cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26050/wdcc/ar6.c6cmimimilhb
title: IPCC DDC: MIROC MIROC-ES2L model output prepared for CMIP6 C4MIP hist-bgc

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.C4MIP.MIROC.MIROC-ES2L.hist-bgc' 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 MIROC-ES2L climate model, released in 2018, includes the following components: aerosol: SPRINTARS6.0, atmos: CCSR AGCM (T42; 128 x 64 longitude/latitude; 40 levels; top level 3 hPa), land: MATSIRO6.0+VISIT-e ver.1.0, ocean: COCO4.9 (tripolar primarily 1deg; 360 x 256 longitude/latitude; 63 levels; top grid cell 0-2 m), ocnBgchem: OECO ver.2.0; NPZD-type with C/N/P/Fe/O cycles, seaIce: COCO4.9. The model was run by the JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan) (MIROC) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, land: 500 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6cmimimil
title: IPCC DDC: MIROC MIROC-ES2L model output prepared for CMIP6 C4MIP

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.C4MIP.MIROC.MIROC-ES2L' 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 MIROC-ES2L climate model, released in 2018, includes the following components: aerosol: SPRINTARS6.0, atmos: CCSR AGCM (T42; 128 x 64 longitude/latitude; 40 levels; top level 3 hPa), land: MATSIRO6.0+VISIT-e ver.1.0, ocean: COCO4.9 (tripolar primarily 1deg; 360 x 256 longitude/latitude; 63 levels; top grid cell 0-2 m), ocnBgchem: OECO ver.2.0; NPZD-type with C/N/P/Fe/O cycles, seaIce: COCO4.9. The model was run by the JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan) (MIROC) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, land: 500 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.5281/zenodo.8233518
title: Lineage And Outgroup Reference Set

description: This is a reference set that includes genomes of specific lineages as well as outgroups for the building of the phylogenetic trees that are produced by the MAGMA pipeline
DOI: 10.5281/zenodo.8233517
title: Lineage And Outgroup Reference Set

description: This is a reference set that includes genomes of specific lineages as well as outgroups for the building of the phylogenetic trees that are produced by the MAGMA pipeline
DOI: 10.5281/zenodo.8232682
title: Data for "Saturation of destratifying and restratifying instabilities during down front wind events: a case study in the Irminger Sea"

description: This archive contains processed data used in the study "Saturation of destratifying and restratifying instabilities during down front wind events: a case study in the Irminger Sea". We are grateful for the financial support of the Natural Environment Research Council (grants NE/L002612/1 and NE/T013494/1). This work used the ARCHER2 UK National Supercomputing Service (https://www.archer2.ac.uk). We would also like to thank Andrew Coward for providing computational support. The results contain modified Copernicus Climate Change Service information 2020. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains. The results contain modified GEBCO data produced by the GEBCO Compilation Group (2023) GEBCO 2023 Grid (doi:10.5285/f98b053b-0cbc-6c23-e053-6c86abc0af7b)
description: {"references": ["GEBCO Compilation Group (2023) GEBCO 2023 Grid (doi:10.5285/f98b053b-0cbc-6c23-e053-6c86abc0af7b)", "Copernicus Climate Change Services (C3S) (2023). Era5 hourly data on single levels from 1940 to present.581 Copernicus Climate Change Service (C3S) Climate Data Store (CDS). doi: https://doi.org/10.24381/cds.adbb2d47", "Hersbach, Hans, Bill Bell, Paul Berrisford, Shoji Hirahara, Andr\u00e1s Hor\u00e1nyi, Joaqu\u00edn Mu\u00f1oz\u2010Sabater, Julien Nicolas, et al. 2020. 'The ERA5 Global Reanalysis'. Quarterly Journal of the Royal Meteorological Society 146 (730): 1999\u20132049. https://doi.org/10.1002/qj.3803."]}
DOI: 10.5281/zenodo.8232681
title: Data for "Saturation of destratifying and restratifying instabilities during down front wind events: a case study in the Irminger Sea"

