cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/wdcc/coastdat-1_hamsom
title: coastDat-1 HAMSOM baroclinic hydrodynamic hindcast (1948-2007) North Sea

description: Project: coastDat-1 - CoastDat (http://www.coastdat.de/about_us/index.php) comprises a compilaton of coastal analyses (that is hindcasts and reconstructions) and scenarios for the future obtained from numerical models. The objective is to provide a consistent meteorological-marine data set. Summary: The experiment contains baroclinic hindcast simulations of the North Sea by the hydrodynamic model HAMSOM (Pohlmann, 2006) for the period 1948-2007. HAMSOM was set up at a spatial resolution of 20' x 12' and with 19 vertical levels (5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 60, 75, 100, 150, 200, 250, 350, 600 and 1000m, lower boundary level). The data-set contains hourly output of temperature, salinity, u- and v-component (3-dim) and water level (2-dim). At the open boundaries, lateral boundary conditions are obtained from a coarser, large-scale Northwest-European shelf sea model driven by climatological temperature and salinity obtained from Levitus (1982). For water levels, in addition the eight significant tidal constituents (M2, S2, N2, K2, K1, O1, Q1 and P1) are included and weather effects are accounted for by using wind and pressure fields from the NCEP/NCAR Reanalysis 1 (Kalnay et al., 1996). Due to technical reasons at the lateral boundaries the water level was added by 0.5m. Atmospheric forcing was obtained from NCEP/NCAR Reanalysis 1 data-set comprising near-surface air-temperature, humidity, cloud cover, precipitation, sea level pressure and near surface wind speed and direction. The output format is netCDF.
DOI: 10.1594/wdcc/coastdat-1_tide-surge
title: coastDat-1 Tide-Surge North Sea hydrodynamic hindcast (1958-2004)

description: Project: coastDat-1 - CoastDat (http://www.coastdat.de/about_us/index.php) comprises a compilaton of coastal analyses (that is hindcasts and reconstructions) and scenarios for the future obtained from numerical models. The objective is to provide a consistent meteorological-marine data set. Summary: The data are from a multi-decadal tide-surge hindcast 1958-2004 for the North Sea using the TELEMAC2D model. Data (sea surface elevation, depth averaged currents) are available every hour on an unstructured grid with about 27,000 nodes and varying resolution ranging from about 5 km in the open North Sea to about 75m near the coast and within estuarys. The model was driven by hourly atmospheric data from a multi-decadal atmospheric hindcast ( http://cera-www.dkrz.de/WDCC/ui/Entry.jsp?acronym=coastDat-1_SN-REMO ) and, at the open boundries, by the most relevant tidal constituents. In addition, hourly sea level data from Aberdeen were assimilated at the Northern boundary to account for external surges.
DOI: 10.1594/wdcc/coastdat-1_waves
title: coastDat-1 Waves North Sea wave spectra hindcast (1948-2007)

description: Project: coastDat-1 - CoastDat (http://www.coastdat.de/about_us/index.php) comprises a compilaton of coastal analyses (that is hindcasts and reconstructions) and scenarios for the future obtained from numerical models. The objective is to provide a consistent meteorological-marine data set. Summary: The data are from multi-decadal hindcast simulation with the wave model WAM 4.5 covering the Southern North Sea (51-56.5 N and -3W-10.5E) using a grid size of about 5,5x5.5 km (0.05 degrees latitude x 0.10 degrees longitude). The hindcast covers the period 1948-2007. Integrated parameter derived from 2D spectra are available every hour; the wave spectra themselves are available with a 3-hour time step. Atmospheric forcing was obtained from an atmospheric hindcast with SN-REMO driven by the NCEP/NCAR Reanalysis 1 data set. Lateral boundary conditions were obtained from corresponding coarse grid hindcast covering most of the Northeast Atlantic driven by the same atmospheric forcing.
DOI: 10.5284/1017082
title: Engendering Roman Military Spaces

description: The research project 'Engendering Roman Military Spaces', investigates socio-spatial behaviour inside Roman military forts during the early Empire. It uses the distribution of artefacts found in forts in the German provinces to analyse the activities carried out within the various components of these forts. It then investigates the relationships between these spaces and the members of these communities - both soldier and non-soldier - who were likely to have been engaged in these activities. In so doing it develops better understandings of the complexity of the daily life within such military establishments. It focuses particularly on evidence for women and children and on their roles within these military domains.
DOI: 10.5284/1017128
title: Chalcolithic and Early Bronze Age Burials in Northeast England

description: This dataset records the key information pertaining to each of the mortuary deposits. This includes details of the contents of the deposit, any associated architecture, and the location of the deposit. The contents documented include human remains, artefacts and any materials recorded in the source literature. Where material from the deposit has been radiocarbon dated relevant details are provided. The features in which the deposit was placed are detailed, as are any associated monuments and/or natural features. The local landscape is described, and national grid references as well as data ready for importation into GIS software are provided. The primary sources used to compile each entry are listed. An estimation for the probable date range in which the deposit was made is also provided. The data is contained within an excel spreadsheet. The spreadsheet is accompanied by notes on the interpretation of information in specific fields.
DOI: 10.1594/wdcc/cmip5.mxelc1
title: CMIP5 simulations of the Max Planck Institute for Meteorology (MPI-M) based on the MPI-ESM-LR model: The 1pctCO2 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: '1pctCo2' 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. 6.1 1pctCo2 (6.1 1 percent per year CO2) - Version 1: Idealized 1% per year increase in atmospheric CO2 to quadrupling. 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.mxelc2
title: CMIP5 simulations of the Max Planck Institute for Meteorology (MPI-M) based on the MPI-ESM-LR model: The abrupt4xCO2 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: 'abrupt4xco2' 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. 6.3 abrupt4xco2 (6.3 Abrupt 4XCO2) - Version 1: Impose an instantaneous quadrupling of CO2, then hold fixed. 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: 10.5517/ccdc.csd.cc21dr29
title: CCDC 1889080: Experimental Crystal Structure Determination

