cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19808560
title: Samples of freshwater mussels from the Volga and Don basins with information on the prevalence and intensity of Helobdella stagnalis infestation

description: The dataset supplements our article on the records of the leech species <em>Helobdella stagnalis</em> (Glossiphoniidae) from the mantle cavity of freshwater mussels (Unionidae) in Europe (Bolotov <em>et al.</em> 2022). It contains data on samples of freshwater mussels from the Volga and Don basins, European Russia with information on the prevalence and intensity of <em>Helobdella stagnalis</em> infestation. These samples were collected during the period of 15–28 June 2021. In total, 31 samples of 254 freshwater mussel specimens were examined. The samples contain five freshwater mussel species as follows (the number of collected specimens is given in parentheses): <em>Anodonta anatina</em> (Linnaeus, 1758) (<em>N</em> = 122), <em>A. cygnea</em> (Linnaeus, 1758) (<em>N</em> = 12), <em>Unio crassus</em> Philipsson in Retzius, 1788 (<em>N</em> = 9), <em>U. pictorum</em> (Linnaeus, 1758) and <em>U. tumidus</em> Philipsson in Retzius, 1788 (<em>N</em> = 111). The mantle cavity of each freshwater mussel specimen was examined, and leeches (<em>Helobdella stagnalis</em>; Glossiphoniidae) were collected using forceps. The samples of freshwater mussels and leeches are deposited in RMBH – Russian Museum of Biodiversity Hotspots, N. Laverov Federal Center for Integrated Arctic Research of the Ural Branch of the Russian Academy of Sciences, Arkhangelsk, Russia. The Leech Infestation Prevalence (<em>LIP</em>, %) and the intensity of leech infestation (<em>ILI</em>, leeches per mussel) were calculated as described in Bolotov <em>et al.</em> (2019). <br> <strong>References</strong> Bolotov, I. N., Eliseeva, T. A., Kondakov, A. V., Gofarov, M. Y., Konopleva, E. S., Lyubas, A. A. & Vikhrev, I. V. (2022) <em>Helobdella stagnalis</em> (Hirudinea: Glossiphoniidae), the first facultative mussel-associated leech in Europe. <em>Ecologica Montenegrina</em>, 54, 32-43. https://doi.org/10.37828/em.2022.54.5 Bolotov, I. N. <em>et al.</em> (2019) Freshwater mussels house a diverse mussel-associated leech assemblage. <em>Scientific Reports,</em> 9, 16449. https://doi.org/10.1038/s41598-019-52688-3
DOI: 10.25934/00005538
title: A Systems Vaccinology Approach Reveals Temporal Transcriptomic Changes of Immune Responses to the Yellow Fever 17D Vaccine.

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00005539
title: Immunologic and genomic signatures of influenza vaccine response - 2013 (see companion studies SDY63, SDY404, SDY400)

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25318/3310050201-eng
title: Private sector business counts by majority ownership, second quarter of 2022

description: Private sector business counts by majority ownership, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2022.
DOI: 10.25934/00005540
title: Systems Biology Analysis of the response to Licensed Hepatitis B Vaccine (HEPLISAV) in Whole Blood (see companion studies SDY816 and SDY690)

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00005542
title: ADVN Biomarker Registry Study

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00005525
title: Islet Transplantation in Type 1 Diabetes (CIT-07) and Extended Follow Up after Islet Transplantation in Type 1 Diabetes (CIT-08)

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25318/3310050201-fra
title: Entreprises du secteur privé, selon le propriétaire majoritaire, deuxième trimestre de 2022

description: Entreprises du secteur privé, selon le propriétaire majoritaire, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, deuxième trimestre de 2022.
DOI: 10.25934/00005526
title: Clinical Islet Transplantation Consortium (CITC) {NCT00789308, NCT00464555 and NCT00434850}

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00005527
title: T cell responses to H1N1v and a longitudinal study of seasonal influenza vaccination (TIV) SLVP015 2009 (See companion studies SDY315 2012 / SDY314 2008 / SDY311 2010 / SDY112 2011)

