cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8198967
title: Ecosystem service-multifunctionality in the European transboundary cooperation area EUREGIO

description: Ecosystem Service-multifunctionality (ES-multifunctionality) is defined as the capacity of ecosystems to supply multiple services within the same spatial unit. The present datasets contain the results of an ES-multifunctionality assessment across a case study region in the eastern European Alps, including the two Italian Autonomous provinces of Trentino and South Tyrol and the Austrian federal state of Tyrol (EUREGIO). ES-multifunctionality was calculated using two diversity indices originating from biodiversity studies: α- and β-diversity. α-multifunctionality is defined as the diversity of ES supplied in terms of ES richness and abundance and accounts for service evenness, favoring a balanced supply of ES. β-multifunctionality is defined as the unique ES contribution of spatial units (e.g., ecosystems, landscape) to ES-multifunctionality at bigger spatial scales (e.g., region). A landscape is considered unique when it supplies specific ES at a higher level compared to other sites in the region. By using 11 ES indicators (carbon sequestration, filtration of surface water, forest protection, lifecycle maintenance, gene pool protection, land use integrity and quality, fuelwood production, grassland production, outdoor recreation, symbolic species, foraging practices), we measured the diversity of ES supplied (i.e., α-multifunctionality) at the patch (100 m pixel resolution) and landscape scale (using the municipality boundaries as landscape units, Local Administrative Level 2). β-multifunctionality was calculated at the landscape scale as the average ES abundance-based dissimilarities between landscape units. The datasets include: a .tiff raster file containing the records of α-multifunctionality at the patch scale at the pixel resolution of 100 m across the study area. a .csv spreadsheet containing the records of α- and β-multifunctionality at the Local Administrative Level 2 across the study area.
DOI: 10.5281/zenodo.8198968
title: Ecosystem service-multifunctionality in the European transboundary cooperation area EUREGIO

description: Ecosystem Service-multifunctionality (ES-multifunctionality) is defined as the capacity of ecosystems to supply multiple services within the same spatial unit. The present datasets contain the results of an ES-multifunctionality assessment across a case study region in the eastern European Alps, including the two Italian Autonomous provinces of Trentino and South Tyrol and the Austrian federal state of Tyrol (EUREGIO). ES-multifunctionality was calculated using two diversity indices originating from biodiversity studies: α- and β-diversity. α-multifunctionality is defined as the diversity of ES supplied in terms of ES richness and abundance and accounts for service evenness, favoring a balanced supply of ES. β-multifunctionality is defined as the unique ES contribution of spatial units (e.g., ecosystems, landscape) to ES-multifunctionality at bigger spatial scales (e.g., region). A landscape is considered unique when it supplies specific ES at a higher level compared to other sites in the region. By using 11 ES indicators (carbon sequestration, filtration of surface water, forest protection, lifecycle maintenance, gene pool protection, land use integrity and quality, fuelwood production, grassland production, outdoor recreation, symbolic species, foraging practices), we measured the diversity of ES supplied (i.e., α-multifunctionality) at the patch (100 m pixel resolution) and landscape scale (using the municipality boundaries as landscape units, Local Administrative Level 2). β-multifunctionality was calculated at the landscape scale as the average ES abundance-based dissimilarities between landscape units. The datasets include: a .tiff raster file containing the records of α-multifunctionality at the patch scale at the pixel resolution of 100 m across the study area. a .csv spreadsheet containing the records of α- and β-multifunctionality at the Local Administrative Level 2 across the study area.
DOI: 10.34740/kaggle/dsv/6224291
title: Potato prices & arrival qty
DOI: 10.5281/zenodo.7786408
title: Supporting data for: Measurement report: Airborne measurements of NOx fluxes over Los Angeles during the RECAP-CA 2021 campaign (doi:10.5194/egusphere-2023-601)

description: We provide here the supporting dataset for our study on airborne measurements of NO<sub>x</sub> fluxes over Los Angeles during the RECAP-CA 2021 campaign.
DOI: 10.5517/ccdc.csd.cc2df4jj
title: CCDC 2217167: Experimental Crystal Structure Determination

description: Related Article: Dongqiu Li, Xiaoqian Zhang, Wendan Han, Jiao Jiao, Yuhai Tang, Silong Xu|2023|J.Org.Chem.|88|10212|doi:10.1021/acs.joc.3c00550
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.cc2b4zcv
title: CCDC 2149737: Experimental Crystal Structure Determination

