cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23644/uu.22043474.v1
title: Dataset for protein complexes project

description: This item includes 4 datasets: 1, training dataset 2, testing dataset 3, validation dataset 4, the best model used in the manuscript to predict protein-protein interaction
DOI: 10.6084/m9.figshare.26173024.v1
title: Hyperglycemia Exacerbates Periodontal Destruction via Systemic Suppression of Regulatory T Cell Number and Function

description: Briefly, the present study shows for the first time that hyperglycemia reduces Treg cells both numerically and functionally in a mouse model of experimental periodontitis. The study also shows that impaired immune tolerance may contribute to the exacerbation of periodontal tissue destruction.
DOI: 10.6084/m9.figshare.28586072.v1
title: Groundwater training and testing data

description: 100 wells of groundwater resources.
DOI: 10.6084/m9.figshare.3103072.v2
title: Preservice teachers’ perceptions of history

description: In progress project- presented at Midsouth Educational Research Association Conference in 2015Participants included 29 elementary/middle level education preservice teachers enrolled in a social studies methods course in their final semester prior to student internship. All participants were female. Of the participants in the course, 27 were eligible for social studies endorsements with their 21 hours of social studies course work.To assess their knowledge of primary sources, we asked the participants to define primary sources and to make a list of primary sources. One unexpected outcome of this was that our students did not see information posted on social media, particularly Twitter as a primary source. They viewed it as a secondary source. We thought this was interesting and important and dug deeper into their responses to see what impact this might have on their ability to teach history.
DOI: 10.6084/m9.figshare.5129395.v1
title: Supplementary Material for: In utero Programming of Allergic Susceptibility

description: <b><i>Background:</i></b> Around 30-40% of the world's population will experience allergy, the most common and earliest-onset noncommunicable disease. With a steady rise in the incidence of allergic disease over recent decades, up to 18% of children will suffer a respiratory, food or skin allergy before their 18th birthday. There is compelling evidence that the risk of developing allergy is influenced by early life events and particularly in utero exposures. <b><i>Methods:</i></b> A comprehensive literature review was undertaken which outlines prenatal risk factors and potential mechanisms underlying the development of allergy in childhood. <b><i>Results:</i></b> Exposures including maternal cigarette smoking, preterm birth and Caesarean delivery are implicated in predisposing infants to the later development of allergy. In contrast, restricted growth in utero, a healthy maternal diet and a larger family size are protective, but the mechanisms here are unclear and require further investigation. <b><i>Conclusion:</i></b> To ameliorate the allergy pandemic in young children, we must define prenatal mechanisms that alter the programming of the fetal immune system and also identify specific targets for antenatal interventions.
DOI: 10.17632/752kf8xfdf
title: WARO CROP SEEDLING RESEARCH 

description: The scarcity of rainfall and Drought affects our lives in many different ways Drought can reduce both water availability and water quality necessary for productive farms, ranches, and grazing lands, resulting in significant negative direct and indirect economic impacts to the agricultural sector.
Drought presents challenges for dairy farmers and can impact their livelihood. Drought can increase the price of feed, water and other farming costs, placing financial and emotional pressure Drought can also contribute to insect outbreaks, increases in wildfire and altered rates of carbon, nutrient, and water cycling—all of which can impact agricultural production, critical ecosystem functions that underpin agricultural systems, and the livelihoods and health of farming communities..
DOI: 10.6084/m9.figshare.25764507.v1
title: Floating photovoltaics power output for global lakes

description: This dataset describes the floating photovoltaics power output potential for about 1 million water bodies worldwide. Relevant lake information can be found in "Table S1 lake info.csv" and the monthly power output (averaged in the period from 1991 to 2020) can be found in "FPV power output monthly.csv". Related publication:Woolway, R. I., Zhao, G., Gondim Rocha, S. M., Thackeray, S. J., Armstrong, A., (2024). Decarbonisation potential of floating solar photovoltaics on lakes worldwide. <i>Nature W</i>ater.
DOI: 10.6084/m9.figshare.28432922.v1
title: Table & Figure.pdfBrainwaves and Higher-Order Thinking: An EEG Study of Cognitive Engagement in Mathematics Tasks

