Gallery#
PaleoBooks is a compendium of digital resources to bridge the gap between paleoclimate observations and models, and between past, present and future. The goal is as much to encourage adoption of open-source, free languages like R and Python by the observational paleoscience community as it is to encourage the modeling community to leverage the unique information coming from paleo archives.
The scholarly objects shown below are of several types:
Tutorials on how to overcome a particular technical difficulty (“Life Hacks”)
Tutorials on how to leverage open-source code to achieve easier, more transparent, or more powerful scientific workflows (“Science Bits”)
Examples of novel paleoscience using the Python ecosystem e.g. as turn-key supplementary material from recent publications (“Papers”)
In the following, “PaleoBooks” refers to curated collections of Jupyter Notebooks organized around various themes. “Chapters” refers to the components of these PaleoBooks. A system of tags allows both PaleoBooks and individual chapters to be associated with one another based on individual themes or methodologies, in addition to their host PaleoBook. These tags enable searching along 3 directions:
“Domains” refers to scientific themes or methodologies
“Formats” refers to the type of resource (Life Hacks, Science Bits, or Papers)
“Packages” refers to the packages being used in each notebook (e.g. Xarray)
The gallery below is a work in progress, and we encourage you to contribute your own analyses if you think they might bring enlightenment to, and/or ease the life of, fellow scientists.
PaleoBooks#
Paleoceanography model output tracers data viz C14 watermass geometry oceanography coordinate systems eNd machine learning Deglaciation clustering Mystery Interval, xarray seaborn intake pandas cartopy matplotlib scikit-learn, Science Bits Lifehacks
AWS model output data viz Holocene climate CMIP6 cloud-ready data coordinate systems LMR Volcanic Input, xarray intake pandas cartopy pyleoclim AWS matplotlib ipywidgets, Science Bits Lifehacks
temperature proxy composite, seaborn pandas numpy pyleoclim cfr, Science Bits
endmember mixing watermass geometry tracers clustering, pandas scipy basemap sqlalchemy matplotlib scikit-learn, Science Bits
data viz, matplotlib pyleoclim ammonyte, Extras Main Analysis
correlation model output model-data comparison spectral analysis paleoclimate insolation wavelet analysis cross-wavelet analysis paleoceanography age uncertainty, xarray cartopy pylipd pyleoclim climlab, Science Bits
coral Paleocenography Calibration Statistics Sr/Ca paleoceanography calibration Bayesian Statistics, pymc pandas Great Tables pyleoclim arviz matplotlib statsmodel, Getting Started Calibration
paleoceanography PCA modeling, xarray pandas cartopy eofs pyleoclim matplotlib, Science Bits
timeseries modeling data assimilation reconstruction data viz statistics Common Era PMIP PaMoDaCo paleoclimatology, pens statsmodels seaborn pandas scipy pyleoclim matplotlib, Motivation Plume Distance Temporal Interpretation Paleoclimate Applications
data viz data analysis data wrangling, basemap ammonyte pyLiPD pylipd pyleoclim matplotlib, Loading Data Exploring the Data Main Analysis
correlation regression visualization mapping LiPD dimension reduction spectral analysis age modeling wavelets data wrangling tidyverse calibration PCA age uncertainty uncertainty quantification ensemble, ggplot2 purrr dplyr lipdR readr oxcAAR, Extensions Core Methods Data Manipulation
data viz statistics geospatial signal processing data wrangling paleoclimate data analysis, cartopy pylipd numpy pyleoclim matplotlib climlab, Global Coherence Analysis Heuristic Examples Correlation Analysis Exploring the Data
data viz data supplement climate sensitivity, matplotlib scipy statsmodels pyleoclim, EC Calculations Supplement Main Analysis
data viz data assimilation data analysis data wrangling, xarray matplotlib pens cfr, Data Assembly Data Assimilation Validation and Comparison
data viz data assimilation data analysis data wrangling, pens cartopy pylipd matplotlib cfr, Data Assembly Data Assimilation Validation and Comparison
Chapters#
oceanography tracers data viz, xarray matplotlib cartopy pandas seaborn, Lifehacks
model output oceanography coordinate systems, xarray matplotlib cartopy pandas intake, Lifehacks
model output eNd, xarray matplotlib cartopy pandas, Science Bits
clustering machine learning watermass geometry, xarray matplotlib cartopy scikit-learn, Science Bits
C14 Paleoceanography Deglaciation Mystery Interval, xarray matplotlib cartopy pandas, Science Bits
AWS cloud-ready data data viz CMIP6, intake AWS xarray pandas, Lifehacks
model output CMIP6 coordinate systems, xarray matplotlib cartopy pandas, Lifehacks
model output, ipywidgets matplotlib, Lifehacks
model output LMR CMIP6, xarray matplotlib cartopy pandas pyleoclim, Science Bits
