cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0201460.10fu
title: SH0201460.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0201461.10fu
title: SH0201461.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0201462.10fu
title: SH0201462.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0201463.10fu
title: SH0201463.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0201464.10fu
title: SH0201464.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.15726616
title: Diffraction images of mKindlin2 Se derivative

description: mk2 Del(168-217)(337-512)  20141220
DOI: 10.5281/zenodo.15726617
title: Diffraction images of mKindlin2 Se derivative

description: mk2 Del(168-217)(337-512)  20141220
DOI: 10.6084/m9.figshare.26693719.v1
title: Additional file 3 of Far-red light modulates grapevine growth by increasing leaf photosynthesis efficiency and triggering organ-specific transcriptome remodelling

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26693722
title: Additional file 4 of Far-red light modulates grapevine growth by increasing leaf photosynthesis efficiency and triggering organ-specific transcriptome remodelling

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.26693722.v1
title: Additional file 4 of Far-red light modulates grapevine growth by increasing leaf photosynthesis efficiency and triggering organ-specific transcriptome remodelling

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.25415044
title: Additional file 2 of Integration of transcriptomic analysis and multiple machine learning approaches identifies NAFLD progression-specific hub genes to reveal distinct genomic patterns and actionable targets

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.25415044.v1
title: Additional file 2 of Integration of transcriptomic analysis and multiple machine learning approaches identifies NAFLD progression-specific hub genes to reveal distinct genomic patterns and actionable targets

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26693725
title: Additional file 3 of Integration of transcriptomic analysis and multiple machine learning approaches identifies NAFLD progression-specific hub genes to reveal distinct genomic patterns and actionable targets

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26693725.v1
title: Additional file 3 of Integration of transcriptomic analysis and multiple machine learning approaches identifies NAFLD progression-specific hub genes to reveal distinct genomic patterns and actionable targets

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.25414889.v1
title: Additional file 1 of Orthoptera-TElib: a library of Orthoptera transposable elements for TE annotation

description: Additional file 1: Table S1. Re-annotated results by using TEsorter. (Figure 1 box V TE entries). Table S2. Re-annotated results by using DeepTE. (Figure 1 box VI TE entries). Table S3. Figure 1 box III TE entries. Table S4. Figure 1 box VII TE entries. Table S5. Annotation information for 24,021 TE entries in Orthoptera-TElib. (Figure 1 box VIII TE entries). Table S6. The 77 TE entries were annotated by both DeepTE and TEsorter. Table S7. DANTE re-annotation results of 45 conflicting TE entries. Table S8. TEclass2 re-annotation results of 45 conflicting TE entries. Table S9. The result of the final annotation of 45 conflicting TE entries. Table S10. Results of running RepeatMasker on the Xya riparia genome using the RepetModeler library. Table S11. Results of running RepeatMasker on the Xya riparia genome using the merged library. Table S12. Results of running RepeatMasker on the Gryllus bimaculatus genome using the RepetModeler library. Table S13. Results of running RepeatMasker on the Gryllus bimaculatus genome using the merged library. Table S14. Results of running RepeatMasker on the Laupala kohalensis genome using the RepetModeler library. Table S15. Results of running RepeatMasker on the Laupala kohalensis genome using the merged library.
DOI: 10.6084/m9.figshare.25414889
title: Additional file 1 of Orthoptera-TElib: a library of Orthoptera transposable elements for TE annotation

