cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24372535.v1
title: Online Legal Driving Behavior Monitoring for Self-driving Vehicles

description: In source data folder, we provide the source data of figures in manuscript. 
In Supplementary Data folder, we provide the explanatory document about the dataset, along with some dataset segments of SIND dataset. In addition, we have provided a MATLAB version of the AD4CHE visualization program and a Python version of the SIND visualization program. The usage of the visualization program is attached in the respective folder. Recorded scenarios include the input and output data of the Field test. Original traffic law includes the original traffic laws and the subdivided version.
DOI: 10.6084/m9.figshare.24717795.v1
title: Global_lake_aquatic_vegetation_datasets

description: Datasets associated with a Science bulletin paper, titled “Mapping global lake aquatic vegetation dynamics using 10-m resolution satellite observations"Citation: Hou, X., Liu, J., Huang, H., Zhang, Y., Liu, C., & Gong, P. (2024). Mapping global lake aquatic vegetation dynamics using 10-m resolution satellite observations. Science Bulletin
DOI: 10.6084/m9.figshare.5125228.v1
title: Supplementary Material for: Serum microRNA-21 and microRNA-221 as Potential Biomarkers for Cerebrovascular Disease

description: <b><i>Background/Aims:</i></b> MicroRNA miR-21, miR-221 and miR-145 have been implicated in the cardiovascular system. We aimed to compare the serum levels of the three microRNAs (miRNAs) in different severities of cerebrovascular diseases and evaluate the feasibility of using these miRNAs as biomarkers for stroke. <b><i>Methods:</i></b> We enrolled 167 subjects with ischemic stroke, 66 atherosclerosis subjects with any carotid plaque score and 157 healthy controls. These three types of subjects represent three levels of severity in cerebrovascular diseases. Analysis of covariance was used to evaluate the relationship between miRNAs and disease severity with adjustment for conventional risk factors. To test the prediction for stroke, we built regression models containing the serum miRNA levels and risk factors. Prediction capabilities were compared by the receiver operating characteristic curves. <b><i>Results:</i></b> Stroke patients and atherosclerosis subjects had significantly higher miR-21 and lower miR-221 serum levels than healthy controls, while the miR-145 expression was too low to provide useful information in this regard. The best model showed that miR-21 and miR-221 were independent predictors. There was a 6.2-fold increase for stroke risk when miR-21 levels increase by log<sub>10</sub>2<sup>-ΔCt</sup> = 1, while a 10.4-fold increase was observed as miR-221 decreases by log<sub>10</sub>2<sup>-ΔCt</sup> = 1. <b><i>Conclusions:</i></b> Serum miR-145 was not detected in over 50% of the patients and it may not be an ideal marker to predict stroke. MiR-21 and miR-221 are novel biomarkers for atherosclerosis and stroke.
DOI: 10.6084/m9.figshare.8872646.v3
title: GitHub repo for Spencer et al. 2019, Oly carryover effects

description: GitHub repository for manuscript, <i>Carry-over effects of temperature and pCO<sub>2</sub> across multiple Olympia oyster populations.</i><i><br></i>To view in GitHub: https://github.com/RobertsLab/Paper-oly-adult-oa<i><br></i><b>Abstract</b><b><br></b>Impacts of adult exposure to elevated winter temperature and altered carbonate chemistry on reproduction and offspring viability were examined in the Olympia oyster (Ostrea lurida). Three distinct populations of adult, hatchery-reared O. lurida, plus an additional cohort spawned from one of the populations, were sequentially exposed to elevated temperature (+4°C, at 10°C), followed by elevated pCO2 (+2204 µatm, at 3045 µatm) during winter months. Male gametes were more developed after elevated temperature exposure and less developed after high pCO2 exposure, but there was no impact on female gametes or sex ratios. Oysters previously exposed to elevated winter temperature released larvae earlier, regardless of pCO2 exposure. Those exposed to elevated winter temperature as a sole treatment produced more larvae per day, but when oysters were also exposed to high pCO2 there was no effect. These combined results indicate that elevated winter temperature accelerates O. lurida spermatogenesis, resulting in earlier larval release and increased production, with elevated pCO2 exposure negating effects of elevated temperature. Offspring were reared in common conditions for one year, then deployed in four bays for three months. Offspring of parents exposed to elevated pCO2 had higher survival rates in two of the four bays, which had distinct environmental conditions. This carryover effect demonstrates that parental conditions can have substantial ecologically relevant impacts that should be considered when predicting impacts of environmental change. <br>
DOI: 10.17632/xf7pyvhb2v
title: Dataset of Named Entity Recognition for Uzbek language

