BUSCADOR RECOLECTA

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The database compiles published and unpublished data on carbonate (CaCO3) and/or particulate inorganic carbon (PIC) along with particulate organic carbon (POC) stocks if available, in sediments of seagrass meadows and adjacent un-vegetated patches. We considered the total pool of CaCO3 reported without distinguishing between the different biogenic carbonate mineral forms (calcite, Mg-calcite and aragonite). Fourqurean et al. (2012) provided data for 201 sites, and a literature search using both the Web of Knowledge (using the search terms “seagrass*” AND “inorganic carbon*” AND [“calcific* OR sediment* OR CaCO3 OR dissolut* OR diagenesis”]) and Google Scholar (using the search terms “seagrass carbonate”) yielded data for an additional 82 sites. The database was amended with unpublished values for 154 additional sites sampled by the authors. The database compiles data on sediment carbonate concentration for a total of 437 sites, of which 34 corresponded to sand patches adjacent to seagrass meadows. The final database comprises estimates for 403 seagrass vegetated sites, including 219 estimates for sediment surface samples (ca. 1-30 cm depth) and 184 estimates for sediment cores of variable length (149 cores < 100 cm-long, and 35 cores ≥ 100 cm-long). When only one of the variables, CaCO3 or PIC was reported, the other was estimated assuming that PIC is 12% of the total molar mass of the CaCO3. In most cases, particulate inorganic and organic carbon (PIC and POC) were reported as a percentage of dry weight (%DW), where PIC and POC, in mg cm-3, was calculated as the product of the fraction of sediment dry weight composed by PIC or POC and the dry bulk density (DBD) of a given sediment section (n = 340 sites). When DBD was not reported (n = 113 sites), we used the average DBD (1.03 g cm-3) reported by Fourqurean et al. (2012) for seagrass sediments in the calculations. Enquiries about the dabaset may be sent to Inés Mazarrasa., Access and reuse conditions: This database and its components are subject to a Creative Commons Attribution-Noncommercial-ShareAlike International licence 4.0., Mazarrasa, Inés; Marbà, Núria; Lovelock, Catherine E.; Serrano, Oscar; Lavery, Paul S.; Fourqurean, James W.; Kennedy, Hillary; Mateo, Miguel Ángel; Krause-Jensen, Dorte; Steven, Andy D. L.; Duarte, Carlos M., "Sediment inorganic carbon (PIC) deposits in seagrass meadows and adjacent sand-patches (v. 2)". 2018, DIGITAL.CSIC, http://dx, The database is a global compilation of published and unpublished data available on carbonate, particulate inorganic carbon (PIC) and particulate organic carbon (POC) stocks in sediments of seagrass meadows and adjacent un-vegetated sediments., Peer reviewed

Triplicate samples of Posidonia oceanica were randomly collected at 26 locations along the Balearic Islands (Mediterranean Sea) during the summers of 2005 and 2006. Roots were subjected to a surface-sterilization protocol prior to nucleic acid extraction. The nitrogenase was amplified by PCR using degenerate primers for nifH gene sequences. The PCR products were checked by electrophoresis on 1.5% agarose gels. The youngest leaf (free of epiphytes) of three shoots and three young rhizome fragments were dried at 60ºC for 48 h and ground to a fine powder. All isotopic analyses were measured using standard elemental analyzer isotope ratio mass spectrometer (EA-IRMS) procedures. Isotopic ratios (R) are reported in the standard delta notation (‰), deltasample=1000((Rsample/Rstandard)-1), where R = 15N/14N. These results are presented with respect to the International standard of atmospheric nitrogen (AIR, N2). Analytical reproducibility of the reported delta values, based on sample replicates, was better than ±0.2‰., This dataset compiles information regarding the detection of nitrogen-fixing bacteria by amplification of the nifH gene coding for nitrogenase enzyme in meadows of an endemic Mediterranean seagrass (Posidonia oceanica). This dataset includes the nitrogen isotopic signature (δ15N) measured on leaves and rhizomes., This study was funded by the projects MEDEICG and ESTRESX of the Spanish Marine Science and Technology Program (CTM2009-07013, CTM2012-32603) under the framework of Spanish Plan Nacional 2008-2012., Peer reviewed

This data set compiles 159 papers that contain statements about jellyfish population trends or papers used to support these statements, from all available papers (n=225) published on jellyfish ecology between 1987 and April 2012 (prior to Brotz et al., 2012, the first global analysis of jellyfish populations). All these papers were collated through an exhaustive search on Google Scholar (GS) and Web of Knowledge (WOK). The search terms used were: “jellyfish” or “jellyfish blooms” or “ctenophore” or “gelatinous zooplankton”; “population” or “abundance” or “distribution”; “change” or “trend”; “increase” or “increasing” or “rise” or “rising”; “global” or “worldwide” or “regional” or “region”. Papers making statements that referenced other sources were defined as ‘citing papers’ and papers used to support these statements were ‘cited papers’ (continue reading the file Sanz-Martínetal_Dataset_Details.pdf)., This dataset compiles 159 papers that contain statements about jellyfish population trends or papers used to support these statements. Statements of the citing papers were classified into spatial categories and degrees of affirmation. Each citation has been evaluated adapting the method proposed by Todd et al. (2007). A network of citation has been produced (see Fig. 1) and the resulting specific properties of every paper (or node) are detailed in the dataset., No

