cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25116046.v1
title: Additional file 1 of Clinically relevant sequence types of carbapenemase-producing Escherichia coli and Klebsiella pneumoniae detected in Finnish wastewater in 2021–2022

description: Additional file 1. Accession numbers for a study deposited in the European Nucleotide Archive (ENA) at EMBL-EBI under accession number PRJEB64775 ( https://www.ebi.ac.uk/ena/browser/view/PRJEB64775 ) and sequencing statistics for whole genome sequenced isolates of Escherichia coli (n = 26) and Klebsiella pneumoniae (n = 25) from 10 wastewater treatment plants across Finland in 2021–2022.
DOI: 10.6084/m9.figshare.25116046
title: Additional file 1 of Clinically relevant sequence types of carbapenemase-producing Escherichia coli and Klebsiella pneumoniae detected in Finnish wastewater in 2021–2022

description: Additional file 1. Accession numbers for a study deposited in the European Nucleotide Archive (ENA) at EMBL-EBI under accession number PRJEB64775 ( https://www.ebi.ac.uk/ena/browser/view/PRJEB64775 ) and sequencing statistics for whole genome sequenced isolates of Escherichia coli (n = 26) and Klebsiella pneumoniae (n = 25) from 10 wastewater treatment plants across Finland in 2021–2022.
DOI: 10.6084/m9.figshare.25116235
title: Additional file 2 of Clinically relevant sequence types of carbapenemase-producing Escherichia coli and Klebsiella pneumoniae detected in Finnish wastewater in 2021–2022

description: Additional file 2. Additional bacterial species (n = 52) isolated from community wastewater influent samples using ChromAgar mSuperCARBA. Bacterial species were identified using MALDI-TOF MS.
DOI: 10.6084/m9.figshare.25116235.v1
title: Additional file 2 of Clinically relevant sequence types of carbapenemase-producing Escherichia coli and Klebsiella pneumoniae detected in Finnish wastewater in 2021–2022

description: Additional file 2. Additional bacterial species (n = 52) isolated from community wastewater influent samples using ChromAgar mSuperCARBA. Bacterial species were identified using MALDI-TOF MS.
DOI: 10.6084/m9.figshare.25116188
title: Additional file 2 of CRISPR/Cas9 mediated Y-chromosome elimination affects human cells transcriptome

description: Additional file 2. Bioinformatic analyses of RNA-seq data.
DOI: 10.6084/m9.figshare.25116188.v1
title: Additional file 2 of CRISPR/Cas9 mediated Y-chromosome elimination affects human cells transcriptome

description: Additional file 2. Bioinformatic analyses of RNA-seq data.
DOI: 10.6084/m9.figshare.25116240
title: Additional file 2 of Systematic analysis of the role of LDHs subtype in pan-cancer demonstrates the importance of LDHD in the prognosis of hepatocellular carcinoma patients

description: Additional file 2: Table S1. Prognostic risk of LDH in pan-cancer analysed by Cox regression. Different coloured lines represent risk values for different genes in the tumour. Risk ratios &lt;1 indicate low risk and risk ratios &gt;1 indicate high risk.
DOI: 10.6084/m9.figshare.25116240.v1
title: Additional file 2 of Systematic analysis of the role of LDHs subtype in pan-cancer demonstrates the importance of LDHD in the prognosis of hepatocellular carcinoma patients

description: Additional file 2: Table S1. Prognostic risk of LDH in pan-cancer analysed by Cox regression. Different coloured lines represent risk values for different genes in the tumour. Risk ratios &lt;1 indicate low risk and risk ratios &gt;1 indicate high risk.
DOI: 10.6084/m9.figshare.26674916
title: Additional file 3 of Systematic analysis of the role of LDHs subtype in pan-cancer demonstrates the importance of LDHD in the prognosis of hepatocellular carcinoma patients

description: Additional file 3: Table S2. TCGA liver cancer patient characteristics.
DOI: 10.6084/m9.figshare.26674916.v1
title: Additional file 3 of Systematic analysis of the role of LDHs subtype in pan-cancer demonstrates the importance of LDHD in the prognosis of hepatocellular carcinoma patients

description: Additional file 3: Table S2. TCGA liver cancer patient characteristics.
DOI: 10.6084/m9.figshare.26674919
title: Additional file 4 of Systematic analysis of the role of LDHs subtype in pan-cancer demonstrates the importance of LDHD in the prognosis of hepatocellular carcinoma patients

