cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25465615.v1
title: Soil heavy metal

description: “原始数据”是指通过测量研究区域内六种重金属元素（Cr、Cu、Pb、Ni、Zn和Hg）的浓度而获得的数据。第一列X表示采样点的经度，第二列Y表示采样点的纬度，第三列Z表示采样点的高程，后列为六种重金属元素的浓度数据。利用这些数据，在EXCEL中完成了土壤重金属的描述性统计，包括最大值、最小值、平均值、标准差等。“空间变异性分析数据”用于分析土壤重金属的空间变异性。数据的第一列X表示经度（十进制表示），第二列Y表示纬度（十进制表示）。由于变异性分析要求数据服从正态分布或近似正态分布，因此除 Hg 外，其他元素都满足此要求。数据的最后一列显示了对数转换后汞浓度的正态分布。“单一污染指数”是单一污染物的指数数据。“综合污染指数”是各种污染物的综合指数数据。“源头识别数据（PCA-APCS）”是指使用PCA/APCS模型进行源头识别分析的数据。“源头识别数据（PMF）”是指使用PMF模型进行源头识别分析的数据。“不确定性”是PMF模型所需的不确定性数据。
DOI: 10.6084/m9.figshare.26771938.v4
title: <b>Fast inference of large-scale air quality using a lightweight ensemble predictor</b>

description: data and codes
DOI: 10.17632/p3bt2wbcmj
title: Forging inner-disk Al-rich chondrules by interactions of CAI-like melt and ambient gas

description: Tabel S1. EPMA analysis condition for individual minerals in ARCs of this study
Table S2. EPMA major element compositions of individual minerals in ARCs of this study as determined by EPMA
Table S3. LA-ICP-MS trace element concentrations of ARCs in this study
Table S4. Instrumental biases of olivine, pyroxene, plagioclase, spinel, and glass reference materials among oxygen three-isotope sessions of this study
Table S5. Data reduction for oxygen isotope ratios in major minerals of ARCs in this study
Table S6. Summary of oxygen isotope ratios of individual analysis on ARCs of this study
Table S7. Data reduction for Al-Mg isotope analysis of olivine and spinel in MET 00526_A2 of this study
Table S8. Al-Mg isotope data of anorthitic glass reference materials
Table S9. Data reduction for Al-Mg isotope analysis of plagioclase in MET 00526_A2 of this study
Table S10a. Estimation of CAI portion in the precursor of OC ARCs based on their REE abundances
Table S10b. Bulk CAMS compositions of the refractory component in the precursor of OC ARCs inferred using two emdmember mixing models
DOI: 10.6084/m9.figshare.23258669.v1
title: Study on mitochondrial mass of immune cells in peripheral blood of elderly patients with bacterial infection

description: This study included 59 infection patients and 31 control groups, respectively. 59 bacterial infection patients aged 65-85 years from July 2021 to March 2022 were tested in Ningbo UB Medical Laboratory were selected as the research objects. Test data of patients clinically diagnosed with bacterial infection (including but not limited to <em>Staphylococcus aureus</em>,<em> Streptococcus pneumoniae</em>, <em>Streptococcus pyogenes</em> and <em>Escherichia coli</em>). Data exclusion criteria: (a) CD4+ cell count &lt;200 cells/μl; (b) Data of tumor patients. (c) Patients with viral infections, including AIDS. (d) Sample/patient with incomplete information (or test data). Control group: 31 healthy controls at the same stage, inclusion criteria: (a) No disease with physical examination data; (b) Age between 65-85 years old. The exclusion criteria were the same for the infection group. All the subjects’ samples support patients’ information, include years, gender, temperature, the value of N/L (neutrophil/lymphocyte), PCT (procalcitonin), WBC (white blood cells), CRP (C-reactive protein), TBil (total bilirubin), GPT (glutamic-pyruvic transaminase) and BNP (type B natriuretic peptide). The data utilized in this research was obtained from residual samples/blood specimens following routine examination. The study did not involve human subjects. Furthermore, it is not feasible to contact patients for obtaining their informed consent regarding the remaining specimen. It can be fully privacy protection, therefore, does not involve ethics and informed consent.
DOI: 10.6084/m9.figshare.24184641.v1
title: Data Leakage Detection and De-duplication in Large Scale Image Datasets

