cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24093750.v1
title: EEG_Dataset.zip

description: This dataset relates to electroencephalogram (EEG) signals of both healthy individuals and patients with ALS (Amyotrophic Lateral Sclerosis) when performing simple tasks and typing these tasks via a virtual keyboard using eye-tracking signals. The data was collected over a period of 2 years with 176 participants, including 6 ALS patients (each patient's data was collected 10 times, with a minimum interval of 1 week) and 170 healthy individuals (each person's data was collected once).
DOI: 10.6084/m9.figshare.24309802.v1
title: Figures

description: Source data files for all main plots
DOI: 10.6084/m9.figshare.28200683.v4
title: Raw data of Figure

description: miR-6402 targets <i>Bmpr2</i> and negatively regulates mouse adipogenesis
DOI: 10.17608/k6.auckland.16441686.v1
title: Hyperspectral Imaging adulterated honey dataset

description: This a spreadsheet of features extracted from hyperspectral images of adulterated New Zealand honey. The images of adulterated honey have been captured with a hyperspectral imager SOC-710 from Surface Optic. The hypercubes captured are between 400 - 1000nm in wavelength with a 5nm increment and have a 520 x 696 spatial resolution. The system used to capture these images has been developed using rigorous testing and evaluation to create a standard for the hyperspectral imagery capture of honey. The dataset comprises the features (128 spectral bands) of the hyperspectral images after a well-designed procedure for calibration, pre-processing and segmentation. This process produces a consistent dataset through all trials, so the work produced is comparable. There are six acquisitions of each adulterated honey sample; these are then captured by the hyperspectral imagery and calibrated, pre-processed and segmented to get the final spectral information.
DOI: 10.17632/98dcnfcwh4
title: Bullying case in Indonesia the teacher became the pioneer of a bullying case through a qualitative approach

description: Cases of bullying have become a worrying problem in the world of education. Bullying does not only apply between fellow students in some cases of bullying, the reason bullying among students occurred was because they imitated or just went along without thinking twice, therefore this research proposal will discuss teachers who pioneered bullying cases. Researchers are trying to dig this case with a qualitative approach. The hope is that there will be awareness from teachers, school administrators and parents so that bullying is no longer something that constantly hinders students during the process of studying.
DOI: 10.17632/cbj34kcbbr
title: Bacterial Diversity Shapes Carbon, Nitrogen, and Phosphorus Stoichiometry in Fine Roots of Dominant Plants in Mountain Ecosystems

description: Physicochemical properties of rhizosphere soil, C, N, and P stoichiometric characteristics of fine roots, rhizosphere microbial community and C, N, and P cycling functional gene data of dominant plants at different altitudes in Helan Mountain (for the restoration and sustainable development of mountain ecosystems).
DOI: 10.25439/rmt.28235864.v1
title: Minecraft WoZ Study Dataset

description: Please fill out this terms of use form before accessing the dataset: https://forms.gle/N8gk6NNsJaBW9AKE7This is the accompanying data published alongside a manuscript detailing an experiment that involved an adaptive companion character through real-time physiological measurement of cognitive load, who was controlled by the <i>wizard</i>, the primary researcher.<br><br>This dataset presents an array of physiological and log data collected during Minecraft gameplay. It contains the raw EMG, PPG, EDA, game logs, and screen-recorded gameplay from 16 participants. It also contains the scripts for processing the PPG, EDA, and EMG data in real-time, as well as the task instructions and hints provided by the companion. Full details of the data collection (including hardware and software specifications) can be found in the accompanying publication "Real-Time Adaptation of a Non-Player Character Companion Using Physiological Signals of the Player" by E J Pretty, R Guarese, J Hamari, H M Fayek and F Zambetta.<br>Variable Descriptions<br>EMG: Measured in volts (V), collected from Myoware Muscle Sensor 1.0EDA: Measured in microsiemens (µS) by the Emotibit<br>PPG: Raw arbitrary units measured by the EmotibitGameplay: Captured by OBS
DOI: 10.6084/m9.figshare.11695566.v1
title: wav_coi_BritishIndia.dat from Emergence of oscillations in a simple epidemic model with demographic data

