cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.w4sd7z
title: Occurrence Download

description: A dataset containing 1715449 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1715449 records from 339 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023031-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14930098
title: Publication Database for: A Review of Personalisation in Human-Robot Collaboration and Future Perspectives Towards Industry 5.0

description: Description:

This dataset provides the complete list of references used in preparation of the manuscript "A Review of Personalisation in Human-Robot Collaboration and Future Perspectives Towards Industry 5.0", accepted to the 2025 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). The analysis focusses on identifying key trends in personalised Human-Robot Collaboration in manufacturing settings inline with developments towards Industry 5.0. The literature search was conducted on 17th January 2025 for articles published from 2018 onwards.

Files Overview:

reference_list.bib: A bibtex file of all relevant works identified through the literatre search and screening process.

review_analysis.csv: CSV file containing the relevant works with classifications analysed in the associated paper. Classifications are according to research focus, personalisation factor(s), year, country.
DOI: 10.5281/zenodo.14930099
title: Publication Database for: A Review of Personalisation in Human-Robot Collaboration and Future Perspectives Towards Industry 5.0

description: Description:

This dataset provides the complete list of references used in preparation of the manuscript "A Review of Personalisation in Human-Robot Collaboration and Future Perspectives Towards Industry 5.0", accepted to the 2025 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). The analysis focusses on identifying key trends in personalised Human-Robot Collaboration in manufacturing settings inline with developments towards Industry 5.0. The literature search was conducted on 17th January 2025 for articles published from 2018 onwards.

Files Overview:

reference_list.bib: A bibtex file of all relevant works identified through the literatre search and screening process.

review_analysis.csv: CSV file containing the relevant works with classifications analysed in the associated paper. Classifications are according to research focus, personalisation factor(s), year, country.
DOI: 10.15468/dl.2ncykm
title: Occurrence Download

description: A dataset containing 2914 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coleoptera",
 "Geometry POLYGON ((32.064 -28.9416, 32.4847 -28.5786, 30.5701 -28.5786, 30.5701 -30.7329, 30.6252 -30.6659, 31.4179 -29.4257, 31.8178 -29.0299, 32.064 -28.9416))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 2914 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069512-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18112/openneuro.ds005555.v1.1.0
title: Bitbrain Open Access Sleep Dataset
DOI: 10.15468/dl.h7c3t3
title: Occurrence Download

description: A dataset containing 545972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((21.87116 47.4619,26.77944 47.4619,26.77944 50.62077,21.87116 50.62077,21.87116 47.4619))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 545972 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000027-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bec7j
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sebastes marmoratus Cuvier, 1829",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000049-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00004802.1
title: Available IPD datapackage for study 'A Randomized, Double-Blind, Placebo-Controlled, 3-Arm, Parallel-Group, Multicenter Study to Evaluate the Efficacy, Safety, and Tolerability of Canagliflozin in the Treatment of Subjects With Type 2 Diabetes Mellitus With Inadequate Glycemic Control on Metformin and Sulphonylurea Therapy'

description: The purpose of this study is to evaluate the efficacy and safety of 2 different doses of canagliflozin compared with placebo in patients with type 2 diabetes mellitus who are receiving treatment with metformin and sulphonylurea and have inadequate glycemic (blood sugar) control.
DOI: 10.15468/dl.hfsq3c
title: Occurrence Download

description: A dataset listing the 4546 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Chile",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset's 4546 records were derived from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000042-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.usbp2a
title: Occurrence Download

description: A dataset containing 1571 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Rhyacotriton variegatus Stebbins & Lowe, 1951)"
 ]
}

 The dataset includes 1571 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000050-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14865040
title: MOUD_demo

description: The dataset demo includes RGB images, labeled images, and point cloud data. The labeled images contain nine different target objects including scallops, starfish, conch, holly, seaweed, coral, reef, abalone, and barnacles. These data were collected from our underwater simulation scenarios. This dataset supports training and evaluation in underwater image enhancement, detection, segmentation and reconstruction.
DOI: 10.15468/dl.b2xnkw
title: Occurrence Download

description: A dataset containing 536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Portunus trituberculatus (Miers, 1876)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 536 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000051-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3mhq5s
title: Occurrence Download

description: A dataset containing 12378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Scaphiopus couchii Baird, 1854)"
 ]
}

