Search results for "BASE DE DONNEES"

showing 4 items of 4 documents

Database of diazotrophs in global ocean: abundance, biomass and nitrogen fixation rates

2012

Marine N<sub>2</sub> fixing microorganisms, termed diazotrophs, are a key functional group in marine pelagic ecosystems. The biological fixation of dinitrogen (N<sub>2</sub>) to bioavailable nitrogen provides an important new source of nitrogen for pelagic marine ecosystems and influences primary productivity and organic matter export to the deep ocean. As one of a series of efforts to collect biomass and rates specific to different phytoplankton functional groups, we have constructed a database on diazotrophic organisms in the global pelagic upper ocean by compiling about 12 000 direct field measurements of cyanobacterial diazotroph abundances (based on microscopic …

0106 biological sciencesBiogeochemical cyclePHYTOPLANCTON010504 meteorology & atmospheric sciencesPRODUCTION PRIMAIREFONCTIONNEMENT DE L'ECOSYSTEMEBiologycomputer.software_genre01 natural sciencesDeep seaABONDANCEAbundance (ecology)PhytoplanktonEcosystem14. Life underwaterlcsh:Environmental sciences0105 earth and related environmental scienceslcsh:GE1-350Biomass (ecology)BIOMASSEDatabase010604 marine biology & hydrobiologyFIXATION BIOLOGIQUE DE L'AZOTElcsh:QE1-996.5MICROORGANISMEPelagic zoneBASE DE DONNEESlcsh:GeologyOceanography13. Climate action[SDU]Sciences of the Universe [physics]MILIEU MARINNitrogen fixationGeneral Earth and Planetary Sciencescomputer
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Types of climates on continental France, a spatial construction

2010

Le climat est un élément important de la vie des territoires car il conditionne le comportement et les décisions des individus et des groupes sociaux comme celui de l’ensemble des espèces vivantes et des écosystèmes. A ce titre, la différenciation de l’espace selon les climats et les aptitudes qui en résultent est un domaine qui mérite d’être réinvesti par la recherche en mettant à profit des moyens de traitement modernes de l’information. Avec cet objectif en vue, les auteurs proposent une approche spatiale de définition des climats. Partant des mesures stationnelles de précipitation et de température mises à disposition par Météo-France, un jeu de 14 variables intégrant une série temporel…

ON LINE DATA BASEterritoirebase de données en ligneonline data baseclimatCLIMATE TYPOLOGYBASE DE DONNEES EN LIGNECLIMATOLOGIE SPATIALE[INFO.INFO-CE]Computer Science [cs]/Computational Engineering Finance and Science [cs.CE]lcsh:G1-922QUANTITATIVE APPROACHCARTOGRAPHYclimate typologyapproche quantitativeTYPOLOGIE DES CLIMATSAPPROCHE QUANTITATIVEtypologie des climatscartographieCARTOGRAPHIE;TYPOLOGIE DES CLIMATS;BASE DE DONNEES EN LIGNE;APPROCHE QUANTITATIVE ;QUANTITATIVE APPROACH;ON LINE DATA BASE;CLIMATE TYPOLOGY;CARTOGRAPHY;CLIMATOLOGIE SPATIALE cartographylcsh:Geography (General)Social Sciences (miscellaneous)CARTOGRAPHIEquantitative geography
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Apport de matières organiques exogènes en agriculture: indicateur de potentialité de stockage de carbone dans les sols et définition de classes de di…

2007

CT3; absent

P33 - Chimie et physique du solCarboneAzote[SDV]Life Sciences [q-bio]Stockagehttp://aims.fao.org/aos/agrovoc/c_5192Fertilisationhttp://aims.fao.org/aos/agrovoc/c_5268http://aims.fao.org/aos/agrovoc/c_7427Matière organiquehttp://aims.fao.org/aos/agrovoc/c_2810AGRONOMIEEngraishttp://aims.fao.org/aos/agrovoc/c_1301disponibilité d'élément nutritifhttp://aims.fao.org/aos/agrovoc/c_5387http://aims.fao.org/aos/agrovoc/c_10795DéchetSolSTOCKAGE DE CARBONE[ SDV ] Life Sciences [q-bio]P35 - Fertilité du solhttp://aims.fao.org/aos/agrovoc/c_2867CompostBASE DE DONNEESLisierClassificationFumierPHYSIQUE[SDV] Life Sciences [q-bio]http://aims.fao.org/aos/agrovoc/c_8307http://aims.fao.org/aos/agrovoc/c_1795http://aims.fao.org/aos/agrovoc/c_1653CHIMIE ORGANIQUEhttp://aims.fao.org/aos/agrovoc/c_7156http://aims.fao.org/aos/agrovoc/c_16602F04 - Fertilisation
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Healthcare trajectory mining by combining multidimensional component and itemsets

2012

Sequential pattern mining is aimed at extracting correlations among temporal data. Many different methods were proposed to either enumerate sequences of set valued data (i.e., itemsets) or sequences containing multidimensional items. However, in real-world scenarios, data sequences are described as events of both multidimensional items and set valued information. These rich heterogeneous descriptions cannot be exploited by traditional approaches. For example, in healthcare domain, hospitalizations are defined as sequences of multi-dimensional attributes (e.g. Hospital or Diagnosis) associated with two sets, set of medical procedures (e.g. $ \lbrace $ Radiography, Appendectomy $\rbrace$) and…

Sequential PatternsComputer scienceDONNEE MEDICALE02 engineering and technologyReusecomputer.software_genreSynthetic dataDomain (software engineering)DATA MININGSet (abstract data type)Multi-dimensional Sequential Patterns020204 information systemsComponent (UML)SANTE0202 electrical engineering electronic engineering information engineeringPoint (geometry)SEQUENTIAL PATTERNMULTI DIMENSIONAL SEQUENTIAL PATTERNANALYSE DE DONNEES[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]BASE DE DONNEESTemporal databaseINFORMATIQUEScalabilityTRAJECTOIRE[SDE]Environmental Sciences020201 artificial intelligence & image processingData miningFOUILLEcomputer
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