description: A simple susceptible–infectious–removed epidemic model for smallpox, with birth and death rates based on historical data, produces oscillatory dynamics with remarkably accurate periodicity. Stochastic population data cause oscillations to be sustained rather than damped, and data analysis regarding the oscillations provides insights into the same set of population data. Notably, oscillations arise naturally from the model, instead of from a periodic forcing term or other exogenous mechanism that guarantees oscillation: the model has no such mechanism. These emergent natural oscillations display appropriate periodicity for smallpox, even when the model is applied to different locations and populations. The model and datasets, in turn, offer new observations about disease dynamics and solution trajectories. These results call for renewed attention to relatively simple models, in combination with datasets from real outbreaks.
DOI: 10.6084/m9.figshare.19160663.v9
title: Bullying10k

description: <br> <strong>Bullying10K: A Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition</strong> <br> Bullying10K is a privacy-preserving dataset designed for bullying Recognition. It was captured using a DVS (Dynamic Vision Sensor) camera and includes 10,000 samples, comprising a total of 12 billion events. You can also visit our website for more detailed information. https://www.brain-cog.network/dataset/Bullying10k/ We also publish the code for reading and processing the data. You can ask for the code on github. https://github.com/Brain-Cog-Lab/Bullying10K
DOI: 10.6084/m9.figshare.8859503.v1
title: Figure 1 - data

description: PCR integration gels for AAVS1 targeted hiPSC lines. Sequencing chromatograms to confirm integration.
DOI: 10.6084/m9.figshare.9199913.v1
title: Physiological responses of hydroponically-grown Japanese Mint under nutrient deficiency

description: Physiological responses of Japanese Mint under macro- and micronutrient deficiency
DOI: 10.6084/m9.figshare.1211945.v4
title: Texture Analysis in Melon Landraces through Instrumental and Sensory Methods

description: The present article deals with the relation between fruit texture and human perception in a large group of non-climacteric melon genotypes, by measuring several mechanical properties and discussing their relationship with some sensory parameters. Juiciness resulted the main factor in melon consumer acceptance, but firmness, cohesiveness, fibrousness, springiness, and resilience also defined quality groups. Consumers (53.9%) preferred a fruit of medium firmness, outstanding juiciness, and medium-high fibrousness; 24.5% of consumers have chosen a less firm fruit than the majority, while 21.6% of consumers wanted a less fibrous melon. The combination of textural traits could be larger applied in future breeding programs.
DOI: 10.6084/m9.figshare.7929866.v1
title: gVCF_HG02401

description: 1000 Genomes gVCF mapped to hs37d5 for HG02401. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.17140172.v4
title: Data from "Many-Body Effects in the X-ray Absorption Spectra of Liquid Water"

description: This dataset contains all data related to the publication "Many-Body Effects in the X-ray Absorption Spectra of Liquid Water", by F. Tang et al., 2021. In this work, we used deepmd to generate snapshots of H<sub>2</sub>O, D<sub>2</sub>O at different temperatures. Then we used these snapshots to compute the GW-BSE XAS spectra and the related analysis reported in the paper. This dataset contains links to all software used, all data generated as part of this work, as well as scripts to generate and analyze all data and generate the plots reported in the publication.
DOI: 10.6084/m9.figshare.22548400.v7
title: A scATAC-seq atlas of chromatin accessibility in axolotl brain regions

