cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0191952.10fu
title: SH0191952.10FU

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/sh0191953.10fu
title: SH0191953.10FU

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/sh0191954.10fu
title: SH0191954.10FU

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/sh0191955.10fu
title: SH0191955.10FU

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/sh0191956.10fu
title: SH0191956.10FU

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/sh0191957.10fu
title: SH0191957.10FU

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: 10.15468/dl.fyc6wb
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aphis citricidus (Kirkaldy, 1907)"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004621-150831095807960/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjxa9s
title: Occurrence Download

description: A dataset containing 214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Poa gymnantha Pilg."
 ]
}

 The dataset includes 214 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034600-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhzunc
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Philodendron appunii G.S.Bunting"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004621-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t8hy85
title: Occurrence Download

description: A dataset containing 117411 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rattus rattus (Linnaeus, 1758)"
 ]
}

 The dataset includes 117411 records from 571 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049161-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsqbhd
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ambystoma altamirani Dugès, 1895",
 "Country is Mexico",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 68 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004621-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8t4yje
title: Occurrence Download

description: A dataset containing 17922535 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cardinalis cardinalis (Linnaeus, 1758)"
 ]
}

 The dataset includes 17922535 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034604-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8etjhy
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cipangopaludina chinensis (Griffith & Pidgeon, 1865)",
 "Country is United States of America",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 112 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004621-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ed72ca
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Peces de la Ecoreserva Apiay (Villavicencio, Meta) - Proyecto Ecoreservas"
 ]
}

 The dataset includes 236 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043817-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvqnm4
title: Occurrence Download

description: A dataset containing 1681 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Country is Colombia",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-104.33 -11.87,-104.33 22.67,-48.96 22.67,-48.96 -11.87,-104.33 -11.87))",
 "StateProvince is Santander"
 ]
}

 The dataset includes 1681 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004621-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zbb8v
title: Occurrence Download

description: A dataset containing 10392850 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is China"
 ]
}

 The dataset includes 10392850 records from 5193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049673-231002084531237/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.26734152.v1
title: Additional file 1 of Integration of transcriptomics, metabolomics, and hormone analysis revealed the formation of lesion spots inhibited by GA and CTK was related to cell death and disease resistance in bread wheat (Triticum aestivum L.)

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26734155
title: Additional file 2 of Integration of transcriptomics, metabolomics, and hormone analysis revealed the formation of lesion spots inhibited by GA and CTK was related to cell death and disease resistance in bread wheat (Triticum aestivum L.)

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26734155.v1
title: Additional file 2 of Integration of transcriptomics, metabolomics, and hormone analysis revealed the formation of lesion spots inhibited by GA and CTK was related to cell death and disease resistance in bread wheat (Triticum aestivum L.)

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26734158
title: Additional file 3 of Integration of transcriptomics, metabolomics, and hormone analysis revealed the formation of lesion spots inhibited by GA and CTK was related to cell death and disease resistance in bread wheat (Triticum aestivum L.)

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26734158.v1
title: Additional file 3 of Integration of transcriptomics, metabolomics, and hormone analysis revealed the formation of lesion spots inhibited by GA and CTK was related to cell death and disease resistance in bread wheat (Triticum aestivum L.)

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26734161
title: Additional file 4 of Integration of transcriptomics, metabolomics, and hormone analysis revealed the formation of lesion spots inhibited by GA and CTK was related to cell death and disease resistance in bread wheat (Triticum aestivum L.)

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.26734161.v1
title: Additional file 4 of Integration of transcriptomics, metabolomics, and hormone analysis revealed the formation of lesion spots inhibited by GA and CTK was related to cell death and disease resistance in bread wheat (Triticum aestivum L.)

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.26734164
title: Additional file 5 of Integration of transcriptomics, metabolomics, and hormone analysis revealed the formation of lesion spots inhibited by GA and CTK was related to cell death and disease resistance in bread wheat (Triticum aestivum L.)

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.26734167
title: Additional file 6 of Integration of transcriptomics, metabolomics, and hormone analysis revealed the formation of lesion spots inhibited by GA and CTK was related to cell death and disease resistance in bread wheat (Triticum aestivum L.)

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.26734164.v1
title: Additional file 5 of Integration of transcriptomics, metabolomics, and hormone analysis revealed the formation of lesion spots inhibited by GA and CTK was related to cell death and disease resistance in bread wheat (Triticum aestivum L.)

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.26734167.v1
title: Additional file 6 of Integration of transcriptomics, metabolomics, and hormone analysis revealed the formation of lesion spots inhibited by GA and CTK was related to cell death and disease resistance in bread wheat (Triticum aestivum L.)

description: Supplementary Material 6
DOI: 10.15468/dl.a7bpb3
title: Occurrence Download

description: A dataset containing 2533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Russian Federation, Korea (Democratic People’s Republic of), China, Japan, Mongolia, Kazakhstan)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron dauricum L."
 ]
}

 The dataset includes 2533 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068481-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e42f93
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.455462 -33.197933, 147.455462 -33.202424, 147.457707 -33.202424, 147.457707 -33.197933, 147.455462 -33.197933))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068482-240626123714530/datasets/export for details.
DOI: 10.25934/pr00010436
title: Data Challenge: Candida Antifungal Breakpoint Explorer (CABE)

description: Petrified Bugs LLC is excited to contribute to the AMR Data Challenge with a project led by their founder, a clinical microbiologist focused on advancing infectious disease diagnostics. This project will analyze Candida species from the Pfizer Atlas antifungal dataset, including Candida albicans, dubliniensis, glabrata, krusei, tropicalis, auris, lusitaniae, and parapsilosis, utilizing key antifungals such as micafungin, fluconazole, and amphotericin B.

