cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.aupdaz
title: Occurrence Download

description: A dataset containing 2546 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Occurrence Data of Vascular Plants collected or compiled for the Flora of Bavaria",
 "TaxonKey is Pulmonaria officinalis L."
 ]
}

 The dataset includes 2546 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006679-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.csn7cj
title: Occurrence Download

description: A dataset containing 251819 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Phase 2 Lowland Grassland Survey of Wales"
 ]
}

 The dataset includes 251819 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009180-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4a3ejc
title: Occurrence Download

description: A dataset containing 46152 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Australian National Fish Collection (ANFC)"
 ]
}

 The dataset includes 46152 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024735-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qs2vb2
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Strigidae",
 "TypeStatus is Unspecified type"
 ]
}

 The dataset includes 123 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113853-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywoj9l
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Aves Argentinas / Asociación Ornitológica del Plata - Colección de registros observacionales de aves silvestres argentinas - Lista Narosky: familia Psittacidae"
 ]
}

 The dataset includes 167 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006680-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vmkvv6
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Comunidad de Herpetos Presentes en la Ciénaga de Montaño, Municipio del Carmen de Atrato"
 ]
}

 The dataset includes 24 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038369-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpatvd
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amygdalus mongolica (Maxim.) Ricker"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009182-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eudxcp
title: Occurrence Download

description: A dataset containing 30052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Buteo platypterus (Vieillot, 1823)"
 ]
}

 The dataset includes 30052 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024740-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4qjwe
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parajubaea torallyi (Mart.) Burret"
 ]
}

 The dataset includes 39 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113847-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qnr9ld
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Aves Argentinas / Asociación Ornitológica del Plata - Colección de registros observacionales de aves silvestres argentinas - Lista Narosky: géneros Saltator & Saltatricula"
 ]
}

 The dataset includes 78 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006681-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpxwg7
title: Occurrence Download

description: A dataset containing 1625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is Italy",
 "TaxonKey is Charadrius alexandrinus Linnaeus, 1758"
 ]
}

 The dataset includes 1625 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047259-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kuer9j
title: Occurrence Download

description: A dataset containing 33466 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myiopsitta monachus (Boddaert, 1783)"
 ]
}

 The dataset includes 33466 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006681-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d0t0ut
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is Collection Crustacea - ZMB"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000535-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d225ev
title: Occurrence Download

description: A dataset containing 112538 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Lepidopterists' Society Season Summary"
 ]
}

 The dataset includes 112538 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047269-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pff0s
title: Occurrence Download

description: A dataset containing 41573 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-125.859375 49.152969,-125.859375 30.448673,-104.765625 30.448673,-104.765625 49.152969,-125.859375 49.152969))",
 "DatasetKey is SDNHM Herpetology Collection"
 ]
}

 The dataset includes 41573 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006681-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fq99b8
title: Occurrence Download

description: A dataset containing 1948 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Alouatta seniculus (Linnaeus, 1766)"
 ]
}

 The dataset includes 1948 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009183-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.iw5wh5vy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (455021 records)
DOI: 10.5517/ccdc.csd.cc28hwwk
title: CCDC 2100649: Experimental Crystal Structure Determination

description: Related Article: Peiran Zhao, Yuqian Liu, Cheng He, Chunying Duan|2022|Inorg.Chem.|61|3132|doi:10.1021/acs.inorgchem.1c03412
DOI: 10.6084/m9.figshare.14776248
title: Dataset from "Rocks support a distinctive and consistent mycobiome across contrasting dry regions of Earth"

description: Data from "Rocks support a unique and consistent mycobiome across contrasting dry regions of Earth”. There are thirteen spreadsheets with data. All the methodological details can be found in the article. Sheet 1: it contains the raw data used in this paper and associated metadata. Sheet 2: description of all the variables and units of metadata. Sheet 3: taxonomic assignment at genus level. Sheet 4: fungal taxa shared between rocks and soils. Sheet 5: PERMANOVA results. Sheet 6 : multivariate homogeneity test results. Sheet 7: FungalTraits results. Sheet 8: Random Forest results on functional groups. Sheet 9: genera shared between rock. Sheet 10: “rock cluster” composition. Sheet 11: “rock cluster” abundance. Sheet 12: environmental modelling on fungal genera. Sheet 13: environmental modelling on functional groups.<br>
DOI: 10.6084/m9.figshare.14776248.v1
title: Dataset from "Rocks support a distinctive and consistent mycobiome across contrasting dry regions of Earth"

