cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mhx64cfxsf
title: Mule_Fundus_Image

description: Fundus images are captured by handheld fundus camera. Currently, only part of fundus image are annotated with forvea location. Compared to desktop fundus camera, handheld camera suffers more unstable capturing and uncontrolled envrionments. We are now focusing on the enhancement algorithm for this kind of low-quality fundus image. 
The Mule dataset is a fundus image dataset with reflection of retinal nerve fiber layer (RNFL). It is composed of 538 color fundus images captured using a handheld fundus camera (Mocular CFC-X camera with field of view equals to 45 degrees). Each image is preprocessed into 486*486 pixels and data desensitization is performed. The Mule dataset is a subset of a large-scale database that was collected from a fundus screening program at the Community Hospitals in the Lin'an District of Hangzhou, China. Patient information such as the age, gender, and ethnicity are not provided
DOI: 10.6084/m9.figshare.20540088.v1
title: CVVHDF at Akron Children’s Burn Center

description: Data set of 15 adult patients at Akron Children's burn center managed with normal flow versus high-volume dialysis for sepsis secondary to severe burns.
DOI: 10.6084/m9.figshare.6534089.v2
title: Efficient Sampling for Gaussian Linear Regression With Arbitrary Priors

description: This article develops a slice sampler for Bayesian linear regression models with arbitrary priors. The new sampler has two advantages over current approaches. One, it is faster than many custom implementations that rely on auxiliary latent variables, if the number of regressors is large. Two, it can be used with any prior with a density function that can be evaluated up to a normalizing constant, making it ideal for investigating the properties of new shrinkage priors without having to develop custom sampling algorithms. The new sampler takes advantage of the special structure of the linear regression likelihood, allowing it to produce better effective sample size per second than common alternative approaches.
DOI: 10.17632/szrn2b9zvd
title: A Neuromarketing Study: the Impact of Colors in Advertising

description: This study delves into the world of Neuromarketing, focusing on the impact of colors in advertising. The central objective is to determine if there is a significant correlation between color selection in design and typography of the ads and the resulting brain responses. The project seeks to understand whether particular color combinations can trigger different neural responses, ultimately influencing whether an ad captures a viewer's attention. The rationale for this study arises from a significant problem in today's advertising landscape. The 99% of Generation Z, people whose birth year is between 1995 and 2000, frequently avoids advertisements, primarily due to information overload and advertising saturation. This phenomenon not only increases costs for businesses but also generates annoyance among consumers. Therefore, this research is primarily motivated by the urgent need to gain a deeper understanding of the specific attributes of advertising that truly connect with people, with a predominant emphasis on color choice. The experimental methodology begins by recruiting participants from Generation Z (9 males, 7 females), chosen based on their preferences and characteristics that represent the target audience. Popular themes are selected to create a set of both attention-grabbing and unremarkable advertisements. During the experiment, Electroencephalography (EEG) technology is employed to continuously record and measure brain activity. The experiment unfolds as follows: Each participant is individually briefed on the experiment's procedures and outfitted with the necessary EEG equipment. An initial baseline state is established to represent the participant's resting cognitive activity. The 100 advertisements are then presented in a randomized order. After each advertisement, participants are promptly asked to express whether they found the ad appealing or not. Subsequently, another baseline state is recorded before presenting the next stimulus. This cycle is repeated one hundred times, providing a substantial dataset for analysis. Amid this experimental process, a critical hypothesis is postulated. It asserts that the use of colors in advertisements significantly affects neural responses, suggesting that captivating advertisements generate higher responses compared to unremarkable ones. This hypothesis is fundamental in guiding the study and shaping the research questions. In conclusion, this research project strives to highlight the vital role that colors play in advertising. By offering insights into the creation of more effective advertisements, it seeks to reduce advertising saturation, ultimately fostering more satisfying relationships between brands and consumers.
DOI: 10.6084/m9.figshare.12624146.v1
title: Reddit graph dataset in sparse matrix format

description: The Reddit graph dataset in sparse matrix (.npz) format. Originally published in Will Hamilton, Zhitao Ying, and Jure Leskovec. Inductive Representation Learning on Large Graphs. NeurIPS 2017.
DOI: 10.6084/m9.figshare.5432722.v4
title: Calculating the Malliavin Derivative of some numerical models using the Malliavin Weight Sampling method

