Awesome
<a href="https://github.com/mingsongli/acycle"> <img src="https://github.com/mingsongli/acycleFig/blob/master/default_icon_1024-git.gif" alt="homepage" title="Acycle GitHub homepage"> </a>Acycle is a time-series analysis software for research and education
Website: acycle.org
Highlights
- A fully implemented graphical user interface (GUI) facilitates operator use
- Acycle runs either in the MATLAB environment or as a stand-alone application on Mac and Windows
Please cite
- Mingsong Li, Linda A. Hinnov, Lee R. Kump, 2019. Acycle: Time-series analysis software for paleoclimate research and education. Computers & Geosciences. 127: 12-22. https://doi.org/10.1016/j.cageo.2019.02.011.
Wiki: Table of Content
- Getting Started <br>
- Read More
What they say
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Dr. James G. Ogg (Purdue University, USA):
"His Acycle software will become the standard tool for time-scale applications by all international workers."<br>
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Dr. J. Fred Read (Virginia Tech, USA):
"It is truly an amazing contribution to the geosciences community. As someone who has spent much of the last 50 years trying to understand cyclic carbonates on shallow platforms, and having been involved with my students in some of the early work on stratigraphic modelling of the effects of Milankovitch forcing of carbonate platform stratigraphy, I was blown away by the power of the Acycle software. ... You should all feel very proud of this contribution. It opens up much needed access to these powerful tools for a wide audience in the sedimentary geology and paleoclimate community. Thanks again for all your efforts. A really marvellous job."<br>
Has been used in
- Li, M., Hinnov, L.A., Huang, C., Ogg, J.G., 2018. Nature Commun. https://doi.org/10.1038/s41467-018-03454-y
- Shi, J., Jin, Z., Liu, Q., Zhang, R., Huang, Z., 2019. Glob. Planet. Change 174, 115-126. https://doi.org/10.1016/j.gloplacha.2019.01.001
- Kochhann, M.V.L., Cagliari, J., Kochhann, K.G.D., Franco, D.R., 2020. Geochemistry, Geophysics, Geosystems, https://doi.org/10.1029/2019GC008676
- Read More
Download
<a href="https://www.dropbox.com/sh/t53vjs539gmixnm/AAC0BqTR0U5xghKwuVc1Iwbma?dl=0"> <img src="https://github.com/mingsongli/acycleFig/blob/master/dropbox-logo.png" alt="Dropbox" title="Download Acycle in Dropbox" width="88" height="88"> </a> <a href="https://1drv.ms/u/s!AuOnvtrY8aRzhG17NCoXG14eOVIS"> <img src="https://github.com/mingsongli/acycleFig/blob/master/microsoft-onedrive.png" alt="OneDrive" title="Download Acycle in OneDrive" width="88" height="88"> </a> <a href="https://pan.baidu.com/s/1D2iISOOhoYCUvMg9csKKTg"> <img src="https://github.com/mingsongli/acycleFig/blob/master/Baidu-logo.png" alt="Baidu Cloud" title="Download Acycle in Baidu Cloud" width="88" height="88"> </a> <a href="https://github.com/mingsongli/acycle/archive/master.zip"> <img src="https://github.com/mingsongli/acycleFig/blob/master/github-icon-for-resume-14.jpg" alt="GitHub" title="Download Acycle in GitHub" width="88" height="88"> </a>Contact
<a href="http://faculty.pku.edu.cn/li/en"> <img src="https://github.com/mingsongli/acycleFig/blob/master/WechatIMG17.jpeg" alt="http://faculty.pku.edu.cn/li/en" title="Mingsong Li homepage" width="100" height="100"> </a> <br> Mingsong Li, Peking University. Oct. 16, 2023 <br> E-mail: <i> msli {at} pku.edu.cn; limingsonglms {at} gmail.com </i> <br><br>Website: https://acycle.org/
<a href="https://scholar.google.com/citations?user=NYUXDW0AAAAJ&hl=en&inst=4855597776033322861"> <img src="https://github.com/mingsongli/acycleFig/blob/master/google-scholar-icon-1.jpg" alt="Google Scholar" title="Google Scholar homepage" width="48" height="48"> </a> <a href="https://www.researchgate.net/profile/Mingsong_Li"> <img src="https://github.com/mingsongli/acycleFig/blob/master/RG.jpeg" alt="ResearchGate" title="Mingsong Li ResearchGate homepage" width="48" height="48"> </a> <a href="https://www.linkedin.com/in/mingsongli/"> <img src="https://github.com/mingsongli/acycleFig/blob/master/LinkedIn-icon.png" alt="linkedin" title="Mingsong Li linkedin" width="48" height="48"> </a> <a href="https://github.com/mingsongli/"> <img src="https://github.com/mingsongli/acycleFig/blob/master/github-icon-for-resume-14.jpg" alt="GitHub" title="Mingsong Li GitHub homepage" width="48" height="48"> </a> <a href="https://www.mingsongli.com/acycle"> <img src="https://github.com/mingsongli/acycleFig/blob/master/homepage.png" alt="Mingsong Li" title="Acycle homepage" width="48" height="48"> </a> <a href="https://github.com/mingsongli/acycle/wiki"> <img src="https://github.com/mingsongli/acycleFig/blob/master/wiki-ch.jpg" alt="wiki" title="Acycle Wiki" width="48" height="48"> </a><br><br>
