cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20058914.v1
title: Supplementary Material for: Efficacy and Safety of Multiple Dupilumab Dose Regimens in Patients with Moderate-To-Severe Atopic Dermatitis: A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials

description: <b><i>Background:</i></b> Dupilumab ameliorates the signs and symptoms of atopic dermatitis (AD) and improves the patient’s quality of life. Multiple-dose regimens of dupilumab have been applied by clinicians, but the efficacy of some regimens remains unclear. <b><i>Objectives:</i></b> The aim of the study was to systematically evaluate the efficacy and safety of multiple dupilumab dose regimens in patients with moderate-to-severe AD in terms of comprehensive outcomes. <b><i>Methods:</i></b> We searched electronic databases and subjected the selected studies to risk-of-bias assessment and network meta-analysis (NMA). Efficacy and safety outcomes were compared using a random-effects NMA to estimate pooled relative risk ratio (RR) of direct and indirect comparisons among multiple dupilumab dose regimens. The Eczema Area Severity Index, Investigator’s Global Assessment, and pruritus numerical rating scale were analyzed to assess the efficacy, while adverse events (AEs) and serious adverse events to represent the safety. <b><i>Results:</i></b> Eight randomized controlled trials involving 3,679 patients were identified. Most patients received therapy for 16 weeks. Multiple dupilumab dose regimens, including 300 mg weekly (QW), 300 mg every 2 weeks (Q2W), 200 mg Q2W, 300 mg monthly (QM), 300 mg every 2 months (Q2M), and 100 mg QM were analyzed. All regimens, except 100 mg QM, had significantly better efficacy than placebo. 300 mg QW and 300 mg Q2W appeared to have similar efficacy. Notably, both 300 mg QW and 300 mg Q2W had no significantly better efficacy than 300 mg QM. As for 300 mg Q2M, significantly reduced efficacy was noted in only one efficacy outcome when compared to 300 mg QW and 300 mg Q2W. In terms of safety outcomes, AEs occurring with any of the regimens were comparable with the placebo. No significant inconsistency was noted within the network in all efficacy outcomes. <b><i>Conclusions:</i></b> Our NMA indicated that the administration of the following dupilumab regimens was effective for patients with moderate-to-severe AD: 300 mg QW, 300 mg Q2W, 200 mg Q2W, 300 mg QM, and 300 mg Q2M. Our data can improve the understanding of the relative efficacy and safety of multiple dupilumab dose regimens, which will help in shared decision-making between clinicians and patients.
DOI: 10.6084/m9.figshare.21345939.v1
title: supp-table4-new.xlsx

description: Supplementary table 4
DOI: 10.17632/v8yy56w3m2
title: The thermal conductivity properties of porous materials based on TPMS Schwarz P, Neovius, Schoen IWP

description: The results of CAE modeling of thermal conductivity properties of porous materials based on TPMS Schwarz P, Neovius, Schoen IWP are presented. The data can be used for creating materials with pre-defined thermal conductivity characteristics. The parameter "a" represents the size of the cube in which one elementary cell is inscribed. The wall thickness characterizes the thickness of the solid layer limited by symmetrical equidistant surfaces from the original TPMS. The results are presented for porous materials with air inside the inter-pore space as well as for the structure in a vacuum (without considering air in the inter-pore space).
DOI: 10.6084/m9.figshare.20488590.v4
title: List of Question and Descriptions of the questionnaire of Awareness and Intention to Register Halal Certification [version 2]

description: Halal awareness is the gate for obtaining halal certificates which is guarantee that the product is lawful following Islamic sharia. However, most of the food sold on the market does not have a halal certificate due to the entrepreneur's halal awareness and intention problems. The level of halal awareness and the intention of food MSE entrepreneurs to register halal certificates should be measured. A set of questionnaires is distributed electronically due to the COVID-19 pandemic outbreak.<br> This file contains of a copy of the online questionnaire that was distributed to respondents. We used a structured questionnaire adapted from previous research to collect data: Giyanti <em>et.al</em>.(2019), Waluyo (2013), Ambali and Bakar (2013), Abdul (2014), Ngah (2014), Abdul <em>et al</em>. (2013), Menteri Hukum dan HAM (2014)
DOI: 10.6084/m9.figshare.29168552.v1
title: YAHPO Gym v1 raw data for surrogates

description: Raw data used to train surrogate models in YAHPO Gym (v1): https://github.com/slds-lmu/yahpo_gymSee also the paper: YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization
DOI: 10.6084/m9.figshare.8396897.v1
title: Cernansky and Syromyatnikova Psammodromus algirus NHMW 36038-2

