cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24125199.v1
title: Supplementary Material for: Proposal of the second cutoff of serum carcinoembryonic antigen levels to stratify patients into low, intermediate, and high risks at recurrences after curative resection of gastric cancer

description: Introduction: Carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) are widely used for various cancers, with the cut-off values of 5.0 ng/mL and 37.0 IU/mL, respectively. However, these cutoff values are not for specific diseases or purposes but are uniformly used for any disease and any purpose . It is also unclear as to whether patients are at equal risk of recurrence if they are below the cutoff values. This study aimed to investigate the optimal cutoff of serum tumor markers in the stratification of recurrence risk after curative resection of gastric cancer. Methods: We constructed a nine-center integrated database of patients recieved gastrectomy between January 2010 and December 2014 with a 5-year follow-up period. We determined the cutoff value of preoperative serum tumor marker levels correlated with postoperative recurrences and evaluated its performance in risk stratification for recurrences in 948 patients with pStage II/III gastric cancer who underwent radical resection. Results: The hazard ratio for postoperative recurrences increased at two points of preoperative CEA levels; 3.6 ng/mL and 5.0 ng/mL, which were set as cutoffs. These two cutoffs stratified relapse-free survival into three levels. Conclusions: By adding a second cutoff value for preoperative serum CEA, which was proposed specifically for the prediction of recurrences, patients can be stratified into low-, intermediate-, and high-risk recurrences after curative resection of gastric cancer.
DOI: 10.5281/zenodo.7843020
title: Global Rainfall Erosivity database (GloREDa)

description: Table with the data of annual rainfall erosivity and auxiliary information for 3,939 stations. Table with the data of monthly erosivity. Shape file with all the stations and their erosivity values. 12 Raster (GeoTIFF) with global monthly erosivity at 1km x 1km resolution Relevant publication to cite for those datasets: Panagos, P., Hengl, T., Wheeler, I., Marcinkowski, P., Rukeza, M.B., Yu, B., Yang, J.E., Miao, C., Chattopadhyay, N., Sadeghi, S.H. and Levi, Y., et al. 2023. Global Rainfall Erosivity database (GloREDa) and monthly R-factor data at 1km spatial resolution. <em>Data in Brief</em>, <strong>50</strong>, Art.no.109482. DOI: 10.1016/j.dib.2023.109482
description: Relevant publication to cite for those datasets: Panagos, P., Hengl, T., Wheeler, I., Marcinkowski, P., Rukeza, M.B., Yu, B., Yang, J.E., Miao, C., Chattopadhyay, N., Sadeghi, S.H. and Levi, Y., et al. 2023. Global Rainfall Erosivity database (GloREDa) and monthly R-factor data at 1km spatial resolution. Data in Brief, 50, Art.no.109482. DOI: 10.1016/j.dib.2023.109482
DOI: 10.1594/wdcc/modis__arctic__mpf
title: Gridded Melt Pond Cover Fraction on Arctic Sea Ice derived from TERRA-MODIS 8-day composite Reflectance Data

