cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17096428
title: LINC02365 in Hepatocellular Carcinoma

description: Description:This dataset supports the findings of the manuscript titled “Transcriptomic Profiling Identifies the Regulatory Network of LINC02365 in Hepatocellular Carcinoma” and manuscript titled "clinical significance of linc02365 in hepatocellular carcinima". It contains raw and processed data from RT-qPCR, next-generation RNA sequencing, and integrative bioinformatics analyses aimed at elucidating the functional role of the long non-coding RNA LINC02365 in hepatocellular carcinoma (HCC).

The Excel file “results-65.xlsx” includes 28 sheets organized into the following categories:

Experimental Data



RT-qPCR: Expression levels of LINC02365 across multiple HCC cell lines.

Plasmid and primer sequences: Overexpression and knockdown constructs, along with primer sequences for LINC02365 and GAPDH.


Transcriptomic Analysis



Gene expression: Raw read counts and TPM values across LINC02365 knockdown and control replicates.

Differential expression (DESeq2): Full gene list and filtered subsets (log2FC > 1, FDR < 0.05).

Fusion gene detection: STAR-Fusion results across all replicates.

Alternative splicing: CASH-based analysis of splicing events and functional enrichment (GO and KEGG).


Regulatory and Pathway Insights



Immune infiltration: Estimated immune cell proportions post-knockdown.

microRNA and transcription factor enrichment: GO, KEGG, and GSEA analyses.

STRING PPI network: High-confidence protein-protein interaction network of differentially expressed genes.

Functional enrichment: GO, KEGG, and Reactome pathway analyses of all genes.


Significance:This dataset offers a comprehensive resource for understanding how LINC02365 affects tumor progression in HCC. It aims to support the findings in the manuscript and facilitate further research into LINC02365 as a potential biomarker and therapeutic target.

The file 65_analysis2.xlsx contains qRT‑PCR data for LINC02365 and GAPDH from 215 samples, including HCC, pre‑cancer, and normal tissues. Each gene was measured, with average Ct values calculated. LINC02365 expression is provided as ΔCt (LINC02365 Ct – GAPDH Ct). The dataset supports expression comparison and diagnostic analysis of LINC02365 in liver disease.
DOI: 10.13145/bacdive101480.20251217.10
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive101481.20230509.8.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0093529.10fu
title: SH0093529.10FU

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/bacdive101481.20251217.10
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/sh0093530.10fu
title: SH0093530.10FU

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/bacdive101482.20230509.8.1
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/bacdive101482.20251217.10
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/sh0093531.10fu
title: SH0093531.10FU

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/bacdive101483.20230509.8.1
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/bacdive101483.20251217.10
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/sh0093532.10fu
title: SH0093532.10FU

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/bacdive101484.20230509.8.1
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/bacdive101484.20251217.10
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/sh0093533.10fu
title: SH0093533.10FU

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/bacdive101485.20230509.8.1
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/bacdive101485.20251217.10
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive101486.20230509.8.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0093534.10fu
title: SH0093534.10FU

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.75dmzs
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bodotria jejuensis"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004257-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57724/gdc_20250117_dichoso_uav
title: DICHOSO project: Unmanned aerial vehicles (UAVs) Flights on Deception Island, 2025
DOI: 10.6084/m9.figshare.28640156
title: Dataset of "Validating a remote saliva collection tool for genomic analyses in free ranging dogs"

description: <i>Data_extraction_FRD_Morocco</i>: Information about DNA concentration and DNA quantity extracted from the saliva of free-ranging Moroccan dogs, using two methods for saliva collection. Name, sample ID, collection method, genotyping result are provided.<i>R-script_DNA_extraction_FRD_Morocco</i>: R-script for all the analyses and the data visualization mentioned in the article.
DOI: 10.6084/m9.figshare.28640156.v1
title: Dataset of "Validating a remote saliva collection tool for genomic analyses in free ranging dogs"

description: <i>Data_extraction_FRD_Morocco</i>: Information about DNA concentration and DNA quantity extracted from the saliva of free-ranging Moroccan dogs, using two methods for saliva collection. Name, sample ID, collection method, genotyping result are provided.<i>R-script_DNA_extraction_FRD_Morocco</i>: R-script for all the analyses and the data visualization mentioned in the article.
DOI: 10.5281/zenodo.15037621
title: Miagao Coast Bathymetry

description: This dataset includes depth data of the Miagao coast, Iloilo, Philippines, recorded in February 2020.
DOI: 10.5281/zenodo.15037622
title: Miagao Coast Bathymetry

description: This dataset includes depth data of the Miagao coast, Iloilo, Philippines, recorded in February 2020.
DOI: 10.15468/dl.8f6j3r
title: Occurrence Download

description: A dataset containing 11956 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Martes martes (Linnaeus, 1758)",
 "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 11956 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012051-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xbgg9y
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mongolia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Castilleja L.f."
 ]
}

