cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28182844
title: Intravenous administration of mitochondria improves ovarian function by anti-apoptosis in the premature ovarian insufficiency model

description: For patients with contraindications to hormone therapy, the absence of effective treatments for ovarian dysfunction post chemotherapy represents a critical issue requiring resolution. Local administration of mitochondria may enhance ovarian function in premature ovarian insufficiency (POI) by ameliorating diminished mitochondrial activity. Nevertheless, there is a paucity of literature on the efficacy of mitochondrial transplantation through intravenous injection, a less invasive and more convenient method than local injection, for the improvement of ovarian function in POI following chemotherapy. Mitochondria were isolated from mouse livers, their activity and integrity were validated with MitoTracker Red and their localization was examined via confocal microscopy, real-time quantitative PCR and enzyme-linked immunosorbent assay post tail vein injection. An ovarian insufficiency animal model induced by chemotherapy was developed, and ovarian function was assessed through ovarian diameter, vaginal smear, body weight, sex hormone levels and histological analysis. The impact of mitochondrial transplantation on an ovarian cell model was examined through the assessment of mitochondrial function, apoptosis and levels of reactive oxygen species. Tail vein injection of isolated mitochondria has the potential to enhance ovarian functions in an animal model of POI induced by cyclophosphamide, increase mitochondrial activity in impaired ovarian cells and decrease the rate of apoptosis.
DOI: 10.6084/m9.figshare.28182844.v1
title: Intravenous administration of mitochondria improves ovarian function by anti-apoptosis in the premature ovarian insufficiency model

description: For patients with contraindications to hormone therapy, the absence of effective treatments for ovarian dysfunction post chemotherapy represents a critical issue requiring resolution. Local administration of mitochondria may enhance ovarian function in premature ovarian insufficiency (POI) by ameliorating diminished mitochondrial activity. Nevertheless, there is a paucity of literature on the efficacy of mitochondrial transplantation through intravenous injection, a less invasive and more convenient method than local injection, for the improvement of ovarian function in POI following chemotherapy. Mitochondria were isolated from mouse livers, their activity and integrity were validated with MitoTracker Red and their localization was examined via confocal microscopy, real-time quantitative PCR and enzyme-linked immunosorbent assay post tail vein injection. An ovarian insufficiency animal model induced by chemotherapy was developed, and ovarian function was assessed through ovarian diameter, vaginal smear, body weight, sex hormone levels and histological analysis. The impact of mitochondrial transplantation on an ovarian cell model was examined through the assessment of mitochondrial function, apoptosis and levels of reactive oxygen species. Tail vein injection of isolated mitochondria has the potential to enhance ovarian functions in an animal model of POI induced by cyclophosphamide, increase mitochondrial activity in impaired ovarian cells and decrease the rate of apoptosis.
DOI: 10.15468/dl.dvwhrk
title: Occurrence Download

description: A dataset containing 8944 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Pteridium aquilinum (L.) Kuhn"
 ]
}

 The dataset includes 8944 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004340-250325103851331/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.24849945
title: Estrogen as a guardian of auditory health: Tsp1–CD47 axis regulation and noise-induced hearing loss

description: This study aimed to analyze the role of estrogen in noise-induced hearing loss (NIHL) and uncover underlying mechanisms. An ovariectomized Sprague-Dawley rat model (OVX) was constructed to investigate the hearing threshold and auditory latency before and after noise exposure using the auditory brainstem response (ABR) test. The morphological changes were assessed using immunofluorescence, scanning electron microscopy and transmission electron microscopy. Proteomics and bioinformatics were used to analyze the mechanism. The findings were further verified through western blot and Luminex liquid suspension chip technology. After noise exposure, OVX rats exhibited substantially elevated hearing thresholds. A conspicuous delay in ABR wave I latency was observed, alongside increased loss of outer hair cells, severe collapse of stereocilia and pronounced deformation of the epidermal plate. Accordingly, OVX rats with estrogen supplementation exhibited tolerance to NIHL. Additionally, a remarkable upregulation of the thrombospondin 1 (Tsp1)–CD47 axis in OVX rats was discovered and verified. OVX rats were more susceptible to NIHL, and the protective effect of estrogen was achieved through regulation of the Tsp1–CD47 axis. This study presents a novel mechanism through which estrogen regulates NIHL and offers a potential intervention strategy for the clinical treatment of NIHL.
DOI: 10.15468/dl.n54c6f
title: Occurrence Download

description: A dataset containing 8944 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Pteridium aquilinum (L.) Kuhn"
 ]
}

