cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7ppxs2fjgx
title: Polish Managers Survey on Big Data Adoption

description: This research aims to assess the readiness of Polish firms to implement advanced analytics and big data in order to achieve a lasting competitive advantage. Therefore, the research questions for investigation are: (1) Do managers understand the term “big data”; (2) are they aware of big data analytical potential and its possible advantages; (3) how are companies prepared to make use of big data analytics (do they see any obstacles to implement BDA). The findings outlined in the report are derived from a study carried out in June 2024, employing the quantitative research methodology. The data gathering strategy included online CAWI (Computer-Assisted Web Interview) and encompassed a purposefully selected sample of 300 Polish managers. The primary findings of the research indicate that managers require a roadmap to facilitate their adoption of sophisticated big data analytics. Furthermore, the transient nature of big data, as well as the prominent influence of the time element in the features and analytics of BD, is clearly evident in the thoughts of the respondents.
DOI: 10.17632/7vnb3s5myv
title: Verification Of The Delta Robot Position With Forward And Inverse Kinematic Calculations Through Simulation And Test - Supplementary Data

description: This additional dataset is part of the article "Verification Of The Delta Robot Position With Forward And Inverse Kinematic Calculations Through Simulation And Test" and contains forward and inverse interactive calculation sheets for offset and 3-RSS Delta robots. The interactive calculation sheet is in SMath and the evaluation tables of the test results are provided in Excel. SMath is a free math program with a WYSIWYG editor. The purpose of these files is to verify what has been published, to save time for future work and to facilitate the testing phases.
DOI: 10.6084/m9.figshare.20362896.v3
title: axivity-ax6-ankle

description: 6-axis actigraphic recordings for an infant boy, from 3 weeks-old to ... , worn 24/7. <br> The Axivity AX6 actigraphic device was attached on the ankle, alternatively on the right or left every other weeks to balance the weight equitably on both legs muscles and favor a balanced muscles growth. The attachment system involved a mix of velcro and pressure fasteners on a felt band, see the Wearadian For Infants documentation: <br> https://circadiaware.github.io/wearadian/docs/Wearadian.html#wearadian-for-infants
DOI: 10.6084/m9.figshare.26403781.v1
title: Bayesian Belief Network file for the study "Forest biodiversity and structure modulate human health benefits and risks".

description: This file accompanies our study on the effects of forest biodiversity on human health. The file is a '.neta' file, meaning it should explored and analysed using the software Netica (Norsys Software Corporation 1998).
DOI: 10.17632/3z6k2r3rmd
title: Adults´ wellbeing during COVID-19 - data from Colombia

description: This data set presents information about the consequences of COVID-19 pandemic on mental health and subjective wellbeing for adults in Colombia
DOI: 10.17632/xhx3gzpj6n
title: AFiD-Darcy: A finite difference solver for numerical simulations of convective porous media flows

description: We present an efficient solver for massively-parallel simulations of convective, wall-bounded and incompressible porous media flows. The algorithm consists of a second-order finite-difference pressure-correction scheme, allowing the use of an efficient FFT-based solver in problems with different boundary conditions. The parallelization method is implemented in a two-dimensional pencil-like domain decomposition, which enables efficient parallel large-scale simulations. The original version of the code presented by van der Poel et al. (2015) [35] has been modified to solve the Darcy equation for the momentum transport, representative of porous media flows driven by buoyancy. Two schemes are implemented to treat the diffusive term of the advection-diffusion equation, namely a fully implicit and semi-implicit formulation. Despite exhibiting a higher computational cost per time step, the fully implicit scheme allows an efficient simulation of transient flows, leading to a smaller time-to-solution compared to the semi-implicit scheme. The implementation was verified against different canonical flows, and the computational performance was examined. To show the code's capabilities, the maximal driving strength explored has been doubled as compared to state-of-art simulations, corresponding to an increase of the associated computational effort of about 8 to 16 times. Excellent strong scaling performance is demonstrated for both schemes developed and for domains with more than 10^10 spatial degrees of freedom.
DOI: 10.17632/z55yrbmn2d
title: Image Dataset for Disease Detection in Black Gram (Vigna mungo) Leaves: A Resource for Machine Learning Research

description: This dataset presents a curated collection of images of Black Gram (Vigna mungo) leaves, annotated with labels for healthy leaves and various common diseases. Created to support the advancement of machine learning and computer vision models in agricultural disease detection, this dataset is valuable for researchers and practitioners working in botany, plant pathology, agriculture, and artificial intelligence. The dataset is designed to reflect real-world agricultural conditions, providing a robust foundation for developing disease detection and classification models that can aid in crop health monitoring and management.

