This dataset contains the OVIDE 2018 qualified measurements of  the hydrographic CTD-02 (genuine netCDF and zipped text files in WHP format) bottle data (WHP format with traditionnal headers) Ship Acoustic Doppler Current Profilers (OS 38kHz and 150 kHz, CASCADE netCDF format) Lowered Acoustic Doppler Current Profilers (WH150 downlooking and WH300 uplooking, zipped ascii format from LDEO software) Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

During the 2014 BICOSE cruise of RV Pourquoi Pas ? (Cambon-Bonavita 2014, https://lienss.univ-larochelle.fr/isotopic-spectrometry). The dataset consists of two files: one containing the data itself, and one describing all used terms (measurements or metadata). Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

The SURATLANT dataset (SURveillance ATLANTique) consists of individual data of temperature, salinity, dissolved inorganic carbon (DIC) and its isotopic composition d13CDIC, total alkalinity (At), inorganic nutrients and water stable isotopes (d18O and dD) collected mostly from ships of opportunity since 1993 along transects between Iceland and Newfoundland. The data have been validated, qualified, and their accuracy and the overall characteristics of the data set are presented in a paper (Reverdin et al., 2018, submitted to ESSD). The csv file provides a listing of the data with one line for each collection date. This includes collection date, position, temperature, salinity, and the measured, validated and in some cases adjusted variables, as well as a quality code following WOCE/GLODAP format. For water isotopes, a code is also provided indicating the method of measurement used. Format and units are described in the top 56 lines of the files, and the data listing starts on line 61. An additional text-file provides a normalized average seasonal cycle of the 10 variables measured in 5 boxes between the vicinity of Newfoundland to the south-west of Iceland (corresponding to the figure 3 of the paper Reverdin et al in the References). Format and information is provided in the top 25 lines and the gridded seasonal cyle data start at line 26.

AMBER Concept The general aim of AMBER is the implementation and application of the Ecosystem Approach to Management (EAM) to the Baltic Sea with a focus on the coastal ecosystem (CE). The first step of AMBER is the separation of climate from anthropogenic signals in the CE by means of a combinatorial variation in model’s boundary conditions using the output of existing regional climate change scenarios and the output of a watershed model simulating changes in land use. The second step of AMBER is the application of models for future projections. To reduce the problem of model uncertainties, the ensemble method will be applied. The resulting projections are milestones for the development of EAM tools.

The SIGNAL research project, funded by the BiodivERsA call of the ERA-Net, focuses on the effects of extreme weather events on biodiversity, ecosystem functions, resilience and tipping points in grasslands along a pan-European climatic gradient. Studying the effects of extreme drought on biodiversity and ecosystem functions is a key facet of current climate change research. SIGNAL will investigate mechanisms of resilience in European grassland prone to novel climate extremes and identify early warning signals of thresholds and regime shifts by installation of replicated experimental manipulations of climate extremes at 8 grassland sites across Europe (field experiments and mesocoms including legumes, invasive species, species richness and within-species diversity). SIGNAL results will provide experimental evidence on mechanisms of resilience across European gradients, which may serve to regulate ecosystem services in the face of climate extremes and foster the identification of early warning signals of thresholds of regime shift. SIGNAL is well-connected within the scientific community, members belonging to large research initiatives such as CLIMMANI, CExtreme, Precip-Net, TERRAC, INTERFACE producing outstanding scientific insights, contributing to global science networks, such as IGBP and DIVERSITAS. SIGNAL will intensely serve the science-policy interface by delivering timely, highly relevant and understandable information to policymakers and stakeholders about European gradients of resilience and indicators of tipping points in the face of climate extremes, supporting EU policies and national legislative frameworks.

The SIGNAL research project, funded by the BiodivERsA call of the ERA-Net, focuses on the effects of extreme weather events on biodiversity, ecosystem functions, resilience and tipping points in grasslands along a pan-European climatic gradient. Studying the effects of extreme drought on biodiversity and ecosystem functions is a key facet of current climate change research.