cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/wdcc/rcm_cmip5_decadal1990-mr
title: Regional Climate Modelling forcing Data from CMIP5 simulations of the Max Planck Institute for Meteorology (MPI-M) based on the MPI-ESM-MR model: The decadal1990 experiment

description: Project: RCM forcing data from MPI-ESM (ECHAM6/JSBACH/MPIOM/HAMOCC) CMIP5 experiments - This project provides variables from MPI-ESM (ECHAM6/JSBACH/MPIOM/HAMOCC) experiments performed at DKRZ in the context of the CMIP5 activities. The CMIP5 experiments are described at http://cmip-pcmdi.llnl.gov/cmip5/experiment_design.html . Essential variables for regional climate modelling are available. They are stored in native GRIB-format (e.g. spectral). The CMIP5 experiments have been performed with various model versions of MPI-ESM. The low-resolution version MPI-ESM-LR has been run with T63L47 (192 x 96 gridpoints; 47 vertical layers) for ECHAM6/JSBACH and GR15 (ca. 1.5 deg) of MPIOM/HAMOCC. The mixed-resolution version MPI-ESM-MR has been run with T63L95 (192 x 96 gridpoints; 95 vertical layers) for ECHAM6/JSBACH and TP04 (tripolar grid, ca. 0.4 deg) of MPIOM/HAMOCC. CMIP5 ensemble members are named 'rNiNpN': rN is the realisation, iN is the initialisation method, and pN stands for the parametrisation or physics variant of the experiment. Experiments wich differ only in their realisation numbers differ only with respect to their restart files. For each experiment-member five datasets are provided: 1 .._rcm_c5 contains: divergence, vorticity, and air temperature 2 .._rcm_c5_133 contains: specific_humidity and surface pressure 3 .._rcm_etc contains: cloud water/ice; land/sea surface - and ice temperature; sea ice thickness/area fraction; soil moisture content; snow thickness on sea ice 4 .._rcm_land contains: temperature (5 soil levels) 5 .._rcm_fx contains: land/sea - and glacier mask, orographie (as geopotential) and soil moisture at field capacity . Abbreviatons in the dataset-acronyms: echam6: eh6 jsbach: jsb The CMIP5 requested variables of table '6hrLev' are contained in the first and second dataset. However, ua and va have to be calculated from divergence and vorticity (e.g. with 'cdo dv2uv ...'). Spectral to gridpoint transformation can be done with 'cdo sp2gp ...'. Summary: RCM forcing data from three realisations of the CMIP5 experiment decadal1990. The decadal1990 experiment covers the years 1991-2000. The members start from different states in late 1990 (1 day apart) of an assimilated historical run (realisation 1).
DOI: 10.5284/1017462
title: Osteological Analysis of Early Bronze Age human skeletal remains in Tyne and Wear Museums

description: Much of our understanding of Early Bronze Age burials in the North East of England is derived from excavations which took place in the late nineteenth and early twentieth centuries. In order to judge the reliability of existing information on the human remains recovered, and to provide additional detailed information, Michelle Gamble carried out osteological re-analysis of the human remains from several Early Bronze Age burials from the North East of England. The purpose of the osteological analyses was to inform a new synthesis of Chalcolithic and Early Bronze Age (c. 2500-1500 BC) mortuary practices in this region, utilising the contextual evidence from excavations of over 350 burials conducted by Chris Fowler (2013a; 2013b).The dataset presented here represents a detailed inventory of the all the human skeletal material from the Chalcolithic and Early Bronze Age in North East England which could be located within the Tyne and Wear Museums' collections (Great North Museum in Newcastle upon Tyne, Sunderland Museum and Wintergardens in Sunderland, and Arbeia Museum and Roman Fort in South Shields). Key findings of the osteological analysis, radiocarbon dating of some selected bones, and contextual information on the remains examined are related in an article by Gamble and Fowler (in press). The human remains examined derive from the following archaeological sites (though see Gamble and Fowler in press for discussion of provenance): Allerwash, Newbrough (NY871673); Bewes Hill, Stargate, Newburn (NZ170630); Corby's Crags, Edlingham (NU12800965); Denton Burn, Newcastle (NZ1965); Fulwell, Sunderland (NZ3959); Hasting Hill, Offerton, Sunderland (NZ35275435);  Hollybush, Gunnerton, Wark (NY894746); Humbledon Hill, Sunderland (NZ381551); Reaverhill Farm, Barrasford (NY907737); Hexham Golf Course (NY922649); Mill Field, Bedlington (NZ262814); Summerhill, Blaydon (NZ177635); Warden Law, Sunderland (NZ372505); West Wharmley (NY8866); and Whitton Hill, Milfield (NT933347).
DOI: 10.1594/wdcc/cmip5.mxelv6
title: CMIP5 simulations of the Max Planck Institute for Meteorology (MPI-M) based on the MPI-ESM-LR model: The noVolc1960 experiment, served by ESGF

