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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

Peer reviewed

This data set includes measurements of water samples collected from 5 sites during 8 surveys carried out between March 2016 and March 2017 in the Guadalquivir river estuary. Geographic coordinates of sampling positions and a Google Earth .kml file are provided. During samplings, in situ water conductivity (converted to salinity), temperature and pH were measured using a multi‐probe (YSI‐6920V2, YSI Incorporated, Yellow Springs, Ohio, USA) and water samples were collected for laboratory analysis of dissolved methane and nitrous oxide by static‐head space equilibration gas chromatography (GC) using an Agilent 7890 GC equipped with an Electron Capture Detector (ECD) for N2O and Flame Ionization Detector (FID) for CH4, according to de la Paz et al. (2015). Samples were also taken for analysis of phosphate, nitrate, nitrite and ammonia (with a Skalar Sanˆ++215 Continuous Flow Analyzer and using the standard colorimetric techniques described in Hansen and Koroleff 1999), dissolved oxygen and total alkalinity (using a Metrohm 794 Titroprocessor following the methods described by Mintrop et al. (2000) and Winkler) and dissolved organic carbon and total dissolved nitrogen that through catalytic oxidation at high temperature (720 °C) and chemiluminescence (using a Shimadzu Total Organic Carbon analyzer Model TOC‐VCPH/CPN, according to Álvarez‐Salgado and Miller 1998). Dissolved carbon dioxide partial pressure was calculated from pH and total alkalinity using co2sys.xls (Pierrot et al., 2000) with the dissociation constants for carbon and sulphate of Cai and Wang (1998) and Dickson (1990), respectively. Calculations of the equilibrium concentrations of methane and nitrous oxide in the water phase was done using the annual averaged atmospheric mixing ratios CH4 (xCH4atm) and N2O (xN2Oatm) provided by the World Data Center for Greenhouse Gases (http://ds.data.jma.go.jp/gmd/wdcgg/). Such mean values during the sampling period were calculated as 1866 ppb and 328 ppb for xCH4atm and xN2Oatm respectively. Daily measurements of rainfall (mm), air temperature (ºC), relative humidity and wind speed (m s‐1) were provided by ameteorological station located in Lebrija (36º 58’ 35’‘N, 06º 07’ 34”W) managed by the Junta de Andalucia (www.juntadeandalucia.es/agriculturaypesca/ifapa/ria/servlet/FrontController). The data are provided as [space] delimitated plain text files and Google Earth .kml and .kmz files within a compressed folder that also includes a single README file (in PDF format) containing a detailed description of the data structure., General Notes: The data are provided under an Attribution‐ShareAlike 4.0 International license. However, if you use the data, so as to support the authors, please consider citing the article: Emma Huertas, Susana Flecha, Gabriel Navarro, Fiz F. Perez, Mercedes de la Paz. 2018. Spatio‐temporal variability and controlling parameters of methane and nitrous oxide in the Guadalquivir Estuary, Southwestern Europe. Aquatic Sciences.-- Data collection and analytical techniques are given in detail with the associated publication, here we only give a brief details and a guide to the contents of the data files.-- Data files are in plain text format with [space] used as the delimiter and text enclosed in "". All data files have column titles as the first line. NA is used to represent no data., Geographical coordinates of water sampling sites: Guadalquivir_estuary_sampling_stations_geo_coordinates.txt provides the geographical coordinates of the sites. ST.ID represents the code (used to link to other data tables) for each site. long and lat are longitude and latitude, respectively. Geographic projection and WSG84 datum is used (EPSG:4326).-- For convenience Guadalquivir_estuary_sampling_stations.kml is also included to allow visualization of the site positions in Google Earth (or other GIS software; note kml files have the Pseudo‐Mercator projection [EPSG:3857])., Water physiochemical properties; Guadalquivir_estuary_water_monitoring_2016‐2017.txt provides data from water sampling data during eight surveys conducted between March 2016 and March 2017. Temperature, salinity and pH were measured with a multi‐probe (YSI‐6920V2, YSI Incorporated, Yellow Springs, Ohio, USA). Total alkalinity, concentrations of dissolved compounds (oxygen, organic carbon, total nitrogen, inorganic nitrogen and phosphate), pigments and suspended solids were measured in the laboratory. pCO2 was calculated using pH and total alkalinity with co2sys.xls.-- SAMP.EVENT is a convenience code used to denominate each individual survey. SAMP.DATE is the day in which the survey took place (in the Gregorian calendar). time.stamp.gmt is the time (GMT or UTC) at which the sample was collected, in extended ISO8601 format.-- ST.ID represents the code (used to link to other data tables) for each site. T.degC is the water temperature in degrees Celsius. Salinity is the water salinity (practical salinity units, i.e., no units), calculated from conductivity.-- CH4.nmolL is methane concentration with units nano mol per liter. N2O.nmolL is nitrous oxide concentration with units nano mol per liter.-- Chla.umolL is chlorophyll‐a concentration with units micro mol per liter. TSM.mgL is total suspended solids concentration with units milli gram per liter. DOC.mgL is total dissolved organic carbon concentration with units milli gram per liter. TDN.mgL is total dissolved nitrogen concentration with units milli gram per liter. NH4.umolL is dissolved ammonium concentration with units micro mol per liter. NO2.umolL is dissolved nitrite concentration with units micro mol per liter. NO3.umolL is dissolved nitrate concentration with units micro mol per liter. PO4.umolL is dissolved inorganic phosphate concentration (i.e., not organic or total) with units micro mol per liter. O2.umolKg is dissolved oxygen concentration with units micro mol per kilogram. pCO2.uatm is partial pressure of CO2 in water with units micro atmosphere., Meteorological data: Daily measurements of air temperature (ºC), wind speed (m s‐1) and humidity were provided by a meteorological station located in Lebrija (36º 58’ 35’‘N, 06º 07’ 34” W) maintained by the Junta de Andalucia (www.juntadeandalucia.es/agriculturaypesca/ifapa/ria/servlet/FrontController).-- Guadalquivir_estuary_meteorological_data.txt contains daily‐ensemble‐averaged wind velocities at 1 m (uz) above the land surface. SAMP.MONTH is the month in which the survey and samples collection took place. uz.ms is the monthly mean wind velocity at 1m above the land surface with units meters per second. T.degC is monthly mean air temperature at 1m above the land surface with units degrees Celcius. hum.% is the relative humidity at 1m above the land surface expressed as a percent., This data set includes recently published data used to assess the spatio‐temporal variability of dissolved methane and nitrous oxide in the Guadalquivir river estuary, SW Spain (Long: ‐6º 20´ 31.56´´, Lat: 36º 47´54´´, Datum: WSG84) between March 2016 and March 2017 and calculate air‐water fluxes of both gases., This research was supported by the project 1539/2015 (Spanish Ministry for Agriculture, Food and Environment). Meteorological data was provided by the Junta de Andalucia. NOOA supplied atmospheric methane and nitrous oxide data. Further analytical details, acknowledgements, and air‐water fluxes can be found in the publication., No

