cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/v9s3bhn27k
title: Central Asian modulation of Northern Hemisphere moisture transfer over the Late Cenozoic - Dataset

description: This database contains Supplementary Data 1 to 7 published in the following article Central Asian modulation of Northern Hemisphere moisture transfer over the Late Cenozoic by Prud'homme et al., in Communications in Earth and Environment (2021) DOI 10.1038/s43247-021-00173-z Supplementary figures and tables are available in the supplementary file of the article.
DOI: 10.6084/m9.figshare.20514228.v1
title: DE Bldgs - ORNL USA Structure Dataset

description: Delaware building outline dataset.
DOI: 10.6084/m9.figshare.28924481.v1
title: Matriz Bibliografica.xlsx

description: Este archivo contiene la matriz bibliográfica completa utilizada en la investigación documental titulada <i>"El Sistema Nacional de Capacitación en Género (SNCG) en la promoción de liderazgo femenino en universidades panameñas".</i> La matriz sistematiza 32 fuentes académicas nacionales e internacionales, incluyendo artículos científicos, documentos normativos y tesis, con el objetivo de analizar la implementación del SNCG y su impacto en la equidad de género en la educación superior. Esta herramienta fue clave para estructurar la discusión y evaluación crítica de las políticas de igualdad en el ámbito universitario.
DOI: 10.17632/24gc7456br
title: .Optimization of Table Tennis Swing Action Supported by the Temporal Convolutional Network Algorithm in Deep Learning

description: To improve the swing of table tennis more accurately, an improved temporal convolutional network (TCN) algorithm is proposed to capture the temporal relationship and spatial characteristics in the swing action. Firstly, the basic structure of table tennis swing action recognition based on TCN has been studied, and algorithm improvements have been made to recognize table tennis swing action. In the algorithm improvement stage, the activation function is adjusted by replacing the traditional Rectified Linear Unit (ReLU) with Leaky ReLU, effectively avoiding the problem of gradient vanishing and better capturing the temporal relationships and spatial characteristics in table tennis swing actions. Secondly, the network structure is optimized by replacing the fully connected layer with the global average pooling layer to reduce the complexity and computational burden of the model. Finally, the residual structure in the network is fine-tuned to enhance the model's adaptability to swing action features. In the experimental stage, this study evaluates the model using the OpenTTGames dataset, which contains 55582 data samples, and divides the training and testing sets in a 3:2 ratio. The results reveal that the proposed improved TCN has achieved significant results in table tennis swing action recognition, with an algorithm recognition accuracy of 99.43%, and a recall, accuracy, and F1 value of 99.00%. The recognition accuracy of this algorithm is 10.57%, 3.65%, and 2.70% higher than that of TCN, Long Short-Term Memory (LSTM), and Convolutional Neural Network-LSTM (CNN-LSTM) algorithms. The recognition performance of the model is successfully improved, providing strong support for the technical training and competitive performance of table tennis players. This research result has important practical significance for technological improvement in sports and the application of artificial intelligence in sports training.
DOI: 10.17632/ch87yswbz4
title: Alzheimer's disease dataset

description: The below attached files are those pertinent to image classification of brain MRI scans for Alzheimer's disease prediction. The dataset which contains of four directories and are classified in accordance with that. The classification is performed using Convolutional neural networks and a commendable accuracy rate is acheieved. The architecture and the working framework is charted out in the companion framework.
DOI: 10.17632/4t5r5jhth7
title: Fenómeno techo de cristal en enfermería: revisión integrativa

description: Artículos analizados para la realización de una revisión integrativa.
DOI: 10.17632/prs6zjts7b
title: SARS-CoV-2 variants evolve convergent strategies to remodel the host response

description: Publication
"SARS-CoV-2 variants evolve convergent strategies to remodel the host response" by Bouhaddou et al.

