cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8199164
title: TCIA/TGCA-LIHC portal venous phase CT-scans for cirrhosis classification

description: These are the scans provided by The Cancer Genome Atlas Liver Hepatocellular Carcinoma (TCGA-LIHC) data collection, published by The Cancer Imaging Archive here and used in our MICCAI 2023 paper. You can find the GitHub of the paper here. All the data are submitted to TCIA data usage policy and must be strictly respected by future users. The selected scans are in portal venous phase, which is the phase that is clinically used to identify cirrhosis. In this list, you will find all the patients available in the TCGA-LIHC database, regardless of the availability of the annotations or the duplicated patients at different dates. In the dataframe provided in the Git repo, you will find the dataframe with one scan per patient (only at the first date), and with the Ishak score for each patient provided in the TCIA/TGCA database, which are the exact ones that we used in the paper. The names of the scans in the dataframe match exactly the ones below, to ease reproducibility. The scans are already pre-processed and are the exact ones that we use in evaluation phase in the published paper.
DOI: 10.26050/wdcc/ar6.c6cmnccnc
title: IPCC DDC: NCC NorCPM1 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.NCC.NorCPM1' 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 Norwegian Climate Prediction Model version 1 climate model, released in 2019, includes the following components: aerosol: OsloAero4.1 (same grid as atmos), atmos: CAM-OSLO4.1 (2 degree resolution; 144 x 96 longitude/latitude; 26 levels; top level ~2 hPa), atmosChem: OsloChemSimp4.1 (same grid as atmos), land: CLM4 (same grid as atmos), ocean: MICOM1.1 (1 degree resolution; 320 x 384 longitude/latitude; 53 levels; top grid cell 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC5.1 (same grid as ocean), seaIce: CICE4 (same grid as ocean). The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) 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.c6cmnccnes
title: IPCC DDC: NCC NorESM1-F 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.NCC.NorESM1-F' 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 NorESM1-F (a fast version of NorESM that is designed for paleo and multi-ensemble simulations) climate model, released in 2018, includes the following components: atmos: CAM4 (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), land: CLM4, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC5.1, seaIce: CICE4. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: atmos: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6cmnccnl
title: IPCC DDC: NCC NorESM2-LM 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.NCC.NorESM2-LM' 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 NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6cmnccn2
title: IPCC DDC: NCC NorESM2-MM 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.NCC.NorESM2-MM' 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 NorESM2-MM (medium atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (1 degree resolution; 288 x 192; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.5281/zenodo.8171100
title: Lista contendo todos os papers do SAST de 2016 ate 2022

description: Lista contendo todos os papers do SAST de 2016 ate 2022
DOI: 10.5281/zenodo.8171101
title: Lista contendo todos os papers do SAST de 2016 ate 2022

description: Lista contendo todos os papers do SAST de 2016 ate 2022
DOI: 10.5517/ccdc.csd.cc1kcxnh
title: CCDC 1441427: Experimental Crystal Structure Determination

description: Related Article: Yayue Liu, Wencong Yang, Beining Xie, Tao Chen, Senhua Chen, Zhaoming Liu, Bing Sun, Zhigang She|2023|Tetrahedron|142|133524|doi:10.1016/j.tet.2023.133524
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1kcxpj
title: CCDC 1441428: Experimental Crystal Structure Determination

description: Related Article: Yayue Liu, Wencong Yang, Beining Xie, Tao Chen, Senhua Chen, Zhaoming Liu, Bing Sun, Zhigang She|2023|Tetrahedron|142|133524|doi:10.1016/j.tet.2023.133524
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.23808168
title: data

description: data
DOI: 10.6084/m9.figshare.23808168.v1
title: data

description: data
DOI: 10.6084/m9.figshare.23808177
title: <b>Differential Effects of Airbnb Announcements on Financial Markets: A Cross-Country Comparative Study</b>

description: Data
DOI: 10.6084/m9.figshare.23808177.v1
title: <b>Differential Effects of Airbnb Announcements on Financial Markets: A Cross-Country Comparative Study</b>

description: Data
DOI: 10.5281/zenodo.8099447
title: MTsplice

description: MMSplice model. This is a test repo. Name Age Occupation John Doe 30 Software Engineer Jane Doe 25 Teacher Peter Smith 40 Doctor
DOI: 10.5281/zenodo.8099446
title: MTsplice

description: MMSplice model. This is a test repo. Name Age Occupation John Doe 30 Software Engineer Jane Doe 25 Teacher Peter Smith 40 Doctor
DOI: 10.25592/uhhfdm.13094
title: Datooga (DALGOM 1935/36)

description: This data set contains the scans of three text books that form the Datooga corpus compiled by Paul Berger, housed at the “Abteilung für Afrikanistik und Äthiopistik” of the "Asien-Afrika-Institut" of the University of Hamburg. It comprises texts plus supplementary elicitations in the Gisamjanga variety, recorded and translated in Mbulu and Dongobesh (Manyara Region of Northern Tanzania) during the period from May 1935 to February 1936 where Paul Berger stayed after his separation from the German East Africa expedition 1934-36 under Ludwig Kohl-Larsen whom he had accompanied as linguistic adviser. The corpus includes a total of 47 texts exceeding 500 pages of folio size in total, representing a wide range of topics relevant to the study of Datooga oral literature and the reconstruction of the history of the Tanzanian Rift Valley, roughly falling into the following categories: 15 fictional narratives, 15 narratives of historical and mythical content, 10 auto-ethnographic and procedural texts and 7 songs. All texts are supplemented by elicited grammatical paradigms and sentences plus ethnographic field notes.
description: Deutsche Forschungsgemeinschaft (KI 529/12-1)
DOI: 10.25592/uhhfdm.13093
title: Datooga (DALGOM 1935/36)

