cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fjzb9pmrxf
title: Datasets on Arsenic and Cadmium Contamination in Nigerian Domestic Water

description: This dataset is a compilation of information on the presence of arsenic and cadmium in Nigerian drinking water sources. Arsenic and cadmium are classified as group 1 carcinogens, which pose serious health risks to the public. The data presented were compiled from the review of research articles published between 2010 and 2023 on Nigerian domestic water sources such as groundwater (hand-dug wells, machine wells, and boreholes) and surface water (rivers, streams, and lakes). The sources of the heavy metals were traced to anthropogenic activities and geogenic sources. The anthropogenic activities that give rise to arsenic and cadmium in drinking water sources include industrial waste discharge into the environment, fertilizer applications, and mining. The geogenic causes of arsenic and cadmium in domestic water sources refer to the natural deposits in soils and stream sediments. The study showed that anthropogenic activities accounted for 61% and 68% of arsenic and cadmium pollution in drinking water, respectively, while the remaining cases were attributed to geogenic causes. Some of the studies linked arsenic and cadmium contamination to chronic illnesses such as kidney failures, liver sclerosis, and central nervous problems in Nigeria. This data is important for understanding arsenic and cadmium's pathways, transport processes, and fate. The data can be used by researchers to understand patterns and trends in water contamination. It can also be used by policymakers and health professionals to plan the necessary interventions to remediate the problem. Furthermore, this data can guide the much-needed epidemiological studies to determine the areas where the problem is prevalent and to link the reports of ailments in the affected areas to water contamination by arsenic and cadmium.
DOI: 10.17632/nfxr9s8rd8
title: Data for: Noise Comparison of Triple Frequency GNSS Carrier Phase, Doppler and Pseudorange Observables

description: Raw RINEX file and the individual observables for each satellite considered in the paper. RINEX data created from the data file freely available at the Curtin GNSS Research Centre at Curtin University. http://saegnss2.curtin.edu.au/ldc/
DOI: 10.6084/m9.figshare.19920434.v1
title: Supplementary Material for: EMT-Related Gene Signature: A New Method for Personalized Risk Assessment in Patients with Hepatocellular Carcinoma

description: Background: Hepatocellular carcinoma (HCC) is the fourth-leading cause of cancer-related death worldwide, accounting for more than 700,000 deaths annually. Epithelial–mesenchymal transition (EMT) is posited to contribute to HCC progression. We therefore aimed to elucidate the relationship between EMT-related gene (ERG) expression and prognosis in patients with HCC. Methods: Univariate and multivariate Cox regression analyses were performed to identify prognostic-related differentially expressed EMT-related genes (DE-ERGs). Time‑dependent receiver operating characteristic (ROC) and Kaplan–Meier curves were used to assess the prognostic performance of the EMT-related signature. pRRophetic R package was used to evaluate sorafenib sensitivity in the GSE14520 cohort. Gene expression in Huh7 and L02 cell lines was detected by real-time PCR and western blotting. Differential expression of the three genes between HCC tissues and normal tissues was validated using immunohistochemical analyses. Results: Of the 76 identified DE-ERGs, 29 were associated with overall survival. Three prognosis-related ERGs (GOLM1, SOX4 and CD14) were screened out by multivariate Cox regression. A gene signature was identified based on the three prognostic related ERGs. HCC patients with a low-risk score had a better prognosis and were more sensitive to sorafenib compared to those with a high-risk score. Moreover, we further confirmed increased expression of GOLM1 and SOX4, and decreased expression of CD14, in liver cancer cell line and HCC tissue. Conclusions: The results of the present study demonstrate the utility of an EMT-related gene signature as a potential biomarker informing prognosis in patients with HCC, which may contribute to the implementation of personalized therapies.
DOI: 10.17632/7s56h4bc7r
title: Replication Package for "The Role of Currencies in External Balance Sheets"

description: This replication package includes all the public data and STATA code files to reproduce the figures and tables presented in the main text and the appendix.
DOI: 10.6084/m9.figshare.24270667.v1
title: SymQEMU evaluation data

description: This dataset contains our evaluation results for SymQEMU.From the abstract of the paper (<i>SymQEMU: Compilation-based symbolic execution for binaries</i>, Poeplau and Francillon, NDSS 2021): SymQEMU, builds on top of QEMU, modifying the intermediate representation of the target program before translating it to the host architecture. This enables SymQEMU to compile symbolic-execution capabilities into binaries and reap the associated performance benefits while maintaining architecture independence.
DOI: 10.6084/m9.figshare.24808338.v1
title: Data on consumer view on organic animal farming form 2022

