cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1269262.08fu
title: SH1269262.08FU

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/sh1269263.08fu
title: SH1269263.08FU

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/sh1269264.08fu
title: SH1269264.08FU

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/sh1269265.08fu
title: SH1269265.08FU

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/sh1269266.08fu
title: SH1269266.08FU

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: 10.25549/one-ouc16833419
title: Frank M., letters (1958-1959)

description: Frank M., letters with payment to become an associate member of ONE magazine (1958-1959)
DOI: 10.15156/bio/sh1269267.08fu
title: SH1269267.08FU

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/sh1269268.08fu
title: SH1269268.08FU

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/sh1269269.08fu
title: SH1269269.08FU

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/sh1269270.08fu
title: SH1269270.08FU

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.6859175
title: MOESM2 of siRNAs regulate DNA methylation and interfere with gene and lncRNA expression in the heterozygous polyploid switchgrass

description: Additional file 2: Data S1. Effective coverage rate of cytosine in the chromosome, gene, and repeat regions in both leaf and root tissues of switchgrass.
DOI: 10.6084/m9.figshare.20486794.v1
title: Additional file 1 of Single-cell transcriptomics reveals the cell fate transitions of human dopaminergic progenitors derived from hESCs

description: Additional file1. Table S1: List of primers for real-time PCR.
DOI: 10.14473/csda/kbpxtm/jpi9ce
title: NS_1504_DataFile-FINAL_bez_jmen.tab

description: Data
DOI: 10.14473/csda/kbpxtm
title: Naše společnost 2015 - duben

description: Výzkum provedl výzkumný tým CVVM Sociologického ústavu AV ČR, v.v.i., v rámci výzkumu „Naše společnost 2015". Sběr dat provedla tazatelská síť CVVM.
DOI: 10.14473/csda/kbpxtm/ifqce0
title: OM_V1504.pdf

description: Ostatní materiály
DOI: 10.6084/m9.figshare.23632611
title: Additional file 1 of Risk factors for periventricular-intraventricular haemorrhage severity in preterm infants: a propensity score-matched analysis

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.18393506
title: Additional file 7 of Proteome evaluation of homolog abundance patterns in Arachis hypogaea cv. Tifrunner

description: Additional file 7: Table S2. The paralogous and homeologous protein pairs with abundances in the leaf and root tissues.
DOI: 10.6084/m9.figshare.18393512
title: Additional file 9 of Proteome evaluation of homolog abundance patterns in Arachis hypogaea cv. Tifrunner

description: Additional file 9: Table S4. The paralogous and homeologous protein pairs with differential abundances in the root. The differential abundance was estimated between leaf and root tissues.
DOI: 10.6084/m9.figshare.20486816.v1
title: Additional file 6 of Biological activity reduction and mitochondrial and lysosomal dysfunction of mesenchymal stem cells aging in vitro

description: Additional file 6. Table S3. List of transcripts of 120210 genes and their FPKM from transcriptome sequence in UMSC-P4 and UMSC-P9. Related to Figure 7A and 7B.
DOI: 10.6084/m9.figshare.18393503
title: Additional file 6 of Proteome evaluation of homolog abundance patterns in Arachis hypogaea cv. Tifrunner

description: Additional file 6: Table S1. Proteins with abundances were detected using the tandem mass tag technology.
DOI: 10.6084/m9.figshare.23632614
title: Additional file 2 of Risk factors for periventricular-intraventricular haemorrhage severity in preterm infants: a propensity score-matched analysis

