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Research data keyboard_double_arrow_right Dataset 2020 EnglishZenodo Fantini F,; Toso A,; Menicanti L,; Moroni F,; Castelvecchio S;Data set from Fantini F, Toso A, Menicanti L, Moroni F, Castelvecchio S. Restrictive filling pattern in ischemic cardiomyopathy: Insights after surgical ventricular restoration. J Thorac Cardiovasc Surg. 2019 Oct 30:S0022-5223(19)32349-9. doi: 10.1016/j.jtcvs.2019.09.173. Epub ahead of print. PMID: 31767363. This is the abstract: Objective: To examine factors possibly involved in the resolution or persistence of restrictive filling pattern (RFP) after surgical ventricular restoration (SVR) in a series of patients with ischemic cardiomyopathy (ICM) and RFP. Methods: Echocardiography was performed at baseline (pre-SVR), discharge, and follow-up in 43 patients with ICM and RFP (E/A ratio ≥2). Patients were divided into 2 groups based on E/A ratio at discharge: improved (E/A ratio <2; 22 patients) and unchanged (E/A ratio ≥2; 21 patients). Results: The improved group had a significantly increased mean deceleration time (from 137 ± 22 ms to 194 ± 68 ms; P = .002) and mean A wave velocity (from 43 ± 10 cm/s to 92 ± 37 cm/s; P = .001), and decreased E/e' ratio (from 27.7 ± 9.5 to 19.2 ± 7.8; P = .01) after SVR. The unchanged group did not show any significant variations in diastolic parameters. The only significant differences at baseline between the two groups were thinner left ventricle posterior wall and lower relative wall thickness (RWT) in the unchanged group. RWT was the sole baseline parameter independently associated with persistent RFP. Conclusions: RFP was reversed after SVR in 22 of our 43 patients with ICM with a response that remained stable over time, associated with improved New York Heart Association class. RWT was the sole baseline echocardiographic parameter significantly associated with the evolution of RFP after
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2007 EnglishWorld Data Center for Climate (WDCC) at DKRZ Authors: Lowe, Jason;Lowe, Jason;Project: IPCC Data Distribution Centre : Assessment Report Four data sets - The Intergovernmental Panel on Climate Change (IPCC) has been established by WMO and UNEP to assess scientific, technical and socio-economic information, relevant for the understanding of climate change, its potential impacts and option for adaption and migration. Projection of future trends for a number of key variables are provided through this section of the DDC (http://ipcc-data.org/sim/gcm_clim/SRES_AR4 ). The SRES scenarios have been constructed to explore future developments in the global enviromental with special reference to the production of greenhouse gases and aerosol precursor emission. A set of four scenario families (A1, A2, B1, B2) have been developed that each of this storylines describes one possible demographic, polito-economic, societal and technological future. Model experiments, also using different forcing scenarios, were calculated at other modeling centres. The data represent a subset of data sets from the IPCC Model Output Archive at PCMDI (http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php). _ These datasets are available in netCDF and GRIB format. The dataset names are composed of - centre/model acronym (e.g. MPEH5: Max-Planck-Institute/Echam5) - scenario acronym (e.g. SRB1: SRES B1) - run number (e.g. 1: run 1) - format identifier (e.g. N: netCDF, G: GRIB) - variable acronym [with level value] (e.g. hur850: relative humidity, 850 hPa) --> example: MPEH5_SRB1_1_G_hur850 Summary: These data represent monthly averaged values of selected variables for the Data Distribution Centre (DDC) of the Intergovernmental Panel on Climate Change (IPCC). (see also http://www.ipcc-data.org/) The model output prepared for IPCC Fourth Assessment climate of the Pre-industrial control experiment (picntrl). These datasets are available in netCDF and GRIB format. The dataset names are composed of - centre/model acronym (e.g. MPEH5: Max-Planck-Institute/Echam5) - scenario acronym (e.g. PICTL: PICNTRL) - run number (e.g. 1: run 1) - format identifier (e.g. N: netCDF, G: GRIB) - variable acronym [with level value] (e.g. hur850: relative humidity, 850 hPa) --> example: MPEH5_PICTL_1_G_hur850 For this experiment there are 2 ensemble runs available. For model output data in higher temporal resulution and more variables visit the web page https://esg.llnl.gov:8443/home/publicHomePage.do.
