cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12851474.v1
title: ELFN1-AS1 accelerates cell proliferation, invasion and migration via regulating miR-497-3p/CLDN4 axis in ovarian cancer

description: Previous studies indicated that long non-coding RNAs (LncRNAs) were involved in the progression of multiple cancers including ovarian cancer (OV). LncRNA ELFN1-AS1 functioned as an oncogene in many cancers, but its potential roles in OV were largely unclear. In the current study, we were aimed at clarifying the biological roles and molecular mechanisms of ELFN1-AS1 in OV. We found that ELFN1-AS1 was significantly upregulated in OV tissues and cell lines. High expression of ELFN1-AS1 was associated with poor prognosis in OV patients. Knockdown of ELFN1-AS1 inhibited the proliferation, migration and invasion of SKOV3 cell lines and repressed tumor growth in xenografted ovarian models. Mechanistically, ELFN1-AS1 promoted the proliferation, migration and invasion of SKOV3 cells by sponging miR-497-3p. Additionally, CLDN4 was verified to be the target of miR-497-3p. Rescue experiments revealed that miR-497-3p inhibition could partly reverse the inhibitory effect of ELFN1-AS1 silencing on proliferation, migration and invasion of SKOV3 cell lines. Taken together, our findings indicated that ELFN1-AS1 acted as an oncogene in ovarian cancer through regulating the expression of CLDN4 by directly interacting with miR-497-3p. The results suggested that ELFN1-AS1 might act as a promising therapeutic target for OV.
DOI: 10.6084/m9.figshare.13049345
title: Mitochondrial serine protease Omi/HtrA2 accentuates brain ischemia/reperfusion injury in rats and oxidative stress injury in vitro by modulating mitochondrial stress proteins CHOP and ClpP and physically interacting with mitochondrial fusion protein OPA1

description: Serine protease Omi/HtrA2, a member of the HtrA family, is closely related to the maintenance of mitochondrial integrity and participates in apoptosis but its role in cerebral ischemia/reperfusion (I/R) injury and cellular oxidative stress response remains unclear. In this study, we found that I/R injury resulted in a time-dependent increase in Omi/HtrA2 expression in rat brain tissue. Inhibition of Omi/HtrA2 significantly inhibited XIAP cleavage in H<sub>2</sub>O<sub>2</sub>-induced PC12 cells. In addition, inhibition of Omi/HtrA2 significantly inhibited the up-regulation of mitochondrial stress proteins CHOP and ClpP, significantly reduced mitochondrial aggregation, and attenuated the decline of mitochondrial ΔΨm in PC12 cells. Studies show that there is a physical interaction between Omi/HtrA2 and OPA1. We found that Omi/HtrA2 and OPA1 are closely related to the oxidative stress mitochondrial response in PC12 cells. The current study has demonstrated that Omi/HtrA2 is upregulated in brain I/R injury <i>in vivo</i> and is implicated in mitochondrial response to oxidative stress <i>in vitro</i> by regulating mitochondrial stress proteins CHOP and CLpP and by interacting with mitochondrial cristae remodeling protein OPA1. These findings suggest that Omi/HtrA2 could be a candidate molecular target in diseases that involve oxidative stress such as in I/R injury. <b>Abbreviation</b>: ATP: Adenosine tripHospHate; Bax: BCL2-Associated X; Bcl-2: B-cell lympHoma-2; BSA: Albumin from bovine serum; DMEM: Dulbecco’s Minimum Essential Medium; DMSO: Dimethyl sulfoxide; HSP60: Heat shock protein60, 70; L-OPA1: Long forms of OPA1; Omi/HtrA2: high-temperature-regulated A2; MCAO: Middle cerebral artery occlusion; OPA1: Optic AtropHy; PBS: PHospHate buffered saline; PMSF: pHenylmethyl sulfonylfluoride; ROS: reactive oxygen species; SDS: Sodium dodecyl sulfate; S-OPA1: Short forms of OPA1; TTC: TripHenyltetrazalium chloride; XIAP: X-linked inhibitor apoptosis protein
DOI: 10.25345/c5b853x6h
title: MassIVE MSV000100698 - Characterization of Lectin isoforms from different varieties (Akra jay and Pusa early prolific) of Dolichos lablab L. by using LC-MS/MS label free quantification method.
title: In present studies, lectin proteins were isolated, characterized and comparatively analyzed from two seed varieties (Akra jay and PUSA Early Prolific) of Dolichos lablab L. to elucidate varietal and isoform level differences. The proteomic characterization of lectins was performed using OHR-LCMS/MS in data dependent acquisition mode with Sequest High Throughput analysis, followed by targeted validation and quantification using parallel reaction monitoring (PRM). High sequence coverage (86-97%), stringent mass tolerance, and peptide and protein false discovery rates below 1% confirmed the robustness of the analytical workflow. Peptide level analysis using Skyline software revealed pronounced isoform level heterogeneity among lectins from both the varieties. Lectins matching identical Uniport accession numbers displayed conserved core peptides along with variable and differentially abundant peptides indicating the presence of distinct isoforms and varietal specific peptide signature.
DOI: 10.6084/m9.figshare.31238761
title: Data & code for - Predation selection impacts social information use in guppies (<i>Poecilia reticulata</i>)