description: Additional file 4: Table S3. LDHD expression correlated with clinical pathological characteristics (logistic regression).
DOI: 10.6084/m9.figshare.26674919.v1
title: Additional file 4 of Systematic analysis of the role of LDHs subtype in pan-cancer demonstrates the importance of LDHD in the prognosis of hepatocellular carcinoma patients

description: Additional file 4: Table S3. LDHD expression correlated with clinical pathological characteristics (logistic regression).
DOI: 10.6084/m9.figshare.26674922
title: Additional file 5 of Systematic analysis of the role of LDHs subtype in pan-cancer demonstrates the importance of LDHD in the prognosis of hepatocellular carcinoma patients

description: Additional file 5: Table S4. Univariate analysis and multivariate analyses of liver cancer patient overall survival.
DOI: 10.6084/m9.figshare.26674922.v1
title: Additional file 5 of Systematic analysis of the role of LDHs subtype in pan-cancer demonstrates the importance of LDHD in the prognosis of hepatocellular carcinoma patients

description: Additional file 5: Table S4. Univariate analysis and multivariate analyses of liver cancer patient overall survival.
DOI: 10.34740/kaggle/dsv/9197678
title: OCR_Bangla
DOI: 10.6084/m9.figshare.25124056
title: Additional file 2 of MiR-124-3p negatively impacts embryo implantation via suppressing uterine receptivity formation and embryo development

description: Additional file 2: Table S2. Identification of differentially expressed miRNA in Ishikawa cells treated with IFN-λ compared to untreated cells.
DOI: 10.6084/m9.figshare.25124056.v1
title: Additional file 2 of MiR-124-3p negatively impacts embryo implantation via suppressing uterine receptivity formation and embryo development

description: Additional file 2: Table S2. Identification of differentially expressed miRNA in Ishikawa cells treated with IFN-λ compared to untreated cells.
DOI: 10.6084/m9.figshare.26675003
title: Additional file 4 of MiR-124-3p negatively impacts embryo implantation via suppressing uterine receptivity formation and embryo development

description: Additional file 4: Table S4a. miR-124-3p target genes. Table S4b. Gene Ontology (GO) analysis. Tabel S4c. KEGG pathway analysis.
DOI: 10.6084/m9.figshare.26675003.v1
title: Additional file 4 of MiR-124-3p negatively impacts embryo implantation via suppressing uterine receptivity formation and embryo development

description: Additional file 4: Table S4a. miR-124-3p target genes. Table S4b. Gene Ontology (GO) analysis. Tabel S4c. KEGG pathway analysis.
DOI: 10.6084/m9.figshare.25123897
title: Additional file 1 of Role of a novel circRNA-CGNL1 in regulating pancreatic cancer progression via NUDT4–HDAC4–RUNX2–GAMT-mediated apoptosis

description: Additional file 1.
DOI: 10.6084/m9.figshare.25123897.v1
title: Additional file 1 of Role of a novel circRNA-CGNL1 in regulating pancreatic cancer progression via NUDT4–HDAC4–RUNX2–GAMT-mediated apoptosis

description: Additional file 1.
DOI: 10.6084/m9.figshare.26675030
title: Additional file 9 of Role of a novel circRNA-CGNL1 in regulating pancreatic cancer progression via NUDT4–HDAC4–RUNX2–GAMT-mediated apoptosis

description: Additional file 9: Supplementary Table 1. Primers, probes, siRNA and shRNAs used in this study.
DOI: 10.6084/m9.figshare.26675030.v1
title: Additional file 9 of Role of a novel circRNA-CGNL1 in regulating pancreatic cancer progression via NUDT4–HDAC4–RUNX2–GAMT-mediated apoptosis

description: Additional file 9: Supplementary Table 1. Primers, probes, siRNA and shRNAs used in this study.
DOI: 10.15468/dl.m3m69s
title: Occurrence Download

description: A dataset containing 4587 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phalacrocorax harrisi Rothschild, 1898"
 ]
}

