DataLabICB

Python tools for loading, manipulating, and analyzing datasets used in the ICB laboratory.
This package provides:

compressed datasets (.json.gz)
a simple interface to load them (Datasets)
utility functions (chemistry)

Installation

pip install datalabicb

Usage

from DataLabICB.chemistry import Datasets

datasets = Datasets()

Absorptions datasets

dfs = datasets.adsorption_data()

Isotherms datasets

dfs = datasets.isotherms()

Isobars datasets

dfs = datasets.isobars()

Heats of adsorption datasets

dfs = datasets.heat_of_adsorption()

dfs[n].attrs('comments') contains the characteristics of each dataset

DOI

https://dx.doi.org/doi:10.25666/DATAUBFC-2026-01-07

Licenses

Code : Under license MIT.
Data : Under licence CC BY-NC-ND 4.0. please refer to the LICENSE-DATA file.

Metadata

Release files for DataLabICB 0.1.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for DataLabICB 0.1.3
File	Size	Uploaded	Provenance
datalabicb-0.1.3.tar.gz	1.4 MB	Jan 20, 2026	Without provenance	Details

Built distribution (wheel)

Table of built distributions (wheels) for DataLabICB 0.1.3
File	Interpreter	ABI	Platform	Reset
datalabicb-0.1.3-py3-none-any.whl 1.5 MB Jan 20, 2026 Without provenance	Python 3	none	any	Details

Total release size: 2.9 MB

Release files / datalabicb-0.1.3.tar.gz

Download URL	datalabicb-0.1.3.tar.gz
Size	1.4 MB
Tags	Source
SHA-256 checksum How to use checksums	`84fe0c401fe5263b01208740e33e5f6beccd2fe6849d375d2563d605da937e52`
BLAKE2b-256 checksum How to use checksums	`0775f739b2efc6c7c75a0553a19bc05594d741ff24f67e9c176e07201aff9ee7`
Upload date	Jan 20, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.11.2`

Release files / datalabicb-0.1.3-py3-none-any.whl

Download URL	datalabicb-0.1.3-py3-none-any.whl
Size	1.5 MB
Tags	Python 3
SHA-256 checksum How to use checksums	`615e816fe80cff3f545cccfe99df4de070b4588ea11a6953ab684ddc629d4046`
BLAKE2b-256 checksum How to use checksums	`64a2c0af1712c36fd5d2c6f75cf094363f7829739b2bd9966baed5fb0d3bfe2d`
Upload date	Jan 20, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.11.2`

Security for DataLabICB 0.1.3

Report project as malware

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.1.3 This release

Jan 20, 2026 2 release files No provenance

DataLabICB 0.1.3