cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/43tg43yh43
title: Higher Education Student Knowledge on Recent Technology

description: This data shows the higher education student knowledge on recent technology such as Artificial Intelligence, Augmented Reality / Virtual Reality, and Metaverse
DOI: 10.17632/9p6swzbncs
title: Data for: Fully Decentralized Robust Backstepping Voltage Control of Photovoltaic Systems for DC Islanded Microgrids Based on Disturbance Observer Method

description: The STM32f407 codes which can be generated with WAIJUNG toolbox in Matlab/Simulinkis included as well as Psim simulations are included.
DOI: 10.17632/j9fjs9scgd
title: Data for: An injectable, degradable hydrogel plug for single-surgery tracheal occlusion in congenital diaphragmatic hernia (CDH)

description: Csv files containing raw data for rheological characterization of calcium alginate and methyl cellulose/hylauronan injectable hydrogels. File name indicates sample type, concentration and test mode (time sweep, frequency sweep, stress sweep, stress ramp). To prepare calcium alginate gels, alginic acid sodium salt (Fluka Analytical 71240, Mw = 1.2 - 1.9 x 105 g mol-1, M/G ratio = 1.56), was dissolved w/v in deionized water. CaCO3 (1/4 over alginate monomer moles) was added as the insoluble calcium source and vortexed until a homogeneous dispersion was obtained. Freshly made solution of D-Gluconic acid-δ-lactone (GDL) in deionized water was allowed to hydrolyse and reach a pH of 2.6 – 2.8 and mixed to Ca-alginate solutions at the same molarity of alginate and the mixtures was used after stirring for about 15 seconds. Hyaluronan/methylcellulose (HA-MC) gels were prepared with MC with two different viscosities (HV = high viscosity MC - Methocel A4M and LV = low viscosity MC - A15 PREM LV) dissolved in Dulbecco's phosphate-buffered saline (D-PBS) heated at 55 °C. After stirring, the solution was allowed to equilibrate at 4 °C overnight. Hyaluronic acid sodium salt from Streptococcus equi (Mw = 1.5 – 1.8 x 106 g mol-1) was added to MC solutions and again maintained overnight at 4 °C. Rheological test were performed using a CVO 120 stress controlled Rotational Rheometer (Bohlin Instruments) using parallel plates, except for steady shear measurements where a cone-plate geometry (φ = 40 mm, θ = 1°) was used.
DOI: 10.17632/nc3xmkzrk7
title: Investigating soil desiccation cracking using infrared thermal imaging technique

description: Figures
DOI: 10.17632/vf4ckw66cy
title: Weather and electric load dataset

description: The present dataset combines the details of hourly load variation with the hourly weather parameters. The load dataset has been obtained from one of the substations (location Ahmedabad) and weather parameters dataset has been extracted from the NASA open-source website.
DOI: 10.17632/xb6jvfwmfk
title: Nutrient and Metal Amounts in Permafrost and Active Layer Soils at the Stordalen Mire, Abisko Sweden

description: We assessed how nutrients, solutes, and metals vary in permafrost soil and in the active layers across four plant communities undergoing permafrost thaw at the Stordalen Mire in Abisko Sweden. We hypothesized that nutrient availability shifts from low nitrogen and phosphorus to high nitrogen and phosphorus amounts across plant communities with increasing thaw depth.  Although nutrient availability did not shift from low to high nitrogen and phosphorus across plant communities with increasing thaw depth as hypothesized, nutrient availability immediately increased in the thaw front (rich Sphagnum lawn), and returned to low nitrogen and phosphorus availability in the tall graminoid fen, where permafrost was no longer intact. Despite high amounts of acid digestible phosphorus, available P (Presin) amount was low in the permafrost and tall graminoid fen soils, likely due to P sorption with iron. While permafrost soils had high amounts of nitrogen, phosphorus, and metals, dissolved organic carbon amounts were low.
DOI: 10.17632/xpc6vjr8gb
title: OrgAlkCalc.py:  Estimation of organic alkalinity quantity and acid-base properties titration dataset

