cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10200578
title: Bibliographie du XVIIIe Dataset (BIB18)

description: This dataset contains about 62.000 bibliographical references relevant to the domain of Eighteenth-Century Studies, in several file formats, notably BibTeX, Zotero RDF, JSON. 
Source of the data: Benoît Melançon, for background information see mapageweb.umontreal.ca/melancon/donnees_biblios_1_550.html and for the Dataverse deposit, see doi.org/10.5683/SP3/PYYEEH.
For more information on the transformation process, see: github.com/christofs/BIB18. The transformation was performed in May 2023.
The full bibliography can also be consulted on Zotero, see: zotero.org/groups/5067408/BIB18.
Note that Benoît Melançon specifies: "Quiconque souhaite s'approprier ces données peut le faire, sous deux conditions. 1. L'attribution de la collecte des données doit toujours être rappelée, par exemple sous la forme «Données colligées par Benoît Melançon». 2. Aucune exploitation commerciale de ces données n'est tolérée. Elles ne peuvent pas être vendues sous quelque forme que ce soit. Autrement dit, chez Creative Commons : Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) — https://creativecommons.org/licenses/by-nc/4.0/."
DOI: 10.5281/zenodo.10200579
title: Bibliographie du XVIIIe Dataset (BIB18)

description: This dataset contains about 62.000 bibliographical references relevant to the domain of Eighteenth-Century Studies, in several file formats, notably BibTeX, Zotero RDF, JSON. 
Source of the data: Benoît Melançon, for background information see mapageweb.umontreal.ca/melancon/donnees_biblios_1_550.html and for the Dataverse deposit, see doi.org/10.5683/SP3/PYYEEH.
For more information on the transformation process, see: github.com/christofs/BIB18. The transformation was performed in May 2023.
The full bibliography can also be consulted on Zotero, see: zotero.org/groups/5067408/BIB18.
Note that Benoît Melançon specifies: "Quiconque souhaite s'approprier ces données peut le faire, sous deux conditions. 1. L'attribution de la collecte des données doit toujours être rappelée, par exemple sous la forme «Données colligées par Benoît Melançon». 2. Aucune exploitation commerciale de ces données n'est tolérée. Elles ne peuvent pas être vendues sous quelque forme que ce soit. Autrement dit, chez Creative Commons : Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) — https://creativecommons.org/licenses/by-nc/4.0/."
DOI: 10.6084/m9.figshare.24623736
title: WWTP HQ rMAGs

description: The HQ rMAGs recovered from the full-scale WWTPs.
DOI: 10.6084/m9.figshare.23579262
title: Data in support of "Colloidal diffusiophoresis in crossed electrolyte gradients: experimental demonstration of an `action at a distance' effect predicted by the Nernst-Planck equations"

description: Experimental and modeling data used in the article "Colloidal diffusiophoresis in crossed electrolyte gradients: experimental demonstration of an `action at a distance' effect predicted by the Nernst-Planck equations" by Ian Williams, Patrick B. Warren, Richard P. Sear, and Joseph L. Keddie.
DOI: 10.6084/m9.figshare.23579262.v1
title: Data in support of "Colloidal diffusiophoresis in crossed electrolyte gradients: experimental demonstration of an `action at a distance' effect predicted by the Nernst-Planck equations"

description: Experimental and modeling data used in the article "Colloidal diffusiophoresis in crossed electrolyte gradients: experimental demonstration of an `action at a distance' effect predicted by the Nernst-Planck equations" by Ian Williams, Patrick B. Warren, Richard P. Sear, and Joseph L. Keddie.
DOI: 10.5519/qd.spgr8y2m
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (383217 records)
DOI: 10.5281/zenodo.10198657
title: Single cell RNA-seq transcriptomic profile of circulating immune and progenitor cells in a mouse model of neonatal hypoxic/ischemic (HI) brain damage.

