cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12974639.v2
title: Data and R code for Peng & Chen (2020 Global Ecology and Biogeography): Global responses of fine root biomass and traits to plant species mixtures in terrestrial ecosystems.

description: <b>Data and R code for Peng & Chen: Global responses of fine root biomass and traits to plant species mixtures in terrestrial ecosystems.</b><br>
DOI: 10.6084/m9.figshare.19968335.v1
title: Probability of pregnancy in beef heifers

description: This study aimed to evaluate the influence of initial weight, initial age, average daily gain in initial weight, average daily gain in total weight and genetic group on the probability of pregnancy in primiparous females of the Nellore, 1/2 Simmental + 1/2 Nellore, and 3/4 Nellore + 1/4 Simmental genetic groups. Data were collected from the livestock file of the Farpal Farm, located in the municipality of Jaíba, Minas Gerais State, Brazil. The pregnancy diagnosis results (success = 1 and failure = 0) were used to determine the probability of pregnancy that was modeled using logistic regression by the Proc Logistic procedure available on SAS (Statistical..., 2004) software, from the regressor variables initial weight, average daily gain in initial weight, average daily gain in total weight, and genetic group. Initial weight (IW) was the most important variable in the probability of pregnancy in heifers, and 1-kg increments in IW allowed for increases of 5.8, 9.8 and 3.4% in the probability of pregnancy in Nellore, 1/2 Simmental + 1/2 Nellore and, 3/4 Nellore + 1/4 Simmental heifers, respectively. The initial age influenced the probability of pregnancy in Nellore heifers. From the estimates of the effects of each variable it was possible to determine the minimum initial weights for each genetic group. This information can be used to monitor the development of heifers until the breeding season and increase the pregnancy rate.
DOI: 10.6084/m9.figshare.3969201.v1
title: Bovespa.csv

description: This dataset contains historical data about stocks composing the Ibovespa Brasil São Paulo Stock Exchange Index (IBOV), collected during one year, from 28 September 2015 until 28 September 2016, available at Yahoo! Finance [1]. The 902.21 KB dataset is composed of 14.977 records, identified by reference date and sticker (ELPL4, ABEV3, BBSE3, BVMF3, BRML3, BRPR3, BBDC4, BRAP4, BRFS3, CCR03, CMIG4, CESP6, CTIP3, HGTX3, CIEL3, CPLE3, CSAN3, CPFE3, CYRE3, ECOR3, ENBR3, ELET3, EMBR3, ESTC3, EVEN3, FIBR3, GFSA3, GGBR3, GOLL4, PCAR4, HYPE3, ITUB4, ITSA4, JBSS3, KLBN4, LIGT3, RENT3, LAME4, LREN3, POMO4, MRFG3, GGBR4, MRVE3, NATU3, OIBR3, PDGR3, PETR3, PETR4, QUAL3, RSID3, SBSP3, CRUZ3, SUZB5, VIVT4, TIMP3, UGPA3, USIM5, VALE3). Records are arranged into fields, delimited by commas, representing respectively:<br> - Date: Reference date, - Ticker: Identification for reference stock, - Open: Reference stock opening value in reference date, - High: Reference stock highest value in reference date, - Low: Reference stock lowest value in reference date, - Close: Reference stock closing value in reference date, - Volume for the day: The number of shares from reference stock traded in reference date. To ensure that data can be reused in the long term, text files are stored in CSV format and may be loaded directly into Excel and similar spreadsheet programs. <b>[1] Yahoo, http://finance.yahoo.com.</b>
DOI: 10.6084/m9.figshare.19753786.v1
title: Obesity patterns, metabolic abnormality, and diabetic kidney disease in patients with type 2 diabetes

description: The study aimed to examine the associations of obesity measures and metabolic abnormalities with DKD in a Chinese diabetic population
DOI: 10.6084/m9.figshare.25443739.v1
title: Directional Statistics for 3D Model-Based UAV Tracking

description: Video + Annotation (X, Y, Z, α, β, γ)For additional details, please check the following article:<br>Nuno Pessanha Santos, Vitor Lobo and Alexandre Bernardino, Directional Statistics for 3D Model-Based UAV Tracking in IEEE Access, vol. 8, pp. 33884-33897, 2020.<br>DOI: <b>https://doi.org/10.1109/ACCESS.2020.2973970</b>
DOI: 10.6084/m9.figshare.7497137.v1
title: Data & Code: "Disease mortality in domesticated animals is predicted by host evolutionary relationships"

