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

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Spain",
 "DatasetKey is one of (FloraCAT: Banco de datos de los cormófitos de Cataluña, CeDoc de Biodiversitat Vegetal: BCN-Cormophyta, DIBA-Parc Natural del Montseny, Institut Botanic de Barcelona (IBB, CSIC-Ajuntament de Barcelona), BC-Plantae, CSIC-Real Jardín Botánico-Anthos. Sistema de Información de las Plantas de España, Occurrences from the Alien CSI Bioblitz: citizen science to engage society in invasive species monitoring, CSIC-Real Jardín Botánico-Colección de Plantas Vasculares (MA), Colección de plantas vasculares del Herbario \"Jaime Andrés Rodríguez\". LEB, Colección de plantas vasculares del herbario de la Universitat de València (VAL), Herbario de la Universidad de Granada: Colección GDA-Fanerogamia)",
 "Geometry POLYGON((3.24098 42.44179,0.45838 42.97977,0.20131 42.0074,0.21082 41.3701,0.58132 40.46501,2.28276 41.29445,3.63603 42.08036,3.24098 42.44179))",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio pterophorus DC."
 ]
}

 The dataset includes 229 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001681-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b3aev2
title: Occurrence Download

description: A dataset containing 157012 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The AAU Herbarium Database"
 ]
}

 The dataset includes 157012 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001716-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tthewv
title: Occurrence Download

description: A dataset containing 494 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nardostachys jatamansi (D.Don) DC."
 ]
}

 The dataset includes 494 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004763-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eu83wq
title: Occurrence Download

description: A dataset containing 1111544 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Benin"
 ]
}

 The dataset includes 1111544 records from 517 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001690-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ykxn93
title: Occurrence Download

description: A dataset containing 26390 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hedera hibernica Poit.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26390 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001693-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2wvzf
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hedlundia borbasii (Jáv.) Sennikov & Kurtto",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001702-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hcy9x4
title: Occurrence Download

description: A dataset containing 347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Puccinellia gigantea (Grossh.) Grossh.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 347 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001710-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hg42vj
title: Occurrence Download

description: A dataset containing 3777 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "TaxonKey is Cortaderia selloana (Schult. & Schult.f.) Asch. & Graebn."
 ]
}

 The dataset includes 3777 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001711-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v6mz5h
title: Occurrence Download

description: A dataset containing 746 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Denmark",
 "LifeStage is one of (Egg, Larva, Pupa, Imago, Adult)",
 "OccurrenceStatus is Present",
 "TaxonKey is Anthocharis cardamines",
 "Year 2023-2025"
 ]
}

 The dataset includes 746 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004471-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.euq4zr
title: Occurrence Download

description: A dataset containing 5043 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Malaysia, Lao People’s Democratic Republic, Myanmar, Thailand, Viet Nam, Cambodia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is CR",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 5043 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004470-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pbeq8d
title: Occurrence Download

description: A dataset containing 804 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Peltogyne venosa"
 ]
}

 The dataset includes 804 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004472-251025141854904/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.30465314
title: Supplementary Material for: Unravelling the Tumourigenesis Mechanisms of Oncocytic Cell Tumours: Discoveries from a Comparative Omics Study

description: Oncocytic cell tumours (OCTs), previously referred to as Hürthle cell tumors of the thyroid, are a subset of thyroid and endocrine neoplasms that pose diagnostic and therapeutic challenges owing to their unpredictable clinical behaviour. Given the limited data on the transcriptomic and proteomic landscapes of OCTs compared to mitochondrion-rich neoplasms (MRNs: thyroid tumors with ≥75% oncocytic cells that share similar morphology but harbor nuclear driver mutations consistent with their respective histotypes, rather than mitochondrial alterations), we performed RNA and protein sequencing on 12 OCT samples (comprising 5 oncocytic adenomas and 7 oncocytic carcinomas) and 6 MRNs (oncocytic papillary thyroid carcinoma (PTC) and oncocytic noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP)). This study was prompted by the understanding that oncocytic morphology alone does not necessarily predict tumour behaviour. 

RNA sequencing analysis identified 47 downregulated and 38 upregulated differentially expressed genes (DEGs) in OCTs relative to MRNs, with significant enrichment in pathways related to heme metabolism. Protein sequencing further revealed 20 under-expressed and 64 over-expressed differentially expressed proteins (DEPs) in OCTs. Notably, all oncocytic carcinomas (OCAs) formed a distinct cluster separate from the MRNs, indicating a unique proteomic profile.

Most of the DEPs were involved in three key cellular pathways: epigenetic regulation, the tumor microenvironment, and protein biogenesis, suggesting that these processes may underlie the distinctive morphology and behaviour of OCTs. These findings highlight the need for continued research into these molecular mechanisms to improve the diagnostic accuracy and develop targeted therapies for patients with OCTs
DOI: 10.6084/m9.figshare.30465314.v1
title: Supplementary Material for: Unravelling the Tumourigenesis Mechanisms of Oncocytic Cell Tumours: Discoveries from a Comparative Omics Study

description: Oncocytic cell tumours (OCTs), previously referred to as Hürthle cell tumors of the thyroid, are a subset of thyroid and endocrine neoplasms that pose diagnostic and therapeutic challenges owing to their unpredictable clinical behaviour. Given the limited data on the transcriptomic and proteomic landscapes of OCTs compared to mitochondrion-rich neoplasms (MRNs: thyroid tumors with ≥75% oncocytic cells that share similar morphology but harbor nuclear driver mutations consistent with their respective histotypes, rather than mitochondrial alterations), we performed RNA and protein sequencing on 12 OCT samples (comprising 5 oncocytic adenomas and 7 oncocytic carcinomas) and 6 MRNs (oncocytic papillary thyroid carcinoma (PTC) and oncocytic noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP)). This study was prompted by the understanding that oncocytic morphology alone does not necessarily predict tumour behaviour. 