description: A mainly positive attitude of consumers towards organic animal husbandry with its higher keeping standards compared to the legal regulations is evident. However, less is known about consumers’ detailed expectations of organic husbandry and in particular their attitude and trust along the value chain of organic animal products. Which consumers trust the most, and how do they want to be informed about organic animal husbandry? Where along the chain are trust deficits that should be addressed in the future to support sustainable food consumption with high animal welfare standards? To answer these important questions a survey was conducted among 729 German meat consumers. Using a cluster analysis, various consumer groups were identified based on their trust levels. Further, these groups were characterized regarding their general attitude, their information behavior, their evaluation of current media reporting, and their preferred way to be informed (emotional/rational) about organic animal products. The results revealed three clusters that clearly differ in their trust level of organic husbandry. Respondents assigned to the first cluster are committed organic consumers with high trust and the most positive attitude. The second cluster, combines respondents who are generally open to organic meat consumption and showing the second highest trust level and positive attitude towards organic. They show a slight favor for a more rational presentation of information. The third cluster is the smallest and can be described as the skeptics with a low interest in organic. The results indicate a general moderate to high trust level along the value chain of organic animal products, with the highest trust in organic retailers and farmers and the least trust in processing and conventional retailers. These are important insights for the organic sector in order to improve consumer trust and therewith increase the market share of organic meat products.
DOI: 10.6084/m9.figshare.24884136.v1
title: R notebook of code used for analyses from What you have, not who you know: food-enhanced social capital and changes in social behavioural relationships in a non-human primate

description: Social network position in non-human primates has far-reaching fitness consequences. Critically, social networks are both heterogeneous and dynamic, meaning an individual's current network position is likely to change due to both intrinsic and extrinsic factors. However, our understanding of the drivers of changes in social network position is largely confined to opportunistic studies. Experimental research on the consequences of <i>in situ,</i> controlled network perturbations is limited. Here we conducted a food-based experiment in rhesus macaques to assess whether allowing an individual the ability to provide high-quality food to her group changed her social behavioural relationships. We considered both her social network position across five behavioural networks, as well as her dominance and kin interactions. We found that gaining control over a preferential food resource had far-reaching social consequences. There was an increase in both submission and aggression centrality and changes in the socio-demographic characteristics of her agonistic interaction partners. Further, we found that her grooming balance shifted in her favour as she received more grooming than she gave. Together, these results provide a novel, preliminary insight into how <i>in situ</i>, experimental manipulations can modify social network position and point to broader network-level shifts in both social capital and social power.
DOI: 10.6084/m9.figshare.28477115.v1
title: Pappo_CoffeeCarbon_MainData.csv

description: This dataset was used for a meta-analysis of carbon stocks in coffee agroforestry systems.
DOI: 10.6084/m9.figshare.3566589.v1
title: Appendix B. Correlation between environmental variables and abundance-weighted mean plot value for plant functional traits.

description: Correlation between environmental variables and abundance-weighted mean plot value for plant functional traits.
DOI: 10.6084/m9.figshare.8216291.v2
title: Choanoeca flexa transcriptome and predicted nonredundant proteome

description: Assembled transcriptome, and predicted non-redundant proteins it encodes, for the choanoflagellate Choanoeca flexa.<br>
DOI: 10.17632/7swv73drgr
title: Digiteo_seq1

description: This dataset was recorded with an intel® RealSense™ Depth Camera D435i. The dataset was recorded in the corridors of the laboratory Digiteo bât 660. This dataset has three acquisition modes: IR-D, Passive-Stereo RGB-D and Stereo.
DOI: 10.17632/fy6mnvt7t7
title: The Personalised Acne Care Pathway - recommendations to guide longitudinal management from the Personalising Acne: Consensus of Experts

description: Supplementary information to: Tan J, et al. The Personalised Acne Care Pathway - recommendations to guide longitudinal management from the Personalising Acne: Consensus of Experts.
DOI: 10.17632/vbf37kvrkr
title: Optimization of the thermal pretreatment process for high lignin recovery from coconut husk by response surface methodology (RSM)

description: In this study, the influence of low nitric acid concentration, temperature, and residue time on lignin recovery from coconut husk using a thermal pretreatment process under optimal conditions is investigated along with the optimum conditions for lignin recovery using the RSM response surface methodology. Results after statistical analysis of independent variables such as nitric acid concentration, temperature, and time show that these parameters had a significant impact on lignin recovery. Analysis with ANOVA reveals that all model and independent parameters were statistically significant at the 95% confidence level. With respect to results in the current study, the highest lignin recovery yield was shown to be 85.31%; this was obtained from coconut under optimal conditions at low nitric acid concentration of 0.010 M and a temperature of 200 °C for 30 min. ln addition, scanning electron microscope (SEM) analysis showed the crystalline cellulose present in the coconut husk was all converted to an amorphous form during the thermal pretreatment process. Meanwhile, the crystallinity index of solid residue after thermal pretreatment showed a significant increase in crystallinity index of 76.65% from native coconut husk (64.12%). However, the recovered lignin is used as a precursor to convert into high-value products. Therefore, a thermal pretreatment process is very important to make the chemical conversion process more efficient.
DOI: 10.6084/m9.figshare.1367413.v1
title: COMPARTMENTS v1 (human, predictions)