description: Data and code to reproduce the analyses in:<br>Farrell, M.J., & Davies, T.J. (2019) "Disease mortality in domesticated animals is predicted by host evolutionary relationships"<br>Detailed information on R scripts and and metadata is included in the enclosed file "Farrell_Davies_Metadata.pdf"
DOI: 10.17632/5kgw7ssbpx
title: Biological constraints for parameter values of large-scale biologically plausible human Neuroscience models

description: This dataset contains 1.) time constants of excitatory and inhibitory neocortical neurons, collated from the NeuroElectro database, 2.) spike thresholds of excitatory and inhibitory neurons, collated from the NeuroElectro database, and 3.) posterior distributions of parameters of large-scale biologically plausible models of human Neuroscience data, estimated using likelihood-free inference (LFI) methods to fit these models to Magnetoencephalography (MEG) resting-state data (N=75) in Williams et al. (2023), NeuroImage paper 4.) Data used to perform Prior Predictive Checks in Williams et al. (2023), NeuroImage paper, 5.) Data used to perform Posterior Predictive Checks in Williams et al. (2023), NeuroImage paper.

We used pooled versions of the time constants and spike threshold values in this dataset along with other biological constraints, to set prior distributions of parameters of large-scale biologically plausible models of human Neuroscience data. We then used LFI methods to estimate posterior distributions of these parameters from MEG resting-state data (N=75) - we have also shared the posterior distributions in this dataset. Examples of parameters for which we have shared posterior distributions include strengths of connections within and between excitatory and inhibitory neuronal populations, time constants of excitatory and inhibitory neuronal populations, and firing thresholds of excitatory and inhibitory neuronal populations. These posterior distributions could be used by other research groups to set prior distributions of parameters of their biologically plausible models, in both experimental and modeling studies.
DOI: 10.6084/m9.figshare.28648610.v1
title: raw-data

description: This folder contains the raw data that was used to train the Deep Potential model of the IrO2-water interface.
DOI: 10.17632/ynz74ch88k
title: Análise do conceito tensão do papel de cuidador: uma abordagem segundo Meleis

description: Objetiva analisar o conceito tensão do papel do cuidador teoricamente e operacionalmente para favorecer a instrumentalização do uso na pesquisa e na prática clínica. A pesquisa foi fundamentada no modelo de Afaf Meleis (2018), segundo suas etapas e operacionalizada por uma scoping review, a qual identificou 67 estudos capazes de integrar a amostra final. A partir de seus achados, evidenciou-se uma definição teórica e referenciais empíricos do conceito, a fim de instrumentalizar a inferência clínica. Além disso, houve reconhecimento de 29 antecedentes e 21 consequentes ao conceito.
DOI: 10.17632/b66g5nknk4
title: Vulnerability-related Source Code Comments in GitHub

description: This artefact is a repository consisting of the collected dataset including (i) 1,491 vulnerability-related source code comments extracted from GitHub, and (ii) 1,491 code comments of our manual analysis. This artefact aims to enable researchers to replicate our dataset and reuse this dataset for further research.
DOI: 10.6084/m9.figshare.12028635.v1
title: Additional file 1 of Correction to: Assessing genotype-phenotype associations in three dorsal colour morphs in the meadow spittlebug Philaenus spumarius (L.) (Hemiptera: Aphrophoridae) using genomic and transcriptomic resources

description: Additional file 2: Table S1-S13. Lists of colour-associated SNPs obtained for each pairwise comparison and association analyses; genic and genotypic differentiation tests; pairwise Fst estimates among dorsal colour phenotypes; SNP correlation value (r2) in linkage disequilibrium analyses; Genome size estimates; Assembly statistics for genome and transcriptome; and lists of blast results.
DOI: 10.6084/m9.figshare.8208686.v1
title: DNA methylation patterns in human iPSC-derived sensory neuronal differentiation

