cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25706562.v1
title: Enhanced Dam Failure Loss Estimation Method Using Popula-tion Heat Map and Land Use Data in Water Resources Sector

description: <b>Abstract: </b>Dams of reservoir, as crucial infrastructure, pose a significant risk to downstream populations and assets in the event of a dam failure. Conducting simulation analyses of dam failure processes and estimating life loss is essential for constructing risk management systems and formulating emergency refuge plans for dams. Traditional statistical survey methods suffer from shortcomings such as inadequate authenticity, delayed data sharing, and limited application value. This paper proposes a method for estimating dam failure life loss based on population thermal maps and land use data. By employing population thermal maps to estimate the number of at-risk populations and enhancing traditional static statistical population estimation methods, we address real-time data challenges. Through the introduction of temporal variables to distinguish between new and historical at-risk populations, data authenticity and accuracy are improved. Using the BREACH model and two-dimensional hydrodynamic models, we simulate the dam failure process and flood flow rates as well as the inundation area of the Shiyan Reservoir in Shenzhen. Subsequently, the dam failure life loss estimation method based on population thermal maps and land use data is applied to estimate life loss under different warning time parameters. We analyze the factors affecting life loss in flood risk areas and propose suggestions for severity factors and parameter selection. The results demonstrate the model's applicability in addressing challenges related to population estimation authenticity and accuracy through real-time, accurate, and intuitive data analysis. It provides robust support for disaster warning and emergency response, enhances decision-making efficiency and accuracy, and plays a crucial role in safeguarding people's lives and property. The findings of this study can serve as a theoretical reference for predicting dam failure risk population disasters, emergency rescue operations, and population relocation plans in the future.
DOI: 10.6084/m9.figshare.26086779.v1
title: HiGTS_2005s2

description: HiGTS is a high temporal resolution global gridded dataset of human thermal stress metrics. Derived using climate variables from ERA5-Land and ERA5, the HiGTS consists of hourly gridded maps of Universal Thermal Climate Index (UTCI), Universal Thermal Stress (UTS), and daily Thermal Stress Duration (TSD) at 0.1° × 0.1° spatial resolution over the global land surface.HiGTS_2005s2 contains the data from April 1, 2005 to June 30, 2005.
DOI: 10.17632/ts8ws9w52y
title: Code and Data for Predicting Large-Scale Systematic Missing Pipe Attributes in Water Distribution Networks

description: This collection of geospatial data, water network models, and Python code were developed for a pending journal paper with the following abstract: "Water distribution network (WDN) models are an essential tool used by water utilities for hydraulic analysis. Unfortunately, missing data and insufficient resources often make creating and maintaining these models unfeasible. Existing methods for missing pipe properties like sequential imputation for missing values and reconstruction using graph metrics are designed to accommodate random patterns of missing information and require at least 50% of the values to be known. However, these assumptions about data completeness do not always align with real-world scenarios where large sections of the WDN model have missing data. To address this challenge, this study proposes a data-driven approach for estimating the properties (e.g., diameter) of pipes in a WDN when considering different spatial patterns and degrees of data completeness (i.e., 0% - 90%). Using data from 16 WDNs in Kentucky, this study compares the use of machine learning (ML) to predict pipe diameter using topological, geospatial, and hydraulic features against an existing deterministic approach. Results demonstrate that WDN models completed by the proposed ML approach had comparable hydraulic performance to the true models. Moreover, results suggest that WDN system classification and percentage of missing data significantly influence the ML model and its parametrization. Insights from this study help advance the ability to leverage partial data to create WDN models that can be used for resilience analysis, a capability particularly important for communities without adequate resources."
DOI: 10.6084/m9.figshare.1233996.v1
title: structures for: Towards biochemically relevant QM computations on nucleic acids. Controlled electronic structure geometry optimizations of nucleic acids structural motifs using penalty restraint functions.

