cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh2742913.08fu
title: SH2742913.08FU

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/sh2742914.08fu
title: SH2742914.08FU

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/sh2742915.08fu
title: SH2742915.08FU

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/sh2742916.08fu
title: SH2742916.08FU

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/sh2742917.08fu
title: SH2742917.08FU

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/sh2742918.08fu
title: SH2742918.08FU

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/sh2742919.08fu
title: SH2742919.08FU

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/sh2742920.08fu
title: SH2742920.08FU

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/sh2742921.08fu
title: SH2742921.08FU

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: 10.6084/m9.figshare.8286929
title: Additional file 10: of Novel interconnections of HOG signaling revealed by combined use of two proteomic software packages

description: Table S5. Related to Fig. 1. List summarizing results of the MS analysis performed on a HeLa cell extract. The file is composed of two sheets, for the MQ-derived (version 1.5.2.8), and the PD-derived (version 1.4) results. (XLSX 2994 kb)
DOI: 10.6084/m9.figshare.8286929.v1
title: Additional file 10: of Novel interconnections of HOG signaling revealed by combined use of two proteomic software packages

description: Table S5. Related to Fig. 1. List summarizing results of the MS analysis performed on a HeLa cell extract. The file is composed of two sheets, for the MQ-derived (version 1.5.2.8), and the PD-derived (version 1.4) results. (XLSX 2994 kb)
DOI: 10.6084/m9.figshare.8286890
title: Additional file 4: of Understanding the liver under heat stress with statistical learning: an integrated metabolomics and transcriptomics computational approach

description: liver_enriched_genes_for_manuscript.txt. List of liver enriched genes. (TXT 3 kb)
DOI: 10.6084/m9.figshare.8286893
title: Additional file 3: of Effect of wet storage conditions on potato tuber transcriptome, phytohormones and growth

description: Similarity between the microarray analysis at 4 °C and RNA-Seq analysis at 15 °C. (XLSX 24 kb)
DOI: 10.6084/m9.figshare.8286890.v1
title: Additional file 4: of Understanding the liver under heat stress with statistical learning: an integrated metabolomics and transcriptomics computational approach

description: liver_enriched_genes_for_manuscript.txt. List of liver enriched genes. (TXT 3 kb)
DOI: 10.6084/m9.figshare.8286884
title: Additional file 2: of Effect of wet storage conditions on potato tuber transcriptome, phytohormones and growth

description: RNA-Seq data. Raw data and DEGs of RNA-Seq data for one hour, 24 h and one week. DEGs identified with NOIseq with probability &gt; 0.8, p-value
DOI: 10.6084/m9.figshare.8286893.v1
title: Additional file 3: of Effect of wet storage conditions on potato tuber transcriptome, phytohormones and growth

description: Similarity between the microarray analysis at 4 °C and RNA-Seq analysis at 15 °C. (XLSX 24 kb)
DOI: 10.6084/m9.figshare.8286878
title: Additional file 2: of Understanding the liver under heat stress with statistical learning: an integrated metabolomics and transcriptomics computational approach

description: Appendices_Supplementary_Metabolomics_Data.csv. -raw metabolomics data utilized in the study (CSV 78 kb)
DOI: 10.6084/m9.figshare.8286881
title: Additional file 3: of Understanding the liver under heat stress with statistical learning: an integrated metabolomics and transcriptomics computational approach

description: F6P_G3P_Glycine_triplet_BMC. R Code for the linear model used to describe the metabolic fork (R 1 kb)
DOI: 10.6084/m9.figshare.8286884.v1
title: Additional file 2: of Effect of wet storage conditions on potato tuber transcriptome, phytohormones and growth

description: RNA-Seq data. Raw data and DEGs of RNA-Seq data for one hour, 24 h and one week. DEGs identified with NOIseq with probability &gt; 0.8, p-value
DOI: 10.6084/m9.figshare.8286878.v1
title: Additional file 2: of Understanding the liver under heat stress with statistical learning: an integrated metabolomics and transcriptomics computational approach

