cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7873424.v1
title: Supplementary Material for: Predicting Risk of Recurrent Acute Kidney Injury: A Systematic Review

description: <b><i>Background:</i></b> Although the epidemiology of acute kidney injury (AKI) has been well described, less is known about recurrent AKI (r-AKI). We undertook a systematic review to identify incidence, risk factors, and outcomes of r-AKI. <b><i>Methods:</i></b> MEDLINE, EMBASE, CINAHL, Cochrane, Web of Science were searched, from inception to December 2017, for quantitative studies on adults with AKI, where follow-up included ­reporting of r-AKI. Two reviewers independently identified studies and assessed study quality. <b><i>Summary:</i></b> From 2,824 citations, 10 cohort studies met inclusion criteria (total patients <i>n</i> = 538,667). There were 2 distinct set of studies; 4 studies assessed r-AKI within the same hospital admission (most were intensive care unit [ICU] patients) and 6 studies assessed postdischarge r-AKI. The median percentage of people developing r-AKI within the same hospital admission was 23.4% (IQR 20.3–27.2%) and postdischarge r-AKI was 31.3% (IQR 26.4–33.7%). A higher Acute Physiology and Chronic Health Evaluation score was associated with increased risk of r-AKI within the same hospital admission in ICU patients. Cardiovascular disease and AKI severity were associated with increased risk of postdischarge r-AKI. R-AKI (within same admission and postdischarge) was associated with worse survival. It was not possible to pool results due to methodological differences across studies, such as varying definitions for AKI and r-AKI, varying length of follow-up and effect measures. <b><i>Key messages:</i></b> More representative population-based studies with robust assessment of predictors and consensus definition of r-AKI are needed to identify risk factors and develop risk stratification tools to reduce recurrence and improve outcomes. <b><i>Systematic Review Registration:</i></b> CRD42017082668.
DOI: 10.11583/dtu.17430413.v1
title: Cape Verde Reference System v2.0

description: Author: Daniel Vázquez Pombo (dvapo@elektro.dtu.dk), ORCID: https://orcid.org/0000-0001-5664-9421 <br> -------------------------------------------------------------------------------<br> <br> The paper related to this dataset is currently under review. <br> Title: A Multi-Purpose Reference System Based on the Hybrid Power Grid of Cape Verde Submmited: Dec 2021 Accepted: 22 June 2022 Published: 22 June 2022 ------------------------------------------------------------------------------- The folder contains the one and only Cape Verde Reference System. The .zip file contains all the necessary data to model the Integrated Energy Systems of São Vicente and Santiago islands. <br> The vast majority of the data is provided by Electra and Cabeólica; the TSO and biggest renewable utility in Cape Verde respectively. <br> Do not hesitate on contacting me if you require additional data not yet included, or if you encounter any problem. This repository is suffering ongoing development and thus, the datasets are continuously expanding. Any sort of feedback is welcomed. <br> Remember to cite us and recommend it to your peers.<br> <br> Also my email is above if you would like to use the CVRS in your research and are looking for a collaborator. ------------------------------------------------------------------------------- <br> <br> The first version of this dataset is available here -&gt; https://doi.org/10.11583/DTU.13251524 <br> ------------------------------------------------------------------------------- <br> Until the paper gets published you can cite it as: <br> @misc{pombo2020CVRS2, author = "Daniel Vazquez Pombo", title = "{Cape Verde Reference System v2.0}", year = "2022", month = "Feb", url = "https://data.dtu.dk/articles/dataset/Cape_Verde_Reference_System_v2_0/17430413", doi = "10.11583/DTU.17430413.v1", note = {Retrieved from {DTU-Data}, \url{https://data.dtu.dk/articles/dataset/Cape_Verde_Reference_System_v2_0/17430413}, {DOI}: {10.11583/DTU.17430413.v1}}, }<br>
DOI: 10.17632/8w4pj76zvp
title: ESI. Mat. Lett. Bi2Se3 NPs

