cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1056036.10fu
title: SH1056036.10FU

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/sh1056038.10fu
title: SH1056038.10FU

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/sh1056039.10fu
title: SH1056039.10FU

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/sh1056041.10fu
title: SH1056041.10FU

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/sh1056044.10fu
title: SH1056044.10FU

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/sh1056048.10fu
title: SH1056048.10FU

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/sh1056049.10fu
title: SH1056049.10FU

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/sh1056050.10fu
title: SH1056050.10FU

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.18204510
title: FAST Database

description: The Fast Auroral Snapshot Explorer (FAST) spacecraft collected up to five gigabytes per day over its operational lifespan, consolidating a rich variety of particle and fields data over a range of events and altitudes. Among other uses, these data have proven invaluable for application to the study and modeling of wave-particle interactions in Alfvénic and other waves modes, ionospheric energization, and ion outflow. However, instrumentation and operational idiosyncrasies and outdated access and representation protocols have proven to be a barrier to their usage for researchers outside the FAST team and associates. We have therefore compiled a consolidated, sanitized, and standardized database of FAST particle, field, and spectral energy quantities on a common time axis to facilitate easy access for pursuing these scientific goals without requiring detailed knowledge of instrument operation modes and instrument characteristics. Quantities in the database include spin-period averaged vector electric and magnetic field magnitudes and spectral energy densities from the sub-Hz to kHz range, electron and ion number and energy in- and outflows, and geospatial positioning and trajectory data, which are compiled as ISTP/IACG-compliant Common Data Format (CDF) files. These data are made publicly available here. Representations of the reduced measurements comprising the database are presented from the beginning of the mission in 1996 to the failure of the electric field instrument in the early 2000s. Further details and the code used for dataset generation are available on the affiliated Github page: https://github.com/krishnabhattaram/FASTDatabase.
DOI: 10.5281/zenodo.14044413
title: Dataset to: Terrestrial runoff is an important source of biological ice-nucleating particles in Arctic marine systems

description: The dataset contains supplementary information to the manuscript "Terrestrial runoff is an important source of biological ice-nucleating particles in Arctic marine systems"

The file INP_data_all_samples.csv contains information on the ice nucleation measurements for all samples presented.

The file "Significant_taxa_list_16S.xlsx" contains a list of the bacterial taxa that significantly correlated with the concentration of INPs observed in the samples, while the file Significant_taxa_list_18S.xlsx contains the same information for the microalgae. 

The relative abundance of the taxa in each sample is indicated in the columns "F" to "T".
DOI: 10.5281/zenodo.14044414
title: Dataset to: Terrestrial runoff is an important source of biological INPs in Arctic marine systems

description: The dataset contains a list of taxa that significantly correlated with the concentration of INPs observed in the samples. 

The file "Significant_taxa_list_16S.xlsx" contains a list of the bacterial taxa and the file Significant_taxa_list_18S.xlsx contains a list of the microalgae. 

The relative abundance of the taxa in each sample is indicated in the columns "F" to "T".
DOI: 10.5281/zenodo.14988900
title: Dataset to: Terrestrial runoff is an important source of biological ice-nucleating particles in Arctic marine systems

description: The dataset contains supplementary information to the manuscript "Terrestrial runoff is an important source of biological ice-nucleating particles in Arctic marine systems"

The file INP_data_all_samples.csv contains information on the ice nucleation measurements for all samples presented.

The file "Significant_taxa_list_16S.xlsx" contains a list of the bacterial taxa that significantly correlated with the concentration of INPs observed in the samples, while the file Significant_taxa_list_18S.xlsx contains the same information for the microalgae. 

The relative abundance of the taxa in each sample is indicated in the columns "F" to "T".
DOI: 10.15468/dl.xyxxr4
title: Occurrence Download

description: A dataset containing 1012 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Exochorda racemosa (Lindl.) Rehder)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 1012 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007999-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j77hak
title: Occurrence Download

description: A dataset containing 1095 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((41.37101 19.89603,41.51128 19.89547,41.5079 19.99461,41.37158 19.9948,41.37101 19.89603))"
 ]
}

 The dataset includes 1095 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007916-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8erz3e
title: Occurrence Download

description: A dataset containing 9908 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Arctostaphylos pungens Kunth",
 "Year 1900-2025"
 ]
}

 The dataset includes 9908 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008000-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tuxtmx
title: Occurrence Download

description: A dataset containing 915 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Diospyros nigra (J.F.Gmel.) Perr.",
 "Year 1900-2025"
 ]
}

 The dataset includes 915 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007917-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cck5zz
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "BasisOfRecord is one of (Specimen)",
 "StateProvince is one of (santander)",
 "TaxonKey is one of (Hypolobocera bouvieri (Rathbun, 1898))"
 ]
 }
 ]
}

