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
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-2.0.0.tar.gz
(21.5 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-2.0.0.tar.gz.
File metadata
- Download URL: esrf_ontologies-2.0.0.tar.gz
- Upload date:
- Size: 21.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
706134fc560379d18efea25c39530e7b08d644175e7a077dd7b7dad207ed1d6a
|
|
| MD5 |
edbcf58c18a65865a7c2afd97efb7bf4
|
|
| BLAKE2b-256 |
d995eae304fcdb6d903e650ca9a57a87dc4cf7267bc4d592f45acc47030c6238
|
File details
Details for the file esrf_ontologies-2.0.0-py3-none-any.whl.
File metadata
- Download URL: esrf_ontologies-2.0.0-py3-none-any.whl
- Upload date:
- Size: 22.7 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 |
0af5e07f849ebbdc9e45b950117d846224f1ebda1f10517ee1a786dfe3272a8b
|
|
| MD5 |
1cd3ef19a1ad764ef9bc8daf465f321b
|
|
| BLAKE2b-256 |
3fec134aa97549c0db7a3a55c3b329fbdca212ec7406ef39df07e723eebe7dea
|
