cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3870656
title: Data accompanying: Impacts into a porous graphite: an investigation on crater formation and ejecta distribution

description: Reconstructed X-ray tomographies and python analysis scripts for the publication "Impacts into a porous graphite: an investigation on crater formation and ejecta distribution" Uses the spam python toolkit, which can probably be replaced by scipy.ndimage.center_of_mass if needed.
DOI: 10.21227/6hdj-jg09
title: Data of "Phononic crystals for suppressing crosstalk in ultrasonic flowmeters" article

description: Ultrasonic flowmeters that use transit-time ultrasonic transducers face measurement errors due to ``crosstalk,'' whereby the working signal travels through the pipe wall and couplings, interfering with the signal from the fluid.  Although various procedures have been proposed to solve the issue of crosstalk, they're limited to low-frequency ranges, or they are not effective in high-pressure environments. We propose a mounting mechanism based on a single-phase 3D phononic crystal (PnC) waveguide that can mitigate crosstalk at high frequencies (MHz range) and thus improve the flowmeters' measurement accuracy. PnCs are artificial materials consisting of periodically arranged scatterers, thereby showing bandgaps (BGs)---ranges of frequencies where elastic/acoustic waves are attenuated--- due to Bragg scattering. We design PnC wave filters by engineering the BG frequency range to the working signal of the ultrasonic flowmeter. We then fabricate the waveguide using additive manufacturing and connect it between the transducer and the pipe wall. Transient ultrasonic experiments show that transducers with PnC mountings attain a 40 dB crosstalk reduction in comparison with a standard transducer mounting configuration.
DOI: 10.5519/qd.b50ua3xv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5299020 records)
DOI: 10.5281/zenodo.7128646
title: HPC-JEEP: Energy Usage on ARCHER2 and the DiRAC COSMA HPC services dataset

description: This package contains the data and tools used to analyse the energy use on the ARCHER2 and DiRAC COSMA UK HPC facilities. This analysis was performed as part of the HPC-JEEP project. HPC-JEEP is funded by the UKRI DRI Net Zero Scoping project.
DOI: 10.6084/m9.figshare.21261348
title: Clinical stakes of sexual abuse in adolescent psychiatry

description: Dataset of the article "Clinical stakes of sexual abuse in adolescent psychiatry" <br> <br> <br>
DOI: 10.6084/m9.figshare.21261348.v1
title: Clinical stakes of sexual abuse in adolescent psychiatry

description: Dataset of the article "Clinical stakes of sexual abuse in adolescent psychiatry" <br> <br> <br>
DOI: 10.6084/m9.figshare.21261324
title: Fileset for "Regionality of short and long period oscillators in the suprachiasmatic nucleus and their manner of synchronization"

description: Raw data used to create the figures in the paper and a file summarizing the results of these analyses
DOI: 10.6084/m9.figshare.21261324.v1
title: Fileset for "Regionality of short and long period oscillators in the suprachiasmatic nucleus and their manner of synchronization"

description: Raw data used to create the figures in the paper and a file summarizing the results of these analyses
DOI: 10.5281/zenodo.7019239
title: Near-range atmospheric dispersion dataset of an anomalous selenium-75 emission

description: <strong>Description</strong> This dataset contains the different measurement data that were obtained during and in the wake of the anomalous selenium-75 (Se-75) emission from the Belgian Reactor 2 (BR2) in 2019. These data were analysed by Frankemölle <em>et al</em> (2022), who showed that they paint a consistent picture of the Se-75 emission on both the time scale of the initial puff as well as on the time scale of the residual release. In the first tab of the Excel file, the different data included in the rest of the excel file are briefly discussed. <strong>Included data</strong> On-site meteorological data In-stack measurements of Se-75 source term On-site measurements of ambient dose equivalent rates On-site deposition measurements On-site concentration measurements <strong>Original publication</strong> Frankemölle, J.P.K.W., Camps, J., De Meutter, P., Antoine, P., Delcloo, A.W., Vermeersch, F. and Meyers, J. (2022) 'Near-range atmospheric dispersion of an anomalous selenium-75 emission', <em>Journal of Environmental Radioactivity, </em>255<em>, </em>pp. 107012. DOI: https://doi.org/10.1016/j.jenvrad.2022.107012
DOI: 10.5281/zenodo.7019238
title: Near-range atmospheric dispersion dataset of an anomalous selenium-75 emission

