cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/6a696ee6-bed5-48b6-84cd-11385da2ee56.v1
title: Data for the publication: Scaling of ice-induced vibrations

description: These data refer to the second test campaign of the SHIVER project, conducted in the Ice and Wave tank of Aalto University in spring 2023.Basin tests were performed to gather data on ice action, ice-structure interaction and ice scaling to predict ice-induced vibration of offshore structures (e.g., offshore wind turbines, lighthouses, channel markers).Tests were conducted with a real-time hybrid test setup, which had been used during the first test campaign of the SHIVER project (go to publication, go to data). Small modification of the setup allowed to test substructures with different diameters and shape at the water line and improved data reliability.Detailed explanations of the test setup, test matrix, and test results are provided in a manuscript submitted to the journal Cold Regions Science and Technology. All Metadata will be included upon acceptance of the manuscript. Refer to the README.pdf file for more information about the data uploaded. Contact Tim C. Hammer (t.c.hammer@tudelft.nl) for additional information.
DOI: 10.6084/m9.figshare.19773159
title: Across the islands: A multimodal discourse analysis of government homepages

description: <i>This article examines the homepages of two island governments: American Hawaii and Chinese Hainan. Under Pauwels' (2012) multimodal framework for analysing websites as cultural expressions, we investigate how the homepages construct identities and multimodally portray the islands as tourist destinations. Through attractive imagery, interpersonal linguistic choices, and interactive links to social media, Hawaii’s homepage depicts the state’s identity as a modern, welcoming indigenous community. Hainan’s website has a Chinese version and an English version. With a newspaper type of official and formal presentation, the Chinese homepage promotes the provincial government’s identity as a traditional administration and information hub by extensively using impersonal semiotic resources with limited interactivity. In contrast, the English homepage creates an identity as a thoughtful caretaker and attentive administrator who provides practical resources to meet the needs of foreign guests. In terms of semiotic use and visual design, Hainan’s English homepage seems to position itself between two extremes: Hainan’s Chinese homepage and the Hawaii homepage. The homepage differences can be explained from the standpoint of communication purposes and cultural values. Although all three belong to a pragmatic discourse type, these homepages situate themselves at different points on a continuum. This paper highlights the importance of researching the relationship between cultural specificity and webpage design.</i>
DOI: 10.6084/m9.figshare.19773159.v1
title: Across the islands: A multimodal discourse analysis of government homepages

description: <i>This article examines the homepages of two island governments: American Hawaii and Chinese Hainan. Under Pauwels' (2012) multimodal framework for analysing websites as cultural expressions, we investigate how the homepages construct identities and multimodally portray the islands as tourist destinations. Through attractive imagery, interpersonal linguistic choices, and interactive links to social media, Hawaii’s homepage depicts the state’s identity as a modern, welcoming indigenous community. Hainan’s website has a Chinese version and an English version. With a newspaper type of official and formal presentation, the Chinese homepage promotes the provincial government’s identity as a traditional administration and information hub by extensively using impersonal semiotic resources with limited interactivity. In contrast, the English homepage creates an identity as a thoughtful caretaker and attentive administrator who provides practical resources to meet the needs of foreign guests. In terms of semiotic use and visual design, Hainan’s English homepage seems to position itself between two extremes: Hainan’s Chinese homepage and the Hawaii homepage. The homepage differences can be explained from the standpoint of communication purposes and cultural values. Although all three belong to a pragmatic discourse type, these homepages situate themselves at different points on a continuum. This paper highlights the importance of researching the relationship between cultural specificity and webpage design.</i>
DOI: 10.5517/ccdc.csd.cc2bh7y1
title: CCDC 2159613: Experimental Crystal Structure Determination

description: Related Article: Shanshan Mao, Yuhan Lin, Xingyu Li, Hao Wang|2022|Cryst.Growth Des.|22|5791|doi:10.1021/acs.cgd.2c00441
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.23507517.v1
title: ContScout supporting data

description: Supporting data for Balint et al "Sensitive detection and removal of contamination from annotated genomes by ContScout"
DOI: 10.5281/zenodo.8207821
title: Whole-genome sequences of Cercospora beticola isolates from Germany and Italy.

