cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fs2b6z
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((146.512226 -36.521715, 146.521209 -36.521715, 146.521209 -36.514978, 146.512226 -36.514978, 146.512226 -36.521715)), ((146.512226 -36.521715, 146.50998 -36.521715, 146.50998 -36.526207, 146.512226 -36.526207, 146.512226 -36.521715)))"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065644-240626123714530/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.26587395
title: Additional file 1 of Benefits of applying molecular barcoding systems are not uniform across different genomic applications

description: Additional file 1. Supplementary Table 1.
DOI: 10.6084/m9.figshare.26587395.v1
title: Additional file 1 of Benefits of applying molecular barcoding systems are not uniform across different genomic applications

description: Additional file 1. Supplementary Table 1.
DOI: 10.6084/m9.figshare.26641414
title: Additional file 3 of Ancient allopatry and ecological divergence act together to promote plant diversity in mountainous regions: evidence from comparative phylogeography of two genera in the Sino-Himalayan region

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26641414.v1
title: Additional file 3 of Ancient allopatry and ecological divergence act together to promote plant diversity in mountainous regions: evidence from comparative phylogeography of two genera in the Sino-Himalayan region

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26641453
title: Additional file 1 of In silico analysis of prognostic and diagnostic significance of target genes from prostate cancer cell lines derived exomicroRNAs

description: Additional file 1. Fold change of aberrantly expressed exomiRNAs resulted from comparations of: LNCaP vs RWPE-1; PC-3 vs RWPE-1, and (LNCaP and PC-3) vs RWPE-1.
DOI: 10.6084/m9.figshare.26641453.v1
title: Additional file 1 of In silico analysis of prognostic and diagnostic significance of target genes from prostate cancer cell lines derived exomicroRNAs

description: Additional file 1. Fold change of aberrantly expressed exomiRNAs resulted from comparations of: LNCaP vs RWPE-1; PC-3 vs RWPE-1, and (LNCaP and PC-3) vs RWPE-1.
DOI: 10.6084/m9.figshare.26641465
title: Additional file 5 of In silico analysis of prognostic and diagnostic significance of target genes from prostate cancer cell lines derived exomicroRNAs

description: Additional file 5: Figure S1. miRNeT Schematic representation of the interaction network of exomiRNAs with their targets-genes. a Network of exomiRNAs target genes regulated by at least 21/36 downregulated miRNAs in PCa cells vs RWPE-1 cells. b Network of exomiRNAs target genes regulated by at least 8/14 exomiRNAs downregulated miRNAs in PC-3 vs LNCaP cell line. c Network of exomiRNAs target genes regulated by at least 29/53 exomiRNAs downregulated miRNAs in PC-3 vs LNCaP cell line. Figure S2. Spearman correlation matrix. The Correlation map was plotted using significance levels for Spearman´s test performed with deregulated exomiRNAs and selected target genes. a Diagnostic study. b Prognostic study. Positive correlations are displayed in grading-blue and negative correlations in grading-red colour. Correlations with p-value ≥0.05 are considered insignificant and are left blank. Colour intensity and the size of the circle are proportional to the correlation coefficients. On the right side of the correlogram, the legend colour shows the correlation coefficients. Figure S3. a Boxplot showing mRNAs expression of CDK6, TNRC6B, AGO1, AGO3, and TNRC6A in prostate tumour tissue samples of patients stratified according to the ISUP-GG classification retrieved from the TCGA-PRAD database. Box plots show the median, quartiles, and extreme values. Different lettering over the boxes indicates statistical differences. Significant differences are established at p &lt; 0.05. b Boxplot showing mRNA expression of CDK6, TNRC6B, and AGO1 in prostate tumour tissue samples of patients stratified according to affected lymph nodes split into N0 (no cancer in nearby lymph nodes) and N1 (cancer cells in 1 nearby lymph node) as stated in TCGA-PRAD database. Box plots show the median, quartiles, and extreme values. Different letter over the boxes indicates statistical differences. Significant differences are established at p &lt; 0.05.
DOI: 10.6084/m9.figshare.26641465.v1
title: Additional file 5 of In silico analysis of prognostic and diagnostic significance of target genes from prostate cancer cell lines derived exomicroRNAs