description: Auxilliary files for the paper "Data Leakage Detection and De-duplication in Large Scale Image Datasets"Please read README.md for a detailed description and instructions on how to use these auxilliary files.
DOI: 10.6084/m9.figshare.22189315.v1
title: Cost and Effort Data

description: Cost and effort study data
DOI: 10.6084/m9.figshare.28735217.v2
title: Sub-Planckian Resonance and the Cognitive Field: AFoundational Framework for Thought Curvature andWaveform Feedback

description: This paper is a direct continuation of the Fractal Fluid Space-Time (FFST) model developed in https://doi.org/10.6084/m9.figshare.28466540.v27\cite{ffst2025}, where the structure of space-time was modeled as a recursive, scale-invariant fluid capable of supporting curvature, torsion, and dynamic wave interaction. In that framework, space-time was shown to behave as a fractal field whose local density and pressure structures influenced rotational dynamics, gravitational behavior, and quantum coupling. The present work extends that formulation into the neurophysical domain, proposing that cognition is itself a fluid-structured waveform interaction arising from sub-Planckian resonance within this field. All variables introduced herein, including $\rho_f(x,t)$, $\Gamma_c(t)$, and $\mathcal{R}_n$ feedback layers, derive from or are consistent with FFST's foundational terms.<br>
DOI: 10.6084/m9.figshare.29114546.v1
title: Shared Transcripts.zip

description: Data contains transcripts from study on the impact of Formula Student on Learning
DOI: 10.6084/m9.figshare.28888438.v1
title: Additional file 1 of Optimizing dsRNA sequences for RNAi in pest control and research with the dsRIP web platform

description: Additional file 1: Primer and sequences. Contains lists of primers and other sequences used in the study.
DOI: 10.17632/mcmf627yh5
title: ITC-Net-Blend-60: A Comprehensive Dataset for Robust Network Traffic Classification in Diverse Environments - Scenario D

description: This dataset includes network traffic data from more than 50 Android applications across 5 different scenarios. The applications are consistent in all scenarios, but other factors like location, device, and user vary (see Table 1 of the DetailedDescription document in the Supplementary Materials repository). 
The current repository pertains to Scenario D. Within the repository, for each application, there is a compressed file containing the relevant PCAP files. The PCAP files follow the naming convention: {Application Name}{Scenario ID}{#Trace}_Final.pcap.
DOI: 10.17632/mw5n4vv4j9
title: Membangun Kesadaran Politik Warga Negara Melalui Pendidikan Kewarganegaraan

description: Negara tidak mungkin ada tanpa adanya warga negara. Warga negara memiliki kedudukan penting dalam mengarahkan negara melalui politik. Tidak heran bila pendidikan politik sangat menentukan tingkat kesadaran warga negara dalam berpartisipasi politik. Jenis penelitian ini merupakan penelitian kualitatif, yaitu studi kepustakaan/studi literatur dengan mereview berbagai jurnal dan buku yang berkaitan dengan pendidikan kewarganegaraan dan pendidikan politik sebagai sumber referensi. Hasil penelitian ini menunjukan, bahwa pendidikan politik memainkan peran kunci dalam membangun kesadaran warga negara tentang pentingnya partisipasi politik. Dalam sistem pendidikan, warga negara harus diberikan pengetahuan dan pemahaman tentang prinsip-prinsip demokrasi, hak dan kewajiban warga negara, serta proses politik yang terlibat dalam pengambilan keputusan. Pendidikan Kewarganegaraan memiliki peran penting dalam mempengaruhi atau memberikan pemahaman terhadap politik melalui sarana pendidikan di lingkungan sekolah. Pendidikan Kewarganegaraan dalam mengembangkan pemahaman siswa mengenai partisipasi politik sesungguhnya dapat dilihat dari capaian siswa terhadap kompetensi kewarganegaraan yaitu pengetahuan kewarganegaraan, sikap kewarganegaraan, dan keterampilan kewarganegaraan dalam partisipasi politik yang bermutu dan bertanggungjawab. Berbagai materi tersebut berguna dalam membuat supaya siswa menjadi warga negara yang memiliki pengetahuan, sikap dan keterampilan agar mereka mampu hidup sebagai warga negara yang memiliki kesadaran politik, serta memiliki kemampuan berpartisipasi dalam politik.
DOI: 10.6084/m9.figshare.12825147.v1
title: Additional file 3 of Boosting toxic protein biosynthesis: transient in vivo inactivation of engineered bacterial alkaline phosphatase

