cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34894/rd9ulm
title: Goede loopbaanstart voor een goede landing

description: This study aims to gain insight into what is needed to ensure that the first career phase of nurses and police officers is as positive as possible, as well as into the (contextual) factors that contribute to positive transition experiences, from the perspectives of both newly qualified and fully competent professionals. Based on the results of the study, conclusions can be drawn about how positive transition experiences may reduce the likelihood that newly graduated professionals become mentally overburdened and that they leave the organization (or even the profession) during the early career phase.
The central research question is: Which components during the first career phase, according to nurses and police officers, contribute to supporting the transition from a newly qualified nurse or police officer to an independent, confident, and fully competent professional?
DOI: 10.5281/zenodo.18301685
title: Comparative analysis of eccDNA and circRNA tools shows increased accuracy of tool combination

description: Input files of the paper "Comparative analysis of eccDNA and circRNA tools shows increased accuracy of tool combination". This project is linked to the following GitHub repository: https://github.com/ZabalaAitor/benchmarking/
DOI: 10.5281/zenodo.15783792
title: Comparative analysis of eccDNA and circRNA tools shows increased accuracy of tool combination

description: Input files of the paper "Comparative analysis of eccDNA and circRNA tools shows increased accuracy of tool combination". This project is linked to the following GitHub repository: https://github.com/ZabalaAitor/benchmarking/
DOI: 10.15468/dl.gcb3hj
title: Occurrence Download

description: A dataset containing 87744 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coryphaena hippurus",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 87744 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009763-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18471610
title: TA'LIM JARAYONIDA MULOQOT ORQALI TAFAKKURNI RIVOJLANTIRISHNING SAMARALI PEDAGOGIK USULLARI

description: Ushbu maqola ta`lim jarayonida muloqot orqali tafakkurni rivojlantirishning samarali pedagogik usullari,  ilmiy va amaliy ahamiyati yoritilgan. Dars mobaynida qo‘llaniladigan pedagogik muloqot metodlari bayon etilgan. Ta’lim sifatini oshirish bugungi kunning dolzarb masalalaridan ekanligi hamda respublikamizda ta’lim sifatini oshirish uchun olib borilayotgan islohotlar, davlatimiz rahbari tomonidan ishlab chiqilgan qaror va farmonlar haqida bayon etilgan. Ta’lim sifatini oshirishda pedagogik muloqotning o`rni va ahamiyati haqida tadqiqotchi olimlar fikrlari o`rganilgan, Pedagogik muloqotlarning strukturaviy elementlari va ularning tafsilotlari misollar orqali tushuntirilgan. Pedagogik muloqot metodlarining turlari, ularni to‘g‘ri tanlash va samarali qo‘llashning ta’lim jarayoni muvaffaqiyatidagi o`rni to`g`risida fikrlar berilgan. Shuningdek, ushbu ishda pedagogik muloqot va metodlarning turlari,  zamonaviy yondashuvlar yoritilgan. Tadqiqot so`ngida ta’lim jarayoni samaradorligini oshirishda muhim bo`lgan jixatlar bo`yicha xulosalar berilgan hamda ta’lim muassasalarida samarali pedagogik muloqotni tashkil etish uchun tavsiyalar ishlab chiqilgan.
DOI: 10.5281/zenodo.18471609
title: TA'LIM JARAYONIDA MULOQOT ORQALI TAFAKKURNI RIVOJLANTIRISHNING SAMARALI PEDAGOGIK USULLARI

