Episodic ABF analysis

Name: Episodic ABF analysis
Published: 2024-06-04
License: https://opensource.org/license/bsd-3-clause/

Open this dataset in the live repository

Important usage condition: Use and redistribution are governed by BSD-3. Review and comply with the license before using the data.

Persistent identifier: doi:10.60507/FK2/LBX1UB
Published version: 2.0
Publication date: 2024-06-04
License: BSD-3

Description

A tool to view and analyze episodic electrophysiology data. Supported files: abf, certain LabChart files and Eventer output. Includes a converter to allow csv import. Included analysis operations: Batch analysis Baseline correction

Creators

Rabenstein, Michael

Keywords

Analysis, Electrophysiology, Neuroscience, Patch clamp, Physiology

Files

Before downloading: Use and redistribution are governed by BSD-3. Review and comply with the license before using the data.

File	Type	Bytes	Checksum
.gitkeep	application/octet-stream	0	MD5 d41d8cd98f00b204e9800998ecf8427e
Episodic_ABF_analysis_MyAppInstaller_web.exe	application/x-msdownload	6199808	MD5 398ca5a17449c89153a97dd310c0f790
Episodic_ABF_analysis_exported.m	text/plain	392537	MD5 6b9509d9f0910134651e4a850be27ed8
LICENSE	text/plain; charset=US-ASCII	1505	MD5 4895e2c7a9d7f8849f2948f05d10c883
Episodic_ABF_analysis.mlapp	application/octet-stream	406605	MD5 171086bec822dda963e56194200db98d
abfload.m	text/x-matlab	57920	MD5 5a3fb8fe675fb66ed8f0b655395c065c
abfload_License.txt	text/plain	1368	MD5 9bef665dd1f26f9d528959d20a0bdc68
CSV_Converter_Episodic_ABF_analysis_exported.m	text/plain	20367	MD5 cbf709569509a59102f1514992895a71
Episodic_ABF_analysis_manual_v6.pdf	application/pdf	1812491	MD5 e14db269bbe02a99603956ad702174ba
CSV_Converter_Episodic_ABF_analysis.mlapp	application/octet-stream	50347	MD5 95cf5ce04d7ed2cda4374e9d6f890689
README.md	text/markdown	1914	MD5 39f28bcbeb2fb87221b26de7823322ce

Citation

Rabenstein, Michael, 2024-06-04, Episodic ABF analysis, doi:10.60507/FK2/LBX1UB, V2.0

Additional Dataverse fields

Id	792
Dataset Type	dataset
Internal Version Number	7
Latest Version Publishing State	RELEASED
Release Time	2026-07-29T14:09:51Z
Create Time	2026-07-29T13:46:49Z
Citation Date	2024-06-04
File Access Request	True

Export metadata

Static metadata exports available for this published dataset version:

Complete Dataverse metadata

Citation Metadata

Title title

Episodic ABF analysis

Subtitle subtitle

A tool to view and analyze episodic electrophysiology data

Alternative URL alternativeURL

https://gitlab.uni-bonn.de/grp_episodic-abf-analysis/episodic-abf-analysis/-/releases/Software-code-added-as-ASCII-files

Author author

Author Name
Rabenstein, Michael
Author Affiliation
Institute for Physiology II, University of Bonn
Author Identifier Scheme
ORCID
Author Identifier
Type Name
authorIdentifier
Multiple
False
Type Class
primitive
Value
https://orcid.org/0000-0001-7712-224X
Expandedvalue
Person Name
Rabenstein, Michael
@id
https://orcid.org/0000-0001-7712-224X
Scheme
ORCID
@type
https://schema.org/Person

Dataset Contact datasetContact

Dataset Contact Name
Rabenstein, Michael
Dataset Contact Affiliation
Institute for Physiology II, University of Bonn
Dataset Contact Email
michael.rabenstein@ukbonn.de

Ds Description dsDescription

Ds Description Value
A tool to view and analyze episodic electrophysiology data. Supported files: abf, certain LabChart files and Eventer output. Includes a converter to allow csv import. Included analysis operations: Batch analysis Baseline correction

Subject subject

Medicine, Health and Life Sciences

Free Keyword freeKeyword

Free Keyword Value
Analysis
Free Keyword Value
Electrophysiology
Free Keyword Value
Neuroscience
Free Keyword Value
Patch clamp
Free Keyword Value
Physiology

Language language

English

Producer producer

Producer Name
Stein lab
Producer Affiliation
Institute for Physiology II, University of Bonn
Producer URL
https://www.physiologie.uni-bonn.de/en/physiology?set_language=en

Production Place productionPlace

Institute for Physiology II, University of Bonn

Contributor contributor

Contributor Type
Project Leader
Contributor Name
Stein, Valentin

Depositor depositor

Rabenstein, Michael

Date Of Deposit dateOfDeposit

2024-05-23

Kind Of Data kindOfData

Matlab app (code and compiled version)

Software software

Software Name
Matlab
Software Version
2024a

Software Metadata (CodeMeta v2.0)

Code Version codeVersion

6.0

Development Status developmentStatus

Active

Code Repository codeRepository

https://gitlab.uni-bonn.de/grp_episodic-abf-analysis/episodic-abf-analysis

Application Category applicationCategory

Analysis

Programming Language programmingLanguage

Matlab 2024a

Operating System operatingSystem

Windows 11
Mac (not tested)
Linux (not tested)

Software Requirements Item softwareRequirementsItem

Software Requirements
Matlab 2024a (lower version may work as well)
Software Requirements Info Url
https://www.mathworks.com/products/matlab.html
Software Requirements
Matlab Runtime R2024a (24.1)
Software Requirements Info Url
https://www.mathworks.com/products/compiler/matlab-runtime.html

Readme readme

https://gitlab.uni-bonn.de/grp_episodic-abf-analysis/episodic-abf-analysis/-/blob/main/README.md

Issue Tracker issueTracker

https://gitlab.uni-bonn.de/grp_episodic-abf-analysis/episodic-abf-analysis/-/issues

Expected crawler behaviour

Use a stable, truthful User-Agent with product/version and a working contact URL. Across all IP addresses and HTTP connections used by one crawler identity, allow no more than 5 requests in flight and wait at least 20 seconds between request starts. Crawl URLs listed in the catalog sitemap, including file pages and download URLs when they are published, use conditional requests, honor Retry-After, and apply exponential backoff after errors.

The welcome page may link to the interactive repository for human navigation. Automated clients must not treat that human link as a catalog crawl target.

Read the live machine-readable crawler policy before and during a crawl. Stop crawling when it reports CPU or memory utilization at or above 80% and 80% respectively.