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69 results for “La Palma”
Data and program codes to reproduce the results of seismic tomography for La Palma Island
<p>This file contains the files to reproduce the results presented in the article: <strong>Voluminous storage and rapid magma ascent beneath La Palma revealed by seismic tomography </strong>by Luca D'Auria, Ivan Koulakov, Janire Prudencio, Iván Cabrera-Pérez, Jesús M. Ibáñez, Jose Barrancos, Rubén García-Hernández, David Martínez van Dorth, Germán D. Padilla, Monika Przeor, Victor Ortega, Pedro Hernández, Nemesio M. Peréz, <em>Scientific Reports</em>.</p> <p>This file includes:</p> <p>1. The full folder with the LOTOS code for the passive-source seismic tomography (Koulakov, 2009, BSSA). </p> <p>2. Folder with the dataset including arrival times of the P and S waves from local seismicity in the area of the La Palma Island, Canary Archipelago.</p> <p>3. README_LA_PALMA.PDF file with the description of the workflow on how to reproduce the tomography models based on experimental and synthetic data presented in the article. </p> <p>Koulakov, I., 2009, LOTOS code for local earthquake tomographic inversion: Benchmarks for testing tomographic algorithms: Bulletin of the Seismological Society of America, v. 99, p. 194–214, https://doi.org/10.1785/0120080013.</p>
Dataset of topographic points measured at La Palma new beaches
<p>Present dataset includes all the topographic points measured al 14 beaches related to the new lava-deltas generated after the Cumbre Vieja eruption of 2021 in La Palma Island. This dataset is used in the paper "<strong>Morphosedimentary characteristics and formation mechanisms of new beaches generated after the Cumbre Vieja eruption of 2021 (La Palma, Spain)</strong>", submitted to Marine Geology</p>
La Palma 2022 Field Campaign - 360 degree imagery
<p>360 degree photospheres acquired during the 2022 winter data acquisition campaign targeting the La Palma 2021 volcanic eruption.</p>
FIGURA 7 in Análisis de los efectos erosivos de la palma (Cocos nucifera L.) en los sistemas playa-duna de República Dominicana
FIGURA 7. Mapa de ubicación de las 31 unidades playa-duna analizadas en la isla de República Dominicana.
FIGURA 6 in Análisis de los efectos erosivos de la palma (Cocos nucifera L.) en los sistemas playa-duna de República Dominicana
FIGURA 6. Ocupación hotelera de frentes de playa-duna y siembra de palmas en la zona de playa emergida en playa Bávaro y Cortecito.Imágenes de enero de 2023.
FIGURA 2 in Análisis de los efectos erosivos de la palma (Cocos nucifera L.) en los sistemas playa-duna de República Dominicana
FIGURA 2. Estructura tipo del sistema playa-duna del Caribe,según Martínez & Moreno-Casola (1996).
FIGURA 1 in Análisis de los efectos erosivos de la palma (Cocos nucifera L.) en los sistemas playa-duna de República Dominicana
FIGURA 1. Imágenes de raíces de palma de coco expuestas sobre sustratos de playa en playa la Romana,las Terrenas,Cayo Levantado y Bávaro.Imágenes de marzo de 2023.
FIGURA 5 in Análisis de los efectos erosivos de la palma (Cocos nucifera L.) en los sistemas playa-duna de República Dominicana
FIGURA 5. Plantaciones de cocoteros en zona traseras de sector playa-duna de playa Rincón y el Valle.Imágenes de enero de 2023.
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>
FIGURA 7 in Análisis de los efectos erosivos de la palma (Cocos nucifera L.) en los sistemas playa-duna de República Dominicana
FIGURA 7. Mapa de ubicación de las 31 unidades playa-duna analizadas en la isla de República Dominicana. Location map of the 31 beach-dune units analyzed on the island of the Dominican Republic.
FIGURA 4 in Análisis de los efectos erosivos de la palma (Cocos nucifera L.) en los sistemas playa-duna de República Dominicana
FIGURA 4. Distribución natural y pre-colombina artificial del coco,Cocos nucifera. La región interna de menor tamaño representa el área de origen aparente; la región externa de mayor tamaño representa la distribución artificial antes de 1500 D.C.Fuente:Parrota (1993). Natural and artificial pre-Columbian distribution of the coconut,Cocos nucifera. The smaller inner region represents the apparent area of origin;the larger outer region represents the artificial distribution before A.D.1500.Source:Parrota (1993).
FIGURA 1 in Análisis de los efectos erosivos de la palma (Cocos nucifera L.) en los sistemas playa-duna de República Dominicana
FIGURA 1. Imágenes de raíces de palma de coco expuestas sobre sustratos de playa en playa la Romana,las Terrenas,Cayo Levantado y Bávaro.Imágenes de marzo de 2023. Images of coconut palm roots exposed on beach substrates in La Romana,Las Terrenas,Cayo Levantado and Bávaro beaches.Images from March 2023.
FIGURA 9 in Análisis de los efectos erosivos de la palma (Cocos nucifera L.) en los sistemas playa-duna de República Dominicana
FIGURA 9. Procedencia de las palmas en cuanto a funcionalidad,agraria o turística en base a los valores dependientes de las variables 1 y 2. Origin of the palms in terms of functionality,agricultural or tourist based on the dependent values of variables 1 and 2.
FIGURA 2 in Análisis de los efectos erosivos de la palma (Cocos nucifera L.) en los sistemas playa-duna de República Dominicana
FIGURA 2. Estructura tipo del sistema playa-duna del Caribe,según Martínez & Moreno-Casola (1996). Typical structure of the Caribbean beach-dune system,according to Martínez & Moreno-Casola (1996).
