cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0200069.10fu
title: SH0200069.10FU

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/sh0200070.10fu
title: SH0200070.10FU

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/sh0200071.10fu
title: SH0200071.10FU

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/sh0200072.10fu
title: SH0200072.10FU

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/sh0200073.10fu
title: SH0200073.10FU

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/sh0200074.10fu
title: SH0200074.10FU

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: 10.6084/m9.figshare.25097361.v1
title: Additional file 2 of Navigating the doctor-patient-AI relationship - a mixed-methods study of physician attitudes toward artificial intelligence in primary care

description: Supplementary Material 2: Questions stems from the semi-structured interview
DOI: 10.6084/m9.figshare.25097361
title: Additional file 2 of Navigating the doctor-patient-AI relationship - a mixed-methods study of physician attitudes toward artificial intelligence in primary care

description: Supplementary Material 2: Questions stems from the semi-structured interview
DOI: 10.6084/m9.figshare.25097366
title: Additional file 2 of No causal association between allergic rhinitis and migraine: a Mendelian randomization study

description: Additional file 2: Figure S1. Funnel plot of the MR analysis. A AR on migraine; B AR on MA; C AR on MO; D migraine on AR; E MA on AR; F MO on AR. Figure S2. Estimated causal effects of migraine on AR using CAUSE analysis. A Results of expected log pointwise posterior density (ELPD) and plots of the posterior distributions of the parameters for the sharing model and causal model; B Scatter plots of the data showing for each model, the probability that each variant is acting through the shared factor and the contribution of each variant to the ELPD test statistic. Figure S3. Estimated causal effects of MA on AR using CAUSE analysis. A Results of ELPD and plots of the posterior distributions of the parameters for the sharing model and causal model. B Scatter plots of the data showing for each model, the probability that each variant is acting through the shared factor and the contribution of each variant to the ELPD test statistic. Figure S4. Estimated causal effects of MO on AR using CAUSE analysis. A Results of ELPD and plots of the posterior distributions of the parameters for the sharing model and causal model. B Scatter plots of the data showing for each model, the probability that each variant is acting through the shared factor and the contribution of each variant to the ELPD test statistic.
DOI: 10.6084/m9.figshare.25097366.v1
title: Additional file 2 of No causal association between allergic rhinitis and migraine: a Mendelian randomization study

description: Additional file 2: Figure S1. Funnel plot of the MR analysis. A AR on migraine; B AR on MA; C AR on MO; D migraine on AR; E MA on AR; F MO on AR. Figure S2. Estimated causal effects of migraine on AR using CAUSE analysis. A Results of expected log pointwise posterior density (ELPD) and plots of the posterior distributions of the parameters for the sharing model and causal model; B Scatter plots of the data showing for each model, the probability that each variant is acting through the shared factor and the contribution of each variant to the ELPD test statistic. Figure S3. Estimated causal effects of MA on AR using CAUSE analysis. A Results of ELPD and plots of the posterior distributions of the parameters for the sharing model and causal model. B Scatter plots of the data showing for each model, the probability that each variant is acting through the shared factor and the contribution of each variant to the ELPD test statistic. Figure S4. Estimated causal effects of MO on AR using CAUSE analysis. A Results of ELPD and plots of the posterior distributions of the parameters for the sharing model and causal model. B Scatter plots of the data showing for each model, the probability that each variant is acting through the shared factor and the contribution of each variant to the ELPD test statistic.
DOI: 10.6084/m9.figshare.25097372
title: Additional file 2 of Compound heterozygous WNT10A missense variations exacerbated the tooth agenesis caused by hypohidrotic ectodermal dysplasia

description: Additional file 2.
DOI: 10.6084/m9.figshare.25097372.v1
title: Additional file 2 of Compound heterozygous WNT10A missense variations exacerbated the tooth agenesis caused by hypohidrotic ectodermal dysplasia

description: Additional file 2.
DOI: 10.6084/m9.figshare.25097375
title: Additional file 2 of Genome-wide identification and expression characterization of the GH3 gene family of tea plant (Camellia sinensis)

description: Supplementary Material 2: Table S6. Binding Site Prediction Results
DOI: 10.6084/m9.figshare.25097375.v1
title: Additional file 2 of Genome-wide identification and expression characterization of the GH3 gene family of tea plant (Camellia sinensis)

description: Supplementary Material 2: Table S6. Binding Site Prediction Results
DOI: 10.21227/1g5n-vd67
title: Prediction of biochemical prostate cancer recurrence from any Gleason score using robust tissue structure and clinically available information