description: Additional file 5: Figure S1. miRNeT Schematic representation of the interaction network of exomiRNAs with their targets-genes. a Network of exomiRNAs target genes regulated by at least 21/36 downregulated miRNAs in PCa cells vs RWPE-1 cells. b Network of exomiRNAs target genes regulated by at least 8/14 exomiRNAs downregulated miRNAs in PC-3 vs LNCaP cell line. c Network of exomiRNAs target genes regulated by at least 29/53 exomiRNAs downregulated miRNAs in PC-3 vs LNCaP cell line. Figure S2. Spearman correlation matrix. The Correlation map was plotted using significance levels for Spearman´s test performed with deregulated exomiRNAs and selected target genes. a Diagnostic study. b Prognostic study. Positive correlations are displayed in grading-blue and negative correlations in grading-red colour. Correlations with p-value ≥0.05 are considered insignificant and are left blank. Colour intensity and the size of the circle are proportional to the correlation coefficients. On the right side of the correlogram, the legend colour shows the correlation coefficients. Figure S3. a Boxplot showing mRNAs expression of CDK6, TNRC6B, AGO1, AGO3, and TNRC6A in prostate tumour tissue samples of patients stratified according to the ISUP-GG classification retrieved from the TCGA-PRAD database. Box plots show the median, quartiles, and extreme values. Different lettering over the boxes indicates statistical differences. Significant differences are established at p &lt; 0.05. b Boxplot showing mRNA expression of CDK6, TNRC6B, and AGO1 in prostate tumour tissue samples of patients stratified according to affected lymph nodes split into N0 (no cancer in nearby lymph nodes) and N1 (cancer cells in 1 nearby lymph node) as stated in TCGA-PRAD database. Box plots show the median, quartiles, and extreme values. Different letter over the boxes indicates statistical differences. Significant differences are established at p &lt; 0.05.
DOI: 10.6084/m9.figshare.26641468
title: Additional file 6 of In silico analysis of prognostic and diagnostic significance of target genes from prostate cancer cell lines derived exomicroRNAs

description: Additional file 6: Table S1. Patients’ characteristic used for diagnosis approach analysis. Table S2. Prediction of microRNA binding sites by miRWalk. Table S3. Patients’ characteristic used for prognosis approach analysis.
DOI: 10.6084/m9.figshare.26641468.v1
title: Additional file 6 of In silico analysis of prognostic and diagnostic significance of target genes from prostate cancer cell lines derived exomicroRNAs

description: Additional file 6: Table S1. Patients’ characteristic used for diagnosis approach analysis. Table S2. Prediction of microRNA binding sites by miRWalk. Table S3. Patients’ characteristic used for prognosis approach analysis.
DOI: 10.6084/m9.figshare.26587329
title: Additional file 2 of Evolution and epidemic success of Mycobacterium tuberculosis in eastern China: evidence from a prospective study

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26587329.v1
title: Additional file 2 of Evolution and epidemic success of Mycobacterium tuberculosis in eastern China: evidence from a prospective study

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26587332
title: Additional file 3 of Evolution and epidemic success of Mycobacterium tuberculosis in eastern China: evidence from a prospective study

description: Supplementary Material 3
DOI: 10.15468/dl.t8rsjc
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.823153 -36.514978, 148.823153 -36.519469, 148.827645 -36.519469, 148.827645 -36.517224, 148.829891 -36.517224, 148.829891 -36.514978, 148.823153 -36.514978))"
 ]
}

 The dataset includes 77 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065646-240626123714530/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.26587332.v1
title: Additional file 3 of Evolution and epidemic success of Mycobacterium tuberculosis in eastern China: evidence from a prospective study

description: Supplementary Material 3
DOI: 10.15468/dl.r6prvq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.57325 -32.216519, 149.57325 -32.22101, 149.571004 -32.22101, 149.571004 -32.223256, 149.577742 -32.223256, 149.577742 -32.22101, 149.579987 -32.22101, 149.579987 -32.216519, 149.57325 -32.216519))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065647-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26587143.v1
title: Additional file 2 of Probing pathways by which rhynchophylline modifies sleep using spatial transcriptomics

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26587143
title: Additional file 2 of Probing pathways by which rhynchophylline modifies sleep using spatial transcriptomics

description: Supplementary Material 2
DOI: 10.15468/dl.5zd7uu
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065648-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7jjyrc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.400943 -32.218764, 148.400943 -32.22101, 148.403189 -32.22101, 148.403189 -32.218764, 148.400943 -32.218764))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065650-240626123714530/datasets/export for details.
DOI: 10.15468/dl.kwhcky
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.836628 -36.523961, 148.836628 -36.526207, 148.84112 -36.526207, 148.84112 -36.528453, 148.845611 -36.528453, 148.845611 -36.523961, 148.836628 -36.523961))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065649-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13312624
title: Fürstenfeldbruck Sonnen-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.6084/m9.figshare.26587149
title: Additional file 4 of Probing pathways by which rhynchophylline modifies sleep using spatial transcriptomics

description: Supplementary Material 4
DOI: 10.15468/dl.tftvct
title: Occurrence Download

description: A dataset containing 334 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pan troglodytes troglodytes"
 ]
}

 The dataset includes 334 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008220-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tmemrw
title: Occurrence Download

description: A dataset containing 9953 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Botany (UPS)",
 "TaxonKey is Arthoniales"
 ]
}

 The dataset includes 9953 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008221-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0184334.10fu
title: SH0184334.10FU

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/sh0184335.10fu
title: SH0184335.10FU

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/sh0184336.10fu
title: SH0184336.10FU

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/sh0184337.10fu
title: SH0184337.10FU

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/sh0184338.10fu
title: SH0184338.10FU

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/sh0184339.10fu
title: SH0184339.10FU

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/sh0184340.10fu
title: SH0184340.10FU

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/sh0184341.10fu
title: SH0184341.10FU

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/sh0184342.10fu
title: SH0184342.10FU

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.