cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22004129.v1
title: Supplementary Material for: Repositioning of In-the-Bag Dislocated Intraocular Lenses. A Randomized Clinical Trial Comparing Two Surgical Methods

description: Introduction: To evaluate IOL tilt, IOL-induced astigmatism (IIA), refractive change and impact of capsular fibrosis on IOL position after scleral fixation of dislocated IOL using two methods: Ab Externo Scleral Suture Loop Fixation (Group A) and a modification, Embracing the Continuous Curvilinear Capsulorhexis (Group B). Methods: In this prospective randomized clinical trial conducted at St. Erik Eye Hospital, 117 patients with dislocated IOL were randomized to Group A (n = 61) or B (n = 56). Patients with ordinary pseudophakia (n = 60) served as controls. IOL tilt was measured three-dimensionally with anterior segment optical coherence tomography (AS-OCT). Results: The median IOL tilt was similar with both methods (A: 7.8°; B: 8.3°; p=0.51), but higher than in ordinary pseudophakia (5.4°; p&lt;0.001). Both groups showed a myopic shift, p&lt;0.001. In cases without capsular fibrosis, the median IOL tilt was 15.5° in Group A (n = 7) and 7.0° in Group B (n = 5), p=0.19. For each degree of IOL tilt, IIA increased by 0.075D (p&lt;0.001). IOL position could be measured with AS-OCT in all patients given that the IOL was visible in the pupil. Discussion/Conclusion: After IOL fixation surgery, IOL tilt is higher than in normal pseudophakia. A study involving more patients without capsular fibrosis could clarify whether IOL position is better with method B in this subgroup. IOL-induced astigmatism is low, but myopic shift is common. AS-OCT is useful for IOL tilt assessment after IOL fixation surgery. Trial registration number: NCT04150263
DOI: 10.6084/m9.figshare.22004144
title: Table S1;Table S2;Table S3;FRUITS Model(2)_Glx-Phe from Stable isotope analyses of amino acids reveal the importance of aquatic resources to Mediterranean coastal hunter–gatherers

description: El Collado and Cueva de Nerja Data;Data used for comparison;Parameters used for the FRUITS model;FRUITS Model based on Model 2 (Soncin et al. 2021)
DOI: 10.5281/zenodo.4034867
title: The CONTEXT Dataset containing Contextual Faults of a Smart Factory

description: Here you download the CONTEXT Dataset containing Contextual Faults of a Smart Factory. Our work as part of the Proceedings of the International Conference on Industry 4.0 and Smart Manufacturing is now published in Procedia Computer Science (Elsevier). <strong>If you refer to or use this dataset, cite this publication:</strong> <strong>Kaupp, Lukas; Webert, Heiko; Nazemi, Kawa; Humm, Bernhard; Simons, Stephan (2021): CONTEXT: An Industry 4.0 Dataset of Contextual Faults in a Smart Factory. In: Procedia Computer Science 180, S. 492–501. DOI: 10.1016/j.procs.2021.01.265. </strong> The dataset contains contextual faults recorded in the smart factory of the Darmstadt University of Applied Sciences. Each recording (CSV format) consists of an OPC-UA log file and log files of the corresponding machinery measured by our developed sensing units. Foldernames reflect experiment structure. &lt;date&gt;-&lt;run&gt;_&lt;count of build relays&gt;_&lt;g(ood/ok)/n(ot/failure)&gt;_&lt;experiment name&gt; You can find a detailed description of the experiments in our publication. <strong>Description Update for a better data assessment.</strong> OPC-UA Hierarchy - Factory Mapping: 'Station10' - Management Station (send production instructions / receive production updates)[not physically involved in the production process] 'Station 40 - Hochregallager' - High-Bay Storage Station 'Station 50 - Roboter' - Robot Station 'Station 60 - Presse' - Press Station 'St20 SoftSPS' - Optical & Weight Inspection Station 'Station30elPruefung' - Electrical Inspection Station
DOI: 10.5281/zenodo.4034858
title: The CONTEXT Dataset containing Contextual Faults of a Smart Factory

