cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0094015.10fu
title: SH0094015.10FU

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: 10.13145/bacdive101975.20230509.8.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive101975.20251217.10
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0094016.10fu
title: SH0094016.10FU

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: 10.17632/rty8hdb2xm.1
title: GreenFlyDB: An Image Dataset for Greenfly-Based Urban Waste Detection and Drone-Assisted Environmental Monitoring

description: GreenFlyDB is a publicly available image dataset designed for greenfly (aphid) detection in agricultural and urban environmental monitoring scenarios. The dataset is intended for object detection tasks, where greenflies are exploited as biological indicators of organic waste presence and environmental degradation.

The dataset contains a total of 2,405 RGB images collected from publicly accessible online sources under diverse real-world conditions, including variations in illumination, background complexity, camera viewpoints, and insect scale. These variations aim to reflect realistic operational conditions encountered in drone-assisted and ground-based monitoring systems.

Images are organized into two classes: Green Fly, containing visible aphids annotated with bounding boxes, and Not Green Fly, which includes visually similar insect species deliberately selected as hard negative samples to reduce false detections. All annotations were manually produced using bounding boxes and are provided in YOLO format, where each image is associated with a corresponding text file containing normalized bounding-box coordinates.

The dataset is split into fixed and mutually exclusive subsets for reproducible research: 70% training, 20% validation, and 10% testing. The same split is maintained across all experiments to ensure fair benchmarking of object detection models.

GreenFlyDB is suitable for training and evaluating real-time deep learning–based object detection models, particularly YOLO-based architectures, and supports research in precision agriculture, urban waste monitoring, bio-inspired environmental assessment, and autonomous drone-assisted inspection systems.
DOI: 10.13145/bacdive101976.20230509.8.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive101976.20251217.10
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0094017.10fu
title: SH0094017.10FU

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/sh0094018.10fu
title: SH0094018.10FU

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: 10.13145/bacdive101977.20230509.8.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive101977.20251217.10
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0094019.10fu
title: SH0094019.10FU

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: 10.13145/bacdive101978.20230509.8.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive101978.20251217.10
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0094020.10fu
title: SH0094020.10FU

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.3gje6s
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ramaria Fr. ex Bonord.",
 "Year 1986-2025"
 ]
}

 The dataset includes 92 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012617-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27246765
title: Future pandemics vaccination

description: This dataset comprises survey responses collected from participants regarding their intention to receive vaccination in the event of a future pandemic. The data captures a range of variables including demographic information (e.g., age, gender, education level, geographic location), past vaccination behaviors, trust in public health authorities, perception of vaccine safety and efficacy, and sources of health-related information. Participants were asked to indicate their likelihood of accepting a vaccine during a hypothetical future pandemic scenario, along with factors that might influence their decision-making, such as government recommendations, peer influence, media narratives, and perceived personal risk.
DOI: 10.15468/dl.cczhtf
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dendroctonus punctatus LeConte, 1868)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012621-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60797/irj.2025.153.43.1
title: Влияние факторов опыта на элементы структуры урожая материнских форм гибридов кукурузы первого срока посева, 2022–2024 гг

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.60797/irj.2025.153.43.2
title: Влияние факторов опыта на элементы структуры урожая материнских форм гибридов кукурузы второго срока посева, 2022–2024 гг

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.60797/irj.2025.153.45.1
title: Сезонный ритм развития таксонов рода Syringa

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.15468/dl.8h9379
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "GadmGid is ESP.1.1_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Mustela nivalis Linnaeus, 1766"
 ]
}

 The dataset includes 49 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012618-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60797/irj.2025.153.49.1
title: Данные для расчета интегрального показателя асимметрии между Казахстаном и Южным Уралом

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.60797/irj.2025.153.47.4
title: Типовые параметры излучения кислород-йодного лазера и их номинальные значения

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.60797/irj.2025.153.49.2
title: Результаты расчета интегрального показателя и асимметрии

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.60797/irj.2025.153.52.1
title: Таблица 1 - Компоненты медиакомпетентности будущих учителей информатики в соответствии с уровнями развития методической компетентности

