cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2der9r
title: Occurrence Download

description: A dataset containing 476 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trachycephalus mesophaeus (Hensel, 1867)"
 ]
}

 The dataset includes 476 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0207951-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjtr8f
title: Occurrence Download

description: A dataset containing 2066 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lysiloma latisiliquum (L.) Benth."
 ]
}

 The dataset includes 2066 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165296-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.367ng5
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Dipsas catesbyi (Sentzen, 1796)",
 "Year 1980-2022"
 ]
}

 The dataset includes 78 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073053-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6vu4xg
title: Occurrence Download

description: A dataset containing 1487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-76.2059830999999974 43.0319687000000002, -76.2059830999999974 43.0339695600000027, -76.2059830999999974 43.0368938800000009, -76.2059830999999974 43.0392025599999997, -76.2059830999999974 43.0424347200000028, -76.2059830999999974 43.0444355699999974, -76.2059830999999974 43.0473598999999965, -76.2038273800000070 43.0473598999999965, -76.1998237699999947 43.0473598999999965, -76.1965900900000008 43.0473598999999965, -76.1942803099999963 43.0473598999999965, -76.1902766999999983 43.0473598999999965, -76.1879670000000004 43.0473598999999965, -76.1879670000000004 43.0448973100000032, -76.1879670000000004 43.0412034200000022, -76.1879670000000004 43.0373556199999996, -76.1879670000000004 43.0347391199999976, -76.1879670000000004 43.0319687000000002, -76.1924324900000016 43.0319687000000002, -76.1961281300000053 43.0319687000000002, -76.1988998599999974 43.0319687000000002, -76.2021335499999992 43.0319687000000002, -76.2059830999999974 43.0319687000000002))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 1487 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094714-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nuqjyy
title: Occurrence Download

description: A dataset containing 5895 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus shumardii Buckley"
 ]
}

 The dataset includes 5895 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165320-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2c9vm5
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-80.6288416000000012 41.0603905999999981, -80.6288416000000012 41.0633142000000007, -80.6288416000000012 41.0655733500000011, -80.6288416000000012 41.0673009300000018, -80.6288416000000012 41.0691614099999995, -80.6288416000000012 41.0720850100000021, -80.6288416000000012 41.0736796999999996, -80.6267183100000011 41.0736796999999996, -80.6245952299999971 41.0736796999999996, -80.6206144399999971 41.0736796999999996, -80.6171644199999946 41.0736796999999996, -80.6153067200000066 41.0736796999999996, -80.6126528599999972 41.0736796999999996, -80.6107951599999950 41.0736796999999996, -80.6074778299999934 41.0736796999999996, -80.6050893599999938 41.0736796999999996, -80.6024352999999962 41.0736796999999996, -80.6024352999999962 41.0711547699999997, -80.6024352999999962 41.0678325000000015, -80.6024352999999962 41.0649088899999981, -80.6024352999999962 41.0630484200000012, -80.6024352999999962 41.0603905999999981, -80.6042932000000008 41.0603905999999981, -80.6066816700000004 41.0603905999999981, -80.6103970799999985 41.0603905999999981, -80.6129182399999991 41.0603905999999981, -80.6162355700000006 41.0603905999999981, -80.6203490500000015 41.0603905999999981, -80.6239317600000049 41.0603905999999981, -80.6260548500000027 41.0603905999999981, -80.6288416000000012 41.0603905999999981))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 39 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094705-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebz5az
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-86.8960868000000062 33.4864555999999993, -86.8960868000000062 33.4873589600000017, -86.8960868000000062 33.4882623199999969, -86.8960868000000062 33.4889850100000004, -86.8960868000000062 33.4900690400000016, -86.8960868000000062 33.4915144200000015, -86.8960868000000062 33.4924779999999984, -86.8948816799999975 33.4924779999999984, -86.8933149899999933 33.4924779999999984, -86.8919893199999933 33.4924779999999984, -86.8913867499999952 33.4924779999999984, -86.8900610799999953 33.4924779999999984, -86.8890367000000055 33.4924779999999984, -86.8875302999999946 33.4924779999999984, -86.8875302999999946 33.4909121800000023, -86.8875302999999946 33.4898281400000002, -86.8875302999999946 33.4887441099999990, -86.8875302999999946 33.4877805300000020, -86.8875302999999946 33.4864555999999993, -86.8886751600000053 33.4864555999999993, -86.8894585099999972 33.4864555999999993, -86.8907841700000034 33.4864555999999993, -86.8916880299999974 33.4864555999999993, -86.8932547299999953 33.4864555999999993, -86.8945803999999953 33.4864555999999993, -86.8960868000000062 33.4864555999999993))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073071-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1217587.10fu
title: SH1217587.10FU

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/sh1217588.10fu
title: SH1217588.10FU

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/sh1217589.10fu
title: SH1217589.10FU

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/sh1217590.10fu
title: SH1217590.10FU

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/sh1217591.10fu
title: SH1217591.10FU