description: This archive contains processed data used in the study "Saturation of destratifying and restratifying instabilities during down front wind events: a case study in the Irminger Sea". We are grateful for the financial support of the Natural Environment Research Council (grants NE/L002612/1 and NE/T013494/1). This work used the ARCHER2 UK National Supercomputing Service (https://www.archer2.ac.uk). We would also like to thank Andrew Coward for providing computational support. The results contain modified Copernicus Climate Change Service information 2020. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains. The results contain modified GEBCO data produced by the GEBCO Compilation Group (2023) GEBCO 2023 Grid (doi:10.5285/f98b053b-0cbc-6c23-e053-6c86abc0af7b)
description: {"references": ["GEBCO Compilation Group (2023) GEBCO 2023 Grid (doi:10.5285/f98b053b-0cbc-6c23-e053-6c86abc0af7b)", "Copernicus Climate Change Services (C3S) (2023). Era5 hourly data on single levels from 1940 to present.581 Copernicus Climate Change Service (C3S) Climate Data Store (CDS). doi: https://doi.org/10.24381/cds.adbb2d47", "Hersbach, Hans, Bill Bell, Paul Berrisford, Shoji Hirahara, Andr\u00e1s Hor\u00e1nyi, Joaqu\u00edn Mu\u00f1oz\u2010Sabater, Julien Nicolas, et al. 2020. 'The ERA5 Global Reanalysis'. Quarterly Journal of the Royal Meteorological Society 146 (730): 1999\u20132049. https://doi.org/10.1002/qj.3803."]}
DOI: 10.26050/wdcc/ar6.c6cmimou0
title: IPCC DDC: MOHC UKESM1.0-LL model output prepared for CMIP6 C4MIP

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.C4MIP.MOHC.UKESM1-0-LL' 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 UKESM1.0-N96ORCA1 climate model, released in 2018, includes the following components: aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), atmosChem: UKCA-StratTrop, land: JULES-ES-1.0, ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: MEDUSA2, seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). The model was run by the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6cmimou0hb
title: IPCC DDC: MOHC UKESM1.0-LL model output prepared for CMIP6 C4MIP hist-bgc

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.C4MIP.MOHC.UKESM1-0-LL.hist-bgc' 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 UKESM1.0-N96ORCA1 climate model, released in 2018, includes the following components: aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), atmosChem: UKCA-StratTrop, land: JULES-ES-1.0, ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: MEDUSA2, seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). The model was run by the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.6084/m9.figshare.23529840
title: Supplementary Material for: Efficacy of PD-1 inhibitors in first-line treatment for advanced gastroesophageal junction and gastric cancer by subgroups: A systematic review and meta-analysis

description: Background PD-1 inhibitors have been approved for the first-line treatment of patients with advanced gastric cancer, gastroesophageal junction cancer or esophageal adenocarcinoma. However, the results of several clinical trials are not entirely consistent, and the dominant population of first-line immunotherapy for advanced gastric/gastroesophageal junction cancer still needs to be precisely determined. Objective This objective of this study is to evaluate the efficacy of anti-PD-1/PD-L1 therapy in advanced gastric/gastroesophageal junction adenocarcinoma patients through a systematic review and meta-analysis of relevant clinical trials. Method The PubMed, Embase, and Cochrane Library electronic databases were searched up to 1 August 2022 for clinical trials of anti-PD-1/PD-L1 immunotherapy for the first-line treatment of advanced gastroesophageal cancer. Hazard ratios and 95% confidence intervals for overall survival, progression-free survival and objective response rates were extracted and pooled for meta-analysis. Prespecified subgroups included the following: agent type, PD-L1 expression, and high microsatellite instability. Results This study analyzed 5 RCTs involving 3355 patients. Compared with the chemotherapy group, the combined immunotherapy group had a significantly higher objective response rate (OR = 0.63, 95% CI: 0.55-0.72, P&lt;0.00001) and prolonged overall survival (HR = 0.82, 95% CI: 0.76-0.88, P&lt;0.00001) and progression-free survival (HR=0.75, 95% CI: 0.69-0.82, P&lt;0.00001). The combination of immunotherapy and chemotherapy prolonged OS in both MSI-H (HR = 0.38, P = 0.002) and MSS (HR = 0.78, P &lt; 0.00001) populations, but there was a significant difference between groups (P = 0.02). However, in improving ORR, the benefit of ICI combined with chemotherapy in the MSS group and MSI-H group was not significantly different between groups (P = 0.52). Combination therapy with ICIs was more effective than chemotherapy alone in prolonging OS in the subgroup with a high CPS, regardless of the CPS cutoff for PD-L1. However, when the cutoff of CPS was 1, the difference between subgroups did not reach statistical significance (P = 0.12), while the benefit ratio of the MSI-H group was higher when the cutoff was 10 (P =0.004) than when the cutoff value was 5 (P=0.002). Conclusions For first-line treatment of advanced gastroesophageal cancer, an ICI combination strategy is more effective than chemotherapy. The subgroup of patients with a CPS ≥ 10 has a more significant benefit, and CPS ≥ 10 has the potential to be used as an accurate marker of the dominant population of immuno-combined therapy.
DOI: 10.6084/m9.figshare.23529840.v1
title: Supplementary Material for: Efficacy of PD-1 inhibitors in first-line treatment for advanced gastroesophageal junction and gastric cancer by subgroups: A systematic review and meta-analysis

