cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31006983
title: Neurotransmitter receptor-associated gene signature: prognostic and immunosuppressive microenvironment in NSCLC

description: This study sought to identify neurotransmitter receptor-related genes (NR-RGs) that are critically involved in non-small cell lung cancer (NSCLC) through bioinformatics approaches. The TCGA-NSCLC dataset was utilized as the training cohort, while the GSE50081 dataset served as the validation cohort. NR-RGs were curated, and single-sample gene set enrichment analysis (ssGSEA) scores were computed. Subsequently, weighted gene co-expression network analysis (WGCNA) and functional enrichment analyses were conducted. A risk prediction model and a prognostic model were constructed based on identified gene signatures. Finally, a competing endogenous RNA (ceRNA) network was established, and gene expression levels were experimentally validated. 192 differentially expressed genes were identified as candidate NR-RGs. The risk model ultimately highlighted six genes: CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2 as potential biomarkers. The prognostic model demonstrated robust predictive performance for patient outcomes. Immune infiltration analysis revealed a significant positive correlation between neutrophil abundance and the risk score. Expression analysis indicated that CPS1 and CALB2 were downregulated in NSCLC samples, whereas CDH17, NIPAL4, SOX2, and KREMEN2 were upregulated. The genes CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2 were identified as prognostic biomarkers in NSCLC, providing insights into their potential roles in disease progression and therapeutic targeting. The nervous system plays a crucial role in tumor progression. This study employed a series of bioinformatics methods to analyze the role of neurotransmitter receptor-associated genes (NR-RGs) in the treatment and prognosis of non-small cell lung cancer (NSCLC). Researchers downloaded multiple cohort datasets and employed a series of bioinformatics analyses to ultimately identify six genes: CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2, from a large gene pool as potential biomarkers. These genes may serve as prognostic biomarkers for NSCLC patients. Neurotransmitter receptors (NR) are vital in NSCLC progression and biologicalThe genes CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2 were identified as prognostic biomarkers in NSCLC.CPS1 and CALB2 are lowly expressed in NSCLCCDH17, NIPAL4, SOX2 and KREMEN2 are high expression in NSCLC Neurotransmitter receptors (NR) are vital in NSCLC progression and biological The genes CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2 were identified as prognostic biomarkers in NSCLC. CPS1 and CALB2 are lowly expressed in NSCLC CDH17, NIPAL4, SOX2 and KREMEN2 are high expression in NSCLC
DOI: 10.6084/m9.figshare.31006983.v1
title: Neurotransmitter receptor-associated gene signature: prognostic and immunosuppressive microenvironment in NSCLC

description: This study sought to identify neurotransmitter receptor-related genes (NR-RGs) that are critically involved in non-small cell lung cancer (NSCLC) through bioinformatics approaches. The TCGA-NSCLC dataset was utilized as the training cohort, while the GSE50081 dataset served as the validation cohort. NR-RGs were curated, and single-sample gene set enrichment analysis (ssGSEA) scores were computed. Subsequently, weighted gene co-expression network analysis (WGCNA) and functional enrichment analyses were conducted. A risk prediction model and a prognostic model were constructed based on identified gene signatures. Finally, a competing endogenous RNA (ceRNA) network was established, and gene expression levels were experimentally validated. 192 differentially expressed genes were identified as candidate NR-RGs. The risk model ultimately highlighted six genes: CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2 as potential biomarkers. The prognostic model demonstrated robust predictive performance for patient outcomes. Immune infiltration analysis revealed a significant positive correlation between neutrophil abundance and the risk score. Expression analysis indicated that CPS1 and CALB2 were downregulated in NSCLC samples, whereas CDH17, NIPAL4, SOX2, and KREMEN2 were upregulated. The genes CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2 were identified as prognostic biomarkers in NSCLC, providing insights into their potential roles in disease progression and therapeutic targeting. The nervous system plays a crucial role in tumor progression. This study employed a series of bioinformatics methods to analyze the role of neurotransmitter receptor-associated genes (NR-RGs) in the treatment and prognosis of non-small cell lung cancer (NSCLC). Researchers downloaded multiple cohort datasets and employed a series of bioinformatics analyses to ultimately identify six genes: CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2, from a large gene pool as potential biomarkers. These genes may serve as prognostic biomarkers for NSCLC patients. Neurotransmitter receptors (NR) are vital in NSCLC progression and biologicalThe genes CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2 were identified as prognostic biomarkers in NSCLC.CPS1 and CALB2 are lowly expressed in NSCLCCDH17, NIPAL4, SOX2 and KREMEN2 are high expression in NSCLC Neurotransmitter receptors (NR) are vital in NSCLC progression and biological The genes CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2 were identified as prognostic biomarkers in NSCLC. CPS1 and CALB2 are lowly expressed in NSCLC CDH17, NIPAL4, SOX2 and KREMEN2 are high expression in NSCLC
DOI: 10.13145/bacdive4702.20241212.9.2
title: Escherichia coli (Migula 1895) Castellani and Chalmers 1919

