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Dades primàries associades a l'article publicat: Garrabou, J., Gómez Gras, D., Ledoux, J.B. [et.al]. Collaborative Database to Track Mass Mortality Events in the Mediterranean Sea. Frontiers in Marine Science, 2019, vol. 6 art. núm. 707. Disponible a https://doi.org/10.3389/fmars.2019.00707, The data compiled in the MME-T-MEDNet dataset was gathered from published scientific papers, grey literature and technical reports using different searching strategies in ISI Web of Knowledge and Google Scholar using different sets of keywords (including those used in Rivetti et al. 2014 and Marba et al. 2015) as well as through contacts with researchers across the Mediterranean. The dataset comprises mass mortality events impacts observed at discrete events generally related to warming episodes across the Mediterranean. The dataset provides information about the year, season, geographic coordinates, protection status of the geographic location, species phylum, species name, the degree of mortality impact, depth range of the mortality and reported biotic and abiotic mortality drivers of the event, The Mass Mortality Events (MME-T-MEDNet) dataset compiles information reported on mass mortality events of species in the Mediterranean Sea affecting different organism dwelling in coastal ecosystems, We acknowledge the financial support by the Prince Albert II de Monaco Foundation (MIMOSA project nº 1983) and the project MPA-ADAPT funded by Interreg MED program (European Regional Development Fund)

This live data set reports gross primary production (GPP), community respiration (CR) and net community production (NCP) of oceanic plankton communities. The methods used to measure GPP, CR, and NCP varied; these include oxygen evolution in dark-light bottles (Carpenter 1965; Carrit and Carpenter 1966),tracer additions (14C additions, SteemanNielsen 1952, and 18O-labeled H2O, Bender etal. 1987), incubation-free methods, including analyses of triple oxygen isotopes (Luz etal. 2000), O2:Ar ratios (Emerson 1987; Spitzer and Jenkins 1989; Emerson et al. 1993),non-intrusivebio-optical (OPT) methods (Claustre et al. 2008), fast repetition rate fluorometry (FRRF, Kolber and Falkowski 1993), and oxygen sensors mounted on gliders (Tengberg et al. 2006; Nicholson et al. 2008) and buoys (Boutin and Merlivat2009). Characteristics of each method are discussed by Robinson and Williams (2005)and Duarte et al.(2013). The article Global patterns in oceanic planktonic metabolism by Regaudie de Gioux, A. and Duarte, C.M. is currently in press to be published in Limnology and Oceanography in 2013. This dataset is subject to a Creative Commons License Attribution-Noncommercial-ShareAlike 3.0 Unported., This data set includes recently published data and our own unpublished data on plankton community metabolism using both incubation and incubation-free techniques from 92 individual reports published between 1981 and 2011, from stations across the open ocean, including the Mediterranean Sea., Peer reviewed

The data shown in this table were compiled from the literature by conducting a Boolean search in Google Scholar using the word combinations “seagrass accretion rate” “mangrove accretion rate” and “salt marshes accretion rate”.From each study, the geographic area where the data were obtained, the sediment accretion and/or soil elevation rates, the method used and the source are reported in the table. For the method used, a broad explanation of the RSET (Rod Surface Elevation Table) and the MH (marker horizon) techniques is presented in Cahoon et al. (2006). This compilation is a contribution to the CSIRO Costal Carbon Cluster project. The methodology used is widely explained at: Cahoon, Donald R., Philippe F. Hensel, Tom Spencer, Denise J. Reed, Karen L. McKee, and Neil Saintilan. "Coastal wetland vulnerability to relative sea-level rise: wetland elevation trends and process controls." In Wetlands and natural resource management, pp. 271-292. Springer Berlin Heidelberg, 2006., These data include representative values of accretion and elevation rates in vegetated coastal habitats around the world. The values presented correspond to the accretion rates reported by different studies in different areas. In the cases where, in a same study, two different values were reported for the same system (e.g. upper vs. lower marsh)an average value is reported in this table. Attached goes a list of references. Under a license CreativeCommons Attribution-NonCommercial-ShareAlike 3.0 Unported., Peer reviewed

