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Electricity generation/consumption, renewable energy, smart grid, oil/gas, carbon emissions
4,432 datasets
Seine-et-Marne, France, contains designated Wind Development Zones (ZDEs). The dataset was published by the Bureau de Recherches Géologiques et Minières (BRGM) and last updated on April 4, 2019. It likely contains polygons representing areas authorized for wind turbine installations based on criteria like wind potential, grid connection, and environmental protection.
Historical data on wind development zones (ZDEs) in the Lorraine region, authorized up to 2019. The dataset, provided by the Bureau de Recherches Géologiques et Minières, defines areas where wind power plants are eligible for fixed-tariff electricity purchase obligations. Zones are established based on wind potential, grid connection feasibility, and environmental and heritage protection criteria.
BUREAU DE RECHERCHES GÉOLOGIQUES ET MINIÈRES provides a dataset of surface perimeters for gas transmission and distribution pipelines linked to Class I3 easements. The data covers the perimeter of the former Limousin region within New Aquitaine and was last updated on 2019-03-29. It describes the linear generators of easements related to natural gas transportation, such as rights for tree felling and passage on private land.
Approved on 19 June 2013, this dataset contains the digital geographical data for the Technological Risk Prevention Plan (PPRT) of the Dijon oil warehouse in Côte-d'Or, France. It was created by the Bureau de Recherches Géologiques et Minières (BRGM) and last updated in March 2019. The data standard includes specifications for storing regulatory zoning, hazard maps, and identified issues related to industrial risks.
The COVADIS Data Standard on Technological Risk Prevention Plans (PPRTs) contains specifications for the digital storage of geographical data for Risk Prevention Plans (RPPs). The PPRT for the Dijon oil warehouse was approved on 19 June 2013 and covers four technological risks: nuclear, industrial, transport of hazardous materials, and dam failure. The dataset is provided by the Bureau de Recherches Géologiques et Minières and was last updated on 29 March 2019.
Geospatial zones defining land-use restrictions around the Dijon oil warehouse in Côte-d’Or, France, based on the Technological Risk Prevention Plan (PPRT). The plan was developed by the Bureau de Recherches Géologiques et Minières and approved on 19 June 2013. It categorizes areas into 'red zones' where construction is prohibited and 'blue zones' where projects are subject to specific requirements.
The BUREAU DE RECHERCHES GÉOLOGIQUES ET MINIÈRES provides data on the real-world entities at the origin of industrial risks. This dataset specifically details the risk origin enclosure for the Dijon oil warehouse, whose associated PPRT (Technological Risk Prevention Plan) was approved on 19 June 2013. The data was last updated on 29 March 2019.
Wind turbine construction permit records for the Lorraine region of France, managed by the Bureau de Recherches Géologiques et Minières. The data includes permit requirements for turbines over 12 meters high and likely contains the geographical location of turbines within parks. The dataset was last updated on April 1, 2019.
A 2019 geospatial dataset from the Bureau de Recherches Géologiques et Minières (BRGM) crossing municipal zoning plans (PNAUs) for Miquelon with projected coastal hazard areas for the year 2100. It identifies zones of moderate to high submersion hazard and high hazard for coastline crossing and recoil, subject to wave impact. The data is provided via an INSPIRE download service.
Wind turbines from the department of Creuse tracks installations where building permits have been issued or refused. The dataset is provided by the Bureau de Recherches Géologiques et Minières (BRGM) and was last updated on March 27, 2019. It includes status attributes such as issued, expired, refused, and built.
Individual wind turbines described as point features in the Channel region. The data includes turbines subject to a building permit and an administrative procedure instructed by the DDE(A). A link is established with the layer of wind development areas (ZDEs). The dataset was last updated in April 2019.
Vendée, France, demarcates very clayey marsh soils based on maps annexed to Prefectoral Order No 10-DDTM-864 of 20 December 2010. This data complements Annex 8 of the same order regarding the management of cover crops during leaching periods. The dataset was last updated on 2019-04-02.
BUREAU DE RECHERCHES GÉOLOGIQUES ET MINIÈRES provides a set of GIS data and PDF documents for the Soil Occupancy Plan (POS) of Rochefort-en-Valdaine, France. The dataset includes the original plan approved on 19/11/2001 and Amendment No. 1 approved on 21/09/2010, with validity ending 31/12/2015. The data was last updated on the platform on 26/03/2019.
BUREAU DE RECHERCHES GÉOLOGIQUES ET MINIÈRES provides a set of GIS data and PDF documents for the Anneyron Soil Occupancy Plan (POS 26010). The dataset includes the original plan approved on 04/10/2001 and Amendment No. 1 approved on 17/12/2009. The last known update to the platform metadata was on 2019-03-26.
From 2011 to 2018, soil chemical parameters and microbiological data were collected from biopiles and a control plot at Casey Station, Antarctica, for petroleum hydrocarbon remediation. Soil samples were analyzed for pH, electrical conductivity, ammonia, nitrite, nitrate, phosphate, and hydrocarbons by the Australian Antarctic Division and accredited commercial laboratories. The dataset likely contains measurements of Total Recoverable Hydrocarbons (TRH) and inorganic nutrients.
A 1994-1999 monitoring campaign documented morphological soil properties for genetic horizons down to parent material across heterogeneous plots in Swiss forests. The dataset was collected by the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) and ETH Zurich. Results and a detailed manual are available in German via the provided links.
A 1994-1999 survey assessed chemical soil parameters across genetic horizons and fixed layers in Swiss forest plots. The dataset likely contains measurements from soil pits and pooled samples from Intensive-Monitoring-Plots, collected by the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). A second survey is planned approximately 15 years later.
2019 physicochemical measurements of glacier foreland soils from Barton and Weaver Peninsula on King George Island. The dataset includes pH, electrical conductivity (EC), total carbon (TC), total inorganic carbon (TIC), total nitrogen (TN), and soil texture data. It was collected by AMD_KOPRI and published via NASA EarthData.
Ardley Island and King George Island soil samples collected in 2019. The dataset contains physicochemical measurements including pH, electrical conductivity, total carbon, soil organic carbon, total inorganic carbon, total nitrogen, and soil texture. It was provided by AMD_KOPRI via NASA EarthData.
Continuous soil water content measurements are recorded at 15, 50, and 80 cm depths using ECH2O EC-5 probes. The dataset is provided by ENVIDAT for calibrating and validating water cycle models. It was last updated in 2019.