cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/3m0-krh-wn1
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hz2-3e2-vay
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4f1-xhj-v1v
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5yt-5jk-kq8
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/99e-9er-qgw
title: Mollusca

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cpg-3ee-enn
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j5l-vqc-qxb
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/78l-2eh-4s4
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7z9-rfd-qbt
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8qr-awe-dsr
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ahy-82l-63k
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h8f-235-abh
title: †Cyathoseris Milne Edwards & Haime, 1849

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hgv-z9d-4qv
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/adk-h94-en7
title: †Pleurotomaria Defrance, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mrw-6gz-4bh
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lqq-deg-449
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/393-apb-c02
title: †Phyllosmilia de Fromentel, 1862

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nn4-9p6-j6f
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4ve-26a-nb3
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lyx-k6l-aqm
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.25934/pr00011331.0
title: Available datapackage for study 'Phase II/III Parallel, Double-blind, Non-inferiority Study With Active Control, to Evaluate the Immunogenicity and Safety of a Booster Immunization Scheme With a Single Intramuscular Dose of the Recombinant Vaccine Against SARS-CoV-2'

description: This is a phase II/III parallel, double-blind, active-controlled, non-inferiority study to evaluate immunogenicity and safety of a booster immunization scheme of a single intramuscular dose of the recombinant vaccine against SARS-CoV-2 (AVX/COVID-12 vaccine) based on live recombinant Newcastle disease virus (rNDV) vector in healthy adults with a history of vaccination against COVID-19. The study is divided into two phases with immuno-bridging and 3000 healthy subjects showing evidence of prior immunity to SARS-CoV-2 are estimated to enrol. To verify non-inferiority in a determined number of subjects an intramuscular dose of the COVID-19 vaccine (ChAdOx-1-S\[recombinant\]) shall be used as active control in originally randomised subjects. The study shall be carried out in several sites of clinical research in Mexico.
DOI: 10.15468/dl.7nwfkb
title: Occurrence Download

description: A dataset containing 1596 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Lepidoptera)",
 "Country is one of (Colombia)",
 "Locality is one of (bogota, bogota [bogotá], bogota, colombia, bogotá, bogotá [no precise locality information available], bogota, monserrate, bogotá, chico, bogota; colombia; 28-3200 m, bogot, bogota, pueblo guasca, bogota, road to san juan, pnc sumapas, bogotá, distrito capital, colombia, bogotá, distrito capital, colombia, bogota colombia, bogota columbia, bogota district, bogota, camila`s place, bogota, chico, 2900 m, bogota, colombia; 28-3200m, bogota, colombia; vulkan irazu, costa rica, bogota; colombia)"
 ]
 }
 ]
}

 The dataset includes 1596 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011798-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.emts73
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asystasia gangetica",
 "Country is Fiji",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083081-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6khtae
title: Occurrence Download

description: A dataset containing 2233070938 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED, INVASIVE, NATURALISED)"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is one of (Taxon match higher rank)"
 ]
 }
 }
 ]
}

 The dataset includes 2233070938 records from 54932 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063947-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5k7q5y
title: Occurrence Download

description: A dataset listing the 150 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((107.644 -7.466,107.724 -7.466,107.724 -7.386,107.644 -7.386,107.644 -7.466))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 150 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019003-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.smehzv
title: Occurrence Download

description: A dataset containing 577909 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxalis acetosella L."
 ]
}

 The dataset includes 577909 records from 1526 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018995-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/sqnw-br57
title: "MY MSTAR"

description: "This dataset is for the paper \u201cFMOBA: Frequency-Domain Multi-Objective Black-Box Adversarial Attacks for SAR Image\u201d"
DOI: 10.15468/dl.8etyeh
title: Occurrence Download

description: A dataset containing 39067 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Diveboard - Scuba diving citizen science observations"
 ]
}

 The dataset includes 39067 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019012-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x5yym5
title: Occurrence Download

description: A dataset containing 209119 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Icterus gularis (Wagler, 1829)"
 ]
}

 The dataset includes 209119 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019005-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8scy7
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cephalorhynchus eutropia (Gray, 1846)"
 ]
}

 The dataset includes 136 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019014-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mntvq7
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crocothemis servilia",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010963-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtp7xu
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-8.21122 41.72693,-6.42844 41.74456,-6.43285 42.11478,-6.43946 42.39685,-8.20681 42.39905,-8.20902 42.1875,-8.21122 41.72693))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Martes martes (Linnaeus, 1758)"
 ]
}

 The dataset includes 63 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011036-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16792306
title: Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network

description: Here is the supplementary data for the manuscript "Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network" by Liao et al. The supplementary data includes input files for training and CG simulations, GNN-based CG lipid force fields, mapping script, and initial configuration files of simulations mentioned in the manuscript.