description: Sequences used in the manuscript <strong>"Large-scale analyses reveal the contribution of adaptive evolution in pathogenic and non-pathogenic fungal species"</strong>
DOI: 10.5281/zenodo.8207820
title: Whole-genome sequences of Cercospora beticola isolates from Germany and Italy.

description: Sequences used in the manuscript <strong>"Large-scale analyses reveal the contribution of adaptive evolution in pathogenic and non-pathogenic fungal species"</strong>
DOI: 10.6084/m9.figshare.24125655
title: Plectosphaerella vigrensis_alignment

description: Alignment related to new species Plectosphaerella vigrensis.
DOI: 10.5281/zenodo.6027335
title: Dataset In-vivo estimation of axonal morphology from MRI and EEG data

description: This dataset includes the data underlying the conclusions made in the scientific article:<br> "In-vivo estimation of axonal morphology from MRI and EEG data"<br> Rita Oliveira, Andria Pelentritou, Giulia Di Domenicantonio, Marzia De Lucia, Antoine Lutti https://www.frontiersin.org/articles/10.3389/fnins.2022.874023 The main objective is to use data collected in-vivo in humans to estimate microscopic morphologic features of the white matter tracts. The in-vivo data estimated along a white matter tract of interest includes:<br> • the MRI g-ratio sampled along the visual transcallosal white matter tract<br> • a measure of conduction velocity estimated from an EEG measure of interhemispheric transfer time (IHTT) The microscopic morphologic features of white matter we estimate are:<br> • the axonal radius distribution, P(r)<br> • the g-ratio dependence on the radius, g(r) -------------------------------------------------------------------------<br> CONTENT: This package includes data for all the 14 subjects used in the corresponding scientific article:<br> • G-ratio values sampled along the transcallosal visual tract <br> double vector (# MRI_gratio samples x 1): G_ratio_samples.mat<br> • Length of the transcallosal visual tract <br> double: Tract_length.mat<br> • Current source densities (pA.m) of each trial, brain vertice and time <br> point for the left brain visual cortex <br> double 3 matrix (#trials x #vertices x #timepoints): Source_reconstruction_left_brain_V1V2.mat <br> • Current source densities (pA.m) of each trial, brain vertice and time <br> point for the right brain visual cortex <br> double 3 matrix (#trials x #vertices x #timepoints): Source_reconstruction_right_brain_V1V2.mat <br> • Vector of the time sample of the EEG epochs<br> double vector (1 x #time points): time_vec.mat The codes used in the analysis of this data are available on our online repository: https://github.com/LREN-physics/AxonalMorphology. -------------------------------------------------------------------------<br> AUTHORS: Author: Rita Oliveira<br> PIs: Marzia De Lucia, Antoine Lutti Laboratory for Neuroimaging Research Lausanne University Hospital & University of Lausanne, Lausanne, Switzerland Copyright (C) 2022 Laboratory for Neuroimaging Research
DOI: 10.5281/zenodo.6027334
title: Dataset In-vivo estimation of axonal morphology from MRI and EEG data

description: This dataset includes the data underlying the conclusions made in the scientific article:<br> "In-vivo estimation of axonal morphology from MRI and EEG data"<br> Rita Oliveira, Andria Pelentritou, Giulia Di Domenicantonio, Marzia De Lucia, Antoine Lutti https://www.frontiersin.org/articles/10.3389/fnins.2022.874023 The main objective is to use data collected in-vivo in humans to estimate microscopic morphologic features of the white matter tracts. The in-vivo data estimated along a white matter tract of interest includes:<br> • the MRI g-ratio sampled along the visual transcallosal white matter tract<br> • a measure of conduction velocity estimated from an EEG measure of interhemispheric transfer time (IHTT) The microscopic morphologic features of white matter we estimate are:<br> • the axonal radius distribution, P(r)<br> • the g-ratio dependence on the radius, g(r) -------------------------------------------------------------------------<br> CONTENT: This package includes data for all the 14 subjects used in the corresponding scientific article:<br> • G-ratio values sampled along the transcallosal visual tract <br> double vector (# MRI_gratio samples x 1): G_ratio_samples.mat<br> • Length of the transcallosal visual tract <br> double: Tract_length.mat<br> • Current source densities (pA.m) of each trial, brain vertice and time <br> point for the left brain visual cortex <br> double 3 matrix (#trials x #vertices x #timepoints): Source_reconstruction_left_brain_V1V2.mat <br> • Current source densities (pA.m) of each trial, brain vertice and time <br> point for the right brain visual cortex <br> double 3 matrix (#trials x #vertices x #timepoints): Source_reconstruction_right_brain_V1V2.mat <br> • Vector of the time sample of the EEG epochs<br> double vector (1 x #time points): time_vec.mat The codes used in the analysis of this data are available on our online repository: https://github.com/LREN-physics/AxonalMorphology. -------------------------------------------------------------------------<br> AUTHORS: Author: Rita Oliveira<br> PIs: Marzia De Lucia, Antoine Lutti Laboratory for Neuroimaging Research Lausanne University Hospital & University of Lausanne, Lausanne, Switzerland Copyright (C) 2022 Laboratory for Neuroimaging Research
DOI: 10.5281/zenodo.7446009
title: Dataset Single-subject EEG measurement of interhemispheric transfer-time for the in-vivo estimation of axonal morphology

