cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34740/kaggle/dsv/10119112
title: World Weather Repository ( Daily Updating )
DOI: 10.15468/dl.44u8c3
title: Occurrence Download

description: A dataset containing 68245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citharichthys spilopterus Günther, 1862",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 68245 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022466-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jkd9xx
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Etelis carbunculus Cuvier, 1828",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 45 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022467-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cgazgu
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cheilopogon pinnatibarbatus (Bennett, 1831)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 43 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022468-241126133413365/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.27979862
title: Supplementary_IrishStoatSurvey.pdf

description: Supplementary Information for Paper entitled: Mapping the Irish Stoat: Insights from a Two-Year Citizen Science Survey.
DOI: 10.6084/m9.figshare.27979862.v2
title: Supplementary_IrishStoatSurvey.pdf

description: Supplementary Information for Paper entitled: Mapping the Irish Stoat: Insights from a Two-Year Citizen Science Survey.
DOI: 10.6084/m9.figshare.27979862.v3
title: Supplementary_IrishStoatSurvey.pdf

description: Supplementary Information for Paper entitled: Mapping the Irish Stoat: Insights from a Two-Year Citizen Science Survey.
DOI: 10.15468/dl.8ua434
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arapaima gigas (Cuvier, 1829)"
 ]
}

 The dataset includes 140 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022469-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xaa2mv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cheilopogon melanocercus (Ogilby, 1885)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022470-241126133413365/datasets/export for details.
DOI: 10.15468/dl.3mg3rt
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cosmocampus albirostris (Kaup, 1856)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 149 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022471-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14288281
title: Early diagnosis and monitoring of adaptive immune response in a cohort of mild mpox patients during the 2022 wave

description: Our study wants to describe the kinetics of serological and adaptive immune responses in mpox patients. Methods. Fourteen patients with a laboratory-confirmed mpox were tested at different time points after symptoms onset. An immunofluorescence assay was performed to evaluate seroconversion kinetics of specific IgA, IgM, and IgG. Moreover, the characterization of the adaptive immunological profile of T- and B-cells was performed. Results. Antibody kinetics revealed faster and more effective seroconversion of specific IgA than IgM. Moreover, we detected an increase of Active B memory cells and CD8+ cells in the early phases of infection, and a reduction of CD4+ T- in mpox patients with respect to controls; with a different CD8 active T-cells profile in HIV+ compared to HIV- subjects. Moreover, we found the presence of higher levels of Treg cells in HIV+ patients in the early phase of infection. Conclusion: Our data highlighted the relevance of specific IgA testing early after SO, suggesting a possible role as a marker in early diagnosis, especially in close contact subjects. Furthermore, after symptoms’ onset we observed a different maturation state of effector cells in HIV+ patients that, together with high Treg levels, may lead us to better understand the role of MPXV-HIV co-infection in disease progression.
DOI: 10.5281/zenodo.14288282
title: Early diagnosis and monitoring of adaptive immune response in a cohort of mild mpox patients during the 2022 wave

description: Our study wants to describe the kinetics of serological and adaptive immune responses in mpox patients. Methods. Fourteen patients with a laboratory-confirmed mpox were tested at different time points after symptoms onset. An immunofluorescence assay was performed to evaluate seroconversion kinetics of specific IgA, IgM, and IgG. Moreover, the characterization of the adaptive immunological profile of T- and B-cells was performed. Results. Antibody kinetics revealed faster and more effective seroconversion of specific IgA than IgM. Moreover, we detected an increase of Active B memory cells and CD8+ cells in the early phases of infection, and a reduction of CD4+ T- in mpox patients with respect to controls; with a different CD8 active T-cells profile in HIV+ compared to HIV- subjects. Moreover, we found the presence of higher levels of Treg cells in HIV+ patients in the early phase of infection. Conclusion: Our data highlighted the relevance of specific IgA testing early after SO, suggesting a possible role as a marker in early diagnosis, especially in close contact subjects. Furthermore, after symptoms’ onset we observed a different maturation state of effector cells in HIV+ patients that, together with high Treg levels, may lead us to better understand the role of MPXV-HIV co-infection in disease progression.
DOI: 10.15468/dl.fvqjkk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cheilopogon japonicus (Franz, 1910)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022472-241126133413365/datasets/export for details.
DOI: 10.48597/d8wa-x2ub
title: Nitrogen oxides at TMNT09 Vielsalm