description: Axolotl (<i>Ambystoma mexicanum</i>) is an excellent model for investigating regeneration, the interaction between regenerative and developmental processes, comparative genomics, and evolution. The brain, which serves as the material basis of consciousness, learning, memory, and behavior, is the most complex and advanced organ in axolotl. The modulation of transcription factors is a crucial aspect in determining the function of diverse regions within the brain. There is, however, no comprehensive understanding of the gene regulatory network of axolotl brain regions. Here, we utilized single-cell ATAC sequencing to generate the chromatin accessibility landscapes of 81,199 cells from the olfactory bulb, telencephalon, diencephalon and mesencephalon, hypothalamus and pituitary, and the rhombencephalon. Based on these data, we identified key transcription factors specific to distinct cell types and compared cell type functions across brain regions. Our results provide a foundation for comprehensive analysis of gene regulatory programs, which are valuable for future studies of axolotl brain development, regeneration, and evolution, as well as on the mechanisms underlying cell-type diversity in vertebrate brains.
DOI: 10.6084/m9.figshare.24845235.v3
title: Data from: Strog benefits of hedgerows to bats in three European winegrowing regions.csv

description: All_data: csv file containing the flight and foraging activity of bats, as well as landscape characterization for each of the vineyards studied in the three countries included in the study (see Metada_All_data).Bat_Activity_Austria: csv file containing the raw data on flight and feeding activity at species level for Austria (see Metadata_Bat_Activity_Country)Bat_Activity_Germany: csv file containing the raw data on flight and feeding activity at species level for Germany (see Metadata_Bat_Activity_Country)Bat_Activity_Spain: csv file containing the raw data on flight and feeding activity at species level for Spain (see Metadata_Bat_Activity_Country)Metada_files: Files containing abbreviations and explanations of the columns of .csv files
DOI: 10.6084/m9.figshare.27745770.v1
title: <b>Global database of actual nitrogen loss rates in coastal and marine sediments</b>

description: “Upload_data.xlsx” includes the compiled data. The “Raw_data” sheet included data on nitrogen loss rates and environmental parameters, while the “Experiment information” sheet included data on controlled conditions related to intact core incubation experiments.“Raw_data references.docx” contains all the references of the articles used in the database.Welcome readers to contact us to indicate errors or update the data in the database.
DOI: 10.6084/m9.figshare.28244258.v1
title: Source data for resolving polarization switching pathways of sliding ferroelectricity in trilayer 3R-MoS<sub>2</sub>

description: Source data for resolving polarization switching pathways of sliding ferroelectricity in trilayer 3R-MoS<sub>2</sub>
DOI: 10.6084/m9.figshare.28632494.v1
title: Genome fasta and annotation

description: This repository contains the genome assemblies and gene annotation files for 15 Australian chickpea cultivars.
DOI: 10.15482/usda.adc/28665137.v1
title: Data from: Groundwater surveillance of endemic swine pathogens on forty Iowa swine farms via dead-end ultrafiltration

description: Groundwater samples were collected in an observational study design by dead-end ultrafiltration from private wells on 40 Iowa swine farms and analyzed by quantitative polymerase chain reaction (qPCR) to assess contamination by endemic swine pathogens and swine manure markers. These data facilitate investigation of groundwater as a biosecurity risk on swine farms. Each farm was sampled one time. Twenty farms were sampled in spring of 2024 (4/15/2024 – 5/29/2024) and twenty farms were sampled in fall of 2024 (9/16/2024 – 10/29/2024). Sample volumes were 639–853 L (mean = 759). Control samples were collected in the field for each field sample, and control samples were tested for all organisms if the corresponding field sample tested positive for any organism. Samples were shipped on ice to the laboratory where they were backflushed, underwent secondary concentration, and archived at -80 degrees Celsius. Secondary concentrates were subsampled for nucleic acid extraction using the QIAGEN QIAcube Connect system, and each nucleic acid extract was analyzed in duplicate by qPCR using a Roche LightCycler 480 II for the following microorganisms: <i>Cryptosporidium</i> spp., enteropathogenic <i>Escherichia coli</i>, porcine circovirus type 2, porcine epidemic diarrhea virus, porcine reproductive and respiratory syndrome virus, rotavirus group C, <i>Salmonella</i> spp., swine <i>Bacteroidales</i> (2 qPCR assays), and swine influenza virus. Negative and positive controls were included at lab steps for concentration, nucleic acid extraction, reverse transcription, and qPCR. PCR inhibition was assessed in each nucleic acid extract and mitigated by dilution if necessary. Data are expressed as genomic copies per liter of groundwater sampled unless otherwise indicated. Dataset consists of 1 spreadsheet file: Dataset 01102025_V4.csv. Variables in this file are described in the included data dictionary.
DOI: 10.6084/m9.figshare.12443495.v10
title: The human O-GlcNAcome database