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00005528
title: T cell responses to H1N1v and a longitudinal study of seasonal influenza vaccination (TIV) SLVP015 2010 (See companion studies SDY315 2012 / SDY312 2009 / SDY314 2008 / SDY112 2011)

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00005529
title: VZV vaccination in the elderly SLVP020

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25318/3310050301-eng
title: Business or organization expectations over the next three months, second quarter of 2022

description: Expectations over the next three months by the business or organization, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2022.
DOI: 10.25318/3310050301-fra
title: Attentes des entreprises ou des organismes pour les trois prochains mois, deuxième trimestre de 2022

description: Attentes des entreprises ou des organismes pour les trois prochains mois, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, deuxième trimestre de 2022.
DOI: 10.25318/3310050401-eng
title: Business or organization obstacles over the next three months, second quarter of 2022

description: Obstacles faced by the business or organization over the next three months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2022.
DOI: 10.34740/kaggle/dsv/3450700
title: knowcovid19
DOI: 10.25318/3310050401-fra
title: Obstacles à surmonter par les entreprises ou organismes au cours des trois prochains mois, deuxième trimestre de 2022

description: Obstacles à surmonter par les entreprises ou les organismes au cours des trois prochains mois, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, deuxième trimestre de 2022.
DOI: 10.5281/zenodo.6076614
title: Xenopus tissue data for testing segmentation models

description: <pre>This dataset is of xenopus tissue imaged with the following settings and it comes with a trained UNET model for performing the segmentation of such tissues. In order to use the segmentation model please install the vollseg-napari plugin from the napari hub and the model will be automatically downloaded for usage. Dataset was acquired by Mari Tolonen and Jakub Sedzinski, (0000-0002-4395-9022,0000-0002-1788-0329) at the university of Copenhagen and the model was trained by Varun Kapoor at Kapoorlabs. A Z projection of 21 Z slices acquired by the ImageJ Z Projection plugin was performed on the original acquired data. ObjectiveSettings ID="Objective:0" Medium="Water" RefractiveIndex="1.333"</pre> <pre>LensNA="1.2000000000000002" Model="C-Apochromat 40x/1.2 W AutoCorr M27" NominalMagnification="40.0"</pre> <pre>Physical Size X="0.6918881841365326" Physical Size X Unit="µm" </pre> <pre>Physical Size Y="0.6918881841365326" Physical Size Y Unit="µm" </pre> <pre>Physical Size Z="2.0" Physical Size Z Unit="µm"</pre> <pre>Time interval frames 1-160: 182 sec Time interval frames 161-262: 283 sec</pre> <pre>SignificantBits="8" Type="uint8"&gt;</pre> <pre>Channel AcquisitionMode="LaserScanningConfocalMicroscopy" ExcitationWavelength="488.0" ExcitationWavelengthUnit="nm" Fluor="EGFP"</pre>
description: Computational support provided by Jean Zay dynamic access grant: AD011013396 Monetary Support by Grant#: 2021-240715(5022) from Chan Zuckerberg Innitiative and Silicon Valley community foundation.
DOI: 10.5281/zenodo.6076613
title: Xenopus tissue data for testing segmentation models

description: <pre>This dataset is of xenopus tissue imaged with the following settings and it comes with a trained UNET model for performing the segmentation of such tissues. In order to use the segmentation model please install the vollseg-napari plugin from the napari hub and the model will be automatically downloaded for usage. Dataset was acquired by Mari Tolonen and Jakub Sedzinski, (0000-0002-4395-9022,0000-0002-1788-0329) at the university of Copenhagen and the model was trained by Varun Kapoor at Kapoorlabs. A Z projection of 21 Z slices acquired by the ImageJ Z Projection plugin was performed on the original acquired data. ObjectiveSettings ID="Objective:0" Medium="Water" RefractiveIndex="1.333"</pre> <pre>LensNA="1.2000000000000002" Model="C-Apochromat 40x/1.2 W AutoCorr M27" NominalMagnification="40.0"</pre> <pre>Physical Size X="0.6918881841365326" Physical Size X Unit="µm" </pre> <pre>Physical Size Y="0.6918881841365326" Physical Size Y Unit="µm" </pre> <pre>Physical Size Z="2.0" Physical Size Z Unit="µm"</pre> <pre>Time interval frames 1-160: 182 sec Time interval frames 161-262: 283 sec</pre> <pre>SignificantBits="8" Type="uint8"&gt;</pre> <pre>Channel AcquisitionMode="LaserScanningConfocalMicroscopy" ExcitationWavelength="488.0" ExcitationWavelengthUnit="nm" Fluor="EGFP"</pre>
description: Computational support provided by Jean Zay dynamic access grant: AD011013396 Monetary Support by Grant#: 2021-240715(5022) from Chan Zuckerberg Innitiative and Silicon Valley community foundation.
DOI: 10.5281/zenodo.6677467
title: Storytelling and its influence on the tourist promotion of the national sanctuary of Huayllay, Pasco Region-2021

