cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26200190.v2
title: Data for "Changes in marine sedimentation patterns in the northeastern South China Sea in the past 35000 years"

description: <b>MD18-3545_PSA.xlsx:</b> Particle size analysis results of the sediment core "MD18-3545" in the core depth 0-600 cm.Median sizeKurtosisSkewnessSortingClay %Silt %Sand %Sortable silt mean size
DOI: 10.6084/m9.figshare.28742042.v1
title: <b>Red admiral migration persists over 23 years in the warming eastern Baltic, indicating adaptive navigation</b>

description: Supplementary materials contained tables with raw data of orientation experiments and phenology data + figures of experimental setups and experimental conditions
DOI: 10.6084/m9.figshare.8091686.v1
title: Multivariate linear regression analysis to evaluate multiple-set performance in active and inactive individuals

description: Abstract Aim: To determine how EMG, anthropometric, and psychological factors, and physical activity levels affect isokinetic peak torque performance (IPT) of multiple set exercise sessions. Methods: 20 participants (27±7 years old), classified as active (A=10) and inactive (I=10), performed 10x10:40secs of maximal unilateral knee flexions and extensions at 120o.s-1. The IPT, EMG, glucose, LDH, and lactate concentrations and perceptions of pain, effort, recovery. Results: Active volunteers showed higher muscularity (52±5 vs 47±4 cm; p&lt;0.05), PTI (262±4 vs 185±4 Nm; p&lt;0.05), relative lower drop in performance (14±2 vs 27±3% ; p&lt;0.05), major MDF (83±1 vs 76±1 Hz; p&lt;0.05), lower log -Fins5 (-12.9±0.3 vs -12.7 ± 0.3 Hz; p&lt;0.05), smaller subjective perception of effort (14.8±0.3 vs 17.0±0.3) and higher subjective perception of recovery (14.2±0.2 vs 12.3±0.3). There was a significant interaction between relative fatigue and the number of sets (F=6.18; p&lt;0.001). Stepwise multiple regressions revealed that subjective perception of recovery best explained the fatigue level generated in the active volunteers [fatigue level= 85.084-5255(SPR)] while for body mass was the best determinant for the inactive group [fatigue level = -21.560 +1.828(BMI)]. Conclusion: Data from the present analysis suggest that physically active individuals show higher torque development and a smaller fatigability index when compared to inactive individuals. Among the fatigue models studied, it is possible that alterations in biochemical components, psychophysiological and EMG are not sensitive to the direct influence of the fatigue dynamics protocol, both in active or inactive individuals.
DOI: 10.17632/gk28jrfz8r
title: Article One Appendix Dataset

description: Appendix A
All related Tables for the article
DOI: 10.17632/t3gymkw8b7
title: Scanning Electron Microscopy Imaging of Nanoparticles

description: dataset of electron microscopy images comprising individual nanoparticles consists of total images of the carbon materials with deposited palladium nanoparticles (contains 750 images representing predominantly ordered nanoscale structures). Types of features are sheet borders, grain boundaries, solitary particles, Big bright particles, and circles.
DOI: 10.23644/uu.14769675.v3
title: POST-REVIEW DATASET, CODE, AND PREPRINT (UPDATE 2021/11/04): A harmonised country-level dataset to support the global stocktake regarding loss and damage from climate change

description: DATASET, CODE, AND PREPRINT for: A harmonised country-level dataset to support the global stocktake regarding loss and damage from climate change<br>Submitted for review.<br><b>Abstract</b> Under the Paris Agreement, parties should undertake a global stocktake of progress towards meeting the goals of the agreement and tackling climate change. The first global stocktake will be undertaken in 2023, and an assessment of loss and damage from climate change is an important part of the process. Loss and damage refers to the impacts of climate change felt when mitigation and adaptation efforts are inadequate. Much data, including metrics and indicators relevant for loss and damage, are held in existing global databases, but these are disparate and cannot easily be combined and compared to support the global stocktake. We combine relevant primary data sources to provide a harmonised country-level global dataset containing relevant indicators of: recorded losses and damages from climate-related events; exposure to climate-related events; country vulnerability and adaptation readiness; scientific studies of climate change attribution; financial support for climate adaptation; and contextual governance conditions. The indicators are standardised against country population and GDP where relevant. We describe original data sources, processing steps, and an overview of key indicators in the dataset. We also compare the assembled data to existing global risk databases; namely, the INFORM risk index and the World Risk Index. This comparison, provided in the Supporting Information, shows a large amount of redundancy among vulnerability and governance indicators, and we suggest that creators of new databases and risk indices be clear about data limitations and the gaps specific indices attempt to fill in the global data landscape. We recommend the standard use of ISO codes in future databases of this nature, as well as clear metadata regarding how overseas territories are treated relative to their sovereign state, and information on dissolution and creation of states over time. <br>
DOI: 10.6084/m9.figshare.28451879.v3
title: Under someone else’s name: New combinations and an exquisite new species of Lucuma Molina (Sapotaceae)