description: This database is a manually curated list of all the <i>O</i>-GlcNAcylated human proteins known to date. For each protein is reported the <i>O</i>-GlcNAc site(s), reference(s) and technique(s) used to determine O-GlcNAc status and sites.Each protein is scored for <i>O</i>-GlcNAcylation based on publications, techniques and identification of sites.The search flowchart is attached.<br><br>
DOI: 10.6084/m9.figshare.23294375.v2
title: Genetic divergences and hybridization within the <i>Sebastes inermis</i> complex

description: We uploaded data obtained from 360 individuals of the <i>Sebastes inermis </i>complex collected along the coastal waters of Japan. Data includes morphological information, genotypes of 10 microsatellite loci, sequences of the mitochondrial control region and the intron-free rhodopsine gene. Data was used to study levels of divergence and hybridization between species. A detailed description of each file is presented in READme.txt.
DOI: 10.6084/m9.figshare.23622774.v1
title: Acceleration data of shaking table test

description: This data was used to investigate the acceleration response and shape change characteristics of a gravity quay wall according to magnitude of the applied acceleration. The shaking table test was conducted using scaled-down quay wall models constructed per each senario according to inclination of quay wall. The ground acceleration was gradually increased from the peak ground acceleration (PGA) of 0.1g to 0.7g. After each ground acceleration test, acceleration installed on the wall and backfill ground was measured to assess the response acceleration.
DOI: 10.6084/m9.figshare.25043819.v1
title: Data for "The persistent DDT footprint of ocean disposal, and ecological controls on bioaccumulation in fishes".

description: Globally, ocean dumping of chemical waste is a common method of disposal and relies on the assumption that dilution, diffusion, and dispersion at ocean scales will mitigate human exposure and ecosystem impacts. In Southern California, extensive dumping of agrochemical waste, particularly chlorinated hydrocarbon contaminants such as dichlorodiphenyltrichloroethane (DDT), via sewage outfalls and permitted offshore barging occurred for most of the last century. This study compiled a comprehensive database of existing sediment and fish DDT measurements to examine how this unique legacy of regional ocean dumping translates into the contemporary contamination of the coastal ocean. We used spatiotemporal modeling to derive continuous estimates of sediment DDT contamination and show that the spatial signature of dumping is highly conserved in sediments. Moreover, we demonstrate that the proximity of fish to areas of high sediment loadings (historic dumping sites) explained nearly half of the variation in fish DDT concentrations. The relationship between sediment and fish contamination was mediated by ecological predictors (e.g., species, trophic ecology, habitat use), and the relative influence of each predictor was context-dependent, with habitat exhibiting greater importance in heavily contaminated areas. Thus, despite more than half a century since the cessation of industrial dumping in the region, local ecosystem contamination continues to mirror the spatial legacy of dumping, suggesting that sediment can serve as a robust predictor of fish contamination, and general ecological characteristics offer a predictive framework for unmeasured species or locations.
DOI: 10.6084/m9.figshare.25237600.v2
title: Apache Calcite dataset

description: This dataset is part of<i> </i><i>PreSTyDe</i><i>: Improving the performance of within-project defects </i><i>prediction by learning to classify types of software faults. </i>It contains the dataset used for the experiments and the analysis and results of Silhouette and Elbow scores, followed by the visualisation of the clustering of defects, all of which are further discussed in the paper.
DOI: 10.6084/m9.figshare.27021478.v4
title: MUSIQ adaptado para o português do Brasil. Instrumento Final

