cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1107501.10fu
title: SH1107501.10FU

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/sh1107502.10fu
title: SH1107502.10FU

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/sh1107506.10fu
title: SH1107506.10FU

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/sh1107507.10fu
title: SH1107507.10FU

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/sh1107511.10fu
title: SH1107511.10FU

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/sh1107515.10fu
title: SH1107515.10FU

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/sh1107518.10fu
title: SH1107518.10FU

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/sh1107519.10fu
title: SH1107519.10FU

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/sh1107520.10fu
title: SH1107520.10FU

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/sh1107522.10fu
title: SH1107522.10FU

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.7rjyzb
title: Occurrence Download

description: A dataset containing 19066 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Sceloporus edwardtaylori Smith, 1936, Sceloporus consobrinus Baird & Girard, 1854, Sceloporus exsul Dixon, Ketchersid & Lieb, 1972, Sceloporus internasalis Smith & Bumzahem, 1955, Sceloporus acanthinus Bocourt, 1873, Sceloporus smaragdinus Bocourt, 1873, Sceloporus druckercolini Perez-Ramos & Saldana De La Riva, 2008, Sceloporus adleri Smith & Savitzky, 1974, Sceloporus scitulus Smith, 1942, Sceloporus shannonorum Langebartel, 1959, Sceloporus anahuacus Lara-Gongora, 1983, Sceloporus bulleri Boulenger, 1895, Sceloporus insignis Webb, 1967, Sceloporus jarrovii Cope, 1875, Sceloporus cyanogenys Cope, 1885, Sceloporus cyanostictus Axtell & Axtell, 1971, Sceloporus serrifer Cope, 1866, Sceloporus aureolus Smith, 1942, Sceloporus asper Boulenger, 1897, Sceloporus bimaculosus Phelan & Brattstrom, 1955, Sceloporus uniformis Phelan & Brattstrom, 1955, Sceloporus lineatulus Dickerson, 1919, Sceloporus brownorum Smith, Watkins-Colwell, Lemos-Espinal & Chiszar, 1997, Sceloporus samcolemani Smith & Hall, 1974, Sceloporus chaneyi Liner & Dixon, 1992, Sceloporus slevini Smith, 1937, Sceloporus unicanthalis Smith, 1937, Sceloporus aurantius Grummer & Bryson, 2014, Sceloporus subniger Poglayen & Smith, 1958, Sceloporus aeneus Wiegmann, 1828, Sceloporus ochoterenae Smith, 1934, Sceloporus nelsoni Cochran, 1923, Sceloporus gadoviae Boulenger, 1905, Sceloporus carinatus Smith, 1936, Sceloporus squamosus Bocourt, 1874, Sceloporus angustus (Dickerson, 1919), Sceloporus chrysostictus Cope, 1866, Sceloporus smithi Hartweg & Oliver, 1937, Sceloporus teapensis Günther, 1890, Sceloporus minor Cope, 1885)"
 ]
}

 The dataset includes 19066 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013509-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gfqzp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Miscanthicoccus miscanthi (Takahashi, 1928)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013510-250310093411724/datasets/export for details.
DOI: 10.48511/gl6nlzhi
title: Akokli Creek Hydrometric (LCKAKO01H)

description: This dataset contains hydrometric data for Akokli Creek. This site is part of the Columbia Basin Water Monitoring Framework program (CBWMF). The CBWMF is a coordinated monitoring network that tracks how climate change and other impacts are affecting water supply for communities and ecosystems across the Canadian Columbia Basin region. This site was recommended for monitoring by the Local Reference Group as it is a source of drinking water, and has been identified as fish habitat including for species that have red or blue listed conservation status. Monitoring this site increases the geographic distribution of the network. This stream was monitored by the Water Survey of Canada from 1947 to 1952, allowing for some comparison of historic and current data. Potential impacts to this watershed, as identified by the Local Reference Group, are wildfires and forestry.
DOI: 10.15468/dl.uh94xv
title: Occurrence Download

description: A dataset containing 159769 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((28.04739 -25.70216,27.986 -25.87962,28.17501 -25.9697,28.38664 -25.86799,28.38987 -25.69634,28.19924 -25.61479,28.04739 -25.70216))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 159769 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013504-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/4a2429b382434708
title: Custom collection of model data from Cabauw between 1 and 31 May 2021
DOI: 10.5281/zenodo.15042257
title: Simulation of Image Encryption to Protect Visual Data

description: The MATLAB implementation presented here renders the original grayscale image prior to encryption, wherein each pixel intensity is defined within the standard 8-bit range (0 to 255), with 0 representing black and 255 denoting white. The encryption methodology employs a novel 4D hyperchaotic system, characterized by its non-linear dynamics and sensitivity to initial conditions, to transform pixel values and secure digital content. This system ensures robust encryption by leveraging the intrinsic unpredictability of chaotic trajectories, thereby obscuring spatial correlations and statistical patterns inherent in the original image. The proposed algorithm is explicitly designed to address vulnerabilities in conventional encryption schemes, offering enhanced security for applications in digital communications and data storage.
DOI: 10.5281/zenodo.15042258
title: Simulation of Image Encryption to Protect Visual Data