description: As part of the study, an annotated corpus of the Uzbek language was created for training and evaluating named entity recognition models. The corpus includes 2,000 sentences (25865 words) collected from various sources:
• Certain part of the data (Sentences from 1 to 154 in the Dataset) was extracted from the publicly available lex.uz database, which contains official texts that are highly literate and have a formal language structure.
• To increase the number of named entities in sentences and ensure diversity, author's sentences were developed containing several entities of different types. This enriched the corpus with complex structures and increased the efficiency of model training.
Data annotation was carried out manually using the BIOES scheme, which provides detailed marking of boundaries and types of named entities. All abstracts were reviewed by Uzbek language experts to ensure accuracy and consistency of data.
DOI: 10.6084/m9.figshare.24959727.v1
title: Yohannes A.Ejigu Amharic_ASR_Dataset.zip

description: A dataset having both the audio data and it's transcriptions in Amharic Characters. I have uploaded the Audio data which's around 128 hours. but I have a data 8 times of it with an augmentation applied in 8 different techniques. But here I have uploaded the original data without augmentation applied.
DOI: 10.6084/m9.figshare.28856495.v1
title: HOFNet

description: HOFNet Pretrained and Fine-tuned Model Checkpoints<br>This repository contains four `.ckpt` files corresponding to the pretrained and fine-tuned weights of the HOFNet model. These checkpoints are designed for solvent property prediction in hydrogen-bonded organic frameworks (HOFs).<br>Files Description<br>- <code><strong>pretrain_real_best.ckpt</strong></code>Pretrained weights using real HOF data only.<br>- <code><strong>pretrain_real_hofdiff_best.ckpt</strong></code>Pretrained weights using a hybrid dataset combining real HOF data and HOFDiff-generated synthetic data.<br>- <code><strong>real_best.ckpt</strong></code>Fine-tuned weights on the real HOF solvent dataset, based on `pretrain_real_best.ckpt`.<br>- <code><strong>real_hofdiff_best.ckpt</strong></code>Fine-tuned weights on the real HOF solvent dataset, based on `pretrain_real_hofdiff_best.ckpt`.<br>For usage and implementation details, please refer to the official HOFNet repository: https://github.com/wangtaoyang/HOFNet
DOI: 10.6084/m9.figshare.12758066.v2
title: Modified IEEE distribution systems.docx

description: IEEE system data
DOI: 10.6084/m9.figshare.14321590.v1
title: Forecast model for dephosphorization process of ferromanganese steels using artificial neural networks

description: ABSTRACT One of the main problems affecting the quality of steel products is the existence of contaminants in alloy steel, being phosphorus (P) a major contamination element interfering with the steelmaking process. The increased P concentration levels can severely affect physical integrity of steel bonds, thus threatening the quality of the final product. The dephosphorization process of Ferromanganese consists by carbothermic reaction that involves the control of the manganese volatilization and reduction of manganese oxide in injection of oxygen. Therefore, we propose to forecast model for dephosphorization process of Ferromanganese steels in a steelmaker industry, that allows estimating the phosphorus concentration levels at the final refining process. We chose the artificial neural network models because it is computational models inspired in the human nervous system and an architecture of neural network with the Levenberg-Marquadt algorithm and Kolmogorov theorem for improving the estimation technique. The developed model presented excellent performance with a percentage error of 0.09%. Based on this created estimation model it is possible to estimate the impact of certain P concentration levels in FeMnMC beforehand, with a considerable amount of reliability.
DOI: 10.6084/m9.figshare.23599143.v3
title: Cicer wild genome assemblies and super-pangenome associated files

description: <em>Cicer</em> super-pangenome analysis and <em>Cicer</em> wild de novo genome assemblies
DOI: 10.6084/m9.figshare.28777829.v1
title: Replication package of "An empirical evaluation of white-box and black-box test case prioritization techniques in CPSs modeled in Simulink"

description: Replication package of the paper.
DOI: 10.6084/m9.figshare.7243520.v1
title: On the use of thermographic method to measure fatigue limits

