cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xjz379
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Glossogobius pumilus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017866-250827131500795/datasets/export for details.
DOI: 10.15468/dl.y5yc57
title: Occurrence Download

description: A dataset containing 506 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Byrsonima verbascifolia"
 ]
}

 The dataset includes 506 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017869-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qer2j8
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Odontites vulgaris"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017867-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74c92c
title: Occurrence Download

description: A dataset containing 12774 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Pultenaea daphnoides"
 ]
}

 The dataset includes 12774 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017868-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12936517
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.ju5mmb
title: Occurrence Download

description: A dataset containing 32296 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asplenium onopteris"
 ]
}

 The dataset includes 32296 records from 331 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017870-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w642gp
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthus debilis",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 42 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017874-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afswd2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "Geometry POLYGON((138.3 34.8, 138.8 34.8, 138.8 35.3, 138.3 35.3, 138.3 34.8))",
 "HasCoordinate is true",
 "Year is greater than or equal to 2000",
 "Year is less than 2001",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017873-250827131500795/datasets/export for details.
DOI: 10.6084/m9.figshare.28342025
title: <b>Comprehensive Single-Cell Transcriptomic Atlas of the Mouse Pons and Medulla</b>

description: This integrated dataset represents the large-scale transcriptomics cell atlas of pons and medulla, compiled from 8 independent single-cell/single-nucleus RNA sequencing (sc/sn-RNA seq) datasets. This integration was performed using a standardized bioinformatic workflow, clustering, and marker-based annotation. This dataset comprised 317 985 quality-passed cells with 45 cell types.This dataset offers a valuable source for single-cell neuroscience to understand region-specific molecular insights and their cellular diversity.To aid interpretability, annotations are structured hierarchically into three levels:<b>Level 1</b>: Broad categories (e.g., Neurons, Astrocytes, Oligodendrocytes)<b>Level 2</b>: Subtypes within broad categories (e.g., Excitatory neurons, Inhibitory neurons)<b>Level 3</b>: Fine-grained subtypes (e.g., Glut1, Glut2, GABA1, GABA2).In addition, we also incorporated label transfer from the <b>Yao et al. (</b>https://doi.org/10.1038/s41586-023-06812-z<b>)</b> to benchmark and validate our annotations. Transferred Yao labels are included in the metadata as <code>predicted.Class</code>, <code>predicted.Subclass</code>, and <code>predicted.Neurotransmitter</code>, together with associated confidence scores.We provide the following datasets to facilitate reuse:<b>Final_Integrated_Pons_Medulla.rds</b>Contains all neuronal and non-neuronal populations.The <code>cell_type</code> column includes Level 1, Level 2, and Level 3 annotations combined.<b>Pons_Medulla_Neurons_level_3.rds</b>Subset of neuronal populations.Includes <b>Level 2 and Level 3 annotations</b> for neurons in the <code>cell_type</code> column.<b>GABA_Gluta.rds</b>Subset of <b>excitatory (glutamatergic)</b> and <b>inhibitory (GABAergic)</b> neuronal populations.Includes <b>Level 3 annotations</b> for detailed analysis of these key neurotransmitter systems.<br>
DOI: 10.6084/m9.figshare.28342025.v3
title: <b>Comprehensive Single-Cell Transcriptomic Atlas of the Mouse Pons and Medulla</b>