description: Dataset Lucuma new species molecular phylogeny
DOI: 10.17632/dfbmyr36kp
title: Fish use of deep-sea sponge habitats revealed by long-term, high-resolution monitoring

description: In this study, we used long-term high-temporal resolution data to gain insights into the functional use of the Sambro Bank Conservation Sponge Grounds by fish. In particular, we aimed at capturing fish behaviour and complex benthopelagic interactions over spatial and extended temporal scales (i.e. 30-minute intervals for 2-8 months, in two separate time periods through 2021-2023). To achieve this, an integrated ecosystem-based monitoring approach was used, involving data collected on the biology (time-lapse image cameras, telemetry, Chl a, video and trawl surveys), food supply (sediment traps), and oceanography (temperature, salinity, current speed and direction). Random forest models, along with time-series analytical approaches, were used to determine what drives the observed spatial and temporal differences in fish occurrences. A total of 21 different planktivorous and benthivorous fish taxa were found utilising the seafloor. We provide the first evidence that sponge grounds are utilised as nurseries by Redfish, urophycid hakes, Silver Hake, and American Plaice. Distinct diel and seasonal patterns were found. Our results also indicated that food availability, sponge density and current speeds are associated with the presence and behaviour of some juvenile and adult fish. We demonstrated that a high temporal resolution ecosystem monitoring approach, in combination with other data types, is essential for understanding how benthic habitats and environmental drivers impact valued natural resources. Such information is crucial for developing and implementing robust, evidence-based policy and management decisions.
DOI: 10.17632/r9cbjnpt52
title: Neuromarketing

description: General Objective: To analyze and assess the recognizability of food logos to determine which ones are more familiar. Specific Objectives: 1. Identify neuronal activation patterns related to food establishment logos to determine key brain areas involved in recognition. 2. Investigate if food establishment logo identification influences EEG-measured neuronal activity, determining whether logos elicit distinct responses compared to the absence of identification. To better understand how marketing strategies influence the perception of food products and the survival of companies in the food sector, it is essential to address the issue of the lack of consumers in restaurants by developing a precise and effective marketing strategy. Currently, the survival of a restaurant depends largely on its presence in the market, making the design of its logo a fundamental element, as it summarizes the business's story in a single symbol. For this study, the null hypothesis (H0) posits that 75% or less of the population can correctly identify companies by their logos. In other words, the null hypothesis assumes that if 75% of the volunteers recognize the logo, it is considered familiar. 15 students where recruited from Tecnológico de Monterrey with residence in the "Distrito Tec," without gender or age restrictions. Procedure: The subject is given instructions and doubts are clarified. Once the consent form for the public use of obtained data is signed the study is initiated. A 1-minute baseline is taken with eyes open, looking at a fixed point while sitting. After this, 30 visual stimuli "logos" from low(&lt;$200 MXN per person), medium ($250-$400 MXN per person), and high-end(&gt;$450 MXN per person) restaurants are randomly displayed for 3 seconds each, each followed by a closed-ended question, "Do you recognize this logo?" . A 3 second interval to respond to the question is given Experimental set up: To record EEG, we will use a UNICORN BLACK device, which has 8 channels, including "Fz, Cz, Pz, Oz, C3, C4, Po7, Po8," and it operates at an SR of 250 Hz. For visual stimulation, a laptop will be used to display the experimental paradigm with a duration of 4 minutes. Processing: Raw data will be stored in EDF and GDF formats
DOI: 10.6084/m9.figshare.14036561.v1
title: Two camera recording of a mouse

