cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3471839.v11
title: Serial Speakers: a Dataset of TV Series

description: <b>Dataset of three TV Series</b> with <b>manual</b> annotations.<br>Cite as:@inproceedings{Bost2020,<br> title = {Serial Speakers: a Dataset of TV Series},<br> author = {Bost, Xavier and Labatut, Vincent and Linares, Georges},<br> url = {https://hal.archives-ouvertes.fr/hal-02477736},<br> booktitle = {12th International Conference on Language Resources and Evaluation (LREC 2020)},<br> address = {Marseille, France},<br> year = {2020}} <pre><br>The dataset consists of 3 TV series: <br></pre><br>- <i>Breaking Bad</i>: S01--S05 (file 'bb.json')<br>- <i>Game of Thrones</i>: S01--08 (file 'got.json')<br>- <i>House of Cards</i>: S01--S02 (file 'hoc.json')<br><br>All three files are in .json format and contain TV Series annotated data.<br><br>Each TV Series is defined by its <b>name</b>,<br><br>A TV Series contains <b>seasons</b>, defined by their <b>id</b>s.<br><br>Every season is made of <b>episodes</b>, defined by their <b><b>id</b></b>s,<b> title</b>s, <b>duration </b>and<b> fps </b>.<br><br>Each episode contains two basic kinds of <b>data</b>: <b>scenes</b> and <b>speech segments</b>.<br><br>Scenes are defined by <b>start</b>ing points and are made of <b>shots </b>(Seasons 1 only)<b>.<br><br></b>A shot is defined by<b>:<br><br></b>- <b>Start</b>ing and <b>end</b>ing positions.-<b> </b>Recurring shot <b>id</b>s.<br>The speech segments are defined by their:<br>- <b>Start</b>ing and <b>end</b>ing points.<br>- <b>Text</b>ual content (here encrypted for copyright reasons).<br>- <b>Speaker</b>.<br>- Possible<b> interlocutors</b> (for the following episodes only: <b>bb</b>: S01E04, S01E06, S02E03, S02E04; <b>got</b>: S01E03, S01E07, S01E08; <b>hoc</b>: S01E01, S01E07, S01E11).<br><br>All timestamps are expressed in seconds and are valid for the video files extracted from the commercial DVDs (PAL 25 FPS), with recaps (unannotated) included at the beginning of the <i>House of Cards</i> episodes.<br>In you are interested in the textual content of the dataset, please consider using our text recovering tool on GitHub:<br>https://github.com/bostxavier/Serial-Speakers<br>A comprehensive description of the dataset can be found at:<br>https://hal.archives-ouvertes.fr/hal-02477736<br><b> </b><br>
DOI: 10.6084/m9.figshare.5675287.v1
title: Allen Human Brain Atlas H0351.1015

description: The dataset is a zip archive. It contains normalised gene expression values in brain regions available from Allen Brain Atlas http://human.brain-map.org.This archive contains normalized microarray expression values as well as probe and sample metadata necessary for analysis, altogether there are four files.<br>The details about normalization procedure are provided in the technical white paper http://help.brain-map.org/display/humanbrain/Documentation
DOI: 10.6084/m9.figshare.7586090.v1
title: Matlab code to collect x,y animal coordinates from behavioral video

description: This simple custom computer code written in Matlab 2017a reads a behavioral video file, and at one second intervals pauses and allows the user to register x,y coordinates of the animal by clicking one the center of animal.The x,y coordinates of corners of the test apparatus are obtained in order to estimate the pixel to cm ratio of estimation of distance ambulated (DistAmb) and percent of time spent ambulating (TiempoAmb). Code finalizes saving the obtained data.<br>
DOI: 10.17632/g2jmwn737m
title: Methods used to quantify nursing workload in intensive care units: A review of the literature

description: Introduction: Nursing workload in intensive care units (ICUs) is related to efficiency and quality of care; however, there are no methods to quantify nurses needed per shift in ICUs. Objective: To identify the most used tools to measure ICU nursing workload. Methods: An integrative literature review was performed using original articles in English, Spanish or Portuguese, published between 1991 and 2017 in the databases ScienceDirect, BVS, Scopus, and Embase. The search strategy was “nursing and workload and intensive critical or ICU and measure.” Duplicate articles or articles about intermediate care units (IMCU) were excluded. The quality of the articles was assessed using the Strobe checklist. Results: Thirty-six articles with a total of 19,036 patients were included; 50% (n=18) used NAS, 27.7% (n=10) used a combination of methods such as NAS, NEMS, TISS-28 or VACTE; 13.8% (n=5) used TISS-28, 5.6% (n=2) used video camera recording, and 2.7% (n=1) used NEMS to quantify the time spent by nurses in care. Discussion: There is currently no consensus on workload measurement methods in nursing. In this sense, more validation and comparison studies are needed to improve nursing care management in the ICUs. Conclusion: The most used tool to quantify workload in nursing is the Nursing Activities Score (NAS). Other tools identified were NEMS, TISS-28, and VACTE.
DOI: 10.17632/rnxwhynjhd
title: Data and codes for News, sovereign debt maturity, and default risk

