cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/tzsv5szmxb
title: Data for: Arms Production, National Defense Spending and Arms Trade: Examining Supply and Demand

description: Panel data
DOI: 10.17632/tjv86znb8c
title: Data for: Coexistence of high-Al and high-Cr chromite orebodies in the Acoje block of the Zambales ophiolite, Philippines: Evidence for subduction initiation

description: Table-1 and S1 present the averaged values and whole dataset of the major element and oxygen isotopic compositions of olivine grains in the Acoje harzburgites, dunite and chromitites, resepctively. Table 2 and S-2 present the averaged values and whole dataset of major element compositions of chromite grains in the Acoje harzburgites, dunite and chromitites, respectively.
DOI: 10.17632/932zxbfrbf
title: Data for: Updating and Sensitivity Analysis of Ground Motion Prediction Equation (GMPE) using NGA dataset

description: filtered data of NGA-west2
DOI: 10.6084/m9.figshare.26176939.v1
title: Dataset and a Matlab code

description: There are the data and code for paper "<b>A new concept model for seed germination and seedling tillering of winter wheat in the field</b>" submitted to Royal Society Open Science.
DOI: 10.17632/92rgnswtn8
title: Modeling the human aging transcriptome across tissues, health status, and sex

description: Raw count and metadata tables. Updated to include both filtered and unfiltered counts and meta data. RawTables.zip has the filtered datasets which were used in the study, while the Alldata.zip has tables for all downloaded datasets and their processed raw count data. These were later filtered to the datasets in RawTables.zip in order to improve predictions. Please see the published paper for more details and methods: PMID: 33336875 PMCID: PMC7811842 DOI: 10.1111/acel.13280.
DOI: 10.17632/xx8nyg6pjj
title: SWFD - Sliding Window Fractal Dimension

description: Discriminating between original paintings and replicas is a challenging task. In recent years, the fractal dimension (FD) has been used as a quantitative measure to analyze differences between similar paintings. However, previous FD tools require binarization or grayscale analysis and manual selection of painting areas. Here we present SWFD, a fully automated color-FD-based method for differentiating original paintings from replicas, which uses a sliding window approach and color-FD computation techniques.
DOI: 10.17632/fbjjgzgv7f
title: (First ever) Tunisian Sign Language Dataset

description: This is a dataset of hand gestures that represent tunisian sign language. It is the first ever dataset of TunSL, it was collected in collaboration with Tunisian Association of Sign Language Interpreters (ATILS) as one of the tasks for the developement of a mobile app for the recognition of TunSL.

The dataset consists of 4423 images of TunSL common words performed by 7 people for 57 standard Tunisian signs. The number of images per class differs from one class to another with each image having the size of 224 × 224 pixels. These images were taken in different environments using laptop cameras with different backgrounds, clothes, hand angles, brightness level, hand accessories... The folders and images have been named in Tunisian dialect.

↬ GitHub link: https://github.com/W7CH/First-ever-Tunisian-Sign-Language-Dataset
DOI: 10.17632/9f5xzypspc
title: Code for Mapping Pesticide-Induced Metabolic Alterations in Human Gut Bacteria

description: We developed custom R code to facilitate the processing and visualization of the UPLC-QE Orbitrap MS data obtained from the in vitro and in vivo experiments. The complete code for each step can be accessed. The customized R code encompasses the following analyses:
1) Metabolomics analysis for each bacteria strain in vitro.
2) Metabolomics summary for each pesticide in vitro.
3) Metabolomics analysis for all bacteria species and pesticides in vitro.
4) Lipidomics analysis for each bacteria strain in vitro.
5) Lipidomics summary for each pesticide in vitro.
6) Lipidomics analysis for all bacteria species and pesticides in vitro.
7) Correlation analysis between metabolites and Gip 
This code provides a comprehensive toolkit for data analysis and facilitates the exploration of various aspects of the metabolomics and lipidomics datasets.
DOI: 10.17632/dzw8x5vyrv
title: PyLlama: A stable and versatile Python toolkit for the electromagnetic modelling of multilayered anisotropic media

