cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26050/wdcc/ar6.c6acnrces
title: IPCC DDC: NCAR CESM2-WACCM model output prepared for CMIP6 AerChemMIP

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.AerChemMIP.NCAR.CESM2-WACCM' 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 climate model, released in 2018, includes the following components: aerosol: MAM4 (same grid as atmos), atmos: WACCM6 (0.9x1.25 finite volume grid; 288 x 192 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 (320 x 384 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: 10.5281/zenodo.7858261
title: Over-coupled resonator for broadband surface enhanced infrared absorption (SEIRA)

description: This repository contains all datasets and MATLAB codes used in the paper "Over-coupled resonator for broadband surface enhanced infrared absorption (SEIRA)" 3 folders can be found BMM contains a main python script that reproduces the electromagnetic computations of the article CMT : contains 3 scripts <strong>Absorption2D.m</strong> computes a 2D map of the absorption from the resonator from eq.1 of the main text as a function of f and (ω − ωr )/γnr . <strong>DeltaRm.m</strong> plots the analytical expression of Delta Rm computed in the SI as a function of f. <strong>DRanalytics.m</strong> plots the reflexion with the absorber as a function of omega. The expression is derived from the coupled mode formalism as described in the supplemental information. Data_exp: contains raw experimental datasets of the figures. over_coupling_package : contains scripts to reproduce the electromagnetic simulations presented in the paper =============================== PAPER ABSTRACT: Detection of molecules is a key issue for many applications. Surface enhanced infrared absorption (SEIRA) uses arrays of resonant nanoantennas with good quality factors which can be used to locally enhance the illumination of molecules. The technique has proved to be an effective tool to detect small amount of material. However nanoresonators can detect molecules on a narrow bandwidth so that a set of resonators is necessary to identify a molecule fingerprint. Here, we introduce an alternative paradigm and use low quality factor resonators with large radiative losses (over-coupled resonators). The bandwidth enables to detect all absorption lines between 5 and 10 µm, reproducing the molecular absorption spectrum. Counterintuitively, despite a lower quality factor, the system sensitivity is improved and we report a reflectivity variation as large as one percent per nanometer of molecular layer of PMMA. This paves the way to specific identification of molecules. We illustrate the potential of the technique with the detection of the explosive precursor 2,4-dinitrotoluene (DNT). There is a fair agreement with electromagnetic simulations and we also introduce an analytic model of the SEIRA signal obtained in the over-coupling regime.
DOI: 10.5281/zenodo.7858260
title: Over-coupled resonator for broadband surface enhanced infrared absorption (SEIRA)

description: This repository contains all datasets and MATLAB codes used in the paper "Over-coupled resonator for broadband surface enhanced infrared absorption (SEIRA)" 3 folders can be found BMM contains a main python script that reproduces the electromagnetic computations of the article CMT : contains 3 scripts <strong>Absorption2D.m</strong> computes a 2D map of the absorption from the resonator from eq.1 of the main text as a function of f and (ω − ωr )/γnr . <strong>DeltaRm.m</strong> plots the analytical expression of Delta Rm computed in the SI as a function of f. <strong>DRanalytics.m</strong> plots the reflexion with the absorber as a function of omega. The expression is derived from the coupled mode formalism as described in the supplemental information. Data_exp: contains raw experimental datasets of the figures. over_coupling_package : contains scripts to reproduce the electromagnetic simulations presented in the paper =============================== PAPER ABSTRACT: Detection of molecules is a key issue for many applications. Surface enhanced infrared absorption (SEIRA) uses arrays of resonant nanoantennas with good quality factors which can be used to locally enhance the illumination of molecules. The technique has proved to be an effective tool to detect small amount of material. However nanoresonators can detect molecules on a narrow bandwidth so that a set of resonators is necessary to identify a molecule fingerprint. Here, we introduce an alternative paradigm and use low quality factor resonators with large radiative losses (over-coupled resonators). The bandwidth enables to detect all absorption lines between 5 and 10 µm, reproducing the molecular absorption spectrum. Counterintuitively, despite a lower quality factor, the system sensitivity is improved and we report a reflectivity variation as large as one percent per nanometer of molecular layer of PMMA. This paves the way to specific identification of molecules. We illustrate the potential of the technique with the detection of the explosive precursor 2,4-dinitrotoluene (DNT). There is a fair agreement with electromagnetic simulations and we also introduce an analytic model of the SEIRA signal obtained in the over-coupling regime.
DOI: 10.6084/m9.figshare.23904630
title: Scopus Dataset New Version vs Old Version

description: Dataset diunduh 8 Agustus 2023 pukul 15.46 WIB dengan <i>search query</i>: TITLE-ABS-KEY ( "social annotation" )Tutorial: https://www.erickunto.com/2023/08/mengatasi-gagal-ekstrak-dataset-scopus-new-version-di-openrefine.html
DOI: 10.6084/m9.figshare.23904669
title: Supplementary Material for: Evaluation the Impact of Obesity and Different Metabolic Status on the Prognosis of Hospitalized Patients with Inflammatory Bowel Disease: A Cohort Study.

