cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25605196.v1
title: Efficient power allocation for downlink MIMO-NOMA-based visible light communication systems

description: Visible light communication (VLC) networks are emerging as a viable option to meet the ever-growing wireless data demand, primarily for indoor environments in recent years. However, developing a high data rate VLC system using off-the-shelf light emitting diodes (LEDs) is difficult due to the narrow modulation bandwidth of the white light emitting diodes. The existing studies have integrated Multiple-Input Multiple-Output (MIMO) and Non-Orthogonal Multiple Access (NOMA) schemes into the downlink VLC system so as improve its performance. Despite its apparent advantages, the NOMA scheme suffers from multi-user interference problem. For an efficient NOMA scheme, which uses successive interference cancellation (SIC) technique to decode the superimposed received signal of multipleusers, adaptive and fair power allocation methods are required. The existing power allocation schemes are inefficient when the number of users increases. In this work, a low complexity and efficient power allocation strategy is proposed for MIMO-NOMA based VLC systems. The proposed parametric power allocation strategy is based on the order of channel gain among end-users and overcomes the limitations of the existing schemes. The performance of the proposed power allocation scheme in an indoor 4×4 MIMO-NOMA-based multi-user VLC was analyzed through simulation. A zero-forcing detection mechanism is used in the analysis. Simulation results using MATLAB depict the effectiveness of the proposed power allocation strategy. It achieves higher performance than the existing power allocation schemes, gain ratio power allocation (GRPA) and normalized gain difference power allocation (NGDPA) when the number of users are greater than two. Specifically, the proposed power allocation scheme improves the achievable sum rate of the NGDPA and GRPA schemes by 18.36% and 65.98%, respectively, in 4× 4 MIMO-based visible light communication networks with eight uniformly distributed users.
DOI: 10.6084/m9.figshare.28307060.v2
title: DNA methylation data

description: This data was generated as a result of research on the effects of meditation on DNA methylation in inflammation-related genes. This data is on the methylation of CXCL8, TNFa, IFNr, COX2, IL6 genes.
DOI: 10.6084/m9.figshare.7152560.v1
title: Motion Generation Synthesis for Four and Five Multiply Separated Position

description: This is Burmester center-point and circle-point curves for case V<sub>1</sub>A<sub>1</sub>J<sub>1</sub>S<sub>1</sub> (P<sub>1</sub>P<sub>2</sub>P<sub>3</sub>P<sub>4</sub>P<sub>5</sub>). All figures were plotted by Matlab.
DOI: 10.6084/m9.figshare.21840507.v1
title: Supplementary Material for: Urinary Biomarkers of Tubular Health and Risk for Kidney Function Decline or Mortality in Diabetes

description: Introduction: Diabetes is a leading cause of end-stage kidney disease (ESKD). Biomarkers of tubular health may prognosticate chronic kidney disease (CKD) progression beyond estimated glomerular filtration rate (eGFR) and urine albumin-to-creatinine ratio (UACR). Methods: We examined associations of five urinary biomarkers of tubular injury and repair (NGAL, KIM-1, IL-18, MCP-1, YKL-40) with kidney function decline (first occurrence of a decrease in eGFR≥30 ml/min/1.73 m2 if randomization eGFR≥60 or ≥50% if randomization eGFR&lt;60; ESKD) and all-cause mortality among 1,135 VA NEPHRON-D trial participants with baseline UACR ≥300 mg/g and available urine samples. Covariates included age, sex, race, BMI, systolic BP, HbA1c, treatment arm, eGFR, and UACR. In a subset of participants with 12-month samples (n=712), we evaluated associations of KIM-1, MCP-1, and YKL-40 change (from baseline to 12 months) with eGFR decline (from 12 months onwards). Results: At baseline, mean age was 65 years, mean eGFR was 56 ml/min/1.73 m2, and median UACR was 840 mg/g. Over a median of 2.2 years, 13% experienced kidney function decline and 9% died. In fully-adjusted models, the highest vs. lowest quartiles of MCP-1 and YKL-40 were associated with 2.18- and 1.76-fold higher risks of kidney function decline, respectively. One-year changes in KIM-1, MCP-1, and YKL-40 were not associated with subsequent eGFR decline. Higher baseline levels of NGAL, IL-18, MCP-1, and YKL-40 levels (per 2-fold higher) were independently associated with 10-40% higher risk of mortality. Discussion/Conclusion: Among Veterans with diabetes and CKD, urinary biomarkers of tubular health were associated with kidney function decline and mortality.
DOI: 10.6084/m9.figshare.19317815.v1
title: Dataset_Social Media Engagement.sav