description: PyLlama is a handy Python toolkit to compute the electromagnetic reflection and transmission properties of arbitrary multilayered linear media, including the case of anisotropy. Relying on a 4x4-matrix formalism, PyLlama implements not only the transfer matrix method, that is the most popular choice in existing codes, but also the scattering matrix method, which is numerically stable in all situations (e.g., thick, highly birefringent cholesteric structures at grazing incident angles). PyLlama is also designed to suit the practical needs by allowing the user to create, edit and assemble layers or multilayered domains with great ease. In this article, we present the electromagnetic theory underlying the transfer matrix and scattering matrix methods and outline the architecture and main features of PyLlama. Finally, we validate the code by comparison with available analytical solutions and demonstrate its versatility and numerical stability by modelling cholesteric media of varying complexity. A detailed documentation and tutorial are provided in a separate user manual. Applications of PyLlama range from the design of optical components to the modelling of polaritonic effects in polar crystals, to the study of structurally coloured materials in the living world.
DOI: 10.6084/m9.figshare.13113878.v1
title: Industrial tests of co-combustion of alternative fuel with hard coal in a stoker boiler

description: This paper presents the results of industrial research on co-combustion of solid recovered fuel (SRF) with hard coal in a stoker boiler type WR-25. The share of SRF in the fuel mixture was 10%. During the co-combustion of SRF, no technological disturbances of the boiler were noted. The obtained SO<sub>2</sub> and NO<sub>X</sub> emissions were comparable with coal combustion, but dust emissions increased. During the co-combustion of the coal mixture with 10% of alternative fuel, acceptable standards for co-incineration of waste were exceeded for NOx, dust, CO, HCl, HF, heavy metals, dioxins, and furans. The by-products of waste co-combustion with coal were non-hazardous waste. The obtained results constitute a very important contribution to the process of boiler retrofitting toward a waste co-incineration unit, and to meeting the legislative and environmental requirements. <i>Implications</i>: Due to some challenges related to waste storage and transportation, combustion in incineration plants and Waste-to-Energy plants is not possible. The adaptation (formal and technical) of medium scale boilers as co-incineration plants reveals high potential. Nevertheless, the lack of experience and investigations of waste co-combustion in real industrial scale grate boilers is observed. Thus, the implication of this article results consists of the investigations using industrial scale mechanical grate boiler (different from incineration type). Moreover, the investigations were carried out in a low-capacity boiler (~50% of nominal capacity). This novel experience is very important because reduced heat dissipation into the grid caused by high ambient temperatures occurs very frequently. These tests are valuable from the point of view of retrofitting the unit to obtain technological and emission parameters that would allow obtaining the status of a waste co-incinerating unit. The results of these investigations are addressed to power plant management board and engineering staff.
DOI: 10.6084/m9.figshare.24782502.v3
title: Whole genome assembly and annotation results of<i>Torenia fournieri</i>

description: Results files for genome assembly and annotation.
DOI: 10.17632/6mhrhn7rxc
title: DSAIL-Porini: Annotated camera trap images of wildlife species from a conservancy in Kenya

description: This dataset has camera trap images of wildlife species from a conservancy in Kenya and their annotation. They are based on the Raspberry Pi 2, Raspberry Pi Zero and the OpenMV Cam H7 devices. The camera traps were deployed in the conservancy from June 2021 to December 2021. We have 6 categories of grazing mammals in this dataset; Burchell's zebra, Defassa waterbuck, bushbuck, Common warthog, impala and the Syke's monkey.
DOI: 10.17632/bp99b88spp
title: Dynamic finite element analysis of running with different foot strike patterns

description: The study aimed to examine and compare the foot arch deformation and plantar fascia tension in running with different foot strike techniques using computational modeling approaches. We hypothesized that FFS would produce a higher foot arch drop, larger plantar ligament stress and plantar fascia tensile force for the runner than RFS. The results showed that forefoot strike increased the foot arch drop (2.06-9.12% higher), plantar connective tissues stress (18.28-200.11% higher), and plantar fascia tensile force (18.71-109.10% higher) compared to heel strike.
DOI: 10.6084/m9.figshare.21936021.v2
title: Comparative analysis of dioecious <em>Amaranthus</em> plastomes and phylogenomic implications within Amaranthaceae s.s.

