cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5241130.v1
title: Erratum: 15-Deoxy-Δ<sup>12,14</sup>-Prostaglandin J<sub>2</sub> Induces IL-8 and GM-CSF in a Human Airway Epithelial Cell Line (NCI-H<sub>292</sub>)

description: <i>Background: </i>15-Deoxy-Δ<sup>12,14</sup>-prostaglandin J<sub>2</sub> (15d-PGJ<sub>2</sub>), a major prostanoid metabolized from prostaglandin D<sub>2</sub> (PGD<sub>2</sub>), plays an important role in various biological processes including inflammatory responses. 15d-PGJ<sub>2</sub> exerts its effects through two major receptors, chemoattractant receptor- homologous molecule expressed on Th2 cells (CRTH2) and peroxisome proliferator-activated receptor-γ (PPARγ). The 15d-PGJ<sub>2</sub>/PPARγ system, in particular, regulates numerous biological processes including adipogenesis, apoptosis, and inflammation. Although our studies have shown that PGD<sub>2</sub> (metabolic precursor of 15d-PGJ<sub>2</sub>) induces IL-8 and GM-CSF production, the role of 15d-PGJ<sub>2</sub> (metabolite of PGD<sub>2</sub>) is unknown in human bronchial epithelial cells. In this study, we investigated the function of 15d-PGJ<sub>2</sub> on a human airway epithelial cell line: NCI-H<sub>292</sub>. <i>Method:</i> NCI-H<sub>292</sub> cells were cultured in the presence of various stimulants. The resulting supernatants were used for ELISA analysis. <i>Results:</i> We demonstrated that 15d-PGJ<sub>2</sub> induced production of IL-8 and GM-CSF from NCI-H<sub>292</sub>. 13,14-Dihydro-15-keto-PGD<sub>2 </sub>(DK-PGD<sub>2</sub>) (CRTH2 agonist) and troglitazone (PPARγ agonist) failed to increase the production of these cytokines. Pretreatment with ramatroban (CRTH2 antagonist) and GW9662 (PPARγ antagonist) did not reduce the production of these cytokines. 15d-PGJ<sub>2</sub> activated the ERK1/2 signaling pathway in a time-dependent manner. <i>Conclusion:</i> These data showed that 15d-PGJ<sub>2</sub> is a potent inducer of IL-8 and GM-CSF production through ERK1/2 kinase activation, but this is independent of CRTH2 or PPARγ activation.
DOI: 10.17632/dxz7b32fmr
title: Advertisement calls of species of Proceratophrys

description: Data for the 28 species of the genus Proceratophrys that have already described advertisement call. Parameters presented here are those frequently described for species of this genus according to Mângia et al. (2018).
DOI: 10.17632/svr3fzk2nt
title: EmoAds: A Comprehensive Audio Dataset for Emotional Context Analysis in Advertisements

description: The dataset is a valuable resource that incorporates textual and audio data, facilitating the recognition of emotions and evaluation of advertisement effectiveness. It has the potential to resolve concerns regarding the impact of advertisements on the emotions and purchase intent of users.

The data collection procedure involved a survey for real-world user feedback on advertisements, yielding a textual dataset containing statements relating to emotions. Additionally, the dataset contains 100 audio advertisements in WAV format that were initially segmented into 60-second segments. The result of further division was 1,000 audio snippets. The dataset was enriched by various audio feature extraction techniques, including MFCC, Short Time Energy, Zero Crossing Rate, Power Spectral Density, and Spectrogram Analysis.

The survey's dependent variables are Arousal (A), Valence (V), Dominance (D), Liking (L), and Purchase (P). Independent features are coefficient values extracted from audio feature extraction techniques. The dataset incorporates these characteristics for thorough analysis. Generalization simplified the use of classification and prediction algorithms by reducing the rating scale for emotional statements from 1 to 5 to 1 to 3, thereby reducing their complexity.

