cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5265vcnhds
title: Social insurance law and firm markup in China

description: As labor protection policies become widespread globally, assessing the economic impact of these policies is critical to business decision-making. However, the relationship between labor cost and enterprise markup has not been confirmed in the existing literature. Based on China's Social Insurance Law, we examine the issue by using a difference-in-differences model and the data from Chinese listed firms. We find that after the implementation of the Social Insurance Law, the markups of labor-intensive firms were significantly reduced compared with non-labor-intensive ones. The main mechanism driving the markup decline is the price effect caused by market share competition. Further tests suggest that the adverse influence is greater for firms with fewer financing constraints, enterprises in highly marketized areas, and nonstate-owned ones. Our research shows that the mechanism of labor protection policies’ impact on markup should not only analyze the factor market but also extend to the product market.
DOI: 10.17632/p85z3v45xk
title: HQA-data: A historical Question Answer Generation dataset From previous multi perspective conversation

description: This is a Question Answering dataset based on the user's chat log. We found a dataset that contains two or multiple persons' conversations in text format; the dataset name is "The Ubuntu Dialog Corpus". From that dataset, we analyze the user’s chats based on dialogueID, which represents a unique chat room. Based on the dialougeID, we have merged those chats and converted them into context. We derived questions and answers from the context. Then, based on that context, we determine the starting and ending positions of the answer. Our dataset is available in two different formats: 1. Comma Separated Values (CSV), 2. JSON-formatted data. Each format contains 7323 contexts and 29150 QA pairs in the Train file. And there are 2041 contexts and 7288 QA pairs in the Test file. In total, there are 9364 contexts and 36438 QA pairs in our dataset.
DOI: 10.17632/hdhcsf6k6m
title: Structural basis of human CHD1 nucleosome recruitment and pausing

description: Data S1. Data files, related to Figures 2-5, Figure S1. (A-W) Uncropped gels of nucleosome sliding reactions. (X-Z) Uncropped gels of purified (X) protein components, (Y) nucleosome substrates, and (Z) gel filtration elution fractions from Figure S1A. 

Data S2. Excel file containing raw data for fluorescent polarization experiments, related to Figure 5D.

Data S3. Excel file containing raw data for fluorescent polarization experiments, related to Figures 2H, S9A-C.
DOI: 10.17632/mcnzzpgrdj
title: Arabic Hate Speech Dataset 2023

description: Description of Jordanian Hate Speech Corpus (JHSC):

The folder consists of two CSV files: 

1. annotated-hatetweets-4-classes_train.csv

Which contains (302,766) labeled tweets

2. annotated-hatetweets-4-classes_test.csv

Which contains (100,923) labeled tweets



Each file contains three features: 
1. Tweet id: Unique ID given for each tweet (removed before training)
2. Text: The tweet text in Arabic, cleaned and pre-processed.
3. Label: the dataset has 4 labels:
 a. Negative: No hate speech is included in the tweet.
 b. Neutral: General tweet (add, prayer, no sentiment is included)
 c. Positive: A hate speech exists, bullying, sarcasm, racism, ...etc.
 d. Very positive: A severe hate speech exists; includes phrases that can cause fights, or very bad influence on people and society.
DOI: 10.25381/cput.11920803.v1
title: Bambara groundnut milk products and alternative milk products

description: Dissimilarities and similarities of Bambara groundnut milk compared to commercial alternative milk products.
DOI: 10.17632/hwg4hfcykg
title: IGFBP7 is upregulated in islets from T2D donors and reduces insulin secretion

description: Macros and code associated with image processing and analysis for the article “IGFBP7 is upregulated in islets from T2D donors and reduces insulin secretion”. For further information or details, please contact the corresponding authors of the manuscript. These codes are available for use under a Creative Commons licence by attribution (CC-BY-4.0) with use and modification permitted but requiring attribution to the associated article. Associated Manuscript DOI: https://doi.org/10.1016/j.isci.2024.110767
DOI: 10.6084/m9.figshare.3531776.v1
title: Appendix B. Information on community data and results of tests for community structure.

