cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jnm7f9vzpz
title: An Augmented Dataset of Unicorn Companies and their Graph Visualizations

description: Firstly, the repository includes a tabular dataset of unicorn companies around the world, which is originally obtained from a Kaggle repository with CC0 license (https://www.kaggle.com/datasets/deepcontractor/unicorn-companies-dataset). The source tabular dataset was then methodologically enriched with additional data for missing cells, and represented in a format that can be read into yEd graph analytics software (http://www.yworks.com/products/yed). The steps are described in the paper and the presentation.
Secondly, the repository includes multiple yEd-readable *.graphml files, that were constructed using various layout algorithms.
Thirdly, the repository includes a zip file that contains the Full Supplement to the paper. This zip file contains the dataset, graphml files, the presentation of the research, zoomable complete graphs as pdf files, a graphml drawing of the applied graph analysis methodology, and a 30+ page Supplement document. 
The 30+ page Supplement document (within the Full Supplement zip file) contains 50+ references, steps of the methodology (including the steps to produce the data), settings and parameters for the 
graph layout algorithms, and additional analyses that present a spectrum of different types of insights that can be derived from the data.
DOI: 10.17632/sz223dcb95
title: Basic information on biomass and biochar yield

description: The data are all related to biomass pyrolysis, including three pieces of biomass information, ash information and biomass char yield information at different pyrolysis temperatures. The data consists of two parts, including data obtained from one's own experiments and part of the database and other people's experimental data.There are dozens of types of biomass.
DOI: 10.6084/m9.figshare.21499230.v1
title: Genomes, fossils and the concurrent rise of modern birds and angiosperms in Late Cretaceous

description: The dataset includes a total of 5756 CDS, 4871 introns, 2384 intergenic markers, and 12449 CNEEs generated from the genomes of 124 species of neognaths and paleognaths.
DOI: 10.6084/m9.figshare.24218832.v2
title: Paleoenvironmental controls on the abundances of magnetofossils in Southwestern Iberian margin

description: The file is the dataset for the manuscript entitled 'Paleoenvironmental controls on the abundances of magnetofossils in Southwestern Iberian margin' by He et al., including paleointensity, geochemical, gain size, rock magnetic and diversity of magnetofossils data shown in the manuscript.
DOI: 10.6084/m9.figshare.25342201.v1
title: Exome-wide gene-based association analyses

description: Summary data for "Exome-wide gene-based association analyses".Note: Summary data for "Numeric_memory", "Developmental" and "Prospective_memory" failed to upload in the first time and were uploaded later separately.
DOI: 10.6084/m9.figshare.28279997.v1
title: CNTC Chinese News Text Classification Dataset

description: The CNTC corpus is a public dataset available on the Baidu PaddlePaddle AI Studio platform, containing 668,854 text samples. It covers multiple news categories, providing comprehensive support for text classification tasks across different domains and making it suitable for various text mining scenarios. The CNTC corpus exhibits a significant imbalance in category distribution.
DOI: 10.17632/kvwkhbjknc
title: The Role of Inhibitory Control on Students’ Mathematics Strategic Flexibility: The Case of Linear Equation Solving 

description: This data set includes the data from 5 studies (10 experiments) that were conducted in the doctoral thesis of Ronghuan Jiang. The data set includes all the processed data (excel or spss files) and all the raw data (Eprime data). All the data files were named in Chinese, if anyone would be interested in reanalyzing the data, please ask the author for an English translation of the files and variable names.
DOI: 10.6084/m9.figshare.1234089.v3
title: Two social network datasets for the accepted manuscript titled "Relational diversity promotes cooperation in prisoner's dilemma games" in Plos One

description: These are the two social network datasets for the accepted manuscript titled "Relational diversity promotes cooperation in prisoner's dilemma games" in Plos One. All datasets are collected from Facebook.com.
DOI: 10.6084/m9.figshare.14502789.v1
title: Gene database of Caenorhabditis elegans