description: The data stems from a survey study (online questionnaire) of HE students in Switzerland, conducted in 2019.<br>
DOI: 10.6084/m9.figshare.22057160.v2
title: ECOPICS_Mx Monolith earthworms

description: ECOPICS Project : Earthworm Survey 0.25 x 0.25 x 0.15m soil monolith. Field campaign October-November 2017 Last modification : May 2021 by Isabelle Barois Each soil monolith was hand sorted in the field to collect earthworms. Earthworm survey was done by Isabelle Barois and José Carlos Pimentel. Each monolith has a unique name made of : <strong>Altitudinal</strong> <strong>level</strong> : from 3400 to 4400 (every 200 m) <strong>Plot</strong> <strong>Number</strong> : from 1 to 30 <strong>Species</strong> <strong>names</strong>: Tree, <em>Pinus hartwegii</em>; Shrub,<em>Oxylobus arbutifolius/Chianolaena</em> <em>lavandulifolia</em> and; herb, <em>Lupinus monticola/Senecio roseus</em>. Morphological identification (Species level) by Carlos Fragoso, 2018 in Red de Ecología Funcional, INECOL, A.C., Xalapa. --------------------------------------------------------------------------------------------------------------------------------------------------- <em>0.25 x 0.25x 0.15m Earthworm survey sheet</em> : Contains the raw data : <strong>Earthworm density</strong> : number of individuals of each species in each monolith (ind/monolith) <strong>Earthworm biomass </strong>: mass of each species in each monolith (g/monolith) fixed in alcohol
DOI: 10.17632/g23ts8jjpp
title: Interaction of axonal Chondrolectin with Collagen XIXa1 is necessary for precise neuromuscular junction formation

description: Files containing the original western blotting and Coomassie gels. All the data relates to the following publication: Interaction of axonal Chondrolectin with Collagen XIXa1 is necessary for precise neuromuscular junction formation. Numbers in brackets refers to the main figures in text.
DOI: 10.17632/rxc695hj2k
title: Extended instance sets for the parallel serial-batch scheduling problem with incompatible job families, sequence-dependent setup times, and arbitrary sizes

description: The extended data set (UGWT) for the parallel serial-batch scheduling problem with incompatible job families, sequence-dependent setup times, and arbitrary sizes contains instances with up to 3,200 jobs and different types of setup times (symmetric Euclidean - SE, asymmetric Euclidean - AE, and arbitrary - AR). The instances are separated into three classes: small (S), large (L), and very large (XL).

Main characteristics of the small instances S: 
number of jobs n = 15, 30, or 60; number of machines m = 1, 3, 4, or 5; number of incompatible job families q= 3, 5, or 10; 

Main characteristics of the large instances L: 
number of jobs n = 100, 200, or 300; number of machines m = 1, 3, 4, 5, or 10; number of incompatible job families q= 3, 5, 10, or 20; 

Main characteristics of the large instances XL: 
number of jobs n = 800, 1,600, or 3,200; number of machines m = 5, 10, or 20; number of incompatible job families q= 10, 20, or 40; 

Further characteristics:
- The maximum batch capacity (bc) is set to 50 for all instances. 
- Capacity requirement scenarios defining job sizes: crs = CRS1 with [1, 12], CRS2 with [1, 25], CRS3 with [1, 50], or CRS4 with [13, 38].
- Job processing times and weights are drawn from discrete uniform distributions with the parameters [1, 100] and [1, 10]. 
- Distribution of jobs to families: jtfam = UD, discrete uniform distribution with {1,…, q} and jtfam = ND, normal distribution with the parameters q/2 and 0.2q (with discretization); 
Note that due to the assignment procedure, the actual number of families of an instance can be different from q (the q value used for instance generation is depicted in the filename, whereas the actual number of families is depicted within the files).
- Setup time type: st = SE, AE, or AR
- Setup time severity factor: eta = 0.25 or 0.75
- Tardiness factor: tf = 0.3 or 0.6 
- Due date range factor: rdd = 0.5 or 2.5

Because not all instance characteristics combinations are reasonable regarding batch capacity requirement scenarios, instance sets are restricted to those combinations with a sufficiently large, approximated number of batches per machine. Altogether, the three instance sets S, L, and XL contain 93,360 instances in total: |S|=22,320, |L|=57,600, and |XL|=13,440. 