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.60797/irj.2025.153.52.2
title: Результаты сформированности медиакомпетентности у студентов первого, второго и третьего курса с учетом, того что методическая компетентность у студентов сформирована на продуктивном и творческом уровнях

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.15468/dl.xqdtcd
title: Occurrence Download

description: A dataset containing 896 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhapis excelsa (Thunb.) A.Henry"
 ]
}

 The dataset includes 896 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012620-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60797/irj.2025.153.57.1
title: Уровни лейкоцитов, СОЭ и плазменного фракталкина в крови у пациентов с внебольничной бактериальной и вирусной пневмонией

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.60797/irj.2025.153.61.1
title: Рецептура печенья «Нарезное»

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.60797/irj.2025.153.60.2
title: Недоимка организаций, индивидуальных предпринимателей и граждан, находящихся в процедуре банкротства

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.60797/irj.2025.153.61.2
title: Экспериментальные образцы

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.60797/irj.2025.153.61.3
title: Органолептические показатели качества печенья

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.60797/irj.2025.153.60.4
title: Показатели оценки эффективности налогового контроля

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.60797/irj.2025.153.60.5
title: Анализ доначислений по результатам проведения налоговых проверок

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.60797/irj.2025.153.60.6
title: Показатели планирования ВНП и фактических результатов (2019 – 1 полугодие 2022 гг.)

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.60797/irj.2025.153.61.9
title: Пищевая ценность печенья

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.15468/dl.arn6mw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lophyrus similis Hartig, 1836)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012622-250310093411724/datasets/export for details.
DOI: 10.15468/dl.bf8a5g
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Embidopsocus femoralis (Badonnel, 1931)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012623-250310093411724/datasets/export for details.
DOI: 10.15468/dl.fybafn
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Toumeyella parvicornis (Cockerell, 1897))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012625-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpek3y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrovipera schweizeri (Werner, 1935)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012624-250310093411724/datasets/export for details.
DOI: 10.15468/dl.8rvw9a
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pristiphora erichsonii (Hartig, 1837))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 64 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012628-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rw2yej
title: Occurrence Download

description: A dataset containing 2908657 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than 50000",
 "Year is 2022",
 "DecimalLongitude is greater than or equal to 7.0",
 "DecimalLongitude is less than or equal to 15.5",
 "DecimalLatitude is greater than or equal to 54.5",
 "DecimalLatitude is less than or equal to 58.0"
 ]
}

 The dataset includes 2908657 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012595-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mc4qg
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dendroctonus simplex LeConte, 1868)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012627-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/pvb5-g805
title: Numerical and experimental generated data during project https://doi.org/10.1038/s41598-024-77367-w

description: The dataset was generated using a two-stage methodology for global design optimization of antenna systems. Its keystone components included dimensionality reduction realized by means of fast global sensitivity analysis (FGSA), a machine learning (ML) procedure involving kriging surrogate models, and fine-tuning of antenna parameters using accelerated trust-region (TR) search.
Extensive verification experiments involved four antennas of diverse responses (multi-band, broadband, enhanced gain). The results demonstrated consistent operation, reliability, repeatability of solutions, and excellent cost efficiency of the presented framework. The average running cost of the algorithm corresponded to only about 140 EM antenna simulations, which is comparable to the expenses incurred by local optimization.
DOI: 10.15468/dl.mx44je
title: Occurrence Download

description: A dataset containing 554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Allium anisopodium Ledeb."
 ]
}

 The dataset includes 554 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012626-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/eq27-wt50
title: Numerical and experimental generated data during project https://doi.org/10.1038/s41598-023-45890-x

description: The dataset was generated using a procedure for low-cost modeling of microwave components utilizing random observables. The major contributions of the work include the implementation of the explicit dimensionality reduction of the confined surrogate model domain and the introduction of this concept into a complete cost-efficient framework for the modeling of microwave components. Comprehensive benchmarking demonstrates excellent performance of the introduced framework, both in terms of the predictive power of the rendered surrogates, their scalability properties, as well as low computational overhead associated with the model setup.