description: Abstract Traditional fatigue limit measurements are expensive and time consuming, requiring a large number of specimens and a long time to be completed. An alternative approach is used in this work to obtain the fatigue limit of a cold drawn steel, in a rotating bending machine, by monitoring temperature variations induced by different load range levels in just a few specimens. Comparisons with Dixon’s traditional up-and-down method confirm that this thermographic approach is indeed a much more efficient, faster, and cheaper method to obtain fatigue limits.
DOI: 10.17632/c7d734jrh3
title: Supplemental Tables and Figures - Melanoma Survival by Age Group: Population-Based Disparities for Adolescent and Young Adult Patients by Stage, Tumor Thickness, and Insurance Type

description: Supplementary materials for the paper, "Melanoma Survival by Age Group: Population-Based Disparities for Adolescent and Young Adult Patients by Stage, Tumor Thickness, and Insurance Type," published in JAAD.
DOI: 10.17632/rrht5phcwy
title: One Size Does Not Fit All: Multivariant User Interface Personalization in E-commerce

description: Datset includes:
1. information about the online store's customer behavior from the period 1.04.2023-30.11.2023, which is the basis for clustering and evaluation of the impact of dedicated UI variants on e-commerce performance indicators
2. the results of clusterization performed in the 1st and 2nd iteration of the study (including visualization of the clusters)
3. a detailed summary of the sessions and purchasing decisions that are the basis for calculating the performance indicators in the 1st and 2nd iteration of the research
DOI: 10.6084/m9.figshare.28251893.v1
title: Cleaned dataset

description: Cleaned dataset
DOI: 10.17632/j8gngj9pxd
title: Research data supporting "Thermodynamics and kinetics of cation partitioning between plagioclase and a trachybasaltic melt in static and dynamic systems"

description: ZIP file containing research data associated with the manuscript entitled "Thermodynamics and kinetics of cation partitioning between plagioclase and a trachybasaltic melt in static and dynamic systems: A reassessment of the lattice strain and electrostatic energies of substitution under steady-state growth conditions"
DOI: 10.6084/m9.figshare.24988116.v4
title: <b>Research Data Governance Framework for Research Performing Organizations in Malaysia: Modified Delphi Survey Instruments</b>

description: These instruments were employed in a four-round modified Delphi study to collect data on Research Data Governance (RDG) activities and roles. Their specific design aimed to provide insights into the implementation of RDG within research-performing organizations (RPOs). Furthermore, the objective was to comprehend the governance tasks considered significant for RDG implementation by data practitioners within RPOs, and to identify the main roles governing research data, including potential stakeholders holding these roles. The overarching goal is to develop a tailored RDG framework for RPOs in Malaysia, serving as a guide for organizational leaders to initiate effective research data management, incorporating best practices. For Rounds I and II, the instruments were categorized into four sets to accommodate data practitioners from strategic (Set A), tactical (Set B), operational (Set C), and researcher (Set D) perspectives. While some items were mandatory for all sets, others were specifically designed for the identified group in each set. For Rounds III and IV, a single instrument was used for all participants.
DOI: 10.6084/m9.figshare.27123633.v1
title: Dataset of pollen limitation from 2633 pollen-supplementation experiments combined with plant threat status and values for thirteen reproduction and life history traits

description: This dataset supports the findings of the paper <b>Global meta-analysis shows that threatened flowering plants have higher pollination deficits</b><b> </b>(Lin et al., Nature Communications). The data are part of the GloPL dataset (Bennett et al., 2018; https://doi.org/10.1038/sdata.2018.249) with the inclusion of plant threat status. It contains two sheets. The first sheet contains data analyzed in the phylogenetic meta-analysis. The second sheet contains data analyzed in the structural equation modeling.
DOI: 10.6084/m9.figshare.28706999.v1
title: <i>Apis mellifera</i> brush border membrane vesicle (BBMV) proteome

description: Brush border membrane vesicle of <i>Apis mellifera</i> adult and larval midgut was prepared. The files contain proteome data of <i>A. mellifera</i> BBMV.
DOI: 10.6084/m9.figshare.5554147.v1
title: Emu track and Undertracks in cement - photos + photogrammetric models.

description: Track and undertracks of emu, recorded in cement. Digitized using Photogrammetry.<br>Data from figure 5 of :<br>Milàn, J. and R. G. Bromley (2008). "The Impact of Sediment Consistency on Track and Undertrack Morphology: Experiments with Emu Tracks in Layered Cement." Ichnos 15: 19-27.<br>Dataset includes original photos and digital models. <br><br>
DOI: 10.6084/m9.figshare.8311895.v1
title: Incidence dataset

description: Incidence dataset for Costa Rica. This file must be located in the same folder than rcode.
DOI: 10.17632/ns7yn3rh69
title: Altered immunophenotypic expression in the peripheral bladder cancer immune landscape .fcs files

description: Treatments targeting the immune system only benefit a subset of bladder cancer (BC) patients. Biomarkers predictive of BC progression and response to specific therapeutic interventions are required. We evaluated whether peripheral blood immune subsets and expression of clinically relevant immune checkpoint markers are associated with clinicopathologic features of BC. 

