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

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parasmittina egyptiaca",
 "Country is Egypt",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039149-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20350/digitalcsic/17590
title: Heterogeneous Earth’s mantle drilled at an embryonic ocean [Dataset]
DOI: 10.20350/digitalcsic/17603
title: Supplementary material Modulation of Biofilm Growth by Shear and Fluctuations in Turbulent Environments [Dataset]

description: The protocols, methodological details, derivation of the theoretical model, and numerical specifics of the MATLAB code referenced in the main document are thoroughly presented and fully explained in this Supplementary Material
DOI: 10.25625/hjuegm
title: Berufsfeld Eventmanagement – Interviewdaten

description: Berufsfeldstudie mit 22 qualitativen, leitfadengestützten Interviews. Im Mittelpunkt stehen die alltäglichen Aufgaben und Kompetenzen, die Berufstätige im Feld Eventmanagement benötigen. Die Daten geben Einblick in die subjektiven Sichtweisen der Akteure. Unterschiedliche Typen von Organisationen wurden berücksichtigt. Die Daten haben einen regionalen Bezug zum norddeutschen Raum. Occupational field study with 22 qualitative, guideline-based interviews. The focus is on the everyday tasks and competences required by professionals in the field of event management. The data provides an insight into the subjective views of those involved. Different types of organisations were taken into account. The data has a regional reference to northern Germany.
DOI: 10.20350/digitalcsic/17591
title: Dataset associated with Project PID2020-114355GB-I00 PALYTECH, concerning Objective 2.1. Potentiometric titrations of palygorskite suspensions
DOI: 10.15468/dl.g4eezb
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parasmittina egyptiaca",
 "Country is Lebanon",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039150-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20350/digitalcsic/17604
title: Thyroid Hormones Deficiency Worsens Outcomes in Vaccinia Virus Infection

description: [Description of methods used for collection/generation of data] Excell.
description: [Methods for processing the data] graphpad prism 8.
DOI: 10.20350/digitalcsic/17592
title: GLOSSAQUA: A global dataset of size spectra across aquatic ecosystems [Dataset]
DOI: 10.20350/digitalcsic/17605
title: Higher temperatures shorten inter-nesting periods in olive ridley turtles [Dataset]
DOI: 10.20350/digitalcsic/17593
title: Temporally-scheduled ROV-based monitoring to detect behavioural rhythms of deep-sea megafauna [Dataset]
DOI: 10.6084/m9.figshare.26789491
title: Considerations for practical use of tree-based scan statistics for signal detection using electronic healthcare data: a case study with insulin glargine

description: Hypothesis-free signal detection (HFSD) methods such as tree-based scan statistics (TBSS) applied to longitudinal electronic healthcare data (EHD) are increasingly used in safety monitoring. However, challenges may arise in interpreting HFSD results alongside results from disproportionality analysis of spontaneous reporting. Using the anti-diabetes drug insulin glargine (Lantus®) we apply two different tree-based scan designs using TreeScan™ software on retrospective EHD and compare the results to one another as well as to results from a disproportionality analysis using SRD. The self-controlled tree temporal scan method produced the larger number of alerts relative to propensity-score matched approach; however, far fewer alerts were observed when analyses were limited to EHD in inpatient/emergency room settings only. Very few reference adverse events were observed using TBSS methods on EHD relative to disproportionality methods in SRD. Differences in detected alerts between TBSS methods and between TBSS and disproportionality analysis of SRD are likely attributable to differences in data, comparator, and study design. Our results suggest that HFDS methods like TBSS applied to EHD may complement more traditional approaches such as disproportionality analysis of SRD to provide a more complete picture of product safety in the post-approval setting.
DOI: 10.6084/m9.figshare.26789491.v1
title: Considerations for practical use of tree-based scan statistics for signal detection using electronic healthcare data: a case study with insulin glargine

