cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5ut822
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tetraogallus himalayensis G.R.Gray, 1843"
 ]
}

 The dataset includes 127 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069090-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qwqm4
title: Occurrence Download

description: A dataset containing 3400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "TaxonKey is Falco peregrinus Tunstall, 1771",
 "Year 1923-2023"
 ]
}

 The dataset includes 3400 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284685-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7usv4
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Achillea barrelieri (Ten.) Sch.Bip."
 ]
}

 The dataset includes 301 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296558-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azzxv4
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Cyrtochilum trifurcatum (Lindl.) Kraenzl."
 ]
}

 The dataset includes 21 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067524-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ke5y4n
title: Occurrence Download

description: A dataset containing 2145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crithagra leucoptera Sharpe, 1871)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2145 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295326-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvndfz
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nesogenes decumbens Balf.fil."
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047578-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2z4m4a
title: Occurrence Download

description: A dataset containing 164714 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is RSPB Annual Reserve Avian Monitoring"
 ]
}

 The dataset includes 164714 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296539-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6patge
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "TaxonKey is Falco cherrug J.E.Gray, 1834",
 "Year 1923-2023"
 ]
}

 The dataset includes 33 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284686-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmx3gh
title: Occurrence Download

description: A dataset containing 3052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "Country is Greece",
 "OccurrenceStatus is Present",
 "TaxonKey is Falco eleonorae Géné, 1839",
 "Year 1990-2022"
 ]
}

 The dataset includes 3052 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295295-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g8wqa3
title: Occurrence Download

description: A dataset containing 10625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "TaxonKey is Falco tinnunculus Linnaeus, 1758",
 "Year 1923-2023"
 ]
}

 The dataset includes 10625 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284693-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tkfbpp
title: Occurrence Download

description: A dataset containing 537 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Zosterops atriceps G.R.Gray, 1861)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 537 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296564-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k72tkn
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Halophryne diemensis (Lesueur, 1824)"
 ]
}

 The dataset's 3 records were derived from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295219-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rbu7zk
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-127.26789 47.61217,-114.17240 47.61217,-114.17240 52.84812,-127.26789 52.84812,-127.26789 47.61217))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alisma lanceolatum With."
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047579-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48vcru
title: Occurrence Download

description: A dataset containing 1714213 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Pl@ntNet observations"
 ]
}

 The dataset includes 1714213 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284696-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.htvt22
title: Occurrence Download

description: A dataset containing 822 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Heleia wallacei (Finsch, 1901), Helix wallacei L.Pfeiffer, 1858)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 822 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296559-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2hzye5
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nesogenes madagascariensis (Bonati) Marais"
 ]
}

 The dataset includes 62 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047585-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.adf57n
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acalypha beckii Cardiel"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295317-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ny38jd
title: Occurrence Download

description: A dataset containing 8186613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Occurrence evidence, Living Specimen, Specimen, Material citation, Material sample, Human Observation)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Anemone nemorosa L., Athyrium distentifolium Tausch, Athyrium filix-femina (L.) Roth ex Mert., Avenella flexuosa (L.) Drejer, Calamagrostis arundinacea (L.) Roth, Calamagrostis canescens (Weber) Roth, Calamagrostis purpurea (Trin.) Trin., Calluna vulgaris (L.) Hull, Carex digitata L., Carex globularis L., Deschampsia cespitosa (L.) P.Beauv., Dryopteris carthusiana (Vill.) H.P.Fuchs, Empetrum nigrum L., Epilobium angustifolium L., Equisetum sylvaticum L., Eriophorum vaginatum L., Filipendula ulmaria (L.) Maxim., Fragaria vesca L., Geranium sylvaticum L., Gymnocarpium dryopteris (L.) Newman, Juncus conglomeratus L., Juncus effusus L., Lathyrus linifolius (Reichard) Bässler, Linnaea borealis L., Luzula pilosa (L.) Willd., Lysimachia europaea (L.) U.Manns & Anderb., Maianthemum bifolium (L.) F.W.Schmidt, Melampyrum pratense L., Melampyrum sylvaticum L.)"
 ]
}