description: <i>Caenorhabditis elegans</i> is a heavily research upon model organism useful for informing us of the possible genetic underpinnings of human aging as well as disease. A worm whose cellular lineage has been defined by a rich body of prior work, we could draw upon our knowledge of the phenotype of each cell in the worm to help correlate or uncover the genetic basis of observed phenotypes. This work sought to provide fundamental information about the genetic repertoire of <i>C. elegans</i> by parsing its annotated genome sequence downloaded from GenBank. Comprising gene name, gene function, and gene sequence, the database should be a useful resource for newcomers to the <i>C. elegans</i> field seeking to obtain an initial understanding of the genetic repertoire of the organism, as well as its metabolic capabilities.
DOI: 10.6084/m9.figshare.19882906.v1
title: Endosymbiont population genomics sheds light on transmission mode, partner specificity, and stability of the scaly-foot snail holobiont

description: Symbiont genomes and proteome data
DOI: 10.17632/9dz247gnyb
title: Perceptual Voice Qualities Database (PVQD)

description: This database was created through generous funding from The Voice Foundation's Advancing Scientific Voice Research Grant and contains voice samples which have been rated by experienced voice professionals (at least 3 different raters with a minimum of 2 years’ clinical experience) in order to provide educators with standardized materials to better train pre-service clinical voice professionals. It contains 296 audio files consisting of the sustained /a/ and /i/ vowels and the sentences from the Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V; Kempster, 2007). All recordings were made in a quiet clinical environment using a head-mounted condenser microphone at a 6-centimeter distance from the corner of the mouth and the Computerized Speech Lab (CSL) using 16-bit quantization and a sampling rate of 44.1k. Audio recordings have been edited as best as possible to remove all clinician instructions. However, please listen to and look at each file carefully just in case there was simultaneous clinician-client talk. 

Listeners rated approximately 50 files each and each file was rated twice for reliability measurement (for a total of approximately 100 ratings per rater). Raters used a computer to listen to the samples and rate voice quality via a web-based system that included custom-made electronic scales for the CAPE-V (Kempster, 2007) and the GRBAS (Hirano, 1981) using Qualtrics survey software. Listeners rated each file on a 100-point visual analogue scale (VAS) to mimic the paper-based CAPE-V protocol. Please note that severity markers (mild, moderate, severe) were not included on the 100-point VAS to avoid influencing the concurrent rating using the GRBAS scale. Raters were urged to rate the samples over several days to avoid fatigue. Further description of methods is located in the folders below.
Questions about the database can be directed to Patrick R. Walden, Ph.D., CCC-SLP at pwalden@monmouth.edu. Dr. Walden's affiliation is with Monmouth University in West Long Branch, NJ.

References:
Kempster G. CAPE-V: Development and Future Direction. Perspect Voice Voice Dis. 2007;17(2):11-13. doi:10.1044/vvd17.2.11

Hirano M. Clinical Examination of Voice. Springer-Verlag; 1981.
DOI: 10.6084/m9.figshare.12318950.v4
title: Initial Weight Models of Predictive Coding Deep Neural Network (Chainer & Pytorch)

description: Sample Initial Weight Model of Predictive Coding Deep Neural Network.<br>Use the model with predictive coding deep neural network,https://doi.org/10.6084/m9.figshare.5483710and with training dataset,https://doi.org/10.6084/m9.figshare.5483668<br>Sample command.$ python PredNet/main.py -i train_list.txt --initmodel init/02.model -g 0<br>$ python PredNet/main.py -i train_list.txt --initmodel init/0.model -g 0<br><br>pth file is the initial value for the pytorch version program.https://github.com/eijwat/prednet_in_pytorch<br>
DOI: 10.6084/m9.figshare.22246534.v2
title: Spreadsheet with extracted data - Critical Success Factors of Agile Transformation Initiatives from a Project Management Perspective

description: The execution of the SLM occurred between September and December 2022. The studies were selected according to the criteria established in the protocol. A spreadsheet was prepared with the extracted results
DOI: 10.6084/m9.figshare.24558388.v3
title: Response of a low-light Prochlorococcus ecotype in response to iron and light.xlsx

description: Growth rate, Fe:C, Fe uptake rate, photosystem composition, Fe-related genes expression and ROS level of a low-light <i>Prochlorococcus </i>ecotype in response to iron and light
DOI: 10.6084/m9.figshare.24657501.v1
title: Calipso PKPD Public Data.xlsx

description: Pharmacokinetic and pharmacodynamic results of the CaLIPSO Phase II Clinical Trial associated to the manuscript: Hexasodium fytate Exposure-Response Correlations in a Randomized, Placebo-Controlled Study of Patients on Dialysis with Cardiovascular Calcification
DOI: 10.6084/m9.figshare.14822838.v5
title: Zimmermann et al. 2022: Individual experience as a key to success for the cuckoo catfish brood parasitism. Nature Communications, 10.1038/s41467-022-29417-y.

