cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20079865.v1
title: The clinical implication of psychiatric illnesses in patients with alcoholic liver disease: an analysis of US hospitals

description: In this study, we evaluate the clinical impact of psychiatric illnesses (PI) on the hospital outcomes of patients admitted with alcoholic liver disease (ALD). From the National Inpatient Sample from 2012–2017, patients with alcoholic cirrhosis or alcoholic hepatitis were selected and stratified using the presence/absence of PI (which was a composite of psychiatric conditions). The cases were propensity score-matched to PI-absent controls and were compared to the following endpoints: mortality, death due to suicide, length of stay (LOS), hospitalization charges, and hepatic complications. After matching, there were 122,907 PI with and 122,907 without PI. Those with PI were younger (51.8 vs. 51.9 years p = 0.02) and more likely to be female (39.2 vs. 38.7% p = 0.01); however, there was no difference in race. Patients with PI had lower rates of alcoholic cirrhosis but higher rates of alcoholic hepatitis/alcoholic hepatic steatosis. In multivariate, patients with PI had lower rates of all-cause mortality (aOR 0.51 95%CI 0.49–0.54); however, they experienced higher rates of deaths due to suicide (aOR 3.00 95%CI 1.56–5.78) and had longer LOS (aOR 1.02 95%CI 1.01–1.02). Presence of PI in ALD patients is associated with prolonged hospital stay and higher rates deaths due to suicide.
DOI: 10.6084/m9.figshare.11446524
title: MOESM14 of Target sequencing reveals genetic diversity, population structure, core-SNP markers, and fruit shape-associated loci in pepper varieties

description: Additional file 14: Table S7. Specific primers used to detect functional resistance loci against four pepper diseases through Target SNP-seq.
DOI: 10.6084/m9.figshare.11446524.v1
title: MOESM14 of Target sequencing reveals genetic diversity, population structure, core-SNP markers, and fruit shape-associated loci in pepper varieties

description: Additional file 14: Table S7. Specific primers used to detect functional resistance loci against four pepper diseases through Target SNP-seq.
DOI: 10.14272/relgreojjmtakh-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C21H18N4/c22-25-24-21-14-23-12-11-19(21)20-13-17-6-5-15-1-3-16(4-2-15)7-9-18(20)10-8-17/h1-4,8,10-14H,5-7,9H2

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 1H NMR (500 MHz, CDCl3, ppm) δ = 8.58 (d, J = 4.9 Hz, 1H, HAr), 8.55 (s, 1H, HAr), 7.52 (d, J = 4.9 Hz, 1H, HAr), 6.67 (d, J = 7.8 Hz, 1H, HAr), 6.62 (d, J = 7.8 Hz, 1H, HAr), 6.59 (s, 2H, HAr), 6.54–6.50 (m, 3H, HAr), 3.20–3.03 (m, 5H, CH2), 2.95–2.88 (m, 2H, CH2), 2.81–2.75 (m, 1H, CH2). Impurities: DCM (5.30 ppm), water (1.62 ppm).
DOI: 10.14272/relgreojjmtakh-uhfffaoysa-n.1
title: 4-(4'-(3-Azide) pyridyl)[2.2]paracyclophane
title: InChI=1S/C21H18N4/c22-25-24-21-14-23-12-11-19(21)20-13-17-6-5-15-1-3-16(4-2-15)7-9-18(20)10-8-17/h1-4,8,10-14H,5-7,9H2

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C21H18N4/c22-25-24-21-14-23-12-11-19(21)20-13-17-6-5-15-1-3-16(4-2-15)7-9-18(20)10-8-17/h1-4,8,10-14H,5-7,9H2, and canonical SMILES descriptor[cheminf_000007]: [N-]=[N+]=Nc1cnccc1c1cc2ccc1CCc1ccc(CC2)cc1, and by the IUPAC name[cheminf_000107]: .
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-37673

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 CHMO:0000470 | mass spectrometry (MS)
 
 CHMO:0000630 | infrared absorption spectroscopy (IR)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/relgreojjmtakh-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C21H18N4/c22-25-24-21-14-23-12-11-19(21)20-13-17-6-5-15-1-3-16(4-2-15)7-9-18(20)10-8-17/h1-4,8,10-14H,5-7,9H2

description: dataset for infrared absorption spectroscopy (IR)
 