description: Nanoparticles of Bi2Se3 were prepared by hot injection method using bismuth nitrate and 1,3-dimethyl-1H-benzo[d]imidazole-2(3H)-selenone (a cyclic selenourea) synthesized in the laboratory as selenide source. This cyclic selenourea was produced with a yield of 67% by reacting elemental selenium powder with 1,3-dimethyl-1H-benzo[d]imidazol-3-ium iodide made from laboratory reagents. Different solvents: triethanolamine, oleylamine, and oleic acid used in the hot-injection processing affected the shape, composition, and crystallinity of the resulting Bi2Se3 nanoparticles. X-ray diffraction patterns confirm the rhombohedral crystalline structure of the material with an average crystallite size of 13 - 19 nm. FESEM reveals that the material was obtained as nanosheet. Optical diffuse reflectance spectrum of the material suggests an indirect bandgap of 0.78 eV for it
DOI: 10.6084/m9.figshare.15102177.v1
title: VL Cross sectional surveys

description: VL Cross sectional surveys
DOI: 10.6084/m9.figshare.19642233.v1
title: SourceData

description: SourceData for High entropy enhanced capacitive energy storage
DOI: 10.6084/m9.figshare.25244527.v1
title: The script and data for genomic prediction

description: The script, genotype and phenotype data for genomic prediction in Suhuai pigs.
DOI: 10.6084/m9.figshare.29190989.v1
title: <b>BDryFish:</b> An Image Dataset for Dried Fish Classification in Bangladesh

description: <b>BDryFish</b> is a curated image dataset comprising 5,874 high-quality images of dried fish from <b>22 distinct species</b> commonly found and consumed in Bangladesh. Each species is represented in two packaging formats — <b>Single</b> (individual fish) and <b>Bulk</b> (grouped fish) — to capture real-world variability in fish presentation. The dataset is designed to support <b>AI and computer vision research</b>, particularly in areas such as:Fish species classificationAgricultural and fisheries product recognitionFood packaging and supply chain monitoringObject detection and segmentation<b>Dataset Summary:</b><b>Total images:</b> 5,874<b>Single images:</b> 3,026<b>Bulk images:</b> 2,848<b>Fish categories:</b> 22 species × 2 formats (Single, Bulk)<b>Formats:</b> Standard image files (e.g., JPEG/PNG)<b>Fish Species Examples:</b>Banded GouramiBombay DuckHilsaGiant Largehead HairtailIndo-Pacific King MackerelSun-Dried Swamp BarbWhite Sardinella<br>...and more.<b>Use Cases:</b>This dataset is ideal for building <b>image classification models</b>, training <b>deep learning pipelines</b>, evaluating <b>transfer learning architectures</b> (e.g., MobileNet, EfficientNet), and conducting <b>domain-specific research</b> in fishery management and food safety.
DOI: 10.17632/fngtzjdy95
title: Support Document for "A Security and Privacy Scoring System for Contact Tracing Applications"

description: An analysis of the privacy of contact tracing apps was performed with the intent of creating a metric of privacy. Fifty-five applications were scrutinized through the lens of ten different privacy principles agreed by privacy and security experts. This is the entire analysis of the privacy of each of the 55 apps, and the security of the 5 representative apps against the 17 attacks.
DOI: 10.6084/m9.figshare.25826077.v1
title: Dataset for the analysis of Internet of Things implementation barriers in the cold supply chain: an integrated ISM-MICMAC and DEMATEL approach

description: Integrating Internet of Things (IoT) technology inside the cold supply chain can enhance transparency, efficiency, and quality, optimizing operating procedures and increasing productivity. The integration of IoT in this complicated setting is hindered by specific barriers that need a thorough examination. Prominent barriers to IoT implementation in the cold supply chain are identified using a two-stage model. After reviewing the available literature on the topic of IoT implementation, a total of 13 barriers were found. The survey data was cross-validated for quality, and Cronbach's alpha test was employed to ensure validity. This research applies the interpretative structural modeling technique in the first phase to identify the main barriers. Among those barriers, "regularity compliance" and "cold chain networks" are key drivers for IoT adoption strategies. MICMAC's driving and dependence power element categorization helps evaluate the barrier interactions. In the second phase of this research, a decision-making trial and evaluation laboratory methodology was employed to identify causal relationships between barriers and evaluate them according to their relative importance. Each cause is a potential drive, and if its efficiency can be enhanced, the system as a whole benefits. The research findings provide industry stakeholders, governments, and organizations with significant drivers of IoT adoption to overcome these barriers and optimize the utilization of IoT technology to improve the effectiveness and reliability of the cold supply chain.
DOI: 10.6084/m9.figshare.663652.v1
title: Raspberry Pi benchmark data

description: The response times of a photodiode to a white display. Stimulus presentation is controlled by OpenSesame. Ran on a Raspberry Pi. Methods and results are described in more detail in the linked post.
DOI: 10.17632/fdnydyj982
title: Data for: High-sensitivity-cardiac Troponin for Accelerated Diagnosis of Acute Myocardial Infarction: A Systematic Review and Meta-analysis

description: Supplementary files for the systemic review and meta-analysis
DOI: 10.17632/mcwv6thk8m
title: Epidemiological and Clinical Profile of Chronic Corneal Disorders: Insights from a Tertiary Care Hospital in Eastern India.