Dataset Content: The dataset includes a total of 4,038 images representing healthy leaves and five distinct disease categories. Each category offers a range of visual variations, including different background conditions, lighting, and severity of disease symptoms, ensuring comprehensive data diversity. This resource can be used for training, testing, and validating machine learning models for image-based disease classification and detection tasks. The dataset is organized as follows:

Healthy: 545 images
Cercospora leaf spot: 598 images
Leaf Crinkle: 806 images
Insect: 408 images
Yellow Mosaic: 1,681 images

Purpose: The primary aim of this dataset is to facilitate the development of machine learning models that can accurately detect and classify diseases in Black Gram leaves, supporting early diagnosis and promoting effective crop management strategies. This dataset serves as a resource for improving automated plant disease diagnosis, contributing to agricultural sustainability and food security.
DOI: 10.6084/m9.figshare.16583387.v1
title: Dataset of Solution-based Inorganic Materials Synthesis Recipes Extracted from the Scientific Literature

description: In this work, we applied advanced machine learning and natural language processing techniques to construct a dataset of 35,675 solution-based synthesis ``recipes'' extracted from the scientific literature. Each recipe contains essential synthesis information including the precursors and target materials, their quantities, and the synthesis actions and corresponding attributes. Every recipe is also augmented with the reaction formula. Through this work, we are making freely available the first large dataset of solution-based inorganic materials synthesis recipes.
DOI: 10.6084/m9.figshare.21789326.v1
title: Supplementary Material for: RIDGE REGRESSION FOR FUNCTIONAL FORM IDENTIFICATION OF CONTINUOUS PREDICTORS OF CLINICAL OUTCOMES IN GLOMERULAR DISEASE

description: Penalized regression models can be used to identify and rank risk factors for poor quality of life or other outcomes. They often assume linear covariate associations, but the true associations may be nonlinear. There is no standard, automated method for determining optimal functional forms (shapes of relationships) between predictors and the outcome in high-dimensional data settings. We propose a novel algorithm, Ridge regression for functional form Identification of continuous PRedictors (RIPR), that models each continuous covariate with linear, quadratic, quartile, and cubic spline basis components in a ridge regression model to capture potential nonlinear relationships between continuous predictors and outcomes. We used a simulation study to test the performance of RIPR compared to standard and spline ridge regression models. Then, we applied RIPR to identify top predictors of Patient-Reported Outcomes Measurement Information System (PROMIS) adult global mental and physical health scores using demographic and clinical characteristics among N=107 glomerular disease patients enrolled in the Nephrotic Syndrome Study Network (NEPTUNE). RIPR resulted in better predictive accuracy than the standard and spline ridge regression methods in 56-80% of simulation repetitions under a variety of data characteristics. When applied to PROMIS scores in NEPTUNE, RIPR resulted in the lowest error for predicting physical scores, and the second-lowest error for mental scores. Further, RIPR identified hemoglobin quartiles as an important predictor of physical health that was missed by the other models. The RIPR algorithm can capture nonlinear functional forms of predictors that are missed by standard ridge regression models. The top predictors of PROMIS scores vary greatly across methods. RIPR should be considered alongside other machine learning models in the prediction of patient-reported outcomes and other continuous outcomes.
DOI: 10.6084/m9.figshare.28643678.v1
title: Replication package for "Measuring trade costs and analyzing the determinants of trade growth between Cambodia and major trading partners: 1993-2019"