Abstract
SARS-CoV-2 variants of concern (VOCs) emerged during the COVID-19 pandemic. Here, we used unbiased systems approaches to study the host selective forces driving VOC evolution. We discovered VOCs evolved convergent strategies to remodel the host by modulating viral RNA and protein levels, altering viral and host protein phosphorylation, and rewiring virus-host protein-protein interactions. Integrative computational analyses revealed that although Alpha, Beta, Gamma, and Delta ultimately converged to suppress interferon-stimulated genes (ISGs), Omicron BA.1 did not. ISG suppression correlated with expression of viral innate immune antagonist proteins, including Orf6, N and Orf9b, which we mapped to specific mutations. Later Omicron subvariants BA.4 and BA.5 more potently suppressed innate immunity than early subvariant BA.1, which correlated with Orf6 levels, though muted in BA.4 by a mutation that disrupts the Orf6-nuclear pore interaction. Our findings suggest SARS-CoV-2 convergent evolution overcame human adaptive and innate immune barriers, laying the groundwork to tackle future pandemics.

Tables
RNA (tables 1), peptide (table 3, 6, 7), and protein (tables 4) counts and quantitative statistical comparisons (e.g. log2 fold changes and p-values; tables 2, 5, 8) between conditions, across both host and viral genes, during infection.
Table 1. Quantification of host RNA transcript counts in transcripts per million during infection, related to Figure 2.
Table 2. Differential host RNA expression analysis comparing conditions during infection, related to Figures 1 and 4.
Table 3. Quantification of host and viral proteins using abundance proteomics at the feature level, related to Figures 2 and 5.
Table 4. Quantification of host and viral proteins using abundance proteomics at the protein level, related to Figures 2 and 5.
Table 5. Differential host protein expression analysis comparing conditions during infection, related to Figures 1 and 4.
Table 6. Quantification of host and viral phosphorylated peptides using phosphoproteomics at the feature level, related to Figure 2.
Table 7. Quantification of host and viral phosphorylation sites using phosphoproteomics summarized at the site level, related to Figure 2.
Table 8. Differential host phosphorylation site intensity analysis comparing conditions during infection, related to Figures 1 and 4.

Supplemental Tables
Table S1. Consensus mutations in the VOCs from CoVariants.org, related to Figure 1.
Table S2. Viral RNA, protein, and phosphorylation site abundances during infection, including analysis comparing viral phosphorylated peptide intensities across VOCs, related to Figures 2 and 5.
Table S3. Affinity purification mass spectrometry (APMS) metadata and results, related to Figure 3.
Table S4. Integrative computational analysis metadata and results, related to Figure 4.
DOI: 10.6084/m9.figshare.20751784.v1
title: interview data

description: the data is taken from the interviews of women to understand the overall role of women empowerment
DOI: 10.6084/m9.figshare.29114015.v1
title: IGF2 raw data

description: IGF2 concentration collected from blood plasma.
DOI: 10.6084/m9.figshare.6429065.v1
title: Dataset for: ADAPTATION OF SPATIO-TEMPORAL CONVERGENT PROPERTIES IN CENTRAL VESTIBULAR NEURONS IN MONKEYS

description: The spatio-temporal convergent (STC) response occurs in central vestibular cells when dynamic and static inputs are activated. The functional significance of STC behavior is not fully understood. Whether STC is a property of some specific central vestibular neurons, or whether it is a response that can be induced in any neuron at some frequencies is unknown. It is also unknown how the change in orientation of otolith polarization vector (orientation adaptation) effects on STC behavior. A new complex model, that includes inputs with regular and irregular discharges from both canal and otolith afferents, was applied to experimental data to determine how many convergent inputs are sufficient to explain the STC behavior as a function of frequency and orientation adaptation. The canal-otolith and otolith-only neurons were recorded in the vestibular nuclei of three monkeys. About 42% (11/26 canal-otolith and 3/7 otolith-only) neurons showed typical STC responses at least at one frequency before orientation adaptation. After orientation adaptation in side-down head position for 2 hours some canal-otolith and otolith-only neurons altered their STC responses. Thus, STC is a property of weights of the regular and irregular vestibular afferent inputs to central vestibular neurons which appear and/or disappear based on stimulus frequency and orientation adaptation. This indicates that STC properties are more common for central vestibular neurons than previously assumed. While gravity-dependent adaptation is also critically dependent on stimulus frequency and orientation adaptation, we propose that STC behavior is also linked to the neural network responsible for localized contextual learning during gravity-dependent adaptation.
DOI: 10.6084/m9.figshare.28397269.v1
title: Sharif et al. 2024 Supplementary Table 1 from The Multifunctional Roles of Sec13 Paralogues in the Euglenozoan Trypanosoma brucei