 The dataset includes 12378 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000054-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tngf38
title: Occurrence Download

description: A dataset containing 4583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mazama gouazoubira G.Fischer",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4583 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000056-250213122211068/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.28103391
title: Deciphering the involvement of norepinephrine and β-adrenergic receptor subtypes in glucose induced insulin secretion: an integrated <i>in silico</i> and <i>in vitro</i> exploration using isolated pancreatic islets of C57BL/6J mice

description: Regulating insulin production by pancreatic beta cells is crucial for maintaining metabolic balance. Previous studies observed elevated neurotransmitter levels, like norepinephrine (NE), in metabolic syndrome mice with impaired insulin secretion. Given the therapeutic potential of β-adrenergic receptors (β-ARs) for diabetes and obesity, and the lack of structural data on murine β-ARs, we aimed to construct and validate 3D models to investigate their roles in insulin secretion regulation. We constructed high-quality 3D models for murine β1-AR, β2-AR, and β3-AR using Phyre2 and Ramachandran plot analysis. Molecular docking revealed NE’s strong binding affinity for all three β-AR subtypes through favorable docking scores and hydrogen bond formations. We evaluated the physiological impact of NE on glucose-induced insulin secretion <i>via</i> β-ARs under physiological and elevated glucose conditions using pancreatic islets from C57BL/6J mice. At physiological glucose levels, NE did not significantly increase insulin secretion. However, higher NE concentrations suppressed insulin release at elevated glucose. The β3-AR agonist CL316243 significantly increased (<i>p</i> &lt; 0.01), insulin secretion under normal and hyperglycemic conditions, while the β3-AR antagonist L748337 substantially decreased (<i>p</i> &lt; 0.01)insulin release under normal glucose, confirming their interactions through docking studies. The nonselective β-AR antagonist propranolol significantly decreased (<i>p</i> &lt; 0.01)insulin secretion, suggesting alternative interactions with β1-AR and β2-AR despite lacking hydrogen bonds. Our study enhances the understanding of NE’s role in modulating insulin secretion and underscores the significance of β-ARs, especially β3-AR, in its regulation, providing valuable insights for potential therapeutic interventions targeting these receptors in metabolic disorders.
DOI: 10.6084/m9.figshare.28103391.v1
title: Deciphering the involvement of norepinephrine and β-adrenergic receptor subtypes in glucose induced insulin secretion: an integrated <i>in silico</i> and <i>in vitro</i> exploration using isolated pancreatic islets of C57BL/6J mice

description: Regulating insulin production by pancreatic beta cells is crucial for maintaining metabolic balance. Previous studies observed elevated neurotransmitter levels, like norepinephrine (NE), in metabolic syndrome mice with impaired insulin secretion. Given the therapeutic potential of β-adrenergic receptors (β-ARs) for diabetes and obesity, and the lack of structural data on murine β-ARs, we aimed to construct and validate 3D models to investigate their roles in insulin secretion regulation. We constructed high-quality 3D models for murine β1-AR, β2-AR, and β3-AR using Phyre2 and Ramachandran plot analysis. Molecular docking revealed NE’s strong binding affinity for all three β-AR subtypes through favorable docking scores and hydrogen bond formations. We evaluated the physiological impact of NE on glucose-induced insulin secretion <i>via</i> β-ARs under physiological and elevated glucose conditions using pancreatic islets from C57BL/6J mice. At physiological glucose levels, NE did not significantly increase insulin secretion. However, higher NE concentrations suppressed insulin release at elevated glucose. The β3-AR agonist CL316243 significantly increased (<i>p</i> &lt; 0.01), insulin secretion under normal and hyperglycemic conditions, while the β3-AR antagonist L748337 substantially decreased (<i>p</i> &lt; 0.01)insulin release under normal glucose, confirming their interactions through docking studies. The nonselective β-AR antagonist propranolol significantly decreased (<i>p</i> &lt; 0.01)insulin secretion, suggesting alternative interactions with β1-AR and β2-AR despite lacking hydrogen bonds. Our study enhances the understanding of NE’s role in modulating insulin secretion and underscores the significance of β-ARs, especially β3-AR, in its regulation, providing valuable insights for potential therapeutic interventions targeting these receptors in metabolic disorders.
DOI: 10.15468/dl.2t9xwu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leucobacter triazinivorans",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000057-250213122211068/datasets/export for details.
DOI: 10.6084/m9.figshare.25038535
title: Novel integrated Omics based computational approach for drug repurposing for non-muscle invasive bladder cancer (NMIBC)