Usage: These input files are readily compatible with TorchMD-Net (https://github.com/torchmd/torchmd-net) and TorchMD (https://github.com/torchmd/torchmd), and the GNN-based force fields can be loaded into TorchMD-Net.  For more information on the input files, please refer to the respective GitHub repositories.
DOI: 10.15454/vqiibi
title: Technologies des semences

description: Ce vocabulaire trilingue français-anglais-allemand définit quelque 150 concepts spécifiques des technologies des semences. Il présente chaque concept accompagné de termes, de variantes, de définitions, de notes techniques et de contextes anglais et allemand. Il est distribué aux formats RDf-SKOS et CSV. Cette ressource issue de l'ouvrage publié par l'éditeur Quae (EAN 9782759204489) a été distribuée dans ce format numérique exploitable par les machines en 2007.
DOI: 10.5281/zenodo.15422582
title: Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network

description: Here is the supplementary data for the manuscript "Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network" by Liao et al. The supplementary data includes input files for training and CG simulations, GNN-based CG lipid force fields, mapping script, and initial configuration files of simulations mentioned in the manuscript.

Usage: These input files are readily compatible with TorchMD-Net (https://github.com/torchmd/torchmd-net) and TorchMD (https://github.com/torchmd/torchmd), and the GNN-based force fields can be loaded into TorchMD-Net.  For more information on the input files, please refer to the respective GitHub repositories.
DOI: 10.6084/m9.figshare.29880221
title: Supplementary Material for: Case Report: Elevated aminotransferases and altered hepatic perfusion due to retroperitoneal paraganglioma

description: Introduction: Hepatocellular injury is characterized by elevated levels of aspartate aminotransferase (AST) and alanine aminotransferase (ALT). In contrast, alkaline phosphatase levels are usually elevated in cholestatic diseases. Due to the multiples causes, it is crucial to define the etiology for proper management. The most common diagnoses are viral hepatitis, autoimmune hepatitis, Wilson's disease, Drug-Induced Liver Injury (DILI), acute alcoholic hepatitis, and ischemic hepatitis. Extrahepatic causes such as endocrine and cardiovascular conditions should also be considered. Case Presentation: A 46-year-old male presented with a two-month history of elevated transaminase levels that progressed to jaundice and dark urine (choluria) in the preceding 30 days. During the investigation, it was discovered that the hepatocellular injury was caused by hypoperfusion secondary to a retroperitoneal catecholamine-secreting sympathetic paraganglioma, in which the patient achieved a favorable outcome with complete preservation of liver function. Conclusions: This case highlights the importance of considering rare causes of hepatocellular injury.
DOI: 10.6084/m9.figshare.29880221.v1
title: Supplementary Material for: Case Report: Elevated aminotransferases and altered hepatic perfusion due to retroperitoneal paraganglioma

description: Introduction: Hepatocellular injury is characterized by elevated levels of aspartate aminotransferase (AST) and alanine aminotransferase (ALT). In contrast, alkaline phosphatase levels are usually elevated in cholestatic diseases. Due to the multiples causes, it is crucial to define the etiology for proper management. The most common diagnoses are viral hepatitis, autoimmune hepatitis, Wilson's disease, Drug-Induced Liver Injury (DILI), acute alcoholic hepatitis, and ischemic hepatitis. Extrahepatic causes such as endocrine and cardiovascular conditions should also be considered. Case Presentation: A 46-year-old male presented with a two-month history of elevated transaminase levels that progressed to jaundice and dark urine (choluria) in the preceding 30 days. During the investigation, it was discovered that the hepatocellular injury was caused by hypoperfusion secondary to a retroperitoneal catecholamine-secreting sympathetic paraganglioma, in which the patient achieved a favorable outcome with complete preservation of liver function. Conclusions: This case highlights the importance of considering rare causes of hepatocellular injury.
DOI: 10.6084/m9.figshare.29880224
title: Supplementary Material for: Performance of GALAD, GAAD, and ASAP for early HCC detection in chronic liver disease: A systematic review and meta-analysis

description: Background: Multi-biomarker panels have shown promise to improve hepatocellular carcinoma (HCC) surveillance in patients with chronic liver disease; however, we lack comparative data on their relative performance for early-stage HCC detection.
Methods: We conducted a systematic review of PubMed, Ovid MEDLINE and EMBASE databases from January 2010 to November 2024 to identify studies evaluating the performance of three commercially available blood-based biomarker panels (GALAD, GAAD, and ASAP) for HCC surveillance. Pooled estimates were calculated using the DerSimonian and Laird method for a random effects model. 
Results: Of 44 eligible studies (n=33,100 patients) examining HCC surveillance, 37 studies evaluated GALAD, 12 GAAD, and 11 ASAP. Pooled sensitivities of the biomarker panels for early-stage HCC ranged from 70.1% to 74.1%, with pooled specificities ranging from 83.3% to 87.2%. Among studies directly comparing biomarker panels, sensitivity for early-stage HCC did not significantly differ for GALAD versus GAAD (RR 0.96, 95%CI 0.80 – 1.15) or GALAD versus ASAP (RR 1.12, 95%CI 0.79 – 1.60). The pooled sensitivity of GALAD for early-stage HCC was higher than that of ultrasound among studies directly comparing the two (79.0% (95%CI 62.2 – 89.6) versus 73.3% (95%CI 45.4 – 90.1), respectively); however, this difference was not statistically significant (RR 1.09, 95%CI 0.78 – 1.51). Studies were limited by inclusion of patients with non-cirrhotic liver disease, varying biomarker cut-offs across studies, and high statistical heterogeneity (I2 &gt;50%) for pooled estimates. 
Conclusion: Multi-biomarker panels including GALAD, GAAD, and ASAP demonstrate promising performance for early-stage HCC detection, supporting their prospective validation for HCC surveillance.
DOI: 10.6084/m9.figshare.29880224.v1
title: Supplementary Material for: Performance of GALAD, GAAD, and ASAP for early HCC detection in chronic liver disease: A systematic review and meta-analysis

