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97 results for “European countries”
Supplementary material 6 from: Sieber I, Borges P, Burkhard B (2018) Hotspots of biodiversity and ecosystem services: the Outermost Regions and Overseas Countries and Territories of the European Union. One Ecosystem 3: e24719. https://doi.org/10.3897/oneeco.3.e24719
Regional Overview: Mapping and Assessment of Ecosystem Services in the Indian Ocean EU Outermost Regions and Overseas Countries and Territories
Supplementary material 1 from: Sieber I, Borges P, Burkhard B (2018) Hotspots of biodiversity and ecosystem services: the Outermost Regions and Overseas Countries and Territories of the European Union. One Ecosystem 3: e24719. https://doi.org/10.3897/oneeco.3.e24719
Regional Overview: Mapping and Assessment of Ecosystem Services in the Polar and South Polar EU Overseas Countries and Territories
Supplementary material 5 from: Sieber I, Borges P, Burkhard B (2018) Hotspots of biodiversity and ecosystem services: the Outermost Regions and Overseas Countries and Territories of the European Union. One Ecosystem 3: e24719. https://doi.org/10.3897/oneeco.3.e24719
Regional Overview: Mapping and Assessment of Ecosystem Services in the South Atlantic EU Overseas Countries and Territories
Dataset for optimal Wind+Hydrogen+Other+Battery+Solar (WHOBS) electricity systems for European countries
<p>Data outputs from optimisation of Wind+Hydrogen+Other+Battery+Solar (WHOBS) electricity systems for European countries.</p> <p>Input data and code can be found here:</p> <p>https://github.com/PyPSA/WHOBS</p> <p>The summary of the results with metadata can be found here:</p> <p>https://github.com/PyPSA/WHOBS/tree/master/results-181002</p> <p>if you don't want to download 6 GB.</p> <p>To load the data, install PyPSA and do e.g. for Germany (DE) in 2030:</p> <p>network = pypsa.Network("DE-2030.nc")</p> <p>Note that in these files, in some hours batteries discharge and charge at the same time. This is because the model wants to dump energy and this behaviour has the same cost and effect as curtailing wind and solar. In the latest version of the github code, wind and solar have tiny marginal costs (0.02 and 0.01 EUR/MWh respectively) to prevent this behaviour. With these costs, curtailment is preferred.</p>
Weather- and climate-driven power supply and demand time series for European countries
<p>This repository contains times series of wind power generation, solar power generation, hydropower inflow, heating demand, and cooling demand that use both historical and projected climate variables. Historical climate data are from the ERA5 reanalysis (1940-2023), while projected climate variables are from three climate models of the CMIP5 EURO-CORDEX (2006-2100) and three representative concentration pathways (RCP 2.6, RCP 4.5 and RCP 8.5). The time series are at country level for the EU27 countries, Balkan countries, the United Kingdom, Norway, and Switzerland.</p> <p>Each country has the following files for the historical period, where ** is the country’s ISO Alpha-2 code:</p> <p>1) **__ERA5__wind__capacity_factor_time_series__onshore.nc<br>2) **__ERA5__wind__capacity_factor_time_series__offshore.nc<br>3) **__ERA5__solar__capacity_factor_time_series.nc<br>4) **__ERA5__hydropower__inflow_time_series__conventional_and_pumped_storage.nc<br>5) **__ERA5__hydropower__inflow_time_series__run_of_river.nc<br>6) **__ERA5__heating__demand_time_series__residential_space.nc<br>7) **__ERA5__heating__demand_time_series__services_space.nc<br>8) **__ERA5__cooling__demand_time_series.nc</p> <p>Each country has also the following files for the climate projections, where ** is the country’s ISO Alpha-2 code, #_# is the value of the RCP scenario (e.g., 2_6 is RCP 2.6), ££££__&&&& is the name of the combination of global-regional climate models (e.g., CNRM_CERFACS_CM5__CNRM_ALADIN63):</p> <p>9) **__CORDEX__RCP_#_#__££££__&&&&__wind__capacity_factor_time_series__onshore.nc<br>10) **__CORDEX__RCP_#_#__££££__&&&&__wind__capacity_factor_time_series__offshore.nc<br>11) **__CORDEX__RCP_#_#__££££__&&&&__solar__capacity_factor_time_series.nc<br>12) **__CORDEX__RCP_#_#__££££__&&&&__hydropower__inflow_time_series__conventional_and_pumped_storage.nc<br>13) **__CORDEX__RCP_#_#__££££__&&&&__hydropower__inflow_time_series__run_of_river.nc<br>14) **__CORDEX__RCP_#_#__££££__&&&&__heating__demand_time_series__residential_space.nc<br>15) **__CORDEX__RCP_#_#__££££__&&&&__heating__demand_time_series__services_space.nc<br>16) **__CORDEX__RCP_#_#__££££__&&&&__cooling__demand_time_series.nc</p> <p>The repository also contains the caliration coefficients that resulted from the calibration procedure for the countries in which data were available.</p> <p> </p>
Data from: Local and landscape-level floral resources explain effects of wildflower strips on wild bees across four European countries
1. Growing evidence for declines in wild bees calls for the development and implementation of effective mitigation measures. Enhancing floral resources is a widely accepted measure for promoting bees in agricultural landscapes, but effectiveness varies considerably between landscapes and regions. We hypothesize that this variation is mainly driven by a combination of the direct effects of measures on local floral resources and the availability of floral resources in the surrounding landscape. 2. To test this, we established wildflower strips in four European countries, using the same seed mixture of forage plants specifically targeted at bees. We used a before–after control–impact approach to analyse the impacts of wildflower strips on bumblebees, solitary bees and Red List species and examined to what extent effects were affected by local and landscape-wide floral resource availability, land-use intensity and landscape complexity. 3. Wildflower strips generally enhanced local bee abundance and richness, including Red-listed species. Effectiveness of the wildflower strips increased with the local contrast in flower richness created by the strips and furthermore depended on the availability of floral resources in the surrounding landscape, with different patterns for solitary bees and bumblebees. Effects on solitary bees appeared to decrease with increasing amount of late-season alternative floral resources in the landscape, whereas effects on bumblebees increased with increasing early-season landscape-wide floral resource availability. 4. Synthesis and applications. Our study shows that the effects of wildflower strips on bees are largely driven by the extent to which local flower richness is increased. The effectiveness of this measure could therefore be enhanced by maximizing the number of bee forage species in seed mixtures, and by management regimes that effectively maintain flower richness in the strips through the years. In addition, for bumblebees specifically, our study highlights the importance of a continuous supply of food resources throughout the season. Measures that enhance early-season landscape-wide floral resource availability, such as the cultivation of oilseed rape, can benefit bumblebees by providing the essential resources for colony establishment and growth in spring. Further research is required to determine whether, and under what conditions, wildflower strips result in actual population-level effects.
