cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hqbz6r
title: Occurrence Download

description: A dataset containing 934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Notiophilus biguttatus",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 934 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025455-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5067/gnss/gnss_daily_o_001
title: Ground-Based Global Navigation Satellite System (GNSS) Daily 30-Second GNSS Observation Data
DOI: 10.5067/gnss/gnss_daily_q_001
title: Ground-Based Global Navigation Satellite System (GNSS) Daily 30-second QZSS broadcast ephemeris data
DOI: 10.5067/gnss/gnss_daily_s_001
title: Ground-Based Global Navigation Satellite System (GNSS) Daily 30-Second observation summary files
DOI: 10.15468/dl.8m7422
title: Occurrence Download

description: A dataset containing 3188 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sisymbrium crassifolium"
 ]
}

 The dataset includes 3188 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025456-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5067/gnss/gnss_daily_x_001
title: Ground-Based Global Navigation Satellite System (GNSS) Daily 30-second mixed broadcast ephemeris data
DOI: 10.5067/gnss/gnss_highrage_d_001
title: Ground-Based Global Navigation Satellite System (GNSS) High-rate (1-second) Hatanaka-compressed GNSS observation data
DOI: 10.5067/gnss/gnss_highrage_g_001
title: Ground-Based Global Navigation Satellite System (GNSS) High-rate (1-second) GLONASS broadcast ephemeris data
DOI: 10.5067/gnss/gnss_highrage_m_001
title: Ground-Based Global Navigation Satellite System (GNSS) High-rate (1-second) meteorological data
DOI: 10.5067/gnss/gnss_highrage_n_001
title: Ground-Based Global Navigation Satellite System (GNSS) High-rate (1-second) GPS broadcast ephemeris data
DOI: 10.5067/gnss/gnss_highrate_d_001
title: Ground-Based Global Navigation Satellite System (GNSS) High-rate (1-second) Hatanaka-compressed GNSS observation data
DOI: 10.5067/gnss/gnss_highrate_g_001
title: Ground-Based Global Navigation Satellite System (GNSS) High-rate (1-second) GLONASS broadcast ephemeris data
DOI: 10.5067/gnss/gnss_highrate_h_001
title: Ground-Based Global Navigation Satellite System (GNSS) High-rate (1-second) SBAS broadcast ephemeris data
DOI: 10.5067/gnss/gnss_highrate_i_001
title: Ground-Based Global Navigation Satellite System (GNSS) High-rate (1-second) IRNSS broadcast ephemeris data
DOI: 10.5067/gnss/gnss_highrate_l_001
title: Ground-Based Global Navigation Satellite System (GNSS) High-rate (1-second) Galileo broadcast ephemeris data
DOI: 10.5067/gnss/gnss_highrate_m_001
title: Ground-Based Global Navigation Satellite System (GNSS) High-rate (1-second) meteorological data
DOI: 10.5067/gnss/gnss_highrate_n_001
title: Ground-Based Global Navigation Satellite System (GNSS) High-rate (1-second) GPS broadcast ephemeris data
DOI: 10.15468/dl.e6jndt
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ceratina catamarcensis"
 ]
}

 The dataset includes 37 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025461-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5067/gnss/gnss_highrate_o_001
title: Ground-Based Global Navigation Satellite System (GNSS) High-rate (1-second) GNSS observation data
DOI: 10.5281/zenodo.15988052
title: TABLE 1 in A new genus and species of miniature tridentine catfish from the Amazon basin (Siluriformes: Trichomycteridae)

description: TABLE 1 | Morphometric data for Rhinotridens chromocaudatus; n = 10; range includes holotype. SD, standard deviation.
HolotypeRangeMeanSDStandard length (mm)17.5716.10–17.57––Percentage of standard lengthBody depth10.669.67–12.1110.970.7Caudal peduncle length13.757.90–15.3812.382.3Caudal peduncle depth6.265.63–7.496.510.4Predorsal length68.4366.79–70.2268.681.0Preanal length61.6659.44–71.8162.623.5Dorsal-fin base length8.467.67–11.159.041.0Anal-fin base length20.1720.17–25.5922.391.6Distance between dorsal-fin origin and middle of caudal-fin base32.4829.33–35.9633.081.7Distance between anal-fin origin and middle caudal-fin base38.5534.31–40.9538.841.9Pectoral girdle width10.879.71–11.8010.880.6Pectoral fin length8.678.17–10.339.300.7Prepelvic length47.2042.07–49.9246.352.4Head length18.8016.48–19.4018.181.1Percentage of head lengthHead width60.0455.91–72.7263.195.1Head depth43.5943.59–51.4746.752.6Interorbital distance19.7819.78–29.3924.773.1Snout length38.8534.11–47.9641.604.2Maxillary-barbel length17.7617.76–24.8722.212.5Rictal-barbel length9.898.85–16.4412.272.6Mouth width40.4640.45–51.8444.413.8Eye diameter23.5120.02–30.9126.773.2
description: Published as part of Datovo, Alessio, Ochoa, Luz, Vita, George, Presti, Paulo, Ohara, William M. & Pinna, Mario C. C. de, 2023, A new genus and species of miniature tridentine catfish from the Amazon basin (Siluriformes: Trichomycteridae), pp. 6 in Neotropical Ichthyology (e 230076) 21 (3) on page 6, DOI: 10.1590/1982-0224-2023-0076, http://zenodo.org/record/13348880
DOI: 10.5281/zenodo.15988053
title: TABLE 1 in A new genus and species of miniature tridentine catfish from the Amazon basin (Siluriformes: Trichomycteridae)

