cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28219645
title: Identification of Notch Signaling Pathway Gene Mutations as a Prognostic Biomarker for Bladder Cancer

description: <b>Purpose:</b> The authors aimed to identify Notch signaling pathway gene mutations as a prognostic biomarker for bladder cancer. <b>Methods:</b> First, critical Notch signaling pathway genes were screened using The Cancer Genome Atlas and validation sets. Second, immune infiltration, protein–protein interaction network, Kyoto Encyclopedia of Genes and Genomes and Gene Set Enrichment Analysis analyses were performed. Finally, potential immunotherapy drug targets were screened using T-cell receptors, B-cell receptors and CERES scores for bladder cancer. <b>Results:</b> The <i>NOTCH7</i> gene was identified, with a significant difference in immune infiltration level between mutant and wild type in bladder cancer, mainly related to T cells. NOTCH7 was an immunotherapy prognostic factor, and IRF1 and B2M were the potential drug targets for <i>NOTCH7</i> mutation in bladder cancer. <b>Conclusion:</b><i>NOTCH7</i> gene mutation can be used as an immunotherapy biomarker for bladder cancer. Studies have shown that 43% of bladder cancer patients harbor somatic mutations in genes associated with the Notch signaling pathway. However, it is not clear whether these mutations impact the efficacy of immunotherapy in bladder cancer patients. In the present study, the authors aimed to elucidate whether Notch signaling pathway gene mutations are effective biomarkers for predicting immunotherapy response and prognosis in patients with bladder cancer. Results of the present study suggested that seven genes – <i>CNTN6</i>, <i>CREBBP</i>, <i>EP300</i>, <i>NCOR1</i>, <i>NCOR2</i>, <i>NOTCH2</i> and <i>SPEN</i> – involved in the Notch signaling pathway can be used to predict the response of patients to immunotherapy. In addition, IRF1 and B2M can act as combination drug targets with these seven genes.
DOI: 10.6084/m9.figshare.28219645.v1
title: Identification of Notch Signaling Pathway Gene Mutations as a Prognostic Biomarker for Bladder Cancer

description: <b>Purpose:</b> The authors aimed to identify Notch signaling pathway gene mutations as a prognostic biomarker for bladder cancer. <b>Methods:</b> First, critical Notch signaling pathway genes were screened using The Cancer Genome Atlas and validation sets. Second, immune infiltration, protein–protein interaction network, Kyoto Encyclopedia of Genes and Genomes and Gene Set Enrichment Analysis analyses were performed. Finally, potential immunotherapy drug targets were screened using T-cell receptors, B-cell receptors and CERES scores for bladder cancer. <b>Results:</b> The <i>NOTCH7</i> gene was identified, with a significant difference in immune infiltration level between mutant and wild type in bladder cancer, mainly related to T cells. NOTCH7 was an immunotherapy prognostic factor, and IRF1 and B2M were the potential drug targets for <i>NOTCH7</i> mutation in bladder cancer. <b>Conclusion:</b><i>NOTCH7</i> gene mutation can be used as an immunotherapy biomarker for bladder cancer. Studies have shown that 43% of bladder cancer patients harbor somatic mutations in genes associated with the Notch signaling pathway. However, it is not clear whether these mutations impact the efficacy of immunotherapy in bladder cancer patients. In the present study, the authors aimed to elucidate whether Notch signaling pathway gene mutations are effective biomarkers for predicting immunotherapy response and prognosis in patients with bladder cancer. Results of the present study suggested that seven genes – <i>CNTN6</i>, <i>CREBBP</i>, <i>EP300</i>, <i>NCOR1</i>, <i>NCOR2</i>, <i>NOTCH2</i> and <i>SPEN</i> – involved in the Notch signaling pathway can be used to predict the response of patients to immunotherapy. In addition, IRF1 and B2M can act as combination drug targets with these seven genes.
DOI: 10.6084/m9.figshare.28219642.v1
title: A Robust Ferroptosis-Related Gene Signature Predicts Overall Survival in Clear Cell Renal Cell Carcinoma

