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22 results for “Lava flow”
Indicative distribution map for Ecosystem Functional Group T6.2 Polar/alpine cliffs, screes, outcrops and lava flows
<p>This archive contains indicative distribution maps and profiles for <strong>T6.2 Polar/alpine cliffs, screes, outcrops and lava flows</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Nearly three centuries of Lava Flow Subsidence at1 Timanfaya, Lanzarote
<p>The following datasets are available for each InSAR dataset - Envisat and Sentinel-1, covering the island of Lanzarote between 2004/01/17 -2010/01/30 and 2016/09/14-2020/06/25 respectively:</p> <p><br> Line of Sight (LOS) velocities<br> LOS velocity standard deviations<br> LOS displacement time series<br> Vertical velocities<br> Vertical velocity standard deviations <br> East-West velocities<br> East-West velocity standard deviations</p> <p>The velocities and standard deviations are all geocoded (latitude/longitude in decimal degrees) geotiff files in mm/yr at 90 m resolution for Envisat and 30 m resolution for Sentinel-1. Negative values in the LOS data represent movement away from the satellite; in the vertical data represent subsidence; and in the East-West data represent westward movement. The velocities were calculated from the displacement time series as a least squares inversion and the standard deviations were calculated within LiCSBAS using a percentile bootstrap method. </p> <p>The Sentinel-1 time series is given as a 3D matrix (lon x lat x dates) within a .h5 file where each slice is the cumulative displacement (mm) in a lon lat grid format for each epoch date. The latitude and longitude are then given as separate vectors within the .h5 file.</p> <p>The Envisat time series is given as a .dat file where the first two columns are longitude and latitude. The remaining columns are the cumulative displacement (mm) for each epoch date.</p> <p>The epoch dates for both are given as separate text files and are given in the format YYYYMMDD.</p>
Text-fig. 3. Distribution of main types of volcanoes in the NearShore Volcanic Belt of Eastern Sikhote-Alin' (Eocene–Neogene). 1 – Central volcanoes (partly preserved); 2 – Central volcanoes (destructed); 3 – Shield and gentle sloping volcanoes with a dolerite or trachy-basaltic neck on the top; 4 – Lava and scoria cones; 5 – Pyroclastic, tuffaceous coarse- and fine-grained terrigenous sedimentary rocks, partly with plant-bearing levels; 6 – Eruption centers of plateau-basalts and the direction of lava flows; 7 – Main Late Cenozoic basaltic plateaus; 8 – Fumarol fields; 9 – Hot springs. in Mid-Latitude Palaeogene Floras Of Eurasia Bound To Volcanic Settings And Palaeoclimatic Events - Experience Obtained From The Far East Of Russia (Sikhote-Alin') And Central Europe (Bohemian Massif)
Text-fig. 3. Distribution of main types of volcanoes in the NearShore Volcanic Belt of Eastern Sikhote-Alin' (Eocene–Neogene). 1 – Central volcanoes (partly preserved); 2 – Central volcanoes (destructed); 3 – Shield and gentle sloping volcanoes with a dolerite or trachy-basaltic neck on the top; 4 – Lava and scoria cones; 5 – Pyroclastic, tuffaceous coarse- and fine-grained terrigenous sedimentary rocks, partly with plant-bearing levels; 6 – Eruption centers of plateau-basalts and the direction of lava flows; 7 – Main Late Cenozoic basaltic plateaus; 8 – Fumarol fields; 9 – Hot springs.
