cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/m223fwcf5w
title: Sediment resuspension-driven recycling of particulate organic carbon along the Yangtze River–estuary–coastal ocean continuum

description: The Dataset contains information on sampling characteristics, organic carbon content, and compositions of suspended sediments from the Yangtze River, its estuary, bed sediments from the East China Sea, and nine sediment cores from the Yangtze River Estuary and the East China Sea. Supplementary Data 1 includes sample description, location, organic carbon content (OC), stable (delta13C), and radiogenic (F14C) isotopic composition of the Yangtze River samples. Supplementary Data 2 provides information on the sampling sites, OC, delta13C, and F14C of surface sediment samples from the East China Sea. Supplementary Data 3 contains nine sediment cores data from the Yangtze River Estuary-East China Sea, including sample location, OC, N/C ratio, Al/Si ratio, delta13C, and delta 15N. Supplementary Data 4 shows the compositional characteristics of POC in the Yangtze River. Supplementary Data 5 shows the composition of POC in the Yangtze River Estuary during a flood season. Here, we used new geochemical and sedimentological data, in conjunction with existing literature, to investigate the impact of physical sediment reworking and lateral transport processes on the fate of terrestrial POC at the land-ocean interface. Our data shows that sediment reworking and remobilization by physical forces within the Yangtze River Estuary induces the degradation and aging of POC, which can diminish the carbon storage potential of marine sediments.
DOI: 10.6084/m9.figshare.9920234.v1
title: Altitude and its inverse association with abdominal obesity in an Andean country

description: This is the dataset for the study entitle: "Altitude and its inverse association with abdominal obesity in an Andean country" sent for publication to the journal F1000Research
DOI: 10.6084/m9.figshare.14986668.v1
title: Assessing the extent of land-use change around important bat-inhabited caves

description: Names and aliases of caves acquired from a
meta-analysis of web and scientific literature, province where roosts occur, coordinates (Lat, Lon), whether each contains <i>Rousettus
aegyptiacus</i> (Rouset, Y- yes, U- unknown) and <i>Miniopterus natalensis</i> (Mini, Y-Yes, U- unknown, N- no), the roost
importance (wintering (Mini only), maternity (Mini only) and roost) and
websites and scientific literature from which the information was obtained.
Roosts marked with * indicate co-roosts for <i>M.
natalensis</i> and <i>R. aegyptiacus</i>
DOI: 10.17632/j9xjptjg4r
title: Dataset-review-IoT-Gateways

description: We collected the dataset using two bibliographic databases: Clarivate Web of Science (WoS) and Scopus.This analysis's search string was: ``internet of things gateway'' OR ``IoT gateway'' whose dataset download date was January 27, 2020. We apply this string to the search for topics in WoS and Scopus, which includes title, abstract, author keywords, and KeyWords Plus R (forWoS). With these search criteria, we download the data set. Then we preprocess it in ScientoPy, where duplicate documents were filtered and removed. We took 413 documents with their bibliographic data to carry out a scientometric analysis with ScientoPy to extract the first 500 keywords from the main author. We then extracted the author keywords related to IoT Gateway implications from this list. We organized them into three different categories (Protocols, Validation, and Cloud Interface).
DOI: 10.17632/z9hrd7yrs8
title: Data for: When CSR-Based Identification Backfires - Testing the Effects of Identification-Related Negative Publicity
DOI: 10.17632/6ns4xkbnf3
title: Data set for the ANN prediction of landslide coverage area

description: This is data set for the ANN prediction of landslide coverage area , associated with the submission of Paper "Prediction on coverage area of flow-like landslides considering the influence of random strength parameters based on artificial neural network model".
DOI: 10.17632/h73s2269y2
title: Insight from phosphate oxygen isotope into coupled distribution of phosphorus, iron, and manganese in lake sediments by groundwater and geochemical focusing

description: Raw data for all figures in the manuscript by Ishida et al. as "Insight from phosphate oxygen isotope into coupled distribution of phosphorus, iron, and manganese in lake sediments by groundwater and geochemical focusing".
DOI: 10.17632/n4z4ndwzzy
title: Data for: What if compulsory schooling was a 21st century invention? Weak Signals from a Systematic Review of the Literature

description: We conducted systematic reviews of empirical studies comparing traditional and alternative approaches to instruction or assessment to examine the potential for compulsory schooling to be redesigned (2000-2017).
DOI: 10.6084/m9.figshare.12871487.v1
title: Supplementary Material for: SmoCuDa: A Validated Smoking Cue Database to Reliably Induce Craving in Tobacco Use Disorder