description: <strong>Background:</strong> The objective of the study article was to determine the influence of Storytelling in the tourist promotion of the National Sanctuary of Huayllay <strong>Methods:</strong> For which a quantitative approach study was used, pre-experimental design with a single control group, the study population consisted of 19 visitors to which (Pre test-post test). <strong>Results:</strong> The information collected was processed through the statistical program spss, and then the Eta analysis was performed to determine the degree of influence between the variables of study. The result obtained was 0.677/0.795, which indicates that storytelling does influence the tourism promotion of the place. The importance of the study consists in the investigation of a new commercial communication tool known as storytelling, which appeals to the emotional factor, and which already represents a successful model in different countries of the world, since it has reached an extraordinary importance in the decision-making process of potential tourists and has turned out to be an excellent alternative for the promotion of tourist destinations. <strong>Conclusion:</strong> The study was able to demonstrate that Storytelling can be used as a tool for tourism promotion not only at the level of the locality of the area of the study site, but also at the national level. <strong>Background:</strong> The objective of the study article was to determine the influence of Storytelling in the tourist promotion of the National Sanctuary of Huayllay <strong>Methods:</strong> For which a quantitative approach study was used, pre-experimental design with a single control group, the study population consisted of 19 visitors to which (Pre test-post test). <strong>Results:</strong> The information collected was processed through the statistical program spss, and then the Eta analysis was performed to determine the degree of influence between the variables of study. The result obtained was 0.677/0.795, which indicates that storytelling does influence the tourism promotion of the place. The importance of the study consists in the investigation of a new commercial communication tool known as storytelling, which appeals to the emotional factor, and which already represents a successful model in different countries of the world, since it has reached an extraordinary importance in the decision-making process of potential tourists and has turned out to be an excellent alternative for the promotion of tourist destinations. <strong>Conclusion:</strong> The study was able to demonstrate that Storytelling can be used as a tool for tourism promotion not only at the level of the locality of the area of the study site, but also at the national level.
DOI: 10.5281/zenodo.6508621
title: Storytelling and its influence on the tourist promotion of the national sanctuary of Huayllay, Pasco Region-2021

description: <strong>Background:</strong> The objective of the study article was to determine the influence of Storytelling in the tourist promotion of the National Sanctuary of Huayllay <strong>Methods:</strong> For which a quantitative approach study was used, pre-experimental design with a single control group, the study population consisted of 19 visitors to which (Pre test-post test). <strong>Results:</strong> The information collected was processed through the statistical program spss, and then the Eta analysis was performed to determine the degree of influence between the variables of study. The result obtained was 0.677/0.795, which indicates that storytelling does influence the tourism promotion of the place. The importance of the study consists in the investigation of a new commercial communication tool known as storytelling, which appeals to the emotional factor, and which already represents a successful model in different countries of the world, since it has reached an extraordinary importance in the decision-making process of potential tourists and has turned out to be an excellent alternative for the promotion of tourist destinations. <strong>Conclusion:</strong> The study was able to demonstrate that Storytelling can be used as a tool for tourism promotion not only at the level of the locality of the area of the study site, but also at the national level. <strong>Background:</strong> The objective of the study article was to determine the influence of Storytelling in the tourist promotion of the National Sanctuary of Huayllay <strong>Methods:</strong> For which a quantitative approach study was used, pre-experimental design with a single control group, the study population consisted of 19 visitors to which (Pre test-post test). <strong>Results:</strong> The information collected was processed through the statistical program spss, and then the Eta analysis was performed to determine the degree of influence between the variables of study. The result obtained was 0.677/0.795, which indicates that storytelling does influence the tourism promotion of the place. The importance of the study consists in the investigation of a new commercial communication tool known as storytelling, which appeals to the emotional factor, and which already represents a successful model in different countries of the world, since it has reached an extraordinary importance in the decision-making process of potential tourists and has turned out to be an excellent alternative for the promotion of tourist destinations. <strong>Conclusion:</strong> The study was able to demonstrate that Storytelling can be used as a tool for tourism promotion not only at the level of the locality of the area of the study site, but also at the national level.
DOI: 10.5281/zenodo.6403439
title: Test datasets for segmentation (2D, 3D, timelapses)

