cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29233544.v1
title: Development and validation of a nomogram for predicting the occurrence of acute kidney injury in patients with pulmonary embolism

description: Pulmonary embolism (PE) is associated with acute kidney injury (AKI). This study aimed to develop a nomogram to predict AKI in PE patients admitted to the intensive care unit. The data of patients with PE were obtained from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) and the eICU Collaborative Research Database, with AKI as the primary outcome. Patients from MIMIC-IV were divided into training (80%) and internal validation (20%) cohorts, and external validation was performed using the eICU. Independent risk factors for AKI were identified using univariable logistic regression and stepwise logistic regression. A nomogram was constructed based on the stepwise analysis. Its performance was evaluated using the receiver operating characteristic (ROC) area under the curve (AUC), calibration plots, decision curve analysis (DCA), and sensitivity analysis, and compared to the simplified acute physiology score (SAPS) II score. Six independent risk factors for AKI were identified. The nomogram’s AUC was 0.717 in the training cohort, 0.758 in the internal validation cohort, and 0.889 in the external validation cohort. The AUC of the nomogram was higher than the SAPS II score (<i>p</i> &lt; 0.05). Calibration plots showed good consistency, and DCA confirmed its clinical applicability. Sensitivity analysis confirmed its stability and reliability. The nomogram might help clinicians identify PE patients at risk for developing AKI and increase attention to these patients. It was externally validated in the eICU cohort and demonstrated good predictive ability.
DOI: 10.6084/m9.figshare.27377180
title: A Comparison of Pediatric Prehospital Opioid Encounters and Social Vulnerability

description: This study explores the relationship between socioeconomic factors and pediatric opioid-related emergencies requiring naloxone administration in the prehospital setting, an escalating public health concern. A retrospective analysis of the National Emergency Medical Services Information System (NEMSIS) database was conducted, examining data from pediatric opioid-related EMS activations between January 2018 and December 2021. The Social Vulnerability Index (SVI) was used to gauge each incident’s socioeconomic context and assess correlations between SVI scores and the likelihood of opioid-related activations and naloxone interventions. A total of 7,789 pediatric opiate-related EMS activations were identified. Lower socioeconomic status (SES) areas (higher SVI scores) exhibited a decreased rate of opioid-related activations compared to lower SVI-scored areas but an increased frequency of naloxone administration. The analysis demonstrated that as socioeconomic status (SES) improves, the likelihood of opioid-related activations increases significantly supported by a significant negative linear trend (Estimate = −0.2971, SE = 0.1172, z = −2.54, <i>p</i> = 0.0112. On the other hand, naloxone administration was more frequently required in lower SES areas, suggesting an increased emergency response in these (Estimate = 0.05806, SE = 0.2403, <i>z</i> = 0.24, <i>p</i> = 0.8091). The analysis highlights a statistically significant correlation between the SES of an area and pediatric opioid-related EMS activations, yet an inverse correlation with the likelihood of naloxone administration. These findings demonstrate that in lower socioeconomic areas, the total number of opiate-related EMS activations is lower; however, naloxone was more likely to be deployed during those activations. This underscores the need for further research to understand the disparities in opioid crisis management across different socioeconomic landscapes.
DOI: 10.6084/m9.figshare.27377180.v1
title: A Comparison of Pediatric Prehospital Opioid Encounters and Social Vulnerability

description: This study explores the relationship between socioeconomic factors and pediatric opioid-related emergencies requiring naloxone administration in the prehospital setting, an escalating public health concern. A retrospective analysis of the National Emergency Medical Services Information System (NEMSIS) database was conducted, examining data from pediatric opioid-related EMS activations between January 2018 and December 2021. The Social Vulnerability Index (SVI) was used to gauge each incident’s socioeconomic context and assess correlations between SVI scores and the likelihood of opioid-related activations and naloxone interventions. A total of 7,789 pediatric opiate-related EMS activations were identified. Lower socioeconomic status (SES) areas (higher SVI scores) exhibited a decreased rate of opioid-related activations compared to lower SVI-scored areas but an increased frequency of naloxone administration. The analysis demonstrated that as socioeconomic status (SES) improves, the likelihood of opioid-related activations increases significantly supported by a significant negative linear trend (Estimate = −0.2971, SE = 0.1172, z = −2.54, <i>p</i> = 0.0112. On the other hand, naloxone administration was more frequently required in lower SES areas, suggesting an increased emergency response in these (Estimate = 0.05806, SE = 0.2403, <i>z</i> = 0.24, <i>p</i> = 0.8091). The analysis highlights a statistically significant correlation between the SES of an area and pediatric opioid-related EMS activations, yet an inverse correlation with the likelihood of naloxone administration. These findings demonstrate that in lower socioeconomic areas, the total number of opiate-related EMS activations is lower; however, naloxone was more likely to be deployed during those activations. This underscores the need for further research to understand the disparities in opioid crisis management across different socioeconomic landscapes.
DOI: 10.15468/dl.kk4ytp
title: Occurrence Download