description: <b><i>Background:</i></b> Cue-reactivity paradigms provide valuable insights into the underlying mechanisms of nicotine craving in nicotine-dependent subjects. In order to study cue-driven nicotine craving, robust and validated stimulus datasets are essential. <b><i>Objectives:</i></b> The aim of this study was to generate and validate a large set of individually rated smoking-related cues that allow for assessment of different stimulus intensities along the dimensions craving, valence, and arousal. <b><i>Methods:</i></b> The image database consisted of 330 visual cues. Two hundred fifty smoking-associated pictures (Creative Commons license) were chosen from online databases and showed a widespread variety of smoking-associated content. Eighty pictures from previously published databases were included for cross-validation. Forty volunteers with tobacco use disorder rated “urge-to-smoke,” “valence,” and “arousal” for all images on a 100-point visual analogue scale. Pictures were also labelled according to 18 categories such as lit/unlit cigarettes in mouth, cigarette end, and cigarette in ashtray. <b><i>Results:</i></b> Ratings (mean ± SD) were as follows: urge to smoke, 44.9 ± 13.2; valence, 51.2 ± 7.6; and arousal, 54.6 ± 7.1. All ratings, particularly “urge to smoke,” were widely distributed along the whole scale spectrum. <b><i>Conclusions:</i></b> We present a novel image library of well-described smoking-related cues, which were rated on a continuous scale along the dimensions craving, valence, and arousal that accounts for inter-individual differences. The rating software, image database, and their ratings are publicly available at https://smocuda.github.io.
DOI: 10.15131/shef.data.19486907.v1
title: Data for "Adsorption of Small Organic Molecules on the alpha-Al2O3 (0001) Mineral Surface: A Computational Study"

description: Optimised structures of adsorption configurations of organic molecules on the alpha-Al2O3 (0001) surface
DOI: 10.17632/4rkzmzs5vg
title: Data for: Evidences for structural control on geothermal upwelling and active tectonics in Ixtlán de los Hervores, western Trans-Mexican Volcanic Belt

description: coordinates of the hydrothermal manifestation in Ixtlan, coordinates of the silica sinter samples used for mineralogical analysis and diffractograms of some of the analyzed sinter deposits
DOI: 10.6084/m9.figshare.1295454.v1
title: Contraceptive use in Sweden

description: This is a database of 1000 women and their contraceptive use and experience of unintended pregnancy in Sweden 2012
DOI: 10.17632/56ws3b6379
title: Data for: Hydrophobicity Classification of Composite Insulators Based on Convolutional Neural Networks

description: By applying the spray method (IEC Standard 62073), about 4500 photos were collected and are available online, from all hydrophobicity classes using distilled water-ethyl alcohol as spraying solution. The pictures of the seven different hydrophobicity classes were split into three separate sets for each hydrophobicity class. The first one consisting of 400 instances of each class (400 × 7 = 2800 photos) was used for the training of the networks. The second one consisting of 100 instances of each class (100 × 7 = 700 photos) was used for the evaluation-validation of the learning course and the comparison of the different models. The last one with 122-165 different instances of each class (980 photos) was used for the final assessment of our chosen model.
DOI: 10.17632/byxhj9ng7w
title: Data of benthic and planktonic foraminifera since MIS 5 from Campos Basin slope, Eastern Brazil

description: Dataset of benthic and planktonic foraminifera since Mid-Pleistocene (MIS 5) from Campos basin slope, South Atlantic. This is tabular data containing the core profile of GL-54 (16.1 m length, 22º 28’ 11.51" S and 40º 19’ 17.29" W, drilled at approximately 450 m water depth), data from the isotopic analysis, Simper analysis results, a summary of the data from GL-54 and GL-39, and systematics of main species.
DOI: 10.17632/8sv4j2r9wk
title: The inner-city inhabitants and foreigners' contribution commitment to improving air pollution in Hanoi, Vietnam