description: Non-muscle invasive bladder cancer (NMIBC) refers to a subtype of bladder carcinoma where cancer is localized in the inner lining of bladder. NMIBC consider as one of most costly malignancy and requires significant surgical and therapeutic measure. However, recurrence and progression of tumor is common in treated patients. Here we presented an integrated OMICs approach for the identification and inhibition of NMIBC specific genes. We utilized a case study where three group of patients were compared: 1) Relapsed tumors 2) recurrent tumors and 3) tumor in progression. Common transcriptome signature between patients facing recurrence and progression allowed us to identify three NMIBC specific genes FLT-1, WHSC-1 and CD34. We further utilized novel approach of Co-expressed gene-set enrichment analysis (COGENA) on the differentially expressed genes of this case study. Three drugs (paroxetine, adiphenine and H-89) with role of receptors inhibition were identified and predicted as repurposed drugs for the inhibition NMIBC specific genes. We further tested this hypothesis by performing molecular docking and simulation analysis between cancer specific proteins and drugs. FLT-1 have shown significant stable interaction with both drugs paroxetine and adiphenine whereas WHSC-1 have shown compact interaction with adiphenine and H-89. In the light of these evidence, we suggest that adiphenine could be repositioned as alternate targeted medicine for the treatment of NMIBC. In the future, this study will help for strengthening the strategies development at the molecular level for the control of carcinomas at early as well as detection of active and binding site, receptor-ligand interaction and also make drug repurposing for the early treatment of the carcinomas.
DOI: 10.6084/m9.figshare.25038535.v1
title: Novel integrated Omics based computational approach for drug repurposing for non-muscle invasive bladder cancer (NMIBC)

description: Non-muscle invasive bladder cancer (NMIBC) refers to a subtype of bladder carcinoma where cancer is localized in the inner lining of bladder. NMIBC consider as one of most costly malignancy and requires significant surgical and therapeutic measure. However, recurrence and progression of tumor is common in treated patients. Here we presented an integrated OMICs approach for the identification and inhibition of NMIBC specific genes. We utilized a case study where three group of patients were compared: 1) Relapsed tumors 2) recurrent tumors and 3) tumor in progression. Common transcriptome signature between patients facing recurrence and progression allowed us to identify three NMIBC specific genes FLT-1, WHSC-1 and CD34. We further utilized novel approach of Co-expressed gene-set enrichment analysis (COGENA) on the differentially expressed genes of this case study. Three drugs (paroxetine, adiphenine and H-89) with role of receptors inhibition were identified and predicted as repurposed drugs for the inhibition NMIBC specific genes. We further tested this hypothesis by performing molecular docking and simulation analysis between cancer specific proteins and drugs. FLT-1 have shown significant stable interaction with both drugs paroxetine and adiphenine whereas WHSC-1 have shown compact interaction with adiphenine and H-89. In the light of these evidence, we suggest that adiphenine could be repositioned as alternate targeted medicine for the treatment of NMIBC. In the future, this study will help for strengthening the strategies development at the molecular level for the control of carcinomas at early as well as detection of active and binding site, receptor-ligand interaction and also make drug repurposing for the early treatment of the carcinomas.
DOI: 10.6084/m9.figshare.25038538
title: Tanreqing suppresses the proliferation and migration of non-small cell lung cancer cells by mediating the inactivation of the HIF1α signaling pathway via exosomal circ-WDR78

description: Circular RNAs (circRNAs) have emerged as regulators of cancer progression, including non-small cell lung cancer (NSCLC). Tanreqing (TRQ), a traditional Chinese medicine, is used clinically for respiratory diseases. RT-qPCR quantified circ-WDR78 expression in NSCLC cells. Cell growth, apoptosis, invasion, and migration were assessed by functional assays. RNA-binding protein immunoprecipitation (RIP), luciferase reporter, and RNA pull-down assays determined the competing endogenous RNA (ceRNA) network of circ-WDR78. The interaction between HIF1α and CD274 (PD-L1) promoter was analyzed by chromatin immunoprecipitation (ChIP). Circ-WDR78 expression was up-regulated in TRQ-treated NSCLC cells. Functionally, circ-WDR78 exhibited anti-tumor effects in these cells. Additionally, circ-WDR78 could also induce reactive oxygen species (ROS) accumulation by down-regulating HIF1α expression, promoting autophagy. Mechanistically, circ-WDR78 destabilizes HIF1α <i>via</i> the miR-1265/FBXW8 axis. TRQ-induced exosome secretion from NSCLC cells inhibits PD-L1 expression, preventing immune escape. We found that TRQ-treated NSCLC cells secrete exosomes to transmit circ-WDR78 to untreated NSCLC cells, inhibiting the malignancy of recipient tumor cells. In conclusion, TRQ inhibits NSCLC cell proliferation, invasion, and migration through exosomal circ-WDR78-mediated inactivation of the HIF1α signaling pathway, providing potential insight into TRQ injection for NSCLC treatment.
DOI: 10.6084/m9.figshare.25038538.v1
title: Tanreqing suppresses the proliferation and migration of non-small cell lung cancer cells by mediating the inactivation of the HIF1α signaling pathway via exosomal circ-WDR78

