cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21895965
title: CRISPR-mediated resistance to archaeal episymbionts

description: FISH images depicting the close association of Altiarchaea and Huberarchaea in two subsurface ecosystems (CG and HURL).
DOI: 10.6084/m9.figshare.22548640.v1
title: A Hydrogen-Bonded Organic Framework (HOF) based Bioorthogonal Catalysis for Prevention of in vivo Drug Metabolic Inactivation

description: materials characterizations and application data
DOI: 10.6084/m9.figshare.22548640
title: A Hydrogen-Bonded Organic Framework (HOF) based Bioorthogonal Catalysis for Prevention of in vivo Drug Metabolic Inactivation

description: materials characterizations and application data
DOI: 10.6084/m9.figshare.23650671.v1
title: Real-time finger motion recognition using skin-conformable electronics

description: The data includes the data and code for the simulation, as well as the raw data for finger writing detection from OPS device.
DOI: 10.6084/m9.figshare.23650671
title: Real-time finger motion recognition using skin-conformable electronics

description: The data includes the data and code for the simulation, as well as the raw data for finger writing detection from OPS device.
DOI: 10.26050/wdcc/ar6.c6cminrces
title: IPCC DDC: NCAR CESM2 model output prepared for CMIP6 C4MIP

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.C4MIP.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.c6cminccnl
title: IPCC DDC: NCC NorESM2-LM model output prepared for CMIP6 C4MIP

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.C4MIP.NCC.NorESM2-LM' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.6084/m9.figshare.23931291
title: <b>Dissecting The Analects: An NLP-Based Exploration of Semantic Similarities and Differences Across English Translations</b>

description: <b>Manuscript support dataset：</b><b>Dissecting The Analects: An NLP-Based Exploration of Semantic Similarities and Differences Across English Translations</b>
DOI: 10.6084/m9.figshare.23931291.v1
title: <b>Dissecting The Analects: An NLP-Based Exploration of Semantic Similarities and Differences Across English Translations</b>

description: <b>Manuscript support dataset：</b><b>Dissecting The Analects: An NLP-Based Exploration of Semantic Similarities and Differences Across English Translations</b>
DOI: 10.26050/wdcc/ar6.c6cminggfe
title: IPCC DDC: NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 C4MIP

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.C4MIP.NOAA-GFDL.GFDL-ESM4' 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 GFDL-ESM4 climate model, released in 2018, includes the following components: aerosol: interactive, atmos: GFDL-AM4.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 49 levels; top level 1 Pa), atmosChem: GFDL-ATMCHEM4.1 (full atmospheric chemistry), land: GFDL-LM4.1, landIce: GFDL-LM4.1, ocean: GFDL-OM4p5 (GFDL-MOM6, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: GFDL-COBALTv2, seaIce: GFDL-SIM4p5 (GFDL-SIS2.0, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 5 layers; 5 thickness categories). The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 km.
DOI: 10.25345/c5125qm05
title: MassIVE MSV000092638 - MALDI-IM-MS Imaging of Brain Sterols and Lipids in a Mouse Model of Smith-Lemli-Opitz Syndrome
title: Spatial distribution of sterols and lipids in tissue sections of WT and SLOS (Dhcr7-KO) mouse brain analyzed by Waters Synapt XS-TWIM QTOF. Raw data files included for two biological replicates in positive ionization mode and negative ionization mode. .extern files in .raw folders contain specific instrumental parameters.
DOI: 10.6084/m9.figshare.16900539
title: Comparison of GPS-derived ocean tide loading displacements with models in New Zealand

