cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28395560.v3
title: Supplementary Data 2

description: Processed proteomic data on each experiment in a range of formats: a readme file, proteins identified per experiment, Normalized Spectral Abundance Factors (NSAF) on all valid proteins identified, an accession number-based annotation file, QSPEC results for timepoints 1 and 2, ABACUS output file before processing.
DOI: 10.17632/27y7t5nr84
title: LINF_180018100

description: Mitochondrial carrier protein | MCP12; Leishmania infantum (strain JPCM5)
DOI: 10.6084/m9.figshare.20120447.v4
title: Protein_Pathway_data.tar

description: The protein dataset and the pathway dataset used in BioTranslator
DOI: 10.17632/kbr5g3xmvk
title: Nottingham Bus Route Optimisation Instances

description: The present datasets contain instance data and results which were presented in the publications "An Adaptive Scaled Network for Public Transport Route Optimisation" by Philipp Heyken Soares, Christine L. Mumford, Kwabena Amponsah and Yong Mao, 2019 in "Public Transport" (Springer), and "Optimising Bus Routes with Fixed Terminal Nodes: Comparing Hyper-heuristics with NSGAII on Realistic Transportation" by Leena Ahmed, Philipp Heyken Soares, Christine L. Mumford, and Yong Mao at the GECCO 2019 conference. The data sets can be found in the folder Instance_Data_ASN ("Adaptive Scaled Network...") and Instance_Data_OBR ("Optimising Bus Routes..."). Both contain the instance data sets of the respective publications in the subfolder. These include: - X_Nodes.csv/.txt: Contains information on the network nodes (node IDs, longitude and latitude coordinates, and if the respective node is a potential terminal (1-yes, 0-no) ) - X_TravelTimes.csv/.txt: Contains a symmetrical matrix with the travel times between directly connected nodes in minutes (see ASN section 2.4). Travel time between not directly connected nodes is given as infinite. - X_Demand.csv/.txt: Contains the travel demand as a symmetrical matrix with the number of trips from each node to each other node (see ASN section 2.6). - X_RealRoutes.txt: Contains the real-world bus routes (see ASN section 4) of the study area as lists of node IDs as given in the coordinates file. (Only in reduced instances) - The "Results"-folder contains subfolder the results of the experiments shown in the respective papers. In addition to the instance data, we also provide a python program to evaluate route sets with the here provided instance data in the given format (see folder Evaluation_Program). Finally, we also include a collection of maps showing the nodes and links of the instance networks as HTML-files (see folder Maps). More detailed information can be found in the README files. The zip file you find in the data collection contains the entire data set to simplify the download.
DOI: 10.17632/mby2hxrggr
title: Econometric analysis of economic growth and income inequality through the lens of Kuznets theory: insights across diverse economic groups (2004-2019)

description: Research Hypothesis

The research investigates the relationship between economic growth and income inequality, drawing on Kuznets' theory of an inverted U-shaped relationship. The central hypotheses are:

 H0: Income inequality is not affected by GDP growth, indicating no relationship between economic growth and income inequality.
 H1: GDP growth influences income inequality, which may increase or decrease depending on societal and economic contexts.
 H2: GDP growth positively affects income inequality, widening income disparities.
 H3: GDP growth negatively affects income inequality, reducing disparities and promoting equitable distribution.
 H4: In lower-middle-income countries, GDP growth reduces income inequality.

Description of Data

The study utilizes data from the World Bank for 39 countries spanning the years 2004 to 2019. The dataset includes:

 Gross Domestic Product (GDP): Measured in constant local currency units (LOGGDP), used as a proxy for economic growth.
 Gini Index: A standardized measure of income inequality, ranging from 0 (perfect equality) to 100 (maximum inequality).
 Income Categories: Countries are grouped into high, upper-middle, and lower-middle income categories based on the World Bank’s GNI per capita classification.

Methodology and Data Gathering

 Selection Criteria: Countries were selected to represent diverse income groups, ensuring a balanced and comprehensive analysis of varying economic contexts.
 Data Source: All data were sourced from the World Bank’s publicly available databases.
 Data Analysis:
 Correlation analysis to explore the general relationship between GDP and inequality.
 Linear regression models to identify causal relationships across income categories.
 Group-specific analysis to investigate how GDP impacts inequality within high-, upper-middle-, and lower-middle-income countries.