description: 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: noVolc1960 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/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. noVolc1960 (1.3 hindcast without volcanoes (1960)) - Version 3: Hindcast without volcanoes. Additional 10yr run for experiment 1.1 from 1960 without including the Agung, El Chichon and Pinatubo eruptions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html 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 ( https://pcmdi.llnl.gov/mips/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 .
DOI: 10.5880/tr32db.1
title: Enhanced Land Use Classification of 2008 for the Rur catchment

description: This data set contains the enhanced land use
      classification of 2008 for the study area of the CRC/Transregio 32: "Patterns in
      Soil-Vegetation-Atmosphere Systems: monitoring, modelling and data assimilation", which
      corresponds to the catchment of the river Rur. The study area is mainly situated in the
      western part of North Rhine-Westphalia (Germany) and parts of the Netherlands and Belgium. The
      land use classification is derived from supervised, multi temporal remote sensing data
      analysis using "Advanced Spaceborne Thermal Emission and Reflection
      Radiometer" (ASTER), Resourcesat-1 (IRS-P6), Landsat 5 TM (L5) and Landsat 7 ETM+
      (L7). For the land use analysis datasets of the following acquisition dates were used: ASTER
      (VNIR): May 05, 2008; IRS-P6 (LISS III): June 10, 2008; L7: July 15, 2008; L5: September 09,
      2008. The incorporated sensors have different spatial resolutions of 15 m (ASTER, VNIR), 23.5
      m (IRS-P6) and 30 m (Landsat TM & ETM+). For the land use analysis all datasets were
      resampled to 15 m spatial resolution. Full coverage of the study area was not available for
      all acquisition dates. To enhance the information content of the land use data product the
      Multi-Data Approach (MDA) was used to combine the remote sensing derived land use information
      with additional data sets like the ‘Authorative Topographic-Cartographic Information System’
      (ATKIS Basic-DLM, AAA schema) and ‘Physical Block’ information. The classification is provided
      in GeoTIFF and in ASCII format. Spatial resolution: 15 m; projection: WGS84, UTM Zone
      32N.
DOI: 10.1594/wdcc/cmip5.mxelv0
title: CMIP5 simulations of the Max Planck Institute for Meteorology (MPI-M) based on the MPI-ESM-LR model: The noVolc1980 experiment, served by ESGF

description: 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: noVolc1980 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/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. noVolc1980 (1.3 hindcast without volcanoes (1980)) - Version 2: Hindcast without volcanoes. Additional 10yr run for experiment 1.1 from 1980 without including the Agung, El Chichon and Pinatubo eruptions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html 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 ( https://pcmdi.llnl.gov/mips/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 .
DOI: 10.1594/wdcc/cmip5.mxelv7
title: CMIP5 simulations of the Max Planck Institute for Meteorology (MPI-M) based on the MPI-ESM-LR model: The noVolc1975 experiment, served by ESGF

description: 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: noVolc1975 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/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. noVolc1975 (1.3 hindcast without volcanoes (1975)) - Version 3: Hindcast without volcanoes. Additional 10yr run for experiment 1.1 from 1975 without including the Agung, El Chichon and Pinatubo eruptions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html 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 ( https://pcmdi.llnl.gov/mips/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 .
DOI: 10.1594/wdcc/cmip5.mxelv9
title: CMIP5 simulations of the Max Planck Institute for Meteorology (MPI-M) based on the MPI-ESM-LR model: The noVolc1990 experiment, served by ESGF

description: 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: noVolc1990 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/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. noVolc1990 (1.3 hindcast without volcanoes (1990)) - Version 2: Hindcast without volcanoes. Additional 10yr run for experiment 1.1 from 1990 without including the Agung, El Chichon and Pinatubo eruptions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html 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 ( https://pcmdi.llnl.gov/mips/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 .
DOI: 10.5880/tr32db.3
title: Enhanced Land Use Classification of 2010 for the Rur catchment

description: This data set contains the enhanced land use
      classification of 2010 for the study area of the CRC/Transregio 32: "Patterns in
      Soil-Vegetation-Atmosphere Systems: monitoring, modelling and data assimilation", which
      corresponds to the catchment of the river Rur. The study area is mainly situated in the
      western part of North Rhine-Westphalia (Germany) and parts of the Netherlands and Belgium. The
      land use classification is derived from supervised, multi temporal remote sensing data
      analysis using RapidEye and Landsat 5 TM. For the land use analysis datasets of the following
      acquisition dates were used from RapidEye: May 23, May 20, July 07, July 08 and July 10. From
      Landsat 5 a dataset of August 14 was incorporated. Full coverage of the study area was not
      available for all acquisition dates. To enhance the information content of the land use data
      product, the Multi-Data Approach (MDA) was used to combine the remote sensing derived land use
      information with additional data sets like the 'Authorative Topographic-Cartographic
      Information System' (ATKIS Basic-DLM, AAA schema) and 'Physical Block' information. The
      classification is provided in GeoTIFF and in ASCII format. Spatial resolution: 15 m;
      projection: WGS84, UTM Zone 32N.
DOI: 10.5281/zenodo.3961821
title: Recombination between SARS-CoV-2 "strains": The possibility of the emergence of more or less virulent "strains" of the virus