The potential of the dataset includes emotion recognition, advertisement evaluation, algorithm benchmarking, and advertising strategy optimization. Companies, marketers, and advertisers can improve their advertising strategies and comprehend public perception and purchase rates. It also functions as a standard for testing algorithms. There may be correlations between audio features and user-reported emotions or purchase intent that are noteworthy. These findings can be utilized to create more effective advertisements and content.
DOI: 10.6084/m9.figshare.20406135.v2
title: A global dataset of microbial community in ticks from metagenome study

description: Ticks are important vectors of various zoonotic pathogens that can infect animals and humans, and most documented tick-borne pathogens have a strong bias towards microorganisms with strong disease phenotypes. The recent development of next-generation sequencing (NGS) has enabled the study of microbial communities, referred to as microbiome. Herein, we undertake a systema[TM1] tic review of published literature to build a comprehensive global dataset of reports on the diversity and distribution of microbiome by NGS in field-collected ticks. The dataset comprised 4418 records (76 literature) of geo-referenced occurrences for 47 species of ticks and 219 microorganism families, revealing a total of 83 [TM2] emerging viruses identified from 6 tick genera and 24 tick species since 1980. The viral, bacterial and eukaryotic composition was compared regarding the tick species, their live stage and types of the specimens, or the geographic location. The data can assist the further investigation of ecological, biogeographical and epidemiological features of the tick-borne disease.
DOI: 10.6084/m9.figshare.28958849.v1
title: Reference assemblies used in the empirical evaluation in the Amira paper.

description: Reference assemblies for 32 <i>Escherichia coli </i>used to generate the results of the empirical analysis in the Amira paper.
DOI: 10.6084/m9.figshare.24496216.v1
title: Association analysis of indel variants and gene expression identifies MDM4 as a novel locus for skeletal muscle hypertrophy and power athlete status

description: Insertions and deletions (indels) are the second most common type of variation in the human genome, with limited data on their associations with exercise-related phenotypes. The aim of the study was to examine the association between 18,370 indel variants and athletic performance, followed by functional and bioinformatic studies in 356,006 individuals. In a case-control study (<i>n</i>=80), the D allele of the functional (eQTL) rs35493922 I/D polymorphism of the <i>MDM4</i> gene was over-represented in power athletes (77.4%) compared to controls (32.5%; OR=7.1, <i>p</i>=9.8×10<sup>-6</sup>) and endurance athletes (48.3%; OR=3.7, <i>p</i>=0.0013). Furthermore, the D allele was positively associated (<i>p</i>=0.0013) with greater whole-body fat-free mass in the UK Biobank cohort (<i>n</i>=354,808). <i>MDM4</i> encodes a nuclear protein which inhibits the activity of the p53 tumor suppressor protein (induces skeletal muscle fibre atrophy). Accordingly, in a muscle biopsy study of athletes (n=22), we found that <i>MDM4</i> expression was significantly (<i>p</i>=0.0009) higher in the m. vastus lateralis of power compared to endurance athletes and was positively correlated with the percentage of fast-twitch muscle fibres (<i>r</i>=0.56, <i>p</i>=0.0062) and relative area occupied by fast-twitch muscle fibres (<i>r</i>=0.55, <i>p</i>=0.0086). The association between the <i>MDM4</i> gene expression and increased proportion of fast-twitch muscle fibres has been confirmed in two additional cohorts (m. vastus lateralis: <i>n</i>=291, <i>p</i>=0.001; m. gastrocnemius: <i>n</i>=791, <i>p</i>=0.003). Furthermore, it was shown that the expression of <i>MDM4</i> significantly increased (<i>n</i>=14, <i>p</i>=0.0009) in response to strength training (compared to endurance training). In conclusion, <i>MDM4</i> is suggested as a potential regulator of muscle fibre specification and size, with its indel variant associated with power athlete status.
DOI: 10.17632/76mdvzw7fg
title: Concentrated growth factor contained CD34+ stem cells as a potential remedy for treating psoriasis

description: Associated data of the paper including RNAseq data, barrier score and PSI.
DOI: 10.17632/8mcz8jsgnb
title: Zieni dataset for Phishing detection

description: This dataset was used for training machine learning models to detect phishing attacks and for studying the explainability of these models. It was published in 2024. The dataset refers to phishing and legitimate websites. Phishing samples have been collected from two sources, namely, PhishTank and Tranco, whereas legitimate samples were collected from Alexa. The dataset is balanced and contains 5,000 phishing and 5,000 legitimate samples, each described by 74 features extracted from the entire URL as well as from the Fully Qualified Domain Name, pathname, filename, and parameters. Of these features, 70 are numerical and four binary. The target variable is also binary.
DOI: 10.6084/m9.figshare.26937139.v1
title: Civilian Victimization Data (Final).xlsx

description: This file is the online supplement to "Theories of Civilian Victimization: Constraint, Control, or Contestation? Evidence from Afghanistan", and includes the accompanying dataset, R-code, and additional figures and analysis not included in the main paper.
DOI: 10.6084/m9.figshare.27037456.v1
title: <b>Mapping the global end-of-life vehicles</b>

