cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yzewv2
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hieracium lucidum Guss.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 20 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0300125-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8enpz
title: Occurrence Download

description: A dataset containing 4613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linaria spartea (L.) Willd.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4613 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0300404-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x5wksk
title: Occurrence Download

description: A dataset containing 61826 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dryas octopetala L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 61826 records from 283 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259470-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yru3vr
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Allium inaequale Janka",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 150 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0286962-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysku44
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex alatauensis S.R.Zhang",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 124 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0180723-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ta2wsk
title: Occurrence Download

description: A dataset containing 110719 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geranium pyrenaicum Burm.f.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 110719 records from 453 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261827-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wf6tza
title: Occurrence Download

description: A dataset containing 4714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salix polaris Wahlenb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4714 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0260527-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmcnps
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus hercynicus G.Braun ex Focke",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290727-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zcn89t
title: Occurrence Download

description: A dataset containing 9026 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex trinervis Degl.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9026 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0292917-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzun2w
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dianthus serotinus Waldst. & Kit.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 41 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295695-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdhc3p
title: Occurrence Download

description: A dataset containing 4232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium pallescens Schreb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4232 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257930-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysfc6n
title: Occurrence Download

description: A dataset containing 1985 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salix laggeri Wimm.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1985 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0289777-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xs68g4
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Saxifraga porophylla Bertol.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 65 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0289219-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xu5h7r
title: Occurrence Download

description: A dataset containing 5899 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Humulus scandens (Lour.) Merr.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5899 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0416216-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18212004
title: INGLIZ VA O'ZBEK TILIDAGI FRAZEOLOGIK BIRLIKLARNI TALABALARGA O'QITISH METODLARI

description: Mazkur ilmiy maqolada ingliz va o‘zbek tillaridagi frazeologik birliklarni talabalarga o‘qitish metodlari lingvodidaktik va qiyosiy yondashuv asosida tahlil qilinadi. Frazeologik birliklarning semantik, strukturaviy va madaniy xususiyatlari o‘quv jarayonida inobatga olinishi zarurligi ilmiy manbalar asosida asoslab beriladi. Tadqiqotda frazeologizmlarni o‘rgatishda kontekstual, qiyosiy, kommunikativ va madaniyatlararo yondashuvlarning samaradorligi ko‘rsatib beriladi. Shuningdek, oliy ta’lim muassasalarida xorijiy til sifatida ingliz tilini o‘qitishda frazeologik birliklarning o‘rni va ularni o‘zbek tili bilan qiyoslab o‘rgatishning pedagogik ahamiyati ochib beriladi.
DOI: 10.5281/zenodo.18212005
title: INGLIZ VA O'ZBEK TILIDAGI FRAZEOLOGIK BIRLIKLARNI TALABALARGA O'QITISH METODLARI

description: Mazkur ilmiy maqolada ingliz va o‘zbek tillaridagi frazeologik birliklarni talabalarga o‘qitish metodlari lingvodidaktik va qiyosiy yondashuv asosida tahlil qilinadi. Frazeologik birliklarning semantik, strukturaviy va madaniy xususiyatlari o‘quv jarayonida inobatga olinishi zarurligi ilmiy manbalar asosida asoslab beriladi. Tadqiqotda frazeologizmlarni o‘rgatishda kontekstual, qiyosiy, kommunikativ va madaniyatlararo yondashuvlarning samaradorligi ko‘rsatib beriladi. Shuningdek, oliy ta’lim muassasalarida xorijiy til sifatida ingliz tilini o‘qitishda frazeologik birliklarning o‘rni va ularni o‘zbek tili bilan qiyoslab o‘rgatishning pedagogik ahamiyati ochib beriladi.
DOI: 10.17632/jsjh28yhfc
title: Processed RNA-seq gene expression and enrichment analysis data from [Role of NK Cells in Immune Regulation and Sepsis-Induced Inflammation]

description: Research Hypothesis and Data Description:

The dataset was generated to investigate the role of NK (natural killer) cells in immune regulation during sepsis-induced inflammation. We hypothesized that NK cells modulate the expression of key immune-related genes and pathways, affecting inflammation and tissue response during sepsis.

Data Summary:

The dataset consists of processed RNA-seq gene expression data from NK cells isolated from control and sepsis models.

It includes normalized gene expression matrices, lists of differentially expressed genes (DEGs), and functional enrichment analysis results (GO and KEGG pathways).

Visualizations such as heatmaps, barplots, and volcano plots are also included to summarize gene expression patterns and enriched pathways.

Notable Findings:

NK cells in sepsis models show significant changes in genes involved in cytokine signaling, immune response, and inflammatory pathways.