description: <b>Background: </b>Like in many other least-developed countries (LDCs), high trade costs have long been a major barrier to Cambodia's trade integration. Despite their practical significance and increasing policy attention in the country, little is known about these costs.<b>Purpose: </b>This study aims to measure Cambodia's trade costs and explore the driving forces behind the growth of its bilateral trade.<b>Methodology:</b> A micro-founded measure of trade costs introduced by Novy (2013) is employed to quantify the bilateral trade costs between Cambodia and its top 30 trading partners from 1993 to 2019.<b>Originality/value: </b>This study contributes to the literature on Cambodia’s trade costs, which has received limited attention. This research work is the first to provide a comprehensive measure of trade costs, including a wide range of barriers, such as tariffs, transportation costs, border-related costs, infrastructure inefficiencies, and other factors impeding Cambodia's bilateral trade flows.<b>Key findings: </b>We find that Cambodia's average trade costs decreased by 35.43% between 1993 and 2019. Fluctuations in average trade costs persisted until 2014, despite Cambodia's accession to the World Trade Organization (WTO) in 2004. Since then, these costs have declined more rapidly. Cambodia's bilateral trade costs are lower with its major trading partners in Southeast Asia and East Asia than with those in South Asia, Oceania, Europe, and North America. Cambodia's average trade costs with developing and emerging economies are lower than those with developed economies. Between 2014 and 2019, Cambodia experienced a notable decline in average trade costs with trading partners along the Belt and Road Initiative (BRI) corridors by 34.78%, twice as fast as with non-BRI trading partners. Regarding the decomposition of trade growth, we find that the expansion of Cambodian trade from 1993 to 2019 was driven by three factors: the rise in income (59.65%), the decline in trade costs (56.69%), and the decline in multilateral resistance (-16.34%).<b>Research implications and recommendations: </b>The findings of this study have significant implications for a better understanding of Cambodia's development toward global trade integration over the past two decades. Our results suggest that Cambodia can optimize its trade expansion potential by focusing on its relations with trading partners exhibiting high economic growth potential and those achieving substantial reductions in trade costs.
DOI: 10.6084/m9.figshare.28660880.v1
title: Dataset for manuscript "Mitigating Erosion and Clogging in Weakly Consolidated Sandstone Reservoirs through Microbial-Induced Carbonate Precipitation: A Microfluidic Study"

description: This dataset originates from microfluidic experiments designed to evaluate the effectiveness of Microbially Induced Carbonate Precipitation (MICP) in reinforcing weakly consolidated sandstone reservoirs. The experiments simulate geological CO<sub>2</sub> storage conditions and investigate the interactions among biomineralization, sand migration, and acidic dissolution. Key findings highlight MICP’s role in enhancing erosion resistance through cementation, buffering acidic dissolution effects, and regulating clogging dynamics. The dataset provides quantitative insights into MICP-induced structural stabilization, offering a basis for optimizing reservoir integrity and injectivity in CO<sub>2</sub> storage applications.
DOI: 10.6084/m9.figshare.3523667.v1
title: Supplement 1. The WinBUGS code for analysis of movement paths.

description: File List singlet.txt WinBUGS code for model "Single", a single Random Walk. Size 2 KB double.txt WinBUGS code for model "Double", two Random Walks. Size 2 KB double_covar.txt WinBUGS code for model "Double with Covariates". Size 3 KB double_switch.txt WinBUGS code for model "Double Switch". Size 3 KB switch_covar.txt WinBUGS code for model "Switch with Covariates". Size 3 KB switch_constrained.txt WinBUGS code for model "Switch Constrained". Size 3 KB triple_switch.txt WinBUGS code for model "Triple Switch". Size 2 KB HierSwitch.txt WinBUGS code for hierarchical version of Switch model. Size 3 KB simulasw.m Matlab code for movement simulation. Size 5 KB PPcheck.m Matlab code for posterior predictive check. Size 7 KB elk_data.txt Movement data for four elk. Size 87 KB simulated.txt Movement data simulated with simulasw.m. Size 46 KB allfiles.zip All files together. Size 58 KB DescriptionWinBUGS code was run on version 1.4 available at http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/contents.shtml. We use the following generic script:<br> display('log')<br> check('directory/model_name.txt')<br> data('directory/data_file.txt')<br> compile(4)<br> inits(1, 'directory/filename1_ini.txt')<br> inits(2, 'switch/filename2_ini.txt')<br> inits(3, 'switch/filename3_ini.txt')<br> inits(4, 'switch/filename4_ini.txt')<br> gen.inits()<br> set(parameter_names)<br> over.relax('yes')<br> update(50000)<br> stats(*)<br> quantiles(*)<br> coda(*,switch/output)<br> <br> See the WinBUGS manual for details on how to run the analysis. Matlab code was run on student version 6.5.
DOI: 10.6084/m9.figshare.5039237.v1
title: Appendix C2: Data for functional response analysis from Impact of wild prey availability on livestock predation by snow leopards

description: Includes necessary data for the functional response analysis
DOI: 10.17632/2m6yxvr23h
title: Malnutrition and outcomes in cardiac surgery