description: The Malliavin calculus suggests a methodology, called the Malliavin Weight Sampling method, for computing the derivative of an expected quantity of a stochastic system with respect to the parameters of its underlying stochastic variable. This repository shows how to apply this method to some problems found in classical mechanics, including problems solved using numerical methods like finite elements (FEniCS) and finite differences.<br>This code was used to generate the results in the paper:<br>Calculating the Malliavin derivative of some stochastic mechanics problems, Hauseux P, Hale JS, Bordas SPA (2017) PLOS ONE 12(12): e0189994 https://doi.org/10.1371/journal.pone.0189994<br><br>This repository is for archive purposes. Please see the bitbucket repository below for the latest version.
DOI: 10.17632/bdzjtff5bh
title: Dataset for Measuring Adversity Quotient, Digital Competence, Attitude Computer Technology and Self-Efficacy

description: The data was carried out among teachers in Indonesia, assessing gender, age, grade level of teaching, adversity quotient, digital competence, attitude computer technology, and self-efficacy. 901 respondents from 28 provinces through online survei via Google Form.
DOI: 10.6084/m9.figshare.27755760.v1
title: Chromosome-level genome assembly of the intertidal lucinid clam Indoaustriella scarlatoi

description: Genome assemblies and annotations of<i> </i><i>Indoaustriella</i> <i>scarlatoi</i>
DOI: 10.6084/m9.figshare.28235576.v1
title: lung cancer data.xlsx

description: Abstract Objective: To identify the socioepidemiologic and histopathologic patterns of lung cancer patients in the Middle Euphrates region. Patients and Methods: This study analyzed medical information from lung cancer patients at the Middle Euphrates Cancer Center in Iraq from January 2018 to December 2023. Demographic information (age, gender, residency, and education level) as well as clinical details (histopathological categorization) were obtained. The inclusion criteria included all confirmed lung cancer cases, while cases with inadequate data or non-lung cancer diagnosis were omitted. The data were analyzed using IBM SPSS Statistics (version 26). The data summarized using descriptive statistics, and chi-square tests used to identify correlations between categorical variables at a significance level of p &lt; 0.05. Ethical approval was obtained from the relevant institutional review board. Results: A total of 1162 patients were included with mean age at diagnosis(64.47±11.45) years. Majority of patients are over 60 years (64.4%), followed by (40–60 years), 34%, and the least affected group is under 40 years (1.6%). Males account for the majority of cases (68%), while females about 32%, with male:female ratio that fluctuate around 2:1. Illiterate patients and those with low education levels represent the largest proportion accounting for about 87.9% of the study population. Squamous Cell Carcinoma (SCC) is the most frequent subtype (41.7%), followed closely by Adenocarcinoma (AC) at 37%, and Small Cell Lung Cancer (SCLC), 10.5%. Although SCC is the predominant subtype overall, AC incidence is increasing overtime (from 31.7% in 2018 to 41.4% in 2023) with predominance in females, younger and higher educated groups. While the percentage of SCLC and other less common subgroups remained relatively stable over time, there is a significant reduction in NSCLC-NOS diagnoses (from 11.1% in 2018 to 3.2% in 2023). Conclusions: In Iraq, specifically in the Middle Euphrates region, lung cancer is a major public health issue in the elder age groups. The two main subtypes, SCC and AC, are the main contributors, with obvious increment in AC cases in the recent years. The shifting trends indicate the urgent need for improved screening strategies, focused preventative initiatives, and customized treatment plans in view of changing risk profiles.
DOI: 10.17632/cjwbjttf88
title: Data on prediction of geological characteristics during shield tunnelling in mixed soil and rock ground

description: This data presented in this article pertain to measured data obtained from earth pressure balance (EPB) shield tunelling of Guangzhou-Foshan intercity railway project.
DOI: 10.17632/hsn6g3dbsk
title: Investigating Sentences Features for Subjectivity and Polarity Classification in Brazilian Portuguese