 The dataset includes 4587 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001586-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2024651386
title: The Netherlands BAG

description: The Netherlands BAG comprises structural biology and enzymology groups at five dutch universities (Utrecht, Groningen, Leiden, Eindhoven and Wageningen) and at the Netherlands Cancer Institute in Amsterdam, with a total of thirteen PIs. The research projects carried out in these groups can be largely classified into two major themes: (i) research on proteins and systems with a strong biomedical relevance and (ii) research concerning the design of new biocatalysts for green chemistry and new-to-nature reactions. Projects deal with prokaryotic and eukaryotic proteins, membrane and soluble proteins, cell surface receptors, and protein-protein, protein-ribonucleotide, protein-drug and enzyme-ligand complexes.
DOI: 10.17632/hbpfsvzbxk.1
title: EtalonDx_KissingSpines_WBST155

description: Genotypes and Kissing Spines grades of 155 stock-type (American Quarter Horse, American Paint Horse and Appaloosa) and Warmblood (American Warmblood, Dutch Warmblood, Hanoverian, Belgian Warmblood, Irish Sport Horse, Westphalian, Zangersheide, etc.) horses presented at collaborating veterinary clinics and hospitals, phenotyped using a strict clinical and radiographical scheme to grade each horse from 0 for unaffected controls to 4 for severe KS. Genotypic data resulting from the Illumina Equine SNP70 array (Illumina, Inc.), filtered by minor allele frequency (MAF) higher than 5% and a per locus genotyping rate higher than 95%, resulting in 7,817 and 11,518 respective markers removed, leaving a total of 61,229 markers at a genotyping rate of 0.991564 for the 155 horses.
DOI: 10.17632/bzj5zv36kw.1
title: A powerful plant-fungus interaction system utilizing the model organisms Neurospora crassa and Brachypodium distachyon

description: Fungi, beyond their role as saprophytes, engage in intricate relationships with plants, showcasing diverse connections ranging from mutualistic to pathogenic. Employing two well-established model organisms, the grass Brachypodium distachyon and the ascomycete Neurospora crassa we describe here a novel and reliable endophytic interaction. Although N. crassa has been extensively investigated in laboratory conditions, its ecological characteristics remain largely unknown. In contrast, B. distachyon, a sweet grass closely related to significant crops, demonstrates remarkable ecological flexibility and participates in a variety of fungal interactions, encompassing both mutualistic and harmful associations. 
Through comprehensive microscopic analysis using electron, fluorescence, and confocal laser scanning microscopy, we discovered a novel endophytic interaction between N. crassa and B. distachyon roots, where fungal hyphae not only thrive in the apoplastic space and vascular bundle but also colonize plant root cells.
This consistent connection between the fungus and B. distachyon suggests a natural association of the fungus with Poaceae. This discovery opens new perspectives for understanding the fungal life cycle in nature. Moreover, we present a powerful tool for studying plant-fungus interspecies communication, combining well-established model systems.
DOI: 10.15468/dl.5q8ksm
title: Occurrence Download

description: A dataset containing 2403347471 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 2403347471 records from 45136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001541-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0200112.10fu
title: SH0200112.10FU

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: 10.15156/bio/sh0200113.10fu
title: SH0200113.10FU

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: 10.15156/bio/sh0200114.10fu
title: SH0200114.10FU

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: 10.15156/bio/sh0200115.10fu
title: SH0200115.10FU

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: 10.15156/bio/sh0200116.10fu
title: SH0200116.10FU

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.psydhx
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((79.66783100000001 18.050973, 79.593957 18.045398, 79.52191500000001 18.028809, 79.453492 18.001619, 79.390382 17.964501, 79.334146 17.918375, 79.286169 17.864384, 79.24763 17.803863, 79.21947400000001 17.738308, 79.202382 17.669337, 79.196763 17.598652, 79.202744 17.527995, 79.220162 17.459102, 79.24857799999999 17.393669, 79.287282 17.333302, 79.335317 17.279481, 79.391496 17.233526, 79.45444000000001 17.196561, 79.522603 17.169493, 79.594319 17.152983, 79.66783100000001 17.147434, 79.741343 17.152983, 79.813059 17.169493, 79.88122199999999 17.196561, 79.944166 17.233526, 80.000345 17.279481, 80.04837999999999 17.333302, 80.087084 17.393669, 80.1155 17.459102, 80.132918 17.527995, 80.13889899999999 17.598652, 80.13328 17.669337, 80.11618799999999 17.738308, 80.088032 17.803863, 80.049493 17.864384, 80.001516 17.918375, 79.94528 17.964501, 79.88217 18.001619, 79.81374700000001 18.028809, 79.741705 18.045398, 79.66783100000001 18.050973))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002144-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0200117.10fu
title: SH0200117.10FU

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: 10.15156/bio/sh0200118.10fu
title: SH0200118.10FU

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: 10.15156/bio/sh0200119.10fu
title: SH0200119.10FU

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: 10.15156/bio/sh0200120.10fu
title: SH0200120.10FU

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.