<b>
Please give it a " ⭐️ Star" if you like this software 😁 🌹. (top right corner of this page)
Abstract
- Acycle is a comprehensive, but "user-friendly" software package for analysis of time-series designed for (but not limited to) climate research and education.
- Acycle runs either in the MATLAB environment or as a stand-alone application on Mac and Windows.
- It is an open-source package and is available free of charge.
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Acycle provides data preparation tools, curve fitting, detrending procedures with multiple options available to track or remove secular trends, and integrates various power spectral analysis approaches for detection and tracking of periodic signals.
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Acycle also provides a toolbox that evaluates astronomical signals in climate series and estimates the most likely sedimentation rate by maximizing the correlation coefficient between power spectra of an astronomical solution and a paleoclimate series.
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Many of the functions are specific to paleoclimatology and cyclostratigraphy and are not found in standard, statistical packages.
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Acycle Graphical User Interface (GUI)
Acycle menu
Acycle insolation toolbox
Mean insolation map from March 21 to Sept. 23 for the past 100 kyr (1-100) at 50-80°N using the Laskar et al. (2004) solutions. The calculate uses a solar constant of 1365 w/m^2.
Evolutionary FFT of the astronomical solution.
2π multi-taper method power spectrum of the gamma ray series is shown with 20%
median-smoothed spectrum, background AR(1) model, and 90%, 95%, 99%, and 99.9% confidence levels.
Examples #1 Curve fitting | detrending | smoothing
Examples #2 Power spectral analysis
Examples #3 Evolutionary power spectral analysis and Wavelet analysis
Examples #4 COCO of sedimentation rate evaluation
Examples #5 eCOCO of sedimentation rate evaluation
Examples #6 Filtering
Examples #7 Tuning
Examples #8 DYNOT sedimentary noise model
Examples #9 Smoothed bootstrap
Examples #10 Coherence and phase
Examples #11 Plot Pro
Examples #12 Image profile
Examples #13 Plot Digitizer
Wiki: Table of Content
1. Copyright <br> 2. References <br>
3. Getting Started <br>
- 3.1 System requirements <br>
- 3.2 Downloading <br>
- 3.3 MatLab version <br>
- 3.4 Mac version <br>
- 3.5 Windows version <br>
- 3.6 Data requirement <br>
4. Graphical User Interface <br>
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4.2 File <br>
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4.3 Edit <br>
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4.4 Plot <br>
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4.5 Basic Series <br>
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Examples <br>
Frequently Asked Questions <br>
Acknowledgements
What they say
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Dr. J. Fred Read (Virginia Tech, USA)
I am writing to express my appreciation for all the hard work and thought that has gone into the development of the Acycle software program. It is truly an amazing contribution to the geosciences community. As someone who has spent much of the last 50 years trying to understand cyclic carbonates on shallow platforms, and having been involved with my students in some of the early work on stratigraphic modelling of the effects of Milankovitch forcing of carbonate platform stratigraphy, I was blown away by the power of the Acycle software.
