cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7332866.v1
title: Supplementary Material for: Global mRNA and Long Non-Coding RNA Expression in the Placenta and White Adipose Tissue of Mice Fed a High-Fat Diet During Pregnancy

description: <b><i>Background/Aims:</i></b> Gestational diabetes mellitus (GDM) is a common complication of pregnancy, but the mechanisms underlying the disorders remain unclear. The study aimed to identify mRNA and long non-coding RNA (lncRNA) profiles in placenta and gonadal fat of pregnant mice fed a high-fat diet and to investigate the transcripts and pathways involved in the development of gestational diabetes mellitus. <b><i>Methods:</i></b> Deep and broad transcriptome profiling was performed to assess the expression of mRNAs and lncRNAs in placenta and gonadal fat from 3 mice fed an HFD and chow during pregnancy. Then, differentially expressed mRNAs and lncRNAs were validated by quantitative real-time PCR. The function of the differentially expressed mRNAs was determined by pathway and Gene Ontology (GO) analyses, and the physical or functional relationships between the lncRNAs and the corresponding mRNAs were determined. <b><i>Results:</i></b> Our study revealed that 82 mRNAs and 52 lncRNAs were differentially expressed in the placenta of mice fed an HFD during pregnancy, and 202 mRNAs and 120 lncRNAs were differentially expressed in gonadal fat. GO and Kyoto Encyclopedia of Genes and Genomes pathway analyses revealed differentially expressed mRNAs of placenta were closely related to extracellular matrix interactions, digestion, adhesion, and metabolism, whereas the differentially expressed mRNAs in adipose tissue were related to metabolic and insulin signalling pathways. The gene network demonstrated that Actg2, Cnfn, Muc16, Serpina3k, NONMMUT068202, and NONMMUT068203, were the core of the network in placental tissue, and the genes <i>Tkt</i>, <i>Acss2</i>, and <i>Elovl6</i> served as the core of the network in gonadal fat tissue. <b><i>Conclusion:</i></b> These newly identified key genes and pathways in mice might provide valuable information regarding the pathogenesis of GDM and might be used to improve early diagnosis, prevention, drug design, and clinical treatment.
DOI: 10.17632/2fzwjty3jc
title: Underlying Nutritional Life Cycle Assessment (nLCA) inventory data applicable to an Indonesian case study of the Nutritional Value Score (NVS)

description: The Excel file presented here provides metadata as well as explanatory notes for a study which explores the nexus of environmental impacts and nutritional provision (and quality) for staple foods commonly consumed in Indonesia. The dataset herein offers complete transparency of, e.g., processes used (or indeed adapted) from widely used Life Cycle Assessment databases such as Agri-footprint and Ecoinvent, as well as assumptions made related to cooking yields, waste streams, packaging used, data quality, and normalised scores to provide viewers with a visual reference to which foods' supply chain stages are most impactful, thus complementing both an original research article and a data article which this dataset will be linked to via DOI citations. Please see the notes tab in the attached for more information.
DOI: 10.17632/8vnk82rm44
title: fault detection and prevention in control systems

description: This dataset includes all source code that I used to simulate my project.
DOI: 10.17632/h38nhgcpgk
title: Mirai_Based_DDOS_Dataset

description: This dataset was prepared by converting raw network data from PCAP format to CSV. It is extracted, labeled to classify Mirai-based DDOS attack and the normal from a recorded IoT Network Intrusion dataset using different machine learning models.  According to Kang  [19] referenced in our article, the PCAP dataset may be classified into two categories: normal and Mirai botnet-related attacks (SYN Flooding, ACK Flooding, HTTP Flooding, UDP Flooding, Brute Forcing ARP Spoofing, and scanning attacks).  To prepare this dataset in a suitable form for applying machine learning we used only the SYN Flooding, ACK Flooding, and HTTP Flooding categories as Mirai-based DDOS attack and Normal packets from the above-given dataset.
The developed extractor tool analyses the contents of PCAP files and generates a number of features as a result.  It created a total of 16 features, including the category/level, and their full descriptions are listed below:

No. 	                    Feature Name	                             Description of the feature
1                            IP src	                                            Source IP address
2                            IP dst	                                            Destination IP address
3	                      Iflags	                                            IP flags
4	                     Tflags	                                            TCP flags
5	                     Sport	                                            Source port number
6	                     Dport	                                           Destination port number
7	                     Frag	                                           IP fragment
8	                    Ttl	                                           IP ttl
9	                   Ichksum	                                   IP checksum
10	                   Len	                                           IP length
11	                   Ack	                                          TCP acknowledgment
12	                  Dataofs	                                           TCP Dataofs
13	                  Seq	                                           TCP Sequence
14	                  Window	                                           TCP window size
15	                  Tchksum	                                   TCP checksum
16	                  Label	                                           Category of the data (Normal/DDOS)
After converting the PCAP file into CSV format using our extractor tool the total number of records are 287,230 among it 150742 records are DDOS attacks and 136488 records are normal. We confirm the validity of new generated dataset's by applying different five supervised machine learning models.
DOI: 10.17632/zmzkc2fxvp
title: ISOTONIC EXERCISE PROVOKES GREATER THERMAL TENDINOUS STRESS THAN ISOMETRIC EXERCISE INDEPENDENT OF PHOTOBIOMODULATION

description: This is an experimental, randomized, single-blind study. A total of 32 healthy, physically active volunteers were randomly assigned to one of two independent groups who performed isometric (GISM, N=16, 8 Males/8 Females) or isotonic (GIST, N=16, 8 Males/8 Females) exercise protocols for the Sural Triceps preceded by the application of real PBM and Sham with a one-week washout. The subjects were evaluated by infrared thermography (IT), isometric muscle strength (IMS), pain and rating of perceived exertion (RPE), before, during and after performing the experimental protocols.
DOI: 10.6084/m9.figshare.27281403.v2
title: <b>​Support Data for</b><b> </b><b>Taxonomic Identification of Human Gut Microbiota</b>

description: To better utilize the V3-V4 ASVs database and flexible classification thresholds, we developed the asvtax analysis pipeline. This pipeline allows for classification based on flexible thresholds, significantly enhancing the accuracy of taxonomic identification, particularly for the classification of new ASVs.
DOI: 10.6084/m9.figshare.29031077.v1
title: GARCH_MIDAS_Data.xlsx

description: South African investor sentiment and macroeconomic data
DOI: 10.17632/czf5tpzt7z
title: Spectral: Solving Schroedinger and Wheeler–DeWitt equations in the positive semi-axis by the spectral method

description: Abstract The Galerkin spectral method can be used for approximate calculation of eigenvalues and eigenfunctions of unidimensional Schroedinger-like equations such as the Wheeler–DeWitt equation. The criteria most commonly employed for checking the accuracy of results is the conservation of norm of the wave function, but some other criteria might be used, such as the orthogonality of eigenfunctions and the variation of the spectrum with varying computational parameters, e.g. the number of basis functio... Title of program: Spectral Catalogue Id: AEQQ_v1_0 Nature of problem Numerical solution of Schrödinger-like eigenvalue equations (specially, the Wheeler-DeWitt equation) in the positive semi-axis. Versions of this program held in the CPC repository in Mendeley Data AEQQ_v1_0; Spectral; 10.1016/j.cpc.2013.09.007 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/r3tb2bdr7s
title: LWD breakout data from hydrocarbon fields in the Norwegian North Sea

description: The data originates from LWD measurements (images, average caliper, and annulus pressure) conducted during the drilling of hydrocarbon wells in the Norwegian North Sea (data from the following fields are covered in the data set: Oseberg, Rolvsnes, Troll, and Valhall). The raw data of these LWD measurements can be obtained from the Diskos Well Database of the Norwegian Petroleum Directorate (https://www.npd.no/en/diskos/wells/). The data was used to analyze the relationship between drilling-related processes (e.g. tripping operations or shutting off the mud pumps) and the occurrence of borehole breakouts.

The first data set ("Overview_Breakout_Data.xlsx") gives comprehensive information about the breakouts identified in image logs. This includes information on the fields and wells the breakouts were obtained from.   Additionally, information on the breakout geometry (depth extent, width, orientation), the number of tripping operations and pump shut-off events, and related pressure changes are given. In total, the data set includes information on 179 breakouts selected from data originating from ten wells in 4 hydrocarbon fields.

