cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3497066
title: QLKNN10D training set

description: This dataset contain a large-scale run of 300 million flux calculations of the quasilinear gyrokinetic transport model QuaLiKiz. QuaLiKiz is used in many Fusion integrated modelling suites within Europe, and is openly available at qualikiz.com. This dataset was generated with v2.4.0 'Big dataset edition' of QuaLiKiz, see https://gitlab.com/qualikiz-group/QuaLiKiz/-/tags/v2.4.0. Note that GyroBohm fluxes were rescaled to match the normalizations of fluxes with a instead of R0, as is the case for v2.4.1 and later. The dataset was used to train neural network versions of QuaLiKiz, which when integrated in modelling suites allow for near-real time tokamak core transport simulations. Please check our proof-of-principle and application in RAPTOR, short paper for the EPS 2019 conference, and published in the Physics of Plasmas ICDDPS2 Special Issue https://aip.scitation.org/doi/10.1063/1.5134126. This paper is also available on arXiv https://arxiv.org/abs/1911.05617 and zenodo 10.5281/zenodo.3595558. Related repositories: Training, plotting, filtering, and auxiliary tools https://gitlab.com/Karel-van-de-Plassche/QLKNN-develop QuaLiKiz related tools https://gitlab.com/qualikiz-group/QuaLiKiz-pythontools FORTRAN QLKNN implementation with wrapper for Python and MATLAB https://gitlab.com/qualikiz-group/QLKNN-fortran Weights and biases of 'hyperrectangle style' QLKNN https://gitlab.com/qualikiz-group/qlknn-hyper
description: This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014-2018 and 2019-2020 under grant agreement No 633053. The views and opinions expressed herein do not necessarily reflect those of the European Commission.
description: {"references": ["J. Citrin et al. (2015). Real-time capable first principle based modelling of tokamak turbulent transport (doi.org/10.1088/0029-5515/55/9/092001)", "F. Felici et al. (2018). Real-time-capable prediction of temperature and density profiles in a tokamak using RAPTOR and a first-principle-based transport model (doi.org/10.1088/0029-5515/55/9/092001)"]}
DOI: 10.5281/zenodo.4680409
title: Bistable nanomagnet as programable phase inverter for spin waves

description: Raw data associated to the manuscript “Bistable nanomagnet as programable phase inverter for spin waves”, Applied Physics Letters <strong>118</strong>, 000000 (2021), DOI: https://doi.org/10.1063/5.0048825 Information about file formats and measurement parameters are described in text files in the specific folders. For micromagnetic simulations Mumax 3.10 was used. The simulation scripts (*.mx3 files) and exemplary plotting scripts in Python 3.9 (*.py files) are included.<br> <br> Paper abstract:<br> To realize spin wave logic gates, programable phase inverters are essential. We image using phase-resolved Brillouin light scattering microscopy propagating spin waves in a one-dimensional magnonic crystal consisting of dipolarly coupled magnetic nanostripes. We demonstrate phase shifts upon a single nanostripe of opposed magnetization. Using micromagnetic simulations, we model our experimental finding in a wide parameter space of bias fields and wave vectors. We find that low-loss phase inversion is achieved, when the internal field of the oppositely magnetized nanostripe is tuned such that the latter supports a resonant standing spin wave mode with an odd quantization number at the given frequency. Our results are key for the realization of phase inverters with optimized signal transmission. <br>
description: We acknowledge the financial support by the Swiss National Science Foundation (SNSF) via grant number 163016.
DOI: 10.5281/zenodo.5324321
title: graphene/hexagonal-BN grain boundary samples

description: Samples (atom coordinates in .xyz format) for graphene/hexagonal-BN grain boundaries studied in the following paper: Haikuan Dong, Petri Hirvonen, Zheyong Fan, Ping Qian, Yanjing Su, and Tapio Ala-Nissila, Heat transport across graphene/hexagonal-BN heterostructures from phase-field crystal model and molecular dynamics simulations, submitted.
DOI: 10.7298/e0s4-0w24
title: Data from: Initial nucleation of metastable γ -Ga2O3 during sub-millisecond thermal anneals of amorphous Ga2O3
DOI: 10.5517/ccdc.csd.cc28ztkn
title: CCDC 2114992: Experimental Crystal Structure Determination