description: <b>Aims:</b> To investigate the prognostic values and potential mechanisms of ferroptosis-related genes in clear cell renal cell carcinoma. <b>Methods:</b> Univariate Cox, least absolute shrinkage and selection operator regression and multivariate Cox regression analyses were employed to identify prognosis-related hub ferroptosis-related genes and establish a prognostic model. <b>Results:</b> The authors established a novel clinical predictive model based on seven hub ferroptosis-related genes in The Cancer Genome Atlas training cohort (n = 374) that was verified in the testing cohort (n = 156) and the entire group (n = 530). Functional analysis indicated that several carcinogenic pathways were enriched. Tumor-infiltrating cells and immunosuppressive molecules were significantly different between the two risk groups. <b>Conclusion:</b> Collectively, the authors successfully constructed a novel ferroptosis-related risk signature that was significantly associated with the prognosis of clear cell renal cell carcinoma. The incidence of and mortality associated with clear cell renal cell carcinoma are increasing year by year. Herein the authors conducted a study to investigate the potential role of ferroptosis-related genes in clear cell renal cell carcinoma. The authors also built a ferroptosis-related gene model that could predict the prognosis and risk of clear cell renal cell carcinoma patients so as to facilitate individualized treatment of patients.
DOI: 10.6084/m9.figshare.28219648
title: Detection and Verification of Coexisting Diagnostic Markers in Plasma and Serum of Patients with Non-Small-Cell Lung Cancer

description: <b>Aim:</b> To screen and identify the potential biomarkers co-existing in plasma and serum of patients with non-small-cell lung cancer (NSCLC), and establish appropriate diagnostic models. <b>Methods:</b> A cohort of 195 plasma samples and 180 serum samples were obtained from healthy controls (HCs), adenocarcinoma (AdC) and squamous cell carcinoma (SqCC) patients enrolled from the First Affiliated Hospital of Nanjing Medical University. Metabolites in plasma and serum were analyzed by GC-MS. <b>Results:</b> Hypoxanthine was found to have good performance in the differential diagnosis of NSCLC (including AdC and SqCC) and HC (area under the receiver operating characteristic [AUROC] ≥0.85). Combinations of metabolites could be used for differential diagnosis of NSCLC and HC (AUROC &gt;0.93), AdC and HC (AUROC &gt;0.91), SqCC and HC (AUROC &gt;0.95), AdC and SqCC (AUROC &gt;0.72). <b>Conclusions:</b> Metabolomics based on GC-MS can screen and identify the differential metabolites coexisting in plasma and serum of patients with NSCLC, and prediction models established by this method can be used for the differential diagnosis of patients with NSCLC. Non-small-cell lung cancer (NSCLC) is not easy to diagnose. This study was intended to determine metabolites to differentiate NSCLC and healthy control samples (HC). In this study, we collected plasma and serum of NSCLC and HC. Then we performed a metabolomic analysis on these blood samples. The results showed that some metabolites were co-existing in plasma and serum of NSCLC. These co-existing metabolites (such as hypoxanthine, glyceric acid and aspartate) could differentiate NSCLC and HC.
DOI: 10.6084/m9.figshare.28219648.v1
title: Detection and Verification of Coexisting Diagnostic Markers in Plasma and Serum of Patients with Non-Small-Cell Lung Cancer

description: <b>Aim:</b> To screen and identify the potential biomarkers co-existing in plasma and serum of patients with non-small-cell lung cancer (NSCLC), and establish appropriate diagnostic models. <b>Methods:</b> A cohort of 195 plasma samples and 180 serum samples were obtained from healthy controls (HCs), adenocarcinoma (AdC) and squamous cell carcinoma (SqCC) patients enrolled from the First Affiliated Hospital of Nanjing Medical University. Metabolites in plasma and serum were analyzed by GC-MS. <b>Results:</b> Hypoxanthine was found to have good performance in the differential diagnosis of NSCLC (including AdC and SqCC) and HC (area under the receiver operating characteristic [AUROC] ≥0.85). Combinations of metabolites could be used for differential diagnosis of NSCLC and HC (AUROC &gt;0.93), AdC and HC (AUROC &gt;0.91), SqCC and HC (AUROC &gt;0.95), AdC and SqCC (AUROC &gt;0.72). <b>Conclusions:</b> Metabolomics based on GC-MS can screen and identify the differential metabolites coexisting in plasma and serum of patients with NSCLC, and prediction models established by this method can be used for the differential diagnosis of patients with NSCLC. Non-small-cell lung cancer (NSCLC) is not easy to diagnose. This study was intended to determine metabolites to differentiate NSCLC and healthy control samples (HC). In this study, we collected plasma and serum of NSCLC and HC. Then we performed a metabolomic analysis on these blood samples. The results showed that some metabolites were co-existing in plasma and serum of NSCLC. These co-existing metabolites (such as hypoxanthine, glyceric acid and aspartate) could differentiate NSCLC and HC.
DOI: 10.15468/dl.v983yt
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Impatiens ethiopica Grey-Wilson"
 ]
}

