cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11295482
title: MECP2 EVS genetic variant data in RDF

description: MECP2 genetic variant data from EVS described using the Resource Description Framework (RDF) format following the HGVS standard.<br>This resource is FAIR and has been analyzed in combination with other MECP2 genetic variant data enabled by their interoperability.<br>The data was described in RDF following a genetic variant semantic data model (https://github.com/LUMC-BioSemantics/rett-variant) using a general-purpose FAIRifier tool (https://doi.org/10.1162/dint_a_00031) based on the OpenRefine data cleaning and wrangling tool (http://openrefine.org/).<br>The FAIR machine-readable metadata is available at:http://purl.org/biosemantics-lumc/rettbase/fdp<br>
DOI: 10.6084/m9.figshare.11295485
title: MECP2 ExAC genetic variant data in RDF

description: MECP2 genetic variant data from ClinVar described using the Resource Description Framework (RDF) format following the HGVS standard.<br>This resource is FAIR and has been analyzed in combination with other MECP2 genetic variant data enabled by their interoperability.<br>The data was described in RDF following a genetic variant semantic data model (https://github.com/LUMC-BioSemantics/rett-variant) using a general-purpose FAIRifier tool (https://doi.org/10.1162/dint_a_00031) based on the OpenRefine data cleaning and wrangling tool (http://openrefine.org/).<br>The FAIR machine-readable metadata is available at:http://purl.org/biosemantics-lumc/rettbase/fdp<br>
DOI: 10.6084/m9.figshare.11295512.v1
title: MECP2 KMD genetic variant data in RDF

description: MECP2 genetic variant data from ClinVar described using the Resource Description Framework (RDF) format following the HGVS standard.<br>This resource is FAIR and has been analyzed in combination with other MECP2 genetic variant data enabled by their interoperability.<br>The data was described in RDF following a genetic variant semantic data model (https://github.com/LUMC-BioSemantics/rett-variant) using a general-purpose FAIRifier tool (https://doi.org/10.1162/dint_a_00031) based on the OpenRefine data cleaning and wrangling tool (http://openrefine.org/).<br>The FAIR machine-readable metadata is available at:http://purl.org/biosemantics-lumc/rettbase/fdp<br>
DOI: 10.6084/m9.figshare.11295485.v1
title: MECP2 ExAC genetic variant data in RDF

description: MECP2 genetic variant data from ClinVar described using the Resource Description Framework (RDF) format following the HGVS standard.<br>This resource is FAIR and has been analyzed in combination with other MECP2 genetic variant data enabled by their interoperability.<br>The data was described in RDF following a genetic variant semantic data model (https://github.com/LUMC-BioSemantics/rett-variant) using a general-purpose FAIRifier tool (https://doi.org/10.1162/dint_a_00031) based on the OpenRefine data cleaning and wrangling tool (http://openrefine.org/).<br>The FAIR machine-readable metadata is available at:http://purl.org/biosemantics-lumc/rettbase/fdp<br>
DOI: 10.6084/m9.figshare.11295473
title: MECP2 EVA genetic variant data in RDF

description: MECP2 genetic variant data from EVA described using the Resource Description Framework (RDF) format following the HGVS standard.<br>This resource is FAIR and has been analyzed in combination with other MECP2 genetic variant data enabled by their interoperability.<br>The data was described in RDF following a genetic variant semantic data model (https://github.com/LUMC-BioSemantics/rett-variant) using a general-purpose FAIRifier tool (https://doi.org/10.1162/dint_a_00031) based on the OpenRefine data cleaning and wrangling tool (http://openrefine.org/).<br>The FAIR machine-readable metadata is available at:http://purl.org/biosemantics-lumc/rettbase/fdp<br>
DOI: 10.6084/m9.figshare.11295464
title: MECP2 DECIPHER genetic variant data in RDF

