From 32ac313e0808e559c29b81530f31e0789836cd09 Mon Sep 17 00:00:00 2001 From: Andrew Davison Date: Tue, 10 Sep 2024 14:32:28 +0200 Subject: [PATCH] update codemeta.json --- codemeta.json | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/codemeta.json b/codemeta.json index b575b7ed4..d08175d98 100644 --- a/codemeta.json +++ b/codemeta.json @@ -4,15 +4,15 @@ "license": "https://spdx.org/licenses/BSD-3-Clause", "codeRepository": "https://github.com/NeuralEnsemble/python-neo", "contIntegration": "https://github.com/NeuralEnsemble/python-neo/actions", - "dateModified": "2024-08-01", - "downloadUrl": "https://files.pythonhosted.org/packages/0f/16/4e22eb38621183d56acde0abbe591f15e79c6332e9ec360fc5db171b39ab/neo-0.13.2.tar.gz", + "dateModified": "2024-08-28", + "downloadUrl": "https://files.pythonhosted.org/packages/08/4b/c863c6bff783e94c92cb814f6ae821b35e6463c5a66e809b6864d0c66b4e/neo-0.13.3.tar.gz", "issueTracker": "https://github.com/NeuralEnsemble/python-neo/issues", "name": "Neo", - "version": "0.13.2", + "version": "0.13.3", "identifier": "RRID:SCR_000634", "description": "Neo is a Python package for working with electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats, including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, and support for writing to a subset of these formats plus non-proprietary formats including HDF5.\n\nThe goal of Neo is to improve interoperability between Python tools for analyzing, visualizing and generating electrophysiology data by providing a common, shared object model. In order to be as lightweight a dependency as possible, Neo is deliberately limited to represention of data, with no functions for data analysis or visualization.\n\nNeo is used by a number of other software tools, including SpykeViewer (data analysis and visualization), Elephant (data analysis), the G-node suite (databasing), PyNN (simulations), tridesclous_ (spike sorting) and ephyviewer (data visualization).\n\nNeo implements a hierarchical data model well adapted to intracellular and extracellular electrophysiology and EEG data with support for multi-electrodes (for example tetrodes). Neo's data objects build on the quantities package, which in turn builds on NumPy by adding support for physical dimensions. Thus Neo objects behave just like normal NumPy arrays, but with additional metadata, checks for dimensional consistency and automatic unit conversion.", "applicationCategory": "neuroscience", - "releaseNotes": "https://neo.readthedocs.io/en/stable/releases/0.13.2.html", + "releaseNotes": "https://neo.readthedocs.io/en/stable/releases/0.13.3.html", "funding": "https://cordis.europa.eu/project/id/945539", "developmentStatus": "active", "referencePublication": "https://doi.org/10.3389/fninf.2014.00010",