cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14223428
title: Unraveling Dengue Serotype 3 Transmission in Brazil: Evidence for Multiple Introductions of the 3III_B.3.2 Lineage

description: This dataset contains genomic and phylogeographic analyses of the recent reemergence of Dengue virus serotype 3 (DENV-3) in Brazil during 2023-2024. The study focuses on 1,541 DENV-3 genomes, including two newly sequenced genomes from the state of Pará, Brazil. The genomes were classified as belonging to the 3III genotype, dominant in Brazil since 2001. The analyses revealed the circulation of two main lineages within genotype 3III, with the 3III_B.3.2 lineage associated with recent Brazilian cases. Phylogeographic results identified multiple independent introductions of this lineage into Brazil from the Caribbean, with subsequent internal dispersal. These findings underscore the importance of genomic surveillance in controlling DENV-3 outbreaks and the need for coordinated public health efforts.
DOI: 10.5281/zenodo.14748070
title: Unraveling Dengue Serotype 3 Transmission in Brazil: Evidence for Multiple Introductions of the 3III_B.3.2 Lineage

description: Dengue, caused by DENV 1-4, remains a global public health concern, with Brazil experiencing some of the largest epidemics. The reemergence of DENV-3 in Brazil between 2023 and 2024 has raised concerns about new outbreaks due to the absence of sustained circulation of this serotype in recent years. This study investigates the dynamics of DENV-3 in Brazil, focusing on the spread of the 3III_B.3.2 lineage within genotype 3III and its introduction routes. We analyzed 1,536 DENV-3 genomes, all classified as genotype 3III, the dominant DENV-3 genotype in Brazil since 2001. Phylogenetic analysis identified the 3III_B.3.2 lineage in all recent Brazilian cases, with detections also reported in Central America, the United States, and Europe. At least six independent introduction events of this lineage into Brazil were identified, with the Caribbean region and Costa Rica as the primary sources. The earliest introduction likely occurred in late 2022 in Roraima, followed by introductions in Sao Paulo, Minas Gerais, and Para. While one instance of interstate transmission was detected - from Sao Paulo to Minas Gerais - our findings indicate that external introductions, rather than domestic spread, were the primary drivers of DENV-3 circulation during this period. These results underscore the importance of continued genomic surveillance and coordinated public health strategies to monitor and mitigate future outbreaks
DOI: 10.5281/zenodo.15045424
title: Unraveling Dengue Serotype 3 Transmission in Brazil: Evidence for Multiple Introductions of the 3III_B.3.2 Lineage

description: Dengue, caused by DENV 1-4, remains a global public health concern, with Brazil experiencing some of the largest epidemics. The reemergence of DENV-3 in Brazil between 2023 and 2024 has raised concerns about new outbreaks due to the absence of sustained circulation of this serotype in recent years. This study investigates the dynamics of DENV-3 in Brazil, focusing on the spread of the 3III_B.3.2 lineage within genotype 3III and its introduction routes. We analyzed 1,536 DENV-3 genomes, all classified as genotype 3III, the dominant DENV-3 genotype in Brazil since 2001. Phylogenetic analysis identified the 3III_B.3.2 lineage in all recent Brazilian cases, with detections also reported in Central America, the United States, and Europe. At least six independent introduction events of this lineage into Brazil were identified, with the Caribbean region and Costa Rica as the primary sources. The earliest introduction likely occurred in late 2022 in Roraima, followed by introductions in Sao Paulo, Minas Gerais, and Para. While one instance of interstate transmission was detected - from Sao Paulo to Minas Gerais - our findings indicate that external introductions, rather than domestic spread, were the primary drivers of DENV-3 circulation during this period. These results underscore the importance of continued genomic surveillance and coordinated public health strategies to monitor and mitigate future outbreaks
DOI: 10.5281/zenodo.15045282
title: Ichthyoplankton data in the São Marcos bay
DOI: 10.6084/m9.figshare.28464782.v6
title: “米诺环素在体内和体外通过 TLR4 介导的 NF-κB 信号通路抑制玫瑰痤疮样炎症”的相关研究数据

description: 本研究通过体内和体外试验探讨了米诺环素在玫瑰痤疮中的潜在治疗作用和可能的机制。
DOI: 10.5281/zenodo.15011298
title: From brain to sperm: how psychoactive contaminants can affect fish sperm function

