cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28152551.v1
title: The GPCR antagonist PPTN synergizes with caspofunginproviding increased fungicidal activity against <i>Aspergillus fumigatus</i>

description: <br>Fungal pathogens pose a serious threat to human health with <i>Candida </i>and <i>Aspergillus</i><i> </i>spp. representing some of the most significant opportunistic invaders. <i>Aspergillus</i><i> </i><i>fumigatus</i><i> </i>causes aspergillosis, one of the most prevalent fungal diseases of humans. There is a limited number of drugs available to combat these infections, and antifungal drug resistance is on the rise. In this manuscript, we show 4 – [4 – (4 – Piperidinyl) phenyl] – 7 – [4- (-(trifluoromethyl) phenyl] – 2 -naphthalenecarboxylic acid (PPTN), a highly specific antagonist of the human P2Y14 receptor, is a promising antifungal adjuvant against diverse fungal pathogens. PPTN interacts with caspofungin (CAS), ibrexafungerp, voriconazole (VOR), and amphotericin against <i>A. </i><i>fumigatus</i><i> </i>CAS- and VOR-resistant clinical isolates, and also CAS against <i>Candida </i>spp and <i>Cryptococcus</i><i> </i><i>neoformans</i>. The combination of PPTN and CAS increase cell death in <i>A. </i><i>fumigatus</i>. In the model yeast <i>Saccharomyces cerevisiae,</i> heterozygous deletion of genes involved in chromatin remodeling results in PPTN hypersensitivity and in <i>A. </i><i>fumigatus</i> PPTN can have increased fungicidal activity when combined with the histone deacetylase inhibitor trichostatin A and the DNA methyltransferase inhibitor 5-azacytidine. Finally, PPTN has reduced toxicity to human immortalized cell lineages and partially clears <i>A. fumigatus</i> conidia infection in A549 pulmonary epithelial cells. Our results indicate that PPTN is a novel adjuvant antifungal drug against fungal diseases caused by <i>A. </i><i>fumigatus</i> and <i>Candida </i>spp.
DOI: 10.6084/m9.figshare.5123146.v1
title: Supplementary Material for: Pathobiological Implications of MUC16/CA125 Expression in Intrahepatic Cholangiocarcinoma-Mass Forming Type

description: <i>Objectives:</i> MUC16 carries the peptide epitope CA125, which is well known as a marker of ovarian cancer. High serum levels of MUC16 (CA125) have been reported not only in patients with ovarian cancer but also in patients with liver diseases. We evaluated the expression of MUC16 in intrahepatic cholangiocarcinoma-mass forming type (ICC-MF) tissues. <i>Methods:</i> We examined the expression of MUC16 by immunohistochemical analyses using the monoclonal antibody M11 in ICC-MF tissues from 63 patients. To compare the prevalence of each mucin expression by clinicopathological features, appropriate statistical analysis was performed. <i>Results:</i> MUC16 was detected in 48% of samples (30/63). After adjusting for the effects of other prognostic factors, multivariate survival analysis revealed that MUC16 expression is a significant independent factor of poor prognosis (p = 0.005). <i>Conclusion:</i> The current results indicate that MUC16 expression is a prognostic factor of poor survival in ICC-MF.
DOI: 10.6084/m9.figshare.20099219.v11
title: Source Data

description: This file contains data for figures.
DOI: 10.6084/m9.figshare.962958.v2
title: High Performance Java Platform Computing: Threads and Networking

description: High-Performance Java Platform Computing book by Thomas W. Christopher and George K. Thiruvathukal, which was published by Prentice Hall PTR and Sun Microsystems Press (2000) and is no longer in print. A revision to the book is planned but, for now, the latest work can be obtained from our Bitbucket repository. See the Links below.
DOI: 10.6084/m9.figshare.12301181.v2
title: EEG dataset for the analysis of age-related changes in motor-related cortical activity during a series of fine motor tasks performance

