cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27118437.v2
title: Variation in wood density across South American tropical forests

description: Predicted spatial variation in wood density across tropical South American forests. This data package contains map data products from the paper "Variation in wood density across South American tropical forests".Contents:Ensemble predictions.gri - Predicted wood density averaged across models. Maps shown in Fig. 3 and Fig. S2b.RF spat.gri - Predicted wood density from random forest model - spatial covariates only. Maps shown in Fig S2a.RF env.gri - Predicted wood density from random forest model - environmental covariates only. Map shown in Fig S2a.RF all.gri - Predicted wood density from random forest model - environmental and spatial covariates. Map shown in Fig S2a.GAM spat.gri - Predicted wood density from GAM - spatial covariates only. Map shown in Fig S2a.GAM env.gri - Predicted wood density from GAM - environmental covariates only. Map shown in Fig S2a.GAM all.gri - Predicted wood density from GAM - environmental and spatial covariates. Map shown in Fig S2a.SD predictions.gri - Standard deviation of model predictions. Map shown in Fig. S3.Dissimilarity index.gri - Multivariate dissimilarity index. Fig. S7b.EnvRobustSubsampling.gri - Binary variable - are environmental variables in the range where relationships were robust to subsampling data. Fig. S7c.EnvRangeTraining.gri - Binary variable - are environmental variables in the range seen in the training data. Fig. S7d.AOA1.gri - Binary variable - area of model applicability defined using spatial cross-validation. Fig. S7e.AOA2.gri - Binary variable - area of model applicability defined using non-spatial cross-validation. Fig. S7d.<br>
DOI: 10.6084/m9.figshare.6171509.v1
title: Figure 2c from Foliage motion under wind, from leaf flutter to branch buffeting

description: Matlab code generating figure 2c with raw data
DOI: 10.6084/m9.figshare.6207737.v1
title: DIDACTIC EXPERIMENT OF CHEMOMETRICS FOR PHARMACEUTICAL PELLETS MAPPING USING NEAR-INFRARED SPECTROSCOPY AND MULTIVARIATE CURVE RESOLUTION WITH ALTERNATING LEAST SQUARES: A TUTORIAL, PART IV

description: The aim of this manuscript is to present a didactic experiment based on the combination of Near Infrared chemical imaging and Multivariate Curve Resolution for beginners, undergraduate and graduate students. In this tutorial, using MATLAB environment, the instrumental signals will be separated into two matrices, of spectral profiles and relative concentrations in the samples. Then, chemical images were generated to identify and verify the distribution of the components in the pellet samples. Chemical imaging was obtained from the mapping of predetermined area and the results for relative concentrations obtained in the ALS optimization for the analyzed area. This approach was successfully tested in chemistry undergraduate course at the Chemistry Institute of Campinas State University.
DOI: 10.6084/m9.figshare.14866749.v1
title: Data for "A computational protocol combining DFT and cheminformatics for prediction of pH-dependent redox potentials"

description: Data published in the open access article "A computational protocol combining DFT and cheminformatics for prediction of pH-dependent redox potentials".<br>Each file is named after the name of a figure in the article and contains the final calculation results used to generate the figure.All methodologies are described in the article.
DOI: 10.6084/m9.figshare.19193084.v1
title: scz2019asi

description: GWAS summary statistics from the Psychiatric Genomics Consortium (PGC)
DOI: 10.17632/6ggdshmk2f
title: Normative reference value of single leg bridge test in normal adult’s.

description: The single leg bridge test (SLBT) can be used to determine the strength and stability of the hip extensor muscles. The study included 50 participants (29 males and 21 females). Before the test, the demographics and characteristics of the outcome measure were assessed. The single leg bridge test is taught to the participants and recorded as the right leg and left leg holding time in seconds. With respect to weight and BMI, the typical values of the single leg bridge for the right leg are (102 sec) and for the left leg are (96 sec) for both male and female participants.
Keywords: Single leg  bridge test, single leg bridge
DOI: 10.17632/kkz4dcd944
title: Detrital zircon and whole-rock data_Supplementary Material 2

description: This file contains the following data of from ENC:
Dataset 1. Data for detrital zircon U-Pb dating and trace element compositions.
Dataset 2. Collecting detrital zircon age data of sandstones from previous studies.
Dataset 3. Collecting whole-rock data from previous studies.
DOI: 10.17632/ygjrwtwzj3
title: Metadyn View: Fast web-based viewer of free energy surfaces calculated by metadynamics