description: MECP2 genetic variant data from DECIPHER described using the Resource Description Framework (RDF) format following the HGVS standard.<br>This resource is FAIR and has been analyzed in combination with other MECP2 genetic variant data enabled by their interoperability.<br>The data was described in RDF following a genetic variant semantic data model (https://github.com/LUMC-BioSemantics/rett-variant) using a general-purpose FAIRifier tool (https://doi.org/10.1162/dint_a_00031) based on the OpenRefine data cleaning and wrangling tool (http://openrefine.org/).<br>The FAIR machine-readable metadata is available at:http://purl.org/biosemantics-lumc/rettbase/fdp<br>
DOI: 10.6084/m9.figshare.11295473.v1
title: MECP2 EVA genetic variant data in RDF

description: MECP2 genetic variant data from EVA described using the Resource Description Framework (RDF) format following the HGVS standard.<br>This resource is FAIR and has been analyzed in combination with other MECP2 genetic variant data enabled by their interoperability.<br>The data was described in RDF following a genetic variant semantic data model (https://github.com/LUMC-BioSemantics/rett-variant) using a general-purpose FAIRifier tool (https://doi.org/10.1162/dint_a_00031) based on the OpenRefine data cleaning and wrangling tool (http://openrefine.org/).<br>The FAIR machine-readable metadata is available at:http://purl.org/biosemantics-lumc/rettbase/fdp<br>
DOI: 10.6084/m9.figshare.11295464.v1
title: MECP2 DECIPHER genetic variant data in RDF

description: MECP2 genetic variant data from DECIPHER described using the Resource Description Framework (RDF) format following the HGVS standard.<br>This resource is FAIR and has been analyzed in combination with other MECP2 genetic variant data enabled by their interoperability.<br>The data was described in RDF following a genetic variant semantic data model (https://github.com/LUMC-BioSemantics/rett-variant) using a general-purpose FAIRifier tool (https://doi.org/10.1162/dint_a_00031) based on the OpenRefine data cleaning and wrangling tool (http://openrefine.org/).<br>The FAIR machine-readable metadata is available at:http://purl.org/biosemantics-lumc/rettbase/fdp<br>
DOI: 10.6084/m9.figshare.11295437
title: Pre and Post-Negotiation failures with Terrorist Organizations: A Comparative Case Study of Pakistan and Nigeria

description: For the Paper " Pre and Post-Negotiation failures with Terrorist Organizations: A Comparative Case Study of Pakistan and Nigeria"
DOI: 10.6084/m9.figshare.11295398
title: MECP2 ClinVar genetic variant data in RDF

description: MECP2 genetic variant data from ClinVar described using the Resource Description Framework (RDF) format following the HGVS standard.<br>This resource is FAIR and has been analyzed in combination with other MECP2 genetic variant data enabled by their interoperability.<br>The data was described in RDF following a genetic variant semantic data model (https://github.com/LUMC-BioSemantics/rett-variant) using a general-purpose FAIRifier tool (https://doi.org/10.1162/dint_a_00031) based on the OpenRefine data cleaning and wrangling tool (http://openrefine.org/).<br>The FAIR machine-readable metadata is available at:http://purl.org/biosemantics-lumc/rettbase/fdp
DOI: 10.6084/m9.figshare.11295437.v1
title: Pre and Post-Negotiation failures with Terrorist Organizations: A Comparative Case Study of Pakistan and Nigeria

description: For the Paper " Pre and Post-Negotiation failures with Terrorist Organizations: A Comparative Case Study of Pakistan and Nigeria"
DOI: 10.6084/m9.figshare.11295398.v2
title: MECP2 ClinVar genetic variant data in RDF

description: MECP2 genetic variant data from ClinVar described using the Resource Description Framework (RDF) format following the HGVS standard.<br>This resource is FAIR and has been analyzed in combination with other MECP2 genetic variant data enabled by their interoperability.<br>The data was described in RDF following a genetic variant semantic data model (https://github.com/LUMC-BioSemantics/rett-variant) using a general-purpose FAIRifier tool (https://doi.org/10.1162/dint_a_00031) based on the OpenRefine data cleaning and wrangling tool (http://openrefine.org/).<br>The FAIR machine-readable metadata is available at:http://purl.org/biosemantics-lumc/rettbase/fdp
DOI: 10.6084/m9.figshare.11295380
title: Evaluating type III polyketide synthase (PKS) and terpene synthase (TPS) expression in incompatible interactions of <i>Zingiber zerumbet</i> to <i>Pythium myriotylum</i> Drechsler