description: Psychoactive drugs specifically act on neurotransmitters or neuroreceptors in the nervous system, both in humans and fish. Sperm function is similarly regulated by signals, several of which involve neurotransmitters. In this study, we conducted a comprehensive analysis of common neurotransmitters in the fish brain, gonads, and sperm to investigate whether methamphetamine alters their levels and sperm function. Methamphetamine was found to bioaccumulate in the brain, sperm, and gonads, leading to changes in certain neurotransmitter concentrations as well as sperm motility and velocity. These findings suggest that psychoactive drugs, designed to alter behavior, may also impair sperm function, posing potential threats to fish reproduction and aquatic ecosystems.
DOI: 10.5281/zenodo.15011299
title: From brain to sperm: how psychoactive contaminants can affect fish sperm function

description: Psychoactive drugs specifically act on neurotransmitters or neuroreceptors in the nervous system, both in humans and fish. Sperm function is similarly regulated by signals, several of which involve neurotransmitters. In this study, we conducted a comprehensive analysis of common neurotransmitters in the fish brain, gonads, and sperm to investigate whether methamphetamine alters their levels and sperm function. Methamphetamine was found to bioaccumulate in the brain, sperm, and gonads, leading to changes in certain neurotransmitter concentrations as well as sperm motility and velocity. These findings suggest that psychoactive drugs, designed to alter behavior, may also impair sperm function, posing potential threats to fish reproduction and aquatic ecosystems.
DOI: 10.17632/84r33br7vm.1
title: Neutrophil to lymphocyte ratio and antidepressant treatment response in patients with major depressive disorder: Effect of sex and hippocampal volume

description: Several factors may affect response to treatment in Major Depressive Disorder (MDD) including immune/inflammatory alterations and regional brain volumes, particularly in hippocampal regions which have shown to be influenced by inflammatory status. Neutrophil-to-lymphocyte ratio (NLR) is an inflammatory marker found to be elevated in depressed women in large population studies. Here we investigate the effect of NLR on treatment response in MDD patients, and the role of sex and hippocampal volume on influencing this relationship. A sample of 124 MDD depressed inpatients (F = 80) underwent MRI acquisition, admission NLR was calculated by dividing absolute neutrophil by absolute lymphocyte counts and depression severity was assessed at admission and discharge via the Hamilton Depression Rating Scale (HDRS). As a measure of treatment response, delta HDRS was calculated. We found a significant moderation effect of sex on the relationship between NLR and Delta HDRS: a negative relation was found in females and a positive one in males. NLR was found to negatively affect hippocampal volumes in females. Both left and right hippocampal volume positively associated with Delta HDRS. Finally, left hippocampal volume mediated the effect of NLR on Delta HDRS in females. Sex moderated the relation between inflammation and treatment response in line with previous reports linking inflammation to hampered antidepressant effect in females. Further, this effect is partially mediated by hippocampal volume, suggesting that antidepressant response may be hampered by the detrimental effect of inflammation on the brain.
DOI: 10.17632/dd2vnmsgzz.1
title: Long-term effect of childhood trauma: Role of inflammation and white matter in mood disorders

description: Bipolar disorder (BD) and major depressive disorder (MDD) are severe psychiatric illnesses that share among their environmental risk factors the exposure to adverse childhood experiences (ACE). Exposure to ACE has been associated with long-term changes in brain structure and the immune response. In the lasts decades, brain abnormalities including alterations of white matter (WM) microstructure and higher levels of peripheral immune/inflammatory markers have been reported in BD and MDD and an association between inflammation and WM microstructure has been shown. However, differences in these measures have been reported by comparing the two diagnostic groups. The aim of the present study was to investigate the interplay between ACE, inflammation, and WM in BD and MDD. We hypothesize that inflammation will mediate the association between ACE and WM and that this will be different in the two groups. A sample of 200 patients (100 BD, 100 MDD) underwent 3T MRI scan and ACE assessment through Childhood Trauma Questionnaire. A subgroup of 130 patients (75 MDD and 55 BD) underwent blood sampling for the assessment of immune/inflammatory markers. We observed that ACE associated with higher peripheral levels of IL-2, IL-17, bFGF, IFN-γ, TNF-α, CCL3, CCL4, CCL5, and PDGFBB only in the BD group. Further, higher levels of CCL3 and IL-2 associated with lower FA in BD. ACE were found to differently affect WM microstructure in the two diagnostic groups and to be negatively associated with FA and AD in BD patients. Mediation analyses showed a significant indirect effect of ACE on WM microstructure mediated by IL-2. Our findings suggest that inflammation may mediating the detrimental effect of early experiences on brain structure and different mechanism underlying brain alterations in BD and MDD.
DOI: 10.15468/dl.t9a7rm
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micralymma marinum (Ström, 1783)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 215 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014906-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mysqft
title: Occurrence Download

description: A dataset containing 5207 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Butterflies of Singapore and Peninsular Malaysia (Lycaenidae)"
 ]
}