description: Related Article: Lifang Bian, Min Tang, Jiali Liu, Yimin Liang, Lin Wu, Zhichang Liu|2022|J.Mater.Chem.C|10|15394|doi:10.1039/D2TC03506E
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.cc2d9f27
title: CCDC 2213588: Experimental Crystal Structure Determination

description: Related Article: David Reber, Jonathan R. Thurston, Maximilian Becker, Michael P. Marshak|2023|Cell Reports Physical Science|4|101215|doi:10.1016/j.xcrp.2022.101215
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.cc2d9f38
title: CCDC 2213589: Experimental Crystal Structure Determination

description: Related Article: David Reber, Jonathan R. Thurston, Maximilian Becker, Michael P. Marshak|2023|Cell Reports Physical Science|4|101215|doi:10.1016/j.xcrp.2022.101215
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.cc2d9f49
title: CCDC 2213590: Experimental Crystal Structure Determination

description: Related Article: David Reber, Jonathan R. Thurston, Maximilian Becker, Michael P. Marshak|2023|Cell Reports Physical Science|4|101215|doi:10.1016/j.xcrp.2022.101215
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: 10.21942/uva.23910024
title: METARECORD: Are Older Individuals Predisposed to Habitual Control More Resilient?

description: The datasets presented in this article are not readily available because the datasets used and/or analyzed for the current study will only be made publicly available after completion of the overarching project, and will until that time only be available from the corresponding author on collaboration basis upon reasonable request. Requests to access the datasets should be directed to L.P.B., l.p.brinkhof@uva.nl
DOI: 10.21942/uva.23910024.v1
title: METARECORD: Are Older Individuals Predisposed to Habitual Control More Resilient?

description: The datasets presented in this article are not readily available because the datasets used and/or analyzed for the current study will only be made publicly available after completion of the overarching project, and will until that time only be available from the corresponding author on collaboration basis upon reasonable request. Requests to access the datasets should be directed to L.P.B., l.p.brinkhof@uva.nl
DOI: 10.6084/m9.figshare.22573033
title: Alternative_model_cml

description: This is the dataset for " An alternative approach to retrieve rainfall intensity by attenuation measurements from commercial microwave links"
DOI: 10.6084/m9.figshare.22573033.v1
title: Alternative_model_cml

description: This is the dataset for " An alternative approach to retrieve rainfall intensity by attenuation measurements from commercial microwave links"
DOI: 10.6084/m9.figshare.23910129
title: Supplementary Material for: Resolving the Smoking Paradox: No Evidence for Smoking-Induced Preconditioning in Large Vessel Occlusion Stroke

description: Introduction: Smoking is an established risk factor for stroke. However, several studies have reported a better outcome after stroke for patients who smoke. According to this “smoking paradox” hypothesis, smoking might promote less severe strokes, higher collateral scores and smaller infarct cores. Methods: In this retrospective study, we screened data of 2980 acute ischemic stroke patients with MCA-M1 occlusion treated with mechanical thrombectomy. Patients were categorized according to smoking status (current, former or never). We assessed univariate associations between clinical characteristics and smoking status. Subsequently, we used adjusted regression analysis to evaluate associations of smoking with stroke severity on admission (NIHSS, primary endpoint), infarct core volume and collateral status (secondary endpoints). Results: Out of 320 patients, 19.7% (n = 63) were current and 18.8% (n = 60) former smokers. Admission NIHSS, reperfusion success and mRS after 3-6 months were similar in all groups. Current smokers were younger, more often male and less likely to have atrial fibrillation compared to former and never smokers. In regression analyses, smoking status was neither associated with admission NIHSS (estimate 0.54, 95% CI -1.27 – 2.35, p = 0.557) nor with collateral status (estimate 0.79, 95% CI 0.44 – 1.44, p = 0.447) or infarct core volume (estimate -0.69, 95% CI -15.15 – 13.77, p = 0.925 for current vs. never smokers). Discussion/Conclusion: We could not confirm the smoking paradox. Our results support the fact that smoking causes stroke at a younger age, highlighting the role of smoking as a modifiable vascular risk factor.
DOI: 10.5258/soton/d2566
title: Summary statistics for the article "Fathers' preconception smoking and offspring DNA methylation: A two generation study"