 The dataset includes 50 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072728-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.maa2jd
title: Occurrence Download

description: A dataset containing 714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Acacia saligna (Labill.) H.L.Wendl."
 ]
}

 The dataset includes 714 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072729-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17028/rd.lboro.28219616
title: Supplementary information for "Physical activity interventions for adults with hearing loss: a systematic review"

description: Supplementary files for article "Physical activity interventions for adults with hearing loss: a systematic review"Growing epidemiological evidence suggests that adults with hearing loss engage in less physical activity than those without, which may increase the risk of chronic health conditions. This review aimed to systematically evaluate existing evidence assessing the effectiveness of physical activity interventions in adults with hearing loss. The review also aimed to identify the behaviour change techniques used in the included studies. A systematic search of the literature was completed and reported in line with the Preferred Reporting Items for Systematic reviews and Meta-Analysis. Two studies met the eligibility criteria, both found overall improvements for physical function, namely, aerobic fitness and muscle strength in adults with hearing loss. Limited evidence was available for the impact on psychosocial wellbeing. The evidence was judged to be of low quality and subject to bias. Further theoretically driven, high-quality intervention studies that incorporate additional behaviour techniques (e.g., providing additional environmental cues) are necessary.<br><br>© The Authors, CC BY 4.0
DOI: 10.17028/rd.lboro.28219616.v1
title: Supplementary information for "Physical activity interventions for adults with hearing loss: a systematic review"

description: Supplementary files for article "Physical activity interventions for adults with hearing loss: a systematic review"Growing epidemiological evidence suggests that adults with hearing loss engage in less physical activity than those without, which may increase the risk of chronic health conditions. This review aimed to systematically evaluate existing evidence assessing the effectiveness of physical activity interventions in adults with hearing loss. The review also aimed to identify the behaviour change techniques used in the included studies. A systematic search of the literature was completed and reported in line with the Preferred Reporting Items for Systematic reviews and Meta-Analysis. Two studies met the eligibility criteria, both found overall improvements for physical function, namely, aerobic fitness and muscle strength in adults with hearing loss. Limited evidence was available for the impact on psychosocial wellbeing. The evidence was judged to be of low quality and subject to bias. Further theoretically driven, high-quality intervention studies that incorporate additional behaviour techniques (e.g., providing additional environmental cues) are necessary.<br><br>© The Authors, CC BY 4.0
DOI: 10.15468/dl.2k67cn
title: Occurrence Download

description: A dataset containing 2616 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Living Specimen)",
 "Continent is Europe",
 "Country is Spain",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vespa velutina Lepeletier, 1836",
 "Year 1903-2025"
 ]
}

 The dataset includes 2616 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072730-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18712/nsd-nsd1326-1-v1
title: From consensus to conflict and variety? On the increase in user-directed personal assistance - In depth interviews, 2002

