Search results for "Data file"

showing 10 items of 10 documents

Large-scale gene discovery in the pea aphid Acyrthosiphon pisum (Hemiptera)

2006

A large-scale sequencing analysis of the Hemiptera Acyrthosiphon pisumexpressed sequence tags corresponding to about 12,000 unique transcripts is described, along with an in silico profiling analysis that identifies 135 aphid tissue-specific transcripts.

Aphid SpeciesDNA ComplementaryTranscription GeneticMethodacyrthosiphon pisumAdditional Data FileséquençageAnimals[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyPhylogenyCodon PositionGene LibraryPlant DiseasesExpressed Sequence TagsPopulation DensityBase CompositionBase SequencegènefungiPeasfood and beveragesDNAbiochemical phenomena metabolism and nutrition[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Gene OntologycDNA LibrarypuceronAphids[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]Microsatellite Repeats
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Climate change and the building sector: Modelling and energy implications to an office building in southern Europe

2018

Abstract The building sector is one of the most relevant sectors in terms of generation of wealth and occupation, but it is also one of the main contributor to energy use and greenhouse gas emissions (e.g. at the European level it is currently responsible for 36% of CO2 emissions). For these reason this sector must play a key role in achieving a low-carbon economy consistent with the objective of holding the increase of the average temperature of the globe below 2 °C if compared to pre-industrial levels. In this context, the paper analyses the potential impact of climate change on the energy uses for heating and cooling in southern Europe, based on the assumptions of the latest Intergovernm…

Consumption (economics)Settore ING-IND/11 - Fisica Tecnica AmbientaleMeteorologyIPCCRenewable Energy Sustainability and the Environment020209 energyGeography Planning and Development0211 other engineering and technologiesClimate changeContext (language use)02 engineering and technologyModelling climate changeManagement Monitoring Policy and LawBuilding simulationOrder (exchange)Effects of global warmingGreenhouse gasRange (aeronautics)Weather data file021105 building & construction0202 electrical engineering electronic engineering information engineeringEnvironmental scienceClimate changeDownscaling
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MECDAS/spl minus/a distributed data acquisition system for experiments at MAMI

1994

For coincidence experiments with the three-spectrometer setup at MAMI an experiment control and data acquisition system has been built and was put successfully into final operation in 1992. MECDAS is designed as a distributed system using communication via Ethernet and optical links. At the front end, VMEbus systems are used for real time purposes and direct hardware access via CAMAC, Fastbus or VMEbus. RISC workstations running UNIX are used for monitoring, data archiving and online and offline analysis of the experiment. MECDAS consists of several fixed programs and libraries, but large parts of readout and analysis can be configured by the user. Experiment specific configuration files ar…

EthernetUnixNuclear and High Energy PhysicsWorkstationbusiness.industrylaw.inventionFront and back endsData acquisitionNuclear Energy and EngineeringlawData fileElectrical and Electronic EngineeringbusinessComputer hardwareComputer Automated Measurement and ControlVMEbusIEEE Transactions on Nuclear Science
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Global distributions of diazotrophs abundance and biomass - Depth integrated values computed from a collection of source datasets - Contribution to t…

2013

The MAREDAT atlas covers 11 types of plankton, ranging in size from bacteria to jellyfish. Together, these plankton groups determine the health and productivity of the global ocean and play a vital role in the global carbon cycle. Working within a uniform and consistent spatial and depth grid (map) of the global ocean, the researchers compiled thousands and tens of thousands of data points to identify regions of plankton abundance and scarcity as well as areas of data abundance and scarcity. At many of the grid points, the MAREDAT team accomplished the difficult conversion from abundance (numbers of organisms) to biomass (carbon mass of organisms). The MAREDAT atlas provides an unprecedente…

Go-Flo bottlesSalinityCAIBEX-IRV Kilo MoanaDiazotrophs total biomass as carbonUniform resource locator link to source data fileNitrateRichelia carbon per cellCTD/RosetteLatitude of eventNiskinRoger A RevelleTemperature waterCalculatedtop minbiomass as carbonTrichodesmium biomass as carbontotalbottom maxCTD Seabirdareal concentrationMultiple investigationsTemperatureDepth top/minRichelia abundance cellsCTD RosetteSeabirdCalothrixRoger A. RevelleTrichodesmiumTrichodesmium carbon per trichomeEarth System ResearchRichelia abundanceCAIBEX-IICalothrix abundanceMARine Ecosystem Model Intercomparison Project MAREMIPDiazotrophsLongitude of eventRichelia associated speciesSample methodIronChlorophyll total areal concentrationBottle NiskinwaterTrichodesmium abundance free trichomesMARine Ecosystem Model Intercomparison Project (MAREMIP)PhosphateSarmiento de GamboaSample commentCAIBOXUniform resource locator/link to source data filetotal biomass as carbonCalothrix carbon per cellHeterocyst biomassGo Flo bottlescoloniesDate/Time of eventChlorophyll totalTrichodesmium abundance totalRicheliaDEPTH waterTrichodesmium abundance coloniesMP-6biomassBottleDepthEvent labelDate Time of eventCAIBEX IIcarbon per cellMeasured at sea surfacefree trichomesMP-9CTDCalothrix abundance cellscarbon per trichomeTrichodesmium abundanceCalothrix associated speciesMP 9MP 6CAIBEX IcellsDepth bottom/maxassociated speciesHeterocyst
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Global distributions of diazotrophs nitrogen fixation rates - Depth integrated values computed from a collection of source datasets - Contribution to…