description: Here you download the CONTEXT Dataset containing Contextual Faults of a Smart Factory. Our work as part of the Proceedings of the International Conference on Industry 4.0 and Smart Manufacturing is now published in Procedia Computer Science (Elsevier). <strong>If you refer to or use this dataset, cite this publication:</strong> <strong>Kaupp, Lukas; Webert, Heiko; Nazemi, Kawa; Humm, Bernhard; Simons, Stephan (2021): CONTEXT: An Industry 4.0 Dataset of Contextual Faults in a Smart Factory. In: Procedia Computer Science 180, S. 492–501. DOI: 10.1016/j.procs.2021.01.265. </strong> The dataset contains contextual faults recorded in the smart factory of the Darmstadt University of Applied Sciences. Each recording (CSV format) consists of an OPC-UA log file and log files of the corresponding machinery measured by our developed sensing units. Foldernames reflect experiment structure. &lt;date&gt;-&lt;run&gt;_&lt;count of build relays&gt;_&lt;g(ood/ok)/n(ot/failure)&gt;_&lt;experiment name&gt; You can find a detailed description of the experiments in our publication. <strong>Description Update for a better data assessment.</strong> OPC-UA Hierarchy - Factory Mapping: 'Station10' - Management Station (send production instructions / receive production updates)[not physically involved in the production process] 'Station 40 - Hochregallager' - High-Bay Storage Station 'Station 50 - Roboter' - Robot Station 'Station 60 - Presse' - Press Station 'St20 SoftSPS' - Optical & Weight Inspection Station 'Station30elPruefung' - Electrical Inspection Station
DOI: 10.5281/zenodo.7043422
title: Replication package of SkCoder

description: The replication package of SkCoder in ICSE2023, including the datasets and the source code.
DOI: 10.6084/m9.figshare.22004165
title: Supplementary Material for: Repositioning of In-the-Bag Dislocated Intraocular Lenses. A Randomized Clinical Trial Comparing Two Surgical Methods

description: Introduction: To evaluate IOL tilt, IOL-induced astigmatism (IIA), refractive change and impact of capsular fibrosis on IOL position after scleral fixation of dislocated IOL using two methods: Ab Externo Scleral Suture Loop Fixation (Group A) and a modification, Embracing the Continuous Curvilinear Capsulorhexis (Group B). Methods: In this prospective randomized clinical trial conducted at St. Erik Eye Hospital, 117 patients with dislocated IOL were randomized to Group A (n = 61) or B (n = 56). Patients with ordinary pseudophakia (n = 60) served as controls. IOL tilt was measured three-dimensionally with anterior segment optical coherence tomography (AS-OCT). Results: The median IOL tilt was similar with both methods (A: 7.8°; B: 8.3°; p=0.51), but higher than in ordinary pseudophakia (5.4°; p&lt;0.001). Both groups showed a myopic shift, p&lt;0.001. In cases without capsular fibrosis, the median IOL tilt was 15.5° in Group A (n = 7) and 7.0° in Group B (n = 5), p=0.19. For each degree of IOL tilt, IIA increased by 0.075D (p&lt;0.001). IOL position could be measured with AS-OCT in all patients given that the IOL was visible in the pupil. Discussion/Conclusion: After IOL fixation surgery, IOL tilt is higher than in normal pseudophakia. A study involving more patients without capsular fibrosis could clarify whether IOL position is better with method B in this subgroup. IOL-induced astigmatism is low, but myopic shift is common. AS-OCT is useful for IOL tilt assessment after IOL fixation surgery. Trial registration number: NCT04150263
DOI: 10.6084/m9.figshare.22004165.v1
title: Supplementary Material for: Repositioning of In-the-Bag Dislocated Intraocular Lenses. A Randomized Clinical Trial Comparing Two Surgical Methods