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract Metadynamics is a highly successful enhanced sampling technique for simulation of molecular processes and prediction of their free energy surfaces. An in-depth analysis of data obtained by this method is as important as the simulation itself. Although there are several tools to compute free energy surfaces from metadynamics data, they usually lack user friendliness and a build-in visualization part. Here we introduce Metadyn View as a fast and user friendly viewer of bias potential/free energ... Title of program: Metadyn View Catalogue Id: AEYC_v1_0 Nature of problem Fast and interactive visualization of free energy surfaces of molecular systems calculated by metadynamics method Versions of this program held in the CPC repository in Mendeley Data AEYC_v1_0; Metadyn View; 10.1016/j.cpc.2015.08.037
DOI: 10.17632/ztz59y79vv
title: Data for: The evolution of the Patagonian Ice Sheet from 35 ka to the Present Day (PATICE)

description: Supplementary Data. Includes Excel data tables for ages and shapefiles for ages, geomorphology and ice-sheet reconstruction.
DOI: 10.6084/m9.figshare.16644892.v1
title: Bioaccessibility of Inorganic Arsenic in Rice: Probabilistic Estimation and Identification of Influencing Factors

description: Bioaccessibility, defined as the fraction of inorganic arsenic (iAs) that becomes soluble in the GI tract and ready for absorption, is one of the determining factors that impacts the iAs exposure through rice consumption. The objective of this study is to, based on published data, quantitatively characterize the bioaccessibility of iAs in rice and identify its influencing factors. A total of 256 published papers were identified and reviewed, among which eight were selected as they provide adequate data to support the analyses of bioaccessibility and influencing factors. A meta-analysis was performed to characterize the probabilistic distribution of the bioaccessibility of iAs. A general regression analysis was performed to identify the influencing factors of the bioaccessibility. A beta distribution (a = 4.91, b = 1.85) with a mean and 90<sup>th</sup> percentile interval of 73% (43%, 95%) was estimated to adequately describe the iAs bioaccessibility in rice. The regression analysis shows that grain size (<i>p</i>-value &lt; 0.001) and the inorganic-to-total proportion of arsenic (<i>p</i>-value &lt; 0.001) are negatively associated with bioaccessibility, while milling status has no impact.
DOI: 10.6084/m9.figshare.19425737.v1
title: Data and code for: Specializations in optic flow encoding in the pretectum of hummingbirds and zebra finches

description: Data and code for: "Specializations in optic flow encoding in the pretectum of hummingbirds and zebra finches" by Smyth G, Baliga VB, Gaede AH, Wylie DR, and Altshuler DL<br>Any questions about this repository can be directed to: Vikram B. Baliga (vbaliga@zoology.ubc.ca)<br>
DOI: 10.6084/m9.figshare.22264000.v2
title: MSR 2023 Dataset

description: This is the artifact that accompanies the paper titled: "Wasmizer: Curating WebAssembly-driven Projects on GitHub". <br> It contains: - the scripts we used to produce a dataset of WebAssembly binaries - a dataset of WebAssembly binaries (8915 .wasm files and 1384 .wat files) - the WASMIZER tool that can be used to automatically collect a new dataset, with refined information # Scripts <br> The `Scripts/` folder contains the scripts that we used to collect our dataset in December 2022. Since then, we have refined our scripts and made a tool, WASMIZER, described at the end of this README and accessible in the `WASMIZER/` folder. <br> In the `Scripts/` folder, there are three subfolders : <br> - `Collector/` that contains the scripts to collect GitHub projects that may be targeting WebAssembly as a compilation target - `Compiler/` that tries to compile a project and extracts the `.wasm` and `.wat` found after compilation. - `SmellsChecker/` that contains the checkers for the smells used in the case study of the paper. Each of these directories contain a README providing more details. <br> # Dataset The `Dataset/` folder contains our dataset of WebAssembly binaries collected in December 2022. It is structured as follows: <br> - The `wasm/` folder contains WebAssembly binaries in their binary format (`.wasm`) - The `wat/` folder contains WebAssembly binaries in their textual format. The basename of the files are their SHA checksum. Each binary is accompanied by a `.meta` file of the same name containing the project and the path within the project in which it was found. For example, for the binary `00047ad76615715bb2b36fa2102135b8dc32ac3c17f3488451168f808e2039f0.wasm`, there is a `00047ad76615715bb2b36fa2102135b8dc32ac3c17f3488451168f808e2039f0.meta` file containing: <br> ``` ./JuiceFV-Emscripten_OpenGL/application/dependencies/lib_sources/GLM/test/gtx/test-gtx_easing.wasm ``` <br> This indicates that we have found a WebAssembly binary in the `JuiceFV/Emscripten_OpenGL` GitHub project, at location `application/dependencies/lib_sources/GLM/test/gtx/test-gtx_easing.wasm`. When collecting this dataset, a number of metadata have not been collected and are thus missing from this initial snapshot. However, we have bundled a tool described below, which scrapes repositories and extract .wasm files after compilation, which collects more metadata. <br> # WASMIZER The WASMIZER tool is provided in the `WASMIZER/` directory. This is a refined version of our scripts used to collect the dataset. More details can be found in `WASMIZER/README.md`. To obtain the latest version, one can run `git pull` from the `WASMIZER/` directory, or access the repository online at [https://github.com/arash-mazidi/WASMIZER](https://github.com/arash-mazidi/WASMIZER). <br> The tool is deployed and regularly pushes newly found projects, .wasm and .wat files to the following shared folder : https://tucloud.tu-clausthal.de/index.php/s/MMRQMEZm66GRGXI (password: wasmizer).
DOI: 10.6084/m9.figshare.28788095.v1
title: Molecular Networks of 248 Medicinal Plants by Solvent Polarity