description: This file constitutes the predictions channel on human proteins for the last version of the COMPARTMENTS database to use STRING v9 protein identifiers.
DOI: 10.6084/m9.figshare.25884703.v1
title: Flowers.2016.csv

description: Flowers data set
DOI: 10.6084/m9.figshare.27282459.v1
title: Performance of phenomic selection in rice: effects of population size and genotype environment interactions on predictive ability

description: Phenomic prediction (PP), a novel approach utilizing Near Infrared Spectroscopy (NIRS) data, offers an alternative to genomic prediction (GP) for breeding applications. In PP, a hyperspectral relationship matrix replaces the genomic relationship matrix, potentially capturing both additive and non-additive genetic effects. While PP boasts advantages in cost and throughput compared to GP, the factors influencing its accuracy remain unclear and need to be defined. This study investigated the impact of various factors, namely the training population size, the multi-environment information integration, and the incorporations of genotype x environment (GxE) effects, on PP compared to GP. We evaluated the prediction accuracies for several agronomically important traits (days to flowering, plant height, yield, harvest index, thousand-grain weight, and grain nitrogen content) in a rice diversity panel grown in four distinct environments. Training population size and GxE effects inclusion had minimal influence on PP accuracy. The key factor impacting the accuracy of PP was the number of environments included. Using data from a single environment, GP generally outperformed PP. However, with data from multiple environments, using genotypic random effect and relationship matrix per environment, PP achieved comparable accuracies to GP. Combining PP and GP information did not significantly improve predictions compared to the best model using a single source of information (e.g., average predictive ability of GP, PP, and combined GP and PP for grain yield were of 0.44, 0.42, and 0.44, respectively). Our findings suggest that PP can be as accurate as GP when all genotypes have at least one NIRS measurement, potentially offering significant advantages for rice breeding programs, reducing the breeding cycles and lowering program costs.
DOI: 10.6084/m9.figshare.28450025.v1
title: Supplementary information for "Demography, ecology and selection interact with species’ historical biogeography to shape intraspecific genetic variation in a Tibetan bird"

description: Elucidating the formation of intraspecific genetic variation remains challenging. A powerful but rarely-used approach is to decipher the drivers of demographic dynamics, habitat suitability and linked selection within the context of species’ historical biogeography. We did so using whole genome and fecundity data from 37 populations across the range of a Tibetan bird, the ground tit Pseudopodoces humilis. The spatial pattern of genetic diversity aligned with refugium, bottleneck and founder events experienced by different ground tit populations since the Quaternary glaciation. Contemporary habitat suitability promoted genetic diversity only in highly-isolated regions where populations experienced historical bottlenecks and fragmented habitats, but not in less-isolated regions where refugium and founder populations persisted, highlighting the role of gene flow in maintaining mutation-drift equilibrium. The genetic diversity of neutral loci coupled with fecundity-associated genes declined from refugium to founder populations along a gradient of increased environmental harshness. Our study reveals that present-day genetic diversity is deeply rooted in historical biogeography and offers a general framework for evaluating the macroevolution of intraspecific genetic variation.
DOI: 10.6084/m9.figshare.20001326.v4
title: BWD: Breathing Waveform Dataset

description: Breathing Waveform Dataset collected with FMCW radar <br> The data is available in “.csv” format with a data size of 85×26400. 85 columns corresponding to 85 windows which is approximately close to 5 seconds of measurement time. 26.400 correspond to the 26.400 data. The dataset consists of 26.400 data divided into five classes as labeled in csv file.
DOI: 10.6084/m9.figshare.27959529.v1
title: Diabetes Dataset

description: The file <code>diabetes_prediction_dataset.csv</code> includes medical and demographic information about patients, along with their diabetes status (positive or negative). It features various attributes such as age, gender, body mass index (BMI), hypertension, heart disease, smoking history, HbA1c levels, and blood glucose levels. This dataset can be used to develop machine learning models that predict a patient's likelihood of having diabetes based on their medical history and demographic characteristics.
DOI: 10.6084/m9.figshare.11659347.v3
title: Correlated evolution between the avian visual system and nest architecture