Complex Lava Tube Networks Developed Within the 1792-93 Lava Flow Field on Mount Etna (Italy): Insights for hazard assessment Supporting Informations: Maps and sections of the lava tubes
<div> <div> <div> <p>This supporting information for the above paper submitted to Frontiers in Earth Science - Volcanology, comprises Table 1, as well as the maps and sections of the 8 lava tubes analyzed in this paper, that are located within the 1792-93 lava flow field at Etna volcano. The methods used for the new surveys of the lava tubes are also explained.</p> </div> </div> </div>
Data for: "The effects of DEM resolution on the PyFLOWGO thermorheological lava flow model" paper
<p>PyFLOWGO results for a topographic sensitivity analysis. </p> <p>These are the 5m step size results presented in the publication, additional results upon request. </p>
Dataset for Evidence of Topographic Change Recorded by Lava Flows at Atete and Aruru Coronae on Venus
<p>GIS shapefiles, python script, and .csv files for Evidence of Topographic Change Recorded by Lava Flows at Atete and Aruru Coronae on Venus. Submitted to JGR: Planets </p>
Kilauea 2018 fissure 8 lava flow velocimetry
<p>The spreadsheet contains information derived from performing particle image velocimetry (PIV) on segments of videos collected by uncrewed aerial systems (UAS, drones) during the 2018 Kilauea lower East Rift Zone eruption in Hawai'i. </p> <p>Videos were collected in specific sites along the main Fissure 8 channel. Sites are numbered 1 to 21. For each video, the dataset reports the Site over which it was recorded, the date and time or recording, the distance of the site from the eruptive vent, the ground slope and channel width and depth at the site, and the measured mean and maximum velocities as obtained from the PIV analysis. The set also reports the derived effective viscosity we calculate using the above prameters. </p>
Data from Deng et al. (2025) "Secular Change of Preservation of Lunar Sinuous Rilles: Constraints from Lava Flow Numerical Modeling"
<p>These are the updated supplemental materials of our article, adding more groups of simulation and a sensitivity analysis of two parameters, cell width and plane slope.</p>
Plots of 1962 and 1983 lava flows and scoriae in Miyakejima
<p>Thermomagnetic curves (jst), hysteresis loops (hys), and Arai diagrams with Zijderveld diagrams of Thellier results (thl) by site.</p>
PyFLOWGO Data for Arsia Mons Lava Flows
<ul> <li>PyFLOWGO results for five lava flows SW of Arsia Mons, Mars</li> <li>Flow measurements for five lava flows SW of Arsia Mons, Mars</li> </ul>
Orthophoto mosaic of the July 1974 lava flow of Kīlauea
<p><span>This 20 cm-resolution orthophoto mosaic was produced from digital images taken during a helicopter overflight in January 2018 during a mission by the Hawaiian Volcano Observatory and reconstructed using <em>Pix4D Mapper v.3.2.14. </em>Reference CRS is EPSG:32605.</span></p>
Videos of lava flows on 16th November 2021 at the South Delta of the 2021 Cumbre Vieja eruption (La Palma, Canary Islands).
<p>Videos of field observations made on 16th November 2021 at 15:00 UTC from a point (UTM coordinates 28-R, 213992, 3167808 ) on the coastline of the South lava delta formed during the 2021 eruption of Cumbre Vieja volcanic rift at La Palma (Canary Islands).</p> <p>Video 1 shows a high-mobility lava flowed down the marine cliff over a well-developed ramp.</p> <p>Video 2 shows the ocean entrance of the lava flow, accompanied by the formation of a large gas plume in which vertical steam jets containing dark particulate matter. These jets, up to 10 m high, included lava fragments of diameter >10 cm that were projected to a maximum of 10–15 m away, following ballistic trajectories until falling into the sea and often leaving traces of white steam behind them. </p>
Movies and temperature and pressure measurements associated with the study "Experimental evidence for lava-like mud flows under Martian surface conditions"
