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-1.3.0.tar.gz
(20.1 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-1.3.0.tar.gz.
File metadata
- Download URL: esrf_ontologies-1.3.0.tar.gz
- Upload date:
- Size: 20.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
be7fd9582728fea90ace07e87e866c604a55c1aea957d69ce0a4e2ef27d07ac4
|
|
| MD5 |
ca543f3ccf99a97a24a32bee076b610c
|
|
| BLAKE2b-256 |
a4cef7bc153d0b7489bd11618b764073854de299cd3bcbab9750a7c9f2687401
|
File details
Details for the file esrf_ontologies-1.3.0-py3-none-any.whl.
File metadata
- Download URL: esrf_ontologies-1.3.0-py3-none-any.whl
- Upload date:
- Size: 21.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0ce5167f37745349bb59914c3203c18da112545b06090a47b7673f9803cb59fb
|
|
| MD5 |
5c6f8e753427207c172712e1f845144b
|
|
| BLAKE2b-256 |
bc88185edd111a18312521a2cb96e3fcab217e760cbb8bf8a469703077ae2eb2
|