Search results for "computer.software_genre"

showing 10 items of 3858 documents

Soil moisture modelling of a SMOS pixel: interest of using the PERSIANN database over the Valencia Anchor Station

2010

In the framework of Soil Moisture and Ocean Salinity (SMOS) Calibration/Validation (Cal/Val) activities, this study addresses the use of the PERSIANN-CCS<sup>1</sup>database in hydrological applications to accurately simulate a whole SMOS pixel by representing the spatial and temporal heterogeneity of the soil moisture fields over a wide area (50×50 km<sup>2</sup>). The study focuses on the Valencia Anchor Station (VAS) experimental site, in Spain, which is one of the main SMOS Cal/Val sites in Europe. <br><br> A faithful representation of the soil moisture distribution at SMOS pixel scale (50×50 km<sup>2</sup>) requires an accurate estimation…

010504 meteorology & atmospheric sciences[SDE.MCG]Environmental Sciences/Global Changessatellite0207 environmental engineeringContext (language use)02 engineering and technologysystemcomputer.software_genrerainfall estimation01 natural scienceslcsh:Technologylcsh:TD1-1066Precipitation[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrologylcsh:Environmental technology. Sanitary engineering020701 environmental engineeringWater contentprecipitation estimationretrievallcsh:Environmental sciences0105 earth and related environmental sciencesRemote sensinglcsh:GE1-350DatabaseRain gaugeMoisturelcsh:Tlcsh:Geography. Anthropology. RecreationLife Sciencesneural-network15. Life on landparameterizationokavango riverproductsafricalcsh:G13. Climate actionSoil waterPERSIANNEnvironmental scienceSpatial variabilitycomputerHydrology and Earth System Sciences
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Global-Scale Evaluation of Roughness Effects on C-Band AMSR-E Observations

2015

Quantifying roughness effects on ground surface emissivity is an important step in obtaining high-quality soil moisture products from large-scale passive microwave sensors. In this study, we used a semi-empirical method to evaluate roughness effects (parameterized here by the parameter) on a global scale from AMSR-E (Advanced Microwave Scanning Radiometer for EOS) observations. AMSR-E brightness temperatures at 6.9 GHz obtained from January 2009 to September 2011, together with estimations of soil moisture from the SMOS (Soil Moisture and Ocean Salinity) L3 products and of soil temperature from ECMWF’s (European Centre for Medium-range Weather Forecasting) were used as inputs in a retrieval…

010504 meteorology & atmospheric sciencestélédétectionScience0211 other engineering and technologiesWeather forecasting[SDU.STU]Sciences of the Universe [physics]/Earth SciencesElectromagnétismesoil surface roughness02 engineering and technologySurface finishcomputer.software_genredonnée satellite01 natural sciencesSciences de la TerreNormalized Difference Vegetation Indexsoil moisture;soil surface roughness;AMSR-EElectromagnetismEmissivitySurface roughnessTraitement du signal et de l'image14. Life underwaterWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRadiometercapteur smosQSignal and Image processingradiométrie microondesVegetationAMSR-E15. Life on land[SPI.ELEC]Engineering Sciences [physics]/ElectromagnetismEarth SciencesGeneral Earth and Planetary SciencesEnvironmental sciencesoil moisturecomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingRemote 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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Entorno 3D para el análisis y la recreación virtual de las actuaciones arqueológicas en Cueva de la Cocina (Dos Aguas, Valencia, España)

2017

Con este trabajo pretendemos presentar nuestro procedimiento de digitalización de información de campo (gestión de datos) y su imbricación en la reconstrucción estratigráfica virtual (virtualización) de la Cueva de la Cocina (Dos Aguas, Valencia, España). La herramienta principal para la implementación del Sistema de Información Geográfica (SIG) ha sido OpenJUMP, mientras que para la recreación tridimensional (3D) del entorno virtual de la cueva se han utilizado MeshLab, ParaView, CloudCompare y R. De acuerdo con los datos recuperados durante las excavaciones de los últimos años en la cueva -2015 y 2016-, se presenta el estado actual de la virtualización de la estratigrafía en los sectores …

