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Particle physics, nuclear physics, condensed matter, plasma physics, optics, acoustics, quantum mechanics
6,347 datasets
Strategic noise maps for type A municipal roads in the Côte d’Or department of France, created for the second deadline (2012-2017) under the European Union's Environmental Noise Directive. The dataset was produced by the Bureau de Recherches Géologiques et Minières (BRGM) and last updated in March 2019. It covers roadways likely exceeding 8,200 vehicles per day, as mandated by the directive and its transposition into French law.
Strategic noise maps for major national roads in the Côte d'Or department of France, created for the second deadline (2012-2017) under the European Union's Environmental Noise Directive. The dataset was produced by the Bureau de Recherches Géologiques et Minières (BRGM) and last updated in March 2019. Maps are required for roadways used by more than 8,200 vehicles per day.
Côte d’Or, France, strategic noise maps for major highways, created under the second deadline (2012-2017) of the European Directive 2002/49/EC. The dataset, produced by the Bureau de Recherches Géologiques et Minières, focuses on roadways used by more than 8200 vehicles per day. It supports the assessment and management of environmental noise as transposed into French law.
The Bureau de Recherches Géologiques et Minières provides a geospatial dataset representing flood hazard zones for the CAC sector in Châlons-en-Champagne, France. The hazard map results from hydraulic modelling conducted in 2003 by Royal Haskoning France, supplemented by data from a 2001 atlas and validated with 2008 rain events. It delineates areas based on water height levels and probability of a centennial flood.
A 2003 hydraulic modelling study by Royal Haskoning France defines flood hazard zones for the upstream area of Châlons-en-Champagne. The dataset, managed by the Bureau de Recherches Géologiques et Minières, represents areas exposed to centennial flood hazards, incorporating results from the 2001 Atlas of the Highest Waters and validated with 2008 rain events. It includes zones protected by structures considered hydraulically transparent and excludes areas where the hazard was studied and found to be nil.
Hazard zoning data for the municipality of Antonne and Trigonnant, representing areas exposed to one or more natural hazards as defined by a French Risk Prevention Plan (PPRI). The dataset was produced by the Bureau de Recherches Géologiques et Minières (BRGM) and was last updated in April 2019. It includes hazard zones identified through a study of hazard intensity and probability, excluding areas of no or insignificant hazard.
A hazard map delineating areas exposed to flooding for the Avre River in the Eure-et-Loir department of France. The dataset was produced by the Bureau de Recherches Géologiques et Minières (BRGM) and represents the result of a hazard study assessing the probability and intensity of dangerous phenomena. It was last updated on April 3, 2019.
Laser dust logging data from a South Pole ice core borehole provides sub-centimeter scale paleoclimate features. The project, supported by AMD_USAPDC, deployed an oriented logger with a magnetic compass to investigate impurity location and ice sheet properties. Data and metadata were made available through repositories like the National Snow and Ice Data Center, with project activity noted in 2019.
Hazard zones for the Upper Aa area represent areas exposed to one or more natural hazards as defined for French Risk Prevention Plans (PPR). The dataset, compiled by the Bureau de Recherches Géologiques et Minières (BRGM), likely contains graduated zoning based on hazard probability and intensity. Last updated in April 2019, it serves as a regulatory tool for land-use planning and risk analysis.
BRGM's 2019 hazard zoning maps delineate coastal cliff areas exposed to natural risks for regulatory planning. The dataset likely contains graduated hazard zones, considering probability and intensity of dangerous phenomena, including areas protected by structures. Hazard zones are compiled from multiple sources of calculated, modelled, or observed hazard data.
NCEI Accession 0162329 contains raw underway meteorological, navigational, optical, physical, and time series data logged by the Scientific Computer System aboard NOAA Ship Bell M. Shimada. The data were collected in the Gulf of Alaska and North Pacific Ocean from March 6 to March 30, 2019, and submitted by Office of Marine and Aviation Operations personnel. The dataset also includes supplementary cruise-level metadata from the Ship Daily Activity Log, archived via the NOAA Rolling Deck to Repository program.
Geospatial data representing areas exposed to road traffic noise at night (Ln) along departmental road RD 950 in Melle, France. The data was produced by the Bureau de Recherches Géologiques et Minières (BRGM) to comply with the European Directive on Strategic Noise Maps. It uses isophone curves in 5 dB(A) steps starting from 50 dB(A) to map the average sound level during the night period (22:00-06:00), which is associated with sleep disruption risk.
BUREAU DE RECHERCHES GÉOLOGIQUES ET MINIÈRES provides data on areas exposed to road traffic noise at night along departmental road 743 from Niort to Parthenay in Deux-Sèvres, France. The data represents noise exposure using isophone curves in 5 dB(A) steps starting from 50 dB(A) for the Ln indicator, which measures average sound levels between 10 PM and 6 AM. This dataset was last updated on April 4, 2019, and is produced in compliance with the European Directive on Strategic Noise Maps.
Deux-Sèvres, France, areas exposed to land transport infrastructure noise at night (Ln). The data represents noise exposure using isophone curves drawn in steps of 5 dB(A) starting at 50 dB(A). It was published by the Bureau de Recherches Géologiques et Minières and last updated on April 4, 2019.
Deux-Sèvres, France, contains geospatial data representing areas exposed to road traffic noise at night (Ln). The dataset was produced by the Bureau de Recherches Géologiques et Minières and last updated on April 4, 2019. It visualizes noise exposure using isophone curves in 5 dB(A) steps starting from 50 dB(A), based on the European Directive on Strategic Noise Maps.
Isophone curves map areas exposed to night-time road noise levels starting from 50 dB(A) in 5 dB(A) increments. The data represents the Ln noise indicator, which corresponds to the average sound level during the night period (22h-6h) and is associated with sleep disruption risk. It was produced by the Bureau de Recherches Géologiques et Minières (BRGM) to comply with the European Directive on Strategic Noise Maps.
Areas exposed to road traffic noise at night (Ln) for Helensburgh Boulevard in Thouars, France, represented by isophone curves in 5 dB(A) steps from 50 dB(A). The data is produced by the Bureau de Recherches Géologiques et Minières (BRGM) to comply with the European Directive on Strategic Noise Maps, last updated in April 2019. The Ln indicator isolates the night period (22h-6h) and is associated with the risk of sleep disruption.
A 2019 snapshot of assets and populations considered at risk during the development of Flood Risk Prevention Plans (PPR) in the Seine-et-Marne department of France. The dataset, created by the Bureau de Recherches Géologiques et Minières, represents a dated, non-exhaustive inventory of people, property, activities, and environmental heritage vulnerable to flooding. This data is not updated after plan approval and is recalculated as needed with newer sources.
Raw underway meteorological, navigational, optical, and physical time series data logged aboard the NOAA Ship Ronald H. Brown. The data was collected in the North Atlantic Ocean from March 1 to March 29, 2019, and submitted to the National Centers for Environmental Information (NCEI) by Office of Marine and Aviation Operations personnel as part of the NOAA Rolling Deck to Repository program.
The Titanoble Site PPRT was approved on June 29, 2012. This dataset from the Bureau de Recherches Géologiques et Minières (BRGM) defines areas exposed to one or more hazards for risk analysis, based on a hazard map that synthesizes calculated, modeled, or observed data. The geographic layer is not disseminated for security reasons, and the dataset was last updated on March 29, 2019.