description: Science-based desirable solutions for mitigating and or reducing environmental pollution are of important priorities for many developed and developing countries. In this dataset, we concentrate on studying contribution commitments and factors influencing interviewees' willingness-to-pay to reduce air pollution by using a contingent valuation method. We employed a stratified random sampling technique with a face-to-face approach to survey 199 inhabitants and 75 foreigners who reside and travel within the inner-city of Hanoi, the capital of Vietnam - an emerging country in Southeast Asia. The dataset comprises four major groups of information including (1) perception of air pollution and its impacts, (2) preventive measures used to mitigate polluted air, (3) commitments on willingness-to-pay (WTP) for reducing air pollution alongside reasons for the yes-or-no-WTP decisions, and (4) demographic information of interviewees. The data could bring many attributes and policy implications for better economics and environmental management in the study area and or in similar places around the world.
DOI: 10.17632/2t8zv3b6k5
title: Hyperkalaemia in Trauma

description: This set includes retrospectively collected data from a Level-1 trauma centre in Austria. 
With these data, we conducted a retrospective cohort study on adult patients with traumatic bleeding admitted to a European Major Trauma Centre between January 2016 and December 2021. Patients were classified according to their serum potassium levels on arrival, and relevant clinical parameters between non-hyperkalaemic and hyperkalaemic patients were compared.
Among the 83 patients in this study, 11 (13.3%) presented with hyperkalaemia on arrival. The median shock index showed a higher tendency in the hyperkalaemic group. Hyperkalaemia was found to be more prevalent among younger patients who sustained penetrating trauma. Mortality rates were higher in the hyperkalaemic group, but the difference was not statistically significant.
Our results suggest that hyperkalaemia is prevalent in bleeding trauma patients on hospital arrival pre-transfusions, suggesting a more severe illness. Our findings provide insights into the pathophysiology and characteristics of hyperkalaemia in bleeding trauma patients. Further studies are required to investigate the mechanisms by which hyperkalaemia contributes to mortality in haemorrhagic shock patients.
DOI: 10.17632/gddtdktjwp
title: 3D LiDAR and Photogrammetry Scans of a Stilt House in Tai O Village - 2022 - Case 729580

description: This data includes a point cloud file from a combined photogrammetric and LiDAR scan of a stilt house in Tai O Village. The house is designated "Case 729580" in the research project record. Researchers collected the scan using a single, approximately 10 minute walk-through of the house with the Leica-brand BLK2Go model 3D environment scanner. The scan describes the interior and partial exterior of a stilt house in high detail and color. The scan has been decimated to a voxel size of 5 mm to reduce file size. The data provides clear enough rendering of the physical conditions of the house to allow interpretation of the scan into description of the house's construction, contents, and spatial use. The data is available under embargo of one year to protect the personal information of residents of the house, provided for purposes of digital conservation of the building, and for interpretation of the house's physical conditions and interior contents through further research. More detailed information on the dataset, including the date the scan was conducted, the location of the house, and related interview and survey datasets are available upon reviewed request.
DOI: 10.17632/k9cd8y2gwt
title: Structure of TnsABCD transpososome and mechanistic insights into targeted DNA insertion by Tn7-like transposons

description: This Mendeley Dataset includes uncropped gels, Excel datasets for qPCR graphs, and raw mass spectrometry data for TnsD.
DOI: 10.17632/tmksc8mkt8
title: cellular and Geo-spatial information on 10 km drive test

description: The data includes GSM signal strength, time, date and geo-spatial information (latitude and longitude) along Akure-Ilesha road, Ondo state, Nigeria.
DOI: 10.17632/vxh4s4n5ns
title: CARDIOVASCULAR RISK ASSESSMENT TOOLS: A SCOPING REVIEW

description: Objective: To map the knowledge produced on cardiovascular risk assessment tools for adults and the elderly in primary care. Method: This is a scoping review according to the JBI. The research question was: “What are the tools for assessing cardiovascular risk in adults in primary care?”. The study was carried out between August 2023 and May 2024 using the following databases: LILACS, MEDLINE, WoS, Embase, Scopus and CINAHL, as well as gray literature. Rayyan software was used to select the studies and resolve duplicates. Results: The sample consisted of 50 studies. Among the technologies used to assess cardiovascular risk, the following were identified: risk scores (n=27), calculators (n=13), equations (n=7), guidelines (n=5), prediction tables (n=3), graphs (n=1), statistical models (n=1), numbers (n=1) and mobile applications (n=1). There was a higher prevalence in the use of the Framingham score (n=20). The Framingham Risk Score was the most prevalent, followed by Calculating the individual risk score. The most common risk factors among the tools were: age, gender, smoking, HDL, SBP and DM. Conclusion: Among the technologies, the scores and calculators prevailed, as did the Framingham indicators, pointing to the demand for expanded technological innovations regarding cardiovascular risk factors, without limitation to biochemical and anthropometric markers.
DOI: 10.17632/xg6x298w3b
title: LINF_100018400