description: Sensory neurons of the peripheral nervous system are critical in health and disease. Sensory neurons derived from induced pluripotent stem (iPS) cells are now being used increasingly for <i>in vitro</i> models of neuropathy, pain, and neurotoxicity. DNA methylation is critical for neurodevelopment and has been implicated in many neuronal diseases, but has not been examined in iPS-derived sensory neurons. In order to better characterize the iPS-derived sensory neuron model, we have undertaken a genome-wide DNA methylation study on the cells from human iPS to iPS-derived sensory neurons during differentiation through reduced representation and bisulfite sequencing. We report decreasing DNA methylation with iPS-derived sensory neuronal differentiation that is reflected in increasing numbers and proportions of hypomethylated individual CpGs and regions, as well as lowered DNMT3b expression. Furthermore, genes with changes in DNA methylation near their TSS suggest key pathways that may be involved in iPS-derived sensory neuronal differentiation. These findings provide insights into sensory neuronal differentiation and can be used for further <i>in vitro</i> modelling of disease states.
DOI: 10.6084/m9.figshare.20539893.v1
title: Well-curated QSAR datasets for diverse protein targets

description: High-throughput screening (HTS) is the use of automated equipment to rapidly screen thousands to millions of molecules for the biological activity of interest in the early drug discovery process. However, this brute-force approach has low hit rates, typically around 0.05\%-0.5\%. Meanwhile, PubChem is a database supported by the National Institute of Health (NIH) that contains biological activities for millions of drug-like molecules, often from HTS experiments. However, the raw primary screening data from the PubChem have a high false positive rate. A series of secondary experimental screens on putative actives is used to remove these. While all relevant screens are linked, the datasets of molecules are often not curated to list all inactive molecules from the primary HTS and only confirmed actives after secondary screening. Thus, we identified nine high-quality HTS experiments in PubChem covering all important target protein classes for drug discovery. We carefully curated these datasets to have lists of inactive and confirmed active molecules. <br> We preprocessed the input SMIELS strings to Structure-Data Files (SDFs). The dataset is specified by its PubChem Accession Identifier. Prepossessing to the original data includes converting SMILES strings to 3D SDF files, generating 3D conformation, and filtering. Conversion from SMILES to SDF files is done using Open Babel, version 2.4.1. Conformations are generated using Corina, version 4.3. Molecules are further filtered with validity, duplicates with BioChemical Library (BCL)
DOI: 10.6084/m9.figshare.22211608.v1
title: Mediating role of the Mindfulness in Relation between Impulsiveness and Job Stressfulness Perception

description: The causes of high accident rates in road traffic should be seen in the human factor. The driver is influenced by many different and simultaneously internal and external interacting stimuli, which must be correctly perceived and analyzed to select the right response. Very often a person is unable to cope with a large amount of information and integrate it accurately. This leads to work stress, which reduces cognitive resources and results in a loss of efficiency in various executive functions.
DOI: 10.6084/m9.figshare.22691485.v1
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.24711990.v1
title: Figure 1. Demographic Profile of Respondents.docx

description: Demographic, Social, and Occupational Profiles of the Respondents are displayed as a percentage ratio.
DOI: 10.6084/m9.figshare.28150952.v1
title: <b>Lifelong Learning and Artificial Intelligence Competency as Drivers of Career Resilience</b>

description: Data collected for project titled "<b>Lifelong Learning and Artificial Intelligence Competency as Drivers of Career Resilience</b>"
DOI: 10.6084/m9.figshare.5554582.v1
title: Experiment HaLT-SubjectC-160302-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.17632/nbdrbw4bbw
title: Zhang et al., 2020

description: Table S1. Magnesium isotopic compositions of standards and samples from the Liuchapo Formation and Niutitang Formation, along with carbon isotopic compositions and total organic carbon of samples across the E-C boundary succession at the Bahuang section, South China. Table S2. Concentrations of some major elements, and K/Ti, Mg/Ti, Ca/Ti and Fe/Ti molar ratios, along with chemical index of alteration and Al/Ti, Al/Si ratios across the E-C boundary succession at the Bahuang section, South China.
DOI: 10.6084/m9.figshare.22125683.v1
title: Supplementary Material for: Comparison of the soluble fms-like tyrosine kinase 1/ placental growth factor-ratio alone versus a multi-marker regression model for the prediction of preeclampsia-related adverse outcomes after 34 weeks of gestation