description: Primary data (and R script) for the paper on cuckoo catfish learning needed to reproduce reported results. Revised version induces source data to create the figures contained in the paper.
DOI: 10.6084/m9.figshare.22770923.v1
title: Analysis of Root Causes of Anomalies in PRs

description: Two researchers identified the root causes of anomalies by analyzing comments and context in PR. Any discrepancies between them were discussed to reach a consensus.
DOI: 10.7294/25856260.v1
title: Data for Vertical Land Motion and Building Damage Risk for the Indian Megacities

description: The dataset contains the building damage risk map for the fast growing Indian megacities: New Delhi, Mumbai, Bengaluru, Chennai, and Kolkata, based on the vertical land motion map.Researchers can use ArcGIS/QGIS or any other programming languages supporting GeoTIFF format to extract the values along with the latitude and longitude.
DOI: 10.6084/m9.figshare.6295211.v1
title: Data for Experiments 1 & 2 from The high-level basis of body adaptation

description: Data for Experiment 1 (first worksheet) and Experiment 2 (second worksheet) for all conditions, in Microsoft Excel format
DOI: 10.7294/26276062.v1
title: Honey bee waggle dance data and code to analyze the spatial foraging patterns of co-localized colonies in Virginia as part of Bees-as-Bioindicators project.

description: Optimal foraging theory (OFT) predicts that animals employ foraging strategies that maximize a particular currency, such as net energetic efficiency, to meet their nutritional demands. Two non-exclusive patterns that arise from OFT are convergence on high-quality resources and resource partitioning. Honey bees make collective decisions by integrating their individual foraging with social recruitment behaviors: returning foragers communicate the approximate vector to high-quality resources using waggle dances. Because we can eavesdrop on their communications, waggle dance decoding is a valuable tool for exploring OFT predictions as it allows us to map how honey bees use landscapes. In this study, we analyzed 8049 dances from co-localized colonies across three landscapes to investigate whether neighboring colonies forage by not partitioning patches (i.e. converging their food collection on the same patches), by partitioning at the landscape level, or by partitioning at the local level. To differentiate between these three possible scenarios, we examined three metrics: (1) inter-dance distances between and within colonies; (2) k-nearest neighbors; and (3) k-means clustering. We observed no difference in the distances between dances performed by bees from the same colony compared to those from different colonies. Also, we found at each of the three field sites that dances from the same colony were not more likely to appear as close neighbors to each other. Finally, k-means cluster analysis demonstrates that dance locations advertised by the same colony aggregated non-randomly in the three sites, where dances from the same colony comprised a significant majority of dances within k-means clusters and 62% of clusters consisted entirely of dances from a single colony. Together, these results support a foraging scenario where honey bees partition their foraging, but at the local level. This strategy may help limit inter-colony foraging competition.
DOI: 10.6084/m9.figshare.13054247.v2
title: JARVIS-ML-CFID-MP

description: CFID descriptors and target properties for 83K materials in the materials project database.
DOI: 10.6084/m9.figshare.17096963.v1
title: Source data.zip

description: Source data for manuscript accepted in Nature Communications, 2021 "Nanobubbles explain the large slip observed on lubricant-infused surfaces"
DOI: 10.6084/m9.figshare.26150014.v1
title: 2024_Ribeiro_et_al_FigShare.xlsx

description: Raw dataset for all figures in associated manuscript.
DOI: 10.6084/m9.figshare.28037942.v2
title: Antenna Data

description: Antenna's simulation and measurement data
DOI: 10.6084/m9.figshare.28236605.v1
title: Dataset.zip