description: Data from "Rocks support a unique and consistent mycobiome across contrasting dry regions of Earth”. There are thirteen spreadsheets with data. All the methodological details can be found in the article. Sheet 1: it contains the raw data used in this paper and associated metadata. Sheet 2: description of all the variables and units of metadata. Sheet 3: taxonomic assignment at genus level. Sheet 4: fungal taxa shared between rocks and soils. Sheet 5: PERMANOVA results. Sheet 6 : multivariate homogeneity test results. Sheet 7: FungalTraits results. Sheet 8: Random Forest results on functional groups. Sheet 9: genera shared between rock. Sheet 10: “rock cluster” composition. Sheet 11: “rock cluster” abundance. Sheet 12: environmental modelling on fungal genera. Sheet 13: environmental modelling on functional groups.<br>
DOI: 10.5517/ccdc.csd.cc292mcd
title: CCDC 2117683: Experimental Crystal Structure Determination

description: Related Article: Joseph A. Zurakowski, Brady J. H. Austen, Kasey R. Brown, Marcus W. Drover|2022|Chem.Commun.|58|2500|doi:10.1039/D1CC07060F
DOI: 10.5517/ccdc.csd.cc292mdf
title: CCDC 2117684: Experimental Crystal Structure Determination

description: Related Article: Joseph A. Zurakowski, Brady J. H. Austen, Kasey R. Brown, Marcus W. Drover|2022|Chem.Commun.|58|2500|doi:10.1039/D1CC07060F
DOI: 10.5517/ccdc.csd.cc298z1m
title: CCDC 2123780: Experimental Crystal Structure Determination

description: Related Article: Jun Zhang, Junwei Wu, Xiaotong Chang, Peiqi Wang, Jiemin Xia, Jie Wu|2022|Org.Chem.Front.|9|917|doi:10.1039/D1QO01842F
DOI: 10.6084/m9.figshare.19243873.v1
title: Genetic Diversity of <i>Amylomyces rouxii</i> from <i>Ragi tapai</i> in Java Island Based on Ribosomal Regions ITS1/ITS2 and D1/D2

description: <i>Amylomyces rouxii</i> is commonly found as amylolytic fungi in <i>tapai</i> fermentation. However, its diversity is rarely reported despite being often used for food production in Southeast Asia. This research aims to analyze the genetic diversity and the distribution pattern of <i>A</i>. <i>rouxii</i> from <i>Ragi tapai</i> in Java Island, Indonesia. We isolated the fungus from samples obtained from <i>Ragi tapai</i> producing centers in Bandung, Sumedang, Muntilan, Blora, Yogyakarta, and Bondowoso. The obtained isolates were molecularly identified based on the ribosomal regions ITS1/ITS2 and D1/D2, then analyzed for phylogenetic tree reconstruction, genetic distance, genetic variation, and haplotype networking. Six isolates showed specific morphological traits of <i>A. rouxii</i>. However, phylogenetic tree reconstruction on the ribosomal genes showed that the isolates were grouped into two different clades related to two species. Clade A included BDG, SMD, and MTL isolates related to <i>A</i>. <i>rouxii,</i> whereas clade B included YOG, BLR, and BDS isolates related to <i>Mucor indicus.</i> The genetic distances between clades for ITS1/ITS2 and D1/D2 were 0.6145 and 0.1556, respectively. In conclusion, we confirmed the genetic diversity of molds from <i>Ragi tapai</i> in Java Island and showed that the isolates are not only related to <i>A. rouxii</i> as reported before.
DOI: 10.6084/m9.figshare.19243873
title: Genetic Diversity of <i>Amylomyces rouxii</i> from <i>Ragi tapai</i> in Java Island Based on Ribosomal Regions ITS1/ITS2 and D1/D2