description: Here we use artificial selection lines of Trinidadian guppies (Poecilia reticulata) that had been selected for predation survival for three generations (and control lines that were visually and olfactory exposed to predation but in a secured enclosure) to test how predation selects for social information use. Individuals observed a demonstrator on a screen solving a colour association task, correctly or incorrectly, before attempting the task themselves. We show that individuals from both treatments learned the task, but only animals from the control lines relied on the use of social information during the process, while animals from the predation lines prioritized private information.For details on the data files, please refer to the README file included in this archive.
DOI: 10.6084/m9.figshare.31238761.v1
title: Data & code for - Predation selection impacts social information use in guppies (<i>Poecilia reticulata</i>)

description: Here we use artificial selection lines of Trinidadian guppies (Poecilia reticulata) that had been selected for predation survival for three generations (and control lines that were visually and olfactory exposed to predation but in a secured enclosure) to test how predation selects for social information use. Individuals observed a demonstrator on a screen solving a colour association task, correctly or incorrectly, before attempting the task themselves. We show that individuals from both treatments learned the task, but only animals from the control lines relied on the use of social information during the process, while animals from the predation lines prioritized private information.For details on the data files, please refer to the README file included in this archive.
DOI: 10.21227/vz76-w106
title: "Explainable Performance Anomaly Detection and Rectification in 5G-ORAN"

description: "Owing to the increasing reliance on black-box artificial intelligence (AI) and machine learning techniques for performance anomaly detection and rectification (PADR) in Fifth-Generation (5G) Open Radio Access Networks (O-RAN), concerns have arisen regarding the transparency and trustworthiness of such AI-driven systems. To address this challenge, a transparent 5G O-RAN framework is developed that leverages explainable AI (eXAI) metrics to interpret and validate the PADR process. In this framework, a novel Self-Learning Attention Mechanism (SLAM) integrated with a long short-term memory (LSTM) network is proposed to accurately identify and predict the key features that trigger performance anomalies. The output of the SLAM\u2013LSTM is subsequently utilized as input to a proximal policy optimization (PPO) algorithm for anomaly rectification and error mitigation. Furthermore, a centralized learning paradigm is adopted, wherein network statistics produced by the PPO agent are  polled into a centralized registry and subsequently sampled by extended applications (xAPPs) for model training. Using the sampled data, the xAPP computes eXAI metrics\u2014including confidence, comprehensiveness, entropy, and sensitivity\u2014to identify and explain the features responsible for triggering anomalies. Extensive simulation results demonstrate that the proposed approach consistently outperforms existing baseline methods."
DOI: 10.5281/zenodo.18465627
title: SWITCHING TO RENEWABLE ENERGY SOURCES

description: The article examines renewable energy sources such as solar, wind, geothermal and hydropower, which are generated from continuously replenished natural resources. The development and implementation of renewable energy technologies play a crucial role in addressing global challenges related to climate change, depletion of fossil fuels and energy security. Renewable energy sources not only reduce greenhouse gas emissions but also decrease dependence on volatile global energy markets and contribute to sustainable economic growth.
DOI: 10.5281/zenodo.18465628
title: SWITCHING TO RENEWABLE ENERGY SOURCES

description: The article examines renewable energy sources such as solar, wind, geothermal and hydropower, which are generated from continuously replenished natural resources. The development and implementation of renewable energy technologies play a crucial role in addressing global challenges related to climate change, depletion of fossil fuels and energy security. Renewable energy sources not only reduce greenhouse gas emissions but also decrease dependence on volatile global energy markets and contribute to sustainable economic growth.
DOI: 10.6084/m9.figshare.29891336.v1
title: Data_Beyond Human Beings: Development and Validation of the Non-Human Empathy Scale

description: · Empathy towards non-humans will ultimately affect human dignity· Non-Human Empathy Scale (NES) measures the competency of empathy toward non-humans· NES is novel in its focus on the social-relational aspects of anthropomorphism
DOI: 10.15468/dl.3j684b
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dicheranthus plocamoides"
 ]
}