description: Hematopoietic cells play a pivotal role in regulating the inflammatory and reparative immune responses triggered after ischemic tissue damage. The response initiated within the injured tissue leads to compositional and transcriptional changes in circulating hematopoietic and progenitor cells, which have been utilized as biomarkers. While the importance of different immune and progenitor cell subtypes in the development of ischemic damage has been extensively researched in adult tissue injuries, there has been limited investigation in neonates. This is a critical developmental stage where ischemic damage can result in severe and irreversible health consequences if not promptly treated. To determine how ischemic damage could affect circulating cells in neonates, we have induced hypoxic-ischemic (HI) brain damage in seven-day-old mice, characterized by focal white and gray-matter injury (Rice-Vannucci model). Brain damage and circulating cells were analyzed at 48h post-HI, the intermediate reparative/inflammatory response phase post-injury.  We applied scRNAseq to dissect the transcriptional and cellular composition changes in the peripheral blood of HI-treated and SHAM control neonates. This study provides the first scRNAseq dataset for immune and progenitor circulating cells in newborns with cerebral HI damage. It may help to identify biomarkers and selective therapeutic approaches aimed at modulating inflammatory and reparative pathways. 
CD1 postnatal day 7 (P7) mice were subjected to   hypoxic/ischemic (HI) brain injury by permanent ligation of the left common carotid artery followed, after 2h recover, by relocation to  a hypoxia chamber for 90 minutes. Sham control mice (SHAM) underwent a skin incision and wound closure followed by hypoxia exposure.  Circulating blood cells were collected from SHAM and HI mice at P9. After red blood cells (RBC) lysis, 7AAD-Ter119- cells were FACS sorted and analysed using sc RNAseq. Other samples were FACS sorted for CD45+CD11+ and CD45-CD31+ cells and mixed.
DOI: 10.5281/zenodo.10184579
title: Polymer Electrolyte Membrane Water Electrolyzer Oxygen Bubble Evolution Optical Video Recording For Deep Learning-Enhanced Characterization of Bubble Dynamics in Proton Exchange Membrane Water Electrolyzer by André Colliard-Granero, Keusra A. Gompou, Christian Rodenbücher, Kourosh Malek, Michael H. Eikerling, and Mohammad J. Eslamibidgoli

description: Dataset used for the training of the segmentation model employed in the work "Deep Learning-Enhanced Characterization of Bubble Dynamics in Proton Exchange Membrane Water Electrolyzer" by André Colliard-Granero, Keusra A. Gompou, Christian Rodenbücher, Kourosh Malek, Michael H. Eikerling, and Mohammad J. Eslamibidgoli. This dataset consists in 35 images and the corresponding manual annotated masks of diverse bubbly scenarios extracted from the optical video recording of a PEMWE with a transparent flow field.
DOI: 10.5281/zenodo.10184578
title: Polymer Electrolyte Membrane Water Electrolyzer Oxygen Bubble Evolution Optical Video Recording For Deep Learning-Enhanced Characterization of Bubble Dynamics in Proton Exchange Membrane Water Electrolyzer by André Colliard-Granero, Keusra A. Gompou, Christian Rodenbücher, Kourosh Malek, Michael H. Eikerling, and Mohammad J. Eslamibidgoli

description: Dataset used for the training of the segmentation model employed in the work "Deep Learning-Enhanced Characterization of Bubble Dynamics in Proton Exchange Membrane Water Electrolyzer" by André Colliard-Granero, Keusra A. Gompou, Christian Rodenbücher, Kourosh Malek, Michael H. Eikerling, and Mohammad J. Eslamibidgoli. This dataset consists in 35 images and the corresponding manual annotated masks of diverse bubbly scenarios extracted from the optical video recording of a PEMWE with a transparent flow field.
DOI: 10.34740/kaggle/dsv/7034749
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.6084/m9.figshare.24623937
title: Supplementary Material for: Simulated patients to demonstrate common stroke syndromes: accurate and convincing

