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opencc-by-4.0Jun 2019View details →

Fig. 3 in Species or population? Systematic status of Vieja coatlicue (Teleostei: Cichlidae)

Fig. 3. Haplotype network recovered from analysis of the cyt b dataset for populations of Vieja coatlicue (Atlantic) and Vieja zonata (Pacific). Dashes lines represent mutational steps.

opencc-by-4.0Jun 2019View details →

Fig. 2 in Species or population? Systematic status of Vieja coatlicue (Teleostei: Cichlidae)

Fig. 2. Bayesian phylogeny based on cytochrome b sequence data. Number above clades is posterior probability.

opencc-by-4.0Jun 2019View details →

Fig. 1 in Species or population? Systematic status of Vieja coatlicue (Teleostei: Cichlidae)

Fig. 1. Map of Mexico displaying localities for specimens (triangles) examined and tissue samples (circles) for Vieja coatlicue (green) and Vieja zonata (black) used in this study. Star indicates locality for Vieja guttulata sample.

opencc-by-nc-4.0Jan 2022View details →

Pléiades co- and post-eruption survey in Cumbre Vieja volcano, La Palma, Spain

Introduction:  This repository consists of a series of topographic surfaces of the Cumbre Vieja volcano (La Palma, Spain), presented as a series of Digital Elevation Models (DEMs) obtained from multiple Pléiades stereoscopic surveys acquired from the 22nd of September 2021 until the 14th of January 2022. We also present a series of grids showing the difference of elevation between the pre-eruption surface and the co- and post-eruption surface, which reveal the lava thickness of the eruption. This was used to calculate the lava volume and effusion rate or Time Average Discharge Rate (TADR) at the time of the Pléiades surveys.   Data:  1 – Pléiades stereo images:  A pre-eruption Pléiades stereopair was collected from 2013. A total of ten stereopairs were collected between the 23th of September 2021 and 2nd of October 2021 as part of the CIEST2 initiative (https://www.poleterresolide.fr/ciest-2-nouvelle-generation-2/). Four additional pairs were acquired between the 11th of December 2021 and the 14th of January 2022 as part of the Dinamis initiative (https://dinamis.data-terra.org/). However, only some of these stereopairs were acquired with sufficiently large cloud-free areas around the eruption site. The following Pléiades stereo images were processed and are presented in this repository:    <table> <tbody> <tr> <td> Date  </td> <td> Sensor  </td> <td> IDs  </td> </tr> <tr> <td> 2013-06-30, 12h02m  </td> <td> PHR1B  </td> <td> 5944045101 & 5944046101  </td> </tr> <tr> <td> 2021-09-26, 11h58m  </td> <td> PHR1B  </td> <td> 5962414101 & 5962415101  </td> </tr> <tr> <td> 2021-10-02, 12h02m  </td> <td> PHR1B  </td> <td> 5988066101 & 5988067101  </td> </tr> <tr> <td> 2022-01-01, 12h02m  </td> <td> PHR1A  </td> <td> 6122469101 & 6122470101  </td> </tr> <tr> <td> 2022-01-14, 12h02m  </td> <td> PHR1B  </td> <td> 6135055101 & 6135057101  </td> </tr> </tbody> </table> Table 1: Date, sensor and image ID of the Pléiades stereoimages used in this repository.    2 – Lidar pre-eruption surface:  A lidar survey acquired in 2016 by the Spanish Mapping Agency (IGN, Spain) was downloaded through the portal: <a href="http://centrodedescargas.cnig.es/CentroDescargas/catalogo.do?Serie=LIDAR">http://centrodedescargas.cnig.es/CentroDescargas/catalogo.do?Serie=LIDAR</a>#. Specifically, we used the Digital Surface Model (DSM) product, available in 2x2 m Ground Sampling Distance (GSD). This means that trees and human structures were removed based using classification of the multiple returns of the lidar pulses. The coordinate reference system is REGCAN (UTM zone 28N, EPSG: 32628), and the heights are orthometric, using the height reference system REDNAP, built upon the geoid EGM08. Using the REDNAP geoid model, we converted the heights to meters above ellipsoid (WGS84), since the Pléiades data is acquired with satellite attitudes referred to the ellipsoid WGS84.    