cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yhbzg5
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-118.3789433000000031 33.9269812000000002, -118.3789433000000031 33.9277730000000020, -118.3789433000000031 33.9283128699999992, -118.3789433000000031 33.9291046700000010, -118.3789433000000031 33.9298964700000028, -118.3789433000000031 33.9305803000000026, -118.3782573099999951 33.9305803000000026, -118.3773545300000052 33.9305803000000026, -118.3767045299999978 33.9305803000000026, -118.3758378699999980 33.9305803000000026, -118.3752961999999940 33.9305803000000026, -118.3747545399999979 33.9305803000000026, -118.3742491000000001 33.9305803000000026, -118.3742491000000001 33.9297885000000008, -118.3742491000000001 33.9289607099999984, -118.3742491000000001 33.9284208400000011, -118.3742491000000001 33.9278089900000026, -118.3742491000000001 33.9269812000000002, -118.3750795299999936 33.9269812000000002, -118.3755128699999943 33.9269812000000002, -118.3760906400000010 33.9269812000000002, -118.3769934200000051 33.9269812000000002, -118.3776434199999983 33.9269812000000002, -118.3785462000000024 33.9269812000000002, -118.3789433000000031 33.9269812000000002))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075522-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqs854
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Argemone hunnemannii Otto & A.Dietr."
 ]
}

 The dataset includes 116 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046388-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcztae
title: Occurrence Download

description: A dataset containing 5150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Commelina benghalensis L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5150 records from 299 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099604-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ct6t7h
title: Occurrence Download

description: A dataset containing 1254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salix alaxensis (Andersson) Coville",
 {
 "not" : {
 "Country" : [
 "is United States of America"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is unknown or invalid"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is United States"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is United States of America"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is Canada"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is Canada"
 ]
 }
 },
 {
 "not" : {
 "Continent" : [
 "is North America"
 ]
 }
 }
 ]
}

 The dataset includes 1254 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046369-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmjwbp
title: Occurrence Download

description: A dataset containing 510 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lyonsia californica Conrad, 1837"
 ]
}

 The dataset includes 510 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107062-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j37qpy
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Lonicera kansuensis (Batalin ex Rehder) Pojark."
 ]
}

 The dataset includes 40 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047151-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xu3b9t
title: Occurrence Download

description: A dataset containing 2076 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gibberulus gibberulus (Linnaeus, 1758)"
 ]
}

 The dataset includes 2076 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099595-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.efrecx
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Cinnamomum japonicum Siebold"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099613-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxsx5j
title: Occurrence Download

description: A dataset containing 22137 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global compendium of Aedes albopictus occurrence"
 ]
}

 The dataset includes 22137 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0100432-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25665255
title: Supplementary Table 5_Prediction Results_Manuscript.xlsx

description: Context: Pancreatic neuroendocrine tumors (PNETs) exhibit a wide range of behavior from localized disease to aggressive metastasis. A comprehensive transcriptomic profile capable of differentiating between these phenotypes remains elusive.<br>Objective: Use machine learning to develop predictive models of PNET metastatic potential dependent upon transcriptomic signature.<br>Methods: RNA-sequencing data were analyzed from 95 surgically-resected primary PNETs in an international cohort. Two cohorts were generated with equally balanced metastatic PNET composition. Machine learning was used to create predictive models distinguishing between localized and metastatic tumors. Models were validated on an independent cohort of 29 formalin-fixed, paraffin-embedded samples using NanoString nCounter®, a clinically-available mRNA quantification platform.<br><br>Results: Gene expression analysis identified concordant differentially expressed genes between the two cohorts. Gene set enrichment analysis identified additional genes that contributed to enriched biologic pathways in metastatic PNETs. Expression values for these genes were combined with an additional 7 genes known to contribute to PNET oncogenesis and prognosis, including ARX and PDX1. Eight specific genes (AURKA, CDCA8, CPB2, MYT1L, NDC80, PAPPA2, SFMBT1, ZPLD1) were identified as sufficient to classify the metastatic status with high sensitivity (87.5% - 93.8%) and specificity (78.1% - 96.9%). These models remained predictive of the metastatic phenotype using NanoString nCounter® on the independent validation cohort, achieving a median AUROC of 0.886.<br><br>Conclusions: We identified and validated an eight-gene panel predictive of the metastatic phenotype in PNETs, which can be detected using the clinically-available NanoString nCounter® system. This panel should be studied prospectively to determine its utility in guiding operative versus non-operative management.
DOI: 10.6084/m9.figshare.25665255.v1
title: Supplementary Table 5_Prediction Results_Manuscript.xlsx

