cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0192456.10fu
title: SH0192456.10FU

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/sh0192457.10fu
title: SH0192457.10FU

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: 10.3886/e242819
title: Weekly Cumulative Percentage of Children Ages 6 Months -17 Years Who Are Up to date with COVID-19 Vaccines and Comparison Between 2023-24 and 2024-25 by Jurisdiction

description: Weekly Cumulative Percentage of Children 6 Months17 Years Who Are Up to Date with COVID-19 Vaccines and Comparison Between 202526and Previous Seasons, by Jurisdiction.

 Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from theNational Immunization Survey-Child COVID Module (NIS-CCM) (https://www.cdc.gov/nis/about/index.html). The NIS-CCM was discontinued at the end of 2023 and questions regarding COVID-19 vaccination status and intent were added to theNational Immunization Survey-Flu (NIS-Flu) (https://www.cdc.gov/nis/about/index.html).

 NIS-CCM and NIS-Flu are national random-digit dial cellular telephone surveys of households with children ages 6 months through 17 years; NIS-Flu is conducted during October-June. The respondent to a NIS-Flu survey is a parent or guardian who said they were knowledgeable about the childs vaccination history.All estimates are based upon parental report of receipt of vaccination and month of that vaccination.

 Weekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 202324 COVID-19 vaccines were first available mid-September 2023, and 202425 and 202526 COVID-19 vaccines were first available at the end of August 2024 and 2025, respectively.

 The NIS-Flu data posted on the dashboard below are currently a few days behind the data that are posted on theRespiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.
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description: (Downloaded 1/8/2026)
DOI: 10.15156/bio/sh0192458.10fu
title: SH0192458.10FU

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/sh0192459.10fu
title: SH0192459.10FU

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: 10.3886/e242819v1
title: Weekly Cumulative Percentage of Children Ages 6 Months -17 Years Who Are Up to date with COVID-19 Vaccines and Comparison Between 2023-24 and 2024-25 by Jurisdiction

description: Weekly Cumulative Percentage of Children 6 Months17 Years Who Are Up to Date with COVID-19 Vaccines and Comparison Between 202526and Previous Seasons, by Jurisdiction.

 Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from theNational Immunization Survey-Child COVID Module (NIS-CCM) (https://www.cdc.gov/nis/about/index.html). The NIS-CCM was discontinued at the end of 2023 and questions regarding COVID-19 vaccination status and intent were added to theNational Immunization Survey-Flu (NIS-Flu) (https://www.cdc.gov/nis/about/index.html).

 NIS-CCM and NIS-Flu are national random-digit dial cellular telephone surveys of households with children ages 6 months through 17 years; NIS-Flu is conducted during October-June. The respondent to a NIS-Flu survey is a parent or guardian who said they were knowledgeable about the childs vaccination history.All estimates are based upon parental report of receipt of vaccination and month of that vaccination.

 Weekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 202324 COVID-19 vaccines were first available mid-September 2023, and 202425 and 202526 COVID-19 vaccines were first available at the end of August 2024 and 2025, respectively.

 The NIS-Flu data posted on the dashboard below are currently a few days behind the data that are posted on theRespiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.
Read less
description: (Downloaded 1/8/2026)
DOI: 10.15156/bio/sh0192460.10fu
title: SH0192460.10FU

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/sh0192461.10fu
title: SH0192461.10FU

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/sh0192462.10fu
title: SH0192462.10FU

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/sh0192463.10fu
title: SH0192463.10FU

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/sh0192464.10fu
title: SH0192464.10FU

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/sh0192465.10fu
title: SH0192465.10FU

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.x7pfq8
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Hemideina maori (Pictet & Saussure, 1893)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 62 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018219-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2u9rhq
title: Occurrence Download

description: A dataset containing 47524 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is greater than or equal to 1970",
 "TaxonKey is Trachemys scripta (Thunberg In Schoepff, 1792)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 47524 records from 308 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063149-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hvdypq
title: Occurrence Download

description: A dataset containing 42464 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthocoridae"
 ]
}

 The dataset includes 42464 records from 306 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063533-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5vfbsp
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chamaecrista gonoclada (Benth.) H.S.Irwin & Barneby"
 ]
}

 The dataset includes 45 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072091-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rligyu
title: Occurrence Download

description: A dataset containing 729 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 729 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009286-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38av7w
title: Occurrence Download

description: A dataset containing 8482 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Base de datos sobre la flora de Durango",
 "Geometry POLYGON((-123.64723 18.22868,-87.35277 18.22868,-87.35277 32.77132,-123.64723 32.77132,-123.64723 18.22868))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 8482 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067883-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhkumf
title: Occurrence Download

description: A dataset containing 316 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phractocephalus hemioliopterus (Bloch & Schneider, 1801)"
 ]
}

 The dataset includes 316 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058403-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gmmpyu
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Buenia lombartei Kovačić, Ordines & Schliewen, 2018"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068158-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lasuio
title: Occurrence Download

description: A dataset containing 39835 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Jardín Botánico de Córdoba: Herbarium COA"
 ]
}

 The dataset includes 39835 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009286-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u4abw6
title: Occurrence Download

description: A dataset containing 77042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crocodylus acutus (Cuvier, 1807), Oreophasis derbianus G.R.Gray, 1844, Ara militaris (Linnaeus, 1766), Amazona finschi (P.L.Sclater, 1864), Cardellina versicolor Salvin, 1863, Ateles geoffroyi Kuhl, 1820, Tapirus bairdii (Gill, 1865), Panthera onca (Linnaeus, 1758), Leopardus pardalis (Linnaeus, 1758), Leopardus wiedii (Schinz, 1821), Lynx rufus (Schreber, 1777), Puma concolor (Linnaeus, 1771), Herpailurus yagouaroundi (É.Geoffroy Saint-Hilaire, 1803), Ceratozamia norstogii D.W.Stev., Dioon merolae De Luca, Sabato & Vázq.Torres, Pinus strobus L., Avicennia bicolor Standl.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1970-2020"
 ]
}

 The dataset includes 77042 records from 470 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074447-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbkgfj
title: Occurrence Download

description: A dataset containing 18709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dipodomys merriami Mearns, 1890",
 "HasCoordinate is True",
 "Country is United States of America",
 "Year is greater than or equal to 1960",
 "Year is less than or equal to 2020",
 "Month is greater than or equal to January",
 "Month is less than or equal to December",
 "HasGeospatialIssue is False",
 "DecimalLatitude is greater than or equal to 24.5",
 "DecimalLatitude is less than or equal to 49.5",
 "DecimalLongitude is greater than or equal to -125.0",
 "DecimalLongitude is less than or equal to -66.5"
 ]
}

 The dataset includes 18709 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116843-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vr7sna
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Dasineura dielsi (Rübsaamen, 1916)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009286-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eoxss1
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-98.42746 19.24891,-98.42497 19.1914,-98.40806 19.18951,-98.36429 19.20633,-98.36858 19.21749,-98.38506 19.24084,-98.4048 19.26075,-98.42746 19.24891))",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009056-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mx5a8z
title: Occurrence Download

description: A dataset containing 9088 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Malosma laurina (Nutt. ex Torr. & A.Gray) Engl."
 ]
}

 The dataset includes 9088 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114897-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.