description: Recent developments of dispersion-corrected density functional theory methods allow for the first time to describe large fragments of nucleic acids (hundreds of atoms) with an accuracy clearly surpassing the accuracy of common biomolecular force fields. Such calculations can significantly improve the description of the potential energy surface of nucleic acids molecules, which may be useful for studies of molecular interactions and conformational preferences of nucleic acids, as well as verification and parameterization of other methods. The first of such studies, however, demonstrated that successful applications of accurate QM calculations to larger nucleic acids building blocks are hampered by difficulties to obtain geometries that are biochemically relevant and are not biased by non-native structural features. We present an approach that can greatly facilitate large-scale QM studies on nucleic acids, namely, electronic structure geometry optimizations of nucleic acid fragments utilizing a penalty function to restrain key internal coordinates with a specific focus on the torsional backbone angles. The work explores the viability of these restraint optimizations for DFT-D3, PM6-D3H and HF-3c optimizations on a set of examples (an UpA dinucleotide, a DNA G-quadruplex and a B-DNA fragment). Evaluation of different penalty function strengths reveals only a minor system-dependency and reasonable restraint values range from 0.01 to 0.05 Eh/rad2 for the backbone torsions. Restraints are crucial to perform the QM calculations on biochemically relevant conformations in implicit solvation and gas phase geometry optimizations. The reasons why to use restrained instead of constrained or unconstrained optimizations are explained and an open-source external optimizer is provided.
DOI: 10.6084/m9.figshare.13160048.v1
title: PAF_max_dispersal.zip

description: see Readme
DOI: 10.6084/m9.figshare.28540994.v1
title: Raw Data Screen Time

description: Raw Data Set for Screen Time cross-sectional study.
DOI: 10.17632/6ry3x7r8hf
title: Investigating Highly Variable Genes in Single-cell RNA-seq Data across Multiple Cell Types and Conditions

description: The peripheral blood immune cell (PBMC) samples were collected from patients infected with dengue virus (DENV) at four time points: two and one day(s) before defervescence (febrile phase), at defervescence (critical phase), and two-week convalescence. The raw and filtered matrix files were generated using CellRanger version 3.0.2 (10x Genomics, USA) with the reference human genome GRCh38 1.2.0. Potential contamination of ambient RNAs was corrected using SoupX. Low quality cells, including cells expressing mitochondrial genes higher than 10% and doublets/multiplets, were excluded using Seurat and doubletFinder, respectively. The individual samples were then integrated using the SCTransform method with 3,000 gene features. Principal component analysis (PCA) and clustering were performed with the Louvain algorithm applying multi-level refinement algorithm. The gene expression level of each cell was normalized using the LogNormalize method in Seurat. Cell types were annotated using the canonical marker genes described in the original paper, see related link below.
DOI: 10.17632/dkptcnjn42
title: Luffa Aegyptiaca Leaf Disease Classification

description: Greetings Researchers and Plant Pathologists,

Delve into the intricate world of "Luffa Aegyptiaca Leaf Disease Classification," an extensive dataset meticulously compiled from the agrarian landscapes of Jalkuri, Narayanganj, and Khagan, Ashuliya, situated within the Dhaka district of Bangladesh. This dataset stands as a significant contribution to the field, offering an unparalleled examination of Luffa Aegyptiaca plants afflicted with various diseases.

Organized into three distinct subfolders—Cucumber Mosaic Virus, Downey Mildew, and Leaf Spot—this dataset comprises 6533 high-resolution JPEG images, each meticulously captured at a resolution of 854x480 pixels. The Cucumber Mosaic Virus subfolder encompasses 2004 images, providing a detailed visual representation of the viral pathology affecting Luffa aegyptiaca. In the Downey Mildew subfolder, 2024 images elucidate the nuanced manifestations of fungal infection, while the Leaf Spot subfolder, boasting 2505 images, offers a comprehensive exploration of leaf spot diseases.

Collected from the regions of Jalkuri and Khagan, this dataset not only provides a visual narrative but also serves as a unique repository, currently unparalleled on the internet. Researchers, agronomists, and scholars in plant pathology will find this dataset to be an invaluable asset for in-depth analysis and understanding of diseases affecting Luffa aegyptiaca crops.

Embark on a scholarly exploration, unravel the complexities of plant-pathogen interactions, and augment your research endeavors with the rich visual data encapsulated in "Luffa aegyptiaca 480." This dataset beckons as a cornerstone for agricultural research, offering a nuanced perspective into the challenges faced by Luffa aegyptiaca in the Dhaka district.