description: The aim of this study was to investigate the relationship between malnutrition and long-term survival in patients that underwent cardiopulmonary bypass (CPB). The principal question was to assess how the malnutrition contributes to the risk of postoperative mortality in cardiac patients. Materials and Methods. This study analyzed the long-term survival data of mixed cohort of 1187 cardiac patients previously enrolled in a prospective observational study of nutritional screening in cardiac surgery (NCT01366807). Patients were screened using four nutritional screening tools: Nutritional Risk Screening 2002 (NRS-2002), the Malnutrition Universal Screening Tool (MUST), the Mini Nutritional Assessment (MNA), and the Short Nutritional Assessment Questionnaire (SNAQ), Nutritional status was assessed using the Subjective Global Assessment. In total, 449 (37.8%) patients were lost to follow-up after hospitalization, while for the remaining participants, the overall 8-year survival was 68% [95% confidence interval (CI), 59–76] and 77% [95% CI, 73–80] (log-rank, p=0.12) in patients with and without malnutrition risk, respectively. Statistically significant differences in survival were found during the 3-year follow-up of patients with HVD: 83% [95% CI, 74–92] with malnutrition vs. 93% [95% CI, 90–96] without malnutrition (log-rank, p=0.03). The final multivariate Cox regression model revealed logistic EuroSCORE (hazard ratio (HR) 1.337, 95% CI 1.110–1.612), CPB time&lt;110.5 minutes (HR 0.463, 95% CI 0.255–0.842), preoperative albumin (HR 0.799, 95% CI 0.691–0.924), and C-reactive protein (HR 1.106, 95% CI 1.018–1.202) as independent predictors of 3-year survival: In conclusion, preoperative malnutrition is not associated with 8-year mortality in mixed cardiac surgery cohort. However, it may be associated with a worse 3-year outcomes in patients with HVD. These data are the first reflecting the relationship between malnutrition and long term outcome among cardiac patients and may be useful for researchers, conducting studies on nutrition in cardiology for sample size calculation and estimation of clinically relevant end points in future.
DOI: 10.17632/sffmtfmhwp
title: Data and code for "Discovering zero-covariance-portfolio curves for capital asset pricing models of multiple-objective portfolio selection"

description: The data and code
DOI: 10.6084/m9.figshare.25708821.v1
title: Variants in Peredibacter ZHJ-2-198V

description: The data represent the variant bases identified in Peredibacter ZHJ-2-198V 's genome when its raw reads were mapped with SNIPPY against Peredibacter starrii A3.12.
DOI: 10.6084/m9.figshare.28374188.v1
title: 亚热带上升流系统中的自下而上控制和浮游植物演替

description: 诊断上升流系统是由自下而上还是自上而下的控制来控制，对于了解海洋生态系统的生产力和营养相互作用至关重要。虽然温带上升流系统被广泛研究并且通常以自下而上的控制为特征，但由于其独特的物理和生物地球化学动力学，亚热带上升流系统的主要调节机制仍然不确定。本研究调查了南海西北部琼东上升流系统，旨在阐明不同上升流阶段浮游植物生物量、群落组成和营养相互作用的驱动因素。2023 年夏季连续进行的三次调查揭示了水文参数、养分可用性和生物群落的显着空间和时间差异。营养物质可用性与上升流强度密切相关，始终支持浮游植物和中浮游动物生物量的增加，表明自下而上的控制在该系统中起主导作用。浮游植物群落组成表现出明显的演替模式：<i>原绿球菌</i>在上升流的早期阶段占主导地位，由垂直混合驱动，将其从营养贫乏的地下水输送到地表，在那里它利用还原氮的能力提供了竞争优势。随着上升流的加剧，硅藻盛行，硝酸盐可用性增加和湍流混合支持。这种连续性突出了物理和化学过程如何相互作用以塑造浮游植物的动态。此外，隐生植物和磷生植物等次要类群增强了群落多样性，并有助于在波动的环境条件下保持生态系统稳定。 这些发现突出了琼东上升流系统是一个由营养驱动过程支配的高产亚热带生态系统，为调节此类系统的机制及其对环境变化的潜在响应提供了重要见解。
DOI: 10.6084/m9.figshare.3568734.v1
title: Supplement 1. Detailed worked tutorials of analyses performed in this paper, including R code for mixed effects models and example data.