description: User-controlled personal assistance (BPA) has since 1994 had trial status through state action plans for the disabled. The number of users has increased rapidly until today. 1 May 2000 a change in the Social Services Act came in effect, stating that BPA is an initiative local authorities are required to have among its services. Tensions and conflicts of interest related to BPA which has scarcely been expressed in the trial, is expected to get stronger upon scaling up the service. Tensions have only rarely been taken up in connection with legislating BPA and will be reflected in the implementation by the solutions of which are left to the municipalities. Tensions can in various ways be linked to issues of whether BPA should be a system where the user control is kept strictly upheld or whether to develop pragmatic solutions that can be customized to wider audiences and municipal organization and practice. Specifically, they will be expressed in relation to questions about the scope and composition of the BPA, how the target group is delimited, how BPA is organized and how the assistants are recruited and what kind of working conditions they are provided. The project will elucidate through surveys and interviews with users of BPA and municipalities implementing the scheme.
DOI: 10.15468/dl.eg27bt
title: Occurrence Download

description: A dataset containing 315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ukraine",
 "TaxonKey is Parmelia sulcata Taylor",
 "Year 2024-2025"
 ]
}

 The dataset includes 315 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072732-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/emqz9c
title: Module_plants_semences.xlsx

description: :unav
DOI: 10.57745/qdcxkc
title: Plants_semences.zip

description: :unav
DOI: 10.15468/dl.jugvpz
title: Occurrence Download

description: A dataset containing 12939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eichhornia crassipes (Mart.) Solms",
 "Year 1992-2022"
 ]
}

 The dataset includes 12939 records from 389 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072731-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8amvt
title: Occurrence Download

description: A dataset containing 72603 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hydrolagus colliei (Lay & Bennett, 1839)"
 ]
}

 The dataset includes 72603 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0217544-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f5ewuf
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chaetanthus tenellus (Nees) B.G.Briggs & L.A.S.Johnson"
 ]
}

 The dataset includes 186 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133789-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2b8q9f
title: Occurrence Download

description: A dataset containing 234 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chiroderma scopaeum Handley, 1966"
 ]
}

 The dataset includes 234 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0217549-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2vvvs
title: Occurrence Download

description: A dataset containing 464 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chaetanthus aristatus (R.Br.) B.G.Briggs & L.A.S.Johnson"
 ]
}

 The dataset includes 464 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133785-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t79rtz
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Symphyosirinia E.A.Ellis"
 ]
}

 The dataset includes 222 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0422036-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n22tm3
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nissolia acutifolia (Vogel) T.M.Moura & Fort.-Perez"
 ]
}

 The dataset includes 26 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133798-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnnssv
title: Occurrence Download

description: A dataset containing 327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (MSB Mammal Collection (Arctos), MSB Amphibian and Reptile Collection (Arctos), MSB Fish Collection (Arctos), Odonata Central, Vertebrate Zoology Division - Herpetology, Yale Peabody Museum, MSB Parasite Collection (Arctos), MSB Bird Collection (Arctos), eButterfly Surveys)",
 "OccurrenceStatus is Present",
 "PublishedByGbifRegion is North America",
 "StateProvince is NEW Mexico",
 "TaxonKey is Lithobates catesbeianus (Shaw, 1802)",
 "Year 2011-2024"
 ]
}

 The dataset includes 327 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015729-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hp5353
title: Occurrence Download

description: A dataset containing 11441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Duranta erecta L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11441 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013891-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwt9md
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chaetobromus involucratus (Schrad.) Nees"
 ]
}

 The dataset includes 209 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133797-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mb34zj
title: Occurrence Download

description: A dataset containing 5938 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dolichandra unguis-cati (L.) L.G.Lohmann",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5938 records from 270 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013890-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.usdg86
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133782-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/26fkz72d62.1
title: Chemical structure of drugs

description: .pdf files of the chemical structures of drugs
DOI: 10.17632/n53425shwp.1
title: Energy Forecast Dataset for Bangladesh (1975-2021)

description: The dataset consists data spanning from 1975 to 2021 with a forecast of energy consumption for Bangladesh up till 2050. The data is sourced from World Development Indicators, Our World in Data and IMF Data Repository.
DOI: 10.15468/dl.hteta2
title: Occurrence Download

description: A dataset containing 14079367 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is USGS PWRC - Bird Banding Lab - US State Centroid - 1960-2010"
 ]
}

 The dataset includes 14079367 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0218249-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hea2ar
title: Occurrence Download

description: A dataset containing 6232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Australia",
 "TaxonKey is Ixodida"
 ]
}

 The dataset includes 6232 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133813-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.