description: The CT data of Psammodromus algirus NHMW 36038-2 from Čerňanský and Syromyatnikova Plos One. It can be open by winrar and volume graphics. <br>
DOI: 10.17632/vnnzc7n97m
title: Dataset: Deep learning the sound of boiling for advance prediction of boiling crisis

description: This dataset contains the raw audio files and the MATLAB codes for classification of the various boiling regimes including the advance prediction of the critical heat flux.
DOI: 10.6084/m9.figshare.22672030.v2
title: Stratigraphic record of tectonic and climatic impact on orogenic growth: An example from the Hexi Corridor Basin, NE Tibetan Plateau

description: The detailed zircon age and heavy mineral datasets of MH drill core and potential source area samples
DOI: 10.6084/m9.figshare.26159971.v1
title: Tettigoniidae_LibraySat

description: Tettigoniidae satellite DNA Library
DOI: 10.17632/srj39jth9h
title: Dataset on Protein Content and Anti-nutritional Factors in Pigeon Pea and Effect of Its Protein Isolate on Physical Properties and Consumer Preference of Beef Sausages

description: This Data in Brief article provides six tables, one figures, and their raw data (as supplementary material). Table 1 presents the protein contents of pigeon pea varieties and protein isolates that correspond to raw data (S1). Table 2 presents the variation of anti-nutritional factors between pigeon pea varieties which corresponds to raw data (S 2, S 3, S 4 and S 5). Furthermore, Tables 3 and 4 present a respective texture profile of sausage formulations and water solubility index of sausage samples developed using phosphate binder and pea protein isolate. Figure 1 presents a relationship between physical properties and sausage formulations. Tables 3, 4 and Figure 1 correspond to raw data (S 6, S 7, S 8, S 9 and S 10). Table 5 presents the Friedman rank sum test of sausage samples showing consumer preferences that correspond to raw data (S 11).
DOI: 10.6084/m9.figshare.12661994.v1
title: SOEC plants 2015-2022

description: List of operating and announced SOEC plants, 2015-2022
DOI: 10.6084/m9.figshare.27133965.v3
title: 2015 - 2020 pollutant site monitoring data

description: PM O3 SO2 NO2 CO
DOI: 10.6084/m9.figshare.28746656.v1
title: raw-data.xlsx

description: The raw data of this manuscript "<i>Impact of online negative and positive reviews on App Innovation"</i>
DOI: 10.6084/m9.figshare.29148320.v1
title: Data supporting

description: Data supporting for Impact of Combined Carrier Agents on the Quality and Aroma Profile of Freeze-Dried Cold Brew Coffee
DOI: 10.17632/6j6m4wtc26
title: Data for: Diatom genes originating from red and green algae: implications for the secondary endosymbiosis models

description: A dataset used for establishing whether diatom genes are closer to red algae or green ones. Based on genomes of P. tricornutum, Th. pseudonana, S. acus subsp. radians, F. solaris, F. cylindrus and P.-n. multiseries, as well as all available diatom transcriptomes from MMETSP. The dataset includes ML and UPGMA trees, Likelihood mapping raw data, alignments used for the above and the results of DIAMOND search of diatom predicted proteins against NCBI nr.
DOI: 10.6084/m9.figshare.24647883.v1
title: COVID-19 vaccine sentiment on Twitter

description: From 24 January to 31 July in 2021, we collected data that anyone can view on Twitter by using the free Twitter API. By using the keywords “vaccine”, “vaccination”, “vaccinated”, “vaxxer”, “vaxxers”, “#CovidVaccine”, “covid denier”, “pfizer”, “moderna”, “astra” and “zeneca”, “sinopharm”, “sputnik”, we collected 33K tweets published by popular Twitter accounts. For each tweet, the following variables were recorded: their author (user ID), the author's categorization (healthcare professional, news media source, other accounts with thousands of followers), the date of publication (to the precision of seconds), the vaccine mentioned, the language, and the general sentiment of the tweet text on a scale from 1 to 5. For multilingual sentiment analysis, we used an open-source BERT model from Huggingface (https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment). When multiple vaccines are mentioned in a tweet, in our data, it is recorded as multiple tweets, one for each vaccine.<br><br>To uphold the privacy policy for publishing Twitter data, the tweet texts, as well as the original user identifiers for the authors of the tweets, are not disclosed. Instead, we encoded the user information with random integers. To access the complete content of these tweets, researchers may utilize the Twitter search API by referencing the provided tweet identifiers.
DOI: 10.6084/m9.figshare.28477127.v1
title: Q-switched Mode-locking in Er:ZBLAN fiber lasers using Carbon Nanotube saturable absorber and GaAs-based SESAM