description: Additional file 3. Map, nucleotide and aa sequences of the recombinant pBAD_BAP1 construct. The additional file was prepared using SnapGene software version 4.1 ( http://www.snapgene.com ).
DOI: 10.6084/m9.figshare.17005681.v6
title: ALIGNN models on JARVIS-DFT dataset

description: ALIGNN models on JARVIS-DFT datasethttps://github.com/usnistgov/alignn<br>
DOI: 10.6084/m9.figshare.22331266.v1
title: The Effect of Mindfulness on Mobile Phone Addiction in College Students

description: The datasset is used to construct a moderated mediation model with neuroticism and boredom as mediating variables and epidemic as moderating variables, investigate the positive effects of mindfulness on mobile phone addiction and its mechanism. The results showed that mindfulness negatively predicted mobile phone addiction in college students，neuroticism and boredom played a parallel and chain mediating role between them. The epidemic moderated the relationship between neuroticism and boredom, and the epidemic moderated the relationship between neuroticism and boredom.
DOI: 10.6084/m9.figshare.27636480.v1
title: Finance_Behavior_Dataset.csv

description: This dataset captures demographic, behavioral, and psychological traits related to decision-making, impulsivity, and financial behavior. Each row represents an individual, detailing their <b>age</b> and <b>gender</b> alongside behavioral measures. The <b>Mood_Frequency</b> column reflects how often individuals experience moods that may influence their decision-making processes. The <b>Reward_Pursuit</b> column indicates how frequently they seek rewards, potentially on a numerical scale, with higher values representing a stronger tendency to pursue rewards. <b>Impulsivity</b> captures general impulsive behavior, while <b>Decision_Consistency</b> assesses how consistently individuals make decisions over time. The dataset also measures <b>Risk_Tolerance</b>, showing each person's comfort level with taking risks, and <b>Impulsive_Finance</b>, which reflects the frequency of impulsive financial decisions. <b>High_Risk_Decisions</b> might capture either a date or frequency of engaging in high-risk choices, potentially for tracking behavioral patterns over time.In addition, the dataset records the speed and duration of <b>Satisfaction</b> post-decision, indicating how quickly participants feel satisfied and how long the satisfaction lasts. <b>Pursuit_Next_Reward</b> measures the time it takes for individuals to seek the next reward after achieving satisfaction, reflecting reward-seeking behavior. <b>Review_Adjust_Finance</b> shows how often participants review and adjust their financial strategies, while <b>Decision_Preference</b> describes whether their financial decisions are impulsive or carefully considered. Finally, <b>Confidence_Financial_Decisions</b> captures their self-reported confidence in making financial choices, likely on a scale where higher values represent greater confidence. Overall, the dataset provides a comprehensive view of how personality traits, mood, and impulsivity interact with financial behaviors and decision-making processes.
DOI: 10.17632/6sy9szgwtj
title: DNA target-dependent features dictate Cas12a antimicrobial activity against multidrug-resistant and hypervirulent strains of Klebsiella pneumoniae