description: Hypothesis-free signal detection (HFSD) methods such as tree-based scan statistics (TBSS) applied to longitudinal electronic healthcare data (EHD) are increasingly used in safety monitoring. However, challenges may arise in interpreting HFSD results alongside results from disproportionality analysis of spontaneous reporting. Using the anti-diabetes drug insulin glargine (Lantus®) we apply two different tree-based scan designs using TreeScan™ software on retrospective EHD and compare the results to one another as well as to results from a disproportionality analysis using SRD. The self-controlled tree temporal scan method produced the larger number of alerts relative to propensity-score matched approach; however, far fewer alerts were observed when analyses were limited to EHD in inpatient/emergency room settings only. Very few reference adverse events were observed using TBSS methods on EHD relative to disproportionality methods in SRD. Differences in detected alerts between TBSS methods and between TBSS and disproportionality analysis of SRD are likely attributable to differences in data, comparator, and study design. Our results suggest that HFDS methods like TBSS applied to EHD may complement more traditional approaches such as disproportionality analysis of SRD to provide a more complete picture of product safety in the post-approval setting.
DOI: 10.20350/digitalcsic/17606
title: Shining disco: shedding light into the systematics of the family Discodorididae (Gastropoda: Nudibranchia) [Dataset]
DOI: 10.6084/m9.figshare.27001947
title: Toxicity profiles associated with EGFR-TKIs combined with angiogenesis inhibitors in non-small cell lung cancer: an epidemiological surveillance analysis of the FDA adverse event reporting system

description: Ongoing studies are evaluating the efficacy and toxicity profiles of combining epidermal growth factor receptor inhibitors (EGFR-TKIs) with antiangiogenic agents in non-small cell lung cancer (NSCLC). However, the complete toxicity profiles remain elusive. This study conducted an extensive pharmacovigilance analysis utilizing the FDA Adverse Event Reporting System database. The analysis focused on identifying and characterizing adverse events (AEs) associated with the concurrent use of EGFR-TKIs and antiangiogenic inhibitors in patients with NSCLC. The study identified significant occurrences of AEs linked to the combination therapy, particularly impacting general disorders, skin and subcutaneous tissue conditions, and vascular disorders. Frequently reported AEs included rash, diarrhea, fatigue, nausea, decreased appetite, and anemia. Notably, the combination of EGFR-TKIs with antiangiogenic inhibitors resulted in an increased incidence of AEs across multiple organ systems compared to EGFR-TKIs alone, with some adverse effects, such as anemia, arrhythmia, and ulcerative keratitis, persisting beyond one year in a subset of patients. The combination of EGFR-TKIs and antiangiogenic inhibitors in NSCLC treatment presents a distinct and substantial AE profile, often with delayed onset. This finding underscores the necessity for rigorous and ongoing monitoring protocols to mitigate potential long-term adverse effects.
DOI: 10.6084/m9.figshare.27001947.v1
title: Toxicity profiles associated with EGFR-TKIs combined with angiogenesis inhibitors in non-small cell lung cancer: an epidemiological surveillance analysis of the FDA adverse event reporting system

description: Ongoing studies are evaluating the efficacy and toxicity profiles of combining epidermal growth factor receptor inhibitors (EGFR-TKIs) with antiangiogenic agents in non-small cell lung cancer (NSCLC). However, the complete toxicity profiles remain elusive. This study conducted an extensive pharmacovigilance analysis utilizing the FDA Adverse Event Reporting System database. The analysis focused on identifying and characterizing adverse events (AEs) associated with the concurrent use of EGFR-TKIs and antiangiogenic inhibitors in patients with NSCLC. The study identified significant occurrences of AEs linked to the combination therapy, particularly impacting general disorders, skin and subcutaneous tissue conditions, and vascular disorders. Frequently reported AEs included rash, diarrhea, fatigue, nausea, decreased appetite, and anemia. Notably, the combination of EGFR-TKIs with antiangiogenic inhibitors resulted in an increased incidence of AEs across multiple organ systems compared to EGFR-TKIs alone, with some adverse effects, such as anemia, arrhythmia, and ulcerative keratitis, persisting beyond one year in a subset of patients. The combination of EGFR-TKIs and antiangiogenic inhibitors in NSCLC treatment presents a distinct and substantial AE profile, often with delayed onset. This finding underscores the necessity for rigorous and ongoing monitoring protocols to mitigate potential long-term adverse effects.
DOI: 10.20350/digitalcsic/17594
title: Exploring the effects of decabromodiphenyl ether on meiofaunal communities: An experimental approach [Dataset]
DOI: 10.20350/digitalcsic/17595
title: Opportunistic Gulls Infected by Antibiotic-Resistant Bacteria Show Contrasting Movement Behaviour [Dataset]
DOI: 10.15468/dl.q5cbnh
title: Occurrence Download