description: This integrated dataset represents the large-scale transcriptomics cell atlas of pons and medulla, compiled from 8 independent single-cell/single-nucleus RNA sequencing (sc/sn-RNA seq) datasets. This integration was performed using a standardized bioinformatic workflow, clustering, and marker-based annotation. This dataset comprised 317 985 quality-passed cells with 45 cell types.This dataset offers a valuable source for single-cell neuroscience to understand region-specific molecular insights and their cellular diversity.To aid interpretability, annotations are structured hierarchically into three levels:<b>Level 1</b>: Broad categories (e.g., Neurons, Astrocytes, Oligodendrocytes)<b>Level 2</b>: Subtypes within broad categories (e.g., Excitatory neurons, Inhibitory neurons)<b>Level 3</b>: Fine-grained subtypes (e.g., Glut1, Glut2, GABA1, GABA2).In addition, we also incorporated label transfer from the <b>Yao et al. (</b>https://doi.org/10.1038/s41586-023-06812-z<b>)</b> to benchmark and validate our annotations. Transferred Yao labels are included in the metadata as <code>predicted.Class</code>, <code>predicted.Subclass</code>, and <code>predicted.Neurotransmitter</code>, together with associated confidence scores.We provide the following datasets to facilitate reuse:<b>Final_Integrated_Pons_Medulla.rds</b>Contains all neuronal and non-neuronal populations.The <code>cell_type</code> column includes Level 1, Level 2, and Level 3 annotations combined.<b>Pons_Medulla_Neurons_level_3.rds</b>Subset of neuronal populations.Includes <b>Level 2 and Level 3 annotations</b> for neurons in the <code>cell_type</code> column.<b>GABA_Gluta.rds</b>Subset of <b>excitatory (glutamatergic)</b> and <b>inhibitory (GABAergic)</b> neuronal populations.Includes <b>Level 3 annotations</b> for detailed analysis of these key neurotransmitter systems.<br>
DOI: 10.6084/m9.figshare.28342025.v4
title: <b>Comprehensive Single-Cell Transcriptomic Atlas of the Mouse Pons and Medulla</b>

description: This integrated dataset represents the large-scale transcriptomics cell atlas of pons and medulla, compiled from 8 independent single-cell/single-nucleus RNA sequencing (sc/sn-RNA seq) datasets. This integration was performed using a standardized bioinformatic workflow, clustering, and marker-based annotation. This dataset comprised 317 985 quality-passed cells with 45 cell types.This dataset offers a valuable source for single-cell neuroscience to understand region-specific molecular insights and their cellular diversity.To aid interpretability, annotations are structured hierarchically into three levels:<b>Level 1</b>: Broad categories (e.g., Neurons, Astrocytes, Oligodendrocytes)<b>Level 2</b>: Subtypes within broad categories (e.g., Excitatory neurons, Inhibitory neurons)<b>Level 3</b>: Fine-grained subtypes (e.g., Glut1, Glut2, GABA1, GABA2).In addition, we also incorporated label transfer from the <b>Yao et al. (</b>https://doi.org/10.1038/s41586-023-06812-z<b>)</b> to benchmark and validate our annotations. Transferred Yao labels are included in the metadata as <code>predicted.Class</code>, <code>predicted.Subclass</code>, and <code>predicted.Neurotransmitter</code>, together with associated confidence scores.We provide the following datasets to facilitate reuse:<b>Final_Integrated_Pons_Medulla.rds</b>Contains all neuronal and non-neuronal populations.The <code>cell_type</code> column includes Level 1, Level 2, and Level 3 annotations combined.<b>Pons_Medulla_Neurons_level_3.rds</b>Subset of neuronal populations.Includes <b>Level 2 and Level 3 annotations</b> for neurons in the <code>cell_type</code> column.<b>GABA_Gluta.rds</b>Subset of <b>excitatory (glutamatergic)</b> and <b>inhibitory (GABAergic)</b> neuronal populations.Includes <b>Level 3 annotations</b> for detailed analysis of these key neurotransmitter systems.<br>
DOI: 10.15468/dl.d5g5xp
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthus debilis",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017875-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cnhnkm
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthus debilis",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017876-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kp56wn
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cobitis zanandreai)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017877-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjjxmh
title: Occurrence Download

description: A dataset containing 195 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chamaecrista rotundata"
 ]
}

 The dataset includes 195 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017878-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v87nec
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum invalid, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate accuracy invalid, Coordinate precision/uncertainty mismatch, Footprint SRS invalid, Footprint WKT invalid, Country mismatch, Country invalid, Country derived from coordinates, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Recorded date unlikely, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, The scientific name differs on the record from that found in the checklist, Taxon match none, The backbone match found using the taxon IDs differs from what would be found if using the scientific names, Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Basis of record invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, Occurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution)",
 "OccurrenceStatus is Present",
 "TaxonKey is Symposiachrus everetti"
 ]
}