 The dataset includes 170 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009087-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mq2jxq
title: Occurrence Download

description: A dataset containing 6493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((15.854907725361329 48.28844024596688, 15.969940075004029 48.28227528043877, 15.979122482885014 48.359633471353305, 15.86391513284981 48.36580934883207, 15.854907725361329 48.28844024596688))"
 ]
}

 The dataset includes 6493 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009085-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eu6xye
title: Occurrence Download

description: A dataset containing 333 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dermacentor reticulatus"
 ]
}

 The dataset includes 333 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009088-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xy27ka
title: Occurrence Download

description: A dataset containing 52592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Silene vulgaris, Silene inflata, Silene cucubalus)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 52592 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009064-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.btws2k
title: Occurrence Download

description: A dataset containing 493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sitobion avenae",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 493 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009091-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.97t8xz
title: Occurrence Download

description: A dataset containing 50098 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Silene flos-cuculi, Silene flos-cuculi, Lychnis flos-cuculi)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 50098 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009050-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpqqst
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Cambodia",
 "OccurrenceStatus is Present",
 "TaxonKey is Calidris tenuirostris"
 ]
}

 The dataset includes 43 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009089-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2j9me
title: Occurrence Download

description: A dataset containing 362067 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Castanea sativa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 362067 records from 1825 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009060-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bz2j7e
title: Occurrence Download

description: A dataset containing 3502 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Incilius alvarius (Girard, 1859)"
 ]
}

 The dataset includes 3502 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123102-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szrmvx
title: Occurrence Download

description: A dataset containing 1249582 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crataegus L."
 ]
}

 The dataset includes 1249582 records from 2904 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0236990-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15014812
title: HDMA RNA Seurat Objects Part1

description: This is the RNA Seurat objects for HDMA (Liu*, Jessa*, Kim*, Ng* et al, bioRxiv 2025). A detailed description of the main data types deposited on Zenodo can be found here.
DOI: 10.5281/zenodo.15014813
title: HDMA RNA Seurat Objects Part1

description: This is the RNA Seurat objects for HDMA (Liu*, Jessa*, Kim*, Ng* et al, bioRxiv 2025). A detailed description of the main data types deposited on Zenodo can be found here.
DOI: 10.5281/zenodo.15014808
title: HDMA RNA Seurat Objects Part4

description: This is the RNA Seurat objects for HDMA (Liu*, Jessa*, Kim*, Ng* et al, bioRxiv 2025). A detailed description of the main data types deposited on Zenodo can be found here.
DOI: 10.5281/zenodo.15014809
title: HDMA RNA Seurat Objects Part4

description: This is the RNA Seurat objects for HDMA (Liu*, Jessa*, Kim*, Ng* et al, bioRxiv 2025). A detailed description of the main data types deposited on Zenodo can be found here.
DOI: 10.25582/data.2024-04.3081046/2545975
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3081048/2545976
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3081049/2545977
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3081050/2545978
title: Data for EMSL Project 51287 from April 2024
DOI: 10.6084/m9.figshare.28735178
title: Anonymised visual and linguistic river meanings dataset

description: Anonymized visual and linguistic river meaning dataset. This dataset was the foundation for the Our River Adventure Glossary presented in "Combining visual and linguistic methods to cultivate and communicate river meanings with young children" accepted in People and Nature.
DOI: 10.25582/data.2024-04.3081052/2545979
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3081053/2545980
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3081054/2545981
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3081055/2545982
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3081056/2545983
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3081058/2545984
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3081059/2545985
title: Data for EMSL Project 51287 from April 2024
DOI: 10.15156/bio/sh1206991.10fu
title: SH1206991.10FU

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/sh1206997.10fu
title: SH1206997.10FU

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/sh1206999.10fu
title: SH1206999.10FU

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/sh1207004.10fu
title: SH1207004.10FU

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/sh1207007.10fu
title: SH1207007.10FU

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.