cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19213083.v1
title: Electrically tunable collective motion of dissipative solitons in chiral nematic films

description: The data includes jpg format figure, csv format tables, xlsx format tables, opj format tables (origin), etc. which are necessary to interpret, verify and extend the research in the article. The data is collected by processing movies through Image J which contains the information about the position of solitons. One can process the data through origin and/or MATLAB to verify or reproduce the figures in the manuscript.
DOI: 10.5281/zenodo.5551836
title: baccia/NeapolitanCanon_dataset: First release of NeapolitanCanon dataset

description: The dataset contained here is published also as a website on https://neapolitancanon.hkb.bfh.ch/ (DOI:10.26045/neapolitancanon). This release contains the transcriptions and identifications for the inventories of 1801, 1819 and 1823, and the transcription only of the inventory of 1827. It also contains the IIIF manifests for the images of the inventories of 1801 and 1819.
DOI: 10.5281/zenodo.5551835
title: baccia/NeapolitanCanon_dataset: First release of NeapolitanCanon dataset

description: The dataset contained here is published also as a website on https://neapolitancanon.hkb.bfh.ch/ (DOI:10.26045/neapolitancanon). This release contains the transcriptions and identifications for the inventories of 1801, 1819 and 1823, and the transcription only of the inventory of 1827. It also contains the IIIF manifests for the images of the inventories of 1801 and 1819.
DOI: 10.6084/m9.figshare.18680750
title: Supplementary Material for: Osilodrostat for Cushing disease and its role in pediatrics

description: BACKGROUND: Cushing disease is a very rare form of hypercortisolism caused by an adrenocorticotropic hormone-secreting pituitary adenoma. Clinical manifestations of Cushing disease can include central fat accumulation, arterial hypertension, glucose intolerance, skin atrophy with striae, and hypogonadism. Children are frequently diagnosed due to a growth stunt and excessive weight gain while classic cushingoid signs might be initially absent. Other children-specific presentations of Cushing disease are early or delayed puberty and hyperandrogenism in girls. SUMMARY: We present the main outcomes of clinical trials of osilodrostat (Isturisa®, Recordati) for Cushing disease, and its initial development as an aldosterone synthase inhibitor. Osilodrostat is indicated only when the surgical therapy of the pituitary adenoma is not an option or has not been curative; additionally, other steroidogenesis inhibitors were briefly summarized. Clinical trials of osilodrostat in children are lacking and we describe its potential role in the pediatric population. KEY MESSAGES: Osilodrostat is the first adrenal steroidogenesis inhibitor to be EMA- and FDA-approved (both in 2020) for the treatment of adults with Cushing syndrome/disease. Phase II and III clinical trials have shown its efficacy in normalizing 24-h urinary free cortisol and a good safety profile. Osilodrostat’s pharmacological properties and safety are currently being evaluated in a small phase II trial (NCT03708900) - the first trial in the pediatric population (&lt; 18 years) with an estimated completion date in the year 2023.
DOI: 10.6084/m9.figshare.18680750.v1
title: Supplementary Material for: Osilodrostat for Cushing disease and its role in pediatrics

description: BACKGROUND: Cushing disease is a very rare form of hypercortisolism caused by an adrenocorticotropic hormone-secreting pituitary adenoma. Clinical manifestations of Cushing disease can include central fat accumulation, arterial hypertension, glucose intolerance, skin atrophy with striae, and hypogonadism. Children are frequently diagnosed due to a growth stunt and excessive weight gain while classic cushingoid signs might be initially absent. Other children-specific presentations of Cushing disease are early or delayed puberty and hyperandrogenism in girls. SUMMARY: We present the main outcomes of clinical trials of osilodrostat (Isturisa®, Recordati) for Cushing disease, and its initial development as an aldosterone synthase inhibitor. Osilodrostat is indicated only when the surgical therapy of the pituitary adenoma is not an option or has not been curative; additionally, other steroidogenesis inhibitors were briefly summarized. Clinical trials of osilodrostat in children are lacking and we describe its potential role in the pediatric population. KEY MESSAGES: Osilodrostat is the first adrenal steroidogenesis inhibitor to be EMA- and FDA-approved (both in 2020) for the treatment of adults with Cushing syndrome/disease. Phase II and III clinical trials have shown its efficacy in normalizing 24-h urinary free cortisol and a good safety profile. Osilodrostat’s pharmacological properties and safety are currently being evaluated in a small phase II trial (NCT03708900) - the first trial in the pediatric population (&lt; 18 years) with an estimated completion date in the year 2023.
DOI: 10.48370/ofd/lgjhv5
title: Lulecznica kraińska (Scopolia carniolica Jacq.), 9333