description: Background PD-1 inhibitors have been approved for the first-line treatment of patients with advanced gastric cancer, gastroesophageal junction cancer or esophageal adenocarcinoma. However, the results of several clinical trials are not entirely consistent, and the dominant population of first-line immunotherapy for advanced gastric/gastroesophageal junction cancer still needs to be precisely determined. Objective This objective of this study is to evaluate the efficacy of anti-PD-1/PD-L1 therapy in advanced gastric/gastroesophageal junction adenocarcinoma patients through a systematic review and meta-analysis of relevant clinical trials. Method The PubMed, Embase, and Cochrane Library electronic databases were searched up to 1 August 2022 for clinical trials of anti-PD-1/PD-L1 immunotherapy for the first-line treatment of advanced gastroesophageal cancer. Hazard ratios and 95% confidence intervals for overall survival, progression-free survival and objective response rates were extracted and pooled for meta-analysis. Prespecified subgroups included the following: agent type, PD-L1 expression, and high microsatellite instability. Results This study analyzed 5 RCTs involving 3355 patients. Compared with the chemotherapy group, the combined immunotherapy group had a significantly higher objective response rate (OR = 0.63, 95% CI: 0.55-0.72, P&lt;0.00001) and prolonged overall survival (HR = 0.82, 95% CI: 0.76-0.88, P&lt;0.00001) and progression-free survival (HR=0.75, 95% CI: 0.69-0.82, P&lt;0.00001). The combination of immunotherapy and chemotherapy prolonged OS in both MSI-H (HR = 0.38, P = 0.002) and MSS (HR = 0.78, P &lt; 0.00001) populations, but there was a significant difference between groups (P = 0.02). However, in improving ORR, the benefit of ICI combined with chemotherapy in the MSS group and MSI-H group was not significantly different between groups (P = 0.52). Combination therapy with ICIs was more effective than chemotherapy alone in prolonging OS in the subgroup with a high CPS, regardless of the CPS cutoff for PD-L1. However, when the cutoff of CPS was 1, the difference between subgroups did not reach statistical significance (P = 0.12), while the benefit ratio of the MSI-H group was higher when the cutoff was 10 (P =0.004) than when the cutoff value was 5 (P=0.002). Conclusions For first-line treatment of advanced gastroesophageal cancer, an ICI combination strategy is more effective than chemotherapy. The subgroup of patients with a CPS ≥ 10 has a more significant benefit, and CPS ≥ 10 has the potential to be used as an accurate marker of the dominant population of immuno-combined therapy.
DOI: 10.21227/ebpb-mn26
title: Toward receiver, modulation, carrier and symbol rate agnostic SEI Dataset

description: Specific emitter identification (SEI)  is a promising authentication paradigm in physical layer security (PLS). Despite the significant success of existing SEI schemes, most of them assume that the distributions of the training dataset and the test dataset are consistent. However, in most practical scenarios, when the signal parameters change, the distribution of the samples will changes,  resulting in a significant performance degradation. To this end, we construct a SEI dataset with variable parameters, including variable receiver, variable modulation, variable carrier and variable symbol rate. Compared to existing public works, the constructed  dataset comprehensively considers the impact of different signal parameters on SEI tasks, providing data support for subsequent research work.
DOI: 10.5281/zenodo.8233585
title: Mixed Phase Test Datasets for py4dstem

description: 20210306_114758.hdf5 and 20210306_115105.hdf5 are the datasets from the sample from which the cifs have been produced using the PXRD. The other datasets should have very similar structure types but the XRD was too bad to fit so have to assume the cifs will be the same.
DOI: 10.5281/zenodo.8233584
title: Mixed Phase Test Datasets for py4dstem

description: 20210306_114758.hdf5 and 20210306_115105.hdf5 are the datasets from the sample from which the cifs have been produced using the PXRD. The other datasets should have very similar structure types but the XRD was too bad to fit so have to assume the cifs will be the same.
DOI: 10.5281/zenodo.8233596
title: Endo_TS1_G16_PCM_PM7_chlorobenzene_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8233595
title: Endo_TS1_G16_PCM_PM7_chlorobenzene_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.18712/nsd-nsd2979-v2
title: Local Government Organization at Municipal and County Level, County Sample, 2021

description: The Ministry of Local Government and Modernization's organization database (the organization database) is a survey that is sent out to all Norwegian county administrations. For each round of data collection, a similar survey is also sent to the municipalities. The survey has been conducted eight times: in 1995, 1996, and then every four years - the year after the municipal council and county council elections. Most of the questions in the survey have been asked one or more times before, and there is thus time series data for large parts of the questions in this year's survey.

The survey collected information on how the counties are organized as political units, and how the administrative apparatus is structured. In addition, the survey looked at how the county administration communicates and interacts with its inhabitants, how county administration’s tasks are solved and how their operation is organized.