description: A dataset containing 33367 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Proyecto fortalecimiento y desarrollo de instrumentos para el manejo, prevención y control del Castor (Castor canadensis), una especie exótica invasora en la Patagonia Chilena."
 ]
}

 The dataset includes 33367 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019776-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15591679
title: DISTINCTIVE AND COMMON FEATURES IN EXAMPLES OF ORAL FOLK ART
DOI: 10.5281/zenodo.15591680
title: DISTINCTIVE AND COMMON FEATURES IN EXAMPLES OF ORAL FOLK ART
DOI: 10.5281/zenodo.15591695
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250604j Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250604j Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15591696
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250604j Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250604j Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.14166990
title: The data set to paper: Ka-band Cloud Radar Meteorological Echo Identification Dataset

description: Ka-band 云雷达气象回波识别数据集
DOI: 10.5281/zenodo.14166989
title: The data set to paper: Ka-band Cloud Radar Meteorological Echo Dataset with Complex Weather Coverage: Baseline Models for Deep Learning Applications

description: The data set to paper: Ka-band Cloud Radar Meteorological Echo Dataset with Complex Weather Coverage: Baseline Models for Deep Learning Applications.

Data discription is included.
DOI: 10.5281/zenodo.15591468
title: The data set to paper: Ka-band Cloud Radar Meteorological Echo Dataset with Complex Weather Coverage: Baseline Models for Deep Learning Applications

description: The data set to paper: Ka-band Cloud Radar Meteorological Echo Dataset with Complex Weather Coverage: Baseline Models for Deep Learning Applications.

Data discription is included.
DOI: 10.15468/dl.msxtnq
title: Occurrence Download

description: A dataset containing 293661225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "Year 2000-2025"
 ]
}

 The dataset includes 293661225 records from 14823 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019702-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14328399
title: Dataset for "Redox-innocent scandium (3+) as sole catalyst in visible light photooxidations"

description: This research breaks new ground by demonstrating the inaugural use of Sc(OTf)3 as a visible light photocatalyst capable of direct and mild aerobic oxidative C-H functionalisation of aromatic substrates by oxidation of the benzylic position and direct cyanation of the aromatic ring. This dataset includes all information about prepared compounds, techniques used for characterization of prepared compound, NMR, spectral and other used methods.
DOI: 10.15468/dl.kvtkgb
title: Occurrence Download

description: A dataset containing 567 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is RBINS Rotifera collection"
 ]
}

 The dataset includes 567 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022469-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67snz7
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aechmea eurycorymbus Harms"
 ]
}

 The dataset includes 67 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022471-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fj3ur3
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((119.065 27.478,119.251 27.478,119.251 27.596,119.065 27.596,119.065 27.478))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 29 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022470-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4899f
title: Occurrence Download

description: A dataset containing 615100 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'FR'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2025)
 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 NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
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"

 The dataset's 615100 records were derived from 23793 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022266-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k6en7w
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Juglans nigra",
 "Country is Romania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 47 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000300-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9jpvvmznrv
title: Orthogonal Experiment Test Data and Results Analysis

description: Orthogonal test design table is a standardized table made on the basis of practical experience and theoretical understanding, this experiment uses L25 (56) type Tanioka orthogonal test table, 25 groups of tests are expected to be conducted. the orthogonal test examined the effects of moisture content (factor A), proportion (factor B), and heating temperature (factor C) on the particle density of molded particles to find the optimal combination of molding parameters, so as to obtain the best molding results.
DOI: 10.17632/9jpvvmznrv.1
title: Orthogonal Experiment Test Data and Results Analysis

description: Orthogonal test design table is a standardized table made on the basis of practical experience and theoretical understanding, this experiment uses L25 (56) type Tanioka orthogonal test table, 25 groups of tests are expected to be conducted. the orthogonal test examined the effects of moisture content (factor A), proportion (factor B), and heating temperature (factor C) on the particle density of molded particles to find the optimal combination of molding parameters, so as to obtain the best molding results.
DOI: 10.17632/6brkvh3f97
title: Integrative proteo-transcriptomic characterization of advanced fibrosis in chronic liver disease across etiologies

description: Olink Data of 40 Healthy Individuals and 144 Patients with Chronic Liver Disease, including Chroniv Viral Hepatitis, Alcohol-related Liver disease, and Metabolic Dysfunction-associated Steatotic Liver Disease.