 The dataset includes 8944 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004337-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/12d3-7t19
title: DGCMF-MSN

description: The dataset of the DGCMF-MSN, where includes 1,020 drug entities, 5,598 standardized side effects, and 133,750 validated positive association samples. Additionally, the feature-engineered data derived from the three-modal data of these 1,020 drugs are also included. Drug-se_matrix.txt is a matrix of drug-side effect associations. Drugs.smiles contains feature engineering results derived from SMILES representations. Drugs.fpt contains molecular fingerprint feature engineering results. The files mpnn_toxcast.npy, nf_toxcast.npy, weave_toxcast.npy, and afp_toxcast.npy represent graph embeddings of molecular structures generated by MPNN, NF, Weave, and AFP models respectively. Drugs1020.json contains identifiers for these 1020 drugs.
DOI: 10.6084/m9.figshare.28680230
title: 16S rRNA Data

description: This is the raw data of changes in the microbiota under water-deficient conditions.
DOI: 10.15468/dl.awtvfd
title: Occurrence Download

description: A dataset containing 4272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "TaxonKey is Erica arborea L."
 ]
}

 The dataset includes 4272 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004342-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15097878
title: Perception of Infertility Risk vs. Objective Fertility Status in Males exposed to Alkylating Agents but not Radiation Therapy: A Report from the St. Jude Lifetime (SJLIFE) Cohort Study

description: The attached file is associated with a manuscript titled "Perception of Infertility Risk vs. Objective Fertility Status in Males exposed to Alkylating Agents but not Radiation Therapy: A Report from the St. Jude Lifetime (SJLIFE) Cohort Study" that can be found in the Journal of Cancer Survivorship.
DOI: 10.5281/zenodo.15097879
title: Perception of Infertility Risk vs. Objective Fertility Status in Males exposed to Alkylating Agents but not Radiation Therapy: A Report from the St. Jude Lifetime (SJLIFE) Cohort Study

description: The attached file is associated with a manuscript titled "Perception of Infertility Risk vs. Objective Fertility Status in Males exposed to Alkylating Agents but not Radiation Therapy: A Report from the St. Jude Lifetime (SJLIFE) Cohort Study" that can be found in the Journal of Cancer Survivorship.
DOI: 10.15468/dl.2wqmf6
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Psilocybe mexicana R.Heim"
 ]
}

 The dataset includes 152 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004343-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bb67tp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonId is 7568403"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004344-250325103851331/datasets/export for details.
DOI: 10.15468/dl.jj9qqm
title: Occurrence Download

description: A dataset listing the 80217 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2024"
 ]
}

 The dataset's 80217 records were derived from 915 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004335-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ptdx8
title: Occurrence Download

description: A dataset containing 1820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leucoraja naevus (Müller & Henle, 1841)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Material sample)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1820 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004545-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mbfeh
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidagathis heudelotiana Nees",
 "Continent is Africa"
 ]
}

 The dataset includes 150 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004546-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1172679.10fu
title: SH1172679.10FU

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/sh1172685.10fu
title: SH1172685.10FU

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/sh1172687.10fu
title: SH1172687.10FU

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/sh1172689.10fu
title: SH1172689.10FU

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/sh1172690.10fu
title: SH1172690.10FU

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/sh1172694.10fu
title: SH1172694.10FU

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: 10.3886/e243086
title: v

description: <b>Maduka University, Ekwegbe, Enugu State 2026/27 JUPEB/IJMB Form is out ☎️(08039478772) DR MERCY☎️ (+23408039478772) Direct-Entry Form, Transfer Form, Change of institution form, Change of Course form, Post graduate Diploma form, Masters form, Phd form call ☎️(+23408039478772) for more inquiry and admission assistance.</b>
DOI: 10.15156/bio/sh1172695.10fu
title: SH1172695.10FU

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/sh1172699.10fu
title: SH1172699.10FU

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/sh1172703.10fu
title: SH1172703.10FU

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/sh1172706.10fu
title: SH1172706.10FU

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.