description: EEG signals were acquired from 20 healthy right-handed subjects performing a series of fine motor tasks cued by the audio command. The participants were divided equally into two distinct age groups: (i) 10 elderly adults (EA group, aged 55-72, 6 females); (ii) 10 young adults (YA group, aged 19-33, 3 females).<br><br>The active phase of the experimental session included sequential execution of 60 fine motor tasks - squeezing a hand into a fist after the first audio command and holding it until the second audio command (30 repetitions per hand) (see Fig.1). Duration of the audio command determined type of the motor action to be executed: 0.25s for left hand (LH) movement and 0.75s for right rand (RH) movement. The time interval between two audio signals was selected randomly in the range 4-5s for each trial. The sequence of motor tasks was randomized and the pause between tasks was also chosen randomly in the range 6-8s to exclude possible training or motor-preparation effects caused by the sequential execution of the same tasks.<br><br>Acquired EEG signals were then processed via preprocessing tools implemented in <b>MNE Python</b> package. Specifically, raw EEG signals were filtered by a Butterworth 5th order filter in the range 1-100 Hz, and by 50Hz Notch filter. Further, Independent Component Analysis (ICA) was applied to remove ocular and cardiac artifacts. Artifact-free EEG recordings were then segmented into 60 epochs according to the experimental protocol. Each epoch was 14s long, including 3s of baseline and 11s of motor-related brain activity, and time-locked to the first audio command indicating the start of motor execution. After visual inspection epochs that still contained artifacts were rejected. Finally, 15 epochs per movement type were stored for each subject.<br><br>Individual epochs for each subject are stored in the attached <b>MNE</b> .fif files. Prefix <b>EA</b> or <b>YA</b> in the name of the file identifies the age group, which subject belongs to. Postfix <b>LH</b> or <b>RH</b> in the name of the file indicates the type of motor tasks.EEG signals were acquired from 20 healthy right-handed subjects performing a series of fine motor tasks cued by the audio command. The participants were divided equally into two distinct age groups: (i) 10 elderly adults (EA group, aged 55-72, 6 females); (ii) 10 young adults (YA group, aged 19-33, 3 females).<br><br>
DOI: 10.6084/m9.figshare.21766910.v1
title: Log file of IQTREE individual ML gene trees from each loci in the 50 % complete ultraconserved elements dataset

description: Log file of IQTREE individual ML gene trees from each loci in the 50 % complete ultraconserved elements dataset
DOI: 10.6084/m9.figshare.23643555.v4
title: Movie Clip Dataset: A New Dataset for Generalised Real-World Violence Detection

description: A dataset with violent and non-violent scenes was collected from movies.
DOI: 10.6084/m9.figshare.26532040.v1
title: Data Privacy in Healthcare: Challenges and Solutions

description: This review highlights the critical importance of data privacy in healthcare, especially with the increasing digitisation of services and electronic health records (EHRs). It examines the legal, ethical, and technical challenges of protecting patient data, focusing on diverse regulatory frameworks across North America, Europe, Asia, and sub-Saharan Africa. The review underscores the urgency of addressing these issues to prevent unauthorised access, breaches, and privacy violations, emphasising the need for immediate and effective action to safeguard patient data globally.
DOI: 10.21942/uva.9168296.v1
title: Supplementary Electronic File Online S6.1

description: <b>Supplementary Dataset 1: </b>Metrics and Genbank accession numbers on the obtained metagenome-assembled genomes (MAGs). The total size of the MAG (Mb), the number of contains (# Contigs), the contig N50 (kb), maximum contig length (kb), estimated mean coverage, average G+C mol%, total number of 5S, 16S and 23S rRNAs, total number of tRNAs and estimated percentages of CheckM completeness (Compl), contamination (Cont) and strain heterogeneity (Str het) are given. The final given name used for the Genbank submission (NCBI organism name) was derived from the Genome Taxonomy Database (GTDP) classification according to (Parks et al. 2018) and where possible verified with the 16S rRNA gene classification according to the SILVA database (see column “Proposed name (GTDB)”). For the latter, BLAST results are reported: taxonomy of the best hit, identity with this best hit (%), e-value of the match, the length of the query (number of nucleotides) and the coverage with the hit (%).
DOI: 10.17605/osf.io/3d72k
title: Exploring the Role of Emotions in Moral Education: Effects of Student and Teacher Emotions on Learning Outcomes

description: This experiment primarily explores the role of teacher and student emotions in moral education, focusing on how teachers' emotional expression styles (explicit vs. implicit) and students' emotional states during the learning process (happiness, neutrality, or rational sadness) influence learning outcomes across three dimensions: perception, memory, and value identification. A total of 72 undergraduate students participated in the experiment. Data were primarily collected on students' pre-experiment emotions, induced experimental emotions, post-induction (classroom emotions), post-class emotions, students' evaluations of teachers' emotional expressions, pre- and post-questionnaire scores, as well as perception and memory performance during classroom tests.
DOI: 10.17632/nvcc595t2b
title: ComDMFT v.2.0: Fully self-consistent ab initio GW+EDMFT for the electronic structure of correlated quantum materials