description: List of protein hits from TurboID
DOI: 10.17632/bcz47mhvc3
title: T1D_microbiome

description: microbiome abundances of patients with t1d diabetes
DOI: 10.17632/wp69xrf2c5
title: Network-risk framework for ArcGIS (version 2) and Bucharest road network data and results

description: INFP, CRMD and UCL have developed a framework capable of analyzing the implications of natural hazards on transportation networks, also in a time-dependent manner. This is currently embedded into an ArcGIS toolbox entitled Network-risk, which has been successfully tested for Bucharest, contributing to an insightful evaluation of emergency intervention times for ambulances and firefighters, in the case of an earthquake. The files and the user manual allow a replication of our recent analysis in Toma-Danila et al. (2022) and a download of results (such as affected roads and unaccesible areas in Bucharest), in various formats. Some of the results are also presented in an ArcGIS Online app, called "Riscul seismic al Bucurestiului" (The seismic risk of Bucharest), available at https://tinyurl.com/yt32aeyx. In the files you can find:
- the Bucharest road network used in the article;
- facilities for Bucharest and Ilfov, such as hospitals, firestations, buildings with seismic risk or tramway lines accesible by emergency vehicles
- results of the analysis: unaccesible roads and areas, service areas around facilities, closest facilities for representative points
- Excel calculator for Z elevation from OpenStreetMap data
- the user manual and a ArcGIS toolbox.

Main citation:
- Toma-Danila D., Tiganescu A., D'Ayala D., Armas I., Sun L. (2022) Time-Dependent Framework for Analyzing Emergency Intervention Travel Times and Risk Implications due to Earthquakes. Bucharest Case Study. Frontiers in Earth Science, https://doi.org/10.3389/feart.2022.834052

Previous references:
- Toma-Danila D., Armas I., Tiganescu A. (2020) Network-risk: an open GIS toolbox for estimating the implications of transportation network damage due to natural hazards, tested for Bucharest, Romania. Natural Hazards and Earth System Sciences, 20(5): 1421-1439, https://doi.org/10.5194/nhess-20-1421-2020
- Toma-Danila D. (2018) A GIS framework for evaluating the implications of urban road network failure due to earthquakes: Bucharest (Romania) case study. Natural Hazards, 93, 97-111, https://link.springer.com/article/10.1007/s11069-017-3069-y
DOI: 10.17608/k6.auckland.2000970.v6
title: ISSP2010: Environment III