description: We investigate the tidal displacement signals of two principle semidiurnal (M2) and diurnal (O1) tidal constituents in New Zealand. We calculate the predicted loading displacements using the latest ocean tide models and Earth models. The results show that, for the M2 constituent, the tide models FES2014b and TPXO9-Atlas have subtle differences, and the vector differences between the Earth models shows that the regularity of the influence of the Earth model is weak. The vector difference of O1 constituent have significant spatial coherence (about 0.2 mm). The residuals of M2 constituent in the up component subtract about 0.2 mm across the entire areas after considering the anelastic dispersion. We find that the clear regional-scale spatial coherence of the residuals exists in both constituents in all models even if spatial water density and compressibility have been considered. However, the spatial coherence of residuals disappears when the network-mean value removed, and the reduction of RMS for O1 constituent is close to the theoretical error of body tide (about 0.5 mm). We also find that for the different ocean tide models, part of the differences in residuals between the observations and predictions would be attributed to the choice of geocentric reference frame.
DOI: 10.6084/m9.figshare.16900539.v1
title: Comparison of GPS-derived ocean tide loading displacements with models in New Zealand

description: We investigate the tidal displacement signals of two principle semidiurnal (M2) and diurnal (O1) tidal constituents in New Zealand. We calculate the predicted loading displacements using the latest ocean tide models and Earth models. The results show that, for the M2 constituent, the tide models FES2014b and TPXO9-Atlas have subtle differences, and the vector differences between the Earth models shows that the regularity of the influence of the Earth model is weak. The vector difference of O1 constituent have significant spatial coherence (about 0.2 mm). The residuals of M2 constituent in the up component subtract about 0.2 mm across the entire areas after considering the anelastic dispersion. We find that the clear regional-scale spatial coherence of the residuals exists in both constituents in all models even if spatial water density and compressibility have been considered. However, the spatial coherence of residuals disappears when the network-mean value removed, and the reduction of RMS for O1 constituent is close to the theoretical error of body tide (about 0.5 mm). We also find that for the different ocean tide models, part of the differences in residuals between the observations and predictions would be attributed to the choice of geocentric reference frame.
DOI: 10.6084/m9.figshare.17036409
title: CSI – Cuttlefish Sepion Investigation: overview of cuttlebones found on Aotearoa New Zealand shores and analysis of predation and scavenging marks

description: Despite the absence of cuttlefish in Aotearoa New Zealand waters, cuttlebones and cuttlebone fragments have been reported and collected in the country since the early twentieth century. Not all could be reliably identified. As such, here we review all cuttlebone material collected from New Zealand shores available in natural history collections, as well as literature and online records. Species were identified, through morphological features and, for the first time, DNA barcoding, as: the Australian endemic <i>Sepia apama</i> Gray, 1849 (and possibly <i>S. grahami</i> A. Reid, 2001) and the widely distributed Indo-Pacific <i>S. latimanus</i> Quoy & Gaimard, 1832. In addition, the predation/scavenging marks (praedichnia) left on the cuttlebones by other organisms are assigned to four major types and attributed to albatrosses, sharks, and dolphins. The successful extraction of DNA from cuttlebones has potential future applications, including the examination of type specimens, since species were described based only on cuttlebones.
DOI: 10.6084/m9.figshare.17036409.v3
title: CSI – Cuttlefish Sepion Investigation: overview of cuttlebones found on Aotearoa New Zealand shores and analysis of predation and scavenging marks

description: Despite the absence of cuttlefish in Aotearoa New Zealand waters, cuttlebones and cuttlebone fragments have been reported and collected in the country since the early twentieth century. Not all could be reliably identified. As such, here we review all cuttlebone material collected from New Zealand shores available in natural history collections, as well as literature and online records. Species were identified, through morphological features and, for the first time, DNA barcoding, as: the Australian endemic <i>Sepia apama</i> Gray, 1849 (and possibly <i>S. grahami</i> A. Reid, 2001) and the widely distributed Indo-Pacific <i>S. latimanus</i> Quoy & Gaimard, 1832. In addition, the predation/scavenging marks (praedichnia) left on the cuttlebones by other organisms are assigned to four major types and attributed to albatrosses, sharks, and dolphins. The successful extraction of DNA from cuttlebones has potential future applications, including the examination of type specimens, since species were described based only on cuttlebones.
DOI: 10.34740/kaggle/dsv/6282709
title: Urdu Emotion Speech Dataset
DOI: 10.6084/m9.figshare.23931429
title: Supplementary Material for: Cardiorenal Outcomes With Finerenone in Asian Patients With Chronic Kidney Disease and Type 2 Diabetes: A FIDELIO-DKD Post Hoc Analysis

