cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.11583/dtu.21836652
title: Data for "Thermo-hydro-mechanical-chemical coupling in chalk reservoirs: Impact on fluid flow and deformation during water injection"

description: Normalized p_c0 (NF_pc) and Normalized Bulk Modulus (NF_E) surfaces versus sulfate concentration and temperature (units can be found in the text files)
DOI: 10.26050/wdcc/ar6.c6cmnggfd
title: IPCC DDC: NOAA-GFDL GFDL-AM4 model output

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.NOAA-GFDL.GFDL-AM4' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The GFDL-AM4 climate model, released in 2018, includes the following components: aerosol: interactive, atmos: GFDL-AM4.0 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 33 levels; top level 1 hPa), atmosChem: fast chemistry, aerosol only, land: GFDL-LM4.0, landIce: GFDL-LM4.0. The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6cmnggfc
title: IPCC DDC: NOAA-GFDL GFDL-CM4 model output

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.NOAA-GFDL.GFDL-CM4' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The GFDL-CM4 climate model, released in 2018, includes the following components: aerosol: interactive, atmos: GFDL-AM4.0.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 33 levels; top level 1 hPa), atmosChem: fast chemistry, aerosol only, land: GFDL-LM4.0.1 (1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 20 levels; bottom level 10m); land-Veg:unnamed (dynamic vegetation, dynamic land use); land-Hydro:unnamed (soil water and ice, multi-layer snow, rivers and lakes), landIce: GFDL-LM4.0.1, ocean: GFDL-OM4p25 (GFDL-MOM6, tripolar - nominal 0.25 deg; 1440 x 1080 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: GFDL-BLINGv2, seaIce: GFDL-SIM4p25 (GFDL-SIS2.0, tripolar - nominal 0.25 deg; 1440 x 1080 longitude/latitude; 5 layers; 5 thickness categories). The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 25 km, ocnBgchem: 25 km, seaIce: 25 km.
DOI: 10.26050/wdcc/ar6.c6cmnggfe
title: IPCC DDC: NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 CMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.NOAA-GFDL.GFDL-ESM4' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The GFDL-ESM4 climate model, released in 2018, includes the following components: aerosol: interactive, atmos: GFDL-AM4.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 49 levels; top level 1 Pa), atmosChem: GFDL-ATMCHEM4.1 (full atmospheric chemistry), land: GFDL-LM4.1, landIce: GFDL-LM4.1, ocean: GFDL-OM4p5 (GFDL-MOM6, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: GFDL-COBALTv2, seaIce: GFDL-SIM4p5 (GFDL-SIS2.0, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 5 layers; 5 thickness categories). The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 km.
DOI: 10.26050/wdcc/ar6.c6cmnggfeeh
title: IPCC DDC: NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 CMIP esm-hist

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.NOAA-GFDL.GFDL-ESM4.esm-hist' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The GFDL-ESM4 climate model, released in 2018, includes the following components: aerosol: interactive, atmos: GFDL-AM4.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 49 levels; top level 1 Pa), atmosChem: GFDL-ATMCHEM4.1 (full atmospheric chemistry), land: GFDL-LM4.1, landIce: GFDL-LM4.1, ocean: GFDL-OM4p5 (GFDL-MOM6, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: GFDL-COBALTv2, seaIce: GFDL-SIM4p5 (GFDL-SIS2.0, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 5 layers; 5 thickness categories). The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 km.
DOI: 10.6084/m9.figshare.23812830.v5
title: Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiratio

description: Regridding Global CMIP6 GCMs dataset(0.5 degree)Historical dataset:14 CMIP6 GCMs (1850-2014)Future dataset: 14CMIP6 GCMs and 4 SSP scenarios (2015-2100)Composition of dataset: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiationIf you are using our codes and dataset, please use the following references:Song, Y.H., Chung, E.S., Shahid, S., Kim, Y.J., Kim, D.K. 2023. Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiration. Scientific Data.<br>
DOI: 10.6084/m9.figshare.22802981
title: Experimental data for "Quantum simulation of Hawking radiation and curved spacetime with a superconducting on-chip black hole"