description: Ushbu maqola ta`lim jarayonida muloqot orqali tafakkurni rivojlantirishning samarali pedagogik usullari,  ilmiy va amaliy ahamiyati yoritilgan. Dars mobaynida qo‘llaniladigan pedagogik muloqot metodlari bayon etilgan. Ta’lim sifatini oshirish bugungi kunning dolzarb masalalaridan ekanligi hamda respublikamizda ta’lim sifatini oshirish uchun olib borilayotgan islohotlar, davlatimiz rahbari tomonidan ishlab chiqilgan qaror va farmonlar haqida bayon etilgan. Ta’lim sifatini oshirishda pedagogik muloqotning o`rni va ahamiyati haqida tadqiqotchi olimlar fikrlari o`rganilgan, Pedagogik muloqotlarning strukturaviy elementlari va ularning tafsilotlari misollar orqali tushuntirilgan. Pedagogik muloqot metodlarining turlari, ularni to‘g‘ri tanlash va samarali qo‘llashning ta’lim jarayoni muvaffaqiyatidagi o`rni to`g`risida fikrlar berilgan. Shuningdek, ushbu ishda pedagogik muloqot va metodlarning turlari,  zamonaviy yondashuvlar yoritilgan. Tadqiqot so`ngida ta’lim jarayoni samaradorligini oshirishda muhim bo`lgan jixatlar bo`yicha xulosalar berilgan hamda ta’lim muassasalarida samarali pedagogik muloqotni tashkil etish uchun tavsiyalar ishlab chiqilgan.
DOI: 10.15468/dl.wbwfjh
title: Occurrence Download

description: A dataset containing 622172 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Impatiens glandulifera"
 ]
}

 The dataset includes 622172 records from 1168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009759-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1209570.10fu
title: SH1209570.10FU

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/sh1209572.10fu
title: SH1209572.10FU

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/sh1209574.10fu
title: SH1209574.10FU

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/sh1209575.10fu
title: SH1209575.10FU

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/sh1209576.10fu
title: SH1209576.10FU

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/sh1209577.10fu
title: SH1209577.10FU

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/sh1209579.10fu
title: SH1209579.10FU

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.f5jaca
title: Occurrence Download

description: A dataset containing 1569 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptophoxus falcatus (G.O.Sars, 1883)"
 ]
}

 The dataset includes 1569 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122770-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9kcu3f
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-87.7867312000000055 41.9383339000000035, -87.7867312000000055 41.9396819199999982, -87.7867312000000055 41.9415484000000021, -87.7867312000000055 41.9437259700000027, -87.7867312000000055 41.9457998399999994, -87.7867312000000055 41.9483921799999990, -87.7867312000000055 41.9498438899999968, -87.7867312000000055 41.9512956000000017, -87.7847531500000002 41.9512956000000017, -87.7819422299999985 41.9512956000000017, -87.7786107799999940 41.9512956000000017, -87.7763204000000030 41.9512956000000017, -87.7763204000000030 41.9503623599999997, -87.7763204000000030 41.9484958700000021, -87.7763204000000030 41.9459035300000025, -87.7763204000000030 41.9446592099999975, -87.7763204000000030 41.9426890299999968, -87.7763204000000030 41.9403040799999971, -87.7763204000000030 41.9383339000000035, -87.7784025600000035 41.9383339000000035, -87.7814216900000019 41.9383339000000035, -87.7827750999999949 41.9383339000000035, -87.7847531500000002 41.9383339000000035, -87.7867312000000055 41.9383339000000035))",
 "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 141 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087162-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w5xw6z
title: Occurrence Download

description: A dataset containing 4326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 4326 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056142-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmgkxt
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptomysis lingvura (G.O.Sars, 1866)"
 ]
}

 The dataset includes 165 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122753-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.444b5g
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus bushii L.H.Bailey",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056162-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxwk65
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eubela mcgintyi Schwengel, 1943"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087180-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6pyjge
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arabis coronata Nakai"
 ]
}

 The dataset includes 44 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044105-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7msytv
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Etrema spurca (Hinds, 1843)"
 ]
}

