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The dataset consists of a 39-year long directional wave time series recorded since 1979 at the CNR-ISMAR "Acqua Alta" oceanographic research tower (AAOT), located in the Northern Adriatic Sea. The extent of the time series allows to describe the wave climate in the North Adriatic region and to identify trends and links with large scale climate patterns from a single and permanent observational source.The northern part of the Adriatic Sea is characterized by two main wind and correspondingly wave regimes, strongly forced by the regional orography. The high sensitivity of this particular area to even small variations of large scale meteorological patterns allows to explore possible links of the local wave, hence wind, activity with large-scale north hemisphere circulation or weather regimes.Different wave gauges have been used since the start of the measurements, progressively upgraded and repositioned during maintenance operations. The recorded wave data have been thoroughly verified and corrected where necessary. Issues related to lack of homogeneity in the original recorded time series are discussed in the related Data Descriptor published on Scientific Data: Pomaro, A., Cavaleri, L., Papa, A. & Lionello, P., 39 years of directional wave recorded data and relative problems, climatological implications and use. Scientific Data (2018). In particular the second period (1987-2003) of the overall record has required a specific analysis and it has been partially corrected taking into account an original error in the position of one of the transducers. The methods leading to a corrected time-series are fully described in the cited publication. This may need to be considered for certain specific uses of the timeseries. Supplement to: Pomaro, Angela; Cavaleri, Luigi; Papa, Alvise; Lionello, Piero (2018): 39 years of directional wave recorded data and relative problems, climatological implications and use. Scientific Data, 5, 180139

Additional file 2: Table S2. Bacteria OUT table with sequence tag count per sample and taxonomic affiliations.

Carbon export (from the epipelagic towards the mesopelagic zone) and sequestration (from the mesopelagic towards the bathypelagic zone) in the ocean are reviewed. Particulate organic carbon (POC) flux, and active flux due to migrant zooplankton and micronekton are shown from the epipelagic to the mesopelagic zone, and from the latter to the bathypelagic zone. Values towards the meso- and bathypelagic zones are compared in oligotrophic and productive systems. Zooplankton and prokaryote respiration in the meso- and bathypelagic zones of the ocean are also reviewed for oligotrophic and productive systems. Values were integrated over a depth layer and are given as the flux or respiration under one square meter (in g/m**2/a) between e.g. 100 m and 1000 m depth.

Marine enviromental data from Biogeochemical models in paper "Can we project changes in fish abundance and distribution in response to climate?" at Global Change Biology journal

This submission consists of 40 eddy covariance datasets collected from six shallow sites in the Baltic Sea over an 18 month period. Hourly fluxes were extracted from the high-density data streams and were used to compute daily rates of benthic metabolism (gross primary production (GPP), respiration (R), and net ecosystem metabolism (NEM); in mmol O2 m-2 d-1). These were converted to C assuming an O2 : C of 1.0 for GPP and R. A description of the flux data processing protocol is given in the manuscript. These datasets were used to compute annual rates of GPP, R, and NEM at each habitat site. The annual rates were then used to investigate (i) phototrophic biomass turnover rates, by comparing the GPP rates with standing phototrophic biomass measurements, and (ii) the regional importance of benthic metabolism, by upscaling the annual rates to habitat distribution maps. This dataset includes all data on standing biomass and habitat extent. Attard et al. LO LettersDaily benthic metabolism rates, annual integrated rates, biomass turnover rates, and spatial upscaling estimates presented in Attard et al. LO LettersMetadata template_Attard et alMetadata template for Attard et al. LO Letters dataset

Comext Download of groups of HS-8 codes for tuna; tuna loins, other prepared/preserved, frozen whole. From Cabo Verde, Ghana, Senegal and Cote d'Ivoire to EU for the period 2015 to 2019. Value in EUR and quantity in 100 kgs.

Here we provide a few test cases for the MISOMIP2 ocean interpolation package (https://github.com/nicojourdain/misomip2). The aims are : help users check that this package works well in their python environment before adapting it to their model outputs. help developers check that new developments work for all types of model. The test cases characteristics are the following: NEMO_test : 2 months, a small NEMO domain in the Amundsen Sea (smaller than the MISOMIP2 domain) at medium resolution, in Z coordinates, with all required variables [provided by Nico Jourdain]. MITGCM_test : 2 months, a small MITGCM domain in the Amundsen Sea (smaller than the MISOMIP2 domain) at relatively high resolution in stereographic coordinates; vertical Z coordinates; does not contain the required sea-ice or surface fluxes [provided by Jan De Rydt]. eORCA025_test : 2 months, a global NEMO domain at medium resolution, in Zstar coordinates; most variables calculated [provided by Pierre Mathiot]. ROMS_test : 3 months, a circum-Antarctic simulation at medium resolution, in sigma coordinates; does not contain sea-ice or surface fluxes [provided by Ole Richter]. We do not provide more information on the individual model configurations as the aim is here only to test interpolation scripts.