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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Raw data files for "Estimating the effect of cooling rate on the acquisition of magnetic remanence"

Authors: Lesleis Nagy; Wyn Williams; Lisa Tauxe;

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

Abstract

# 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 }

Keywords

Single domain cooling TRM

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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