description: This dataset is a subset of the data presented in the article Single‐subject electroencephalography measurement of interhemispheric transfer time for the in‐vivo estimation of axonal morphology Rita Oliveira, Marzia De Lucia, Antoine Lutti https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.26420 <br> For a complete description of our approach for axonal morphology estimation in-vivo, see: <em>Oliveira, R., Pelentritou, A., Di Domenicantonio, G., De Lucia, M., and Lutti, A. (2022). In vivo Estimation of Axonal Morphology From Magnetic Resonance Imaging and Electroencephalography Data. Front. Neurosci. 16, 1–18. doi: 10.3389/fnins.2022.874023.</em> This dataset contains the following Matlab files: CD_CondNameVisualField_LeftBrainOccipital.mat - Current source densities (pA.m) of each brain vertice, EEG trial, and time point for the left brain occipital cortex [#trials x #vertices x #timepoints] CD_CondNameVisualField_RightBrainOccipital.mat - Current source densities (pA.m) of each brain vertice, EEG trial, and time point for the right brain occipital cortex [#trials x #vertices x #timepoints] Stats_Source_CondNameVF_Occipital_LeftBrainOccipital.mat - Result of the cluster permutation for the left brain cortex for the CondNameVF, CondName being Left or Right visual stimulation (Fieldtrip stat structure) Stats_Source_CondNameVF_Occipital_RightBrainOccipital.mat - Result of the cluster permutation for the right brain cortex for the CondNameVF, CondName being Left or - Right visual stimulation (Fieldtrip stat structure) time_vec.mat - Time vector associated with the timecourses [1 x #timepoints] Occipital_vertices.mat - Structure containing the vertices of the brain mesh of the region of interest. Occipital_vertices.Vertices [1 x #vertices] G_ratio_samples.mat - MRI g-ratio sampled along the occipital transcallosal tract [#samples x 1] Tract_length.mat - Length of the occipital transcallosal tract (double) The analysis scripts that allow the users to replicate the results of the original publication can be found here: https://github.com/DNC-EEG-platform/SingleSubjectIHTTEstimation<br> <br> Funding: Swiss National Science Foundation (grant no 320030 184784 and 32003B 212981), ROGER DE SPOELBERCH Foundation and Bertarelli Catalyst Foundation. Author: Rita Oliveira<br> PIs: Marzia De Lucia, Antoine Lutti Laboratory for Neuroimaging Research Lausanne University Hospital & University of Lausanne, Lausanne, Switzerland Copyright (C) 2022 Laboratory for Neuroimaging Research
DOI: 10.5281/zenodo.7446008
title: Dataset Single-subject EEG measurement of interhemispheric transfer-time for the in-vivo estimation of axonal morphology