All the scheduling relevant data is given within the files, whereby each file represents one problem instance. A unique identifier is given by the filename and also in the text file itself. In addition, best-known objective values (and computation times) for several solution methods are included. The last value of the folder names indicates the number of instances with the corresponding characteristics). 

More details on the instances can be found in "Learning-augmented heuristics for scheduling parallel serial-batch processing machines" (Computers & Operations Research,10.1016/j.cor.2022.106122).
DOI: 10.6084/m9.figshare.23635551.v1
title: LobsterPACTempSummaryData.xlsx

description: Raw data associated with the publication titled " Changes in temperature alters the toxicity of polycyclic aromatic compounds to American lobster (Homarus americanus) larvae". For further information contact the lead author.
DOI: 10.6084/m9.figshare.24168912.v1
title: Pairs of RF--dataset 1

description: Dataset that contains trials where we filmed freely swimming zebrafish pairs.
DOI: 10.6084/m9.figshare.27322446.v3
title: Raw Data

description: Improved detection limit in rapid detection of Porcine Circovirus type 3 by one-pot NGO-RPA-Cas12a assay
DOI: 10.6084/m9.figshare.14371922.v2
title: R Script to analyze and plot BNTI and RCbray data

description: R script used to analyze and visualize ecological modeling output (NTI, BNTI, and RCbray matrices and values), and create figures and SI figures within the manuscript.
DOI: 10.17632/cw9bdznphh
title: Green Sichuan pepper mechanics model support data

description: By observing the response of green pepper branches when subjected to forces, the relevant laws were summarised and, combined with knowledge of finite elements, a model was prepared that could be used in conjunction with finite element software.
DOI: 10.6084/m9.figshare.23650596.v4
title: Rank Strand Galaxy data files

description: Design, operation and service data for Galaxy stage lighting control system.
DOI: 10.25446/oxford.28202696.v3
title: Raster Event Data

description: The raster objects contain vulnerability, hazard, and exposure data for a set of past earthquake events, as described in the manuscript 'A Bayesian Approach for Earthquake Impact Modelling' (available at: https://arxiv.org/abs/2412.15791). They are split into the events used to train and test the model. The code used to generate the R objects is contained in https://github.com/hamishwp/ODDRIN. The objects are created using data from a range of sources, including:Global Data Lab: J. Smits and I. Permanyer. The Subnational Human Development Database. Scientific data, 6(1):1–15, 2019.Vs30: D. C. Heath, D. J. Wald, C. B. Worden, E. M. Thompson, and G. M. Smoczyk. A global hybrid VS 30 map with a topographic slope–based default and regional map insets. Earthquake Spectra, 36(3):1570–1584, 2020.Earthquake frequency: K. Johnson, M. Villani, K. Bayliss, C. Brooks, S. Chandrasekhar, T. Chartier, Y. Chen, J. Garcia-Pelaez, R. Gee, R. Styron, A. Rood, M. Simionato, and M. Pagani. Global Earthquake Model (GEM) seismic hazard map (version 2023.1 - June 2023). GEM https://doi.org/10.5281/zenodo.8409647, 2023.Income Inequality: F. Alvaredo, A. B. Atkinson, T. Piketty, and E. Saez. World Inequality Database, 2022. URL http://wid.world/data.Copernicus Building Damage Footprints: Copernicus Emergency Management Service. Copernicus emergency management service - mapping, 2012. URL https://emergency.copernicus.eu/mapping. The European Commission.UNITAR/UNOSAT Building Damage Footprints: UNITAR/UNOSAT. UNITAR’s Operational Satellite Applications Programme – UNOSAT, 2023. URL https://unosat.org/<br>products/.WorldPop Population: A. J. Tatem. WorldPop, open data for spatial demography. Scientific Data, 4(1):1–4, 2017. doi: 10.1038/sdata.2017.4.Bing Building Footprints: Microsoft. Global ML Building Footprints, 2022. URL https://github.com/microsoft/GlobalMLBuildingFootprints. Accessed:<br>2024-06-17.<br>Shakemap: D. J. Wald, B. C. Worden, V. Quitoriano, and K. L. Pankow. ShakeMap manual: Technical manual, user’s guide, and software guide. Technical Report 12-A1, United States Geological Survey, 2005.
DOI: 10.6084/m9.figshare.3753306.v2
title: Supplementary and Corrected Figures