The second data set ("Data_Trips_Connections.xlsx") contains summarized information on the amount of tripping operations and pump shut-off events within and outside of breakouts. Furthermore, normalized information on the frequency of their occurrence is given (i.e. tripping operations per 100 m measured depth).
DOI: 10.17632/vp5yk9y2n4
title: Laguna Maravillas and Lake Yalahau XRF geochemistry data

description: Full XRF-derived geochemical datasets for the Laguna Maravillas (Campeche, Mexico) and Lake Yalahau (Yucatán, Mexico) sediment cores
DOI: 10.6084/m9.figshare.19299821.v1
title: 【DATA】Online Photography Intervention Reduces Internet Addiction During COVID-19

description: Raw data .sav format file and analysis syntax .sps format file for study named Online Photography Intervention Reduces Internet Addiction During the COVID-19 Pandemic: A Randomized Controlled Trial
DOI: 10.6084/m9.figshare.24460741.v1
title: Kneeling Isometric Plantar Flexor Test Peak Force Data.xlsx

description: This spreadsheet contains anonymised peak force data for the kneeling isometric plantar flexor test (KIPFT).The data were collected on Hawkin Dynamics force plates and analysed by their software. Here is the link to the Hawkin Dynamics metric database that explains how peak force was measured: https://www.hawkindynamics.com/hawkin-metric-databaseEthics approval was granted from the author's institution and informed consent was provided by each player for their anonymised data to be uploaded to this repository for research use.This data was used for the following published study: https://www.mdpi.com/2411-5142/8/4/164.
DOI: 10.6084/m9.figshare.25761951.v1
title: Lagodon rhomboides genome assembly and annotation files

description: This FigShare Project contains the assembly and annotation files associated with the pinfish (Lagodon rhomboides) genome. A summary of the contents of each file is given below.Lrhomboides_complete_MAKER_annotation.gff.gz: Full GFF output of final MAKER annotation. Putative genes are assigned names but have no description or information.all_annotations.csv: Table of gene names and descriptions for genes detected by MAKER, resulting from BLAST searches against databases of known genes from close relatives. This gives (putative) functional information for genes in the pinfish genome, which can be matched with their positional info from the GFF file.Lrhomboides_genome.fa: Full genome assembly in fasta format (can also be found on NCBI under genome assembly accession number JBBNBP000000000). Lrhomboides_proteins.fa: Fasta file containing protein sequences for annotated genes in the pinfish genome.Lrhomboides_transcripts.fa: Fasta file containing sequences for transcripts annotated from the pinfish genome.
DOI: 10.17632/4vkrzxjtwf
title: Oldenburg Burnout Inventory-IRT analysis

description: The Oldenburg Burnout Inventory (OLBI) assesses two subscales from measuring work-related syndromes of exhaustion and disengagement. In the present study, an item response theory approach was used to analyze all items of the measure. The participants were employees, occupied in various organizations in Greece (N = 617). Partial credit and generalized partial credit models were estimated for each subscale and a bifactor model was applied to the OLBI. The results revealed dimensionality issues for both subscales. Item discrimination and category threshold parameters revealed variations across certain items. According to the bifactor model, there is evidence for multidimensionality in OLBI, but the general factor is strong. Thus the OLBI can be treated as essentially unidimensional, although both subscales may be of additional value.
DOI: 10.6084/m9.figshare.14226464.v1
title: Lithium-Ion Battery Electrolyte (LIBE) dataset

description: The Lithium-Ion Battery Electrolyte (LIBE) dataset includes the computed properties of over 17,000 molecules relevant to electrolyte and interphase chemistry calculated at the ωB97X-V/def2-TZVPPD/SMD level of theory. The dataset was generated by fragmenting a set of principal molecules, including solvents, salts, and SEI products, and then selectively recombining a subset of the fragments. LIBE contains structural, thermochemical, and vibrational information.
DOI: 10.6084/m9.figshare.15019272.v1
title: Data/20191029/AML_AC

description: CAP data for Gerbil 20191029 AML AC thresholds
DOI: 10.6084/m9.figshare.16441707.v1
title: Data set

description: You will need the "Spectrometer_V7-1" software o notepad to open this files.<br><br>The sampling was carried out in spring 2019 with an optical spectrometer, to measure the fractions of PM10, MP2.5, PM1 and the number and the surface of the particles.Sampling was performed by a GRIMM spectrometer, Mini-LAS 11-E model, located at 1.75 m above ground level according to the protocol for the exposure of the population to urban pollution. A time resolution of 1 minute was used, for two periods of 30 minutes to measure the fractions of PM10, PM2.5, and PM1 during one period, and the surface distribution and the number of particles during the other. The spectrometer has a laser diode with a wavelength in the visible range of 660nm. The intensity of the laser beam can be modulated, allowing it to detect particles between 0.25μm and 32μm and classify into 31 channels within the range.
DOI: 10.6084/m9.figshare.24046008.v1
title: Figures