description: Context: Pancreatic neuroendocrine tumors (PNETs) exhibit a wide range of behavior from localized disease to aggressive metastasis. A comprehensive transcriptomic profile capable of differentiating between these phenotypes remains elusive.<br>Objective: Use machine learning to develop predictive models of PNET metastatic potential dependent upon transcriptomic signature.<br>Methods: RNA-sequencing data were analyzed from 95 surgically-resected primary PNETs in an international cohort. Two cohorts were generated with equally balanced metastatic PNET composition. Machine learning was used to create predictive models distinguishing between localized and metastatic tumors. Models were validated on an independent cohort of 29 formalin-fixed, paraffin-embedded samples using NanoString nCounter®, a clinically-available mRNA quantification platform.<br><br>Results: Gene expression analysis identified concordant differentially expressed genes between the two cohorts. Gene set enrichment analysis identified additional genes that contributed to enriched biologic pathways in metastatic PNETs. Expression values for these genes were combined with an additional 7 genes known to contribute to PNET oncogenesis and prognosis, including ARX and PDX1. Eight specific genes (AURKA, CDCA8, CPB2, MYT1L, NDC80, PAPPA2, SFMBT1, ZPLD1) were identified as sufficient to classify the metastatic status with high sensitivity (87.5% - 93.8%) and specificity (78.1% - 96.9%). These models remained predictive of the metastatic phenotype using NanoString nCounter® on the independent validation cohort, achieving a median AUROC of 0.886.<br><br>Conclusions: We identified and validated an eight-gene panel predictive of the metastatic phenotype in PNETs, which can be detected using the clinically-available NanoString nCounter® system. This panel should be studied prospectively to determine its utility in guiding operative versus non-operative management.
DOI: 10.15468/dl.65qbtx
title: Occurrence Download

description: A dataset containing 794 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lyonsia arenosa (Møller, 1842)"
 ]
}

 The dataset includes 794 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107059-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gmk43u
title: Occurrence Download

description: A dataset containing 324 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Argemone grandiflora Sweet"
 ]
}

 The dataset includes 324 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046437-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8n7ry
title: Occurrence Download

description: A dataset containing 195362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sambucus racemosa L.",
 {
 "not" : {
 "Country" : [
 "is United States of America"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is unknown or invalid"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is United States"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is United States of America"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is Canada"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is Canada"
 ]
 }
 },
 {
 "not" : {
 "Continent" : [
 "is North America"
 ]
 }
 }
 ]
}

 The dataset includes 195362 records from 777 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046462-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242278
title: Kwara State University, Ilorin 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Kwara State University, Ilorin 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.48596/pgn.rfuh5p1-8.boulderco-ncar.p204s1
title: Pandora 204s1 sky H2CO surface number density, partial and tropospheric column amount at BoulderCO-NCAR; Processing Code: fuh5; Processor Version: 1-8
DOI: 10.48596/pgn.rnvh3p1-8.boulderco-ncar.p204s1
title: Pandora 204s1 sky NO2 surface number density, partial and tropospheric column amount at BoulderCO-NCAR; Processing Code: nvh3; Processor Version: 1-8
DOI: 10.5281/zenodo.18130889
title: dendrobates_leucomelas_spades_01.fasta.gz
DOI: 10.5281/zenodo.18130890
title: dendrobates_leucomelas_spades_01.fasta.gz
DOI: 10.17605/osf.io/av7se
title: ASW 2019 October 15

description: Distribution Statement A. Approved for public release: distribution is unlimited 

Raw CR2 imagery of the Sun in the anomalous refraction zone during ASW 2019 from the USCGC Healy by US Naval Observatory staff for studies of atmospheric refraction

See parent project for details
DOI: 10.3886/e242279
title: Ladoke Akintola University of Technology, Ogbomoso 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Ladoke Akintola University of Technology, Ogbomoso 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.5281/zenodo.18131254
title: Daten der Notaufnahmesurveillance

description: Der Datensatz "Daten der Notaufnahmesurveillance" wird durch das Robert Koch-Institut und das AKTIN-Notaufnahmeregister bei Krankenhausaufnahmen bereitgestellt. Der Datensatz beinhaltet aggregierte Routinedaten aus deutschen Notaufnahmen zur syndromischen Überwachung von akuten Erkrankungen. Dazu zählen grippeähnliche Erkrankungen (ILI), Coronavirus-Erkrankungen (COVID-19), akute respiratorische Erkrankungen (ARE), gastrointestinale Infektionen (GI) und schwere akute respiratorische Infektionen (SARI). Dabei wird der relative Anteil dieser Erkrankungen an der Gesamtzahl der Notaufnahmevorstellungen sowie die berechneten Erwartungswerte und Prädiktionsintervalle ausgewiesen. Die Daten sind nach Notaufnahmetypen und Altersgruppen aggregiert. Damit bietet der Datensatz eine wertvolle Ressource für die Forschung im Bereich der Notfallmedizin und der Überwachung akuter Gesundheitsereignisse in Deutschland.
DOI: 10.3886/e242280
title: Ondo State University of Science and Technology 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Ondo State University of Science and Technology 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.3886/e242281
title: River State University of Science and Technology 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: River State University of Science and Technology 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.5281/zenodo.17977100
title: ROSEMARY PhD. Raw data for biosynthesis and characterization of G36-derived silver nanoparticles and effects on postharvest rosemary extract.

description: These data correspond to characterization of differente nanopartiles coated with metabolites from the beneficial bacterium G36 and rosmarinus extract; and to characterization of rosmarinus extracts from plants treated with these silver nanoparticles. The majority of the data are in comma-separated values (.csv) format and plain excel (.xls) and portable document format (.pdf).