description: <strong>Description</strong> This dataset contains the different measurement data that were obtained during and in the wake of the anomalous selenium-75 (Se-75) emission from the Belgian Reactor 2 (BR2) in 2019. These data were analysed by Frankemölle <em>et al</em> (2022), who showed that they paint a consistent picture of the Se-75 emission on both the time scale of the initial puff as well as on the time scale of the residual release. In the first tab of the Excel file, the different data included in the rest of the excel file are briefly discussed. <strong>Included data</strong> On-site meteorological data In-stack measurements of Se-75 source term On-site measurements of ambient dose equivalent rates On-site deposition measurements On-site concentration measurements <strong>Original publication</strong> Frankemölle, J.P.K.W., Camps, J., De Meutter, P., Antoine, P., Delcloo, A.W., Vermeersch, F. and Meyers, J. (2022) 'Near-range atmospheric dispersion of an anomalous selenium-75 emission', <em>Journal of Environmental Radioactivity, </em>255<em>, </em>pp. 107012. DOI: https://doi.org/10.1016/j.jenvrad.2022.107012
DOI: 10.5281/zenodo.7137436
title: µBS WP1 Storage Trial

description: Sequencing data from NAMES02 run for µBioSwine WP1's preliminary trial to compare different storage methods.
DOI: 10.5281/zenodo.7137435
title: µBS WP1 Storage Trial

description: Sequencing data from NAMES02 run for µBioSwine WP1's preliminary trial to compare different storage methods.
DOI: 10.5281/zenodo.3888006
title: HisVis: Scene Detection Pilot Training Set

description: The <em>De Boer</em> photo collection, provided by the Noord-Hollands Archief, consists of approximately two million negatives and metadata for the period 1945-2004. This training set consists of a subset of 2,545 images from the NHA online repository, an early batch of digitized images, and digitized small negatives. We took the categorization scheme for Places-365 as a starting point. We combined this scheme with information from the catalog cards that De Boer used. In making these categories, we kept in mind whether there remained a historical and visual consistency in the categories and whether the category would be of use for users of the collection. To gauge the interest of the users, we conducted several interviews. Together with archivists and cultural historians, we studied the images in the training set and settled on a categorization scheme of 159 categories. During annotation, we noticed the difficulties in distinguishing between scenes that were characterized by a particular object and scenes defined by the location or the action performed in the image.
description: The repository containes three models using different types of augmentations, as well as the training data.
DOI: 10.5281/zenodo.7071273
title: Fotopersbureau De Boer Training Set on Scene Detection

description: This dataset was created as part of the projects HisVis and <em>Fotografisch Geheugen </em>conducted by the Noord-Hollands Archief and University of Amsterdam in the Netherlands. These projects examined to what extent Computer Vision, and more specifically, scene detection could be applied to a collection of historical press photographs. A computer was trained to automatically recognize specific scenes on historical press photographs, like a ‘protest’, ‘marriage’, ‘shopping street’ or ‘baseball game’. The key aspect of scene recognition is to identify the place in which the objects seat. The specific aim of the enrichments provided by scene detection was to benefit users of the archive and cultural historians studying historical photographs. The training set contains historical press photographs of the collection of Fotopersbureau De Boer (1945-2005). This file includes the training data used for the training of a scene detection model as well as a model to detect whether a picture was taken indoors or outdoors. The model cards, data sheet, and label sheet include more information on the dataset. - examples.tar.gz contains example images for each label. The label sheet contains more information - indoor_out.tar.gz contains the training set for the indoor / outdoor model - scene_detection.tar.gz contains the training set for the scene detection model. - no_description_found.tar.gz contains images that were not linked to any class during annotation. - HisVis2-0.1.beta.tar.gz contains the source code for the software. It stems from this GitHub repo: https://github.com/melvinwevers/HisVis2 - models.tar.gz contains the trained models. These should be placed in the repo. The models are not included here because of their size. More information on the data is available in the data sheet: <br>
DOI: 10.5281/zenodo.7071274
title: Fotopersbureau De Boer Training Set on Scene Detection