 The dataset includes 8186613 records from 2958 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284698-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15251284
title: БИР ГУРУҲ ШАХСЛАР БЕЗОРИЛИГИНИНГ СУБЪЕКТИВ БЕЛГИЛАРИ
DOI: 10.5281/zenodo.15251285
title: БИР ГУРУҲ ШАХСЛАР БЕЗОРИЛИГИНИНГ СУБЪЕКТИВ БЕЛГИЛАРИ
DOI: 10.15468/dl.ga3pm5
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fortunella hindsii (Champ. ex Benth.) Swingle",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007143-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1381089.10fu
title: SH1381089.10FU

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/sh1381090.10fu
title: SH1381090.10FU

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/sh1381091.10fu
title: SH1381091.10FU

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/sh1381092.10fu
title: SH1381092.10FU

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: 10.21227/30x0-s640
title: "Blockchain Wallet Login \u2013 A Smarter Way to Access Your Cryptocurrency"

description: "As cryptocurrency adoption grows, the need for secure and efficient wallet access becomes more significant. Investors want a simple and safe interface where they can store, track, send, and receive digital currencies without worrying about online threats. The Blockchain Wallet Login system is designed exactly for this purpose\u2014providing a powerful, secure, and user-friendly way to manage crypto assets at any time.Every login session on the Blockchain Wallet is secured with strict authentication methods and high-end encryption technology, ensuring users can access their funds without risk. Whether someone is a beginner exploring crypto for the first time or a long-term investor with a diversified portfolio, the login platform guarantees smooth access and complete control.Why Blockchain Wallet Login Is So ImportantThe login portal acts as the first barrier of security. Unlike traditional bank websites, crypto wallets operate in a decentralized environment, meaning YOU are responsible for your funds. The Blockchain Wallet login page checks multiple factors before granting access, such as:Device behaviorAccount authenticityLogin historyIP trust levelPassword encryptionThis ensures that only the rightful owner can open the wallet.How to Log In to Blockchain Wallet EasilyThe process of accessing your wallet is simple and fast. Here\u2019s how it works:Open the official login pageAlways use the verified Blockchain Wallet website or app.Enter your registered email IDYour wallet is linked to the email you signed up with.Enter your secure passwordBlockchain recommends using a strong password unique to your account.Complete the 2FA stepYou will receive a one-time verification code on your mobile or authenticator app.Access your personal dashboardAfter verifying your identity, you\u2019ll see your crypto balances, price charts, and tools.The login process takes only a few moments but provides multi-layered protection.What You Get After Logging InOnce inside your Blockchain Wallet dashboard, you unlock several powerful features designed to help you manage your crypto portfolio effectively.\u2714 Multi-Asset StorageStore a wide variety of cryptocurrencies in one place including Bitcoin, Ethereum, and multiple Web3 tokens.\u2714 Integrated Trading ToolsYou can swap crypto instantly inside the wallet without using external exchanges. This saves time and reduces the risk of sending funds to the wrong address.\u2714 Real-Time Portfolio TrackingAfter login, users get access to:Live market chartsPrice graphsAsset distribution dataPerformance historyThis helps investors make better decisions.\u2714 Web3 Browser AccessWith the secure login, users can explore Web3 platforms and dApps. From NFTs to DeFi protocols, the wallet connects users to multiple blockchain networks.\u2714 Transaction MonitoringEvery transaction\u2014whether sent or received\u2014includes clear details such as timestamps, fees, confirmations, and network status."
DOI: 10.15156/bio/sh1381098.10fu
title: SH1381098.10FU

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/sh1381099.10fu
title: SH1381099.10FU

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/sh1381100.10fu
title: SH1381100.10FU

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/sh1381103.10fu
title: SH1381103.10FU

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.