cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.skebx7
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Sweden, Estonia, Germany, Poland, Switzerland, Austria, Italy, Greece, Bulgaria, Romania, Ukraine, Russian Federation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Catapyrenium pilosellum Breuss"
 ]
}

 The dataset includes 126 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018882-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tan65n
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Matelea pseudobarbata (Pittier) Woodson"
 ]
}

 The dataset includes 23 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031665-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5pm37h
title: Occurrence Download

description: A dataset containing 502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Amborellales"
 ]
}

 The dataset includes 502 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020541-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ffxzs2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendrobium minimiflorum Gilli"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018888-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfea24
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhytidostemma peruvianum (Morillo) Morillo"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031651-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85k5ru
title: Occurrence Download

description: A dataset containing 1155032 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Amborellales, Nymphaeales, Magnoliales)"
 ]
}

 The dataset includes 1155032 records from 2521 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020547-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kp3tc3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Balliella ealensis Badonnel, 1949",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003918-250402121839773/datasets/export for details.
DOI: 10.15468/dl.e86jej
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Baris lepidii Porta, 1932",
 "HasCoordinate is true"
 ]
}

 The dataset includes 43 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003917-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vatdyk
title: Occurrence Download

description: A dataset containing 749 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Albizia chinensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 749 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005554-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xxprggbztd
title: Dataset for Sentiment Analysis in Code-Mixed Language

description: This data is for sentiment analysis based on low resource code-mixed languages like Roman Urdu, Roman Hindi, and Roman English. The dataset is initially collected from ecommerce platform and is based on user reviews on the platform. After collection, data is cleaned and can be used for sentiment analysis research. This dataset classifies the reviews on three classes Positive, Negative and Neutral.
DOI: 10.17632/xxprggbztd.1
title: Dataset for Sentiment Analysis in Code-Mixed Language

description: This data is for sentiment analysis based on low resource code-mixed languages like Roman Urdu, Roman Hindi, and Roman English. The dataset is initially collected from ecommerce platform and is based on user reviews on the platform. After collection, data is cleaned and can be used for sentiment analysis research. This dataset classifies the reviews on three classes Positive, Negative and Neutral.
DOI: 10.17632/n4zrpghnf9
title: A Novel Hierarchical Self-Similar Embedded Re-entrant Honeycomb with Enhanced Mechanical Performance

description: All the data in this study are collected and processed using commercial finite element software, so as to balance the adjustability of structural parameters and calculation accuracy. Meanwhile, for the calculation part of the theoretical model, MATLAB software is used for computation to simplify the complexity of the operation.
DOI: 10.17632/n4zrpghnf9.1
title: A Novel Hierarchical Self-Similar Embedded Re-entrant Honeycomb with Enhanced Mechanical Performance

description: All the data in this study are collected and processed using commercial finite element software, so as to balance the adjustability of structural parameters and calculation accuracy. Meanwhile, for the calculation part of the theoretical model, MATLAB software is used for computation to simplify the complexity of the operation.
DOI: 10.17632/n2kt37dtmj
title: Ancient organic matter in graphite-rich metasediments as a potential carbon source for deep subsurface life

description: This dataset supports a study investigating the origin of methane in deep subsurface environments within the Palaeoproterozoic bedrock of the Fennoscandian Shield, with a particular focus on black schist formations. Through integrated geochemical analyses and microbiological methods—including methane isotopologue measurements and microcosm experiments—the study provides evidence supporting a predominantly abiotic origin of methane in these settings.
The findings reveal the theoretical suitability of graphitic carbon as a microbial carbon source in deep bedrock, based on thermodynamic calculations, and observational evidence of graphitic carbon conversion to CO₂ by intrinsic deep biosphere microbial communities. Additionally, the study discusses the potential of graphitic black schists as a carbon and energy source in deep crystalline bedrock subsurface environments.
These results offer novel insights into carbon cycling in deep bedrock ecosystems, especially highlighting the role of graphitic carbon as a substrate in deep biosphere ecosystems. The dataset contributes to ongoing discussions about the origin and source of methane in ancient crystalline rock formations and the interplay between biotic and abiotic processes in extreme environments.
This dataset comprises comprehensive environmental and experimental data collected for the study of water chemistry and microbial processes. It includes two primary components: 
1) Data from field monitoring and samples of intrinsic groundwater fluids from two study sites, including geospatial and temporal sampling details, water chemistry parameters (major, minor cations and trace elements, anions and other chemical species), total dissolved solids, pH, alkalinity and electrical conductivity, stable isotope measurements (δD-H₂O, δ¹⁸O-H₂O, d-excess, δ¹³C-DOC, δ¹³C-DIC, δ¹³C-CO₂, δ¹³C-CH₄, δ¹³C-C₂H₆, δD-CH₄, ¹⁴C-CH₄), dissolved organic carbon and C1/C2+ gas ratios. In addition, this data contains also the number of viable microbial cells in each groundwater sample and microbial diversity indices (fungal and bacterial communities) of these.
2) Data from microcosm experiment conducted with different carbon sources and inocula in the laboratory. This includes microbial diversity (fungal and bacterial) in microcosms, headspace CO2, CH4, N2O, O and N concentrations in the end of the experiment in microcosms, and d13C isotope values of CO2 and CH4 after the incubation with 13C-labeled graphite as added carbon source.