description: This dataset was created as part of the projects HisVis and <em>Fotografisch Geheugen </em>conducted by the Noord-Hollands Archief and University of Amsterdam in the Netherlands. These projects examined to what extent Computer Vision, and more specifically, scene detection could be applied to a collection of historical press photographs. A computer was trained to automatically recognize specific scenes on historical press photographs, like a ‘protest’, ‘marriage’, ‘shopping street’ or ‘baseball game’. The key aspect of scene recognition is to identify the place in which the objects seat. The specific aim of the enrichments provided by scene detection was to benefit users of the archive and cultural historians studying historical photographs. The training set contains historical press photographs of the collection of Fotopersbureau De Boer (1945-2005). This file includes the training data used for the training of a scene detection model as well as a model to detect whether a picture was taken indoors or outdoors. The model cards, data sheet, and label sheet include more information on the dataset. - examples.tar.gz contains example images for each label. The label sheet contains more information - indoor_out.tar.gz contains the training set for the indoor / outdoor model - scene_detection.tar.gz contains the training set for the scene detection model. - no_description_found.tar.gz contains images that were not linked to any class during annotation. - HisVis2-0.1.beta.tar.gz contains the source code for the software. It stems from this GitHub repo: https://github.com/melvinwevers/HisVis2 - models.tar.gz contains the trained models. These should be placed in the repo. The models are not included here because of their size. More information on the data is available in the data sheet: <br>
DOI: 10.5281/zenodo.7118409
title: Fotopersbureau De Boer Training Set on Scene Detection

description: This dataset was created as part of the projects HisVis and <em>Fotografisch Geheugen </em>conducted by the Noord-Hollands Archief and University of Amsterdam in the Netherlands. These projects examined to what extent Computer Vision, and more specifically, scene detection could be applied to a collection of historical press photographs. A computer was trained to automatically recognize specific scenes on historical press photographs, like a ‘protest’, ‘marriage’, ‘shopping street’ or ‘baseball game’. The key aspect of scene recognition is to identify the place in which the objects seat. The specific aim of the enrichments provided by scene detection was to benefit users of the archive and cultural historians studying historical photographs. The training set contains historical press photographs of the collection of Fotopersbureau De Boer (1945-2005). This file includes the training data used for the training of a scene detection model as well as a model to detect whether a picture was taken indoors or outdoors. The model cards, data sheet, and label sheet include more information on the dataset. - examples.tar.gz contains example images for each label. The label sheet contains more information - indoor_out.tar.gz contains the training set for the indoor / outdoor model - scene_detection.tar.gz contains the training set for the scene detection model. - no_description_found.tar.gz contains images that were not linked to any class during annotation. - HisVis2-0.1.beta.tar.gz contains the source code for the software. It stems from this GitHub repo: https://github.com/melvinwevers/HisVis2 - models.tar.gz contains the trained models. These should be placed in the repo. The models are not included here because of their size. More information on the data is available in the data sheet: <br>
DOI: 10.5281/zenodo.7137452
title: Fotopersbureau De Boer Training Set on Scene Detection

description: This dataset was created as part of the projects HisVis and <em>Fotografisch Geheugen </em>conducted by the Noord-Hollands Archief and University of Amsterdam in the Netherlands. These projects examined to what extent Computer Vision, and more specifically, scene detection could be applied to a collection of historical press photographs. A computer was trained to automatically recognize specific scenes on historical press photographs, like a ‘protest’, ‘marriage’, ‘shopping street’ or ‘baseball game’. The key aspect of scene recognition is to identify the place in which the objects seat. The specific aim of the enrichments provided by scene detection was to benefit users of the archive and cultural historians studying historical photographs. The training set contains historical press photographs of the collection of Fotopersbureau De Boer (1945-2005). This file includes the training data used for the training of a scene detection model as well as a model to detect whether a picture was taken indoors or outdoors. The model cards, data sheet, and label sheet include more information on the dataset. - examples.tar.gz contains example images for each label. The label sheet contains more information - indoor_out.tar.gz contains the training set for the indoor / outdoor model - scene_detection.tar.gz contains the training set for the scene detection model. - no_description_found.tar.gz contains images that were not linked to any class during annotation. - HisVis2-0.1.beta.tar.gz contains the source code for the software. It stems from this GitHub repo: https://github.com/melvinwevers/HisVis2 - models.tar.gz contains the trained models. These should be placed in the repo. The models are not included here because of their size. More information on the data is available in the data sheet: <br>
DOI: 10.6084/m9.figshare.21220676
title: FarTransferTesting.xlsx

description: Data of the far transfer testing phase
DOI: 10.6084/m9.figshare.21220676.v1
title: FarTransferTesting.xlsx