description: Information on community data and results of tests for community structure.
DOI: 10.6084/m9.figshare.28080686.v1
title: Credit Risk Data

description: This data set is SCOPUS data on existing credit risk research used to write a systematic literature review.
DOI: 10.6084/m9.figshare.5598520.v1
title: UI Snapshots - Design Iteration I

description: UI Snapshots through the iterative cycles of design, development and evaluation - assorted visualisation modules exploring skills analysis in the EDSA project.
DOI: 10.17632/56hkkb5kdg
title: Source datasets for Lipidome Atlas of the Developing Heart Uncovers Dynamic Membrane Lipid Attributes Underlying Cardiac Structural and Metabolic Maturation

description: Excel contains source datasets corresponding to individual figures in the manuscript "Lipidome Atlas of the Developing Heart Uncovers Dynamic Membrane Lipid Attributes
Underlying Cardiac Structural and Metabolic Maturation" in journal Research https://doi.org/10.34133/research.0006
DOI: 10.17632/86x733xkb8
title: Dataset of Arabic Spam and Ham Tweets

description: This paper is a descriptor for the dataset, cite it when you use the data:
Kaddoura, Sanaa, and Safaa Henno. "Dataset of Arabic spam and ham tweets." Data in Brief 52 (2024): 109904.
Paper Link: https://www.sciencedirect.com/science/article/pii/S2352340923009472

The data was analyzed in this article:
Kaddoura, S., Alex, S. A., Itani, M., Henno, S., AlNashash, A., & Hemanth, D. J. (2023). Arabic spam tweets classification using deep learning. Neural Computing and Applications, 1-14.

The data are collected from Twitter using Twitter API between January 27, 2021, and March 10, 2021. The download tweet information is Tweet ID, DateTime, URL, Tweet Text, User Name, Location, Replied Tweet ID, Replied Tweet User ID, Replied Tweet Username, Retweet Count, Favorite Count, and Favorited.

The dataset contains two file.
The first file is "Dataset of Arabic Spam and Ham Tweets.xlsx.": This file contains the original collected dataset. The dataset contains 13241 records. Each record represents a tweet. The tweets are labeled either Ham or Spam. Ham means non-spam tweet. There are 1924 Spam tweets and 11299 Ham tweets. The tweets are unique i.e. there are no repeated tweets records.

The second file is "Augmented_SpamHamTweets.xlsx": on this dataset, contextual augmentation was applied to increase the number of the minority class which is the "spam" class. This file will help while applying machine learning to the dataset to get better and more reliable results. This dataset now contains 11030 ham tweets and 15128 spam tweets.
DOI: 10.17632/9srt3pb3vv
title: Airports data with local parameters

description: Data for the study titled determining transport facility locations with several spatial parameters through tree-seed algorithm based examination. Data set of specific airports in Turkey, including the number of passengers, areas of the airport fields, and weather conditions at the region of those airports.
DOI: 10.17632/bk75tmfb7f
title: Global Virtual teams performance data

description: All the teams in the dataset follow the same support process of a similar business IT application. As the team are part of the same company, many of variables such as management support, organizational maturity, training standards and overall company culture are the same. The company is part large corporation (200 000+ employees) and is focused on aviation industry, overall the processes in the department are mature and long running, hence the influence of learning curve towards work contents should be largely exhausted (teams running in the same setting for +5 years). Therefore, the main differentiating variable is the level of virtuality and possible learning curve with adoption of virtual tools during forced virtuality. 

The scope of teamwork includes complete care of the Enterprise Resource Planning (ERP) system. The nature of work includes the full service of the company information system, covering the resolution of any reported issues or defects found by users working with the system. A usual roadmap of such support ticket includes initial triage of criticality and complexity, analysis, code development, internal testing, user acceptance testing, deployment and post-deployment monitoring.

Research data were extracted from the main company ticketing system using the default reporting system of ServiceNow software. Extracted data include necessary identification details that measure over 150 selected variables and KPIs of each ticket (work item). Also, the technical nature of this extraction ensures high data quality and a unified measurement process for all examined tickets. Tickets with outlier values such as resolution time over one month were removed. Also, the work items that were not entirely up to the selected teams were removed (extensive interaction with a third party).

In total 59 267 individual work items from 58 teams consisting of  1 548 members were extracted and analysed to create the research database. The research data were gathered from an extensive period of January 2018 to December 2020 to ensure that the dataset covers high exposure periods of the ERP system (year-end closing of financial ledgers and monthly/quarterly production planning). The company’s internal ticketing system ensures the quality of the dataset; therefore, it depicts fully verified metrics.

