cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18223494
title: EKOLOGIK ONGNI SHAKLLANTIRISHDA MANZARA JANRI ORQALI TABIATNI ANGLASH IMKONIYATLARI

description: Mazkur maqolada tasviriy san’at ta’limida manzara janrining ekologik ongni shakllantirishdagi o‘rni va pedagogik imkoniyatlari ilmiy-metodik jihatdan tahlil qilinadi. Manzara asarlari orqali tabiatni estetik, ma’naviy hamda ekologik nuqtai nazardan anglash jarayoni yoritilib, o‘quvchilarda tabiatga nisbatan ongli va mas’uliyatli munosabatni tarbiyalash masalalari asoslab beriladi. Tadqiqotda rassom-pedagog olimlarning ilmiy qarashlari, mavjud adabiyotlar tahlili hamda amaliy ta’lim jarayonida qo‘llaniladigan badiiy-tahliliy va eksperimental metodik yondashuvlar qamrab olinadi. Manzara janrining ekologik tarbiyadagi ta’limiy va tarbiyaviy ahamiyati ochib beriladi.
DOI: 10.5281/zenodo.18223493
title: EKOLOGIK ONGNI SHAKLLANTIRISHDA MANZARA JANRI ORQALI TABIATNI ANGLASH IMKONIYATLARI

description: Mazkur maqolada tasviriy san’at ta’limida manzara janrining ekologik ongni shakllantirishdagi o‘rni va pedagogik imkoniyatlari ilmiy-metodik jihatdan tahlil qilinadi. Manzara asarlari orqali tabiatni estetik, ma’naviy hamda ekologik nuqtai nazardan anglash jarayoni yoritilib, o‘quvchilarda tabiatga nisbatan ongli va mas’uliyatli munosabatni tarbiyalash masalalari asoslab beriladi. Tadqiqotda rassom-pedagog olimlarning ilmiy qarashlari, mavjud adabiyotlar tahlili hamda amaliy ta’lim jarayonida qo‘llaniladigan badiiy-tahliliy va eksperimental metodik yondashuvlar qamrab olinadi. Manzara janrining ekologik tarbiyadagi ta’limiy va tarbiyaviy ahamiyati ochib beriladi.
DOI: 10.15468/dl.nm3cke
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Paris polyphylla chinensis",
 "Year 1950-2026"
 ]
}

 The dataset includes 200 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004028-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3x6xj
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Occurrence evidence, Human Observation, Material citation, Specimen, Fossil, Living Specimen, Material sample)",
 "Country is Nepal",
 "OccurrenceStatus is Present",
 "TaxonKey is Zanthoxylum acanthopodium"
 ]
}

 The dataset includes 75 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004030-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data43
title: Sequence of models obtained by backwards selection for urea of calves fed a milk replacer supplemented with different AA combination

description: The effects on growth performance of supplementation of four different AA combinations in a milk replacer (MR, 25.4% CP and 20.3% fat) based on skimmed milk powder and whey protein concentrate were evaluated in 76 Holstein male calves (3 ± 1.7 d old). The 4 MR were: CTRL with no AA supplementation; PG supplying additional 0.3% Pro and 0.1% Gly; FY supplying additional 0.2% Phe and 0.2% Tyr; KMT providing additional 0.62% Lys, 0.22% Met, and 0.61% Thr. All calves were fed the same milk allowance program and were weaned at 56 d of study. Concentrate intake was limited to minimize interference of potential differences in solid feed intake among treatments. Animals were weighed weekly, intakes recorded daily, and blood samples obtained at 2, 5, and 7 wk of study to determine serum urea and plasma AA concentrations. The file presents data of the backwards selection process to assess the model that fitted better ADG with the study variables (performance, intake, plasma AA balances). Data was collected at Torre Marimon IRTA calf facilities (Caldes de Montbui, Spain) during 2017.
description: Agency Name: Spanish Ministry of Economy and Competitivity
ID: AGL2015-68463-C2-1-P and AGL2015-68463-C2-2
DOI: 10.15468/dl.ppse2j
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "TaxonKey is Holothuria poli"
 ]
}