Notable Findings

 Overall Trends:
 Across all countries, a positive correlation was observed between GDP and the Gini index, indicating that GDP growth is generally associated with increasing income inequality.
 The regression model (GINI = 23.931 + 0.937 × LOGGDP) confirmed a statistically significant relationship, with an F-value (p &lt; 0.05) supporting the model’s validity.

 Income Group Analysis:
 High-Income Countries: No statistically significant relationship between GDP growth and inequality.
 Upper-Middle-Income Countries: A weak relationship was observed, but it lacked statistical significance.
 Lower-Middle-Income Countries: A significant negative relationship was identified (β = -22.291, p &lt; 0.001), suggesting that in these countries, GDP growth reduces income inequality.

Interpretation and Use of Data: The findings can be interpreted in light of Kuznets' hypothesis, which posits that inequality first rises and then falls as economies develop.
DOI: 10.17632/p9yfkr6vjf
title: PM2.5 surcafe air concentrations (1998-2021) and human emissions (1993-2020) in Argentina by Census Block

description: This data set includes data on PM2.5 surface air concentration and PM2.5 emissions from human sources by census block in Argentina. Census block are the minimal administrative unit. Census blocks can be combined in departments and provinces, and thus this data set can be used along with other sociodemographical and health datasets
DOI: 10.6084/m9.figshare.12901211.v1
title: Relationships between pollinator quantity and position with fruit setting of Camellia oleifera .xlsx

description: this datas aimed to identify (1) which color pan trap is most suitable for attracting pollinators in <i>C. oleifera </i>fields; (2) the differences in fruit setting at different canopy positions; (3) how pollinator abundance differs across canopy levels; and (4) whether other landscape-scale factors such as crown size or total plant height also influence fruit setting (as they do budding and other life stages).
DOI: 10.6084/m9.figshare.16920220.v1
title: Data from: Fire management alters the thermal landscape and provides multi-scale thermal options for a terrestrial turtle facing a changing climate

description: Data spreadsheets used in our paper including: (1) carapace ibuttons (ibuttons placed on turtle's carapaces during heat days) (2) vegetation ibuttons (ibuttons placed in different vegetation types) (3) telemetry relocations (information on turtles that we tracked using telemetry) (4) heat day turtle relocations (information on turtles that had ibuttons on their carapaces and that we tracked on heat days) (5) heat day and non-heat day (data on whether turtles were active/buried on heat and non-heat days)
DOI: 10.17632/7vb77bz2st
title: Lentil Plant Disease Image Dataset (4 Class)

description: The Lentil Plant Disease Image Dataset is a meticulously collected, organized, augmented, and preprocessed collection of high-resolution images designed to support research in plant pathology and machine learning. This dataset includes images of lentil plants affected by three common diseases—Ascochyta Blight, Lentil Rust, and Powdery Mildew—as well as healthy plants. 

Captured using a Samsung M31 smartphone, the images encompass various growth stages and lighting conditions, ensuring a comprehensive representation of symptoms. Data augmentation techniques, including rotation, width/height shift, shear, zoom, horizontal flipping, and brightness adjustment, have been applied to enhance the dataset's variability and robustness.

The dataset is divided into training, testing, and validation sets with an 80-10-10 split, and it is meticulously labeled and organized. This makes it an invaluable resource for researchers and practitioners in the fields of computer science, artificial intelligence, computer vision, machine learning, deep learning, and agriculture.
DOI: 10.17632/g98xdnp4x3
title: Intelligent Detection and Classification System for Rail Surface Defects Based on Eddy Current

description: This work presents a system to detect squats on rails based on a device that monitors the train wheel's oscillation frequency. In it, the sensor should be installed directly on the service trains. It uses wavelet power Spectrum in Frequencies between 1060-1160 Hz and a simple threshold for Squat identification. This work is limited to squats detection for preventive maintenance.
DOI: 10.17632/hbbxkxgpb8
title: Matlab Codes--Optimal Environmental Policy and Distortionary Fiscal Policy Interactions: A DSGE Perspective

