cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22008/fk2/iw73uu/wxy7vs
title: KPC_Uv3_month.nc

description: Uploaded with pyDataverse 2024-04-11 14:55
DOI: 10.22008/fk2/iw73uu/2zv5oa
title: MIT_day.csv

description: Uploaded with pyDataverse 2024-04-11 14:55
DOI: 10.22008/fk2/iw73uu/m5qnip
title: MIT_hour.csv

description: Uploaded with pyDataverse 2024-04-11 14:55
DOI: 10.5281/zenodo.17330143
title: Data on New Quality Productive Forces and Economic Resilience

description: This database was meticulously developed by our research, based on statistical yearbooks from 30 provinces in mainland China. It encompasses a wide range of key statistical domains, including science and technology, energy, and financial data. The data is sourced from authoritative publications, offering rich, region-specific, and industry-relevant insights. The time span of the database covers the period from 2014 to 2022, and the indicators it contains are timely and highly accurate.

The core strength of this database lies in its ability to provide a comprehensive and clear depiction of New Quality Productive Forces and economic resilience, particularly in relation to China’s technological, digital, and green productivity. By integrating data across various sectors, the database not only facilitates in-depth academic research on the industrial structure upgrading of China, but also provides critical data support for policymaking and corporate strategy. Furthermore, it offers reliable quantitative indicators for assessing both domestic and international economic development in China, highlighting the nation’s sustained innovation and adaptability amidst a shifting global economic landscape.

The development and application of this database also offers a systematic data platform for researchers, policymakers, and industry analysts. It contributes to advancing research in related fields, supports the formulation of evidence-based economic policies, and provides valuable insights for the productivity transformation, economic development and industrial structure upgrading of China.
DOI: 10.5281/zenodo.17330144
title: Data on New Quality Productive Forces and Economic Resilience

description: This database was meticulously developed by our research, based on statistical yearbooks from 30 provinces in mainland China. It encompasses a wide range of key statistical domains, including science and technology, energy, and financial data. The data is sourced from authoritative publications, offering rich, region-specific, and industry-relevant insights. The time span of the database covers the period from 2014 to 2022, and the indicators it contains are timely and highly accurate.

The core strength of this database lies in its ability to provide a comprehensive and clear depiction of New Quality Productive Forces and economic resilience, particularly in relation to China’s technological, digital, and green productivity. By integrating data across various sectors, the database not only facilitates in-depth academic research on the industrial structure upgrading of China, but also provides critical data support for policymaking and corporate strategy. Furthermore, it offers reliable quantitative indicators for assessing both domestic and international economic development in China, highlighting the nation’s sustained innovation and adaptability amidst a shifting global economic landscape.

The development and application of this database also offers a systematic data platform for researchers, policymakers, and industry analysts. It contributes to advancing research in related fields, supports the formulation of evidence-based economic policies, and provides valuable insights for the productivity transformation, economic development and industrial structure upgrading of China.
DOI: 10.60797/irj.2026.164.84.1
title: Результаты опроса детей

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.60797/irj.2026.164.84.2
title: Результаты опроса педагогов

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.60797/irj.2026.164.86.3
title: Видовой состав микрофлоры панкреатического секрета

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.60797/irj.2026.164.87.1
title: Семестровый рейтинг студентов 4 курса лечебного факультета по дисциплине «Эпидемиология»

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.34740/kaggle/dsv/14858164
title: Parquet-TriggerEmu
DOI: 10.60797/irj.2026.164.87.2
title: Итоговый рейтинг студентов 4 курса лечебного факультета по дисциплине «Эпидемиология»

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.60797/irj.2026.164.90.2
title: Основные сельскохозяйственные культуры, произрастающие на ЗТ Краснодарского края в 2018 и 2023 годах, и доля площади их посевов в общей площади

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.60797/irj.2026.164.91.1
title: Традиционные методы, используемые для анализа чернил

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.15468/dl.jegpgv
title: Occurrence Download

description: A dataset containing 728 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chenopodium bonus-henricus",
 "Continent is Europe",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 100",
 "Year is greater than or equal to 1970",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Material citation"
 ]
 }
 }
 ]
}

 The dataset includes 728 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024436-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60797/irj.2026.164.91.3
title: Схематичное представление алгоритма «случайный лес»

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.60797/irj.2026.164.89.7
title: Резонансные частоты узлов нагрузки при наличии батареи конденсаторов

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.60797/irj.2026.164.92.3
title: Распределение земель межселенной территории Амурского района

