cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zmy4rz
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Astragalus peterae"
 ]
}

 The dataset includes 23 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052467-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pbtezt
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pomadasys ramosus"
 ]
}

 The dataset includes 35 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052468-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxyvmt
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Benin",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trichechus senegalensis",
 "Year 2015-2025"
 ]
}

 The dataset includes 28 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052469-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hkgnv
title: Occurrence Download

description: A dataset containing 38395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation)",
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pelophylax perezi"
 ]
}

 The dataset includes 38395 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052471-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.30445.86240
title: UNISOLIDS - SOLIDS AND SECTIONS OF “ UNIFIED SOLIDS DISCRETE GEOMETRIES”
DOI: 10.5281/zenodo.17929908
title: Material Data: YbMnBi2-300K

description: Material data for YbMnBi2-300K including PDF, IQ, SQ, FQ data
description: Formula: YbMnBi2, Facility: SSRF
DOI: 10.5281/zenodo.17929909
title: Material Data: YbMnBi2-300K

description: Material data for YbMnBi2-300K including PDF, IQ, SQ, FQ data
description: Formula: YbMnBi2, Facility: SSRF
DOI: 10.25345/c57w67k2d
title: MassIVE MSV000100211 - Bridging Genotype and Phenotype in Phospholamban R14del Dilated Cardiomyopathy Through Top-Down Proteomics
title: Background: Dilated cardiomyopathy (DCM) is a major cause of heart failure and genetically heterogenous, with approximately 40% of cases arising from pathogenic variants. The R14del mutation in phospholamban (PLN), a key regulator of calcium-handling and cardiac contraction via dynamic post-translational modifications (PTMs), is one of the most prevalent PLN mutations associated with inherited DCM. However, the underlying molecular mechanisms linking the variant to human disease remain poorly defined, limiting therapeutic options. A critical knowledge gap exists in determining how a single genetic variant alters the cardiac proteoform landscape in the human heart, including the PTMs that regulate protein function. Methods: We applied high-resolution mass spectrometry-based top-down proteomics to directly analyze intact proteins, distinguish modifications on mutant versus wild-type PLN, and comprehensively characterize the cardiac proteoform landscape in human tissues from DCM patients carrying the R14del mutation (n = 14), non-PLN DCM patients (n = 15), and nonfailing donor hearts (n = 15). Results: Top-down proteomics enables an unbiased allele-resolved analysis of intact combinatorially modified proteoforms and directly demonstrates how single pathogenic variants affected proteoform compositions. PLN phosphorylation and palmitoylation levels are markedly reduced in R14del patients compared to nonfailing donors and non-PLN DCM patients. We discover that phosphorylation of the mutant proteoform is strongly diminished, including at Thr17, which had previously been considered to be unaffected. Notably, the presence of the mutation imposed a dominant-negative effect on phosphorylation levels of PLN proteoforms translated from the non-mutated wild-type allele. Beyond PLN, we identify widespread remodeling of PTMs across key myofilament and Z-disc proteins, defining an R14del-specific proteoform signature distinct from other DCM etiologies. Finally, patient-level cardiac proteoform maps revealed substantial interindividual variability, underscoring the molecular heterogeneity within DCM. Conclusions: Top-down proteomics provided direct, allele-level evidence of how a single dominant-negative pathogenic variant reshapes the cardiac proteoform composition. These findings provide evidence that dysregulation through mutation-modification crosstalk is a disease mechanism and demonstrate that cohort-level and patient-specific proteoform profiling can be used to advance a precision medicine approach for DCM, identify new targeted therapies, and bridge the gap between patient genotype and clinical phenotype.
DOI: 10.15468/dl.c6jcgn
title: Occurrence Download

description: A dataset containing 7356 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ardeola ralloides",
 "Year 2013-2025"
 ]
}

 The dataset includes 7356 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052473-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yrw2kp
title: Occurrence Download

description: A dataset containing 18924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Tayassu pecari"
 ]
}

 The dataset includes 18924 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052474-251120083545085/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.30880136
title: Data and supplementary materials for "Meta-analysis on Meditation and Smartphone addiction<b>"</b>

description: Smartphone addiction has emerged as a growing behavioral concern associated with physical, psychological and social difficulties, particularly among adolescents and young population. Meditation based practices are increasingly proposed as a potential strategy to regulate problematic smartphone use, yet empirical evidence remains fragmented. This meta-analysis synthesized findings from RCTs and quasi experimental studies to examine effect of meditation based interventions in reducing smartphone addiction. This review was prospectively registered with PROSPERO(CRD420251162323). Eight eligible studies, including five RCTs and three quasi experimental studies were identified. All interventions involved structured meditation practices and smartphone addiction was assessed using validated questionnaires. Random effects meta-analysis indicated significant reduction in smartphone addiction following meditation interventions in RCTs (SMD=-0.67, 95% CI = -1.31 TO -0.03, P=0.04)) and Quasi experimental studies (SMD=-0.33, 95% CI = -0.64 TO -0.01, P=0.04). Substantial heterogeneity was observed among RCTs (Q4=24.47, p&lt;0.0001), but not significant among quasi Experimental studies (Q2=0.97, p=0.62). Meditation based intervention demonstrate a modest but significant effect in reducing smartphone addiction, though evidence remains limited by small sample sizes, methodological variability and emerging research in this area.
DOI: 10.6084/m9.figshare.30880136.v1
title: Data and supplementary materials for "Meta-analysis on Meditation and Smartphone addiction<b>"</b>