description: Measurement of Nitrogen oxides at TMNT09 Vielsalm
DOI: 10.48597/4wbd-xvp5
title: Measurement of Nitrogen oxides at TMNT09 Vielsalm

description: Measurement of Nitrogen oxides at TMNT09 Vielsalm
DOI: 10.57745/4pide7
title: Figure11_XRD_BathC.tab

description: :unav
DOI: 10.57745/z0ew7p
title: experimental_details.txt
DOI: 10.57745/3zn5iw
title: Figure2b_Length.tab
DOI: 10.57745/7cr6fu
title: Figure1b_FFT.jpg
DOI: 10.57745/fcztgt
title: Figure1a_SEM.jpg
DOI: 10.57745/fvbgql
title: Figure1b_TEM.jpg
DOI: 10.57745/hppadk
title: Figure3_ XRD_BathA.tab
DOI: 10.57745/pnb8zt
title: Figure11_XRD_BathD.tab

description: :unav
DOI: 10.57745/stitwd
title: Figure1b_TEM_zone.jpg
DOI: 10.57745/ttwyk3
title: Figure4_EDXmapping_BathA_Cu.jpg
DOI: 10.57745/vx69mg
title: Figure1b_TEM_raw.dm4
DOI: 10.57745/yc7css
title: Figure2a_Diameter.tab
DOI: 10.57745/bkagoy
title: Figure4_EDXmapping_BathB_Te.jpg
DOI: 10.57745/csftqt
title: Figure4_EDXmapping_BathA_Te.jpg
DOI: 10.57745/f68hyh
title: Figure5c_EDXmapping_Te.jpg
DOI: 10.57745/gxsdt9
title: Figure4_EDXmapping_BathB_Cu.jpg
DOI: 10.57745/khg98c
title: Figure5a_STEM.jpg
DOI: 10.57745/kpdyjq
title: Figure6_FFT.jpg
DOI: 10.57745/pefdyr
title: Figure4_SEM_BathB.jpg
DOI: 10.57745/rlqr22
title: Figure5d_EDXmapping_Cu.jpg
DOI: 10.57745/rxomdr
title: Figure5b_atomic_percent.tab
DOI: 10.57745/zfsmv0
title: Figure4_SEM_BathA.jpg
DOI: 10.57745/4lxuz2
title: Figure7c_STEM_HAADF_raw.dm4
DOI: 10.57745/93ebfy
title: Figure8a_HRTEM_zone.jpg
DOI: 10.57745/bqjoe3
title: Figure8a_SAED.jpg
DOI: 10.57745/csqfxx
title: Figure8a_SAED_raw.dm4
DOI: 10.57745/dkpzva
title: Figure8b_FFT_blue_zone_defect_free.jpg
DOI: 10.57745/e85wia
title: Figure6_HRTEM.jpg
DOI: 10.57745/esv7jn
title: Figure7c_STEM_HAADF.jpg
DOI: 10.57745/h2wpu7
title: Figure7c_STEM_HAADF_zone.jpg
DOI: 10.57745/r58vip
title: Figure7d_Line_profile_analysis.tab
DOI: 10.57745/rwxnow
title: Figure8a_HRTEM.jpg
DOI: 10.57745/tjtq4l
title: Figure6_HRTEM_raw.dm4
DOI: 10.57745/uuzh9w
title: Figure8a_HRTEM_raw.dm4
DOI: 10.57745/jgnopj
title: Figure9_EELS.tab
DOI: 10.57745/jpivyh
title: Figure3_11_XRD_Pt_substrate.tab

description: :unav
DOI: 10.57745/kjg15p
title: Figure_SI1_HRTEM_raw.dm4
DOI: 10.57745/mojtg2
title: Figure8b_HRTEM_zones.jpg
DOI: 10.57745/pzw5ui
title: Figure_SI1_SAED_raw.dm4
DOI: 10.57745/ryub8a
title: Figure8b_FFT_orange_zone_defect.jpg
DOI: 10.57745/vk3lnx
title: Figure3_11_XRD_Te.tab