description: Herbarium
DOI: 10.5519/qd.i9fa2j4p
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (283 records)
DOI: 10.5281/zenodo.6361579
title: Spintronic terahertz emitters exploiting uniaxial magnetic anisotropy for field-free emission and polarization control

description: Data for Figures 1-5
DOI: 10.5281/zenodo.6361578
title: Spintronic terahertz emitters exploiting uniaxial magnetic anisotropy for field-free emission and polarization control

description: Data for Figures 1-5
DOI: 10.5281/zenodo.6361745
title: Data from 89 fungicide trials on apple scab across Europe 2008-2018

description: The data set comprises records of disease incidence and yield from untreated and treated plots. <strong>Assessments</strong><br> The disease infection was expressed as the intensity of attack (=severity) and/or the frequency of attack. Two assessment methods were used: 1. Visual assessment:<br> • P%INF: intensity of attack was obtained as a visual estimation of the percentage of each plant part (leaves or fruits) affected by disease<br> • P%FREQ: frequency of attack was represented by the number of infected leaves or fruits. The frequency is expressed as a percentage of the number sampled. <br> 2. Class assessment<br> The level of the attack (intensity and frequency) was evaluated and calculated by classing plants into different severity categories ranging from no disease to severe attack.<br> • BEFHKT: frequency of disease attack expressed as a percentage, considering 4 damage classes<br> • BEFWER: intensity of attack expressed as a percentage, considering 4 damage classes. BEFHKT = 100*(cl2 + cl3 + cl4)/(cl1 + cl2 + cl3 + cl4)<br> BEFWER = 100*(cl2 + 2*cl3 + 3*cl4)/(3*N) (the Townsend-Heuberger intensity of attck) <strong>Table of measures</strong><br> Measure Description<br> P%FREQ Estimated frequency of attack %<br> P%INF Estimated severy of attack %<br> %ANTK1 Class 1 (%)<br> %ANTK2 Class 2 (%)<br> %ANTK3 Class 3 (%)<br> %ANTK4 Class 4 (%)<br> BEFHKT Frequency of attack<br> BEFWER Index of attack<br> INFECT Infection (F); Infestation (F)<br> KR%ABB Diseased (%)<br> WIRKGR Percent of untreated <strong>Data format and source</strong><br> The data is provided as both a tab-separated text file and a binary R data file. The R files provides code to read and plot the data. The plot produced is also provided as a PNG file. The field trials were conducted by BASF, Germany.
description: Supported by EU H2020-SFS-2018-2020 (grant agreement 817617).
DOI: 10.5281/zenodo.5888647
title: EMAKG: an enriched version of the Microsoft Academic Knowledge Graph