description: Smartphone addiction has emerged as a growing behavioral concern associated with physical, psychological and social difficulties, particularly among adolescents and young population. Meditation based practices are increasingly proposed as a potential strategy to regulate problematic smartphone use, yet empirical evidence remains fragmented. This meta-analysis synthesized findings from RCTs and quasi experimental studies to examine effect of meditation based interventions in reducing smartphone addiction. This review was prospectively registered with PROSPERO(CRD420251162323). Eight eligible studies, including five RCTs and three quasi experimental studies were identified. All interventions involved structured meditation practices and smartphone addiction was assessed using validated questionnaires. Random effects meta-analysis indicated significant reduction in smartphone addiction following meditation interventions in RCTs (SMD=-0.67, 95% CI = -1.31 TO -0.03, P=0.04)) and Quasi experimental studies (SMD=-0.33, 95% CI = -0.64 TO -0.01, P=0.04). Substantial heterogeneity was observed among RCTs (Q4=24.47, p&lt;0.0001), but not significant among quasi Experimental studies (Q2=0.97, p=0.62). Meditation based intervention demonstrate a modest but significant effect in reducing smartphone addiction, though evidence remains limited by small sample sizes, methodological variability and emerging research in this area.
DOI: 10.6084/m9.figshare.30880160
title: Comparative effectiveness of selective serotonin reuptake inhibitors versus serotonin-norepinephrine reuptake inhibitors in the risk of diagnostic conversion from unipolar depression to bipolar disorder

description: The potential risk of diagnostic conversion from unipolar depression to bipolar disorder with antidepressant use, particularly serotonin-norepinephrine reuptake inhibitors (SNRIs) versus selective serotonin reuptake inhibitors (SSRIs), remains debated. This study aims to investigate the relationship between SSRI and SNRI use and the risk of diagnostic conversion. We conducted a retrospective cohort study using the Korean version of the Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM). The target cohort comprised patients prescribed SNRIs, while the comparator cohort included those prescribed SSRIs. The primary outcome was a new diagnosis of bipolar disorder occurring at least six months after antidepressant initiation. After propensity score adjustment, no significant difference in the risk of diagnostic conversion was observed between SSRI and SNRI users. In the distributed network analysis, SNRI use was not significantly associated with an increased risk of diagnostic conversion compared to SSRI use after both 1:1 propensity score matching (hazard ratio [HR] = 1.28, 95% confidence interval [95% CI]: 0.90–1.82; <i>I</i><sup>2</sup> = 24.1%) and 1:2 propensity score matching (HR = 1.16, 95% CI: 0.88–1.53, <i>I</i><sup>2</sup> = 0%). This study observed no significant difference in the risk of diagnostic conversion to bipolar disorder between SSRI and SNRI users. A multicentre retrospective cohort analysis found no significant difference in the risk of diagnostic conversion to bipolar disorder between SSRI and SNRI users.The results remained consistent across both 1:1 and 1:2 propensity score matching, minimising confounding bias.Further research incorporating individual antidepressants, polypharmacy, and prospective designs is recommended. A multicentre retrospective cohort analysis found no significant difference in the risk of diagnostic conversion to bipolar disorder between SSRI and SNRI users. The results remained consistent across both 1:1 and 1:2 propensity score matching, minimising confounding bias. Further research incorporating individual antidepressants, polypharmacy, and prospective designs is recommended.
DOI: 10.6084/m9.figshare.30880160.v1
title: Comparative effectiveness of selective serotonin reuptake inhibitors versus serotonin-norepinephrine reuptake inhibitors in the risk of diagnostic conversion from unipolar depression to bipolar disorder