description: ComDMFT is a parallel computational package designed to study the electronic structure of correlated quantum materials from first principles. Our approach is based on the combination of first-principles methods and dynamical mean field theories. In version 2.0, we implemented fully-diagrammatic GW+EDMFT from first-principles self-consistently. In this approach, correlated electrons are treated within full GW+EDMFT and the rest are treated within full-GW, seamlessly. This implementation enables the electronic structure calculation of quantum materials with weak, intermediate, and strong electron correlation without prior knowledge of the degree of electron correlation.
DOI: 10.6084/m9.figshare.19078337.v1
title: Data for Lallensack & Falkingham 2022: A new method to calculate limb phase from trackways

description: Datasets for:<br>Lallensack, J.N., and Falkingham, P.L. (2022): A new method to calculate limb phase from trackways reveals gaits of sauropod dinosaurs. Current Biology 32, 1–6, https://doi.org/10.1016/j.cub.2022.02.012<br>1) Mammal data and results (zip-file)Contains: Gait analyses of 31 trackways and trackway sections of modern mammals. For each trackway, footfall coordinates and graphical outputs of the gait analysis are provided.<br>2) Sauropod data and results (zip-file)Contains the footfall coordinates and graphical outputs of the gait analysis for the analysed sauropod trackways from the De Queens Formation, Arkansas, US.<br>3) R-scripts that implement the presented algorithms for the calculation of limb phase from trackways. See readme.txt for detailed step-by-step instructions.<br>
DOI: 10.6084/m9.figshare.25244392.v1
title: Data and code needed to reproduce "The influence of geographic ranges, climatic niches, and temperature fluctuations on population variability"

description: Data and code to reproduce "The influence of geographic ranges, climatic niches, and temperature fluctuations on population variability"Please, cite the appropriate data sources if using any of the data below.<br>The analyses_tencatenPRSB.r file has the code needed to reproduce the analyses and figures present in the manuscript. The functions_tencatenPRSB.r file has the functions needed to run the code in the analyses_tencatenPRSB.r file.Resident_ranges.zip has the birdLife expert geographic range shape files for the species considered in our study. This file needs to be extracted in order to be able to import geographic ranges.BBS_Phylo.nex has the phylogeny obtained from Jetz et al. (2012) used in our study.BBS_Traits.csv has the body size and dispersal traits from the AVONET database (Tobias et al. 2022) for the species used in our study.ChelseaCV.tif and ChelseaequalCV.tif are the rasters with temperature variability that were estimated from the CHELSA database (Karger et al. 2017) for conformal and Behrmann's equal area projections respectively.Bio_PCA.tif and Bio_PCA_equal.tif are the rasters with the two first axes of the PCA of the 19 bioclimatic variables available in CHELSA (Karger et al. 2017) for conformal and Behrmann's equal area projections respectively.aaw1313_data_s1.xlsx table with data used to obtain information on which species sampled by BBS that are resident. This table is available in the supporting information of Rosenberg et al. (2019)<br>Jetz, W., Thomas, G. H., Joy, J. B., Hartmann, K., & Mooers, A. O. (2012). The global diversity of birds in space and time. <i>Nature</i>, <i>491</i>(7424), 444-448.Karger, D. N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., ... & Kessler, M. (2017). Climatologies at high resolution for the earth’s land surface areas. <i>Scientific data</i>, <i>4</i>(1), 1-20.Rosenberg, K. V., Dokter, A. M., Blancher, P. J., Sauer, J. R., Smith, A. C., Smith, P. A., ... & Marra, P. P. (2019). Decline of the North American avifauna. <i>Science</i>, <i>366</i>(6461), 120-124.Tobias, J. A., Sheard, C., Pigot, A. L., Devenish, A. J., Yang, J., Sayol, F., ... & Schleuning, M. (2022). AVONET: morphological, ecological and geographical data for all birds. <i>Ecology Letters</i>, <i>25</i>(3), 581-597.<br>
DOI: 10.6084/m9.figshare.28489340.v2
title: AIMS.au Dataset

description: This project includes the dataset in DeepLake format, along with the metadata and annotation specifications associated with its publication AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements. The dataset comprises 5,731 modern slavery statements sourced from the Australian Modern Slavery Register, annotated sentence by sentence by human annotators and domain experts. It was developed to aid in the evaluation and refinement of LLMs for analyzing corporate statements regarding modern slavery.More information can be found on the projects' GitHub page or official website.
DOI: 10.17632/gfxtgzp4kp
title: WiFi Shore-to-vessel communications dataset

description: Aquatic environments impose challenging conditions for signal propagation, impairing ubiquitous connectivity between (IoT) nodes resulting in degraded application performance. This dataset gathers information on the channel characteristics at 2.4 GHz between an Autonomous Underwater Vessel (AUV) and two shore nodes [termed Manta and DMU] (shore-to-vessel communications) operating overwater. The measurement campaign was conducted during the flooding period in the Port of Leixões, Matosinhos, Portugal, behind a coastal breakwater during July 2021.