 The dataset includes 38 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008001-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wc65px
title: Occurrence Download

description: A dataset containing 947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fagopyrum cymosum (Trevir.) Meisn.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 947 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007918-250227182400228/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.28554233
title: Supplementary Material for: Aberrant Inflammatory Cells of Peripheral Blood in Nasal Inverted Papilloma

description: Introduction: Nasal inverted papilloma (NIP) is a common nasal benign tumor, with a complex pathogenesis closely linked to inflammatory response. It can be classified into Grade-I and Grade-II phenotypes based on nasal epithelium abnormality. Our objective is to investigate potential inflammatory biomarkers in peripheral blood of NIP patients for preoperative assessment of disease severity.
Methods: We retrospectively analyzed inflammatory cells in the peripheral blood of 63 healthy controls and 82 NIP patients, while distinguishing different phenotypes of NIP through immunofluorescent and H&E staining. Using receiver operating characteristic curve analysis, we assessed the predictive value of monocytes%-to-lymphocytes% ratio (M%L%R) for peripheral blood abnormalities in NIP and explored its correlation with clinical data by Spearman r characteristic.
Results: We observed an increase in monocytes% and decrease in lymphocytes% proportion, while the level of M%L%R was upregulated in the peripheral blood of NIP patients (all p &lt; 0.05). Immunofluorescent staining revealed basal cell proliferation and squamous metaplasia, along with inhibited differentiation of ciliated and goblet cells in nasal epithelium of NIP. Correlation analysis demonstrated a positive correlation between M%L%R and degree of nasal epithelial deterioration (r = 0.2999, p = 0.0062). Finally, M%L%R level was significantly increased in both Grade-I and Grade-II patients (all p &lt; 0.05).
Conclusion: The expression level of M%L%R in the peripheral blood of patients with NIP can serve as a potential biomarker for preoperative evaluation of the severity of nasal epithelial lesions.
DOI: 10.6084/m9.figshare.28554233.v1
title: Supplementary Material for: Aberrant Inflammatory Cells of Peripheral Blood in Nasal Inverted Papilloma

description: Introduction: Nasal inverted papilloma (NIP) is a common nasal benign tumor, with a complex pathogenesis closely linked to inflammatory response. It can be classified into Grade-I and Grade-II phenotypes based on nasal epithelium abnormality. Our objective is to investigate potential inflammatory biomarkers in peripheral blood of NIP patients for preoperative assessment of disease severity.
Methods: We retrospectively analyzed inflammatory cells in the peripheral blood of 63 healthy controls and 82 NIP patients, while distinguishing different phenotypes of NIP through immunofluorescent and H&E staining. Using receiver operating characteristic curve analysis, we assessed the predictive value of monocytes%-to-lymphocytes% ratio (M%L%R) for peripheral blood abnormalities in NIP and explored its correlation with clinical data by Spearman r characteristic.
Results: We observed an increase in monocytes% and decrease in lymphocytes% proportion, while the level of M%L%R was upregulated in the peripheral blood of NIP patients (all p &lt; 0.05). Immunofluorescent staining revealed basal cell proliferation and squamous metaplasia, along with inhibited differentiation of ciliated and goblet cells in nasal epithelium of NIP. Correlation analysis demonstrated a positive correlation between M%L%R and degree of nasal epithelial deterioration (r = 0.2999, p = 0.0062). Finally, M%L%R level was significantly increased in both Grade-I and Grade-II patients (all p &lt; 0.05).
Conclusion: The expression level of M%L%R in the peripheral blood of patients with NIP can serve as a potential biomarker for preoperative evaluation of the severity of nasal epithelial lesions.
DOI: 10.5281/zenodo.14988341
title: Benchmarks for the Thesis: Explaining Goal Conflicts in Oversubscription Planning
DOI: 10.5281/zenodo.14988342
title: Benchmarks for the Thesis: Explaining Goal Conflicts in Oversubscription Planning
DOI: 10.25345/c59w09b4d
title: MassIVE MSV000097263 - GNPS - Dataset Creation from GNPS Molcular Networking - 514832a6bd36459a97669c26a2f28845
title: This is the molecular network done using ddMS files of QC pool sample analyzed with C18 (positive, negative polarities) and Zic-Hilic (Positive, negative polarities). DMSP was identified in cold-adapted Antarctic Ulva and its holobiont, and several other polar compounds were up-regulated during heat stress. The full dataset can be found under the MassIVE Accession MSV000097253
DOI: 10.15468/dl.5rztpc
title: Occurrence Download

description: A dataset containing 273726 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pheidole Westwood, 1839"
 ]
}

 The dataset includes 273726 records from 446 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007914-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10658469
title: Multidimensional photoemission spectra of Gd/W(110)

description: This is a dataset of pump-probe multidimensional photoemission spectroscopy of gadolinium thin film on tungsten single crystal (Gd/W(110)) measured using an electron momentum microscope (HEXTOF) at the PG2 beamline at Free Electron Laser FLASH/DESY, Hamburg.

The single-event data (in single_event_data.zip file) zip file contains data for analysis - analysis_data: 



runs 44824, 44825, 44826 and 44827 - trMM


and data for calibration - calibration_data:



44762 - chessy sample for PEEM mode FoV calibration

44797 - energy calibration

44798 and 44799 - optical spot profile


Additionally, metadata information for every run is available in corresponding JSON files.

 

This dataset is to be used as an example dataset for tutorial with backend for handling photoelectron resolved datastreams: 

https://github.com/OpenCOMPES/sed
DOI: 10.5281/zenodo.10658470
title: Multidimensional photoemission spectra of Gd/W(110)

description: This is a dataset of pump-probe multidimensional photoemission spectroscopy of gadolinium thin film on tungsten single crystal (Gd/W(110)) measured using an electron momentum microscope (HEXTOF) at the PG2 beamline at Free Electron Laser FLASH/DESY, Hamburg.

The single-event data (in single_event_data.zip file) zip file contains data for analysis - analysis_data: 



runs 44824, 44825, 44826 and 44827 - trMM


and data for calibration - calibration_data:



44762 - chessy sample for PEEM mode FoV calibration

44797 - energy calibration

44798 and 44799 - optical spot profile


Additionally, metadata information for every run is available in corresponding JSON files.

 

This dataset is to be used as an example dataset for tutorial with backend for handling photoelectron resolved datastreams: 

https://github.com/OpenCOMPES/sed