The project's goals include:

1. Integrated Web Application Development: This tool will serve as a dynamic lookup table for antifungal interpretations based on FDA, CLSI, and EUCAST standards, centralizing essential data in a user-friendly interface to eliminate current inefficiencies faced by healthcare professionals.

2. Trend Analysis of Antifungal Resistance: Utilizing Pfizer’s extensive data, visual analytics will be developed to track resistance trends over time and by region, providing insights into regional efficacy and resistance patterns to aid global health strategies.

3. Comprehensive Antibiograms by Country: The project will produce detailed antibiograms mapping the sensitivity and resistance profiles of various Candida species, focusing on less common species often underrepresented in local antibiograms, thus filling a significant gap in medical knowledge.

4. Machine Learning Predictions of Resistance Patterns: Advanced machine learning algorithms will be used to develop predictive models for forecasting antifungal resistance trends by species, enhancing the ability to proactively inform treatment strategies and anticipate resistance patterns.

Through this data challenge, Petrified Bugs LLC aims to advance antibiotic stewardship and deepen the understanding of antifungal resistance globally. By providing healthcare providers with up-to-date, actionable data through innovative technological solutions, this project is poised to improve therapeutic outcomes for both prevalent and rare fungal infections, empowering informed antimicrobial stewardship across diverse healthcare settings.
DOI: 10.6084/m9.figshare.26734341
title: Additional file 1 of Integrated pathway mining and selection of an artificial CYP79-mediated bypass to improve benzylisoquinoline alkaloid biosynthesis

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26734341.v1
title: Additional file 1 of Integrated pathway mining and selection of an artificial CYP79-mediated bypass to improve benzylisoquinoline alkaloid biosynthesis

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26626570
title: Additional file 1 of Pan-cancer spatially resolved single-cell analysis reveals the crosstalk between cancer-associated fibroblasts and tumor microenvironment

description: Additional file 1: Table S1. Sample information of public single cell RNA sequencing data.
DOI: 10.6084/m9.figshare.26626774.v1
title: Additional file 8 of Integrated proteome and malonylome analyses reveal the potential meaning of TLN1 and ACTB in end-stage renal disease

description: Additional file 8: Supplementary Table 1. The LFQ intensities for the quantitated proteins. Supplementary Table 2: Information of 793 DEPs (FC&lt;1/1.5 or FC&gt;1.5 and P&lt;0.05). Supplementary Table 3: Information of 12 DMPs (FC&lt;1/1.5 or FC&gt;1.5 and P&lt;0.05). Supplementary Table 4: GO functional fold enrichment of DEPs. Supplementary Table 5: GO functional fold enrichment of DMPs.
DOI: 10.6084/m9.figshare.26626597.v1
title: Additional file 10 of Pan-cancer spatially resolved single-cell analysis reveals the crosstalk between cancer-associated fibroblasts and tumor microenvironment

description: Additional file 10: Table S10. Ligands promoting M2 macrophage polarization.
DOI: 10.6084/m9.figshare.26626600
title: Additional file 11 of Pan-cancer spatially resolved single-cell analysis reveals the crosstalk between cancer-associated fibroblasts and tumor microenvironment

description: Additional file 11: Table S11. Immune scores.
DOI: 10.6084/m9.figshare.26626594
title: Additional file 9 of Pan-cancer spatially resolved single-cell analysis reveals the crosstalk between cancer-associated fibroblasts and tumor microenvironment

description: Additional file 9: Table S9. Integrated ranking of LRIs from each CAF subtype to TME using RRA algorithm.
DOI: 10.6084/m9.figshare.24303471
title: Additional file 2 of Comparative transcriptome analysis of high- and low-embryogenic Hevea brasiliensis genotypes reveals involvement of phytohormones in somatic embryogenesis

description: Additional file 2: Supplementary Table 2. Statistics of transcriptome sequencing of 21 libraries belonging to four stages of somatic embryogenesis of Hevea genotypes YT and RT.
DOI: 10.6084/m9.figshare.26626588
title: Additional file 7 of Pan-cancer spatially resolved single-cell analysis reveals the crosstalk between cancer-associated fibroblasts and tumor microenvironment

description: Additional file 7: Table S7. Regulon specificity scores for each CAF subtype.
DOI: 10.6084/m9.figshare.26626588.v1
title: Additional file 7 of Pan-cancer spatially resolved single-cell analysis reveals the crosstalk between cancer-associated fibroblasts and tumor microenvironment

description: Additional file 7: Table S7. Regulon specificity scores for each CAF subtype.
DOI: 10.6084/m9.figshare.26626597
title: Additional file 10 of Pan-cancer spatially resolved single-cell analysis reveals the crosstalk between cancer-associated fibroblasts and tumor microenvironment

description: Additional file 10: Table S10. Ligands promoting M2 macrophage polarization.
DOI: 10.6084/m9.figshare.26626576.v1
title: Additional file 3 of Pan-cancer spatially resolved single-cell analysis reveals the crosstalk between cancer-associated fibroblasts and tumor microenvironment

description: Additional file 3: Table S3. Marker genes for each cell type.
DOI: 10.6084/m9.figshare.24303471.v1
title: Additional file 2 of Comparative transcriptome analysis of high- and low-embryogenic Hevea brasiliensis genotypes reveals involvement of phytohormones in somatic embryogenesis

description: Additional file 2: Supplementary Table 2. Statistics of transcriptome sequencing of 21 libraries belonging to four stages of somatic embryogenesis of Hevea genotypes YT and RT.
DOI: 10.15468/dl.wejwf9
title: Occurrence Download

description: A dataset containing 1325 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hesperolinon micranthum (A.Gray) Small"
 ]
}

 The dataset includes 1325 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0241740-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.