 The dataset includes 5207 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014908-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15015001
title: Top 100 cat names in Sweden 2024

description: Top 100 cat names collected and published by the Swedish Board of Agriculture.
description: This dataset is a csv version of "De-popularaste-kattnamnen-tga.pdf" published at:https://jordbruksverket.se/download/18.1ce9e23b1888e722e677aad9/1736759363841/De-popularaste-kattnamnen-tga.pdf
description: Columns in cat-names-top-100-sweden-2024.csv




place
the numeric order in the published list


cat_name
the name of the cat


count
number of cats with the name
DOI: 10.5281/zenodo.15015002
title: Top 100 cat names in Sweden 2024

description: Top 100 cat names collected and published by the Swedish Board of Agriculture.
description: This dataset is a csv version of "De-popularaste-kattnamnen-tga.pdf" published at:https://jordbruksverket.se/download/18.1ce9e23b1888e722e677aad9/1736759363841/De-popularaste-kattnamnen-tga.pdf
description: Columns in cat-names-top-100-sweden-2024.csv




place
the numeric order in the published list


cat_name
the name of the cat


count
number of cats with the name
DOI: 10.5281/zenodo.15019848
title: Novel Integrated Online DPPH-Assisted Multimodal Dereplication Workflow for Identifying Antioxidant Compounds in Complex Mixtures and its Application to a Supercritical CO₂ Extract of Makwaen Pepper By-product

description: The identification of bioactive compounds in complex natural extracts remains a major challenge, particularly in the context of the sustainable valorization of by-products. In this study, an integrated dereplication strategy combining online DPPH-assisted screening, HRMS/MS, and 13C NMR-based chemical profiling was developed to identify antioxidant compounds in a supercritical CO₂ extract of Makwaen pepper (Zanthoxylum myriacanthum) by-product. A comprehensive offline CPC × HPLC coupling was employed to fractionate the extract, enhancing sensitivity and facilitating structure elucidation. The CATHEDRAL annotation tool was used to classify compounds based on annotation confidence levels, integrating data from Sirius, NAP, FBMN, and the CaraMel 13C NMR workflow. A total of 50 active compounds were identified, including flavonoids, caffeic and quinic acid esters, phloroglucinols, and lignans. This workflow provides a rapid and robust approach for dereplicating antioxidants in natural extracts, supporting the development of sustainable bioactive ingredients for cosmetic applications.
description: NMR.zip: NMR raw files

MS.zip: MS files converted to open format

MZmine.zip: Batch file and export files from MZmine data processing

Cytoscape.zip: .cys file from Cytoscape for molecular network visualization
DOI: 10.5281/zenodo.15019849
title: Novel Integrated Online DPPH-Assisted Multimodal Dereplication Workflow for Identifying Antioxidant Compounds in Complex Mixtures and its Application to a Supercritical CO₂ Extract of Makwaen Pepper By-product

description: The identification of bioactive compounds in complex natural extracts remains a major challenge, particularly in the context of the sustainable valorization of by-products. In this study, an integrated dereplication strategy combining online DPPH-assisted screening, HRMS/MS, and 13C NMR-based chemical profiling was developed to identify antioxidant compounds in a supercritical CO₂ extract of Makwaen pepper (Zanthoxylum myriacanthum) by-product. A comprehensive offline CPC × HPLC coupling was employed to fractionate the extract, enhancing sensitivity and facilitating structure elucidation. The CATHEDRAL annotation tool was used to classify compounds based on annotation confidence levels, integrating data from Sirius, NAP, FBMN, and the CaraMel 13C NMR workflow. A total of 50 active compounds were identified, including flavonoids, caffeic and quinic acid esters, phloroglucinols, and lignans. This workflow provides a rapid and robust approach for dereplicating antioxidants in natural extracts, supporting the development of sustainable bioactive ingredients for cosmetic applications.
description: NMR.zip: NMR raw files

MS.zip: MS files converted to open format

MZmine.zip: Batch file and export files from MZmine data processing

Cytoscape.zip: .cys file from Cytoscape for molecular network visualization
DOI: 10.6084/m9.figshare.28464782
title: “米诺环素在体内和体外通过 TLR4 介导的 NF-κB 信号通路抑制玫瑰痤疮样炎症”的相关研究数据

description: 本研究通过体内和体外试验探讨了米诺环素在玫瑰痤疮中的潜在治疗作用和可能的机制。
DOI: 10.15468/dl.g5jq7q
title: Occurrence Download

description: A dataset containing 57216 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schiffornis turdina (Wied-Neuwied, 1831)"
 ]
}