description: Research Hypothesis and Study Setting
This study was carried out at the Regional Institute of Ophthalmology (RIO), Indira Gandhi Institute of Medical Sciences (IGIMS), Patna, a tertiary care referral hospital in Eastern India. We hypothesized that chronic corneal disorders in this population are significantly influenced by lifestyle-related risk factors—such as tobacco and alcohol use—and systemic comorbidities, particularly in rural and agricultural communities.

Data Collection and Methodology
Data were prospectively collected from 332 patients diagnosed with chronic corneal disorders. Detailed clinical examinations were conducted, including visual acuity testing, slit-lamp evaluations, and history-taking for systemic illnesses and lifestyle habits. Visual acuity was categorized per WHO guidelines, and comorbidities like diabetes, hypertension, and substance use were carefully documented. Statistical analyses included multivariate logistic regression to identify independent risk factors.

Key Observations
The mean age of patients was 44 years, with a predominance of males (62.7%). The most common diagnoses were corneal opacity (43.1%) and infective keratitis (39.8%), of which fungal infections were the leading cause (61%). More than half of the patients reported decreased vision, and 43.1% had severe visual impairment at presentation.

Artificial tears (95.9%) and antibiotics (52.4%) were the most frequently administered treatments. Notably, tobacco use (29.5%) and alcohol consumption (8.1%) emerged as significant risk factors. Regression analysis showed that tobacco use was strongly associated with both infective keratitis (OR = 2.37) and corneal opacity (OR = 1.92). Diabetes was linked to poor treatment outcomes in fungal keratitis (OR = 3.14), while rural residence and agricultural work further increased the risk.

Interpretation and Implications
The findings highlight the multifactorial nature of chronic corneal diseases in our region, where preventable risk factors significantly affect outcomes. These insights can inform targeted awareness campaigns, guide clinical management, and support the development of region-specific public health strategies to reduce corneal blindness in rural and underserved populations.
DOI: 10.6084/m9.figshare.13270487.v1
title: Microaerobic digestion genome annotation

description: genome annotation
DOI: 10.6084/m9.figshare.21341556.v1
title: Supplementary Table 1- Supplementary Table 4 Pathogenic infection characteristics and risk factors for bovine respiratory disease complex based on the detection of lung pathogens in dead cattle in northeast China

description: Supplementary Table 1. List of primers used to detect infectious agents associated with BRDC. Supplementary Table 2. Information on the source of the lung tissue samples in the dead cattle with bovine respiratory diseases involved in this study. Supplementary Table 3. Background and detected pathogens for 160 samples with BRDC from 81 herds. Supplementary table 4. Information on the isolates of BoHV-1，BVDV，BPIV-3，and BRSV in this study and the reference strains from GenBank
DOI: 10.15468/dl.au7h2q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagamichthys schnakenbecki (Krefft, 1953)",
 "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 ((26.9648 28.8496,17.9648 28.8496,17.9648 19.8496,26.9648 19.8496,26.9648 28.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013139-250525065834625/datasets/export for details.
DOI: 10.17632/8jkmdxmfbd
title: Data for: Sustainability and Governance. Modelling boundary objects in environmental research

description: Data uploaded here includes: - the full database of the 7.358 documents composing our corpus (downloaded on August, the 1st, 2018, from Web of Science) - the phi matrix derived from our topic modelling algorithm, or topic-word matrix - the theta matrix derived from our topic modelling algorithm, or topic-document matrix
DOI: 10.17632/dpvv6n2g57
title: Determination of the pH of beverages consumed by Dental students using pH test strips and the Mettler Toledo SevenExcellence S470 multiparameter pH meter, and its relationship to salivary pH changes.