In the old days we used in house programs from our geophysicist Cahit Coruh, and recently I have used Analyseries, kSpectra and Timefrq43, moving from Dos to Windows to Mac, jumping from one to the other to get the job done. Acycle has done away with the need for this, and I have been impressed with how very user friendly the program is – an indication of the tremendous effort and thought that has gone into putting this together.
You should all feel very proud of this contribution. It opens up much needed access to these powerful tools for a wide audience in the sedimentary geology and paleoclimate community. Thanks again for all your efforts. A really marvellous job.
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Dr. James Ogg (Purdue University, USA):
"Mingsong Li's Acycle software enables us to quickly analyze the potential of new outcrops and boreholes, and then to determine the sedimentation rates and elapsed time. His _Acycle_ software will become the standard tool for time-scale applications by all international workers."
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Dr. Paul E. Olsen (Columbia University, USA):
Not only is this software powerful and effective, it is also simple to use and therefore benefits researchers and at all levels within the paleoclimatology community, from novices to experts.
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Dr. Arsenio Muñoz Jiménez (University of Zaragoza, Spain):
"Thank you very much and congratulations for the acycle software. I am using it and it is very very useful and interesting."
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Dr. Marco Franceschi (University of Padova, Italy):
Dr. Li’s software is being immensely valuable to my work. Some of the stratigraphic series I am studying display a prominent cyclicity, but were deposited in contexts characterized by relevant changes in sedimentation rates and often lack accurate geochronological constraints. Acycle has been designed specifically for dealing with similar cases, by tackling them with a rigorous statistical approach, and therefore is providing an invaluable tool for their investigation.
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Dr. Xu Yao (Lanzhou University, China):
I am working on cyclostratigraphy and paleoclimate study of ancient strata and rocks (270 million years ago) with assistance from Acycle software. I also introduced this software to my colleagues whose research areas are paleoclimate implications of Quaternary loess (several thousand years ago). My colleagues have given me really good feedbacks about Acycle software.
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Dr. Christian Zeeden (IMCCE, Observatoire de Paris, France):
Dr. Li’s software is novel and valuable in this context, especially because it facilitates the easy application of otherwise complex calculations.
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Dr. Nicolas R. Thibault (University of Copenhagen, Denmark):
"I’ve been playing a lot with the excellent Acycle package for Matlab that Mingsong developed. Congratulations, this is a very nice interface that simplifies a lot our work and makes it truly faster to analyse a time-series."
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Dr. Frits Hilgen (Utrecht University, Netherlands):
"I used it this academic year for the first time in my MSc course on Astronomical climate forcing and time scales as replacement of the outdated Analyseries program. The main advantages of Acycle is that it is very user friendly, has a lot of different options for the statistical analysis of paleoclimate records and in addition first-rate plotting options. For instance you can directly see the trend that you aim to remove and then decide whether you want to continue with it. It is further also very good to see the fast and almost continuous improvement of Acycle, including the processing of reported bugs. And, not unimportantly, also my students were very enthusiastic about Acycle and I now use it now for my own research as well!"