description: A dataset containing 18114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Polystichum vestitum)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18114 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039151-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14824949
title: Dataset for the paper: Biomimetic pHEMA hydrogels as an alternative cartilage-like model material for biotribological evaluations
DOI: 10.5281/zenodo.14824950
title: Dataset for the paper: Biomimetic pHEMA hydrogels as an alternative cartilage-like model material for biotribological evaluations
DOI: 10.15468/dl.npwnjv
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enchelycore anatina",
 "Country is Cyprus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039153-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.th5h5y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enchelycore anatina",
 "Country is Malta",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039154-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.17248817
title: Extending digital biology: bacterial survival and morphological heterogeneity under antibiotic stress

description: The morphology of bacteria is intimately linked to their biological state: It is modified by antibiotic stress while also serving to survive the antibiotic. As such knowing which morphologies are selected by the surviving cells would help explain how individual cells are able to escape the antibiotic pressure. However associating morphological descriptors with quantitative measurements of cell survival remain elusive. Here we present a workflow to generate morphological signatures for the progeny of individual cells in the presence or absence of antibiotics. The workflow uses stationary microfluidic droplets, to encapsulate and grow bacteria, and confocal microscopy to image the contents of each droplet. Experiments are performed for 168 antibiotic conditions, corresponding to 82,000 droplet images. This massive data set is treated using a custom image analysis pipeline that enables rapid labeling of the morphologies within a subset of the images. The curated images are then used to train a neural network that assigns a positive or negative label, for each of these non-exclusive features, yielding a multidimensional signature of labels within each droplet. The results show the co-existence of different morphologies, even for the progeny of individual cells. The mix of morphologies changes as a function of antibiotic type and concentration, thus providing a way to distinguish antibiotics by their mode of action. By combining these morphological signatures with the digital detection of survival, this workflow can serve to understand the emergence of antibiotic resistance or to identify antimicrobial activity of unknown substances. This dataset contains the SQL database and imaging data needed to recreate the interactive web viewer. More details are available at the associated GitHub repository.
DOI: 10.6084/m9.figshare.30264175
title: Working genetic datasets

description: The item contain two working genetic dataset,Overall dataset including 1532 SNPsNeutral dataset including 1356 SNPs
DOI: 10.6084/m9.figshare.30264175.v1
title: Working genetic datasets

description: The item contain two working genetic dataset,Overall dataset including 1532 SNPsNeutral dataset including 1356 SNPs
DOI: 10.15468/dl.gvwupb
title: Occurrence Download

description: A dataset containing 17362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Populus balsamifera)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17362 records from 353 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039155-250920141307145/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.30264181
title: Digital twin of costume #9 – Segmented surface. <b>3D MODEL</b>

description: The 3D models present segmented surfaces of digital twins of historical costumes. The initial surfaces which were generated by using computer simulations in Clo software is shown on the left. The segments of the surfaces are shown on the right. Those represent areas controlled by parameters that are chosen subjectively divided into three categories, seams, edges and surfaces. The models aim to indicate uncertain areas of the garment resulting from limitations inherent to computer simulations.The authors thank prof. Victor Kuzmichev and the team from Ivanovo State Polytechnic University for providing data required for 3D modelling.The authors of the 3D models are Aleksei Moskvin and Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design):https://sutd-ru.academia.edu/AlekseiMoskvinhttps://independent.academia.edu/MariiaMoskvinaThe 3D model is available at: https://skfb.ly/psSC9
DOI: 10.6084/m9.figshare.30264181.v1
title: Digital twin of costume #9 – Segmented surface. <b>3D MODEL</b>

description: The 3D models present segmented surfaces of digital twins of historical costumes. The initial surfaces which were generated by using computer simulations in Clo software is shown on the left. The segments of the surfaces are shown on the right. Those represent areas controlled by parameters that are chosen subjectively divided into three categories, seams, edges and surfaces. The models aim to indicate uncertain areas of the garment resulting from limitations inherent to computer simulations.The authors thank prof. Victor Kuzmichev and the team from Ivanovo State Polytechnic University for providing data required for 3D modelling.The authors of the 3D models are Aleksei Moskvin and Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design):https://sutd-ru.academia.edu/AlekseiMoskvinhttps://independent.academia.edu/MariiaMoskvinaThe 3D model is available at: https://skfb.ly/psSC9
DOI: 10.13140/2.1.3408.5764
title: AF489732
DOI: 10.6084/m9.figshare.29804624
title: <b>Health Effects of Street Vended Fresh Cut Fruits: A Randomised Control Trial in Bangladesh</b>

