Resultados de investigación

Published as part of Battiston, Roberto, Ortego, Joaquín, Correas, José R. & Cordero, Pedro J., 2014, A revision of Apteromantis (Mantodea: Mantidae, Amelinae): A comprehensive approach to manage old taxonomic and conservation problems, pp. 65-77 in Zootaxa 3797 (1) on page 69, DOI: 10.11646/zootaxa.3797.1.8, http://zenodo.org/record/4915383, FIGURE 2. Mean (± S.E.) of (A) Female head shape and (B) male genitalia shape for A. aptera and A. bolivari based on the first principal component scores (PC1) extracted from Fourier analyses., Peer reviewed

Published as part of Battiston, Roberto, Ortego, Joaquín, Correas, José R. & Cordero, Pedro J., 2014, A revision of Apteromantis (Mantodea: Mantidae, Amelinae): A comprehensive approach to manage old taxonomic and conservation problems, pp. 65-77 in Zootaxa 3797 (1) on page 73, DOI: 10.11646/zootaxa.3797.1.8, http://zenodo.org/record/4915383, FIGURE 6. Phylograms showing the relationships between Apteromantis aptera and A. bolivari haplotypes for the COI mitochondrial gene using minimum evolution (ME, above branches) and neighbour-joining (NJ, below branches) methods. Only bootstrap support values over 60% are shown. The tree was rooted with a sequence of Ameles sp., Peer reviewed

Published as part of Battiston, Roberto, Ortego, Joaquín, Correas, José R. & Cordero, Pedro J., 2014, A revision of Apteromantis (Mantodea: Mantidae, Amelinae): A comprehensive approach to manage old taxonomic and conservation problems, pp. 65-77 in Zootaxa 3797 (1) on page 70, DOI: 10.11646/zootaxa.3797.1.8, http://zenodo.org/record/4915383, FIGURE 3. Variation in (a) female head and (b) male genitalia shape along the first principal component (PC1) extracted from Fourier analyses. The last three columns show the case where the score takes –2 standard deviations (S.D.), mean, and +2 S.D., respectively. The first column shows the overlapped drawing for these three cases., Peer reviewed

Se presentan los datos del catálogo de los ejemplares ibéricos del género Sphingonotus Fieber, 1852 (Orthoptera: Acrididae: Oedipodinae) conservados en la Colección de Entomología del Museo Nacional de Ciencias Naturales de Madrid (MNCN-CSIC). En esta colección se conservan desde los ejemplares más antiguos examinados y publicados por los pioneros en la ortopterología ibérica, hasta los más recientes que han servido para aportar interesantes novedades al conocimiento del género. Todos los ejemplares han sido revisados e identificados de acuerdo al conocimiento actual de este complicado grupo., Peer reviewed