description: Leading into a debt crisis, interest rate spreads on sovereign debt rise before the economy experiences a decline in productivity, suggesting that news about future economic developments may play an important role in these episodes. An empirical VAR estimation shows that a news shock has a larger contemporaneous impact on sovereign credit spreads than a comparable shock to labor productivity. A quantitative model of news and sovereign debt default with endogenous maturity choice generates impulse responses and a variance decomposition similar to the empirical VAR estimates. The dynamics of the economy after a bad news shock share some features of a productivity shock and some features of sudden stop events. However, unlike during sudden stop episodes, long-term debt does not shield the country from bad news shocks, and it may even exacerbate default risk. Finally, an increase in the precision of news allows the government to improve its debt maturity management, especially during periods of high stress in credit markets, and thus face lower yield spreads while increasing the amount of debt.
DOI: 10.6084/m9.figshare.12408233.v2
title: DICE microCT and MRI data for Mandibular musculature constrains brain-endocast disparity in sarcopterygians

description: The scan of the adult <i>Neoceratodus</i> specimen was obtained using the 3T GE Signa Exite HDx human MRI scanner (Signa Excite 750; GE Healthcare; Milwaukee, WI), equipped with an 8-Channel Cardiac Coil, as part of the Digital Fish Library project Berquist et al. (2012). The pulse sequence parameters used were: flip angle of 35 degrees, 12.4 ms repetition time, 3.9 ms echo time, and three averages. Images were collected with slice thickness of 0.7 mm and resulting image resolution of 703 microns. Data were converted to DICOM format for image processing and visualisation. The Magnetic Resonance Imaging (MRI) scan of the adult <i>Neoceratodus</i> specimen was obtained from the Digital Fish Library catalogue, University of California San Diego (http://www.digitalfishlibrary.org). Image segmentation of the brain and braincase was performed using MIMICS v.17 (Materialise MedicalCo Belgium). <br> <i>Protopterus aethiopicus and Protopterus dolloi.</i> Specimens <br> were stained in IKI using the method of Metscher (2009) for three months. Micro-CT (uCT) scans were obtained using a Feinfocus 10-160kV transmission X-ray source and a Perkin Elmer XRD0822 1 MP flat panel X-ray camera. The peak energy used was 120kV, and 2 second exposures were corrected with offset and gain images. The resulting exposures were reconstructed as a tif stack using OctopusV9 resulting in a voxel size of 87.3 and 86.9 microns for <i>P. aethiopicus </i>and <i>P. dolloi</i> respectively. <br> <br> <i>Salamanders. </i>DiceCT contrast staining was completed using a Lugol's Iodine (I2KI) solution. 11.75% Lugol's Iodine was prepared following the protocol of Gignac & Kley (2014) . <i>Ambystoma</i> was stained for 5 days prior to uCT scanning, whereas <i>Cynops</i> was scanned after only 72 hours. Both specimens were imaged using a Skyscan1173 (Bruker) desktop uCT scanner and were reconstructed as a stack of jpegs using NRecon 1.6.6. In both cases, the files were cropped in ImageJ (to reduce file size and sampled images from the stack at an interval of 2 in the Z-plane. The resultant voxel size for <i>Ambystoma</i> is 16.69 x 16.69 x 33.38 microns, and <i>Cynops</i> is 15.868 x 15.868 x 31.727 microns.<br>
DOI: 10.6084/m9.figshare.12765359.v1
title: Supplemental data thyroid and lipids

description: supplemental data
DOI: 10.6084/m9.figshare.18094172.v2
title: Widespread HGT in insects: a foreign gene enhances male courtship in lepidopterans

description: This repository contains sequences of 1,410 HGT-acquired genes, 1,410 gene trees, the ML phylogeny of 218 insects, and a concatenation data matrix. <br> Each folder corresponds to each topic in our study. <br> Please let me know if you have any questions about them. <br> email: xingxingshen@zju.edu.cn <br>
DOI: 10.6084/m9.figshare.26940919.v1
title: <b>使用 Mamba 增强型 HRNet 增强桥梁损伤检测以进行语义分割</b>