description: <i>Pythium</i> species are aggressive soil-borne necrotrophic oomycetes causing soft-rot disease of ginger. Disease severity indices determined following infection with <i>P</i>. <i>myriotylum</i> Drechsler in ginger cultivar, <i>Zingiber officinale</i> cv. Varada and a wild congener, <i>Z</i>. <i>zerumbet</i> at varying zoospore concentrations (10<sup>4</sup>–10<sup>12</sup> spores/ml) revealed high disease severity (100%) in ginger cultivar whereas <i>Z</i>. <i>zerumbet</i> displayed resistance. Absence of positive correlation between <i>Z</i>. <i>zerumbet</i> resistance and polyphenolic content indicates role of polyketides and zerumbone in preventing pathogen ingress, as reported earlier. Towards elucidating this, <i>Z</i>. <i>zerumbet</i> specific polyketide synthase (PKS) and terpene synthase (TPS) gene sequences designated <i>ZzTPS</i> and <i>ZzPKS</i> respectively were characterised. Phylogenetic analysis clustered <i>ZzTPS</i> with TPS-b sub-family and <i>ZzPKS</i> with non-chalcone forming PKS. <i>ZzTPS</i> and <i>ZzPKS</i> showed biphasic expression with first at 6 hours post infection (hpi) and then at 8 hpi, indicative of rapid induction followed by reinforcement to sustain resistance mechanisms in the wild taxon.
DOI: 10.6084/m9.figshare.11295380.v1
title: Evaluating type III polyketide synthase (PKS) and terpene synthase (TPS) expression in incompatible interactions of <i>Zingiber zerumbet</i> to <i>Pythium myriotylum</i> Drechsler

description: <i>Pythium</i> species are aggressive soil-borne necrotrophic oomycetes causing soft-rot disease of ginger. Disease severity indices determined following infection with <i>P</i>. <i>myriotylum</i> Drechsler in ginger cultivar, <i>Zingiber officinale</i> cv. Varada and a wild congener, <i>Z</i>. <i>zerumbet</i> at varying zoospore concentrations (10<sup>4</sup>–10<sup>12</sup> spores/ml) revealed high disease severity (100%) in ginger cultivar whereas <i>Z</i>. <i>zerumbet</i> displayed resistance. Absence of positive correlation between <i>Z</i>. <i>zerumbet</i> resistance and polyphenolic content indicates role of polyketides and zerumbone in preventing pathogen ingress, as reported earlier. Towards elucidating this, <i>Z</i>. <i>zerumbet</i> specific polyketide synthase (PKS) and terpene synthase (TPS) gene sequences designated <i>ZzTPS</i> and <i>ZzPKS</i> respectively were characterised. Phylogenetic analysis clustered <i>ZzTPS</i> with TPS-b sub-family and <i>ZzPKS</i> with non-chalcone forming PKS. <i>ZzTPS</i> and <i>ZzPKS</i> showed biphasic expression with first at 6 hours post infection (hpi) and then at 8 hpi, indicative of rapid induction followed by reinforcement to sustain resistance mechanisms in the wild taxon.
DOI: 10.6084/m9.figshare.11295383.v1
title: Free_DataJUDO.xlsx

description: Data includes Participants information: Age, Gender, Group, Experience, Hours<br>Scores in PMA verbal<br>All items and totals for:4 measures of spatial abilities (MRT, OPT, WLT, EFT)<br>6 measures of wayfinding inclinations (sub-scales)<br>Scores in navigation tasks2 measures of virtual reality navigation<br>
DOI: 10.6084/m9.figshare.11295290
title: Supp Table 1

description: Table showing the information on the subjects including HA PCOS, NA PCOS and normal subjects. The granusola cells from these subjects were collected and undergoing microarray analysis.
DOI: 10.6084/m9.figshare.11295293
title: Supp Table 2

description: Table showing the information of NCBI GEO datasets used in the machine learning analysis process.
DOI: 10.6084/m9.figshare.11295290.v1
title: Supp Table 1

description: Table showing the information on the subjects including HA PCOS, NA PCOS and normal subjects. The granusola cells from these subjects were collected and undergoing microarray analysis.
DOI: 10.6084/m9.figshare.11295293.v1
title: Supp Table 2