description: Supplemental figures for "Commercial Crop Yields Reveal Strengths and Weaknesses for Organic Agriculture in the United States" http://dx.doi.org/10.1371/journal.pone.0161673
DOI: 10.6084/m9.figshare.c.3701953_d5.v1
title: Additional file 4: of Structural variability and niche differentiation in the rhizosphere and endosphere bacterial microbiome of field-grown poplar trees

description: Plant compartment effect on the individual bacterial phyla. Values represent average number of reads (±standard error) and relative read abundances (%) based on 15 biological replicates (rhizosphere soil and root samples) and 11 replicates (stem and leaf samples) after normalization to 2000 sequences. Normal distributions of the data were checked with the Shapiro–Wilk test and homoscedasticity of variances was analyzed using either Bartlett’s or the Fligner–Killeens test. The ANOVA model was [OTU] ~ compartment and included all four plant compartments followed by Tukey’s honest significant differences post hoc tests. Plant compartment effects show the overall ANOVA results: F(DFn, DFd) and P value. Significant differences at the 95% confidence interval (P
DOI: 10.17632/7jdtbdx2gp
title: Hippocampal sharp wave ripples underlie stress susceptibility

description: The dataset for a paper entitled "Hippocampal sharp wave ripples underlie stress susceptibility".
DOI: 10.17632/7vzzwzd8js
title: Mechanical behavior of construction and demolition waste-based geopolymers exposed to elevate temperatures

description: This dataset includes all data used for the preparation of the paper entitled "Mechanical behavior of construction and demolition waste-based geopolymers exposed to elevate temperatures" that has been submitted for publication in the Journal of Materials and Design.
The dataset includes data received through the measurements of the compressive strength, density and mass loss of two geopolymers produced from Construction and Demolition wastes, after their curing at 50 oC and their exposure to the high temperatures: 600, 800 and 1050 oC. It also includes data received from the thermal testing of these materials at high temperature compressive deformation (data were produced by the software related to the relevant equipment), as well as from the materials characterization after testing, according to the XRD and FTIR methods.
DOI: 10.6084/m9.figshare.26661523.v1
title: The Impact of ESG Strategies on Startups' Valuation

description: In light of recent societal demands, companies have needed to incorporate corporate governance mechanisms that encompass all their stakeholders in the value creation processes. Thus, Environmental, Social, and Governance (ESG) practices have been gaining widespread acceptance in the corporate world. However, little is known about the effects of ESG on the Valuation process of Startups. This study aims to fill this gap by conducting an online laboratory experiment in the United States with 300 professionals from the financial sector. When analyzing a Startup in the Agribusiness sector (AgroTech), the results indicate that good ESG practices have positive effects on external reputation perception, investor confidence in founders, growth projections, talent attraction and retention, and consequently, a higher Valuation for the Startup. These findings suggest that incorporating sustainable thinking into Startups' business models can generate considerable benefits for their survival.
DOI: 10.6084/m9.figshare.19755256.v1
title: Tommasi et al 2022 row data

description: The dataset contains information on sampling sites variables, plant pollinator interactions and pollination efficiency
DOI: 10.6084/m9.figshare.2570362.v1
title: Dating placentalia: morphological clocks fail to close the molecular-fossil gap

description: Puttick et al. 2016. Placentalia, morphological clock, tip-dating, Mammalia, molecular clock. Evolution.<br> Input files for divergence time estimation using MrBayes.
DOI: 10.6084/m9.figshare.5357470.v1
title: Symbol grounding without direct experience: Do words inherit sensorimotor activation from purely linguistic context?

description: Data sets and R scripts for the article "Symbol grounding without direct experience: Do words inherit sensorimotor activation from purely linguistic context?"<br><br>This file set contains two files for each of the five experiments reported in this article: One containing the learning phase data plus the test phase data (for test phase analyses), and one containing the learning phase data plus the questionnaire data from the explicit judgement task (for explicit judgement task analyses).<br><br>This file set additionally contains an R script for analyses of these data sets. <br>NOTE: Depending on the experiment that is analysed, the (generalized) linear mixed effect models might have to be adjusted in order if the parameter estimates do not converge!<br>
DOI: 10.6084/m9.figshare.7186076.v1
title: EFFECT OF FLUIDIZED-BED PROCESS VARIABLES ON CONTROLLED-RELEASE OF NITROGEN AND COATING