Methods: The Pléiades stereoimages were processed using the Ames StereoPipeline (ASP, Shean et al., 2016, see ASP branch in repository), yielding a DEM in 2x2m GSD and an orthoimage in 0.5x0.5m GSD. The processing was done using as only input the stereoimages and their orientation information, as Rational Polynomial Coefficients (RPCs). The parallel_stereo routine performs all the steps needed in the correlation of the stereoimages, yielding a pointcloud which is then interpolated using the routine point2dem. Besides default parameters, the parallel_stereo parameters used for creation of the DEMs were the standard parameters, plus the following ones:  --corr-tile-size 2048 --sgm-collar-size 256 --corr-seed-mode 3 --corr-max-levels 2 --corr-timeout 900 --cost-mode 3 --subpixel-mode 9 --corr-kernel 7 7 --subpixel-kernel 15 15 Once the DEM was created, DEM co-registration was applying in order to align and minimize positional biases between the pre-eruption DEM and the Pléiades DEMs. We followed the co-registration method of Nuth & Kääb (2011), implemented by David Shean’s co-registration routines (<a href="https://github.com/dshean/demcoreg">https://github.com/dshean/demcoreg</a>, Shean et al., 2016). The co-registration involved a horizontal and vertical shift of the Pléiades DEMs, as well as a planar tilt correction. The horizontal offset obtained from the DEM co-registration was also applied to the Pléiades orthoimages. Lava outlines were manually digitized from the co-registered Pléiades orthoimages, excluding kipukas and major building constructions which were not covered by the lavas. The lava outlines are available as GeoPackages in the “GPKG” branch of the repository. Lava volume calculations were done using the average lava thickness, multiplied by the area covered by the lavas. The uncertainty in volume was assumed to be the Normalized Mean Absolute Deviation (NMAD, Höhle and Höhle, 2009), multiplied by the lava area. The TADR was calculated as the total volume divided by the time, in seconds, between the start of the eruption, defined as 2021-09-19 11:58:00 local time, and the acquisition of the Pléiades images. For the total TADR, we used the volume extracted from the Pléiades images from the 1st of January 2022, divided by the observed time of beginning and end of the eruption, defined as 2021-12-13 22:21:00, local time. The TADR values shown in this repository do not account for submarine lavas nor tephra deposits. In addition, another set of DEMs were produced automatically as soon as the images were made available by the on-demand processing service DSM-OPT provided by <a href="mailto:ForM@Ter">ForM@Ter</a> (https://en.poleterresolide.fr/on-demand-processing/#/mns). This processing is based on Micmac (D. Michéa and J.-P. Malet / EOST; E. Pointal, IPGP, Rupnik, 2017). The DEMs produced correspond to the file created automatically “A2_dsm_denoised.tif”. They were obtained in 1x1 m GSD, and they were cropped over the area of interest. These DEMs have not been co-registered. These data are available in the “MM” branch in the repository.    