description: This project aims to understand evolutionary relationships among dioecious <em>Amaranthus</em> species using their complete chloroplast (cp) genomes. The cp genomes of nine dioecious <em>Amaranthus</em> species and other amaranths were assembled from Illumina short reads, annotated, and analyzed for phylogenetic relationships using maximum likelihood, Bayesian, and network approaches. Files shared here include the cp genomes, alignments, rDNA assemblies, and p-Distance estimates of evolutionary divergence between sequences.
DOI: 10.17632/g7pdm5prvp
title: Dataset for clinical assessment of flexion-relaxation phenomenon

description: As reported in Table 1 (Supplementary Data) there are 25 case studies (12 female and 13 male) identified with an ID number belonging to two groups: 13 controls (subjects without low back pain) and 12 patients (subjects with low back pain). Data are acquired using a wireless body sensor network, as depicted in Fig.1 (Supplementary Data), and the flexion-extension test that is usually composed by 4 cycles (an appropriate number to evaluate the phenomenon). In each cycle the starting point is the "standing" position (called phase 1), then "flexion" movement (called phase 2), "full flexion" position (called phase 3) and "extension" movement (called phase 4) as can be seen in video example Vid.1 and Vid.2 (Supplementary Data). “IDx – Anamnesis.pdf” (Raw Data/IDx) identify physical condition, perceived pain and subject disability level acquired during the visit by specialized medical staff. Table 2 (Supplementary Data) summarize the perceived pain from all subjects during the time (a mean value typically perceived and values before/during/after the test) and it is useful to better understand the global physical condition during the analysis. "IDx - sEMG" file (Raw Data/IDx) contains raw sEMG data (sample frequency=2kHz): • Time series (s) -&gt; sEMG reference time signal • sEMG1 (uV) -&gt; sEMG left longissimus signal • sEMG2 (uV) -&gt; sEMG right longissimus signal • sEMG3 (uV) -&gt; sEMG left multifidus signal • sEMG4 (uV) -&gt; sEMG right multifidus signal "IDx - Inertial" file (Raw Data/IDx) contains the inertial data (sample frequency=128Hz): • Time series (s) -&gt; Inertial reference time signal • Gyroscope x (°/s) -&gt; Angular velocity on the x axis • Gyroscope y (°/s) -&gt; Angular velocity on the y axis • Gyroscope z (°/s) -&gt; Angular velocity on the z axis • Acc x (g) -&gt; Acceleration on the x axis • Acc y (g) -&gt; Acceleration on the y axis • Acc z (g) -&gt; Acceleration on the z axis • Magn x (G) -&gt; Magnitude on the x • Magn y (G) -&gt; Magnitude on the y • Magn z (G) -&gt; Magnitude on the z
DOI: 10.17632/ptn3twsf59
title: Research Data（The effects of visual stimulation on the cortical activity of brainstem stroke dysphagia patients: A functional near-infrared spectroscopy study）

description: Including the baseline data and experimental data of the study.
DOI: 10.17632/25h8bjz4w5
title: Dataset for PITNet: Physics-Informed Trajectory Network for Smooth 7-DoF Robotic Arm Trajectories in Dynamic Environments

description: The dataset consists of synthetic 7-DoF robotic joint trajectories generated using cubic polynomial baseline paths with added sinusoidal variations and Gaussian noise. Each trajectory is smoothed via cubic spline interpolation and concatenated across five configurations, resulting in time points and joint angles q_road ∈R^(250×7) . The perturbations emulate real-world motion variability for training PITNet.
DOI: 10.17632/76233tt7cn
title: NWChem: A comprehensive and scalable open-source solution for large scale molecular simulations

description: Abstract The latest release of NWChem delivers an open-source computational chemistry package with extensive capabilities for large scale simulations of chemical and biological systems. Utilizing a common computational framework, diverse theoretical descriptions can be used to provide the best solution for a given scientific problem. Scalable parallel implementations and modular software design enable efficient utilization of current computational architectures. This paper provides an overview of NWCh... Title of program: NWChem Catalogue Id: AEGI_v1_0 Nature of problem Large-scale atomistic simulations of chemical and biological systems require efficient and reliable methods for ground and excited solutions of many-electron Hamiltonian, analysis of the potential energy surface, and dynamics. Versions of this program held in the CPC repository in Mendeley Data AEGI_v1_0; NWChem; 10.1016/j.cpc.2010.04.018 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/dsktsd99g3
title: Financial Toxicity