description: The data compares the Q-switched mode-locking regime implemented in an Er-doped fluoride fibre laser cavity using a carbon nanotube saturable absorber and SESAM.
DOI: 10.6084/m9.figshare.5097274.v1
title: Data File from Hierarchical complexity and the size limits of life

description: Size (cubic mm) and complexity level for all taxa used in this study
DOI: 10.17632/ky2vybch4z
title: Dataset for statistical analyses 

description: Dataset for manuscript "Similar behavioural but different endocrine responses to conspecific interactions in hand-raised wolves and dogs"
DOI: 10.6084/m9.figshare.24657801.v1
title: VCF files of single individual SV merging using PanPop and other SV merger using <i>A. thaliana</i> simulated dataset.

description: VCF files of single individual SV merging using PanPop and other SV merger for <i>A. thaliana</i> simulated dataset.
DOI: 10.6084/m9.figshare.6837926.v1
title: Arabidopsis Developmental Map

description: SVG assets used to visually represent microarray gene expression data by Schmid et al., 2005 and Nakabayashi et al., 2005 in ePlant and eFP Browser.
DOI: 10.6084/m9.figshare.16590384.v1
title: Additional file 1 of Generation of multicellular spatiotemporal models of population dynamics from ordinary differential equations, with applications in viral infection

description: Additional file 1. CompuCell3D scripts and Datasets generated and analyzed.
DOI: 10.6084/m9.figshare.27324344.v1
title: Clinical potential of epigenetic and microRNA biomarkers in PTSD

description: Molecular studies identifying alterations associated with PTSD have predominantly focused on candidate genes or conducted genome-wide analyses, often encountering issues with replicability. This review aims to identify robust bi-directional epigenetic and microRNA (miRNA) regulators focusing on their functional impacts on post-traumatic stress disorder (PTSD) and their utility in clinical diagnosis, whilst examining knowledge gaps in the existing research. A systematic search was conducted across multiple databases, including Web of Science, Scopus, Global Health (CABI), and PubMed, augmented by grey literature, yielding 3465 potential articles. Ultimately, 92 studies met the inclusion criteria and were analysed to pinpoint significant epigenetic changes with clinically relevant potential in PTSD. The selected studies explored histone modifications, CpG sites, single nucleotide polymorphisms (SNPs), and miRNA biomarkers. Specifically, nine studies examined epigenetic markers, detailing the influence of methylation on chromatin accessibility at histone positions H3K4, H3K9, and H3K36 within a PTSD context. Seventy-three studies investigated DNA methylation, identifying 20 hypermethylated and five hypomethylated CpG islands consistently observed in PTSD participants. Nineteen studies linked 88 SNPs to PTSD, with only one SNP replicated within these studies. Furthermore, sixteen studies focused on miRNAs, with findings indicating 194 downregulated and 24 upregulated miRNAs were associated with PTSD. Although there are epigenetic mechanisms that are significantly affected by PTSD, a granular deconstruction of these mechanisms elucidates the need to incorporate more nuanced approaches to identifying the factors that contribute to PTSD. Technological advances in diagnostic tools are driving the need to integrate detailed participant characteristics, trauma type, genetic susceptibilities, and best practices for robust reporting. This comprehensive approach will be crucial for enhancing the translational potential of PTSD research for clinical application.
DOI: 10.6084/m9.figshare.6633506.v1
title: E. coli predictions