description: <b>Health Effects of Street Vended Fresh Cut Fruits Data</b><b><i>Dataset Overview:</i></b>This dataset contains detailed clinical, demographic, microbiological, and experimental group information for participants who consumed guava fruits as part of a study investigating the potential association between fruit consumption, microbial contamination, and post-consumption symptoms.<b><i>Files Included:</i></b>This dataset comprises several Excel files from a study examining the association between guava fruit consumption, microbial contamination, and clinical symptoms. "Consumer only.xlsx" contains demographic and symptom data of guava consumers, while "Consumer with control.xlsx" includes both consumer and control participants, along with variables like fruit amount, CSCF, and HBN. "Control only.xlsx" provides baseline symptom data from non-consumers. "HAP__ANAP.xlsx" includes symptoms data in HAP (Having Acidity Problem) and ANAP (Apparently No Acidity Problem). "Microbial Contamination.xlsx" links symptoms with microbial findings, including TVC, <i>S. aureus</i>, and <i>E. coli</i>. Randomization details are recorded in "Randomized_300_participants.xlsx" and "Randomized_Participants_Reserved_Group.xlsx". Lastly, "TON.xlsx" tracks the time of symptom onset. Together, these files facilitate a comprehensive analysis of the impact of guava consumption and contamination on health outcomes.<b><i>Purpose of the Dataset:</i></b>The primary purpose of this dataset is to investigate the potential health impacts of consuming guava fruits sold by street vendors, with a specific focus on the relationship between microbial contamination and the onset of gastrointestinal and systemic symptoms. By integrating demographic data, symptom profiles, microbial test results, and randomized group assignments, the dataset enables comparative analysis between exposed (fruit consumers) and unexposed (controls) participants. It also allows for the assessment of temporal patterns in symptom onset and the identification of possible correlations between specific pathogens (e.g., <i>E. coli, S. aureus</i>) and clinical outcomes. Ultimately, the dataset supports public health evaluation of food safety risks associated with ready-to-eat fruits in urban environments.
DOI: 10.13140/2.1.3277.5049
title: AF489738
DOI: 10.15468/dl.s9a5yc
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atherinomorus forskalii",
 "Country is Egypt",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039158-250920141307145/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.29804624.v1
title: <b>Health Effects of Street Vended Fresh Cut Fruits: A Randomised Control Trial in Bangladesh</b>

description: <b>Health Effects of Street Vended Fresh Cut Fruits Data</b><b><i>Dataset Overview:</i></b>This dataset contains detailed clinical, demographic, microbiological, and experimental group information for participants who consumed guava fruits as part of a study investigating the potential association between fruit consumption, microbial contamination, and post-consumption symptoms.<b><i>Files Included:</i></b>This dataset comprises several Excel files from a study examining the association between guava fruit consumption, microbial contamination, and clinical symptoms. "Consumer only.xlsx" contains demographic and symptom data of guava consumers, while "Consumer with control.xlsx" includes both consumer and control participants, along with variables like fruit amount, CSCF, and HBN. "Control only.xlsx" provides baseline symptom data from non-consumers. "HAP__ANAP.xlsx" includes symptoms data in HAP (Having Acidity Problem) and ANAP (Apparently No Acidity Problem). "Microbial Contamination.xlsx" links symptoms with microbial findings, including TVC, <i>S. aureus</i>, and <i>E. coli</i>. Randomization details are recorded in "Randomized_300_participants.xlsx" and "Randomized_Participants_Reserved_Group.xlsx". Lastly, "TON.xlsx" tracks the time of symptom onset. Together, these files facilitate a comprehensive analysis of the impact of guava consumption and contamination on health outcomes.<b><i>Purpose of the Dataset:</i></b>The primary purpose of this dataset is to investigate the potential health impacts of consuming guava fruits sold by street vendors, with a specific focus on the relationship between microbial contamination and the onset of gastrointestinal and systemic symptoms. By integrating demographic data, symptom profiles, microbial test results, and randomized group assignments, the dataset enables comparative analysis between exposed (fruit consumers) and unexposed (controls) participants. It also allows for the assessment of temporal patterns in symptom onset and the identification of possible correlations between specific pathogens (e.g., <i>E. coli, S. aureus</i>) and clinical outcomes. Ultimately, the dataset supports public health evaluation of food safety risks associated with ready-to-eat fruits in urban environments.