<p>Movies and temperature and pressure data associated with the study "<strong>Experimental evidence for lava-like mud flows under Martian surface conditions</strong>".</p>
Indicative distribution map for Ecosystem Functional Group T3.4 Young rocky pavements, lava flows and screes
<p>This archive contains indicative distribution maps and profiles for <strong>T3.4 Young rocky pavements, lava flows and screes</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Rock-magnetic, paleomagnetic and multimethod paleointensity data from an upper Miocene lava flow sequence from São Vicente (Cape Verde)
<p>The folder “Praia Grande Paleomagnetism Data.zip” contains paleomagnetic thermal and alternating field demagnetisation data obtained on upper Miocene volcanic rocks from São Vicente (Cape Verde). Measurements were performed in the paleomagnetic laboratory of the University of Burgos (Spain). Data are in .txt format with the extension .rs3. Columns are separated by empty spaces. Data can be visualised and analysed with the Remasoft software (Chadima and Hrouda, 2006).</p> <p>The folder “Praia Grande rock magnetism Data.zip” contains data in .txt format of IRM acquisition curves (extension .irm), hysteresis curves (extension .hys), backfield curves (extension .coe) and thermomagnetic magnetisation versus temperature curves (extension .rmp) obtained on upper Miocene volcanic rocks from São Vicente (Cape Verde). Measurements were performed in the paleomagnetic laboratory of the University of Burgos (Spain). Columns are separated by tabs. Data can be visualised and analysed with the RockMagAnalyzer 1.0 software (Leonhardt, 2006).</p> <p>The folder “Praia Grande Thellier-Coe Data.zip”contains paleointensity determination data obtained with the Thellier-Coe method on upper Miocene volcanic rocks from São Vicente (Cape Verde). Measurements were performed in the paleomagnetic laboratory of the University of Burgos (Spain). Data are in .txt format with the extension .tdt separated by tabs. Data can be visualised and analysed with the ThellierTool software (Leonhardt et al.,2004).</p> <p>The folder “Praia Grande Multispecimen.zip” contains paleointensity determination data on upper Miocene volcanic rocks from São Vicente (Cape Verde) obtained with the multispecimen method (Biggin and Poidras, 2006; Dekkers and Böhnel, 2006; Fabian and Leonhardt, 2010) at Laboratorio Interinstitucional de Magnetismo Natural, Instituto de Geofísica, Unidad Michoacán, UNAM, Mexico. Two kinds of files can be found: Five .txt files (M0.txt, M1.txt, M2.txt, M3.txt, M4.txt) and five .jr6 files (M0.jr6, M1.jr6, M2.jr6, M3.jr6, M4.jr6). Both types of files are in .txt format. The .txt files directly provide the measurement data generated during the multispecimen experiments. The first columns of the .jr6 files display the following information: column 1: specimen name; column 2: experimental step (explanation below); columns 3, 4 and 5: three magnetisation components M(x), M(y) and M(z); column 6: exponent of the magnetisation components to obtain the magnetisation value in A/m. In the multispecimen experiments, the specimen-name (e.g. PRG1-3) can be divided in two parts, the first three characters indicate the sample (flow), the last character the specimen number (1 to 7). Eight different experimental steps (column 2) can be distinguished: NRM, A10, A20, A30, A40, A50, A60 and A70. They correspond to the measurement of the NRM and of steps in which fields of 10, 20, 30, 40, 50, 60 and 70 mT where respectively applied. Files M0 (.txt and .jr6) include only NRM measurements, files M1 include measurements of specimens heated with an applied field parallel to their NRM, files M2 include measurements of specimens heated with an applied field antiparallel to their NRM, files M3 include measurements of specimens heated in zero field and cooled down in an applied field parallel to their NRM, and files M4 include again include measurements of specimens heated with an applied field parallel to their NRM.