FIGURE 4 in Vulcanochloris (Trebouxiales, Trebouxiophyceae), a new genus of lichen photobiont from La Palma, Canary Islands, Spain
FIGURE 4. Vulcanochloris, gen. nov. Morphology in a light or a confocal microscope. A–I. Vulcanochloris canariensis, sp. nov. A– C. Spherical or oval vegetative cells. B–E. Crenulate chloroplast. F−G. Shallowly lobed chloroplast. A−C, H. One distinct, centrally positioned pyrenoid, frequently containing one to several spherical incisions. I. Asexual reproduction by 16–64 aplanospores formed in spherical or ellipsoidal sporangia. J−U. Vulcanochloris symbiotica sp. nov. J, K, N. Spherical, oval and oviform vegetative cells. K−M. Deeply lobed chloroplast. N, O. Shallowly lobed chloroplast. P, Q. Crenulate chloroplast. R. Echinate chloroplast. K, N, P. One distinct pyrenoid located in its centre. N. One to several spherical incisions in pyrenoid. S, T. Asexual reproduction by 32 aplanospores or 128 zoospores produced in spherical or ellipsoidal sporangia. U. Zoospores drop-shaped, naked, with two apical flagella and a simple basal chloroplast. V−DD. Vulcanochloris guanchorum, sp. nov. V, W. Spherical, occasionally oval vegetative cells. V. Chloroplast in young cells in the central position with several lobes spreading towards the cells periphery. W−Y. Deeply lobed chloroplast. Z−AA. Shallowly lobed chloroplast. BB. One distinct, centrally positioned pyrenoid, often containing one to several spherical incisions. CC, DD. Asexual reproduction by 16−32 aplanospores or 64−128 zoospores produced in spherical or ellipsoidal sporangia. Scale bars = 5 μm.
FIGURE 3 in Vulcanochloris (Trebouxiales, Trebouxiophyceae), a new genus of lichen photobiont from La Palma, Canary Islands, Spain
FIGURE 3. Bayesian analysis based on the ITS rDNA dataset. Values at the nodes indicate statistical support estimated by three methods— MrBayes posterior-node probability (left), maximum-likelihood bootstrap (middle), and maximum parsimony bootstrap (right). Asterisk represents full support. Scale bar shows the estimated number of substitutions per site. Newly sequenced strains are marked in bold.
FIGURE 2 in Vulcanochloris (Trebouxiales, Trebouxiophyceae), a new genus of lichen photobiont from La Palma, Canary Islands, Spain
FIGURE 2. Bayesian analysis based on the rbcL dataset. Values at the nodes indicate statistical support estimated by three methods— MrBayes posterior-node probability (left), maximum-likelihood bootstrap (middle), and maximum parsimony bootstrap (right). Asterisk represents full support. Scale bar shows the estimated number of substitutions per site. Newly sequenced strains are marked in bold.
FIGURE 1 in Vulcanochloris (Trebouxiales, Trebouxiophyceae), a new genus of lichen photobiont from La Palma, Canary Islands, Spain
FIGURE 1. Vulcanochloris canariensis, gen. et sp. nov.. Chloroplast morphology and ultrastructure. A, B. A deeply lobed type of chloroplast. C, D. Shallowly lobed type of chloroplast. E, F. Crenulate type of chloroplast. G, H. Echinate type of chloroplast. I. Parietal type of chloroplast. J. High number of small starch grains surrounding the pyrenoid. K–M. Pyrenoid irregularly transversed by inclusions bearing a close structural resemblance to the chloroplast thylakoids. N, O. One to several electron-lucent, spherical to elongated regions frequently formed within the pyrenoid matrix. P. Higher number (more than 8) of the electron-lucent regions formed within the pyrenoid matrix. Scale bars = 5 μm (A–J); 1 μm (K–P).
The explosive activity of the 2021 Tajogaite eruption (La Palma, Canary Islands, Spain)
<p>The dataset includes the results of the image analyses of the high-speed videos of the 2021 Tajogaite eruption of Cumbre Vieja volcano, La Palma, Canary Islands, Spain. The results of the Optical Flow analyses include 123 files, one for each video, with the name indicating the date and time (UTC) of the video in the DDMMYYYY_HHMM format and the frame interval at which the analysis was performed. These data are grafically presented in the Supporting_Atlas file that accompanies the manuscript by the same title as the dataset and in part in Figure 6. The files named 'all_info' and 'all_info_types' collect all the metadata of the videos and, the latter one, also the division in the different activities we identified, plus the results of the pulse freqency and average maximum velocity analyses that appear in Figure 7 of the manuscirpt. The results of the grain size distribution, size and rise velocity of the pyroclasts, and mean rise speed and mass flux are reported for 12 selected videos with the the same name format and the suffix '_sizevel'. These data appear in Figure 8 of the manuscript.</p>
DETERMINACIÓN DE LA INFLUENCIA DEL CAMBIO EN EL USO DEL SUELO SOBRE LA CAPTURA DE CARBONO A CAUSA DEL ESTABLECIMIENTO DE CULTIVOS DE PALMA DE ACEITE EN COLOMBIA.
<p>Por medio del software Spyder en lenguaje Phyton, se visualizan los comportamientos asociados a la influencia del cambio directo e indirecto del uso del suelo (LUC e ILUC) sobre la captura de carbono por tipos de cobertura relacionadas a tierras de bosque, tierras ganaderas, tierras agricolas y tierras degradadas en las cuatro zonas palmeras de Colombia.</p>
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