description: Organic alkalinity (OrgAlk) titration data collected using modified Global Ocean Acidification Observing Network (GOA-ON) total alkalinity (TA) titration apparatus is presented in this data article. This titration data was processed using OrgAlkCalc.py, a bespoke Python based non-linear least squares curve fitting program that estimates the quantity and associated acid-base properties of OrgAlk. This allows user to provide estimations of the concentrations and apparent dissociation constants of OrgAlk for inclusion in carbonate system calculations where TA is an input parameter, with the aim to minimize OrgAlk associated error propagation to calculated parameters. The reuse potential of data presented is through its use in user familiarization with OrgAlkCalc.py, allowing carbonate chemistry researchers who utilize GOA-ON TA titration apparatus to gain insights into the quantity and acid-base properties of OrgAlk.
DOI: 10.6084/m9.figshare.12818702.v1
title: QM_137k_training.pkl.gz

description: This dataset contains training data for the multi-task constraining model for the QM descriptors on-the-fly computations. https://github.com/yanfeiguan/chemprop
DOI: 10.6084/m9.figshare.16922446.v1
title: Predicting the future of excitation energy transfer in light-harvesting complex with artificial intelligence-based quantum dynamics

description: Here we only provide the trained ML model, the code can be found at Arif-PhyChem/AIQD_FMO (github.com)<br>
DOI: 10.6084/m9.figshare.27935430.v1
title: NADI dataset

description: NADI, is an Arabic dialect corpus
DOI: 10.6084/m9.figshare.29014334.v1
title: TIMSS-2019

description: Elementary students' scores in mathematics TIMSS-2019
DOI: 10.6084/m9.figshare.8137871.v1
title: Instances of the Shortest Common Supersequence Problem

description: Shortest Common Supersequence Problem: https://en.wikipedia.org/wiki/Shortest_common_supersequence_problem<br>Each problem instance comprises <i>n</i> strings (each of them of a possibly different length) taken from an alphabet with <i>m</i> symbols. <br><br>The collection includes both randomly generated instances and instances obtained from biological sequences.<br>
DOI: 10.6084/m9.figshare.c.3677731_d1.v1
title: Additional file 1: of Computer-based comparison of different methods for selecting mitral annuloplasty ring size

description: Measurements of mitral annulus dimensions extracted from Mitralyzer software. (XLSX 42Â kb)
DOI: 10.17632/br8kfpkpzn
title: Increase in CH4 emissions in Pantanal wetland lagoon due to extreme drought and sediment exposure

description: The Pantanal is one of the largest and most unique wetlands on the planet, holding significant carbon stocks in its soils, freshwater and saline-alkaline ecosystems. Despite its importance, it faces threats from natural and man-induced fires, inadequate soil management, deforestation, and the impacts of climate change, such as severe drought-heat events, which may increase CH4 emissions. Given the importance of this ecosystem, we investigated methane (CH4) emissions from limnetic zone, sediments, and marginal soils in a drying lagoon in the Pantanal during a drought period unprecedented in over 75 years. The highest emissions occurred during the drying event, primarily when the water column decreased (7.05 mg CH₄ m⁻² day⁻¹) and along the margins (2.98 mg CH₄ m⁻² day⁻¹). This indicates that the lowering of the water column and exposed sediments became a significant source of CH₄ emissions. Our results suggest that these environments can become large CH₄ emitters during drying events, although current CH₄ emission models underestimate their contribution. With the expected increase in drying events in the Pantanal, it is likely that CH₄ emissions will rise in the coming years, exacerbating global warming and intensifying climate change.
DOI: 10.17632/pc6fxc95h5
title: Airline reviews dataset for Abstractive Summarization and Sentiment Classification

