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The item is made of 2 files, of which 1 is the dataset and the other include a small description of the measured variables.-- Aida F. Ríos ... et al.-- Dataset contributed to the Project Carbochange, This dataset gathers discrete measurements of CO2 (pH and alkalinity) and hydrographic variables (salinity, temperature, dissolved oxygen, nitrate, phosphate and silicate) obtained during the cruise CATARINA carried out along the OVIDE section from 23 June to 20 July 2012. 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 809 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, CATARINA (CTM2010-17141), CARBOCHANGE, No

The item is made of 2 files, of which 1 is the dataset and the other include a small description of the measured variables.-- Dataset contributed to the Project Carbochange, This dataset gathers discrete measurements of CO2 (pH and alkalinity) and hydrographic variables (salinity, temperature, dissolved oxygen, nitrate, phosphate and silicate) obtained during the cruise 24N_Malaspina carried out from 28 January to 14 March 2011. 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 809 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, Project MALASPINA (CSD2008-00077) supported by Ministerio de Ciencia e Innovación, and project CARBOCHANGE (264879) supported by European Commission, No

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

The Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. The Global SPEI database, SPEIbase, offers long-time, robust information on the drought conditions at the global scale, with a 0.5 degrees spatial resolution and a monthly time resolution. It has a multi-scale character, providing SPEI time-scales between 1 and 48 months. The Standardized Precipitatin-Evapotranspiration Index (SPEI) expresses, as a standardized variate (mean zero and unit variance), the deviations of the current climatic balance (precipitation minus evapotranspiration potential) with respect to the long-term balance. The reference period for the calculation, in the SPEIbase, corresponds to the whole study period. Being a standardized variate means that the SPEI condition can be compared across space and time. Calculation of the evapotranspiration potential in SPEIbase is based on the FAO-56 Penman-Monteith method. Data type: float; units: z-values (standard deviations). No land pixels are assigned a value of 1.0x10^30. In some rare cases it was not possible to achieve a good fit to the log-logistic distribution, resulting in a NAN (not a number) value in the database. Dimensions of the dataset: lon = 720; lat = 360; time = 1356. Resolution of the dataset: lon = 0.5º; lat = 0.5º; time = 1 month. Created in R using the SPEI package (http://cran.r-project.org/web/packages/SPEI)., Global gridded dataset of the Standardized Precipitation-Evapotranspiration Index (SPEI) at time scales between 1 and 48 months.-- Spatial resolution of 0.5º lat/lon.-- This is an update of the SPEIbase v2.3 (http://hdl.handle.net/10261/104742).-- What’s new in version 2.4: 1) Data has been extended to the period 1901-2014 (it was 1901-2013 in v 2.3), based on the CRU TS3.23 dataset.-- For more details on the SPEI visit http://sac.csic.es/spei., 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

This contains two zip files with one file each one, corresponding to the maximum and minimum temperatures. The format of the files is netCDF3. Each file contains 282 longitudes, 407 latitudes and 607 times (from January 1964 to July 2014). Projection is Geographic (WGS84). The dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Please, read the full ODbL 1.0 license text for the exact terms that apply. Users of the dataset are free to: Share: copy, distribute and use the database, either commercially or non-commercially. Create: produce derivative works from the database. Adapt: modify, transform and build upon the database. Under the following conditions: Attribution: You must attribute any public use of the database, or works produced from the database. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the original database. Share-Alike: If you publicly use any adapted version of this database, or works produced from an adapted database, you must also offer that adapted database under the ODbL., This dataset includes 5 km. spatial resolution time series of maximum and minimum temperatures for the entire Peru. The gridded data has been created using the entire temperature series available for Peru, which were subjected to a quality control and homogenization procedure. Gridded data was created by means of a regression-based approach using terrain and topographic variables as inputs. One independent model was created for each month of the series. Residuals were interpolated by means of a IDW procedure. The data was validated using a jackknife approach., 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

The Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. The Global SPEI database, SPEIbase, offers long-time, robust information on the drought conditions at the global scale, with a 0.5 degrees spatial resolution and a monthly time resolution. It has a multi-scale character, providing SPEI time-scales between 1 and 48 months. The Standardized Precipitatin-Evapotranspiration Index (SPEI) expresses, as a standardized variate (mean zero and unit variance), the deviations of the current climatic balance (precipitation minus evapotranspiration potential) with respect to the long-term balance. The reference period for the calculation, in the SPEIbase, corresponds to the whole study period. Being a standardized variate means that the SPEI condition can be compared across space and time. Calculation of the evapotranspiration potential in SPEIbase is based on the FAO-56 Penman-Monteith method. Data type: float; units: z-values (standard deviations). No land pixels are assigned a value of 1.0x10^30. In some rare cases it was not possible to achieve a good fit to the log-logistic distribution, resulting in a NAN (not a number) value in the database. Dimensions of the dataset: lon = 720; lat = 360; time = 1356. Resolution of the dataset: lon = 0.5º; lat = 0.5º; time = 1 month. Created in R using the SPEI package (http://cran.r-project.org/web/packages/SPEI)., Global gridded dataset of the Standardized Precipitation-Evapotranspiration Index (SPEI) at time scales between 1 and 48 months.-- Spatial resolution of 0.5º lat/lon.-- This is an update of the SPEIbase v2.4 (http://digital.csic.es/handle/10261/128892).-- What’s new in version 2.5: 1) Data has been extended to the period 1901-2015 (it was 1901-2014 in v 2.4), based on the CRU TS3.24.01 dataset. 2) A bug on versions 2.2 to 2.4 of the dataset has been corrected that prevented correctly reading the ETo data in mm/month-- For more details on the SPEI visit http://sac.csic.es/spei., Peer reviewed

Data Set License: ODbL 1.0. © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/), Drought indices are essential metrics for quantifying drought severity and identifying possible changes in the frequency and duration of drought hazards. In this study, we developed a new high spatial resolution dataset of drought indices covering all of Spain. The dataset includes seven drought indices, spans the period 1961–2014, and has a spatial resolution of 1.1 km and a weekly temporal resolution. A web portal has been created to enable download and visualization of the data. The data can be downloaded as single gridded points for each drought index, but the entire drought index dataset can also be downloaded in netCDF4 format. The dataset will be updated for complete years as the raw meteorological data become available., Data Set: http://monitordesequia.csic.es/, This work was supported by research projects PCIN-2015-220, CGL2014-52135-C03-01, CGL2014-52135-C03-02 and CGL2014-52135-C03-03 financed by the Spanish Commission of Science and Technology and FEDER, IMDROFLOOD financed by the Water Works 2014 co-funded call of the European Commission and INDECIS, financed by the European ERA4CS Joint Call for Transnational Collaborative Research Projects., We acknowledge support by the CSIC Open Access Publication Initiative through its Unit of Information Resources for Research (URICI)., 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