description: Introduction Stroke detection in the preclinical setting is challenging, resulting in more than 1/3 of missed strokes by EMS personnel. Recently, prehospital identification of anterior large vessel occlusion (LVO) stroke has come into focus. Cortical signs have a high predictive value for the presence of LVO stroke but are often missed. Simulated patients (SPs) could be an excellent tool to train EMS personnel in the evaluation of stroke syndromes with cortical symptoms but it has not been studied whether they can simulate these important signs convincingly. The main objective of this study was thus to examine whether SPs can simulate stroke syndromes and symptoms so that stroke experts can identify them correctly and reliably, applying the NIH stroke scale (NIHSS). Methods Lay actors were trained to simulate one of 8 stroke syndromes either typical of a lacunary stroke or of an anterior LVO stroke and then videotaped during an examination according to the NIHSS. Stroke experts were asked to rate each item of the NIHSS based on the videos, determine which stroke syndrome was being demonstrated, and rate the quality of the simulation. The primary outcome was the correct identification of the target stroke syndrome by the expert raters. Secondary outcomes were the agreement of the rating of the NIHSS score with the target NIHSS score and the expert raters’ assessment of the quality of the simulation. Results Seven of eight syndromes were rated correctly by at least twelve of fifteen raters and the mean rated NIHSS score was within one point of the target score for six of eight syndromes. The mean rating for the quality of simulation was between 3.54 and 3.98 (as rated on a scale from 1 to 4) for each syndrome. Discussion/Conclusion SPs are capable of simulating acute stroke symptoms and syndromes accurately and convincingly. They thus represent a great resource to improve educational interventions that improve stroke recognition.
DOI: 10.6084/m9.figshare.24623937.v1
title: Supplementary Material for: Simulated patients to demonstrate common stroke syndromes: accurate and convincing

description: Introduction Stroke detection in the preclinical setting is challenging, resulting in more than 1/3 of missed strokes by EMS personnel. Recently, prehospital identification of anterior large vessel occlusion (LVO) stroke has come into focus. Cortical signs have a high predictive value for the presence of LVO stroke but are often missed. Simulated patients (SPs) could be an excellent tool to train EMS personnel in the evaluation of stroke syndromes with cortical symptoms but it has not been studied whether they can simulate these important signs convincingly. The main objective of this study was thus to examine whether SPs can simulate stroke syndromes and symptoms so that stroke experts can identify them correctly and reliably, applying the NIH stroke scale (NIHSS). Methods Lay actors were trained to simulate one of 8 stroke syndromes either typical of a lacunary stroke or of an anterior LVO stroke and then videotaped during an examination according to the NIHSS. Stroke experts were asked to rate each item of the NIHSS based on the videos, determine which stroke syndrome was being demonstrated, and rate the quality of the simulation. The primary outcome was the correct identification of the target stroke syndrome by the expert raters. Secondary outcomes were the agreement of the rating of the NIHSS score with the target NIHSS score and the expert raters’ assessment of the quality of the simulation. Results Seven of eight syndromes were rated correctly by at least twelve of fifteen raters and the mean rated NIHSS score was within one point of the target score for six of eight syndromes. The mean rating for the quality of simulation was between 3.54 and 3.98 (as rated on a scale from 1 to 4) for each syndrome. Discussion/Conclusion SPs are capable of simulating acute stroke symptoms and syndromes accurately and convincingly. They thus represent a great resource to improve educational interventions that improve stroke recognition.
DOI: 10.6084/m9.figshare.24623940
title: Supplementary Material for: Simulated patients to demonstrate common stroke syndromes: accurate and convincing

description: Introduction Stroke detection in the preclinical setting is challenging, resulting in more than 1/3 of missed strokes by EMS personnel. Recently, prehospital identification of anterior large vessel occlusion (LVO) stroke has come into focus. Cortical signs have a high predictive value for the presence of LVO stroke but are often missed. Simulated patients (SPs) could be an excellent tool to train EMS personnel in the evaluation of stroke syndromes with cortical symptoms but it has not been studied whether they can simulate these important signs convincingly. The main objective of this study was thus to examine whether SPs can simulate stroke syndromes and symptoms so that stroke experts can identify them correctly and reliably, applying the NIH stroke scale (NIHSS). Methods Lay actors were trained to simulate one of 8 stroke syndromes either typical of a lacunary stroke or of an anterior LVO stroke and then videotaped during an examination according to the NIHSS. Stroke experts were asked to rate each item of the NIHSS based on the videos, determine which stroke syndrome was being demonstrated, and rate the quality of the simulation. The primary outcome was the correct identification of the target stroke syndrome by the expert raters. Secondary outcomes were the agreement of the rating of the NIHSS score with the target NIHSS score and the expert raters’ assessment of the quality of the simulation. Results Seven of eight syndromes were rated correctly by at least twelve of fifteen raters and the mean rated NIHSS score was within one point of the target score for six of eight syndromes. The mean rating for the quality of simulation was between 3.54 and 3.98 (as rated on a scale from 1 to 4) for each syndrome. Discussion/Conclusion SPs are capable of simulating acute stroke symptoms and syndromes accurately and convincingly. They thus represent a great resource to improve educational interventions that improve stroke recognition.
DOI: 10.6084/m9.figshare.24623940.v1
title: Supplementary Material for: Simulated patients to demonstrate common stroke syndromes: accurate and convincing