description: Introduction: To evaluate IOL tilt, IOL-induced astigmatism (IIA), refractive change and impact of capsular fibrosis on IOL position after scleral fixation of dislocated IOL using two methods: Ab Externo Scleral Suture Loop Fixation (Group A) and a modification, Embracing the Continuous Curvilinear Capsulorhexis (Group B). Methods: In this prospective randomized clinical trial conducted at St. Erik Eye Hospital, 117 patients with dislocated IOL were randomized to Group A (n = 61) or B (n = 56). Patients with ordinary pseudophakia (n = 60) served as controls. IOL tilt was measured three-dimensionally with anterior segment optical coherence tomography (AS-OCT). Results: The median IOL tilt was similar with both methods (A: 7.8°; B: 8.3°; p=0.51), but higher than in ordinary pseudophakia (5.4°; p&lt;0.001). Both groups showed a myopic shift, p&lt;0.001. In cases without capsular fibrosis, the median IOL tilt was 15.5° in Group A (n = 7) and 7.0° in Group B (n = 5), p=0.19. For each degree of IOL tilt, IIA increased by 0.075D (p&lt;0.001). IOL position could be measured with AS-OCT in all patients given that the IOL was visible in the pupil. Discussion/Conclusion: After IOL fixation surgery, IOL tilt is higher than in normal pseudophakia. A study involving more patients without capsular fibrosis could clarify whether IOL position is better with method B in this subgroup. IOL-induced astigmatism is low, but myopic shift is common. AS-OCT is useful for IOL tilt assessment after IOL fixation surgery. Trial registration number: NCT04150263
DOI: 10.6084/m9.figshare.21971303.v2
title: Breakthrough pressure model of shale gas in water-saturated nanopore-throat systems: Insights from molecular simulations

description: The datasets are for the "Breakthrough pressure model of shale gas in water-saturated nanopore-throat systems: Insights from molecular simulations''
DOI: 10.34740/kaggle/dsv/4940599
title: Elon Musk Tweets
DOI: 10.5281/zenodo.7602111
title: Exploring Korean adolescent stress on social media: A semantic network analysis

description: <strong>Korean Adolescent's Stress Semantic Network Analysis Project</strong> Semantic Network Analysis for Korean Adolescent's Stress Input data file data_news.csv : News data collected from Naver(https://www.naver.com) data_blog.csv : Blog data collected from Naver(https://www.naver.com) and Daum(https://www.daum.net) Output files Frequency Table of Each word in Documents (<em><strong>freq_news.csv</strong></em>, <em><strong>freq_blog.csv</strong></em>) TF-IDF(Term Frequency-Inverse Document Frequency) Table of Each word in Documents (<em><strong>tfidf_news.csv</strong></em>, <em><strong>tf_idf_blog.csv</strong></em>) Frequency Table of 30 keywords in Documents (<em><strong>freq_news_30.csv</strong></em>, <em><strong>freq_blog_30.csv</strong></em>) DTM(Document Term Matrix) of 30 keywords in Documents (<em><strong>DTM_news_30.csv</strong></em>, <em><strong>DTM_blog_30.csv</strong></em>) COM(Co-Occurrence Matrix) of 30 keywords in Documents (<em><strong>COM_news_30.csv</strong></em>, <em><strong>COM_blog_30.csv</strong></em>) Binary COM of 30 keywords in Documents (<em><strong>BinaryCOM_news_30.csv</strong></em>, <em><strong>BinaryCOM_blog_30.csv</strong></em>) Centrality Table of 30 keywords in Documents (<em><strong>centrality_news_30.csv</strong></em>, <em><strong>centrality_blog_30.csv</strong></em>)
DOI: 10.5281/zenodo.7602110
title: Exploring Korean adolescent stress on social media: A semantic network analysis