description: Summary statistics for Fathers’ preconception smoking and offspring DNA methylation: A two generation study of Rhinessa Cohort to be published in Clinical Epigenetics
DOI: 10.6084/m9.figshare.21710252
title: Dataset to accompany paper: Depth profiles of Jerlov water types

description: Dataset to accompany paper: Depth profiles of Jerlov water types
DOI: 10.6084/m9.figshare.21710252.v2
title: Dataset to accompany paper: Depth profiles of Jerlov water types

description: Dataset to accompany paper: Depth profiles of Jerlov water types
DOI: 10.6084/m9.figshare.23866962.v24
title: Untitled Item

description: Regridding Global CMIP6 GCMs dataset(0.5 degree)Historical dataset: 7 CMIP6 GCMs (1850-2014, ACCESS-CM2 to GFDL-ESM4)Future dataset: 7 CMIP6 GCMs and 4 SSP scenarios (2015-2100)Composition of dataset: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiationIf you are using our codes and dataset, please use the following references:Song, Y.H., Chung, E.S., Shahid, S., Kim, Y.J., Kim, D.K. 2023. Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiration. Scientific Data.<br>
DOI: 10.5285/d55d7619-3e07-41b0-929e-c9da0a4b61af
title: Bathymetric and lake chemistry data for Lago Pato,Torres del Paine National Park, Chile

description: The dataset comprises of GPS site data, bathymetric data from Lago Pato, a small lake basin at 51.3003 S, 72.6786 W and approx 33 m a.s.l., water chemistry collected from lakes in the region made in 2007 and precipitation data generated from the ERA-INTERIM model for Lago Pato. The data are used to help constrain glacier dynamics and lake level change in the TdP and Ultima Esperanza region over the last approx 30,000 cal a BP (30 ka). This project was funded by the Natural Environment Research Council (NERC) through the British Antarctic Survey (BAS) and an UGent BOF bilateral collaboration project. RMcC was supported by Programa Regional R17A10002 and R20F0002 (PATSER) ANID. We gratefully acknowledge the University of Magallanes (UMAG) and the University of Santiago (Carolina Diaz) for assistance with fieldwork; the NERC/SUERC AMS Radiocarbon Facility for providing initial range-finder radiocarbon dates; the NERC Isotope Geosciences Laboratory (NIGL, now National Environmental Isotope Facility, NEIF, at the British Geological Survey) and Melanie Lang for stable carbon isotope analysis; Aberystwyth University (David Kelly), Durham University (Neil Tunstall and Christopher Longley) and Edinburgh University (Chris Hayward) for use of their core scanning and microprobe facilities and technical support.
description: GPS data were collected using Trimble differential GPS, accurate to 0.1 m with values quoted as ±2-sigma (95% error). Other elevations were determined from Google Earth, and are on average, 6.7±5.9 m (2-sigma) higher than the geoid-corrected dGPS field measurements, hence, we assigned ±10 m errors. Lake water chemistry (pH, conductivity, temperature, dissolved oxygen) were measured in and around Lago Pato and several nearby lakes with a YSI600 Sonde. Light penetration was measured with a Secchi disc and water samples were taken at one metre intervals in the water column of Lago Pato. Data from lakes in Patagonia was collected from a near shore sampling point. Modelled annual and seasonal precipitation for 1979-2016 at Lago Pato and other ERA-INTERIM data and maps were generated using a BAS internal portal to the Dee et al. (2011) dataset. The dataset is arranged as follows Lake water chemistry Patagonia 2007.csv lake water chemistry dataset LP Bathymetry data.csv Lago Pato bathymetry dataset LP GPS data Lago Pato site and lake GPS data Modelled precipitation folder containing modelled annual, summer (December, January, February; DJF) and winter (June, July, August) precipitation data for the Lago Pato latitude and longitude
description: The WSI600 Sonde was calibrated according to manufacturer's instructions prior to use
DOI: 10.18712/nsd-nsd3121-v2
title: Democratic Urban Development in the Digital Age (DEMUDIG)

description: The data was collected in connection with the DEMUDIG project which lasted from 01.07.2018-31.03.2022. The project compared citizen participation in urban development in Oslo, Madrid and Melbourne. The project was about participation and involvement, and studied how citizens and other stakeholders engaged and what the authorities did to obtain input from the population. It focused especially on participation via websites, apps and social media. The project was also concerned with what happens to the input when the participation process is completed and the policy is to be implemented.
DOI: 10.5281/zenodo.6412773
title: Data of curvature model for the study of nanoparticle size effects on amyloid fibril stability and molecular dynamics simulations data