description: This dataset is the first to discribe the global ELV generation. Around 144 countries and regions are given for the ELV in a detail.
DOI: 10.6084/m9.figshare.28218980.v1
title: Supplementary Material for: Verrucous Eccrine Angiomatous Hamartoma; A case report

description: Eccrine Angiomatous Hamartoma (EAH) is a rare malformation with the proliferation of eccrine glands and other dermal structures. It typically presents as a solitary lesion on extremities which appears at birth or during childhood. It is generally asymptomatic but may be associated with hyperhidrosis or pain. We report a case of Verrucous EAH on the heel of a 27-years old man which is an uncommon presentation of this tumor and review the clinical characteristics, histologic findings and prognosis of this rare condition.
DOI: 10.17632/xmhtd2mtks
title: Flow cytometry CGA datasets

description: All data related with the flow cytometry experiments.
DOI: 10.17632/spdcy9b5sd
title: Matlab software codes of MDM and IBM, raw data for the model parameters and calculated results

description: This is a Matlab software codes and related documents for our paper published in REVIEWS IN FISH BIOLOGY AND FISHERIES.
DOI: 10.6084/m9.figshare.22237712.v1
title: Data for Taylor et al. (2013) Hagfish Slime Clogging Study from Mechanisms of gill-clogging by hagfish slime

description: Spreadsheet containing all the data presented in the figures in the manuscript.
DOI: 10.6084/m9.figshare.26213237.v1
title: Statistics on Genome Repeat masking

description: Statistics on Genome Repeat masking
DOI: 10.6084/m9.figshare.29145170.v1
title: Identification and functional annotation of genes associated with juvenile hormone, ecdysteroid, chitin metabolism, and heavy metal transport pathways in <i>Propsilocerus akamusi</i>.

description: We systematically identified and functionally annotated genes in <i>Propsilocerus akamusi</i> involved in the juvenile hormone, ecdysteroid, chitin metabolism, and metal transport pathways, using relevant genes from <i>Drosophila melanogaster</i> and <i>Anopheles gambiae</i> as references. Through our validation, a total of 109 genes were definitively categorized into four distinct metabolic pathways: 27 genes were involved in the JH metabolic pathway, 24 in the 20E metabolic pathway, 27 in the chitin metabolic pathway, and 31 in metal transport pathways. All of these genes possess corresponding conserved sequences.
DOI: 10.6084/m9.figshare.3829989.v2
title: scikit-learn olivetti faces dataset olivettifaces.mat

description: Part of the olivetti faces dataset used in scikit-learn
DOI: 10.17632/2pbtmsrwbg
title: Can congresses play a positive role in environmental governance?

description: We analyze panel data from 286 Chinese cities between 2003 and 2020 using a staggered difference-in-differences approach to assess whether and how budget legislation by people’s congresses impacts air quality.All original data is in the file named all_data.xlsx. the descriptive statistics is in the file named 0_Data processing and descriptive statistics.do. The left files are the modelling and processing of DID regression. Hypothesis 1 is that Budget legislation by people’s congresses facilitates environmental governance while Hypothesis 1 is that budget legislation by people’s congresses cannot enhance environmental governance effectiveness.
This study measures environmental governance levels based on air quality, using cities’ mean PM2.5 data obtained by matching NASA and MODIS satellite observations compiled by the Atmospheric Composition Analysis Group of the United States with China’s administrative division vector data.The core explanatory variable in this study is the dummy variable of the People’s Congress budget legislation. If the province to which the city belongs in the current year issues the corresponding budget supervision regulations in accordance with the Budget Law of the People’s Republic of China, it is assigned a value of 1; otherwise, it is assigned a value of 0. We find budget legislation significantly reduces particulate matter 2.5 (PM2.5) in the air by 1.58% and carbon emissions by 1.2% in pilot cities, and these findings are highly robust.This study is the first to systematically demonstrate the effectiveness of budget legislation as a tool for congressional environmental governance, an area that has previously neglected budgetary means. The findings highlight the need to enhance the budgetary authority of people’s congresses and ensure their proper roles in environmental governance.
DOI: 10.17632/ptz6zhknyp
title: Reference COVID-19 clinical data for synthetic data generation with SASC

description: The reference COVID-19 dataset was obtained from the Clinical Practice Research Datalink (CPRD). This dataset is based on real anonymized primary care patient data extracted from the CPRD Aurum database (https://www.cprd.com/primary-care) . Patients were typically in primary care with symptoms of COVID-19 (confirmed/suspected) and control participants with a negative COVID-19 test result. For the purpose of this paper, we made use of the CRPD COVID-19 symptoms and risk factors synthetic dataset (Version 2021.04.001). The dataset contains information on sociodemographic and clinical risk factors from 03/12/2019 to 13/04/2021. The dataset is also publicly deposited on Zenodo at https://zenodo.org/record/5544057#.YVxl6ppBxaR.
DOI: 10.6084/m9.figshare.23596362.v1
title: Multimodal dataset or emotion recognition