description: 在多样性、复杂性和多视角方面创建一个具有挑战性的数据集。该数据集集成了日本土木工程师学会桥梁损伤数据集[1]、波鸿裂缝数据集[2]、CRACK500数据集[3， 4]。为了进行系统的训练和评估，整个数据集分别以 8：1：1 的比例分为训练集、验证集和测试集。[1] Tonan FUJISHIMA， et al. 使用背景图像额外学习桥接多重损伤分割和 3D 损伤模型生成。人工智能与数据科学 2023;4（3）：705–714。[2] Çelik F， König M.一个 sigmoid 优化的编码器-解码器网络，用于通过复制-编辑-粘贴迁移学习进行裂纹分割。计算机辅助土木与基础设施工程 2022;37（14）：1875–1890 年。[3] Zhang L， Yang F， et al. 使用深度卷积神经网络进行道路裂缝检测.在：2016 年 IEEE 图像处理国际会议 （ICIP） IEEE;2016. 第 3708-3712 页–。[4] Yang F， Zhang L， et al. 用于路面裂缝检测的特征金字塔和分层提升网络.IEEE Transactions on Intelligent Transportation Systems 2019;21（4）：1525–1535。
DOI: 10.6084/m9.figshare.28147958.v1
title: Sanger VCF file and index for mouse X-chromosome

description: This is the file used to find variants on the x-chromosome for the different mouse founder strains in the CC mouse model. Both the base file as well as index file are provided. These were downloaded from the Sanger Institute website:ftp-mouse.sanger.ac.uk<br>
DOI: 10.6084/m9.figshare.7275923.v1
title: Chaetoceros LSU and SSU reference sequences and metadata table

description: Fasta files of 18S rDNA and partial 28S rDNA sequences of strains belonging to species in the planktonic diatom genera <i>Chaetoceros</i> and <i>Bacteriastrum</i>. A table (S1 Table) with source information of the strains is provided, including strain code, collection site and date, source of the sequence data, GenBank accession numbers for (18S) SSU and (28S) LSU and whether the V4 and V9 regions are present in the 18S sequence.In Press in PLOS One
DOI: 10.17632/cy9hzxtz2h
title: Regime-dependent Price Puzzle in the Brazilian Economy: evidence from VAR and FAVAR approaches.

description: We investigate whether the price puzzle, found in previous empirical studies, consists of model misspecification or a feature of the economy. To analyze the anomaly, we estimate the central bank's reaction function through the standard VAR and FAVAR approaches, spanning the period from July 2003 to June 2018. The results suggest that the price puzzle stands out as a feature of the economy only at intervals of activity slowdown. The data consists of the 71 indicators potentially used by the Brazilian Central Bank in formulating monetary policy. Note that “SA” stands for series seasonally adjusted by the source and “*” denotes series seasonally adjusted by the Census X-13 ARIMA methodology (US Census Bureau). The transformation codes are: 1-No transformation; 2-First diﬀerence; 3-Logarithm; and 4-First diﬀerence of logarithm. The "S/F" stands for “Slow-moving” (S) and “Fast-moving” (F). The sources of the time series used in our study are as follows: the Brazilian Steel Institute (IBS), the State System of Data Analysis, Research and Unemployment Foundation (SEADE), the Center Foundation for Foreign Trade Studies (FUNCEX), the Brazilian Association of Financial and Capital Market Institutions (ANBIMA), the Institute of Applied Economic Research (IPEA), the National Confederation of Industry (CNI), the Brazilian Central Bank (BCB), the Brazilian Institute of Geography and Statistics (IBGE), the Brazilian Ministry of Labor (ML), the Brazilian Foreign Trade Secretary (FTS), the Brazilian stock market exchange (BMF Bovespa), the Getulio Vargas Foundation (FGV, Brazilian economic research institution), the JP Morgan, the Investing (US-based financial investment company), the US Bureau of Labor Statistics (BLS), the Federal Reserve Bank (FED), the Organization for Economic Cooperation and Development (OECD), and the International Monetary Fund (IMF). Importantly, the CDI is the average interest rate, indicative against which a representative group of banks makes unsecured loans to each other in the Brazilian financial market. The swap DI x Fixed Interest Rate is floating for a fixed swap contract . The IPCA, IPC, and INPC are consumer price indexes with diﬀerent building methodologies. The IPADI is a producer price index. The INCC measures the changes in prices of the construction sector. The IPCA index is composed of free and state-regulated prices. The formers are determined by market supply and demand and comprise the prices of food, beverage, housing, household items, clothing, personal expenses, and education (IPCA Free Prices). The IPCA Free Tradable Prices index is composed of prices of goods that have free prices and are internationally traded. The IPCA Core Prices index is a measure that aims to capture the price trend, excluding the disturbances caused by temporary shocks. The IGPDI and IGPOG are both hybrid price indexes with diﬀerent methodological approaches.
DOI: 10.17632/p25744hwrc
title: DriVQA: A Gaze-Based Dataset for Visual Question Answering in Driving Scenarios