description: Project: Integrated Climate System Analysis and Prediction - Within CliSAP (Integrated Climate System Analysis and Prediction) the ongoing and past changes of state of the climate system are analysed, in response to natural and anthropogenic perturbations. The goal set is the determination of predictable elements of the climate system over a broad range of space and time scales as well as of uncertainties intrinsic to predictions of important climate system and environmental indices. In terms of regional consequences of climate change, potential impacts of such changes on humans are quantified, including economy, security and their environment, with a focus on Northern Europe. CliSAP is the Cluster of Excellence at the University of Hamburg funded by the DFG (Deutsche Forschungsgesellschaft) and under the participation of the Max Planck Institute for Meteorology, the Institute for Coastal Research of the GKSS Research Centre, and the German Climate Computing Centre (DKRZ): http://www.clisap.de/ , https://www.klimacampus-hamburg.de . Summary: Reflectances measured in the visible frequency range at three channels of the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Earth Observation Satellite (EOS) TERRA were used to derive the melt pond fraction on Arctic sea ice using an artificial neural network. This analysis was done on reflectances gridded onto a polar-stereographic grid tangent to the Earths' surface at 70 deg N with 500 m grid resolution. The reflectances used originate from the 8-day composite reflectances provided via https://wist.echo.nasa.gov/api/ as product: "MODIS surface Reflectance 8-Day L3 Global 500m SIN Grid V005". After gridding and flagging for clouds and other disturbances the artificial neural network was applied, providing fractions of three surface classes: 1) melt ponds, 2) sea ice and snow, and 3) open water at 500 m grid resolution. This data has been interpolated onto a similar polar-stereographic grid but with 12.5 km grid resolution. The data set offered here comprises several data layers: the melt pond fraction, its standard deviation, the open water fraction, and the number of individual valid grid cells with 500 m grid resolution included in each 12.5 km grid cell. In addition, in three separate data layers melt pond fraction, its standard deviation, and the open water fraction are given only for those grid cells (with 12.5 km grid resolution) where more than 90 % of the native 500 m grid resolution data indicate clear sky conditions. Grid cells with an open water fraction larger than 85 % have been generally flagged as invalid. The data set is updated annually.
DOI: 10.5880/tr32db.4
title: Enhanced land use classification of 2011 for the Rur catchment, preliminary
      results

description: This data set contains the preliminary land use
      classification of 2011 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
      classification is provided in GeoTIFF and in ASCII format. Spatial resolution: 15 m;
      projection: WGS84, UTM Zone 32N.
DOI: 10.4231/d3gb1xh1p
title: SCPT10_Hornsby_Bend_Site

description: A total of 10 Seismic Cone Penetration Tests (SCPT) were conducted at the Hornsby Bend Test Site at various sensor and shaker locations shown Experiment 9, 10, 11, 12, 13, and 14. Details of the test procedures can be found in Kim, 2012, ?Development of the Spectral-Analysis-of-Body-Waves (SABW) Method for Downhole Seismic Testing with Boreholes or Penetrometers?. This SCPT test is conducted at SCPT location #10 (SCPT0_T_2010) which is 10 m east of the center point.
DOI: 10.4231/d35t3g02v
title: Vertical excitation with Thumper at Site 2

description: Thumper imparted vertical excitations directly above the embedded sensor array at varying levels of dynamic load amplitude.
DOI: 10.4231/d3pv6b69d
title: Crosshole and downhole seismic tests (part 1) at Site 1

description: Traditional downhole and crosshole seismic tests were performed at various levels of static load.  Static load was applied to the concrete footing using TRex as a reaction mass.
DOI: 10.4231/d3tm72135
title: Vertical excitation with Thumper at Site 1

description: Thumper imparted vertical excitations directly above the embedded sensor array at varying levels of dynamic load amplitude.
DOI: 10.5281/zenodo.6951
title: The Mpi-Mainz Uv/Vis Spectral Atlas Of Gaseous Molecules

description: This archive contains a frozen snapshot of all cross section and
quantum yield data files from the MPI-Mainz UV/VIS Spectral Atlas of
Gaseous Molecules. To view the data, open the files cross_sections.html
and quantum_yields.html in your browser.

The up-to-date version of the Spectral Atlas is available at:

http://www.uv-vis-spectral-atlas-mainz.org
DOI: 10.5880/tr32db.5
title: Modelled LAI of Maize, Sugar Beet, Winter Wheat and Winter Barley for the northern part
      of the Rur catchment (2009)

description: LAI was modelled for arable land in the northern part of
      the Rur catchment (fertile loess plain) for the year 2009. Modelled crops are Winter Wheat,
      Sugar Beet, Maize, and Winter Barley. Data was modelled using the dynamically coupled
      process-oriented ecohydrological models from the DANUBIA simulation system using the
      configuration described by Korres at al. (2013, doi:10.1016/j.jhydrol.2013.05.050). This paper
      does also provide model validation data for LAI.
DOI: 10.5284/1019859
title: The Bosworth Battlefield Project

