Resultados de investigación

Datos de presencia de garrapatas blandas Ornithodoros maritimus en colonias de gaviota patiamarilla, gaviota de audouin y paíño europeo. Las garrapatas se buscaron en los nidos de gaviotas y en el suelo o en los polluelos de las colonias de paíño., Fuentes de Financiación: Proyectos de Biodiversidad enmarcados dentro de los Planes Complementarios (Componente 17) de los PRTR (2023-2025) – Govern Balear, Peer reviewed

Bacterial and fungal ASVs (Amplicon Sequence Variant) that inhabit the rhizosphere soil and root endosphere of Pinus sylvestris trees affected by forest decline and asymptomatic individuals. Trees are located in the National Park of Sierra Nevada, Natural Park of Sierra de Baza, and Natural Park of Sierras de Almijara, Tejeda y Alhama (Granada, Southeast Spain). Furthermore, the physico-chemical properties of the soil close to the roots of each tree are included., This study was funded by MICINN through European Regional Development Fund [SUMHAL, LIFEWATCH-2019-09-CSIC-4, POPE 2014-2020] and by the Spanish Ministry of Economy, Industry and Competitiveness [AGL2015-66048-C2-1-R; RTI2018-098015-B-I00]. To be referred from 2023 onwards as SUMHAL, LIFEWATCH-2019-09-CSIC-4, POPE 2014-2020., Peer reviewed

This work was supported by the CHALLENGE (PID2019-107979RB-100 funded by MICIU/AEI/10.13039/501100011033) and CHALLENGE-2 (PID2022-141628NB-I00 funded by MICIU/AEI/10.13039/501100011033) research grants from the Spanish Government and by European Regional Development Fund (ERDF-EU). The ‘Marine Biodiversity and Evolution’ SGR (Research Quality Group) funding of the Generalitat de Catalunya (MBE; 2021SGR01271) also supported this work. MB acknowledges financial support from Agencia Nacional de Investigacion y Desarrollo (ANID), Becas Chile para Doctorado en el extranjero 72220140. AP acknowledges financial support from an FPI Grant (PRE2019-091200) funded by MICIU/AEI/10.13039/501100011033 and by ‘ESF Investing in your future’. MG-P acknowledges financial support from a FI-SDUR 2021 fellowship from the Departament de Recerca i Universitats of the Catalan Government (Generalitat de Catalunya). PM-R acknowledges financial support from PREDOCS-UB. TA-G acknowledges financial support from a Severo Ochoa FPI Grant PRE2020-096185 funded by MCIN/AEI/10.13039/501100011033 and by ‘ESF Investing in your future’. AA-M acknowledges funding from the CHALLENGE project during this work. JG was funded by an ongoing collaborative protocol signed with CRÉOCÉAN (France), This work contributes to the Institut de Ciències del Mar "Severo Ochoa Centre of Excellence" accreditation CEX2024-001494-S funded by AEI 10.13039/501100011033 of the Spanish Ministry of Science and Innovation, Peer reviewed

This work contributes to the Institut de Ciències del Mar "Severo Ochoa Centre of Excellence" accreditation CEX2024-001494-S funded by AEI 10.13039/501100011033 of the Spanish Ministry of Science and Innovation, Peer reviewed

