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--- public:index [2021/04/25 12:32] – till
+++ public:index [2024/12/22 23:18] (current) – [News] till
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 ~~NOTOC~~
-{{ :wiki:logo.png|}}
+{{ :wiki:logo.png?nolink|}}
 ====== ASpecD ======
 ASpecD -- //A//nalysis of //Spec//troscopic //D//ata
+[[https://doi.org/10.5281/zenodo.4717937|{{zenodo.4717937.png}}]]
 ASpecD is a **framework** for handling **spectroscopic data** focussing on **reproducibility**. In short: Each and every processing step applied to your data will be recorded and can be traced back. Additionally, for each representation of your data (//e.g.//, figures, tables) you can easily follow how the data shown have been processed and where they originate from.
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 What is even better: Actual data processing and analysis **no longer requires programming skills**, but is as simple as writing a text file summarising all the steps you want to have been performed on your dataset(s) in an organised way. Curious? Have a look at [[https://docs.aspecd.de/|its documentation]].
-[[https://doi.org/10.5281/zenodo.4717937|{{zenodo.4717937.png}}]]
+----
+<WRAP group centeralign>
+<WRAP quarter column>
+[[https://pypi.org/project/aspecd/|{{fa>cube?48}}]]
+[[https://pypi.org/project/aspecd/|Package (pypi.org)]]
+</WRAP>
+<WRAP quarter column>
+[[https://docs.aspecd.de/|{{fa>book?48}}]]
+[[https://docs.aspecd.de/|Documentation]]
+</WRAP>
+<WRAP quarter column>
+[[https://github.com/tillbiskup/aspecd|{{fa>github?48}}]]
+[[https://github.com/tillbiskup/aspecd|Source (GitHub)]]
+</WRAP>
+<WRAP quarter column>
+[[https://doi.org/10.1002/cmtd.202100097|{{fa>file-text?48}}]]
+[[https://doi.org/10.1002/cmtd.202100097|Publication]]
+</WRAP>
+</WRAP>
+----
+===== License and citation =====
+ASpecD is **free and open source** licensed under a [[.:license|BSD 2-clause license]]. However, if you use ASpecD for your own research, please cite both, the article describing it and the software itself:
+  * Jara Popp, Till Biskup. ASpecD: A Modular Framework for the Analysis of Spectroscopic Data Focussing on Reproducibility and Good Scientific Practice. //Chemistry–Methods// **2**:e202100097, 2022. [[https://doi.org/10.1002/cmtd.202100097|doi:10.1002/cmtd.202100097]]
+  * Till Biskup. ASpecD (2024). [[https://doi.org/10.5281/zenodo.4717937|doi:10.5281/zenodo.4717937]]
+===== News =====
+Note: The most up-to-date information can be found in the [[https://docs.aspecd.de/changelog.html|changelog]] included in the [[https://docs.aspecd.de/|package documentation]].
+  * 2024-12-22: **ASpecD v0.12.0 released**
+    * [[https://github.com/tillbiskup/aspecd/releases/tag/v0.12.0|Changelog (GitHub)]]
+  * 2024-10-17: **ASpecD v0.11.0 released**
+    * [[https://github.com/tillbiskup/aspecd/releases/tag/v0.11.0|Changelog (GitHub)]]
+  * 2024-08-13: **ASpecD v0.10.1 released**
+    * [[https://github.com/tillbiskup/aspecd/releases/tag/v0.10.1|Changelog (GitHub)]]
+  * 2024-08-11: :!: **New ASpecD-based package released: NMRAspecds v.0.1** :!:
+    * Fully reproducible analysis of **NMR data**
+    * [[https://www.nmraspecds.de|Website]], [[https://docs.nmraspecds.de/|Documentation]], [[https://github.com/MirjamSchr/nmraspecds|Source code (GutHub)]], [[https://zenodo.org/records/13294618|Zenodo publication]], [[https://pypi.org/project/nmraspecds/|Package (PyPI)]]
+  * 2024-08-10: **ASpecD v0.10.0 released**
+    * [[https://github.com/tillbiskup/aspecd/releases/tag/v0.10.0|Changelog (GitHub)]]
+  * 2024-07-22: **ASpecD v0.9.3 released**
+    * [[https://github.com/tillbiskup/aspecd/releases/tag/v0.9.3|Changelog (GitHub)]]
+  * 2024-01-13: **ASpecD v0.9.0 released**
+    * [[https://github.com/tillbiskup/aspecd/releases/tag/v0.9.0|Changelog (GitHub)]]
+  * 2023-09-08: **ASpecD v0.8.3 released**
+    * [[https://github.com/tillbiskup/aspecd/releases/tag/v0.8.3|Changelog (GitHub)]]
+  * 2023-03-26: **ASpecD v0.8.0 released**
+    * [[https://github.com/tillbiskup/aspecd/releases/tag/v0.8.0|Changelog (GitHub)]]
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------
+----
-**A word on technology:** This page uses JavaScript for some display options (footnotes, literature, index on the left margin).
+**A note on the logo:** The snake (obviously a python, look at how it’s holding the magnifying glass) is well familiar with the scientific method and illustrates the basic idea of the ASpecD framework: reproducible data analysis. The copyright of the logo belongs to J. Popp.