description: Related Article: Hiya Talukdar, Sandhya Rani Gogoi, Sazida Yasmin Sultana, Reshma Begum, Dikshita Dowerah, Bipul Sarma, Nashreen S. Islam|2023|Dalton Trans.|52|10165|doi:10.1039/D3DT01177A
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.cc2dhgx9
title: CCDC 2219411: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Demakov, Danil N. Dybtsev, Vladimir P. Fedin|2023|Chem.Commun.|59|9380|doi:10.1039/D3CC02162A
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: 10.25345/c5gh9bk82
title: MassIVE MSV000092557 - The potential of plasma HLA peptides in diagnostic and therapy beyond neoepitopes
title: Distinction of non-self from self is the major task of the immune system. Immunopeptidomics studies the peptide repertoire presented by the human leukocyte antigen (HLA) protein, usually on tissues. However, HLA peptides are also bound to plasma soluble HLA (sHLA), but little is known about their origin and potential for biomarker discovery in this readily available biofluid. Currently, immunopeptidomics is hampered by complex workflows and limited sensitivity, generally requiring several mL of plasma for the detection of hundreds of HLA peptides. Here, we take advantage of recent improvements in the throughput and sensitivity of mass spectrometry (MS)-based proteomics to develop a highly-sensitive, automated and economical workflow for HLA peptide analysis, termed Immunopeptidomics by Biotinylated Antibodies and Streptavidin (IMBAS). IMBAS-MS quantifies more than 5,000 HLA class I peptides from only 200 uL of plasma, in just 30 minutes. Our technology revealed that the plasma immunopeptidome of healthy donors is remarkably stable throughout a year and strongly correlated between individuals with overlapping HLA types. Immunopeptides originating from diverse tissues, including the brain, are proportionately represented. We conclude that sHLAs are a promising avenue for immunology and precision oncology.
DOI: 10.26050/wdcc/ar6.c6cmnrces2
title: IPCC DDC: NCAR CESM2 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.NCAR.CESM2' 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 CESM2 climate model, released in 2018, includes the following components: aerosol: MAM4 (same grid as atmos), atmos: CAM6 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). The model was run by the National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA (NCAR) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 5 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6cmnrceseh
title: IPCC DDC: NCAR CESM2 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.NCAR.CESM2.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 CESM2 climate model, released in 2018, includes the following components: aerosol: MAM4 (same grid as atmos), atmos: CAM6 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). The model was run by the National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA (NCAR) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 5 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6cmnrces
title: IPCC DDC: NCAR CESM2-FV2 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.NCAR.CESM2-FV2' 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 CESM2-FV2 climate model, released in 2019, includes the following components: aerosol: MAM4 (same grid as atmos), atmos: CAM6 (1.9x2.5 finite volume grid; 144 x 96 longitude/latitude; 32 levels; top level 2.25 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). The model was run by the National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA (NCAR) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 5 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6cmnrcwf
title: IPCC DDC: NCAR CESM2-WACCM-FV2 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.NCAR.CESM2-WACCM-FV2' 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 CESM2-WACCM-FV2 climate model, released in 2019, includes the following components: aerosol: MAM4 (same grid as atmos), atmos: WACCM6 (1.9x2.5 finite volume grid; 144 x 96 longitude/latitude; 70 levels; top level 4.5e-06 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). The model was run by the National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA (NCAR) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 5 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.34740/kaggle/dsv/6224415
title: Potato prices & arrival qty
DOI: 10.5281/zenodo.8199136
title: smargasyuk/PHRIC-supplementary: v0.1.0

description: Supplementary data for "Long-range RNA structures in the human transcriptome beyond sequence conservation"
DOI: 10.5281/zenodo.8199137
title: smargasyuk/PHRIC-supplementary: v0.1.0

description: Supplementary data for "Long-range RNA structures in the human transcriptome beyond sequence conservation"
DOI: 10.34740/kaggle/dsv/6224490
title: Tomato prices & arrival qty
DOI: 10.5281/zenodo.8199184
title: Missing NEXRAD data for 2022-23 over SGP ARM site