description: CRISPR-Cas systems can be utilized as programmable-spectrum antimicrobials to combat bacterial infections. However, how CRISPR nucleases perform as antimicrobials across target sites and strains remains poorly explored. Here, we address this challenge by systematically interrogating the use of CRISPR antimicrobials against multidrug-resistant and hypervirulent strains of Klebsiella pneumoniae. Comparing different Cas nucleases, we found that AsCas12a exhibited robust targeting across different strains. The elucidated modes of escape from this nuclease varied widely, restraining opportunities to enhance killing. We also encountered individual guide RNAs yielding different extents of clearance across strains. The differences were attributed to improper RNA folding, leading to inefficient DNA cleavage and subsequent repair via homologous recombination. To explore targeting features that could improve targeting across strains, we performed a genome-wide guide screen in different K. pneumoniae strains that yielded guide design rules and trained an algorithm for predicting guide efficiency. Finally, we showed that Cas12a antimicrobials can be exploited to kill K. pneumoniae when encoded in phagemids delivered by T7-like phages. Altogether, our results highlight the importance of evaluating antimicrobial activity in the desired strain and define critical parameters for efficient CRISPR-based targeting.
DOI: 10.17632/72kpw79ycj
title: Comparative study of two typical fore-main-aftershock sequences on Chinese mainland

description: The data set contains following files 
1)	Description.docx Word file for description of the dataset and references.
2)	HC_hypoDD.reloc Relocated earthquake catalogue in Haicheng area from 2016 through 2020.
2)	HC_catalog_M1.eqt Catalogue of the Haicheng earthquake sequence.
3)	YB_merged.eqt Merged catalogue of the Yangbi earthquake sequence including relocated and detected event by the M&L method. 
4)	2021_05_18_13_39_M3.9.sacs	Waveform of the main event in the first foreshock cluster. 
5)	2021_05_19_12_05_M4.6.sacs	Waveform of the main event in the second foreshock cluster.
6)	2021_05_21_13_21_M5.6.sacs	Waveform of the largest foreshock.
7)	2021_05_21_13_48_M6.4.sacs	Waveform of the mainshock of the Yangbi earthquake.
8)	2021_05_21_14_31_M5.2.sacs	Waveform of the largest aftershock.
DOI: 10.17632/6hyhsjbwkb
title: PoliMi-TUB dataset - LG 18650HE4 Li-Ion Battery

description: The data was obtained through tests performed at the Institute of Energy and Automation Technology in Technische Universität Berlin, Berlin, Germany with the collaboration of the Politecnico di Milano, Milan, Italy by Dr. Panagiotis Eleftheriadis (elefpana.auth@gmail.com). If this data is employed for any objective, it should be duly cited.

For this study:
A total of 6 2.5Ah LG18650HE4 battery cells were placed in a thermal chamber, specifically the Binder MK53. A Neware battery tester model BTS-4008 was utilized for cycling these battery cells. The dataset was merely pre-processed and transformed into the final structure uploaded. The dataset is suitable for State of Charge and State of Health estimations as well as their joint estimation. All information related to the setup and the test procedure are presented in the article:

[1] Joint State of Charge and State of Health Estimation using Bidirectional LSTM and Bayesian Hyperparameter Optimization
DOI: 10.17632/pbc6nb7hp9
title: Evolutionary multi-objective optimization and Pareto-frontal uncertainty quantification of interatomic forcefields for thermal conductivity simulations

description: Predictive Molecular Dynamics simulations of thermal transport require forcefields that can simultaneously reproduce several structural, thermodynamic and vibrational properties of materials like lattice constants, phonon density of states, and specific heat. This requires a multi-objective optimization approach for forcefield parameterization. Existing methodologies for forcefield parameterization use ad-hoc and empirical weighting schemes to convert this into a single-objective optimization problem. Here, we provide and describe software to perform multi-objective optimization of Stillinger–Weber forcefields (SWFF) for two-dimensional layered materials using the recently developed 3rd generation non-dominated sorting genetic algorithm (NSGA-III). NSGA-III converges to the set of optimal forcefields lying on the Pareto front in the multi-dimensional objective space. This set of forcefields is used for uncertainty quantification of computed thermal conductivity due to variability in the forcefield parameters. We demonstrate this new optimization scheme by constructing a SWFF for a representative two-dimensional material, 2H-MoSe_2 and quantifying the uncertainty in their computed thermal conductivity.
DOI: 10.4121/13061306.v1
title: Speulderbos Terrestrial (TLS) and Unmanned Aerial Vehicle Laser Scanning (UAV-LS) 2017

description: TLS and UAV-LS point clouds for the 2017 Speulderbos Laser Scanning campaign. The data covers ca 2 ha of forest of which are ca 1 ha mature beech and oak and 1 ha of mix between Douglas fir, Norway spruce, giant fir and young beech. Data was acquired while ca half of the deciduous trees still had no leaves.
DOI: 10.6084/m9.figshare.1254445.v3
title: Transreal numbers: Mathematics or Reverie?