 The dataset includes 50 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017879-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6utat
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Acanthopagrus akazakii, Acanthopagrus arabicus, Acanthopagrus australis, Acanthopagrus berda, Acanthopagrus bertha, Acanthopagrus bifasciatus, Acanthopagrus butcheri, Acanthopagrus calamara, Acanthopagrus catenula, Acanthopagrus chinshira, Acanthopagrus cuvieri, Acanthopagrus datnia, Acanthopagrus latus, Acanthopagrus longispinnis, Acanthopagrus morrisonae, Acanthopagrus morrisoni, Acanthopagrus oconnorae, Acanthopagrus omanensis, Acanthopagrus pacificus, Acanthopagrus palmaris, Acanthopagrus randalli, Acanthopagrus schlegeli, Acanthopagrus schlegelii, Acanthopagrus schlegelii czerskii, Acanthopagrus schlegelii schlegelii, Acanthopagrus sheim, Acanthopagrus sivicolus, Acanthopagrus sp., Acanthopagrus sp., Acanthopagrus swinhonis czerskii, Acanthopagrus taiwanensis, Acanthopagrus vagus, Gerres kapas, Gerres limbatus, Gerres lineolatus, Gerres longicaudus, Gerres longirostris, Gerres lucidus, Gerres macracanthus, Gerres macrosoma, Gerres maldivensis, Gerres melanopterus, Gerres melbournensis, Gerres methueni, Gerres mexicanus, Gerres microphthalmus, Gerres mozambiquensis, Gerres nigri, Gerres oblongus, Gerres octactis, Gerres olisthostoma, Gerres olisthostomus, Gerres ovatus, Gerres oyena, Gerres oynea, Gerres patao, Gerres periche, Gerres peruvianus, Gerres phaiya, Gerres phayia, Gerres philippinus, Gerres plumieri, Gerres poieti, Gerres poietie, Gerres profundus, Gerres punctata, Gerres punctatus, Gerres rappi, Gerres rhombeus, Gerres rueppellii, Gerres ryukyuensis, Gerres septemfasciatus, Gerres setifer, Gerres shima, Gerres silaceus, Gerres simillimus, Gerres singaporensis, Gerres socotranus, Gerres splendens, Gerres subfasciatus, Gerres vaigiensis, Sardinops caerulea, Sardinops caeruleus, Sardinops dakini, Sardinops melanosticta, Sardinops melanostictus, Sardinops neopilchardus, Sardinops ocellata, Sardinops ocellatus, Sardinops sagax, Sardinops sagax caeruleus, Sardinops sagax melanosticta, Sardinops sagax musica, Sardinops sagax neopilchardus, Sardinops sagax sagax)",
 "Country is Japan"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017844-250827131500795/datasets/export for details.
DOI: 10.15468/dl.qbrbhc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthus debilis",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017881-250827131500795/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.29399958
title: The cholinergic anti-inflammatory reflex as a function of depression severity in adolescent non-suicidal self-injury

description: Non-suicidal self-injury (NSSI) is associated with pro-inflammatory states. The cholinergic anti-inflammatory reflex is a neural pathway, modulating the body’s inflammatory response. This study aimed to investigate the cholinergic anti-inflammatory reflex in adolescents with and without NSSI in a first, cross-sectional observational study. Heart rate variability (HRV; a proxy for vagus nerve activity), inflammatory markers (leukocytes, c-reactive protein (CRP), interleukin-6 (IL-6)) and several clinical measures were assessed in female adolescents with NSSI (<i>n</i> = 154) and healthy controls (<i>n</i> = 46). Statistical analyses tested for group differences and correlations between HRV, inflammatory markers and depression in patients and controls. Mediation analyses were conducted to test direct and indirect effects. The NSSI group showed greater depressive symptoms and leukocyte levels, but lower HRV compared to the control group. In the full sample, depression severity was positively correlated with leukocyte and CRP levels and negatively correlated with HRV. HRV was also negatively correlated with leukocyte and CRP levels. Depression severity mediated the association between leukocytes and HRV. Overall, this study lends initial support that lower vagal activity is associated with increased inflammatory markers in a sample of adolescents with NSSI which suggests altered functioning of the cholinergic anti-inflammatory reflex.
DOI: 10.6084/m9.figshare.29399958.v1
title: The cholinergic anti-inflammatory reflex as a function of depression severity in adolescent non-suicidal self-injury