These work is compoused by two different experiments: silver nanoparticles synthesis and characterization; and the study of silver nanopartilces effect in postharvest rosemary plants. Rosmarinus ethanolic extracts (100% (v/v)) were obtained after silver nanoparticles aplication in rosemary postharvest steams.

All data information is available in "README" document.
DOI: 10.13140/rg.2.2.20226.34241
title: Supplementary Data Synthesis of Cu-doped V₂O₅ Thin Films with Improved Optical and CO₂ Gas Sensing
DOI: 10.3886/e242282
title: Olabisi Onabanjo University, Ago Iwoye 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Olabisi Onabanjo University, Ago Iwoye 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.15468/dl.28tqup
title: Occurrence Download

description: A dataset containing 328123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haliaeetus leucogaster",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 328123 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070965-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30987190
title: Clinical data for ICC patients underwent surgery in IST

description: This dataset contains anonymized clinical data from patients with intrahepatic cholangiocarcinoma (ICC) who underwent surgical resection at the Institute of Science Tokyo.The dataset was used for survival analyses in the associated manuscript entitled <i>“Perineural Invasion in Intrahepatic Cholangiocarcinoma: Prognostic Significance and Immunosuppressive Mechanisms”</i>.
DOI: 10.6084/m9.figshare.30987190.v1
title: Clinical data for ICC patients underwent surgery in IST

description: This dataset contains anonymized clinical data from patients with intrahepatic cholangiocarcinoma (ICC) who underwent surgical resection at the Institute of Science Tokyo.The dataset was used for survival analyses in the associated manuscript entitled <i>“Perineural Invasion in Intrahepatic Cholangiocarcinoma: Prognostic Significance and Immunosuppressive Mechanisms”</i>.
DOI: 10.6084/m9.figshare.30987220
title: VSR Data

description: <b>Vestibular Rehabilitation with PSSE for Adolescent Idiopathic Scoliosis</b>
DOI: 10.6084/m9.figshare.30987220.v1
title: VSR Data

description: <b>Vestibular Rehabilitation with PSSE for Adolescent Idiopathic Scoliosis</b>
DOI: 10.3886/e242283
title: Olabisi Onabanjo University 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Olabisi Onabanjo University 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.5281/zenodo.18047226
title: Supplementary Material for "stCAMBL: Biased Multi-view Contrastive Learning with Attentive Masking for Spatial Transcriptomic Analysis"
DOI: 10.5281/zenodo.18047227
title: Supplementary Material for "stCAMBL: Biased Multi-view Contrastive Learning with Attentive Masking for Spatial Transcriptomic Analysis"
DOI: 10.3886/e242285
title: Niger Delta University Yenagoa 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Niger Delta University Yenagoa 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.15468/dl.sj6b6u
title: Occurrence Download

description: A dataset containing 999150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "Country is Hong Kong",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.HKG",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2020-2026"
 ]
}

 The dataset includes 999150 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070974-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242286
title: Nasarawa State University Keffi 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Nasarawa State University Keffi 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.3886/e242287
title: Tai Solarin University of Education Ijebu Ode 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Tai Solarin University of Education Ijebu Ode 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.5281/zenodo.15639721
title: Dataset: Episodic and ongoing mechanisms drive plastid-derived nuclear DNA evolution in angiosperms

description: Genome structural annotation files in gff3 format. The nuclear genomes of 30 flowering/angiosperm plant species were surveyed, for which a unified reannotation of their non-structural gene space (i.e., transposable elements and RNA genes) was obtained.
DOI: 10.5281/zenodo.15639722
title: Dataset: Episodic and ongoing mechanisms drive plastid-derived nuclear DNA evolution in angiosperms

description: Genome structural annotation files in gff3 format. The nuclear genomes of 30 flowering/angiosperm plant species were surveyed, for which a unified reannotation of their non-structural gene space (i.e., transposable elements and RNA genes) was obtained.
DOI: 10.3886/e242288
title: Osun State University Osogbo 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Osun State University Osogbo 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.3886/e242289
title: araba State University, Jalingo 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: araba State University, Jalingo 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.5281/zenodo.17304460
title: Solid Carbon Dioxide under Multimegabar Pressures: Isentropic Magnetic Compression and Ab Initio Study of Equations of State

description: The dataset contains original data presented in figures. All necessary descriptions are included in the title of each spreadsheet.
DOI: 10.5281/zenodo.17304461
title: Solid Carbon Dioxide under Multimegabar Pressures: Isentropic Magnetic Compression and Ab Initio Study of Equations of State

description: The dataset contains original data presented in figures. All necessary descriptions are included in the title of each spreadsheet.