description: Appendices_Supplementary_Metabolomics_Data.csv. -raw metabolomics data utilized in the study (CSV 78 kb)
DOI: 10.6084/m9.figshare.8286881.v1
title: Additional file 3: of Understanding the liver under heat stress with statistical learning: an integrated metabolomics and transcriptomics computational approach

description: F6P_G3P_Glycine_triplet_BMC. R Code for the linear model used to describe the metabolic fork (R 1 kb)
DOI: 10.6084/m9.figshare.8286866
title: Additional file 1: of Understanding the liver under heat stress with statistical learning: an integrated metabolomics and transcriptomics computational approach

description: Appendices_Supplementary_EdgeR_Data.xlsx. -p-values for all genes using the statistical program edgeR. (TXT 1210 kb)
DOI: 10.6084/m9.figshare.8286869
title: Additional file 1: of Effect of wet storage conditions on potato tuber transcriptome, phytohormones and growth

description: Microarray data. Raw data and DEGs of the microarray data with log2 fold change ≥ − 1 and ≤ + 1 and p-value ≤0.05, and categorized genes. (XLSX 6000 kb)
DOI: 10.6084/m9.figshare.8286866.v1
title: Additional file 1: of Understanding the liver under heat stress with statistical learning: an integrated metabolomics and transcriptomics computational approach

description: Appendices_Supplementary_EdgeR_Data.xlsx. -p-values for all genes using the statistical program edgeR. (TXT 1210 kb)
DOI: 10.6084/m9.figshare.8286869.v1
title: Additional file 1: of Effect of wet storage conditions on potato tuber transcriptome, phytohormones and growth

description: Microarray data. Raw data and DEGs of the microarray data with log2 fold change ≥ − 1 and ≤ + 1 and p-value ≤0.05, and categorized genes. (XLSX 6000 kb)
DOI: 10.6084/m9.figshare.8286818
title: Additional file 1: of Prognostic assessment of breast carcinoma submitted to neoadjuvant chemotherapy with pathological non-complete response

description: Datasets supporting the study findings. (XLSX 122 kb)
DOI: 10.6084/m9.figshare.8286818.v1
title: Additional file 1: of Prognostic assessment of breast carcinoma submitted to neoadjuvant chemotherapy with pathological non-complete response

description: Datasets supporting the study findings. (XLSX 122 kb)
DOI: 10.6084/m9.figshare.8286806
title: Additional file 6: of Secretion of fibronectin by human pancreatic stellate cells promotes chemoresistance to gemcitabine in pancreatic cancer cells

description: Table S3.Â Gene ontology functional annotation. (XLSX 15 kb)
DOI: 10.6084/m9.figshare.8286806.v1
title: Additional file 6: of Secretion of fibronectin by human pancreatic stellate cells promotes chemoresistance to gemcitabine in pancreatic cancer cells

description: Table S3.Â Gene ontology functional annotation. (XLSX 15 kb)
DOI: 10.6084/m9.figshare.8286800
title: Additional file 5: of Secretion of fibronectin by human pancreatic stellate cells promotes chemoresistance to gemcitabine in pancreatic cancer cells

description: Table S2.Â A complete list of all PSC secretome proteins together with their identification parameters. (XLSX 154 kb)
DOI: 10.6084/m9.figshare.8286800.v1
title: Additional file 5: of Secretion of fibronectin by human pancreatic stellate cells promotes chemoresistance to gemcitabine in pancreatic cancer cells

description: Table S2.Â A complete list of all PSC secretome proteins together with their identification parameters. (XLSX 154 kb)
DOI: 10.6084/m9.figshare.8286764
title: Additional file 1: of Clinical usefulness of iQ200/iChem Velocity workstation for screening of urine culture

description: The raw dataset of 1942 urine samples including patients' gender, age-range, specimen type, and test results from culture, gram staining and iQ200/iChem workstation. (XLSX 251 kb)
DOI: 10.6084/m9.figshare.8286764.v1
title: Additional file 1: of Clinical usefulness of iQ200/iChem Velocity workstation for screening of urine culture

description: The raw dataset of 1942 urine samples including patients' gender, age-range, specimen type, and test results from culture, gram staining and iQ200/iChem workstation. (XLSX 251 kb)
DOI: 10.6084/m9.figshare.8286254
title: Activity of hydrothermal fluid at the bottom of a lake and its influence on the development of high-quality source rocks: Triassic Yanchang Formation, southern Ordos Basin, China

