Resultados de investigación

1 file.-- The file includes metadata indicating units, the position of the selected stations and the origin of the data, File containing time series of daily values of coastal winds, upwelling index (offshore Ekman transport), continental runoff, solar irradiance and sea surface temperature for selected sites in the NW Galician coast (NW Spain). These data can be freely downloaded from the web sites of the Galician Meteorological Agency MeteoGalicia (http://www.meteogalicia.es), the Instituto Español de Oceanografía (http://www.indicedeafloramiento.ieo.es) and ICOADS (http://icoads.noaa.gov). We just put them together in a single file, European Commission: ClimeFish - Co-creating a decision support framework to ensure sustainable fish production in Europe under climate change (677039), No

1 file, Flesh yield of commercial mussels cultured in the Ría de Ares-Betanzos (A Coruña, NW Spain). The flesh yield is calculated as the percentage of the total weight of 1 kg of live mussels > 50 mm collected in a mussel raft that is meat weight after opening the valves with water vapour. Flesh yield data have been aggregated monthly and the seasonal cycle of each year has been adjusted to the following harmonic function: FY (%) = A1 + A2* cosine (2*Pi*t/12 + A3) where A1 is the seasonal average value of FY, A2 is half the amplitude of the seasonal cycle of FY; and A3 is the month of the year when FY is halfway between the seasonal minimum and the seasonal maximum. The values of A1, A2 and A3 for years 2002 to 2012 are reported for the two mussel cultivation areas of the Ría de Ares-Betanzos (Arnela and Lorbé) These data have been published in X.A. Álvarez-Salgado, U. Labarta, V. Vinseiro and M.J. Fernández Reiriz (2017). Environmental drivers of mussels flesh yield in a coastal upwelling system. Ecological Indicators 79, 323-329., EU H2020 project ClimeFish (EU 677039), PROINSA-CSIC contract (CSIC0704101100001), and CSIC project (PIE 201540E107), No

1 file, Number of days per month that the mussel cultivation areas of the Ría de Areas-Betanzos (A Coruña, NW Spain), Arnela and Lorbé, have been closed to mussel extraction. The toxicity causing the closures (ASP, DSP and PSP) is also indicated. Data covers the period from 2000 to 2007, Contract-project PROINSA Mussel Farm, codes CSIC 20061089 & 0704101100001, and Xunta de Galicia PGIDIT06RMA018E & PGIDIT09MMA038E, No

Conjunto de 4 ficheros (3 tablas suplementarias y una figura suplementaria)., This research was funded by Grants AGL2014-53195-R from Ministerio de Economía y Competitividad and AGL2017-85368-P from Ministerio de Ciencia, Innovación y Universidades. Both projects are cofounded by FEDER. DHM is member of CaRed Network funded byMinisterio de Economía y Competitividad (BIO2015-71703-REDT and BIO2017-90877-REDT) and participates in EUROCAROTEN COST Action (CA15136). CMA and SGA are members of FiRCMe Network, funded by Ministerio de Economía y Competitividad (AGL2016-81855-REDT)., Peer reviewed