This data set reports dissolved organic carbon (DOC) from estuarine and coastal waters, including the geographical position (latitude and longitude) and salinity for each data point when provided in the papers. This dataset is subject to a Creative Commons License Attribution-Noncommercial-ShareAlike 3.0 Unported., This data set includes published and unpublished data of dissolved organic carbon (DOC) concentration in 3510 individual estimates in coastal waters worldwide published between 1991 and 2012., Peer reviewed

Methodology: We compiled available data published in peer-review articles and grey literature reports until year 2009 as well as our own unpublished data. We searched for data with the engine ISI web of Knowledge, using the keywords Posidonia oceanica AND (regression OR decline OR progression OR recovery OR status OR cartography OR limits OR cover OR density OR biomass OR dynamics), and conducting a back search of cited papers. More information about the methodology to be found at: Calleja, M.L., N. Marbà, C.M. Duarte (2007). The relationship between seagrass (Posidonia oceanica) decline and sulfide porewater concentration in carbonate sediments. Estuarine coastal and shelf science 73: 583-588; Waycott M, CM. Duarte, T.J. B. Carruthers, R.J. Orth, W.C. Dennison, S. Olyarnik, A. Calladine, J.W. Fourqurean, K.L. Heck, Jr, A.R.ll Hughes, G A. Kendrick, W. J Kenworthy, F T. Short, S L. Williams (2009). Accelerating loss of seagrasses across the globe threatens coastal ecosystems. Proceedings of the National Academy of Science USA 106: 12377–12381; Moreno, D., P. A. Aguilera, H. Castro (2001). Assessment of the conservation status of seagrass (Posidonia oceanica) meadows: implications for monitoring strategy and the decision-making process. Biological Conservation 102: 325-332., Content and values displayed: The data set includes general information of the study conducted: the year or period of years of the study, site, country, water depth; and of the seagrass meadow investigated: extent, depth of deep and shallow limit, cover, shoot density, meadow status -decline, expansion, steady-state-, rate of change, Index of Conservation, Moreno et al. 2001) and types of coastal pressures present. The data set includes qualitative and quantitative data, since it contains studies where changes in seagrass meadow extension, cover and /or density are identified from expert judgement as well as studies that quantified the magnitude and rates of the changes reported. The absolute and relative rates of change of seagrass extent, meadow depth limits, cover and shoot density are calculated as described in Marbà et al (submitted). The meadows are categorized as declining (final area < 90% of initial area, net % cover abosolute change < -10, or µ density < -5% yr-1), increasing (final area >110% of initial area, net cover change > 10 % yr-1, or µ density > 5% yr-1) or without detectable change (final area within <90 % of initial area, -10 % yr-1 < net cover change < 10 % yr-1, or -5 % yr-1 < µ density < 5 % yr-1) following Waycott et al (2009) for area and Calleja et al (2007) for density criteria., Access and reuse: This dataset is subject to a Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional License., This dataset compiles qualitative and quantitative information on the stability (i.e. decline, steady state, expansion) of the seagrass (Posidonia oceanica) in the Mediterranean Sea between years 1842 and 2009. Data on meadow extent, shallow and depth limits, cover and shoot density as well as rates of change for the study period are provided. A ReadMe file, the full list of references and explanation of dataset values are attached., SESAME Southern European Seas: Assessing and Modelling Ecosystem changes(EU, Project no: 036949, Integrated Project of the Thematic Priority: 6.3 Global Change and Ecosystems). Lenght: November 1, 2006-December 1, 2011., OPERAS (EU, Project no: 308393, Collaborative Project of Theme ENV.2012.6.2-1)., EstresX, Sinergia y antagonismo entre múltiples estreses en ecosistemas marinos Mediterráneos (Ministerio de Economía y Competividad, ref. CTM2012-32603). Lenght: January 1, 2013-December 31, 2015., Peer reviewed

Human evolution, Red ochre, Shells, Data set on the joint use of shells and red ochre by humans. Reports of the joint use of red ochre and shells by humans are rapidly growing in number, including reports for both modern humans and Nearderthals. Existing records track the reconstructed dispersal of modern humans including findings of the joint use of red ochre and shells in Africa, Eurasia, Australia, and America ranging from paleorecords starting in 250 ka to present. Numbers show, for paleoanthropological evidence, the dates in ka, when reported. When multiple reports were available for a given region the oldest one is shown. See Duarte (2014) for additional details. The database is subject to a Creative Commons Attribution-Noncommercial-ShareAlike International licence 4.0., No

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

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

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