description: Additional file 1: Table S1. Re-annotated results by using TEsorter. (Figure 1 box V TE entries). Table S2. Re-annotated results by using DeepTE. (Figure 1 box VI TE entries). Table S3. Figure 1 box III TE entries. Table S4. Figure 1 box VII TE entries. Table S5. Annotation information for 24,021 TE entries in Orthoptera-TElib. (Figure 1 box VIII TE entries). Table S6. The 77 TE entries were annotated by both DeepTE and TEsorter. Table S7. DANTE re-annotation results of 45 conflicting TE entries. Table S8. TEclass2 re-annotation results of 45 conflicting TE entries. Table S9. The result of the final annotation of 45 conflicting TE entries. Table S10. Results of running RepeatMasker on the Xya riparia genome using the RepetModeler library. Table S11. Results of running RepeatMasker on the Xya riparia genome using the merged library. Table S12. Results of running RepeatMasker on the Gryllus bimaculatus genome using the RepetModeler library. Table S13. Results of running RepeatMasker on the Gryllus bimaculatus genome using the merged library. Table S14. Results of running RepeatMasker on the Laupala kohalensis genome using the RepetModeler library. Table S15. Results of running RepeatMasker on the Laupala kohalensis genome using the merged library.
DOI: 10.6084/m9.figshare.25422272.v1
title: Additional file 1 of The epitome of tailor-made short positively charged peptides against HCC via integrated pharmacology

description: Additional file 1: Table S1. The profiling of short positively charged peptides (SPCPs).
DOI: 10.6084/m9.figshare.26693808
title: Additional file 3 of The epitome of tailor-made short positively charged peptides against HCC via integrated pharmacology

description: Additional file 3: Table S3. The degree of value on targets.
DOI: 10.6084/m9.figshare.26693808.v1
title: Additional file 3 of The epitome of tailor-made short positively charged peptides against HCC via integrated pharmacology

description: Additional file 3: Table S3. The degree of value on targets.
DOI: 10.6084/m9.figshare.25422272
title: Additional file 1 of The epitome of tailor-made short positively charged peptides against HCC via integrated pharmacology

description: Additional file 1: Table S1. The profiling of short positively charged peptides (SPCPs).
DOI: 10.6084/m9.figshare.25422398
title: Additional file 2 of The epitome of tailor-made short positively charged peptides against HCC via integrated pharmacology

description: Additional file 2: Table S2. The profiling of key targets in this study.
DOI: 10.6084/m9.figshare.25422398.v1
title: Additional file 2 of The epitome of tailor-made short positively charged peptides against HCC via integrated pharmacology

description: Additional file 2: Table S2. The profiling of key targets in this study.
DOI: 10.6084/m9.figshare.26693811
title: Additional file 4 of The epitome of tailor-made short positively charged peptides against HCC via integrated pharmacology

description: Additional file 4: Table S4. The description of 16 signaling pathways related to occurrence and progression of HCC.
DOI: 10.6084/m9.figshare.26693811.v1
title: Additional file 4 of The epitome of tailor-made short positively charged peptides against HCC via integrated pharmacology

description: Additional file 4: Table S4. The description of 16 signaling pathways related to occurrence and progression of HCC.
DOI: 10.6084/m9.figshare.26693814
title: Additional file 5 of The epitome of tailor-made short positively charged peptides against HCC via integrated pharmacology

description: Additional file 5: Table S5. The list of potential SPCPs on NOD-like receptor signaling pathway.
DOI: 10.6084/m9.figshare.26693814.v1
title: Additional file 5 of The epitome of tailor-made short positively charged peptides against HCC via integrated pharmacology

description: Additional file 5: Table S5. The list of potential SPCPs on NOD-like receptor signaling pathway.
DOI: 10.6084/m9.figshare.26693817.v1
title: Additional file 6 of The epitome of tailor-made short positively charged peptides against HCC via integrated pharmacology

description: Additional file 6: Table S6. The docking score of key SPCPs and standard compounds.
DOI: 10.6084/m9.figshare.26693817
title: Additional file 6 of The epitome of tailor-made short positively charged peptides against HCC via integrated pharmacology

description: Additional file 6: Table S6. The docking score of key SPCPs and standard compounds.
DOI: 10.6084/m9.figshare.26693820
title: Additional file 7 of The epitome of tailor-made short positively charged peptides against HCC via integrated pharmacology

description: Additional file 7: Table S7. The DFT parameters of two key SPCPs and three standard drugs.
DOI: 10.6084/m9.figshare.26693820.v1
title: Additional file 7 of The epitome of tailor-made short positively charged peptides against HCC via integrated pharmacology

