fixed typo in highlight_intervals

.gitignore

@@ -20,3 +20,4 @@ __pycache__
 *.png
 
 *.ipynb
+/doc_build

CITATION.cff

@@ -1,4 +1,4 @@
-cff-version: 1.2.1
+cff-version: 1.2.2.0
 message: "If you use this software, please cite it as below."
 authors:
   - family-names: "Khider"
@@ -33,7 +33,7 @@ authors:
 
 
 title: "Pyleoclim: A Python package for the analysis and visualization of paleoclimate data"
-version: v1.2.1
+version: v1.2.2
 doi: 10.5281/zenodo.1205661
-date-released: 2025-07-09
+date-released: 2026-02-12
 url: "https://github.com/LinkedEarth/Pyleoclim_util"

README.md

@@ -21,7 +21,7 @@ There are many entry points to Pyleoclim, thanks to its underlying [data structu
 
 We've worked hard to make Pyleoclim accessible to a wide variety of users, from establisher researchers to high-school students, and from seasoned Pythonistas to first-time programmers. A progressive introduction to the package is available at [PyleoTutorials](http://linked.earth/PyleoTutorials/). Examples of scientific use are given [this paper](https://doi.org/10.1029/2022PA004509).  A growing collection of research-grade workflows using Pyleoclim and the LinkedEarth research ecosystem are available as Jupyter notebooks on [paleoBooks](http://linked.earth/PaleoBooks/), with video tutorials on the LinkedEarth [YouTube channel](https://www.youtube.com/watch?v=LJaQBFMK2-Q&list=PL93NbaRnKAuF4WpIQf-4y_U4lo-GqcrcW). Pyleoclim is part of the broader Python ecosystem of [Computational Tools for Climate Science](https://neuromatch.io/computational-tools-for-climate-science-course/).  Python novices are encouraged to follow these [self-paced tutorials](http://linked.earth/LeapFROGS) before trying Pyleoclim.
 
-Science-based training materials are also available from the [paleoHackathon repository](https://github.com/LinkedEarth/paleoHackathon). We also run live training workshops every so often. Follow us on [Twitter](https://twitter.com/Linked_Earth), or join our [Discourse Forum](https://discourse.linked.earth) for more information.
+Science-based training materials are also available from the [paleoHackathon repository](https://github.com/LinkedEarth/paleoHackathon). We also run live training workshops every so often. Follow us on [Twitter](https://x.com/Linked_Earth), or join our [Discourse Forum](https://discourse.linked.earth) for more information.
 
 ### Versions
 
@@ -33,17 +33,18 @@ Online documentation is available through [readthedocs](https://pyleoclim-util.r
 
 ### Dependencies
 
-pyleoclim **only** supports Python 3.11
+pyleoclim supports Python 3.11 and 3.12 but has only been tested with 3.12 recently.
 
 ### Installation
 
 The latest stable release is available through Pypi. We recommend using Anaconda or Miniconda with a dedicated environment. Full installation instructions are available in the [package documentation](https://pyleoclim-util.readthedocs.io/en/latest/installation.html)
 
 ## Citation
-If you use our code in any way, please consider adding these citations to your publications:
+If you use our code in any way, please consider adding this citation to your publications:
 
 - Khider, D., Emile-Geay, J., Zhu, F., James, A., Landers, J., Ratnakar, V., & Gil, Y. (2022). Pyleoclim: Paleoclimate timeseries analysis and visualization with Python. Paleoceanography and Paleoclimatology, 37, e2022PA004509. https://doi.org/10.1029/2022PA004509
-- Khider, Deborah, Emile-Geay, Julien, Zhu, Feng, James, Alexander, Landers, Jordan, Kwan, Myron, & Athreya, Pratheek. (2022). Pyleoclim: A Python package for the analysis and visualization of paleoclimate data (v0.9.1). Zenodo. https://doi.org/10.5281/zenodo.7523617
+
+To cite the current version of the software, please use the [`citation.cff` file](https://github.com/LinkedEarth/Pyleoclim_util/blob/master/CITATION.cff). To cite older version of the software, please refer to the [Zenodo releases](https://zenodo.org/records/15858384).
 
 ### Development
 
@@ -62,4 +63,4 @@ If you use the code in publications, please credit the work using the citation f
 
 This material is based upon work supported by the National Science Foundation under Grant Number ICER-1541029. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the investigators and do not necessarily reflect the views of the National Science Foundation.
 
-This research is funded in part by JP Morgan Chase & Co. Any views or opinions expressed herein are solely those of the authors listed, and may differ from the views and opinions expressed by JP Morgan Chase & Co. or its affilitates. This material is not a product of the Research Department of J.P. Morgan Securities LLC. This material should not be construed as an individual recommendation of for any particular client and is not intended as a recommendation of particular securities, financial instruments or strategies for a particular client. This material does not constitute a solicitation or offer in any jurisdiction.
+This research is funded in part by JP Morgan Chase & Co. Any views or opinions expressed herein are solely those of the authors listed, and may differ from the views and opinions expressed by JP Morgan Chase & Co. or its affiliates. This material is not a product of the Research Department of J.P. Morgan Securities LLC. This material should not be construed as an individual recommendation of for any particular client and is not intended as a recommendation of particular securities, financial instruments or strategies for a particular client. This material does not constitute a solicitation or offer in any jurisdiction.

doc_build/LR04_benthic_stack.csv

@@ -1,5 +1,5 @@
 ###,Series metadata
-written by,Pyleoclim 0.12.1b0
+written by,Pyleoclim 1.2.1b0
 time_unit,ky BP
 time_name,Age
 value_unit,‰