World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2007Data sources: World Data Center for Climate at DKRZAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=r3d18674e211::fc6d641f071a17bbc7e33ace33eeff89&type=result"></script>'); --> </script>
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 Netherlands EnglishRadboud University Zhou, Joey; Iemi, Luca; Schoffelen, Jan Mathijs; Lange, Floris; Haegens, Saskia;doi: 10.34973/w1k5-sm41
handle: 2066/241289
Alpha oscillations (8���14 Hz) are the dominant rhythm in the awake brain, which is proposed to set the internal state of the neural system. Previous work has demonstrated that states of decreased spontaneous alpha oscillatory power correlate with enhanced neural excitability. However, whether and how changes in neural excitability influence sensory processing and manifest in behavior are yet open questions. To address these questions, we used a novel paradigm to experimentally manipulate human participants��� decision criterion (i.e., how certain percepts are used for decision) in a visual detection task. In different blocks, we primed participants differently with clearly visible stimuli to introduce either a liberal or conservative decision criterion for the subsequently presented ambiguous stimuli. While we observed prevalent criterion shifts in participants��� decisions under different priming conditions, the pre-stimulus oscillatory power or phase were not modulated by different priming conditions. Trial-by-trial analyses showed that lower spontaneous alpha oscillatory power in visual areas encoding the target stimuli leads to higher accuracy in performing the task, which is accompanied with enhanced information content decodable in the neural activity patterns. Moreover, spontaneous alpha oscillatory phase in anterior frontal and superior parietal regions modulate accuracy in a phasic sinusoidal manner. Together, our results indicate that as neural excitability increases in the state of decreased occipital alpha-band oscillatory power, the sensory representation of task-relevant visual stimuli is sharpened and consequently leads to improved behavioral discriminability.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2013 EnglishWorld Data Center for Climate (WDCC) at DKRZ Authors: Smith, Doug; Pohlmann, Holger; Eade, Rosie;Smith, Doug; Pohlmann, Holger; Eade, Rosie;Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: 'decadal1997' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( http://cmip-pcmdi.llnl.gov/cmip5/ ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. decadal1997 (10-year hindcast/prediction initialized in year 1997) - Version 2: The atmospheric composition (and other conditions) should be prescribed as in the historical run (expt. 3.2) and the RCP4.5 scenario (expt. 4.1) of the long-term suite of experiments. Ocean initial conditions should be in some way representative of the observed anomalies or full fields for the start date. Land, sea-ice and atmosphere initial conditions are left to the discretion of each group. Experiment design: http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_design.pdf List of output variables: http://cmip-pcmdi.llnl.gov/cmip5/docs/standard_output.pdf Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( http://cmip-pcmdi.llnl.gov/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2013Data sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2013Data sources: World Data Center for Climate at DKRZadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2013Data sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2013Data sources: World Data Center for Climate at DKRZadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset Netherlands EnglishIn this work, we present Python code to run the FDTD simulations, as well as the OpenFOAM cases (and the custom OpenFOAM solver code required by that case), that were used to prepare the figures in the manuscript with the title "Multi-scale Dynamics of Ultrafast Laser Nano-Ablation of Water" by J. Hernandez-Rueda and D. van Oosten
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2014 EnglishWorld Data Center for Climate (WDCC) at DKRZ EC | COMBINESénési, Stephane; Richon, Jacques; Franchistéguy, Laurent; Tyteca, Sophie; Moine, Marie-Pierre; Voldoire, Aurore; Sanchez-Gomez, Emilia; Salas y Mélia, David; Decharme, Bertrand; Cassou, Christophe; Valcke, Sophie; Beau, Isabelle; Alias, Antoinette; Chevallier, Matthieu; Déqué, Michel; Deshayes, Julie; Douville, Hervé; Madec, Gurvan; Maisonnave, Eric; Planton, Serge; Saint-Martin, David; Szopa, Sophie; Alkama, Ramdane; Belamari, Sophie; Braun, Alain; Coquart, Laure; Chauvin, Fabrice;Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: rcp85 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( http://cmip-pcmdi.llnl.gov/cmip5/ ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 4.2 rcp85 (4.2 RCP8.5) - Version 1: Future projection (2006-2100) forced by RCP8.5. RCP8.5 is a representative concentration pathway which approximately results in a radiative forcing of 8.5 W m-2 at year 2100, relative to pre-industrial conditions. RCPs are time-dependent, consistent projections of emissions and concentrations of radiatively active gases and particles. Experiment design: http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_design.pdf List of output variables: http://cmip-pcmdi.llnl.gov/cmip5/docs/standard_output.pdf Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( http://cmip-pcmdi.llnl.gov/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2014Data sources: World Data Center for Climate at DKRZadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019 EnglishZenodo Authors: Hervo, Maxime;Hervo, Maxime;Please contact Maxime Hervo from MeteoSwiss for information about the data set.
