Project: IPCC Assessment Report Four ECHAM5/MPIOM data sets - The project embraces the simulations with the coupled climate model ECHAM5/MPIOM, relevant for the 4th Assessment Report (AR4, http://www.ipcc.ch/ipccreports/assessments-reports.htm ) of the Intergovernmental Panel on Climate Change (IPCC). The 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 options for adaptation and mitigation. A more detailed description about the work of the IPCC can be found at the IPCC homepage ( http://www.ipcc.ch ) and at ( www.grida.no/climate/ipcc ). As a further development the Special Report on Emission Scenarios (SRES, http://www.grida.no/Climate/ipcc/emission/) have been constructed, to describe (potential) future developments in the global environment with special reference to the production of greenhouse gases and to aerosol precursor emissions. A set of four scenario families (A1, A2, B1, B2) have been developed (see also http://www.grida.no/climate/ipcc/emission/index.htm ) The model output data are available at the World Data Center for Climate, Hamburg.( wdc-climate.de ).Projection of future trends based on selected emission scenarios are provided through this project for a great many model variables of ECHAM5/MPIOM . For a selected set of variables the IDCC-Data Distribution Center provides additional data sets from a multitude of models that contribute to the IPCC-AR4 report (project: IPCC_DDC_AR4). Summary: The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The B1 scenario describes a storyline with rapid change in economic structures toward a service and information economy, with reductions in material intensity and the introduction of clean and resource-efficient technologies. The experiment has been initialized in year 2000 of the 20C_2 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to B1. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204096/EXP200/run224
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This compressed dataset includes the queried CVS files from 16 GCAM data bases generated for the study titled "Trade-Offs in Land-Based Carbon Removal Measures under 1.5°C and 2°C Futures". The data sets provided here came from the GCAM model output. Please find the model and code information at the GitHub repo: realxinzhao/paper-LandBasedCDR-GCAM. In addition, the data were used for generating results used in the paper. See more information at realxinzhao/paper-LandBasedCDR-DisplayItems.
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Despite the apparent centrality of guilt in complicating reactions following bereavement, scientific investigation has been limited. Establishing the impact of specific components associated with guilt could enhance understanding. The aim of this study was to examine the relationships between two guilt-related manifestations, namely self-blame and regret, with grief and depression. A longitudinal investigation was conducted 4-7 months, 14 months and 2 years post-loss. Participants were bereaved spouses (30 widows; 30 widowers); their mean age was 53.05 years. Results showed that self-blame was associated with grief at the initial time-point and with its decline over time. Such associations were not found for depression. Initial levels of regret were neither associated with initial levels of grief and depression, nor were they related to the decline over time in either outcome variable. These results demonstrate the importance of examining guilt-related manifestations independently, over time, and with respect to both generic and grief-specific outcome variables. A main conclusion is that self-blame (but not regret) is a powerful determinant of grief- specific difficulties following the loss of a loved one. Implications for intervention are considered. For guilt and grief, scale scores were calculated by adding the respective single items.
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Bioassays of effect of botanical extracts against sucking pests of Horticultural crops
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Election results for the county council elections in 2002 for all electoral districts in Sweden. Contains information on the total number of eligible voters, number of foreign citizens eligible to vote, number of voters, number of valid and invalid ballots and the number of votes for the major parties. Valresultat för landstingsvalen 2002 för alla valdistrikt i Sverige. Innehåller uppgifter om totala antalet röstberättigade, antal röstberättigade utländska medborgare, antal röstande, antal giltiga respektive ogiltiga valsedlar samt antalet röster för de större partierna.
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Disclaimer: These datasets were generated during the course of academic research conducted at the Faculty of Medicine, The Chinese University of Hong Kong, which received ethics approval by The Joint Chinese University of Hong Kong ��� New Territories East Cluster Clinical Research Ethics Committee and/or the Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster of the Hospital Authority. They are published for further advancement of medical research in full compliance with University Regulations and Policy on Dataset Deposit and Sharing. For additional information: https://libguides.lib.cuhk.edu.hk/RDM/dataset_deposit The use of these datasets should provide acknowledgements of such efforts by citing this DOI. Data set on heart failure due to different causes
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Project: IPCC Assessment Report Four ECHAM5/MPIOM data sets - The project embraces the simulations with the coupled climate model ECHAM5/MPIOM, relevant for the 4th Assessment Report (AR4, http://www.ipcc.ch/ipccreports/assessments-reports.htm ) of the Intergovernmental Panel on Climate Change (IPCC). The 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 options for adaptation and mitigation. A more detailed description about the work of the IPCC can be found at the IPCC homepage ( http://www.ipcc.ch ) and at ( www.grida.no/climate/ipcc ). As a further development the Special Report on Emission Scenarios (SRES, http://www.grida.no/Climate/ipcc/emission/) have been constructed, to describe (potential) future developments in the global environment with special reference to the production of greenhouse gases and to aerosol precursor emissions. A set of four scenario families (A1, A2, B1, B2) have been developed (see also http://www.grida.no/climate/ipcc/emission/index.htm ) The model output data are available at the World Data Center for Climate, Hamburg.( wdc-climate.de ).Projection of future trends based on selected emission scenarios are provided through this project for a great many model variables of ECHAM5/MPIOM . For a selected set of variables the IDCC-Data Distribution Center provides additional data sets from a multitude of models that contribute to the IPCC-AR4 report (project: IPCC_DDC_AR4). Summary: The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The B1 scenario describes a storyline with rapid change in economic structures toward a service and information economy, with reductions in material intensity and the introduction of clean and resource-efficient technologies. The experiment has been initialized in year 2000 of the 20C_2 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to B1. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204096/EXP200/run224
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citations | 1 | |
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citations | 0 | |
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This compressed dataset includes the queried CVS files from 16 GCAM data bases generated for the study titled "Trade-Offs in Land-Based Carbon Removal Measures under 1.5°C and 2°C Futures". The data sets provided here came from the GCAM model output. Please find the model and code information at the GitHub repo: realxinzhao/paper-LandBasedCDR-GCAM. In addition, the data were used for generating results used in the paper. See more information at realxinzhao/paper-LandBasedCDR-DisplayItems.
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