 The dataset includes 26 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012050-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bebj3v
title: Occurrence Download

description: A dataset containing 346 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pulvinaria regalis Canard, 1968)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 346 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012052-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqy8s7
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dialeurodes citri (Ashmead, 1885)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 146 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012053-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xvfktv
title: Occurrence Download

description: A dataset containing 3729 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mustela putorius Linnaeus, 1758",
 "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 3729 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012054-250310093411724/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.28606742
title: <b>The dilemma of frontline servant leadership: the conflict between top management directives and grassroots employee wellbeing and retention</b>

description: Servant leadership in the workplace involves providing services and cultivating trust amongst subordinates. However, leadership dynamics can be distorted when hospitality frontline managers assume leadership roles by strictly adhering to top management strategic directives. The current study delved into the interplay amongst servant leadership, employee wellbeing and retention, highlighting the pivotal role of service climate, procedural justice and customer satisfaction as moderating variables.
DOI: 10.15468/dl.t6ccha
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Philoganga vetusta Ris, 1912"
 ]
}

 The dataset includes 71 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012055-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rcxr8h
title: Occurrence Download

description: A dataset containing 4146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aproceros Malaise, 1931)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4146 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012056-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6f4f2s
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lynx lynx (Linnaeus, 1758)",
 "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 162 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012058-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/pewzzr
title: Museu de Ciències Naturals de Barcelona: MCNB-Art

description: The Arthropod Collection is the most numerous and diverse of all the Museum’s collections and houses over half the total number of its specimens. The exact number of specimens is difficult to estimate but lies somewhere in the range 1,750,000–1,900,000. Most of the orders of all the different subphylums (Chelicerata, Crustacea, Uniramia) that constitute the Arthropoda are represented, although the Hexapoda are the best represented group given the high number of insect specimens.

The collections of Artur Martorell and Daniel Müller were the first to be incorporated into the Museu Martorell in 1901 and 1903, respectively, and as such are highly important in terms of the Museum’s history and heritage. However, their scientific value is somewhat diminished by the lack of data associated with the specimens. In 1916, Ascensi Codina deposited in the Museum the first rigorously scientific collection, which included an important number of tiger beetles (Cicindellidae: Coleoptera) from all over the world. Many other important collections followed.
 
Many important collections have followed on from these first donations, such as R. Zariquiey, L. Navàs or I. de Sagarra but an special mention should be made of the collection based on the work of the scientist Dr. Francesc Español, curator and director of the MZB (from the 1930s to the 1990s). His legacy is of great scientific interest and includes a large number of new taxa, most still currently valid, and new geographical distribution records. His training of a generation of young entomologists has borne its fruit as his disciples are continuing with his entomological research. This has led to the creation of a very dynamic collection that year after year receives a large number of queries, as well as much new material deposited by Museum collaborators who thus ensure that the Museum’s arthropod collection continues to grow.
DOI: 10.15468/dl.n6w8zq
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mongolia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Catabrosa P.Beauv."
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012059-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n3f2bk
title: Occurrence Download

description: A dataset containing 16175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rupicapra rupicapra (Linnaeus, 1758)",
 "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 16175 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012060-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttk743
title: Occurrence Download

description: A dataset containing 14637516 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "Geometry POLYGON((0.85277 45.74421,37.14723 45.74421,37.14723 60.25579,0.85277 60.25579,0.85277 45.74421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 14637516 records from 857 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012036-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26th53
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insignorthezia insignis (Browne, 1887))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 112 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012061-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/kduslx
title: Data used in the article "Proof-of-work versus proof-of-stake coins as possible hedges against green and dirty energy" (Kliber A, Będowska-Sójka B)

description: The file contains data used in the article Proof-of-work versus proof-of-stake coins as possible hedges against green and dirty energy" (Kliber A, Będowska-Sójka B), Energy Economics; https://doi.org/10.1016/j.frl.2024.105852