Data associated with 'Rapid trans-crustal magma movement under Iceland' by Mutch et al. (2019) (NERC grant NE/L002507/1)

Primary data, model initial conditions, model results, a compiled database of olivine diffusivity experiments and supplementary tables used in the paper: 'Mutch, E. J. F., Maclennan J., Shorttle, O., Edmonds, M. & Rudge, J. F., (2019), Rapid trans-crustal magma movement under Iceland, Nature Geoscience'. Data_S1 contains electron probe microanalysis (EPMA) profile data of olivine crystals used in this study. This file also includes all of the initial conditions for forsterite content (XFo), Ni and Mn used in the diffusion modelling. Standard deviations are averaged values of standard deviations from counting statistics and repeat measurements of secondary standards. Data_S2 is a compiled database of olivine diffusion experiments used to derive multiple linear regressions for diffusion coefficients and associated covariance matrices. Regressions were only made through [001] data. Data_S3 contains median values for all of the inverted parameters estimated for each crystal profile from the Nested Sampling Bayesian inversion for each type of initial condition and model equation. All of the Monte Carlo realisations for each model are also included in this file. Table_S1 is a supplementary table that contains olivine diffusion equation regression parameters derived and used as part of this study. Table_S2 is a supplementary table that contains covariance matrices for olivine diffusion equations derived in this study. Table_S3 is a supplementary table that contains covariance matrices for aSiO2 (silica activity) dependent olivine diffusion equations derived in this study. Table_S4 is a supplementary table that contains angles between the EPMA profile and the main crystallographic axes in olivine as measured by EBSD. These angles are incorporated into the anisotropy calculation used to determine the apparent diffusivity parallel to the measured profile. angle100P, angle010P and angle001P are the angles between the profile and [100], [010] and [001] respectively. Table_S5 is a supplementary table that contains ,median timescales and 1 sigma errors obtained from the posterior distributions of the Nested Sampling Bayesian inversion conducted on each olivine profile. The results using Al-based initial conditions, constant initial conditions (diffusion only), and aSiO2 based equations using Al-based initial conditions are presented here. The classification of each profile (growth-dominated vs. Al-decoupled) is also shown. See paper (Mutch, E. J. F., Maclennan J., Shorttle, O., Edmonds, M. & Rudge, J. F., (2019), Rapid trans-crustal magma movement under Iceland, Nature Geoscience) for more details.

Citation proposal
. Data associated with 'Rapid trans-crustal magma movement under Iceland' by Mutch et al. (2019) (NERC grant NE/L002507/1). https://metadata.bgs.ac.uk/geonetwork/srv/api/records/8628f73b-0dfb-6778-e054-002128a47908

Simple

Date ( Creation ): 2019

Identifier: http://data.bgs.ac.uk/id/dataHolding/13607452

Principal investigator

University of Cambridge - Professor Eric Wolff (Department of Earth Sciences )

Downing Street Cambridge CB2 3EQ

Point of contact

University of Cambridge - Euan Mutch (Department of Earth Sciences )

Downing Street Cambridge CB2 3EQ

Maintenance and update frequency: notApplicable notApplicable

GEMET - INSPIRE themes

Geology

BGS Thesaurus of Geosciences

Volcanoes , Volcanology , Olivine , Major element analysis , Lavas , Earth crust , Geochemistry , Microanalysis , Diffusion , Basalt , Geology , Fissure eruption , Trace elements , Moho , Igneous petrology , Picrite , Magma

Keywords

NERC_DDC

Access constraints: otherRestrictions Other restrictions

Use constraints: otherRestrictions Other restrictions

Other constraints: The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.

Other constraints: Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"

Metadata language: English English

Topic category

Geoscientific information

Geographic identifier

ICELAND [id=903000]

Date ( Creation ): 1979

Geographic identifier

Date ( Revision ): 2009

Geographic identifier

ISL

Date ( Revision ): 2009

Reference system identifier

OGP / GEOG

Date ( Revision ): 2005

Distribution format

MS Excel ()

OnLine resource: https://www.bgs.ac.uk/services/ngdc/accessions/index.html#item126966

Hierarchy level: dataset Dataset

Other: dataset

Conformance result

Date ( Publication ): 2011

Explanation: See the referenced specification

Pass: false

Conformance result

Date ( Publication ): 2010-12-08

Explanation: See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF

Pass: false

Statement: Olivine compositional profiles were analysed by electron probe microanalysis (EPMA) using a Cameca SX100 with 5 wavelength dispersive spectrometers at the University of Cambridge. An accelerating voltage of 20 kV was applied with a working current of 20 nA for major elements and 200 nA for minor and trace elements. On peak count times of 20 s were used for major elements and 100-120 s for minor and trace elements, with half count times off peak. A spot size of 1 micron was used. The diffusion model timescale results were produced using DFENS (Diffusion chronometry using Finite Elements and Nested Sampling), which is a piece of Python code that combines a finite element numerical model (using FEniCS) with a Nested Sampling Bayesian inversion (using the MultiNest algorithm and PyMultiNest wrapper). See paper (Mutch et al., 2019, Nature Geoscience) for more details.