2013

The MAREDAT atlas covers 11 types of plankton, ranging in size from bacteria to jellyfish. Together, these plankton groups determine the health and productivity of the global ocean and play a vital role in the global carbon cycle. Working within a uniform and consistent spatial and depth grid (map) of the global ocean, the researchers compiled thousands and tens of thousands of data points to identify regions of plankton abundance and scarcity as well as areas of data abundance and scarcity. At many of the grid points, the MAREDAT team accomplished the difficult conversion from abundance (numbers of organisms) to biomass (carbon mass of organisms). The MAREDAT atlas provides an unprecedente…

Go-Flo bottlesSalinityCAIBEX-ITrichodesmium nitrogen fixation rateRV Kilo MoanaUniform resource locator link to source data fileNitrateCTD/RosetteLatitude of eventNiskinAlisRoger A RevelleTemperature waterwhole seawatertop minCalculatedbottom maxareal concentrationNitrogen fixation rateTemperatureDepth top/minCTD RosetteUnicellular cyanobacteria nitrogen fixation rateTrichodesmiumRoger A. RevelleNitrogen fixation rate integrated per dayEarth System ResearchMooring (long time)CAIBEX-IIMARine Ecosystem Model Intercomparison Project MAREMIPDiapalis 3Longitude of eventDiapalis 4Diapalis 5Sample methodIronwaterChlorophyll total areal concentrationBottle NiskinWater pumpMARine Ecosystem Model Intercomparison Project (MAREMIP)PhosphateWater sampleSarmiento de GamboaSample commentCAIBOXDiapalis 6Diapalis 7Uniform resource locator/link to source data fileDiapalis 9Go Flo bottlesNitrogen fixation rate whole seawaterintegrated per dayUnicellular cyanobacteriaDate/Time of eventChlorophyll totalMooring long timeDiapalis-7Diapalis-9Diapalis-3Diapalis-4Diapalis-5Diapalis-6DEPTH waterMP-6BottleDepthEvent labelDate Time of eventCAIBEX IIMeasured at sea surfaceMP-9MP 9MP 6CAIBEX IDepth bottom/maxHeterocyst nitrogen fixation rateHeterocyst
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Global distributions of diazotrophs Gamma-A nifH genes abundance - Depth integrated values computed from a collection of source datasets - Contributi…

2013

The MAREDAT atlas covers 11 types of plankton, ranging in size from bacteria to jellyfish. Together, these plankton groups determine the health and productivity of the global ocean and play a vital role in the global carbon cycle. Working within a uniform and consistent spatial and depth grid (map) of the global ocean, the researchers compiled thousands and tens of thousands of data points to identify regions of plankton abundance and scarcity as well as areas of data abundance and scarcity. At many of the grid points, the MAREDAT team accomplished the difficult conversion from abundance (numbers of organisms) to biomass (carbon mass of organisms). The MAREDAT atlas provides an unprecedente…

M60/5SalinityChlorophyll aDiazotrophs total biomass as carbonUniform resource locator link to source data fileNitrateCTD/RosetteLatitude of eventNiskinM55 1Temperature waterCalothrix abundance expressed in number of nifH gene copiesratio expressed in mass of carbon per amount of nifH gene copiesCalculatedtop minUnicellular cyanobacteria-B biological trait ratio expressed in mass of carbon per amount of nifH gene copiesCD132biomass as carbonTrichodesmium biomass as carbonM55/1bottom maxCTD SeabirdTemperatureDepth top/minCTD RosetteSeabirdRichelia biological trait ratio expressed in mass of carbon per amount of nifH gene copiesCalothrixSO187 2Unicellular cyanobacteria-B abundance expressed in number of nifH gene copiesTrichodesmiumEarth System ResearchMARine Ecosystem Model Intercomparison Project MAREMIPDiazotrophsLongitude of eventRichelia associated speciesSample methodCalothrix biological trait ratio expressed in mass of carbon per amount of nifH gene copiesIronBottle NiskinwaterIn situ pumpMARine Ecosystem Model Intercomparison Project (MAREMIP)Unicellular cyanobacteria-C abundance expressed in number of nifH gene copiesPhosphateWater sampleSample commentUnicellular cyanobacteria biomassUniform resource locator/link to source data filetotal biomass as carbonHeterocyst biomassUnicellular cyanobacteriaProteobacteriaDate/Time of eventMeteor 1986Richelia abundance expressed in number of nifH gene copiesUnicellular cyanobacteria CUnicellular cyanobacteria Bbiological traitSO187/2RicheliaUnicellular cyanobacteria ADEPTH waterbiomassTrichodesmium abundance expressed in number of nifH gene copiesMeteor (1986)BottleDepthEvent labelDate Time of eventTrichodesmium biological trait ratio expressed in mass of carbon per amount of nifH gene copiesUnicellular cyanobacteria-C biological trait ratio expressed in mass of carbon per amount of nifH gene copiesMeasured at sea surfaceCTDCalothrix associated speciesCharles DarwinSonneabundance expressed in number of nifH gene copiesM60 5Depth bottom/maxUnicellular cyanobacteria-A abundance expressed in number of nifH gene copiesassociated speciesProteobacteria abundance expressed in number of nifH gene copiesHeterocyst
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The role of weather data files in Climate-based Daylight Modeling

