Raw data files for "Estimating the effect of cooling rate on the acquisition of magnetic remanence"

# Desciption of the data.

The following data set is a collection of TRM acquisition curves in different cooling and field regimes for a selection of grain sizes and elongations. The data is arranged in a direcotory structure in the following way, once the 'sd_cooling_data.zip' file has been unpacked

sd_cooling_data/
|
+-- <grain elongation>pc
|
+-- <grain size>nm
|
+-- <field strength>uT
|
+-- <field x direction>_<field y direction>_<field z direction>
|
+-- 6.00e<exponent>s
|
+-- model.csv

The model.csv file is a comma delimited file consisting of four columns:
column 1 - the time in seconds as the grain population cools,
column 2 - the temperature in degrees centigrade,
column 3 - the 'cooled magnetization' of the population i.e. each grain experiences each temperature step for a finite amount of time,
column 4 - the 'equilibrium magnetization' of the population i.e. each grain experiences each temperature step for an infinite amount of time.

# Reproducing the data.

Each model takes a JSON file as input to control its behaviour. Running the model is described on the 'sd-cooling' repository home page

https://www.github.org/Lesleis-Nagy/sd-cooling

The specific version of the software used to generate this data set has doi: 10.5281/zenodo.5085691.

The model JSON used to generate this data set is as follows with input parameters shown between angle brackets.

{
"material": "magnetite",
"sizes": {
"list": [
{
"value": "<size>",
"fraction": 1.0
}
],
"unit": "nm"
},
"elongations": {
"list": [
{
"value": "<elongation>",
"fraction": 1.0
}
]
},
"directions": {
"list": [
{
"value": [
1.0,
0.0,
0.0
],
"fraction": 1.0
}
]
},
"applied_field": {
"strength": <field strength>,
"direction": [
<x direction>,
<y direction>,
<z direction>
],
"unit": "uT"
},
"cooling_regime": {
"ambient_temperature": 15.0,
"initial_temperature": 579.9999,
"reference_time": <reference time>,
"temperature_at_reference_time": 15.15,
"allowable_percentage_drop": 0.005,
"stopping_temperature": 50
},
"outputs": {
"model": "model.csv"
},
"tau0": 1e-10,
"epsilon": 1e-15,
"n_polish": 0
}