description: Supplementary documents, including ethical approval, questionnaires, anonymized row data, data analysis documents, and consent form
DOI: 10.17632/fp3dvvm3x6
title: SEGAE dataset

description: A serious game called SEGAE was created by six European universities in 2020 (Jouan et al., 2020). The game aims to improve the process of learning agroecology. Based on a modeling framework, it includes a graphical interface and a matrix that are connected by a calculation engine programmed in JavaScript. The matrix quantifies impacts of agroecological practices on many indicators in a synthetic way using an output-oriented approach. Unlike a process-based approach, which mechanistically represents biological processes in a farming system, the output-oriented approach focuses directly on impacts of practices on indicators. The output-oriented approach can thus be likened to an empirical approach at the farm scale. The main advantage of this approach is to summarize in a matrix the impacts of practices on relevant indicators while keeping the model simple. The database available with this article is an adapted version of the matrix in the game. It was (i) simplified to ease reading and (ii) supplemented with the references on which it is based. This database is available in a Microsoft® Excel workbook (SEGAEmatrix.xlsx), which contains seven worksheets: - A brief User Manual to get started with the matrix - Five intermediate worksheets contain the game’s matrix and default values of parameters and indicators. The methods used to determine impact factors are specified, as are their references. The matrix was divided into four worksheets to separate indicators related to crop production, animal production, the environment and socio-economic aspects of the farming system. - The final worksheet provides the details of the references cited in the intermediate worksheets.
DOI: 10.17632/kkwsr837n7
title: A Century-long Record of polycyclic aromatic hydrocarbon deposition in the Old Yellow River Estuary, China

description: Our research data is publicly available and can be shared. This includes data on PAHs concentrations used in the study.
DOI: 10.6084/m9.figshare.21989420.v1
title: Data for [Focal mechanism of a Late Triassic large magnitude earthquake along the Longmen Shan fault belt, eastern Tibetan Plateau]

description: Data for [Focal mechanism of a Late Triassic large magnitude earthquake along the Longmen Shan fault belt, eastern Tibetan Plateau] by Zhang et al. (2024) https://doi.org/10.1016/j.jsg.2023.105015
DOI: 10.6084/m9.figshare.29103236.v1
title: Genomes for Simulated Metagenome

description: List of genomes used as input for CAMISIM to make a simulated metagenome assembly.
DOI: 10.17632/28x8tc9n9k
title: Speech Recognition Datasets for Congolese Languages

description: This dataset contains two new benchmark corpora designed for low-resource languages spoken in the Democratic Republic of the Congo: The Lingala Read Speech Corpus LRSC, with 4.3 hours of labelled audio, and the Congolese Speech Radio Corpus CSRC, which offers 741 hours of unlabeled audio spanning four significant low-resource languages of the region (Lingala, Tshiluba, Kikongo and Congolese Swahili). Collecting speech and audio for this dataset involved two sets of processes: (1) for LRSC, 32 Congolese adult participants were instructed to sit in a relaxed manner within centimetres of an audio recording device or smartphone and read from the text utterances; (2) for CSRC, recording from the archives of a broadcast station were pre-processed and curated. Congolese languages tend to fall into the “low-resource” category, which, in contrast to “high-resource” languages, has fewer datasets accessible, limiting the development of Conversational Artificial Intelligence. This results in creating the speech recognition datasets for low-resource Congolese languages. The proposed dataset contains two sections. The first section involves training a supervised speech recognition module, while the second involves pre-training a self-supervised model. Both sections feature a wide variety of speech and audio taken in various environments, with the first section featuring a speech having its corresponding transcription and the second featuring a collection of pre-processed raw audio data.
DOI: 10.17632/z57nmyzhrr
title: Evergreening (Faria-e-Castro, Paul, and Sanchez)

description: This repository contains the codes used to replicate "Evergreening" by Miguel Faria-e-Castro, Pascal Paul, and Juan M. Sanchez, accepted at the Journal of Financial Economics.
A general README file is contained in the main folder. More detailed README files are contained in each of the subfolders. Each subfolder replicates one section of the paper: static model, empirics, and dynamic model. The README files contain a detailed list of software requirements.
DOI: 10.17632/jmgxbfhg87
title: LINF_160007600