description: O dataset consiste de uma coleta que que os autores fizeram de 350 comentários de usuários sobre restaurantes no Brasil no site TripAdvisor[1], no período de janeiro a março de 2020. Os comentários foram divididos em 1.049 sentenças e cada sentença foi manualmente anotada pelos autores. Inicialmente, as sentenças foram classificadas em objetivas e subjetivas. Foi possível observar que existe um equilíbrio no número de sentenças em cada uma dessas classes. Em seguida, as sentenças subjetivas foram manualmente classificadas em positivas e negativas. As sentenças que eram subjetivas, mas com polaridade neutra, foram desconsideradas. Na prática, foi possível observar que existem poucas sentenças que são subjetivas e neutras. Também foi possível observar que há uma quantidade bastante superior de sentenças positivas do que sentenças negativas no dataset. [1] https://www.tripadvisor.com.br
DOI: 10.6084/m9.figshare.24073080.v1
title: Quasi-natural experiment set up in green finance reform and innovation pilot zone

description: The research sample is China's A-share listed enterprises from 2014 to 2020. According to the "Listed Companies Environmental Protection Verification Industry Classification Management List" issued by the Ministry of Environmental Protection in 2008, combined with the industry classification standard of the China Securities Regulatory Commission in 2012, 16 industrial enterprises belonging to coal, mining, textile and other industries are classified as heavy polluters. The heavy polluting enterprises in the five provinces of Zhejiang, Jiangxi, Guangdong, Guizhou and Xinjiang were set as the experimental group, and the heavy polluting enterprises in other provinces were set as the control group. In addition, this paper excluded ST, PT and other enterprise samples, financial industry samples and samples with missing data, and finally obtained 308 enterprises with 2156 observed values. The experimental group consisted of 78 heavily polluting enterprises with 546 observed values. All samples were indentified by 1% up and down to eliminate outliers. The main data in this paper comes from the National Tai 'an Database (CSMAR), corporate social responsibility reports, corporate annual reports, etc.
DOI: 10.6084/m9.figshare.5829687.v7
title: Single-cell RNA-seq data from Smart-seq2 sequencing of FACS sorted cells (v2)

description: Gene-count tables for FACS sorted cells sequenced with Smart-Seq2 from 20 organs of 7 mice. Cells are grouped by tissue of origin.<br><br>Includes data for 53,760 cells, 44,879 of which passed a QC cutoff of at least 500 genes and 50,000 reads.<br>Cell annotations using the Cell Ontology [1] controlled vocabulary are in a separate csv.<br>This differs from v1 by renaming "Brain_Neurons" --&gt; "Brain_Non-microglia" to be consistent with the manuscript.<br><br>Update 2018-02-16: Separated Diaphragm cells from Muscle cells, and Aorta cells from Heart cells.<br>Update 2018-02-20: Aorta and Heart erroneously contained Diaphragm and Muscle data, and have now been corrected.<br>Update 2018-03-09: Renamed tissues for nomenclature standards: "Colon" --&gt; "Large_Intestine" "Muscle" --&gt; "Limb_Muscle" "Mammary" --&gt; "Mammary_Gland" "Brain_Microglia" --&gt; "Brain_Myeloid" "Brain_Non-microglia" --&gt; "Brain_Non-Myeloid"Update 2018-03-22: Renamed subtissues:<br>- tissue: Heart, subtissue: ? --&gt; tissue: Heart, subtissue: Unknown- tissue: Skin, subtissue: NA --&gt; tissue: Skin, subtissue: Telogen<br>Update 2018-03-23: Removed row numbers in first column of metadata_FACS.csv<br>Update 2018-03-27: Added tissue tSNEs and cluster ids<br><br>[1] http://purl.obolibrary.org/obo/cl.owl<br>
DOI: 10.6084/m9.figshare.22579942.v1
title: Supplemented table.xlsx

description: <strong>Supplemented table S1-S3.xlsx</strong>
DOI: 10.6084/m9.figshare.5841267.v6
title: Nevsky prospect traffic surveillance video(movement by the opposite lane cases hours)

description: This is an extraction from the larger dataset. It consist of hours when MBOL(movement by the opposite lane) cases were observed.<br><br>Video compilation of the cases is in file "oncoming.avi".<br><br>Video compilation for other the dataset(Author: Ivan Derevitskii, License: CC-BY-4.0, Title: "St Petersburg traffic videos") is in the file "oncoming_other_dataset.mp4".https://figshare.com/articles/St_Petersburg_traffic_videos/5439706<br>The data set contains traffic surveillance video in the area of Nevsky prospect(central street of Saint Petersburg) between the Moika river and the street Bolshaya Konuyshennaya. The covered area contains two-way road with dense vehicle movement. The length of the selected area is 102 meters, width is 17.5 meters. The resolution of each video is 960x720 pixels. The data set was colected in November, December in 2017 and January 2018.<br>
DOI: 10.6084/m9.figshare.28157402.v1
title: 序列 Data.zip