</p> <p><strong>REFERENCES</strong></p> <p>Biggin, A., Poidras, T., 2006. First-order symmetry of weak-field partial thermoremanence in multi-domain ferromagnetic grains. 1. Experimental evidence and physical implications. Earth Planet. Sci. Lett. 245, 438–453. doi:10.1016/j.epsl.2006.02.035</p> <p>Chadima, M. and Hrouda, F., 2006. Remasoft 3.0 a user friendly paleomagnetic data browser and analyzer. <em>Travaux Géophysiques</em>, XXVII, 20-21.</p> <p>Dekkers, M.J., Böhnel, H.N., 2006. Reliable absolute palaeointensities independent of magnetic domain state. Earth Planet. Sci. Lett. 248, 507–516. doi:10.1016/j.epsl.2006.05.040</p> <p>Fabian, K., Leonhardt, R., 2010. Multiple-specimen absolute paleointensity determination: An optimal protocol including pTRM normalization, domain-state correction, and alteration test. Earth Planet. Sci. Lett. 297, 84–94. doi:10.1016/j.epsl.2010.06.006</p> <p>Leonhardt, R., 2006. Analyzing rock magnetic measurements; The RockMagAnalyzer 1.0 software.<em>Computers and Geosciences</em>, 32, 1420-1431.</p> <p>Leonhardt, R., Heunemann, C. and Krása, D., 2004. Analyzing absolute paleointensity determinations: Acceptance criteria and the software ThellierTool4.0. <em>Geochem. Geophys. Geosyst.</em>, Vol. 5, no. 12, doi.: 10.1029/2004GC000807.</p> <p>Monster, M.W.L., de Groot, L. V., Dekkers, M.J., 2015. MSP-Tool: A VBA-Based Software Tool for the Analysis of Multispecimen Paleointensity Data. Front. Earth Sci. 3, 1–9. https://doi.org/10.3389/feart.2015.00086</p>
The LAVA (Lateral Flow Antigen Validation and Applicability) Study for COVID-19
ClinicalTrials.gov study NCT04629157. IPD Sharing: NO. Countries: 1. Publications: 1.
Data of 1962 and 1983 lava flows and scoriae in Miyakejima
<p>Excel sheets of Table S1 and S2</p>
Rock-magnetic, paleomagnetic and multimethod paleointensity data from the Pliocene Khaveti lava flow sequence in Georgia
<p><span>The folder “1 Rock magnetic data Khaveti.zip” contains data in .txt format of IRM acquisition curves (extension .irm), hysteresis curves (extension .hys), backfield curves (extension .coe) and thermomagnetic magnetisation versus temperature curves (extension .rmp) obtained on Pliocene volcanic rocks from a lava flow sequence in the Lesser Caucasus in Georgia . Measurements were performed in the paleomagnetic laboratory of the University of Burgos (Spain). Columns are separated by tabs. Data can be visualised and analysed with the </span><span>RockMagAnalyzer 1.0 software (Leonhardt, 2006).</span></p> <p><span>The folder “2 Paleomagnetic data Khaveti.zip” contains paleomagnetic thermal and alternating field demagnetisation data obtained on Pliocene volcanic rocks from a lava flow sequence in the Lesser Caucasus in Georgia. Measurements were performed in the paleomagnetic laboratory of the University of Burgos (Spain). Data are in .txt format with the extension .rs3. Columns are separated by empty spaces. Data can be visualised and analysed with the </span><span>Remasoft software (Chadima and Hrouda, 2006).</span></p> <p><span>The folder “3 Paleointensity data Khaveti Thellier_Coe.zip” contains two folders with paleointensity determination data obtained with the Thellier-Coe method on Pliocene volcanic rocks from the Khaveti lava flow sequence in the Lesser Caucasus in Georgia. The two folders Thellier_Coe Khaveti_down and Thellier_Coe Khaveti_up contain paleointensity determination data obtained respectively in the 14 lower and 14 upper flows of the sequence. Experiments were carried out in the <em>Paleomagnetics and Magnetic Materials Laboratory</em> of the University of Hawai’i at Manoa. Data from each flow have been put in an own folder, and are in .txt format with the extension .tdt separated by tabs. Data can be visualised and analysed with the </span><span>ThellierTool software (Leonhardt et al.,2004).