description: Evidence for hydrothermal activity, such as siliceous rocks, iron dolomite layer deposits, and hydrothermal mineral combinations of ilmenite + pyrite + anhydrite, has been found in the high-quality source rocks from the Chang 7 layer in the Triassic Yanchang Formation from the southern margin of the Ordos Basin, China. In this paper, elemental geochemical analysis is carried out on a large number of samples collected from an outcrop geological section and drill core from the Chang 7 layer. We use elemental ratios to study the hydrothermal activity; the Al/(Al + Fe + Mn) ratio reflects the paleoproductivity, and the P/Al and P/Ti ratios and total S contents reflect the redox environment. The relationships between the hydrothermal activity and paleoproductivity, redox conditions and organic matter content are discussed. The correlation coefficients between the hydrothermal index Al/(Al + Fe + Mn) and the (Fe + Mn)/Ti ratio and total organic carbon are as high as –0.88 and 0.87, respectively, demonstrating a close relationship between hydrothermal activity and source-rock deposition. The correlation coefficients between the Al/(Al + Fe + Mn) ratio and the P/Al and P/Ti ratios, and total S contents are –0.81, –0.80, and –0.89, respectively, supporting this relationship. Hydrothermal activity can promote productivity at the lake surface and the development of a bottom-water anoxic environment. The paleoproductivity level of the Chang 7 sedimentary period is relatively high and represents an oxygen-poor anaerobic environment. The hydrothermal activity in the southern margin of the basin is strong, whereas the activity in the north is gradually weakened. Studies have shown that the hydrothermal activity at the bottom of the lake plays an important role in promoting the large-scale development of the Chang 7 high-quality source rocks. The organic matter abundance in samples with hydrothermal alteration are greater than in samples elsewhere.
DOI: 10.6084/m9.figshare.8286233
title: Age and composition of dykes emplaced before and during the opening of the Tasman Sea—source implications

description: Dykes are common in the wave-cut platforms along the coast from Newcastle to Sydney. According to some authors, they may be related to the opening of the Tasman Sea that commenced <i>ca</i> 84 Ma ago. However, there are few detailed radiogenic dating and geochemical studies to evaluate this. We attempt to resolve this by K–Ar dating of plagioclase in and geochemical studies of, basaltic dykes intruding Permo-Triassic sequences on the wave-cut platforms and Carboniferous and Permo-Triassic sequences inland. The plagioclase separated from the dykes give K–Ar ages ranging from 266 to 53 Ma with the majority older than 84 Ma indicating that most dykes were emplaced before the Tasman Seafloor formation. The dykes are generally mildly alkaline, high-Ti basalts; fewer are tholeiitic and calc-alkaline, low-Ti basalts. Strongly light rare earth element (LREE)-enriched patterns typify the former and flat, LREE-depleted or slightly to moderately enriched LREE patterns, the latter. High-Ti basalts have ocean-island-basalt-like and low-Ti basalts, calc-alkaline or mid-ocean ridge basalt (MORB)-like patterns. Most high-Ti and some low-Ti basalts show plume-like characteristics, others N-type MORB and arc-like characteristics. Dykes intruding the Carboniferous sequences show a distinct contamination signature that could be crustal or due to subduction-related metasomatism of the subcontinental lithospheric mantle. The sources of the basaltic magmas vary substantially and in places changes with time. All alkali basalts are derived from enriched asthenospheric sources at varying depths (90–147 km) and most tholeiitic, low-Ti basalts have been extracted from asthenospheric and depleted asthenospheric–lithospheric sources indicating substantial compositional heterogeneity of the mantle. Further, Nd model ages varying from Neoproterozoic (940–580 Ma) to Paleozoic (460–370 Ma) suggest variation in the age of mantle sources for the basalts.
DOI: 10.6084/m9.figshare.8286251
title: Metadata

description: Metadata table with tissue type, age, sex, and sample ID.
DOI: 10.6084/m9.figshare.8286230
title: Raw count table

description: A count table of raw counts of genes with an ensemble id (~25k genes) for all tissues.