Additional details on the data gathering procedure and a complete data description are provided in the following papers:
- Pedro M. d'Orey, Miguel Gutiérrez Gaitán, Pedro M. Santos, Manuel Ribeiro, João B. Sousa, Luís Almeida, Empirical evaluation of short-range wifi vessel-to-shore overwater communications, ACM Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization (WiNTECH'22), pp. 77–84, Oct 2022, https://doi.org/10.1145/3556564.3558240
- Pedro M. d’Orey, Miguel Gutiérrez Gaitán, Pedro M. Santos, Manuel Ribeiro, João Borges de Sousa, Luís Almeida, Assessing Short-range Shore-to-Shore (S2S) and Shore-to-Vessel (S2V) WiFi Communications,
Computer Networks, Vol. 249, 110505, 2024, https://doi.org/10.1016/j.comnet.2024.110505.
DOI: 10.6084/m9.figshare.19619895.v1
title: Data and R script for: Norin T. Growth and mortality as causes of variation in metabolic scaling among taxa and taxonomic levels. Integrative and Comparative Biology.

description: A description of the data is in the 'Readme' text file.
DOI: 10.6084/m9.figshare.28578587.v1
title: Quantifying Risk in Cloud Security.pdf

description: Cloud computing has become an integral part of modern IT infrastructure, offering scalability, cost-efficiency, and accessibility. However, its adoption introduces various security risks, making it crucial for organizations to quantify these risks effectively. Risk quantification in cloud security involves assessing threats to confidentiality, integrity, and availability while implementing structured frameworks and metrics. This paper explores key security metrics such as access control violations, data encryption coverage, malware detection rates, and system uptime percentage. Furthermore, it examines established risk assessment frameworks, including the NIST Cybersecurity Framework, the Cloud Security Alliance (CSA) Cloud Controls Matrix (CCM), ISO/IEC 27001, and the MITRE ATT&CK framework. By analyzing these models, organizations can enhance security risk assessment, ensure regulatory compliance, and improve their cybersecurity posture. The paper concludes with best practices for quantifying and mitigating cloud security risks through automation, regular audits, and security awareness programs.
DOI: 10.6084/m9.figshare.28777013.v1
title: Supplementary Data - <b>Country’s wealth is not associated with domestic control of metal ore extraction</b>

description: <b>Country’s wealth is not associated with domestic control of metal ore extraction</b>Baptiste Andrieu<sup>a</sup>*, Karla Cervantes Barron<sup>a</sup>, Mehrnoosh Heydari<sup>a</sup>, Amir H. Keshavarzzadeh<sup>a</sup>, Jonathan Cullen<sup>a</sup>a. University of Cambridge, Department of Engineering, Trumpington Street, CB2 1PZ
DOI: 10.17632/hmdhpzzk7k
title: Data for: State Boards of Nursing Guidance to Mitigate Prescription Opioid Misuse and Diversion

description: File describing the state board of nursing website resources to mitigate opioid misuse and diversion gathered June 25, 2018 - July 23, 2018
DOI: 10.6084/m9.figshare.20054327.v2
title: QM9 dataset dictionnary with SMILES and ECFP4 connectivity score

description: JSON file of python dictionnary. Key: SMILES, value: dict {'HAC' # number of heavy atoms, 'swscore_ChEMBL' # % of ECFP4 of the molecule that belong to ChEMBL, 'swscore_ZINC' # % of ECFP4 of the molecule that belong to ZINC or ChEMBL} Only neutral singlet molecule without any atomic charges (formal or real) composed of H, C, N, O, and F.
DOI: 10.6084/m9.figshare.27800241.v1
title: Compliance of spectacle wear among school-going children in selected districts of Nepal

description: The data from this retrospective study describes compliance with spectacle use among school children in selected districts of eastern Nepal
DOI: 10.6084/m9.figshare.28921409.v1
title: Large files for SAPTyper_v1.0

description: Large files for SAPTyper_v1.0 (https://github.com/free1234hm/SAPTyper_v1.0). Please use these files to replace the files with the same names in the SAPTyper_v1.0 tool downloaded from GitHub.
DOI: 10.6084/m9.figshare.3851478.v2
title: Supplementary Tables