description: The present investigation was developed with the hypothesis that the Mettler Toledo SevenExcellence S470 multiparameter pH meter
is more accurate than the Hydrion pH test strips in the
measurement of the pH of beverages consumed by dental students at the Universidad
Nacional Pedro Henríquez Ureña. The null hypothesis established that both methods offer the
same level of precision.
The objective of the study was to determine the pH of the beverages most consumed by the
students, to analyze the accuracy of both methods and to evaluate the potential impact of these
beverages on oral health. The methodology was based on an observational, descriptive and
cross-sectional study. Three most commonly consumed beverages (coffee, juices and soft drinks) were selected by means of
a survey of preclinical and clinical students of the dental school. Thirty samples of each beverage were collected (totaling 90 samples) and their pH was measured with both
methods.
The results showed that soft drinks were the most acidic beverages, with an average pH
of 3.00 measured with test strips and 2.54 measured with the multiparameter. Juices presented
values of 5.00 (strips) and 4.72 (multiparameter), while coffee had a pH of 5.00 (strips) and
5.30 (multiparameter).

Statistical analysis, using the Mann-Whitney U test, showed no significant
differences between the two methods, leading to acceptance of the null hypothesis, concluding that the
test strips and the multiparameter offer comparable accuracy. This indicates that
test strips, in addition to being an accessible and low-cost alternative, can be used
reliably to measure pH in clinical and academic settings.
The data obtained confirm that soft drinks and juices are highly acidic, which
can favor the demineralization of tooth enamel and increase the risk of dental erosion.
In this sense, it is recommended to promote the reduction of the consumption of these beverages and to encourage
preventive habits such as rinsing the mouth with water after consumption to protect oral health
.
This study provides key information to guide educational actions and promote changes
in beverage consumption patterns among students, highlighting the importance of
pH monitoring as a preventive tool in dental practice.
DOI: 10.6084/m9.figshare.25507381.v1
title: Detection of concha bullosa using deep learning models in cone beam computerized tomography images-A feasibility study

description: dataset
DOI: 10.6084/m9.figshare.5287732.v1
title: ANI-1 data set: 20M DFT energies for non-equilibrium small molecules

description: Contains more than 20 million non-equilibrium conformations and density function theory (DFT) energies for small molecules. The molecules contain between 1 and 8 heavy atoms. The DFT calculations were carried out with the wb97x density functional with the 6-31g(d) basis set. Possible use cases include development of machine learned potentials.
DOI: 10.6084/m9.figshare.6086102.v1
title: Uploaded file 4: Sequence alignment for figure 3 b (465 orthologs)

description: A sequence alignment for the tree of 465 orthologs presented as Figure 3B.
DOI: 10.6084/m9.figshare.695962.v1
title: Human breast carcinoma signalome regulatory network

description: The human breast carcinoma signalome regulatory network was reverse engineered by the ARACNe algorithm (PMID 16723010) from 851 human breast invasive carcinoma samples profiled by RNASeq by "The Cancer Genome Atlas" (TCGA). The level 3 raw counts data was normalized and varianze stabilized using the DESeq package from Bioconductor (PMID 12664684). The regulatory network ('regul', 2,020 signaling genes regulating 18,135 target genes through 509,011 interactions) and the expression dataset used to assemble it ('dset', 851 samples x 20,155 genes) are included as an R-system binary file.
DOI: 10.6084/m9.figshare.15094194.v5
title: Data_multiDimensional_landscape

description: This dataset contains biodiversity and landscape data of 100 US metropolitans and 1-km cells, relating to the paper Detecting biodiversity patterns across a multidimensional urban landscape for the journal Ecology Letters
DOI: 10.6084/m9.figshare.26965246.v1
title: High-resolution multi-source traffic data: a case study in New Zealand

description: Traffic information is crucial for managing transportation and city planning, but obtaining national-scale data is difficult due to privacy concerns. Consequently, most current traffic datasets have limitations in terms of time and location coverage, leading to a lack of comprehensive public access to national traffic data. To address this issue, a multi-source highway traffic dataset has been created, featuring 2042 sensors in New Zealand over a 9-year period with 15-minute intervals and accompanying metadata. The dataset includes data of both light-duty and heavy-duty vehicles, as well as weather information like temperature and precipitation. This dataset has diverse potential research applications such as traffic flow prediction and congestion management.
DOI: 10.6084/m9.figshare.27186939.v1
title: Supplementary Material for: IL36RN Mutations and Correlated Characteristics in Generalized Pustular Psoriasis Patients in Can Tho City, Vietnam: A Cross-sectional study

description: Introduction: Pustular psoriasis is a rare and severe form of psoriasis characterized by sterile pustules on an erythematous background. The disease ranges from localized to generalized forms, with the latter being particularly life-threatening and recurrent. Understanding the genetic basis of pustular psoriasis, particularly IL36RN mutations, is crucial for developing better treatments. This study aims to determine the prevalence and types of IL36RN gene mutations and their relationship with clinical and paraclinical features in patients with pustular psoriasis in Can Tho City, Vietnam.