description: <i>Amylomyces rouxii</i> is commonly found as amylolytic fungi in <i>tapai</i> fermentation. However, its diversity is rarely reported despite being often used for food production in Southeast Asia. This research aims to analyze the genetic diversity and the distribution pattern of <i>A</i>. <i>rouxii</i> from <i>Ragi tapai</i> in Java Island, Indonesia. We isolated the fungus from samples obtained from <i>Ragi tapai</i> producing centers in Bandung, Sumedang, Muntilan, Blora, Yogyakarta, and Bondowoso. The obtained isolates were molecularly identified based on the ribosomal regions ITS1/ITS2 and D1/D2, then analyzed for phylogenetic tree reconstruction, genetic distance, genetic variation, and haplotype networking. Six isolates showed specific morphological traits of <i>A. rouxii</i>. However, phylogenetic tree reconstruction on the ribosomal genes showed that the isolates were grouped into two different clades related to two species. Clade A included BDG, SMD, and MTL isolates related to <i>A</i>. <i>rouxii,</i> whereas clade B included YOG, BLR, and BDS isolates related to <i>Mucor indicus.</i> The genetic distances between clades for ITS1/ITS2 and D1/D2 were 0.6145 and 0.1556, respectively. In conclusion, we confirmed the genetic diversity of molds from <i>Ragi tapai</i> in Java Island and showed that the isolates are not only related to <i>A. rouxii</i> as reported before.
DOI: 10.6084/m9.figshare.19243869
title: Supplementary_Data_CommsBio.xlsx

description: Raw Data of the Experiment on Grandparental and Parental Diet Effects in Amblyseius Swirskii<br>
DOI: 10.6084/m9.figshare.19243869.v1
title: Supplementary_Data_CommsBio.xlsx

description: Raw Data of the Experiment on Grandparental and Parental Diet Effects in Amblyseius Swirskii<br>
DOI: 10.6084/m9.figshare.16627873.v3
title: Welsh road-river structures and river networks

description: Road-river structure locations, types (culvert, bridge, ford), and associated river segment gradient and Strahler stream order. Strahler stream order was calculated from a cleaned version of Ordnance Survey (OS) Open Rivers segments that we generated using Rivex 10.35. <br>The cleaned and modified shapefile of river networks that we produced from the OS Open Rivers is included as a separate data file to the road-river structure data. <br>The road-river structures and river networks are within Wales, United Kingdom and the X,Y coordinates in the .csv file are in the projected British National Grid.
DOI: 10.6084/m9.figshare.19242627.v1
title: Table S10 Widely-targeted metabolomic and lipidomic dataset used in the formal analysis.xlsx

description: <b>Background</b>Systemic immune inflammation is a key mediator in the progression coronary artery disease (CAD), concerning various metabolic and lipid changes. In this study, the relationship between the inflammatory index and metabolic profiling in patients with CAD was investigated to provide deep insights into metabolic disturbances related to inflammation.<b>Methods</b>Widely targeted plasma metabolomic and lipidomic profiling was performed in 1,234 patients with CAD. Laboratory circulating inflammatory markers were mainly used to define general systemic immune and low-grade inflammatory states. Multivariable-adjusted linear regression was adopted to assess the associations between 860 metabolites and 7 inflammatory markers. Least absolute shrinkage and selection operator (LASSO) logistic-based classifiers and multivariable logistic regression were applied to identify biomarkers of inflammatory states and develop models for discriminating an advanced inflammatory state.<b>Results</b>Multiple metabolites and lipid species were linearly associated with the seven inflammatory markers (<i>FDR</i>&lt;0.05). LASSO and multivariable-adjusted logistic regression analysis identified significant associations between 45 metabolites and systemic immune-inflammation index, 46 metabolites and neutrophil-lymphocyte ratio states, 32 metabolites and low-grade inflammation score, and 26 metabolites and high-sensitivity C-reactive protein states (<i>P</i>&lt;0.05). Glycerophospholipid metabolism and arginine and proline metabolism were determined as key altered metabolic pathways for systemic immune and low-grade inflammatory states. Predictive models based solely on metabolite combinations showed feasibility (AUC: 0.81 to 0.88) for discriminating the four parameters that represent inflammatory states and were successfully validated using a validation cohort. The inflammation-associated metabolite, namely, β-pseudouridine was related to carotid and coronary arteriosclerosis indicators (<i>P</i> &lt;0.05).<b>Conclusions</b>This study provides further information on the relationship between plasma metabolite profiles and inflammatory states represented by various inflammatory markers in CAD. These metabolic markers provide potential insights into pathological changes during CAD progression and may aid in the development of therapeutic targets.
DOI: 10.34740/kaggle/dsv/3234671
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.34740/kaggle/dsv/3234691
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.19242627
title: Table S10 Widely-targeted metabolomic and lipidomic dataset used in the formal analysis.xlsx