[EN] This is the experimental dataset used in the paper “Biotribocorrosion of CoCr Surfaces Using Hyaluronic Acid functionalized with Graphene Oxide nanoadditive as hybrid lubricants", that include tribocorrosion and electrochemical impedance tests. Tribocorrosion tests were carried out in a pin-on-disk tribometer. The experiments were conducted under a normal load of 5 N, a rotational speed of 120 rpm, following a circular sliding path with a radius of 7 mm and covering a total sliding of 15,000 meters. The dataset includes the experimental results of the tribocorrosion behaviour of CoCr surfaces immersed in the next lubricant media: 3 g/L hyaluronic acid (CoCr_bola_CoCr_HA1 and 2); 4 g/L graphene oxide (CoCr_bola_CoCr_GO1, -2 and -3); 3 g/L HA + 0.006 wt.% GO (CoCr_bola_CoCrHA3OG2%-1 and -2): 3 g/L HA + 0.012 wt.% GO (CoCr_bola_CoCrHA3OG4%-1, -2 and -3); 3 g/L HA + 0.024 wt.% GO (CoCr_bola_CoCrHA3OG8%-1 and -2). Electrochemical impedance spectroscopy measurements of CoCr surfaces in 3 g/L HA, 4 g/L GO and 3 g/L HA + 0.012 wt.% GO was carried out for 7 days. Impedance tests were performed in a three-electrode electrochemical cell with the modified CoCr surfaces acting as the working electrode, a Pt wire acting as counter electrode, and Ag/AgCl (3 M KCl) as a reference electrode. A Gamry potentiostat/galvanostat was used to generate a sinusoidal wave of 10 mV amplitude in the frequency range 100 kHz to 1 mHz, logarithmically spaced by 5 points/decade, which was applied at the corrosion potential Ecorr. This data set includes the results of the coefficient of friction and electrochemical impedance data obtained for CoCr surfaces immersed in the previously described lubricant media. COF files are composed of 6 columns: force, temperature, revolutions, COF, sliding and time. Nyquist impedance files are composed of 3 columns: frequency, real impedance (Z') and imaginary impedance (Z''). Bode impedance files are composed of 3 columns: frequency, Impedance modulus (Z) and phase angle (Phase). All files are in open extension such as .asc and are protected by a Creative Commons Attribution 4.0 International (CC BY 4.0) licence., [ES] Este es el conjunto de datos experimentales utilizado en el artículo “Biotribocorrosión de superficies de CoCr utilizando ácido hialurónico funcionalizado con nano-aditivo de óxido de grafeno como lubricantes híbridos”, el cual incluye ensayos de tribocorrosión y de impedancia electroquímica. Los ensayos de tribocorrosión se realizaron en un tribómetro tipo pin-on-disk. Los experimentos se llevaron a cabo bajo una carga normal de 5 N, con una velocidad de rotación de 120 rpm, siguiendo una trayectoria circular de deslizamiento con un radio de 7 mm, y alcanzando un deslizamiento total de 15 000 metros. El conjunto de datos incluye los resultados experimentales del comportamiento a tribocorrosión de superficies de CoCr inmersas en los siguientes medios lubricantes: 3 g/L de ácido hialurónico (CoCr_bola_CoCr_HA1 y 2); 4 g/L de óxido de grafeno (CoCr_bola_CoCr_GO1, -2 y -3); 3 g/L de HA + 0,006 % en peso de GO (CoCr_bola_CoCrHA3OG2%-1 y -2); 3 g/L de HA + 0,012 % en peso de GO (CoCr_bola_CoCrHA3OG4%-1, -2 y -3); 3 g/L de HA + 0,024 % en peso de GO (CoCr_bola_CoCrHA3OG8%-1 y -2). Las medidas de espectroscopía de impedancia electroquímica (EIS) de las superficies de CoCr en 3 g/L de HA, 4 g/L GO y 3 g/L de HA + 0,012 % en peso de GO se realizaron durante 