description: DriVQA is a novel dataset that combines gaze plots and heatmaps with visual question-answering (VQA) data from participants who were presented with driving scenarios. Visual Questioning Answering (VQA) is proposed as a part of the vehicle autonomy trustworthiness and interpretability solution. They are recently being explored in the context of autonomous driving to enhance the understanding of the environment through visual inputs and enable more intelligent decision-making by the autonomous vehicle. Collected using the Tobii Pro X3-120 eye-tracking device, the DriVQA dataset provides a comprehensive mapping of where participants direct their gaze when presented with images of driving scenes, followed by related questions and answers from every participant. The DriVQA dataset contains five key elements for each scenario: images of driving situations, associated questions, participant answers, gaze plots, and heatmaps. Each gaze plot represents the exact points of focus and their sequence on the driving images, with the size of these exact points illustrating the length of attention, while the heatmaps illustrate the number of gaze points and their durations in various areas of the scene. DriVQA is being used to study the subjectivity inherent in VQA. Its detailed gaze-tracking data offers a unique perspective on how individuals perceive and interpret visual scenes, making it an essential resource for training VQA models that rely on human-like attention. The dataset is a valuable tool for investigating human cognition and behaviour in dynamic, real-world scenarios. DriVQA is highly relevant for VQA models, as it allows the systems to learn from human-like attention behaviour when making decisions based on visual input when trained. The gaze data has the potential to guide VQA models in selecting the most relevant regions of an image for answering specific questions, much like a human would focus on key areas of a driving scene. The dataset has the potential to drive advancements in VQA research and development by improving the safety and intelligence of driving systems through enhanced visual understanding and interaction. DriVQA has significant potential for reuse in various research areas, including the development of advanced VQA models, attention analysis, and human-computer interaction studies. Its comprehensive gaze plots and heatmaps can also be leveraged to improve applications in autonomous driving, driver assistance systems, and cognitive science research, making it a versatile resource for both academic and industrial purposes.
DOI: 10.17632/yvjnz69pn4
title: Data for: DNA damage in liver cells of the tilapia fish Oreochromis mossambicus larva induced by the insecticide cyantraniliprole at sublethal doses during chronic exposure

description: This paper described the acute and chronic toxicity of cyantraniliprole to juvenile tilapia was evaluated in the present study. The results showed that 96 h LC50 of cyantraniliprole to tilapia was 38 mg/L. After exposure for 28 days, specific growth rates of the blank control, solution control, and the treatments of 0.037, 0.37 and 3.7 mg/L of cyantraniliprole were 1.14, 0.95, 0.93, 0.82 and 0.70% per day, respectively. The results of micronucleus experiment and single cell gel electrophoresis showed that cyantraniliprole damaged DNA in liver cells of tilapia larvae. Quantitative PCR results showed that cyantraniliprole could induce the up-regulation of the genes Ccne 1, Cdk2, Orc1, Ccna 1, Ccnb, Rpa 3 and Fen1 that are responsible for the DNA damage and repair. Among those genes, Ccna1 and Rpa3 were most notably up-regulated. It is therefore proposed that cyantraniliprole causes DNA damage in liver cells of tilapia and activates DNA damage and repair pathways.
DOI: 10.6084/m9.figshare.14870139.v1
title: Dataset .csv

description: This is a dataset link to paper Improved Back Test of Magic Formula in Malaysian Stock Market Using Applied Programming and Online Quantitative Platform. Include the monthly return for all portfolio and return and risk statistics. <br>
DOI: 10.6084/m9.figshare.28696601.v2
title: ITS2 sequences of SCENEDESMACEAE

description: ITS2 sequences of SCENEDESMACEAE
DOI: 10.6084/m9.figshare.8863898.v1
title: Data for JEE article 07 2019.xls

description: The data summarize four crucial dimensions of students’ attitudes toward four major school subjects at business academies in the Czech Republic and Slovakia
DOI: 10.17608/k6.auckland.7128197.v1
title: Connectedness to Nature Index-Parents of PreSchool Children