description: Biopsy information and protein Prostate-Specific Antigen (PSA) levels are the most robust information available to oncologists worldwide to diagnose and decide therapies for prostate cancer patients. However, prostate cancer presents a high risk of recurrence, and the technologies used to evaluate it demand more complex resources. This paper aims to predict Biochemical Recurrence (BCR) based on Whole Slide Images (WSI) of biopsies, Gleason scores, and PSA levels. A U-net model was used to segment phenotypic features and trained on images from the Prostate Cancer Grade Assessment (PANDA) database to segment tumorous regions from pre-processed and scored WSI of biopsies. Then, the model was tested on data from publicly available repositories achieving an Intersection over Union of 87%. Tissue features, Gleason scores, and PSA levels provided high accuracy and precision in classifying patients according to their risk of presenting recurrence, for any Gleason score sampled. The trained classifier model demonstrated a 76% relative accuracy, and a precision of 69.7% for patients experiencing recurrences before 24 months. Our results provide a robust, cost-efficient approach using already available information to predict the risk of BCR.
DOI: 10.6084/m9.figshare.25107878
title: Additional file 2 of Migrasomal autophagosomes relieve endoplasmic reticulum stress in glioblastoma cells

description: Additional file 2. Raw data points for n &lt; 6 data values. A few more additional raw data points are also provided.
DOI: 10.6084/m9.figshare.25107878.v1
title: Additional file 2 of Migrasomal autophagosomes relieve endoplasmic reticulum stress in glioblastoma cells

description: Additional file 2. Raw data points for n &lt; 6 data values. A few more additional raw data points are also provided.
DOI: 10.6084/m9.figshare.25101112
title: Additional file 1 of Genomic characterization and immunotherapy for microsatellite instability-high in cholangiocarcinoma

description: Additional file 1: Table S1. Fifteen pathways in cancer. Table S3. Individual Clinicopathological characteristics of 887 patients with cholangiocarcinoma. Table S4. Genomic alterations in 48 patients with MSI-H cholangiocarcinoma. Table S5. Different gene alterations in MSI-H and MSS cancer. Table S6. Different pathway alterations in MSI-H and MSS cancer.
DOI: 10.6084/m9.figshare.25101112.v1
title: Additional file 1 of Genomic characterization and immunotherapy for microsatellite instability-high in cholangiocarcinoma

description: Additional file 1: Table S1. Fifteen pathways in cancer. Table S3. Individual Clinicopathological characteristics of 887 patients with cholangiocarcinoma. Table S4. Genomic alterations in 48 patients with MSI-H cholangiocarcinoma. Table S5. Different gene alterations in MSI-H and MSS cancer. Table S6. Different pathway alterations in MSI-H and MSS cancer.
DOI: 10.20372/nadre:519
title: 2018/19 ETHIOPIAN SOCIOECONOMIC SURVEY- WAVE 4

description: 2018/19 ETHIOPIAN SOCIOECONOMIC SURVEY- WAVE 4
DOI: 10.20372/nadre:520
title: 2018/19 ETHIOPIAN SOCIOECONOMIC SURVEY- WAVE 4

description: 2018/19 ETHIOPIAN SOCIOECONOMIC SURVEY- WAVE 4
DOI: 10.6084/m9.figshare.25107705
title: Additional file 1 of Correlations between genetically predicted lipid-lowering drug targets and inflammatory bowel disease

description: Additional file 1: Table S1. Phenotype descriptions and distributions. Table S2A. Characteristics of lipid-lowering genetics variants in target genes from UK Biobank database. Table S2B. Characteristics of lipid-lowering genetics variants in target genes from Willer et al. Table S3. Statistical power estimates for drug-target MR analyses. Table S4. Heterogeneity and pleiotropy tests of instrument effects (drug targets from UK Biobank database). Table S5. External validation of the causal relationship between lipid-lowering drug genetic variants and IBD IVW-MR analysis in different datasets combinations. Table S6. Heterogeneity and pleiotropy tests of instrument effects for external validation. Table S7. Association of genetically proxied inflammmatory bowel diseases with risk of lipids traits. Table S8. Causal effects and heterogeneity and pleiotropy tests of genetically predicted gut microbiota on inflammatory bowel diseases. Table S9. The relationship between genetic mimicry of lipid-lowering drugs that can affect Inflammatory bowel disease and the microbiota that can affect Inflammatory bowel disease.
DOI: 10.6084/m9.figshare.25107705.v1
title: Additional file 1 of Correlations between genetically predicted lipid-lowering drug targets and inflammatory bowel disease

description: Additional file 1: Table S1. Phenotype descriptions and distributions. Table S2A. Characteristics of lipid-lowering genetics variants in target genes from UK Biobank database. Table S2B. Characteristics of lipid-lowering genetics variants in target genes from Willer et al. Table S3. Statistical power estimates for drug-target MR analyses. Table S4. Heterogeneity and pleiotropy tests of instrument effects (drug targets from UK Biobank database). Table S5. External validation of the causal relationship between lipid-lowering drug genetic variants and IBD IVW-MR analysis in different datasets combinations. Table S6. Heterogeneity and pleiotropy tests of instrument effects for external validation. Table S7. Association of genetically proxied inflammmatory bowel diseases with risk of lipids traits. Table S8. Causal effects and heterogeneity and pleiotropy tests of genetically predicted gut microbiota on inflammatory bowel diseases. Table S9. The relationship between genetic mimicry of lipid-lowering drugs that can affect Inflammatory bowel disease and the microbiota that can affect Inflammatory bowel disease.
DOI: 10.6084/m9.figshare.25107795
title: Additional file 1 of Genome-wide screen identifies new set of genes for improved heterologous laccase expression in Saccharomyces cerevisiae