Resolution time	Mean time duration of work items for the team over quarter
Communication ambiguity	Mean number of updates per work items for the team over quarter
Quality reworks	Mean number of reworks per items for the team per quarter
DOI: 10.6084/m9.figshare.28611914.v1
title: Impact of the Conversational Educational Design Kit on Student Performance in Higher Education: A Prototype - DATA availability .xlsx

description: Learning in higher education requires strategies that structure balanced and effective experiences. In this context, the Conversational Educational Design Kit emerges as a tool that combines a conversational learning framework and a set of educational design principles, facilitating teacher planning without requiring specialized pedagogical training. However, its impact on student performance has not been widely evaluated. To address this gap, the authors developed the Conversational Learning Metrics (CLM), a tool based on Learning Analytics that quantifies the relationship between the five types of learning proposed in the Kit and their influence on academic performance.The study implemented the Kit and CLM in a university course, analyzing the interaction between the types of learning through regression and correlation models. The results show that practice and inquiry are the most significant predictors of production, highlighting the importance of actively applying knowledge and encouraging autonomous exploration. Additionally, interdependencies between acquisition and discussion, as well as between inquiry and discussion, were evident, suggesting that strengthening one type of learning positively impacts others.These findings validate the Kit and CLM as effective tools for improving teaching in higher education. However, it is recommended to expand their application in different contexts and evaluate their impact on variables such as motivation and self-efficacy, reinforcing the importance of integrated pedagogical models to optimize university teaching.The dataset collects the student performance within the CLM. Data is obtained from the institutional LMS.
DOI: 10.17632/cz3t2x7t7s
title: Discrete Choice Experiment data - Experiment 2

description: Discrete choice experiment data on wind energy preferences from a national representive sample of the Norwegian population. Fielded in March 2022 using TNS Kantar's high-quality panel data.
DOI: 10.6084/m9.figshare.12221720.v1
title: Experimental Settings

description: Experimental settings used in the experiments.
DOI: 10.6084/m9.figshare.23302022.v3
title: SEM images, quantitative analysis code of SEM images, and data analysis code for "Grass pollen surface ornamentation is diverse across the phylogeny: evidence from northern South America and the global literature"

description: The grasses are one of the most diverse plant families on Earth, however, their classification and evolutionary history are obscured by their pollen stenopalynous (similar) morphology. A combination of high-resolution imaging of pollen surface ornamentation and computational analysis has previously been proposed as promising tool to classify grass taxonomic boundaries. In this study, we test this hypothesis by studying Poaceae pollen across the phylogeny from plants collected in northern South America, but also from published literature across the globe. We assessed if morphotypes that we establish using descriptive terminology are supported by computational analysis, if they vary along six (a)biotic variables and how vary across the phylogeny. Based on this analysis, we constructed a reference framework for pollen surface ornamentation morphotypes. Our results showed that there is a very wide variation of grass pollen surface ornamentation. We identified nine new and six known morphotypes and established our dataset of 223 species (243 individual plant specimens) from 11 subfamilies. Computational analysis showed that our morphotypes are well-supported by two quantitative features of pollen sculptural elements (size and density). The specific dataset and mapping of the phylogeny confirmed that pollen morphological sculpture is unrelated to (a)biotic variables but is diverse across through the phylogeny.
DOI: 10.6084/m9.figshare.28660640.v2
title: Data for "Quasi-Linear Convective Systems and Derechos across Europe: Climatology, Accompanying Hazards, and Societal Impacts"

description: Polygon shapefiles and metadata of 2202 quasi-linear convective systems collected for Europe for the period 2014-2021, based on manual investigation of teledetection data, severe weather reports and ERA5 reanalysis. This data was used in<i> </i>"Quasi-Linear Convective Systems and Derechos across Europe: Climatology, Accompanying Hazards, and Societal Impacts" (https://doi.org/10.1175/BAMS-D-23-0257.1).
DOI: 10.17632/9vgkrg5hkf
title: Guilt EEG Data

description: data set comprises of total 7 participant data
DOI: 10.17632/npc39mrhgy
title: Nonsurgical Treatments for Urinary Incontinence in Adult Women: Diagnosis and Comparative Effectiveness