description: Table showing the information of NCBI GEO datasets used in the machine learning analysis process.
DOI: 10.6084/m9.figshare.11294993
title: Metadata record for: The GenTree Dendroecological Collection, tree-ring and wood density data from seven tree species across Europe

description: This dataset contains key characteristics about the data described in the Data Descriptor The GenTree Dendroecological Collection, tree-ring and wood density data from seven tree species across Europe. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br><br>Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.11294993.v2
title: Metadata record for: The GenTree Dendroecological Collection, tree-ring and wood density data from seven tree species across Europe

description: This dataset contains key characteristics about the data described in the Data Descriptor The GenTree Dendroecological Collection, tree-ring and wood density data from seven tree species across Europe. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br><br>Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.11294993.v1
title: Metadata record for: The GenTree Dendroecological Collection, tree-ring and wood density data from seven tree species across Europe

description: This dataset contains key characteristics about the data described in the Data Descriptor The GenTree Dendroecological Collection, tree-ring and wood density data from seven tree species across Europe. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.11294915
title: Metadata record for: A global database of historic and real-time flood events based on social media

description: This dataset contains key characteristics about the data described in the Data Descriptor A global database of historic and real-time flood events based on social media. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.25392/leicester.data.11294861
title: AMPERE R1/R2 FAC radii

description: Circle fits to the boundary between region 1 and 2 field-aligned currents measured by the Active Magnetosphere and Planetary Electrodynamics Response Experiment (AMPERE) in the northern and southern hemispheres, for the years 2010 to 2016.
DOI: 10.6084/m9.figshare.11294915.v2
title: Metadata record for: A global database of historic and real-time flood events based on social media

description: This dataset contains key characteristics about the data described in the Data Descriptor A global database of historic and real-time flood events based on social media. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.11294828
title: Example data for metabarcoding practical

description: FASTQ data from soil samples
DOI: 10.6084/m9.figshare.11294915.v1
title: Metadata record for: A global database of historic and real-time flood events based on social media

description: This dataset contains key characteristics about the data described in the Data Descriptor A global database of historic and real-time flood events based on social media. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.11294651
title: Evolution of Human-like H3 Swine Influenza in United States: Applications and Robustness of Phylodynamic Methods for Animal Disease Surveillance

description: HA and PB2 genes' alignment, BEAST xml and tree files
DOI: 10.6084/m9.figshare.11294600
title: texq_expert-ratings_raw.sav

description: TEST!<br>
DOI: 10.6084/m9.figshare.11294648
title: Untitled Item

description: SPSS-Datasheet of the raw Data of the expert-ratings informing the development of the TEX-Q questionnaire.
DOI: 10.6084/m9.figshare.11294579
title: A update of piper nigrum genome files

description: A update of piper nigrum genome files
DOI: 10.6084/m9.figshare.11294648.v1
title: Untitled Item

description: SPSS-Datasheet of the raw Data of the expert-ratings informing the development of the TEX-Q questionnaire.
DOI: 10.6084/m9.figshare.11294651.v1
title: Evolution of Human-like H3 Swine Influenza in United States: Applications and Robustness of Phylodynamic Methods for Animal Disease Surveillance

description: HA and PB2 genes' alignment, BEAST xml and tree files
DOI: 10.6084/m9.figshare.11294600.v1
title: texq_expert-ratings_raw.sav

description: TEST!<br>
DOI: 10.6084/m9.figshare.11294489
title: Anexo 4. Operacionalización de variables

description: CodeBook.
DOI: 10.6084/m9.figshare.11294492
title: Supplementary Material for: Isolated Right Ventricular Metastasis in a Woman with Advanced Hepatocellular Carcinoma after Palliative Therapy