description: The <strong>Enhanced MAKG</strong> (<strong>EMAKG</strong>) provides an updated and enriched version of the Microsoft Academic Knowledge Graph (MAKG). The EMAKG is a large dataset of <strong>scientific publications</strong> and related entities such as <strong>authors</strong>, <strong>affiliations</strong>, <strong>venues</strong>, and <strong>fields of study</strong>. Data includes <strong>authors' careers and networks of collaborations</strong>, <strong>linguistics features</strong>, together with <strong>worldwide yearly authors' stocks and flows</strong>. The EMAKG data is mainly based on the MAKG - <strong>Version 2020-06-19 (March 25, 2021)</strong>. Methods: https://github.com/LauraPollacci/EMAKG <em>Version 0.0 (reduced version)</em><br> Version 0.0 provides a set of EMAKG subsets, some of which are in abridged form: 01.AffiliationsGeo: Affiliations subset.<br> 03.ConferenceInstances: Conferences subset.<br> 04.Conference Series: ConferenceSeries subset. <br> 05.Journals: Journals subset. <br> 06.24.PaperAuthorAffiliations_Disambiguated: Relationships between papers and disambiguated authors. <br> 09.PaperResources: URLs and resources of publications.<br> 10.Papers: Papers subset.<br> 12.EntityRelatedEntities: Connections between entities.<br> 13.FieldOfStudyChildren: Field of study kinship relations.<br> 14.FieldOfStudyExtendedAttributes: Fields of study co-references between different datasets.<br> 15.FieldsOfStudy: Fields of study subset.<br> 16.PaperFieldsOfStudy: Relationships between papers and fields of study.<br> 18.RelatedFieldOfStudy: Relationships between symptoms, medical treatments, disease causes and fields of study.<br> 19.PaperCitationContexts: Contexts of citations in CiTo.<br> 20.AbstractsProcessed_Chunk0-14: Chunk of processed abstracts.<br> 22.FieldOfStudyLabeled: Tags and scores of fields of studies.<br> 23.Authors_disambiguated: Disambiguated authors subset.<br> 24.PaperAuthorAffiliation_Disambiguated: Relationships between papers, disambiguated authors and affiliations.<br> 25.AuthorORCID: Authors' ORCIDs.<br> 26.AuthorCareer: Authors' yearly publications.<br> 27.AuthorYearLocation: Authors' yearly locations.<br> 28.AuthorEgoNetworks_2000-2014: Authors' ego networks from 2000 to 2014.<br> 29.CountryAnnualFlowsAggregated: Flows aggregated by country and year.<br> 30.FlowsAnnual: Annual country to country flows.<br> 31.StocksAnnual: Annual stocks aggregated by country.<br> 32.PaperFieldsOfStudyLabeled: Publications tagged with fields of studies.<br> 33.Authors_disambiguated_Hindex: H-index of disambiguated authors.
DOI: 10.5281/zenodo.5888646
title: EMAKG: an enriched version of the Microsoft Academic Knowledge Graph

description: The <strong>Enhanced MAKG</strong> (<strong>EMAKG</strong>) provides an updated and enriched version of the Microsoft Academic Knowledge Graph (MAKG). The EMAKG is a large dataset of <strong>scientific publications</strong> and related entities such as <strong>authors</strong>, <strong>affiliations</strong>, <strong>venues</strong>, and <strong>fields of study</strong>. Data includes <strong>authors' careers and networks of collaborations</strong>, <strong>linguistics features</strong>, together with <strong>worldwide yearly authors' stocks and flows</strong>. The EMAKG data is mainly based on the MAKG - <strong>Version 2020-06-19 (March 25, 2021)</strong>. Methods: https://github.com/LauraPollacci/EMAKG <em>Version 0.0 (reduced version)</em><br> Version 0.0 provides a set of EMAKG subsets, some of which are in abridged form: 01.AffiliationsGeo: Affiliations subset.<br> 03.ConferenceInstances: Conferences subset.<br> 04.Conference Series: ConferenceSeries subset. <br> 05.Journals: Journals subset. <br> 06.24.PaperAuthorAffiliations_Disambiguated: Relationships between papers and disambiguated authors. <br> 09.PaperResources: URLs and resources of publications.<br> 10.Papers: Papers subset.<br> 12.EntityRelatedEntities: Connections between entities.<br> 13.FieldOfStudyChildren: Field of study kinship relations.<br> 14.FieldOfStudyExtendedAttributes: Fields of study co-references between different datasets.<br> 15.FieldsOfStudy: Fields of study subset.<br> 16.PaperFieldsOfStudy: Relationships between papers and fields of study.<br> 18.RelatedFieldOfStudy: Relationships between symptoms, medical treatments, disease causes and fields of study.<br> 19.PaperCitationContexts: Contexts of citations in CiTo.<br> 20.AbstractsProcessed_Chunk0-14: Chunk of processed abstracts.<br> 22.FieldOfStudyLabeled: Tags and scores of fields of studies.<br> 23.Authors_disambiguated: Disambiguated authors subset.<br> 24.PaperAuthorAffiliation_Disambiguated: Relationships between papers, disambiguated authors and affiliations.<br> 25.AuthorORCID: Authors' ORCIDs.<br> 26.AuthorCareer: Authors' yearly publications.<br> 27.AuthorYearLocation: Authors' yearly locations.<br> 28.AuthorEgoNetworks_2000-2014: Authors' ego networks from 2000 to 2014.<br> 29.CountryAnnualFlowsAggregated: Flows aggregated by country and year.<br> 30.FlowsAnnual: Annual country to country flows.<br> 31.StocksAnnual: Annual stocks aggregated by country.<br> 32.PaperFieldsOfStudyLabeled: Publications tagged with fields of studies.<br> 33.Authors_disambiguated_Hindex: H-index of disambiguated authors.
DOI: 10.6084/m9.figshare.19367879
title: Supplementary Material for: Single-Cell RNA Sequencing Reveals Novel Genes Regulated by Hypoxia in