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.13671078.v1
title: Additional file 3 of Specialized metabolic functions of keystone taxa sustain soil microbiome stability

description: Additional file 3: Supplementary dataEx1. The community composition and the corresponding AVD values of different bacterial consortia from the study of Niu et al. [19].
DOI: 10.6084/m9.figshare.23632606.v1
title: Additional file 1 of Proteomic profiling of longitudinal changes in kidney function among middle-aged and older men and women: the KORA S4/F4/FF4 study

description: Additional file 1: Table S1. Normalized expressionvalues for proteomic biomarkers at baseline; Table S2. SNPs-traitsassociations retrieved from PhenoScanner V2 for proteins-related SNPs; Table S3. Harmonized summary statisticsused in Mendelian randomization analysis; TableS4. Characteristics of participants over the study period; Table S5. Baseline characteristics forparticipants with and without follow-up information on eGFRcr; Table S6. Longitudinal associationsbetween 233 proteomic biomarkers and the annual rate of change in eGFRcr; Table S7. Longitudinal associations between 233 proteomicbiomarkers and the annual rate of change in CKD-EPI Equation 2009-based andCKD-EPI Equation 2021-based eGFRcr;Table S8. Sensitivity analyses oflongitudinal associations between 66 proteomic biomarkers and the annual rateof change in eGFRcr; Table S9. Sensitivityanalyses of association of 66 proteomic biomarkers with rapid decline in eGFRcrand CKD incidence; Table S10. Associationof 66 proteomic biomarkers with the annual rate of change in eGFRcys and CKDincidence; Table S11. Longitudinalassociations between 233 proteomic biomarkers and the annual rate of change ineGFRcys; Table S12. Longitudinal associationsbetween baseline characteristics and the annual rate of change in eGFRcr andeGFRcys; Table S13. Association of 21 proteomic biomarkers with UACR; Table S14. Summary of druggable targetsand their corresponding disease of the 21 identified proteins; Table S15. Proteomic biomarkersassociated with kidney function and/or chronic kidney disease in previouscross-sectional or longitudinal proteomic studies; Table S16. Evaluation of bias due to participant overlap intwo-sample Mendelian randomization analysis; Table S17. STROBEStatement—checklist of items in reports of observational studies; Table S18. STROBE-MR checklist of recommended items in reports of Mendelianrandomization studies.
DOI: 10.6084/m9.figshare.13671081.v1
title: Additional file 4 of Specialized metabolic functions of keystone taxa sustain soil microbiome stability

description: Additional file 4: Supplementary dataEx2. An example dataset for calculating the functional importance using random forest classification method.
DOI: 10.6084/m9.figshare.13671093.v1
title: Additional file 3 of Development and validation of a novel circular RNA as an independent prognostic factor in acute myeloid leukemia

description: Additional file 3. : Dataset 2.
DOI: 10.6084/m9.figshare.20486819.v1
title: Additional file 7 of Biological activity reduction and mitochondrial and lysosomal dysfunction of mesenchymal stem cells aging in vitro

description: Additional file 7. Table S4. List of transcripts upregulated from transcriptome sequence in UMC-P9 versus UMSC-P4. Related to Figure 7 and Figure 8.
DOI: 10.6084/m9.figshare.13671096.v1
title: Additional file 4 of Development and validation of a novel circular RNA as an independent prognostic factor in acute myeloid leukemia

description: Additional file 4. : Dataset 3.
DOI: 10.6084/m9.figshare.23632608.v1
title: Additional file 1 of Effects of editing DFR genes on flowers, leaves, and roots of tobacco

description: Additional file 1: Figure S1. Anthocyanin chromatograms of the flower samples. Table S1. Non-targeted metabolome detection using LC-MS/MS of all samples. Table S2. Gene number and corresponding names.
DOI: 10.6084/m9.figshare.13671084.v1
title: Additional file 5 of Specialized metabolic functions of keystone taxa sustain soil microbiome stability

description: Additional file 5:. The example data files and R codes for calculating βNTI metrics.
DOI: 10.6084/m9.figshare.8956637
title: TAp73 expression and P1 promoter methylation, a potential marker for chemoresponsiveness to cisplatin therapy and survival in muscle-invasive bladder cancer (MIBC)