description: This paper was presented and published, in Portuguese, in the symposium Os Números dos Mundos (The Numbers of the Worlds) in the 14º Seminário Nacional de História da Ciência e da Tecnologia (14th National Seminar on the History of Science and Technology) promoted by SBHC – Sociedade Brasileira de História da Ciência (Brazilian Society of History of Science) which took place on 08-11 October 2014, in Belo Horizonte, Minas Gerais, Brasil. The web page of the seminar is at http://www.14snhct.sbhc.org.br/ Original version is here: http://dx.doi.org/10.6084/m9.figshare.1254444
DOI: 10.6084/m9.figshare.24893355.v1
title: Climate focus index of public financial institutions

description: We use textual analysis to evaluate PFIs’ climate focus, offering a comparable climate focus index for hundreds of public financial instituions.
DOI: 10.6084/m9.figshare.27988496.v1
title: Raw data from Zhang JZ et al. Cell Chem Bio 2025

description: Raw data from Zhang JZ et al. Cell Chem Bio 2025
DOI: 10.6084/m9.figshare.c.3631397_d1.v1
title: Additional file 2: of An algorithm for the reduction of genome-scale metabolic network models to meaningful core models

description: Reactions, metabolites, the BSR and elementary modes of the reduced Synechocystis model (SynechocystisPrunedComp). (XLS 153 kb)
DOI: 10.17632/b6v7fm27fk
title: Accurately estimating internal temperature of lithium-ion batteries based on the distribution of relaxation time and data-driven

description: Dataset accompanying the paper: "Accurately estimating internal temperature of lithium-ion batteries based on the distribution of relaxation time and data-driven"
DOI: 10.6084/m9.figshare.24633606.v1
title: A diagnostic model for TIW currents from SSH

description: Provide a diagnostic model code (.m, MATLAB) for high-frequency equatorial surface currents estimated from sea surface height (SSH). The model is based on a simplified shallow water equation, see Ref<sup>1</sup> for details. The input and output data (.mat) are also provided. Inputs include the topography, low-pass background currents from OSCAR2, high-pass SSH. Outputs are high-frequency equatorial currents (u', v'). The results are used in a manuscript<sup>2</sup> entitled "Intensification of Pacific Tropical Instability Waves over the recent three decades" recently accepted by Nature Climage Change.Wang, M., Xie, S. P., Shen, S. S., & Du, Y. (2020). Rossby and Yanai modes of tropical instability waves in the equatorial Pacific Ocean and a diagnostic model for surface currents. <i>Journal of Physical Oceanography</i>, <i>50</i>(10), 3009-3024.Wang,M., S.-P. Xie, H. Sasak, M. Nonaka, and Y. Du, 2024: Intensification of Pacific Tropical lnstability Waves over the recent three decades. Nature Clim. Change, accepted
DOI: 10.6084/m9.figshare.25152159.v2
title: Cognitive behavioral therapy for managing depressive and anxiety symptoms after brain injury: a meta-analysis