description: Data of the far transfer testing phase
DOI: 10.6084/m9.figshare.21220679
title: NearTransferTesting.xlsx

description: Data of the near transfer testing phase
DOI: 10.6084/m9.figshare.21220679.v1
title: NearTransferTesting.xlsx

description: Data of the near transfer testing phase
DOI: 10.6084/m9.figshare.21220682
title: LearningMechanisms.xlsx

description: Data of assessed learning mechanisms
DOI: 10.6084/m9.figshare.21220682.v1
title: LearningMechanisms.xlsx

description: Data of assessed learning mechanisms
DOI: 10.6084/m9.figshare.21220685
title: IntermediateTesting.xlsx

description: Data of the intermediate testing phase
DOI: 10.6084/m9.figshare.21220685.v1
title: IntermediateTesting.xlsx

description: Data of the intermediate testing phase
DOI: 10.6084/m9.figshare.21220688
title: IsomorphicTesting.xlsx

description: Data of the isomorphic testing phase
DOI: 10.6084/m9.figshare.21220688.v1
title: IsomorphicTesting.xlsx

description: Data of the isomorphic testing phase
DOI: 10.6084/m9.figshare.21220691
title: ProblemSolving.xlsx

description: Data of the problem-solving phase
DOI: 10.6084/m9.figshare.21221768.v1
title: Extended Data 6

description: Descriptives of performed complementary ANCOVAs
DOI: 10.6084/m9.figshare.21221747.v1
title: Extended Data 5

description: Descriptives of all measures
DOI: 10.6084/m9.figshare.21221738.v1
title: Extended Data 4

description: All implemented questionnaire items to assess learning mechanisms
DOI: 10.6084/m9.figshare.21221690.v1
title: Extended Data 3

description: All implemented multiple choice questions
DOI: 10.5281/zenodo.6497789
title: DIAPASON Project - TUS Comparison with ISTAT

description: Datasets of TUS comparison related to DIAPASON Project (https://www.diapason-study.eu/)
DOI: 10.25440/smu.19897465
title: Online appendix to "Labor market implications of Taiwan's accession to the WTO: A dynamic quantitative analysis"

description: This is the online appendix to the working paper "Labor market implications of Taiwan’s accession to the WTO: A dynamic quantitative analysis", available at <sub>https://ink.library.smu.edu.sg/soe_research/2613/</sub> <br> <br>
DOI: 10.25440/smu.19897465.v2
title: Online appendix to "Labor market implications of Taiwan's accession to the WTO: A dynamic quantitative analysis"

description: This is the online appendix to the working paper "Labor market implications of Taiwan’s accession to the WTO: A dynamic quantitative analysis", available at <sub>https://ink.library.smu.edu.sg/soe_research/2613/</sub> <br> <br>
DOI: 10.25440/smu.19897465.v1
title: Online appendix to "Labor market implications of Taiwan's accession to the WTO: A dynamic quantitative analysis"

description: This is the online appendix to the working paper "Labor market implications of Taiwan’s accession to the WTO: A dynamic quantitative analysis", available at <sub>https://ink.library.smu.edu.sg/soe_research/2613/</sub> <br> <br>
DOI: 10.5281/zenodo.7135096
title: The Supplementary Material for the article entitled "Comparative analysis of global transcriptomes in nontyphoidal Salmonella clinical isolates from pediatric patients with and without bacteremia after infecting human intestinal epithelium in vitro"

description: The Supplementary Material (Additional files 1-5, including Table S1-S4 and Figure S1) for this article. <strong>Table S1.</strong> Upregulated genes in Group B versus Groups A and C+D. <strong>Table S2.</strong> Downregulated genes in Group B versus Groups A and C+D. <strong>Table S3. </strong>The enriched GO terms in Group B versus Groups A and C+D. <strong>Table S4. </strong>The enriched KEGG pathways in Group B versus Groups A and C+D. <strong>Figure S1. </strong>The enriched GO terms and KEGG pathways in Group B relative to Group A. Bar charts show the enriched GO terms (A) and the enriched KEGG pathways (B) by significance power. Color of bars indicate power of significance and length in x axes of bar indicate number of annotated genes in the particular term of pathway. Cnetplots show the relationship between GO term (C) and KEGG pathways (D). Dot size representing GO terms and KEGG pathways indicates number of significantly changed and its annotated genes. The GO terms or KEGG pathways connected through their common and annotated genes.
DOI: 10.5281/zenodo.7135095
title: The Supplementary Material for the article entitled "Comparative analysis of global transcriptomes in nontyphoidal Salmonella clinical isolates from pediatric patients with and without bacteremia after infecting human intestinal epithelium in vitro"