description: video, audio and text collection
DOI: 10.6084/m9.figshare.5125648.v1
title: Supplementary Material for: Disruption of the ATE1 and SLC12A1 Genes by Balanced Translocation in a Boy with Non-Syndromic Hearing Loss

description: We report on a boy with non-syndromic hearing loss and an apparently balanced translocation t(10;15)(q26.13;q21.1). The same translocation was found in the normally hearing brother, father and paternal grandfather; however, this does not exclude its involvement in disease pathogenesis, for example, by unmasking a second mutation. Breakpoint analysis via FISH with BAC clones and long-range PCR products revealed a disruption of the arginyltransferase 1 <i>(ATE1)</i> gene on translocation chromosome 10 and the solute carrier family 12, member 1 gene <i>(SLC12A1)</i> on translocation chromosome 15. SNP array analysis revealed neither loss nor gain of chromosomal regions in the affected child, and a targeted gene enrichment panel consisting of 130 known deafness genes was negative for pathogenic mutations. The expression patterns in zebrafish and humans did not provide evidence for ear-specific functions of the<i> ATE1</i> and <i>SLC12A1</i> genes. Sanger sequencing of the 2 genes in the boy and 180 <i>GJB2</i> mutation-negative hearing-impaired individuals did not detect homozygous or compound heterozygous pathogenic mutations. Our study demonstrates the many difficulties in unraveling the molecular causes of a heterogeneous phenotype. We cannot directly implicate disruption of <i>ATE1</i> and/or <i>SLC12A1</i> to the abnormal hearing phenotype; however, mutations in these genes may have a role in polygenic or multifactorial forms of hearing impairment. On the other hand, it is conceivable that our patient carries a disease-causing mutation in a so far unidentified deafness gene. Evidently, disruption of <i>ATE1 </i>and/or <i>SLC12A1</i> gene function alone does not have adverse effects.
DOI: 10.6084/m9.figshare.7322246.v2
title: GuacaMol Test SMILES

description: Test partition of dataset for the GuacaMol de novo design benchmarks.<br>This is a subset of molecules extracted from ChEMBL 24. For more information see https://www.ebi.ac.uk/chembl/<br>
DOI: 10.6084/m9.figshare.8852084.v5
title: 10 Years Bug-Fix Dataset (PROMISE'19)

description: Replication Package of the paper "From Reports to Bug-Fix Commits: A 10 Years Dataset of Bug-Fixing Activity from 55 Apache's Open Source Projects"<br><br><b>ABSTRACT:</b><br>Bugs appear in almost any software development. Solving all or at least a large part of them requires a great deal of time, effort, and budget. Software projects typically use issue tracking systems as a way to report and monitor bug-fixing tasks. In recent years, several researchers have been conducting bug tracking analysis to better understand the problem and thus provide means to reduce costs and improve the efficiency of the bug-fixing task. In this paper, we introduce a new dataset composed of more than 70,000 bug-fix reports from 10 years of bug-fixing activity of 55 projects from the Apache Software Foundation, distributed in 9 categories. We have mined this information from Jira issue track system concerning two different perspectives of reports with closed/resolved status: static (the latest version of reports) and dynamic (the changes that have occurred in reports over time). We also extract information from the commits (if they exist) that fix such bugs from their respective version-control system (Git).We also provide a change analysis that occurs in the reports as a way of illustrating and characterizing the proposed dataset. Once the data extraction process is an error-prone nontrivial task, we believe such initiatives like this could be useful to support researchers in further more detailed investigations.<br><br>You can find the full paper at: https://doi.org/10.1145/3345629.3345639<br>If you use this dataset for your research, please reference the following paper:<pre><br>@inproceedings{Vieira:2019:RBC:3345629.3345639, author = {Vieira, Renan and da Silva, Ant\^{o}nio and Rocha, Lincoln and Gomes, Jo\~{a}o Paulo}, title = {From Reports to Bug-Fix Commits: A 10 Years Dataset of Bug-Fixing Activity from 55 Apache's Open Source Projects}, booktitle = {Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering}, series = {PROMISE'19}, year = {2019}, isbn = {978-1-4503-7233-6}, location = {Recife, Brazil}, pages = {80--89}, numpages = {10}, url = {http://doi.acm.org/10.1145/3345629.3345639}, doi = {10.1145/3345629.3345639}, acmid = {3345639}, publisher = {ACM}, address = {New York, NY, USA}, keywords = {Bug-Fix Dataset, Mining Software Repositories, Software Traceability}, } <br><br>P.S: We added a new dataset version (v1.0.1). In this version, we fix the git commit features that track the src and test files. More info can be found in the fix-script.py file. </pre>
DOI: 10.25573/serc.28127486.v1
title: Dataset: Carbon stocks and environmental driver data for blue carbon ecosystems along the Pacific coast of North America