description: This set of codes replicates the quantitative results presented in the article, which examines the interplay between optimal environmental policy and distortionary fiscal policy within a dynamic stochastic general equilibrium (DSGE) framework. The codes implement the model’s calibration, solve for the Ramsey-optimal policies, and simulate the economy’s response to various environmental and fiscal shocks. The simulations illustrate how optimal carbon taxation and abatement efforts adjust in response to pollution, government spending, and productivity shocks. Researchers can use these codes to reproduce the findings, explore sensitivity analyses, or extend the framework to related policy questions.
DOI: 10.6084/m9.figshare.1237751.v1
title: FICHA DE SEGURIDAD MERCURIO

description: FICHA DE SEGURIDAD DEL MERCURIO
DOI: 10.6084/m9.figshare.28023056.v1
title: DetectAIGC_TSE2024

description: <pre>This is the replication package of <i>An Investigation into Using Perplexity to Detect LLM-Generated Code</i> (submission for TSE).</pre>
DOI: 10.6084/m9.figshare.29037206.v1
title: GTG

description: 使用对比学习框架对建筑物进行形状识别的 GraphTransformer 编码网络
DOI: 10.6084/m9.figshare.5986708.v8
title: Data set of Android permissions

description: This dataset contains 18,850 normal android application packages and 10,000 malware android packages which are used to identify the behaviour of malware application on permission they need at run-time.
DOI: 10.6084/m9.figshare.6394385.v4
title: Data for: Bohenek, J. R., and W. J. Resetarits Jr. 2018. Are direct density cues, not resource competition, driving life history trajectories in a polyphenic salamander? Evolutionary Ecology 32:335–357.

description: Data for "Are direct density cues, not resource competition, driving life history trajectories in a polyphenic salamander?"<br>Bohenek, J.R. & Resetarits, W.J. Evol Ecol (2018). https://doi.org/10.1007/s10682-018-9941-8<br>See metadata for comprehensive info.<br>Short description:<br>We investigated proximate cues affecting facultative paedomorphosis in order to understand how larval newts (Notophthalmus viridescens louisianensis) assess conspecific density. To isolate the effects of density cues from the effects of resources and agonistic behavior, we caged larval newts in mesocosms in a 2 × 2 factorial design that manipulated both background larval newt densities (high or low) and food levels (ambient or supplemented).<br>
DOI: 10.6084/m9.figshare.6965801.v1
title: Prosit - Model - iRT

description: model and configuration to serve model with Prosit
DOI: 10.17632/7mnfvswxdr
title: Data for: Stability analysis of hydropower units under full operating conditions considering turbine nonlinearity

description: This data contains the transfer coefficients used to establish a segmented linear model of the turbine.
DOI: 10.17632/dzccnpkdj9
title: Public diplomacy on Twitter in 2021 and 2022: The case of Greece

description: The dataset contains the Twitter posts, posting times and types, retweet counts and favourite (like) counts of the 40 most active Greek state officials during the sample years of 2021 and 2022. The retrieved data includes only content published in English, as the related research focuses on digital public diplomacy directed at foreign audiences. The dataset includes the English language activities of all 40 officials between 1 January 2021 and 31 December 2022. The dataset is anonymous as it does not include the names of the selected Twitter accounts, only their respective roles in the government and/or state administration. 

New features compared to v1: 
– Year-long posting activities for 2021 and 2022.
– Comments are missing due to changes in the data source's policy on academic access.
– Missing data for tweet types have been collected, thus the “no data" section in the tweet type column has been deleted.
– Funder and grant number added.

Data collection was conducted between 01/01/2022 and 30/06/2022 (v1), and 12/05/2023 and 25/08/2023 (v2).
DOI: 10.17632/j329rc9336
title: Conservation Tillage Effects on European Crop Yields: A Metadata Analysis

description: We were hypothesizing that ridge-till and strip-till can improve crop yields under European agroecosystems in contrast with the often observed reduction in yields under No Tillage and Reduced Tillage.To answer the hypothesized question, and based on our data, it can be stated that yields are indeed not optimal under no till as opposed to RT and ST where yields are higher than those of conventional tillage. 
The raw data shows every parameter and data extracted from peer reviewed articles while the analyzed shows the data obtained from running the meta-analysis by fitting random and mixed effect models.