description: <strong>Korean Adolescent's Stress Semantic Network Analysis Project</strong> Semantic Network Analysis for Korean Adolescent's Stress Input data file data_news.csv : News data collected from Naver(https://www.naver.com) data_blog.csv : Blog data collected from Naver(https://www.naver.com) and Daum(https://www.daum.net) Output files Frequency Table of Each word in Documents (<em><strong>freq_news.csv</strong></em>, <em><strong>freq_blog.csv</strong></em>) TF-IDF(Term Frequency-Inverse Document Frequency) Table of Each word in Documents (<em><strong>tfidf_news.csv</strong></em>, <em><strong>tf_idf_blog.csv</strong></em>) Frequency Table of 30 keywords in Documents (<em><strong>freq_news_30.csv</strong></em>, <em><strong>freq_blog_30.csv</strong></em>) DTM(Document Term Matrix) of 30 keywords in Documents (<em><strong>DTM_news_30.csv</strong></em>, <em><strong>DTM_blog_30.csv</strong></em>) COM(Co-Occurrence Matrix) of 30 keywords in Documents (<em><strong>COM_news_30.csv</strong></em>, <em><strong>COM_blog_30.csv</strong></em>) Binary COM of 30 keywords in Documents (<em><strong>BinaryCOM_news_30.csv</strong></em>, <em><strong>BinaryCOM_blog_30.csv</strong></em>) Centrality Table of 30 keywords in Documents (<em><strong>centrality_news_30.csv</strong></em>, <em><strong>centrality_blog_30.csv</strong></em>)
DOI: 10.6084/m9.figshare.22004189
title: data.xlsx

description: The statistical data are all from the China Stock Market & Accounting Research Database
DOI: 10.6084/m9.figshare.22004189.v1
title: data.xlsx

description: The statistical data are all from the China Stock Market & Accounting Research Database
DOI: 10.34740/kaggle/dsv/4940643
title: AutoXGB
DOI: 10.6084/m9.figshare.22004213
title: GK17 is an antifungal peptide

description: This dataset includes quantitative data for peptide activity against <em>Candida albicans</em>.
DOI: 10.5281/zenodo.7602025
title: Wildlife MNIST

description: The Wildlife MNIST dataset contains MNIST digits with colored backgrounds and foregrounds with annotations, suitable for benchmarking disentangling or factor identification. Originally used for the project https://github.com/vitskvara/sgad. There are two versions - non-mixed and mixed. In the non-mixed version (data.npy and label.npy), the background and foreground textures are the same for all digits of a single MNIST class, therefore only a single label describes each sample. In the mixed version (data_test.npy and labels_test.npy), each sample image has a random digit, background and foreground (out of 10 classes for each factor of variation). Then, the label is a tuple of three numbers, describing the individual (digit,background,foreground) labels. Note that the data is scaled to the interval [-1,1], so rescaling them by computing "x*0.5 + 0.5" is necessary for some applications that require them to be in the interval [0,1]. Example images from both versions of the dataset are included. Note that the dataset was originally used in "Sauer, Axel, and Andreas Geiger. Counterfactual generative networks. 2021."
description: https://github.com/vitskvara/sgad
DOI: 10.5281/zenodo.7602024
title: Wildlife MNIST

description: The Wildlife MNIST dataset contains MNIST digits with colored backgrounds and foregrounds with annotations, suitable for benchmarking disentangling or factor identification. Originally used for the project https://github.com/vitskvara/sgad. There are two versions - non-mixed and mixed. In the non-mixed version (data.npy and label.npy), the background and foreground textures are the same for all digits of a single MNIST class, therefore only a single label describes each sample. In the mixed version (data_test.npy and labels_test.npy), each sample image has a random digit, background and foreground (out of 10 classes for each factor of variation). Then, the label is a tuple of three numbers, describing the individual (digit,background,foreground) labels. Note that the data is scaled to the interval [-1,1], so rescaling them by computing "x*0.5 + 0.5" is necessary for some applications that require them to be in the interval [0,1]. Example images from both versions of the dataset are included. Note that the dataset was originally used in "Sauer, Axel, and Andreas Geiger. Counterfactual generative networks. 2021."
description: https://github.com/vitskvara/sgad
DOI: 10.25403/upresearchdata.21946655
title: Fungi and Oomycetes from maize rhizosphere soils collected in Free State and North West