description: Protein tyrosine phosphatase PRL-2; Leishmania infantum (strain JPCM5)
DOI: 10.6084/m9.figshare.17031728.v1
title: Supplementary Material for: The Long Noncoding RNA-H19 Mediates the Progression of Fibrosis from Acute Kidney Injury to Chronic Kidney Disease by Regulating the miR-196a/Wnt/β-Catenin Signaling

description: <b><i>Introduction:</i></b> Long noncoding RNAs (lncRNAs) have been reported to be involved in the occurrence and development of various diseases. This study was to investigate the role of lncRNA-H19 in the transition from acute kidney injury (AKI) to chronic kidney disease (CKD) and its underlying mechanism. <b><i>Methods:</i></b> Bilateral renal pedicle ischemia-reperfusion injury (IRI) was used to establish the IRI-AKI model in C57BL/6 mice. The expression levels of lncRNA-H19, miR-196a-5p, α-SMA, collagen I, Wnt1, and β-catenin in mouse kidney tissues and fibroblasts were determined by quantitative real-time PCR and Western blotting. The degree of renal fibrosis was evaluated by hematoxylin and eosin staining. The interaction between lncRNA-H19 and miR-196a-5p was verified by bioinformatics analysis and luciferase reporter assay. Immunohistochemistry and immunofluorescence were used to evaluate the expression of α-SMA and collagen I in kidney tissues and fibroblasts of mice. <b><i>Results:</i></b> lncRNA-H19 is upregulated, and miR-196a-5p is downregulated in kidney tissues of IRI mice. Moreover, miR-196a-5p is a direct target of lncRNA-H19. lncRNA-H19 overexpression promotes kidney fibrosis and activates fibroblasts during AKI-CKD development, while miR-196a-5p overexpression reversed these effects in vitro. Furthermore, lncRNA-H19 overexpression significantly upregulates Wnt1 and β-catenin expression in kidney tissues and fibroblasts of IRI mice, while miR-196a-5p overexpression downregulates Wnt1 and β-catenin expression in kidney tissues and fibroblasts of IRI mice. <b><i>Conclusion:</i></b> lncRNA-H19 induces kidney fibrosis during AKI-CKD by regulating the miR-196a-5p/Wnt/β-catenin signaling pathway.
DOI: 10.6084/m9.figshare.22134656.v3
title: Differential Pleistocene glacial and interglacial regional climate sensitivities help to constrain our future

description: This dataset includes the stable carbon and oxygen isotopes of soil carbonates, and stable carbon isotope of soil organic matter from two Quaternary loess sections collected from the Chinese Loess Plateau, which are used to calculate atmospheric CO2 levels during the Pleistocene glacial periods.
DOI: 10.6084/m9.figshare.5124619.v1
title: Supplementary Material for: Intentional Weight Loss and Dose Reductions of Antihypertensive Medications: A Retrospective Cohort Study

description: <b><i>Background:</i></b> Though it is well known that weight loss tends to decrease blood pressure, the quantitative association between the magnitude of weight loss and the effect on the need for antihypertensive medications is not well studied. We analyzed this association among overweight and obese attendees at two outpatient weight management centers. <b><i>Methods:</i></b> Case records of patients with a body mass index &gt;25 at baseline were analyzed. The weight loss intervention consisted of a calorie-restricted diet (~1,000 kcal/day deficit), a behavior modification plan, and a plan for increasing physical activity. <b><i>Results:</i></b> The study cohort consisted of 100 participants, and the mean follow-up period was 15 ± 3.5 months. Significant weight loss (12.2 ± 3.4 kg) and systolic/diastolic blood pressure reductions (9.1/6.3 mm Hg) were observed by study exit. For 5, 10, and 15% weight loss, respectively, 3, 39, and 39% of the patients achieved at least 1 discontinuation of any antihypertensive medication, and 8, 42, and 21 dose reductions were achieved. Dose reductions or discontinuations occurred in all classes of antihypertensive medications with similar magnitudes of weight loss. <b><i>Conclusions:</i></b> Intentional weight loss can potentially result in dose reductions/discontinuations of antihypertensive medications. Our results should be validated with data from larger randomized controlled studies and may help to inform the conduct of a systematic review of prior randomized controlled trials that contain data on medication changes accompanying weight loss.