description: 在本研究中，我们采用 HT22 细胞系作为实验模型来研究氧化应激对其基因表达谱的影响。源自小鼠海马神经元的 HT22 细胞系经常用于神经生物学研究，特别是有关神经退行性疾病和氧化应激机制的研究。采用特定方法诱导氧化应激，我们成功地在 HT22 细胞中建立了氧化应激模型。建立该模型后，我们采用高通量测序技术对氧化应激条件下的 HT22 细胞转录组进行了全面分析。本研究的目的有两个：首先，鉴定与氧化应激反应相关的差异表达基因，其次，进一步分析这些基因的功能富集。进行该分析的目的是揭示氧化应激对神经元细胞基因表达的调控机制。
DOI: 10.6084/m9.figshare.22339522.v1
title: Co-assembled metagenomic reads from the hindgut samples from the millipede species, Glomeris connexa

description: Three quality-filtered reads from the hindgut samples of <em>Glomeris connexa</em> were called into anvi’o v7 metagenomic workflow, co-assembled (<em>de novo</em>) with MEGAHITvv1.2.9, and contigs &lt;1 kbp were removed.
DOI: 10.6084/m9.figshare.28874267.v2
title: Questionnare and data sheet

description: Ergonomic Design and Evaluation of Cloth-Pulling Devices for Praewa Silk Weavers
DOI: 10.6084/m9.figshare.29135492.v1
title: Ground_truth_optitrack.zip

description: Optitrack ground truth of the facilities at the University of Ljubljana, Faculty of Electrical Engineering
DOI: 10.17632/r43wkvdk4w
title: BanglaWriting: A multi-purpose offline Bangla handwriting dataset

description: The BanglaWriting dataset contains single-page handwritings of 260 individuals of different personalities and ages. Each page includes bounding-boxes that bounds each word, along with the unicode representation of the writing. This dataset contains 21,234 words and 32,787 characters in total. Moreover, this dataset includes 5,470 unique words of Bangla vocabulary. Apart from the usual words, the dataset comprises 261 comprehensible overwriting and 450 incomprehensible overwriting. All of the bounding boxes and word labels are manually-generated. The dataset can be used for complex optical character/word recognition, writer identification, and handwritten word segmentation. Furthermore, this dataset is suitable for extracting age-based and gender-based variation of handwriting.
DOI: 10.6084/m9.figshare.21761057.v1
title: Dataset

description: Data
DOI: 10.6084/m9.figshare.9101993.v1
title: Data from: The past, present and future of cleaner fish cognitive performance as a function of CO2 levels

description: Data and code from: The past, present and future of cleaner fish cognitive performance as a function of CO2 levels
DOI: 10.15468/dl.j8uhgw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagamichthys schnakenbecki (Krefft, 1953)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((7.2551 0.4095,6.9596 0.8334,6.5492 0.9061,6.0738 0.5779,5.9713 0.201,6.1078 -0.2929,6.5348 -0.5139,7.0629 -0.1853,7.2551 0.4095))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013107-250525065834625/datasets/export for details.
DOI: 10.25452/figshare.plus.19653321.v2
title: Video footage of fish and water quality variables in a fish farming scenario

description: This dataset contains measurements of water quality parameters along with behavior-related variables obtained from fish recognition and localization using machine learning techniques on video footage. The water quality data were collected using a Hanna HI98194 multiparameter probe, while the video footage was taken with a webcam connected to a Raspberry Pi 4. A total of 247 uniformly distributed frames from the video footage were manually annotated to train a YOLOv4 model for fish recognition and tracking. Using the trained model, the complete video footage was processed and the time series of fish pairwise distance and average traveled distance were calculated from the recognition model. This dataset can potentially be used to study fish behavior-related and water quality variables and their relationship in fish farming scenarios. Dataset files: <strong>training_data.zip: </strong>247 uniformly distributed frames from the entirety of the video footage were annotated for model training and can be found here in various formats including YOLO. <strong>waterquality_data.zip: </strong>includes 55 hours and 28 minutes of data from physico-chemical variables collected from a water tank with a Hanna HI98194 probe. The collected parameters were temperature, dissolved oxygen, electrical conductivity, resistivity, total dissolved solids and pH. <strong>behavioral_data.zip:</strong> contains the processed variables obtained from the video footage using the trained machine learning model. <strong>weights.zip: t</strong>he weights used for the YOLOv4 model can be found here. <strong>video_xx.zip: </strong>contains 51 hours and 40 minutes of one-minute recordings of the fish tank. Split into 26 two hour sections for download. Useful to extract behavior-related variables. <br> Version history: v1: Initial release. v2: Changed the format for waterquality_data and behavioral_data to fix an error where the timestamp seconds were lost and replaced with 0 when saving and reopening the files.
DOI: 10.6084/m9.figshare.25221935.v1
title: 3SAT single-pair G-QAOA results