7 días. Los ensayos de impedancia se efectuaron en una celda electroquímica de tres electrodos, donde: la superficie modificada de CoCr actuó como electrodo de trabajo, un hilo de platino (Pt) se utilizó como contraelectrodo, y un electrodo de referencia Ag/AgCl (3 M KCl). Se empleó un potenciostato/galvanostato Gamry para generar una onda sinusoidal de 10 mV de amplitud, en un rango de frecuencias de 100 kHz a 1 mHz, distribuidas logarítmicamente con 5 puntos por década, aplicadas en el potencial de corrosión (Ecorr). Este conjunto de datos incluye los resultados del coeficiente de fricción (COF) y los datos de impedancia electroquímica obtenidos para las superficies de CoCr inmersas en los medios lubricantes descritos anteriormente. Los archivos de COF están compuestos por 6 columnas: fuerza, temperatura, revoluciones, COF, deslizamiento y tiempo. Los archivos de impedancia de Nyquist contienen 3 columnas: frecuencia, impedancia real (Z’) e impedancia imaginaria (Z’’). Los archivos de impedancia de Bode contienen 3 columnas: frecuencia, módulo de impedancia (|Z|) y ángulo de fase (Phase). Todos los archivos se encuentran en formato abierto (.asc) y están protegidos por una licencia Creative Commons Attribution 4.0 International (CC BY 4.0)., [EN] This is the experimental dataset used in the paper “Biotribocorrosion of CoCr Surfaces Using Hyaluronic Acid functionalized with Graphene Oxide nanoadditive as hybrid lubricants". The article includes the experimental results of the tribocorrosion behaviour of CoCr surfaces immersed in the next lubricant media: 3 g/L hyaluronic acid (CoCr_bola_CoCr_HA1 and 2); 4 g/L graphene oxide (CoCr_bola_CoCr_GO1, -2 and -3); 3 g/L HA + 0.006 wt.% GO (CoCr_bola_CoCrHA3OG2%-1 and -2): 3 g/L HA + 0.012 wt.% GO (CoCr_bola_CoCrHA3OG4%-1, -2 and -3); 3 g/L HA + 0.024 wt.% GO (CoCr_bola_CoCrHA3OG8%-1 and -2). Subsequently, electrochemical impedance spectroscopy measurements of CoCr surfaces in 3 g/L HA, 4 g/L GO and 3 g/L HA + 0.012 wt.% GO was carried out for several days. This data set includes the results of the coefficient of friction and electrochemical impedance data obtained for CoCr surfaces immersed in the previously described lubricant media., [ES] Este es el conjunto de datos experimentales utilizado en el artículo “Biotribocorrosión de superficies de CoCr utilizando ácido hialurónico funcionalizado con nano-aditivo de óxido de grafeno como lubricantes híbridos”. El artículo incluye los resultados experimentales del comportamiento tribocorrosivo de superficies de CoCr inmersas en los siguientes medios lubricantes: 3 g/L de ácido hialurónico (CoCr_bola_CoCr_HA1 y 2); 4 g/L de óxido de grafeno (CoCr_bola_CoCr_GO1, -2 y -3); 3 g/L de HA + 0,006 % en peso de GO (CoCr_bola_CoCrHA3OG2%-1 y -2); 3 g/L de HA + 0,012 % en peso de GO (CoCr_bola_CoCrHA3OG4%-1, -2 y -3); 3 g/L de HA+ 0,024 % en peso de GO (CoCr_bola_CoCrHA3OG8%-1 y -2). Posteriormente, se realizaron ensayos de espectroscopía de impedancia electroquímica (EIS) de las superficies de CoCr en 3 g/L de HA, 4 g/L de GO y 3 g/L de HA + 0,012 % en peso de GO durante varios días. Este conjunto de datos incluye los resultados del coeficiente de fricción y los datos de impedancia electroquímica obtenidos para las superficies de CoCr inmersas en los medios lubricantes descritos anteriormente., Spanish Ministry of Science, Innovation and Universities [RTI2018-101506-B-C31], Peer reviewed