description: :unav
DOI: 10.57745/y1k98c
title: Figure_SI1_HRTEM.jpg
DOI: 10.57745/ykxdqs
title: Figure3_11_XRD_BathB.tab

description: :unav
DOI: 10.57745/yuguho
title: Figure8b_HRTEM.jpg
DOI: 10.57745/zdcrzv
title: Figure_SI1_SAED.jpg
DOI: 10.6084/m9.figshare.27203802
title: The interdisciplinary approach to investigate bona fide agent(s) in flavonoids or alkaloids in treating HCC

description: Currently, the treatment of hepatocellular carcinoma (HCC) is yet to be determined, alternatively, flavonoids or alkaloids from nature have been considered as significant mediators against HCC. In the scenario, we pioneered the most significant agent(s) in either flavonoid(s) or alkaloid(s) against HCC with cheminformatics, bioinformatics, computer screening tools and quantum chemistry concept. In prospect, the intent was to provide the theoretical scaffold in the myriad natural organic molecules. The cheminformatics (natural product activity & species source database (NPASS), SwissADME, PubChem, Similarity Ensemble Approach (SEA) and SwissTargetPrediction (STP)), bioinformatics (DisGeNET, OMIM and STRING) were employed to underpin promising therapeutic components. The protein–protein interaction (PPI) network to identify the relationships between each target and a bubble chart to elucidate key signalling pathway(s) was constructed via STRING database. Ultimately, computer screening tools (PyMOL and AutoDockTools 1.5.6) and quantum chemistry (GaussView 6 and Gaussian) concept were adopted to decrypt the key molecule(s), target(s) and key mechanism(s). The most significant target was AKT1 in PPI network, AKT1 – isorhamnetin, MCL1 – ochrindole D and PIM1 – heyneanine hydroxyindolenine were the most stable conformers to antagonize JAK–STAT signalling pathway. This study provides scientific manifestation to facilitate the clinical test despite the enormous complexity of herbal medicine, and the devised platform for further clarifying the bioactive(s) and mechanism(s) against HCC.
DOI: 10.6084/m9.figshare.27203802.v1
title: The interdisciplinary approach to investigate bona fide agent(s) in flavonoids or alkaloids in treating HCC

description: Currently, the treatment of hepatocellular carcinoma (HCC) is yet to be determined, alternatively, flavonoids or alkaloids from nature have been considered as significant mediators against HCC. In the scenario, we pioneered the most significant agent(s) in either flavonoid(s) or alkaloid(s) against HCC with cheminformatics, bioinformatics, computer screening tools and quantum chemistry concept. In prospect, the intent was to provide the theoretical scaffold in the myriad natural organic molecules. The cheminformatics (natural product activity & species source database (NPASS), SwissADME, PubChem, Similarity Ensemble Approach (SEA) and SwissTargetPrediction (STP)), bioinformatics (DisGeNET, OMIM and STRING) were employed to underpin promising therapeutic components. The protein–protein interaction (PPI) network to identify the relationships between each target and a bubble chart to elucidate key signalling pathway(s) was constructed via STRING database. Ultimately, computer screening tools (PyMOL and AutoDockTools 1.5.6) and quantum chemistry (GaussView 6 and Gaussian) concept were adopted to decrypt the key molecule(s), target(s) and key mechanism(s). The most significant target was AKT1 in PPI network, AKT1 – isorhamnetin, MCL1 – ochrindole D and PIM1 – heyneanine hydroxyindolenine were the most stable conformers to antagonize JAK–STAT signalling pathway. This study provides scientific manifestation to facilitate the clinical test despite the enormous complexity of herbal medicine, and the devised platform for further clarifying the bioactive(s) and mechanism(s) against HCC.
DOI: 10.57745/cncksy
title: Figure10_XPS_Te.tab
DOI: 10.57745/djvvyp
title: experimental_details.txt
DOI: 10.57745/itb92c
title: Figure10_XPS_Cu.tab
DOI: 10.57745/nm4bvk
title: Table1.tab
DOI: 10.6084/m9.figshare.25299415
title: The identification of metabolites from gut microbiota in coronary heart disease via network pharmacology