FIGURE 2. A in Variegated mud-loving beetles (Heteroceridae) of Russia and adjacent countries genus Augyles of European part of Russia and Caucasus Region
FIGURE 2. A coding system for administrative regions of European Russia, North Caucasus and Crimea (CRM).
Data for: Perennial biomass cropping and use: Shaping the policy ecosystem in European countries
<p><span>Demand for sustainably produced biomass is expected to increase with the need to provide renewable commodities, improve resource security, and reduce greenhouse gas emissions in line with COP26 commitments. Studies have demonstrated additional environmental benefits of using perennial biomass crops (PBCs), when produced appropriately, as a feedstock for the growing bioeconomy, including utilisation for bioenergy (with or without carbon capture and storage). PBCs can potentially contribute to Common Agricultural Policy (CAP) (2023–27) objectives provided they are carefully integrated into farming systems and landscapes. Despite significant R&D investment over decades in herbaceous and coppiced woody PBCs, deployment has largely stagnated due to social, economic and policy uncertainties. This paper identifies the challenges in creating policies that are acceptable to all actors. Development will need to be informed by measurement, reporting and verification (MRV) of greenhouse gas emissions reductions and other environmental, economic and social metrics. It discusses interlinked issues that must be considered in the expansion of PBC production: i) available land; ii) yield potential; iii) integration into farming systems; iv) research and development (R&D) requirements; v) utilisation options; and vi) market systems and the socioeconomic environment. It makes policy recommendations that would enable greater PBC deployment: 1) incentivise farmers and land managers through specific policy measures, including carbon pricing, to allocate their less productive and less profitable land for uses which deliver demonstrable greenhouse gas reductions; 2) enable GHG mitigation markets to develop and offer secure contracts for commercial developers of verifiable low carbon bioenergy and bio-products; 3) support innovation in biomass utilisation value chains; and 4) continue long-term, strategic R&D and education for positive environmental, economic and social sustainability impacts.</span></p>
ITS2 European countries
<p>Two Viridiplantae ITS2 databases per each of the 27 countries from European Union, according to the flora listed on Euro+Med PlantBase and GBIF.</p> <p>If you use this dataset, please cite Quaresma et al. 2024, Scientific Data, DOI: 10.1038/s41597-024-02962-5</p>
Evaluation of the Effectiveness of Eliquis ® (Apixaban) Risk Minimization Tools in European Economic Area (EEA) Countries
ClinicalTrials.gov study NCT02339818. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The Effectiveness of Supported Employment for People With Severe Mental Illness: an RCT in Six European Countries
ClinicalTrials.gov study NCT00461318. IPD Sharing: Not stated. Countries: 1. Publications: 1.
EAMA Sarcopenia in Acute Care Patients in 9+European Countries
ClinicalTrials.gov study NCT04039620. IPD Sharing: NO. Countries: 1. Publications: 1.
A Randomized Controlled Multicenter Trial of Exercise Training in Pulmonary Hypertension in European Countries
ClinicalTrials.gov study NCT03345212. IPD Sharing: Not stated. Countries: 1. Publications: 9.
To Evaluate the Incidence of Acute Otitis Media in Children in Five East European Countries
ClinicalTrials.gov study NCT01365390. IPD Sharing: Not stated. Countries: 5. Publications: 1.
Data from: Rapid and robust phylotyping of spa t003, a dominant MRSA clone in Luxembourg and other European countries
Open the record for dataset details and reuse information.
Data from: Local and landscape-level floral resources explain effects of wildflower strips on wild bees across four European countries
Open the record for dataset details and reuse information.
Lack of spatial coordinate information for an important insect order (Lepidoptera) in a Central European country
Open the record for dataset details and reuse information.
Data for: Perennial biomass cropping and use: Shaping the policy ecosystem in European countries
Open the record for dataset details and reuse information.
BIT List W-European Countries 1959-1989
<p>This is a course trial. The dataset contains all BITs negotiated by West-Germany, Switzerland, France, The Netherlands and the BLEU during the period 1959-1989, as well as selected provisions (FET, FPS, Expropriation, Umbrella clause, Arbitrary and/or discriminatory measures)</p>
Supplementary material 2 from: Sieber I, Borges P, Burkhard B (2018) Hotspots of biodiversity and ecosystem services: the Outermost Regions and Overseas Countries and Territories of the European Union. One Ecosystem 3: e24719. https://doi.org/10.3897/oneeco.3.e24719
all studies were conducted between 1991 and 2017 .
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