Search results for "DATA"

showing 10 items of 12992 documents

Progress on bringing together raptor collections in Europe for contaminant research and monitoring in relation to chemicals regulation.

2019

Paola Movalli et al.

010504 meteorology & atmospheric sciences[SDV]Life Sciences [q-bio]Health Toxicology and MutagenesisSettore BIO/05 - Zoologia010501 environmental sciencesnatural history museum01 natural sciencesEnvironmental monitoringcollectionComputingMilieux_MISCELLANEOUSchemicals regulationenvironmental specimen bankEcologyPublished ErratumEnvironmental resource managementEnvironmental exposureGeneral MedicinePollutionEuropeChemistryGeographySpecimen collectionraptor[SDV.TOX]Life Sciences [q-bio]/Toxicology1181 Ecology evolutionary biologyEnvironmental PollutantscontaminantEnvironmental MonitoringResource (biology)Relation (database)MEDLINEchemicals managementChemical managementEnvironmental ChemistryEcotoxicologyAnimalscollectionsBiologyEnvironmental planning0105 earth and related environmental sciencesRaptorsbusiness.industryapex predator[SDE.ES]Environmental Sciences/Environmental and SocietymonitoringbiomonitoringSpecimen HandlingREACH[SDE.BE]Environmental Sciences/Biodiversity and EcologyEnvironmental specimenbusinessEnvironmental science and pollution research international
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Personal Exposure to Ultrafine Particles According to Different Environments and Modes of Transport in Schoolchildren: Results from a Spanish Cohort …

2017

Background Combustion, especially in diesel engines, emits a complex mixture of gases and particles that could be harmful for the respiratory and cardiovascular systems. Daily personal exposure to the smallest particulate matter (less than 0.1 µm and usually called nanoparticles or ultrafine particles – UFP) has been studied to a lesser extent compared to coarser particles. In this study we aim to assess personal exposure to UFP in different environments and transport modes among schoolchildren from a Spanish birth-cohort in the province of Valencia. Methods The study population consisted of 114 children aged 10-11 years. For each of them, personal exposure to UFP was measured continuously …

010504 meteorology & atmospheric sciencesbusiness.industryCold seasonHealth PolicyPublic Health Environmental and Occupational HealthTransportation010501 environmental sciences01 natural sciencesPollutionExposure levelEnvironmental healthUltrafine particleCohortMedicineSafety Risk Reliability and QualitybusinessSafety ResearchExposure dataSimulation0105 earth and related environmental sciencesJournal of Transport & Health
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Predicting year of plantation with hyperspectral and lidar data

2017

This paper introduces a methodology for predicting the year of plantation (YOP) from remote sensing data. The application has important implications in forestry management and inventorying. We exploit hyperspectral and LiDAR data in combination with state-of-the-art machine learning classifiers. In particular, we present a complete processing chain to extract spectral, textural and morphological features from both sensory data. Features are then combined and fed a Gaussian Process Classifier (GPC) trained to predict YOP in a forest area in North Carolina (US). The GPC algorithm provides accurate YOP estimates, reports spatially explicit maps and associated confidence maps, and provides sens…

010504 meteorology & atmospheric sciencesbusiness.industryComputer scienceForest managementFeature extraction0211 other engineering and technologiesHyperspectral imagingPattern recognition02 engineering and technologyVegetation15. Life on land01 natural sciencessymbols.namesakeLidarsymbolsLidar dataArtificial intelligencebusinessClassifier (UML)Gaussian process021101 geological & geomatics engineering0105 earth and related environmental sciences2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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Models and data analysis tools for the Solar Orbiter mission

2020

All authors: Rouillard, A. P.; Pinto, R. F.; Vourlidas, A.; De Groof, A.; Thompson, W. T.; Bemporad, A.; Dolei, S.; Indurain, M.; Buchlin, E.; Sasso, C.; Spadaro, D.; Dalmasse, K.; Hirzberger, J.; Zouganelis, I.; Strugarek, A.; Brun, A. S.; Alexandre, M.; Berghmans, D.; Raouafi, N. E.; Wiegelmann, T.; Pagano, P.; Arge, C. N.; Nieves-Chinchilla, T.; Lavarra, M.; Poirier, N.; Amari, T.; Aran, A.; Andretta, V.; Antonucci, E.; Anastasiadis, A.; Auchère, F.; Bellot Rubio, L.; Nicula, B.; Bonnin, X.; Bouchemit, M.; Budnik, E.; Caminade, S.; Cecconi, B.; Carlyle, J.; Cernuda, I.; Davila, J. M.; Etesi, L.; Espinosa Lara, F.; Fedorov, A.; Fineschi, S.; Fludra, A.; Génot, V.; Georgoulis, M. K.; Gilbe…