description: Supplementary Material 1: Table S1. Hits identified in the overlay assay screen.
DOI: 10.6084/m9.figshare.25107795.v1
title: Additional file 1 of Genome-wide screen identifies new set of genes for improved heterologous laccase expression in Saccharomyces cerevisiae

description: Supplementary Material 1: Table S1. Hits identified in the overlay assay screen.
DOI: 10.6084/m9.figshare.25107881
title: Additional file 2 of Genome-wide screen identifies new set of genes for improved heterologous laccase expression in Saccharomyces cerevisiae

description: Supplementary Material 2: Table S2. Laccase activity in the liquid assay.
DOI: 10.6084/m9.figshare.25107881.v1
title: Additional file 2 of Genome-wide screen identifies new set of genes for improved heterologous laccase expression in Saccharomyces cerevisiae

description: Supplementary Material 2: Table S2. Laccase activity in the liquid assay.
DOI: 10.6084/m9.figshare.26673864
title: Additional file 3 of Genome-wide screen identifies new set of genes for improved heterologous laccase expression in Saccharomyces cerevisiae

description: Supplementary Material 3: Table S3. Strains, plasmids and oligos used in this study.
DOI: 10.6084/m9.figshare.26673864.v1
title: Additional file 3 of Genome-wide screen identifies new set of genes for improved heterologous laccase expression in Saccharomyces cerevisiae

description: Supplementary Material 3: Table S3. Strains, plasmids and oligos used in this study.
DOI: 10.5281/zenodo.13338195
title: this is only the try

description: This is only a try
DOI: 10.5281/zenodo.13338196
title: this is only the try

description: This is only a try
DOI: 10.15468/dl.mygvzp
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chaeropus ecaudatus (Ogilby, 1838)"
 ]
}

 The dataset includes 43 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072812-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25107813
title: Additional file 1 of Full-length isoform concatenation sequencing to resolve cancer transcriptome complexity

description: Additional file 1. Summary of PacBio HiFi and SKERA read metrics.
DOI: 10.6084/m9.figshare.25107813.v1
title: Additional file 1 of Full-length isoform concatenation sequencing to resolve cancer transcriptome complexity

description: Additional file 1. Summary of PacBio HiFi and SKERA read metrics.
DOI: 10.6084/m9.figshare.25107890
title: Additional file 2 of Full-length isoform concatenation sequencing to resolve cancer transcriptome complexity

description: Additional file 2. Read counts for the SIRV isoform and long SIRV transcript detected in HBR_SIRV_Con and HBR_SIRV_Non samples.
DOI: 10.6084/m9.figshare.25107890.v1
title: Additional file 2 of Full-length isoform concatenation sequencing to resolve cancer transcriptome complexity

description: Additional file 2. Read counts for the SIRV isoform and long SIRV transcript detected in HBR_SIRV_Con and HBR_SIRV_Non samples.
DOI: 10.6084/m9.figshare.26673891
title: Additional file 3 of Full-length isoform concatenation sequencing to resolve cancer transcriptome complexity

description: Additional file 3. SQANTI3 intergenic isoform read lengths.
DOI: 10.6084/m9.figshare.26673891.v1
title: Additional file 3 of Full-length isoform concatenation sequencing to resolve cancer transcriptome complexity

description: Additional file 3. SQANTI3 intergenic isoform read lengths.
DOI: 10.6084/m9.figshare.26673894
title: Additional file 4 of Full-length isoform concatenation sequencing to resolve cancer transcriptome complexity

description: Additional file 4. Lowly-expressed transcripts characterized as those transcripts with a TPM value equal to 0.5 identified in three replicates of HBR_SIRV short-read RNA-Seq.
DOI: 10.6084/m9.figshare.28874381.v4
title: Metasomatized mantle source for kalsilite-bearing olivine nephelinites: Evidence from geochemistry and oxygen isotopes of olivine, and whole-rock Os isotopes

description: Metasomatized mantle source for kalsilite-bearing olivine nephelinites: Evidence from geochemistry and oxygen isotopes of olivine, and whole-rock Os isotopes
DOI: 10.15468/dl.vmzq54
title: Occurrence Download

description: A dataset containing 657 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alpheus formosus"
 ]
}

 The dataset includes 657 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039806-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.apl.30165826
title: Supplementary Material

description: Supplementary Material with profilometric data
DOI: 10.60893/figshare.apl.30165826.v1
title: Supplementary Material

description: Supplementary Material with profilometric data
DOI: 10.15468/dl.w6qgh7
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Planorbarius corneus",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 69 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039808-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9w5eds
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Planorbarius corneus",
 "Country is Cyprus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039807-250920141307145/datasets/export for details.
DOI: 10.15468/dl.jn9bjg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Planorbarius corneus",
 "Country is Nepal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039809-250920141307145/datasets/export for details.