description: Although the gut microbial metabolites exhibit potential effects on coronary heart disease (CHD), the underlying mechanism remains unclear. In this study, the active gut microbial metabolites acting on CHD and their potential mechanisms of action were explored through a network pharmacological approach. We collected a total of 208 metabolites from the gutMgene database and 726 overlapping targets from the similarity ensemble approach (SEA) and SwissTargetPrediction (STP) database, and ultimately identified 610 targets relevant to CHD. In conjunction with the gutMGene database, we identified 12 key targets. The targets of exogenous substances were removed, and 10 core targets involved in CHD were eventually retained. The microbiota–metabolites–targets–signalling pathways network analysis revealed that C-type lectin receptor signalling pathway, Lachnospiraceae, Escherichia, mitogen-activated protein kinase 1, prostaglandin-endoperoxidase synthase 2, phenylacetylglutamine and alcoholic acid are notable components of CHD and play important roles in the development of CHD. The results of molecular docking experiments demonstrated that AKT1-glycocholic acid and PTGS2-phenylacetylglutamine complexes may act on C-type lectin receptor signalling pathways. In this study, the key substances and potential mechanisms of gut microbial metabolites were analysed via network pharmacological methods, and a scientific basis and comprehensive idea were provided for the effects of gut microbial metabolites on CHD.
DOI: 10.6084/m9.figshare.25299415.v1
title: The identification of metabolites from gut microbiota in coronary heart disease via network pharmacology

description: Although the gut microbial metabolites exhibit potential effects on coronary heart disease (CHD), the underlying mechanism remains unclear. In this study, the active gut microbial metabolites acting on CHD and their potential mechanisms of action were explored through a network pharmacological approach. We collected a total of 208 metabolites from the gutMgene database and 726 overlapping targets from the similarity ensemble approach (SEA) and SwissTargetPrediction (STP) database, and ultimately identified 610 targets relevant to CHD. In conjunction with the gutMGene database, we identified 12 key targets. The targets of exogenous substances were removed, and 10 core targets involved in CHD were eventually retained. The microbiota–metabolites–targets–signalling pathways network analysis revealed that C-type lectin receptor signalling pathway, Lachnospiraceae, Escherichia, mitogen-activated protein kinase 1, prostaglandin-endoperoxidase synthase 2, phenylacetylglutamine and alcoholic acid are notable components of CHD and play important roles in the development of CHD. The results of molecular docking experiments demonstrated that AKT1-glycocholic acid and PTGS2-phenylacetylglutamine complexes may act on C-type lectin receptor signalling pathways. In this study, the key substances and potential mechanisms of gut microbial metabolites were analysed via network pharmacological methods, and a scientific basis and comprehensive idea were provided for the effects of gut microbial metabolites on CHD.
DOI: 10.6084/m9.figshare.25802086
title: The synchronized feature of <i>Saururus chinensis</i> and gut microbiota against T2DM, NAFLD, obesity and hypertension via integrated pharmacology

description: Type 2 diabetes mellitus (T2DM), nonalcoholic fatty liver disease (NAFLD), obesity (OB) and hypertension (HT) are categorized as metabolic disorders (MDs), which develop independently without distinct borders. Herein, we examined the gut microbiota (GM) and <i>Saururus chinensis</i> (SC) to confirm their therapeutic effects via integrated pharmacology. The overlapping targets from the four diseases were determined to be key protein coding genes. The protein–protein interaction (PPI) networks, and the SC, GM, signalling pathway, target and metabolite (SGSTM) networks were analysed via RPackage. Additionally, molecular docking tests (MDTs) and density functional theory (DFT) analysis were conducted to determine the affinity and stability of the conformer(s). TNF was the main target in the PPI analysis, and equol derived from <i>Lactobacillus paracasei JS1</i> was the most effective agent for the formation of the TNF complex. The SC agonism (PPAR signalling pathway), and antagonism (neurotrophin signalling pathway) by SC were identified as agonistic bioactives (aromadendrane, stigmasta-5,22-dien-3-ol, 3,6,6-trimethyl-3,4,5,7,8,9-hexahydro-1H-2-benzoxepine, 4α-5α-epoxycholestane and kinic acid), and antagonistic bioactives (STK734327 and piclamilast), respectively, via MDT. Finally, STK734327-MAPK1 was the most favourable conformer according to DFT. Overall, the seven bioactives from SC and equol that can be produced by <i>Lactobacillus paracasei JS1</i> can exert synergistic effects on these four diseases.
DOI: 10.6084/m9.figshare.25802086.v1
title: The synchronized feature of <i>Saururus chinensis</i> and gut microbiota against T2DM, NAFLD, obesity and hypertension via integrated pharmacology