description: We simulate both flat and curved spacetimes in a 1D array of 10 superconducting qubits with tunable couplers. The experimental data of Figure 2 shows the quantum walks in flat and curved spacetimes with four different initial states. The quantum walks of quasi-particle in the curved spacetime reflect the gravitational effect near the black hole, resulting in the behaviour of Hawking radiation. By virtue of the state tomography measurement of all 7 qubits outside the analogue event horizon, we show that the stimulated Hawking radiation can be verified. The experimental data of Figure 3 includes the density matrix of the 7 qubits and the radiation probabilities. In addition, an entangled pair is prepared inside the horizon. The entanglement evolutions of flat and curved spacetime are compared in Figure 4. Our results would stimulate more interests to explore the related features of black holes using the programmable superconducting processor with tunable couplers.
DOI: 10.6084/m9.figshare.22802981.v1
title: Experimental data for "Quantum simulation of Hawking radiation and curved spacetime in a superconducting on-chip black hole"

description: We simulate both flat and curved spacetimes in a 1D array of 10 superconducting qubits with tunable couplers. The experimental data of Figure 2 shows the quantum walks in flat and curved spacetimes with four different initial states. The quantum walks of quasi-particle in the curved spacetime reflect the gravitational effect near the black hole, resulting in the behaviour of Hawking radiation. By virtue of the state tomography measurement of all 7 qubits outside the analogue event horizon, we show that the stimulated Hawking radiation can be verified. The experimental data of Figure 3 includes the density matrix of the 7 qubits and the radiation probabilities. In addition, an entangled pair is prepared inside the horizon. The entanglement evolutions of flat and curved spacetime are compared in Figure 4. Our results would stimulate more interests to explore the related features of black holes using the programmable superconducting processor with tunable couplers.
DOI: 10.5281/zenodo.7584708
title: Shear modulus reduction and damping ratio curves collected from multiple literature sources available in Italy

description: <em>Data</em> are 485 G/G<sub>0 </sub>(γ) and damping ratio, D(γ) curves collected from multiple literature sources available in Italy. Each curve was associated with the related engineering geological units considered in seismic microzonation studies. The data focus on providing reference information that can serve as key data for large-scale hazard assessments worldwide and to guide the translation of information from the laboratory scale to the scale of geological-engineering cross-sections.
description: {"references": ["I. Gaudiosi, G. Romagnoli, D. Albarello, C. Fortunato, P. Imprescia, F. Stigliano, M. Moscatelli. G\\G0(g) and D(g) curves joined with engineering geological units in Italy, submitted to Scientific Data."]}
DOI: 10.5281/zenodo.7584707
title: Shear modulus reduction and damping ratio curves collected from multiple literature sources available in Italy

description: <em>Data</em> are 485 G/G<sub>0 </sub>(γ) and damping ratio, D(γ) curves collected from multiple literature sources available in Italy. Each curve was associated with the related engineering geological units considered in seismic microzonation studies. The data focus on providing reference information that can serve as key data for large-scale hazard assessments worldwide and to guide the translation of information from the laboratory scale to the scale of geological-engineering cross-sections.
description: In the ver.3, all the average curves are updated to delete numerical precision problems.
description: {"references": ["I. Gaudiosi, G. Romagnoli, D. Albarello, C. Fortunato, P. Imprescia, F. Stigliano, M. Moscatelli. G\\G0(g) and D(g) curves joined with engineering geological units in Italy, submitted to Scientific Data."]}
DOI: 10.5281/zenodo.7991025
title: Shear modulus reduction and damping ratio curves collected from multiple literature sources available in Italy

description: <em>Data</em> are 485 G/G<sub>0 </sub>(γ) and damping ratio, D(γ) curves collected from multiple literature sources available in Italy. Each curve was associated with the related engineering geological units considered in seismic microzonation studies. The data focus on providing reference information that can serve as key data for large-scale hazard assessments worldwide and to guide the translation of information from the laboratory scale to the scale of geological-engineering cross-sections.
description: In the ver.2, all the 0 values of the raw folders are now substituted with a NaN value. The metadata file of ver.2 includes, when available: the confining pressure p' at which the test was performed, the loading frequency f, G at the lowest tested strain level before the normalization procedure, the OCR.
description: {"references": ["I. Gaudiosi, G. Romagnoli, D. Albarello, C. Fortunato, P. Imprescia, F. Stigliano, M. Moscatelli. G\\G0(g) and D(g) curves joined with engineering geological units in Italy, submitted to Scientific Data."]}
DOI: 10.5281/zenodo.8134979
title: Shear modulus reduction and damping ratio curves collected from multiple literature sources available in Italy