description: This dataset is a subset of the data presented in the article Single‐subject electroencephalography measurement of interhemispheric transfer time for the in‐vivo estimation of axonal morphology Rita Oliveira, Marzia De Lucia, Antoine Lutti https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.26420 <br> For a complete description of our approach for axonal morphology estimation in-vivo, see: <em>Oliveira, R., Pelentritou, A., Di Domenicantonio, G., De Lucia, M., and Lutti, A. (2022). In vivo Estimation of Axonal Morphology From Magnetic Resonance Imaging and Electroencephalography Data. Front. Neurosci. 16, 1–18. doi: 10.3389/fnins.2022.874023.</em> This dataset contains the following Matlab files: CD_CondNameVisualField_LeftBrainOccipital.mat - Current source densities (pA.m) of each brain vertice, EEG trial, and time point for the left brain occipital cortex [#trials x #vertices x #timepoints] CD_CondNameVisualField_RightBrainOccipital.mat - Current source densities (pA.m) of each brain vertice, EEG trial, and time point for the right brain occipital cortex [#trials x #vertices x #timepoints] Stats_Source_CondNameVF_Occipital_LeftBrainOccipital.mat - Result of the cluster permutation for the left brain cortex for the CondNameVF, CondName being Left or Right visual stimulation (Fieldtrip stat structure) Stats_Source_CondNameVF_Occipital_RightBrainOccipital.mat - Result of the cluster permutation for the right brain cortex for the CondNameVF, CondName being Left or - Right visual stimulation (Fieldtrip stat structure) time_vec.mat - Time vector associated with the timecourses [1 x #timepoints] Occipital_vertices.mat - Structure containing the vertices of the brain mesh of the region of interest. Occipital_vertices.Vertices [1 x #vertices] G_ratio_samples.mat - MRI g-ratio sampled along the occipital transcallosal tract [#samples x 1] Tract_length.mat - Length of the occipital transcallosal tract (double) The analysis scripts that allow the users to replicate the results of the original publication can be found here: https://github.com/DNC-EEG-platform/SingleSubjectIHTTEstimation<br> <br> Funding: Swiss National Science Foundation (grant no 320030 184784 and 32003B 212981), ROGER DE SPOELBERCH Foundation and Bertarelli Catalyst Foundation. Author: Rita Oliveira<br> PIs: Marzia De Lucia, Antoine Lutti Laboratory for Neuroimaging Research Lausanne University Hospital & University of Lausanne, Lausanne, Switzerland Copyright (C) 2022 Laboratory for Neuroimaging Research
DOI: 10.5281/zenodo.8142803
title: Cipher Machine NEMA TD 615 (Inv. 2017-405)

description: This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine. object details:<br> name: NEMA TD 615<br> Inv.-No. of the Deutsches Museum: 2017-405 file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.181<br> Y pixel spacing: 0.181<br> Z pixel spacing: 0.181<br> grid size x: 2049<br> grid size y: 2194<br> grid size z: 873<br> color depth: 16Bit ownership & image acquisition:<br> project: 3D-Cipher<br> collection: Deutsches Museum<br> IP holder: Deutsches Museum<br> license: Creative Commons BY-SA 4.0<br> scanning facility: Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS<br> scanning device: High Energy CT XXL-CT<br> Funding attribution: German Federal Ministry of Education and Research<br> acknowledgement: CryptoMuseum (as main source for informations about the cipher machines)
description: Funding: German Federal Ministry of Education and Research (BMBF), grant programme: eHeritage.
DOI: 10.5281/zenodo.8142804
title: Cipher Machine NEMA TD 615 (Inv. 2017-405)

description: This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine. object details:<br> name: NEMA TD 615<br> Inv.-No. of the Deutsches Museum: 2017-405 file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.181<br> Y pixel spacing: 0.181<br> Z pixel spacing: 0.181<br> grid size x: 2049<br> grid size y: 2194<br> grid size z: 873<br> color depth: 16Bit ownership & image acquisition:<br> project: 3D-Cipher<br> collection: Deutsches Museum<br> IP holder: Deutsches Museum<br> license: Creative Commons BY-SA 4.0<br> scanning facility: Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS<br> scanning device: High Energy CT XXL-CT<br> Funding attribution: German Federal Ministry of Education and Research<br> acknowledgement: CryptoMuseum (as main source for informations about the cipher machines)
description: Funding: German Federal Ministry of Education and Research (BMBF), grant programme: eHeritage.
DOI: 10.6084/m9.figshare.24125829
title: Differences in surface and upper-ocean (averaged in the first 100m) EKEcomposite (i.e., ensemble average) during upwelling IEKWs events between the CR and LIN.