description: annotated_abs_summ.csv contains 500 airline review and summary pairs.
annotated_sentiment.csv contains 1100 airline reviews annotated for sentiment analysis.
review_titles_data.csv contains 7079 airline review and title pairs.
DOI: 10.6084/m9.figshare.14207702.v3
title: Panel Data: Measuring Fiscal and Monetary Policy Impacts on Aggregate Economic Growth (1977-2016)

description: The dataset has been originally extracted from the "World Development Indicators" database made publicly available by the World Bank (https://databank.worldbank.org). The author's actions include filtering the data and organizing the data for statistical analysis. The filtered data saved in the source can be accessed from the referenced link. The dataset includes 40 years of longitudinal data on 76 macroeconomic variables for 100 countries.<br>
DOI: 10.6084/m9.figshare.14552286.v4
title: Environmental Justice Data 2019

description: The EJSCREEN environmental justice dataset is from EPA at https://www.epa.gov/ejscreen/download-ejscreen-data.<br>Here we focus on the datasets corresponding to six states (Indiana, Louisiana, Iowa, Florida, New Hampshire and Vermont) for the year 2019.<br><br>The curated datasets are included here along with a research question and guiding questions.<br>See the codebook for full details.
DOI: 10.6084/m9.figshare.22786730.v3
title: <strong>AIMD-Chig: exploring the conformational space of 166-atom protein </strong><em><strong>Chignolin</strong></em><strong> with </strong><em><strong>ab initio</strong></em> <strong>molecular dynamics</strong>

description: Chig-AIMD is an MD dataset including 2 million conformations of 166-atom protein Chignolin sampled at the density functional theory (DFT) level with 7,763,146 CPU hours. 10,000 conformations were initialized covering the whole conformational space of Chignolin, including folded, unfolded, and metastable states. <em>Ab initio</em> simulations were driven by M062X/6-31G* with a Berendsen thermostat at 340K. We reported coordinates, energies, and forces for each conformation.
DOI: 10.6084/m9.figshare.25521931.v1
title: <b>补充数据集</b>

description: 补充 DATA 大学生社交情感能力和学业倦怠
DOI: 10.6084/m9.figshare.27681999.v1
title: Data and analysis codes (Lee, Shokrian, et al. 2024 eLife)

description: This Zip file contains the measurement data and the analysis codes of Lee, Shokrian, et al., 2024 in eLife.
DOI: 10.6084/m9.figshare.28464020.v1
title: SNP data of 87193 SNPs across 335 common bean accessions

description: Genome-wide association study of ashy stem blight resistance in 335 common bean accessions using 17893 SNPs.
DOI: 10.6084/m9.figshare.7678007.v1
title: Feynman's optical focusing system

description: Abstract We analyze the behavior of an optical focusing system, used by Richard Feynman in his famous physics classes. The system is a biconvex optical lens with symmetry of revolution around an axis, defined by the property that the rays that start from a point source, located in a focus on the axis, converge to an image point on the other side of the lens, so that the light waves on them arrive simultaneously at this last point. This ensures that the waves of a given frequency, traveling according to different paths from one focus to the other through air and glass, complete the same number of cycles when they reach the image point and therefore interfere in phase with each other. In this work we explicitly show that the profile of the Feynman lens must be hyperbolic, a form that for paraxial rays eliminates the spherical aberration (but not the chromatic aberration) of the lens.
DOI: 10.17632/3f4w7p2t8k
title: Documents of systematic review process

description: The data is the record document of articles supporting research about digital twin, BIM, and blockchain
DOI: 10.17632/4286rg7dps
title: High-Speed High-Energy X-ray Imaging of Friction Stir Welding 6061-T6 Aluminum - Mfg Letters 2022

