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IOSACal: v0.5.1

Costa, Stefano; Håkansson, Karl; Weatherbee, Wesley


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    "description": "<p>IOSACal is an open source program for calibration of radiocarbon dates.</p>\n\n<p>This release brings the new IntCal20 calibration data and several improvements for different use cases, plus one important bug fix.</p>\n\n<ul>\n\t<li>the project has moved to <strong>Codeberg</strong> for source code hosting and issue tracking. The new Git repository is at <a href=\"https://codeberg.org/steko/iosacal\">https://codeberg.org/steko/iosacal</a> with a default branch name of <em>main</em></li>\n\t<li>there is an official <strong>Code of Conduct</strong> that all contributors (including the maintainter) will need to follow</li>\n\t<li>the documentation has seen some improvements, in particular in the <em>Contributing</em> section. Overall, making contributions easier from both expert and novice users is a major theme in this release.</li>\n\t<li>interactive use in Jupyter notebooks is made easier with CalibrationCurve that can be created in many ways (such as loading from an arbitrary file, or from a standard calibration curve called by shorthand)</li>\n\t<li>fixed a bug that made plots with AD/CE setting incorrect (contributed by Karl H&aring;kansson)</li>\n\t<li>fixed a bug that caused a wrong plot density function for dates 80 BP to 0 BP (contributed by Karl H&aring;kansson)</li>\n\t<li>add IntCal20 calibration data (contributed by Wesley Weatherbee)</li>\n</ul>\n\n<p>On the technical side:</p>\n\n<ul>\n\t<li>the command line interface is now based on the Click library</li>\n\t<li>most code is now covered by tests, based on pytest</li>\n\t<li>Python 3.6 or above required</li>\n\t<li>requires Numpy 1.18 and Matplotlib 3.0</li>\n</ul>\n\n<p>&nbsp;</p>", 
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