description: This data set contains the scans of three text books that form the Datooga corpus compiled by Paul Berger, housed at the “Abteilung für Afrikanistik und Äthiopistik” of the "Asien-Afrika-Institut" of the University of Hamburg. It comprises texts plus supplementary elicitations in the Gisamjanga variety, recorded and translated in Mbulu and Dongobesh (Manyara Region of Northern Tanzania) during the period from May 1935 to February 1936 where Paul Berger stayed after his separation from the German East Africa expedition 1934-36 under Ludwig Kohl-Larsen whom he had accompanied as linguistic adviser. The corpus includes a total of 47 texts exceeding 500 pages of folio size in total, representing a wide range of topics relevant to the study of Datooga oral literature and the reconstruction of the history of the Tanzanian Rift Valley, roughly falling into the following categories: 15 fictional narratives, 15 narratives of historical and mythical content, 10 auto-ethnographic and procedural texts and 7 songs. All texts are supplemented by elicited grammatical paradigms and sentences plus ethnographic field notes.
description: Deutsche Forschungsgemeinschaft (KI 529/12-1)
DOI: 10.7916/66rt-9z33
title:  Children’s and Adults' Perceptions of Religious and Secular Interventions for Incarcerated Individuals in the United States (Data)
DOI: 10.5281/zenodo.8092826
title: Consequential Carbon Accounting Scenarios: CCUS Mexico

description: This dataset presents the models for a consequential carbon accounting method as a time series for evaluating a hypothetical Carbon Capture, Utilisation and Storage (CCUS) project in the Southeast Region of México. The CO2 source is the Dos Bocas Refinery; CO2 utilisation for EOR considers two injection strategies (Water Alternating Gas and Continous Gas Injection); two different scenarios for the energy mix for Mexico´s context were considered (National Strategy on Climate Change and Sustainability): Scenario 1: WAG+NSCC Scenario 2: CGI + Sustainability Scenario 3: WAG+Sustainability Scenario 4: CGI+NSCC
DOI: 10.5281/zenodo.8092825
title: Consequential Carbon Accounting Scenarios: CCUS Mexico

description: This dataset presents the models for a consequential carbon accounting method as a time series for evaluating a hypothetical Carbon Capture, Utilisation and Storage (CCUS) project in the Southeast Region of México. The CO2 source is the Dos Bocas Refinery; CO2 utilisation for EOR considers two injection strategies (Water Alternating Gas and Continous Gas Injection); two different scenarios for the energy mix for Mexico´s context were considered (National Strategy on Climate Change and Sustainability): Scenario 1: WAG+NSCC Scenario 2: CGI + Sustainability Scenario 3: WAG+Sustainability Scenario 4: CGI+NSCC
DOI: 10.5281/zenodo.8199816
title: Valar: Streamlining Alarm Ranking in Static Analysis with Value-Flow Assisted Active Learning

description: static analysis alarm dataset
DOI: 10.5281/zenodo.8199815
title: Valar: Streamlining Alarm Ranking in Static Analysis with Value-Flow Assisted Active Learning

description: static analysis alarm dataset
DOI: 10.5281/zenodo.8199835
title: Figure 4 Preliminary synthesized waveforms of 22 stations

description: Figure 4 Preliminary synthesized waveforms of 22 stations. The simulation results of seismic motion at other stations not shown in Figure 4 of the manuscript submitted this time.
DOI: 10.5281/zenodo.8199834
title: Figure 4 Preliminary synthesized waveforms of 22 stations

description: Figure 4 Preliminary synthesized waveforms of 22 stations. The simulation results of seismic motion at other stations not shown in Figure 4 of the manuscript submitted this time.
DOI: 10.5281/zenodo.5957521
title: Active Brownian particles in external force fields: field-theoretical models, generalized barometric law, and programmable density patterns

description: Supplementary data for the following manuscript: Jens Bickmann, Stephan Bröker, Raphael Wittkowski, "Active Brownian particles in external force fields: field-theoretical models, generalized barometric law, and programmable density patterns".
description: R.W. is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – WI 4170/3-1.
DOI: 10.5281/zenodo.7657374
title: Active Brownian particles in external force fields: field-theoretical models, generalized barometric law, and programmable density patterns

description: Supplementary data for the following manuscript: Jens Bickmann, Stephan Bröker, Michael te Vrugt, Raphael Wittkowski, "Active Brownian particles in external force fields: field-theoretical models, generalized barometric law, and programmable density patterns".
description: R.W. is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – WI 4170/3-1.
DOI: 10.1184/r1/23100482
title: Towards Usable Security Analysis Tools for Trigger-Action Programming -- Dataset

description: Anonymized data from 2 surveys relating to usability of TAP security analysis tools from "Towards Usable Security Analysis Tools for Trigger-Action Programming" to appear at SOUPS '23.
DOI: 10.1184/r1/23100482.v2
title: Towards Usable Security Analysis Tools for Trigger-Action Programming -- Dataset

description: Anonymized data from 2 surveys relating to usability of TAP security analysis tools from "Towards Usable Security Analysis Tools for Trigger-Action Programming" to appear at SOUPS '23.
DOI: 10.1184/r1/23100482.v1
title: Towards Usable Security Analysis Tools for Trigger-Action Programming -- Dataset

description: Anonymized data from 2 surveys relating to usability of TAP security analysis tools from "Towards Usable Security Analysis Tools for Trigger-Action Programming" to appear at SOUPS '23.
DOI: 10.34740/kaggle/dsv/6225601
title: Crime in Portugal (2009-2017)