Data table format#

The inference model requires two inputs: proxy data for multiple stratigraphic sections and age constraints (at least a minimum and maximum age for each section). Proxy data and age constraints should be saved in separate .csv files formatted according to the tables below.

Stratigraphic proxy data#

The table below describes the values expected in the data table (.csv file) with proxy data for each section. Each entry corresponds to a single sample. Optional parameters that you do not wish to specify should be left blank, and will be replaced with the default value when the data are loaded with load_data() in stratmc.data.

Parameter	Description
`section`	Name of the section this data belongs to (type `string`).
`height`	Height of sample in section (in meters). For sections where stratigraphic position instead is described by depth, leave blank.
`depth`	Depth of sample in core (in meters). For sections where stratigraphic position instead is described by height, leave blank.
`proxy`	Proxy value for sample (replace column header with name of proxy).
`proxy_std`	1-\(\sigma\) uncertainty of proxy measurement (in column header, proxy must match name of the column with the associated proxy value). If not provided, defaults to 0.1.
`offset_group`	Only required if custom groups of samples share an offset term in the model (otherwise, all samples from the same section will share an offset term). Set to the same value (`string` or `float`) for all samples from the same group.
`noise_group`	Only required if custom groups of samples share a noise term in the model (otherwise, all samples from the same section will share a noise term). Set to the same value (`string` or `float`) for all samples from the same group.
`Exclude?`	Whether to exclude sample from the inference (`True` or `False`). Optional; defaults to `False` if not provided.

Age constraints#

The table below describes the values expected in the data table (.csv file) with age constraints for each section. Each entry corresponds to a single age constraint from one of the sections included in the Stratigraphic proxy data table. Optional parameters that you do not wish to specify should be left blank, and will be replaced with the default value when the data are loaded with load_data() in stratmc.data.

Parameter	Description
`section`	Name of the section this data belongs to (type `string`). Must match the corresponding section in the Chemostratigraphic Data table.
`height`	Height of age constraint in section (in meters). For sections where stratigraphic position instead is described by depth, leave blank.
`depth`	Depth of age constraint in core (in meters). For sections where stratigraphic position instead is described by height, leave blank.
`age`	Age (in Myr).
`age_std`	1-\(\sigma\) age uncertainty (in Myr).
`name`	Name of age constraint (type `string`). Only required if one of `shared?` is `True`.
`shared?`	Whether the age constraint is shared between multiple sections (and should have the same age in all sections where it is present – i.e., a correlative age constraint) (`True` or `False`). Shared constraints must have the same `name`. Optional; defaluts to `False`.
`intermediate detrital?`	Whether the age constraint is an intermediate (i.e., in the middle of a section) detrital age, which provides a maximum age for all overlying samples but does not constrain the age of underlying samples (`True` or `False`. Optional; defaults to `False`.
`intermediate intrusive?`	Whether the age constraint is an intermediate (i.e., in the middle of a section) intrusive age, which provides a minimum age for all underlying samples but does not constrain the age of overlying samples (`True` or `False`). Optional; defaults to `False`.
`distribution_type`	Probability distribution used to model age constraint; must correspond to the name of a continuous `pymc.distributions` object (type `string`). Optional; defaults to Normal.
`param_1_name`	Name of parameter for custom distribution; only required if using a distribution other than `Normal`. If the custom distribution has no parameters, leave blank.
`param_1`	Value of parameter for custom distribution; only required if using a distribution other than `Normal`. If the custom distribution has no parameters, leave blank.
`param_2_name`	Name of parameter for custom distribution; only required if using a distribution other than `Normal`. If the custom distribution has 0 or 1 parameters, leave blank.
`param_2`	Value of parameter for custom distribution; only required if using a distribution other than `Normal`. If the custom distribution has 0 or 1 parameters, leave blank.
`Exclude?`	Whether to exclude age constraint from the inference ( `True` or `False`). Optional; defaults to `False`.