 IR (ATR, ṽ) = 3474 (s), 3325 (s), 3032 (vs), 3023 (vs), 3010 (vs), 2980 (s), 2958 (vs), 2931 (vs), 2897 (vs), 2890 (vs), 2854 (vs), 2132 (vs), 2115 (vs), 2107 (vs), 1584 (vs), 1500 (vs), 1494 (vs), 1410 (vs), 1307 (vs), 1292 (vs), 839 (vs), 407 (vs) cm–1.
DOI: 10.14272/relgreojjmtakh-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C21H18N4/c22-25-24-21-14-23-12-11-19(21)20-13-17-6-5-15-1-3-16(4-2-15)7-9-18(20)10-8-17/h1-4,8,10-14H,5-7,9H2

description: dataset for mass spectrometry (MS)
 
 ESI-MS, m/z (%): 327 (37) [M+H]+, 146 (100), 133 (40).HRMS-ESI for [C21H19N4]+: Calc. m/z = 327.1605, found m/z = 327.1602.
DOI: 10.14272/relgreojjmtakh-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C21H18N4/c22-25-24-21-14-23-12-11-19(21)20-13-17-6-5-15-1-3-16(4-2-15)7-9-18(20)10-8-17/h1-4,8,10-14H,5-7,9H2

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 13C NMR (126 MHz, CDCl3, ppm) δ = 146.5 (1C, CAr), 141.4 (1C, CAr), 140.5 (1C, CAr), 140.0 (1C, CAr), 139.8 (1C, CAr), 139.7 (1C, CAr), 139.3 (1C, CAr), 135.1 (1C, CAr), 134.9 (1C, CAr), 134.6 (1C, CAr), 133.9 (1C, CAr), 133.5 (1C, CAr), 132.7 (1C, CAr), 132.3 (1C, CAr), 132.3 (1C, CAr), 129.7 (1C, CAr), 125.2 (1C, CAr), 35.6 (1C, CH2), 35.4 (1C, CH2), 35.3 (1C, CH2), 34.3 (1C, CH2).
DOI: 10.5281/zenodo.10527841
title: Example Files for pRESTO Vander Heiden et al, 2017

description: This example uses publicly available data from:

    Dysregulation of B Cell Repertoire Formation in Myasthenia Gravis Patients Revealed through Deep Sequencing    Vander Heiden JA, et al.    J Immunol. 2017 198(4):1460-1473. doi:10.4049/jimmunol.1601415.

which may be downloaded from the NCBI Sequence Read Archive under BioProject accession ID: PRJNA248475. For this example, we will use the first 25,000 sequences of sample HD09_N_AB8KB (accession: SRR4026043), which may downloaded using fastq-dump from the SRA Toolkit:

    fastq-dump --split-files -X 25000 SRR4026043

Primer sequences are available online from the protocols/AbSeq directory in the Immcantation repository.
DOI: 10.5281/zenodo.10527842
title: Example Files for pRESTO Vander Heiden et al, 2017

description: This example uses publicly available data from:

    Dysregulation of B Cell Repertoire Formation in Myasthenia Gravis Patients Revealed through Deep Sequencing    Vander Heiden JA, et al.    J Immunol. 2017 198(4):1460-1473. doi:10.4049/jimmunol.1601415.

which may be downloaded from the NCBI Sequence Read Archive under BioProject accession ID: PRJNA248475. For this example, we will use the first 25,000 sequences of sample HD09_N_AB8KB (accession: SRR4026043), which may downloaded using fastq-dump from the SRA Toolkit:

    fastq-dump --split-files -X 25000 SRR4026043

Primer sequences are available online from the protocols/AbSeq directory in the Immcantation repository.
DOI: 10.6084/m9.figshare.23505181
title: Additional file 3 of Generation of sheep with defined FecBB and TBXT mutations and porcine blastocysts with KCNJ5G151R/+ mutation using prime editing

description: Additional file 3: Table S1. The targeted deep sequencing-based analysis of the off-target site in BMPR1B-edited lambs. Table S2. The targeted deep sequencing-based analysis of the off-target sites in TBXT-edited lambs.
DOI: 10.6084/m9.figshare.23505181.v1
title: Additional file 3 of Generation of sheep with defined FecBB and TBXT mutations and porcine blastocysts with KCNJ5G151R/+ mutation using prime editing