description: This dataset contains detailed figures and tables about the fungal and oomycetes strains that have been isolated from maize rhizosphere soils that were collected in the Free State and North West provinces of South Africa. For chapter 2 data file: this is isolations resulted in 460 strains that were classified into 28 genera and 80 species. <em>Fusarium</em>, <em>Neocosmospora</em>, <em>Penicillium </em>and <em>Trichoderma </em>were found to dominate rhizosphere communities, with <em>F. tardicrescens</em>, <em>N. solani</em>, <em>P. raperi</em>, and <em>T. afroharzianum </em>the most common and consistently isolated species across farms. Other genera identified include <em>Aspergillus</em>, <em>Chaetomium</em>, <em>Cladosporium</em>, <em>Metarhizium</em>, <em>Talaromyces</em>, and <em>Umbelopsis</em>. Notably, <em>Fusarium chlamydosporum</em>,<em> F. oxysporum</em>,<em> F. subglutinans</em>, <em>F. temperatum</em>, <em>Neocosmospora</em> <em>falciformis </em>and <em>Setophoma terrestris </em>were isolated from soils and have previously been reported to cause stalk, root, and /or crown rots of maize plants. For Chapter 3 data file: a total of 65 strains were isolated and identified as <em>Globisporangium irregulare</em>, <em>Globisporangium ultimum </em>and <em>Pythium torulosum</em>. <em>Globisporangium irregulare </em>was the most frequently isolated (n = 45; isolated from 19/19 farms), followed by<em> Gl.</em> <em>ultimum </em>(n = 15; isolated from 7/19 farms) and <em>Pythium torulosum </em>(n = 5; isolated from 4/19 farms). All three species have previously been reported to cause root rot or pre- and postemergence damping-off of maize in South Africa. The findings of the data provide the baseline knowledge needed to start understanding fungal community compositions of maize rhizosphere soils and give us an insight into what soilborne pathogens may be associated with maize.
DOI: 10.25403/upresearchdata.21946655.v1
title: Fungi and Oomycetes from maize rhizosphere soils collected in Free State and North West

description: This dataset contains detailed figures and tables about the fungal and oomycetes strains that have been isolated from maize rhizosphere soils that were collected in the Free State and North West provinces of South Africa. For chapter 2 data file: this is isolations resulted in 460 strains that were classified into 28 genera and 80 species. <em>Fusarium</em>, <em>Neocosmospora</em>, <em>Penicillium </em>and <em>Trichoderma </em>were found to dominate rhizosphere communities, with <em>F. tardicrescens</em>, <em>N. solani</em>, <em>P. raperi</em>, and <em>T. afroharzianum </em>the most common and consistently isolated species across farms. Other genera identified include <em>Aspergillus</em>, <em>Chaetomium</em>, <em>Cladosporium</em>, <em>Metarhizium</em>, <em>Talaromyces</em>, and <em>Umbelopsis</em>. Notably, <em>Fusarium chlamydosporum</em>,<em> F. oxysporum</em>,<em> F. subglutinans</em>, <em>F. temperatum</em>, <em>Neocosmospora</em> <em>falciformis </em>and <em>Setophoma terrestris </em>were isolated from soils and have previously been reported to cause stalk, root, and /or crown rots of maize plants. For Chapter 3 data file: a total of 65 strains were isolated and identified as <em>Globisporangium irregulare</em>, <em>Globisporangium ultimum </em>and <em>Pythium torulosum</em>. <em>Globisporangium irregulare </em>was the most frequently isolated (n = 45; isolated from 19/19 farms), followed by<em> Gl.</em> <em>ultimum </em>(n = 15; isolated from 7/19 farms) and <em>Pythium torulosum </em>(n = 5; isolated from 4/19 farms). All three species have previously been reported to cause root rot or pre- and postemergence damping-off of maize in South Africa. The findings of the data provide the baseline knowledge needed to start understanding fungal community compositions of maize rhizosphere soils and give us an insight into what soilborne pathogens may be associated with maize.
DOI: 10.6084/m9.figshare.22004245
title: Code in R from The emergence and shift in seasonality of Lyme borreliosis in Northern Europe

description: R code for reproducing all figures, tables and results.
DOI: 10.6084/m9.figshare.22004248
title: Bookdown style file from The emergence and shift in seasonality of Lyme borreliosis in Northern Europe

description: Style file for creating the Supplementary Materials html representation using the R package bookdown.
DOI: 10.6084/m9.figshare.22004248.v1
title: Bookdown style file from The emergence and shift in seasonality of Lyme borreliosis in Northern Europe