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30 pages, 11 figures, 10 tables.-- This work is distributed under the Creative Commons Attribution 4.0 License, The Global Ocean Data Analysis Project (GLODAP) is a synthesis effort providing regular compilations of surface-to-bottom ocean biogeochemical bottle data, with an emphasis on seawater inorganic carbon chemistry and related variables determined through chemical analysis of seawater samples. GLODAPv2.2022 is an update of the previous version, GLODAPv2.2021 (Lauvset et al., 2021). The major changes are as follows: data from 96 new cruises were added, data coverage was extended until 2021, and for the first time we performed secondary quality control on all sulfur hexafluoride (SF6) data. In addition, a number of changes were made to data included in GLODAPv2.2021. These changes affect specifically the SF6 data, which are now subjected to secondary quality control, and carbon data measured on board the RV Knorr in the Indian Ocean in 1994-1995 which are now adjusted using certified reference material (CRM) measurements made at the time. GLODAPv2.2022 includes measurements from almost 1.4 million water samples from the global oceans collected on 1085 cruises. The data for the now 13 GLODAP core variables (salinity, oxygen, nitrate, silicate, phosphate, dissolved inorganic carbon, total alkalinity, pH, chlorofluorocarbon-11 (CFC-11), CFC-12, CFC-113, CCl4, and SF6) have undergone extensive quality control with a focus on systematic evaluation of bias. The data are available in two formats: (i) as submitted by the data originator but converted to World Ocean Circulation Experiment (WOCE) exchange format and (ii) as a merged data product with adjustments applied to minimize bias. For the present annual update, adjustments for the 96 new cruises were derived by comparing those data with the data from the 989 quality-controlled cruises in the GLODAPv2.2021 data product using crossover analysis. SF6 data from all cruises were evaluated by comparison with CFC-12 data measured on the same cruises. For nutrients and ocean carbon dioxide (CO2) chemistry comparisons to estimates based on empirical algorithms provided additional context for adjustment decisions. The adjustments that we applied are intended to remove potential biases from errors related to measurement, calibration, and data handling practices without removing known or likely time trends or variations in the variables evaluated. The compiled and adjusted data product is believed to be consistent to better than 0.005 in salinity, 1% in oxygen, 2% in nitrate, 2% in silicate, 2% in phosphate, 4μmolkg-1 in dissolved inorganic carbon, 4μmolkg-1 in total alkalinity, 0.01-0.02 in pH (depending on region), and 5% in the halogenated transient tracers. The other variables included in the compilation, such as isotopic tracers and discrete CO2 fugacity (fCO2), were not subjected to bias comparison or adjustments. The original data, their documentation, and DOI codes are available at the Ocean Carbon and Acidification Data System of NOAA NCEI (https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system/oceans/GLODAPv2-2022/, last access: 15 August 2022). This site also provides access to the merged data product, which is provided as a single global file and as four regional ones - the Arctic, Atlantic, Indian, and Pacific oceans - under 10.25921/1f4w-0t92 (Lauvset et al., 2022). These bias-adjusted product files also include significant ancillary and approximated data, which were obtained by interpolation of, or calculation from, measured data. This living data update documents the GLODAPv2.2022 methods and provides a broad overview of the secondary quality control procedures and results., Nico Lange was funded by EU Horizon 2020 through the EuroSea action (grant agreement 862626). Siv K. Lauvset acknowledges internal strategic funding from NORCE Climate. Leticia Cotrim da Cunha was supported by Prociencia/UERJ 2022-2024 and CNPq/PQ2 309708/2021-4 grants. Marta Álvarez was supported by IEO RADPROF project. Peter J. Brown was partly funded by the UK Climate Linked Atlantic Sector Science (CLASS) NERC National Capability Long-term Single Centre Science Programme (grant NE/R015953/1). Anton Velo and Fiz F. Pérez were supported by BOCATS2 (PID2019-104279GB-C21) project funded by MCIN/AEI/10.13039/501100011033 and contributing to WATER:iOS CSIC PTI. Funding for Li-Qing Jiang and the CODAP-NA development team (Simone R. Alin, Leticia Barbero, Richard A. Feely, Brendan R. Carter) comes from the NOAA Ocean Acidification Program (OAP, project number: OAP 1903-1903) and NOAA National Centers for Environmental Information (NCEI). Brendan R. Carter thanks the Global Ocean Monitoring and Observing (GOMO) program of the National Oceanic and Atmospheric Administration (NOAA) for funding their contributions (project no. 100007298) through the Cooperative Institute for Climate, Ocean, & Ecosystem Studies (CIOCES) under NOAA Cooperative Agreement NA20OAR4320271, contribution no. 2022-2012. Richard A. Feely and Simone R. Alin acknowledge the NOAA GOMO (project no. 100007298) and the NOAA Pacific Marine Environmental Laboratory. Henry C. Bittig gratefully acknowledges financial support by the BONUS INTEGRAL project (grant no. 03F0773A). Bronte Tilbrook was supported through the Australian Antarctic Program Partnership and the Integrated Marine Observing System. Matthew P. Humphreys acknowledges EU Horizon 2020 action SO-CHIC (grant no. 821001). Adam Ulfsbo was supported by the Swedish Research Council FORMAS (grant no. 2018-01398). Jens Daniel Müller acknowledges support from the European Union's Horizon 2020 research and innovation program under grant agreement no. 821003 (project 4C). Alex Kozyr and Li-Qing Jiang were supported by NOAA grant NA19NES4320002 (Cooperative Institute for Satellite Earth System Studies – CISESS) at the University of Maryland/ESSIC. GLODAP also acknowledge funding from the Initiative and Networking Fund of the Helmholtz Association through the project “Digital Earth” (ZT-0025) and from the United States National Science Foundation grant OCE-2140395 to the Scientific Committee on Oceanic Research (SCOR, United States) for International Ocean Carbon Coordination Project. The contribution of Leticia Barbero was carried out under the auspices of CIMAS and NOAA, cooperative agreement no. NA20OAR4320472, Peer reviewed

This item is made of 2 files: the dataset in netcdf format, a Readme.txt file including a small description of the computed variables, and 4 figures representing the buoy and the three experiments.-- Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), GPS fixes of the drifts of manufactured buoys (GPRS) under Radar On Raia Project. These buoys were used in three short experiments (< 2 day) in July - september 2022 in order to collect lagrangian observations of the superficial currents of Ría de Vigo. The data collected can also be used to validate the data collected by the HF Radar of RAIA_Vigo system. http://radaronraia.eu/, Funding for this experiments were provided by Project 𝐏𝐈𝐃𝟐𝟎𝟏𝟗-𝟏𝟎𝟔𝟎𝟎𝟖𝐑𝐁-𝐂𝟐𝟏, funded by MCIN/AEI/10.13039/501100011033 in the R&D Projects “Research Challenges” modality, Peer reviewed

This item is made of 2 files: the dataset in netcdf format, a Readme.txt file including a small description of the computed variables, and 1 figure showing the instrument used, Wave parameters obtained from ACDP currents of a RDI 600-kHz Workhorse Acoustic Doppler Current Profiler (ADCP) in Cabo do Mar from November 2020 to December 2020 under the framework of the STRAUSS project in order to evaluate the effects of ocean waves in selected biological case studies of the Rías Baixas Upwelling System, Funding for this deployment was provided by Project 𝐏𝐈𝐃𝟐𝟎𝟏𝟗-𝟏𝟎𝟔𝟎𝟎𝟖𝐑𝐁-𝐂𝟐𝟏, funded by MCIN/AEI/10.13039/501100011033 in the R&D Projects “Research Challenges” modality, Peer reviewed

This item is made of 2 files: the dataset in netcdf format, a Readme.txt file including a small description of the computed variables, and 1 figure showing the instrument used, Wave parameters obtained from ACDP currents of a RDI 600-kHz Workhorse Acoustic Doppler Current Profiler (ADCP) in Cabo do Mar from October 2020 to November 2020 under the framework of the STRAUSS project in order to evaluate the effects of ocean waves in selected biological case studies of the Rías Baixas Upwelling System, Funding for this deployment was provided by Project 𝐏𝐈𝐃𝟐𝟎𝟏𝟗-𝟏𝟎𝟔𝟎𝟎𝟖𝐑𝐁-𝐂𝟐𝟏, funded by MCIN/AEI/10.13039/501100011033 in the R&D Projects “Research Challenges” modality, Peer reviewed