BUSCADOR RECOLECTA

Trabajo presentado a la International Conference on Organizational Learning Knowledge and Capabilities, celebrada en Valencia (España) del 25 al 27 de Abril de 2012., Although the concept of design management is increasingly important for small and medium sized enterprises (SMEs) it is the focus of very few studies. The definition of design management in the literature allows it to be understood as a dynamic capability. This paper investigates this dynamic capability and analyzes its mediating role between organizational learning capability and product innovation. Structural equation modeling was used to test the research hypotheses on a SME data set from the Italian and Spanish ceramic tile industry. The results suggest that organizational learning capability enhances product innovation and that design management capability plays a significant role in determining the effects of organizational learning capability on product innovation., Peer Reviewed

Proyectos del Plan Nacional I+D+I con referencias PB94-0129, PB97-1132, BHA 2002-00138, HUM 2006-06250/HIST, Proyectos de la CAM con referencias 06/0020/1997, 06/0094/1998, 06/0090/2000, 06/0043/2001, Programa Consolider-Ingenio 2010 con sigla CSD2007-00058, No, Museo Arqueológico de Sevilla, El Carambolo, Placa rectangular del conjunto de El Carambolo. Detalle de cápsulas con rosetas y cenefa de púas

In March 2012 we collected 3-replicated sediment cores (9 cm diameter and 12-15 cm long) per restored site along the planting chronosequence (i.e. years 1994, 1997, 2003, 2004, 2006). Similarly, we collected 3 sediment cores in two bare sites, previously colonized by seagrasses, and in a large seagrass patch that survived the disturbances in the second half of the 20th Century that we considered a mature and thus reference meadow. We measured sediment bulk density and organic matter content and carbon stocks along all sediment cores sliced at 1 cm interval. Organic carbon content (% Corg) was estimated from loss of ignition (% LOI) at 550ºC for 5 h using the empirically fitted equation for Oyster Harbour sediments,Log % Corg = -0.62 + (1.33 * Log % LOI) SEintercept = 0.01, SEslope =0.10, N = 55, R2 = 0.77, P<0.0001 We analyzed the ƌ3C of the organic carbon in the top 3 cm sediment layer (ƌ13Csediment) along the chronosequence to estimate the fraction of seagrass (X) and sestonic (1-X) deposition as ƌ13Csediment = [X . Log % Corg = -0.62 + (1.33 * Log % LOI) SEintercept = 0.01, SEslope =0.10, N = 55, R2 = 0.77, P<0.0001 We analyzed the ƌ3C of the organic carbon in the top 3 cm sediment layer (ƌ13Csediment) along the chronosequence to estimate the fraction of seagrass (X) and sestonic (1-X) deposition as ƌ13Csediment = [X . ƌ13Cseagrass] + [(1-X) . ƌ13Cseston] being ƌ13Cseagrass -9.65 ‰ and ƌ13Cseston -22 ‰ (Dauby 1989)., Access and reuse: This dataset is subject to a Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional License., This dataset contains the values of ƌ13C, concentration and density of organic carbon measured along sediment cores collected where seagrasses (Posidonia australis) where lost, in re-vegetated plots and the continuously vegetated meadow at Oyster Harbor., Financial acknowledgements: CSIRO-Carbon Cluster (Australia); Australian ARC Linkage projects (LP100200429, LP1301000155); Opera (EU FP7, Project No. 308393); MEDEICG (CTM2009-07013); EstresX (CTM2012-32603). Mobility grant of CSIC (PA1003258) to Núria Marbà; Gledden Visiting Fellowship of the Institute of Advanced Studies (UWA) to Núria Marbà; Gledden Visiting Fellowship of the Institute of Advanced Studies (UWA) to Pere Masqué; IM by a PhD fellowship by the Government of the Balearic Islands; PM by ICREA Academia Generalitat de Catalunya (2014 SGR – 1356); PhD grant by the Govern of the Balearic Islands; PhD grant by Obra Social “la Caixa”., Peer reviewed

This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited., Gassing pattern (gas valve status) employed in all the experiments after the initial assay., Authors would like to thank Cristina Juez Ojeda andMiguel Ángel Fernández Recio for excellent technical assistance, the YeSVitE consortium (EU project, 7FP-IRSES-GA no. 612441) for helpful discussions, and Laura López Ocaña (CECT) for help with yeast species confirmation. This work was supported by grants MINECO AGL2012-32064 and INIA RM2012-00007-00-00 from the Spanish Government. M.Q. was the recipient of a CSIC training contract, JAEDoc, co-funded by the European Social Fund of the EU., Peer reviewed