Peripheral blood mononuclear cells isolated from blood collected from 23 BC patients and 9 age-matched unaffected-by-cancer control donors were assessed using a 21-parameter flow cytometry panel composed of markers of T, B, NK, and myeloid populations and immune checkpoint markers.

Patients with BC had significantly lower numbers of circulating CD19+ B cells and elevated circulating CD4+CD8+ T cells compared to the control cohort. Immune checkpoint markers PD-1 and TIM-3 were elevated in the total peripheral immune cell population in BC patients. Within the BC cohort, PD-1 expression in T and myeloid cells was elevated in muscle-invasive compared to non-muscle-invasive disease. Additionally, elevated T, B and myeloid PD-1 cell surface expression was significantly associated with tumor stage, suggesting that measures of peripheral immune cell exhaustion may be a predictor of tumor progression in BC. Finally, positive correlations between expression levels of the various immune checkpoints both overall and within key peripheral blood immune subsets collected from BC patients were observed highlighting likely co-regulation of peripheral immune checkpoint expression. 

The peripheral blood immuno-phenotype in BC patients is altered compared to cancer-free individuals. Understanding this dysregulated immune profile will contribute to the identification of diagnostic and prognostic indicators to guide effective immune-targeted, personalized treatments. 


This dataset contains raw, ungated flow cytometry files in .fcs format for the PBMCs of 23 BC-affected individuals, and 9 controls examined against this panel.
DOI: 10.6084/m9.figshare.11985912.v1
title: Dataset and code used in the temporal seed dispersal multilayer network Costa et al. 2020 Journal of Ecology

description: Dataset and code supporting the results from Costa et al. (2020) Species temporal persistence promotes the stability of fruit-frugivore interactions across a five-year multilayer network, Journal of Ecology.<br>- Dataset.xlsx: File containing the data used to calculate monolayer species- and network-level descriptors, in statistical analysis, and to create Figures 2, S1, S2, and S3. More details in the file “R script.R”.<br>- R script. R: Contains all the R code used in the study<br>- Multilayer_temporal_data.csv: Used to calculate multilayer modularity<br>- DisperserAbundanceMatrix.txt: Contains the mean number of birds captured per day in each year. It is used to calculate the interlayer link strength for each bird species between sequential networks<br>- SeedsAbundanceMatrix.txt: Contains the mean number of fruits counted in the transects in each year. It is used to calculate the interlayer link strength for each plant species between sequential networks<br>- modularity_weighted_multilayer_obs.m: Matlab code to calculate the observed multilayer modularity.<br>- modularity_weighted_multilayer_null1.m: Matlab code to calculate the multilayer modularity of the null model where observed intralayer links were randomly reshuffled while keeping marginal totals fixed. - GenLouvain2.0.zip: Contains the Matlab code to run the Generalized Louvain algorithm in order to calculate multilayer modularity. The R code used to compute multilayer modularity was adapted from Pilosof et al. (2017) and all Matlab code used here is available in Pilosof (2017). Please, if you use any of these codes, cite (when applicable) the following works:<br>Jutla, I. S., Jeub, L. G. S. & Mucha, P. J. (2014) A generalized Louvain method for community detection implemented in MATLAB, http://netwiki.amath.unc.edu/GenLouvain (2011-2014).<br>Pilosof, S., Porter, M. A., Pascual, M. & Kéfi, S. (2017) The multilayer nature of ecological networks. Nature Ecology & Evolution, 1, 0101. https://doi.org/10.1038/s41559-017-0101<br>Pilosof, Shai (2017): Matlab code for calculating of modularity in bipartite networks. Original publication: Pilosof et al. (2017), Nature Ecology & Evolution. figshare. Dataset. https://doi.org/10.6084/m9.figshare.3472679.v3
DOI: 10.6084/m9.figshare.12698297.v1
title: Llanbedr GPR Dataset

description: 500MHz 3D GPR dataset of Llanbedr Airfield
DOI: 10.6084/m9.figshare.13526318.v1
title: Bird communities in African cocoa agroforestry are diverse but lack specialised insectivores

