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Sediment samples were microwave digested using HCl, HNO3 and HF at the Marine Geochemistry Lab, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven by Jessica Volz. Digested samples were then analyzed by ICP-MS at Jacobs University Bremen by Sophie Paul. LOQ = Limit of quantification

Web of Science search terms for UK invasive species publication numbers, alongside resulting study numbers

This dataset contains dumps of the OpenAIRE Research Graph containing metadata records relevant for the research communities and initiatives collaborating with OpenAIRE as of 12 April 2021. Each dump is a tar file containing gzip files with one json per line. Each json is compliant to the schema available at https://doi.org/10.5281/zenodo.4723499 Only the metadata records related to communities and initiatives with a public Open Research Gateway on OpenAIRE CONNECT are available in this deposition. Find out the Open Research Gateway of the communities and initiatives based on this data at https://connect.openaire.eu. Data available via the Open Research Gateways may be more up-to-date than the dumps you find here.

Biomass time series of phytoplankton (A), zooplankton (B), N. scintillans (C), and jellyfish (D). Stock and catch time series of small and medium pelagic fish (E-F) and demersal fish (G-H); stocks and catches are expressed as 1,000 tons Supplement to: Bodini, Antonio; Rocchi, Sergio; Scotti, Marco (2017): Insights into the ecology of the Black Sea through the qualitative loop analysis of the community structure. Limnology and Oceanography

Scenario description: Test session for AD vehicle approaching an intersection with jaywalking at traffic light Session description: A "smart" traffic light with a stereocamera sends SPaT and MAP messages describing the topology, actual status of the traffic light, presence of pedestrian, and jaywalking occurrence to other connected vehicles (via DENM) and to the oneM2M platform on the cloud. An AD vehicle consumes the information and autonomously adapts its speed in order to cross the intersection without violating the traffic light phases, or even stop to avoid collision with pedestrian. The influence of other vehicles moving in front is considered too. Datasets descriptions: AUTOPILOT_Livorno_UrbanDriving_Vehicle_all: Data generated from the vehicle sensors This dataset refers to the vehicle datasets generated from the vehicle sensors during Urban Driving in Livorno. This includes the data coming from the CAN bus and GPS. It includes following kind of dataset: Vehicle: general data (speed, battery); PositioningSystem: data from GPS; VehicleDynamics: data about dynamic (acceleration...); LateralControl: steering and lane control data AUTOPILOT_Livorno_UrbanDriving_V2X_all: V2V messages during platooning sessions This dataset refers to the V2V messages exchanged between ITS stations (vehicles and RSUs) during the Urban Drining in Livorno. AUTOPILOT_Livorno_UrbanDriving_IoT_all: Data extracted from IoT oneM2M platform This dataset refers to messages exchanged by Urban Driving devices, applications and services across the oneM2M platform.

Relationships between trade value and recorded cost entries per country in InvaCost, as well as land area and human population with total cost

The present biogeochemical parameters were measured or calculated in 2013 during a long-term mesocosm CO2 perturbation study in Gullmar Fjord (Sweden). The natural plankton community was enclosed in ten pelagic mesocosms following the natural winter-to-summer plankton succession. Five of the mesocosms were enriched with CO2 to simulate end-of the century ocean acidification (760 µatm) while the others served as controls. The data set was used for mass balance calculations to investigate the impact of realistic end-of-the-century CO2 concentrations on the development and partitioning of the carbon, nitrogen, phosphorus, and silica pools in a coastal pelagic ecosystem. Supplement to: Boxhammer, Tim; Taucher, Jan; Bach, Lennart Thomas; Achterberg, Eric Pieter; Algueró-Muñiz, Maria; Bellworthy, Jessica; Czerny, Jan; Esposito, Mario; Haunost, Mathias; Hellemann, Dana; Ludwig, Andrea; Yong, Jaw-Chuen; Zark, Maren; Riebesell, Ulf; Anderson, Leif G (2018): Enhanced transfer of organic matter to higher trophic levels caused by ocean acidification and its implications for export production: A mass balance approach. PLoS ONE, 13(5), e0197502

Additional file 7: Table S6. List of genes differentially expressed and relative Fold Changes identify by kallisto-sleuth pipeline.

