Search results for "Data"

showing 10 items of 12992 documents

The Bias of combining variables on fish's aggressive behavior studies.

2019

Made available in DSpace on 2019-10-06T16:27:42Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-07-01 Quantifying animal aggressive behavior by behavioral units, either displays or attacks, is a common practice in animal behavior studies. However, this practice can generate a bias in data analysis, especially when the variables have different temporal patterns. This study aims to use Bayesian Hierarchical Linear Models (B-HLMs) to analyze the feasibility of pooling the aggressive behavior variables of four cichlids species. Additionally, this paper discusses the feasibility of combining variables by examining the usage of different sample sizes and family distributions to aggressive …

0106 biological sciencesBayesian probabilityPosterior probabilityBayesian analysisPoisson distribution010603 evolutionary biology01 natural sciencesBehavioral Neurosciencesymbols.namesakeBiasPrior probabilityStatisticsAnimals0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyPterophyllum scalareMathematicsProbabilitybiologyBehavior Animal05 social sciencesMultilevel modelBayes TheoremGeneral MedicineCichlidsbiology.organism_classificationAggressive behaviourMarkov ChainsAggressionVariable (computer science)Sample size determinationData Interpretation StatisticalsymbolsAnimal Science and ZoologyPooled dataMonte Carlo MethodBehavioural processes
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Red Listing plants under full national responsibility: Extinction risk and threats in the vascular flora endemic to Italy

2018

Abstract Taxa endemic to a country are key elements for setting national conservation priorities and for driving conservation strategies, since their persistence is entirely dependent on national policy. We applied the IUCN Red List categories to all Italian endemic vascular plants (1340 taxa) to assess their current risk of extinction and to highlight their major threats. Our results revealed that six taxa are already extinct and that 22.4% (300 taxa) are threatened with extinction, while 18.4% (247; especially belonging to apomictic groups) have been categorized as Data Deficient. Italian endemic vascular plants are primarily threatened by natural habitat modification due to agriculture, …

0106 biological sciencesBehavior and SystematicBiodiversity conservation; Endemic rich areas; Endemic taxa; IUCN Red Lists; Mediterranean Basin; Species richness; Taxonomic knowledgeFloraSpecies richneEndemic taxaEvolutionBiodiversity conservation Endemic rich areas Endemic taxa IUCN Red Lists Mediterranean Basin Species richness Taxonomic knowledgeBiodiversity conservation010603 evolutionary biology01 natural sciencesTaxonomic knowledgeBiodiversity conservation; Endemic rich areas; Endemic taxa; IUCN Red Lists; Mediterranean Basin; Species richness; Taxonomic knowledge; Plant Ecology; Nature and Landscape ConservationIUCN Red ListEndemic rich areasEcology Evolution Behavior and SystematicsIUCN Red ListsNature and Landscape ConservationData deficientExtinctionEndemic rich areaEcologyEcology010604 marine biology & hydrobiologyPlant EcologyIUCN Red ListEcology Evolution Behavior and SystematicBiodiversity hotspotHabitat destructionGeographyThreatened speciesMediterranean BasinProtected areaSpecies richness
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East Weddell Sea echinoids from the JR275 expedition

2015

1 pages; International audience; Information regarding the echinoids in this dataset is based on the Agassiz Trawl (AGT) and epibenthic sledge (EBS) samples collected during the British Antarctic Survey cruise JR275 on the RRS James Clark Ross in the austral summer 2012. A total of 56 (1 at the South Orkneys and 55 in the Eastern Weddell Sea) Agassiz Trawl and 18 (2 at the South Orkneys and 16 in the Eastern Weddell Sea) epibenthic sledge deployments were performed at depths ranging from ~280 to ~2060 m. This presents a unique collection for the Antarctic benthic biodiversity assessment of an important group of benthic invertebrates. In total 487 specimens belonging to six families, 15 gene…