description: Introduction Stroke detection in the preclinical setting is challenging, resulting in more than 1/3 of missed strokes by EMS personnel. Recently, prehospital identification of anterior large vessel occlusion (LVO) stroke has come into focus. Cortical signs have a high predictive value for the presence of LVO stroke but are often missed. Simulated patients (SPs) could be an excellent tool to train EMS personnel in the evaluation of stroke syndromes with cortical symptoms but it has not been studied whether they can simulate these important signs convincingly. The main objective of this study was thus to examine whether SPs can simulate stroke syndromes and symptoms so that stroke experts can identify them correctly and reliably, applying the NIH stroke scale (NIHSS). Methods Lay actors were trained to simulate one of 8 stroke syndromes either typical of a lacunary stroke or of an anterior LVO stroke and then videotaped during an examination according to the NIHSS. Stroke experts were asked to rate each item of the NIHSS based on the videos, determine which stroke syndrome was being demonstrated, and rate the quality of the simulation. The primary outcome was the correct identification of the target stroke syndrome by the expert raters. Secondary outcomes were the agreement of the rating of the NIHSS score with the target NIHSS score and the expert raters’ assessment of the quality of the simulation. Results Seven of eight syndromes were rated correctly by at least twelve of fifteen raters and the mean rated NIHSS score was within one point of the target score for six of eight syndromes. The mean rating for the quality of simulation was between 3.54 and 3.98 (as rated on a scale from 1 to 4) for each syndrome. Discussion/Conclusion SPs are capable of simulating acute stroke symptoms and syndromes accurately and convincingly. They thus represent a great resource to improve educational interventions that improve stroke recognition.
DOI: 10.25403/upresearchdata.24608430
title: Role of MyD88 intermediate domain in Myddosome complex assembly

description: The dataset provided contains the tables and figures for the MSc dissertation titled "The role of the MyD88 intermediate domain in the formation of the Myddosome assemble in innate immunity". This project set out to investigate the role of the MyD88 intermediate domain in the assembly of the Myddosome complex. Two variants of MyD88 were therefore expressed in addition to the IRAK-4 death domain to reconstitute the Myddosome complex. The two variants were the MyD88 death domain and MyD88 that contained both the death and intermediate domains. MyD88 that lacked the intermediate domain was found to be an oligomer using size exclusion chromatography and dynamic light scattering. However, MyD88 that contained only the death domain was monomeric. MyD88 that contained both the death and intermediate domain was mixed with IRAK-4 death domain to reconstitute the Myddosome complex. As expected, we managed to form the Myddosome complex. The presence of this complex was confirmed by size exclusion chromatography and SDS-PAGE. On the contrary, the MyD88 death domain that lacked the intermediate domain failed to form the Myddosome complex when mixed with IRAK-4 death domain. This finding showed that the MyD88 intermediate domain was essential for the Myddosome assembly. It was also in support of existing literature that MyD88 does not interact with IRAK-4 in the absence of its intermediate domain.
DOI: 10.25403/upresearchdata.24608430.v1
title: Role of MyD88 intermediate domain in Myddosome complex assembly

description: The dataset provided contains the tables and figures for the MSc dissertation titled "The role of the MyD88 intermediate domain in the formation of the Myddosome assemble in innate immunity". This project set out to investigate the role of the MyD88 intermediate domain in the assembly of the Myddosome complex. Two variants of MyD88 were therefore expressed in addition to the IRAK-4 death domain to reconstitute the Myddosome complex. The two variants were the MyD88 death domain and MyD88 that contained both the death and intermediate domains. MyD88 that lacked the intermediate domain was found to be an oligomer using size exclusion chromatography and dynamic light scattering. However, MyD88 that contained only the death domain was monomeric. MyD88 that contained both the death and intermediate domain was mixed with IRAK-4 death domain to reconstitute the Myddosome complex. As expected, we managed to form the Myddosome complex. The presence of this complex was confirmed by size exclusion chromatography and SDS-PAGE. On the contrary, the MyD88 death domain that lacked the intermediate domain failed to form the Myddosome complex when mixed with IRAK-4 death domain. This finding showed that the MyD88 intermediate domain was essential for the Myddosome assembly. It was also in support of existing literature that MyD88 does not interact with IRAK-4 in the absence of its intermediate domain.
DOI: 10.6084/m9.figshare.24623952
title: Supplementary Material for: Simulated patients to demonstrate common stroke syndromes: accurate and convincing