description: Research data refers to all materials and datasets generated, analyzed, or used in your study that are necessary to validate your findings. This may include:
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1. Raw and Processed Data
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EEG brainwave recordings (raw and preprocessed signals)
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Neurofeedback score datasets ( Neuron-Spectrum.NET )
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Statistical analysis data (e.g., SPSS, MATLAB, or Python files)
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Cognitive achievement test scores and student performance data
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2. Supplementary Materials
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Experimental protocols and study design details
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Questionnaires, surveys, or rubrics used in the study
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Educational materials related to HOTS-based mathematics tasks
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3. Code and Algorithms (if applicable)
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Scripts for EEG signal processing and analysis
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Machine learning or statistical modeling scripts
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Any software implementation used to analyze brainwave patterns
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4. Figures, Graphs, and Visualizations
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Plots of EEG data and neurofeedback trends
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Correlations between cognitive achievement and brainwave activity
DOI: 10.17632/kvxttz4783
title: Reheat Furnace Scheduling Input Data

description: This data set includes relevant data to schedule steel slabs through three non-identical reheating furnaces. The data was provided by a steel manufacturer - for confidentiality reasons the data set is manipulated with a constant, arbitrarily chosen numerical value.
The first three columns contain the minimum residence time of the slab in the respective furnace: U.
The fourth column gives the minimum time between two successive slabs: G.
The last column indicates whether the slab needs to be reheated with the walking beam furnace: WB
DOI: 10.17632/ts8cwxt9v9
title: Data for: Evaluating the cumulative and time-lag effects of drought on grassland vegetation: A case study in the Chinese Loess Plateau

description: Correlations and area proportions of significant correlations (P&lt;0.05) between SPEI and grassland NDVI at accumulated and time lag scale
DOI: 10.6084/m9.figshare.13204256.v1
title: Correlation between overall survival and the period without hospitalization or outpatient consultation in incurable cancer patients treated with palliative chemotherapy: an analysis of gastric and pancreatic cancer

description: We retrospectively evaluated 101 patients with incurable gastric or pancreatic cancer who were introduced to the Miyagi Cancer Center between May 1, 2014, and December 31, 2018, and died until December 31, 2019. We collected data on sex, age, the spread of disease, and the place of death. The length of hospitalization (LOH) and outpatient consultation time (OCT) were combined for the entire duration of the clinical course, and hospital-free survival (HFS) was obtained by subtracting the LOH and OCT from OS.
DOI: 10.6084/m9.figshare.20205875.v1
title: Summarized Data

description: Spot positions and pairwise distances generated from DNA FISH imaging
DOI: 10.6084/m9.figshare.24750279.v1
title: Simulation dataset for large-scale system

description: This is the dataset for paper manuscript "Deep Reinforcement Learning for Real-time Dynamic Aggregation and Scheduling of Electric Vehicles"
DOI: 10.6084/m9.figshare.28386851.v1
title: forbes2000-2024.xlsx

description: Dataset for the students to learn to download
DOI: 10.6084/m9.figshare.28696349.v3
title: High-throughput atomistic modeling of nanocrystalline structure and mechanics of calcium aluminate silicate hydrate

description: The Structure.zip includes files and information for the 1600 structures mentioned in the article. The Travis Result.zip contains the results of processing the trajectories using TRAVIS. The Equilibrium Structure.zip contains 160 structures that have been minimized and equilibrated through molecular dynamics, and mechanical tests were conducted based on these structures.
DOI: 10.17632/prbppc8rmr
title: Paranormal Beliefs and Cognitive Need: Differences in Causality Processing

description: Paranormal Beliefs and Cognitive Need raw
DOI: 10.6084/m9.figshare.19208724.v1
title: Fig1_LOSS_aggregated_submission.csv

description: This is data of LOSS aggregated at 0.25 degree used in the machine learning to generate LOSS maps. The raw inventory data are available upon reasonable request from the corresponding author.<br>
DOI: 10.6084/m9.figshare.25687194.v3
title: The code and data for TOPFIM

description: The Date for TOPFIM
DOI: 10.6084/m9.figshare.1305106.v2
title: Can large-scale patterns in insect atlas data predict local occupancy?