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4702.20251217.10
title: Escherichia coli (Migula 1895) Castellani and Chalmers 1919

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0072894.10fu
title: SH0072894.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive4703.20241212.9.2
title: Escherichia coli (Migula 1895) Castellani and Chalmers 1919

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4703.20251217.10
title: Escherichia coli (Migula 1895) Castellani and Chalmers 1919

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0072895.10fu
title: SH0072895.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive4704.20241212.9.2
title: Escherichia coli (Migula 1895) Castellani and Chalmers 1919

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0072896.10fu
title: SH0072896.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.uk4skm
title: Occurrence Download

description: A dataset containing 333 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphidius gifuensis Ashmead, 1906",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 333 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0322323-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-2227
title: Seiatel' istiny = The sower of truth, vol. 18, no. 4 (April 1933)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.8rkx4r
title: Occurrence Download

description: A dataset containing 423703 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poterium sanguisorba L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 423703 records from 1865 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002971-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ne52f5
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Paradiplosis tumifex Gagné, 1978)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 100 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009485-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jexfuy
title: Occurrence Download

description: A dataset containing 2751 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paracalanus denudatus Sewell, 1929"
 ]
}

 The dataset includes 2751 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009383-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14996179
title: Public space issues: annotated various attributes image dataset
DOI: 10.5281/zenodo.14996180
title: Public space issues: annotated various attributes image dataset
DOI: 10.15468/dl.s78y2z
title: Occurrence Download

description: A dataset containing 518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ptinus villiger (Reitter, 1884)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 518 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009486-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxwjsk
title: Occurrence Download

description: A dataset containing 2956 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is My naturesounds - nature observations with sound recordings"
 ]
}

 The dataset includes 2956 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009487-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/9mqx-vd10
title: A Dataset of Farmland Environmental Data, Insecticidal Information, and Equipment Status from Solar Insecticidal Lamps Internet of Things

description: Solar Insecticidal Lamps Internet of Things (SIL-IoTs) is an advanced agricultural IoT system integrating solar insecticidal lamps with wireless sensor networks. It attracts pests with light, then kills them with high-voltage metal grids. Equipped with wireless communication modules and environmental sensors, SIL-IoTs can collect and transmit field data, including pest counts (discharge pulse counts, insect-killing sound pulse counts), environmental data (air temperature, humidity, light intensity, equipment box temperature), and operational status. This dataset is highly valuable for research on energy management, pest counting of SIL-IoTs.
DOI: 10.15468/dl.pkjhdt
title: Occurrence Download

description: A dataset containing 1892 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Paratrechina fulva (Mayr, 1862))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1892 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009384-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10982238
title: Power, performance and system measures of HPC benchmarks on multiple hardware
DOI: 10.5281/zenodo.10982239
title: Power, performance and system measures of HPC benchmarks on multiple hardware
DOI: 10.5281/zenodo.14914799
title: Power, performance and system measures of HPC benchmarks on multiple hardware
DOI: 10.15468/dl.nmh8mu
title: Occurrence Download