010504 meteorology & atmospheric sciencescorona [Sun]Solar windAstrophysics[SDU.ASTR] Sciences of the Universe [physics]/Astrophysics [astro-ph]7. Clean energy01 natural scienceslaw.inventionData acquisitionlawCoronal mass ejectiongeneral [Sun]QB AstronomyAstrophysics::Solar and Stellar Astrophysics010303 astronomy & astrophysicsSun: magnetic fieldsQCComputingMilieux_MISCELLANEOUSQBPhysics[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]3rd-DASenergetic particlesSolar windCORONAL MASS EJECTIONSnumerical modelingmagnetic fields [Sun]solar windPhysics::Space PhysicsSystems engineeringAstrophysics::Earth and Planetary Astrophysicsatmosphere [Sun]fundamental parameters [Sun]Sun: generalFORCE-FREE FIELDSun: fundamental parametersSolar radiusContext (language use)STREAMER STRUCTUREOrbiter0103 physical sciencesOPTIMIZATION APPROACH[SDU.ASTR.SR] Sciences of the Universe [physics]/Astrophysics [astro-ph]/Solar and Stellar Astrophysics [astro-ph.SR]POLARIZATION MEASUREMENTSSun: Solar wind3-DIMENSIONAL STRUCTURE0105 earth and related environmental sciencesSpacecraftbusiness.industrySun: corona[SDU.ASTR.SR]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Solar and Stellar Astrophysics [astro-ph.SR]solar coronaMAGNETIC-FLUX ROPESAstronomy and AstrophysicsSHOCKS DRIVEN115 Astronomy Space scienceSPECTRAL-LINESQC Physics13. Climate actionSpace and Planetary SciencebusinessHeliosphereSun: atmosphereELECTRON-DENSITY
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GRB 050904 at redshift 6.3: observations of the oldest cosmic explosion after the Big Bang

2005

We present optical and near-infrared observations of the afterglow of the gamma-ray burst GRB 050904. We derive a photometric redshift z = 6.3, estimated from the presence of the Lyman break falling between the I and J filters. This is by far the most distant GRB known to date. Its isotropic-equivalent energy is 3.4x10^53 erg in the rest-frame 110-1100 keV energy band. Despite the high redshift, both the prompt and the afterglow emission are not peculiar with respect to other GRBs. We find a break in the J-band light curve at t_b = 2.6 +- 1.0 d (observer frame). If we assume this is the jet break, we derive a beaming-corrected energy E_gamma = (4-12)x10^51 erg. This limit shows that GRB 050…

010504 meteorology & atmospheric sciencesgamma rays: burstsAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsJet (particle physics)Astrophysics01 natural sciences[PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]gamma rays: individual: GRB 0509040103 physical sciences010303 astronomy & astrophysics0105 earth and related environmental sciencesPhotometric redshiftPhysicsCOSMIC cancer database[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]Star formationAstrophysics (astro-ph)Astronomy and Astrophysicsearly UniverseLight curveRedshiftAfterglowSpace and Planetary Sciencecosmology: observationsGamma-ray burst
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Land set-up systems in Italy: A long tradition of soil and water conservation sewed up to a variety of pedo-climatic environments

2020

Land set-up systems in Italy were and, in a few cases, still are integral parts of agricultural landscapes. The soils of Italy mirror a wide variety of climates and morphologies and derive from a great diversity of parent materials influenced by different soil temperature and moisture regimes. Furthermore, their development was influenced by several anthropogenic activities over time including land settings. Land set-up systems have been widely used throughout the Italian soilscape to regulate surface and underground water and to improve the physical soil features in a way that ensures mixed herbaceous and tree-crops cultivation. In recent times, new technologies have been introduced in agr…

010504 meteorology & atmospheric scienceslcsh:SLand set-up systemssoil conservation04 agricultural and veterinary scienceslcsh:Plant culture01 natural sciencesVariety (cybernetics)Set (abstract data type)lcsh:AgricultureItalian cultural landscapes.Settore AGR/14 - Pedologiasoilscapes040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental sciencelcsh:SB1-1110Soil conservationWater resource managementAgronomy and Crop ScienceItalian cultural landscapes land set-up systems soil conservation soilscapes0105 earth and related environmental sciences
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Global Sensitivity Analysis of Leaf-Canopy-Atmosphere RTMs: Implications for Biophysical Variables Retrieval from Top-of-Atmosphere Radiance Data.