Raw data
Here, the data consists of all parameters and variables extracted from the peer-reviewed articles that met the inclusion criteria. Also, there is a metadata sheet with all abbreviations and their meaning. 


Analyze data
Here, the estimate, lower (ci.lb) and upper (ci.ub) confidence intervals are in log transform format. Thus, taking the exponent gives the response ratio. Se =standard error, zval= z correlation, pval =p value, RT (ridge-till) and RH (number) = ridge height. C =Cotton, Cr = Carrot, RD = Dandellion, T=Tulips, GM= grain maize, WC= winter cereal, SB =sugar beet, SC=spring cereal, P =potato. Also, there is a metadata sheet with all abbreviations and their meaning. 

Graph
Fig. 1. Forest plot showing data plot of estimated average response ratios (RR) for No (NT), Ridge (RT) and Strip (ST) tillage based on random effects model. n is sample size/number of studies for the specific tillage type. The error bars represent the 95% confidence intervals CI. The square shapes represent the estimated RR and their size correspond to their weight (based on its sample size). The vertical broken line represents the line of no effect
DOI: 10.6084/m9.figshare.12973124.v4
title: Supplementary material for "Meta-analysis reveals that animal sexual signalling behaviour is honest and resource-based"

description: All data, R code for analysis, plus references for all studies used in the analysis<br>
DOI: 10.6084/m9.figshare.27209898.v1
title: Raw data of output files of 5. SAMPdetect for "Rapid detection and quantification of Nile Red-stained microplastic particles in sediment samples".

description: Raw of output files of 5. SAMPdetect for "Rapid detection and quantification of Nile Red-stained microplastic particles in sediment samples".
DOI: 10.17632/jn5ctf6fnm
title: Dataset on personal characteristics as correlates of teachers’ awareness on learning disabilities

description: This data was gather for a study that sought to investigate personal characteristics as correlates of teachers’ awareness on learning disabilities in primary schools in Calabar Municipality of Cross River State, Nigeria. The study was guided by five research questions and five hypotheses; the data was generated using researchers-developed questionnaire titled “Awareness on Learning Disabilities Questionnaire” (ALDQ). Section A of the instrument gathered demographic information about the respondents, while Section B was a 10 item section which sought to establish the level of awareness of primary school teachers on the concept of learning disability. The section B had Very True, True, Untrue and Very Untrue as the response options, with scoring 4, 3, 2 and 1 respectively.

The datasheet is presented using the coding of the items on the questionnaire. Males and females were coded 1 and 2, teaching experiences were coded 1,2,3 and 4, for 1-5years, 6-10years, 11-15years, and above 15years respectively. Educational qualifications of the students were coded 1 for NCE, 2 for BEd, 3 for B.Sc/B.A/HND, 4 for MEd and 5 for PhD. On professional status of the respondents, 1 was used for those that had a certificate/degree in education, while 2 was used as the code for those that do not. Items 1 to 10 on the datasheet represent the 10 items on section B of the questionnaire.

The findings of the study showed that, generally, the level of teachers’ awareness on learning disability was significantly low. The findings also indicated that while professional status had no influence on the level of teachers’ awareness on learning disability, other personal characteristics of teachers including gender, educational qualification and teaching experience had significant influence on teachers’ level of awareness on learning disability.
DOI: 10.6084/m9.figshare.22350808.v1
title: Delamere track

description: Possible Chiriotherid manus impression from Delamere forest.
DOI: 10.17632/fhvtsdx659
title: JDS26031-Beiranvand et al.

description: Supplementary file of the paper in JDS: A randomized controlled trial evaluating postpartum delayed milking strategy and oral Ca bolus administration on production and blood metabolites of Holstein cows.
Implications: Subclinical calcium (Ca) deficiency is often considered a gateway to other calving-related 5 diseases that impose substantial economic losses on the dairy business. In this study, dairy cows supplemented or not with 2 oral Ca boluses after calving were either milked 3x per day or assigned to delayed milking for 24 and 48 h after colostrum harvest. Ca bolus administration had no effect on production performance and blood metabolites. Overall, milking withdrawal decreased daily 9 milk production during the 3 to 12 days in milk, but it did not affect the 3 monthly test day records. In addition, multiparous cows in the M48 treatment had increased blood concentrations of Ca, P and glucose and decreased those of β-hydroxybutyrate, highlighting delayed milking as a promising strategy to attenuate subclinical hypocalcemia.
in the files submitted to this repository, Table 1 shows the ingredient and composition of the diets used pre-and postpartum, and a diagram is depicted to indicate the factorial design of the experiment (Fig 1). The effects of treatments on cumulative milk production through 3 to 12 days in milk, milk composition, and milk yield on 3 consecutive monthly records of the experimental cows are shown in Fig. 2, 3, and 4, respectively.
DOI: 10.6084/m9.figshare.1132678.v1
title: Live web test data