description: The last of 20 years of International Social Survey Programme (ISSP) surveys in New Zealand by Professor Philip Gendall, Department of Marketing, Massey University.A verbose rundown on topics covered follows.Attitudes towards environmental protection. Preferred government measures for environmental protection. Private entrepreneurs as best possibility to solve economic problems; responsibility of the government to reduce income differences among the citizens; highest and next highest priority in the own country; attitude to modern science (scale); attitude to the environment (scale).Judgement on the contrast of environmental protection and economic growth; economic growth harms the environment; earth cannot continue to support population growth at its present rate; willingness to pay higher prices and higher taxes or to accept reductions in standard of living for the benefit of protection of the environment; self-classification of participation in environmental protection (scale); estimation of dangerousness of air pollution caused by cars for the environment, for the respondent and their family.Classification of air pollution from industrial waste gases, pesticides and chemicals in agriculture, water pollution and a rise in the world´s temperature caused by the greenhouse effect, the modification of genes of certain crops as dangerous for the environment; preference for the regulation of environmental protection by the government, the population or the economy; estimation of the efforts of NZ to protect the world environment; more effort for the environment by business and industry, people in general or the government; attitude towards international agreements for environmental problems that each country should be made to follow; agreement with poorer countries to make less effort than richer countries to protect the environment; economic progress will slow down without better protection of the environment.Trust in government departments; frequency of own efforts to sort glass or tins or plastic or newspapers for recycling; frequency of not using the car for environmental reasons; membership in an environmental protection organization; personal environmental political activities in the last five years through participation in signing petitions, giving donations to environmental groups as well as participating in demonstrations; dangerousness of nuclear power stations for the environment; people can do little to change lives.Demography: age; sex; marital status; steady life-partner; years in school; current employment status; occupation (ISCO-88); employment in public sector; self-employed; number of employees; hours worked weekly; supervisor function; earnings of the respondent; family income; religious denomination; attendance of religious services; union membership; party affiliation (left-right); size of household; type of community: urban-rural; ethnic affiliation of respondent and language.
DOI: 10.17632/4n66brtp4j
title: COVID Chest X-Rays

description: Dataset is collected by the authors from 3 different hospitals from Uttar Pradesh and Rajasthan, India. 188 images (28 COVID-19, 83 abnormal, 77 healthy images were collected from King George's Medical University (K.G.M.U.), Lucknow, Uttar Pradesh, India. 68 images of COVID-19 patients were collected from Uttar Pradesh University of Medical Sciences (U.P.U.M.S.), Saifai, Etawah, Uttar Pradesh, India. 543 X-ray images (326 COVID-19, 217 abnormal) from Government Medical College, Kota, Rajasthan, India.
DOI: 10.17632/mhtn8xjkvf
title: Establishment of a Personal Data Protection System and Corporate Innovation

description: The Personal Information Protection Law was officially implemented in China in November 2021. Although relevant laws and regulations for guidance exist, establishing this system in enterprises was voluntary. Therefore, we select listed A-share companies in the Shanghai and Shenzhen Stock Exchange from 2008 to 2020 to constitute the initial sample and carry out the following processes: (1) exclude the financial and insurance industry, (2) exclude samples of abnormal companies (e.g., special treatment), and (3) exclude samples of companies with asset-liability ratios greater than 1. All continuous variables were winsorized at the 1% level to avoid the influence of outliers. Finally, 9,285 annual company observations were obtained.
DOI: 10.17632/tgmppk9kkt
title: esg_dataset

description: The dataset is a sample of 72 publicly traded US industrial companies with an ESG rating for the years 2012–2021. Data was downloaded from Bloomberg and Refinitiv Eikon databases. The dataset includes financial and non-financial indicators of companies.
DOI: 10.17632/wwy39n8p7z
title: Dataset of Multiple Water Quality Parameters Measured in a Drinking Water Distribution System

description: Data was gathered through the deployment of two distinct monitoring systems across four varying locations and connection types. The observation periods spanned from several weeks to several months. Specifically, the YSI EXO 3 monitoring system was placed at three different locations and affixed to fire hydrants, and the ATI MetriNet Q52 system was affixed to a service line within an academic building. These sensors captured multiple water quality parameters, including temperature, conductivity, specific conductivity, turbidity, fDOM, pH, ORP, and combined chlorine, at 5-minute intervals throughout the observation period. The data is split in to five separate datasets. Each dataset is stored in the .csv file format and named dataset_#, where # is the number of the dataset. Each dataset is formatted with labeled columns and values in the appropriate units. Additional supplementary datasets are provided that include the maintenance logs for the YSI and ATI sensors. A Python code is also included to read the data and create time series plots for each parameter.
DOI: 10.17632/xknnb7cm4n
title: Symbolic vector analysis in plasma physics