description: Additional file 3: Table S1. The targeted deep sequencing-based analysis of the off-target site in BMPR1B-edited lambs. Table S2. The targeted deep sequencing-based analysis of the off-target sites in TBXT-edited lambs.
DOI: 10.6084/m9.figshare.14067995
title: Additional file 2 of FlsnRNA-seq: protoplasting-free full-length single-nucleus RNA profiling in plants

description: Additional file 2: Table S1. Cell type-specific genes identified by Shahan et al. are used for cell type annotation. Table S2. Cell type-enriched genes at heart stage identified by Schon and Nodine are used for cell type annotation. Table S3. All enriched genes for cluster 4.
DOI: 10.6084/m9.figshare.14067995.v1
title: Additional file 2 of FlsnRNA-seq: protoplasting-free full-length single-nucleus RNA profiling in plants

description: Additional file 2: Table S1. Cell type-specific genes identified by Shahan et al. are used for cell type annotation. Table S2. Cell type-enriched genes at heart stage identified by Schon and Nodine are used for cell type annotation. Table S3. All enriched genes for cluster 4.
DOI: 10.6084/m9.figshare.11446578
title: MOESM8 of Target sequencing reveals genetic diversity, population structure, core-SNP markers, and fruit shape-associated loci in pepper varieties

description: Additional file 8: Table S1. Classification of and information on the pepper varieties used in this study.
DOI: 10.6084/m9.figshare.11446578.v1
title: MOESM8 of Target sequencing reveals genetic diversity, population structure, core-SNP markers, and fruit shape-associated loci in pepper varieties

description: Additional file 8: Table S1. Classification of and information on the pepper varieties used in this study.
DOI: 10.6084/m9.figshare.14068007
title: Additional file 2 of Development of genome-wide polygenic risk scores for lipid traits and clinical applications for dyslipidemia, subclinical atherosclerosis, and diabetes cardiovascular complications among East Asians

description: Additional file 2: Table S1. Clinical characteristics of all participants. Table S2. Correlations of candidate polygenic risk scores with total cholesterol in validation datasets. Table S3. Correlations of candidate polygenic risk scores with triglyceride levels in validation datasets. Table S4. Correlations of candidate polygenic risk scores with HDL cholesterol in validation datasets. Table S5. Correlations of candidate polygenic risk scores with LDL cholesterol in validation datasets. Table S6. Correlations between measured lipid traits and polygenic risk scores derived by using the genome-wide significant variants identified in European populations. Table S7. Prediction ability of the best polygenic risk scores for abnormal lipid levels in testing datasets. Table S8. Prediction ability of the best polygenic risk scores for abnormal lipid levels in validation datasets. Table S9. Baseline and follow-up clinical characteristics of the adolescents included in the assessment of three-year changes for lipid traits. Table S10. Clinical characteristics of the adult women included in the assessment of intima-media thickness. Table S11. Clinical characteristics of the T2D patients included in the assessment of coronary heart disease. Table S12. Association between coronary heart disease and quintiles of polygenic risk scores in T2D patients. Table S13. Correlations of candidate polygenic risk scores with total cholesterol in T2D patients. Table S14. Correlations of candidate polygenic risk scores with triglyceride levels in T2D patients. Table S15. Correlations of candidate polygenic risk scores with HDL cholesterol in T2D patients. Table S16. Correlations of candidate polygenic risk scores with LDL cholesterol in T2D patients. Table S17. Baseline clinical characteristics of the adolescents stratified by the status of follow-up.
DOI: 10.15156/bio/sh3379791.08fu
title: SH3379791.08FU

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/sh550656.07fu
title: SH550656.07FU

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/sh550657.07fu
title: SH550657.07FU

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/sh3379792.08fu
title: SH3379792.08FU

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/sh3379793.08fu
title: SH3379793.08FU

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/sh550658.07fu
title: SH550658.07FU

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/sh550659.07fu
title: SH550659.07FU

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/sh3379794.08fu
title: SH3379794.08FU

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/sh3379795.08fu
title: SH3379795.08FU

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/sh550660.07fu
title: SH550660.07FU

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.