cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3465686.v2
title: Periodic Table of Digital Research Resources

description: This is figure is lays out different digital research tools and resources. It is meant for people looking to discover new tools for research, publication, and dissemination.<br>This figure will be annotated for context, so that researchers can more easily understand what each tool does, how to use it, and its level of difficulty.<br><br>
DOI: 10.6084/m9.figshare.9939587.v3
title: Text mining (sentiment analysis) of students evaluation of teaching

description: Educational Process and Data Mining
DOI: 10.17632/m83gcp5z48
title: MagGene: A genetic evolution program for magnetic structure prediction

description: We have developed a software MagGene to predict magnetic structures by using genetic algorithm. Starting from an atom structure, MagGene repeatedly generates new magnetic structures and calls first-principles calculation engine to get the most stable magnetic structure. This software is applicable to both collinear and noncollinear systems. It is particularly convenient for predicting the magnetic structures of atomic systems with strong spin–orbit couplings and/or strong spin frustrations.
DOI: 10.17632/nmjd35fcb5
title: cut-flower disease dataset

description: This dataset is a dataset that prepared for cut-flower disease detection and classiffication by using computer vision. as it is known cut-flowers  are flowers or flower buds that have been cut from the plant bearing it for decorative purpose. it has a great role in balancing a gross domestic product(GDP) of the developing countries like Ethiopia and Kenya. however, it has a big impact on balancing economy, the countries cannot achieve the maximum effort and income due to disease problem. so this dataset is prepared for supporting a researcher those need to support a farmer and investor.the dataset is an image dataset that contain a cut-flowers leaf diseases. black-spot, powdery-mildew, downy-mildew and normal cut-flower leaves are included. in my research that I proposed in Addisababa science and Technology university for partial fulfillment of MSc degree, "developing deep-learning based  cut-flower disease detection and classification model " is done by this dataset and achieve a good result in evaluattion matrix.
this dataset is prepared through image collecting , image analysis and image labelling procedure. in image collecting(gathering) level the scholar, expert(plant pathologists) and plant managers are participated. a mobile with 64 mpx used for capturing cut-flower leaves image. a distance between a leaves and mobile camera averegically is 30 yards and also in image analysis the blurred image, the image hidden by other leaves, the image captured from a more distance which is not visible is outed during images analysis. finally the images are labelled by using LabelImg tool with their correspondence name. the labelling intension is for multi-label classification which has localization.
DOI: 10.6084/m9.figshare.1373931.v1
title: Proposta de implantação do plano de manutenção para a Porta Giratória Detentora de Metais (PGDM) em um Banco Multinacional

description: Análise de manutenção é muito importante para descrever o comportamento dos equipamentos. Cada máquina tem um tempo de desempenho e esse tempo precisa ser estimado para que ela não comprometa a produção. O artigo apresenta parâmetros usados dentro da manutenção como: confiabilidade, disponibilidade inerente e calculo de manutenibilidade. Os dados foram obtidos entre os dias 02 de outubro até 17 de novembro em uma Agência de um banco multinacional, , sendo o equipamento selecionado para a realização a Porta Giratória Detectora de Metais (PGDM). Na análise verificou-se que o equipamento apresentou valores baixos de desempenho devido sua alta utilização e o aparelho ser antigo. O diagnóstico foi muito importante para apresentar as falhas mais comuns e realizar um planejamento de manutenção com base no programa de qualidade no ciclo Plan - Do - Check - Act(PDCA).
DOI: 10.6084/m9.figshare.21191228.v1
title: Identification of core genes affecting IMF deposition in bovine

description: Intramuscular fat (IMF) content is an important economic factor in beef production. However, knowledge on the key factors controlling bovine IMF is limited. In this study, using weighted gene co-expression network analysis (WGCNA), nine modules were identified and the number of transcripts in these modules ranged from 36 to 3191. Two modules were found to be significantly associated with fat deposition and three genes (<i>TCAP</i>, <i>MYH</i>7, and <i>TNNC</i>1) were further identified by Protein–protein interaction (PPI), which may be the hub genes regulating bovine IMF deposition. In addition, considering the genetic variation, the <i>PCK1</i> gene was found by functional enrichment analysis of overlapping genes, which was previously reported to be involved in IMF deposition. We noted that the core promoter region of buffalo <i>PCK</i>1 binds to transcription factors involved in lipid metabolism while cattle <i>PCK</i>1 binds transcription factors involved in muscle development. The results suggest that <i>PCK1</i> participated in IMF deposition of buffalo and cattle in different ways. In summary, gene expression networks and new candidate genes associated with IMF deposition identified in this study. This would lay the foundation for further research into the molecular regulatory mechanisms underlying bovine IMF deposition.
DOI: 10.6084/m9.figshare.27701493.v1
title: Supporting data for "UV-Induced DNA Repair Mechanisms and Their Effects on Mutagenesis and Culturability in Escherichia coli"

description: Supporting data for "UV-Induced DNA Repair Mechanisms and Their Effects on Mutagenesis and Culturability in Escherichia coli"
DOI: 10.17632/2sc5bwyw6s
title: Temporally distinct post-replicative repair mechanisms fill PRIMPOL-dependent ssDNA gaps in human cells. Tirman et al.