description: This file contains information about the HTTP response code from the availibility test of all URIs from all corpora in the live web.
DOI: 10.6084/m9.figshare.28678256.v1
title: Interleukin-6 from the Adipose Secretome Potentiate Differentiation of Adipose Progenitors Through Activation of Redox Signaling

description: <b>Supplementary Figure 1. Adipogenic Stimulus Increases the Number of Short Mitochondria.</b> (A) Box plot of mitochondrial length analyzed by category, short, intermediate, or elongated for APCs treated adipogenic stimulus or vehicle normalized to cell number per slide in mitotracker-stained APCs (B) Representative images of mitotracker stained APCs.<b>Supplementary Figure 2. Conditioned Media Treatment Increases Adipogenesis.</b> (A) Eluted Oil Red O absorbance for cells treated with CD CM or HFD CM from male subcutaneous adipose tissue explants or vehicle on day 7 of differentiation (n=4). * p ≤ 0.05.<b>Supplementary Figure 3. IL-6 and TNF Identified as Upstream Regulators </b>(A) Network of IL-6 as an upstream regulator of differentially expressed proteins found in our dataset in IPA. (B) Network of TNFa as an upstream regulator of differentially expressed proteins found in our dataset in IPA.<b>Supplementary Figure 4. IL-6 Treatment Increases Adipogenesis.</b> (A) Eluted Oil Red O absorbance from APCs treated with IL-6 [0.1, 1, 5 ng/mL] (n=4). * p ≤ 0.05, ** p ≤ 0.01; *** p ≤ 0.001, **** p ≤ 0.0001.<br>
DOI: 10.6084/m9.figshare.28972226.v1
title: Cryopeg Brine Metagenome-Assembled Genomes

description: Four metagenome-assembled genomes (MAGs) from 40-kyr relic marine brines (cryopeg brines) trapped within the permafrost. Each of these genomes contained a full Calvin-Benson-Bassham pathway and was therefore considered autotrophic. The FASTA files for the MAGs are available, along with the gene annotations in gff format for the two <i>Thiomicrorhabdus</i> MAGs. Details on the methods are contained in the README.
DOI: 10.11583/dtu.6825443.v1
title: Numerical models for the design and analysis of heat pumps with zeotropic mixtures

description: The work presents numerical models for the design and analysis of heat pump cycles with pure and mixed working fluids. The models are suitable for working fluid screenings for pure and mixed working fluids and offer possibilities for a detailed analysis of the heat pump cycle.
DOI: 10.6084/m9.figshare.20525172.v1
title: coal dataset

description: this data set contains the figures of coal used in the classification of coal and gnague.
DOI: 10.6084/m9.figshare.22707460.v1
title: Three polynoid scale worms genome annotation files

description: The genome and gene annotation files of Branchipolynoe longqiensis; gene annotation files of Harmothoe impar and Lepidonotus clava.
DOI: 10.6084/m9.figshare.25511917.v1
title: Tennis Data

description: Forecasting professional tennis players winning matches has a wide range of practical applications. We introduced a new approach to measure and combine strategic and psychological momentum using the entropy weight method and the analytic hierarchy process, and test its effectiveness. Using data from Wimbledon Championship 2023, we then constructed a support vector machine (SVM) model to predict the turning point and winner of each point, and we optimized it using particle swarm optimization (PSO). Our model achieved a significant level of accuracy (96.09\% turning point and 83.52\% predicting winner) and performs well in different courts and players. Furthermore, we compare its performance with commonly utilized predictive models, including ARIMA, LSTM and BP network, and find that our model exhibits higher accuracy than other existing models on predicting the point winner. Our research can be used to calculate odds in tennis matches and provide advice to coaches.