description: Esta é uma ferramenta projetada para ajudá-lo a avaliar aspectos de seu contexto local que podem afetar o sucesso de seu projeto de melhoria de qualidade. Identificamos vários fatores do sistema de saúde que influenciam no sucesso da implementação de projetos de melhoria da qualidade. Resumimos esses fatores e como eles influenciam o sucesso em um modelo chamado MUSIQ. Esta ferramenta lhe ajudará a examinar seu contexto usando o modelo MUSIQ.Este trabalho está licenciado sob CC BY 4.0. Para ver uma cópia desta licença, visite https://creativecommons.org/licenses/by/4.0/© 2 por Zenewton A. S. Gama; Sarah E. C. B. Oliveira; Natália G. Linhares.
DOI: 10.6084/m9.figshare.28728728.v2
title: <b>Underwater datasets for MADNet</b>

description: The underwater datasets used for MADNet are Brackish, UOv2, and RUOD.File: UOv2.zip<b>Description:</b> It contains five target categories: echinus, holothurian, scallop, starfish, and waterweeds. The dataset is divided into a training set of 5,320 samples, a validation set of 1,520 samples, and a test set of 760 samples, following a 7:2:1 ratio.File: Brackish.zip<b>Description:</b> The dataset, which contains 14,674 images of crabs, fish, jellyfish, shrimp, small fish, and starfish, was randomly divided into a training set, a validation set, and a test set in an 8:1:1 ratio, comprising 11,739, 1,467, and 1,468 images, respectively.File: RUOD.zip<b>Description:</b> It contains 14,000 images with 10 target categories, namely holothurian, echinus, scallop, starfish, fish, corals, diver, cuttlefish, turtle, and jellyfish. It is divided into 9,800 images with 51,934 annotations for the training set and 4,200 images with 22,969 annotations for the validation set, respectively. A total of 300 images were provided in the test set, comprising 100 images each for blur, color, and light.<br>Data was derived from the following sources:Brackish: https://universe.roboflow.com/brad-dwyer/brackish-underwaterUOv2: https://universe.roboflow.com/roboflow-100/underwater-objects-5v7p8RUOD: https://drive.google.com/file/d/1hxtbdgfVveUm_DJk5QXkNLokSCTa_E5o/view?usp=drive_link
DOI: 10.6084/m9.figshare.6715988.v1
title: Qualitative and Quantitative Data

description: The information in this data set are raw one on one interviews. Additionally, quantitative data output is included.
DOI: 10.17632/b4gcgybvt6
title: Clustered Shortest-Path Tree Problem Instances

description: + The tested data for Clustered Shortest-Path Tree Problem. 
+ The tested data were created based on the MOM of the Clustered Traveling Salesman Problem (https://www.sciencedirect.com/science/article/pii/S0305054812002122)
+ Get from: D:\OneDrive - moet.edu.vn\MyData\Read\Source code\10. MFO\W. Benchmarks\04.Clustered_Tree_Instance_From_Clustered_TSP\Instances\Clustered_Tree_instances\MOM_Lib
DOI: 10.17632/vp9drwvnbf
title: Data for: Estimating the Causal Effects of Private Health Insurance in Brazil: Evidence from a Regression Kink Design'

description: Stata Software do file
DOI: 10.6084/m9.figshare.14597556.v1
title: Radical stability calculations for 89,320 organic radicals in the water phase

description: Optimized structures for 89,320 organic radicals at the M06-2X/def2-TZVP level of theory in an implicit water solvent using Gaussian 16. Cartesian coordinates of the optimized molecules are included in the SDF file format.Fractional spin of the unpaired electron and buried volumes has been provided in a CSV file for the water-phase calculation sof the computationally optimized molecules. In the spin and buried volume CSV, atom_index corresponds to the canonical atom order assigned by RDKit and is also represented by the atom ordering for the corresponding entry in the SDF file.<br>
DOI: 10.6084/m9.figshare.1512427.v1
title: brain tumor dataset

description: This brain tumor dataset contains 3064 T1-weighted contrast-inhanced images with three kinds of brain tumor. Detailed information of the dataset can be found in readme file.