description: The model output data are shown in Figures 1, 2, S1, and S2, together with the MATLAB scripts used to create the plots.
DOI: 10.6084/m9.figshare.28103579.v5
title: Description of Additional Supplementary Files-Chronic nitrogen legacy in the aquifers of China

description: Description of additional supplementary files of Chronic nitrogen legacy in the aquifers of China
DOI: 10.6084/m9.figshare.28428968.v1
title: Supplementary Material for: Synchronous double primary malignancy of non-small cell lung cancer and glioblastoma: A case report and literature review

description: Background: Non-small cell lung cancer (NSCLC) is the most common form of lung cancer and has a propensity to metastasize to the brain. It is incredibly difficult to distinguish between a primary brain lesions and a solitary metastasis from distant occult disease using current imaging techniques. Further, complications arise from the shifting paradigm in how medicine views NSCLC brain metastasis due to contemporary non-surgical curative treatments and the recent increase in the number of multiple primary malignancy (MPM) diagnoses associated with NSCLC. There is a dearth of reports regarding synchronous double primary malignancies involving separate lung and brain pathologies. Importantly, understanding the underlying cancer etiology is necessary for efficacious treatment strategy.
Case Presentation: A 65-year-old white male patient presented with node-positive NSCLC and a solitary intracranial lesion. The lung mass responded favorably to chemoradiotherapy while the brain lesion continued to progress despite stereotactic radiosurgery treatment. Subsequent resection of the brain lesion, conducted eight months after initial presentation, surprisingly revealed a second primary cancer diagnosis of glioblastoma (GB). Unfortunately, despite revision of systemic therapeutic strategy, the patient continued to progress through treatment and ultimately died 16 months after the initial diagnosis.
Conclusions: Herein is the third report regarding synchronous double primary malignancies involving non-small cell lung cancer NSCLC and GB. This report of an assumed metastatic NSCLC patient with a solitary brain lesion, history of smoking, and COPD underscores the need for pathological confirmation of all new presentations of metastatic disease via biopsy and highlights the importance of including the possibility of a second primary in the differential diagnosis. Additional reports of NSCLC and synchronous solitary brain lesions are needed to further elucidate pertinent patient characteristics and better inform clinical decision making.
DOI: 10.6084/m9.figshare.28926731.v1
title: Dataset

description: In this study, random forest regression models were developed to predict the viscosity of ionic liquids using an enhanced dataset generated via the cheminformatics toolkit RDKit.
DOI: 10.6084/m9.figshare.29178407.v1
title: Analysis of Key Factors Influencing the Physical and Mental Health of Chinese College Students and Research on Improvement Strategies Based on the DEMATEL/System Dynamics Integrated Model

description: Survey data
DOI: 10.17632/bkzdcwm4cc
title: The Negative Effect of Tax Evasion and Tax Avoidance on the Nigerian Economy 

description: This work discusses the effect of tax evasion and tax avoidance on the Nigerian economy.
DOI: 10.17632/gnt9jj59xv
title: Data for: Knowledge integration in Marine Spatial Planning: A practitioners’ view on decision support tools with special focus on Marxan

description: Survey data for the paper "Knowledge integration in Marine Spatial Planning: A practitioners’ view on decision support tools with special focus on Marxan", for details please the manuscript and its questionnaire.
DOI: 10.6084/m9.figshare.19232412.v1
title: processed_data

description: Roary outputs and phylogeny, SNP alignments and phylogeny, BEAST2 xml and output log files, PastML output, and E. coli isolate metadata
DOI: 10.6084/m9.figshare.23551902.v1
title: 18 Nwestbladi. Annotated proteins. Amino acids. Illumina genome

description: Gene models (in amino acids) annotated in the genome of Nemertoderma westbladi sequenced with Illumina
DOI: 10.6084/m9.figshare.27915876.v1
title: UWB_HGR_Dataset