0106 biological sciencesBiodiversity010603 evolutionary biology01 natural scienceslcsh:ZoologySchizasteridae14. Life underwaterlcsh:QL1-991Southern OceanEcology Evolution Behavior and SystematicsInvertebrate[ SDV.BID ] Life Sciences [q-bio]/BiodiversityBiodiversity assessmentbiologyEcology010604 marine biology & hydrobiologyEchinoideaBiodiversitybiology.organism_classificationOceanographyCidaridaeBenthic zoneAnimal Science and ZoologySpecies richnessData PaperSciences exactes et naturelles
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GrassPlot – a database of multi-scale plant diversity in Palaearctic grasslands

2018

GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG) and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). GrassPlot collects plot records (relevés) from grasslands and other open habitats of the Palaearctic biogeographic realm. It focuses on precisely delimited plots of eight standard grain sizes (0.0001; 0.001; ... 1,000 m²) and on nested-plot series with at least four different grain sizes. The usage of GrassPlot is regulated through Bylaws that intend to balance the interests of data contributors and data users. The current version (v. 1.00) contains data for approximately 170,000 plots of different sizes a…

0106 biological sciencesBiodiversityPlant Sciencecomputer.software_genre01 natural sciencesGrasslandSAMPLING-DESIGNRICHNESSEcoinformaticsddc:550biodiversity; European Vegetation Archive (EVA); Eurasian Dry Grassland Group (EDGG); grassland vegetation; GrassPlot; macroecology; multi-taxon; nested plot; scale-dependence; species-area relationship (SAR); sPlot; vegetation-plot databasescale-dependenceMacroecologybiodiversity2. Zero hungerSCALE DEPENDENCEgeography.geographical_feature_categoryDatabaseVegetationspecies-area relationship (SAR)Grasslandnested plotGeographymacroecologyInstitut für GeowissenschaftenEurasian Dry Grassland Group (EDGG)vegetation-plot database.EUROPEGrassPlotbiodiversity ; European Vegetation Archive (EVA) ; Eurasian Dry Grassland Group (EDGG) ; grassland vegetation ; GrassPlot ; macroecology ; multi-taxon ; nested plot scale-dependence ; species-area relationship (SAR) ; sPlot ; vegetation-plot database010603 evolutionary biologyEcoinformaticsmulti-taxon577: ÖkologieMETAANALYSISENVIRONMENTData collectionsPlotgrass- land vegetationDRY GRASSLANDSgrassland vegetationvegetation-plot database15. Life on landbiodiversity • European Vegetation Archive (EVA) • Eurasian Dry Grassland Group (EDGG) • grassland vegetation • GrassPlot • macroecology • multi-taxon • nested plot • scale-dependence • species-area relationship (SAR) • sPlot • vegetation-plot databaseMetadataPATTERNSSPECIES-AREA RELATIONSHIPSNested plot scale-dependenceVEGETATIONSpecies richnesscomputerbiodiversity; European Vegetation Archive (EVA); Eurasian Dry Grassland Group (EDGG); grassland vegetation; GrassPlot; macroecology; multi-taxon; nested plot scale-dependence; species-area relationship (SAR); sPlot; vegetation-plot database.010606 plant biology & botanyEuropean Vegetation Archive (EVA)
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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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Extinction and recolonization of maritime Antarctica in the limpet Nacella concinna (Strebel, 1908) during the last glacial cycle: toward a model of …

2013

Quaternary glaciations in Antarctica drastically modified geographical ranges and population sizes of marine benthic invertebrates and thus affected the amount and distribution of intraspecific genetic variation. Here, we present new genetic information in the Antarctic limpet Nacella concinna, a dominant Antarctic benthic species along shallow ice-free rocky ecosystems. We examined the patterns of genetic diversity and structure in this broadcast spawner along maritime Antarctica and from the peri-Antarctic island of South Georgia. Genetic analyses showed that N. concinna represents a single panmictic unit in maritime Antarctic. Low levels of genetic diversity characterized this population…

0106 biological sciencesBiogeographyClimate ChangePopulationGastropodaMolecular Sequence DataPopulation DynamicsAntarctic RegionsBiologyExtinction Biological010603 evolutionary biology01 natural sciencesDNA Mitochondrial03 medical and health sciencesGeneticsDeglaciationAnimals14. Life underwaterGlacial periodeducationEcology Evolution Behavior and Systematics030304 developmental biology0303 health sciencesGenetic diversityeducation.field_of_studyExtinctionEcologyfungiGenetic VariationBayes TheoremSequence Analysis DNA15. Life on landGenetics PopulationHaplotypesBenthic zoneQuaternarygeographic locationsMolecular ecology
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sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots

2021

Datos disponibles en https://github.com/fmsabatini/sPlotOpen_Code

0106 biological sciencesBiomeBos- en LandschapsecologieBiodiversityDIVERSITYFOREST VEGETATION01 natural sciences//purl.org/becyt/ford/1 [https]http://aims.fao.org/aos/agrovoc/c_915Abundance (ecology)big dataVegetation typePHYTOSOCIOLOGICAL DATABASEparcelleForest and Landscape Ecologyfunctional traitsvascular plantsbig data; biodiversity; biogeography; database; functional traits; macroecology; vascular plants; vegetation plotsbig data ; biodiversity ; biogeography ; database ; functional traits ; macroecology ; vascular plants ; vegetation plotsMacroecologyhttp://aims.fao.org/aos/agrovoc/c_3860databasebiodiversity[SDV.EE]Life Sciences [q-bio]/Ecology environmentGlobal and Planetary ChangeEcologyEcologyhttp://aims.fao.org/aos/agrovoc/c_33949vascular plantVegetationF70 - Taxonomie végétale et phytogéographiePE&RCVegetation plotGeography580: Pflanzen (Botanik)Ecosystems Researchhttp://aims.fao.org/aos/agrovoc/c_25409Diffusion de l'informationmacroecologyPlantenecologie en NatuurbeheerVegetatie Bos- en LandschapsecologieBiodiversitéARCHIVECommunauté végétalehttp://aims.fao.org/aos/agrovoc/c_24420Evolutionhttp://aims.fao.org/aos/agrovoc/c_fdfbb37f[SDE.MCG]Environmental Sciences/Global ChangesBiogéographieGRASSLAND VEGETATIONPlant Ecology and Nature Conservation[SDV.BID]Life Sciences [q-bio]/Biodiversity010603 evolutionary biologyBehavior and SystematicsCouverture végétale577: ÖkologiePLANThttp://aims.fao.org/aos/agrovoc/c_8176//purl.org/becyt/ford/1.6 [https]/dk/atira/pure/core/keywords/biologyfunctional traitBiologyEcology Evolution Behavior and SystematicsVegetatiebiogeographyVegetation010604 marine biology & hydrobiology/dk/atira/pure/core/keywords/559922418Impact sur l'environnementDRY GRASSLANDSPlant community15. Life on landVégétationWETLAND VEGETATIONhttp://aims.fao.org/aos/agrovoc/c_45b5a34avegetation plotsEarth and Environmental SciencesUNIVERSITYPhysical geographyVegetation Forest and Landscape Ecology[SDE.BE]Environmental Sciences/Biodiversity and Ecologydonnées ouverteshttp://aims.fao.org/aos/agrovoc/c_32514Global and Planetary Change
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Characterization of MRNP34, a novel methionine-rich nacre protein from the pearl oysters

2012

9 pages; International audience; Nacre of the Pinctada pearl oyster shells is composed of 98% CaCO(3) and 2% organic matrix. The relationship between the organic matrix and the mechanism of nacre formation currently constitutes the main focus regarding the biomineralization process. In this study, we isolated a new nacre matrix protein in P. margaritifera and P. maxima, we called Pmarg- and Pmax-MRNP34 (methionine-rich nacre protein). MRNP34 is a secreted hydrophobic protein, which is remarkably rich in methionine, and which is specifically localised in mineralizing the epithelium cells of the mantle and in the nacre matrix. The structure of this protein is drastically different from those …

0106 biological sciencesBiomineralizationCalcifying mantleMethionine-richMolecular Sequence DataClinical BiochemistryGene ExpressionBiologyMatrix (biology)engineering.materialProteomics010603 evolutionary biology01 natural sciencesBiochemistryLow complexity03 medical and health sciencesPaleontologychemistry.chemical_compoundCalcification PhysiologicMethionineAnimalsAmino Acid SequencePinctada[SDV.IB.BIO]Life Sciences [q-bio]/Bioengineering/BiomaterialsNacre030304 developmental biology0303 health sciencesMethionineViral matrix proteinOrganic ChemistryProteinsEpithelial Cells[ SDV.IB.BIO ] Life Sciences [q-bio]/Bioengineering/Biomaterialsbiology.organism_classificationProtein Structure TertiarychemistryBiochemistryengineeringMolluscMatrix proteinPearlBiomineralizationPinctada
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EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats

2020

Aim The EUNIS Habitat Classification is a widely used reference framework for European habitat types (habitats), but it lacks formal definitions of individual habitats that would enable their unequivocal identification. Our goal was to develop a tool for assigning vegetation-plot records to the habitats of the EUNIS system, use it to classify a European vegetation-plot database, and compile statistically-derived characteristic species combinations and distribution maps for these habitats. Location Europe. Methods We developed the classification expert system EUNIS-ESy, which contains definitions of individual EUNIS habitats based on their species composition and geographic location. Each ha…

0106 biological sciencesBos- en Landschapsecologiecoastal habitat ; diagnostic species ; distribution map ; dune vegetation European Nature Information System (EUNIS) ; European Vegetation Archive (EVA) ; expert system ; forest ; grassland ; habitat classification ; man-made habitat ; shrubland ; vegetation database ; vegetation plot ; wetlandBiodiversityDistribution (economics)Wetlandcomputer.software_genre01 natural sciencesGrasslandforestman-made habitatForest and Landscape EcologyPlant ecologybiodiversitygeography.geographical_feature_categoryEcologyVegetationPE&RCwetlandEuropeGeographyHabitathabitat classificationVegetatie Bos- en LandschapsecologieEuropaEuropean Nature Information System (EUNIS)Cartographydune vegetationvegetation plotHabitat (Ecology)databasescoastal habitat; diagnostic species; distribution map; dune vegetation; European Nature Information System (EUNIS); European Vegetation Archive (EVA); expert system; forest; grassland; habitat classification; man-made habitat; shrubland; vegetation database; vegetation plot; wetlandHàbitat (Ecologia)Management Monitoring Policy and Law010603 evolutionary biologyShrublanddistribution mapvegetationinvasionsvegetation database14. Life underwatercoastal habitat577: ÖkologieVegetatieNature and Landscape Conservationexpert systemforestsVegetationbusiness.industryEcologia vegetalwetland formalized classificationalien plants15. Life on landExpert systemfidelitydiagnostic speciesexampleVegetation Forest and Landscape Ecologygrassland[SDE.BE]Environmental Sciences/Biodiversity and Ecologybusinessman‐made habitatshrublandcomputer010606 plant biology & botanyEuropean Vegetation Archive (EVA)
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Selection for Robustness in Mutagenized RNA Viruses

2007

Mutational robustness is defined as the constancy of a phenotype in the face of deleterious mutations. Whether robustness can be directly favored by natural selection remains controversial. Theory and in silico experiments predict that, at high mutation rates, slow-replicating genotypes can potentially outcompete faster counterparts if they benefit from a higher robustness. Here, we experimentally validate this hypothesis, dubbed the ‘‘survival of the flattest,’’ using two populations of the vesicular stomatitis RNA virus. Characterization of fitness distributions and genetic variability indicated that one population showed a higher replication rate, whereas the other was more robust to mut…

0106 biological sciencesCancer ResearchMutation ratelcsh:QH426-470In silicoMolecular Sequence DataPopulationBiologyVirus Replication010603 evolutionary biology01 natural sciencesVesicular stomatitis Indiana virusCell Line03 medical and health sciences0302 clinical medicineVirologyCricetinaeGeneticsAnimalsHumansSelection GeneticeducationMolecular BiologyGenetics (clinical)Ecology Evolution Behavior and Systematics030304 developmental biologyGeneticsEvolutionary Biology0303 health scienceseducation.field_of_studyNatural selectionRobustness (evolution)Genetics and GenomicsRNA virusbiology.organism_classification3. Good healthlcsh:GeneticsViral replicationMutagenesisViral evolutionViruses030217 neurology & neurosurgeryResearch ArticleHeLa Cells
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