Results: Lava area, volumes and effusion rate:    <table> <tbody> <tr> <td> Date  </td> <td> Lava Area (km2)  </td> <td> Lava thickness (m)  </td> <td> Lava volume (10e+6 m3)  </td> <td> TADR  (m3 s-1)  </td> </tr> <tr> <td> 2021-09-26, 11h58m  </td> <td> 2.6  </td> <td> 11.4±1.1  </td> <td> 29.8±2.8  </td> <td> 49.2±4.7  </td> </tr> <tr> <td> 2021-10-02, 12h02m  </td> <td> 4.3  </td> <td> 10.0±1.4  </td> <td> 43.0±6.1  </td> <td> 38.2±5.4  </td> </tr> <tr> <td> 2022-01-01, 12h02m  </td> <td> 12.25  </td> <td> 16.6±1.1  </td> <td> 203.3±13.9  </td> <td> 27.5±1.9  </td> </tr> </tbody> </table> Table 2: results of lava area, thickness, lava volume and TADR since the start of the eruption.    Repository structure: zenodo_lapalma/ ├── ASP │   ├── 20130630_1202_lapalma_PL_2x2m_UTM28N_ASP_DEM.tif │   ├── 20210926_1158_lapalma_PL_2x2m_UTM28N_ASP_DEM.tif │   ├── 20210926_1158_lapalma_PL_2x2m_UTM28N_thickness.tif │   ├── 20211002_1202_lapalma_PL_2x2m_UTM28N_ASP_DEM.tif │   ├── 20211002_1202_lapalma_PL_2x2m_UTM28N_thickness.tif │   ├── 20220101_1202_lapalma_PL_2x2m_UTM28N_ASP_DEM.tif │   ├── 20220101_1202_lapalma_PL_2x2m_UTM28N_thickness.tif │   ├── 20220114_1202_lapalma_PL_2x2m_UTM28N_ASP_DEM.tif │   └── 20220114_1202_lapalma_PL_2x2m_UTM28N_thickness.tif ├── GPKG │   ├── 20210925_1202_lapalma_PL_UTM28N_outline.gpkg │   ├── 20211002_1202_lapalma_PL_UTM28N_outline.gpkg │   └── 20220101_1202_lapalma_PL_UTM28N_outline.gpkg └── MM     ├── 20130630_1202_PL_1x1m_UTM28N_MM_DEM.tif     ├── 20210926_1158_PL_1x1m_UTM28N_MM_DEM.tif     ├── 20211002_1230_PL_1x1m_UTM28N_MM_DEM.tif     ├── 20220101_1202_PL_1x1m_UTM28N_MM_DEM.tif     └── 20220114_1202_PL_1x1m_UTM28N_MM_DEM.tif   Acknowledgements:  Pléiades images were provided under the CIEST² initiative (CIEST2 is part of ForM@Ter (<a href="https://en.poleterresolide.fr/">https://en.poleterresolide.fr/</a> ) and supported by ISDeform National Service of Observation) for the reference image acquired in 2013 and from the 23rd of September to the 2nd of October 2021, and through the Dinamis program (CNES, France) from the 12th of December 2021 to the 14th of January 2022 (image Pléiades©CNES2013,©CNES2021,©CNES2022, distribution AIRBUS DS)    Dataset Attribution  This dataset is licensed under a <a href="https://creativecommons.org/licenses/by-nc/4.0/">Creative Commons CC BY-NC 4.0 International License</a> (Attribution-NonCommercial). Attribution required for copies and derivative works: The underlying dataset from which this work has been derived includes Pleiades material ©CNES (2013,2021,2022), distributed by AIRBUS DS, and data provided by the Spanish Mapping Agency (IGN, Spain), all rights reserved.   Dataset Citation  Belart and Pinel (2022). “Pléiades co- and post-eruption survey in Cumbre Vieja volcano, La Palma, Spain”. Dataset distributed on Zenodo: 10.5281/zenodo.5833771   References:  Höhle, J. and Höhle, M.: Accuracy assessment of digital elevation models by means of robust statistical methods, ISPRS J. Photogramm. Remote Sens., 64, 398–406, https://doi.org/10.1016/j.isprsjprs.2009.02.003, 2009. Nuth, C. and Kääb, A.: Co-registration and bias corrections of satellite elevation datasets for quantifying glacier thickness change, The Cryosphere, 5, 271–290, https://doi.org/10.5194/tc-5-271-2011, 2011. Rupnik, E., Daakir, M., & Deseilligny, M. P.: MicMac – a free, open-source solution for photogrammetry. Open Geospatial Data, Software and Standards, 2(1), 1-9, 2017. Shean, D. E., Alexandrov, O., Moratto, Z. M., Smith, B. E., Joughin, I. R., Porter, C., and Morin, P.: An automated, open-source pipeline for mass production of digital elevation models (DEMs) from very-high-resolution commercial stereo satellite imagery, ISPRS J. Photogramm. Remote Sens., 116, 101–117, https://doi.org/10.1016/j.isprsjprs.2016.03.012, 2016.