Inclusion and exclusion criteria:
The study included adults aged 18-80 years who can provide informed consent and have a confirmed diagnosis of chronic liver disease through clinical evaluation, imaging, and histopathological findings. General exclusion criteria encompassed the presence of acute liver disease and other chronic liver diseases, such as Budd-Chiari syndrome, Wilson’s disease, autoimmune hepatitis, and drug-induced liver disease. Additional exclusion criteria include concurrent severe systemic illnesses, such as advanced cardiovascular disease, sepsis, or any malignancy other than HCC. Participants who were pregnant or lactating and had a history of organ transplantation were also excluded. For patients with MASLD and ARLD, diagnosis-specific inclusion and exclusion criteria are determined following guidelines outlined by Rinella et. al., 2023 2. For those with CVH, inclusion criteria involve a diagnosis of chronic viral hepatitis confirmed by serological tests. Patients diagnosed with hepatocellular carcinoma (HCC) met the general background etiology criteria of MASLD, ARLD, or CVH and had histologically or radiologically confirmed HCC.
DOI: 10.17632/6brkvh3f97.2
title: Integrative proteo-transcriptomic characterization of advanced fibrosis in chronic liver disease across etiologies

description: Olink Data of 40 Healthy Individuals and 144 Patients with Chronic Liver Disease, including Chroniv Viral Hepatitis, Alcohol-related Liver disease, and Metabolic Dysfunction-associated Steatotic Liver Disease.

Inclusion and exclusion criteria:
The study included adults aged 18-80 years who can provide informed consent and have a confirmed diagnosis of chronic liver disease through clinical evaluation, imaging, and histopathological findings. General exclusion criteria encompassed the presence of acute liver disease and other chronic liver diseases, such as Budd-Chiari syndrome, Wilson’s disease, autoimmune hepatitis, and drug-induced liver disease. Additional exclusion criteria include concurrent severe systemic illnesses, such as advanced cardiovascular disease, sepsis, or any malignancy other than HCC. Participants who were pregnant or lactating and had a history of organ transplantation were also excluded. For patients with MASLD and ARLD, diagnosis-specific inclusion and exclusion criteria are determined following guidelines outlined by Rinella et. al., 2023 2. For those with CVH, inclusion criteria involve a diagnosis of chronic viral hepatitis confirmed by serological tests. Patients diagnosed with hepatocellular carcinoma (HCC) met the general background etiology criteria of MASLD, ARLD, or CVH and had histologically or radiologically confirmed HCC.
DOI: 10.17632/ff2p5s5dzn
title: Transcriptome and proteome of LINC01871-deficient human CD4+ T cells

description: CD4+ T cells were isolated from human umbilical cord blood samples collected from Turku University Hospital from full-term normal delivery. Mononuclear cells were isolated using Ficoll density gradient centrifugation. CD4+ cells were then enriched using bead-based positive isolation (Dynal CD4 Positive Isolation Kit; Invitrogen, Cat. no. 11331D). LINC01871 was silenced using two LNAs targeting different regions of the gene (LNA1: 5´-TTCGGCCTTTGGTAGT-3´; LNA2: 5´-ACAGATCGTCCACGGC-3´) or non-targeting LNA (NT) (5´-AACACGTCTATACGC-3´). Cells were transfected with LNAs as described before (Andrabi et al., 2024). Briefly, 4 million cells, resuspended in 100 µl OptiMEM medium (Gibco by Life Technologies, Cat. no. 31985-047), were transfected with 300 pmol of LNA) using Amaxa nucleofector system (Nucleofector 2C / U-014 program) (Lonza). After nucleofection, cells were rested in RPMI medium, supplemented with pen/strep, 2 mM L-glutamine and 10% FCS, for 24 h at 37°C followed by their activation, as described above. LINC01871-deficient T cells were activated for 48 h, harvested and reactivated for 30 minutes, followed by RNA-seq and MS analyses. 
Cells were activated using plate-bound α-CD3 (3.75 μg/ml; Beckman Coulter, Cat. no. IM1304) and soluble α-CD28 (1 μg/ml; Beckman Coulter, Cat. no. IM1376) in RPMI 1640 medium (Sigma-Aldrich) supplemented with L-glutamine (2 mM, Sigma-Aldrich), antibiotics (50 U/ml penicillin plus 50 μg/ml streptomycin; Sigma-Aldrich) and 10% FCS. All cultures were maintained at 37°C in a humidified atmosphere of 5% (v/v) CO2 incubator. 
The RNA-seq and mass spectrometry (MS) data were of good quality. The principal component analysis (PCA) revealed low variability within biological replicates and high variability between the sample groups NT, LNA1 and LNA2 across the two main principal components (Fig. 2I). Hundreds of genes were DE upon LINC01871 silencing both in RNAseq and MS data (FDR&lt;0.05), but the effect sizes were small (Table S2-3).
DOI: 10.17632/ff2p5s5dzn.1
title: Transcriptome and proteome of LINC01871-deficient human CD4+ T cells

