cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1746824.08fu
title: SH1746824.08FU

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/sh381206.07fu
title: SH381206.07FU

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/sh381207.07fu
title: SH381207.07FU

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/sh381208.07fu
title: SH381208.07FU

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/sh1746825.08fu
title: SH1746825.08FU

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/sh1746826.08fu
title: SH1746826.08FU

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/sh1746827.08fu
title: SH1746827.08FU

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/sh381209.07fu
title: SH381209.07FU

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/sh381210.07fu
title: SH381210.07FU

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.14905711.v1
title: Additional file 2 of Maternal cold exposure induces distinct transcriptome changes in the placenta and fetal brown adipose tissue in mice

description: Additional file 2.
DOI: 10.6084/m9.figshare.14905717
title: Additional file 4 of Maternal cold exposure induces distinct transcriptome changes in the placenta and fetal brown adipose tissue in mice

description: Additional file 4.
DOI: 10.6084/m9.figshare.10730321
title: MOESM4 of Genome wide association study reveals novel QTL for barley yellow dwarf virus resistance in wheat

description: Additional file 4: Table S1. The value of population structure of 335 genotypes.
DOI: 10.6084/m9.figshare.10730321.v1
title: MOESM4 of Genome wide association study reveals novel QTL for barley yellow dwarf virus resistance in wheat

description: Additional file 4: Table S1. The value of population structure of 335 genotypes.
DOI: 10.6084/m9.figshare.10730330
title: MOESM5 of Genome wide association study reveals novel QTL for barley yellow dwarf virus resistance in wheat

description: Additional file 5: Table S2. Comparison of association mapping results for BYD tolerance using the K model, based on the average data from three trials and the data using the best linear unbiased prediction (BLUP) method.
DOI: 10.6084/m9.figshare.10730330.v1
title: MOESM5 of Genome wide association study reveals novel QTL for barley yellow dwarf virus resistance in wheat

description: Additional file 5: Table S2. Comparison of association mapping results for BYD tolerance using the K model, based on the average data from three trials and the data using the best linear unbiased prediction (BLUP) method.
DOI: 10.6084/m9.figshare.10730339
title: MOESM6 of Genome wide association study reveals novel QTL for barley yellow dwarf virus resistance in wheat

description: Additional file 6: Table S3. Results of the putative candidate genes associated with BYD resistance on chromosome 2A, 2B, 6A and 7A.
DOI: 10.6084/m9.figshare.10730339.v1
title: MOESM6 of Genome wide association study reveals novel QTL for barley yellow dwarf virus resistance in wheat

description: Additional file 6: Table S3. Results of the putative candidate genes associated with BYD resistance on chromosome 2A, 2B, 6A and 7A.
DOI: 10.6084/m9.figshare.10730360
title: MOESM1 of Modification of the genome topology network and its application to the comparison of group B Streptococcus genomes

description: Additional file 1: Table S1. Gene families used in the complete genome group. Table S2. Gene families used in the complete and draft genome group. Table S3. COG functional classification of the genes at the unique node connections in GBS-M002 against clade F. Table S4. All gene connections in the six clades for comparison with their parallel clades to determine unique node connections. The genes at the unique node connections were classified into COG functional categories. Table S5. Comparison of conserved genomic region detection between the GTN and Mauve. The ‘average length (KB) in a genome’ represents the average length of the conserved genomic regions in each genome. The ‘fragments in a genome’ represent the number of conserved fragments in each genome. Table S6. Information on 51 genomes downloaded from the NCBI database.
DOI: 10.6084/m9.figshare.10730360.v1
title: MOESM1 of Modification of the genome topology network and its application to the comparison of group B Streptococcus genomes

description: Additional file 1: Table S1. Gene families used in the complete genome group. Table S2. Gene families used in the complete and draft genome group. Table S3. COG functional classification of the genes at the unique node connections in GBS-M002 against clade F. Table S4. All gene connections in the six clades for comparison with their parallel clades to determine unique node connections. The genes at the unique node connections were classified into COG functional categories. Table S5. Comparison of conserved genomic region detection between the GTN and Mauve. The ‘average length (KB) in a genome’ represents the average length of the conserved genomic regions in each genome. The ‘fragments in a genome’ represent the number of conserved fragments in each genome. Table S6. Information on 51 genomes downloaded from the NCBI database.
DOI: 10.6084/m9.figshare.19119063
title: Activation of Conjunctiva-Associated Lymphoid Tissue in Diabetic Patients