 The dataset includes 76 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087169-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ah3kwr
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-83.82799 9.2599,-83.82808 9.26274,-83.82835 9.26557,-83.8288 9.26837,-83.82942 9.27115,-83.83022 9.27387,-83.83119 9.27655,-83.83232 9.27915,-83.83362 9.28168,-83.83508 9.28413,-83.83668 9.28648,-83.83844 9.28872,-83.84033 9.29085,-83.84235 9.29286,-83.84449 9.29474,-83.84675 9.29648,-83.84912 9.29808,-83.85158 9.29953,-83.85412 9.30082,-83.85675 9.30194,-83.85944 9.30291,-83.86218 9.3037,-83.86497 9.30432,-83.8678 9.30476,-83.87064 9.30503,-83.8735 9.30512,-83.87636 9.30503,-83.8792 9.30476,-83.88203 9.30432,-83.88482 9.3037,-83.88756 9.30291,-83.89025 9.30194,-83.89288 9.30082,-83.89542 9.29953,-83.89788 9.29808,-83.90025 9.29648,-83.90251 9.29474,-83.90465 9.29286,-83.90667 9.29085,-83.90856 9.28872,-83.91032 9.28648,-83.91192 9.28413,-83.91338 9.28168,-83.91468 9.27915,-83.91581 9.27655,-83.91678 9.27387,-83.91758 9.27115,-83.9182 9.26837,-83.91865 9.26557,-83.91892 9.26274,-83.91901 9.2599,-83.91892 9.25706,-83.91865 9.25423,-83.9182 9.25143,-83.91758 9.24865,-83.91678 9.24593,-83.91581 9.24325,-83.91468 9.24065,-83.91338 9.23812,-83.91192 9.23567,-83.91032 9.23332,-83.90856 9.23108,-83.90667 9.22895,-83.90465 9.22694,-83.90251 9.22506,-83.90025 9.22332,-83.89788 9.22172,-83.89542 9.22027,-83.89288 9.21898,-83.89025 9.21786,-83.88756 9.21689,-83.88482 9.2161,-83.88203 9.21548,-83.8792 9.21504,-83.87636 9.21477,-83.8735 9.21468,-83.87064 9.21477,-83.8678 9.21504,-83.86497 9.21548,-83.86218 9.2161,-83.85944 9.21689,-83.85675 9.21786,-83.85412 9.21898,-83.85158 9.22027,-83.84912 9.22172,-83.84675 9.22332,-83.84449 9.22506,-83.84235 9.22694,-83.84033 9.22895,-83.83844 9.23108,-83.83668 9.23332,-83.83508 9.23567,-83.83362 9.23812,-83.83232 9.24065,-83.83119 9.24325,-83.83022 9.24593,-83.82942 9.24865,-83.8288 9.25143,-83.82835 9.25423,-83.82808 9.25706,-83.82799 9.2599))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 164 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056137-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g763fj
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kinosternon alamosae Berry & Legler, 1980"
 ]
}

 The dataset includes 115 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122723-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.538tax
title: Occurrence Download

description: A dataset containing 6349 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ochthoeca fumicolor P.L.Sclater, 1856"
 ]
}

 The dataset includes 6349 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056167-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qyngku
title: Occurrence Download

description: A dataset containing 25262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-87.7285061999999982 41.9645960000000002, -87.7285061999999982 41.9667968299999998, -87.7285061999999982 41.9688818200000000, -87.7285061999999982 41.9705034799999979, -87.7285061999999982 41.9722409800000023, -87.7285061999999982 41.9747892999999976, -87.7285061999999982 41.9761792999999983, -87.7265333699999985 41.9761792999999983, -87.7235157500000042 41.9761792999999983, -87.7215427000000005 41.9761792999999983, -87.7196856999999994 41.9761792999999983, -87.7163199000000020 41.9761792999999983, -87.7137665300000009 41.9761792999999983, -87.7108649799999966 41.9761792999999983, -87.7088919199999992 41.9761792999999983, -87.7054100499999976 41.9761792999999983, -87.7032051000000052 41.9761792999999983, -87.7032051000000052 41.9743259700000024, -87.7032051000000052 41.9715459800000019, -87.7032051000000052 41.9698084899999984, -87.7032051000000052 41.9683026599999991, -87.7032051000000052 41.9661018299999995, -87.7032051000000052 41.9645960000000002, -87.7068028000000055 41.9645960000000002, -87.7084276700000061 41.9645960000000002, -87.7107489100000066 41.9645960000000002, -87.7128380300000003 41.9645960000000002, -87.7153914000000015 41.9645960000000002, -87.7189893299999994 41.9645960000000002, -87.7213105700000000 41.9645960000000002, -87.7246763800000053 41.9645960000000002, -87.7268815599999954 41.9645960000000002, -87.7285061999999982 41.9645960000000002))",
 "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 25262 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087168-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.