description: Individuals with traumatic brain injury (TBI) are at increased risk of depression and anxiety, leading to impaired recovery. While cognitive-behavioral therapy (CBT) addresses anxiety and depression maintenance factors, its efficacy among those with TBI has not been clearly demonstrated. This review aims to bridge this gap in the literature. Several databases, including Medline, PsycInfo and EMBASE, were used to identify studies published between 1990 and 2021. Studies were included if: (1) trials were randomized controlled trials (RCT) involving CBT-based intervention targeting anxiety and/or depression; (2) participants experienced brain injury at least 3-months previous; (3) participants were ≥18 years old. An SMD ± SE, 95% CI and heterogeneity were calculated for each outcome. Thirteen RCTs were included in this meta-analysis. The pooled-sample analyses suggest that CBT interventions had small immediate post-treatment effects on reducing depression (SMD ± SE: 0.391 ± 0.126, <i>p</i> &lt; 0.005) and anxiety (SMD ± SE: 0.247 ± 0.081, <i>p</i> &lt; 0.005). Effects were sustained at a 3-months follow-up for depression. A larger effect for CBT was seen when compared with supportive therapy than control. Another sub-analysis found that individualized CBT resulted in a slightly higher effect compared to group-based CBT. This meta-analysis provides substantial evidence for CBT in managing anxiety and depression post-TBI.
DOI: 10.6084/m9.figshare.28387664.v1
title: Metaverse Gait Authentication Dataset (MGAD)

description: <b>1. Dataset Overview</b><br>The <b>Metaverse Gait Authentication Dataset (MGAD)</b> is a large-scale dataset for gait-based biometric authentication in virtual environments. It consists of gait data from <b>5,000 simulated users</b>, generated using <b>Unity 3D</b> and processed using <b>OpenPose and MediaPipe</b>. This dataset is ideal for researchers working on biometric authentication, gait analysis, and AI-driven identity verification systems.<b>2. Data Structure & Format</b><b>File Format:</b> CSV<b>Number of Samples:</b> 5,000 users<b>Number of Features:</b> 16 gait-based features<b>Columns:</b> Each row represents a user with corresponding gait feature values<b>Size:</b> Approximately (mention size in MB/GB after upload)<b>3. Feature Descriptions</b>The dataset includes 16 extracted gait features:<b>Stride Length (m)</b>: Average distance covered in one gait cycle.<b>Step Frequency (steps/min)</b>: Number of steps taken per minute.<b>Stance Phase Duration (s)</b>: Stance phase in a gait cycle.<b>Swing Phase Duration (s)</b>: Duration of the swing phase in a gait cycle.<b>Double Support Phase Duration (s)</b>: Time both feet are in contact with the ground.<b>Step Length (m)</b>: Distance between consecutive foot placements.<b>Cadence Variability (%)</b>: Variability in step rate.<b>Hip Joint Angle (°)</b>: Maximum angle variation in the hip joint.<b>Knee Joint Angle (°)</b>: Maximum flexion-extension knee angle.<b>Ankle Joint Angle (°)</b>: Angle variation at the ankle joint.<b>Avg. Vertical GRF (N)</b>: Average vertical ground reaction force.<b>Avg. Anterior-Posterior GRF (N)</b>: Ground reaction force in the forward-backward direction.<b>Avg. Medial-Lateral GRF (N)</b>: Ground reaction force in the side-to-side direction.<b>Avg. COP Excursion (mm)</b>: Center of pressure movement during stance phase.<b>Foot Clearance during Swing Phase (mm)</b>: Minimum height of the foot during the swing phase.<b>Gait Symmetry Index (%)</b>: Measure of symmetry between left and right gait cycles.<b>4. How to Use the Dataset</b>Load the dataset in Python using Pandas:<br>Use the features for machine learning models in biometric authentication.Apply preprocessing techniques like normalization and feature scaling.Train and evaluate deep learning or ensemble models for gait recognition.<b>5. Citation & License</b>If you use this dataset, please cite it as follows:<b>Sandeep Ravikanti, "Metaverse Gait Authentication Dataset (MGAD)," IEEE DataPort, 2025. DOI: https://dx.doi.org/10.21227/rvh5-8842</b><b>6. Contact Information</b>For inquiries or collaborations, please contact: <b>bitsrmit2023@gmail.com</b>
DOI: 10.6084/m9.figshare.8289044.v1
title: d'Hondt et. al (2019) - Persuasive message elements

description: This dataset includes the list of persuasive message elements implemented in the APMS as discussed in the study '<i>Evaluation of computer-tailored motivational messaging in a health promotion context'</i> by d'Hondt et. al (2019).