description: Introduction In FIDELIO-DKD, finerenone significantly improved cardiorenal outcomes in patients with chronic kidney disease and type 2 diabetes. This post hoc analysis explores finerenone in patients from the Asian region. Methods In FIDELIO-DKD, 5674 patients with type 2 diabetes and urine albumin-to-creatinine ratio ≥30–&lt;300 mg/g and estimated glomerular filtration rate (eGFR) ≥25–&lt;60 mL/min/1.73 m2, or urine albumin-to-creatinine ratio ≥300–≤5000 mg/g and eGFR ≥25–&lt;75 mL/min/1.73 m2, treated with optimized renin–angiotensin system blockade, were randomized 1:1 to finerenone or placebo. Efficacy outcomes included a primary kidney composite (time to kidney failure, sustained decrease of ≥40% in eGFR from baseline, and death from renal causes) and secondary cardiovascular (time to cardiovascular death, non-fatal myocardial infarction, non-fatal stroke, or hospitalization for heart failure) and kidney (time to kidney failure, sustained decrease of ≥57% in eGFR from baseline, and death from renal causes) composites. Results Of 1,327 patients in the Asian subgroup, 665 received finerenone. Finerenone reduced the ≥40% and ≥57% eGFR kidney and cardiovascular composite outcomes versus placebo in the Asian subgroup (hazard ratio [HR]: 0.70; 95% confidence interval [CI]: 0.56–0.87, HR: 0.73; 95% CI: 0.55–0.97, and HR: 0.85; 95% CI: 0.59–1.21, respectively), with no apparent differences versus patients from the rest of the world (HR: 0.88; 95% CI: 0.77–1.02; P interaction 0.09, HR: 0.78; 95% CI: 0.64–0.95 P interaction 0.71, and HR: 0.86; 95% CI: 0.74–1.00; P interaction 0.95, respectively). The safety profile of finerenone was similar across subgroups. Discussion/Conclusion Finerenone produces similar cardiorenal benefits in Asian and non-Asian patients.
DOI: 10.11570/23.0003
title: Identification of molecular clouds in emission maps: a comparison between methods in the CO Heterodyne Inner Milky Way Plane Survey
DOI: 10.6084/m9.figshare.23931408
title: 数据.xlsx

description: 收集这些数据是为了撰写有关猕猴桃Omnicup系统的信息，包括2年至2017年在常州市第二人民医院产科住院的采用阴道辅助分娩的孕产妇和新生儿病例的信息，数据来源真实可靠。
DOI: 10.6084/m9.figshare.23931408.v1
title: 数据.xlsx

description: 收集这些数据是为了撰写有关猕猴桃Omnicup系统的信息，包括2年至2017年在常州市第二人民医院产科住院的采用阴道辅助分娩的孕产妇和新生儿病例的信息，数据来源真实可靠。
DOI: 10.25405/data.ncl.21982484
title: Thermal tolerance shifts in Palau

description: Supporting datasets and code for analyses in the paper entitled: Emergent increase in coral thermal tolerance reduces mass bleaching under climate change (https://doi.org/10.1038/s41467-023-40601-6)
DOI: 10.25405/data.ncl.21982484.v1
title: Thermal tolerance shifts in Palau

description: Supporting datasets and code for analyses in the paper entitled: Emergent increase in coral thermal tolerance reduces mass bleaching under climate change (https://doi.org/10.1038/s41467-023-40601-6)
DOI: 10.17617/4.dj
title: Additive manufacturing of geopolymers with hierarchical porosity for highly efficient removal of Cs+

description: Ma, S., Yang, H., Fu, S., He, P., Duan, X., Yang, Z., et al. (2023). Additive manufacturing of geopolymers with hierarchical porosity for highly efficient removal of Cs+. Journal of Hazardous Materials, 443(Part B): 130161. doi:10.1016/j.jhazmat.2022.130161.
DOI: 10.5281/zenodo.6487653
title: Data and code for the publication "Flooding frequency and floodplain topography determine abundance of microplastics in an alluvial Rhine soil"

