BUSCADOR RECOLECTA

The dataset is comprised of: downwelling diffuse attenuation coefficients, Z10%, aCDOM and ap., Peer reviewed

The dataset is comprised of: downwelling diffuse attenuation coefficients, Z10%, aCDOM and ap, Peer reviewed

Contents of this file: Figures S1 to S8 and Table S1. -- Figure S1. CDOM absorption coefficients (aCDOM, in m-1) at UV-B wavelengths 305 nm (top panel), 313 nm (middle panel), and 320 nm (bottom panel) measured during the Malaspina 2010 Expedition. Reported values are depth-weighted averages from surface waters (3 m depth) down to the 20% PAR depth. -- Figure S2. Results of the Dunn’s tests, that were performed after Kruskal-Wallis tests to identify if aCDOM (top row), ap (middle row) and ap as % of anw (bottom row) at 305 nm (left column), 313 nm (middle column) and 320 nm (right column) varied significantly (p<0.05) between Longhurst provinces during the Malaspina 2010 Expedition. For a description of the Longhurst province codes, see Fig. 1. -- Figure S3. Particulate absorption coefficients (ap, in m-1) at UV-B wavelengths 305 nm (top panel), 313 nm (middle panel), and 320 nm (bottom panel) measured during the Malaspina Expedition. Reported values are depth-weighted averages from surface waters (3 m depth) down to the 20% PAR depth. -- Figure S4. Downwelling diffuse attenuation coefficients (Kd, in m-1) for the UV-B wavelengths 305 nm (top panel), 313 nm (middle panel), and 320 nm (bottom panel) measured during the Malaspina 2010 Circumnavigation. -- Figure S5. Downwelling diffuse attenuation coefficients (Kd, in m-1) for the UV-A wavelengths 340 nm (top panel), 380 nm (middle panel), and 395 nm (bottom panel) measured during the Malaspina 2010 Expedition. -- Figure S6. Downwelling diffuse attenuation coefficients (Kd, in m-1) for the integrated PAR spectrum (400–700 nm) measured during the Malaspina 2010 Expedition. -- Figure S7. Results of the Dunn’s tests, that were performed after Kruskal-Wallis tests to identify if the downwelling diffuse attenuation coefficient (Kd) at 305, 313, 320, 340 nm varied significantly (p <0.05) between Longhurst provinces during the Malaspina 2010 Expedition. For a description of the Longhurst provinces code, see Fig. 1. -- Figure S8. Seasonal comparison between cloud fractions in the northern and southern tropics (15.5N to 15.5S) in year 2010. Bars represent monthly averages (mean  SD) of 1 x 1 sector squares between 179.5W and 179.5E (n=5760 per bar). Data were obtained from the publicly available Aqua/MODIS satellite data set curated by NASA’s Earth Observatory (https://earthobservatory.nasa.gov/global-maps/MODAL2_M_CLD_FR). WIN, SPR, SUM and AUT refer to winter, spring, summer and autumn, respectively. WIN1 represents December for the northern latitudes and June for the southern latitudes. Asterisks indicate instances where the non-paired t-test identified significantly different means at level p <0.01. -- Table S1. Slope, correlation, 95% confidence intervals and p-values determined as part of the pairwise correlation analysis with the variables sea surface temperature, Chl-a and Kd(PAR), as well as aCDOM, ap and Kd(λ) at wavelengths 305, 313 and 320 nm. For Chl-a, aCDOM and ap, depth-weighted (3 m to 20% PAR depth) average values were used for the analysis., Peer reviewed

Open access. Please, contact corresponding author in case of doubts, Description: The Malaspina2010_chlorophyll.xlsx file contains the fluorimetric chlorophyll a data of the circunnavigation expedition Malaspina 2010, which took place between 14/12/2010 and 14/07/2011 on board the BIO Hespérides. The data presented here were obtained between 16/12/2010 and 11/07/2011. The date and position of the sampling stations are listed in the third sheet of the file. Methods: Water samples for fluorimetric chlorophyll a (Chl a) determination were collected from 3 m depth with a 30-liter Niskin bottle and from selected depths between 10 and 200 m with a Rosette of 24 10-liter Niskin bottles attached to a CTD probe. Chl a determination was carried out as described in Estrada et al. (2012). Briefly, between 200 and 500 cm3 of seawater were filtered through GF/F glass fiber filters that were subsequently frozen at -20°C and, after a minimum of 6 hours, introduced in vials with acetone 90% and left for 24 hours in the dark, at 4ºC. The Chl a concentration in the acetonic extracts was measured with a Turner Designs fluorimeter calibrated with a pure Chl a standard (Sigma-Aldrich); no phaeopigment correction was applied. Size-fractionated analyses of Chl a were performed for samples from surface, the 20% surface PAR and the deep chlorophyll maximum. The analyses were carried out by sequential filtration of a 500 cm3 of seawater through Poretics (polycarbonate) membrane filters of pore sizes 20 μm, 2 μm and 0.2 μm, which were subsequently treated as the GF/F ones (Estrada, 2012), This work was supported by Consolider-Ingenio 2010, CSD2008-00077 of the former Spanish Ministerio de Ciencia e Innovación (ES) (now www.ciencia.gob.es) and the Consejo Superior de Investigaciones Científicas (CSIC) (ES)., Authors; Methods; Station positions; leg 1; leg 2; Legs 3-4; leg 5; leg 6; leg 7; References, Peer reviewed