</span></p> <p><span>The folder “4 Paleointensity data Khaveti Multispecimen.zip” contains two folders with paleointensity determination data from Pliocene volcanic rocks from the Khaveti lava flow sequence in the Lesser Caucasus in Georgia. These data were obtained with</span><span> the multispecimen method (Biggin and Poidras, 2006; Dekkers and Böhnel, 2006; Fabian and Leonhardt, 2010). The folder MS_Morelia contains determinations carried out at <em>Laboratorio Interinstitucional de Magnetismo Natural</em>, Instituto de Geofísica, Unidad Michoacán, UNAM, Mexico. The folder MS_Burgos contains determinations carried out at the paleomagnetic laboratory of the University of Burgos. All files are Excel files, and each one corresponds to a single sample subjected to multispecimen analysis. Data can be visualised and analysed with the VBA based software tool “MSP-Tool” (Monster et al.,2015) directly included in each one of the sample </span><span>files.</span></p> <p> </p> <h3><strong><span>REFERENCES</span></strong></h3> <p> </p> <p><span>Biggin, A., Poidras, T., 2006. First-order symmetry of weak-field partial thermoremanence in multi-domain ferromagnetic grains. 1. Experimental evidence and physical implications. Earth Planet. Sci. Lett. 245, 438–453. doi:10.1016/j.epsl.2006.02.035</span></p> <p><span>Chadima, M. and Hrouda, F., 2006. Remasoft 3.0 a user friendly paleomagnetic data browser and analyzer. <em>Travaux Géophysiques</em>, XXVII, 20-21.</span></p> <p><span>Dekkers, M.J., Böhnel, H.N., 2006. Reliable absolute palaeointensities independent of magnetic domain state. Earth Planet. Sci. Lett. 248, 507–516. doi:10.1016/j.epsl.2006.05.040</span></p> <p><span>Fabian, K., Leonhardt, R., 2010. Multiple-specimen absolute paleointensity determination: An optimal protocol including pTRM normalization, domain-state correction, and alteration test. Earth Planet. Sci. Lett. 297, 84–94. doi:10.1016/j.epsl.2010.06.006</span></p> <p><span>Leonhardt, R., Heunemann, C. and Krása, D., 2004. Analyzing absolute paleointensity determinations: Acceptance criteria and the software ThellierTool4.0. <em>Geochem. Geophys. Geosyst.</em>, Vol. 5, no. 12, doi.: 10.1029/2004GC000807.</span></p> <p><span>Leonhardt, R., 2006. Analyzing rock magnetic measurements; The RockMagAnalyzer 1.0 software.<em>Computers and Geosciences</em>, 32, 1420-1431.</span></p> <p><span>Monster, M.W.L., de Groot, L. V., Dekkers, M.J., 2015. MSP-Tool: A VBA-Based Software Tool for the Analysis of Multispecimen Paleointensity Data. Front. Earth Sci. 3, 1–9. https://doi.org/10.3389/feart.2015.00086</span></p>
Rock-magnetic, paleomagnetic and paleointensity data from a lava flow erupted on 4 December 2021 in La Palma (Canary Islands, Spain)
<p><span>The folder “1 Rock magnetic data VFTB La Palma” contains data in .txt format of IRM acquisition curves (extension .irm), hysteresis curves (extension .hys), backfield curves (extension .coe) and thermomagnetic curves (extension .rmp) obtained on a lava flow erupted on December 4<sup>th</sup>, 2021 in La Palma (Canary Islands, Spain). Extension .rmp files including Ms-T in their file name are for magnetisation vs. temperature measurements and those including k-T in their file name are for susceptibility vs. temperature measurements. Thermomagnetic and hysteresis measurements were first performed on original specimens and then again on the same specimens after having been heated. Files including “antes” in their filename are the original measurements and those including “despues” in their file name correspond to heated samples. All measurements were performed on a Variable Field Translation Balance (VFTB) in the paleomagnetic laboratory of the University of Burgos (Spain). Columns are separated by tabs. Data can be visualised and analysed with the </span><span>RockMagAnalyzer 1.0 software (Leonhardt, 2006).