description: Additional file 7: Table S7. The DFT parameters of two key SPCPs and three standard drugs.
DOI: 10.6084/m9.figshare.26693910
title: Additional file 4 of Prevalence of vaccine-derived hepatitis B surface antibodies in children and adolescents in Germany: results from a population-based survey, 2014–2017

description: Supplementary Material 4.
DOI: 10.6084/m9.figshare.26693910.v1
title: Additional file 4 of Prevalence of vaccine-derived hepatitis B surface antibodies in children and adolescents in Germany: results from a population-based survey, 2014–2017

description: Supplementary Material 4.
DOI: 10.6084/m9.figshare.25422353
title: Additional file 1 of Characteristics of the oral and gastric microbiome in patients with early-stage intramucosal esophageal squamous cell carcinoma

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.25422353.v1
title: Additional file 1 of Characteristics of the oral and gastric microbiome in patients with early-stage intramucosal esophageal squamous cell carcinoma

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.25422291
title: Additional file 1 of The impact of the COVID-19 pandemic on neurosurgery in the elderly population in Sweden

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.25422291.v1
title: Additional file 1 of The impact of the COVID-19 pandemic on neurosurgery in the elderly population in Sweden

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.25422411
title: Additional file 2 of The impact of the COVID-19 pandemic on neurosurgery in the elderly population in Sweden

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.25422411.v1
title: Additional file 2 of The impact of the COVID-19 pandemic on neurosurgery in the elderly population in Sweden

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.25422327.v1
title: Additional file 1 of OralExplorer: a web server for exploring the mechanisms of oral inflammatory diseases

description: Additional file 1: Table S1. The details of 35 datasets that were relevant to our study on oral inflammatory diseases.
DOI: 10.6084/m9.figshare.25422327
title: Additional file 1 of OralExplorer: a web server for exploring the mechanisms of oral inflammatory diseases

description: Additional file 1: Table S1. The details of 35 datasets that were relevant to our study on oral inflammatory diseases.
DOI: 10.6084/m9.figshare.25422416
title: Additional file 2 of OralExplorer: a web server for exploring the mechanisms of oral inflammatory diseases

description: Additional file 2: Table S2. Immune cell types incorporated in different immune infiltration analysis methods.
DOI: 10.6084/m9.figshare.25422416.v1
title: Additional file 2 of OralExplorer: a web server for exploring the mechanisms of oral inflammatory diseases

description: Additional file 2: Table S2. Immune cell types incorporated in different immune infiltration analysis methods.
DOI: 10.6084/m9.figshare.26693973
title: Additional file 3 of OralExplorer: a web server for exploring the mechanisms of oral inflammatory diseases

description: Additional file 3: Table S3. Pathways involved in GSEA and ssGSEA, including 50 hallmark pathways, 3050 C2 canonical pathways, and 10,561 C5 gene ontology pathways
DOI: 10.6084/m9.figshare.26693973.v1
title: Additional file 3 of OralExplorer: a web server for exploring the mechanisms of oral inflammatory diseases

description: Additional file 3: Table S3. Pathways involved in GSEA and ssGSEA, including 50 hallmark pathways, 3050 C2 canonical pathways, and 10,561 C5 gene ontology pathways
DOI: 10.6084/m9.figshare.26693976
title: Additional file 4 of OralExplorer: a web server for exploring the mechanisms of oral inflammatory diseases

description: Additional file 4: Table S4. Results of differential gene analyses in multiple datasets associated with periodontitis.
DOI: 10.6084/m9.figshare.26693976.v1
title: Additional file 4 of OralExplorer: a web server for exploring the mechanisms of oral inflammatory diseases

description: Additional file 4: Table S4. Results of differential gene analyses in multiple datasets associated with periodontitis.
DOI: 10.6084/m9.figshare.25422419
title: Additional file 2 of City-scale monitoring of antibiotic resistance genes by digital PCR and metagenomics

description: Supplementary Material 2: Supplementary Tables
DOI: 10.6084/m9.figshare.25422419.v1
title: Additional file 2 of City-scale monitoring of antibiotic resistance genes by digital PCR and metagenomics

description: Supplementary Material 2: Supplementary Tables
DOI: 10.6084/m9.figshare.25422374
title: Additional file 1 of Including microbiome information in a multi-trait genomic evaluation: a case study on longitudinal growth performance in beef cattle