Volcanic Input Holocene climate LMR CMIP6, xarray matplotlib cartopy ipywidgets, Science Bits
proxy composite temperature, numpy seaborn pandas pyleoclim cfr, Science Bits
watermass geometry tracers endmember mixing, basemap scipy matplotlib pandas sqlalchemy, Science Bits
clustering watermass geometry, basemap scikit-learn matplotlib, Science Bits
data viz, matplotlib pyleoclim ammonyte, Main Analysis
data viz, matplotlib pyleoclim ammonyte, Main Analysis
data viz, matplotlib pyleoclim ammonyte, Main Analysis
data viz, matplotlib pyleoclim ammonyte, Main Analysis
data viz, matplotlib pyleoclim ammonyte, Main Analysis
data viz, matplotlib pyleoclim ammonyte, Main Analysis
data viz, matplotlib pyleoclim ammonyte, Main Analysis
data viz, matplotlib pyleoclim ammonyte, Main Analysis
data viz, matplotlib pyleoclim ammonyte, Extras
data viz, matplotlib pyleoclim ammonyte, Extras
data viz, matplotlib pyleoclim ammonyte, Extras
spectral analysis wavelet analysis cross-wavelet analysis insolation paleoceanography, xarray pyleoclim pylipd climlab, Science Bits
model output spectral analysis model-data comparison paleoclimate, xarray pyleoclim, Science Bits
paleoclimate correlation age uncertainty, xarray pyleoclim cartopy pylipd, Science Bits
paleoceanography Sr/Ca coral calibration, matplotlib pyleoclim pandas, Getting Started
Statistics Calibration Paleocenography, statsmodel Great Tables, Calibration
Bayesian Statistics Calibration Paleocenography, pymc arviz, Calibration
paleoceanography PCA modeling, xarray pyleoclim cartopy matplotlib pandas eofs, Science Bits
paleoclimatology data assimilation data viz, matplotlib pens pyleoclim, Motivation
data assimilation PaMoDaCo, matplotlib pens, Temporal Interpretation
data assimilation timeseries modeling, matplotlib pens statsmodels seaborn, Temporal Interpretation
data assimilation timeseries modeling, matplotlib pens pyleoclim, Temporal Interpretation
statistics PaMoDaCo, matplotlib pens seaborn, Plume Distance
statistics PaMoDaCo, matplotlib pens seaborn, Plume Distance
reconstruction statistics Common Era, matplotlib seaborn pens scipy, Paleoclimate Applications
reconstruction statistics Common Era, matplotlib pens, Paleoclimate Applications
data assimilation PaMoDaCo PMIP, matplotlib pens pyleoclim pandas, Paleoclimate Applications
data wrangling, pyLiPD, Loading Data
data wrangling, pylipd pyleoclim, Loading Data
data viz data analysis, pyleoclim matplotlib, Exploring the Data
data viz data analysis, pyleoclim basemap, Exploring the Data
data viz data analysis, pyleoclim matplotlib, Main Analysis
data analysis data viz, matplotlib pyleoclim, Main Analysis
data viz data analysis, pyleoclim ammonyte matplotlib, Main Analysis
data viz data analysis, pyleoclim matplotlib, Main Analysis
age modeling uncertainty quantification, geoChronR lipdR, Core Methods
correlation age uncertainty, geoChronR ggplot2, Core Methods
regression calibration, geoChronR readr ggplot2, Core Methods
spectral analysis wavelets, geoChronR, Core Methods
PCA dimension reduction, geoChronR, Core Methods
visualization, geoChronR ggplot2, Data Manipulation
data wrangling mapping, geoChronR, Data Manipulation
data wrangling tidyverse, geoChronR dplyr purrr, Data Manipulation
age modeling, geoChronR oxcAAR, Extensions
LiPD ensemble, geoChronR, Extensions
data wrangling, pylipd pyleoclim, Exploring the Data
geospatial data viz, cartopy pyleoclim matplotlib, Exploring the Data
data viz, matplotlib pyleoclim, Exploring the Data
data viz data analysis, pyleoclim matplotlib climlab, Heuristic Examples
paleoclimate data analysis data viz, matplotlib climlab pyleoclim, Heuristic Examples
data viz data analysis paleoclimate, matplotlib pyleoclim climlab, Global Coherence Analysis
paleoclimate signal processing, pyleoclim climlab matplotlib, Global Coherence Analysis
statistics data analysis, numpy matplotlib, Global Coherence Analysis
statistics paleoclimate, pyleoclim climlab matplotlib, Correlation Analysis
statistics paleoclimate, climlab pyleoclim matplotlib, Correlation Analysis
climate sensitivity, statsmodels, EC Calculations
data viz, scipy matplotlib, EC Calculations
data viz, scipy matplotlib, Main Analysis
data viz, scipy matplotlib, Main Analysis
data viz, scipy matplotlib, Main Analysis
data viz data supplement, pyleoclim matplotlib, Supplement
data wrangling, cfr, Data Assembly
data wrangling, cfr, Data Assembly
data assimilation data analysis, cfr, Data Assimilation
data viz data analysis, cfr xarray matplotlib pens, Validation and Comparison
data viz data analysis, cfr matplotlib, Validation and Comparison
data wrangling, cfr pylipd, Data Assembly
data wrangling, cfr pylipd, Data Assembly
data assimilation data analysis, cfr, Data Assimilation
data viz data analysis, cfr matplotlib cartopy pens, Validation and Comparison
data viz data analysis, cfr matplotlib cartopy pens, Validation and Comparison