cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3983636
title: Deformation Enhanced Diffusion in Aluminium Alloys - Supporting data

description: Supporting data and manuscript for the paper "Deformation Enhanced Diffusion in Aluminium Alloys" published in Metallurgical and Materials Transactions A.
DOI: 10.6084/m9.figshare.21476595
title: Data file for "Does the Median Voter or Special Interests Determine State Highway Expenditures?"

description: Data file for: Joshua Hall and Shree Pokharel, “Does the Median Voter or Special Interests Determine State Highway Expenditures? Recent Evidence,” <em>Atlantic Economic Journal </em>45(1) 2017: 59-69.
DOI: 10.6084/m9.figshare.21476595.v1
title: Data file for "Does the Median Voter or Special Interests Determine State Highway Expenditures?"

description: Data file for: Joshua Hall and Shree Pokharel, “Does the Median Voter or Special Interests Determine State Highway Expenditures? Recent Evidence,” <em>Atlantic Economic Journal </em>45(1) 2017: 59-69.
DOI: 10.17632/7jf5jdwh3g.1
title: In Situ Geologic Context Map: Mars 2020 Perseverance Rover Observations - shape files

description: These are preliminary shape files from in situ geologic context mapping of Perseverance rover. These files cover mapping completed in the first 465 sols.
Reference: Crumpler et al., 2022. In Situ Geologic Context Mapping Transect on the Floor of Jezero Crater from Mars 2020 Perseverance Rover Observations. Journal of Geophysical Research, Planets.
DOI: 10.17029/cdc7d808-9b00-485a-9937-22295657eca7
title: Dataset for 'Monitoring Prisoners Preparing for Release: Who ‘Fails’ in Open Prison Conditions?'.

description: The file contains the data relating to the model of security recall. This model predicts recall/no recall from open prison to secure conditions. The data file is currently under temporary embargo.
DOI: 10.5517/ccdc.csd.cc10qtj2
title: CCDC 945454: Experimental Crystal Structure Determination

description: Related Article: A.V. Rybakova, D.G. Kim, P.A. Slepukhin, V. N. Charushin|2013|Yuzhno-Ural'skii Gosudarst. Univ.Vestn. Ser.Khim.|5|10-3|
description: Related Article: P.A.Slepukhin, D.G.Kim|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.cc10sqdx
title: CCDC 947279: Experimental Crystal Structure Determination

description: Related Article: P.A. Slepukhin, D.G. Kim, V.N. Charushin|2013|Yuzhno-Ural'skii Gosudarst. Univ.Vestn. Ser.Khim.|5|42-4|
description: Related Article: P.A.Slepukhin, D.G.Kim|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.cc2220hp
title: CCDC 1908561: Experimental Crystal Structure Determination

description: Related Article: Wendeng Li, He Zhang, Kai Chen, Huanfeng Jiang, Jianwei Sun, Shifa Zhu|2022|Chemical Science|13|12396|doi:10.1039/D2SC03524C
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.cc26q5ty
title: CCDC 2047110: Experimental Crystal Structure Determination

description: Related Article: Mithilesh Kumar Nayak, Pallavi Sarkar, Benedict Josua Elvers, Sakshi Mehta, Fangyuan Zhang, Nicolas Chrysochos, Ivo Krummenacher, T. Vijayakanth, Ramakirushnan Surya Narayanan, Ramapada Dolai, Biswarup Roy, Vishal Malik, Hemant Rawat, Abhishake Mondal, Ramamoorthy Boomishankar, Swapan K. Pati, Holger Braunschweig, Carola Schulzke, Prince Ravat, Anukul Jana|2022|Chemical Science|13|12533|doi:10.1039/D2SC03937K
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.cc26q5w0
title: CCDC 2047112: Experimental Crystal Structure Determination

description: Related Article: Mithilesh Kumar Nayak, Pallavi Sarkar, Benedict Josua Elvers, Sakshi Mehta, Fangyuan Zhang, Nicolas Chrysochos, Ivo Krummenacher, T. Vijayakanth, Ramakirushnan Surya Narayanan, Ramapada Dolai, Biswarup Roy, Vishal Malik, Hemant Rawat, Abhishake Mondal, Ramamoorthy Boomishankar, Swapan K. Pati, Holger Braunschweig, Carola Schulzke, Prince Ravat, Anukul Jana|2022|Chemical Science|13|12533|doi:10.1039/D2SC03937K
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.cc26q5y2
title: CCDC 2047114: Experimental Crystal Structure Determination