opencc-by-4.0Jul 2019View details →

Figure 3 in Application of multifactorial discriminant analysis in the morphostructural differentiation of wild and cultured populations of Vieja Azul (Andinoacara rivulatus)

Figure 3. Cluster from Mahalanobis distances for cultured and wild populations of both sexes. HP: Cultured females; HS: wild females; MP: cultures males; MS: wild males.

opencc-by-4.0Jul 2019View details →

Figure 2 in Application of multifactorial discriminant analysis in the morphostructural differentiation of wild and cultured populations of Vieja Azul (Andinoacara rivulatus)

Figure 2. Plot of the individual observation discriminant scores obtained with the canonical discriminant function. HP: Cultured females; HS: wild females; MP: cultures males; MS: wild males.

opencc-by-4.0Jul 2019View details →

Figure 1 in Application of multifactorial discriminant analysis in the morphostructural differentiation of wild and cultured populations of Vieja Azul (Andinoacara rivulatus)

Figure 1. (a) Location of 25 anatomic landmark points designed on the left-side view of Andinoacara rivulatus; (b) 32 truss characters making up a truss network. 1- Commissure of the mouth; 2- most cranial point of the upper premaxilla; 3- origin of pelvic fin; 4- origin of dorsal fin; 5- origin of anal fin; 6- most cranial point of the base of the tenth spine of the dorsal fin; 7- ending of anal fin; 8- ending of dorsal fin; 9- ventral origin of caudal fin; 10- dorsal origin of caudal fin; 11- most cranial point of caudal peduncle; 12- most caudal point of caudal peduncle; 13- ending of pectoral fin; 14- end of operculum; 15- cranial edge of the eye; 16- caudal edge of the eye; 17- preoccipital (most posterior aspect of neurocranium); 18- below operculum; 19- origin of pectoral fin; 20- lower end of the head; 21- anal opening; 22- most cranial point of the lower premaxilla; 23- ending of 1st dorsal fin ray; 24- ending of the last anal fin ray; 25- ending of the pelvic fin radius.

FIGURE 5 in Comparative characterization of digestive proteases in redhead cichlid (Vieja melanurus) and twoband cichlid (Vieja bifasciata) (Percoidei: Cichlidae)

FIGURE 5 | Effect of inhibitors on alkaline digestive proteases of Vieja melanurus and V. bifasciata: Alkaline control (alkaline proteases without inhibitor), TPCK (N-p-Tosyl-L-phenylalanine chloromethyl ketone), PHEN (phenanthroline), EDTA (ethylenediaminetetraacetic acid), TLCK (TosylL-lysyl-chloromethane hydrochloride), OVO (ovalbumin), SBT1 (soybean trypsin inhibitor), PMSF (phenylmethylsulfonyl fluoride) (mean ± SD, n = 3) significant differences (P<0.05) between inhibitors values are shown by letters. Different letter between bars indicates statistical differences.

FIGURE 2 in Comparative characterization of digestive proteases in redhead cichlid (Vieja melanurus) and twoband cichlid (Vieja bifasciata) (Percoidei: Cichlidae)

FIGURE 2 | pH stability of acid digestive protease for A. Vieja melanurus and B. V. bifasciata; and alkaline digestive protease for C. V. melanurus and D. V. bifasciata (mean ± SD, n = 3). Significant differences (P<0.05) between pH values residual activity are shown by letters.

FIGURE 3 in Comparative characterization of digestive proteases in redhead cichlid (Vieja melanurus) and twoband cichlid (Vieja bifasciata) (Percoidei: Cichlidae)

FIGURE 3 | Effect of optimal temperature (mean ± SD, n = 3) on A. acid proteases and B. alkaline proteases of Vieja melanurus and V. bifasciata. Significant differences (P<0.05) between pH values are shown by letters.

FIGURE 1 in Comparative characterization of digestive proteases in redhead cichlid (Vieja melanurus) and twoband cichlid (Vieja bifasciata) (Percoidei: Cichlidae)

FIGURE 1 | Effect of optimal pH (mean ± SD, n = 3) on A. acid proteases and B. alkaline proteases of Vieja melanurus and V. bifasciata. Significant differences (P<0.05) between pH values are shown by letters.

FIGURE 4 in Comparative characterization of digestive proteases in redhead cichlid (Vieja melanurus) and twoband cichlid (Vieja bifasciata) (Percoidei: Cichlidae)

FIGURE 4 | Temperature stability of acid digestive protease for A. Vieja melanurus and B. V. bifasciata; and alkaline digestive protease for C. V. melanurus and D. V. bifasciata (mean ± SD, n = 3). Significant differences (P<0.05) between pH values residual activity are shown by letters.