010506 paleontologyArcheologyGeographic information systemherramientas GISData managementGeomaticsConservationcomputer.software_genreExcavacions arqueològiques01 natural sciencesCave0601 history and archaeologylcsh:CC1-960Stratigraphy (archaeology)Mesolithic0105 earth and related environmental sciencesEntorno 3Dlcsh:AM1-501lcsh:Museums. Collectors and collectinggeography.geographical_feature_category060102 archaeologybusiness.industryMesolíticoexcavación arqueológica06 humanities and the artsArchaeologyField (geography)Computer Science ApplicationsGeographyVirtual machineNeolíticoCueva de la Cocinalcsh:ArchaeologybusinesscomputerVirtual Archaeology Review
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Geomeasure: GIS and Scripting for Measuring Morphometric Variability

2019

This paper presents Geomeasure, a methodological tool developed to recover typometric information with a twofold objective. First, to speed up the process of gathering data by automatizing the way in which it is recovered. Second, it adds higher accuracy and the possibility of re-measuring archeological items without further directly interacting with the piece. Based on a combination of R scripting with GIS features, Geomeasure is at the time able to automatically gather 125–130 typometric variables per archaeological item, with the only input of vectorized photographs. It can be used as a reliable methodological aid to extract detailed information on patterns and trends of shape variabilit…

010506 paleontologyArcheologySpeedup060102 archaeologyComputer scienceProcess (computing)R Programming LanguageSample (statistics)06 humanities and the artscomputer.software_genre01 natural sciencesPerformance resultsScripting languageAnthropology0601 history and archaeologyData miningcomputer0105 earth and related environmental sciencesLithic Technology
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The SISAL database: a global resource to document oxygen and carbon isotope records from speleothems

2018

Stable isotope records from speleothems provide information on past climate changes, most particularly information that can be used to reconstruct past changes in precipitation and atmospheric circulation. These records are increasingly being used to provide “out-of-sample” evaluations of isotope-enabled climate models. SISAL (Speleothem Isotope Synthesis and Analysis) is an international working group of the Past Global Changes (PAGES) project. The working group aims to provide a comprehensive compilation of speleothem isotope records for climate reconstruction and model evaluation. The SISAL database contains data for individual speleothems, grouped by cave system. Stable isotopes of oxyg…

010506 paleontologyClimate Research010504 meteorology & atmospheric sciencesClimate changeSpeleothemF800010502 geochemistry & geophysicscomputer.software_genre01 natural sciencesKlimatforskningCavePaleoclimatologylcsh:Environmental sciences0105 earth and related environmental scienceslcsh:GE1-350geographygeography.geographical_feature_categoryDatabaseStable isotope ratiospeleothemsPALEOCLIMATOLOGIAlcsh:QE1-996.5lcsh:GeologyMetadata13. Climate actionGeneral Earth and Planetary SciencesEnvironmental scienceClimate modelcomputerChronologyEarth System Science Data
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Rereading a tree-ring database to illustrate depositional histories of subfossil trees

2017

Late Quaternary tree-ring chronologies have been constructed using data collected from subfossil trees preserved under favourable conditions in lake sediments and peat deposits. Tree-ring widths and densities are commonly used for reconstructions of past climate variability. An alternative way of using these data is to explore the replication curves of these chronologies. Here, we make use of previously collected data that is currently available from tree-ring databases to demonstrate the depositional histories of pine trees once accumulated into the sediment in lake (i.e., riparian trees) and peatland sites. Divergent courses of depositional histories were obtained for different sedimentar…

010506 paleontologyPeattaphonomic gain010504 meteorology & atmospheric sciencesPopulationpalaeobotanytree-ringOceanographycomputer.software_genre01 natural sciencespalaeohydrologySedimentary depositional environmentPaleoclimatologyDendrochronologyeducation0105 earth and related environmental sciencesRiparian zoneeducation.field_of_studygeographygeography.geographical_feature_categorySubfossilDatabasepalaeoecologypaleoklimatologiaQuaternarycomputerGeology
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Stage boundaries, global stratigraphy, and the time scale: towards a simplification