description: CD4+ T cells were isolated from human umbilical cord blood samples collected from Turku University Hospital from full-term normal delivery. Mononuclear cells were isolated using Ficoll density gradient centrifugation. CD4+ cells were then enriched using bead-based positive isolation (Dynal CD4 Positive Isolation Kit; Invitrogen, Cat. no. 11331D). LINC01871 was silenced using two LNAs targeting different regions of the gene (LNA1: 5´-TTCGGCCTTTGGTAGT-3´; LNA2: 5´-ACAGATCGTCCACGGC-3´) or non-targeting LNA (NT) (5´-AACACGTCTATACGC-3´). Cells were transfected with LNAs as described before (Andrabi et al., 2024). Briefly, 4 million cells, resuspended in 100 µl OptiMEM medium (Gibco by Life Technologies, Cat. no. 31985-047), were transfected with 300 pmol of LNA) using Amaxa nucleofector system (Nucleofector 2C / U-014 program) (Lonza). After nucleofection, cells were rested in RPMI medium, supplemented with pen/strep, 2 mM L-glutamine and 10% FCS, for 24 h at 37°C followed by their activation, as described above. LINC01871-deficient T cells were activated for 48 h, harvested and reactivated for 30 minutes, followed by RNA-seq and MS analyses. 
Cells were activated using plate-bound α-CD3 (3.75 μg/ml; Beckman Coulter, Cat. no. IM1304) and soluble α-CD28 (1 μg/ml; Beckman Coulter, Cat. no. IM1376) in RPMI 1640 medium (Sigma-Aldrich) supplemented with L-glutamine (2 mM, Sigma-Aldrich), antibiotics (50 U/ml penicillin plus 50 μg/ml streptomycin; Sigma-Aldrich) and 10% FCS. All cultures were maintained at 37°C in a humidified atmosphere of 5% (v/v) CO2 incubator. 
The RNA-seq and mass spectrometry (MS) data were of good quality. The principal component analysis (PCA) revealed low variability within biological replicates and high variability between the sample groups NT, LNA1 and LNA2 across the two main principal components (Fig. 2I). Hundreds of genes were DE upon LINC01871 silencing both in RNAseq and MS data (FDR&lt;0.05), but the effect sizes were small (Table S2-3).
DOI: 10.5281/zenodo.16976613
title: COVID-19-Hospitalisierungen in Deutschland

description: Im Datensatz 'COVID-19-Hospitalisierungen' werden die aktuellen Zahlen der nach den Vorgaben des Infektionsschutzgesetzes - IfSG - erfassten hospitalisierten COVID-19-Fälle bereitgestellt.
Um den Trend der Anzahl von Hospitalisierungen und der 7-Tage-Hospitalisierungsinzidenz besser bewerten zu können, wird die berichtete Hospitalisierungsinzidenz um eine Schätzung der zu erwartenden Anzahl an verzögert berichteten Hospitalisierungen ergänzt. Neben den Daten der gemeldeten COVID-19-Hospitalisierungen auf Bundes- und Länderebene wird daher ein Nowcasting der Anzahl hospitalisierter Fälle und der 7-Tage-Hospitalisierungsinzidenz auf Bundesebene durchgeführt. Ziel ist die Schätzung der Anzahl von hospitalisierten COVID-19-Fällen mit Meldedatum innerhalb der sieben vorhergehenden Tage - inklusive der noch nicht an das RKI berichteten Hospitalisierungen. Aufbauend auf dem Nowcasting wird eine Schätzung der adjustierten 7-Tage-Hospitalisierungsinzidenz durchgeführt.