The dataset contains one zip file corresponding to the SEDI. The format of the file is netCDF3. The file contains 1440 longitudes, 720 latitudes and 444 times (from January 1980 to December 2016). Projection is Geographic (WGS84). The SEDI is in standardized units. 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 0.25º spatial resolution time series of the Standardized Evapotranspiration Deficit Index. The gridded data has been created using the version 3.1 of the Global Land Evaporation Amsterdam Model (GLEAM) dataset (https://www.gleam.eu/#home). Data covers the period between 1980 and 2016. SEDI is obtained using a log-logistic distribution to fit the Evapotranspiration Deficit., Peer reviewed

Longitude, latitude, species and date of roadkills detected during 24 road surveys conducted twice a month for a whole annual cycle, starting the second fortnight of November 2010 and finishing the first fortnight of November 2011. 241.6 km of roads were inspected each survey. Surveys were conducted by car at the minimum speed limit (20-50 km/h) and looking for roadkills, Peer reviewed

This dataset was used to analyze survival probabilities of adult Audouin’s gull depending on early conditions (density-dependence and Winter NAO) experienced by the individuals., Capture mark recapture data of Audouin gulls breeding from 1995 until 2009 in Mediterranean locations including Ebro Delta, Chafarinas Islands, Columbretes Islands and Mallorca islets in the Balearic Islands. Individuals are shown in rows and years in columns followed by the cohort on which they were born, and the environmental covariates associated to that year. This data set has been used for the publication: Payo-Payo, A.; Sanz-Aguilar, A. and Oro, D. (2022) Long-lasting effects of harsh early-life conditions on adult survival of a long-lived vertebrate. OIKOS., We acknowledge financial support through projects RESET (CGL2017-85210-P), IBISES (ref. CGL2013-42203-R) and MINOW (ref. H2020- 634495)., This work was funded through projects RESET (CGL2017-85210-P) and IBISES (ref. CGL2013-42203-R). APP was supported by a predoctoral fellowship of the Ministry of Education (FPU-AP 2012-0869). ASA is supported by a postdoctoral contract co-funded by the Regional Government of the Balearic Islands and the European Social Fund (ref. PD/003/2016) and a Ramón y Cajal fellowship ( Ref. RYC-2017- 22796)., The data file contains resight histories of Audouin’s gulls born at Ebro Delta and observed during breeding seasons 1995 to 2009. This file contains one line per individual; one column per encounter occasion (from column 1 to 15 were code 1 indicate resight at Ebro Delta colony and code 2 resight at other colony); one line indicating the number of individual capture histories (column 16); and three further columns indicating the standardized values of early life individual covariates (columns 17, 18, and 19; for DD, WNAO, and DD*WNAO, respectively)., No

Peer reviewed

Peer reviewed

Peer reviewed

Methodology: The genetic material comprise 57 populations (8 of Brutia pine and 49 of Aleppo pine) originating from 7 countries of the Mediterranean Basin (Italy, Tunisia, Spain, Turkey, France, Greece and Morocco). Trials were established in 1992 and assessments were carried out 1, 6, 9, 12, 14, 17 and 21 years after planting. Assessed variables are listed within the Excel file (Readme sheet). Access and reuse: This dataset is subject to a Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional License., This dataset compiles phenotypic information of height and diameter growth, survival and defoliation by the processionary moth (Thaumetopoea pityocampa) assessed at different ages (up to 22 years-old) in two provenance tests (Izarene and Chatba) of Pinus halepensis and Pinus brutia established in Morocco., This research was founded by the National Forest Research Centre budget, Morocco. RZ received support from the Grant FUTURPIN AGL2015-68274-C03-02R founded by MINECO/FEDER., No