@NikaShilobod@paleofire@geoscience I see that great info was already provided! In case this is done with age-dated material and accumulation rates should later be calculated (and other common evaluations of the charcoal data), there are several nice scripts (e.g. "CharAnalysis" for Matlab by Higuera et al., https://www.publish.csiro.au/wf/wf09134). Inspired by that, we made an R script with similar functions - the linked paper also includes more info on charcoal prep in the lab: https://zenodo.org/records/4943274
@NikaShilobod@paleofire@geoscience With counting you mean like volume percentage in a soil sample? Back in the day we had a mechanical point counter in the lab for that. Today you'd rather train a neural net to do an image analysis I guess? Something like that?
Or is it more about chemical component determination?
@NikaShilobod@paleofire@geoscience what do you mean by count? Number of bits, mass, etc.? Somewhere I have a report published by someone who worked for NT... sorry to be vague. It was broadly about identifying charcoal burning platforms in Plym Bridge Woods. If this is useful I'll try to hunt it down.
@NikaShilobod@paleofire@geoscience what do you mean analyze? Its mostly carbon with some plant material and oxygen free metals. Acid Digestion and ICP-MS might be the simplest way but not sure what your target analytes are.
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