description: Related Article: Mithilesh Kumar Nayak, Pallavi Sarkar, Benedict Josua Elvers, Sakshi Mehta, Fangyuan Zhang, Nicolas Chrysochos, Ivo Krummenacher, T. Vijayakanth, Ramakirushnan Surya Narayanan, Ramapada Dolai, Biswarup Roy, Vishal Malik, Hemant Rawat, Abhishake Mondal, Ramamoorthy Boomishankar, Swapan K. Pati, Holger Braunschweig, Carola Schulzke, Prince Ravat, Anukul Jana|2022|Chemical Science|13|12533|doi:10.1039/D2SC03937K
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.cc26q5z3
title: CCDC 2047115: Experimental Crystal Structure Determination

description: Related Article: Mithilesh Kumar Nayak, Pallavi Sarkar, Benedict Josua Elvers, Sakshi Mehta, Fangyuan Zhang, Nicolas Chrysochos, Ivo Krummenacher, T. Vijayakanth, Ramakirushnan Surya Narayanan, Ramapada Dolai, Biswarup Roy, Vishal Malik, Hemant Rawat, Abhishake Mondal, Ramamoorthy Boomishankar, Swapan K. Pati, Holger Braunschweig, Carola Schulzke, Prince Ravat, Anukul Jana|2022|Chemical Science|13|12533|doi:10.1039/D2SC03937K
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.cc26q5vz
title: CCDC 2047111: Experimental Crystal Structure Determination

description: Related Article: Mithilesh Kumar Nayak, Pallavi Sarkar, Benedict Josua Elvers, Sakshi Mehta, Fangyuan Zhang, Nicolas Chrysochos, Ivo Krummenacher, T. Vijayakanth, Ramakirushnan Surya Narayanan, Ramapada Dolai, Biswarup Roy, Vishal Malik, Hemant Rawat, Abhishake Mondal, Ramamoorthy Boomishankar, Swapan K. Pati, Holger Braunschweig, Carola Schulzke, Prince Ravat, Anukul Jana|2022|Chemical Science|13|12533|doi:10.1039/D2SC03937K
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: 10.17632/xtjs527cgr.1
title: Seagrass macrofaunal assemblage data, North Stradbroke Island, 2013

description: Abundance data for the members of the macrofaunal assemblage inhabiting intertidal Zostera along the Rainbow Channel coast of North Stradbroke Island, Moreton Bay, Queensland, in spring 2013.  All data collected using 0.0054 m^2 cores at three sites Deanbilla, Gumpi and Capembah, as published in Marine Ecology Progress Series, 504, 147-158. doi:10.3354/meps10770.
DOI: 10.5281/zenodo.5156540
title: Multiphysics Modelling of Gaseous Fission Products in the Molten Salt Fast Reactor - Dataset

description: Dataset associated to the Nuclear Engineering and Design paper "Multiphysics Modelling of Gaseous Fission Products in the Molten Salt Fast Reactor".
DOI: 10.5281/zenodo.5156539
title: Multiphysics Modelling of Gaseous Fission Products in the Molten Salt Fast Reactor - Dataset

description: Dataset associated to the Nuclear Engineering and Design paper "Multiphysics Modelling of Gaseous Fission Products in the Molten Salt Fast Reactor".
DOI: 10.17632/684f8yfwpx.1
title: Honduran Selection Test for the Lavoisier International Chemistry Olympiad

description: Research in educational chemistry should focus on increasing the level of talented students in the area. These data present the test that was used to select the Honduran team for the Lavoisier International Chemistry Olympiad as well as the answers provided by the students. These data can be used in educational chemistry research as well as in reports of performance and educational advancement.
DOI: 10.17632/684f8yfwpx.2
title: Honduran Selection Test for the Lavoisier International Chemistry Olympiad

description: Research in educational chemistry should focus on increasing the level of talented students in the area. These data present the test that was used to select the Honduran team for the Lavoisier International Chemistry Olympiad as well as the answers provided by the students. These data can be used in educational chemistry research as well as in reports of performance and educational advancement.
DOI: 10.17632/684f8yfwpx.3
title: Honduran Selection Test for the Lavoisier International Chemistry Olympiad