description: Coarse-grain atlas data are economical to collect, but fine-grain data contain more detail about the distribution of species within occupied cells. This information can change our perception of species’ distribution size, rarity and risk of extinction. Species occupancy describes the proportion of grid cells where a focal species is present, but occupancy depends on the spatial grain (grid cell area) of the units used to record species presences. Downscaling models have been developed to describe and extrapolate the relationship between spatial grain and occupancy (the occupancy-area curve, OAR), but have not previously been tested for highly mobile organisms. Here, we use atlas data for 38 British Odonata species. This taxon is highly mobile and also aggregated in the landscape due to a dependence on freshwater bodies for reproduction. Occupancy data at five coarse grains ≥ 100 km2 were used to parameterise 10 downscaling models. Predictive accuracy of the models were compared, using predicted and observed occupancy at the 1, 4 and 25 km2 grains. The Hui model gave the most accurate downscaling predictions across 114 species:grain combinations and gave the best predictions for 15 of the 38 species. Species-level traits were able to explain nearly 60% of the variation in in downscaling predictive error. Species with widespread, localised-aggregated and localised- sparse distributions were better predicted than species with a climatic range limit in Britain. The fine-grain occupancy of species with good dispersal abilities were poorly predicted by downscaling. Habitat generalists and specialists were better predicted than species with intermediate habitat breadth. Our results suggest that downscaling models, using widely available and economical coarse-grain atlas data, can provide sensitive, fine-grain estimates of distribution size, rarity, abundance and range change, even for high mobile taxa with a strong spatial structure. The code to obtain downscaling predictions for the Hui model is included as a pdf.
DOI: 10.6084/m9.figshare.5404675.v1
title: GM_primary_files.zip

description: GigaMUGA SNP data for the CC founder lines. The zip file contains the primary .RData files from ftp.jax.org/MUGA:<br>GM_code: strain name -&gt; genotype code (115 lines)GM_geno: genotypes (markers x strains) as single-letter codes N,C,T,A,G,H (143259 x 115)GM_sex: sex of individuals (M/F)GM_snps: snps x info (marker, chr, pos, cM, A1, A2, type, ..., tier); chr = 1-19,X,Y,M,PGM_x, GM_y: x and y intensities, markers x strains<br>
DOI: 10.6084/m9.figshare.21118759.v1
title: Non-coding heatmap plots

description: The folder contains the heatmap plots obtained from the gene burden analysis considering non-coding variants. The plots are provided in a static format (.jpeg) and in a more interactive one (.html). Additionally, tables generating the heatmaps are provided in a .txt file format.
DOI: 10.6084/m9.figshare.1195807.v1
title: Children and adolescents, 5-19 years old data heigth and weight

description: This internet site presents growth reference knowledge for kids and adolescents, 5-19 years (or 61-228 months). The United Nations agency Reference 2007 may be a reconstruction of the 1977 National Center for Health Statistics (NCHS)/WHO reference. It uses the first NCHS knowledge set supplemented with knowledge from the United Nations agency kid growth standards sample for under-fives. To develop this reference a similar applied math methodology was used as within the construction of the United Nations agency standards. This reference complements the WHO child growth standards for 0-60 months published in April 2006 (see link on right column).
DOI: 10.6084/m9.figshare.28852019.v1
title: Library identification and blue colony verification

description: We employed the Matchmaker Gold Yeast Two-Hybrid System to identify potential interacting partners of the SARS-CoV-2 N protein in human peripheral blood mononuclear cells (PBMCs). Through this approach, we identified several host proteins that may interact with the SARS-CoV-2 N protein.
DOI: 10.17632/hs2zt6ngwd
title: Post-tropical cyclone Ida (2021) flood map for New York City’s Jamaica Bay watershed

description: We present the first spatially continuous flood map of Hurricane Ida, which covers the Jamaica Bay watershed in New York City. This dataset represents a research effort to simulate the impact of Hurricane Ida in a coupled coastal framework, providing an estimated flood depth map. This interpolated flood map was developed using modeled peak water elevations combined with a high-resolution 30 cm DEM. 

