cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22033/esgf/cmip6.8153
title: NCC NorESM2-LM model output prepared for CMIP6 AerChemMIP piClim-O3

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.AerChemMIP.NCC.NorESM2-LM.piClim-O3' 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. 

Project: 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. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.22033/esgf/cmip6.8157
title: NCC NorESM2-LM model output prepared for CMIP6 AerChemMIP piClim-OC

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.AerChemMIP.NCC.NorESM2-LM.piClim-OC' 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. 

Project: 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. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.22033/esgf/cmip6.8161
title: NCC NorESM2-LM model output prepared for CMIP6 AerChemMIP piClim-SO2

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.AerChemMIP.NCC.NorESM2-LM.piClim-SO2' 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. 

Project: 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. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.22033/esgf/cmip6.7680
title: NCAR CESM2 model output prepared for CMIP6 OMIP omip2

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.OMIP.NCAR.CESM2.omip2' 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. 

Project: 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. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.57967/hf/5575
title: Synergy
DOI: 10.15468/dl.3egq7y
title: Occurrence Download

description: A dataset containing 681 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asarum europaeum subsp. caucasicum (Duch.) Soó"
 ]
}

 The dataset includes 681 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009954-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5vz57z
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viola rockiana W.Becker",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 106 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0321632-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vk1jzb
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001476-171107215919691/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8n4d8x
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Androsace tapete Maxim.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 196 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0321760-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9fxzk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aquilegia ecalcarata Steud.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0321790-200613084148143/datasets/export for details.
DOI: 10.15468/dl.kvxrjl
title: Occurrence Download

description: A dataset containing 1961752423 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 1961752423 records from 18354 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002646-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mv9jeq
title: Occurrence Download

description: A dataset containing 1059 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Gallesia Casar."
 ]
}

 The dataset includes 1059 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001191-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zb2ywb2jxc
title: Older infant formula dataset China (2017-2024)

description: The objective of this dataset was main focused on comparative profiling of nutrient content in domestic and imported older infant formula products. The complete registration dossiers of 786 older infant formula powder from 2017 to 2024, officially disclosed on the Special Food Information Query Platform of China's State Administration for Market Regulation (SAMR) were systematically retrieved and collected, and verified by the nutritional values on the product packing or on the websites of the different brands. The nutritional values are systematically presented for 100 kJ and 100g of powder. The nutrient content in domestic and imported were also statistically calculated and presented.
DOI: 10.17632/zb2ywb2jxc.1
title: Older infant formula dataset China (2017-2024)

description: The objective of this dataset was main focused on comparative profiling of nutrient content in domestic and imported older infant formula products. The complete registration dossiers of 786 older infant formula powder from 2017 to 2024, officially disclosed on the Special Food Information Query Platform of China's State Administration for Market Regulation (SAMR) were systematically retrieved and collected, and verified by the nutritional values on the product packing or on the websites of the different brands. The nutritional values are systematically presented for 100 kJ and 100g of powder. The nutrient content in domestic and imported were also statistically calculated and presented.
DOI: 10.17632/847gv863v9
title: Co-disposal of wood ashes and mine wastes to control acid and metalliferous drainage

description: Wood ashes can be an environmentally sustainable option of treating acid and metalliferous drainage (AMD). However, their effectiveness varies according to their type, dosage rate, quantity and composition of AMD, which leads to contradicting results. Furthermore, the different ash placement have not been compared. This study evaluated the potential environmental performance of wood bed (a coarse material from the bottom of boilers) and fly (a fine material collected at the top of boilers) ashes placed with six diverse legacy mine waste samples from Tasmania, Australia. This study also tested the effectiveness of different placement methods, i.e., covers, mixed (thoroughly blended), and layers (i.e., 3 underlayers) at the same dosage rate on the same mine waste sample.
The wood ashes (6 g) were added to the mine wastes (14 g) in kinetic leach columns (50 mm diameter) and irrigated with 30 mL of deionised water over 100 days. The bed and fly ash increased leachate pH by 0.7 and 0.1 units, respectively, for two low acid-generating (pH 4.4 and 5.3) samples but maintained or lowered the pH by nearly 0.6 units for the remainder. The increase in pH was from acid buffering by calcite (0.14 % and 0.01 % in bed ash and fly ash, respectively) and reduced the oxidation of sulfides. Long (10-day) dry spells from day 30 onwards enhanced the increase in pH by further reducing the oxidation of sulfides. The wood ash covers reduced the concentrations of PTEs such as Al, As, Cr, Cu, Ni, Pb and Zn by up to 93 % through precipitation and sorption to Al and Fe oxyhydroxides and hydroxysulfates at pH &gt; 3.5 and possibly pozzolanic reactions. The mixed and layered bed ashes increased pH by 0.4 – 0.6 units (i.e., 1.0 units more than the cover system) and immobilised metal(loid)s more than the cover system. The bed ash layers provided extra attenuation of metal(loid)s, possibly through filtration or adsorption. However, the water hazard risk remained high despite the wood ash amelioration; therefore, mixing the wood ashes with more alkaline materials is recommended for the legacy mine wastes.
DOI: 10.17632/847gv863v9.1
title: Co-disposal of wood ashes and mine wastes to control acid and metalliferous drainage