FIGURE 1 in Testing spatial and environmental factors to explain body shape variation in the widespread Central American Blackbelt cichlid Vieja maculicauda (Teleostei: Cichlidae)

FIGURE 1 | Points representing geographic location for the lots of Vieja maculicauda used in the current study. Straight black lines represent the approximate location of geological block divisions. Purple shading represents a modified version of IUCN redlist data for the distribution of this species (Lyons, 2019).

FIGURE 4 in Testing spatial and environmental factors to explain body shape variation in the widespread Central American Blackbelt cichlid Vieja maculicauda (Teleostei: Cichlidae)

FIGURE 4 | Canonical variate analysis and shape changes along both axes. Shape change has been magnified by two for increased visualization.

FIGURE 3 in Testing spatial and environmental factors to explain body shape variation in the widespread Central American Blackbelt cichlid Vieja maculicauda (Teleostei: Cichlidae)

FIGURE 3 | Principal component analysis of size-corrected shape and deformation grids along each axis.

FIGURE 2 in Testing spatial and environmental factors to explain body shape variation in the widespread Central American Blackbelt cichlid Vieja maculicauda (Teleostei: Cichlidae)

FIGURE 2 | Landmarks (in blue) and semilandmarks (in red) as placed on each specimen. Landmark positions are described on Tab. S1.

opencc-zeroJan 2024View details →

Linked collectors and determiners for: Contribution to the Trichoptera fauna of the river La Vieja, Bogotá, Colombia (Insecta: Trichoptera).

Natural history specimen data linked to collectors and determiners held within, "Contribution to the Trichoptera fauna of the river La Vieja, Bogotá, Colombia (Insecta: Trichoptera)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/cffb097a-824a-4a4d-9e24-1962e7e14021">https://bionomia.net/dataset/cffb097a-824a-4a4d-9e24-1962e7e14021</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/cffb097a-824a-4a4d-9e24-1962e7e14021">https://gbif.org/dataset/cffb097a-824a-4a4d-9e24-1962e7e14021</a>. Formatted as a Frictionless Data package.

opencc-by-4.0Dec 2022View details →

Drone survey, time-lapse camera, and satellite SAR data covering the 2021 summit craters and late fractures at Tajogaite volcano, Cumbre Vieja, La Palma

A new eruption started on 19 September 2021 at the Tajogaite volcano, which is at the western flank of the Cumbre Vieja, just 1•5km to the north of the vents of the 1949 eruption, and terminated after 85 days on 13 December 2021. The location of the 2021 eruption at the Cumbre Vieja was not foreseen, although a diffuse unrest was identified years before already. At the location of the eruption, the slope of the edifice was gentle, but a number of older vents, mostly open to the west, were evident. Here we present field and satellite data showing (a) the development of the craters at the summit of the evolving Tajogaite volcano, and (b) the formation of a pronounced structural trend interpreted to be related to tensile faulting during the late stage of the eruption. Data contains: <ol> <li>Drone data acquired by DJI drones (Phantom RTK and Mavic2) during two periods showing the summit craters and the tensile fracture set in detail.</li> <li>Time-lapse camera records from the east and the north-northeast showing eruption and morphology changes.</li> <li>Satellite radar amplitude data acquired in three different geometries (2 ascending and 1 descending track) of the Cosmo Skymed Satellite constellation</li> </ol> Use data without restriction but cite our work; for details on acquisition geometries and maps refer to the papers published by: <ul> <li>Walter, T.R.; Zorn, E.Z.; Gonzalez, P.J.; Sansosti, E.; Munoz, V.; Shevchenko, A.V.; Plank, S.; Reale, D.; Richter, N. (in press) Late complex tensile fracturing interacts with topography at Cumbre Vieja, La Palma, VOLCANICA 5(2): 300–316. https://doi.org/10.30909/vol.05.02.300</li> <li>Muñoz, V.; Walter, T.R.; Zorn, E.U.; Shevchenko, A.V.; González, P.J.; Reale, D.; Sansosti, E. Satellite Radar and Camera Time Series Reveal Transition from Aligned to Distributed Crater Arrangement during the 2021 Eruption of Cumbre Vieja, La Palma (Spain). Remote Sens. 2022, 14, 6168. https://doi.org/10.3390/rs14236168</li> </ul>