description: This data set in SPSS format was obtained by Dr Tanja Sobko from parent perceptions survey of pre-school children's connectedness to nature and their strengths and difficulties. The data consist of 25 items from the SDQ inventory and 20 items of the Connectedness to Nature Index for Parents of Preschool Children. Analyses were conducted by Prof Gavin Brown, the University of Auckland.
DOI: 10.17632/k9gx5vdczm
title: Audio Codes for Korean language reading

description: Dataset of Korean language reading
DOI: 10.6084/m9.figshare.14286305.v1
title: Evaluation of galectin-3 levels in patients with type 2 diabetes mellitus and chronic kidney disease

description: ABSTRACT INTRODUCTION: Type 2 diabetes mellitus (T2DM) is the most common manifestation of diabetes, accounting for about 90% of diagnosed cases. The causes of T2DM are not fully understood, but its pathogenesis is possibly associated with increased adiposity and a chronic low-grade inflammatory response. The glycoprotein galectin-3 (Gal-3) is known to play an important role in the modulation of blood glucose, adiposity, and inflammation. OBJECTIVES: The aim of this study was to evaluate Gal-3 levels in patients with T2DM and chronic kidney disease (CKD), in addition to relating them with complications and comorbidities present in these patients, comparing them to a control group. MATERIAL AND METHODS: Gal-3 was evaluated in 84 selected individuals, of which 42 had clinical and laboratory diagnosis of T2DM and CKD (treated at Santa Casa Hospital in Belo Horizonte, Minas Gerais, Brazil), and 42 individuals from the local community, with no history of diabetes (control group). RESULTS AND DISCURSION: Gal-3 levels were significantly higher (p = 0.012) in the T2DM group (15.17 ± 5.54 ng/ml) when compared to the control group (12.62 ± 3.2 ng/ml). There was a tendency for higher levels of Gal-3 in diabetic patients with hypertension (15.74 ± 5.61 ng/ml) when compared to patients without this complication (10.96 ± 2.49 ng/ml) (p = 0.069) CONCLUSION: The results suggest that Gal-3 may be involved in the pathophysiology of T2DM and still be a promising biomarker associated with hypertension in this group.
DOI: 10.6084/m9.figshare.25998328.v1
title: Raw and processed data file for early-age strength of geopolymer mortars from waste concrete and bricks.

description: Raw data for Dataset on early age strength of ambient-cured geopolymer mortars from waste concrete and bricks with different alkaline activators.
DOI: 10.6084/m9.figshare.3563094.v1
title: Supplement 1. R code for fitting Argos data with argosTrack.

description: File List argosTrack.tar.gz (md5: e7e7f6f0e502c42b4cd24ee8f9679e62)<br> argosTrack.R (md5: 7857ead3f7e13ed67ceb16655b546ac6)<br> bsam.R (md5: 2f4b064ef9089a90873b0049fea39b31)<br> crawl.R (md5: f36b3c25fd8e929a3d41cd4867cdfd92)<br> Description argosTrack.tar.gz - Source code for the R package argosTrack. argosTrack.R - Example of how to use the package argosTrack. bsam.R - R code for analysis of the seal data using bsam. crawl.R - R code for analysis of the seal data using crawl. Installing argosTrack on Windows The argosTrack package depends on the package TMB. To install TMB download and unzip the code from: https://github.com/kaskr/adcomp/archive/master.zip. Open R, change the working directory to the unzipped adcomp-master folder, and run source("install_windows.R"). The command will ask to install Rtools which should be accepted. After a successfull installation of TMB, change the working directory to the folder containing argosTrack.tar.gz and install with library(TMB);install.packages("mvtnorm");install.packages("argosTrack.tar.gz",repos=NULL,type="source"). Installing argosTrack on Linux The argosTrack package depends on the package TMB. To install TMB download and unzip the code from: https://github.com/kaskr/adcomp/archive/master.zip. In the terminal, change directory to the unzipped adcomp-master folder, and run make install. After a successfull installation of TMB, change the directory to the folder containing argosTrack.tar.gz, open R, and run install.packages("mvtnorm");install.packages("argosTrack.tar.gz",repos=NULL,type="source"). Installing argosTrack on Mac OS X The argosTrack package depends on the package TMB. To install TMB, install Xcode from the App Store, install gFortran from http://cran.r-project.org/bin/macosx/tools/, and download and unzip the TMB source code from: https://github.com/kaskr/adcomp/archive/master.zip. Open the terminal and change the directory to the unzipped adcomp-master folder. Run the command make install. After a successfull installation of TMB, change the directory to the folder containing argosTrack.tar.gz, open R, and run install.packages("mvtnorm");install.packages("argosTrack.tar.gz",repos=NULL,type="source").