description: A dataset containing 5085 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prosopis pallida (Humb. & Bonpl. ex Willd.) Kunth)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 5085 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009488-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxbnn7
title: Occurrence Download

description: A dataset containing 18648286 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 {
 "or" : [
 "Geometry POLYGON((-11.87539 33.22701,43.88733 33.22701,43.88733 71.64737,-11.87539 71.64737,-11.87539 33.22701))",
 "Geometry POLYGON((-11.2076 35.79799,32.91836 35.79799,32.91836 71.46725,-11.2076 71.46725,-11.2076 35.79799))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Acipenseriformes, Albuliformes, Amiiformes, Anguilliformes, Ateleopodiformes, Atheriniformes, Aulopiformes, Batrachoidiformes, Beloniformes, Beryciformes, Cetomimiformes, Characiformes, Clupeiformes, Cypriniformes, Cyprinodontiformes, Elopiformes, Esociformes, Gadiformes, Gasterosteiformes, Gobiesociformes, Gonorynchiformes, Gymnotiformes, Lampriformes, Lepisosteiformes, Lophiiformes, Mugiliformes, Myctophiformes, Notacanthiformes, Ophidiiformes, Osmeriformes, Osteoglossiformes, Perciformes, Percopsiformes, Pleuronectiformes, Polymixiiformes, Polypteriformes, Saccopharyngiformes, Salmoniformes, Scorpaeniformes, Siluriformes, Stephanoberyciformes, Stomiiformes, Synbranchiformes, Syngnathiformes, Tetraodontiformes, Zeiformes)"
 ]
}

 The dataset includes 18648286 records from 2164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009360-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmwgb2
title: Occurrence Download

description: A dataset containing 19975 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dalea candida candida, Dalea compacta compacta, Dalea gattingeri, Dalea lanata lanata, Dalea multiflora, Dalea phleoides microphylla, Dalea purpurea purpurea, Dalea villosa grisea, Danthonia sericea, Danthonia spicata, Dasistoma macrophyllum, Daucus pusillus, Decodon verticillatus, Decumaria barbara, Delphinium carolinianum carolinianum)",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 1e+05",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 19975 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058890-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8sd99
title: Occurrence Download

description: A dataset containing 668 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-101.73889 16.66626,-96.81702 16.66626,-96.81702 20.44556,-101.73889 20.44556,-101.73889 16.66626))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ceiba Mill."
 ]
}

 The dataset includes 668 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0106353-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3f7bqu
title: Occurrence Download

description: A dataset containing 2116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 9.36339928976325",
 "DecimalLongitude is less than 9.36645884294765",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2116 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009198-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xm8cbw
title: Occurrence Download

description: A dataset containing 2047 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Desmodus rotundus (E.Geoffroy, 1810)"
 ]
}

 The dataset includes 2047 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007935-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38g776
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myzus mumecola (Matsumura, 1917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042709-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fc6572
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Scinax castroviejoi De la Riva, 1993"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020753-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v5s9yq
title: Occurrence Download

description: A dataset containing 178047 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Phoenicopterus roseus Pallas, 1811"
 ]
}

 The dataset includes 178047 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092188-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hmxmm
title: Occurrence Download

description: A dataset containing 88666 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.72339 43.57178,-7.57233 39.9408,-0.86792 39.88037,-0.73608 43.43994,-7.72339 43.57178))",
 "HasCoordinate is true",
 "TaxonKey is Fungi",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 88666 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032041-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.htjg22
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asplenium austrobrasiliense (Christ) Maxon"
 ]
}

 The dataset includes 150 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101646-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3hzkh
title: Occurrence Download

description: A dataset containing 1403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aesculus flava Sol.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1403 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069371-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.