cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8344207
title: Supplementary material for 'Reorganisation of subglacial drainage processes during rapid melting of the Fennoscandian Ice Sheet'

description: Supplementary material for 'Reorganisation of subglacial drainage processes during rapid melting of the Fennoscandian Ice Sheet' This repository two zipped directories: Default_results_repository includes ISSM md (model) files, saved in the .mat MATLAB format for every model submission reported on in the corresponding manuscript. For the default model runs, the result .outbin files are also include for the ISSM ice sheet spinup, the GlaDS steady state run, and the GlaDS transient forcing run. For all other models runs, the included .mat files are executable such that running the included models will reproduce the rest of the results discussed in the paper. Manu_scripts includes the input geophysical data, shapefiles on Murtoo field locations from Ahokangas et al. (2021), glacial landforms shapefile data from Palmu et al. (2021), example input scripts used to produce the results discussed in the manuscript, and functions to plot those results are included. Note, the example scripts (A_ISSM_ice_spinup, B_GlaDS_seady_state, C_GlaDS_transient) will not run without modification to the specific users cluster and storage setup and are instead intended as guides to use for one's own model setup. For our modelling we used the Ice-sheet and Sea-level System Model (Larour et al., 2012) revision 27448 available from: https://issm.jpl.nasa.gov/ (last accessed on 06-09-2023). .
description: This work forms part of the RewarD project (MUST consortium, University of Turku), funded by the Academy of Finland (grant numbers 322243/J.M and 322252/A.O). A.J.H is funded by the European Space Agency Internal Fellowship program, C.F.D is funded by the Canada Research Chair program (950-231237). All simulations were run on the Digital Research Alliance of Canada compute cluster, and we thank the European Union and the Finnish Geological Survey for enabling access to the data used to parameterise our model
DOI: 10.6084/m9.figshare.24155520
title: Quantitative data set.xlsx

description: The quantitative data set was obtained by reviwing patient files at the study site -Yumbe regional referrral hospital. The qualitative data was obtained from FGD participants and Key Informants. Verbal informed consent was obtained from them before participation.
DOI: 10.6084/m9.figshare.24155520.v1
title: Quantitative data set.xlsx

description: The quantitative data set was obtained by reviwing patient files at the study site -Yumbe regional referrral hospital. The qualitative data was obtained from FGD participants and Key Informants. Verbal informed consent was obtained from them before participation.
DOI: 10.57841/casdc.0002379
title: 多能源系统的综合设计与集成管控系统离网运行24小时数据集
DOI: 10.5281/zenodo.8354990
title: Data and R scripts associated with Clark, Moles, Fazlioglu, Brandenburger & Hartley, "Rapid loss of phenotypic plasticity in the introduced range of the beach daisy, Arctotheca populifolia."

description: Data to accompany article accepted for publication in Journal of Ecology. <strong>"Rapid loss of phenotypic plasticity in the introduced range of the beach daisy, <em>Arctotheca populifolia"</em></strong> By Charlie D. Clark, Angela T. Moles, Fatih Fazlioglu, Claire R. Brandenburger, & Stephen Hartley 1 zip file that contains the following: 2 datasets (xlsx format) 9 R scripts to run the analyses and produce figures
DOI: 10.5281/zenodo.8354989
title: Data and R scripts associated with Clark, Moles, Fazlioglu, Brandenburger & Hartley, "Rapid loss of phenotypic plasticity in the introduced range of the beach daisy, Arctotheca populifolia."

description: Data to accompany article accepted for publication in Journal of Ecology. <strong>"Rapid loss of phenotypic plasticity in the introduced range of the beach daisy, <em>Arctotheca populifolia"</em></strong> By Charlie D. Clark, Angela T. Moles, Fatih Fazlioglu, Claire R. Brandenburger, & Stephen Hartley 1 zip file that contains the following: 2 datasets (xlsx format) 9 R scripts to run the analyses and produce figures
DOI: 10.5281/zenodo.8354815
title: PolyMeme

description: Internet Memes have emerged as a dominant new form of mass media and communication and they often consist of images that combine text with image and aim to express humor, irony, sarcasm, or sometimes convey hatred and misinformation. By recognizing them, we can characterize the trend of today's culture and avoid issues related to the spread of hateful and harmful content. Memes can take various forms which can be split into several categories. Existing datasets typically do not recognize these categories and do not provide a set of images with significant size and diversity, so we created one that sufficiently satisfies those requirements. The collection is gathered from Reddit and is semi-automatically labelled. More precisely the dataset contains ~27k Internet image memes categorized as "Image Macro", "Object Labeling", "Screenshots" and "Text out of Image".
DOI: 10.5281/zenodo.8354816
title: PolyMeme

description: Internet Memes have emerged as a dominant new form of mass media and communication and they often consist of images that combine text with image and aim to express humor, irony, sarcasm, or sometimes convey hatred and misinformation. By recognizing them, we can characterize the trend of today's culture and avoid issues related to the spread of hateful and harmful content. Memes can take various forms which can be split into several categories. Existing datasets typically do not recognize these categories and do not provide a set of images with significant size and diversity, so we created one that sufficiently satisfies those requirements. The collection is gathered from Reddit and is semi-automatically labelled. More precisely the dataset contains ~27k Internet image memes categorized as "Image Macro", "Object Labeling", "Screenshots" and "Text out of Image".
DOI: 10.57841/casdc.0002380
title: 轴承内部润滑油分布及回流的试验观察与研究
DOI: 10.57841/casdc.0002381
title: 气化粗渣化学活化铝硅分质利用技术中试数据集
DOI: 10.57841/casdc.0002382
title: 气化粗渣化学活化铝硅分质利用技术小试数据集
DOI: 10.5281/zenodo.5209553
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
DOI: 10.5281/zenodo.5519231
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
DOI: 10.5281/zenodo.5519619
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
DOI: 10.5281/zenodo.5521633
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
DOI: 10.5281/zenodo.5526833
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
DOI: 10.5281/zenodo.5532518
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
DOI: 10.5281/zenodo.5534576
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
DOI: 10.5281/zenodo.5537226
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
DOI: 10.5281/zenodo.5544144
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
DOI: 10.5281/zenodo.5547918
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
DOI: 10.5281/zenodo.5550329
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
DOI: 10.5281/zenodo.5552799
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
DOI: 10.5281/zenodo.5554838
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
DOI: 10.5281/zenodo.5557141
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
DOI: 10.5281/zenodo.5562387
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
DOI: 10.5281/zenodo.5564978
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
DOI: 10.5281/zenodo.5566887
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
DOI: 10.5281/zenodo.5569577
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
DOI: 10.5281/zenodo.5572594
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
DOI: 10.5281/zenodo.5575977
title: Proteins and chemicals mentioned in COVID-19 clinical trials

description: A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
description: Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/