description: Research in educational chemistry should focus on increasing the level of talented students in the area. These data present the test that was used to select the Honduran team for the Lavoisier International Chemistry Olympiad as well as the answers provided by the students. These data can be used in educational chemistry research as well as in reports of performance and educational advancement.
DOI: 10.17632/twzssgtc69.1
title: Dataset for Cooling Rate-Dependent Properties of Polyphenylene Sulfide (PPS) and Carbon Fiber Reinforced PPS (CF/PPS) specimens

description: In this dataset, cooling-rate-dependent properties of polyphenylene sulfide (PPS) and carbon fiber reinforced PPS (CF/PPS) manufactured with different cooling rates (1, 5, and 10 °C/min) are included. Cooling-rate-dependent thermal properties (crystallization temperature, glass transition temperature, melting temperature, and coefficients of thermal expansion), physical properties (crystallinity and density), mechanical properties (moduli, yield stress, ultimate stress, and stress–strain curves), and fracture properties (load–displacement curves and R-curves) are presented. Detailed information are presented in a research article linked to this dataset.
"summary-of-all-data.xlsx": Summary of all data
"PPS-tensile-stress-strain-curves.xlsx": Tensile stress–strain curves of neat PPS
"PPS-compressive-stress-strain-curves.xlsx": Compressive stress–strain curves of neat PPS
"PPS-shear-stress-strain-curves.xlsx": Shear stress–strain curves of neat PPS
"CFPPS-shear-stress-strain-curves.xlsx": Shear stress–strain curves of CF/PPS
"CFPPS-transverse-stress-strain-curves.xlsx": Transverse tensile stress–strain curves of CF/PPS
"CFPPS-DCB-curves.xlsx": Load–displacement curves and R-curves of DCB (mode I fracture toughness) tests
"CFPPS-ENF-curves.xlsx":  Load–displacement curves and R-curves of ENF (mode II fracture toughness) tests
DOI: 10.6073/pasta/99e17a0aa3a12b0c75000d394e6d79b1
title: SBC LTER : Reef: Dissolved nitrogen fluxes from kelp forest sediment

description: Permeable marine sediments are biogeochemically active and may contribute dissolved nutrients to support primary production in coastal regions. This study examined the potential of permeable marine sediments near giant kelp forests in the Santa Barbara Channel, California to serve as a source of dissolved nutrients to the overlying water column to support the observed growth of kelp during summer months when nitrate availability is low. Over the course of three summers (2017-2019) sediment cores were collected at three nearshore kelp forest sites (ABUR, MICR, GOLB), and flow-through bioreactor incubations were conducted to measure nutrient fluxes. Data are contained in two tables: 1) changes in nutrient concentrations measured over the course of both control (seawater only) and experimental (seawater + sediment) incubations (µM hr-1) and 2) net fluxes of nutrients from sediments (µmol m-2 hr-1). This data package is to support manuscript “Lowman H., Hirsch M., Brezinkski M., and Melack J. Examining the Potential of Sandy Marine Sediments Surrounding Giant Kelp Forests to Provide Recycled Nutrients for Growth. Journal of Coastal Research.”
DOI: 10.5281/zenodo.6627914
title: Data to support "Quantum Machine Learning for Chemical Reactions"

description: 4 datasets of reaction data: 1. SN2 dataset adapted from https://iopscience.iop.org/article/10.1088/2632-2153/aba822/meta 2. ee dataset from https://pubs.rsc.org/en/content/articlehtml/2021/sc/d1sc00482d 3. Grambow dataset from https://www.nature.com/articles/s41597-020-0460-4 4. Our dataset: hfb22 of 2,451 structures of reactant and product structures and associated barriers In all cases, there are xyz files of reactant(s) and product(s) structures, and a csv file of associated properties (reaction energies for the first case, e.e. values for the second, and barriers for the third and fourth). For example usage see https://github.com/lcmd-epfl/b2r2-reaction-rep
DOI: 10.5281/zenodo.6627913
title: Data to support "Physics-based representations for machine learning properties of chemical reactions

description: 4 datasets of reaction data: 1. SN2-20 dataset adapted from https://iopscience.iop.org/article/10.1088/2632-2153/aba822/meta 2. Proparg-21-TS dataset from https://pubs.rsc.org/en/content/articlehtml/2021/sc/d1sc00482d 3. GDB7-22-TS dataset from https://www.nature.com/articles/s41597-020-0460-4 4. Our Hydroform-22-TS dataset of 2,350 structures of reactant and product structures and associated barriers In all cases, there are xyz files of reactant(s) and product(s) structures, and a csv file of associated properties (reaction energies for the first case, e.e. values for the second, and barriers for the third and fourth). For example usage see https://github.com/lcmd-epfl/b2r2-reaction-rep
DOI: 10.5281/zenodo.6937747
title: Data to support "Physics-based representations for machine learning properties of chemical reactions