2004

International audience; This paper examines four facets of stratigraphic terminology and usage considered faulty and proposes corrective measures. The four perfectible areas are: (1) The system of dual nomenclature requiring discrete terminologies for the superpositional and temporal aspects of rock units. (2) The premise that a GSSP establishes the base of a stage as being coincident with the top of the preceding stage rather than simply defining it as the boundary between stages. (3) The rejection of supplementary (auxiliary) sections that would broaden the knowledge of a GSSP and enlarge the area in which it is easily usable. (4) The current dual system of nomenclature for Precambrian an…

010506 paleontologyPrecambrian-Cambrian boundaryComputer scienceStratigraphyPhanerozoiccomputer.software_genre[ SDU.STU.ST ] Sciences of the Universe [physics]/Earth Sciences/Stratigraphy01 natural sciencesCampanian-Maastrichtian boundaryBoundary (real estate)Terminologylcsh:StratigraphyStage (stratigraphy)Stages010503 geologyStratigraphy (archaeology)lcsh:QE701-7600105 earth and related environmental scienceslcsh:QE640-699GSSPChronostratigraphybusiness.industryScale (chemistry)Plio-Quaternarylcsh:QE1-996.5PaleontologyGeologyTerminologyPlio- QuaternaryCretaceous- Palaeogene boundaryDual (category theory)Global Boundary Stratotype Section and Pointlcsh:GeologyCretaceous-Palaeogene boundarylcsh:Paleontology[SDU.STU.ST]Sciences of the Universe [physics]/Earth Sciences/StratigraphyPremise[SDU.STU.ST] Sciences of the Universe [physics]/Earth Sciences/StratigraphyArtificial intelligencebusinessPrecambriancomputerNatural language processing
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Speleothems from the Middle East: An Example of Water Limited Environments in the SISAL Database

2019

The Middle East (ME) spans the transition between a temperate Mediterranean climate in the Levant to hyper-arid sub-tropical deserts in the southern part of the Arabian Peninsula (AP), with the complex alpine topography in the northeast feeding the Euphrates and Tigris rivers which support life in the Southeastern Fertile Crescent (FC). Climate projections predict severe drying in several parts of the ME in response to global warming, making it important to understand the controls of hydro-climate perturbations in the region. Here we discuss 23 ME speleothem stable oxygen isotope (δ18Occ) records from 16 sites from the SISAL_v1 database (Speleothem Isotope Synthesis and Analysis database), …

010506 paleontologygeology010504 meteorology & atmospheric sciencesPleistoceneδ18OCaveSpeleothemlcsh:GN281-289Palaeoclimatecomputer.software_genre01 natural sciencesMiddle Eastlcsh:StratigraphyIsotopesEarth and Planetary Sciences (miscellaneous)DeglaciationPrecipitationHolocenelcsh:QE640-6990105 earth and related environmental sciencesEarth-Surface Processesgeographygeography.geographical_feature_categoryDatabaseGlobal warmingLast Glacial MaximumSpeleothemlcsh:Human evolutionSISAL databasecomputerGeology
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X!TandemPipeline: a tool to manage sequence redundancy for protein inference and phosphosite identification

2017

X!TandemPipeline is a software designed to perform protein inference and to manage redundancy in the results of phosphosite identification by database search. It provides the minimal list of proteins or phosphosites that are present in a set of samples using grouping algorithms based on the principle of parsimony. Regarding proteins, a two-level classification is performed, where groups gather proteins sharing at least one peptide and subgroups gather proteins that are not distinguishable according to the identified peptides. Regarding phosphosites, an innovative approach based on the concept of phosphoisland is used to gather overlapping phosphopeptides. The graphical interface of X!Tandem…

0106 biological sciences0301 basic medicinePhosphopeptidesProteomicsphosphopeptideComputer sciencecomputer.internet_protocolcomputer.software_genre01 natural sciencesBiochemistrydatabase search03 medical and health sciencesSearch engineUser-Computer InterfaceRedundancy (information theory)SoftwareTandem Mass Spectrometry[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM]HumansDatabase search engineAmino Acid SequenceDatabases ProteinGraphical user interfacemass spectrometrybusiness.industrysoftwareprotein inferenceProteinsGeneral ChemistrybioinformaticsSearch EngineBenchmarking030104 developmental biologyComputingMethodologies_PATTERNRECOGNITIONProtein inferenceData mining[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]businesscomputerXMLAlgorithms010606 plant biology & botany
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