The data is displayed in an excel file with spreadsheets representing each of the following data sets: Field kelp loggings Nuuk, Field kelp loggings Disko, Field ETR Disko, Lab time series pH CO2, Lab CO2 End time series, Lab time series consumption CO2, Lab ETR max and Lab time series no macroph. The txt document attached provides a full description of each of them., This dataset contains field- and laboratory data of metabolic activity, photosynthetic characteristics and associated effects on water chemistry of Greenland kelp forests. Field data include diurnal variation in pH, pCO2, O2-concentration, light, temperature, and salinity in shallow kelp forests habitats over 10-day periods in the subarctic Kobbefjord (64⁰N, 51⁰W) in late summer 2013 at a photoperiod of 15 h light and in the Arctic Disko Bay (69 °N, 53 °W) during midsummer 2014 at a photoperiod of 24 h light. Field data further include in-situ measurements of photosynthetic activity (relative electron transport rate, rETR) during a diurnal cycle in midsummer in Disko Bay. Laboratory data include time series of seawater pH, CO2 concentration and rates of change of CO2 concentration and photosynthetic activity of arctic vegetation measured during experimental manipulations of photoperiod and CO2 concentration in aquaria at 4 oC. There were three replicated aquaria per CO2 concentration treatment (200 ppm, 400 ppm and 1000 ppm). Each aquarium contained 6 L of artificial seawater and 2.7 – 3.7 gDW of macrophytes (Ascophyllum nodosum, Fucus vesiculosus, Saccharina longicruris, Zostera marina) collected at Nuuk. Methods are described in detail in Krause-Jensen et al. (2016)., The study was funded by the Danish Environmental Protection Agency within the Danish Cooperation for Environment in the Arctic (DANCEA). It is also a contribution to the Greenland Ecosystem Monitoring program (www.G-E-M.dk) and to the Arctic Science Partnership (www.asp-net.org). M.S-M. was supported by a Fundación “La Caixa” fellowship (ES)., Peer reviewed

Data and code used in Sequeira et al., "Convergence of marine megafauna movement patterns in coastal and open oceans", Proceedings of the National Academy of Sciences (2018)., Peer reviewed

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 MME-T-MEDNet database is subject to a Creative Commons Attribution-Noncommercial-ShareAlike International licence 4.0., Contact person for enquiries: bio-admin@t-mednet.org, Annual update.., 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), Sólo un dataset., Peer reviewed

The database compiles published and unpublished data on carbonate (CaCO3) and/or particulate inorganic carbon (PIC) along with particulate organic carbon (POC) stocks if available, in sediments of seagrass meadows and adjacent un-vegetated patches. We considered the total pool of CaCO3 reported without distinguishing between the different biogenic carbonate mineral forms (calcite, Mg-calcite and aragonite). Fourqurean et al. (2012) provided data for 201 sites, and a literature search using both the Web of Knowledge (using the search terms “seagrass*” AND “inorganic carbon*” AND [“calcific* OR sediment* OR CaCO3 OR dissolut* OR diagenesis”]) and Google Scholar (using the search terms “seagrass carbonate”) yielded data for an additional 82 sites. The database was amended with unpublished values for 154 additional sites sampled by the authors. The database compiles data on sediment carbonate concentration for a total of 437 sites, of which 34 corresponded to sand patches adjacent to seagrass meadows. The final database comprises estimates for 403 seagrass vegetated sites, including 219 estimates for sediment surface samples (ca. 1-30 cm depth) and 184 estimates for sediment cores of variable length (149 cores < 100 cm-long, and 35 cores ≥ 100 cm-long). When only one of the variables, CaCO3 or PIC was reported, the other was estimated assuming that PIC is 12% of the total molar mass of the CaCO3. In most cases, particulate inorganic and organic carbon (PIC and POC) were reported as a percentage of dry weight (%DW), where PIC and POC, in mg cm-3, was calculated as the product of the fraction of sediment dry weight composed by PIC or POC and the dry bulk density (DBD) of a given sediment section (n = 340 sites). When DBD was not reported (n = 113 sites), we used the average DBD (1.03 g cm-3) reported by Fourqurean et al. (2012) for seagrass sediments in the calculations. Enquiries about the dabaset may be sent to Inés Mazarrasa., [Access and reuse conditions] This database and its components are subject to a Creative Commons Attribution-Noncommercial-ShareAlike International licence 4.0., [Reason for updating the database] This database is a corrected version of the database by Mazarrasa et al., (2015) (DIGITAL.CSIC, http://hdl.handle.net/10261/116550). In the previous version of the database, CaCO3 and PIC values for 3 sediment cores from Oyster Harbour, Western Australia (cores # 275-277) and from 13 cores from Greenland and Denmark (cores # 391-403) were wrong. In this new version of the database these errors have been corrected. In addition, we have added data of 35 sediment slices of the cores from Greenland (cores # 391-397) that were missing in the previous version of the database. These changes do not significantly affect the results presented in the paper published in Biogeoscience (Mazarrasa et al., 2015) that was produced using the previous version of the database., The database is a global compilation of published and unpublished data available on carbonate (CaCO3), particulate inorganic carbon (PIC) and particulate organic carbon (POC) stocks in sediments of seagrass meadows and adjacent un-vegetated sediments., No