2 files, This dataset contains hydrographic and velocity measurements collected during the eIMPACT2 survey in November 2022. The data were acquired from ship-based CTD-O casts (conducted using both a rosette and a SeaSoar system) and VMADCP observations in the Canary Eddy Corridor, with a focus on the Bentayga intrathermocline eddy, Ministerio de Ciencia, Innovación y Universidades, AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-109084RB-C21; Ministerio de Ciencia, Innovación y Universidades, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-109084RB-C22, Peer reviewed

This dataset is the alpine treeline species dataset constructed in the study "Keys to the global treeline formation: thermal limit for its position and moisture for the taxon-specific variation". It comprised 2,235 records of tree-form species on treelines from 739 studies since 1980, including a total of 114 tree species belonging to 22 genera and 10 families across 38 mountain regions and 43 countries. Please refer to the "README.txt" file for details on the methodology used to construct this dataset., Yunnan Province Basic Science and Technology Plan Special Project (202302A0370016) Second Tibetan Plateau Scientific Expedition and Research Program (STEP) (2019QZKK0402), Peer reviewed

The dataset EURO-CARBON_Dataset_v1.0 contains some errors and a new version including the changes below is being prepared ASAP (no later than 31 August 2025). In the meantime, we recommend making the following changes before using the database: - The dry bulk density values in the following cells should be removed: 46326-46596 - Entries marked as “Bare sediment” in “Habitat” should be changed to “Seagrass (Zostera marina)”. - Please also add a note indicating whether the Zostera marina beds were sparse or dense: 30554-30562 (Dense); 30563-30572 (Sparse) ; 30581-50588 (Dense); 30589- 30597 (Sparse); 30607-30615 (Dense); 30616-30617 (Sparse); 30627-30630 (Dense); 30631-30639 (Sparse); 30649-30656 (Dense); 30657-30664 (Sparse); 30671-30676 (Dense); 30683-30689 (Sparse); 30690-30696 (Dense); 30697-30703 (Sparse); 30710-30716 (Dense); 30725-30736 (Sparse); 30737-30740 (Dense); 30741-30742 (Sparse); 30743-30744 (Dense); 30751-30756 (Sparse); 30763-30768 (Dense); 30769-30774 (Sparse); 30775-30780 (Dense); 30788-30796 (Sparse); 30797-30803 (Dense); 30810-30815 (Sparse); 30823-30834 (Dense); 30835-30841 (Sparse); 30848-30849 (Sparse); 30850- 30853 (Dense); 30854-30855 (Sparse); 30862-30865 (Sparse); 30866-30869 (Dense); 30876-30882 (Sparse); 30883-30889 (Dense); 30897-30898 (Sparse); 30899-30901 (Dense); 30902-30904 (Sparse); 30910-30914 (Dense); 30915- 30916 (Sparse); 30917-30918 (Dense); 30919-30922 (Sparse); 30929-30934 (Sparse); 30935-30941 (Dense). - Please note that the column of MAR (g/cm2/year) and the associated MAR_se column includes several unit inconsistencies. We recommend not using these columns unless the following corrections are made: 12445-12469: MAR values are reported in g/cm2/ka instead of g/cm2/year; 29652-29765; MAR values are reported in g/m2/year instead of g/cm2/year; 37970-37993: MAR values should be deleted; 38018-38036: MAR values should be deleted; 38095-38118: MAR values should be deleted; 43520-43526: All MAR values in this core should be 0.017g/cm2/year; 43534-43541: All MAR values in this core should be 0.019 g/cm2/year; 43549-43558: All MAR values in this core should be 0.074 g/cm2/year; 43563-43572: All MAR values in this core should be 0.069 g/cm2/year; 48987-50177: MAR values are reported in g/cm2/ka instead of g/cm2/year; 50306-50339: MAR values are reported in g/cm2/ka instead of g/cm2/year; 50434-50534: MAR values are reported in g/cm2/ka instead of g/cm2/year. - Please in 50434-50534 replace the wrong DOI with Correct: https://doi.pangaea.de/10.1594/PANGAEA.55155, This is document is part of a deliverable not yet approved by the European Commission. The file represents the first “EURO-CARBON” full dataset on blue carbon in marine sediments of the European seas, which is described in detailed in the paper Graversen et al. (2025) A marine and salt marsh sediment organic carbon database for European regional seas (EURO-CARBON) Data in Brief Volume 60, June 2025, 111595, https://doi.org/10.1016/j.dib.2025.111595, This work contributes to the Institut de Ciències del Mar "Severo Ochoa Centre of Excellence" accreditation CEX2024-001494-S funded by AEI 10.13039/501100011033 of the Spanish Ministry of Science and Innovation, Peer reviewed

Detection and diagnosis of seed-borne diseases utilising machine learning enhanced gas plasma integrated multispectral imaging (DeTecSeeD), Biotechnology and Biological Sciences Research Council, Peer reviewed

Peer reviewed