cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vg33gv
title: Occurrence Download

description: A dataset containing 19455 records in GBIF matching the query:
SELECT
 '26' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -33.06103686093294
 AND decimalLatitude &lt;= -28.773895969281842
 AND decimalLongitude &gt;= 113.67301865001613
 AND decimalLongitude &lt;= 122.45456395408395
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 19455 records were derived from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003123-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vd5he9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.104 2.07218, 100.033692 2.066612, 99.96511599999999 2.050044, 99.899962 2.022884, 99.83983600000001 1.985803, 99.78621800000001 1.939713, 99.74043 1.88575, 99.703597 1.825244, 99.676626 1.759685, 99.66018 1.690687, 99.654664 1.61995, 99.660211 1.549215, 99.67668399999999 1.480224, 99.703677 1.414676, 99.74052399999999 1.354183, 99.78631799999999 1.300236, 99.83993100000001 1.254161, 99.900043 1.217093, 99.965174 1.189945, 100.033722 1.173384, 100.104 1.167818, 100.174278 1.173384, 100.242826 1.189945, 100.307957 1.217093, 100.368069 1.254161, 100.421682 1.300236, 100.467476 1.354183, 100.504323 1.414676, 100.531316 1.480224, 100.547789 1.549215, 100.553336 1.61995, 100.54782 1.690687, 100.531374 1.759685, 100.504403 1.825244, 100.46757 1.88575, 100.421782 1.939713, 100.368164 1.985803, 100.308038 2.022884, 100.242884 2.050044, 100.174308 2.066612, 100.104 2.07218))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003133-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18330085
title: Cost associated to formwork simulations
DOI: 10.5281/zenodo.18330084
title: Cost associated to formwork simulations
DOI: 10.6084/m9.figshare.31113083
title: Smartphone-Enabled Cough Detection in Severely Exacerbated COPD: An Exploratory Pilot Study

description: Chronic obstructive pulmonary disease (COPD) shows rising incidence worldwide. Progressive decline in lung function is characteristic for the disease and results in various signature COPD symptoms. A significant part of COPD-associated morbidity and mortality is due to acute exacerbations, which often require hospital usage, thus disproportionately impacting healthcare expenses. Novel digital health technologies allowing remote patient monitoring are desirable to improve COPD management by tailoring treatment- and follow-up strategies. We here tested the feasibility and biomarker potential of smartphone-enabled cough monitoring during and after AECOPD in hospitalized patients. The study was designed as a single-center, prospective, longitudinal, observational cohort study and enrolled 23 subjects. A contact-free, near real-time, smartphone-enabled cough detection system was used for automated cough detection and quantification based on audio recordings. Cough counts were correlated to various clinical and biochemical markers. Cough levels were highest at study enrollment (approx. 15 coughs per hour) and gradually declined over time toward recovery (to below 5 coughs per hour) (incidence rate ratio (IRR): 0.97 [0.95–0.98], <i>p</i> &lt; 0.001). There was a high degree of intra- and inter-patient variation of cough frequency and evolution. In addition, cough counts underlay significant diurnal regulation, with higher counts during daytime. Cough counts were inversely associated with oxygen saturation (IRR: 0.9 [0.87–0.95], <i>p</i> &lt; 0.001) and correlated positively with body temperature (IRR: 2.00 [1.47–2.73], <i>p</i> &lt; 0.001). Automated, contact-free, smartphone-enabled cough detection was feasible in COPD patients hospitalized for AECOPD. Cough counts declined over time and were associated with relevant clinical and biochemical markers. Our approach enables telemonitoring of AECOPD in near real-time and warrants further development to possibly establish cough count as an early digital biomarker for emerging AECOPD, allowing swift intervention and associated cost reductions.
DOI: 10.6084/m9.figshare.31113083.v1
title: Smartphone-Enabled Cough Detection in Severely Exacerbated COPD: An Exploratory Pilot Study

