cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8076361
title: Supplementary Material no. 2 to the manuscript: Reemission of inorganic pollution from permafrost? – a freshwater hydrochemistry study in the lower Kolyma basin (North-East Siberia)

description: A dataset on the inorganic chemistry of permafrost-related creeks and ice, thermokarst lakes and the Kolyma river and its tributaries in late July 2021.<br> Companion dataset to the manuscript: "Reemission of inorganic pollution from permafrost? – a freshwater hydrochemistry study in the lower Kolyma basin (North-East Siberia)".<br> Current abstract of the manuscript (prior to peer review): Permafrost regions are under particular pressure from climate change resulting in widespread landscape changes, which impact also freshwater chemistry. We investigated a snapshot of hydrochemistry in various freshwater environments in the lower Kolyma river basin (North-East Siberia, continuous permafrost zone) to explore the mobility of metals, metalloids and non-metals resulting from permafrost thaw. Particular attention was focused on heavy metals as contaminants potentially released from the secondary source in the permafrozen Yedoma complex. Permafrost creeks represented the Mg-Ca-Na-HCO<sub>3</sub>-Cl-SO<sub>4</sub> ionic water type (with mineralisation in the range 600-800 mg/L), while permafrost ice and thermokarst lake waters were the HCO<sub>3</sub>-Ca-Mg type. Multiple heavy metals (As, Cu, Co, Mn and Ni) showed much higher dissolved phase concentrations in permafrost creeks and ice than in Kolyma and its tributaries, and only in the permafrost samples and one Kolyma tributary have we detected dissolved Ti or Hg. In thermokarst lakes, several metal and metalloid dissolved concentrations increased with water depth (Fe, Mn, Ni and Zn - in both lakes; Al, Cu, K, Sb, Sr and Pb in either lake), reaching 1370 µg/L Cu, 4610 µg/L Mn, and 687 µg/L Zn in the bottom water layers. Permafrost-related waters were also enriched in dissolved phosphorus (up to 512 µg/L in Yedoma-fed creeks). The impact of permafrost thaw on river and lake water chemistry is a complex problem which needs to be considered both in the context of legacy permafrost shrinkage and the interference of the deepening active layer with newly deposited antropogenic contaminants.
description: Please cite article doi: 10.1002/ldr.4866 if using the data included here, as this dataset is part of this published manuscript.
DOI: 10.5281/zenodo.7452042
title: Supplementary Material no. 2 to the manuscript: Reemission of inorganic pollution from permafrost? – a freshwater hydrochemistry study in the lower Kolyma basin (North-East Siberia)

description: A dataset on the inorganic chemistry of permafrost-related creeks and ice, thermokarst lakes and the Kolyma river and its tributaries in late July 2021.<br> Companion dataset to the manuscript: "Reemission of inorganic pollution from permafrost? – a freshwater hydrochemistry study in the lower Kolyma basin (North-East Siberia)".<br> Current abstract of the manuscript (prior to peer review): Permafrost regions are under particular pressure from climate change resulting in widespread landscape changes, which impact also freshwater chemistry. We investigated a snapshot of hydrochemistry in various freshwater environments in the lower Kolyma river basin (North-East Siberia, continuous permafrost zone) to explore the mobility of metals, metalloids and non-metals resulting from permafrost thaw. Particular attention was focused on heavy metals as contaminants potentially released from the secondary source in the permafrozen Yedoma complex. Permafrost creeks represented the Mg-Ca-Na-HCO<sub>3</sub>-Cl-SO<sub>4</sub> ionic water type (with mineralisation in the range 600-800 mg/L), while permafrost ice and thermokarst lake waters were the HCO<sub>3</sub>-Ca-Mg type. Multiple heavy metals (As, Cu, Co, Mn and Ni) showed much higher dissolved phase concentrations in permafrost creeks and ice than in Kolyma and its tributaries, and only in the permafrost samples and one Kolyma tributary have we detected dissolved Ti or Hg. In thermokarst lakes, several metal and metalloid dissolved concentrations increased with water depth (Fe, Mn, Ni and Zn - in both lakes; Al, Cu, K, Sb, Sr and Pb in either lake), reaching 1370 µg/L Cu, 4610 µg/L Mn, and 687 µg/L Zn in the bottom water layers. Permafrost-related waters were also enriched in dissolved phosphorus (up to 512 µg/L in Yedoma-fed creeks). The impact of permafrost thaw on river and lake water chemistry is a complex problem which needs to be considered both in the context of legacy permafrost shrinkage and the interference of the deepening active layer with newly deposited antropogenic contaminants.
description: Please cite article doi: 10.1002/ldr.4866 if using the data included here, as this dataset is part of this published manuscript.
DOI: 10.6084/m9.figshare.23951064
title: <b>The compensation effect or substitution effect?</b><b>-- Participation in Urban Employee Basic Medical Insurance and wages of rural migrants</b> data.zip