Happy Exploring!
DOI: 10.6084/m9.figshare.1615047.v1
title: DoOP chordate v1.3 dataset for 3000 nt promoter regions

description: 3000 nt promoter sequences, alignments and conserved motifs for the DoOP database, chordate section, v1.3.
DOI: 10.6084/m9.figshare.20237529.v3
title: Stretch forming Data.rar

description: magnesium alloy sheet, stretch forming, high temperatures
DOI: 10.6084/m9.figshare.28416318.v1
title: High-resolution coral records of rare earth elements and yttrium in seawater driven by submarine groundwater discharge in a basalt island: A case study in the northern South China Sea

description: The data referred to "High-resolution coral records of rare earth elements and yttrium in seawater driven by submarine groundwater discharge in a basalt island: A case study in the northern South China Sea" pubished by Journal of Geophysical Research - Earth Surface.
DOI: 10.17632/564gdrxv79
title: HCF testing raw data on piston pin steels

description: Data of high-cycle fatigue testing on piston pin steels under various conditions: stress and fretting force
DOI: 10.17632/b4387jcczn
title: Estimation of dietary salt intake from 24-hour and on spot urinary sodium excretion in Bangladesh.

description: Excessive salt intake is one of the main risk factors of hypertension. In Bangladesh, it is a significant contributor to the increased risk of non-communicable diseases. The study was conducted in 2012-2013 to estimate the salt consumption status and assess the relationship between excessive salt intake and high blood pressure among the middle-aged urban and rural Bangladeshi populations. Age, BMI, and blood pressure of the respondents were taken and expressed as Mean and SD or 95% CI. History of hypertension of the respondents and information regarding dietary salt intake patterns was gathered among the subjects by residence and expressed as frequency & percentage. Some urinary parameters like urinary sodium, potassium, creatinine, the ratio of sodium and potassium, and the urine volume were assessed among respondents by residence. The population salt consumption was estimated from both methods of 24-hour urinary sodium concentration and spot urine concentration like Tanaka, Kawasaki, and INTERSALT methods. Correlation between estimated salt intake by 24-hour urine and three spot urine methods were measured. Estimated consumed salt was measured by gram/day. Correlations between systolic and diastolic blood pressures and urinary parameters such as sodium (gm/day), Potassium (gm/day), and the ratio of Sodium and Potassium (mmol/L / mmol/L) were calculated. Salt intake from 24-hour urine and ratio of sodium and potassium excretion were divided into four quartiles to observe differences in blood pressure between quartiles. Multilinear regression was applied to observe correlations between blood pressure and salt intake estimated from 24-hour urine and ratio of Na: K excretion after adjusting for age and BMI. Here it is noted that the ratio of urinary Na: K excretion was positively correlated with both the systolic and diastolic blood pressure even after adjustment by age and BMI in multilinear regression. For this study, all analysis was done by using SPSS version 26.0, and the significance level was considered at a 95% confidence interval.
DOI: 10.17632/d6tzhvp8pr
title: Energy Consumption Dataset

description: Global energy crisis and ozone layer depletion because of carbon emission has increased the encouragement and penetration renewable energy sources as source of electric power and hence the sizing of the renewable energy source. However, sizing of energy power system requires the information one is addressing as such demand of the load is very necessary.  The Load demand data of Nile University campus is obtained from its power station one for a period of eight month. The data was measured from the bus bar of the power station using smart meters on a weekly basis. The power station one of Nile University campus is characterized by three diesel generators, the public utility, and photo-voltaic solar systems. These power generating systems are synchronized at a common bus bar and used to power the university campus. The campus is composed of five blocks which is powered by the PS1.
DOI: 10.17632/f4h8tc5wz7
title: Data for: Expression of thermal tolerance genes in two Drosophila species with different acclimation capacities

description: qPCR data for heat shock gene expression in Drosophila melanogaster and Drosophila subobscura in response to developmental acclimation, and heat hardening during a thermal ramping assay. The data represent R0-values as calculated from MX3005 raw values by the DART-PCR v.1 excel macro and was further NORMA-Gene normalized.
DOI: 10.17632/yk627yrr4h
title: Dance for Parkinson's. A dataset of a pilot clinical trial.