description: Hepatocellular carcinoma (HCC) with cardiac metastasis represents a group of rarity and poor prognosis. Few case reports have described this patient entity, and it remains unclear regarding the optimal treatment and predicted outcome for these patients. In our case, we represented a 67-year-old female patient with presentations of dyspnea and heart murmur, which conducted to the diagnosis of advanced HCC with isolated right ventricular metastasis. Because of multiple comorbidities regarding cardiac and pulmonary systems, she received best supportive care and survived 2 months after initial diagnosis. A systemic literature review of 80 published cases (including our patient) since the 1950s was also performed from PubMed, and the data were gathered from the medical record and literature reviews. In our review, patients with advanced HCC and cardiac metastasis involved the right heart mainly with a predominance of right atrium (53%). Meanwhile the overall 3-month survival rate in our review was 70.7%. In subgroup analysis, the overall 3-month survival was highest (97%) in patients treated with surgery and other therapies, and lowest (27%) in patients with best supportive care. To our knowledge, this is the first comprehensive literature review addressing the epidemiology, optimal treatment, and prognosis for advanced-stage HCC with cardiac metastasis. We suggest that abnormal cardiac murmur in patients with history of HCC should prompt investigation for tumor involvement of the heart. We also emphasize individualized treatment as well as prognostic measurement accordingly.
DOI: 10.6084/m9.figshare.11294489.v1
title: Anexo 4. Operacionalización de variables

description: CodeBook.
DOI: 10.6084/m9.figshare.11294444
title: Supplementary Material for: Establishing a Differential Marker Profile for Pregnancy Complications Near Delivery

description: <b><i>Objective:</i></b> The aim of this work was to define a differential marker profile for pregnancy complications near delivery. <b><i>Methods:</i></b> We enrolled pregnant women who were referred to the outpatient pregnancy clinic of the University Medical Center, Ljubljana, Slovenia, due to symptoms of pregnancy complications and women with a history of pregnancy complications attending the high-risk hospital clinic for close surveillance. They were evaluated for prior risk and were tested for biophysical and biochemical markers at the time of enrolment. Biochemical markers included the pro- and anti-angiogenic markers, along with additional previously reported markers of potential value, all tested by various formats of immuno-diagnostics. Biophysical markers included blood pressure, sonographic markers, and EndoPAT. Statistical differences were determined with Kruskal-Wallis and Mann-Whitney tests for continuous parameters, and Pearson χ<sup>2</sup> for categorical values. <i>p</i> &lt; 0.05 was considered significant. <b><i>Results:</i></b> The cohort included 125 pregnant patients, 31 developed preeclampsia (PE) alone (13 were &lt;34 weeks’ gestation), 16 had intrauterine growth restriction (IUGR) alone (12 were &lt;34 weeks), 42 had both IUGR and PE (22 were &lt;34 weeks), and 15 had an iatrogenic preterm delivery (PTD; 6 were &lt;34 weeks). Twenty-one were unaffected and delivered a healthy baby at term. Mean arterial blood pressure and proteinuria were significantly higher in PE and PE+IUGR but not in pure IUGR or PTD. In PE, IUGR, and PE+IUGR, the levels of soluble fms-like tyrosine kinase 1 (sFlt-1) and soluble endoglin (sEng) were significantly higher, while placental growth factor (PlGF) was very low compared to unaffected controls and PTD. PE, IUGR, and PE+IUGR also had a high anti-angiogenic ratio (sFlt-1/PlGF) and a low proangiogenic ratio of PlGF/(sFlt-1+Eng). Levels of inhibin A were significantly higher in pure PE across subgroups but had many extreme values, which made it a poor differentiator. Higher uterine artery Doppler pulsatility indexes were detected in PE, IUGR, and PE+IUGR, with similar resistance indexes and peaks of systolic velocity. A significantly different marker level between PE and IUGR was found using arterial stiffness that was 10 times higher in PE; concurrently with an increase of the reactive hyperemia index, both were accompanied by a slight increase in placental protein 13. Higher tumor necrosis factor alpha (TNFα) differentially identified iatrogenic very early PTD (&lt;34 weeks). <b><i>Conclusion:</i></b> Arterial stiffness can serve as a major marker to differentiate PE (with/without IUGR) from pure IUGR near delivery. TNFα can differentiate iatrogenic early PTD from other complications of pregnancy and term IUGR.
DOI: 10.6084/m9.figshare.11294306
title: Supplementary Tables

description: Supplementary Tables for the article "The relationship between cigarette smoking and the tongue microbiome in an East Asian population" (http://dx.doi.org/10.1080/20002297.2020.1742527).