description: Prepared for: Agency for Healthcare Research and Quality, U.S. Department of Health and Human Services1, Contract No. 290-2007-10064-I, Prepared by: Minnesota Evidence-based Practice Center, Minneapolis, Minnesota Suggested citation: Shamliyan T, Wyman J, Kane RL. Nonsurgical Treatments for Urinary Incontinence in Adult Women: Diagnosis and Comparative Effectiveness. Comparative Effectiveness Review No. 36. (Prepared by the University of Minnesota Evidence-based Practice Center under Contract No. HHSA 290-2007-10064-I.) AHRQ Publication No. 11(12)-EHC074-EF. Rockville, MD. Agency for Healthcare Research and Quality. April 2012. Available at: www.effectivehealthcare.ahrq.gov/reports/final.cfm. This report is based on research conducted by the Minnesota Evidence-based Practice Center (EPC) under contract to the Agency for Healthcare Research and Quality (AHRQ), Rockville, MD (Contract No. HHSA 290-2007-10064-I). The findings and conclusions in this document are those of the author(s), who are responsible for its contents; the findings and conclusions do not necessarily represent the views of AHRQ. No statement in this report should be construed as an official position of AHRQ or of the U.S. Department of Health and Human Services.
DOI: 10.6084/m9.figshare.24714309.v1
title: Barnacle Naupliar Release Data Carryover Effects

description: Barnacle (<i>Amphibalanus improvisus</i>) naupliar release data from Gehret et al.
DOI: 10.6084/m9.figshare.29155082.v1
title: ECHO

description: ECHO for 3m and 20m
DOI: 10.6084/m9.figshare.5671156.v1
title: TGA

description: Thermogravimetric analysis<br>
DOI: 10.6084/m9.figshare.5738439.v6
title: Tattooed Human Mummies, List Version 3.0

description: The following presents a global data set identifying tattooed human mummies from the archaeological record. Version 1.0 was compiled in 2016 for inclusion as Table 1 in the journal article “The World’s Oldest Tattoos” (Deter-Wolf et al. 2016). Benoît Robitaille, Lars Krutak, and Sébastien Galliot all contributed to that initial effort. Changes between versions are detailed below. Entries in the data table are organized broadly by date, and rely on direct dating wherever possible. Where radiocarbon data is available, dates represent calibrated ranges. Each entry also includes documentation as to the associated archaeological culture, site, and significant source material, as available. At the present time, unpublished and/or unprovenienced specimens from museums and private collections are not generally included in the data set. Changes from Version 2.0 to 3.0: · Sources Added. · Improved citations and corrected date ranges as necessary <br> · New entries for additional Andean specimensChanges from Version 1.0 to 2.0: · Deleted “Loulan Beauty” from Gumugou, Qäwrighul, China, who is not tattooed. · Updated Egyptian data per Friedman (2017:Table 1) · Improved citations and corrected date ranges as necessary · New entries for Timbac Rockshelter and Andean specimens
DOI: 10.25452/figshare.plus.20022944.v2
title: "Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq" Replogle et al. 2022 SRA and GEO file manifest

description: These tables list the raw fastq files (found on SRA under BioProject PRJNA831566 https://www.ncbi.nlm.nih.gov/bioproject/PRJNA831566) and associated BAM/MTX files for each lane/gemgroup of single-cell RNA-sequencing. <br> In these manifest files, all FASTQ files associated with a single lane/gemgroup of 10X Genomics single-cell RNA-sequencing are listed in a single row. These files can be used as input for an aligner like celllranger count, starsolo, or kallisto-bustools. <br> The "gemgroup" field indicates the integer value which is assigned to this gemgroup for aggregation of single-cell RNA-sequencing data in the finalized h5ad dataset.
DOI: 10.6084/m9.figshare.12824843.v1
title: R0187_20170916a_videos

description: Rat 0187, skilled reaching data collected on 9/16/2017 in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.2065839.v3
title: R code for Brewer, Butler and Cooksley in MEE (2016)

description: This code reproduces the results in the paper "The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity", in the journal Methods in Ecology and Evolution [doi: 10.1111/2041-210X.12541]. There are also a number of data files included, which include the simulation data; note that if rerunning the simulations, the plots produced may look different from those in the paper.<br>
DOI: 10.6084/m9.figshare.9249305.v1
title: PVCVTECGData After Noise Reduction