description: The MATLAB implementation presented here renders the original grayscale image prior to encryption, wherein each pixel intensity is defined within the standard 8-bit range (0 to 255), with 0 representing black and 255 denoting white. The encryption methodology employs a novel 4D hyperchaotic system, characterized by its non-linear dynamics and sensitivity to initial conditions, to transform pixel values and secure digital content. This system ensures robust encryption by leveraging the intrinsic unpredictability of chaotic trajectories, thereby obscuring spatial correlations and statistical patterns inherent in the original image. The proposed algorithm is explicitly designed to address vulnerabilities in conventional encryption schemes, offering enhanced security for applications in digital communications and data storage.
DOI: 10.15468/dl.rztf2c
title: Occurrence Download

description: A dataset listing the 44 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Sceloporus edwardtaylori Smith, 1936, Sceloporus consobrinus Baird & Girard, 1854, Sceloporus exsul Dixon, Ketchersid & Lieb, 1972, Sceloporus internasalis Smith & Bumzahem, 1955, Sceloporus acanthinus Bocourt, 1873, Sceloporus smaragdinus Bocourt, 1873, Sceloporus druckercolini Perez-Ramos & Saldana De La Riva, 2008, Sceloporus adleri Smith & Savitzky, 1974, Sceloporus scitulus Smith, 1942, Sceloporus shannonorum Langebartel, 1959, Sceloporus anahuacus Lara-Gongora, 1983, Sceloporus bulleri Boulenger, 1895, Sceloporus insignis Webb, 1967, Sceloporus jarrovii Cope, 1875, Sceloporus cyanogenys Cope, 1885, Sceloporus cyanostictus Axtell & Axtell, 1971, Sceloporus serrifer Cope, 1866, Sceloporus aureolus Smith, 1942, Sceloporus asper Boulenger, 1897, Sceloporus bimaculosus Phelan & Brattstrom, 1955, Sceloporus uniformis Phelan & Brattstrom, 1955, Sceloporus lineatulus Dickerson, 1919, Sceloporus brownorum Smith, Watkins-Colwell, Lemos-Espinal & Chiszar, 1997, Sceloporus samcolemani Smith & Hall, 1974, Sceloporus chaneyi Liner & Dixon, 1992, Sceloporus slevini Smith, 1937, Sceloporus unicanthalis Smith, 1937, Sceloporus aurantius Grummer & Bryson, 2014, Sceloporus subniger Poglayen & Smith, 1958, Sceloporus aeneus Wiegmann, 1828, Sceloporus ochoterenae Smith, 1934, Sceloporus nelsoni Cochran, 1923, Sceloporus gadoviae Boulenger, 1905, Sceloporus carinatus Smith, 1936, Sceloporus squamosus Bocourt, 1874, Sceloporus angustus (Dickerson, 1919), Sceloporus chrysostictus Cope, 1866, Sceloporus smithi Hartweg & Oliver, 1937, Sceloporus teapensis Günther, 1890, Sceloporus minor Cope, 1885)"
 ]
}

 The dataset's 44 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013511-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxpqch
title: Occurrence Download

description: A dataset containing 6901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Tremarctos ornatus (F.G.Cuvier, 1825)"
 ]
}

 The dataset includes 6901 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013515-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dspu7a
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pulvinaria psidii Maskell, 1893",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 102 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013517-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8frej
title: Occurrence Download

description: A dataset containing 10669 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Connochaetes taurinus (Burchell, 1823)"
 ]
}

 The dataset includes 10669 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013516-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22003/xfel.eu-data-009037-00
title: Commissioning of twin bunch delivery for speckle visibility measurements at MID
DOI: 10.15468/dl.aehm8j
title: Occurrence Download

description: A dataset containing 304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Boana wavrini (Parker, 1936)"
 ]
}

 The dataset includes 304 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013519-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48511/48l9gpyz
title: Davis Creek Hydrometric Station (MCKDAV01H)

description: This dataset contains data from a hydrometric station on Davis Creek. Previously operated under the Kootenay Watershed Science program, this site is now part of Living Lakes Canada's Columbia Basin Water Monitoring Framework program (CBWMF). The CBWMF is a coordinated monitoring network that tracks how climate change and other impacts are affecting water supply for communities and ecosystems across the Canadian Columbia Basin region.
DOI: 10.15468/dl.xc32xk
title: Occurrence Download

description: A dataset listing the 25 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pseudognaphalium Kirp."
 ]
}

 The dataset's 25 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013514-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8dezw
title: Occurrence Download

description: A dataset listing the 234 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.31_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata"
 ]
}

 The dataset's 234 records were derived from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013512-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7z9sg
title: Occurrence Download

description: A dataset containing 9912 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Synallaxis cinerascens Temminck, 1823"
 ]
}

 The dataset includes 9912 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013522-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.