description: Events composites are averaged during the first 20 days after the model is initialized. The white dots denote areas with a confidence level not exceeding 95 % based on a Student’s t-Test, for differences between the mean values of the CR and LIN run.
DOI: 10.6084/m9.figshare.24125829.v1
title: Differences in surface and upper-ocean (averaged in the first 100m) EKEcomposite (i.e., ensemble average) during upwelling IEKWs events between the CR and LIN.

description: Events composites are averaged during the first 20 days after the model is initialized. The white dots denote areas with a confidence level not exceeding 95 % based on a Student’s t-Test, for differences between the mean values of the CR and LIN run.
DOI: 10.5281/zenodo.8337804
title: TGF-β3 increases the severity of radiation-induced oral mucositis and salivary gland fibrosis in a mouse model

description: This is a collection of results from a preclinical trial investigating the effects of TGF-B3 treatment on healthy tissue radiotoxicity in C57BL/6 mice after fractionated head and neck radiotherapy. Survival, body weight, oral mucositis, lip dermatitis, saliva volume, and salivary gland collagen deposition were monitored. This data set is used in the manuscript "TGF-β3 increases the severity of radiation-induced oral mucositis and salivary gland fibrosis in a mouse model".
DOI: 10.5281/zenodo.8337803
title: TGF-β3 increases the severity of radiation-induced oral mucositis and salivary gland fibrosis in a mouse model

description: This is a collection of results from a preclinical trial investigating the effects of TGF-B3 treatment on healthy tissue radiotoxicity in C57BL/6 mice after fractionated head and neck radiotherapy. Survival, body weight, oral mucositis, lip dermatitis, saliva volume, and salivary gland collagen deposition were monitored. This data set is used in the manuscript "TGF-β3 increases the severity of radiation-induced oral mucositis and salivary gland fibrosis in a mouse model".
DOI: 10.5281/zenodo.8292632
title: Dataset for Karan et al 2020 (DOI: 10.1039/D0SM00333F)

description: This is the experiment and simulation data set for the research article "Flow and deformation characteristics of a flexible microfluidic channel with axial gradients in wall elasticity P Karan, SS Das, R Mukherjee, J Chakraborty, S Chakraborty - Soft Matter, 2020".
DOI: 10.5281/zenodo.8292631
title: Dataset for Karan et al 2020 (DOI: 10.1039/D0SM00333F)

description: This is the experiment and simulation data set for the research article "Flow and deformation characteristics of a flexible microfluidic channel with axial gradients in wall elasticity P Karan, SS Das, R Mukherjee, J Chakraborty, S Chakraborty - Soft Matter, 2020".
DOI: 10.5281/zenodo.8292416
title: Dataset for Karan et al 2020 (DOI: 10.1063/1.5134149)

description: This is the raw simulation dataset corresponding to the research article "Influence of non-hydrodynamic forces on the elastic response of an ultra-thin soft coating under fluid-mediated dynamic loading P Karan, J Chakraborty, S Chakraborty - Physics of Fluids, 2020".
DOI: 10.5281/zenodo.8292415
title: Dataset for Karan et al 2020 (DOI: 10.1063/1.5134149)

description: This is the raw simulation dataset corresponding to the research article "Influence of non-hydrodynamic forces on the elastic response of an ultra-thin soft coating under fluid-mediated dynamic loading P Karan, J Chakraborty, S Chakraborty - Physics of Fluids, 2020".
DOI: 10.5281/zenodo.7996702
title: Pacific TIW intensity from observations and model simulation

description: The repository includes three files. One is the Matlab code (.m) for the shallow water diagnostic model for the TIW (tropical instability waves) surface velocity from altimeter SSH (sea surface heigh). One is the input data (.mat) for the diagnostic model. Last is the estimated TIW intensity from four datasets (.mat), including altimeter-derived EKE (eddy kinetic energy) (1993-2021), in situ mooring-observed EKE (1980s-2020), high-resolution ocean model simulated EKE (1958-2021), and satellite-observed variance of SST (sea surface temperature) meridional gradient (1982-2021). The TIW-associated variability is defined as 60-day and 3000-km high-pass filterred with only westward wavenumbers retained. The EKE and variance of SST meridional gradient are averaged annually from June to February.