description: Introduction Stroke detection in the preclinical setting is challenging, resulting in more than 1/3 of missed strokes by EMS personnel. Recently, prehospital identification of anterior large vessel occlusion (LVO) stroke has come into focus. Cortical signs have a high predictive value for the presence of LVO stroke but are often missed. Simulated patients (SPs) could be an excellent tool to train EMS personnel in the evaluation of stroke syndromes with cortical symptoms but it has not been studied whether they can simulate these important signs convincingly. The main objective of this study was thus to examine whether SPs can simulate stroke syndromes and symptoms so that stroke experts can identify them correctly and reliably, applying the NIH stroke scale (NIHSS). Methods Lay actors were trained to simulate one of 8 stroke syndromes either typical of a lacunary stroke or of an anterior LVO stroke and then videotaped during an examination according to the NIHSS. Stroke experts were asked to rate each item of the NIHSS based on the videos, determine which stroke syndrome was being demonstrated, and rate the quality of the simulation. The primary outcome was the correct identification of the target stroke syndrome by the expert raters. Secondary outcomes were the agreement of the rating of the NIHSS score with the target NIHSS score and the expert raters’ assessment of the quality of the simulation. Results Seven of eight syndromes were rated correctly by at least twelve of fifteen raters and the mean rated NIHSS score was within one point of the target score for six of eight syndromes. The mean rating for the quality of simulation was between 3.54 and 3.98 (as rated on a scale from 1 to 4) for each syndrome. Discussion/Conclusion SPs are capable of simulating acute stroke symptoms and syndromes accurately and convincingly. They thus represent a great resource to improve educational interventions that improve stroke recognition.
DOI: 10.6084/m9.figshare.24623952.v1
title: Supplementary Material for: Simulated patients to demonstrate common stroke syndromes: accurate and convincing

description: Introduction Stroke detection in the preclinical setting is challenging, resulting in more than 1/3 of missed strokes by EMS personnel. Recently, prehospital identification of anterior large vessel occlusion (LVO) stroke has come into focus. Cortical signs have a high predictive value for the presence of LVO stroke but are often missed. Simulated patients (SPs) could be an excellent tool to train EMS personnel in the evaluation of stroke syndromes with cortical symptoms but it has not been studied whether they can simulate these important signs convincingly. The main objective of this study was thus to examine whether SPs can simulate stroke syndromes and symptoms so that stroke experts can identify them correctly and reliably, applying the NIH stroke scale (NIHSS). Methods Lay actors were trained to simulate one of 8 stroke syndromes either typical of a lacunary stroke or of an anterior LVO stroke and then videotaped during an examination according to the NIHSS. Stroke experts were asked to rate each item of the NIHSS based on the videos, determine which stroke syndrome was being demonstrated, and rate the quality of the simulation. The primary outcome was the correct identification of the target stroke syndrome by the expert raters. Secondary outcomes were the agreement of the rating of the NIHSS score with the target NIHSS score and the expert raters’ assessment of the quality of the simulation. Results Seven of eight syndromes were rated correctly by at least twelve of fifteen raters and the mean rated NIHSS score was within one point of the target score for six of eight syndromes. The mean rating for the quality of simulation was between 3.54 and 3.98 (as rated on a scale from 1 to 4) for each syndrome. Discussion/Conclusion SPs are capable of simulating acute stroke symptoms and syndromes accurately and convincingly. They thus represent a great resource to improve educational interventions that improve stroke recognition.
DOI: 10.6084/m9.figshare.24623817
title: An improved pathway for autonomous bioluminescence imaging in eukaryotes - Datasets

description: Datasets in .csv or .xlsx format sorted into folders by figures. In some cases additional files with roi/well-to-sample mapping were provided.For more details contact authors.