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visibility 93visibility views 93 download downloads 5 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 EnglishZenodo Authors: Primo, Rilton Gonçalo Bonfim; Pedrão, Fernando Cardoso; Bouza, Carlos Narciso; Martín-Gil, Jesús; +1 AuthorsPrimo, Rilton Gonçalo Bonfim; Pedrão, Fernando Cardoso; Bouza, Carlos Narciso; Martín-Gil, Jesús; De Araújo Kalid, Ricardo;Main articles on policosannol yield, by material sources and extraction methods (saponification, transesterification, solvent extraction, supercritical CO2 extraction and ultrasonic extraction). Work conducted during a scholarship supported by the Institutional Sandwich Doctorate Program Abroad (PDSE) at the Federal University of Bahia (UFBA), Salvador, Brazil, and University of Valladolid (UVA), Palencia, Spanish. Acknowledgment: To the University of Valladolid for receiving us, support and training. To MsC D. Kouloukoui, MsC F. Santos, MsC D. Silva and Me. S. Talabante for technical advice. Funding: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (Capes) - Finance Code 001.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020 EnglishUniversität Hamburg Authors: Engelkes, Karolin; Haas, Alexander;Engelkes, Karolin; Haas, Alexander;Species: Crossodactylus caramaschii Collection number: USNM 318234 Institution of origin: National Museum of Natural History, Washington, D.C. Data: CT volume of unstained specimen Coverage: full specimen Scanner: Skyscan1172 Scanning paramters: 49 kV; 200 µA; filter: Al 0.5 mm Voxel size: 11.86915 µmDataset used in: Engelkes, K., Kath, L., Kleinteich, T., Hammel, J. U., Beerlink, A., Haas, A. (2020) Ecomorphology of the pectoral girdle in anurans (Amphibia, Anura): Shape diversity and biomechanical considerations. Ecology and Evolution 10(20): 11467–11487. https://doi.org/10.1002/ece3.6784. Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 387723284 and the Wilhelm-Peters-Fonds of the Deutsche Gesellschaft für Herpetologie und Terrarienkunde e.V.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 EnglishZenodo Authors: Buffa, Valentin; Frey, Eberhard; Steyer, J.-Sébastien; Laurin, Michel;Buffa, Valentin; Frey, Eberhard; Steyer, J.-Sébastien; Laurin, Michel;Files 1-3: RTI interactive photographs of the skulls of the drepanosauromorphs Megalancosaurus preonensis Calzavara, Muscio and Wild, 1980 and Vallesaurus cenensis Renesto and Binelli, 2006 (Norian, Italy). Reflectance Transformation Imaging (RTI) is a method that computes an 'interactive specimen' on which the illumination can be oriented at will. Sets of 54 photographs under different LED sources were compiled using the RTIBuilder software. The RTI files can be opened using the RTI vewer software (both softwares are freely available at www.culturalheritageimaging.org). Files 4-6: Nexus files of phylogenetic taxon-character matrices and backbone constraints used in phylogenetic analyses. Currently only available upon request for reviewers, but will be made public after acceptance of article for publication.