description: A total of 744 samples, 248 representative Korean medicinal plants extracted by three solvents (100% water, 50% ethanol, and 100% ethanol), are analyzed by Orbitrap Exploris120
DOI: 10.17632/gpg5s6g8s7
title: Talabat

description: Talabat reviews, annotated to 3 class classification (pos, neg, nue) by native arabic speekers
related publications:

- Arabic Sentiment Analysis of Food Delivery Services Reviews
D Mustafa, SM Khabour, AS Shatnawi, E Taqieddin, 2023 International Symposium on Networks, Computers and Communications (ISNCC)

- Customers' sentiment on food delivery services: An Arabic text mining approach, D Mustafa, SM Khabour, AS Shatnawi , International Journal of Information Management Data Insights 4 (2), 100299

- Leveraging sentiment analysis of food delivery services reviews using deep learning and word embedding, D Mustafa, SM Khabour, M Al-Kfairy, A Shatnawi, PeerJ Computer Science 11, e2669
DOI: 10.6084/m9.figshare.1299085.v2
title: Optimizing pipelines in task fMRI (processed data)

description: this file includes preprocessed task fMRI data for 3 different tasks and 2 different analysis models, which for the basis of results in the PLOS-ONE paper "An automated, adaptive framework for optimizing preprocessing pipelines in task-based functional MRI". Data are stored in .mat files (MATLAB or OCTAVE compatible).
DOI: 10.6084/m9.figshare.22022540.v1
title: Annotated dataset for deep-learning-based bacterial colony detection

description: Quantifying bacteria per unit mass or volume is a common task in various fields of microbiology (e.g., infectiology, and food hygiene). Most bacteria can be grown on culture media. The unicellular bacteria reproduce by dividing into two cells, which increases the number of bacteria in the population. Methodologically, this can be followed by culture procedures, which mostly involve determining the number of bacterial colony-forming units on the solid culture media that are visible to the naked eye. However, it is a time-consuming and laborious professional activity. Addressing the automation of colony-forming unit counting by convolutional neural networks in our work, we have cultured 24 bacteria species of veterinary importance with different concentrations on solid media. A total of 57,028 colonies were annotated manually by bounding boxes on the 373 digital images of bacterial cultures. The published database will help developments that use artificial intelligence to automate the counting of bacterial colony-forming units.
DOI: 10.6084/m9.figshare.3158815.v1
title: Smells like Teen Spirit: Improving Bug Prediction Performance Using the Intensity of Code Smells

description: Code smells are symptoms of poor design and implementation choices. Previous studies empirically assessed the impact of smells on code quality and clearly indicate their negative impact on maintainability, including a higher bug- proneness of components affected by code smells. In this paper we capture previous findings on bug-proneness to build a specialized bug prediction model for smelly classes. Specifically, we evaluate the contribution of a measure of intensity of code smells (i.e., a measure that captures the severity of the smell), by adding it to a structural metric-based bug prediction models and comparing the results of the new model against the baseline model. Results indicate that the accuracy of a bug prediction model increases by adding the intensity of smells as predictor. Moreover, we complement this analysis by evaluating the actual gain provided by the intensity metric with respect to the other structural metrics in the model, including the ones used to compute the measure of intensity. We observe that the intensity index results much more important with respect to other metrics used for predicting the buggyness of smelly classes. Finally, we report additional analysis aimed at showing (i) to what extent false positive smell instances detected by an automatic smell detection tool impact the performance and (ii) the contribution of the intensity index in prediction models relying on process metrics or a combination of structural and process metrics.
DOI: 10.6084/m9.figshare.5425615.v1
title: China provincial energy inventory, 1997-2015