</span></p> <p><span> </span></p> <p><span>The folder “2 Rock magnetic data k_fd and IRM analysis” contains four files of IRM acquisition data for the analysis of coercivity spectra (CV2-4ir0.asc, CV2-4ir7.asc, CV2-17i0.asc, CV2-17i7.asc) and one file with low- and high-frequency (470 and 4750 Hz) susceptibility data (susceptibility.asc) </span><span>obtained on a lava flow erupted on December 4<sup>th</sup>, 2021, in La Palma (Canary Islands, Spain). All files have an .asc extension containing characters in ASCII format.<a name="_Hlk171719051"></a> </span></p> <p><span><span>IRM acquisition data: (i) </span></span><span><span>File CV2-4ir0.asc</span></span><span>: progressive IRM acquisition of sample CV02-04 with remanence measurement immediately after field application. (ii) File CV2-4ir7.asc: progressive IRM acquisition of sample CV02-04 with remanence measurement 7 minutes after field application. (iii) File CV2-17i0.asc: progressive IRM acquisition of sample CV02-17 with remanence measurement immediately after field application. (iv) </span><span>File CV2-17i7.asc:</span><span> progressive IRM acquisition of sample CV02-17 with remanence measurement 7 minutes after field application. Column 1: measurement number; column DEMAG: first step<span> </span>(100mT) is zero value after AF demagnetisation at 100 mT, following values are IRM acquisition field steps in mT; columns CD, CI, ISD, ISI, RD, RI are declination and inclination values in sample, field corrected and bedding corrected coordinates; column M: magnetic moment in emu; column J: magnetisation in emu/g; columns X, Y, Z display magnetic moment X, Y and Z coordinates. As in IRM acquisition experiments the applied field was directed towards the sample z-axis, IRM values can be obtained by dividing column Z by the sample mass value (given in g), which is found under the tag “SIZE”.<span> </span>Coercivity spectra analysis has been performed with the MAX UnMix software (Maxbauer et al., 2016).</span></p> <p><span>File susceptibility.asc includes data from three </span><span>low-frequency (LF) and three high-frequency (HF) susceptibility measurements performed on two samples.</span></p> <p><span> </span></p> <p><span>The folder “3 Rock magnetic data FORC” contains three files with first order reversal curves data data obtained on three samples from a lava flow erupted on December 4<sup>th</sup>, 2021, in La Palma (Canary Islands, Spain). Data can be analysed using the </span><span>FORCinel software (Harrison and Feinberg, 2008).</span></p> <p><span> </span></p> <p><span>The folder “4 Paleomagnetic data La Palma” contains two folders with paleomagnetic thermal and alternating field demagnetisation data obtained on a lava flow erupted on December 4<sup>th</sup>, 2021, in La Palma (Canary Islands, Spain). Measurements were performed with a cryogenic magnetometer in the paleomagnetic laboratory of the University of Burgos (Spain). Data are in .txt format with the extension .rs3. Columns are separated by empty spaces. In AF measurements, a value of 100 must be subtracted from all AF demagnetisation steps to obtain the real AF-step value (i.e., a demagnetisation step of 165 really means 65 mT). Data can be visualised and analysed with the </span><span>Remasoft software (Chadima and Hrouda, 2006).</span></p> <p><span> </span></p> <p><span>The folder “</span><span>5 Thellier-Coe paleointensity data</span><span>” contains paleointensity determination data obtained with the Thellier-Coe method on a lava flow erupted on December 4<sup>th</sup>, 2021 in La Palma (Canary Islands, Spain). Experiments were carried out at the paleomagnetic laboratory of the University of Burgos (Spain). Data are in .txt format with the extension .tdt separated by tabs. Data can be visualised and analysed with the </span><span>ThellierTool software (Leonhardt et al.,2004).