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Research data keyboard_double_arrow_right Dataset 2020 EnglishZenodo Fantini F,; Toso A,; Menicanti L,; Moroni F,; Castelvecchio S;Data set from Fantini F, Toso A, Menicanti L, Moroni F, Castelvecchio S. Restrictive filling pattern in ischemic cardiomyopathy: Insights after surgical ventricular restoration. J Thorac Cardiovasc Surg. 2019 Oct 30:S0022-5223(19)32349-9. doi: 10.1016/j.jtcvs.2019.09.173. Epub ahead of print. PMID: 31767363. This is the abstract: Objective: To examine factors possibly involved in the resolution or persistence of restrictive filling pattern (RFP) after surgical ventricular restoration (SVR) in a series of patients with ischemic cardiomyopathy (ICM) and RFP. Methods: Echocardiography was performed at baseline (pre-SVR), discharge, and follow-up in 43 patients with ICM and RFP (E/A ratio ≥2). Patients were divided into 2 groups based on E/A ratio at discharge: improved (E/A ratio <2; 22 patients) and unchanged (E/A ratio ≥2; 21 patients). Results: The improved group had a significantly increased mean deceleration time (from 137 ± 22 ms to 194 ± 68 ms; P = .002) and mean A wave velocity (from 43 ± 10 cm/s to 92 ± 37 cm/s; P = .001), and decreased E/e' ratio (from 27.7 ± 9.5 to 19.2 ± 7.8; P = .01) after SVR. The unchanged group did not show any significant variations in diastolic parameters. The only significant differences at baseline between the two groups were thinner left ventricle posterior wall and lower relative wall thickness (RWT) in the unchanged group. RWT was the sole baseline parameter independently associated with persistent RFP. Conclusions: RFP was reversed after SVR in 22 of our 43 patients with ICM with a response that remained stable over time, associated with improved New York Heart Association class. RWT was the sole baseline echocardiographic parameter significantly associated with the evolution of RFP after
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2007 EnglishWorld Data Center for Climate (WDCC) at DKRZ Authors: Lowe, Jason;Lowe, Jason;Project: IPCC Data Distribution Centre : Assessment Report Four data sets - The Intergovernmental Panel on Climate Change (IPCC) has been established by WMO and UNEP to assess scientific, technical and socio-economic information, relevant for the understanding of climate change, its potential impacts and option for adaption and migration. Projection of future trends for a number of key variables are provided through this section of the DDC (http://ipcc-data.org/sim/gcm_clim/SRES_AR4 ). The SRES scenarios have been constructed to explore future developments in the global enviromental with special reference to the production of greenhouse gases and aerosol precursor emission. A set of four scenario families (A1, A2, B1, B2) have been developed that each of this storylines describes one possible demographic, polito-economic, societal and technological future. Model experiments, also using different forcing scenarios, were calculated at other modeling centres. The data represent a subset of data sets from the IPCC Model Output Archive at PCMDI (http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php). _ These datasets are available in netCDF and GRIB format. The dataset names are composed of - centre/model acronym (e.g. MPEH5: Max-Planck-Institute/Echam5) - scenario acronym (e.g. SRB1: SRES B1) - run number (e.g. 1: run 1) - format identifier (e.g. N: netCDF, G: GRIB) - variable acronym [with level value] (e.g. hur850: relative humidity, 850 hPa) --> example: MPEH5_SRB1_1_G_hur850 Summary: These data represent monthly averaged values of selected variables for the Data Distribution Centre (DDC) of the Intergovernmental Panel on Climate Change (IPCC). (see also http://www.ipcc-data.org/) The model output prepared for IPCC Fourth Assessment climate of the Pre-industrial control experiment (picntrl). These datasets are available in netCDF and GRIB format. The dataset names are composed of - centre/model acronym (e.g. MPEH5: Max-Planck-Institute/Echam5) - scenario acronym (e.g. PICTL: PICNTRL) - run number (e.g. 1: run 1) - format identifier (e.g. N: netCDF, G: GRIB) - variable acronym [with level value] (e.g. hur850: relative humidity, 850 hPa) --> example: MPEH5_PICTL_1_G_hur850 For this experiment there are 2 ensemble runs available. For model output data in higher temporal resulution and more variables visit the web page https://esg.llnl.gov:8443/home/publicHomePage.do.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 Netherlands EnglishRadboud University Zhou, Joey; Iemi, Luca; Schoffelen, Jan Mathijs; Lange, Floris; Haegens, Saskia;doi: 10.34973/w1k5-sm41