description: Chronic obstructive pulmonary disease (COPD) shows rising incidence worldwide. Progressive decline in lung function is characteristic for the disease and results in various signature COPD symptoms. A significant part of COPD-associated morbidity and mortality is due to acute exacerbations, which often require hospital usage, thus disproportionately impacting healthcare expenses. Novel digital health technologies allowing remote patient monitoring are desirable to improve COPD management by tailoring treatment- and follow-up strategies. We here tested the feasibility and biomarker potential of smartphone-enabled cough monitoring during and after AECOPD in hospitalized patients. The study was designed as a single-center, prospective, longitudinal, observational cohort study and enrolled 23 subjects. A contact-free, near real-time, smartphone-enabled cough detection system was used for automated cough detection and quantification based on audio recordings. Cough counts were correlated to various clinical and biochemical markers. Cough levels were highest at study enrollment (approx. 15 coughs per hour) and gradually declined over time toward recovery (to below 5 coughs per hour) (incidence rate ratio (IRR): 0.97 [0.95–0.98], <i>p</i> &lt; 0.001). There was a high degree of intra- and inter-patient variation of cough frequency and evolution. In addition, cough counts underlay significant diurnal regulation, with higher counts during daytime. Cough counts were inversely associated with oxygen saturation (IRR: 0.9 [0.87–0.95], <i>p</i> &lt; 0.001) and correlated positively with body temperature (IRR: 2.00 [1.47–2.73], <i>p</i> &lt; 0.001). Automated, contact-free, smartphone-enabled cough detection was feasible in COPD patients hospitalized for AECOPD. Cough counts declined over time and were associated with relevant clinical and biochemical markers. Our approach enables telemonitoring of AECOPD in near real-time and warrants further development to possibly establish cough count as an early digital biomarker for emerging AECOPD, allowing swift intervention and associated cost reductions.
DOI: 10.6084/m9.figshare.31118076
title: MicroRNA (miR)-489-3p contributes to lipopolysaccharide-induced HK-2 cell injury by targeting RIPK4 and inactivating the β-catenin signaling

description: Acute kidney injury (AKI) involves a sudden loss of renal function and is associated with high mortality. MicroRNA (miR)-489-3p may serve as a critical molecule in AKI according to previous studies. The study aimed to explore the functional roles of miR-489-3p in AKI and underlying mechanisms. An <i>in vitro</i> model of sepsis-induced cell injury was established by treating human proximal tubular epithelial cells (HK-2) with lipopolysaccharide (LPS). Reverse transcription quantitative polymerase chain reaction (RT-qPCR) was performed to examine expression levels of kidney injury molecule-1 (KIM-1), miR-489-3p, and downstream mRNAs. After silencing miR-489-3p, receptor-interacting protein kinase 4 (RIPK4), or β-catenin signaling, HK-2 cell viability was measured using cell counting kit-8 assays. Apoptosis was assessed by TdT-mediated dUTP nick-end labeling (TUNEL) assay and flow cytometry analysis. Western blot analysis was performed to examine protein levels of apoptotic markers, RIPK4, and β-catenin. Luciferase reporter assays were conducted to explore the interaction between miR-489-3p and RIPK4. Immunofluorescence staining was performed to evaluate the distribution of β-catenin in LPS-stimulated HK-2 cells. MiR-489-3p was significantly upregulated in LPS-treated HK-2 cells. Its inhibition attenuated the pro-apoptotic effects induced by LPS, increased cell viability, and reduced KIM-1 level. MiR-489-3p directly targeted 3′ untranslated region of RIPK4 and suppressed its expression. Knockdown of RIPK4 rescued the suppressive effect of miR-489-3p inhibition on cell apoptosis. Moreover, miR-489-3p was found to inactivate the β-catenin signaling by reducing RIPK4 expression. IWR-1 treatment similarly rescued the suppressive effect of miR-489-3p inhibition on cell apoptosis. In conclusion, miR-489-3p promotes LPS-induced HK-2 cell damage by targeting RIPK4 and inactivating β-catenin signaling.
DOI: 10.6084/m9.figshare.31118076.v1
title: MicroRNA (miR)-489-3p contributes to lipopolysaccharide-induced HK-2 cell injury by targeting RIPK4 and inactivating the β-catenin signaling

description: Acute kidney injury (AKI) involves a sudden loss of renal function and is associated with high mortality. MicroRNA (miR)-489-3p may serve as a critical molecule in AKI according to previous studies. The study aimed to explore the functional roles of miR-489-3p in AKI and underlying mechanisms. An <i>in vitro</i> model of sepsis-induced cell injury was established by treating human proximal tubular epithelial cells (HK-2) with lipopolysaccharide (LPS). Reverse transcription quantitative polymerase chain reaction (RT-qPCR) was performed to examine expression levels of kidney injury molecule-1 (KIM-1), miR-489-3p, and downstream mRNAs. After silencing miR-489-3p, receptor-interacting protein kinase 4 (RIPK4), or β-catenin signaling, HK-2 cell viability was measured using cell counting kit-8 assays. Apoptosis was assessed by TdT-mediated dUTP nick-end labeling (TUNEL) assay and flow cytometry analysis. Western blot analysis was performed to examine protein levels of apoptotic markers, RIPK4, and β-catenin. Luciferase reporter assays were conducted to explore the interaction between miR-489-3p and RIPK4. Immunofluorescence staining was performed to evaluate the distribution of β-catenin in LPS-stimulated HK-2 cells. MiR-489-3p was significantly upregulated in LPS-treated HK-2 cells. Its inhibition attenuated the pro-apoptotic effects induced by LPS, increased cell viability, and reduced KIM-1 level. MiR-489-3p directly targeted 3′ untranslated region of RIPK4 and suppressed its expression. Knockdown of RIPK4 rescued the suppressive effect of miR-489-3p inhibition on cell apoptosis. Moreover, miR-489-3p was found to inactivate the β-catenin signaling by reducing RIPK4 expression. IWR-1 treatment similarly rescued the suppressive effect of miR-489-3p inhibition on cell apoptosis. In conclusion, miR-489-3p promotes LPS-induced HK-2 cell damage by targeting RIPK4 and inactivating β-catenin signaling.
DOI: 10.15468/dl.rszy5t
title: Occurrence Download