description: Type 2 diabetes mellitus (T2DM), nonalcoholic fatty liver disease (NAFLD), obesity (OB) and hypertension (HT) are categorized as metabolic disorders (MDs), which develop independently without distinct borders. Herein, we examined the gut microbiota (GM) and <i>Saururus chinensis</i> (SC) to confirm their therapeutic effects via integrated pharmacology. The overlapping targets from the four diseases were determined to be key protein coding genes. The protein–protein interaction (PPI) networks, and the SC, GM, signalling pathway, target and metabolite (SGSTM) networks were analysed via RPackage. Additionally, molecular docking tests (MDTs) and density functional theory (DFT) analysis were conducted to determine the affinity and stability of the conformer(s). TNF was the main target in the PPI analysis, and equol derived from <i>Lactobacillus paracasei JS1</i> was the most effective agent for the formation of the TNF complex. The SC agonism (PPAR signalling pathway), and antagonism (neurotrophin signalling pathway) by SC were identified as agonistic bioactives (aromadendrane, stigmasta-5,22-dien-3-ol, 3,6,6-trimethyl-3,4,5,7,8,9-hexahydro-1H-2-benzoxepine, 4α-5α-epoxycholestane and kinic acid), and antagonistic bioactives (STK734327 and piclamilast), respectively, via MDT. Finally, STK734327-MAPK1 was the most favourable conformer according to DFT. Overall, the seven bioactives from SC and equol that can be produced by <i>Lactobacillus paracasei JS1</i> can exert synergistic effects on these four diseases.
DOI: 10.6084/m9.figshare.26869947
title: High-throughput single-cell screening of viable hybridomas and patient-derived antibody-secreting cells using punchable microwells

description: Monoclonal antibodies (mAbs) hold significant potential as therapeutic agents and are invaluable tools in biomedical research. However, the lack of efficient high-throughput screening methods for single antibody-secreting cells (ASCs) has limited the diversity of available antibodies. Here, we introduce a novel, integrated workflow employing self-seeding microwells and an automated microscope-puncher system for the swift, high-throughput screening and isolation of single ASCs. The system allows for the individual screening and isolation of up to 6,400 cells within approximately one day, with the opportunity for parallelization and efficient upscaling. We successfully applied this workflow to both hybridomas and human patient-derived B cells, enabling subsequent clonal expansion or antibody sequence analysis through an optimized, single-cell nested reverse transcription-polymerase chain reaction (RT-PCR) procedure. By providing a time-efficient and more streamlined single ASC screening and isolation process, our workflow holds promise for driving forward progress in mAb development.
DOI: 10.6084/m9.figshare.26869947.v1
title: High-throughput single-cell screening of viable hybridomas and patient-derived antibody-secreting cells using punchable microwells

description: Monoclonal antibodies (mAbs) hold significant potential as therapeutic agents and are invaluable tools in biomedical research. However, the lack of efficient high-throughput screening methods for single antibody-secreting cells (ASCs) has limited the diversity of available antibodies. Here, we introduce a novel, integrated workflow employing self-seeding microwells and an automated microscope-puncher system for the swift, high-throughput screening and isolation of single ASCs. The system allows for the individual screening and isolation of up to 6,400 cells within approximately one day, with the opportunity for parallelization and efficient upscaling. We successfully applied this workflow to both hybridomas and human patient-derived B cells, enabling subsequent clonal expansion or antibody sequence analysis through an optimized, single-cell nested reverse transcription-polymerase chain reaction (RT-PCR) procedure. By providing a time-efficient and more streamlined single ASC screening and isolation process, our workflow holds promise for driving forward progress in mAb development.