The dataset contains data on profiles of bulk density, concentrations of organic matter, carbonate, organic carbon and inorganic carbon, density of organic and inorganic carbon, δ13C and abundance of 210Pb along sediment cores. The sediment cores were collected inside three Zostera marina meadows growing in Western Greenland: Ameralik (64°15’N, 51°35’W), Kapisillit (64°28’N, 50°13’W) and Kobbefjord (64°09’N, 51°33’W) (Marbà et al 2018). The sediment cores were sliced every 1 or 2 cm depending on the core. Dry bulk density was measured by dividing the weight after oven-drying them at 60 oC for 48 h by the wet volume of the sediment sample. Concentration of total 210Pb was determined by alpha spectrometry following Sanchez-Cabeza et al. (1998) . The concentration of excess 210Pb was calculated as total 210Pb minus supported 210Pb, estimated as the average of total 210Pb concentration at the base of each sediment core profile. Supported 210Pb values were comparable to the 226Ra concentrations obtained at selected depths in each core. The depth of the sediment horizon accreted since year 1900 was identified by applying constant flux: constant sedimentation (CF:CS) model (Krishnaswamy et al 1971) and the year of sediment accretion at the top of each slice by applying the constant rate of supply (CRS) model (Appleby and Oldfield 1978) . Organic matter concentration (OM, % DW) was measured using the loss of ignition technique. Sediment organic carbon concentrations (Corg, % DW) were estimated from measured organic matter concentrations (OM, % DW) using the relationship described by Fourqurean et al. (2012). Concentration of inorganic carbon (Cinorg, %DW) was measured by conducting a second combustion of the sediment samples at 1000 oC for 2 h and multiplying the amount of CO2 released from the carbonate by 0.27 (i.e. the ratio of the atomic weight of carbon (12 g) to the molecular weight of CO2 (44 g)). Densities of Corg (g Corg cm-3) and Cinorg (g Cinorg cm-3) were calculated by multiplying, respectively, Corg and Cinorg concentrations by the sediment dry bulk density of each sediment sample. We analyzed the 13C of the sediment organic carbon in acidified samples by an isotope ratio mass spectrometer (Thermo fisher scientific) and report it in the δ notation as the ratio of the 13C to the 12C isotope in the sample (Rsample) relative to that of a standard (Standard) i.e., δ sample = 1000 [(Rsample/ Rstandard) − 1]. The primary standard is Vienna Pee Dee Bellemnite (VPDB) and secondary standards are Acetanilide (Schimmelmann) and sucrose. The seagrass contribution in the sediment organic carbon pool after year 1900 was estimated by applying a two source-mixing model, δ13Csed after 1900 = δ13Cseagr * f + [δ13Csed before 1900 * (1-f)], that considered Z. marina (δ13Cseagr Ameralik = -7.31 ± 0.02 ‰, δ13Cseagr Kapisillit = -6.58 ± 0.33 ‰, δ13Cseagr Kobbefjord = -7.83 ± 0.15 ‰) and a business as usual carbon source scenario, represented by the average δ13Csed observed in sediments accreted before year 1900 (δ13Csed after 1900 = -30.44 ± 0.38 ‰), as end members. We corrected for the historical change in the δ13C source signatures due to 13C depletion in the atmospheric CO2 and oceanic DIC δ13C signature towards present derived from the burning of fossil fuels (i.e. Suess effect, Keeling 1979). This was done by applying the model described by Schelske and Hodell (1995) and modified by Verburg (2007): δ13Catm = 4577.8 – 7.343 *Y + 3.9213 * 10-3 * Y2 – 6.9812 * 10-7 * Y3 to estimate the δ13C of atmospheric CO2 (δ13Catm) over time (years, Y) since year 1840. These values were subsequently normalized to δ13Catm in year 1840, and the resulting time-dependent depletion in δ13C since1840 was subtracted from the measured δ13Csed for each dated sediment section., The dataset provides data on organic matter (OM), carbonate (CaCO3), organic carbon (Corg), inorganic carbon (Cinorg), 13C in organic carbon and 210Pb in sediment cores collected at three Zostera marina meadows from Western Greenland., EU FP7 (project Opera’s, contract number 308393) and King Abdullah University of Science and Technology (KAUST). DKJ received support from the COCOA project under the BONUS program funded by the EU 7th framework program and the Danish Research Council and from the NOVAGRASS (0603-00003DSF) project funded by the Danish Council for Strategic Research. P.M. was supported by the Generalitat de Catalunya through its grant 2017 SGR-1588., Peer reviewed

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