Acycle has been used in
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1. Li, M., Hinnov, L.A., Huang, C., Ogg, J.G., 2018. Sedimentary noise and sea levels linked to land–ocean water exchange and obliquity forcing. Nature communications 9, 1004. https://doi.org/10.1038/s41467-018-03454-y
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2. Li, M., Kump, L.R., Hinnov, L.A., Mann, M.E., 2018. Tracking variable sedimentation rates and astronomical forcing in Phanerozoic paleoclimate proxy series with evolutionary correlation coefficients and hypothesis testing. Earth and Planetary Science Letters 501, 165-179. https://doi.org/10.1016/j.epsl.2018.08.041
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3. Chen, G., Gang, W., Liu, Y., Wang, N., Guo, Y., Zhu, C., Cao, Q., 2019. High-resolution sediment accumulation rate determined by cyclostratigraphy and its impact on the organic matter abundance of the hydrocarbon source rock in the Yanchang Formation, Ordos Basin, China. Marine and Petroleum Geology 103, 1-11. https://doi.org/10.1016/j.marpetgeo.2019.01.044
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4. Li, M., Huang, C., Ogg, J., Zhang, Y., Hinnov, L., Wu, H., Chen, Z.-Q., Zou, Z., 2019. Paleoclimate proxies for cyclostratigraphy: Comparative analysis using a Lower Triassic marine section in South China. Earth-Science Reviews. https://doi.org/10.1016/j.earscirev.2019.01.011
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5. Shi, J., Jin, Z., Liu, Q., Zhang, R., Huang, Z., 2019. Cyclostratigraphy and astronomical tuning of the middle eocene terrestrial successions in the Bohai Bay Basin, Eastern China. Global and Planetary Change 174, 115-126. https://doi.org/10.1016/j.gloplacha.2019.01.001
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6. Lu, Y., Huang, C., Jiang, S., Zhang, J., Lu, Y., Liu, Y., 2019. Cyclic late Katian through Hirnantian glacioeustasy and its control of the development of the organic-rich Wufeng and Longmaxi shales, South China. Palaeogeography, Palaeoclimatology, Palaeoecology. https://doi.org/10.1016/j.palaeo.2019.04.012
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7. Zhang, Y., Yi, L., Ogg, J.G., 2019. Pliocene-Pleistocene magneto-cyclostratigraphy of IODP Site U1499 and implications for climate-driven sedimentation in the northern South China Sea. Palaeogeography, Palaeoclimatology, Palaeoecology. https://doi.org/10.1016/j.palaeo.2019.04.030
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8. Zhang, R., Jin, Z., Liu, Q., Li, P., Huang, Z., Shi, J., Ge, Y., Du, K., 2019. Astronomical constraints on deposition of the Middle Triassic Chang 7 lacustrine shales in the Ordos Basin, Central China. Palaeogeography, Palaeoclimatology, Palaeoecology. https://doi.org/10.1016/j.palaeo.2019.04.030
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9. Zhao, K., Du, X., Lu, Y., Xiong, S., Wang, Y., 2019. Are light-dark coupled laminae in lacustrine shale seasonally controlled? A case study using astronomical tuning from 42.2 to 45.4 Ma in the Dongying Depression, Bohai Bay Basin, eastern China. Palaeogeography, Palaeoclimatology, Palaeoecology 528, 35-49. https://doi.org/10.1016/j.palaeo.2019.04.034
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10. Zhang, R., Li, L., Nai, W., Gu, Y., Huang, C., Ogg, J., Li, Q., Lu, C. and Wang, Z., 2019. Astronomical forcing of terrestrial climate recorded in the Pleistocene of the western Tarim Basin, NW China. Palaeogeography, Palaeoclimatology, Palaeoecology.
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11. Xu, K., Chen, H., Huang, C., Ogg, J.G., Zhu, J., Lin, S., Yang, D., Zhao, P. and Kong, L., 2019. Astronomical time scale of the Paleogene lacustrine paleoclimate record from the Nanxiang Basin, central China. Palaeogeography, Palaeoclimatology, Palaeoecology, 532, p.109253.
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12. ZHONG, Y., CHEN, D., FAN, J., WU, H., FANG, Q. and SHI, M., 2019. Cyclostratigraphic Calibration of the Upper Ordovician (Sandbian–Katian) Pagoda and Linhsiang Formations in the Yichang Area, South China. Acta Geologica Sinica‐English Edition, 93(S3), pp.177-180.
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13. Su, Q., Nie, J., Luo, Z., Li, M., Heermance, R. and Garzione, C., 2019. Detection of Strong Precession Cycles from the Late Pliocene Sedimentary Records of Northeastern Tibetan Plateau. Geochemistry, Geophysics, Geosystems.
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14. Oehlert, A.M. and Swart, P.K., Rolling Window Regression of δ13C and δ18O Values in Carbonate Sediments: Implications for Source and Diagenesis. The Depositional Record.
- Read More - Google Scholar citations
- And papers that may use COCO/eCOCO methods
Read more
- Official website: https://acycle.org <br>
- or here: https://github.com/mingsongli/acycle/blob/master/doc/AC_Users_Guide.pdf
- or here: Acycle "Help" menu - "Manual",
- or here:
/doc/AC_Users_Guide.pdf
<br><br>
<b>
Please give it a " ⭐️ Star" if you like this software 😁 🌹. (top right corner of this page)