description: <strong>Background</strong> The dataset contains data on soil properties and microplastic abundance in soil samples taken in Langel-Merkenich (Cologne, Germany). It was analysed in the paper by M. Rolf, H. Laermanns, L. Kienzler, C. Pohl, J.N. Möller, C. Laforsch, M.G.J. Löder and C. Bogner, “Flooding frequency and floodplain topography determine abundance of microplastics in an alluvial Rhine soil” https://doi.org/10.1016/j.scitotenv.2022.155141) published in Science of the Total Environment. <strong>Description of the dataset</strong> The zipped folder <strong>data.zip</strong> contains subfolders <strong>imagelab_data</strong> (contains microplastics data by depth and the blanks), <strong>additional_data</strong> (weights of aliquots and polymer densities) and <strong>soil_data</strong> (data on soil properties and images of soil profiles). <strong>images.zip</strong> contains the workflow diagram, which is plotted in the R notebook Data_read_in.Rmd. <strong>results.zip</strong> contains the results of reading and wrangling of microplastics data. <strong>Description of the code</strong> The R notebooks *.Rmd contain the code to read and wrangle the microplastics data (Data_read_in.Rmd), analyse and plot it (Analysis_plots_MP.Rmd) and plot data on soil properties (Plots_soil_data.Rmd). <strong>Disclaimer</strong> The data and code are provided as is without any warranty. <strong>Funding</strong> Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) -– Project Number 391977956 –- SFB 1357. <strong>References</strong> M. Rolf, H. Laermanns, L. Kienzler, C. Pohl, J.N. Möller, C. Laforsch, M.G.J. Löder and C. Bogner, “Flooding frequency and floodplain topography determine abundance of microplastics in an alluvial Rhine soil” https://doi.org/10.1016/j.scitotenv.2022.155141 R Core Team, 2021, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, https://www.R-project.org/
DOI: 10.3886/e119941v1-140801
title: Data and Code for: "Too young to die”. Deprivation measures combining poverty and premature mortality

description: Most measures of deprivation concentrate on deprivation among the living<br>population and, thus, ignore premature mortality. This omission leads to a<br>severe bias in the evaluation of deprivation. We propose two different measures<br>that combine information on poverty and premature mortality of a population<br>in a meaningful manner. These indices satisfy a number of desirable properties<br>unmet by all other measures combining early mortality and poverty. Moreover,<br>one of these measures is readily computable with available data and easily<br>interpretable. We show that omitting premature mortality leads to an under-<br>estimation of total deprivation in 2015 of at least 36% at the world level. At<br>the country level, the evolution of deprivation may differ substantially from the<br>picture obtained when the impact of premature mortality is ignored.<br><br>
description: Smallest Geographic Unit: country
DOI: 10.25345/c5w950z5j
title: MassIVE MSV000092639 - Gut metaproteome of COVID-19 peadiatric patients
title: Stools from paediatric patients with COVID-19 were compared with age- and gender-matched healthy subjects to understand the functional roles of the gut microbial community in etiopathogenetic mechanisms of the disease trying to unveil new therapeutic targets.
DOI: 10.34740/kaggle/dsv/6285806
title: PianoRecordingsSingleNotes
DOI: 10.5517/ccdc.csd.cc2d6885
title: CCDC 2210556: Experimental Crystal Structure Determination

description: Related Article: Thomas Allen Chappie, Christopher John Helal, Bethany Lyn Kormos, Jamison Bryce Tuttle, Patrick Robert Verhoest
|2016|U.S.Patents|||
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.23931474
title: Data.xlsx

description: Forty-eight teams, 20 athletes per team and a total of 960 athletes that participated in the soccer program of the most recent National Student Games of China were selected to participate in this data. Injuries and illnesses of the high school men’s group (HMG), the high school women’s group (HWG), the college men’s group (CMG) and the college women’s group (CWG).