description: Missing data from the 1 April 2022 to 31 March 2023 data set of NEXRAD data regridded to HRRR grid and 25 x 25 area extracted over the SGP ARM site for Masters project.
DOI: 10.5281/zenodo.8199183
title: Missing NEXRAD data for 2022-23 over SGP ARM site

description: Missing data from the 1 April 2022 to 31 March 2023 data set of NEXRAD data regridded to HRRR grid and 25 x 25 area extracted over the SGP ARM site for Masters project.
DOI: 10.5517/ccdc.csd.cc2f7mgs
title: CCDC 2241655: Experimental Crystal Structure Determination

description: Related Article: Reese A. Clendening, Stephanie S. Delancey, Andrew T. Poore, Shan Xue, Yisong Guo, Shiliang Tian, Tong Ren|2023|Inorg.Chem.|62|11121|doi:10.1021/acs.inorgchem.3c01179
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.cc2f7mht
title: CCDC 2241656: Experimental Crystal Structure Determination

description: Related Article: Reese A. Clendening, Stephanie S. Delancey, Andrew T. Poore, Shan Xue, Yisong Guo, Shiliang Tian, Tong Ren|2023|Inorg.Chem.|62|11121|doi:10.1021/acs.inorgchem.3c01179
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: 10.5281/zenodo.8189164
title: water vole m1 geometric morphometrics

description: Code and data for the geometric morphometric analysis of water vole (<em>A amphibius</em>) lower first molars. The files include: 1) the complete information on the specimens included in the geometric morphometric analysis (“./redig_specinfo_20230222.csv”) 2) the landmarks file (“./lmrks_20230222.TPS”) 3) R code (“./gmm_pipeline_vole_20230727.R”) For any questions, please contact nimrod.arch@gmail.com
DOI: 10.5517/ccdc.csd.cc2f7mjv
title: CCDC 2241657: Experimental Crystal Structure Determination

description: Related Article: Reese A. Clendening, Stephanie S. Delancey, Andrew T. Poore, Shan Xue, Yisong Guo, Shiliang Tian, Tong Ren|2023|Inorg.Chem.|62|11121|doi:10.1021/acs.inorgchem.3c01179
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.cc2f7mkw
title: CCDC 2241658: Experimental Crystal Structure Determination

description: Related Article: Reese A. Clendening, Stephanie S. Delancey, Andrew T. Poore, Shan Xue, Yisong Guo, Shiliang Tian, Tong Ren|2023|Inorg.Chem.|62|11121|doi:10.1021/acs.inorgchem.3c01179
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: 10.5281/zenodo.8189163
title: water vole m1 geometric morphometrics

description: Code and data for the geometric morphometric analysis of water vole (<em>A amphibius</em>) lower first molars. The files include: 1) the complete information on the specimens included in the geometric morphometric analysis (“./redig_specinfo_20230222.csv”) 2) the landmarks file (“./lmrks_20230222.TPS”) 3) R code (“./gmm_pipeline_vole_20230727.R”) For any questions, please contact nimrod.arch@gmail.com
description: Simplified code.
DOI: 10.5281/zenodo.8199203
title: water vole m1 geometric morphometrics

description: Code and data for the geometric morphometric analysis of water vole (<em>A amphibius</em>) lower first molars. The files include: 1) the complete information on the specimens included in the geometric morphometric analysis (“./redig_specinfo_20230222.csv”) 2) the landmarks file (“./lmrks_20230222.TPS”) 3) R code (“./gmm_pipeline_vole_20230727.R”) For any questions, please contact nimrod.arch@gmail.com
description: Simplified code.
DOI: 10.34740/kaggle/dsv/6224582
title: Tomato prices & arrival qty
DOI: 10.5281/zenodo.8199214
title: CuReSim-LoRM dataset

description: This archive contains all files to reproduce the results presented in the paper intitled "<strong>CuReSim-LoRM: a tool to simulate metabarcoding long reads" </strong>from Caboche <em>et al.</em> All simulated reads described in the study are available in FASTQ format. A readMe file describes the archive.
DOI: 10.5281/zenodo.8199213
title: CuReSim-LoRM dataset

description: This archive contains all files to reproduce the results presented in the paper intitled "<strong>CuReSim-LoRM: a tool to simulate metabarcoding long reads" </strong>from Caboche <em>et al.</em> All simulated reads described in the study are available in FASTQ format. A readMe file describes the archive.