description: <b>Facial Expression Recognition</b><b>Introduction</b> This project aims to classify the five expressions, angry, happy, neutral, sad, and surprised available in the VIRI database, and three different expressions, fear, disgust, and happy available in the NVIE database.All the models are implemented using Pytorch <b>Process for training</b> First, we import the VIRI and NVIE database and divided them into 3 parts, train-set, val-set and test-set by using 70%, 15% and 15% split-ratio. Then we create our model architectures. For visible modalities, we modified the ResNet-18 CNN architecture. In the final layer of ResNet-18, we incorporated several dropout layers, fully connected (FC) layers, and a SoftMax layer tailored to the visible dataset. For infrared modalities, again we modified the ResNet-18 CNN architecture. In the final layer of ResNet-18, we incorporated several dropout layers, fully connected (FC) layers, activation functions, batch norm layers and a SoftMax layer tailored to the infrared dataset. For visible and infrared, we combined the features pair-wise and again modified the final layer by incorporating several dropout, fully connected layers, batch norm layers and a softmax layer.<b>Evaluation Method</b> To comprehensively evaluate the performance of our proposed facial expression recognition model, we employed several standard metrics and performed extensive experiments on two publicly accessible datasets: VIRI and NVIE. <b>Datasets</b> VIRI Database: Contains 566 image pairings of five distinct facial expressions (angry, happy, neutral, sad, surprised) captured in visible and infrared modalities. NVIE Database: Contains visible and infrared images from over 100 subjects, capturing six fundamental facial expressions (happy, sad, surprised, fear, rage, disgust). <b>Experimental Setup</b> Data Splitting: Each dataset was divided into training (70%), validation (15%), and test (15%) sets. Data augmentation techniques such as rotations, zooming, distortion, shear, and flipping were applied to the training sets to increase the diversity of the training examples and mitigate overfitting. Training: The ResNet-18 model, modified with an attention mechanism, was trained separately on visible and infrared images, as well as on a combined dataset using an early fusion approach. We utilized the Adam optimizer with a CosineAnnealingLR scheduler, and set the batch size to 64. The loss function used for training was cross-entropy. <b>Evaluation Metrics</b> The following metrics were used to evaluate the performance of the models: Accuracy: The ratio of correctly predicted samples to the total number of samples. Precision: The ratio of true positive predictions to the total predicted positives. Recall: The ratio of true positive predictions to the total actual positives. F1-Score: The harmonic mean of precision and recall.
DOI: 10.6084/m9.figshare.28746566.v1
title: Data repository for NCM2025

description: Alternating current (AC) arc melting technology has been developed for the manufacturing of lightweight materials and provides a potential heat source in welding and additive manufacturing. However, metal flow and the corresponding effects of AC arc melting remain unclear. Here, 3D internal and surface flows in an aluminium alloy during AC tungsten arc melting are studied via in situ/operando 4D X-ray radiography and laser high-speed imaging. The molten flow velocity under positive polarity is much greater than that under negative polarity. We find that liquid metal flow is mainly influenced by the cathode spot motion at the molten pool surface in the electrode positive stage. This information can be used to guide process optimization in the manufacturing of light metals via AC arc melting.
DOI: 10.17632/wzy83bscxd
title: ZEFR: A GPU-accelerated high-order solver for compressible viscous flows using the flux reconstruction method

description: In this work we present ZEFR, a GPU accelerated flow solver based around the high-order accurate flux reconstruction (FR) approach. Written in a combination of C++ and CUDA, ZEFR is designed to perform scale resolving simulations within the vicinity of complex geometrical configurations. A unique feature of ZEFR is its support for overset grids; a feature which greatly expands the addressable problem space compared with existing high-order codes. The C++ implementation of FR in a manner which is suitable for modern hardware platforms is described in detail. Additionally, an overview of the input deck used by ZEFR is included. Validation results are presented for a range of steady and unsteady flow problems including Couette flow, the Taylor–Green vortex, and flow around an SD7003 aerofoil. Single node performance on a NVIDIA V100 GPU is analysed where it is shown that all of the kernels in ZEFR attain a high proportion of peak memory bandwidth. Moreover, multi-node performance is also assessed with strong scalability being demonstrated from 60 to 3840 NVIDIA V100 GPUs.
DOI: 10.6084/m9.figshare.14128469.v1
title: SQoL-18 Database.xlsx