Key Considerations:
The model’s 20 cm root-mean-squared error represents the uncertainty in flood depths and is based on a calibration process that utilized two storms and high watermarks at 18 locations. Furthermore, the dataset was created with simplified hydrodynamic modeling on an approximately 50-meter resolution grid that neglects the presence of buildings and does not explicitly represent the stormwater sewer system. A calibrated spatially- and temporally constant “drain rate” represents the stormwater system drainage and infiltration across the domain. These simplifications were made to streamline the model but may lead to localized biases, particularly in areas with complex drainage and diverse land use. During extreme events like Ida, where stormwater systems can be overwhelmed, these assumptions are likely to have less impact. 

For more detailed insights and methodology, please refer to the accompanying paper (see related links below).
DOI: 10.6084/m9.figshare.11888118.v2
title: A chromosome-scale genome assembly of the Mongolian oak (Quercus mongolica)

description: Mongolian oak (Quercus mongolica Fisch.) is an ecologically and economically important white oak species native to and widespread in the temperate zone of East Asia. Here, we present a chromosome-scale reference genome assembly of Q. mongolica, a representative white oak species, by combining Illumina and PacBio data with Hi-C mapping technologies that is the first reference genome created for an Asian oak. Our results showed that the PacBio draft genome size was 809.84 Mb, with a BUSCO complete gene percentage of 92.71%. Hi-C scaffolding anchored 774.59 Mb contigs (95.65% of draft assembly) onto 12 pseudochromosomes. The contig N50 and scaffold N50 were 2.64 Mb and 66.74 Mb, respectively. We further annotated 36,553 protein-coding genes and 435.34 Mb (53.75% of the genome) repetitive sequences. The non-coding RNAs were identified, including 129 miRNAs, 768 tRNAs, 4,896 rRNAs, and 371 snRNAs. This pioneering Asian oak genome resource represents an important supplement to the oak genomics community and will improve our understanding of Asian white oak biology and evolution.
DOI: 10.6084/m9.figshare.19426772.v1
title: MatDeepLearn DOS data

description: Surface and SrTiO3 DOS data
DOI: 10.6084/m9.figshare.24123108.v1
title: sample_SRR9113064_1_tis_SRR9113062_Aligned.filtered.sorted.bam

description: BAM file
DOI: 10.6084/m9.figshare.26718742.v2
title: AllTestCode.zip

description: All test code related to the study "Test Amplification for REST APIs Using Large Language Models."
DOI: 10.6084/m9.figshare.27132288.v1
title: <b>PPG Signals Subject Files (Format: .csv) (Only PPG signal data)</b>

description: Dataset AssociationThis dataset belongs to the project "PPG Signals and Cholesterol Data: Repository for the Validation of Total Blood Cholesterol Estimation Methods" where different PPG signals are presented together with cholesterol information of the subjects. This is done with the objective of validating tools or methods for estimating the total blood cholesterol level from the PPG signal.Dataset DescriptionThis dataset contains files in .csv (Comma-separated values) format, corresponding to the PPG signal of 46 subjects. Subject data such as age, sex, and cholesterol are not found in the files presented here. If these data are needed in the records, they can be located in the following dataset within this project "PPG Signals & Cholesterol Data Subject Files (Format: .csv)". Other data such as weight, height and whether the subject is on medication can be found in the excel document included in the project.Dataset format.csv (Comma-separated values)Other formats available in the project:.txt (Text file).json (JavaScript Object Notation).mat (MATLAB file)
DOI: 10.17632/9mgndk38dy
title: AGK PhD Data File

description: The dataset described in this paper emanated from a survey distributed to patients visiting or referred to a public hospital in Pretoria, South Africa between July to December 2021. The ultimate goal of the study was to develop a reasonably robust model meant to establish the risk factors of hypertension amongst adults in South Africa attributable to extreme systolic and diastolic blood pressure values.
Hypertension is becoming a global public health issue leading to global burden of morbidity and mortality worldwide and In sub-Saharan Africa, South Africa is one of the countries experiencing dramatic increase in the burden of hypertension. The high prevalence of hypertension in South African adults (17.1% to 25.9%) was found to be predicted by age, bmi, gender, highest education level, race, physical exercises, family history of hypertension, depression, diabetes, stress and marital status after fitting the Bayesian binary quantile regression models. Convergence was achieved using the Gelman-Rubin diagnostic as indicated by the estimated potential scale reduction factors of less than 1.1 for both systolic and diastolic blood pressure risk factors, suggesting the Bayesian binary's accuracy posterior estimated upper quantiles and the associated 95% credible intervals. Aggressive collaborative efforts between the general public, health authorities, non-governmental organisations, private sector and the government meant to minimise lifestyle causes of hypertension are a priority.
DOI: 10.17632/v9wnr4bft9
title: Data for: Wind turbine fault diagnosis based on ReliefF-PCA and DNN