description: Circular RNAs (circRNAs) have emerged as regulators of cancer progression, including non-small cell lung cancer (NSCLC). Tanreqing (TRQ), a traditional Chinese medicine, is used clinically for respiratory diseases. RT-qPCR quantified circ-WDR78 expression in NSCLC cells. Cell growth, apoptosis, invasion, and migration were assessed by functional assays. RNA-binding protein immunoprecipitation (RIP), luciferase reporter, and RNA pull-down assays determined the competing endogenous RNA (ceRNA) network of circ-WDR78. The interaction between HIF1α and CD274 (PD-L1) promoter was analyzed by chromatin immunoprecipitation (ChIP). Circ-WDR78 expression was up-regulated in TRQ-treated NSCLC cells. Functionally, circ-WDR78 exhibited anti-tumor effects in these cells. Additionally, circ-WDR78 could also induce reactive oxygen species (ROS) accumulation by down-regulating HIF1α expression, promoting autophagy. Mechanistically, circ-WDR78 destabilizes HIF1α <i>via</i> the miR-1265/FBXW8 axis. TRQ-induced exosome secretion from NSCLC cells inhibits PD-L1 expression, preventing immune escape. We found that TRQ-treated NSCLC cells secrete exosomes to transmit circ-WDR78 to untreated NSCLC cells, inhibiting the malignancy of recipient tumor cells. In conclusion, TRQ inhibits NSCLC cell proliferation, invasion, and migration through exosomal circ-WDR78-mediated inactivation of the HIF1α signaling pathway, providing potential insight into TRQ injection for NSCLC treatment.
DOI: 10.6084/m9.figshare.24864344
title: Machine learning and experimental screening of chromatin regulator signatures and potential drugs in hepatitis B related hepatocellular carcinoma

description: Many evidences have confirmed that chromatin regulator factors (CRs) are involved in the progression of cancer, but its potential mechanism of affecting hepatitis B related hepatocellular carcinoma still needs to be studied. Our study detected the CRs that affect hepatitis B related hepatocellular carcinoma (HBV-HCC) through machine learning analysis, conducted the analysis of immune cells, constructed the relevant risk model and immune function infiltration, and predicted the potential therapeutic drugs. We found that these CRs were significantly related to the immune cells of Macrophages, B cells, CD8<sup>+</sup>T cells, etc., and PBK, AURKA, TOP2A and AURKB were the potential risk CRs of HBV-HCC. The expression levels of these four CRs increased in HepG2.2.15 cells and the liver of HBV-HCC patients, consistent with the predicted risk model. Subsequently, ten potential drugs closely related to the risk CRs were finally obtained, experimental research on resveratrol has shown that it can inhibit the proliferation of HepG2.2.15 cells and potentially inhibit the occurrence and development of HBV-HCC. Our study provides novel insights into the function of CRs in HBV-HCC and certain ideas for more accurate targeted therapy.
DOI: 10.6084/m9.figshare.24864344.v1
title: Machine learning and experimental screening of chromatin regulator signatures and potential drugs in hepatitis B related hepatocellular carcinoma

description: Many evidences have confirmed that chromatin regulator factors (CRs) are involved in the progression of cancer, but its potential mechanism of affecting hepatitis B related hepatocellular carcinoma still needs to be studied. Our study detected the CRs that affect hepatitis B related hepatocellular carcinoma (HBV-HCC) through machine learning analysis, conducted the analysis of immune cells, constructed the relevant risk model and immune function infiltration, and predicted the potential therapeutic drugs. We found that these CRs were significantly related to the immune cells of Macrophages, B cells, CD8<sup>+</sup>T cells, etc., and PBK, AURKA, TOP2A and AURKB were the potential risk CRs of HBV-HCC. The expression levels of these four CRs increased in HepG2.2.15 cells and the liver of HBV-HCC patients, consistent with the predicted risk model. Subsequently, ten potential drugs closely related to the risk CRs were finally obtained, experimental research on resveratrol has shown that it can inhibit the proliferation of HepG2.2.15 cells and potentially inhibit the occurrence and development of HBV-HCC. Our study provides novel insights into the function of CRs in HBV-HCC and certain ideas for more accurate targeted therapy.