description: The data provided refer to our published article: T. John, J. Adler, C. Elsner, J. Petzold, M. Krueger, L.L. Martin, D. Huster, H.J. Risselada, B. Abel, Mechanistic insights into the size-dependent effects of nanoparticles on inhibiting and accelerating amyloid fibril formation, J. Colloid Interface Sci. 622 (2022), 804–818. https://doi.org/10.1016/j.jcis.2022.04.134 This article is accompanied by a 'Data in Brief' article that explains in more detail the use of the curvature model and our molecular dynamics (MD) simulations: T. John, L.L. Martin, H.J. Risselada, B. Abel, Curvature model for nanoparticle size effects on peptide fibril stability and molecular dynamics simulation data, Data Brief 45 (2022), 108598. https://doi.org/10.1016/j.dib.2022.108598
DOI: 10.5281/zenodo.6412772
title: Data of curvature model for the study of nanoparticle size effects on amyloid fibril stability and molecular dynamics simulations data

description: The data provided refer to our published article: T. John, J. Adler, C. Elsner, J. Petzold, M. Krueger, L.L. Martin, D. Huster, H.J. Risselada, B. Abel, Mechanistic insights into the size-dependent effects of nanoparticles on inhibiting and accelerating amyloid fibril formation, J. Colloid Interface Sci. 622 (2022), 804–818. https://doi.org/10.1016/j.jcis.2022.04.134 This article is accompanied by a 'Data in Brief' article that explains in more detail the use of the curvature model and our molecular dynamics (MD) simulations: T. John, L.L. Martin, H.J. Risselada, B. Abel, Curvature model for nanoparticle size effects on peptide fibril stability and molecular dynamics simulation data, Data Brief 45 (2022), 108598. https://doi.org/10.1016/j.dib.2022.108598
DOI: 10.5281/zenodo.8216449
title: A comprehensive land cover sample dataset of the Tibetan Plateau

description: A comprehensive land cover sample dataset consists of 10,242 samples of the Tibetan Plateau with 12 vegetation classes and 3 non-vegetation classes created through manual interpretation.
DOI: 10.5281/zenodo.8191754
title: Data and code for: Plants sum and subtract stimuli over different timescales

description: This repository contains the experimental data presented in "Plants sum and subtract stimuli over different timescales" as well as the Python scripts to reproduce the figures, run simulations based on the discussed model and estimate the memory kernel for individual plant organs.
description: Funding: Israel Science Foundation Grant (1981/ 14); European Union's Horizon 2020 research and innovation program under Grant Agreement No. 824074 (GrowBot); Human Frontier Science Program, Reference No. RGY0078/2019
DOI: 10.5281/zenodo.8191753
title: Data and code for: Plants sum and subtract stimuli over different timescales

description: This repository contains the experimental data presented in "Plants sum and subtract stimuli over different timescales" as well as the Python scripts to reproduce the figures, run simulations based on the discussed model and estimate the memory kernel for individual plant organs.
description: Funding: Israel Science Foundation Grant (1981/ 14); European Union's Horizon 2020 research and innovation program under Grant Agreement No. 824074 (GrowBot); Human Frontier Science Program, Reference No. RGY0078/2019
DOI: 10.6084/m9.figshare.22650166.v2
title: Dataset to accompany paper: A chlorophyll-based model underpinned by measured inherent optical properties of Jerlov water types

description: Dataset to accompany paper: A chlorophyll-based model underpinned by measured inherent optical properties of Jerlov water types
DOI: 10.6084/m9.figshare.22650166.v3
title: Dataset to accompany paper: A chlorophyll-based model underpinned by measured inherent optical properties of Jerlov water types

description: Dataset to accompany paper: A chlorophyll-based model underpinned by measured inherent optical properties of Jerlov water types
DOI: 10.5258/soton/d2729
title: Dataset for An exploration of ELSAs' cultural responsiveness in meeting the social emotional needs of school-aged pupils.