Description: The Malaspina2010_chlorophyll.xlsx file contains the inorganic nutrient concentration data of the circunnavigation expedition Malaspina 2010, which took place between 14/12/2010 and 14/07/2011 on board the BIO Hespérides. The date and position of the sampling stations are listed in the “Data” sheet of the file. Methods: Water samples for measurement of the concentration of nitrate, nitrite (nitrate + nitrite in leg 1), phosphate and silicate were collected from 3 m depth with a 30-liter Niskin bottle and from selected depths between 10 and 200 m with a Rosette of 24 10-liter Niskin bottles attached to a CTD probe. Inorganic nutrient concentrations were determined by means of a Skalar autoanalyzer, following the standard spectrophotometric procedures described in Grasshoff et al. (1999) and Blasco et al. (2012); in leg 1, nitrite was not determined separately and phosphate was measured using a manual method (Vidal et al. 2012), This work was supported by Consolider-Ingenio 2010, CSD2008-00077 of the former Spanish Ministerio de Ciencia e Innovación (ES) (now www.ciencia.gob.es) and the Consejo Superior de Investigaciones Científicas (CSIC) (ES), Peer reviewed

A file attached provides additional information on the methodology used. This database is subject to a Creative Commons Attribution-Noncommercial-ShareAlike International licence 4.0., The data set includes published data for volumetric estimates of primary production of natural marine plankton communities produced using at least two different methods applied concurrently. Here, we present and compare the following methods: the oxygen evolution in dark and light incubations (Carpenter 1965; Carrit and Carpenter 1966), the FRRF method (Kolber and Falkowski 1993) and methods based in tracer additions (18O (Bender et al. 1987), 14C (Steeman Nielsen 1952) and 13C (Slawyk et al. 1977))., Peer reviewed

This dataset compiles narrative and quantitative evidences of impacts of warming on organisms living in the Mediterranean Sea published in the literature until year 2014 as well as sea surface temperature values. The search of evidences of impact was conducted using ISI Web of Knowledge and the keywords “ (Mediterranean) AND ((Bio* OR Eco*)) AND ((warming OR temperature)) AND ((Marine OR Ocean*)) NOT ((paleo*))”. Only evidences from articles directly attributing the changes observed in marine biota to warming are included in the dataset. The dataset comprises biological impacts observed after single warming events as well as during longer-term observations. The dataset provides information about the study conducted (i.e. year or period of years of the study, site name and geographical coordinates, spatial scale of the study, species name, taxonomic group, whether the species is sessile or mobile, native or introduced), the type, magnitude and activation energy (Brown et al. 2004) of biological responses. The values on sea surface temperature (SST) are derived from satellite images. SST is calculated as the mean august SST (SSTaugust) and as the 99th percentile of SST (SST99p) in the year and location the impact was recorded. The SST anomaly is calculated as the SST99p with respect to the averaged august temperature computed for the period 1960-1985. The calculations to estimate activation energy and detailed information about the sources of SST data are described in Marbà et al. (submitted). Access and reuse: The database is subject to a Creative Commons Attribution-Noncommercial-ShareAlike International licence 4.0. Contact person for enquiries: Núria Marbà (nmarba@imedea.uib-csic.es)., This dataset compiles narrative and quantitative evidences of impacts of warming on marine organisms in the Mediterranean Sea published until year 2014 and the sea surface temperature (SST) and SST anomaly, derived from satellite observations, at each specific location where an impact has been reported., No

The dataset provides data on survival, rhizome elongation (cm day-1), recruitment rate (day-1), net population growth rate (day-1), gross primary production (GPP; mmol 02 day-1 gDW-1), respiration (R; mmol 02 day-1 gDW-1) and net production (NP; mmol 02 day-1 gDW-1) of exotic (Greece and Cyprus; Mediterranean) and native (Saudi Arabia; Red Sea) Halophila stipulacea populations exposed to 12 seawater temperature treatments ranging from 8 to 40°C., Peer reviewed

LATITUD-I Cruise (29HE19950305) carried out on the Research Vessel Hespérides in 1995, Latitudinal patterns in the regulation of ocean plankton production. The main objective of the project is to verify the hypothesis that the metabolic and photon balances of the oceanic photic layer vary systematically with latitude. Subobjectives: 1) Development and validation of predictive models that allow us to model the relationship between respiration, net production, and light absorption properties of the planktonic community and its primary production, and describe its latitudinal variation. 2) Development and validation of bio-optic models that describe the relationship between the color of the ocean and respiration and new production of the planktonic community. 3) elucidation of the importance of the availability of resources (nutrients, carbon, light) versus consumption (herbivorism) in the regulation of planktonic production along a gradient of latitude, with the variation in the associated production

LATITUD-II Cruise (29HE19951001) carried out on the Research Vessel Hespérides in 1995, Latitudinal patterns in regulation of the oceanic plankton production. Oceanographic campaign taking advantage in transit from BIO Hesperides to Antarctica, Mainly experiments have been conducted in the radioactive laboratory