description: Background: Multi-biomarker panels have shown promise to improve hepatocellular carcinoma (HCC) surveillance in patients with chronic liver disease; however, we lack comparative data on their relative performance for early-stage HCC detection.
Methods: We conducted a systematic review of PubMed, Ovid MEDLINE and EMBASE databases from January 2010 to November 2024 to identify studies evaluating the performance of three commercially available blood-based biomarker panels (GALAD, GAAD, and ASAP) for HCC surveillance. Pooled estimates were calculated using the DerSimonian and Laird method for a random effects model. 
Results: Of 44 eligible studies (n=33,100 patients) examining HCC surveillance, 37 studies evaluated GALAD, 12 GAAD, and 11 ASAP. Pooled sensitivities of the biomarker panels for early-stage HCC ranged from 70.1% to 74.1%, with pooled specificities ranging from 83.3% to 87.2%. Among studies directly comparing biomarker panels, sensitivity for early-stage HCC did not significantly differ for GALAD versus GAAD (RR 0.96, 95%CI 0.80 – 1.15) or GALAD versus ASAP (RR 1.12, 95%CI 0.79 – 1.60). The pooled sensitivity of GALAD for early-stage HCC was higher than that of ultrasound among studies directly comparing the two (79.0% (95%CI 62.2 – 89.6) versus 73.3% (95%CI 45.4 – 90.1), respectively); however, this difference was not statistically significant (RR 1.09, 95%CI 0.78 – 1.51). Studies were limited by inclusion of patients with non-cirrhotic liver disease, varying biomarker cut-offs across studies, and high statistical heterogeneity (I2 &gt;50%) for pooled estimates. 
Conclusion: Multi-biomarker panels including GALAD, GAAD, and ASAP demonstrate promising performance for early-stage HCC detection, supporting their prospective validation for HCC surveillance.
DOI: 10.6084/m9.figshare.29880227
title: Supplementary Material for: Identification of Hypoxia-related genes in Human Myocardial infarction and Cancers

description: Abstract
Background:
Myocardial infarction (MI) and cancer collectively account for over 50% of global mortality. Recent studies have revealed multiple associations between these two diseases, including chronic inflammation and oxidative stress, with a particular focus on hypoxia-mediated signaling pathways. In ischemic myocardium, oxygen deprivation triggers apoptosis, fibrosis, and pathological tissue reorganization, in the tumor microenvironment (TME), hypoxia drives angiogenesis, metabolic reprogramming, and immune evasion. Therefore, identifying hypoxia-related differentially expressed genes in MI may provide potential therapeutic targets for both conditions.
 
Methods:
Sequencing data from MI patients were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified using the “limma” package in R.Weighted gene co-expression network analysis (WGCNA) was then employed to screen for a set of potential hub genes associated with hypoxia. Functional enrichment analysis was performed on these hub genes. The expression levels and stability of the hub genes were subsequently validated in a new dataset. Finally, transcriptional regulatory analysis and immune infiltration analysis were conducted for the hub genes, and their expression levels and prognostic values in various cancers were evaluated.
 
Results:
In MI samples, nine genes, namely Immediate Early Response 3 (IER3), Heme Oxygenase 1 (HMOX1), Cyclin Dependent Kinase Inhibitor 1A (CDKN1A), Plasminogen Activator Urokinase Receptor (PLAUR), MAF BZIP Transcription Factor F (MAFF), Solute Carrier Family 2 Member 3 (SLC2A3), Jun Proto-Oncogene (JUN), Transforming Growth Factor Beta Induced (TGFBI), and 6-Phosphofructo-2-Kinase/Fructose-2,6-Biphosphatase 3 (PFKFB3), were found to be significantly dysregulated and were closely associated with the occurrence of various cancers. Pan-cancer analysis further revealed that these genes are correlated with cancer prognosis. Immune analysis also observed their associations with resting CD4+ memory T cells and Gamma Delta T cells in TME.
 
Conclusions:
IER3, HMOX1, CDKN1A, PLAUR, MAFF, SLC2A3, JUN, TGFBI, and PFKFB3 are potential biomarkers for MI and cancer. Research on hypoxia-related genes (HRGs) may provide new therapeutic targets for these two diseases.