description: This dataset (from clinical trial: Effects of a structured dance program in Parkinson’s disease. A Greek pilot study) includes raw data extracted from 16 early-to-mid-stage Parkinson's disease patients that met the inclusion criteria for the pilot clinical trial. Clinical assessments of quality of life (Parkinson's Disease Questionnaire-8), depressive symptoms (Beck Depression Inventory-II), fatigue (Parkinson Fatigue Scale-16), cognitive functions (Montreal Cognitive Assessment), balance (Berg Balance Scale), and body mass index (kg/m2) performed before (baseline) and after the sixteen 60-min dance (Dance for Parkinson's®) intervention of 8 weeks (2/w).
DOI: 10.6084/m9.figshare.1245062.v1
title: The effects of crowdedness and shadiness on plant height of Solidago canadensis, Cirsium vulgare, and Aster prenanthoides

description: Methods: Two transects were laid down in the grasslands east of Stong Pond on two separate days. On Tuesday, October 14, 2014 samples were taken from the inner region of the grassland (I) and on Tuesday, October 21, 2014 samples were taken from the outer region of that same grassland (O). Every 5 metres along the transect, the heights of the nearest Solidago canadensis, Cirsium vulgare, and Aster prenanthoides found within 1m from the transect were measured from where the stem touched the ground to the highest point on the plant. Each plant’s level of shadiness and crowdedness around the plant was recorded. This was repeated for a total of 60 replicates (30 for each transect). This data was then used in ANOVA tests and Tukey post-hoc tests to analyze shadiness versus the average plant height of each different species. Next, correlation tests were used to analyze crowdedness versus plant height of each species. This experiment was done to test whether the amount of sunlight affects plant height and whether the amount of crowdedness affects plant height.
DOI: 10.6084/m9.figshare.16917691.v1
title: screenspilot_dataset.xls

description: The dataset contains data screen media consumed during the SCREENS pilot trial (2018/2019). The data is used to evaluate the degree of compliance to two screen media use reduction interventions.
DOI: 10.6084/m9.figshare.22683412.v1
title: Data sheet Kolobe et al. 2023.xlsx

description: This sheet contain data on production parameters, digestibility and meat quality after 14 day storage period
DOI: 10.6084/m9.figshare.23688831.v2
title: Deer Behavioral Responses Data

description: These data include deer vigilance, spatial activity, coyote activity, and wild pig activity from passive wildlife trail cameras in McCormick County, South Carolina, in May & June, 2019, 2020, and 2021.
DOI: 10.6084/m9.figshare.28159982.v1
title: Supplement XI for “Recombinant expression of receptor binding domains of all eight subtypes of botulinum neurotoxin type A for generation of antitoxins with broad reactivity”.

description: Supplement XI for “Recombinant expression of receptor binding domains of all eight subtypes of botulinum neurotoxin type A for generation of antitoxins with broad reactivity”.
DOI: 10.17632/9yzdnng594
title: Eye Blink Detection

description: Non-frontal video recording for left eye monitoring inside VR-headset to detect eyeblinks. Additionally, an annotation file was attached. the annotation file could be used to evaluate future similar algorithms
DOI: 10.26180/13180286.v1
title: Table S1 from; 'Genomic surveillance of antimicrobial resistant bacterial colonisation and infection in intensive care patients'

description: These data support the article titled, 'Genomic surveillance of antimicrobial resistant bacterial colonisation and infection in intensive care patients.' <br>Table S1: Specimen and genotype information of isolates included in the study.<br>
DOI: 10.6084/m9.figshare.1603492.v4
title: A Simple Novel Device for Air Sampling by Electrokinetic Capture