Black-winged Stilt chicks were captured during the breeding season (from April to August) from 2005-2011 in Doñana rice fields located near the Guadalquivir marshes (37º09N 06º08W, SW Spain), in 2009-2010 in rice fields of Sidi Allal Tazi and in 2009-2011 in rice fields of Larache (both sites in NW Morocco, 34º30N 6º16W and 35º11N 6º07W respectively). Birds were also sampled at natural ponds in the Doñana area in 2010-2011 (37º04N 6º27W), and in natural wetlands at Larache and a coastal lagoon in Briech (NW Morocco, 35º11N 6º07W and 35º31N 6º00W respectively) in 2011., The Junta de Andalucía funded this study through the project “Las aves acuáticas de Doñana y el cultivo del arroz: la interacción entre la agricultura y la conservación de las zonas húmedas”. This study was possible thanks to the INRA administration and CNRST-CSIC collaboration program (P2007MA01 and P2009MA01). GMT was funded by an I3P-CSIC grant for the formation of Researchers. MMH is supported by a Marie Curie Intra-European Fellowship for Career Development (PIEF-GA-2011-299747) within the 7th Framework Programme (FP7 2007-2013) of the European Commission., Peer reviewed

The dilution hypothesis was tested by adding different concentrations of ambient DOC obtained by solid phase extraction to deep seawater samples. Microbial growth and consumption of DOC were assessed by flow cytometry, HTCO measurements of DOC and oxygen consumption measurements in 14 experiments using water collected from deep water masses of the Atlantic and Pacific Oceans.There are two kinds of experiments 14 (A-N) where prokaryotic growth was evaluated under increasing concentrations of ambient DOC and 2 additional experiments (O and P) where DOC composition and the utilization of different compounds was evaluated by means of Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS). A utilization index for each compound was derived from the FT-ICR-MS fingerprints, showing whether the relative signal for each compound remained stable (refractory or not used), decreased (was consumed) or increased (was produced). Detailed information on conditions and procedures can be found in the article. Enquiries can be sent to Jesús M. Arrieta at txetxu[at]mail.com., Access and reuse conditions: This database and its components are subject to a Creative Commons Attribution-Noncommercial-ShareAlike International licence 4.0., Experimental results on the hypothesis that deep-water DOC consists of many different, intrinsically labile compounds at concentrations too low to compensate for the metabolic costs associated to their utilization., This is a contribution to the MALASPINA Expedition 2010 project, funded by the CONSOLIDER-Ingenio 2010 program of the Spanish Ministry of Economy and Competitiveness (Ref. CSD2008-00077). J.M.A. was supported by a “Ramón y Cajal” research fellowship from the Spanish Ministry of Economy and Competitiveness. E.M. was supported by a fellowship from the JAE program of CSIC. G.J.H. and R.H. were supported by the Austrian Science Fund (FWF) projects: I486-B09 and P23234-B11 and by the European Research Council under the European Community’s Seventh Framework Programme (FP7/2007-2013) / ERC grant agreement No. 268595 (MEDEA project). We thank A. Dorsett for assistance with DOC analyses, participants in the Malaspina Expedition and the crews of the BIO Hespérides, and RV Pelagia and the personnel of the Marine Technology Unit of CSIC (UTM) for their invaluable support., Peer reviewed

Content and values displayed: The data is displayed in an excel file with spreadsheets representing each of the following spatial scales: -“Fjord-scale”: The data set includes information on measurements representing vertical profiles at sites distributed along a horizontal fjord gradient: Date, site (station), water depth, temperature, pH, Ωarag, oxygen concentration (O2) and fluorescence -“Small-scale/kelp-scale”: The data set includes information from 3 consecutive series of parallel deployments over 2-3 days in shallow subtidal kelp habitats (kelp) and neighboring habitats colonized by benthic microalgae and scattered filamentous algae (bare) in Kobbefjord. We provide information on date and time, deployment number (#1-3), and each of the following variables measured ca 50 cm above the seafloor in the two types of habitat (kelp and bare): temperature, pH, salinity, water depth, O2, PAR and Ωarag. In addition, we provide information on pH-variability within 1m3 of kelp forest measured by an array of 16 pH-sensors placed in 4 layers of the kelp forest: 10 cm above the seafloor, 20 cm above the seafloor, in the canopy and in the water column just above the canopy. -“Micro-scale”: The data set includes information on pH at a millimeter scale measured through the boundary layer of 6 different species of macrophytes (Ascophyllum nodosum, Fucus vesiculosus, Saccharina longicruris, Agarum clathratum, Ulva lactuca, Zostera marina) by microelectrode in a laboratory setup. For each point we provide the average and standard deviation (SD) of 3 replicate measurements of each species. -“Tidal pools”: The date set represents parallel diurnal measurements in a vegetated tidal pool and the adjacent vegetated shore in the inner part of Kobbefjord. For each site and sampling time we provide data on O2, salinity, temperature, pH, total alkalinity (AT), total inorganic carbon (CT), partial pressure of CO2 (pCO2)and Ωarag in the water., Access and reuse: The database is subject to a Creative Commons Attribution-Noncommercial-ShareAlike International licence 4.0. Contact person for enquiries: Dorte Krause-Jensen, dkj@bios.au.dk., This dataset represents spatiotemporal variability in coastal pH-variability measured in a nested scale in the sub-Arctic Kobbefjord (64⁰10’ N, 51⁰33’ W) which makes part of the extensive Godthåbsfjordsystem near Nuuk, SW Greenland. A sensor array logging pH, oxygen, photosynthetically active radiation (PAR), temperature and salinity was applied on spatial scales ranging from km-scale across the horizontal extension of the fjord, over 100 m-scale vertically in the fjord, 10-100 m scale between subtidal habitats with and without kelp forests and between vegetated tidal pools and adjacent vegetated shores, to cm-m scale within kelp forests and pH was also measured at mm-scale across boundary layers of macrophyte tissue. In addition, we assessed the temporal variability in pH on diurnal and seasonal scales. Based on pH-measurements combined with relationships between salinity, total alkalinity and dissolved inorganic carbon we also estimated variability of the carbonate saturation state for aragonite Ωarag. Fjord-scale data sets were collected during three field campaigns (19 Apr, 18 Jul, 3 Sep 2013), shallow subtidal habitats and microscale data sets represent an intensive campaign (27 August–6 September 2013) and intertidal data were collected ultimo Aug 2014. Methods are described in detail in Krause-Jensen et al. (2015) which also contains a thorough presentation, analysis and discussion of the results., The study was funded by the Danish Environmental Protection Agency 20 within the Danish Cooperation for Environment in the Arctic (DANCEA). L. Meire was funded by the Research foundation Flanders (FWO aspirant grant) and by Defrost under the Nordic Centers of Excellence (NCoE) program. O. Geertz-Hansen, Greenland Climate Research Centre,/ Greenland Institute of Natural Resources, Nuuk, is thanked for help with field work. The study is also a contribution to the Greenland Ecosystem Monitoring program (www.G-E-M.dk) 25 and the Arctic Science Partnership (ASP) asp-net.org., Sí