description: This data release contains carbon stocks data and down-core profiles of bulk density and organic matter or carbon content for 1284 sediment cores from blue carbon ecosystems along the Pacific coast of North America compiled from 69 data sources. Ecosystem types are tideflats, seagrass meadows, emergent marsh, mangroves, and tidal swamps. In addition to carbon data, the data release includes metadata on each of the 69 data sources, the geographic positions and standardized tidal elevation (z*) of sediment cores, and core-level environmental data such as ecoregion, Köppen-Geiger climate zone, sediment grain size data, and vegetation type. These data form the basis for the publication: Janousek et al. (2025), “Blue carbon stocks along the Pacific coast of North America are mainly driven by local rather than regional factors”.
DOI: 10.6084/m9.figshare.11954460.v2
title: Botulinum Neurotoxin A: Light Chain and Nitrophenyl Psoralen (NPP) molecule

description: Complete PDB structure of the light chain of Botulinum Neurotoxin A molecule paired with a Nitrophenyl Psoralen (NPP) molecule. Structure was reconstructed from PDB entry 3BTA by using molecular dynamics simulations accelerated on GPUs.
DOI: 10.17632/56w9bydf5n
title: Data for: A Real Business Cycle Model with Money as a Sunspot Variable

description: Data for the paper
DOI: 10.17632/mf2v7ks8y3
title: CHEREN2, the Cherenkov counting efficiency by an anisotropy detection model

description: Abstract The commercially available liquid-scintillation spectrometers are also feasible for the detection of the Cherenkov light emitted by β-rays in transparent liquids, when the maximum-point energy of the Fermi distribution is greater than the Cherenkov threshold energy. We present a second version of the program CHEREN, which applies Poisson statistics to compute the two photomultipliers counting efficiency. We redefine previous version free parameters, including two new different coefficients in... Title of program: CHEREN2 Catalogue Id: ADIE_v2_0 [ADWJ] Nature of problem Although a liquid-scintillation spectrometer can be applied to count Cherenkov light photons free of noise interference, the non-isotropic character of the Cherenkov light emission reduces the counting efficiency of the two-phototube system working in coincidence, and makes the Cherenkov light measurements comparatively much less efficient than with scintillators. However, the application of standardization techniques based on Cherenkov counting is recommended when the radioactive sample cannot ... Versions of this program held in the CPC repository in Mendeley Data ADIE_v1_0; CHEREN; 10.1016/S0010-4655(98)00039-3 ADIE_v2_0; CHEREN2; 10.1016/j.cpc.2005.08.003 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/cdyfk73scx
title: Age at Infection as a Key Predictor of Cyst Burden in Pigs Experimentally Infected with Taenia solium

description: Data from the manuscript "Age at Infection as a Key Predictor of Cyst Burden in Pigs Experimentally Infected with Taenia solium", corresponding to the number of Taenia solium cysts found at necropsy in pigs experimentally infected with 20,000 eggs at different ages. The dataset includes several other variables, which were incorporated into a negative binomial regression to assess statistical differences in the number of cysts present at necropsy and to develop a predictive model.
DOI: 10.17632/hsxkmd5tt4
title: A cell-free transcription-translation pipeline for recreating methylation patterns boosts DNA transformation in bacteria

description: Original and uncropped gel images from Figures 1D, 3B, S1A-E, S2C and S4A.
DOI: 10.6084/m9.figshare.14191061.v1
title: Modified IEEE 69-bus distribution system parameters

description: IEEE 69-bus data
DOI: 10.6084/m9.figshare.27139806.v1
title: Database of chemical sclerochronology studies published in Doubleday et al. 2024 (L&O Letters)

description: Database of chemical sclerochronology studies in 19 classes of lesser-known aquatic taxa.
DOI: 10.6084/m9.figshare.27280485.v1
title: XRD of AlCoNi

description: XRD and HRTEM raw data of Low Energy mechanical alloying of AlCoNi<br>