description: Introduction: Obesity is associated with an increased risk of inflammatory bowel disease (IBD), whereas not all obesity individuals have the same effect. In individuals with obesity, the role of metabolic status in the readmission of IBD remains unclear. Our study aimed to evaluate the association between different obesity metabolic phenotypes and the prognosis of IBD patients. Methods: We conducted a longitudinal cohort study using Nationwide Readmission Database (2018 sample). Out of 12,928,231 discharge records, 63,748 records with a discharge diagnosis of IBD were identified for analysis. Cox proportional hazard ratio (HR) with 95% confidence interval (CI) was calculated adjusting for potential confounders. Results: During 180-day follow-up in IBD patients with different obesity metabolic phenotypes, all-cause readmission rate, inpatient mortality rate, unplanned readmission rate, total charge, hospitalized length of stay were statistical different (all P&lt;0.001). After multivariate Cox regression analysis, IBD patients with metabolically unhealthy nonobese (MUNO) had higher risk of readmission (all-cause and unplanned) (HR 1.04, 95% CI 1.00-1.08 and HR 1.06, 95% CI 1.02-1.10), and that with metabolically unhealthy obesity (MUO) had higher risk of unplanned readmission (HR 1.08, 95% CI 1.02-1.15). In subgroup analysis, both MUNO group and MUO group had higher risk of readmission (all-cause and unplanned) in UC subgroup; but only MUNO group had higher risk of readmission (all-cause and unplanned) (HR 1.05, 95% CI 1.00-1.10 and HR 1.06, 95%CI 1.01-1.12) in CD subgroup. Conclusion: Metabolic abnormalities were associated with an increased risk of readmission in patients with IBD, regardless of obesity.
DOI: 10.22024/unikent/01.01.191
title: Test responses: Species identification by experts and non-experts: comparing images from field guides

description: Accurate species identification is fundamental when recording ecological data. However, the ability to correctly identify organisms visually is rarely questioned. We investigated how experts and non-experts compared in the identification of bumblebees, a group of insects of considerable conservation concern. Experts and non-experts were asked whether two concurrent bumblebee images depicted the same or two different species. Overall accuracy was below 60% and comparable for experts and non-experts. However, experts were more consistent in their answers when the same images were repeated, and more cautious in committing to a definitive answer. Our findings demonstrate the difficulty of correctly identifying bumblebees using images from field guides. Such error rates need to be accounted for when interpreting species data, whether or not they have been collected by experts. We suggest that investigation of how experts and non-experts make observations should be incorporated into study design, and could be used to improve training in species identification.
DOI: 10.6084/m9.figshare.23904639
title: Chinese Household Finance Survey

description: Supporting data for "Experience Effects in Private Health Insurance Take-up".
DOI: 10.5517/cc13m0sj
title: CCDC 1031177: Experimental Crystal Structure Determination

description: Related Article: N.V. Gogoleva, E.N. Zorina-Tikhonova, M.A. Kiskin, A.A. Sidorov, I.L. Eremenko|2014|Izv.Akad.Nauk SSSR,Ser.Khim.||2741|
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/cc13m0rh
title: CCDC 1031176: Experimental Crystal Structure Determination

description: Related Article: N.V. Gogoleva, E.N. Zorina-Tikhonova, M.A. Kiskin, A.A. Sidorov, I.L. Eremenko|2014|Izv.Akad.Nauk SSSR,Ser.Khim.||2741|
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/cc142dzl
title: CCDC 1045009: Experimental Crystal Structure Determination

description: Related Article: Ulrich Florke|2015|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.cc20xzb8
title: CCDC 1874890: Experimental Crystal Structure Determination

description: Related Article: Ulrich Flörke, Kai Stührenberg, Matthias Bauer|2018|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.cc1q7223
title: CCDC 1585714: Experimental Crystal Structure Determination

description: Related Article: Seulgi Kim, Dong Hee Kang, Huiyeong Ju, Eunji Lee, Jong Hwa Jung, Shim Sung Lee, Kyu Seong Choi, In-Hyeok Park|2018|Inorg.Chim.Acta|478|44|doi:10.1016/j.ica.2018.03.020
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.cc1q7234
title: CCDC 1585715: Experimental Crystal Structure Determination