description: Style file for creating the Supplementary Materials html representation using the R package bookdown.
DOI: 10.6084/m9.figshare.22004251
title: NDVI data file from The emergence and shift in seasonality of Lyme borreliosis in Northern Europe

description: Timing of peak spring greening in Norway from 1995-2019 based on NDVI.
DOI: 10.6084/m9.figshare.22004251.v1
title: NDVI data file from The emergence and shift in seasonality of Lyme borreliosis in Northern Europe

description: Timing of peak spring greening in Norway from 1995-2019 based on NDVI.
DOI: 10.6084/m9.figshare.22004254
title: Lyme borreliosis surveillance data file from The emergence and shift in seasonality of Lyme borreliosis in Northern Europe

description: Surveillance data derived from the Norwegian Surveillance System for Communicable Diseases database that summarises the weekly number of Lyme borreliosis cases on a regional and national scale from 1995-2019. Census population data is also included in the file.
DOI: 10.6084/m9.figshare.22004254.v1
title: Lyme borreliosis surveillance data file from The emergence and shift in seasonality of Lyme borreliosis in Northern Europe

description: Surveillance data derived from the Norwegian Surveillance System for Communicable Diseases database that summarises the weekly number of Lyme borreliosis cases on a regional and national scale from 1995-2019. Census population data is also included in the file.
DOI: 10.6084/m9.figshare.22004257
title: Norway map data file from The emergence and shift in seasonality of Lyme borreliosis in Northern Europe

description: Map data for creating Figure 1a.
DOI: 10.6084/m9.figshare.22004257.v1
title: Norway map data file from The emergence and shift in seasonality of Lyme borreliosis in Northern Europe

description: Map data for creating Figure 1a.
DOI: 10.6084/m9.figshare.22004260.v1
title: Supplementary Materials from The emergence and shift in seasonality of Lyme borreliosis in Northern Europe

description: Supplementary figures, tables, and methods description created in R markdown for viewing in a web browser.
DOI: 10.6084/m9.figshare.22004260
title: Supplementary Materials from The emergence and shift in seasonality of Lyme borreliosis in Northern Europe

description: Supplementary figures, tables, and methods description created in R markdown for viewing in a web browser.
DOI: 10.5281/zenodo.7602144
title: Data for "The Molecular Mechanism of Light-induced Bond Formation and Breakage in the Cyanobacteriochrome TePixJ"

description: Data used to generate the figures in the publication "The Molecular Mechanism of Light-induced Bond Formation and Breakage in the Cyanobacteriochrome TePixJ".
DOI: 10.5281/zenodo.7602143
title: Data for "The Molecular Mechanism of Light-induced Bond Formation and Breakage in the Cyanobacteriochrome TePixJ"

description: Data used to generate the figures in the publication "The Molecular Mechanism of Light-induced Bond Formation and Breakage in the Cyanobacteriochrome TePixJ".
DOI: 10.6084/m9.figshare.22004374.v1
title: Table S1 from Analysis of the phosphoproteome of CK2<i>α</i><sup>(–/–)</sup>/Δ<i>α′</i> C2C12 myoblasts compared to the wild-type cells

description: List of phosphosites quantified in CK2α(-/-)/Δα’cells
DOI: 10.6084/m9.figshare.22004374
title: Table S1 from Analysis of the phosphoproteome of CK2<i>α</i><sup>(–/–)</sup>/Δ<i>α′</i> C2C12 myoblasts compared to the wild-type cells

description: List of phosphosites quantified in CK2α(-/-)/Δα’cells
DOI: 10.5281/zenodo.7602164
title: TBD

description: This folder /DFT_structures/ contains the DFT-optimized geometries (in .xyz format together with the gas-phase energy, E) accompanying the paper "title" Where conformers occur, they are always named from the lowest Gibbs energy to the highest in ascending order from c1 (sometimes omitted), c2, c3, ... This folder contains the following sub-folders: - /irc_movies/ contains movies of the IRC analyses for the rotational barrier TSs; - /structures/ contains the DFT-optimized structures