1) Resume_Raw_Data.xlsx Is the resume of the primary data that was extracted from the Spanish electricity grid database in Megawatts. 2) Average_electrical_Available_2007-2019_in_Spain_in_Megawatt.xlsx The table contains the Average electrical demand per month during 2007-2019 in Spain in Megawatt 3) Average_electrical_Available_2007-2019_in_Spain_in_Megawatt.xlsx The table contains the Average electrical availability per month during 2007-2019 in Megawatt in Spain 4) EV_amount_recharged.xlsx The table contains the EV amount that can be recharged from 0 to 24 hours in Spain 5) Forecast_Average_electrical_demand_(Megawatt)_2020.xlsx The table contains the Forecast for Average electrical demand (Megawatt) per month during 2020 in Spain 6) Forecast_Average_electrical_demand_(Megawatt)_2021.xlsx The table contains the Forecast for Average electrical demand (Megawatt) per month during 2021 in Spain 7) Forecast_Average_electrical_demand_(Megawatt)_2022.xlsx The table contains the Forecast for Average electrical demand (Megawatt) per month during 2022 in Spain 8) Forecast_Average_electrical_demand_(Megawatt)_2023.xlsx The table contains the Forecast for Average electrical demand (Megawatt) per month during 2023 in Spain 9) Electrical_availability_forecast_(MW)_2020.xlsx The table contains the Electrical availability forecast (MW) from 0 to 24 h in 2020 in Spain 10) Electrical_availability_forecast_(MW)_2021.xlsx The table contains the Electrical availability forecast (MW) from 0 to 24 h in 2021 in Spain 11) Electrical_availability_forecast_(MW)_2022.xlsx The table contains the Electrical availability forecast (MW) from 0 to 24 h in 2022 in Spain 12) Electrical_availability_forecast_(MW)_2023.xlsx The table contains the Electrical availability forecast (MW) from 0 to 24 h in 2023 in Spain 13) EV_amount_forecast_recharged_simultaneously_2020.xlsx The table contains the EV amount forecast that can be recharged simultaneously from 0 to 24 hours in 2020 in Spain 14) EV_amount_forecast_recharged_simultaneously_2021.xlsx The table contains the EV amount forecast that can be recharged simultaneously from 0 to 24 hours in 2021 in Spain 15) EV_amount_forecast_recharged_simultaneously_2022.xlsx The table contains the EV amount forecast that can be recharged simultaneously from 0 to 24 hours in 2022 in Spain 16) EV_amount_forecast_recharged_simultaneously_2023.xlsx The table contains the EV amount forecast that can be recharged simultaneously from 0 to 24 hours in 2023 in Spain When using the data, you must quote the following article: Martínez-Lao, J., Montoya, F.G., Montoya, M.G., Manzano-Agugliaro, F. Electric vehicles in Spain: An overview of charging systems (2017) Renewable and Sustainable Energy Reviews, 77, pp. 970-983. DOI: 10.1016/j.rser.2016.11.239

This dataset contains results from simulations with the AWI Earth System Models AWI-ESM with two different model setups: one with an interactive ice sheet model (PISM) for the Greenland ice sheet domain and one without. With both model setups, the Representative Concentration Pathways scenarios RCP4.5 and RCP8.5 were simulated. The simulation runs were prolonged to the year 2200. We investigated the effect of the incorporated ice sheet model on the Atlantic meridional overturning circulation. As the ice sheet is not only melting but also growing in some areas, the freshwater release is partly compensated. Therefore, the effect on the Atlantic meridional overturning circulation is rather small. The dataset contains time series of global average temperature, atmospheric and oceanic freshwater fluxes for the Atlantic catchment area, several ice volume fluxes of the Greenland ice sheet, and the AMOC index. Furthermore, it contains spatial data mostly as anomalies (the last 30 year average minus the control state) of the Greenland ice sheet thickness and mass balance, sea surface salinity and sea ice concentration and precipitation minus evaporation and vertical profiles of anomalies of temperature, salinity, and density for the regions of deep water formation in the North Atlantic. All files are in the NetCDF format.