description: PAB1-binding protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/xw845pyns8
title: SII as a Predictor of Mortality in Patients with Non-ST-Segment Elevation Myocardial Infarction and Diabetes Mellitus

description: Systemic immune inflammation index (SII) is an innovative marker that reflects the status of immune and inflammatory responses. The aim of this study was to investigate the predictive value of SII on the risk of death in patients with NSTEMI combined with T2DM.
DOI: 10.6084/m9.figshare.17105084.v1
title: Supplementary Material for: Evaluation of Psoriasis Area and Severity Index Thresholds as Proxies for Systemic Inflammation on an Individual Patient Level

description: <b><i>Background:</i></b> Psoriasis is a chronic and systemic inflammatory disease with a loss of up to 5 life years, which is thought to be reduced by biologic treatment. Disease severity and eligibility for systemic treatment are often based on the cutaneous psoriasis area and severity index (PASI) with a cut-off of 10 in several European countries. However, it is unclear how well this cut-off reflects systemic inflammation and, consequently, the risk for the development of comorbidity. <b><i>Objectives:</i></b> (1) To assess whether specific PASI thresholds, in particular PASI 10, predict elevated biomarkers of systemic inflammation and cardiovascular risk on an individual patient level. (2) To assess the association of PASI and psoriatic arthritis with biomarkers of systemic inflammation and cardiovascular risk. <b><i>Methods:</i></b> Retrospective cross-sectional study of 72 psoriasis patients without systemic treatment. <b><i>Results:</i></b> Overall, 68, 42, and 50% of patients had cardiovascular risk level neutrophil-to-lymphocyte ratio (NLR), C-reactive protein, and elevated platelet-to-lymphocyte ratio (PLR) values, respectively. The respective positive predictive values of PASI 10 were 70, 45, and 70. The performance of the optimal PASI cut-offs according to the Youden index was similarly weak. Subgrouping of patients with a PASI below 10 did not result in a considerably improved reflection of systemic inflammation. PLR was significantly higher in patients with moderate-to-severe compared to mild psoriasis and significantly correlated with PASI in patients with a PASI above 2 (<i>r</i><sub>s</sub> = 0.266, <i>n</i> = 64). NLR was significantly higher in patients with psoriatic arthritis. <b><i>Conclusion:</i></b> Specific PASI thresholds were not well suited to predict elevated biomarkers of systemic inflammation and cardiovascular risk on an individual patient level. Therefore, PASI, and possibly other purely cutaneous measures, may not be ideal as stand-alone parameters to define disease severity and eligibility for systemic treatment. Our results are relevant for the ongoing discussion on the definition of psoriasis severity and eligibility for systemic treatment. Further research addressing the added value of a set of biomarkers of systemic inflammation in the assessment of psoriasis severity would be desirable.
DOI: 10.17632/8hxp4wyyhm
title: Assessing the incidence of skin and soft tissue infection in patients on biologics

description: Supplemental Tables and Figures
DOI: 10.17632/2pdwp5xnmv
title: Gap Detection

description: Experimental data for the paper "Mind the gap: decoding decreases in tonic firing in populations of spiking neurons" by Durian et al (2022).
DOI: 10.17632/47n7n25z5w
title: Dataset from untargeted analysis in post-COVID-19 patients reveals dysregulated lipid pathways two years after recovery

description: The data contains all the intensity values used in the study, data is scaled by square and normalized by sum (TIC). Rows are m/z values and columns contains samples.
DOI: 10.17632/5d9tct22fx
title: Cardiac tissue model of immune-induced dysfunction reveals the role of free mitochondrial DNA and therapeutic effects of exosomes

description: This dataset provides all relevant raw data for each figure. It also provides videos, confocal images, and western blots.
DOI: 10.17632/ftv55jht65
title: O-GlcNAcylation of Raptor transduces glucose signals to mTORC1. Xu et al.