description: A variety of different sampling devices are currently available to acquire air samples for study of the microbiome of the air. All have a degree of technical complexity that limits deployment. Here we evaluate the use of a novel device, which has no technical complexity and is easily deployable. An air-cleaning device powered by electrokinetic propulsion has been adapted to provide a universal method for collecting samples of the aerobiome. Plasma induced charge in aerosol particles causes propulsion to and capture on a counter-electrode. The flow of ions creates net bulk airflow, with no moving parts. A device and electrode assembly have been re-designed from air cleaning technology to provide an average air flow of 120 liters per minute. This compares favorably with current air sampling devices based on physical air pumping. Capture efficiency was determined by comparison with a 0.4 micron polycarbonate reference filter, using fluorescent latex particles in a controlled environment chamber. Performance was compared with the same reference filter method in field studies in three different environments. For 23 common fungal species by qPCR there was 100% sensitivity and apparent specificity of 87%, with the reference filter taken as “gold standard”. Further, analysis bacterial 16S RNA by amplicon sequencing of showed equivalent community structure captured by the electrokinetic device and the reference filter. Unlike other current air sampling methods, capture of particles is determined by charge and so is not controlled by particle mass. We analyzed particle sizes captured from air, without regard to specific analyte by atomic force microscopy: particles at least as low as 100 nM could be captured from ambient air. This work introduces a very simple plug-and-play device that can sample air at a high volume flow rate with no moving parts and collect particles down to the sub-micron range. The performance of the device is substantially equivalent to capture by pumping through a filter for microbiome analysis by quantitative PCR and amplicon sequencing.
DOI: 10.6084/m9.figshare.23007362.v2
title: Fatigue database of complex metallic alloys

description: The past few decades have witnessed rapid progresses in the research and development of complex metallic alloys such as metallic glasses and multi-principal element alloys, which offer new solutions to tackle engineering problems of materials such as the strength-toughness conflict and deployment in harsh environments and/or for long-term service. A fatigue database (FatigueData-CMA2022) is compiled from the literature by the end of 2022. Data for both metallic glasses and multi-principal element alloys are included and analyzed for their statistics and patterns. Automatic extraction and manual examination are combined in the workflow to improve the efficiency of processing, the quality of published data, and the reusability. The database contains 272 fatigue datasets of <em>S</em>-<em>N</em> (the stress-life relation), <em>ε</em>-<em>N</em> (the strain-life relation), and d<em>a</em>/d<em>N</em>-Δ<em>K</em> (the relation between the fatigue crack growth rate and the stress intensity factor range) data, together with the information of materials, processing and testing conditions, and mechanical properties. The database and scripts are released in open repositories, which are designed in formats that can be continuously expanded and updated. <br> Article DOI: 10.1038/s41597-023-02354-1
DOI: 10.6084/m9.figshare.25117682.v2
title: On-site productivity data

description: Productivity dataset of two real projects located in Montreal, Canada constructed from September 2001 to June 2004.
DOI: 10.6084/m9.figshare.25470313.v1
title: Antibiotic Resistance Genes (CARD) (trimmed reads screening)

description: Results of antibiotic resistance genes –trimmed reads screening- using ARIBA 2.14.6 and Resfinder database for 11 CA-MRSA isolates causing infections in children in Spain, in which no antibiotic resistance genes explaining their antibotic resistance phenotype were found using the corresponding assemblies.
DOI: 10.17632/npt3fjdzt4
title: Skin substitutes for the treatment of chronic wounds in cancer patients: a retrospective case series

description: Supplemental Table 1. Additional patient and treatment data
DOI: 10.6084/m9.figshare.27852723.v1
title: Database: changes in shea processing 2010-2020 Ghana and Burkina Faso

description: Data was collected through a questionnaire survey conducted between March and June 2021 across 24 communities in Ghana and Burkina Faso. These communities were selected using a random stratification method to represent four distinct agroecological zones that varied in terms of aridity levels, and different proximity to paved roads, regional trade markets, and affiliations with large Transnational Corporations in the Cocoa Butter Equivalent industry. The survey covered the following aspects: A) background information about the respondent and their household, B) shea nut processing methods (i.e., the depulping, treating, drying, and cracking techniques), C) use of shea nuts (nut trade, butter production, use of shea butter), D) Network relations and knowledge transmission. Sections B and C of the survey focused on the season of 2020-2021 and included a recall period of 10 years (2010-2020) to assess changes and reasons behind them. Within each household, respondents were randomly selected from the list of individuals involved in shea collection.