description: Here are the G-QAOA results for 3-SAT. The results are shown in the manuscript.The instance file is shown in order of <b>m</b><b>eaningless number/problem size/solution ratio/3SAT instance</b>.The results are shown in order of <b>meaningless number/problem size/solution ratio/final normalized energy/G-QAOA rounds/final solution ratio</b> (&gt;50%).The angle file are shown in order of <b>meaningless number/gamma/beta</b>.Experimental results from IonQ Aria are also attached.(for more information, contact zewen.zhang@rice.edu)
DOI: 10.6084/m9.figshare.28359212.v3
title: Trajetories, parameters and global analysis data with clustering results for computational evaluation of the binding of activated ribonucleotides in nonenzymatic RNA template copying

description: Nonenzymatic self-replication is considered as one of the most primordial functions of RNA, which likely preceded the emergence of more complex ribozymes. Among different possible scenarios, nucleotide activation with imidazole derivatives attracted substantial attention over the last years. However, despite the progress in proposing plausible variants of nonenzymatic RNA template copying with phosphoroimidazolides, mechanistic aspects of this process still remain obscure. Furthermore, efficient RNA self-replication involving activated uridine and adenosine still remains a challenge. Here, we employed classical molecular dynamics simulations to evaluate the binding specificity of different imidazolium-bridged dinucleotide intermediates, which was suggested to control the yield and fidelity of the reaction. In particular, RMSD-based clustering of the MD trajectories revealed previously unknown structural arrangements of activated dinucleotide intermediates that may play a critical role in non-enzymatic primer extension. Most importantly, our results indicate that yield and fidelity of nonenzymatic RNA template copying cannot be simply associated with the number of Watson-Crick hydrogen bonds between the activated dinucleotides and the templating strand. Instead, efficiency of the reaction correlates with the preference for the formation of canonically stacked form of the activated dinucleotide intermediate, which can then selectively bind to the template and participate in the primer extension reaction.
DOI: 10.6084/m9.figshare.29145743.v1
title: Reverse time migration for Passive Sources Imaging Using Combinational Autocorrelation Imaging Condition

description: We propose an imaging condition based on autocorrelation for reverse-time migration in passive source imaging. The proposed method has the characteristic of minimum memory occupation and can achieve comparable imaging quality to the cross-correlation imaging condition.
DOI: 10.6084/m9.figshare.3405808.v1
title: River Discharge Calculator

description: River Discharge Calculator is a user friendly program that implements a numerical method to improve the efficiency of river discharge measurement, proposed in the accompanying preprint submitted to the Journal of Hydrological Engineering (ASCE), May 2016. In this work we propose a simple computational scheme with the pragmatic purpose of augmenting the efficiency of river discharge measurements. Observing the functional form of the velocity profile versus depth, applying polynomial regression for each vertical, and finally interpolating between the verticals, we arrive at a continuous approximation for the velocity across the entire vertical section, which turns out to be rather robust to removal of individual measurement points. In particular, numerical data analysis shows that the number of measurements can be significantly reduced without a significant loss of precision of the discharge estimate. This procedure has been tested on the data obtained experimentally on Exu, Capibaribe and Ipojuca rivers, in the state of Pernambuco, northeast of Brazil, with different stream flow patterns demonstrating multiple local velocity maxima on and below the surface.
DOI: 10.6084/m9.figshare.5686975.v2
title: Raw nerve plexus images

description: Raw subbasal nerve plexus images obtained by laser-scanning in vivo confocal microscopy of the cornea in healthy subjects and type 2 diabetes mellitus subjects of the same age. The data represent 2D depiction of the subbasal nerve plexus at a single depth plane. Images are arranged by patient number and by Eye (OS - left, OD - right).