description: A two view video of a mouse performing a decision making task. More details can be found in the README file. Data collected by Simon Musall while in the lab of Anne Churchland at Cold Spring Harbor Laboratory. This data is a reformatted subset of the original publicly released dataset available at https://dx.doi.org/10.14224/1.38599.
DOI: 10.6084/m9.figshare.24085986.v2
title: Economic uncertainty, geopolitical risk and U.S. Energy Price risk spillover: An empirical study based on the Risk spillover model ,Risk correlation identification of futures market based on wavelet transform and quantile Granger causality test

description: This data is mainly used to analyze the risk correlation among economic uncertainty, geopolitical risk and energy price, and can also be applied to the TVP-VAR model to analyze the correlation between different variables using the time-varying parameter model, which has great potential for reuse. The risk relationship between economic uncertainty, geopolitical risk and energy price can be analyzed more accurately. At the same time, since it is macroeconomic data, it does not involve any moral and ethical issues
DOI: 10.6084/m9.figshare.25874434.v1
title: The action body-rotating action of human

description: Data is collected from 24Ghz FMCW radar, containing human movements. Serves for signal processing and classification of human actions.
DOI: 10.6084/m9.figshare.26644396.v1
title: The rubber tree (CATAS 7-33-97) T2T genome

description: The rubber tree (CATAS 7-33-97) T2T genome
DOI: 10.6084/m9.figshare.27180129.v1
title: Gale crater - Channel and ridge shapefiles.

description: Polyline shapefiles marking ridges and channels associated with Fan B, Gale crater.
DOI: 10.17632/3j55fmr86g
title: PSTGF: Time-independent R-matrix atomic electron-impact code

description: STGF is a community code employed for outer-region R-matrix calculations, describing electron-impact collisional processes. It is widely recognised that the original version of STGF was written by M.J. Seaton in 1983, but through constant refinement over the next decades by worldwide contributors has evolved into its current form that more reflects modern coding practice and current computer architectures. Despite its current wide acceptance, it was never formally published. Therefore, we present an updated high-performance parallel version of PSTGF, that balances the requirements of small university clusters, yet can exploit the computational power of cutting edge supercomputers. There are many improvements over the original STGF, but most noticeably, the full introduction of MQDT options that provide subsequent integration with ICFT (Intermediate Coupling Frame Transformation) codes, and for either Breit–Pauli/DARC (Dirac Atomic R-matrix Codes), better load balancing, high levels of vectorisation and simplified output. Semantically, the program is full Fortran 90 in conjunction with MPI (Message Passing Interface) though has CUDA Fortran options for the most numerically intensive code sections.
DOI: 10.6084/m9.figshare.19362971.v1
title: WIFI-HANDSHAKE: Analysis of password patterns in WI-FI networks

description: WIFI-HANDSHAKE: Analysis of password patterns in Wi-Fi networks Adrian-Carballal, J. Pablo Galego-Carro, Nereida Rodriguez-Fernandez and Carlos Fernandez-Lozano PeerJ Computer Science <br> This paper seeks to provide a snapshot of the security of Wi-Fi access points in the metropolitan area of A Coruña. First, we discuss the options for obtaining a tool that allows the collection and storage of auditable information from Wi-Fi networks, from location to signal strength, security protocol or the list of connected clients. Subsequently, an analysis is carried out aimed at identifying password patterns in Wi-Fi networks with WEP, WPA and WPA2 security protocols. For this purpose, a password recovery tool called Hashcat was used to execute dictionary or brute force attacks, among others, with various word collections. The coverage of the access points in which passwords were decrypted is displayed on a heat map that represents various levels of signal quality depending on the signal strength. From the handshakes obtained, and by means of brute force, we will try to crack as many passwords as possible in order to create a targeted and contextualized dictionary both by geographical location and by the nature of the owner of the access point. Finally, we will propose a contextualized grammar that minimizes the size of the dictionary with respect to the most used ones and unifies the decryption capacity of the combination of all of them. <br> <strong>CITATION: </strong> <br> Carballal A, Galego-Carro JP, Rodriguez-Fernandez N, Fernandez-Lozano C. 2022. Wi-Fi Handshake: analysis of password patterns in Wi-Fi networks. <em>PeerJ Computer Science</em> 8:e1185 https://doi.org/10.7717/peerj-cs.1185
DOI: 10.6084/m9.figshare.25583616.v1
title: Discussion of “Mixed Velocity Scale for Predicting Bed-Material Sediment Discharges in Open Channel Flows” By Nian-Sheng Cheng et al. DOI:10.1061/JHEND8.HYENG-13819