description: <em>Data</em> are 485 G/G<sub>0 </sub>(γ) and damping ratio, D(γ) curves collected from multiple literature sources available in Italy. Each curve was associated with the related engineering geological units considered in seismic microzonation studies. The data focus on providing reference information that can serve as key data for large-scale hazard assessments worldwide and to guide the translation of information from the laboratory scale to the scale of geological-engineering cross-sections.
description: In the ver.3, all the average curves are updated to delete numerical precision problems.
description: {"references": ["I. Gaudiosi, G. Romagnoli, D. Albarello, C. Fortunato, P. Imprescia, F. Stigliano, M. Moscatelli. G\\G0(g) and D(g) curves joined with engineering geological units in Italy, submitted to Scientific Data."]}
DOI: 10.5282/ubm/data.394
title: Microscope images of microremains from human dental calculus from Middle Bronze Age II and Iron Age III/Persian-Hellenistic Periods from Tell Kamid el-Loz (Lebanon)

description: The following files contain all the microscope pimages taken during the analysis of the HDC from burials from Tell Kamid el-Loz as part of PEKULI Project (PEKULI: Vielfalt und Dynamik der ostmediterranen Ernährung in der Bronze- und Eisenzeit) funded by the German Bundesministerium für Bildung und Forschung (BMBF) as part of the „Kleine Fächer – Große Potenziale“ funding program in the humanities and social sciences, grant agreement No. 01UL1918X granted to Dr. Shira Gur-Arieh. Additional information about the samples and methodology can be found at Gur-Arieh et al. (Submitted) Gur-Arieh, S., Eisenmann, S., Henry, AG., Lucas, M., Lenz, D., Paxinos, P., Weber, H., Morandi, LF., Stone, J., Schultz, M., Roberts, P., Stockhammer, PW. (Submitted) Reconstructing Dietary Practices at Tell Kamid el-Loz (Lebanon) during the Bronze and Iron Age III/Persian to Hellenistic Periods, Using Plant Micro-remains from Dental Calculus and Stable Isotope Analysis of Bone Collagen. Archaeological and Anthropological Science.
DOI: 10.15151/esrf-es-1118655634
title: The Iberian cryoEM community BAG

description: The Iberian cryoEM BAG is a large consortium (&gt; 30 groups) composed of Portuguese and Spanish groups working in biologically relevant problems including disease related metabolic enzymes, antibiotic resistance, DNA replication and DNA maintenance, protein synthesis, virus structure and mechanisms, and macromolecular complexes involved in the control of key cellular processes like protein folding and degradation.
DOI: 10.26050/wdcc/ar6.c6cmnuines
title: IPCC DDC: NUIST NESMv3 model output prepared for CMIP6 CMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.NUIST.NESM3' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NUIST ESM v3 climate model, released in 2016, includes the following components: atmos: ECHAM v6.3 (T63; 192 x 96 longitude/latitude; 47 levels; top level 1 Pa), land: JSBACH v3.1, ocean: NEMO v3.4 (NEMO v3.4, tripolar primarily 1deg; 384 x 362 longitude/latitude; 46 levels; top grid cell 0-6 m), seaIce: CICE4.1. The model was run by the Nanjing University of Information Science and Technology, Nanjing, 210044, China (NUIST) in native nominal resolutions: atmos: 250 km, land: 2.5 km, ocean: 100 km, seaIce: 100 km.
DOI: 10.17864/1947.000470
title: Evaluating an early social communication intervention for young children with Down Syndrome: a feasibility study (ASCEND)

description: This feasibility study aims to estimate the parameters to inform a future randomised controlled trial to test whether an early social communication intervention is effective in improving language skills in young children with Down Syndrome. In a two-arm randomised controlled trial (RCT), with 1:1 randomisation stratified by trial site, children were allocated to receive either the intervention plus standard NHS speech and language therapy, or standard NHS speech and language therapy only. In the intervention arm, parents/guardians received brief training videos on the parent-based intervention, a manual to follow with their child, a bag of toys and parent diaries. The intervention lasted 10 weeks. Twenty children with Down Syndrome, aged between 11 and 36 months were recruited into the trial and 19 were randomised. The dataset contains the baseline, post-treatment and 6 month follow-up data from 9 participants receiving the intervention (in addition to standard NHS speech and language therapy) and 10 control participants receiving standard NHS speech and language therapy only.