description: The potential risk of diagnostic conversion from unipolar depression to bipolar disorder with antidepressant use, particularly serotonin-norepinephrine reuptake inhibitors (SNRIs) versus selective serotonin reuptake inhibitors (SSRIs), remains debated. This study aims to investigate the relationship between SSRI and SNRI use and the risk of diagnostic conversion. We conducted a retrospective cohort study using the Korean version of the Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM). The target cohort comprised patients prescribed SNRIs, while the comparator cohort included those prescribed SSRIs. The primary outcome was a new diagnosis of bipolar disorder occurring at least six months after antidepressant initiation. After propensity score adjustment, no significant difference in the risk of diagnostic conversion was observed between SSRI and SNRI users. In the distributed network analysis, SNRI use was not significantly associated with an increased risk of diagnostic conversion compared to SSRI use after both 1:1 propensity score matching (hazard ratio [HR] = 1.28, 95% confidence interval [95% CI]: 0.90–1.82; <i>I</i><sup>2</sup> = 24.1%) and 1:2 propensity score matching (HR = 1.16, 95% CI: 0.88–1.53, <i>I</i><sup>2</sup> = 0%). This study observed no significant difference in the risk of diagnostic conversion to bipolar disorder between SSRI and SNRI users. A multicentre retrospective cohort analysis found no significant difference in the risk of diagnostic conversion to bipolar disorder between SSRI and SNRI users.The results remained consistent across both 1:1 and 1:2 propensity score matching, minimising confounding bias.Further research incorporating individual antidepressants, polypharmacy, and prospective designs is recommended. A multicentre retrospective cohort analysis found no significant difference in the risk of diagnostic conversion to bipolar disorder between SSRI and SNRI users. The results remained consistent across both 1:1 and 1:2 propensity score matching, minimising confounding bias. Further research incorporating individual antidepressants, polypharmacy, and prospective designs is recommended.
DOI: 10.34740/kaggle/dsv/14154923
title: fine-tunning-risk-enterprise
DOI: 10.5281/zenodo.17850659
title: Oxcarbazepine influence on the pharmacokinetic profile of Aripiprazole and Dehydroaripiprazole. Raw Data
title: Aripiprazole and dehydroaripiprazole plasma concentrations and pharmacokinetic parameters with and without oxcarbazepine administration in rats

description: This dataset contains raw plasma concentration data for aripiprazole and its active metabolite, dehydroaripiprazole, measured in vivo in a rat model, with or without a 5-day oxcarbazepine pretreatment (85 mg/kg/day, 5 days, p.o.). Aripiprazole (8 mg/kg body weight, p.o.) was administered as a single dose to Wistar albino rats (n=12 per group). Concentrations are reported at each time point for every individual rat. In addition, individual pharmacokinetic parameters (Cmax, Tmax, AUC, Kel, half-life, MRT, Vd/F and Cl/F), determined using Phoenix WinNonlin software version 8.5.2 (Pharsight Company, Mountain View, CA, USA), are provided for both experimental groups. The dataset is intended to support pharmacokinetic analyses of drug–drug interactions involving aripiprazole and oxcarbazepine, a mild CYP3A4 isoenzyme inducer.
DOI: 10.5281/zenodo.17850660
title: Oxcarbazepine influence on the pharmacokinetic profile of Aripiprazole and Dehydroaripiprazole. Raw Data
title: Aripiprazole and dehydroaripiprazole plasma concentrations and pharmacokinetic parameters with and without oxcarbazepine administration in rats

description: This dataset contains raw plasma concentration data for aripiprazole and its active metabolite, dehydroaripiprazole, measured in vivo in a rat model, with or without a 5-day oxcarbazepine pretreatment (85 mg/kg/day, 5 days, p.o.). Aripiprazole (8 mg/kg body weight, p.o.) was administered as a single dose to Wistar albino rats (n=12 per group). Concentrations are reported at each time point for every individual rat. In addition, individual pharmacokinetic parameters (Cmax, Tmax, AUC, Kel, half-life, MRT, Vd/F and Cl/F), determined using Phoenix WinNonlin software version 8.5.2 (Pharsight Company, Mountain View, CA, USA), are provided for both experimental groups. The dataset is intended to support pharmacokinetic analyses of drug–drug interactions involving aripiprazole and oxcarbazepine, a mild CYP3A4 isoenzyme inducer.
DOI: 10.34740/kaggle/ds/8994805
title: CBIS-DDSM patches: Crops and masks
DOI: 10.6084/m9.figshare.30880154
title: Data input files and R code

description: Data input files and R code
DOI: 10.6084/m9.figshare.30880154.v1
title: Data input files and R code

description: Data input files and R code
DOI: 10.15468/dl.n7t5gz
title: Occurrence Download

description: A dataset containing 53180 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 countrycode countrycode,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, countrycode, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, countrycode, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, countrycode, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, countrycode, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, countrycode, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, countrycode, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.datasetkey = '4fa7b334-ce0d-4e88-aaae-2e0c138d049e'
 AND occurrence.publishingcountry = 'BR'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year",
 occurrence.countrycode

 The dataset's 53180 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052470-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z6mb47
title: Occurrence Download

description: A dataset containing 26841 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Balistes capriscus"
 ]
}

 The dataset includes 26841 records from 244 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052475-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17929962
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Alvan Wentworth Chapman, http://www.wikidata.org/entity/Q448279. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q448279
DOI: 10.15468/dl.a8na7c
title: Occurrence Download

description: A dataset containing 42147 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melichthys niger"
 ]
}

 The dataset includes 42147 records from 219 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052476-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17929958
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Rodolphe Meyer de Schauensee, http://www.wikidata.org/entity/Q434472. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q434472
DOI: 10.15468/dl.qmdvuc
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Astragalus petraeus"
 ]
}

 The dataset includes 44 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052477-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17929966
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Johan Severin Axell, http://www.wikidata.org/entity/Q5562915. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5562915
DOI: 10.15468/dl.9yj8x6
title: Occurrence Download

description: A dataset containing 11717 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macroramphosus scolopax"
 ]
}

 The dataset includes 11717 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052479-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wt9xpt
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bathyraja schroederi"
 ]
}

 The dataset includes 19 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052482-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.