description: This dataset is a preprocessed form of the original dataset available online designed to perform gesture recognition tasks. It includes 12 gesture categories, each represented by a separate folder named according to the gesture type. Each folder contains 800 samples of the corresponding gesture, recorded by eight volunteers. The file naming convention follows the format HV presents the volunteer number, G means gestures, and there are 0 to 99 samples in each folder. Each file shape is 90,183,3. For more details see the paper title: "UWB-gestures, a public dataset of dynamic hand gestures acquired using impulse radar sensors"
DOI: 10.6084/m9.figshare.12887471.v1
title: Dataset of female shoaling from Imminent risk of predation reduces the relative strength of postcopulatory sexual selection in the guppy

description: Excel file containing data on the proportion of time spent by females in a shoal
DOI: 10.6084/m9.figshare.13714207.v1
title: CMK.fas

description: <b>Background</b>Isoprenoids are the most ancient and essential class of metabolites produced in all organisms, either via mevalonate (MVA)-and/or methylerythritol phosphate (MEP)-pathways. The MEP-pathway is present in all plastid-bearing organisms and most eubacteria. However, no comprehensive study reveals the origination and evolutionary characteristics of MEP-pathway genes in eukaryotes.<b>Results</b>Here, detailed bioinformatics analyses of the MEP-pathway provide an in-depth understanding the evolutionary history of this indispensable biochemical route, and offer a basis for the co-existence of the cytosolic MVA- and plastidial MEP-pathway in plants given the established exchange of the end products between the two isoprenoid-biosynthesis pathways. Here, phylogenetic analyses establish the contributions of both cyanobacteria and Chlamydiae sequences to the plant’s MEP-pathway genes. Moreover, Phylogenetic and inter-species syntenic block analyses demonstrate that six of the seven MEP-pathway genes have predominantly remained as single-copy in land plants in spite of multiple whole-genome duplication events (WGDs). Substitution rate and domain studies display the evolutionary conservation of these genes, reinforced by their high expression levels. Distinct phenotypic variation among plants with reduced expression levels of individual MEP-pathway genes confirm the indispensable function of each nuclear-encoded plastid-targeted MEP-pathway enzyme in plant growth and development.<b>Conclusion</b>Collectively, these findings reveal the polyphyletic origin and restrict conservation of MEP-pathway genes, and reinforce the potential function of the individual enzymes beyond production of the isoprenoids intermediates.
DOI: 10.6084/m9.figshare.25245058.v1
title: Survey Results

description: Survey to explore learning preferences of emergency medicine residents based on the material being learned.
DOI: 10.6084/m9.figshare.27772917.v1
title: Mapa de Solos do Geoparque Quarta Colônia.

description: <br>O Geoparque possui o mapa detalhado proposto por Schirmer (2015) em escala 1:50.000, disponibilizado neste site. Este autor realizou um mapeamento utilizando o equipamento de recepção GPS (Sistema de Posicionamento Global) na atividade a campo e na interpolação dos dados com o mapa geológico de detalhe (1:100.000), resultando em 6 classes.<br>Para a utilização destas informações, seguiu-se as seguintes etapas tendo em vista que o mapa se encontra apenas no documento de tese de Schirmer (2015):<br>(1) Transformação da página 137 do documento de tese de Schirmer (2015) em imagem (PNG).<br>(2) Com a imagem, atribuiu-se um sistema de coordenadas geográficas utilizando o complemento do Qgis denominado Georreferenciador, onde é possível selecionar alguns pontos de referência para associar e espacializar os dados.<br>(3) Com a imagem georreferenciada, foi possível iniciar o processo de vetorização das feições propostas pelo autor, seguindo as seguintes etapas:<br>A. Criação de uma nova camada vetorial shapefile (SHP), nomeada de “mapa pedológico”, em que o tipo de geometria escolhido foi o de polígono e os seguintes números atribuídos às feições geomorfológicas:1- Argissolo;2- Cambissolo;3- Neossolo Litólico;4- Hidromórfico;5- Neossolo Quartzarênico;6- Latossolo.<br>B. Para esta seleção, foi necessário utilizar a ferramenta de alterar edição e adicionar polígono. Ou seja, realizar o processo de vetorização da imagem raster georreferenciada.
DOI: 10.17632/b6h5kvn5pj
title: The Healthy Hero Study Source Data _ Manoogian et al., 2022

description: Source data for Figures 2-4, participant characteristics, and health outcomes from the Healthy Hero Study at baseline and 12 weeks.
From https://doi.org/10.1016/j.cmet.2022.08.018