[Methods] Data obtained from an acoustic telemetry experiment. The acoustic detection sequence was imported to R software to apply a Hidden Markov Model to separate the active and rest states and obtain the circadian-related traits., This dataset contains the necessary data to replicate the work entitled 'Circadian-related behavioural types in free-living marine fish revealed by high-throughput telemetry'. The data were obtained through a high-resolution acoustic telemetry experiment tracking a population of pearly razorfish between April and September 2019. The time series of detections were imported into the R computing environment. We discretized the detections generated by the individuals into bins of 5 minutes (time-steps). We fitted a Hidden Markov Model (HMM) to probabilistically assign two behavioural states to each temporal bin: rest (R) or active (A). We used a zero-inflated Poisson HMM implemented in the ziphsmm package. During these months, two different periods in the reproduction of this species were included: the pre-spawning period and the spawning period. For this purpose, the data were separated into two different datasets: the pre-spawning period dataset, which contains all individuals tracked for at least seven days between April 30 and May 31, and the spawning period dataset, which includes all individuals tracked for at least seven days between June 15 and July 31. The data between June 1 and June 15 were discarded due to maintenance tasks on the acoustic receivers. The data from August and September were discarded due to low data yields. Finally, a third dataset was created, which includes individuals tracked for at least seven days in each period. The three datasets are configured in the same manner, with ID as the identifier for each individual, Day as the tracking date, Dayn as the day of the trial, Awakening Time as the activity onset time in minutes relative to sunrise, Rest Onset as the rest onset time in minutes relative to sunset, RelActivityDuration as the active hours (calculated as the difference between the awakening time and rest onset) relative to daylight hours (calculated as the difference between sunrise and sunset), RelRestDuration as the resting hours (calculated as the difference between the rest onset time and awakening time of the next day) relative to night hours (calculated as the difference between sunset and sunrise of the next day), RelRestMidpoint as the midpoint of the rest relative to the middle of the night, Sex, Size (cm), Period, CHL as the concentration of chlorophyll (Relative Fluorescence Units, RFU), CurrentDirection as the direction in degrees of the surface current, CurrentSpeed as the speed in m/s of the surface current, Light as the daily mean light (lux), O2 as the concentration of dissolved oxygen in water (mV), Salinity (PSU), Temperature as the daily mean temperature (ºC), WavesHeight as the daily mean wave height (m), and WindSpeed as the speed in m/s of the wind., The research was carried out within the framework of the activities of the Spanish Government through the "Maria de Maeztu Centre of Excellence" accreditation to IMEDEA (CSIC-UIB) (CEX2021-001198). The CLOCKS I+D+I project funded this work (grant no. PID2019-104940GA-I00) funded by MCIN/AEI/10.13039/501100011033 and the FSE invierte en tu futuro. The telemetry system was financed by the German Federal Ministry of Education and Research (Grant No. #033W024A)., With funding from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2021-001198)., Pre-Spawning_Dataset, Spawning_Dataset, BothPeriods_Dataset., Peer reviewed

English: This Collection of Botanical Iconography of the 18th century is the most relevant of the Flora of Colombia, and one of the best in the world, both from a scientific and artistic point of view. These are the original drawings made by the artists of the Expedition of the Royal Botanic Expedition of the New Kingdom of Granada, under the direction of José Celestino Mutis. During thirty years, the expeditionaries collected specimens in the territories of Colombia and Ecuador, which were illustrated by the artists. As a result this collection has reached our days, and has been admired by scientists like Carlos Linnaeus and Alexander von Humboldt. Since 2002, it has been recognized by the UNESCO as Memory of the World Register for Latin America and the Caribbean (MOWLAC).The data set includes information belonging to 5,796 records from a total of 7,167, including the scientific name, as well as subsequent identifications and revisions made by the specialists of the "Flora of the New Kingdom of Granada". This work is divided in various volumes in publishing process since 1952 thanks to an agreement between the Spanish and Colombian governments. Español: Esta colección de iconografía botánica del siglo XVIII es la más relevante para la flora de Colombia, pero también una de las mejores del mundo, tanto desde el punto de vista científico como artístico. Se trata de los dibujos originales realizados por los artistas de la Real Expedición Botánica del Nuevo Reino de Granada, bajo la dirección de José Celestino Mutis. Durante treinta años los expedicionarios recolectaron especímenes en los territorios de Colombia y Ecuador, que fueron ilustrados por los artistas. El resultado fue esta colección, ya en su momento admirada por científicos de la talla de Carlos Linneo y Alexander von Humboldt. Desde el año 2002, tiene el reconocimiento del Registro de Memoria del Mundo de la UNESCO para América Latina y el Caribe (MOWLAC). El conjunto de datos que se ofrece incluye información de 5.796 registros de un total de 7.167, incluyendo el nombre científico y las identificaciones y revisiones posteriores, realizadas por los especialistas de la “Flora del Nuevo Reino de Granada”, obra que se viene publicando desde 1952 gracias a un acuerdo entre los gobiernos de España y Colombia.

Biodiversity Literature Repository, Peer reviewed

Biodiversity Literature Repository, Peer reviewed

The data correspond to snow bulk density and snow depth measured with different snow core sampler in three field campaigns carried out in mountains of Turkey, Iceland and Finland in order to assess the uncertainty of using different snow core samplers and different observers. The field campaigns were carried out in the frame of the COST project HARMOSNOW ES1404 http://harmosnow.eu/, Peer reviewed

We include several tables on research in probiotics, including the number of funded and unfunded published articles and the number of citations during the period under study (2009-2018); 1829 different journals; thematic areas of the journals in which the works were published; countries of publication and key words., Peer reviewed