handle: 2066/241289
Alpha oscillations (8���14 Hz) are the dominant rhythm in the awake brain, which is proposed to set the internal state of the neural system. Previous work has demonstrated that states of decreased spontaneous alpha oscillatory power correlate with enhanced neural excitability. However, whether and how changes in neural excitability influence sensory processing and manifest in behavior are yet open questions. To address these questions, we used a novel paradigm to experimentally manipulate human participants��� decision criterion (i.e., how certain percepts are used for decision) in a visual detection task. In different blocks, we primed participants differently with clearly visible stimuli to introduce either a liberal or conservative decision criterion for the subsequently presented ambiguous stimuli. While we observed prevalent criterion shifts in participants��� decisions under different priming conditions, the pre-stimulus oscillatory power or phase were not modulated by different priming conditions. Trial-by-trial analyses showed that lower spontaneous alpha oscillatory power in visual areas encoding the target stimuli leads to higher accuracy in performing the task, which is accompanied with enhanced information content decodable in the neural activity patterns. Moreover, spontaneous alpha oscillatory phase in anterior frontal and superior parietal regions modulate accuracy in a phasic sinusoidal manner. Together, our results indicate that as neural excitability increases in the state of decreased occipital alpha-band oscillatory power, the sensory representation of task-relevant visual stimuli is sharpened and consequently leads to improved behavioral discriminability.
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more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2013 EnglishWorld Data Center for Climate (WDCC) at DKRZ Authors: Smith, Doug; Pohlmann, Holger; Eade, Rosie;Smith, Doug; Pohlmann, Holger; Eade, Rosie;Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: 'decadal1997' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( http://cmip-pcmdi.llnl.gov/cmip5/ ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. decadal1997 (10-year hindcast/prediction initialized in year 1997) - Version 2: The atmospheric composition (and other conditions) should be prescribed as in the historical run (expt. 3.2) and the RCP4.5 scenario (expt. 4.1) of the long-term suite of experiments. Ocean initial conditions should be in some way representative of the observed anomalies or full fields for the start date. Land, sea-ice and atmosphere initial conditions are left to the discretion of each group. Experiment design: http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_design.pdf List of output variables: http://cmip-pcmdi.llnl.gov/cmip5/docs/standard_output.pdf Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( http://cmip-pcmdi.llnl.gov/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2013Data sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2013Data sources: World Data Center for Climate at DKRZadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2013Data sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2013Data sources: World Data Center for Climate at DKRZadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset Netherlands EnglishIn this work, we present Python code to run the FDTD simulations, as well as the OpenFOAM cases (and the custom OpenFOAM solver code required by that case), that were used to prepare the figures in the manuscript with the title "Multi-scale Dynamics of Ultrafast Laser Nano-Ablation of Water" by J. Hernandez-Rueda and D. van Oosten
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2014 EnglishWorld Data Center for Climate (WDCC) at DKRZ EC | COMBINESénési, Stephane; Richon, Jacques; Franchistéguy, Laurent; Tyteca, Sophie; Moine, Marie-Pierre; Voldoire, Aurore; Sanchez-Gomez, Emilia; Salas y Mélia, David; Decharme, Bertrand; Cassou, Christophe; Valcke, Sophie; Beau, Isabelle; Alias, Antoinette; Chevallier, Matthieu; Déqué, Michel; Deshayes, Julie; Douville, Hervé; Madec, Gurvan; Maisonnave, Eric; Planton, Serge; Saint-Martin, David; Szopa, Sophie; Alkama, Ramdane; Belamari, Sophie; Braun, Alain; Coquart, Laure; Chauvin, Fabrice;Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the dat