PyBAYWATCH
This package incorporates a set of Bayesian hierarchical Proxy System Models (PSMs, i.e., forward data models) for sedimentary paleoclimate records in Python, including:
- BAYSPAR: for TEX$
_{86}$ in paleotemperature proxy (Tierney and Tingley, 2014, 2015). - BAYSPLINE: for U$
^{K'}_{37}$ in alkenone paleothermometer (Tierney and Tingley, 2018). - BAYMAG: for Mg/Ca in planktic foraminifera (Tierney et al., 2019).
- BAYFOX: for global plankit foraminifera $
\delta^{18}$O(Malevich et al., 2019). - BAYMBT: for the branched GDGT MBT5Me proxy in soils, peats, and lakes (Dearing Crampton-Flood et al., 2020; Martínez-Sosa et al., 2021).
It includes two modes: (i) Python wrappers for the original Matlab codebases, and (ii) pure Python versions. The detailed supporting information is provided below:
| Model | Python wrapper | Pure Python |
|---|---|---|
| BAYSPAR | ✅ | ✅ |
| BAYSPINE | ❌ (due to a non-open Matlab toolbox) | ✅ |
| BAYMAG | ✅ | ✅ |
| BAYFOX | ✅ | ✅ |
| BAYMBT | ✅ | ✅ |
Installation
pip install pybaywatch
References
- Tierney, J. E. & Tingley, M. P. A Bayesian, spatially-varying calibration model for the TEX86 proxy. Geochimica et Cosmochimica Acta 127, 83–106 (2014).
- Tierney, J. E. & Tingley, M. P. A TEX86 surface sediment database and extended Bayesian calibration. Sci Data 2, 150029 (2015).
- Tierney, J. E. & Tingley, M. P. BAYSPLINE: A New Calibration for the Alkenone Paleothermometer. Paleoceanography and Paleoclimatology 33, 281–301 (2018).
- Tierney, J. E., Malevich, S. B., Gray, W., Vetter, L. & Thirumalai, K. Bayesian Calibration of the Mg/Ca Paleothermometer in Planktic Foraminifera. Paleoceanography and Paleoclimatology 34, 2005–2030 (2019).
- Malevich, S. B., Vetter, L. & Tierney, J. E. Global Core Top Calibration of δ18O in Planktic Foraminifera to Sea Surface Temperature. Paleoceanography and Paleoclimatology 34, 1292–1315 (2019).
- Dearing Crampton-Flood, E., Tierney, J. E., Peterse, F., Kirkels, F. M. S. A. & Sinninghe Damsté, J. S. BayMBT: A Bayesian calibration model for branched glycerol dialkyl glycerol tetraethers in soils and peats. Geochimica et Cosmochimica Acta 268, 142–159 (2020).
- Martínez-Sosa, P. et al. A global Bayesian temperature calibration for lacustrine brGDGTs. Geochimica et Cosmochimica Acta 305, 87–105 (2021).
Metadata
Release files for pybaywatch 2026.6.25
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pybaywatch-2026.6.25.tar.gz | 30.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pybaywatch-2026.6.25-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 64.3 kB
Release files / pybaywatch-2026.6.25.tar.gz
| Download URL | pybaywatch-2026.6.25.tar.gz |
|---|---|
| Size | 30.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / pybaywatch-2026.6.25-py3-none-any.whl
| Download URL | pybaywatch-2026.6.25-py3-none-any.whl |
|---|---|
| Size | 34.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.13.5
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