description: Related Article: Seulgi Kim, Dong Hee Kang, Huiyeong Ju, Eunji Lee, Jong Hwa Jung, Shim Sung Lee, Kyu Seong Choi, In-Hyeok Park|2018|Inorg.Chim.Acta|478|44|doi:10.1016/j.ica.2018.03.020
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.cc1q7245
title: CCDC 1585716: Experimental Crystal Structure Determination

description: Related Article: Seulgi Kim, Dong Hee Kang, Huiyeong Ju, Eunji Lee, Jong Hwa Jung, Shim Sung Lee, Kyu Seong Choi, In-Hyeok Park|2018|Inorg.Chim.Acta|478|44|doi:10.1016/j.ica.2018.03.020
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.cc22dx5l
title: CCDC 1919029: Experimental Crystal Structure Determination

description: Related Article: Nazanin Kordestani, Hadi Amiri Rudbari, Alexandra R. Fernandes, Luís R. Raposo, Pedro V. Baptista, Daniela Ferreira, Giuseppe Bruno, Giovanni Bella, Rosario Scopelliti, Jason D. Braun, David E. Herbert, Olivier Blacque|2020|ACS Comb. Sci.|22|89|doi:10.1021/acscombsci.9b00202
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.cc22yb8n
title: CCDC 1934811: Experimental Crystal Structure Determination

description: Related Article: Maximilian H. H. Wurzenberger, Benjamin R. G. Bissinger, Marcus Lommel, Michael S. Gruhne, Norbert Szimhardt, Jörg Stierstorfer|2019|New J.Chem.|43|18193|doi:10.1039/C9NJ03937F
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.cc23yfyg
title: CCDC 1964716: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Arnold Ou, Reto Dorta|2019|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.cc284tqz
title: CCDC 2090011: Experimental Crystal Structure Determination

description: Related Article: Georgios Malis, Elena Geromichalou, George D. Geromichalos, Antonios G. Hatzidimitriou, George Psomas|2021|J.Inorg.Biochem.|224|111563|doi:10.1016/j.jinorgbio.2021.111563
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.cc2d94hc
title: CCDC 2213322: Experimental Crystal Structure Determination

description: Related Article: Karol Musioł, Jan Janczak, Katarzyna Helios, Maciej Witwicki, Magdalena Fitta, Robert Pełka, Agnieszka Wojciechowska|2023|Res.Chem.Intermed.|49|3563|doi:10.1007/s11164-023-04957-0
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.8223951
title: scINRB

description: 该数据集包含模拟数据和实验数据。 模拟数据集包括由 Splatter生成的具有五个不同大小的模拟数据,每个大小包含五个不同的辍学率。每个.rds文件都包含模拟的辍学数据,真实数据和批量数据。 实验数据集包括CellBench基准测试scRNA-seq数据集,ENCODE细胞系数据和HCA数据。
DOI: 10.26050/wdcc/ar6.c6acnccnl
title: IPCC DDC: NCC NorESM2-LM model output prepared for CMIP6 AerChemMIP

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.AerChemMIP.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.23904717
title: Datasets

description: Datasets for the paper "The effects of group adaptation on task performance: An agent-based approach"
DOI: 10.15128/r17d278t03k
title: The Cañaveral de León stela (Huelva, Spain) : A monumental sculpture in a landscape of settlements and pathways [dataset]

description: A newly discovered prehistoric stela from Cañaveral de León (Huelva, Spain) is studied through a combination of scientific methods, including thin section petrography and lithological contextualisation, various state-of-the-art digital imaging techniques for the rendering of the engraved motifs (3D modelling and Reflectance Transformation Imaging), and detection of pigments on its surface (Principal Components Analysis, HSI-contrast stretch, ferric pigments index and algebraic operations between bands), as well as archaeological surveys aimed at establishing the landscape context the stela was part of. The results reveal this stela is analogous to a larger series of late prehistoric statues portraying personages with ‘headdresses’, largely concentrated in the Iberian south-west and often connected to Bronze Age settlements and burial sites. In addition, the Cañaveral de León stela is closely associated to an old pathway that has had a historical prominence in terms of long-distance mobility, connecting various regions of western Spain in a South-North direction.
description: Reflectance Transformation Imaging (RTI)
DOI: 10.34740/kaggle/dsv/6268990
title: Egypt Gold Prices | Daily Updated
DOI: 10.5517/ccdc.csd.ccx10yw
title: CCDC 835138: Experimental Crystal Structure Determination

description: Related Article: Huilu Wu, Fan Kou, Fei Jia, Bin Liu, Jingkun Yuan, Ying Bai|2011|Bioinorg.Chem.Appl.|2011|105431|doi:10.1155/2011/105431
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.