description: TABLE 1 | Morphometric data for Rhinotridens chromocaudatus; n = 10; range includes holotype. SD, standard deviation.
HolotypeRangeMeanSDStandard length (mm)17.5716.10–17.57––Percentage of standard lengthBody depth10.669.67–12.1110.970.7Caudal peduncle length13.757.90–15.3812.382.3Caudal peduncle depth6.265.63–7.496.510.4Predorsal length68.4366.79–70.2268.681.0Preanal length61.6659.44–71.8162.623.5Dorsal-fin base length8.467.67–11.159.041.0Anal-fin base length20.1720.17–25.5922.391.6Distance between dorsal-fin origin and middle of caudal-fin base32.4829.33–35.9633.081.7Distance between anal-fin origin and middle caudal-fin base38.5534.31–40.9538.841.9Pectoral girdle width10.879.71–11.8010.880.6Pectoral fin length8.678.17–10.339.300.7Prepelvic length47.2042.07–49.9246.352.4Head length18.8016.48–19.4018.181.1Percentage of head lengthHead width60.0455.91–72.7263.195.1Head depth43.5943.59–51.4746.752.6Interorbital distance19.7819.78–29.3924.773.1Snout length38.8534.11–47.9641.604.2Maxillary-barbel length17.7617.76–24.8722.212.5Rictal-barbel length9.898.85–16.4412.272.6Mouth width40.4640.45–51.8444.413.8Eye diameter23.5120.02–30.9126.773.2
description: Published as part of Datovo, Alessio, Ochoa, Luz, Vita, George, Presti, Paulo, Ohara, William M. & Pinna, Mario C. C. de, 2023, A new genus and species of miniature tridentine catfish from the Amazon basin (Siluriformes: Trichomycteridae), pp. 6 in Neotropical Ichthyology (e 230076) 21 (3) on page 6, DOI: 10.1590/1982-0224-2023-0076, http://zenodo.org/record/13348880
DOI: 10.15468/dl.6ckb9m
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACC0088"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025460-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5067/gnss/gnss_highrate_q_001
title: Ground-Based Global Navigation Satellite System (GNSS) High-rate (1-second) QZSS broadcast ephemeris data
DOI: 10.15468/dl.7c2znj
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Graptemys ouachitensis sabinensis"
 ]
}

 The dataset includes 106 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025463-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5zph49
title: Occurrence Download

description: A dataset containing 4472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen)",
 "DatasetKey is ZFMK Ichthyology collection",
 "TaxonKey is Gasterosteus aculeatus"
 ]
}

 The dataset includes 4472 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020116-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/f1q1-at18
title: "StealthPhisher Phishing Attack\u00a0Dataset"

description: "The StealthPhisher Phishing Attack Dataset, generated at the Cybersecurity Lab, GLA University, Mathura, is a large, diverse, and recent Phishing Attack Dataset developed to address the evolving nature of phishing attacks. It comprises over 336,749 records, including 160,943 legitimate URLs and 175,806 phishing URLs, collected from reliable sources such as PhishTank. Reflecting the most recent phishing tactics, this dataset serves as a valuable resource for training and evaluating AI-based phishing detection systems.This dataset was generated as part of the research work presented in the article \u201cStealthPhisher: A Defensive Framework against Phishing Attack using Hybrid Deep Learning and GenAI,\u201d published in Expert Systems with Applications (StealthPhisher: A Defensive Framework against Phishing Attack using Hybrid Deep Learning and GenAI). Researchers using this dataset in their research work are kindly requested to cite this article."
DOI: 10.15468/dl.s3wf8r
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydrophis donaldi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020117-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9m8fpw
title: Occurrence Download

description: A dataset containing 26888777 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 26888777 records from 7583 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020091-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3gbnne
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Datos de ocurrencia de triatominos americanos del Laboratorio de Triatominos del CEPAVE (CONICET-UNLP)",
 "Geometry POLYGON((-108.78251 25.94293,-106.28729 24.46075,-103.72222 25.41519,-103.3643 29.11367,-105.57146 31.8577,-108.78251 31.84412,-109.92611 30.48568,-109.74715 28.33818,-109.5682 26.6679,-108.78251 25.94293))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 46 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002499-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1388714.10fu
title: SH1388714.10FU

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/sh1388715.10fu
title: SH1388715.10FU

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/sh1388719.10fu
title: SH1388719.10FU

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/sh1388721.10fu
title: SH1388721.10FU

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/sh1388722.10fu
title: SH1388722.10FU

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/sh1388725.10fu
title: SH1388725.10FU

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/sh1388726.10fu
title: SH1388726.10FU

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/sh1388727.10fu
title: SH1388727.10FU

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/sh1388728.10fu
title: SH1388728.10FU

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/sh1388731.10fu
title: SH1388731.10FU

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.qq925x
title: Occurrence Download

description: A dataset containing 2919 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Microspingus lateralis",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 2919 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076618-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.