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.60797/irj.2026.164.89.8
title: Резонансные максимумы АЧХ узлов нагрузки при наличии батареи конденсаторов

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.60797/irj.2026.164.96.1
title: Количество учителей в школах города Керчи в 1939–1940 учебном году

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.17630/9691c5a8-b456-4c1a-98a1-af66791311d5
title: Assembly-diassembly-organisation-reassembly synthesis of zeolites based on cfi-type layers (dataset)
DOI: 10.60797/irj.2026.164.96.2
title: Успеваемость за II четверть по школам горОНО города Керчи за 1939–1940 учебный год

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.60797/irj.2026.164.97.1
title: Предпосылки автоматизации подбора проектных команд в IT-секторе

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.60797/irj.2026.164.92.7
title: Основные технико-экономические показатели

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.60797/irj.2026.164.95.4
title: Результаты проведения эксперимента

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.60797/irj.2026.164.97.2
title: Литературный обзор по теме применения генетических алгоритмов в задачах управдения проектами

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.60797/irj.2026.164.92.8
title: Параметры зон размещения объектов капитального строительства

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.60797/irj.2026.164.97.3
title: Сравнительный анализ вычислительной эффективности методов комплектования проектных команд в сфере информационных технологий

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.15156/bio/sh1399914.10fu
title: SH1399914.10FU

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/sh1399916.10fu
title: SH1399916.10FU

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/sh1399917.10fu
title: SH1399917.10FU

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/sh1399923.10fu
title: SH1399923.10FU

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/sh1399925.10fu
title: SH1399925.10FU

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/sh1399930.10fu
title: SH1399930.10FU

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/sh1399932.10fu
title: SH1399932.10FU

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/sh1399934.10fu
title: SH1399934.10FU

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/sh1399937.10fu
title: SH1399937.10FU

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.ct4b9c
title: Occurrence Download

description: A dataset containing 790 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pacifastacus leniusculus",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 790 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007197-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6uh64y
title: Occurrence Download

description: A dataset containing 12118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry MULTIPOLYGON (((-106.6829 23.89087, -106.7029 23.88878, -106.7047 23.87881, -106.6829 23.89087)), ((-106.7047 23.87881, -106.7283 23.86225, -106.7444 23.87102, -106.7651 23.86392, -106.7638 23.83169, -106.7845 23.81542, -106.7833 23.79306, -106.8021 23.79438, -106.8112 23.8103, -106.8379 23.81637, -106.8484 23.7955, -106.8587 23.79035, -106.8591 23.78339, -106.8576 23.77505, -106.8435 23.74406, -106.8409 23.73486, -106.834 23.729, -106.796 23.67577, -106.8105 23.6596, -106.8021 23.64826, -106.7537 23.60923, -106.7284 23.59472, -106.6845 23.55529, -106.6757 23.53861, -106.6437 23.51255, -106.575 23.5488, -106.5851 23.62618, -106.6266 23.70469, -106.6424 23.76238, -106.6963 23.78307, -106.6975 23.82388, -106.6851 23.84406, -106.718 23.85818, -106.7047 23.87881)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 12118 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007193-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2ge26
title: Occurrence Download

description: A dataset containing 6238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Desmognathus conanti)"
 ]
}

 The dataset includes 6238 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007194-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.srt49z
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pacifastacus leniusculus",
 "Country is Hungary",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007198-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3235k
title: Occurrence Download

description: A dataset containing 403260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Senecio inaequidens, Senecio vimineus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 403260 records from 1104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007169-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8s98g
title: Occurrence Download

description: A dataset containing 28857 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Heracleum sosnowskyi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 28857 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007195-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p8w4jj
title: Occurrence Download

description: A dataset containing 307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Plethodon larselli)"
 ]
}

 The dataset includes 307 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007199-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqh58t
title: Occurrence Download

description: A dataset containing 499570 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vicia sepium"
 ]
}

 The dataset includes 499570 records from 2238 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007078-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13970767
title: Genome Annotation Xff Temecula1 (NCBI accession GCF_000007245.1) with Bakta

description: The genome of Xff strain Temecula1 (NCBI accession GCF_000007245.1) was re-annotated using the Bakta pipeline (Schwengers et al., 2021).
DOI: 10.5281/zenodo.13970768
title: Genome Annotation Xff Temecula1 (NCBI accession GCF_000007245.1) with Bakta

description: The genome of Xff strain Temecula1 (NCBI accession GCF_000007245.1) was re-annotated using the Bakta pipeline (Schwengers et al., 2021).