This dataset supports research in hydrogeochemistry, biogeochemical cycling, and microbial ecology, providing valuable insights into the interactions between chemical parameters and microbial communities in deep crystalline bedrock subsurface environments.
DOI: 10.17632/n2kt37dtmj.1
title: Ancient organic matter in graphite-rich metasediments as a potential carbon source for deep subsurface life

description: This dataset supports a study investigating the origin of methane in deep subsurface environments within the Palaeoproterozoic bedrock of the Fennoscandian Shield, with a particular focus on black schist formations. Through integrated geochemical analyses and microbiological methods—including methane isotopologue measurements and microcosm experiments—the study provides evidence supporting a predominantly abiotic origin of methane in these settings.
The findings reveal the theoretical suitability of graphitic carbon as a microbial carbon source in deep bedrock, based on thermodynamic calculations, and observational evidence of graphitic carbon conversion to CO₂ by intrinsic deep biosphere microbial communities. Additionally, the study discusses the potential of graphitic black schists as a carbon and energy source in deep crystalline bedrock subsurface environments.
These results offer novel insights into carbon cycling in deep bedrock ecosystems, especially highlighting the role of graphitic carbon as a substrate in deep biosphere ecosystems. The dataset contributes to ongoing discussions about the origin and source of methane in ancient crystalline rock formations and the interplay between biotic and abiotic processes in extreme environments.
This dataset comprises comprehensive environmental and experimental data collected for the study of water chemistry and microbial processes. It includes two primary components: 
1) Data from field monitoring and samples of intrinsic groundwater fluids from two study sites, including geospatial and temporal sampling details, water chemistry parameters (major, minor cations and trace elements, anions and other chemical species), total dissolved solids, pH, alkalinity and electrical conductivity, stable isotope measurements (δD-H₂O, δ¹⁸O-H₂O, d-excess, δ¹³C-DOC, δ¹³C-DIC, δ¹³C-CO₂, δ¹³C-CH₄, δ¹³C-C₂H₆, δD-CH₄, ¹⁴C-CH₄), dissolved organic carbon and C1/C2+ gas ratios. In addition, this data contains also the number of viable microbial cells in each groundwater sample and microbial diversity indices (fungal and bacterial communities) of these.
2) Data from microcosm experiment conducted with different carbon sources and inocula in the laboratory. This includes microbial diversity (fungal and bacterial) in microcosms, headspace CO2, CH4, N2O, O and N concentrations in the end of the experiment in microcosms, and d13C isotope values of CO2 and CH4 after the incubation with 13C-labeled graphite as added carbon source.

This dataset supports research in hydrogeochemistry, biogeochemical cycling, and microbial ecology, providing valuable insights into the interactions between chemical parameters and microbial communities in deep crystalline bedrock subsurface environments.
DOI: 10.13145/bacdive122971.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive122971.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0114650.10fu
title: SH0114650.10FU

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: 10.13145/bacdive122972.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive122972.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive122973.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive122973.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive122974.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0114651.10fu
title: SH0114651.10FU

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: 10.13145/bacdive122974.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive122975.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0114652.10fu
title: SH0114652.10FU

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: 10.13145/bacdive122975.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0114653.10fu
title: SH0114653.10FU

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: 10.13145/bacdive122976.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive122976.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0114654.10fu
title: SH0114654.10FU

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: 10.13145/bacdive122977.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive122977.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0114655.10fu
title: SH0114655.10FU

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.yutt4k
title: Occurrence Download

description: A dataset containing 407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Anopheles albitarsis",
 "Year is greater than or equal to 1980"
 ]
}

 The dataset includes 407 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078038-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive122978.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive122978.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.