description: The dataset provides China provincial energy inventory from 1997-2015.Raw data are collect from China energy statistical yearbooks 2001-2016
DOI: 10.6084/m9.figshare.5808291.v1
title: Simulated High-Density Surface Electromyographic signals for the validation of decomposition algorithms

description: A planar volume conductor model was used for generating synthetic surface (sEMG) signals (Farina and Merletti 2001). Muscle, fat and skin tissues were used in the nonhomogeneous and anisotropic volume conductor. It included an inimitable, and semi-infinite muscle layer with cross-section of 30 mm (transversal) × 15 mm (depth). The average fiber length, isotropic subcutaneous and skin layer thickness were 130 mm, 4 mm and 1 mm, respectively. Each Motor Unit (MU) had a random number of fibers uniformly distributed between 24 and 2048 with the circular territories of 20 fibers/mm<sup>2</sup>. The conduction velocities were normally distributed (4.0±0.3 m/s). In the initial recruitment, each MU discharged at 8 pulses per second (pps) (Fuglevand, Winter et al. 1993). Its discharge rate linearly increased with excitation (0.3 pps per % of muscle excitation). A grid of 9×10 (9 columns, 10 rows) single differential (SD) surface electrodes with 5-mm inter-electrode distances in both directions was simulated. 15 sEMG signals with length of 16 s were generated and sampled at 4096 Hz. Muscle excitation was set to 10%, 30% and 50% Maximum Voluntary Contraction (MVC). The raw data was provided. It is possible to produce signals with different signal-to-noise ratios (SNRs) by adding colored Gaussian zero-mean noise in the bandwidth of 20-500 Hz to the raw surface EMG signals.<br> The signal name contains the % MVC and is a Mat-file that could be loaded in Matlab. Each file contains the following variables:<br> fsampe: the Sampling rate sig_out: the single differential (SD) sEMG signals (cell array) in rows and columns (arbitrary units) sFirings: the firing samples of the MUs (cell array)<br> <b>References:</b> Farina, D. and R. Merletti (2001). "A novel approach for precise simulation of the EMG signal detected by surface electrodes." IEEE Transactions on Biomedical Engineering <b>48</b>(6): 637-646. Fuglevand, J., D. A. Winter and A. E. Patla (1993). "Models of recruitment and rate coding organization in motor-unit pools." Journal of Neurophysiology <b>70</b>(6): 2470-2488.
DOI: 10.17632/mfmxsmyrhh
title: PERFORMANCE OF MICROSERVICES RESULT DATA

description: A dataset containing system and service performance metrics, and user-facing quality metrics generated by running load tests against a microservice-based system under varying environmental and service configuration conditions.
DOI: 10.6084/m9.figshare.14414621.v1
title: spm_flexible_factorial_3d-20210414T152832Z-001.zip

description: Data generated in the SPM analysis described in the PlosOne paper "Effect of illumination level [18F]FDG-PET brain uptake in free moving mice"<br>
DOI: 10.6084/m9.figshare.28936823.v1
title: data and code on mode 2 internal waves off Yangtze River Estuary

description: The original data and code for the manuscript "Observations of Intense Turbulent Mixing by Unsteady Mode-2 Internal Lee Waves off the Yangtze River Estuary".
DOI: 10.6084/m9.figshare.29114702.v1
title: SEA328_73rDNA_variant_calls

description: Variant call file from short read sequencing for near isogenic C. elegans line with ~73 rDNA copies and minimal linked wild isolate DNA (SEA328)
DOI: 10.6084/m9.figshare.4731946.v1
title: microdiversity_gene_families.tgz

description: This dataset is a collection of FASTA files that represent nucleotide sequences of the relaxed core single-copy gene families analyzed in my manuscript on the modeling of microbial diversification.<br><br>
DOI: 10.17632/9z54kg3tnh
title: Data for: Polarization Mode Dispersion Measurement Using Fixed Analyzer Method with Deep Neural Network

