BLAKE2b-256 |
4d56c9a42463e3e0af1818a2bf5b521896ae913250d82fd3b4ed7dc2596de083
|
File details
Details for the file esrf_ontologies-2.1.0-py3-none-any.whl.
File metadata
- Download URL: esrf_ontologies-2.1.0-py3-none-any.whl
- Upload date:
- Size: 23.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
79938adb51a82709d3743253c7fb5b544f82fc585d0d511b5f7d537053ee4789
|
|
| MD5 |
c0e5934ebb596f3c17def70b8875291a
|
|
| BLAKE2b-256 |
b988e8739ef175a649714c440e0b70f5a97347a9893f5b7e57243d0e14d34b62
|