description: Pulmonary arterial hypertension (PAH) is a chronic progressive disease with significant morbidity and mortality. The disease is characterized by vascular remodeling that includes increased muscularization of distal blood vessels and vessel stiffening associated with changes in extracellular matrix deposition. In humans, chronic hypoxia causes PAH, and hypoxia-induced rodent models of PAH have been used for years to study the disease. With the development of single-cell RNA sequencing technology, it is now possible to examine hypoxia-dependent transcriptional changes in vivo at a cell-specific level. In this study, we used single-cell RNA sequencing to compare lungs from wild-type (Wt) mice exposed to hypoxia for 28 days to normoxia-treated control mice. We additionally examined mice deficient for <i>Notch3</i>, a smooth muscle-enriched gene linked to PAH. Data analysis revealed that hypoxia promoted cell number changes in immune and endothelial cell types in the lung, activated the innate immunity pathway, and resulted in specific changes in gene expression in vascular cells. Surprisingly, we found limited differences in lungs from mice deficient for <i>Notch3</i> compared to Wt controls. These findings provide novel insight into the effects of chronic hypoxia exposure on gene expression and cell phenotypes in vivo and identify unique changes to cells of the vasculature.
DOI: 10.5281/zenodo.6361763
title: Global Shipping Lanes

description: Global Shipping Lanes / Routes GIS Data
DOI: 10.6084/m9.figshare.19323386.v6
title: Dataset related to "Cascading Rupture of a Megathrust" submitted to Science Advance.

description: This dataset includes 5 files related to Cascading Rupture of a Megathrust (Elliott et. al 2022) submitted to Science Advance. They are:<br>Readme, this file records general information about this dataset.<br><br>2021_Chginik_FFM_slip_txt, this text file records our preferred slip model for 2021 M 8.2 Chginik earthquake. The slip point locates at the geometry center of every subfault.<br>2021_Chignik_fault_geometry, this file presents the subfault information we used in finite fault slip inversion for 2021 M8.2 Chignik earthquake. Every raw records four corner geographical coordinates of each rectangle subfault. <br>2020_Sandpoint_FFM_slip_txt, this text file records our slip model for 2020 M 7.6 Sand Point earthquake. The slip point locate at the geometry center of every subfault.<br>2020_Sandpoint_fault_geometry, this file presents the subfault information we used in finite fault slip inversion for 2020 M 7.6 Sand Point earthquake. Every raw records four corner geographical coordinates of each rectangle subfault. <br>
DOI: 10.6084/m9.figshare.19209132
title: parsed_chan_-00003-of-00017.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19209132.v1
title: parsed_chan_-00003-of-00017.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19209144
title: parsed_chan_-00005-of-00017.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19209144.v1
title: parsed_chan_-00005-of-00017.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19209168
title: parsed_chan_-00007-of-00017.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19209222.v1
title: parsed_chan_-00014-of-00017.json

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19209222
title: parsed_chan_-00014-of-00017.json

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19208766
title: parsed_redd_-00001-of-00005.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19209195.v1
title: parsed_chan_-00012-of-00017.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19209213
title: parsed_chan_-00001-of-00017.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19209213.v1
title: parsed_chan_-00001-of-00017.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19208766.v1
title: parsed_redd_-00001-of-00005.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19208769
title: parsed_redd_-00000-of-00005.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19208769.v1
title: parsed_redd_-00000-of-00005.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19208772
title: parsed_redd_-00003-of-00005.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19208772.v1
title: parsed_redd_-00003-of-00005.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19209168.v1
title: parsed_chan_-00007-of-00017.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19208607
title: parsed_redd_-00001-of-00005.json

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.<br>The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19208607.v1
title: parsed_redd_-00001-of-00005.json

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.<br>The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19208610
title: parsed_redd_-00002-of-00005.json

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19208616
title: parsed_redd_-00003-of-00005.json

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19208616.v1
title: parsed_redd_-00003-of-00005.json

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19209195
title: parsed_chan_-00012-of-00017.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.