 The dataset includes 45 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004031-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18223486
title: Les déterminants de la pauvreté au Mali

description: Ce travail a pour objet d’identifier les déterminants de la pauvreté au Mali en utilisant les données de la dernière enquête harmonisée sur les conditions de vie des ménages, réalisée en 2021 par l’Institut national de la Statistique du Mali. Pour y parvenir, nous avons utilisé la régression à travers la méthode des moindres carrés ordinaires. Il ressort de cette régression que les principaux déterminants de la pauvreté monétaire sont i) l’activité économique du chef de ménage ; ii) le milieu de résidence ; iii) la taille du ménage ; iv) le sexe du chef de ménage ; v) le niveau d’instruction du chef de ménage ; vi) la principale source d’eau du ménage ; vii) l’accès à l’électricité du ménage ; viii) la sécurité alimentaire du ménage. L’étude plaide donc pour un renforcement des programmes d’accès aux services de base essentiels (éducation, santé, électricité, sécurité alimentaire) et le renforcement du développement rural.
DOI: 10.5281/zenodo.18223485
title: Les déterminants de la pauvreté au Mali

description: Ce travail a pour objet d’identifier les déterminants de la pauvreté au Mali en utilisant les données de la dernière enquête harmonisée sur les conditions de vie des ménages, réalisée en 2021 par l’Institut national de la Statistique du Mali. Pour y parvenir, nous avons utilisé la régression à travers la méthode des moindres carrés ordinaires. Il ressort de cette régression que les principaux déterminants de la pauvreté monétaire sont i) l’activité économique du chef de ménage ; ii) le milieu de résidence ; iii) la taille du ménage ; iv) le sexe du chef de ménage ; v) le niveau d’instruction du chef de ménage ; vi) la principale source d’eau du ménage ; vii) l’accès à l’électricité du ménage ; viii) la sécurité alimentaire du ménage. L’étude plaide donc pour un renforcement des programmes d’accès aux services de base essentiels (éducation, santé, électricité, sécurité alimentaire) et le renforcement du développement rural.
DOI: 10.5281/zenodo.17702490
title: Patient-specific digital twin gastrointestinal motion dataset

description: This dataset contains the synthetic digital twin gastrointestinal motion sequences generated using our fully automated digital twin pipeline. These twins model patient-specific, gastrointestinal temporally varying motion derived from static 3D clinical scans. For additional details, please refer to our publication “Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion” (PMB Article: 10.1088/1361-6560/ae2b46).

Each ZIP file includes the full set of 20 synthetic motion phases, along with the corresponding deformed images, masks, and deformation vector fields (DVFs) produced by the pipeline.
DOI: 10.5281/zenodo.17702489
title: Patient-specific digital twin gastrointestinal motion dataset

description: This dataset contains the synthetic digital twin gastrointestinal motion sequences generated using our fully automated digital twin pipeline. These twins model patient-specific, gastrointestinal temporally varying motion derived from static 3D clinical scans. For additional details, please refer to our publication “Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion” (PMB Article: 10.1088/1361-6560/ae2b46).

Each ZIP file includes the full set of 20 synthetic motion phases, along with the corresponding deformed images, masks, and deformation vector fields (DVFs) produced by the pipeline.
DOI: 10.15468/dl.9xgn8c
title: Occurrence Download

description: A dataset containing 8062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Betta pi, Betta krataios, Betta rubra, Betta breviobesus, Betta albimarginata, Betta tomi, Betta ideii, Betta tussyae, Betta chini, Betta stiktos, Betta coccina, Betta anabatoides, Betta simorum, Betta enisae, Betta lehi, Betta miniopinna, Betta hipposideros, Betta compuncta, Betta simplex, Betta schalleri, Betta midas, Betta brownorum, Betta akarensis, Betta pugnax, Betta picta, Betta taeniata, Betta livida, Betta stigmosa, Betta macrostoma, Betta obscura, Betta uberis, Betta chloropharynx, Betta apollon, Betta foerschi, Betta strohi, Betta persephone, Betta imbellis, Betta prima, Betta aurigans, Betta mandor, Betta smaragdina, Betta channoides, Betta edithae, Betta rutilans, Betta pallida, Ctenops nobilis, Pseudosphromenus dayi, Pseudosphromenus cupanus, Sphaerichthys selatanensis, Sphaerichthys osphromenoides, Sphaerichthys acrostoma, Sphaerichthys vaillanti, Luciocephalus aura, Luciocephalus pulcher, Osphronemus goramy, Osphronemus septemfasciatus, Osphronemus exodon, Osphronemus laticlavius, Parosphromenus parvulus, Parosphromenus harveyi, Parosphromenus alfredi, Parosphromenus quindecim, Parosphromenus tweediei, Parosphromenus allani, Parosphromenus nagyi, Parosphromenus sumatranus, Parosphromenus linkei, Parosphromenus opallios, Parosphromenus rubrimontis, Parosphromenus bintan, Parosphromenus filamentosus, Parosphromenus paludicola, Parosphromenus ornaticauda, Parosphromenus pahuensis, Parosphromenus anjunganensis, Parosphromenus deissneri, Belontia hasselti, Belontia signata, Macropodus hongkongensis, Macropodus ocellatus, Macropodus spechti, Macropodus erythropterus, Macropodus opercularis, Trichopodus trichopterus, Trichopodus pectoralis, Trichopodus microlepis, Trichogaster labiosa, Trichogaster chuna, Trichogaster lalius, Trichopsis vittata, Trichopsis schalleri, Trichopsis pumila, Macropodus phongnhaensis, Macropodus baviensis, Macropodus oligolepis, Macropodus lineatus, Trichopodus cantoris, Betta mahachaiensis, Betta hendra)",
 "HasCoordinate is true",
 "LastInterpreted is greater than or equal to 2023-01-01",
 "LastInterpreted is less than or equal to 2026-01-01"
 ]
}