description: Supplementary Data for the Vineis et al, 2016 study.
DOI: 10.6084/m9.figshare.19955621.v1
title: Time sorting pitfall trap

description: Data for the TSPT methodology experiment including the diel activity of several introduced dung beetle species from Premer, NSW and Armidale, NSW from 2020-2022.
DOI: 10.6084/m9.figshare.20445849.v2
title: dataset.sav

description: <strong>Participants:</strong> Data were collected from 19 to 26 March 2022. 1530 participants (636 men) from different colleges in the southern area of China were chosen using the convenience sampling method. <strong>Measures</strong> <em><strong>Subjective socioeconomic status (subjective SES).</strong></em> The subjective SES scale containing 1 item (Adler, Epel, Castellazzo, & Ickovics, 2000) was chosen to assess the level of subjective SES in this study. <em><strong>Life satisfaction. </strong></em>The Chinese version of the Satisfaction With Life Scale (Cai, Lin, Wu, Yan, & Huang, 2008) containing 5 items, translated from the Satisfaction With Life Scale (Pavot & Diener, 1993), was chosen to assess the level of life satisfaction in this study. <em><strong>Objective socioeconomic status (objective SES).</strong></em> The objective SES scale (Lu, 2002) containing 2 items was chosen to assess the level of objective SES in this study. <em><strong>Sense of control</strong></em><em>. </em>The Chinese version of the Sense of Control Scale (Li, 2012) containing 12 items, translated from the Sense of Control Scale (Lachman & Weaver, 1998), was chosen to assess the level of sense of control in this study. <em><strong>Meaning in life.</strong></em> The Chinese version of the Meaning in Life Questionnaire (Liu & Gan, 2014) containing 9 items, translated from the Meaning in Life Questionnaire (Michael & Steger, 2002), was chosen to assess the level of meaning in life.
DOI: 10.6084/m9.figshare.27280884.v1
title: pyrrole.xyz

description: pyrrole molecule
DOI: 10.6084/m9.figshare.5513620.v2
title: How workforce migrates in China: A perspective from social media

description: Weibo Data Description:<br>Tweets of Weibo during the Spring Festival travel rush, from January 13 to February 21 in 2017 are thoroughly collected to establish the migration network of workforce at the granularity of city.<br>Basic Statistics:<br>Number of cities: 371Number of city pairs(directed): 120,361Number of city pairs(undirected): 61,759Number of all flux: 41,454,268 <br>Data Format:<br>Each line in the file(WorkforceMigrate.csv) demonstrates a 12-tuple (city1,city2,flux,gdp1,gdp2,ave_gdp1,ave_gdp2,population1,population2,geographical_distance,travel_time,travel_distance) defined to denote workforce movement from city1 to city2. Details can be found as follows.<br>1. city1: origin city id2. city2: destination city id3. flux: number of movements from city1 to city24. gdp1: GDP of city15. gdp2: GDP of city26. avg_gdp1: the per capita GDP of city17. avg_gdp2: the per capita GDP of city28. population1: the number of permanent residents in city19. population2: the number of permanent residents in city210. geographical_distance: geographical distance between city1 and city211. travel_distance: travel distance from city1 to city2 provided by Baidu Map API12. travel_time: travel time from city1 to city2 provided by Baidu Map API<br>Data Description:<br>The demographic and economic information in 2015 are collected at the granularity of province.<br><br>Province Data Format:<br>Each line in file(ProvinceInfo.csv) demonstrates a 8-tuple (province, gdp15, Information Technology Industry,Financial Industry,Real Estate Industry,Scientific Research and Technical Services Industry,income15,R&D) defined to denote the economci information of provinces. Details can be found as follows:<br>1. province: province id2. gdp15: GDP of province3. Information Technology Industry: ratio of practitioner in the information technology industry4. Financial Industry: ratio of practitioner in the Financial industry5. Real Estate Industry: ratio of practitioner in the real estate industry 6. Scientific Research and Technical Services Industry: ratio of practitioner in the scientific research and technical services industry 7. income15: per capita disposable income8. R&D: the fund investment for research and development<br>Train Data Desciption:<br>The national railway line data, including 5,878 trains in total from train schedule are collected to establish the train network at the granularity of city.<br>Basic Statistics:<br>Number of cities: 284 citiesNumber of citi pairs(undirected): 12381<br>Data Format:Each line in the file(Train.csv) demonstrate a triple (city1, city2, train_count) defined to denote trains that pass through city1 and city2. Details can be found as follows:<br>1. city1: city id2. city2: city id3. train_count: the number of trains that pass through city1 and city2<br>Any issues please feel free to contact jichang@buaa.edu.cn.