 The dataset includes 57216 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014900-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjqdtw
title: Occurrence Download

description: A dataset containing 2624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bruchus rufimanus Boheman, 1833",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2624 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014909-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7nkx5
title: Occurrence Download

description: A dataset containing 104356531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "SpeciesKey is not null",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 {
 "not" : {
 "License" : [
 "is one of (CC-BY-NC 4.0)"
 ]
 }
 },
 {
 "and" : [
 "Year is greater than 2005",
 "Year is less than or equal to 2010"
 ]
 }
 ]
}

 The dataset includes 104356531 records from 2001 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014898-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.839q7a
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-7.071 42.288,-6.166 42.288,-6.166 42.939,-7.071 42.939,-7.071 42.288))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Acer negundo L."
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012754-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5dpy8
title: Occurrence Download

description: A dataset containing 137880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.40691 59.35423,13.40731 59.35388,13.40922 59.35228,13.4113 59.35073,13.41353 59.34924,13.41591 59.34782,13.41843 59.34645,13.42109 59.34516,13.42387 59.34394,13.42678 59.3428,13.4298 59.34173,13.43292 59.34075,13.43614 59.33985,13.43945 59.33903,13.44283 59.33831,13.44629 59.33768,13.4498 59.33714,13.45336 59.33669,13.45697 59.33634,13.46061 59.33609,13.46426 59.33593,13.46793 59.33588,13.4716 59.33592,13.47526 59.33605,13.4789 59.33629,13.48251 59.33662,13.48608 59.33704,13.48961 59.33756,13.49308 59.33818,13.49647 59.33888,13.49716 59.33904,13.50033 59.33979,13.50343 59.34063,13.50644 59.34155,13.50936 59.34254,13.51218 59.3436,13.5149 59.34474,13.51749 59.34594,13.51999 59.34715,13.52244 59.3484,13.52476 59.34971,13.52696 59.35108,13.52903 59.3525,13.53095 59.35398,13.53273 59.35549,13.53436 59.35706,13.53536 59.35808,13.53614 59.35889,13.53734 59.36019,13.53874 59.36181,13.53899 59.36215,13.5398 59.36294,13.54153 59.36492,13.54302 59.36695,13.54328 59.36734,13.54437 59.36913,13.54528 59.37094,13.54601 59.37278,13.54654 59.37463,13.54689 59.37649,13.54704 59.37837,13.547 59.38024,13.54678 59.38211,13.54636 59.38397,13.54575 59.38582,13.54495 59.38765,13.54397 59.38945,13.5428 59.39123,13.54145 59.39297,13.53993 59.39467,13.53824 59.39634,13.53637 59.39795,13.53435 59.39951,13.53217 59.40102,13.52983 59.40246,13.52735 59.40385,13.52474 59.40516,13.52199 59.40641,13.51912 59.40757,13.51613 59.40866,13.51303 59.40967,13.50984 59.4106,13.50655 59.41144,13.50319 59.41219,13.49975 59.41285,13.49625 59.41342,13.49269 59.41389,13.48909 59.41427,13.48546 59.41455,13.4818 59.41474,13.47813 59.41483,13.47446 59.41482,13.47079 59.41471,13.46714 59.41451,13.46351 59.4142,13.45992 59.41381,13.45637 59.41331,13.45288 59.41273,13.44946 59.41205,13.4486 59.41187,13.44543 59.41114,13.44234 59.41034,13.43932 59.40946,13.43639 59.4085,13.43356 59.40747,13.43084 59.40638,13.42822 59.40521,13.42802 59.40512,13.42746 59.40484,13.42568 59.404,13.42319 59.40269,13.42083 59.40132,13.41861 59.3999,13.41654 59.39841,13.41629 59.39823,13.41421 59.39656,13.41231 59.39483,13.41188 59.39441,13.41051 59.39301,13.41035 59.39282,13.40887 59.39173,13.40695 59.39013,13.40519 59.38847,13.4036 59.38678,13.40219 59.38504,13.40096 59.38327,13.39991 59.38147,13.39905 59.37964,13.39838 59.3778,13.3979 59.37593,13.39761 59.37406,13.39751 59.37218,13.39761 59.3703,13.39789 59.36843,13.39837 59.36657,13.39904 59.36472,13.3999 59.36289,13.40094 59.36109,13.40217 59.35932,13.40357 59.35758,13.40515 59.35589,13.40691 59.35423))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 137880 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012707-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uhfdb7
title: Occurrence Download

description: A dataset containing 49789 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "TaxonKey is Fabales"
 ]
}

 The dataset includes 49789 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001823-170822121629195/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvahjm
title: Occurrence Download

description: A dataset containing 1919 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Plocamium dilatatum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1919 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0187870-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4n4xz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Helcogramma chica)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0187902-230224095556074/datasets/export for details.