description: A dataset containing 86374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-119.60 37.70,-119.55 37.70,-119.55 37.75,-119.60 37.75,-119.60 37.70))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 86374 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003103-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5vqz4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.416 2.09418, 100.345691 2.088611, 100.277114 2.072043, 100.211959 2.044884, 100.151832 2.007803, 100.098214 1.961713, 100.052425 1.90775, 100.015592 1.847244, 99.98862099999999 1.781684, 99.97217499999999 1.712686, 99.96665900000001 1.641949, 99.972207 1.571214, 99.98868 1.502224, 100.015673 1.436675, 100.052521 1.376183, 100.098315 1.322236, 100.151928 1.276161, 100.212041 1.239093, 100.277173 1.211945, 100.345722 1.195384, 100.416 1.189818, 100.486278 1.195384, 100.554827 1.211945, 100.619959 1.239093, 100.680072 1.276161, 100.733685 1.322236, 100.779479 1.376183, 100.816327 1.436675, 100.84332 1.502224, 100.859793 1.571214, 100.865341 1.641949, 100.859825 1.712686, 100.843379 1.781684, 100.816408 1.847244, 100.779575 1.90775, 100.733786 1.961713, 100.680168 2.007803, 100.620041 2.044884, 100.554886 2.072043, 100.486309 2.088611, 100.416 2.09418))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003134-260120142942310/datasets/export for details.
DOI: 10.15468/dl.jsunpc
title: Occurrence Download

description: A dataset containing 3345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL.2_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Didelphis marsupialis"
 ]
}

 The dataset includes 3345 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003136-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18316872
title: Dataset of numeric result figures for "Analysis of natural transformations for regularizing nearly singular and hypersingular boundary integrals"

description: Dataset purpose and scope. This deposit provides the numerical data underlying figures and subfigures from the associated manuscript. It contains CSV files exported for plotting/analysis, enabling reproduction of the manuscript figures and inspection of additional results.

Contents and organization. The deposit includes 332 CSV files under fig_csv/. 98 CSV files correspond directly to manuscript figures/subfigures and are indexed in the table below. The remaining 234 CSV files are additional results, fully documented in figures_mapping.csv. 

Directory structure:





fig_csv/SD_analysis/





case_1_canonical_element/




case_2_curved_element/






fig_csv/stress_analysis/





case_3_square_plate/




case_4_inf_plate_with_hole/ 





Figure-to-file mapping. The README provides a table mapping each manuscript figure/subfigure to the corresponding CSV path. For a complete manifest of all CSVs (including additional results not shown in the manuscript), see figures_mapping.csv. 

Usage. Download and unzip the archive. Use the figure mapping table in the README (or figures_mapping.csv) to locate the CSV file(s) associated with a specific manuscript figure/subfigure. The CSV files can be read with standard tools (e.g., Python/pandas, MATLAB, R, Excel) for plotting and analysis.
DOI: 10.5281/zenodo.18316873
title: Dataset of numeric result figures for "Analysis of natural transformations for regularizing nearly singular and hypersingular boundary integrals"

description: Dataset purpose and scope. This deposit provides the numerical data underlying figures and subfigures from the associated manuscript. It contains CSV files exported for plotting/analysis, enabling reproduction of the manuscript figures and inspection of additional results.

Contents and organization. The deposit includes 332 CSV files under fig_csv/. 98 CSV files correspond directly to manuscript figures/subfigures and are indexed in the table below. The remaining 234 CSV files are additional results, fully documented in figures_mapping.csv. 

Directory structure:





fig_csv/SD_analysis/





case_1_canonical_element/




case_2_curved_element/






fig_csv/stress_analysis/





case_3_square_plate/




case_4_inf_plate_with_hole/ 





Figure-to-file mapping. The README provides a table mapping each manuscript figure/subfigure to the corresponding CSV path. For a complete manifest of all CSVs (including additional results not shown in the manuscript), see figures_mapping.csv. 

