cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26050/wdcc/ar6.c6spkike
title: IPCC DDC: KIOST KIOST-ESM model output prepared for CMIP6 ScenarioMIP

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.ScenarioMIP.KIOST.KIOST-ESM' 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 KIOST Earth System Model v2 climate model, released in 2018, includes the following components: atmos: GFDL-AM2.0 (cubed sphere (C48); 192 x 96 longitude/latitude; 32 vertical levels; top level 2 hPa), atmosChem: Simple carbon aerosol model (emission type), land: NCAR-CLM4, landIce: NCAR-CLM4, ocean: GFDL-MOM5.0 (tripolar - nominal 1.0 deg; 360 x 200 longitude/latitude; 52 levels; top grid cell 0-2 m; NK mixed layer scheme), ocnBgchem: TOPAZ2, seaIce: GFDL-SIS. The model was run by the Korea Institute of Ocean Science and Technology, Busan 49111, Republic of Korea (KIOST) in native nominal resolutions: atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.34740/kaggle/dsv/6200490
title: ECG signals (1000 fragments)
DOI: 10.25318/2710037101-eng
title: Applications related to geomatics or geospatial technologies, by industry and enterprise size

description: Survey of advanced technology, applications related to geomatics or geospatial technologies, by North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2022.
DOI: 10.25318/2710037101-fra
title: Applications liées aux technologies géomatiques ou géospatiales, selon l'industrie et la taille de l'entreprise

description: Enquête sur les technologies de pointe, applications liées aux tenologies géomatiques ou géospatiales, selon le système de classification des industries de l'Amérique du Nord (SCIAN) et la taille de l'entreprise pour le Canada et certaines provinces, en 2022.
DOI: 10.25612/837.5qlxqxv2pxxa
title: Residential Real Estate Sales Data (2011-2021)

description: Housing sales data from the Houston Realtors Information Service, Inc. Includes aggregated data at the CTA- and census tract-level for Harris County. Also includes county-level data for Harris County and city-level data for the City of Houston.
DOI: 10.25318/2710037201-eng
title: Applications related to nanotechnology, by industry and enterprise size

description: Survey of advanced technology, applications related to nanotechnology, by North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2022.
DOI: 10.25612/837.vy8wbmeebbzj
title: Residential Real Estate Sales Data (2011-2022)

description: Housing sales data from the Houston Realtors Information Service, Inc. Includes aggregated data at the CTA- and census tract-level for Harris County. Also includes county-level data for Harris County and city-level data for the City of Houston.
DOI: 10.25318/2710037201-fra
title: Applications liées à la nanotechnologie, selon l'industrie et la taille de l'entreprise

description: Enquête sur les technologies de pointe, applications liées à la nanotechnologie, selon le système de classification des industries de l'Amérique du Nord (SCIAN) et la taille de l'entreprise pour le Canada et certaines provinces, en 2022.
DOI: 10.25612/837.by12pz21m6zb
title: Residential Real Estate Sales Data (2011-2020)

description: Housing sales data from the Houston Realtors Information Service, Inc. Includes aggregated data at the CTA- and census tract-level for Harris County. Also includes county-level for Harris County and city-level data for the City of Houston.
DOI: 10.25612/837.qwo5kky4agal
title: Residential Real Estate Sales Data (2011-2019)

description: Housing sales data from the Houston Realtors Information Service, Inc. Includes aggregated data at the CTA- and census tract-level for Harris County. Also includes county-level for Harris County and city-level data for the City of Houston.
DOI: 10.6084/m9.figshare.23863503
title: Joint derived allele counts of annotated Emperor and King penguin genomic variants with transcription coverage

description: Joint derived allele counts for King and Emperor penguin samples using Adelie and Gentoo penguins samples as outgroups. The resulting summary table (<i>daf.joint.no00.rnaCov</i> included the following information: <i>-</i> counts of derived alleles and total alleles in Emperor penguin (Der1; Tot1), King penguin (Der2; Tot2), and Adélie and Gentoo<i> </i>penguins<i> </i>(Der_out; Tot_out) samples; - average allele coverage (avgCov); <i>-</i> ancestral (Ref) and derived (Alt) allele; - genomic site type (Vartype) based on the first annotation by SNPeff as <i>missense</i> if containing the word ‘missense’, <i>synonymous</i> if containing the word ‘synonymous’, <i>intergenic</i> if containing the word ‘intergenic’, <i>intronic</i> if containing the word ‘intron’, <i>else</i> otherwise;- genomic site predicted effect (effect) based on the the first annotation description as HIGH, MODERATE, LOW, MODIFIER;- a flag whether the polymorphic site was originally called as MNP or SNP by freebayes (FlagQual: <i>haplo</i>, <i>snp</i>);- a flag to track how the derived allele was called (FlagPol) on the basis of the options shown in Supplementary Figure 1 of the related manuscript.- RNA coverage counts per base for Emperor and King penguins (KingRnaCov, EmpRnaCov<br>
DOI: 10.6084/m9.figshare.23863503.v1
title: Joint derived allele counts of annotated Emperor and King penguin genomic variants with transcription coverage