description: Related Article: Abani Sarkar, Aratrika Chakraborty, Tonmoy Chakraborty, Suranjana Purkait, Debabrata Samanta, Suvendu Maity, Debasis Das|2020|Inorg.Chem.|59|9014|doi:10.1021/acs.inorgchem.0c00857
DOI: 10.5517/ccdc.csd.cc21dr3b
title: CCDC 1889081: Experimental Crystal Structure Determination

description: Related Article: Abani Sarkar, Aratrika Chakraborty, Tonmoy Chakraborty, Suranjana Purkait, Debabrata Samanta, Suvendu Maity, Debasis Das|2020|Inorg.Chem.|59|9014|doi:10.1021/acs.inorgchem.0c00857
DOI: 10.5517/ccdc.csd.cc247wdp
title: CCDC 1973782: Experimental Crystal Structure Determination

description: Related Article: Abani Sarkar, Aratrika Chakraborty, Tonmoy Chakraborty, Suranjana Purkait, Debabrata Samanta, Suvendu Maity, Debasis Das|2020|Inorg.Chem.|59|9014|doi:10.1021/acs.inorgchem.0c00857
DOI: 10.5517/ccdc.csd.cc25d480
title: CCDC 2007661: Experimental Crystal Structure Determination

description: Related Article: Fang-Fang Shen, Sheng-Yao Dai, Nai-Kei Wong, Shan Deng, Alice Sze-Tsai Wong, Dan Yang|2020|J.Am.Chem.Soc.|142|10769|doi:10.1021/jacs.0c02134
DOI: 10.5517/ccdc.csd.cc2362q4
title: CCDC 1942265: Experimental Crystal Structure Determination

description: Related Article: Wei Wei, Kai Zhang, Xue-Ting Wang, Shao-Wu Du|2020|Inorg.Chim.Acta|511|119840|doi:10.1016/j.ica.2020.119840
DOI: 10.5517/ccdc.csd.cc2362r5
title: CCDC 1942266: Experimental Crystal Structure Determination

description: Related Article: Wei Wei, Kai Zhang, Xue-Ting Wang, Shao-Wu Du|2020|Inorg.Chim.Acta|511|119840|doi:10.1016/j.ica.2020.119840
DOI: 10.5517/ccdc.csd.cc2362s6
title: CCDC 1942267: Experimental Crystal Structure Determination

description: Related Article: Wei Wei, Kai Zhang, Xue-Ting Wang, Shao-Wu Du|2020|Inorg.Chim.Acta|511|119840|doi:10.1016/j.ica.2020.119840
DOI: 10.5517/ccdc.csd.cc25fxg0
title: CCDC 2009372: Experimental Crystal Structure Determination

description: Related Article: Yukihiro Takahashi, Tsubasa Kondo, Seiya Yokokura, Mika Takehisa, Jun Harada, Tamotsu Inabe, Michio M. Matsushita, Kunio Awaga|2020|Cryst.Growth Des.|20|4758|doi:10.1021/acs.cgd.0c00516
DOI: 10.5517/ccdc.csd.cc25fxh1
title: CCDC 2009373: Experimental Crystal Structure Determination

description: Related Article: Yukihiro Takahashi, Tsubasa Kondo, Seiya Yokokura, Mika Takehisa, Jun Harada, Tamotsu Inabe, Michio M. Matsushita, Kunio Awaga|2020|Cryst.Growth Des.|20|4758|doi:10.1021/acs.cgd.0c00516
DOI: 10.5061/dryad.gm367/2
title: Baltic_Cfit_Input

description: Input file for Cfit software. Includes populations geographic distances along the Baltic-Atlantic continuum (see paper) and allele counts for each populations.
DOI: 10.5061/dryad.gm367/3
title: Barents_Cfit_Input

description: Input file for Cfit software. Includes geographic distances for populations along the Barents-Atlantic continuum (see paper) as well as allele counts for each populations.
DOI: 10.1594/wdcc/cmip5.mxepsc
title: CMIP5 simulations of the Max Planck Institute for Meteorology (MPI-M) based on the MPI-ESM-P model: The sstClim 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: 'sstClim' 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. 6.2a sstClim (6.2a Control SST Climatology) - Version 1: AMIP-style experiment with control run climatological SSTs and sea ice. 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.mxel75
title: CMIP5 simulations of the Max Planck Institute for Meteorology (MPI-M) based on the MPI-ESM-LR model: The decadal1975 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: 'decadal1975' 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. 1.1 decadal1975 (1.1 10-year hindcast/prediction initialized in year 1975) - Version 1: 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: 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/rcm_cmip5_decadal2005-lr
title: Regional Climate Modelling forcing Data from CMIP5 simulations of the Max Planck Institute for Meteorology (MPI-M) based on the MPI-ESM-LR model: The decadal2005 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 decadal2005. The decadal2005 experiment covers the years 2006-2035. The members start from different states in late 2005 (1 day apart) of an assimilated historical run (realisation 1).
DOI: 10.1594/wdcc/cmip5.mxel90
title: CMIP5 simulations of the Max Planck Institute for Meteorology (MPI-M) based on the MPI-ESM-LR model: The decadal1990 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: decadal1990 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. 1.1 decadal1990 (1.1 10-year hindcast/prediction initialized in year 1990) - Version 1: 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: 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/rcm_cmip5_decadal2005-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 decadal2005 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 decadal2005. The decadal2005 experiment covers the years 2006-2035. The members start from different states in late 2005 (1 day apart) of an assimilated historical run (realisation 1).