Methods: A cross-sectional study was conducted at Can Tho Dermatology Hospital involving 59 patients diagnosed with generalized pustular psoriasis (GPP) according to ERASPEN and Japanese Dermatological Association criteria. Data on demographic, clinical, and laboratory characteristics were collected. IL36RN gene mutations were identified through genomic DNA sequencing. Statistical analyses were performed to explore associations between IL36RN mutations and clinical features.

Results: The study included 59 participants, predominantly female (69.5%), with an average age of 39.12 years. A significant proportion (83.1%) had a history of psoriasis, with frequent recurrences (94.9%). The most common IL36RN mutation identified was p.Arg10ArgfsX1, present in 44.1% of patients. Other mutations included p.Pro76Leu (20.3%) and p.Arg102Trp (1.7%). Patients with IL36RN mutations were younger and had an earlier disease onset. Significant associations were found between IL36RN mutations and clinical features such as fever (OR = 11, p &lt; 0.0001) and geographic tongue (OR = 14.67, p &lt; 0.0001).

Conclusion: Our study reveals a high prevalence of IL36RN mutations, particularly p.Arg10ArgfsX1, in Vietnamese pustular psoriasis patients, strongly associating these mutations with clinical features like fever and geographic tongue.
DOI: 10.6084/m9.figshare.20531835.v2
title: Ontobj

description: Preprocessed ontobj to use for training of OntoVAE (VAE with ontology in latent space and decoder) models (https://github.com/hdsu-bioquant/onto-vae). <br> GO_ensembl_ontobj.pickle: Gene Ontology with ensembl identifiers, trimmed with thresholds 1000 and 30, recount3 GTEx dataset matched <br> GO_symbol_ontobj.pickle: Gene Ontology with gene symbols, trimmed with thresholds 1000 and 30, Kang PBMC unstimulated data matched <br> HPO_ontobj.pickle: Human Phenotype Ontology with gene symbols, trimmed with thresholds 1000 and 100, recount3 GTEx dataset matched
DOI: 10.6084/m9.figshare.28695560.v1
title: Photos Marine litter - Itamaracá 2022

description: Photos from marine litter sampled in Itamaracá island in December 2022The code in the photo is: Beach code; date; transect. SOS_21dec_T3 represents Sossego Beach, sampled on 21/12/2022, Litter from Transect 3. The sampling points are registered in the table '<i>sampling_points.xlsx</i><i>'</i><br>
DOI: 10.6084/m9.figshare.28732040.v3
title: Triple GLOW analysis

description: This dataset includes raw multispectral imaging data acquired in a laboratory setting using vials containing three fluorophores. The data were collected to evaluate the performance of a custom imaging system designed for simultaneous reflectance and fluorescence acquisition.The dataset supports the spectral unmixing and visualization methods described in the associated manuscript. It is intended to provide transparency and enable reproducibility of the imaging pipeline, including the evaluation of spectral separation and signal clarity.
DOI: 10.6084/m9.figshare.13050908.v1
title: Tree_file_Figure_S8

description: Tree file used to make figure S8
DOI: 10.6084/m9.figshare.21779636.v1
title: Annual mangrove maps from 1988 to 2022 in the Sundarbans

description: Annual mangrove maps in the Sundarbans derived from a 35-year Landsat archive and our proposed TCC-CS change detection algorithm. <br> AnnualMangroveMaps.zip stores mangrove maps in the Sundarbans for each year from 1988 to 2022 with the GeoTIFF format. AnnualMGF.nc stores the annual mangrove maps as an image stack with the NetCDF format. MangroveChanges.zip stores the timing and agents of loss and gain areas. <br> Please cite this work as "Zhang, Z.; Ahmed, M.R.; Zhang, Q.; Li, Y.; Li, Y. Monitoring of 35-Year MangroveWetland Change Dynamics and Agents in the Sundarbans Using Temporal Consistency Checking. Remote Sens. 2023, 15, 625. " for using this data. <br> Please contact Mr. Zhen Zhang (zh.zhang19951120@gmail.com) if you have any questions.