description: There are 4 databases, which includes four wind turbines' fault data.
DOI: 10.6084/m9.figshare.28875404.v1
title: Comparison of microbial assemblages associated with the stalked barnacle <i>Neolepas marisindica</i> from two adjacent hydrothermal vent fields on the Central Indian Ridge

description: In this study, we analyzed the bacterial composition and predicted functional profiles of <i>Neolepas</i><i> marisindica</i><i> </i>collected from two geographically adjacent hydrothermal vent fields, Solitaire (Site A) and Onnuri (Site D), located along the CIR.
DOI: 10.17632/zjcy22ztjr
title: Enhanced differentiation of neural progenitor cells in Alzheimer’s disease into vulnerable immature neurons

description: Original western blots
DOI: 10.25440/smu.12062820.v1
title: Data from: China's Innovation Landscape

description: This record contains the underlying research data for the publication "China's Innovation Landscape" and the full-text is available from: https://ink.library.smu.edu.sg/lkcsb_research/3569The People's Republic of China has experienced three decades of sustained, strong annual economic growth as it transitions from a centrally planned economy to a free market. Currently the world's second largest economy, China recognizes scientific and technological innovation as an increasingly important strategy to fuel the next phase of its productivity growth. However, the drivers and trajectories of China's scientific and technological growth remain under-investigated. To understand elements of China's innovative activities, particularly in science and technology, an analysis of comprehensive patent data provided by the State Intellectual Property Office (SIPO) of China is presented here.
DOI: 10.6084/m9.figshare.18095825.v2
title: Genomic patterns of homozygosity and inbreeding depression in Murciano-Granadina goats - Dataset

description: Genotypic information from 1,040 female Murciano-Granadina goats and the phenotypic records for milk traits of 820 female Murciano-Granadina goats. The dataset includes a README file with the information about each file.
DOI: 10.6084/m9.figshare.23796045.v1
title: Hypertension_dataset.sav

description: Dataset of hypertension in Ethiopia.
DOI: 10.17632/h2pbhgv9wc
title: SMA libraries for metabolite identification and quantification in antarctic soils

description: Metabolite libraries built from NMR spectra for the metabolomics analysis of antarctic soils extracts, using the Simple Mixture Analysis (SMA) tool implemented in MestreNova 14.3.0-30573 software.
DOI: 10.6084/m9.figshare.19142129.v1
title: Figure 4B_PepperPRINT Microarray Results

description: Microarray plots for antibodies 1D11, 9A12, 10F8 and 15G11 binding to the overlapping peptide libraries of 7, 10 and 13 aa in length corresponding to the gH. performed by PepperPrint technologies (https://www.pepperprint.com/<b>)</b>
DOI: 10.6084/m9.figshare.20805586.v1
title: Data and MATLAB code for neural space analyses of the tokens task in monkeys

description: This includes the data and MATLAB software necessary to produce the analyses reported in Thura, Cabana, Feghaly & Cisek (2022) " Integrated neural dynamics of sensorimotor decisions and actions" <br> See DataDocumentation.pdf for instructions.
DOI: 10.6084/m9.figshare.25670577.v2
title: Data for manuscript to JGR-P in 2024

description: Model output data for plotting the figures in the manuscript submitted to JGR-Planets.
DOI: 10.6084/m9.figshare.26388166.v1
title: Proteomic data in row format (.adat)

description: Samples from 82 individuals with suspected GBC who underwent bisegmentectomy and lymphadenectomy at Karolinska University Hospital between 2009 and 2020 were included in this retrospective, observational, single-center study. Preoperative plasma samples were analyzed using the 7 500 proteomics panel from SomaScan.
DOI: 10.6084/m9.figshare.28107404.v1
title: Choerodon schoenleinii genome and annotation

description: The genome and annotation of Choerodon schoenleinii