description: Datasets corresponding to manuscript Bird communities in African cocoa agroforestry are diverse but lack specialised insectivores
DOI: 10.6084/m9.figshare.19190606.v1
title: UCEs_95%.nex

description: UCEs matrix with a 95% completeness
DOI: 10.6084/m9.figshare.22637347.v1
title: HG002 Illumina PCR Free

description: HG002 Illumina PCR Free vcf 40x coverage
DOI: 10.6084/m9.figshare.28208036.v1
title: Dead fine fuel moisture content. 2012-2014. South East Australia

description: Dead fuel moisture content data associated with:Nolan, R.H., V. Resco de Dios, M.M. Boer, G. Caccamo, M.L. Goulden and R.A. Bradstock. 2016. Predicting dead fine fuel moisture at regional scales using vapour pressure deficit from MODIS and gridded weather data. <i>Remote Sensing of Environment</i>. 174:100-108.Data contains:Profile 1-hour dead fuel moisture content: the litter layer down to the soil, including leaves, bark, twigs (&lt;6 mm). Does not include duff layer.Duff dead fuel moisture content: Sampled if present. Partly decomposed fuel on the soil surface.Suspended 1-hour dead fuel moisture content: (&lt;6 mm diameter) dead material suspended off the ground, includes leaves, bark, and twigs suspended in shrubs.Suspended 10-hour dead fuel moisture content: (6-25 mm diameter) dead material suspended off the ground, generally fallen branches, detached from plant and not touching the ground.Note, some samples include free water, and thus the moisture content values extend beyond the fibre saturation point (~35%).
DOI: 10.17632/838dbcjpxb
title: Dataset of depressive and suicidal posts

description: Dataset collected in social networks that are mostly used by youth of Commonwealth of Independent States (CIS) countries. The data was collected from open accounts of VKontakte social network by using VK.api and applying the most used keywords that would signify depressive mood.
DOI: 10.6084/m9.figshare.28522610.v1
title: Comparing the efficacy of two camera trapping techniques for assessing the occupancy, detection and activity patterns of small Mustelids in Britain

description: Summary of detections for three mustelid species
DOI: 10.17632/6j3mc3z293
title: Pro-environmental behaviour at work: the psychological and social drivers behind recycling in the workplace

description: The data were analysed using structural equation modelling (SEM), which explored the relationships between values, beliefs, norms, and recycling behaviour; and explained 18% of the variance in recycling behaviour. The study found that biospheric values significantly predicted environmental beliefs; whilst environmental beliefs influenced personal norms. In turn, personal norms were found to predict recycling behaviour in the workplace. However, neither global norms nor organisational norms predicted personal norms or recycling behaviour. The findings suggest that psychological drivers are more influential in determining recycling behaviour than social norms, supporting the value-belief-norm theory.
DOI: 10.17632/n3tgfn7xj8
title: 6-dof strong ground motion data records from Kefalonia Island (November 8th 2014, MMI = VII and November 17th 2015, MMI = V)

description: Two the strongest 6-dof ground motion records from Perron et al. (https://doi.org/10.1785/0220170125) dataset. The records have been obtained at ROAN site (vs,30 = 250 m/s) on Kefalonia Island in Greece. Event "20141108_231542" from November 8th 2014. Epicentral distance 9.2 km (source depth 18.4 km). Modified Intensity VII, PGVhor = 18.4 cm/s. Event "20151117_071007" from November 17th 2015. Epicentral distance 56.23 km (source depth 10.7 km). Modified Intensity V, PGVhor = 14.6 cm/s. Original records were truncated and detrended. Rotational accelerations were obtained from original rotation rates of the 'R1' sensor by numerical differentiations. The plus signs of translational components are toward the North (N-S component), toward the East (E-W component), Up (Z component) Rotational components plus signs are accordingly with right-hand rule. Analyses on the two records can be found in the paper by Bonkowski et al. (https://doi.org/10.1016/j.soildyn.2018.10.026) When the results are used in future publications please quote the above publication together with: Perron V, Hollender F, Mariscal A, Theodoulidis N, Andreou C, Bard P-Y, et al. Accelerometer, Velocimeter Dense‐Array, and Rotation Sensor Datasets from the Sinaps@ Postseismic Survey (Cephalonia 2014–2015 Aftershock Sequence). Seismological Reseach Letters, 2018, vol.89, pp.678–87 doi:10.1785/0220170125. Where more information can be found.