description: The code and dataset used to generate figures in Discussion of “Mixed Velocity Scale for Predicting Bed-Material Sediment Discharges in Open Channel Flows” By Nian-Sheng Cheng et al. DOI:10.1061/JHEND8.HYENG-13819
DOI: 10.6084/m9.figshare.7735094.v1
title: The dynamics of diachronous extinction associated with climatic deterioration near the Neogene/Quaternary boundary

description: Raw size and abundance data of 16,091 specimens of planktonic foraminifera of the species Globoconella puncticulata, across 6 Atlantic sites over 600,000 years, and scaled flux and area data for use in linear mixed effect models.<br><br>
DOI: 10.17632/58hzp48z8y
title: Datasets for Deep Learning for Classifying and Characterizing Atmospheric Ducting Within the Maritime Setting

description: Propagation factors are sparsely sampled along a horizontal flight path, at an altitude of 6m and range between 20 and 50km, within the rectangular 2D problem domain described in the associated article. We consider evaporation ducting environments with varying duct heights as well as surface-based ducting environments with varying combinations of base height, duct thickness, and M-deficit. Datasets are generated using the open source software, PETOOL, by Ozgun et al. 2011 (doi: 10.17632/yh42r43cpy.1). Code for processing data and training/evaluating the deep learning model can be found at: https://github.com/nonlinearfun/deep-learning-em-ducting
DOI: 10.17632/5cmncz59nx
title: Data for: Selecting the Optimal Antenna for Microwave Fracturing of Igneous Rocks

description: The datasets are for the manuscript: Selecting the Optimal Antenna for Microwave Fracturing of Igneous Rocks. They contian the antenna dimenson and the corresponding microwave power density (Table S1 and S2), the rock mineralogies (Table S3) and the heating and damage of the rock specimens when using the four different microwave antennas (Table S4).
DOI: 10.17632/d3dt5tb74h
title: mmFiT: mmWave Radar Point-Cloud Dataset of Human Fitness Activities

description: The presented dataset pertains to collection of point cloud data of seven human physical activities collected using a commercial mmwave radar working in the 77-81 GHz band. The radar used for this experiment was TI IWR1642 sensor. These seven physical activities are Dumbbell, Shoulder Press, Squat, Lateral Raise, Boxing, Right Tricep and Left Tricep. These activities have been labelled 1 to 7 respectively. Two users participated in this data collection in the age group of 25-30 years. Please refer the Readme.pdf file for more details. If this dataset or codes help you, you can cite this as: G. Tiwari and S. Gupta, "An mmWave Radar Based Real-Time Contactless Fitness Tracker Using Deep CNNs," in IEEE Sensors Journal, vol. 21, no. 15, pp. 17262-17270, 1 Aug.1, 2021, doi: 10.1109/JSEN.2021.3077511.
DOI: 10.4121/22096307.v1
title: Dataset accompanying the publication: Introducing Power-to-H3: combining renewable electricity with heat, water and hydrogen production and storage in a neighbourhood

description: This dataset contains raw model results from 2 different scenario's as part of a publication on the the Power-to-H3 concept for system integration in a neigbhourhood energy- and water system. It is being made public to act as supplementary data for publication(s) and the PhD thesis of Els van der Roest. Also, it might be used by other researhers. <br> The dataset was created during model runs in the period between January 2019 - April 2019. <br> Abstract of the paper: In the transition from fossil to renewable energy, the energy system should become clean, while remaining reliable and affordable. Because of the intermittent nature of both renewable energy production and energy demand, an integrated system approach is required that includes energy conversion and storage. We propose a concept for a neighbourhood where locally produced renewable energy is partly converted and stored in the form of heat and hydrogen, accompanied by rainwater collection, storage, purification and use (Power-to-H3). A model is developed to create an energy balance and perform a techno-economic analysis, including an analysis of the avoided costs within the concept. The results show that a solar park of 8.7 MWp combined with rainwater collection and solar panels on roofs, can supply 900 houses over the year with heat (20 TJ) via an underground heat storage system as well as with almost half of their water demand (36,000 m3) and 540 hydrogen electric vehicles can be supplied with hydrogen (90 tonnes). The production costs for both hydrogen (8.7 €/kg) and heat (26 €/GJ) are below the current end user selling price in the Netherlands (10 €/kg and 34 €/GJ), making the system affordable. When taking avoided costs into account, the prices could decrease with 20–26%, while at the same time avoiding 3600 tonnes of CO2 a year. These results make clear that it is possible to provide a neighbourhood with all these different utilities, completely based on solar power and rainwater in a reliable, affordable and clean way.
DOI: 10.6084/m9.figshare.23055821.v1
title: de Zwaan_2024_Global Change Biology_data