description: <b>Background</b>Systemic immune inflammation is a key mediator in the progression coronary artery disease (CAD), concerning various metabolic and lipid changes. In this study, the relationship between the inflammatory index and metabolic profiling in patients with CAD was investigated to provide deep insights into metabolic disturbances related to inflammation.<b>Methods</b>Widely targeted plasma metabolomic and lipidomic profiling was performed in 1,234 patients with CAD. Laboratory circulating inflammatory markers were mainly used to define general systemic immune and low-grade inflammatory states. Multivariable-adjusted linear regression was adopted to assess the associations between 860 metabolites and 7 inflammatory markers. Least absolute shrinkage and selection operator (LASSO) logistic-based classifiers and multivariable logistic regression were applied to identify biomarkers of inflammatory states and develop models for discriminating an advanced inflammatory state.<b>Results</b>Multiple metabolites and lipid species were linearly associated with the seven inflammatory markers (<i>FDR</i>&lt;0.05). LASSO and multivariable-adjusted logistic regression analysis identified significant associations between 45 metabolites and systemic immune-inflammation index, 46 metabolites and neutrophil-lymphocyte ratio states, 32 metabolites and low-grade inflammation score, and 26 metabolites and high-sensitivity C-reactive protein states (<i>P</i>&lt;0.05). Glycerophospholipid metabolism and arginine and proline metabolism were determined as key altered metabolic pathways for systemic immune and low-grade inflammatory states. Predictive models based solely on metabolite combinations showed feasibility (AUC: 0.81 to 0.88) for discriminating the four parameters that represent inflammatory states and were successfully validated using a validation cohort. The inflammation-associated metabolite, namely, β-pseudouridine was related to carotid and coronary arteriosclerosis indicators (<i>P</i> &lt;0.05).<b>Conclusions</b>This study provides further information on the relationship between plasma metabolite profiles and inflammatory states represented by various inflammatory markers in CAD. These metabolic markers provide potential insights into pathological changes during CAD progression and may aid in the development of therapeutic targets.
DOI: 10.6084/m9.figshare.19242627.v2
title: Table S10 Widely-targeted metabolomic and lipidomic dataset used in the formal analysis.xlsx

description: <b>Background</b>Systemic immune inflammation is a key mediator in the progression coronary artery disease (CAD), concerning various metabolic and lipid changes. In this study, the relationship between the inflammatory index and metabolic profiling in patients with CAD was investigated to provide deep insights into metabolic disturbances related to inflammation.<b>Methods</b>Widely targeted plasma metabolomic and lipidomic profiling was performed in 1,234 patients with CAD. Laboratory circulating inflammatory markers were mainly used to define general systemic immune and low-grade inflammatory states. Multivariable-adjusted linear regression was adopted to assess the associations between 860 metabolites and 7 inflammatory markers. Least absolute shrinkage and selection operator (LASSO) logistic-based classifiers and multivariable logistic regression were applied to identify biomarkers of inflammatory states and develop models for discriminating an advanced inflammatory state.<b>Results</b>Multiple metabolites and lipid species were linearly associated with the seven inflammatory markers (<i>FDR</i>&lt;0.05). LASSO and multivariable-adjusted logistic regression analysis identified significant associations between 45 metabolites and systemic immune-inflammation index, 46 metabolites and neutrophil-lymphocyte ratio states, 32 metabolites and low-grade inflammation score, and 26 metabolites and high-sensitivity C-reactive protein states (<i>P</i>&lt;0.05). Glycerophospholipid metabolism and arginine and proline metabolism were determined as key altered metabolic pathways for systemic immune and low-grade inflammatory states. Predictive models based solely on metabolite combinations showed feasibility (AUC: 0.81 to 0.88) for discriminating the four parameters that represent inflammatory states and were successfully validated using a validation cohort. The inflammation-associated metabolite, namely, β-pseudouridine was related to carotid and coronary arteriosclerosis indicators (<i>P</i> &lt;0.05).<b>Conclusions</b>This study provides further information on the relationship between plasma metabolite profiles and inflammatory states represented by various inflammatory markers in CAD. These metabolic markers provide potential insights into pathological changes during CAD progression and may aid in the development of therapeutic targets.