description: The original data are from the China Migrants Dynamic Survey (CMDS) 2018.The data in this paper are processed for the sake of empirical analysis.
DOI: 10.6084/m9.figshare.23951064.v1
title: <b>The compensation effect or substitution effect?</b><b>-- Participation in Urban Employee Basic Medical Insurance and wages of rural migrants</b> data.zip

description: The original data are from the China Migrants Dynamic Survey (CMDS) 2018.The data in this paper are processed for the sake of empirical analysis.
DOI: 10.5281/zenodo.8248613
title: Data included in "Sea surface energy fluxes' response to the Quasi-Biweekly Oscillation: A case study in the South China Sea"

description: Underway observed sea surface energy fluxes data in 2019 and 2021 over the summer South China Sea.
DOI: 10.5281/zenodo.8248612
title: Data included in "Sea surface energy fluxes' response to the Quasi-Biweekly Oscillation: A case study in the South China Sea"

description: Underway observed sea surface energy fluxes data in 2019 and 2021 over the summer South China Sea.
DOI: 10.6084/m9.figshare.23946621
title: data set for patients' demographics, HIV and HBV test 2017-2019.xlsx

description: Data set on patients' demographics and virology test 2017-2019
DOI: 10.6084/m9.figshare.7381358.v2
title: Beyond density: municipal expenditures and the shape and location of development

description: A clear understanding of the relationship between development patterns and municipal expenditures is complicated by how one chooses to quantify these patterns. Extant literature often employs a single density measure to capture the low-density nature of sprawl. While density provides an intuitive link to economies of scale and congestion costs, it fails to capture other spatial characteristics of sprawl related to centrality, connectedness, and mixed use that may influence municipal expenditures according to Smart Growth and New Urbanism advocates. This study uses Massachusetts orthoimagery data to construct multidimensional measures of residential and commercial land use patterns. Municipal expenditures associated with public works, fire, and police are regressed on multidimensional measures of land use as well as a number of demand controls. Findings indicate that economies and diseconomies do exist with respect to the multidimensional metrics considered. Support is mixed for development patterns emphasized by Smart Growth and New Urbanism advocates.
DOI: 10.24378/exe.46
title: Ideal Weyl points and helicoid surface states in artificial photonic crystal structures (dataset)

description: Experimental Data - Electric field maps from xyz scanner
description: The article associated with this dataset is located in ORE at: http://hdl.handle.net/10871/31045
DOI: 10.6084/m9.figshare.23951592
title: Dataset

description: To develop a prognostic model for neoadjuvant immunochemotherapy efficacy in esophageal squamous cell carcinoma (ESCC) by analyzing the immune microenvironment
DOI: 10.5517/ccdc.csd.cc20mxf0
title: CCDC 1866182: Experimental Crystal Structure Determination

description: Related Article: Cornelius Gropp, Tamara Husch, Nils Trapp, Markus Reiher, François Diederich|2018|Angew.Chem.,Int.Ed.|57|16296|doi:10.1002/anie.201810562
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.23949507.v1
title: Dataset

description: dune dataset
DOI: 10.5281/zenodo.8248684
title: The RNA-binding proteomes from yeast to man harbour conserved enigmRBPs

description: Mass spec. data from Beckmann et. al 2015
DOI: 10.5281/zenodo.8248683
title: The RNA-binding proteomes from yeast to man harbour conserved enigmRBPs

description: Mass spec. data from Beckmann et. al 2015
DOI: 10.5281/zenodo.8116583
title: Raw data for the article "Unwrap Them First: Operando Potential-induced Activation Is Required when Using PVP-Capped Ag Nanocubes as Catalysts of CO₂ Electroreduction"

description: Raw data for the article "Unwrap Them First: Operando Potential-induced Activation Is Required when Using PVP-Capped Ag Nanocubes as Catalysts of CO₂ Electroreduction'', published in Chimia 2021 75:163, doi: 10.2533/chimia.2021.163 Folder names describe the type of data content.
DOI: 10.5281/zenodo.8116584
title: Raw data for the article "Unwrap Them First: Operando Potential-induced Activation Is Required when Using PVP-Capped Ag Nanocubes as Catalysts of CO₂ Electroreduction"

description: Raw data for the article "Unwrap Them First: Operando Potential-induced Activation Is Required when Using PVP-Capped Ag Nanocubes as Catalysts of CO₂ Electroreduction'', published in Chimia 2021 75:163, doi: 10.2533/chimia.2021.163 Folder names describe the type of data content.
DOI: 10.26050/wdcc/ar6.c6cdccce
title: IPCC DDC: CCCma CanESM5 model output prepared for CMIP6 CDRMIP

