This gridded product visualizes 1960 - 2014 water body total phosphorus concentration (umol/l) in the North Sea domain, for each season (winter: December – February; spring: March – May; summer: June – August; autumn: September – November). It is produced as a Diva 4D analysis, version 4.6.11: a reference field of all seasonal data between 1960-2014 was used; results were logit transformed to avoid negative/underestimated values in the interpolated results; error threshold masks L1 (0.3) and L2 (0.5) are included as well as the unmasked field. Every step of the time dimension corresponds to a 10-year moving average for each season. The depth dimension allows visualizing the gridded field at various depths.

Specification of the desirable and recommended product attributes for generating spatial layers of sea-level trend (units: mm/year) from tide gauges over periods of 50 years (1963-2012) and 100 years (1913-2012), to characterize and assess average annual sea-level rise at the coast.

Première utilisation du sol, devant l'agriculture et loin devant l'urbanisme, la forêt couvre 45 % du territoire aquitain. La région se caractérise par la domination d'une essence, le pin maritime. Celui-ci couvre plus de la moitié de la surface forestière régionale. Outre sa valeur patrimoniale, cette forêt génère une activité économique qui représente environ 3 milliards d'euros. Ce secteur forêt-bois est donc un formidable gisement d'emplois, principalement en milieu rural. Cet espace occupé par la forêt attise néanmoins des convoitises pour différents types d'usage: l'urbanisation, les installations photovoltaïques ou encore l'agriculture.

Mediterranean Sea Climatology computed from the SeaDataNet V1.1 aggregated dataset . The version used for the DIVA software is the 4.6.9. The period covers 1900-2013. For data access please register at http://www.marine-id.org

This gridded product visualizes 1960 - 2014 water body total nitrogen concentration (umol/l) in the North Sea domain, for each season (winter: December – February; spring: March – May; summer: June – August; autumn: September – November). It is produced as a Diva 4D analysis, version 4.6.11: a reference field of all seasonal data between 1960-2014 was used; results were logit transformed to avoid negative/underestimated values in the interpolated results; error threshold masks L1 (0.3) and L2 (0.5) are included as well as the unmasked field. Every step of the time dimension corresponds to a 10-year moving average for each season. The depth dimension allows visualizing the gridded field at various depths.

Specification of the desirable and recommended products attributes for generating spatial layers of sea surface temperature for the last 10, 50 and 100 years for the Mediterranean basin and for each NUTS3 region along the coast.

Description of attributes for time series of annual average sea level (units: mm) from tide gauges over periods of 50 years (1963-2012) and 100 years (1913-2012), to characterize and assess average annual sea-level rise relative to the land.

Moving 10-years analysis of phosphates at Mediterranean Sea for each season : - winter (January-March), - spring (April-June), - summer (July-September), - autumn (October-December). Every year of the time dimension corresponds to the 10-year centered average of each season. Decades span from 1960-1969 until 2004-2013. Observational data span from 1960 to 2013. Depth range (IODE standard depths): -1500.0, -1400.0, -1300.0, -1200.0, -1100.0, -1000.0, -900.0, -800.0, -700.0, -600.0, -500.0, -400.0, -300.0, -250.0, -200.0, -150.0, -125.0, -100.0, -75.0, -50.0, -30.0, -20.0, -10.0, -5.0, -0.0. Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. Profiles were interpolated at standard depths using weighted parabolic interpolation algorithm (Reiniger and Ross, 1968). GEBCO 1min topography is used for the contouring preparation. Analyzed filed masked using relative error threshold 0.3 and 0.5. DIVA settings: A constant value for signal-to-noise ratio was used equal to 3. Correlation length was optimized and filtered vertically and a seasonally-averaged profile was used. Logarithmic transformation applied to the data prior to the analysis. Background field: the data mean value is subtracted from the data. Detrending of data: no. Advection constraint applied: no. Originators of Italian data sets-List of contributors • Brunetti Fabio (OGS) • Cardin Vanessa, Bensi Manuel doi:10.6092/36728450-4296-4e6a-967d-d5b6da55f306 • Cardin Vanessa, Bensi Manuel, Ursella Laura, Siena Giuseppe doi:10.6092/f8e6d18e-f877-4aa5-a983-a03b06ccb987 • Cataletto Bruno (OGS) • Cinzia Comici Cinzia (OGS) • Civitarese Giuseppe (OGS) • DeVittor Cinzia (OGS) • Giani Michele (OGS) • Kovacevic Vedrana (OGS) • Mosetti Renzo (OGS) • Solidoro C.,Beran A.,Cataletto B.,Celussi M.,Cibic T.,Comici C.,Del Negro P.,De Vittor C.,Minocci M.,Monti M.,Fabbro C.,Falconi C.,Franzo A.,Libralato S.,Lipizer M.,Negussanti J.S.,Russel H.,Valli G., doi:10.6092/e5518899-b914-43b0-8139-023718aa63f5 • Celio Massimo (ARPA FVG) • Malaguti Antonella (ENEA) • Fonda Umani Serena (UNITS) • Bignami Francesco (ISAC/CNR) • Boldrini Alfredo (ISMAR/CNR) • Marini Mauro (ISMAR/CNR) • Miserocchi Stefano (ISMAR/CNR) • Zaccone Renata (IAMC/CNR) • Lavezza, R., Dubroca, L. F. C., Ludicone, D., Kress, N., Herut, B., Civitarese, G., Cruzado, A., Lefèvre, D., Souvermezoglou, E., Yilmaz, A., Tugrul, S., and Ribera d’Alcala, M.: Compilation of quality controlled nutrient profiles from the Mediterranean Sea, doi:10.1594/PANGAEA.771907, 2011. Units: umol/l

The GEBCO_2014 Grid is classified as a historical Gebco dataset with a spatial resolution of 30 arc seconds. Originally published in 2014, last updated in April 2015. The data set is largely based on a database of ship-track soundings with interpolation between soundings guided by satellite-derived gravity data. Where they improve on this model, data sets generated from other methods are included. The grid is accompanied by a Source Identifier Grid (SID). This indicates if the corresponding cells in the GEBCO_2014 Grid are based on soundings, pre-generated grids or interpolation.

Metabolome of of the marine diatom Haslea ostrearia. Bacteria were isolated from Haslea ostrearia isolates cultivated in ES 1/3 medium in laboratory conditions over a 3-month period. These microalgal isolates were recovered from four sites on the French Atlantic coast: Bouin , La Barre-de-Monts (46.90 N; 2.11°W), Isle de Ré (46.22 N; 1.45°W), and La Tremblade (45.80 N; 1.15°W) . Data processing and statistical analysis of the metabolic profiles were performed on an LC/MS Metabolomics Discovery Workflow using Mass Profiler Professional Software and an Agilent 1290 Infinity II LC system coupled to an Agilent 6540 UHD Accurate-Mass QTOF hybrid mass spectrometer (Agilent Technologies, Waldbronn, Germany) equipped with a dual electrospray ionization (ESI) source. The full history (tools, parameters, input and output data files) is publicly available on http://dx.doi.org/10.12770/046e1e6a-864e-48a6-944b-d8613d67de0f