description: Introduction: The objective of this retrospective study was to compare the predictive performance of the soluble fms-like tyrosine kinase 1 (sFlt-1) / placental growth factor (PlGF)-ratio alone or in a multi-marker regression model for preeclampsia-related maternal and/or fetal adverse outcomes in women &gt;34 weeks of gestation. Methods: We analyzed the data collected from 655 women with suspected preeclampsia. Adverse outcomes were predicted by multivariable and univariable logistic regression models. The outcome of patients was evaluated within 14 days after presentation with signs and symptoms of preeclampsia or diagnosed preeclampsia. Results: The full model integrating available, standard clinical information and the sFlt-1/PlGF-ratio had the best predictive performance for adverse outcomes with an AUC of 72.6%, which corresponds to a sensitivity of 73.3% and specificity of 66.0%. The positive predictive value of the full model was 51.4% and the negative predictive value was 83.5%. 24.5% of patients, who did not experience adverse outcomes but were classified as high risk by sFlt-1/PlGF-ratio (≥38), were correctly classified by the regression model. The sFlt-1/PlGF-ratio alone had a significantly lower AUC of 65.6%. Conclusions: Integrating angiogenic biomarkers in a regression model improved the prediction of preeclampsia-related adverse outcomes in women at risk after 34 weeks of gestation.
DOI: 10.6084/m9.figshare.26104987.v1
title: Extracted SEED-VIG dataset for cross-dataset driver drowsiness recognition

description: The SEED-VIG dataset contains EEG data from subjects conducting a monotonous driving task in a virtual simulator. The eye closure (PERCLOS) information was obtained from Senso-Motoric-Instrument (SMI) eye-tracking glasses, which was used to label the data. The dataset is officially available from:<br>https://bcmi.sjtu.edu.cn/~seed/seed-vig.html<br>We have extracted a small portion of the dataset for research on cross-dataset driver drowsiness recognition. Specifically, we down-sampled the EEG signals to 128Hz and processed the data with a low-pass filter of 1Hz. EEG samples with a 3-second length were extracted prior to the PERCLOS evaluation event. We followed the procedure adopted in [1] by labeling the samples as ‘alert’ when PERCLOS is lower than 0.35 and samples as ‘drowsy’ when PERCLOS is higher than 0.7, while the samples in the middle range were discarded. We further discarded sessions with less than 50 samples of either class and balanced the class for each session by selecting the most alert or drowsiest ones. In this way, we have 4566 samples in total from 12 subjects.<br>The data file contains 3 variables and they are EEGsample, substate and subindex.<br>"EEGsample" contains 4566 EEG samples of size 17x384 from 12 subjects. Each sample is a 3s EEG data with 128Hz from 17 EEG channels."subindex" is an array of 4566x1. It contains the subject indexes from 1-11 corresponding to each EEG sample."substate" is an array of 4566x1. It contains the labels of the samples. 0 corresponds to the alert state and 1 correspond to the drowsy state.<br>Details about our work of cross-dataset driver drowsiness recognition based on this dataset can be found from [2] and the codes are available from:<br>https://github.com/cuijiancorbin/Benchmarking-EEG-based-cross-dataset-driver-drowsiness-recognition-with-deep-transfer-learning<br><br><br>[1] W.-L. Zheng, and B.-L. Lu, "A multimodal approach to estimating vigilance using EEG and forehead EOG," Journal of neural engineering, 2017. 14(2): p. 026017.[2] Cui, Jian, et al. "Benchmarking EEG-based cross-dataset driver drowsiness recognition with deep transfer learning." 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2023. DOI: 10.1109/EMBC40787.2023.10340982
DOI: 10.17632/433mk4hmsy
title: High sensitivity of ROSE-supported ERCP-guided brushing on biliary strictures

description: Endoscopic Retrograde CholangioPancreatography (ERCP) plays a major role in biliary strictures, with brushing being a cheap and fast method to acquire cytological specimen, despite a sensitivity around 45%. Rapid On-Site Evaluation (ROSE) is widely used for Endoscopic Ultrasound-acquired cytological specimen adequacy, improving its sensitivity and specificity, nevertheless, no study evaluated its role for ERCP-guided brushing. Our aim was to assess the diagnostic yield of ERCP-guided brushing of biliary strictures when supported by ROSE. This is the database from a retrospective single-center study, including patients undergoing ERCP-guided brush cytology supported by ROSE for biliary strictures. Recorded data included patient’s clinical-radiological and ERCP features. Final diagnosis was determined after surgery, intraductal biopsy or adequate follow-up. The diagnostic yield was calculated and a subgroup analysis for factors associated with false negative or true positive result was performed.
This is the first study evaluating the use of ROSE as support for ERCP-guided brushing of biliary strictures, with a sensitivity far higher than those reported for brushing alone, and at least comparable to those of more expensive and invasive techniques.
DOI: 10.17632/dhhktnxvmm
title: The partial gene sequences and corresponding protein sequences of CGMCC8198

description: The gene sequences and protein sequences mentioned in the article
DOI: 10.6084/m9.figshare.12805625.v1
title: JVASP-16136 to JVASP-16722

description: JARVIS-DFT
DOI: 10.17632/m3fsdjprmt
title: The original data on the molecule docking of GAGases and the results of Dali server

description: This dataset contains:

Molecular docking results between GAGase II and three glycosaminoglycan substrates (HA hexasaccharide, 4-O-tri-sulfated CS, and non-sulfated CS) obtained using AutoDock Vina

Tertiary structure similarity analysis of GAGase II against structurally characterized proteins performed using the Dali server

Utility:
The dataset supports the study titled 'Crystal Structure and Catalytic Mechanism of PL35 Family Glycosaminoglycan Lyases with an Ultra-Broad Substrate Spectrum,' published in eLife.
DOI: 10.17632/z6d9m4p999
title: TinOxideCoating-Tarnishing

description: Datasets of coating of Ag thin film by SnO2 for resistance of tarnishing of Ag surfaces
DOI: 10.6084/m9.figshare.19780462.v1
title: Tables S1 and S2, Dataset S1

description: <strong>The diversity of quinoa morphological traits and seed metabolic composition</strong> Iman Tabatabaei, Saleh Alseekh, Mohammad Shahid, Ewa Leniak, Mateusz Wagner, Henda Mahmoudi, Sumitha Thushar, Alisdair R. Fernie, Kevin M. Murphy, Sandra M. Schmöckel, Mark Tester, Bernd Mueller-Roeber, Aleksandra Skirycz, Salma Balazadeh
DOI: 10.6084/m9.figshare.25498345.v1
title: Ottelia_alismoides.embryophyta_odb10.final-busco_embryophyta

description: Genome assembly of Ottelia alismoides, a multiple-carbon utilization aquatic plant.
DOI: 10.6084/m9.figshare.28031990.v1
title: Synthetic_Multimodal_Dataset_Dyslexia.csv

description: This dataset is <b>synthetic</b>, generated for the purpose of our on-going research titled <i>"Dyslexia Detection Using Multi-Modality Data."</i> The dataset was created to simulate realistic scenarios by incorporating key characteristics of individuals with dyslexia (abnormal group) and those without dyslexia (normal group).The generation process was guided by:<b>Known Characteristics of Dyslexic Individuals:</b>Handwriting patterns, including irregular pressure, inconsistent stroke velocity, and wider variability in letter spacing.Distinct EEG activity patterns, such as heightened theta and altered alpha frequencies.Behavioral indicators like slower eye blink rates and reduced smile scores during cognitive tasks.<b>Control Characteristics for Normal Individuals:</b>More consistent handwriting patterns and EEG signal distributions.Behavioral indicators aligned with typical age-appropriate cognitive and emotional responses.This synthetic dataset, therefore, allows us to explore multimodal patterns relevant to dyslexia detection while ensuring complete privacy and ethical compliance.Research UtilizationThe dataset forms the foundation of our study, enabling the development of machine learning models that can:Differentiate between dyslexic and non-dyslexic individuals.Leverage multimodal features for improved accuracy and robustness in dyslexia detection.
DOI: 10.5522/04/14595735.v1
title: Satellite-derived monthly isoprene emissions in Africa from OMI and GEOS-Chem

description: 24-hour monthly isoprene emissions at 1 degree x 1 degree. These are derived from Ozone Monitoring Instrument (OMI) observations of formaldehyde column densities for 2005-2009 and GEOS-Chem using NO<sub>x </sub>dependent yields of formaldehyde from isoprene oxidation. <br>Data are filtered for formaldehyde from other sources like biomass burning and anthropogenic activity, and dusty scenes that impact retrieval of formaldehyde from UV/visible measurements. Smearing is also corrected for using GEOS-Chem. <br> Missing values over Africa are set to -1.26e+30. Of the valid data over Africa, there are some negative values that results from scenes with formaldehyde columns close to the instrument detection limit.
DOI: 10.6084/m9.figshare.13625546.v3
title: PLANT_SERVICES_PLANT_BOOK

description: Plant-use dataset from Mabberley's Plant Book supporting the findings in: <br>Molina-Venegas et al. (2021) Maximum levels of global phylogenetic diversity efficiently capture plant services for humankind. Nature Ecology and Evolution, 5, 583-588. <br>Full details on the dataset are provided in the latter publication and in the database paper:<br>Molina-Venegas et al. (2021) A global database of plant services for humankind. PLOS ONE.<br>