description: This dataset contains the raw files and experimental details for the manuscript "Material Flow Visualization during Friction Stir Welding using High-Speed X-Ray Imaging". This study employs high-speed X-ray imaging to capture the process dynamics during FSW in-situ , using a high-intensity X-ray beam to image a 2 mm x 2 mm area at 20,000 frames per second. The friction stir (FS) tool made of H13 tool steel with threads and 3-flats on the probe was used in an aluminum 6061-T6 workpiece. The process parameters employed result in a fully consolidated weldment without any observable sub-surface voids. The density changes captured by the high-intensity X-ray beam show the formation and filling of cavities in the wake of the tool three times per rotation.
This shared data contains the following files and folders:
1) Cross-sections: Contains traverse and lateral cross-sectional views of frictions stir welded specimen.
2) X-ray stills: Contains 3000 frames of X-ray still images taken during the friction stir weld.
3) Experimental settings file: Information on friction stir tool, welding parameters and imaging parameters.
4) Supplementary video file
The video file was processed using ImageJ software. The 3000 frames were imported as an image sequence using a virtual stacked mode. 
The data was collected on 6/10/22 by Hemant Agiwal, Mohammad Ali Ansari, Daniel Franke, Patrick Faue, and Frank E. Pfefferkorn.
Advanced Photon Source contacts: Samuel J. Clark, Alex Deriy, and Kamel Fezzaa
This research used resources of the Advanced Photon Source, a US Department of Energy (DOE) Office of Science user facility operated for the DOE Office of Science by Argonne National Laboratory under Contract No. DE-AC02-06CH11357. The study was funded through the National Science Foundation (grant 1826104).
Accepted manuscript: Agiwal, Hemant, Mohammad Ali Ansari, Daniel Franke, Patrick Faue, Samuel J. Clark, Kamel Fezzaa, Shiva Rudraraju, Michael Zinn, and Frank E. Pfefferkorn. "Material Flow Visualization during Friction Stir Welding using High-Speed X-Ray Imaging." Manufacturing Letters (2022).
DOI: 10.6084/m9.figshare.10265309.v1
title: To give or not to take – insular cortex subserves framing-induced boosts in generosity during social discounting

description: Behavioral data of 4 studies about the framing effect on social discounting. Imaging data are available in XNAT Central (https://central.xnat.org/) under the project name ‘Framesocdisc’
DOI: 10.6084/m9.figshare.4233782.v2
title: Representation of the German transmission grid for Renewable Energy Sources impact analysis

description: This file is presented here as a zipped directory. The directory itself contains 5 other directories, one for each value of renewable energy penetration as described in the associated data descriptor.
DOI: 10.6084/m9.figshare.5856912.v5
title: Transcriptome data of the zebra bullhead shark

description: Supplementary data of Onimaru et al., "A de novo transcriptome assembly of the zebra bullhead shark,<i> </i><i>Heterodontus zebra</i>"
DOI: 10.17632/ndzj97x62x
title: Data for: Application of Cost-Sensitive LSTM in Water Level Prediction for Nuclear Reactor Pressurizer

description: data: Normalized data sampled from a nuclear power plant simulator, including pressurizer water level and other six parameters according to the transient process of increasing reactor power from 30% to 90%. code: including CSLSTM, LSTM and SVR models in two experiment settings, i.e. global learning setting and local learning setting.
DOI: 10.17632/s367bfmycp
title: Islamic Finance Modes in Islamic Banking Industry of Pakistan

description: Quarterly data of Islamic finance modes being used in the Islamic banking industry in Pakistan. The source of data is the Islamic banking bulletin quarterly issued by the Islamic banking department, state Bank of Pakistan.
DOI: 10.6084/m9.figshare.1228157.v3
title: Selected most parsimonious tree with taxon names

description: Selected most parsimonious tree resulting from analysis of morphological matrix for phylogeny of Asilidae from Dikow 2009 with taxon names.
DOI: 10.6084/m9.figshare.14695404.v1
title: R-script and Data for STOTEN-D-21-08485