description: Joint derived allele counts for King and Emperor penguin samples using Adelie and Gentoo penguins samples as outgroups. The resulting summary table (<i>daf.joint.no00.rnaCov</i> included the following information: <i>-</i> counts of derived alleles and total alleles in Emperor penguin (Der1; Tot1), King penguin (Der2; Tot2), and Adélie and Gentoo<i> </i>penguins<i> </i>(Der_out; Tot_out) samples; - average allele coverage (avgCov); <i>-</i> ancestral (Ref) and derived (Alt) allele; - genomic site type (Vartype) based on the first annotation by SNPeff as <i>missense</i> if containing the word ‘missense’, <i>synonymous</i> if containing the word ‘synonymous’, <i>intergenic</i> if containing the word ‘intergenic’, <i>intronic</i> if containing the word ‘intron’, <i>else</i> otherwise;- genomic site predicted effect (effect) based on the the first annotation description as HIGH, MODERATE, LOW, MODIFIER;- a flag whether the polymorphic site was originally called as MNP or SNP by freebayes (FlagQual: <i>haplo</i>, <i>snp</i>);- a flag to track how the derived allele was called (FlagPol) on the basis of the options shown in Supplementary Figure 1 of the related manuscript.- RNA coverage counts per base for Emperor and King penguins (KingRnaCov, EmpRnaCov<br>
DOI: 10.25318/2710037301-eng
title: Applications related to blockchain or distributed ledger technologies, by industry and enterprise size

description: Survey of advanced technology, applications related to blockchain or distributed ledger technologies, by North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2022.
DOI: 10.25318/2710037301-fra
title: Applications liées aux technologies de chaîne de blocs ou aux technologies des registres distribués, selon l'industrie et la taille de l'entreprise

description: Enquête sur les technologies de pointe, applications liées aux technologies de chaîne de blocs ou aux technologies des registres distribués, selon le système de classification des industries de l'Amérique du Nord (SCIAN) et la taille de l'entreprise pour le Canada et certaines provinces, en 2022.
DOI: 10.6084/m9.figshare.21781703
title: Young Hoon Soong & Eun Sung Chung Monthly potential evapotranspiration dataset based on CMIP6 GCM (MRI-ESM2-0-Future period)

description: Regridding Global CMIP6 GCMs datasets(0.5 degree) case of MRI-ESM2-0 <br> Composition of datasets: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiation <br> SSP scenarios: SSP1-2.6; SSP2-4.5; SSP3-7.0; SSP5-8.5
DOI: 10.6084/m9.figshare.21781703.v4
title: Young Hoon Soong & Eun Sung Chung Monthly potential evapotranspiration dataset based on CMIP6 GCM (MRI-ESM2-0-Future period)

description: Regridding Global CMIP6 GCMs datasets(0.5 degree) case of MRI-ESM2-0 <br> Composition of datasets: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiation <br> SSP scenarios: SSP1-2.6; SSP2-4.5; SSP3-7.0; SSP5-8.5
DOI: 10.6084/m9.figshare.21781703.v3
title: Young Hoon Soong & Eun Sung Chung Monthly potential evapotranspiration dataset based on CMIP6 GCM (MRI-ESM2-0-Future period)

description: Regridding Global CMIP6 GCMs datasets(0.5 degree) case of MRI-ESM2-0 <br> Composition of datasets: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiation <br> SSP scenarios: SSP1-2.6; SSP2-4.5; SSP3-7.0; SSP5-8.5
DOI: 10.25318/2710037401-eng
title: Applications related to Internet-connected smart devices or systems, by industry and enterprise size

description: Survey of advanced technology, applications related to Internet-connected smart devices or systems, by North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2022.
DOI: 10.25318/2710037401-fra
title: Applications liées aux systèmes ou objets intelligents connectés à Internet, selon l'industrie et la taille de l'entreprise

description: Enquête sur les technologies de pointe, applications liées aux systèmes ou objets intelligents connectés à Internet, selon le système de classification des industries de l'Amérique du Nord (SCIAN) et la taille de l'entreprise pour le Canada et certaines provinces, en 2022.
DOI: 10.57745/uhd83d
title: HG002.ref.tar.xz

description: :unav
DOI: 10.57745/5lotb1
title: SEA.3.140k.tar.xz

description: :unav
DOI: 10.57745/4ddqqq
title: CHM13v2.ref.tar.xz

description: :unav
DOI: 10.57745/bk1142
title: HG002.err.A.tar.xz

description: :unav
DOI: 10.57745/meynl9
title: SYN.3.140k.tar.xz

description: :unav
DOI: 10.57745/ccmckn
title: CHM13.yahs.test.tar.xz

description: :unav
DOI: 10.57745/g4zojo
title: SYN.3.30k.tar.xz

description: :unav
DOI: 10.57745/akdjv2
title: SEA.3.30k.tar.xz

description: :unav
DOI: 10.57745/bfac7r
title: HG002.mat.tar.xz

description: :unav
DOI: 10.25318/2710037501-eng
title: Applications related to artificial intelligence technologies, by industry and enterprise size