description: Abstract Pristine urea is lost due to ammonia volatilization and leaching causing toxic emissions and eutrophication. Controlled-release urea is employed as an abatement strategy. Most of the synthetic polymers used to produce controlled-release urea are non-biodegradable and expensive. To offset this problem, modified-starch biopolymer is used as coating material to produce controlled-release urea in fluidized bed. The effect of different process variables is studied on release characteristics and coating uniformity of coated urea. The product has better release characteristics. The statistical analysis reveals that fluidizing gas temperature and coating time are the most influential variables. The nutrient release time increases with increase in coating time and decreases with increase in fluidizing gas temperature beyond a certain limit. Coating uniformity, significant thickness and film integrity are required for promising release characteristics. Urea release followed non-Fickian diffusion and Case-II transport. This study can help produce green fertilizer at bigger scale.
DOI: 10.17632/s4k84ccxww
title: Research data supporting "Toward automatic analysis of random monolayers: The effect of pair correlation". B-spline representations of total correlation function.

description: The files contain knots and coefficients of fourth order (cubic) B-spline representations approximating total correlation functions.
We calculated the functions for the classical 2D RSA systems at five values of surface coverage. First, using the model, we produced hard-disk monolayers of surface coverage: 0.1, 0.2, 0.3, 0.4, and 0.5. For each coverage, we generated 20 replicas of a big system with the square simulation area As = 1E8 Ap, where Ap is the disk surface area. For each replica, we first calculated the pair-correlation function g(r) by counting disk pairs in narrow distance intervals of width dr = 0.01 a, where a is the disk radius. For each coverage, we calculated 20 replicas of the function g(r) in the range from r = 2a to r = 10a, i.e., in 800 narrow intervals. Next, we calculated replicas of the total correlation function h(r) = g(r) - 1. After ensemble averaging we got 800 discrete, arithmetic mean values of correlation function and standard deviations of the means, for each coverage. We identified and compared the maximum values of the standard deviation for each of the five coverages. The maximum standard deviations decreased with the increase in coverage from 6E-3 at coverage 0.1 to 7E-4 at coverage 0.5. Finally, we fit fourth order (cubic) B-spline representations to the mean total correlation functions. For that, we used the procedure DFC of SLATEC library.
To calculate the total correlation function with the B-splines, you can use the procedure DBVALU of SLATEC library. Knot vectors in the attached files begin and end with three improper knots, in accordance with requirements of the procedure. For details, see the paper: P. Weroński & K. Pałka, "Toward automatic analysis of random monolayers: The effect of pair correlation", Measurement 179 (2021) 109536.
DOI: 10.17632/n8c423y4h6
title: Head-on collision, "stop and move" and static

description: dimension of angular data = Lidar(1X1020) + goal(1X2) + angular_velocity(1X1)
dimension of linear data = Lidar(1X1020) + goal(1X2) + linear_velocity(1X1)
obstacle_velocity = position of obstacle (x,y) + orientation of obstacle w.r.t agent(theta) + distance of obstacle w.r.t agent+ 
                                  acceleration of obstacle (x) + acceleration of obstacle (y) + velocity of obstacle(x) + velocity of obstacle (y)
DOI: 10.6084/m9.figshare.22352962.v1
title: Supplementary Material for: Proliferative Sickle Cell Retinopathy in the retinal periphery detected by Ultra-Widefield imaging: A Case Report

description: Sickle cell proliferative retinopathy usually presents first in the peripheral retina and the ability to extend and enhance our visualization of the peripheral retina would allow for superior clinical decision-making. In our practice we had a 28-year-old patient diagnosed with major sickle cell disease of the homozygous type SS (HbSS) that presented with sickle cell proliferative retinopathy detected by ultra-widefield imaging in the nasal side of the left fundus. At follow-up, neovascularization was detected in the extreme nasal periphery of the left eye by ultra-widefield imaging fluorescein angiography with right gaze. The case was graded as Goldberg stage 3 and the patient was administered photocoagulation treatment. With further advancements in the quality and modality of peripheral retinal imaging, novel proliferative lesions can be detected and appropriately managed much earlier than was previously possible. Ultra-widefield imaging allows for the visualization of the central 200 degrees of the retina but, with gaze view, peripheral retina beyond 200 degrees can be reached.