2019

Knowledge of key variables driving the top of the atmosphere (TOA) radiance over a vegetated surface is an important step to derive biophysical variables from TOA radiance data, e.g., as observed by an optical satellite. Coupled leaf-canopy-atmosphere Radiative Transfer Models (RTMs) allow linking vegetation variables directly to the at-sensor TOA radiance measured. Global Sensitivity Analysis (GSA) of RTMs enables the computation of the total contribution of each input variable to the output variance. We determined the impacts of the leaf-canopy-atmosphere variables into TOA radiance using the GSA to gain insights into retrievable variables. The leaf and canopy RTM PROSAIL was coupled with…

010504 meteorology & atmospheric sciencesradiative transfer models0211 other engineering and technologiesemulation02 engineering and technologytop-of-atmosphere radiance data01 natural sciencesEmulation; Global sensitivity analysis; Machine learning; MODTRAN; PROSAIL; Radiative transfer models; Retrieval; Sentinel-2; Top-of-atmosphere radiance dataKrigingRange (statistics)Radiative transferLeaf area indexlcsh:Scienceretrieval021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingMODTRANPROSAILMODTRANAtmospheric correctionradiative transfer models; global sensitivity analysis; emulation; machine learning; top-of-atmosphere radiance data; PROSAIL; MODTRAN; retrieval; Sentinel-2machine learningglobal sensitivity analysisLookup tableRadianceGeneral Earth and Planetary SciencesEnvironmental sciencelcsh:QSentinel-2Remote sensing
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2021

Abstract. The collection of modern, spatially extensive pollen data is important for the interpretation of fossil pollen assemblages and the reconstruction of past vegetation communities in space and time. Modern datasets are readily available for percentage data but lacking for pollen accumulation rates (PARs). Filling this gap has been the motivation of the pollen monitoring network, whose contributors monitored pollen deposition in modified Tauber traps for several years or decades across Europe. Here we present this monitoring dataset consisting of 351 trap locations with a total of 2742 annual samples covering the period from 1981 to 2017. This dataset shows that total PAR is influence…

010506 paleontology010504 meteorology & atmospheric sciencesDatabaseVegetation15. Life on landmedicine.disease_causecomputer.software_genre01 natural sciencesLatitudeGeographyProductivity (ecology)PollenmedicineTemperate climatePaleoecologyPeriod (geology)computerEcology Evolution Behavior and SystematicsHolocene0105 earth and related environmental sciencesEarth-Surface ProcessesBiogeosciences
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Large-scale, millennial-length temperature reconstructions from tree-rings

2018

Supported by the German Science Foundation, grants # Inst 247/665-1 FUGG and ES 161/9-1. SSG acknowledges support by the Alexander von Humboldt Foundation, KJA by US National Science Foundation grants AGS-1501856 and NSF AGS-1501834, and JL and LS by the Belmont Forum and JPI-Climate, Collaborative Research Action INTEGRATE. Over the past two decades, the dendroclimate community has produced various annually resolved, warm season temperature reconstructions for the extratropical Northern Hemisphere. Here we compare these tree-ring based reconstructions back to 831 CE and present a set of basic metrics to provide guidance for non-specialists on their interpretation and use. We specifically d…

010506 paleontology010504 meteorology & atmospheric sciencesNDASPlant ScienceWarm season01 natural sciencesG1Extratropical cycloneddc:550Little ice ageBeneficial effectsWarm season temperatures0105 earth and related environmental sciencesNorthern Hemisphereddc:333.7-333.9EcologyNorthern HemisphereG Geography (General)Medieval Warm PeriodCovarianceTree-ring widthMaximum latewood densityTree (data structure)ClimatologyLittle Ice AgeScale (map)Geology
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Orbital forcing of tree-ring data

2012

Based on an analysis of maximum latewood density data from northern Scandinavia, along with published dendrochronological records, this study finds evidence that previous tree-ring-reliant reconstructions of large-scale near-surface air temperature underestimated long-term pre-industrial warmth during Medieval and Roman times. Solar insolation changes, resulting from long-term oscillations of orbital configurations1, are an important driver of Holocene climate2,3. The forcing is substantial over the past 2,000 years, up to four times as large as the 1.6 W m−2 net anthropogenic forcing since 1750 (ref. 4), but the trend varies considerably over time, space and with season5. Using numerous hi…

010506 paleontology010504 meteorology & atmospheric sciencesOrbital forcingGlobal changeEnvironmental Science (miscellaneous)01 natural sciencesLatitudeCarbon cycleBorealArctic13. Climate actionClimatologyTree ring dataSocial Sciences (miscellaneous)GeologyHolocene0105 earth and related environmental sciencesNature Climate Change
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