description: Here are the R-script and data we used for main analyses and Figures in our paper STOTEN-D-21-08485 "Contrasting life-history traits of black spruce and jack pine influence their physiological response to drought and growth recovery in northeastern boreal Canada"<br>Code for supplementary figures was not provided here, except for the PCA analysis. However, these Supplementary figures can be easily obtained by simply switching variables in statistical models and the corresponding ggplot script. <br>Only processed data is provided. If needed, raw data could be obtained upon request to william.marchand@uqat.ca (for C isotope data; raw 18O isotope data are provided as they are used for supplementary figures) and sylvie.gauthier2@canada.ca (for tree-ring data; that is part of a provincial forest inventory database).<br>Importantly, please note that a few random noise was added to plot coordinates. This was done because these plots are part of a forest inventory network, and the provincial agencies in charge of the database want to keep plot coordinates confidential.
DOI: 10.6084/m9.figshare.19658538.v2
title: High-temperature multi-element 2021 (HME21) dataset

description: HME21 is the atomic structure dataset aimed for the neural network potential development. It was created in the development of PFP, a universal neural network potential for material discovery [1]. It contains multiple elements in a single structure and was sampled through a high-temperature molecular dynamics simulation. There are a total of 37 elements in the HME21 dataset, i.e., H, Li, C, N, O, F, Na, Mg, Al, Si, P, S, Cl, K, Ca, Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Mo, Ru, Rh, Pd, Ag, In, Sn, Ba, Ir, Pt, Au, and Pb. They are calculated by Spin-polarized DFT calculations using PBE exchange-correlation functional implemented in VASP [2] version 5.4.4. All structures are under periodic boundary conditions. For the details of DFT calculation conditions and structure sampling method, please see the reference [1]. Please cite the reference [1] if you use this dataset. Files HME21 consists of three files with extxyz format: train.xyz: 19956 structures valid.xyz: 2498 structures test.xyz 2495 structures The structures were randomly split into training, validation, and test sub-datasets at a ratio of 8:1:1. They are used as training, validation, and test dataset for the benchmark of neural network potentials [1]. The target values are energy and atomic forces. The energy is shifted such that the energy of a single atom located in a vacuum becomes zero. The length is in angstroms (10^−10 m), and the energy is in electronvolts (eV). For supplementary, <em>vasp_shift_energies.json</em> which corresponds to the reference energy of single atom for each element is also included.
DOI: 10.6084/m9.figshare.24593022.v1
title: FTIR raw data files

description: As received polymers analyzed by Fourier Transform Infrared Spectroscopy (FTIR), CSV files for FTIR spectra.
DOI: 10.6084/m9.figshare.3123181.v1
title: Indonesia locations and events 1500-1877 (KMZ file). Waves of destruction in the East Indies: the Wichmann catalogue of earthquakes and tsunami in the Indonesian region from 1538 to 1877

description: Translation of the catalogues into English, scanned PDFs of the original, and geographical locations of most place names found in the catalogue (as a KMZ file)
DOI: 10.6084/m9.figshare.9600236.v1
title: Additional file 4: of Guide for library design and bias correction for large-scale transcriptome studies using highly multiplexed RNAseq methods

description: Raw read counts of THP-1 libraries before the library bias correction (TXT 2541 kb)
DOI: 10.6084/m9.figshare.12185115.v1
title: supplemental data for RT-qPCR

description: raw ct values and delta-delta calculation of results.
DOI: 10.6084/m9.figshare.25331110.v2
title: jumbo dataset 1

description: data set for jumbo project
DOI: 10.6084/m9.figshare.26300392.v2
title: Dataset and Source Code for the Paper "A Framework for Developing Strategic Cyber Threat Intelligence from Advanced Persistent Threat Analysis Reports Using Graph-Based Algorithms"