description: Non-suicidal self-injury (NSSI) is associated with pro-inflammatory states. The cholinergic anti-inflammatory reflex is a neural pathway, modulating the body’s inflammatory response. This study aimed to investigate the cholinergic anti-inflammatory reflex in adolescents with and without NSSI in a first, cross-sectional observational study. Heart rate variability (HRV; a proxy for vagus nerve activity), inflammatory markers (leukocytes, c-reactive protein (CRP), interleukin-6 (IL-6)) and several clinical measures were assessed in female adolescents with NSSI (<i>n</i> = 154) and healthy controls (<i>n</i> = 46). Statistical analyses tested for group differences and correlations between HRV, inflammatory markers and depression in patients and controls. Mediation analyses were conducted to test direct and indirect effects. The NSSI group showed greater depressive symptoms and leukocyte levels, but lower HRV compared to the control group. In the full sample, depression severity was positively correlated with leukocyte and CRP levels and negatively correlated with HRV. HRV was also negatively correlated with leukocyte and CRP levels. Depression severity mediated the association between leukocytes and HRV. Overall, this study lends initial support that lower vagal activity is associated with increased inflammatory markers in a sample of adolescents with NSSI which suggests altered functioning of the cholinergic anti-inflammatory reflex.
DOI: 10.6084/m9.figshare.29399700
title: Escape genes from X-chromosome inactivation: new insights into candidate genes for intellectual disability in females

description: X-chromosome inactivation (XCI) is a dosage compensation mechanism in female mammals. Given that the Xchromosome harbours numerous genes implicated in cognitive function, variants in these genes can affect neurodevelopment and contribute to Intellectual Disability (ID). While research on ID has predominantly focused on males due to their hemizygous Xchromosome state, females, though often presenting with milder symptoms, may be affected by escape genes that evade XCI and influence the phenotype. This study investigated the role of escape genes in female ID. We employed data mining to analyse X-chromosome genes based on their XCI status, followed by functional enrichment analyses. Additionally, we conducted co-expression module evaluations in the main brain regions associated with ID and a protein-protein interaction (PPI) network analysis. We identified 31 significant modules linking XCI escape genes with ID-associated genes. The PPI network analysis further revealed direct interactions between the products of 25 genes and ID-related proteins. Five new candidate genes (RBMX2, PNPLA4, UBA1, RPS4X, and EIF1AX) were identified, four linked to known ID pathways. This study underscores the importance of escape genes in the context of female ID and paves the way for future experimental validation and molecular investigations into the functions of these genes.
DOI: 10.6084/m9.figshare.29399700.v1
title: Escape genes from X-chromosome inactivation: new insights into candidate genes for intellectual disability in females

description: X-chromosome inactivation (XCI) is a dosage compensation mechanism in female mammals. Given that the Xchromosome harbours numerous genes implicated in cognitive function, variants in these genes can affect neurodevelopment and contribute to Intellectual Disability (ID). While research on ID has predominantly focused on males due to their hemizygous Xchromosome state, females, though often presenting with milder symptoms, may be affected by escape genes that evade XCI and influence the phenotype. This study investigated the role of escape genes in female ID. We employed data mining to analyse X-chromosome genes based on their XCI status, followed by functional enrichment analyses. Additionally, we conducted co-expression module evaluations in the main brain regions associated with ID and a protein-protein interaction (PPI) network analysis. We identified 31 significant modules linking XCI escape genes with ID-associated genes. The PPI network analysis further revealed direct interactions between the products of 25 genes and ID-related proteins. Five new candidate genes (RBMX2, PNPLA4, UBA1, RPS4X, and EIF1AX) were identified, four linked to known ID pathways. This study underscores the importance of escape genes in the context of female ID and paves the way for future experimental validation and molecular investigations into the functions of these genes.