cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0099271.10fu
title: SH0099271.10FU

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/bacdive107487.20241212.9.2
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/bacdive107487.20251217.10
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/sh0099272.10fu
title: SH0099272.10FU

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/bacdive107488.20241212.9.2
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/sh0099273.10fu
title: SH0099273.10FU

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/bacdive107488.20251217.10
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/bacdive107489.20241212.9.2
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/sh0099274.10fu
title: SH0099274.10FU

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/bacdive107489.20251217.10
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/bacdive107490.20241212.9.2
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/sh0099275.10fu
title: SH0099275.10FU

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.y2pn5y
title: Occurrence Download

description: A dataset containing 292191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phoca vitulina Linnaeus, 1758",
 "Year 1900-2024"
 ]
}

 The dataset includes 292191 records from 322 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030960-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5ru7t
title: Occurrence Download

description: A dataset containing 34442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-61.41598 15.65269,-61.47366 15.6371,-61.48846 15.58021,-61.48768 15.54358,-61.47599 15.48513,-61.4643 15.4485,-61.43936 15.40096,-61.41131 15.34796,-61.39806 15.30432,-61.38871 15.2599,-61.38637 15.21392,-61.36689 15.19132,-61.28973 15.19132,-61.22582 15.28406,-61.21959 15.47188,-61.28739 15.59346,-61.41598 15.65269))"
 ]
}

 The dataset includes 34442 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030968-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2m3g77
title: Occurrence Download

description: A dataset containing 107272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-61.69985 15.93687,-61.61306 15.9715,-61.55797 16.02281,-61.54602 16.04367,-61.54737 16.08944,-61.56167 16.1357,-61.56974 16.15152,-61.57591 16.16238,-61.57294 16.17524,-61.58421 16.18853,-61.58135 16.20721,-61.57647 16.22958,-61.56184 16.2205,-61.54569 16.22083,-61.53963 16.2279,-61.54148 16.23345,-61.54888 16.23665,-61.54669 16.24069,-61.55225 16.25112,-61.5477 16.25398,-61.54737 16.26357,-61.55073 16.28056,-61.55696 16.29183,-61.57872 16.30297,-61.60564 16.31239,-61.64198 16.32518,-61.67563 16.34133,-61.70322 16.35412,-61.73283 16.37027,-61.75638 16.3696,-61.79878 16.32989,-61.8109 16.30095,-61.81644 16.27338,-61.79945 16.20606,-61.78936 16.15357,-61.78128 16.05734,-61.73283 15.96918,-61.69985 15.93687))"
 ]
}

 The dataset includes 107272 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030965-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dypefd
title: Occurrence Download

description: A dataset containing 161677 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-61.5534 16.3066,-61.54542 16.24441,-61.53629 16.2233,-61.52545 16.20333,-61.4507 16.17709,-61.30293 16.20162,-61.1951 16.23699,-61.16429 16.23642,-61.16657 16.27522,-61.24531 16.32885,-61.34572 16.3745,-61.39422 16.47092,-61.43815 16.53197,-61.4992 16.52911,-61.56824 16.48005,-61.54827 16.40131,-61.51689 16.36194,-61.53343 16.3511,-61.5534 16.3066))"
 ]
}

 The dataset includes 161677 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030966-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25946/27312843
title: Thermal Performance Analysis and Process Optimization for Converting Marine Biomass (Seaweed) into Pyrolysis Oil

description: This project focuses on the thermal performance analysis and optimization of converting marine biomass, specifically seaweed, into pyrolysis oil. The research investigates the pyrolysis process as a sustainable method to produce biofuels and valuable chemicals from seaweed, aligning with global efforts to explore renewable energy sources. Pyrolysis, a thermochemical conversion method, offers significant potential in transforming seaweed into usable bio-oil, thanks to its high carbohydrate content and rapid growth rate. Key variables such as temperature, heating rate, particle size, residence time, and the use of catalysts are analysed to determine their impact on the yield and quality of pyrolysis oil. The study also compares seaweed-derived oil with that of other organic and inorganic wastes, including macadamia nutshells, municipal green waste, beauty leaf fruit husks, and high-density polyethylene. This comparative analysis highlights the unique properties of seaweed oil, including its oxygenated compounds and phenolic substances, while addressing challenges such as its higher viscosity and lower calorific value. To optimize the process, the research utilizes advanced methodologies like response surface methodology (RSM) and the Box-Behnken design to achieve maximum oil yield under optimal conditions. The findings of this study underscore the potential of seaweed as a sustainable biomass resource, with further refinement techniques suggested to improve the quality of the pyrolysis oil for broader applications, including engine fuels and chemical production. This work contributes to sustainable energy research, supporting global environmental goals such as carbon capture and nutrient recycling, and lays a foundation for future innovations in seaweed pyrolysis and biofuel technologies.
DOI: 10.25946/27312843.v1
title: Thermal Performance Analysis and Process Optimization for Converting Marine Biomass (Seaweed) into Pyrolysis Oil