 The dataset includes 8062 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004032-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18223509
title: ABDULLA AVLONIY PEDAGOGIK KONSEPSIYASINING STRATEGIK ASOSLARI VA UNING ZAMONAVIY STEM TA'LIMI BILAN INTEGRATSIYASI

description: Ушбу мақолада жадидчилик ҳаракатининг йирик намояндаси Абдулла Авлонийнинг педагогик мероси замонавий таълим трансформацияси контекстида тадқиқ этилади. Мутафаккирнинг «Фикр тарбияси» концепцияси ва унинг ҳозирги даврдаги STEM (Science, Technology, Engineering, Mathematics) таълими билан мантиқий ва методологик уйғунлиги илмий асослаб берилган. Тадқиқотда таълим ва тарбиянинг узвийлиги, «инсон капитали»ни ривожлантириш стратегиялари  учун муҳим бўлган инновацион таълим моделлари таҳлил қилинади.
DOI: 10.5281/zenodo.18223183
title: Behavioral Pattern Analysis and Anomaly Detection in Enterprise Network Connection Logs Using Unsupervised Machine Learning Methods

description: This dataset comprises enterprise network connection logs collected from operational monitoring systems and used to study behavioral patterns and anomalous activities. Each record represents an individual network connection event, capturing temporal information, source and destination addresses, port usage, associated services, and traffic length characteristics. The dataset supports the evaluation of unsupervised machine learning methods for network behavior modeling and anomaly detection, as reported in the associated study.
DOI: 10.5281/zenodo.18223508
title: ABDULLA AVLONIY PEDAGOGIK KONSEPSIYASINING STRATEGIK ASOSLARI VA UNING ZAMONAVIY STEM TA'LIMI BILAN INTEGRATSIYASI

description: Ушбу мақолада жадидчилик ҳаракатининг йирик намояндаси Абдулла Авлонийнинг педагогик мероси замонавий таълим трансформацияси контекстида тадқиқ этилади. Мутафаккирнинг «Фикр тарбияси» концепцияси ва унинг ҳозирги даврдаги STEM (Science, Technology, Engineering, Mathematics) таълими билан мантиқий ва методологик уйғунлиги илмий асослаб берилган. Тадқиқотда таълим ва тарбиянинг узвийлиги, «инсон капитали»ни ривожлантириш стратегиялари  учун муҳим бўлган инновацион таълим моделлари таҳлил қилинади.
DOI: 10.5281/zenodo.18223182
title: Behavioral Pattern Analysis and Anomaly Detection in Enterprise Network Connection Logs Using Unsupervised Machine Learning Methods

description: This dataset comprises enterprise network connection logs collected from operational monitoring systems and used to study behavioral patterns and anomalous activities. Each record represents an individual network connection event, capturing temporal information, source and destination addresses, port usage, associated services, and traffic length characteristics. The dataset supports the evaluation of unsupervised machine learning methods for network behavior modeling and anomaly detection, as reported in the associated study.
DOI: 10.15468/dl.rdfgbe
title: Occurrence Download

description: A dataset containing 328 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chad",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 328 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004033-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1277613.10fu
title: SH1277613.10FU

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/sh1277615.10fu
title: SH1277615.10FU

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/sh1277617.10fu
title: SH1277617.10FU

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/sh1277621.10fu
title: SH1277621.10FU

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/sh1277626.10fu
title: SH1277626.10FU

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/sh1277627.10fu
title: SH1277627.10FU

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/sh1277629.10fu
title: SH1277629.10FU

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/sh1277630.10fu
title: SH1277630.10FU

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.