description: To evaluate changes in conjunctiva-associated lymphoid tissues (CALTs) in patients with type 2 diabetic mellitus (T2DM). Thirty-two patients with T2DM and 32 healthy volunteers underwent comprehensive examinations. In vivo confocal microscopy and Image J were used to observe and evaluate the patients’ CALT-related parameters. Conjunctival impression cytology (CIC) samples of the tarsal conjunctiva were collected from the patients, and CD4+ and CD8+ cells were evaluated by immunofluorescence staining. The diabetes group showed higher diffuse lymphocyte density(<i>p</i> &lt; .001), follicular density(<i>p</i> &lt; .001) and parafollicular lymphocyte density(<i>p</i> &lt; .001). The percentages of CD4+ cells (<i>p</i> &lt; .001) and CD8+ cells (<i>p</i> &lt; .001) in the diabetes group were higher than those in the control group. CALT-related parameters of the diabetic patients with diabetic retinopathy showed higher degrees of activation than those of the diabetic patients without diabetic retinopathy. CALT activation is observed in patients with T2DM, and the activation is more obvious in patients with diabetic retinopathy. Retrospectively registered, ChiCTR2100046030.
DOI: 10.6084/m9.figshare.19119063.v1
title: Activation of Conjunctiva-Associated Lymphoid Tissue in Diabetic Patients

description: To evaluate changes in conjunctiva-associated lymphoid tissues (CALTs) in patients with type 2 diabetic mellitus (T2DM). Thirty-two patients with T2DM and 32 healthy volunteers underwent comprehensive examinations. In vivo confocal microscopy and Image J were used to observe and evaluate the patients’ CALT-related parameters. Conjunctival impression cytology (CIC) samples of the tarsal conjunctiva were collected from the patients, and CD4+ and CD8+ cells were evaluated by immunofluorescence staining. The diabetes group showed higher diffuse lymphocyte density(<i>p</i> &lt; .001), follicular density(<i>p</i> &lt; .001) and parafollicular lymphocyte density(<i>p</i> &lt; .001). The percentages of CD4+ cells (<i>p</i> &lt; .001) and CD8+ cells (<i>p</i> &lt; .001) in the diabetes group were higher than those in the control group. CALT-related parameters of the diabetic patients with diabetic retinopathy showed higher degrees of activation than those of the diabetic patients without diabetic retinopathy. CALT activation is observed in patients with T2DM, and the activation is more obvious in patients with diabetic retinopathy. Retrospectively registered, ChiCTR2100046030.
DOI: 10.4121/675f3f64-04a8-48db-ae3e-4a6c004a0776
title: Dataset of pan-European 1-h OPERA radar precipitation accumulations adjusted with rain gauge accumulations from Netatmo personal weather stations

description: Ground-based weather radars provide precipitation estimates with wide coverage and high spatiotemporal resolution, but usually need adjustment with rain gauge data to obtain a reasonable accuracy. The (near) real-time availability and density of rain gauge networks operated by official institutes, especially national meteorological and hydrological services, is often relatively low. Crowdsourced rain gauge networks typically have a much higher density than networks from official institutes. Data from PWSs from brand Netatmo were obtained. Here, pan-European 1-h radar precipitation accumulations have been adjusted with 1-h rain gauge accumulations from personal weather stations (PWSs) for each clock-hour. The radar data were obtained from the Operational Program on the Exchange of weather RAdar information (OPERA) over the period 1 September 2019–31 August 31 2020. Two statistical methods and a satellite cloud type mask have been applied to the OPERA data to further remove non-meteorological echoes. Although not all these methods could be applied in (near) real-time, the OPERA dataset is representative of near (real-time) data, because these methods do only concern non-meteorological echo removal and not precipitation estimation itself. The Netatmo PWS data were subjected to quality control employing neighbouring PWSs and unadjusted radar data, before they were merged with the radar accumulations. A spatial adjustment (merging) method has been employed. The dataset covers 78% of geographical Europe. The dataset aims to show the potential of crowdsourced rain gauge data to improve radar data in (near) real-time.
DOI: 10.6084/m9.figshare.17010193.v1
title: Additional file 4 of Uncovering the Novel QTLs and Candidate Genes of Salt Tolerance in Rice with Linkage Mapping, RTM-GWAS, and RNA-seq

description: Additional file 4. Table S3. Primers of DEGs were used in this study.
DOI: 10.6084/m9.figshare.17010196.v1
title: Additional file 5 of Uncovering the Novel QTLs and Candidate Genes of Salt Tolerance in Rice with Linkage Mapping, RTM-GWAS, and RNA-seq

description: Additional file 5. Table S4. QTLs from R/qtl analysis.
DOI: 10.6084/m9.figshare.17010193
title: Additional file 4 of Uncovering the Novel QTLs and Candidate Genes of Salt Tolerance in Rice with Linkage Mapping, RTM-GWAS, and RNA-seq