RNA sequencing analysis identified 47 downregulated and 38 upregulated differentially expressed genes (DEGs) in OCTs relative to MRNs, with significant enrichment in pathways related to heme metabolism. Protein sequencing further revealed 20 under-expressed and 64 over-expressed differentially expressed proteins (DEPs) in OCTs. Notably, all oncocytic carcinomas (OCAs) formed a distinct cluster separate from the MRNs, indicating a unique proteomic profile.

Most of the DEPs were involved in three key cellular pathways: epigenetic regulation, the tumor microenvironment, and protein biogenesis, suggesting that these processes may underlie the distinctive morphology and behaviour of OCTs. These findings highlight the need for continued research into these molecular mechanisms to improve the diagnostic accuracy and develop targeted therapies for patients with OCTs
DOI: 10.6084/m9.figshare.30465317
title: Supplementary Material for: Cardiac Arrhythmias Associated with Brain Tumors: A Systematic Review

description: Introduction: 
Brain tumors may disrupt cardiac autonomic regulation, leading to arrhythmias that complicate patient management. This review aims to synthesize evidence on the relationship between brain tumor characteristics, treatments, and cardiac arrhythmias.
Methods: 
A systematic literature search was performed with independent screening and data extraction by two reviewers. Due to heterogeneity in study designs, tumor types, and arrhythmia outcomes, quantitative meta-analysis was not feasible; results were synthesized qualitatively.
Results: 
Supratentorial tumors, especially in limbic and insular regions, were frequently associated with atrial arrhythmias and ECG abnormalities. High-grade tumors showed diverse arrhythmias, including bradycardia and ventricular events, often linked to tumor progression or seizures. Surgical resection improved arrhythmias but posed perioperative risks, notably with right insular involvement. Chemotherapy effects were variable; radiation-induced arrhythmias were infrequent and dose-dependent. Arrhythmia patterns varied across pre-, peri-, and post-treatment phases, reflecting complex neurocardiac interactions.
Conclusion: 
Cardiac arrhythmias in brain tumor patients arise from multifactorial mechanisms influenced by tumor biology and treatment effects. Prospective, standardized studies are required to clarify underlying mechanisms and optimize arrhythmia management in neuro-oncology.
DOI: 10.6084/m9.figshare.30465317.v1
title: Supplementary Material for: Cardiac Arrhythmias Associated with Brain Tumors: A Systematic Review

description: Introduction: 
Brain tumors may disrupt cardiac autonomic regulation, leading to arrhythmias that complicate patient management. This review aims to synthesize evidence on the relationship between brain tumor characteristics, treatments, and cardiac arrhythmias.
Methods: 
A systematic literature search was performed with independent screening and data extraction by two reviewers. Due to heterogeneity in study designs, tumor types, and arrhythmia outcomes, quantitative meta-analysis was not feasible; results were synthesized qualitatively.
Results: 
Supratentorial tumors, especially in limbic and insular regions, were frequently associated with atrial arrhythmias and ECG abnormalities. High-grade tumors showed diverse arrhythmias, including bradycardia and ventricular events, often linked to tumor progression or seizures. Surgical resection improved arrhythmias but posed perioperative risks, notably with right insular involvement. Chemotherapy effects were variable; radiation-induced arrhythmias were infrequent and dose-dependent. Arrhythmia patterns varied across pre-, peri-, and post-treatment phases, reflecting complex neurocardiac interactions.
Conclusion: 
Cardiac arrhythmias in brain tumor patients arise from multifactorial mechanisms influenced by tumor biology and treatment effects. Prospective, standardized studies are required to clarify underlying mechanisms and optimize arrhythmia management in neuro-oncology.
DOI: 10.5281/zenodo.17311671
title: Global Colorless Polyimide Films Market 2025 To 2034

description: Colorless Polyimide Films Market Size, Trends and Insights By Application (Flexible Displays, Flexible Printed, Circuit Boards (FPCBs), Flexible Solar Cells, Lighting Equipment, Others), By End-Use Industry (Electronics, Solar / Energy, Medical, Aerospace & Others), By Product Grade (Optically Clear Grade, Standard Grade, Speciality Grades), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

As per the Colorless Polyimide Films Market conducted by the CMI Team, the global Colourless Polyimide Films Market is expected to record a CAGR of 3.36% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 8.90 Billion. By 2034, the valuation is anticipated to reach USD 11.98 Billion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=74602
DOI: 10.5281/zenodo.17311672
title: Global Colorless Polyimide Films Market 2025 To 2034

description: Colorless Polyimide Films Market Size, Trends and Insights By Application (Flexible Displays, Flexible Printed, Circuit Boards (FPCBs), Flexible Solar Cells, Lighting Equipment, Others), By End-Use Industry (Electronics, Solar / Energy, Medical, Aerospace & Others), By Product Grade (Optically Clear Grade, Standard Grade, Speciality Grades), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

As per the Colorless Polyimide Films Market conducted by the CMI Team, the global Colourless Polyimide Films Market is expected to record a CAGR of 3.36% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 8.90 Billion. By 2034, the valuation is anticipated to reach USD 11.98 Billion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=74602
DOI: 10.15156/bio/sh1118414.10fu
title: SH1118414.10FU

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/sh1118415.10fu
title: SH1118415.10FU

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/sh1118417.10fu
title: SH1118417.10FU

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/sh1118419.10fu
title: SH1118419.10FU

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/sh1118420.10fu
title: SH1118420.10FU

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/sh1118423.10fu
title: SH1118423.10FU

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/sh1118424.10fu
title: SH1118424.10FU

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.