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.bsrgv9
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhodiola rosea"
 ]
}

 The dataset includes 83 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002813-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1217592.10fu
title: SH1217592.10FU

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/sh1217593.10fu
title: SH1217593.10FU

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/sh1217594.10fu
title: SH1217594.10FU

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/sh1217595.10fu
title: SH1217595.10FU

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/sh1217598.10fu
title: SH1217598.10FU

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/svdy2z
title: IRVC - University of California, Irvine Herbarium

description: Western U.S., especially southern California and Orange County; Baja California, Mexico.
DOI: 10.25345/c5d21rz1f
title: MassIVE MSV000100714 - Anticancer Potential of Pra-Sa-Chan-Dang Multi-Herb Formulation and Its Synergistic Effects with Cisplatin
title: This dataset represents untargeted LC-MS metabolomic profiling of a crude extract derived from a traditional polyherbal formulation (Pra_Sa_Chan_Dang) composed of 12 medicinal plant species. Analyses were performed in both positive and negative electrospray ionization modes. The dataset is intended for chemical profiling and metabolite annotation; no biological tissues, cell lines, or clinical samples were used.
DOI: 10.15468/3y25yl
title: LOB - California State University, Long Beach Herbarium

description: The herbarium has approximately 18,000 specimens preserved as dried, pressed specimens.
DOI: 10.5281/zenodo.18485461
title: ICHKI VA TASHQI AUDIT JARAYONIDA BUXGALTERIYA XISOBINING ROLI

description: Mazkur maqolada ichki va tashqi audit jarayonlarida buxgalteriya hisobining tutgan o‘rni, ahamiyati hamda funksional vazifalari kompleks tarzda yoritilgan. Tadqiqot davomida buxgalteriya hisobi audit jarayonining axborot bazasi sifatidagi roli, moliyaviy hisobotlarning ishonchliligini ta’minlashdagi o‘rni hamda auditorlik xulosalarining shakllanishiga ta’siri ilmiy jihatdan tahlil qilingan. Shuningdek, ichki auditda buxgalteriya hisobi orqali boshqaruv qarorlarini qabul qilish samaradorligini oshirish, tashqi auditda esa moliyaviy intizom va shaffoflikni ta’minlash masalalariga alohida e’tibor qaratilgan. Maqolada amaldagi buxgalteriya hisobi tizimi va audit amaliyoti o‘rtasidagi o‘zaro bog‘liqlik ochib berilib, ularning uyg‘unlashuvi korxona moliyaviy barqarorligini mustahkamlashdagi muhim omil sifatida asoslab berilgan. Tadqiqot natijalari buxgalteriya hisobi va audit tizimini takomillashtirishga doir ilmiy xulosalar va amaliy tavsiyalar ishlab chiqish imkonini beradi.
DOI: 10.5281/zenodo.18485462
title: ICHKI VA TASHQI AUDIT JARAYONIDA BUXGALTERIYA XISOBINING ROLI

description: Mazkur maqolada ichki va tashqi audit jarayonlarida buxgalteriya hisobining tutgan o‘rni, ahamiyati hamda funksional vazifalari kompleks tarzda yoritilgan. Tadqiqot davomida buxgalteriya hisobi audit jarayonining axborot bazasi sifatidagi roli, moliyaviy hisobotlarning ishonchliligini ta’minlashdagi o‘rni hamda auditorlik xulosalarining shakllanishiga ta’siri ilmiy jihatdan tahlil qilingan. Shuningdek, ichki auditda buxgalteriya hisobi orqali boshqaruv qarorlarini qabul qilish samaradorligini oshirish, tashqi auditda esa moliyaviy intizom va shaffoflikni ta’minlash masalalariga alohida e’tibor qaratilgan. Maqolada amaldagi buxgalteriya hisobi tizimi va audit amaliyoti o‘rtasidagi o‘zaro bog‘liqlik ochib berilib, ularning uyg‘unlashuvi korxona moliyaviy barqarorligini mustahkamlashdagi muhim omil sifatida asoslab berilgan. Tadqiqot natijalari buxgalteriya hisobi va audit tizimini takomillashtirishga doir ilmiy xulosalar va amaliy tavsiyalar ishlab chiqish imkonini beradi.
DOI: 10.5281/zenodo.18485436
title: INTERCULTURAL TRANSLATION OF FLOWER NAMES

description: The article investigates the difficulties and methods of translating flower names through the medium of various cultures and languages. The research scrutinizes the translation process of floral terms between English, Russian, and Uzbek languages, and how the interfacing of botanical naming, cultural meanings, and language rules contributes to it.
DOI: 10.5281/zenodo.18485437
title: INTERCULTURAL TRANSLATION OF FLOWER NAMES

description: The article investigates the difficulties and methods of translating flower names through the medium of various cultures and languages. The research scrutinizes the translation process of floral terms between English, Russian, and Uzbek languages, and how the interfacing of botanical naming, cultural meanings, and language rules contributes to it.