description: Survey of advanced technology, applications related to artificial intelligence technologies, by North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2022.
DOI: 10.25318/2710037501-fra
title: Applications liées à la technologie d'intelligence artificielle, selon l'industrie et la taille de l'entreprise

description: Enquête sur les technologies de pointe, applications liées à la technologie d'intelligence artificielle, selon le système de classification des industries de l'Amérique du Nord (SCIAN) et la taille de l'entreprise pour le Canada et certaines provinces, en 2022.
DOI: 10.17909/emgj-gq45
title: TESS asteroseismology of 51 Peg

description: TESS target pixel files were used for an asteroseismic detection in 51 Peg.
DOI: 10.25318/2710037601-eng
title: Adoption of advanced processing and fabrication technologies, by industry and enterprise size

description: Survey of advanced technology, adoption of advanced processing and fabrication technologies, by type of advanced technologies, North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2022.
DOI: 10.25405/data.ncl.23822043
title: The Universal Credit eXtension (UCX) Stage 3A Data

description: The Universal Credit eXtension, a web browser extension, is a digital prototype designed with citizens claiming Universal Credit (UC). This Stage 3A data relates to three co-design activities to develop the initial prototype. The readme3A.txt file explains the content of each Zip file.
DOI: 10.25405/data.ncl.23822043.v1
title: The Universal Credit eXtension (UCX) Stage 3A Data

description: The Universal Credit eXtension, a web browser extension, is a digital prototype designed with citizens claiming Universal Credit (UC). This Stage 3A data relates to three co-design activities to develop the initial prototype. The readme3A.txt file explains the content of each Zip file.
DOI: 10.25405/data.ncl.23822370
title: The Universal Credit eXtension (UCX) Stage 3B Data

description: The Universal Credit eXtension, a web browser extension, is a digital prototype designed with citizens claiming Universal Credit (UC). This Stage 3B data relates to two workshops to undertake formative evaluations, firstly of the initial prototype, and an updated version after the findings from the first workshop were incorporated. The readme3B.txt file explains the content of each Zip file.
DOI: 10.25405/data.ncl.23822370.v1
title: The Universal Credit eXtension (UCX) Stage 3B Data

description: The Universal Credit eXtension, a web browser extension, is a digital prototype designed with citizens claiming Universal Credit (UC). This Stage 3B data relates to two workshops to undertake formative evaluations, firstly of the initial prototype, and an updated version after the findings from the first workshop were incorporated. The readme3B.txt file explains the content of each Zip file.
DOI: 10.25405/data.ncl.23833323
title: The Universal Credit eXtension (UCX) Stage 3C Data

description: The Universal Credit eXtension, a web browser extension, is a digital prototype designed with citizens claiming Universal Credit (UC). This Stage 3C data relates to summative evaluations of the prototype by claimants and advisors, including initial and intermediate survey responses and analyses, and transcripts of the 12 individual walk-through demonstrations and semi-structured interviews. The readme3C.txt file explains the content of each file.
DOI: 10.25318/2710037601-fra
title: Adoption des technologies de pointe de traitement et de fabrication, selon l'industrie et la taille de l'entreprise

description: Enquête sur les technologies de pointe, adoption des technologies de pointe de traitement et de fabrication, selon le type de technologies de pointe, le système de classification des industries de l'Amérique du Nord (SCIAN) et la taille de l'entreprise pour le Canada et certaines provinces, en 2022.
DOI: 10.26050/wdcc/ar6.c6spmimil
title: IPCC DDC: MIROC MIROC-ES2L model output prepared for CMIP6 ScenarioMIP

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.ScenarioMIP.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: 10.26050/wdcc/ar6.c6spmimilso
title: IPCC DDC: MIROC MIROC-ES2L model output prepared for CMIP6 ScenarioMIP ssp534-over

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.ScenarioMIP.MIROC.MIROC-ES2L.ssp534-over' 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.c6spmimis460
title: IPCC DDC: MIROC MIROC6 model output prepared for CMIP6 ScenarioMIP ssp460

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.ScenarioMIP.MIROC.MIROC6.ssp460' 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 MIROC6 climate model, released in 2017, includes the following components: aerosol: SPRINTARS6.0, atmos: CCSR AGCM (T85; 256 x 128 longitude/latitude; 81 levels; top level 0.004 hPa), land: MATSIRO6.0, ocean: COCO4.9 (tripolar primarily 1deg; 360 x 256 longitude/latitude; 63 levels; top grid cell 0-2 m), 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: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.