description: Additional file 4. Table S3. Primers of DEGs were used in this study.
DOI: 10.6084/m9.figshare.17010205
title: Additional file 8 of Uncovering the Novel QTLs and Candidate Genes of Salt Tolerance in Rice with Linkage Mapping, RTM-GWAS, and RNA-seq

description: Additional file 8. Table S7. Genes in our QTLs.
DOI: 10.6084/m9.figshare.14905921
title: Additional file 2 of Genome-wide identification of PTI1 family in Setaria italica and salinity-responsive functional analysis of SiPTI1–5

description: Additional file 2. The PTI1 proteins used to construct phylogenetic but does not include SiPTI1s.
DOI: 10.6084/m9.figshare.17010208
title: Additional file 9 of Uncovering the Novel QTLs and Candidate Genes of Salt Tolerance in Rice with Linkage Mapping, RTM-GWAS, and RNA-seq

description: Additional file 9. Table S8. Candidate genes in our QTLs.
DOI: 10.6084/m9.figshare.8093291.v1
title: Additional file 1 of Correction to: Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome

description: Description of MCC-Seq capture panel. This file contains: (1) summary of CpGs and genomic regions targeted by the MCC-Seq capture panel design (.xlsx Excel spreadsheet format), and (2) a list of the targeted regions (.bed text file). (ZIP 4405 kb)
DOI: 10.6084/m9.figshare.17010178
title: Additional file 11 of Uncovering the Novel QTLs and Candidate Genes of Salt Tolerance in Rice with Linkage Mapping, RTM-GWAS, and RNA-seq

description: Additional file 11. Table S10. Haplotype analysis result of LOC_Os06g01250.
DOI: 10.6084/m9.figshare.17010175.v1
title: Additional file 10 of Uncovering the Novel QTLs and Candidate Genes of Salt Tolerance in Rice with Linkage Mapping, RTM-GWAS, and RNA-seq

description: Additional file 10. Table S9. Haplotype analysis result of LOC_Os05g14880.
DOI: 10.6084/m9.figshare.17010178.v1
title: Additional file 11 of Uncovering the Novel QTLs and Candidate Genes of Salt Tolerance in Rice with Linkage Mapping, RTM-GWAS, and RNA-seq

description: Additional file 11. Table S10. Haplotype analysis result of LOC_Os06g01250.
DOI: 10.6084/m9.figshare.14905918
title: Additional file 1 of Genome-wide identification of PTI1 family in Setaria italica and salinity-responsive functional analysis of SiPTI1–5

description: Additional file 1. The sequences of PTI1 genes in foxtail millet.
DOI: 10.6084/m9.figshare.17010181
title: Additional file 12 of Uncovering the Novel QTLs and Candidate Genes of Salt Tolerance in Rice with Linkage Mapping, RTM-GWAS, and RNA-seq

description: Additional file 12. Table S11. haplotype analysis result of LOC_Os06g37300.
DOI: 10.6084/m9.figshare.17010181.v1
title: Additional file 12 of Uncovering the Novel QTLs and Candidate Genes of Salt Tolerance in Rice with Linkage Mapping, RTM-GWAS, and RNA-seq

description: Additional file 12. Table S11. haplotype analysis result of LOC_Os06g37300.
DOI: 10.6084/m9.figshare.17010300
title: Additional file 4 of Myocardial protective effect and transcriptome profiling of Naoxintong on cardiomyopathy in zebrafish

description: Additional file 4: Table S3. GO and KEGG analysis of DGEs of TFD+NXT vs. TFD.
DOI: 10.25345/c5xs5jt60
title: MassIVE MSV000094081 - LC-MS analysis of Streptomyces globisporus extract
title: The microorganism was cultivated in M1 medium for 10 days, 28 centigrade degrees and 150 rpm followed by obtaining microbial extract with liquid-liquid extraction using ethyl acetate.
DOI: 10.6084/m9.figshare.17010187
title: Additional file 2 of Uncovering the Novel QTLs and Candidate Genes of Salt Tolerance in Rice with Linkage Mapping, RTM-GWAS, and RNA-seq

description: Additional file 2. Table S1. Meta-QTLs used in this study.
DOI: 10.6084/m9.figshare.17010190.v1
title: Additional file 3 of Uncovering the Novel QTLs and Candidate Genes of Salt Tolerance in Rice with Linkage Mapping, RTM-GWAS, and RNA-seq

description: Additional file 3. Table S2. Known genes used in this study.
DOI: 10.6084/m9.figshare.10730555
title: MOESM10 of Transcriptome-wide analysis of changes in the fetal placenta associated with prenatal arsenic exposure in the New Hampshire Birth Cohort Study

description: Additional file 10. Gene sets enriched in both birth weight and U-As analyses in A) female and B) male fetal placenta at FDR &lt; 0.05. Gene sets showing opposite directions of association in 9A) are asterisked.