description: This project focuses on the thermal performance analysis and optimization of converting marine biomass, specifically seaweed, into pyrolysis oil. The research investigates the pyrolysis process as a sustainable method to produce biofuels and valuable chemicals from seaweed, aligning with global efforts to explore renewable energy sources. Pyrolysis, a thermochemical conversion method, offers significant potential in transforming seaweed into usable bio-oil, thanks to its high carbohydrate content and rapid growth rate. Key variables such as temperature, heating rate, particle size, residence time, and the use of catalysts are analysed to determine their impact on the yield and quality of pyrolysis oil. The study also compares seaweed-derived oil with that of other organic and inorganic wastes, including macadamia nutshells, municipal green waste, beauty leaf fruit husks, and high-density polyethylene. This comparative analysis highlights the unique properties of seaweed oil, including its oxygenated compounds and phenolic substances, while addressing challenges such as its higher viscosity and lower calorific value. To optimize the process, the research utilizes advanced methodologies like response surface methodology (RSM) and the Box-Behnken design to achieve maximum oil yield under optimal conditions. The findings of this study underscore the potential of seaweed as a sustainable biomass resource, with further refinement techniques suggested to improve the quality of the pyrolysis oil for broader applications, including engine fuels and chemical production. This work contributes to sustainable energy research, supporting global environmental goals such as carbon capture and nutrient recycling, and lays a foundation for future innovations in seaweed pyrolysis and biofuel technologies.
DOI: 10.26036/cnp0005165
title: Low-depth resequencing raw data of Elymus nutans

description: This is the Low-depth resequencing raw data of Elymus nutans, which applied for the genetic and evolutionary study of E. Low-depth resequencing raw data of Elymus nutans and its related species
DOI: 10.5281/zenodo.14391085
title: dataset_for_training
DOI: 10.15468/dl.xdub4t
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Moniliophthora roreri (Cif.) H.C.Evans, Stalpers, Samson & Benny",
 "Year 2011-2024"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030972-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwqpv9
title: Occurrence Download

description: A dataset listing the 7 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phoca vitulina Linnaeus, 1758",
 "Year 1900-2024"
 ]
}

 The dataset's 7 records were derived from 323 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030973-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qbc8tg
title: Occurrence Download

description: A dataset containing 29995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-61.15679 14.90529,-61.2299 14.86386,-61.24257 14.82536,-61.2338 14.79514,-61.2143 14.72788,-61.17824 14.68402,-61.15289 14.64211,-61.11293 14.61579,-61.07199 14.58167,-61.10903 14.54268,-61.1139 14.492,-61.06127 14.44033,-61.01448 14.45398,-60.93553 14.42766,-60.87899 14.3682,-60.81368 14.40329,-60.79711 14.52806,-60.81173 14.67427,-60.85462 14.78929,-60.91311 14.78539,-61.01058 14.8429,-61.15679 14.90529))"
 ]
}

 The dataset includes 29995 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030974-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cma4e8
title: Occurrence Download

description: A dataset containing 498958962 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 498958962 records from 16849 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030970-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9kyavu
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Protea decurrens E.Phillips"
 ]
}

 The dataset includes 74 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047559-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g9kvz9
title: Occurrence Download

description: A dataset containing 80123 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Muscari Mill."
 ]
}

 The dataset includes 80123 records from 512 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0139564-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.926648
title: Occurrence Download

description: A dataset containing 4843 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tozzia alpina L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4843 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079186-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgsz2t
title: Occurrence Download

description: A dataset listing the 1253 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Unknown evidence",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen"
 ]
 },
 "Geometry POLYGON ((-99.64989049748017 24.609393536850025, -99.64947667855301 24.60932473381976, -99.64434281329052 24.53844768088933, -99.6216513205079 24.534553462398968, -99.60572870366616 24.498436685964446, -99.59311637902172 24.48786356586789, -99.58031534936926 24.4977808991103, -99.56477453643707 24.47258323538998, -99.57260332861914 24.43741419268882, -99.55649653377851 24.421792463552084, -99.55654143489784 24.40691635817327, -99.58628920202459 24.353803470198525, -99.58749698365905 24.332977007312458, -99.09169734648414 24.332875655642866, -99.09169734648414 24.54453028025543, -99.10368277722442 24.54160976730614, -99.10287423002453 24.52142463852281, -99.12146942757916 24.51761120644315, -99.14713428872275 24.52509423639357, -99.18047969857939 24.534346892333364, -99.15812512680301 24.56946649796462, -99.1500851886737 24.60000024932511, -99.16975384622185 24.618694152223302, -99.16837491566997 24.65997628762894, -99.16638964535011 24.63976419153654, -99.12743420357009 24.646685684365803, -99.12124485060475 24.6561134978515, -99.12778452040713 24.710825416926415, -99.11687450578847 24.72442587925362, -99.09256607759632 24.706275431469685, -99.09169734648415 24.70459132415848, -99.09169734648414 24.84049717430213, -99.64989049748017 24.84049717430213, -99.64989049748017 24.609393536850025), (-99.27198211977259 24.76712729529993, -99.30456404390311 24.79739152581419, -99.2830493880231 24.773366065674846, -99.27198211977259 24.76712729529993), (-99.30294706323465 24.808921406073924, -99.27084571923926 24.837838219160094, -99.28154018763684 24.832830075707918, -99.30294706323465 24.808921406073924), (-99.21724774726194 24.789841237162975, -99.1866601101447 24.78507564533542, -99.21929427737695 24.79373012995489, -99.21724774726194 24.789841237162975), (-99.13828696903875 24.50186726245533, -99.15064218957303 24.51307475297362, -99.14299755333522 24.50197160121566, -99.13828696903875 24.50186726245533))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 1253 records were derived from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0345402-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ci22xz
title: Occurrence Download

description: A dataset containing 4158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Astyanax fasciatus (Cuvier, 1819)",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 4158 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047571-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n3pd8e
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Musa troglodytarum L."
 ]
}

 The dataset includes 149 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013269-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qq9bn4
title: Occurrence Download

description: A dataset containing 62283 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is PRECIS (KwaZulu-Natal Herbarium)"
 ]
}

 The dataset includes 62283 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095260-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ptcrlw
title: Occurrence Download

description: A dataset containing 5819 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Cousinia Cass."
 ]
}

 The dataset includes 5819 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047561-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhytmt
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalaria pseudotenuirama Torre"
 ]
}

 The dataset includes 145 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013274-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.