Photographs taken with a digital camera Nikon Coolpix 950 adapted to a binocular Nikon SMZ. A list attached includes exact locations where seeds were gathered. This dataset is under a Creative Commons Attribution-Non commercial 4.0 International License. 304 jpg files included., Analysis of seed shape in two subspecies of Capparis spinosa collected in Tunisia: Five populations of Subspecies Spinosa; five populations of Subspecies Rupestris. Morphological description of seeds is a required step for the analysis of biodiversity in natural populations and may give clues to understand adaptive strategies in evolution. The cardioid is the curve described by a point of one circumference rolling around another circumference of equal radius. Models based in the adjustment of seed shape with cardioid curves where described previously for Arabidopsis thaliana and the model legumes Lotus japonicus and Medicago truncatula. In this work the model is applied to the morphology of seeds in populations from two subspecies of Capparis spinosa grown in Tunisia. The adjustment of seed images to cardioid curves, followed by statistical analysis of similarity in the complete images as well as in each of four quadrants, allows an accurate description of seed shape. Results show differences in morphology between subspecies. Seeds from Capparis spinosa. subsp. rupestris present higher diversity in shape than seeds from populations of C. subsp. spinosa. This may indicate a primitive condition in the seeds of C. subsp. rupestris associated with non-specialization. The results are discussed in relation to ecological strategies of both subspecies in evolution., Funded through a cooperation between IRNASA-CSIC and National Institute of Research in Rural Engineering, Waters and Forests (INRGREF), University of Carthage, Tunisia., Peer reviewed

13 files, This dataset gathers discrete measurements of CO2 (pH and alkalinity) and hydrographic variables (salinity, temperature, dissolved oxygen, nitrate, phosphate and silicate) in 10 cruises between 2005 and 2007 in the GIFT Time Series Stations located at the Strait of Gibraltar. pH was measured spectrophotometrically following the Clayton and Byrne (1993). This method consists on adding a dye solution to the seawater sample, so that the ratio between two absorbances at two different wavelengths is proportional to the sample pH. Alkalinity was measured using an automatic potentiometric titrator Titrando 794 Metrohm, with a Metrohm 6.0232.100 combination glass electrode and a Pt-1000 probe for temperature measurement following the methodology given by Pérez and Fraga (1987). Dissolved oxygen was analyzed following the widely applied Winkler method. Determinations of nitrate, phosphate and silicate were carried out following methods described by Hansen and Grassoff (1983) Salinity and Temperature were recorded with a CTD probe, Data are part of the EC-funded Integrated Project CARBOOCEAN - Marine carbon sources and sinks assessment Contract no. 511176 (GOCE), more details available at http://www.carboocean.org/, CARBOGIB2005.exc.xlsx.-- Metadata_CARBOGIB2005_Dec2005.xls.-- Metadata_CARBOGIB2005_Dec2006.xls.-- Metadata_CARBOGIB2005_July2007.xls.-- Metadata_CARBOGIB2005_March2006.xls.-- Metadata_CARBOGIB2005_May2005.xls.-- Metadata_CARBOGIB2005_May2006.xls.-- Metadata_CARBOGIB2005_May2007.xls.-- Metadata_CARBOGIB2005_Nov2006.xls.-- Metadata_CARBOGIB2005_Nov2007.xls.-- Metadata_CARBOGIB2005_Sep2005.xls.-- Discrete_measurement_methodology.docx.-- Readme_discrete_2007, 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