description: 4 datasets of reaction data: 1. SN2-20 dataset adapted from https://iopscience.iop.org/article/10.1088/2632-2153/aba822/meta 2. Proparg-21-TS dataset from https://pubs.rsc.org/en/content/articlehtml/2021/sc/d1sc00482d 3. GDB7-22-TS dataset from https://www.nature.com/articles/s41597-020-0460-4 4. Our Hydroform-22-TS dataset of 2,350 structures of reactant and product structures and associated barriers In all cases, there are xyz files of reactant(s) and product(s) structures, and a csv file of associated properties (reaction energies for the first case, e.e. values for the second, and barriers for the third and fourth). For example usage see https://github.com/lcmd-epfl/b2r2-reaction-rep
DOI: 10.5281/zenodo.7274529
title: Data to support "Physics-based representations for machine learning properties of chemical reactions

description: 4 datasets of reaction data: 1. SN2-20 dataset adapted from https://iopscience.iop.org/article/10.1088/2632-2153/aba822/meta 2. Proparg-21-TS dataset from https://pubs.rsc.org/en/content/articlehtml/2021/sc/d1sc00482d 3. GDB7-22-TS dataset from https://www.nature.com/articles/s41597-020-0460-4 4. Our Hydroform-22-TS dataset of 2,350 structures of reactant and product structures and associated barriers In all cases, there are xyz files of reactant(s) and product(s) structures, and a csv file of associated properties (reaction energies for the first case, e.e. values for the second, and barriers for the third and fourth). For example usage see https://github.com/lcmd-epfl/b2r2-reaction-rep
DOI: 10.6084/m9.figshare.21476664
title: infograma._assinado.pdf

description: Projeto do graduando Bruno Cosme do curso de Arquivologia da UFPB. Infograma de correlação entre a Arquivologia e a Ciência da Informação.
DOI: 10.6084/m9.figshare.21476664.v1
title: infograma._assinado.pdf

description: Projeto do graduando Bruno Cosme do curso de Arquivologia da UFPB. Infograma de correlação entre a Arquivologia e a Ciência da Informação.
DOI: 10.15129/e801f307-ab13-494e-9006-47d7b20c6549
title: Rotating Disk Electrode (RDE) COMSOL Multiphysics Models

description: Rotating disc electrode COMSOL Multiphysics models; 2-D axisymmetric, 3-D, primary, secondary and tertiary current distribution.
DOI: 10.5281/zenodo.7274470
title: Data for "Reinfections and cross-protection in the 1918/19 influenza pandemic: Revisiting a survey among male and female factory workers"

description: Dataset underlying the analysis of the paper: "Reinfections and cross-protection in the 1918/19 influenza pandemic: Revisiting a survey among male and female factory workers" The dataset includes the following variables: Sex - male, female Age2 - age in full years Grippe - influenza (oui = yes, non=no) Times_grippe - how often did the influenza occur (0-3) Reinfection - 0=no, 1=yes Reinfection_forte - was the reinfection stronger or the same (1) or weaker (0) as the first infection? Severeness - 1=mild, 2 and 3 = strong reinf_v1 - reinfection first wave 0=no, 1=yes vage1 - infection first wave 0=no, 1=yes reinf_v2 - reinfection second wave 0=no, 1=yes vage2 - infection second wave 0=no, 1=yes reinf_v3 - reinfection third wave 0=no, 1=yes vage3 - infection third wave 0=no, 1=yes reinf_y1919 - reinfection winter 1919 0=no, 1=yes vage_1919 - infection winter 1919 0=no, 1=yes Grippe1890 - illness 1890 0=no, 1=yes
description: Funding: SNSF project number 197305 Stiftung für Wissenschaftliche Forschung (STWF) der Universität Zürich: Grant number STWF-21-011)
DOI: 10.5281/zenodo.7274469
title: Data for "Reinfections and cross-protection in the 1918/19 influenza pandemic: Revisiting a survey among male and female factory workers"