2015

Abstract This paper illustrates the results of daylight simulations of a simple standalone office carried out using different weather data files (IWEC, Meteonorm, Satel-Light and TRY), for five European locations (Copenhagen, London, Milan, Nancy, Rome). The aim was to analyze the impact of choosing one weather file or another on the prediction of daylight availability in an indoor environment. Results were analyzed both in terms of Annual and Monthly Light Exposures and dynamic daylight performance metrics. It was demonstrated that IWEC, Meteonorm and Satel-Light weather files determine similar outcomes, instead TRY weather data always produces considerably lower values. Moreover the diffe…

Settore ING-IND/11 - Fisica Tecnica AmbientaleMeteorologyDynamic daylight simulationRenewable Energy Sustainability and the EnvironmentWeather data fileWeather dataMaterials ScienceIndoor environmentDynamic daylight performance metricEnvironmental scienceGeneral Materials ScienceDaylightIndoor environment quality
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BioLab: An Educational Tool for Signal Processing Training in Biomedical Engineering

2007

This paper introduces and evaluates BioLab, a tool for teaching biosignal processing. BioLab has been used in the biomedical engineering module that is given in the second semester of the fifth year of the electronic engineering degree at the University of Valencia, Spain. This module and its correspondent curricular pathway are also reviewed. BioLab allows the results obtained with digital processing techniques to be shown interactively in the theory classes, and it also provides support in laboratory sessions. The graphic interface of BioLab simplifies its learning and use and provides access to processing and visualization functions by means of menus. The tool is based on Matlab since th…

Signal processingbusiness.industryComputer scienceProject-based learningcomputer.software_genreUSableEducationVisualizationData fileBiosignalElectrical and Electronic EngineeringbusinesscomputerGraphical user interfaceEducational softwareBiomedical engineeringIEEE Transactions on Education
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Dynamic daylight simulations: Impact of weather file’s choice

2015

Abstract This paper is the second step of a research project aimed at investigating the impact of the use of different weather data files on daylight simulations’ results. Simulations were carried out for a simple standalone office using three weather files (IWEC, Meteonorm and Satel-Light) for two European locations (Copenhagen and Rome); moreover the office’s exposure was changed according to the four main orientations (North, East, South and West). Results were analyzed both in terms of Annual and Monthly Light Exposures, dynamic daylight performance metrics (DA, DAcon, UDI) and sunlight’s incidence. It was demonstrated that differences between the results obtained with the different wea…

SunlightSettore ING-IND/11 - Fisica Tecnica AmbientaleMeteorologyDynamic daylight simulationRenewable Energy Sustainability and the EnvironmentDynamic daylight performance metricIndoor environment qualityDynamic daylight performance metricsWeather data fileMaximum differenceWeather dataEnvironmental scienceGeneral Materials ScienceDaylightMaterials Science (all)Dynamic daylight simulationsSolar Energy
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Automated quality control of next generation sequencing data using machine learning

2019

AbstractControlling quality of next generation sequencing (NGS) data files is a necessary but complex task. To address this problem, we statistically characterized common NGS quality features and developed a novel quality control procedure involving tree-based and deep learning classification algorithms. Predictive models, validated on internal data and external disease diagnostic datasets, are to some extent generalizable to data from unseen species. The derived statistical guidelines and predictive models represent a valuable resource for users of NGS data to better understand quality issues and perform automatic quality control. Our guidelines and software are available at the following …

business.industryComputer sciencemedia_common.quotation_subjectDeep learningMachine learningcomputer.software_genreDNA sequencingStatistical classificationTree (data structure)Task (computing)SoftwareResource (project management)Data fileQuality (business)Artificial intelligencebusinesscomputermedia_common
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