Multi-component Inversion Recovery Analysis of Cortical Layers

A package for performing multi-component inversion recovery (IR) analysis of microstructural laminar patterns of the cortex.

Features

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

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

Source distribution for mcir 0.0.1
File	Size	Uploaded
mcir-0.0.1.tar.gz	11.4 kB	Nov 25, 2019	Details

Table of built distributions (wheels) for mcir 0.0.1
File	Interpreter	ABI	Platform	Reset
mcir-0.0.1-py2.py3-none-any.whl 5.3 kB Nov 25, 2019	Python 3, Python 2	none	any	Details

Total release size: 16.6 kB

Download URL	mcir-0.0.1.tar.gz
Size	11.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`a6a01b96eaabda0cc36b0cdaf862dae8b6edba2db731a1fa7c66f73127a219c4`
BLAKE2b-256 checksum How to use checksums	`d18bec1404c944232ad44923093306372d4f851932999847b2e903615a875dd6`
Upload date	Nov 25, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.1.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/3.7.0`

Download URL	mcir-0.0.1-py2.py3-none-any.whl
Size	5.3 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`9ca5593250e2174cb0e583f794f0d6eebd6171b448b2f1fba9584e03d161f71c`
BLAKE2b-256 checksum How to use checksums	`e3d7095e6a78d00d89f5558718ad40bb701669eb7416a8c21772cf6443ca87e9`
Upload date	Nov 25, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.1.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/3.7.0`

This release

0.0.1 This release