description: Intrinsic and/or acquired resistance to cisplatin is a significant obstacle in the treatment of muscle-invasive bladder cancer. p73, a p53 homolog and determinant of chemosensitivity, is rarely mutated in bladder cancer (BC). However p73 expression and therefore function can be repressed through epigenetic changes. In this study, we sought to identify DNA methylation status of p73, expression of TAp73 isoform, and their role in cisplatin sensitivity in BC. Primary tumor samples from 338 bladder cancer patients showed decreased TAp73 expression in MIBC compared to superficial BC. Low TAp73 protein expression was associated with shorter overall survival. To investigate if the loss of expression was methylation dependent, we utilized Illumina 450K methylation arrays to interrogate over 150 BC patient samples. We found 12 distinct CpGs in the p73 gene locus that were hypermethylated in tumors compared to adjacent normal tissues. Patients with high p73 promoter methylation specifically at CpG site cg07382920 had worse survival. <i>In vitro</i>, treatment with a DNA demethylating agent, decitabine (DAC), decreased TAp73 methylation and upregulated expression in both CR-T24 (cisplatin resistant T24 cells) and wild type T24 cells. Furthermore, treatment with DAC increased cisplatin response in wild type T24 and CR-T24. Our studies indicate that TAp73 expression and P1 promoter methylation, specifically at the cg073892920 site, may have prognostic and diagnostic value in MIBC. In the setting of P1 promoter hypermethylation, DAC could be used as a potentiating agent of cisplatin-based chemotherapy.
DOI: 10.5517/ccdc.csd.cc2bzg71
title: CCDC 2174223: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.23632656.v1
title: Additional file 2 of Growth hormone treatment improves the development of follicles and oocytes in prepubertal lambs

description: Additional file 2. DEPs in ovarian proteome between control and GH treatment groups.
DOI: 10.5517/ccdc.csd.cc2c34xk
title: CCDC 2177778: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.12102435
title: Genome-wide assessment of population structure and genetic diversity for <i>Anabasis aphylla</i> based on specific length amplification fragment sequencing

description: <i>Anabasis aphylla</i> is a salt and alkali resistant shrub grows in arid and semi-arid areas, which is also a constructive species of desert soil. To reveal the population structure and genetic diversity in populations of <i>A. aphylla</i>, a total of 106 samples were used as experimental materials for sequencing by specific-locus amplified fragment sequencing. In total, we obtained 300105 SNP which had high consistency. Phylogenetic tree of <i>A. aphylla</i> result showed there was a certain difference between these samples, which can be divided into two groups. The Shanon–Wiener index of <i>A. aphylla</i> was 0.4440 and the Nei diversity index was 0.2854. AMOVA analysis showed there was genetic differentiation among the seven groups to a certain level. The genetic diversity analysis showed the genetic variation of <i>A. aphylla</i> mainly from groups. This study provides a reference for further comprehensive study of the genetic structure and evolutionary adaptation of <i>A. aphylla</i>.
DOI: 10.6084/m9.figshare.6859175.v1
title: MOESM2 of siRNAs regulate DNA methylation and interfere with gene and lncRNA expression in the heterozygous polyploid switchgrass

description: Additional file 2: Data S1. Effective coverage rate of cytosine in the chromosome, gene, and repeat regions in both leaf and root tissues of switchgrass.
DOI: 10.5517/ccdc.csd.cc2c74yq
title: CCDC 2181623: Experimental Crystal Structure Determination

description: Related Article: Uwe Böhme, Marcus Herbig|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.13671090
title: Additional file 2 of Development and validation of a novel circular RNA as an independent prognostic factor in acute myeloid leukemia

description: Additional file 2. : Dataset 1.
DOI: 10.5517/ccdc.csd.cc2c76qk
title: CCDC 2181678: Experimental Crystal Structure Determination

description: Related Article: Kurt Merzweiler, Stefanie Hermann|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.13671093
title: Additional file 3 of Development and validation of a novel circular RNA as an independent prognostic factor in acute myeloid leukemia

description: Additional file 3. : Dataset 2.