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.CDRMIP.CCCma.CanESM5' 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 CanESM5 climate model, released in 2019, includes the following components: aerosol: interactive, atmos: CanAM5 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa), atmosChem: specified oxidants for aerosols, land: CLASS3.6/CTEM1.2, landIce: specified ice sheets, ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m), ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry, seaIce: LIM2. The model was run by the Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada (CCCma) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, atmosChem: 500 km, land: 500 km, landIce: 500 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.5525/gla.researchdata.1483
title: Remote Optical Sensing of Heart Sounds for Biometric Identification

description: This dataset contains human heart sound data collected via a novel optical stethoscope. It includes two subsets, the first subset is collected from human neck (21 subjects, 10 repetitions each) and the second subset is collected from 4 different chest positions (4 subjects, 5 repetitions each chest positions), namely, Mitral Valve (MV) and Tricuspid Valve (TV), Aortic Valve (AV) and Pulmonary Valve (PV).
DOI: 10.34740/kaggle/dsv/6305853
title: AutoXGB
DOI: 10.26050/wdcc/ar6.c6cdcece1
title: IPCC DDC: CNRM-CERFACS CNRM-ESM2-1 model output prepared for CMIP6 CDRMIP

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.CDRMIP.CNRM-CERFACS.CNRM-ESM2-1' 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 CNRM-ESM2-1 climate model, released in 2017, includes the following components: aerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1. The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.6084/m9.figshare.23797074
title: code&data.zip

description: this is a dataset
DOI: 10.6084/m9.figshare.23797074.v1
title: code&data.zip

description: this is a dataset
DOI: 10.6084/m9.figshare.23797074.v2
title: code&data.zip

description: this is a dataset
DOI: 10.26050/wdcc/ar6.c6cdcsae
title: IPCC DDC: CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 CDRMIP

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.CDRMIP.CSIRO.ACCESS-ESM1-5' 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 Australian Community Climate and Earth System Simulator Earth System Model Version 1.5 climate model, released in 2019, includes the following components: aerosol: CLASSIC (v1.0), atmos: HadGAM2 (r1.1, N96; 192 x 145 longitude/latitude; 38 levels; top level 39255 m), land: CABLE2.4, ocean: ACCESS-OM2 (MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m), ocnBgchem: WOMBAT (same grid as ocean), seaIce: CICE4.1 (same grid as ocean). The model was run by the Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia (CSIRO) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.5519/qd.aeiipwdt
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5517/ccdc.csd.cc11tjv7
title: CCDC 977859: Experimental Crystal Structure Determination

description: Related Article: A. Jana, V.Huch, D. Scheschkewitz|2020|CSD Communication|||
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.cc2ddmdv
title: CCDC 2216667: Experimental Crystal Structure Determination

description: Related Article: B. Chidambaranathan, S. Sivaraj, P. Vijayamathubalan, S. Selvakumar|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|226|doi:10.1107/S2056989023001470
description: Related Article: Chidambaranathan  BALASUBARAMANIAN|2022|CSD Communication|||
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.8152642
title: Data set for the journal article "Hydrogen dissociation sites on indium-based ZrO2-supported catalysts for hydrogenation of CO2 to methanol"

description: Raw data for the article " Hydrogen dissociation sites on indium-based ZrO2-supported catalysts for hydrogenation of CO2 to methanol", already published in Catalysis Today, DOI: https://doi.org/10.1016/j.cattod.2021.04.010 Folder names describe the type of data content. All details concerning conditions and equipment for measurements can be found in the main text and supporting information of the article.
DOI: 10.5281/zenodo.8152643
title: Data set for the journal article "Hydrogen dissociation sites on indium-based ZrO2-supported catalysts for hydrogenation of CO2 to methanol"

description: Raw data for the article " Hydrogen dissociation sites on indium-based ZrO2-supported catalysts for hydrogenation of CO2 to methanol", already published in Catalysis Today, DOI: https://doi.org/10.1016/j.cattod.2021.04.010 Folder names describe the type of data content. All details concerning conditions and equipment for measurements can be found in the main text and supporting information of the article.
DOI: 10.6084/m9.figshare.23952852
title: Data - Construction of the fear of the Other as an electoral strategy in the European politics: The case of France and Sweden.docx

description: The data involves anti-immigration discourses delivered particularly by the leaders of National Rally in France and Sweden Democrats in Sweden during the electioneering period of the 2019 European elections. The data is reported in online newspapers, i.e. Le Figaro, Le Monde, Aftonbladet and Expressen, from 1 January 2019 to 31 May 2019.
DOI: 10.5281/zenodo.8119766
title: Diformylxylose as a new polar aprotic solvent produced from renewable biomass

description: The dataset contains raw data used to make the Figures and Tables in the main article and ESI. Specifically, it includes UV-spectra obtained in the mentioned dyes and used to calculate solvatochromic parameters, raw data produced by COSMO-RS software (charge density, settings, sigma profile and sigma potentials), raw GC-FID data used for quantifying Menshutkin reaction, raw data on acid stability of DFX, as well as raw data obtained during the toxicology test (Ames test).
DOI: 10.5281/zenodo.8119767
title: Diformylxylose as a new polar aprotic solvent produced from renewable biomass

description: The dataset contains raw data used to make the Figures and Tables in the main article and ESI. Specifically, it includes UV-spectra obtained in the mentioned dyes and used to calculate solvatochromic parameters, raw data produced by COSMO-RS software (charge density, settings, sigma profile and sigma potentials), raw GC-FID data used for quantifying Menshutkin reaction, raw data on acid stability of DFX, as well as raw data obtained during the toxicology test (Ames test).