description: Nest architecture is central to avian life history evolution, and the degree to which visual acuity and sensitivity mediate nest construction, nest defense from invaders (including predators and parasites), and interactions with eggs and nestlings under variable lighting conditions remain poorly understood. Here, we use a comparative approach to reveal correlated evolution between eye size and nest architecture for 1662 species of terrestrial birds (order Passeriformes). After controlling for body mass allometry and known ecological predictors of relative eye size variation, such as habitat, foraging behavior, and diet, we assessed several hypotheses regarding the relationship between eye size and nesting behavior. Open cup and cavity nesters had the largest and smallest residual eye sizes, respectively, especially for metrics related to contrast sensitivity in dark environments. Specifically, forest specialists constructing open cups had the largest eyes, and habitat generalists constructing cavities and domes had the smallest eyes. Birds appeared to compensate for having smaller eyes that collect less light in dark nest conditions by producing relatively brighter eggshells and nestling gape coloration. Eye size was also positively correlated with intricate nest material stitching behaviors for species within the weaver songbird family (Ploceidae), revealing a previously undocumented relationship between nest construction and visual systems. In general, we provide evidence that avian eyes have evolved to enhance visual acuity and contrast sensitivity across a wide range of nest lighting conditions. Our results point towards the evolution of a pervasive set of interactions between the visual system and avian reproductive dynamics as mediated by nest architecture.The attached folder contains all datasets used to complete analysis. Please see the Read Me file for details and the R script for analyses.
DOI: 10.6084/m9.figshare.14417690.v1
title: C72_SC_raw_data

description: Single cell RNAseq of Healthy Human Liver Caudate lobe. Run on 10X Chromium and cellranger
DOI: 10.6084/m9.figshare.28581248.v1
title: <b>Integrated GWAS, Meta-Analysis, and Bayesian Fine Mapping Reveal Novel QTLs and Functional Candidate Genes for Vulva Traits in Large White Pigs</b>_pheno data

description: The reproductive performance of pigs is crucial for agricultural production, and the vulva traits of sows—such as length, width, and angle—directly impact breeding efficiency. For example, gilts with small or upward-tilted vulva are often culled, limiting the size and efficiency of breeding herds. To improve the retention rate of breeding females, we conducted this study to explore the key genes and genetic mechanisms underlying these traits using genomics. We collected data on vulva traits from 2,197 gilts across three Large White pig populations (from PIC, Topigs, and Canada) and used genome-wide association studies (GWAS) and meta-analysis techniques, combined with Bayesian fine mapping, to systematically identify genetic loci and candidate genes associated with these traits. Through these methods, we discovered several new significant loci and identified potential candidate genes such as <i>SDC2</i>, <i>MTERF3</i>, <i>VIP</i>, <i>POP1</i>, and <i>PSMA1</i> that may play important roles in regulating vulva traits. These findings provide new insights into the genetic mechanisms of reproductive traits in pigs and offer a vital molecular basis for future breeding programs. By using marker-assisted selection (MAS) or genomic selection (GS), we can more effectively improve vulva traits, thereby increasing the retention rate and productivity of breeding females. This not only enhances the economic benefits of pig farming but also improves animal welfare by reducing the culling of gilts due to reproductive issues.
DOI: 10.17632/8pn3hg99t4
title: Face Mask Wearing Image Dataset: Correct vs. Incorrect Usage

description: The Face Mask Wearing Image Dataset is a comprehensive collection of images focused on different types of face masks and their usage. This dataset has been meticulously organized and divided into two main folders: "Correct" and "Incorrect," representing instances of face masks being worn properly and improperly, respectively. Correct: This folder contains images of individuals wearing face masks correctly. It comprises four subfolders, each representing a specific type of face mask: Bandana: Images of individuals wearing bandana-style face masks correctly. Cotton: Images of individuals wearing cloth or cotton face masks correctly. N95: Images of individuals wearing N95 respirators correctly. Surgical: Images of individuals wearing surgical masks correctly. Incorrect: This folder contains images of individuals wearing face masks improperly. Like the "Correct" folder, it also comprises four subfolders corresponding to the different types of face masks: Bandana: Images of individuals wearing bandana-style face masks incorrectly. Cotton: Images of individuals wearing cloth or cotton face masks incorrectly. N95: Images of individuals wearing N95 respirators incorrectly. Surgical: Images of individuals wearing surgical masks incorrectly. Within each of the above subfolders, there are three additional subfolders based on gender: Child: Images of children wearing the specific type of face mask (correctly or incorrectly). Male: Images of males wearing the specific type of face mask (correctly or incorrectly). Female: Images of females wearing the specific type of face mask (correctly or incorrectly). The dataset is designed to cover a diverse range of scenarios and variations in face mask usage across different mask types, age groups, and genders. Total Images: The dataset contains a total of 24,916 images. Usage: The Face Mask Wearing Image Dataset can be used for various research purposes, such as developing and evaluating machine learning algorithms for face mask detection and classification. Researchers can utilize this dataset to train models that can identify and differentiate between correct and incorrect face mask usage, contributing to public health initiatives, and promoting proper mask-wearing behavior.