description: About this dataset: These are the most reliable 40,000 PPI predictions for E. Coli. It is a CSV file.<br>Motivation: Protein-protein interactions (PPIs) play a key role in many cellular processes. Most annotations of PPIs mix experimental and computational data. The mix optimizes coverage, but obfuscates the annotation origin. Some resources excel at focusing on reliable experimental data. Here, we focused on new pairs of interacting proteins for several model organisms based solely on sequence-based prediction methods. <br>Results: We extracted reliable experimental data about which proteins interact (binary) for eight diverse model organisms from public databases, namely from Escherichia coli, Schizosaccharomyces pombe, Plasmodium falciparum, Drosophila melanogaster, Caenorhabditis elegans, Mus musculus, Rattus norvegicus, Arabidopsis thaliana, and for the previously used Homo sapiens and Saccharomyces cerevisiae. Those data were the base to develop a PPI prediction method for each model organism. The method used evolutionary information through a profile-kernel Support Vector Machine (SVM). With the resulting eight models, we predicted all possible protein pairs in each organism and made the top predictions available through a web application. Almost all of the PPIs made available were predicted between proteins that have not been observed in any interaction, in particular for less well-studied organisms. Thus, our work complements existing resources and is particularly helpful for designing experiments because of its uniqueness. Experimental annotations and computational predictions are strongly influenced by the fact that some proteins have many partners and others few. To optimize machine learning, the newly methods explicitly ignored such a network-structure. This might be another strength of our approach. The database interface representing our results is accessible from https://rostlab.org/services/ppipair/. <br>Please cite us when you are using this data:<pre>@article{tran2018profppidb, title={ProfPPIdb: pairs of physical protein-protein interactions predicted for entire proteomes}, author={Tran, Linh and Hamp, Tobias and Rost, Burkhard}, journal={bioRxiv}, pages={332510}, year={2018}, publisher={Cold Spring Harbor Laboratory} }</pre>
DOI: 10.6084/m9.figshare.7722905.v1
title: RELISH_v1

description: This first release of RELISH-DB contains annotation data for 3,278 seed-articles. Record fields include a unique identifier (uid), PubMedID of the seed-article (pmid), annotator experience level (experience), whether the annotator was an anonymous or registered user (is_anonymous) and annotator response (response) containing the lists of candidate-article PubMedIDs corresponding to the assigned degree of relevance (i.e. one of relevant, partial (somewhat-relevant) or irrelevant).
DOI: 10.17608/k6.auckland.5483641.v1
title: 2015 BFI survey data

description: This data is the 2015 Graduate Attributes Profile data restricted to the Big Five Inventory 10-item (BFI10) variables.
DOI: 10.17632/3fjsc6y4n4
title: Immunotherapy for EGFR Mutated Lung Cancer

description: Patients with non-small cell lung cancer (NSCLC) harboring epidermal growth factor receptor ‎‎(EGFR) mutations face poor outcomes after progression on tyrosine kinase inhibitors (TKIs). ‎The efficacy of immune checkpoint inhibitors (ICIs) combined with chemotherapy in these ‎patients remains uncertain. ‎Therefore, we performed this meta-analysis.
DOI: 10.17632/5x68fv63sh
title: Linux-APT-Dataset-2024

description: A novel dataset "Linux-APT-Dataset-2024” that includes the Tactics, Techniques and Procedure (TTPs) of APT attacks in Linux environment. There are two files one is 'combine.csv' and other is 'Processed Version.xlsx' both includes 17 files ranging from 01st October 2023 to 07 January 2024 and each of the file contains all the essential data fields. These 17 files can be found in the below link.

Karim, S. (2024). Linux-APT-Dataset-2024 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10685642

1. combine.csv is the raw file that is a merger of all the 17 files extracted from SIEM 'WAZUH' after the simulation of latest attacks in the environment. Due to SIEM's 'WAZUH' limitation to produce files with more than 10,000 records, all of the files are combined that could be used as input for other analyses.

2. Processed Version.xlsx is the compiled version of combine.csv, the file extension is changed to xlsx because of the support available in most of the system, also Tactics and Techniques are separated for convenience of different researchers. It is also tagged with General and Malicious, if the value is 1 means it is suspicious/malicious, otherwise 0 for General/Normal log.

Regarding dataset, it contains both type of activities/logs general as well as malicious/suspicious to make the dataset near real-time for better analysis and evaluation. It will be more productive if the cybersecurity framework considered for mapping the TTP is MITRE. The simulated attacks includes all the privilege escalation payloads for Linux, recently discovered CVEs, emulations of key-loggers and APTs like APT41, APT28, APT29, Turla. An effective way to make the log/records whether it is general or suspicious is to filter the log if it is TTP tagged, that means it's suspicious/malicious otherwise it is considered as general. While developing the dataset we have The dataset is also useful for analysing all the critical log resources in the Linux environment that could be considered while performing forensics activity.
DOI: 10.17632/t3v58wgyzt
title: Data for the article: Can a boost in oil prices suspend the evolution of the green transportation market? Relationships between green indices and Brent oil (Agata Kliber, Blanka Łęt, Pavel Řezáč)

description: The file "fuels.txt" includes daily data for Brent futures (BrentF) and spot (BrentS) prices obtained from nasdaq.com database and three NASDAQ indices:

1) NASDAQ OMX Bio/Clean Fuels Index (GRNBIO). Source: {https://indexes.nasdaqomx.com/Index/Overview/GRNBIO}
2) NASDAQ OMX Fuel Cell Index (GRNFUEL). Source:{https://indexes.nasdaqomx.com/Index/Overview/GRNFUEL}
3) NASDAQ OMX Transportation Index (GRNTRN). Source: {https://indexes.nasdaqomx.com/Index/Overview/GRNTRN}

The file "fundamentals.txt" includes monthly data for the following variables:

1) WIP: world industrial production index collected from:{https://sites.google.com/site/cjsbaumeister/datasets?authuser=0}
2) COMM: real commodity price factor - obtained from {https://sites.google.com/site/cjsbaumeister/datasets?authuser=0};
3) GECON: global economic condition indicator (standardised) - obtained from {https://sites.google.com/site/cjsbaumeister/datasets?authuser=0};
4) S.SH: oil supply shock - obtained from {https://sites.google.com/site/cjsbaumeister/datasets?authuser=0}; 
5) OCDSH: oil consumption demand - obtained from {https://sites.google.com/site/cjsbaumeister/datasets?authuser=0}; 
6) OIDSH: oil inventory demand- obtained from {https://sites.google.com/site/cjsbaumeister/datasets?authuser=0}; 
7) EASH: oil demand shocks driven by global economic activity - obtained from {https://sites.google.com/site/cjsbaumeister/datasets?authuser=0}; 
8) GEPU: global economic policy uncertainty index - , a normalised index of the volume of news articles discussing economic policy uncertainty; due to the nonstationarity of the data, obtained from: {https://www.policyuncertainty.com/global_monthly.html}
9) EXPT: Brent spot prices expectations formulated by the U.S. Energy Information Association; 
10) SPX - end-of-month data of S&P500
11) SPECUL1: Net position of Money Managers (long-short) for Brent contract - based on the ICE Futures Europe Commitments of Traders Reports ({www.ice.com/marketdata/reports/122});
12) SPECUL2: Speculation measure analogous to Working's (1960) index, which measures the speculative activity of non-commercial traders in the crude oil market.
DOI: 10.6084/m9.figshare.22351267.v1
title: Coastal GHG data base (Rosentreter et al. 2023) Nature Climate Change

description: This database consists of CO2, CH4, and N2O fluxes compiled from the literature for estuaries (tidal systems and deltas, lagoons, fjords) and coastal vegetation (mangroves, slat marshes, seagrasses).
DOI: 10.6084/m9.figshare.24534188.v1
title: Supp. Data File 2 from The African mosquito-borne diseasosome: geographical patterns, range expansion and future disease emergence

description: African mosquito-borne pathogens: Acronym, taxonomical affiliation, transmission mode, and distribution by country, with references
DOI: 10.6084/m9.figshare.4212837.v1
title: Tadarida-FULL

description: Passive Acoustic Monitoring (PAM) recently extended to a very wide range of animals, but no available open software has been sufficiently generic to automatically treat several taxonomic groups. Here we present Tadarida, a software toolbox allowing for the detection and labelling of recorded sound events, and to build an automatic classifier to sort any new acoustic data into known classes. It is made up of three modules handling Detection, Labelling and Classification and running on either Linux or Windows. This generic, modular and interoperable design opens numerous reuse opportunities among (bio)acoustics researchers. The whole toolbox is openly developed in C++ (Detection and Labelling) and R (Classification) and stored at https://github.com/YvesBas.
DOI: 10.6084/m9.figshare.7264733.v1
title: Patent Database

description: SQLite datanbase file containing patents crawled at google.patents
DOI: 10.17605/osf.io/um4tx
title: Technical Fouls as a Trigger of Momentum Change: Analysis of Two Decades of NBA Data

description: Data for the study collected from the NBA's official website
DOI: 10.17632/53f995z8dp
title: Growing seismicity in the Sichuan Basin and its association with industrial activities

description: The data set contains following four files used in Lei X, Su J, Wang Z. 2020. Growing seismicity in the Sichuan Basin and its association with industrial activities. Science China Earth Sciences, 63, https://doi.org/10.1007/s11430-020-9646-x. 1) "CMT_Weiyuan_CAP.cmt" for centroid moment tensors. 2) "hypoDD_Weiyuan_2019-202003_m1.2.reloc" for relocated catalogue of earthquakes in Weiyuan shale gas site. 3) "hypoDD_WeiyuanEast_2019-202003_m1.5.reloc" for relocated catalogue of earthquakes in Weiyuan shale gas site (east sub block). 4) "hypoDD_WeiyuanWest_2019-202003_m1.5.reloc" for relocated catalogue of earthquakes in Weiyuan shale gas site (east sub block).