description: To explore the possibility of genomic recombination a total of 2,611 SARS-CoV-2 sequences were mined from the NCBI Virus resource. Multiple sequence alignment and recombination analysis of these sequences were performed using MAFFET and Recombination detection program (RDP) respectively, to determine the emergence of new SARS-CoV-2 viral sequences. We report for the first time, 3 novel recombination events between SARS-CoV-2 sequences, with one event having occurred in 65% of the sequences analysed<em>.</em> Bearing in mind that the prerequisite for recombination is the occurrence of two or more viral sequences in the same reservoir, biological niche or host at the same time, we hypothesized that there was co-infection and or superinfection facilitating recombination in the primary hosts prior to infection of the secondary hosts with the recombinant sequences. Recombination between the SARS-CoV-2 sequences poses the likelihood of the emergence of new more or less virulent “strains” of the virus. We believe that the future of science lies in our ability to be able to use computational based methods to predict the genetic sequences of infectious agents of the next epidemics. The addition of more SARS-CoV-2 sequences has a bearing on our understanding of its origin, hence more SARS-CoV-2 sequences in public databases are needed to elucidate our understanding of this family of viruses.
DOI: 10.5281/zenodo.3961820
title: Recombination between SARS-CoV-2 "strains": The possibility of the emergence of more or less virulent "strains" of the virus

description: To explore the possibility of genomic recombination a total of 2,611 SARS-CoV-2 sequences were mined from the NCBI Virus resource. Multiple sequence alignment and recombination analysis of these sequences were performed using MAFFET and Recombination detection program (RDP) respectively, to determine the emergence of new SARS-CoV-2 viral sequences. We report for the first time, 3 novel recombination events between SARS-CoV-2 sequences, with one event having occurred in 65% of the sequences analysed<em>.</em> Bearing in mind that the prerequisite for recombination is the occurrence of two or more viral sequences in the same reservoir, biological niche or host at the same time, we hypothesized that there was co-infection and or superinfection facilitating recombination in the primary hosts prior to infection of the secondary hosts with the recombinant sequences. Recombination between the SARS-CoV-2 sequences poses the likelihood of the emergence of new more or less virulent “strains” of the virus. We believe that the future of science lies in our ability to be able to use computational based methods to predict the genetic sequences of infectious agents of the next epidemics. The addition of more SARS-CoV-2 sequences has a bearing on our understanding of its origin, hence more SARS-CoV-2 sequences in public databases are needed to elucidate our understanding of this family of viruses.
DOI: 10.1594/wdcc/cmip5.mxelv8
title: CMIP5 simulations of the Max Planck Institute for Meteorology (MPI-M) based on the MPI-ESM-LR model: The noVolc1985 experiment, served by ESGF

description: 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: noVolc1985 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/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. noVolc1985 (1.3 hindcast without volcanoes (1985)) - Version 2: Hindcast without volcanoes. Additional 10yr run for experiment 1.1 from 1985 without including the Agung, El Chichon and Pinatubo eruptions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html 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 ( https://pcmdi.llnl.gov/mips/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 .
DOI: 10.1594/wdcc/cmip5.mxelvo
title: CMIP5 simulations of the Max Planck Institute for Meteorology (MPI-M) based on the MPI-ESM-LR model: The volcIn2010 experiment, served by ESGF

description: 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: volcIn2010 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/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. volcIn2010 (1.4 decadal prediction with 2010 volcano) - Version 3: Pinatubo-like eruption imposed. Repeat of the experiment 1.1 2005 forecast with an imposed "Pinatubo" eruption in 2010. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html 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 ( https://pcmdi.llnl.gov/mips/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 .
DOI: 10.5284/1017461
title: Coastal shell middens and agricultural origins in Atlantic Europe

description: This project was funded by the AHRB from 2002-2005. It aimed to examine the role of marine resources and especially shellfish in the diet and economy of prehistoric hunters and gatherers living in Northwest Europe between about 8000 and 5000 years ago and the influence of these patterns on the spread and adoption of agriculture after about 5000 years ago. The archive presents the database which was constructed for Naomi Belshaw's PhD project on the distribution of coastal sites in Scotland between 9000 and 3000 cal BC in relation to sea level change, resource availability and past archaeological research.