description: Additional file 1: Table S1. Description of the animals used in the study. Experimental design displaying the number of animals within each breed, diet and experiment.
DOI: 10.6084/m9.figshare.25422374.v1
title: Additional file 1 of Including microbiome information in a multi-trait genomic evaluation: a case study on longitudinal growth performance in beef cattle

description: Additional file 1: Table S1. Description of the animals used in the study. Experimental design displaying the number of animals within each breed, diet and experiment.
DOI: 10.6084/m9.figshare.25422422
title: Additional file 2 of Including microbiome information in a multi-trait genomic evaluation: a case study on longitudinal growth performance in beef cattle

description: Additional file 2: Table S2. Heritabilities of the microbiome. Genomic parameter estimates for the 3631 alr-transformed microbial gene abundances and genetic parameters estimates for 100 randomly selected alr-transformed abundances of microbial genes when using different degrees of freedom in the chi-squared priors for the random effect variances.
DOI: 10.6084/m9.figshare.25422422.v1
title: Additional file 2 of Including microbiome information in a multi-trait genomic evaluation: a case study on longitudinal growth performance in beef cattle

description: Additional file 2: Table S2. Heritabilities of the microbiome. Genomic parameter estimates for the 3631 alr-transformed microbial gene abundances and genetic parameters estimates for 100 randomly selected alr-transformed abundances of microbial genes when using different degrees of freedom in the chi-squared priors for the random effect variances.
DOI: 10.6084/m9.figshare.26694057
title: Additional file 5 of Including microbiome information in a multi-trait genomic evaluation: a case study on longitudinal growth performance in beef cattle

description: Additional file 5: Table S3. Results from the bivariate genomic models between growth traits and microbiome traits. Genetic parameters estimates of alr-transformed abundances of microbial genes and each average daily gain when using different degrees of freedom in the inverse Wishart distributions for the genomic effects.
DOI: 10.6084/m9.figshare.26694057.v1
title: Additional file 5 of Including microbiome information in a multi-trait genomic evaluation: a case study on longitudinal growth performance in beef cattle

description: Additional file 5: Table S3. Results from the bivariate genomic models between growth traits and microbiome traits. Genetic parameters estimates of alr-transformed abundances of microbial genes and each average daily gain when using different degrees of freedom in the inverse Wishart distributions for the genomic effects.
DOI: 10.6084/m9.figshare.26694063
title: Additional file 7 of Including microbiome information in a multi-trait genomic evaluation: a case study on longitudinal growth performance in beef cattle

description: Additional file 7: Table S4. Identification of which rumen uncultured genomes carry the microbial genes of interest. Proteins clustered in KEGG orthologous groups (KO) of interest for the microbiome-driven breeding strategy to increase average daily gains at different stages identified in rumen uncultured genomes (RUG).
DOI: 10.18739/a2b853j48
title: Millimeter Cloud Radar Deployed at Eureka Nunavut Canada - Raw Data Files

description: Daily NetCDF files from the Millimeter Cloud Radar deployed at Eureka, Nunavut, Canada. Fields include reflectivity, Doppler velocity and spectral width. Derived quantities include cloud layer information (e.g., cloud top and bottom). Instrument deployed by National Oceanic and Atmospheric Administration (NOAA) Earth System Research Laboratory (ESRL) Physical Sciences Division (PSD). This dataset is an ongoing collection and is updated daily. Matt Shupe is the PI for this data. As an additional resource for cloud properties derived from a combination of Millimeter Cloud Radar (MMCR), High Spectral Resolution Lidar (HSRL), and Atmospheric Emitted Radiance Interferometer (AERI) data, go to the following location within the CADIS Portal: Atmosphere/Cloud Properties Across the Arctic Basin from Surface and Satellite Measurements/Cloud occurrence and layering at Arctic atmospheric observatories. Contact Matt Shupe at Matthew.Shupe@noaa.gov for questions about the data. This is an International Arctic Systems for Observing the Atmosphere (IASOA) data set.