description: Wood ashes can be an environmentally sustainable option of treating acid and metalliferous drainage (AMD). However, their effectiveness varies according to their type, dosage rate, quantity and composition of AMD, which leads to contradicting results. Furthermore, the different ash placement have not been compared. This study evaluated the potential environmental performance of wood bed (a coarse material from the bottom of boilers) and fly (a fine material collected at the top of boilers) ashes placed with six diverse legacy mine waste samples from Tasmania, Australia. This study also tested the effectiveness of different placement methods, i.e., covers, mixed (thoroughly blended), and layers (i.e., 3 underlayers) at the same dosage rate on the same mine waste sample.
The wood ashes (6 g) were added to the mine wastes (14 g) in kinetic leach columns (50 mm diameter) and irrigated with 30 mL of deionised water over 100 days. The bed and fly ash increased leachate pH by 0.7 and 0.1 units, respectively, for two low acid-generating (pH 4.4 and 5.3) samples but maintained or lowered the pH by nearly 0.6 units for the remainder. The increase in pH was from acid buffering by calcite (0.14 % and 0.01 % in bed ash and fly ash, respectively) and reduced the oxidation of sulfides. Long (10-day) dry spells from day 30 onwards enhanced the increase in pH by further reducing the oxidation of sulfides. The wood ash covers reduced the concentrations of PTEs such as Al, As, Cr, Cu, Ni, Pb and Zn by up to 93 % through precipitation and sorption to Al and Fe oxyhydroxides and hydroxysulfates at pH &gt; 3.5 and possibly pozzolanic reactions. The mixed and layered bed ashes increased pH by 0.4 – 0.6 units (i.e., 1.0 units more than the cover system) and immobilised metal(loid)s more than the cover system. The bed ash layers provided extra attenuation of metal(loid)s, possibly through filtration or adsorption. However, the water hazard risk remained high despite the wood ash amelioration; therefore, mixing the wood ashes with more alkaline materials is recommended for the legacy mine wastes.
DOI: 10.6084/m9.figshare.30339913
title: Supplementary data for "Sex-based Differences and Determinants of Right-Ventricular Function and Right Ventricular-Pulmonary Arterial Adaptations in Older Adults"

description: This work investigates a novel parameter of right heart function, namely right ventricular (RV) remodelling in response to pulmonary arterial (PA) changes. Given the importance of cardio-respiratory function in declining aerobic capacity with age, sensitive metrics of RV function that includes RV and RV-PA conduit adaptations in aging would fill a critical gap in hemodynamic adaptations in the RV-pulmonary system. We performed novel CMR-derived right heart parameters and found sex-distinguishing differences in RV functions and RV-PA coupling between women and men.<br>
DOI: 10.1285/i20356609v18i1p61
title: Constrained Cooperation: Activist Politicians and Their Engagement With Social Movements in Protest and Parliamentary Arenas

description: The article contributes to the study of the intersections between institutional and non-institutional politics through an analysis of politicians from activist backgrounds who continue to cooperate with social movements while in office. Previous research on institutional activism and dual militancy has paid inadequate attention to the differences between politicians and civil servants in this respect even though these two groups of actors face differing constraints and opportunities for promoting movement agendas within political institutions as well as for participating in movement activities such as protests. The article maintains that to best understand the relationship between these 'activist politicians' and social movements, it is necessary to consider the micro, meso and macro levels alike. In other words, the overall relationship is affected by the politicians' identities and role properties, the organisational characteristics and dynamics of movements and parties, in addition to structural and cultural factors. The empirical case discussed in the article concerns migrant rights activism in Finland in the late 2010s.
DOI: 10.5281/zenodo.16651889
title: Estimating Personal Temporal Symptom Networks for Childhood Cancer Survivors
DOI: 10.5281/zenodo.16651888
title: Estimating Personal Temporal Symptom Networks for Childhood Cancer Survivors