description: Here are the data set and source code related to the paper: "A Framework for Developing Strategic Cyber Threat Intelligence from Advanced Persistent Threat Analysis Reports Using Graph-Based Algorithms"<br>1- aptnotes-downloader.zip : contains source code that downloads all APT reports listed in https://github.com/aptnotes/data and https://github.com/CyberMonitor/APT_CyberCriminal_Campagin_Collections<br>2- apt-groups.zip : contains all APT group names gathered from https://docs.google.com/spreadsheets/d/1H9_xaxQHpWaa4O_Son4Gx0YOIzlcBWMsdvePFX68EKU/edit?gid=1864660085#gid=1864660085 and https://malpedia.caad.fkie.fraunhofer.de/actorsand https://malpedia.caad.fkie.fraunhofer.de/actors<br>3- apt-reports.zip : contains all deduplicated APT reports gathered from https://github.com/aptnotes/data and https://github.com/CyberMonitor/APT_CyberCriminal_Campagin_Collections<br>4- countries.zip : contains country name list. <br>5- ttps.zip : contains all MITRE techniques gathered from https://attack.mitre.org/resources/attack-data-and-tools/<br>6- malware-families.zip : contains all malware family names gathered from https://malpedia.caad.fkie.fraunhofer.de/families<br>7- ioc-searcher-app.zip : contains source code that extracts IoCs from APT reports. Extracted IoC files are provided in report-analyser.zip. Original code repo can be found at https://github.com/malicialab/iocsearcher<br>8- extracted-iocs.zip : contains extracted IoCs by ioc-searcher-app.zip<br>9- report-analyser.zip : contains source code that searchs APT reports, malware families, countries and TTPs. I case of a match, it updates files in extracted-iocs.zip. <br>10- cti-transformation-app.zip : contains source code that transforms files in extracted-iocs.zip to CTI triples and saves into Neo4j graph database.<br>11- graph-db-backup.zip : contains volume folder of Neo4j Docker container. When it is mounted to a Docker container, all CTI database becomes reachable from Neo4j web interface. Here is how to run a Neo4j Docker container that mounts folder in the zip:<br>docker run -d --publish=7474:7474 --publish=7687:7687 --volume={PATH_TO_VOLUME}/DEVIL_NEO4J_VOLUME/neo4j/data:/data --volume={PATH_TO_VOLUME}/DEVIL_NEO4J_VOLUME/neo4j/plugins:/plugins --volume={PATH_TO_VOLUME}/DEVIL_NEO4J_VOLUME/neo4j/logs:/logs --volume={PATH_TO_VOLUME}/DEVIL_NEO4J_VOLUME/neo4j/conf:/conf --env 'NEO4J_PLUGINS=["apoc","graph-data-science"]' --env NEO4J_apoc_export_file_enabled=true --env NEO4J_apoc_import_file_enabled=true --env NEO4J_apoc_import_file_use__neo4j__config=true --env=NEO4J_AUTH=none neo4j:5.13.0<br>web interface: http://localhost:7474username: neo4jpassword: neo4j<br><br>
DOI: 10.6084/m9.figshare.28682162.v1
title: DATA Evaluating the Effectiveness of AI-Driven Business Intelligence Systems in the Malaysian Insurance Industry.doc

description: <b>Evaluating the Effectiveness of AI-Driven Business Intelligence Systems in the Malaysian Insurance Industry</b>
DOI: 10.17632/8wsm6tkh6n
title: Metabolomics data for Kamrad et al (2025) "Interspecies interactions drive proteome reorganization and emergent metabolism in gut bacteria"

description: This repository contains raw data, processed data and code used for analysis associated with Kamrad et al (2025) "Interspecies interactions drive proteome reorganization and emergent metabolism in gut bacteria". Data was acquired on an Agilent 1290 Infinity II liquid chromatography system coupled to an Agilent 6470B QQQ mass spectrometer operated in dMRM mode. Raw data files, MassHunter Quantitative Analysis batch files and csv exports are found within the individual zip files (one per analysis batch and method). The jupyter notebooks contain code used for analysis and to generate the figures in the manuscript. The file "20240509_metabolomicsData_long.csv" contains is a single compiled table of all data points.