description: The original data for western blot, immunostaining, and metabolomics for a manuscript entitled "O-GlcNAcylation of Raptor transduces glucose signals to mTORC1"
DOI: 10.17632/jsz6wyvbwb
title: Mendeley Data (update)

description: Dataset includes XRF measurements (pH effect and KClO3 effect) and update XRD examinations/figures related to REE (Ce, Nd, and Th) analysis from Bangka Tin Tailing
DOI: 10.17632/b6mpfkthrd
title: Aviation SCM

description: Scopus dataset used for carrying out Bibliographic analysis on SCM in Aviation Industry
DOI: 10.17632/kyb5yxz4vz
title: Sensitivity to Punishment and Emotional Eating

description: raw spss data
DOI: 10.6084/m9.figshare.5126497.v1
title: Supplementary Material for: Modelling Childhood Growth Using Fractional Polynomials and Linear Splines

description: <b><i>Background:</i></b> There is increasing emphasis in medical research on modelling growth across the life course and identifying factors associated with growth. Here, we demonstrate multilevel models for childhood growth either as a smooth function (using fractional polynomials) or a set of connected linear phases (using linear splines). <b><i>Methods:</i></b> We related parental social class to height from birth to 10 years of age in 5,588 girls from the Avon Longitudinal Study of Parents and Children (ALSPAC). Multilevel fractional polynomial modelling identified the best-fitting model as being of degree 2 with powers of the square root of age, and the square root of age multiplied by the log of age. The multilevel linear spline model identified knot points at 3, 12 and 36 months of age. <b><i>Results:</i></b> Both the fractional polynomial and linear spline models show an initially fast rate of growth, which slowed over time. Both models also showed that there was a disparity in length between manual and non-manual social class infants at birth, which decreased in magnitude until approximately 1 year of age and then increased. <b><i>Conclusions:</i></b> Multilevel fractional polynomials give a more realistic smooth function, and linear spline models are easily interpretable. Each can be used to summarise individual growth trajectories and their relationships with individual-level exposures.
DOI: 10.17632/6wx87db2tv
title: Supplemental Material

description: Supplement 1: Published studies that report hair HCC, hair DHEA, and the DHEA/HCC ratio and depression.
DOI: 10.17632/sf5drbf5t9
title: Rationalizing the sectoral balances

description: The DO file reveals data and methods for my recalculation of personal income and the sectoral balances in the US. Most source data in the DTA file were obtained through the Federal Reserve Economic Data (FRED). However, some of the variables needed to replicate Cynamon and Fazzari’s (2017) adjusted household income and net financial savings were missing for the pre-1992 period. These missing values have been filled in using Cynamon and Fazzari’s extrapolations, details of which are available upon request, subject to their consent.
DOI: 10.17632/zygcfyg64w
title: Bayesian Hybrid Classification: Diagnosis data

description: The method has been applied in two biomedical contexts: 
- The first one refers to cancer diagnosis. 
- The second one considers the diagnosis of pathologies of the vertebral column.
DOI: 10.17632/hbx9bfnp3m
title: Phage Therapy Combined with Gum Karaya Injectable Hydrogels for Treatment of Methicillin-resistant Staphylococcus aureus Deep Wound Infection in a Porcine Model

description: Supplementary data to Fig. 6. Evaluation of the antibacterial effect of combined Gum Karaya injectable hydrogel/hydrogel film with phage preparation on staphylococcal infection, hydrogel films only, injectable hydrogel only or untreated wounds during the treatment of methicillin-resistant S. aureus infection.
DOI: 10.17632/vdmtzj4nw3
title: The prognostic value of Cone Beam CT (CBCT) in brain metastasis patients using Radiomics and Machine learning.

description: this data includes radiomics features extracted from CBCT (original and resampled), merged MRI and CBCT, and MRI data. that was used to assess the performance of CBCT in brain metastasis and compare finding to MRI model.
DOI: 10.17632/zzc668bbxz
title: Data for: The application of machine learning methods to aggregate geochemistry predicts quarry source location: a case study from the Irish aggregate industry.

description: Attempting to classify the quarry sources which provided reactive rock aggregate, composed of Carboniferous aged pyritic mudrocks and limestones, to over 12, 500 homes across Ireland has not yet been possible using geochemical data. Using this dataset, a solution to this problem is found by applying machine learning models, such as logistic regression and random forest, to a geochemical dataset of scanning electron microscope energy-dispersive X-ray spectroscopy (SEM-EDS) and Laser ablation-quadrupole-inductively coupled plasma mass spectrometry (LA-Q-ICPMS) of pyrite, and Isotope ratio mass spectrometry (IRMS) of bulk rock aggregate, to predict quarry source location.