description: Datasets for testing: 1) Arabidopsis in 3D with membrane labelling for testing Unet, Stardist and denoising models. 2) Ascadian embryo in 3D imaged via light sheet for testing Unet and Stardist models. 3) Carcinoma cells 3D + time data imaged under low SNR conditions for testing Unet, Stardist and Denoising models. 4) Tissue in 2D + time for testing Unet models. Data imaged by Mari Tolonen at the University of Copenhagen. 5) Nuclei in 3D. Raw, GT and model prediction. Data imaged by Mari Tolonen at the University of Copenhagen. 6) Nuclei cell mask 2D. Raw, GT and model prediction. Data imaged by Mari Tolonen at the University of Copenhagen
description: Computational support provided by Jean Zay dynamic access grant: AD011013396 Monetary Support by Grant#: 2021-240715(5022) from Chan Zuckerberg Innitiative and Silicon Valley community foundation.
DOI: 10.5281/zenodo.5911454
title: Test datasets for segmentation (2D, 3D, timelapses)

description: Datasets for testing: 1) Arabidopsis in 3D with membrane labelling for testing Unet, Stardist and denoising models. 2) Ascadian embryo in 3D imaged via light sheet for testing Unet and Stardist models. 3) Carcinoma cells 3D + time data imaged under low SNR conditions for testing Unet, Stardist and Denoising models. 4) Tissue in 2D + time for testing Unet models. Data imaged by Mari Tolonen at the University of Copenhagen. 5) Nuclei in 3D. Raw, GT and model prediction. Data imaged by Mari Tolonen at the University of Copenhagen. 6) Nuclei cell mask 2D. Raw, GT and model prediction. Data imaged by Mari Tolonen at the University of Copenhagen
description: Computational support provided by Jean Zay dynamic access grant: AD011013396 Monetary Support by Grant#: 2021-240715(5022) from Chan Zuckerberg Innitiative and Silicon Valley community foundation.
DOI: 10.5281/zenodo.6674133
title: Rambla Honda (Alicante, Spain) 3DPC TLS and SfM

description: 3D point clouds of a old limestones quarry in Rambla Honda, Alicante (Spain). It was scanned using a Leica C10 Scanstation and a RPAS to apply the SfM technique. The datasets were used for this work: https://www.sciencedirect.com/science/article/pii/S001379522200103X#! There are two files: 210205 Rambla Honda 2-8 Georreferenciado.las --&gt; TLS file 210205 Rambla Honda SfM.las --&gt; SfM file
DOI: 10.5281/zenodo.6674132
title: Rambla Honda (Alicante, Spain) 3DPC TLS and SfM

description: 3D point clouds of a old limestones quarry in Rambla Honda, Alicante (Spain). It was scanned using a Leica C10 Scanstation and a RPAS to apply the SfM technique. The datasets were used for this work: https://www.sciencedirect.com/science/article/pii/S001379522200103X#! There are two files: 210205 Rambla Honda 2-8 Georreferenciado.las --&gt; TLS file 210205 Rambla Honda SfM.las --&gt; SfM file