description: The Supplementary Material (Additional files 1-5, including Table S1-S4 and Figure S1) for this article. <strong>Table S1.</strong> Upregulated genes in Group B versus Groups A and C+D. <strong>Table S2.</strong> Downregulated genes in Group B versus Groups A and C+D. <strong>Table S3. </strong>The enriched GO terms in Group B versus Groups A and C+D. <strong>Table S4. </strong>The enriched KEGG pathways in Group B versus Groups A and C+D. <strong>Figure S1. </strong>The enriched GO terms and KEGG pathways in Group B relative to Group A. Bar charts show the enriched GO terms (A) and the enriched KEGG pathways (B) by significance power. Color of bars indicate power of significance and length in x axes of bar indicate number of annotated genes in the particular term of pathway. Cnetplots show the relationship between GO term (C) and KEGG pathways (D). Dot size representing GO terms and KEGG pathways indicates number of significantly changed and its annotated genes. The GO terms or KEGG pathways connected through their common and annotated genes.
DOI: 10.5281/zenodo.7137498
title: The Supplementary Material for the article entitled "Comparative analysis of global transcriptomes in nontyphoidal Salmonella clinical isolates from pediatric patients with and without bacteremia after infecting human intestinal epithelium in vitro"

description: The Supplementary Material (Additional files 1-5, including Table S1-S4 and Figure S1) for this article. <strong>Table S1.</strong> Upregulated genes in Group B versus Groups A and C+D. <strong>Table S2.</strong> Downregulated genes in Group B versus Groups A and C+D. <strong>Table S3. </strong>The enriched GO terms in Group B versus Groups A and C+D. <strong>Table S4. </strong>The enriched KEGG pathways in Group B versus Groups A and C+D. <strong>Figure S1. </strong>The enriched GO terms and KEGG pathways in Group B relative to Group A. Bar charts show the enriched GO terms (A) and the enriched KEGG pathways (B) by significance power. Color of bars indicate power of significance and length in x axes of bar indicate number of annotated genes in the particular term of pathway. Cnetplots show the relationship between GO term (C) and KEGG pathways (D). Dot size representing GO terms and KEGG pathways indicates number of significantly changed and its annotated genes. The GO terms or KEGG pathways connected through their common and annotated genes.
DOI: 10.6084/m9.figshare.20526921
title: Supplementary Material for: Idiopathic multifocal choroiditis and punctate inner choroidopathy: evaluation of risk factors for increased relapse rate. A 2-year prospective observational cohort study

description: Introduction The aim of this study is to describe the course of disease in patients with idiopathic multifocal choroiditis (MFC) and punctate inner choroidopathy (PIC) and to identify risk factors associated with an increased relapse rate of disease activity. Methods In this prospective observational cohort study, demographical and clinical data were collected concerning the relapses rate of disease activity, the conclusions of the multimodal imaging results, treatment, complications and self-reported quality of life. Disease activity was defined as new inflammatory lesions or active inflammation in pre-existing chorioretinal lesions either with or without active choroidal neovascularization (CNV). Linear regression analysis was performed to identify risk factors associated with an increased relapse rate. Results In total 122 eyes of 82 patients (93% females) were included with a median age (IQR) of 45 (37-54) years. A history of secondary CNV was present in 66% of the eyes. During follow-up the best-corrected visual acuity remained stable despite a median relapse rate (IQR) of 1.0 (0.25-3). Cycles of oral corticosteroids was given in 59% of the patients, 72% were treated at baseline or started treatment during follow-up with a disease-modifying antirheumatic drug (DMARD) and 35% with a biological agent in addition to the DMARD. Both a history of secondary CNV (B=1.2, 95% CI 0.7-1.7, P=3.6×10-5) and high myopia (&lt;-6 diopters) (B=0.6, 95% CI 0.1-1.1, P=0.02) independently increased the relapse rate of disease activity. Discussion/Conclusion A history of secondary CNV and high myopia were associated with an increased relapse rate of disease activity. Moreover, the results of this study emphasize the challenging character of treating patients with MFC/PIC.