</span></p> <p><span> </span></p> <p><span>The folder “6 Multispecimen paleointen</span><span>sity data” contains a file (CVC02_MSP_Am2.txt) with </span><span>data of 3 paleointensity determinations from the Tajogaite volcano eruption on December 4th, 2021, in the island of La Palma (Canary Islands, Spain). These data were obtained with the multispecimen method (Biggin and Poidras, 2006; Dekkers and Böhnel, 2006; Fabian and Leonhardt, 2010) at the paleomagnetic laboratory of the University of Burgos (Spain). The data are in the "MSP generic format" for the online application Paleoinetnsity.org (Béguin et al., 2020), Multispecimen Protocol option. Each determination consists of five different heating steps (m0, m1, m2, m3 and m4) applied to 8 different specimens.</span></p> <p><span> </span></p> <p><span>The folder “7 Tsunakawa-Shaw paleointensity” contains four folders with paleointensity determination data obtained with the Tsunakawa-Shaw method. The folder named “csv” contains the outcome of the best fit interpretation performed by the Jupyter notebook. The folder “d” contains the original demagnetization data obtained for each specimen. The folder “MagIC” contains the outcome compatible with MagIC software. The folder “plots” contains the outcome plots of the best fit interpretation in .pdf format. These experiments were carried out in the <em>Paleomagnetism Laboratory at the Kochi Core Centre in Kochi University, Japan</em>. Data can be visualised and analysed through Jupyter, using the “TS_analysis_G-cubed_r20230714_cvc02” available in the folder. </span></p> <p><strong><span> </span></strong></p> <p><strong><span>REFERENCES</span></strong></p> <p><span> </span></p> <p><span>Béguin, A., Paterson, G. A., Biggin, A. J., & de Groot, L. V. (2020).<span> </span>Paleointensity org: an online, open source, application for the interpretation of paleointensity data. Geochemistry, Geophysics, Geosystems, 21, e2019GC008791,</span> <span>https://doi.org/10.1029/2019GC008791<span> </span>.</span></p> <p><span>Biggin, A., Poidras, T., 2006. First-order symmetry of weak-field partial thermoremanence in multi-domain ferromagnetic grains. 1. Experimental evidence and physical implications. Earth Planet. Sci. Lett. 245, 438–453. doi:10.1016/j.epsl.2006.02.035</span></p> <p><span>Chadima, M. and Hrouda, F., 2006. Remasoft 3.0 a user friendly paleomagnetic data browser and analyzer. <em>Travaux Géophysiques</em>, XXVII, 20-21.</span></p> <p><span>Dekkers, M.J., Böhnel, H.N., 2006. Reliable absolute palaeointensities independent of magnetic domain state. Earth Planet. Sci. Lett. 248, 507–516. doi:10.1016/j.epsl.2006.05.040</span></p> <p><span>Fabian, K., Leonhardt, R., 2010. Multiple-specimen absolute paleointensity determination: An optimal protocol including pTRM normalization, domain-state correction, and alteration test. Earth Planet. Sci. Lett. 297, 84–94. doi:10.1016/j.epsl.2010.06.006</span></p> <p><span>Harrison, R.J. and Feinberg, J.M. (2008), FORCinel: An improved algorithm for calculating first-order reversal curve distributions using locally weighted regression smoothing. <em>Geochem. Geophys. Geosyst.</em>, 9, Q05016, doi:10.1029/2008GC001987.</span></p> <p><span>Leonhardt, R., Heunemann, C. and Krása, D., 2004. Analyzing absolute paleointensity determinations: Acceptance criteria and the software ThellierTool4.0. <em>Geochem. Geophys. Geosyst.</em>, Vol. 5, no. 12, doi.: 10.1029/2004GC000807.</span></p> <p><span>Leonhardt, R., 2006. Analyzing rock magnetic measurements; The RockMagAnalyzer 1.0 software. <em>Computers and Geosciences</em>, 32, 1420-1431.</span></p> <p><span><span> </span></span><span>Maxbauer, D.P., Feinberg, J.M., Fox, D.L., 2016. MAX UnMix: A web application for unmixing magnetic coercivity distributions. <em>Comput. Geosci.</em> 95, 140–145. https://doi.org/10.1016/j.cageo.2016.07.009</span></p>
Experimental data of Magnetic resonance imaging of analog lava flows: Velocity and rheology
<p>Experimental data of two- and three-phases suspension analog lava flow experiments to accompany "Magnetic resonance imaging of analog lava flows: Velocity and rheology"</p>
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