description: The raw data of the transparency of the fixed analyzer method for each fiber is provided. Six different optical fibers are used for test fibers. The optical power spectrum with and without the polarizer is measured by a high precision optical spectrum analyzer (OSA). The resolution of the OSA is 0.01nm. The type and length of the test fiber is used as the folder name. Each data is named as "x.txt" or "x_p.txt" , where "x" is the experiment number. "x.txt" is the data of optical power spectrum without the polarizer, and "x_p.txt" is the data of optical power spectrum without the polarizer.
DOI: 10.6084/m9.figshare.28930931.v1
title: ET2021.tif

description: The mean annual HSEB ET (mm/day/year) for 2021. To obtain actual ET values (in mm/day/year), each pixel should be scaled by a factor of 0.001. HSEB-ET is a globally consistent, monthly ET dataset at 100-meter spatial resolution covering the period 1990-2021. The dataset was generated using the Hybrid Single-source Energy Balance (HSEB) model implemented on the Google Earth Engine platform, leveraging over four million Landsat thermal and optical images, dynamic land cover information from ESA CCI, and ERA5-Land reanalysis weather data.<br>
DOI: 10.6084/m9.figshare.29072660.v1
title: Cálculo de Cortocircuito.doc

description: n un mundo cada vez más interconectado, la capacidad de adaptarse al cambio se ha convertido en una de las habilidades más valoradas tanto en el ámbito personal como profesional. La tecnología avanza a un ritmo vertiginoso, modificando no solo la forma en que trabajamos, sino también cómo nos comunicamos, aprendemos y compartimos experiencias. En medio de esta transformación constante, cultivar la curiosidad y mantener una mentalidad abierta se vuelve esencial. Aquellos que son capaces de aprender de forma continua, cuestionar lo establecido y colaborar con otros, tienen más probabilidades de prosperar. No se trata simplemente de acumular conocimiento, sino de saber aplicarlo en contextos diversos, muchas veces inciertos. La resiliencia, entendida como la capacidad de recuperarse frente a la adversidad, se complementa con la creatividad, que permite encontrar nuevas soluciones cuando los caminos conocidos ya no son viables. En este escenario, el aprendizaje no es un evento aislado, sino un proceso que acompaña a lo largo de la vida. Así, el desarrollo humano se convierte en una aventura constante, donde cada desafío representa también una oportunidad. Mantener la motivación, buscar el equilibrio y construir relaciones significativas son claves para navegar con éxito en un mundo en constante evolución.
DOI: 10.6084/m9.figshare.3561918.v1
title: Appendix D. Box and whisker plots for the distribution of herbivory between native and invasive genotypes in North America, and between European genotypes in their native (EU) and invasive (NA) range.

description: Box and whisker plots for the distribution of herbivory between native and invasive genotypes in North America, and between European genotypes in their native (EU) and invasive (NA) range.
DOI: 10.17632/rj2s6k75yj
title: Data for: Bargaining with the system: A mixed-methods study of Arab teachers in Israel

description: mixed methods data
DOI: 10.25442/hku.26309854.v1
title: Supporting data for thesis “Therapeutic Effects of Ganoderma and Its Active Ingredients on Microglial Activation and Polarization in Multiple Sclerosis Treatment”

description: Supporting data for thesis “Therapeutic Effects of Ganoderma and Its Active Ingredients on Microglial Activation and Polarization in Multiple Sclerosis Treatment”Multiple Sclerosis (MS), a neurodegenerative disease infecting the central nervous system (CNS), without an effective therapeutic strategy currently. Seeking novel therapeutic strategies for MS is crucial due to its high prevalence and high economic burden. This study investigates the potential of Ganoderma Lucidum Spore Lehuo(GLS) powder, nature product derived from Ganoderma, as a therapeutic agent for MS, with no prior studies examined GLS powder's efficacy in MS treatment. The study used an experimental autoimmune encephalomyelitis (EAE) mouse model to test the hypothesis that GLS could mitigate MS by inhibiting microglial activation and promoting a shift towards an anti-inflammatory M2-like state.The results demonstrated that GLS treatment effectively ameliorated the severity of the disease, and reduced the inflammatory infiltration/demyelination, microglial activation and M2-like polarization in the spinal cord. Meanwhile, GLS could reduce the microglial RNS releasement via suppressing the nuclear factor-κB (NF-κB) signaling pathway in the inflammatory-related BV2 cell model. The in vitro experiments on microglia and neuronal cells also exert protective effects on neurons. Taken together, we conclude that GLS has therapeutic values for treating EAE/MS and decreases the disease severity via attenuating the activation and polarization of microglia to have anti-inflammatory, anti-oxidative effects and inhibiting microglial-derived neuronal death. Further investigation could lead to the development of a promising novel therapeutic agent for Multiple Sclerosis.