Enrichment analysis highlights key pathways potentially regulated by NK cells, such as TNF signaling, NF-κB pathway, and interferon-mediated responses.
The data suggests that NK cells may have both pro- and anti-inflammatory roles in sepsis progression, providing insights into immune modulation mechanisms.

Data Interpretation and Use:

Researchers can use this dataset to explore NK cell-specific transcriptional changes, identify novel targets for immunomodulation, or perform comparative analysis with other immune cell types.
The processed gene expression and enrichment results allow reanalysis, integration with other datasets, and functional interpretation without needing access to raw sequencing files.
This dataset is particularly useful for studying immune regulation, inflammation, and cell-specific responses in sepsis models.
DOI: 10.17632/jsjh28yhfc.1
title: Processed RNA-seq gene expression and enrichment analysis data from [Role of NK Cells in Immune Regulation and Sepsis-Induced Inflammation]

description: Research Hypothesis and Data Description:

The dataset was generated to investigate the role of NK (natural killer) cells in immune regulation during sepsis-induced inflammation. We hypothesized that NK cells modulate the expression of key immune-related genes and pathways, affecting inflammation and tissue response during sepsis.

Data Summary:

The dataset consists of processed RNA-seq gene expression data from NK cells isolated from control and sepsis models.

It includes normalized gene expression matrices, lists of differentially expressed genes (DEGs), and functional enrichment analysis results (GO and KEGG pathways).

Visualizations such as heatmaps, barplots, and volcano plots are also included to summarize gene expression patterns and enriched pathways.

Notable Findings:

NK cells in sepsis models show significant changes in genes involved in cytokine signaling, immune response, and inflammatory pathways.

Enrichment analysis highlights key pathways potentially regulated by NK cells, such as TNF signaling, NF-κB pathway, and interferon-mediated responses.
The data suggests that NK cells may have both pro- and anti-inflammatory roles in sepsis progression, providing insights into immune modulation mechanisms.

Data Interpretation and Use:

Researchers can use this dataset to explore NK cell-specific transcriptional changes, identify novel targets for immunomodulation, or perform comparative analysis with other immune cell types.
The processed gene expression and enrichment results allow reanalysis, integration with other datasets, and functional interpretation without needing access to raw sequencing files.
This dataset is particularly useful for studying immune regulation, inflammation, and cell-specific responses in sepsis models.
DOI: 10.17632/x4d3cy3mj8
title: Data: Energy consumption, wear and corrosion of PEO coatings on preanodized Al alloy: the influence of current and frequency. Journal of Materials Research and Technology, 21, pp. 2061-2075 (2022).

description: Data from the paper: Energy consumption, wear and corrosion of PEO coatings on preanodized Al alloy: the influence of current and frequency. Journal of Materials Research and Technology, 21, pp. 2061-2075 (2022).
DOI: 10.17632/x4d3cy3mj8.1
title: Data: Energy consumption, wear and corrosion of PEO coatings on preanodized Al alloy: the influence of current and frequency. Journal of Materials Research and Technology, 21, pp. 2061-2075 (2022).

description: Data from the paper: Energy consumption, wear and corrosion of PEO coatings on preanodized Al alloy: the influence of current and frequency. Journal of Materials Research and Technology, 21, pp. 2061-2075 (2022).
DOI: 10.17632/xjg2p8wbn4.2
title: Unveiling Trends in Supply Chain Simulation: Implementing an Index of Complexity

description: Full data of the Structured Literature Review entitled "Unveiling Trends in Supply Chain Simulation: Implementing an Index of Complexity" and details of the factors assigned to each contribution and of the final Index of Complexity calculated for the simulation model
DOI: 10.5281/zenodo.17486611
title: Dataset for "Direct Observation of Ultrafast Lattice Distortions during Exciton–Polaron Formation in Lead Halide Perovskite Nanocrystals"
DOI: 10.5281/zenodo.17486610
title: Dataset for "Direct Observation of Ultrafast Lattice Distortions during Exciton–Polaron Formation in Lead Halide Perovskite Nanocrystals"
DOI: 10.17632/8dvjpgwtcd.3
title: Zeid Zwain Clinic Prediabetes Registry

description: This is registry of my clinic data set for prediabetes in Najaf/Iraq
DOI: 10.15156/bio/sh0168936.10fu
title: SH0168936.10FU

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/sh0168937.10fu
title: SH0168937.10FU

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/sh0168938.10fu
title: SH0168938.10FU

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/sh0168939.10fu
title: SH0168939.10FU

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/sh0168940.10fu
title: SH0168940.10FU

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/sh0168941.10fu
title: SH0168941.10FU

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/sh0168942.10fu
title: SH0168942.10FU

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/sh0168943.10fu
title: SH0168943.10FU

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.