description: Quality of life questionnaire
DOI: 10.6084/m9.figshare.24557026.v1
title: Earthquake catalog of volcanic earthquake beneath the Kirishima volcano, southwest Japan

description: Hypocenters of earthquakes are estimated by the double difference method (Waldhauser and Ellsworth, 2000). The file format is the same as that of the output file by hypoDD code that is described in the hypoDD user's manual (https://www.ldeo.columbia.edu/~felixw/papers/Waldhauser_OFR2001.pdf). The origin time is defined by using JST = UT +8h.
DOI: 10.17632/bwtnzysk9v
title: Data from: Clinging on the brink: Whole genomes reveal human-induced population declines and severe inbreeding in the Critically Endangered Emirati Leaf-toed Gecko (Asaccus caudivolvulus)

description: Annotation data for the reference genome assembly of the Emirai Leaf-toed Gecko (Asaccus caudivolvulus, specimen code S7866). The genome assembly and the raw data including long read Oxford Nanopore sequencing (sequenced through Org.One project), short read Illumina sequencing and OmniC data can be accessed in NCBI under bioproject code PRJNA1043593. The data provided herein is associated to Biosample SAMN39327732.
DOI: 10.6084/m9.figshare.11346833.v2
title: Arabidopsis_2029_Maf001_Filter80

description: Arabidopsis_2029_Maf001_Filter80
DOI: 10.6084/m9.figshare.29104766.v1
title: LE REGIME JURIDIQUE DES INVESTISSEMENTS ETRANGERS EN ALGERIE .pdf

description: La thèse analyse l’évolution du cadre juridique algérien relatif aux investissements étrangers, en mettant en lumière les tensions entre l’ouverture économique du pays et la nécessité de préserver sa souveraineté et ses intérêts publics fondamentaux.
DOI: 10.6084/m9.figshare.9730175.v1
title: 29 cases with recommendations relating to MHRA

description: 29 cases from US FDA MAUDE database involving event type death, cardiotocography, and recommendations from manufacturers regarding maternal heart rate artefact.
DOI: 10.17632/kp3g7dkzwf
title: Data for: Identification of bacterial isolates from a public hospital in Australia using complexity-reduced genotyping

description: These compressed directories contain fastA files of complexity-reduced genotyping by sequencing data of bacterial isolates from a public hospital in Australia. Sequencing data of a total of 165 bacterial isolates are included in these data sets of the following species: Enterococcus faecium, Staphylococcus aureus, Enterobacter cloacae complex, Citrobacter freundii, Klebsiella pneumoniae, Klebsiella oxytoca, Enterobacter asburiae, Escherichia coli, Morganella morganii, Citrobacter amalonaticus, Enterobacter aerogenes, Enterococcus faecalis, Hafnia alvei, Providencia rettgeri and Serratia marcescens. Additionally, this dataset includes sequencing results of genomic DNA of E. coli O157 (EDL 933) IRMM449 Sigma-Aldrich certified reference. All bacterial isolates were processed with the following combination of restriction enzymes: PstI with MseI, PstI with HpaII and MseI with HpaII. Some samples contain technical replicates and the certified reference contains six technical replicates. Each directory contains a Microsoft Excel Comma Separated Values File with bacterial isolate information, including an internal unique identity number (TargetID), the sample name (Genotype), material used for DNA extraction (Tissue), complexity-reduced genotyping method (Comment), and other details produced after sequencing (e.g. extract plate barcode, extract well, flowcell ID, flowcell lane). For a detailed description of how this data was obtained, please refer to the article "Identification of bacterial isolates from a public hospital in Australia using complexity-reduced genotyping (2019) Berenice Talamantes-Becerra, Jason Carling, Karina Kennedy, Michelle E. Gahan, Arthur Georges. Journal of Microbiological Methods, Volume 160, May 2019, Pages 11-19. https://doi.org/10.1016/j.mimet.2019.03.016