description: Abstract Many problems in plasma physics involve substantial amounts of analytical vector calculation. The complexity usually originates from both the vector operations themselves and the underlying coordinate systems. A computer algebra package for symbolic vector analysis in general coordinate systems, GeneralVectorAnalysis (GVA), is developed using Mathematica. The modern viewpoint for 3D vector calculus, differential forms on 3-manifolds, is adopted to unify and systematize the vector calculus ope... Title of program: GeneralVectorAnalysis Catalogue Id: ADJP_v1_0 Nature of problem The analytical calculations using vector calculus that appear in plasma physics, fluid dynamics, and other fields sometimes can become extremely complex. The complexity usually originates from both the vector operations themselves and the underlying coordinate systems. Versions of this program held in the CPC repository in Mendeley Data ADJP_v1_0; GeneralVectorAnalysis; 10.1016/S0010-4655(98)00144-1 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.25376/hra.7594124.v1
title: Brach_CE-1304-6301_FRR_CE.pdf

description: <b>Objectives: </b>To compare the effectiveness and sustainability of <i>On the Move</i> against a Standard group exercise program consisting of seated strength, endurance, and flexibility exercises in community-dwelling older adults who reside in independent living facilities and senior apartment buildings, and who live elsewhere but regularly attend senior community centers. <b>Methods:</b> The study was a cluster randomized, single-blind intervention trial that compared the effects on function, disability, and mobility of a Standard group exercise program and the <i>On the Move</i> group exercise program in community-dwelling older adults. Thirty-two facilities were randomized, encompassing 424 individuals. <b>Results:</b> The mean ± standard deviation age of the participants was 80.7 ± 7.8 years. The <i>On the Move</i> group had greater improvements than the Standard group in the primary measures of mobility, the 6MWT (20.6 ± 57.1 versus 4.1 ± 55.6 m; adjusted difference = 16.7 ± 7.4; <i>p</i> = 0.0262), and gait speed (0.05 ± 0.13 versus –0.01 ± 0.11 m/s; adjusted difference = 0.05 ± 0.02; <i>p</i> = 0.0008). The between-group differences were adjusted for the baseline value of the outcome and represent a small but meaningful difference. There were no significant differences in self-reported function and disability as measured by the LLFDI scores. <b>Conclusions:</b> When taught by exercise leaders, the <i>On the Move</i> group exercise program was more effective at improving mobility than the Standard group exercise program, more safe, and well-liked by community-dwelling older adults.
DOI: 10.6084/m9.figshare.12093624.v1
title: FilesS2-4

description: This dataset contain FileS2-5
DOI: 10.6084/m9.figshare.21770450.v1
title: Peeters et al. (2022) - A comprehensive normative reference database of muscle morphology in typically developing children aged 3-18 years – a cross sectional ultrasound study

description: This cross-sectional dataset contains lower limb muscle morphology data of 118 typically developing children. This data was collected as part of the investigation by Peeters et al. (2022) - A comprehensive normative reference database of muscle morphology in typically developing children aged 3-18 years – a cross sectional ultrasound study
DOI: 10.6084/m9.figshare.22495390.v1
title: DATA SET - PT.csv

description: 658 responses were collected from sectoral investors
DOI: 10.6084/m9.figshare.28233803.v3
title: Monthly runoff and sediment flux data in the source region of the Yellow River. xlsx

description: Monthly runoff and sediment records from 1970 to 2020 at the Tangnaihai hydrological station (the outflow of the source region of the Yellow River).
DOI: 10.17632/fwcj7stb8r
title: Rice Leaf Disease Image Samples

description: The data set contains 5932 number images includes four kinds of Rice leaf diseases i.e. Bacterial blight, Blast, Brown Spot and Tungro.
Citation: Sethy, P. K., Barpanda, N. K., Rath, A. K., & Behera, S. K. (2020). Deep feature based rice leaf disease identification using support vector machine. Computers and Electronics in Agriculture, 175, 105527. doi:10.1016/j.compag.2020.105527.