Usage. Download and unzip the archive. Use the figure mapping table in the README (or figures_mapping.csv) to locate the CSV file(s) associated with a specific manuscript figure/subfigure. The CSV files can be read with standard tools (e.g., Python/pandas, MATLAB, R, Excel) for plotting and analysis.
DOI: 10.15468/dl.4p855w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.644 2.10118, 101.57369 2.095611, 101.505113 2.079043, 101.439958 2.051884, 101.379831 2.014802, 101.326213 1.968713, 101.280423 1.91475, 101.24359 1.854243, 101.216619 1.788684, 101.200174 1.719686, 101.194658 1.648949, 101.200205 1.578214, 101.216679 1.509223, 101.243672 1.443675, 101.28052 1.383183, 101.326314 1.329235, 101.379928 1.283161, 101.44004 1.246093, 101.505173 1.218945, 101.573722 1.202384, 101.644 1.196818, 101.714278 1.202384, 101.782827 1.218945, 101.84796 1.246093, 101.908072 1.283161, 101.961686 1.329235, 102.00748 1.383183, 102.044328 1.443675, 102.071321 1.509223, 102.087795 1.578214, 102.093342 1.648949, 102.087826 1.719686, 102.071381 1.788684, 102.04441 1.854243, 102.007577 1.91475, 101.961787 1.968713, 101.908169 2.014802, 101.848042 2.051884, 101.782887 2.079043, 101.71431 2.095611, 101.644 2.10118))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003137-260120142942310/datasets/export for details.
DOI: 10.6084/m9.figshare.31116360
title: Association between dental flossing frequency and oral microbiome in U.S. adults

description: The oral microbiome is vital for health, yet population-based evidence on how self-reported flossing relates to microbial communities remains limited. This study examined the association between self-reported dental flossing frequency and oral microbiome diversity in a nationally representative sample of U.S. adults. This cross-sectional analysis included 4,772 adults aged 30-69 from NHANES 2009–2012. Flossing frequency was categorized as non-users (0 days/week), some flossing (1-6 days/week), and daily users (7 days/week). Oral microbiome composition was profiled using 16S rRNA sequencing. α-diversity was calculated using Observed amplicon sequence variants (ASVs), Shannon, Inverse Simpson, and Faith’s Phylogenetic Diversity (PD); β-diversity using Bray–Curtis and UniFrac distances. Survey-weighted linear regression and PERMANOVA were used with covariate adjustment. Participants included, non-users (32%), some flossing (38%), and daily users (30%). A dose–response relationship was observed between flossing frequency and reduced microbial richness and phylogenetic diversity. Compared with non-users, daily users exhibited significantly lower richness (Observed ASVs: β = −11.46, 95% CI: −15.62 to −7.29) and phylogenetic diversity (Faith’s PD: β = −0.88, 95% CI: −1.20 to −0.56). Daily flossing was associated with a modest reduction in Shannon diversity, with no significant association for the Inverse Simpson index. Inverse associations were more pronounced among younger and lower-income adults, but not among current smokers. β-diversity differed significantly across groups, although effect sizes were minimal (Bray–Curtis <i>R</i><sup>2</sup> = 0.059%; unweighted UniFrac <i>R</i><sup>2</sup> = 0.090%). Frequent flossing was associated with reduced microbial richness and phylogenetic diversity, potentially indicating a favorable shift toward a healthier microbial community. In a nationally representative sample of U.S. adults, a higher frequency of dental flossing, particularly daily use, is associated in a dose-dependent manner with lower oral microbiome richness and phylogenetic diversity.The inverse association between flossing frequency and microbial diversity is stronger among younger adults and individuals with lower socioeconomic status, but is not observed among current smokers.Despite small effect sizes, flossing frequency is associated with statistically significant shifts in overall oral microbial community structure (β-diversity). In a nationally representative sample of U.S. adults, a higher frequency of dental flossing, particularly daily use, is associated in a dose-dependent manner with lower oral microbiome richness and phylogenetic diversity. The inverse association between flossing frequency and microbial diversity is stronger among younger adults and individuals with lower socioeconomic status, but is not observed among current smokers. Despite small effect sizes, flossing frequency is associated with statistically significant shifts in overall oral microbial community structure (β-diversity).
DOI: 10.15468/dl.qb3kwk
title: Occurrence Download

description: A dataset containing 429218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Platanthera Rich."
 ]
}

 The dataset includes 429218 records from 1717 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013627-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.exdcer
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Herwigia kreffti (Nielsen & Larsen, 1970)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((33.4566 -25.7816,35.1352 -25.1504,26.9648 -25.1504,26.9648 -34.0826,27.209 -34.0314,28.1962 -33.4486,30.3395 -31.6744,31.7308 -29.6968,32.7846 -28.846,33.3559 -27.1274,33.4566 -25.7816))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009767-250525065834625/datasets/export for details.