description: Dataset in support of the Southampton doctoral thesis 'Exploring ELSA, teacher and pupils’ views on culturally responsive approaches: How can cultural responsiveness improve sense of belonging and social and emotional support in schools?' Anonymised interview transcripts
DOI: 10.6084/m9.figshare.23910210
title: Supplementary files: Assessment of SLEDAI score changes in systemic lupus erythematosus patients under low-dose interleukin-2 therapy: a meta-analysis

description: Supplementary files: Assessment of SLEDAI score changes in systemic lupus erythematosus patients under low-dose interleukin-2 therapy: a meta-analysis
DOI: 10.6084/m9.figshare.23910210.v1
title: Supplementary files: Assessment of SLEDAI score changes in systemic lupus erythematosus patients under low-dose interleukin-2 therapy: a meta-analysis

description: Supplementary files: Assessment of SLEDAI score changes in systemic lupus erythematosus patients under low-dose interleukin-2 therapy: a meta-analysis
DOI: 10.6084/m9.figshare.23910177
title: E-Learning Readiness and Anxiety Levels Among Preclinical Medical Students During The COVID-19 Pandemic

description: This data aims to determine the correlation between e-learning readiness and anxiety levels in Undergraduate Medical Program Students (Preclinic Medical Student) at the Faculty of Medicine Universitas Tanjungpura during the COVID-19 pandemic.
DOI: 10.6084/m9.figshare.23910177.v1
title: E-Learning Readiness and Anxiety Levels Among Preclinical Medical Students During The COVID-19 Pandemic

description: This data aims to determine the correlation between e-learning readiness and anxiety levels in Undergraduate Medical Program Students (Preclinic Medical Student) at the Faculty of Medicine Universitas Tanjungpura during the COVID-19 pandemic.
DOI: 10.5258/soton/d2737
title: Data collected for empirical paper of thesis 'Exploring the similarities between fragile masculinity and narcissism in adolescents' homophobic aggression'

description: Data collected for the empirical project ('Exploring the Similarities Between Fragile Masculinity and Narcissism in Adolescents’ Homophobic Aggression: A Proposed Model') for the thesis 'Exploring the Link Between Adolescent Masculinity and Homophobic Aggression'. This data was collected via the website Qualtrics and is an SPSS file. This dataset has been partially cleaned by deleting incomplete responses (those who opened the questionnaire but did not continue past the consent page). This dataset contains responses to a questionnaire containing six scales measuring masculinity, empathy, self-esteem, homophobic aggression, homophobic attitudes and sexism. Data was collected from one UK secondary school (age range 12-19 years).
DOI: 10.5519/qd.gpt3ba57
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (200 records)
DOI: 10.5523/bris.1c14gl3i484312c6h6lr4nttz9
title: CEI perspective for PCCP

description: underpinning data for figures presented in the Perspective article
DOI: 10.18712/nsd-nsd3122-v2
title: Democratic Urban Development in the Digital Age (DEMUDIG)

description: The data was collected in connection with the DEMUDIG project which lasted from 01.07.2018-31.03.2022. The project compared citizen participation in urban development in Oslo, Madrid and Melbourne. The project was about participation and involvement, and studied how citizens and other stakeholders engaged and what the authorities did to obtain input from the population. It focused specifically on participation via websites, apps and social media. The project was also concerned with what happens to the input when the participation process is completed, and the policy is to be implemented.
DOI: 10.5281/zenodo.8228241
title: Dataset for "Importance of Substrate Pore Size and Wetting Behavior in Gas Diffusion Electrodes for CO2 Reduction"

description: Dataset for the publication "Importance of Substrate Pore Size and Wetting Behavior in Gas Diffusion Electrodes for CO2 Reduction" containing war and processed data used to compose the various figures. DOI Publication: https://doi.org/10.1021/acsaem.2c03054
DOI: 10.5258/soton/d2670
title: Dataset supporting the paper "Towards decoupling the effects of permeability and roughness on turbulent boundary layers".

description: This archive contains the minimal dataset necessary to reproduce the plots reported in the paper "Towards decoupling the effects of permeability and roughness on turbulent boundary layers", (2023), J. Fluid Mech. 967:R2 (DOI: 10.1017/jfm.2023.497 Towards). Data for all figures, as well as scripts necessary to reproduce these, are included in the archive.
DOI: 10.25625/jio1mp/nsxa71
title: embtrefftz_python.tar

description: python files
DOI: 10.25625/jio1mp/nwfivz
title: embtrefftz_docker.tar.gz

description: docker image