description: Dataset underlying the analysis of the paper: "Reinfections and cross-protection in the 1918/19 influenza pandemic: Revisiting a survey among male and female factory workers" The dataset includes the following variables: Sex - male, female Age2 - age in full years Grippe - influenza (oui = yes, non=no) Times_grippe - how often did the influenza occur (0-3) Reinfection - 0=no, 1=yes Reinfection_forte - was the reinfection stronger or the same (1) or weaker (0) as the first infection? Severeness - 1=mild, 2 and 3 = strong reinf_v1 - reinfection first wave 0=no, 1=yes vage1 - infection first wave 0=no, 1=yes reinf_v2 - reinfection second wave 0=no, 1=yes vage2 - infection second wave 0=no, 1=yes reinf_v3 - reinfection third wave 0=no, 1=yes vage3 - infection third wave 0=no, 1=yes reinf_y1919 - reinfection winter 1919 0=no, 1=yes vage_1919 - infection winter 1919 0=no, 1=yes Grippe1890 - illness 1890 0=no, 1=yes
description: Funding: SNSF project number 197305 Stiftung für Wissenschaftliche Forschung (STWF) der Universität Zürich: Grant number STWF-21-011)
DOI: 10.15129/19bd4e0d-6721-41ad-88d4-4b64c572059d
title: Scaled-Up UoS Disk COMSOL Multiphysics Models

description: Model of the UoS disk mandrel used for validation experiments in the 18 L prototype electroforming tank reactor. 3-D models for primary, secondary, and tertiary current distribution. Tertiary current distributions models assuming water-based electroneutrality with two and four electrolyte components.
DOI: 10.15129/2b4a7960-f1ba-4fc8-ba8a-8fb7b8393365
title: Vane COMSOL Multiphysics Models

description: Radius vane mandrel COMSOL Multiphysics models for primary and secondary current distribution. Secondary current distribution model studying "masks". Access to data restrcited due to Commercial constraints
DOI: 10.6084/m9.figshare.21065447
title: Adjuvanted versus non-adjuvanted standard-dose influenza vaccines in preventing all-cause hospitalizations in the elderly: a cohort study with nested case-control analyses over 18 influenza seasons

description: The higher effectiveness of adjuvanted trivalent influenza vaccine (aTIV) versus non-adjuvanted (na) formulations in preventing all-cause hospitalization has been demonstrated for a single influenza season and in institutionalized elderly only. This study evaluated the relative vaccine effectiveness for aTIV vs. non-adjuvanted trivalent (naTIV) and/or quadrivalent (naQIV) influenza vaccines in preventing all-cause hospitalizations across 18 influenza seasons in primary care. Using Health Search Database, a nested case-control analysis was conducted in a cohort of older adults being vaccinated with aTIV or naTIV/naQIV. Conditional logistic regression was adopted to estimate the odds ratio (OR) of all-cause hospitalizations occurred during the epidemic period. Of 58,252 patients vaccinated with aTIV and naTIV/naQIV for the first time, 2,504 cases of all-cause hospitalization (3.46 per 1,000 person-weeks) during the 18 influenza seasons were identified. Compared with naTIV/naQIV, aTIV was associated with a 12% reduced the odds of all-cause hospitalizations (OR 0.88; 95% CI: 0.80–0.97). In an 18-season cohort of older adults, aTIV reduced the risk of all-cause hospitalizations when compared with naTIV/naQIV. Our findings confirm additional benefits for adjuvanted influenza vaccines in older adults.
DOI: 10.6084/m9.figshare.21277265
title: Health economic analysis of vaccine options for the polio eradication endgame: 2022-2036

description: Multiple vaccine options are available for polio prevention and risk management. Integrated global risk, economic, and poliovirus transmission modeling provides a tool to explore the dynamics of ending all use of one or more poliovirus vaccines to simplify the polio eradication endgame. With global reported cases of poliomyelitis trending higher since 2016, we apply an integrated global model to simulate prospective vaccine policies and strategies for OPV-using countries starting with initial conditions that correspond to the epidemiological poliovirus transmission situation at the beginning of 2022. Abruptly ending all OPV use in 2023 and relying only on IPV to prevent paralysis with current routine immunization coverage would lead to expected reestablished endemic transmission of poliovirus types 1 and 2, and approximately 150,000 expected cases of poliomyelitis per year. Alternatively, if OPV-using countries restart trivalent OPV (tOPV) use for all immunization activities and end IPV use, the model shows the lowest anticipated annual polio cases and lowest costs. Poor global risk management and coordination of OPV cessation remain a critical failure mode for the polio endgame, and national and global decision makers face difficult choices due to multiple available polio vaccine options and immunization strategies.