description: The 12-lead ECG data analysis is a reliable tool to ascertain the locations of premature ventricular contractions or ventricular tachycardia and determine the locations of subsequent catheter ablation procedure. The majority of idiopathic ventricular arrhythmia, outflow tract ventricular arrhythmia stem from either the right ventricular outflow tract or the left ventricular outflow tract. We created a new 12-lead ECG database that was created under the auspices of Chapman University and Ningbo First Hospital of Zhejiang University with the intention to provide high quality evidence revealing the distinction between idiopathic ventricular arrhythmia from right ventricular outflow tract to left ventricular outflow tract. The dataset contains 334 subjects who not only experienced idiopathic premature ventricular contractions or ventricular tachycardia but also had successfully undergone a catheter ablation procedure that validated the accurate origins of idiopathic ventricular arrhythmia.<br>
DOI: 10.6084/m9.figshare.14685972.v1
title: Supplementary Material for: Ultrasonographic Intraparenchymal Renal Resistive Index Variation for Assessing Renal Functional Reserve in Patients Scheduled for Cardiac Surgery: A Pilot Study

description: <b><i>Introduction:</i></b> Cardiac surgery-associated acute kidney injury (CSA-AKI) is a common complication in patients undergoing cardiac surgery. Preoperative renal functional reserve (RFR) has been demonstrated to be highly predictive of CSA-AKI. We have previously demonstrated that intraparenchymal renal resistive index variation (IRRIV) measured by ultrasound (US) can identify the presence of RFR in healthy individuals. This study aimed (1) to examine the correlation between the US IRRIV test and RFR measured through the protein loading test in patients undergoing elective cardiac surgery and (2) to determine the value of the 2 methods for predicting occurrence of AKI or subclinical AKI after cardiac surgery. <b><i>Methods:</i></b> Consecutive patients scheduled for cardiac surgery were enrolled for this pilot study. The protein loading test and the IRRIV test were performed in all patients 2 days before cardiac surgery. Correlation between IRRIV and RFR was tested using Pearson correlation analysis. Association between presence of RFR and positive IRRIV test, presence of RFR and AKI and subclinical AKI, and positive IRRIV test and AKI and subclinical AKI was evaluated using logistic regression analysis. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the values of IRRIV for predicting RFR, RFR for predicting AKI and subclinical AKI, and IRRIV for predicting AKI and subclinical AKI. <b><i>Results:</i></b> Among the 31 patients enrolled, significant association was found between IRRIV and RFR (<i>r</i> = 0.81; 95% CI: 0.63–0.90; <i>p</i> &lt; 0.01). The association between RFR and IRRIV was described in 27/31 (87.1%) patients. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the IRRIV test were 100, 84, 60, and 100%, respectively. In ROC curve analysis, the area under the curve (AUC) was 0.80 (95% CI: 0.64–0.96). After cardiac surgery, 1/31 (3.2%) patient had AKI and 12/31 (38.7%) had subclinical AKI. RFR predicted subclinical AKI (odds ratio [OR] = 0.93; 95% CI: 0.87–0.98; <i>p</i> = 0.02). The sensitivity, specificity, PPV, and NPV of the RFR were 61, 88.8, 80, and 76%, respectively; the AUC was 0.75 (95% CI: 0.59–0.91). IRRIV predicts subclinical AKI (OR = 0.79; 95% CI: 0.67–0.93; <i>p</i> = 0.005). The sensitivity, specificity, PPV, and NPV of the IRRIV test were 46.1, 100, 100, and 72%, respectively; the AUC was 0.73 (95% CI: 0.58–0.87). <b><i>Conclusion:</i></b> This pilot study suggests that a positive IRRIV test can significantly predict the presence of RFR in patients scheduled for cardiac surgery. RFR measured by the protein loading test or by the US IRRIV test can predict the occurrence of subclinical postoperative AKI. The findings of this study need to be confirmed in large patient cohorts.
DOI: 10.17632/3k99jn38w3
title: Catecholaminergic cell type-specific expression of Cre recombinase in knock-in transgenic rats generated by the Combi-CRISPR technology

description: TH-Cre KI rat strains produced by the Combi-CRISPR system offer a beneficial model to study the molecular and cellular mechanics for the morphogenesis, physiology, and pathology of catecholamine-containing neurons in the brain.