description: In 2004, for Leicestershire County Council and the Battlefields Trust, Glenn Foard undertook an assessment of the current state of knowledge of Bosworth battlefield. Between 2005-2010, with funding from the HLF and additional support in kind from LCC and the Universities of Huddersfield and Leeds, an investigation was undertaken to locate and characterise the 1485 Bosworth battlefield. Glenn Foard led an interdisciplinary team comprising historians, palaeo-environmentalists, a soil scientist and a place name scholar, working alongside various archaeologists and a dedicated group of volunteers. This involved metal detecting survey and related finds analysis, historic terrain reconstruction in GIS based on documentary and physical evidence, re-analysis of the primary sources for the battle and the campaign and geophysical survey. All the data was integrated and analysed in GIS. The archive is wholly digital and comprises specialist reports on each aspect of the research.
DOI: 10.1594/wdcc/cmip5.fifihi
title: FIO-ESM model output prepared for CMIP5 historical, 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: 'historical' 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. 3.2 historical (3.2 Historical): Simulation of recent past (1850 to 2005). Impose changing conditions (consistent with observations). Experiment design is described in detail in https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html and the list of output variables and their temporal resolutions are given in https://pcmdi.llnl.gov/mips/cmip5/datadescription.html . The output is stored in netCDF format as time series per variable in model grid spatial resolution. For more information on the Earth System model and the simulation please refer to the CIM repository. There are five component models: atmosphere, surface land, ocean, sea ice and surface wave models.
DOI: 10.1594/wdcc/cmip5.fifipc
title: FIO-ESM model output prepared for CMIP5 pre-industrial control, 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: piControl 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. 3.1 piControl (3.1 Pre-Industrial Control) - Version 1: Pre-Industrial coupled atmosphere/ocean control run. Imposes non-evolving pre-industrial conditions. 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 . There are five component models: atmosphere, surface land, ocean, sea ice and surface wave models.
DOI: 10.1594/wdcc/cmip5.fifir2
title: FIO-ESM model output prepared for CMIP5 RCP2.6, 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: rcp26 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. 4.3 rcp26 (4.3 RCP2.6) - Version 1: Future projection (2006-2100) forced by RCP2.6. RCP2.6 is a representative concentration pathway which approximately results in a radiative forcing of 2.6 W m-2 at year 2100, relative to pre-industrial conditions. 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 . There are five component models: atmosphere, surface land, ocean, sea ice and surface wave models.
DOI: 10.1594/wdcc/cmip5.fifir4
title: FIO-ESM model output prepared for CMIP5 RCP4.5, 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: rcp45 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. 4.1 rcp45 (4.1 RCP4.5): Future projection (2006-2100) forced by RCP4.5. RCP4.5 is a representative concentration pathway which approximately results in a radiative forcing of 4.5 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 is described in detail in https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html and the list of output variables and their temporal resolutions are given in https://pcmdi.llnl.gov/mips/cmip5/datadescription.html . The output is stored in netCDF format as time series per variable in model grid spatial resolution. For more information on the Earth System model and the simulation please refer to the CIM repository. There are five component models: atmosphere, surface land, ocean, sea ice and surface wave models.
DOI: 10.1594/wdcc/cmip5.fifir6
title: FIO-ESM model output prepared for CMIP5 RCP6, 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: "rcp60" 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. 4.4 rcp60 (4.4 RCP6) - Version 1: Future projection (2006-2100) forced by RCP6. RCP6 is a representative concentration pathway which approximately results in a radiative forcing of 6 W m-2 at year 2100, relative to pre-industrial conditions. 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. There are five component models: atmosphere, surface land, ocean, sea ice and surface wave models.
DOI: 10.1594/wdcc/cmip5.fifir8
title: FIO-ESM model output prepared for CMIP5 RCP8.5, 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: rcp85 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. 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: 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 . There are five component models: atmosphere, surface land, ocean, sea ice and surface wave models.
DOI: 10.1594/wdcc/cmip5.iegehi
title: INPE: HadGEM2-ES model output prepared for CMIP5 historical, 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: 'historical' 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. 3.2 historical (3.2 Historical): Simulation of recent past (1850 to 2005). Impose changing conditions (consistent with observations). 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 . Member number five of the HadGEM2-ES historical experiment, run by INPE.