description: Cleaned and organized data required to reproduce the analysis for the manuscript:<br>de Zwaan, D.R., Huang, A., Fox, C.H., Bradley, D.W., & Ethier, D.M. (2024). Occupancy trends of overwintering coastal waterbird communities reveal guild-specific patterns of redistribution and shifting reliance on existing Protected Areas. Global Change Biology.<br>Includes two datasets: 1) 'count_data' - cleaned version of the raw Coastal Waterbird Survey data with columns needed to model effort and detection probability, and 2) 'environment_data' - surface water and coast structure variables to fit occupancy models.<br>Raw count data were accessed from NatureCounts: https://www.birdscanada.org/naturecounts/default/main.jsp<br>For sources and descriptions of environmental data, see manuscript and supplementary appendix.
DOI: 10.6084/m9.figshare.25151675.v1
title: Drosophila_yakuba_mayottensis_H-scan

description: H-scan analysis for Drosophila yakuba mayottensis: 3 subpopulations from Bambo Est (BE), Soulou (SOU) and M'Tsangomouji (MTS).
DOI: 10.6084/m9.figshare.28280339.v4
title: source data for chemical experiments and theoretical calculations .xlsx

description: source data for chemical experiments and theoretical calculations.
DOI: 10.6084/m9.figshare.7380767.v3
title: Tick data used in "Human pathogen co-occurrence in Ixodes ricinus ticks: effects of landscape topography, climatic factors and microbiota interactions"

description: Within-tick communities based on 16S sequencing of whole tick bodies and related environmental data on replicated altitudinal gradient transects in Central Switzerland.
DOI: 10.6084/m9.figshare.7707029.v1
title: Florida Bay Diel

description: This folder contains raw and processed data associated with a diel carbonate chemistry study which took place in two seagrass meadows in NE Florida Bay. The file NEP_NEC.csv presents the processed NEP_DO, NEP_DIC, gas fluxes, and NEC values. The remaining files contain raw data used throughout the manuscript.
DOI: 10.17605/osf.io/6eymw
title: Advancing Statistical Literacy in Eye Care: A Series for Enhanced Clinical Decision-Making

description: This project seeks to elevate the statistical proficiency of eye care professionals to enhance clinical decision-making and research integrity within the field of ophthalmology. The inaugural part of the series, titled "Introduction to Statistical Tools for Eye Care Research," is authored by Daniela Oehring from the Faculty of Health at the University of Plymouth, UK and Pedro Miguel Serra from Ophthalmology Clinic Vista Sanchez Trancon, Spain. The study addresses the critical need for robust statistical understanding to evaluate and conduct high-quality research, thereby reducing research waste and improving evidence-based practices in eye and vision care.
Employing a dual methodological approach, the project conducts a comprehensive narrative literature review to identify key statistical concepts, common methodological flaws, and best practices specific to eye care research. Additionally, it generates simulated clinical datasets using Python to provide practical examples and visual illustrations of these statistical tools. These datasets encompass variables such as pupil diameter, refractive error, and central corneal thickness with intraocular pressure, mirroring realistic clinical scenarios.
All simulated datasets and related materials are made available through the OSF to ensure transparency, reproducibility, and accessibility for researchers and clinicians. By bridging theoretical knowledge with practical application, this project aims to foster a deeper understanding of statistical methods, ultimately leading to more reliable research outcomes and improved patient care in the realm of eye health.
DOI: 10.6084/m9.figshare.28602041.v1
title: Absence Of Undergraduate Medical Students From Clinical Rotations

description: To identify the causes behind the absenteeism of undergraduate medical students from clinical wards. The deficiencies in clinical faculty impacting their attendance and what can be done to improve this in the coming years.<br>