description: File List S1_tutorial.pdf (MD5: b9ce89e5e69463afbfc055a2943824e6) -- worked examples for the analysis of growth variation within and among individuals and populations S2_R_code.txt (MD5: 6028e6cddbdf1473a4eef0faa8bd310a) -- R code to perform analyses in S1 S3_within_zone_example_data.csv (MD5: ab86c1dd8ca7bcd2115f23a14b746bd8) -- within-zone fish growth data S4_among_zone_example_data.csv (MD5: d601bea4192d1f1c4c513fac34e39306) -- among-zone fish growth data S5_example_temperature.csv (MD5: f7ae18b64af07ec4b4d7ff94966bbf46) -- temperature data used in among-zone analyses Description These supplements are designed to assist the reader to implement hierarchical growth models using the statistical software R. The first supplement (S1_tutorial.pdf) provides detailed model descriptions, formulations and analytical steps used in the paper, complementing models presented in Table 3. The second supplement (S2_R_code.txt) provides executable R code for analyses in S1. The third, fourth, and fifth supplements (S3_within_zone_example_data.csv, S4_among_zone_example_data.csv, and S5_example_temperature.csv) are example data sets. Our analyses rely heavily on the R packages lme4, AICcmodavg, effects, lattice and plyr, all available on the comprehensive R archive network (CRAN; cran.r-project.org). Each row in S3_within_zone_example_data.csv and S4_among_zone_example_data.csv represents a measurement of growth in mm (Increment). These observations are associated with an Age (in years) and belong to a fish (FishID) of a given sex (M or F). Each fish has an age-at-capture (ACC, in years). Associated with each Increment is its year of deposition (Year) and the annual bottom temperature (Temp) experienced by the individual at this time. In addition, the S4_among_zone_example_data.csv and S5_example_temperature.csv files contain a variable called zone that assigns each fish to a fictitious fishing area. See Table 2 for additional descriptions of these parameters.
DOI: 10.6084/m9.figshare.5126614.v1
title: Supplementary Material for: Oligophrenin-1 Is Associated with Cell Adhesion and Migration in Prostate Cancer

description: <b><i>Objective:</i></b> We performed <i>Escherichia coli</i> ampicillin secretion trap (CAST) analysis in prostate cancer (PCa) to identify novel biomarkers. We show here that <i>OPHN1</i>, which encodes oligophrenin-1 protein, is upregulated in PCa. <i>OPHN1</i> was first determined to be one of the genes associated with X-linked mental retardation; however, neither the gene's function nor the link between its expression and survival of patients has been investigated. <b><i>Methods:</i></b> We investigate the expression of oligophrenin-1 in 141 PCa tissue samples by immunohistochemistry and perform functional analysis using RNA interference. <b><i>Results:</i></b> Immunohistochemical analysis of oligophrenin-1 demonstrated that 60 (43%) PCa cases were positive for oligophrenin-1. Positive oligophrenin-1 expression was significantly correlated with a high Gleason score (p = 0.0198). Furthermore, patients with oligophrenin-1-positive PCa had a worse biochemical recurrence-free survival rate than patients with oligophrenin-1-negative PCa (p = 0.0079). Cell adhesion to fibronectin was significantly reduced in <i>OPHN1</i> small interfering (si)RNA-transfected LNCaP and PC3 cells in comparison to negative-control siRNA-transfected cells. Knockdown of <i>OPHN1</i> reduced the expression of <i>ITGA5 </i>and stress fiber formation in LNCaP and PC3 cells. <b><i>Conclusion:</i></b> These results suggest that oligophrenin-1 is involved in tumor progression in PCa.
DOI: 10.17632/nrb7nfddk6
title: Data for: Tree species richness and diversity predicts the magnitude of urban heat island mitigation effects of greenspaces

description: The appendix reported the location, size and plots of 15 investigated greenspaces, also including the investigation result of tree biodiversity and the amount of each trees species in the greenspaces.
DOI: 10.4121/14673813.v2
title: Research Data - Business Data Sharing through Data Marketplaces

description: This dataset contains information about all publications collected from the Scopus database using the keywords of (“data market*”) and (“data marketplace*”). The dataset was extracted on 6 July 2020. The dataset is a supplementary document of the article entitled “Business Data Sharing through Data Marketplaces: A Systematic Literature Review”. The dataset contains nine sheets.
DOI: 10.6084/m9.figshare.16610446.v1
title: mod_frame1.rds

description: RDS file used for supplementary data in Nat Plants (loads full site-variety-year database with some QC)<br>