description: Unprocessed microscopy images, gels, and blots published in Tirman et al., 2021.
DOI: 10.17632/43cyzy48zy
title: Replication Data for: International Trade and Job Polarization

description: Replication data and codes for: "International Trade and Job Polarization: Evidence at the Worker Level" by W. Keller and H. Utar
DOI: 10.17632/g9cdn9rmc2
title: GLOBALINTO Input-Output Intangibles Database

description: The GLOBALINTO Input-Output Intangibles Database was constructed in the context of the Horizon2020 project ‘GLOBALINTO: Capturing the value of intangible assets in microdata to promote the EU’s Growth and Competitiveness’. The database is formulated under an input-output framework and treats intangibles as producer services that derive from certain knowledge-producing sectors in the economy (namely J62-J63 – Computer programming, consultancy, and related activities; Information service activities, M72 – Scientific research and development, M73 – Advertising and market research, and N – Administrative and support service activities) and embeds them within the context of global value chains (GVCs) as traded knowledge intermediates. Data include intangible input variables, export statistics, competitiveness metrics, and additional patent (applications) and R&D data (expenses and labor) from Eurostat,  for 56 2-digit NACE Rev. 2/ ISIC Rev. 4 sectors from the EU-27 and the UK, covering the period 2000-2014.
DOI: 10.17632/wtc6jc5y9t
title: Data of green synthesized AgCoPO4 nanoparticles: Optical studies and theoretical modelling

description: The data of the absorption spectra and XRD of green synthesized AgCoPO4 nanoparticles.
DOI: 10.6084/m9.figshare.14706795.v1
title: Reformas electorales en América Latina (1977-2019)

description: Esta base de datos sistematiza las reformas electorales de 18 países de América Latina entre 1977 y 2019. En caso de utilizar estos datos, por favor, citar de la siguiente manera: Freidenberg, Flavia, Garrido de Sierra, Sebastián y Uribe Mendoza, Cristhian, 2021, “Reformas electorales de América Latina, 1977-2019", Observatorio de Reformas Políticas en América Latina (1978-2021). Ciudad de México: Instituto de Investigaciones Jurídicas (IIJUNAM) y Washington, D.C.: Secretaría de Fortalecimiento de la Democracia de la Organización de los Estados Americanos (SFP/OEA), V1.
DOI: 10.6084/m9.figshare.25529596.v1
title: A multi-glycomic platform for the analysis of food carbohydrates - Monosaccharide, linkage and polysaccharide (FITDOG) composition analyses of different varieties of apple (figure 5)

description: Carbohydrates comprise the largest fraction of most diets and exert a profound impact on health. Components such as simple sugars and starch supply energy while indigestible components, deemed dietary fiber, reach the colon to provide food for the tens of trillions of microbes that make up the gut microbiota. The interactions between dietary carbohydrates, our gastrointestinal tracts, the gut microbiome, and host health are dictated by their structures. However, current methods for analysis of food glycans lack the sensitivity, specificity, and throughput needed to quantify and elucidate these myriad structures. This protocol describes a multi-glycomic approach to food carbohydrate analysis where the analyte might be any food item or digested product. The carbohydrates are extracted by… and the resulting samples are subjected to employing rapid-throughput liquid chromatography-tandem mass spectrometry (LC-MS/MS) methods. Quantitative analyses of monosaccharides, glycosidic linkages, polysaccharides, and alcohol soluble carbohydrates are performed in 96-well plate format to reduce the biomass of sample required and enhance throughput. Detailed stepwise processes for sample preparation, LC-MS/MS, and data analysis are provided. We illustrate the application of the protocol to a diverse set of foods as well as different apple cultivars and various fermented foods. Furthermore, we show the utility of these methods in elucidating glycan-microbe interactions in germ-free and colonized mice. These methods provide a framework for elucidating relationships between dietary fiber, the gut microbiome, and human physiology. These structures will further guide nutritional and clinical feeding studies that enhance our understanding of the role of diet in nutrition and health.
DOI: 10.6084/m9.figshare.29153642.v1
title: FigShare_Thermodynamics of microphase separation

description: This folder contains data and code for Figures 2,3,4,7 and 10. This include excel files with the raw data and also MATLAB code to plot phase diagrams.
DOI: 10.17632/c3v9jvtckx
title: Survey Data on Factors Affecting Parents' Decisions in Choosing an Integrated Islamic Elementary School

description: This data is the result of being processed statistically about the factors that affecting parents' decisions in choosing an integrated Islamic elementary school in Indonesia. The type of variable given is in accordance with the decision to choose a school. There are 8 variables given, namely Religion, Facilities, School Culture, Learning Quality, School Programs, Teacher Quality, School Image, and School Location. Data obtained by questionnaire conversion to 100 parents of students who have just been accepted by the integrated Islamic elementary school.
DOI: 10.17632/f727rc78wp
title: Articulos

description: Articulos
DOI: 10.6084/m9.figshare.19054925.v1
title: Ganoderma lucidum genome

description: Ganoderma lucidum genome
DOI: 10.6084/m9.figshare.21276921.v1
title: Mitochondria and AngII

description: AngII effects on mitochondrial function
DOI: 10.6084/m9.figshare.27043354.v1
title: 00_ke_data_18_22.dta

description: Regional economics
DOI: 10.6084/m9.figshare.4003482.v3
title: Stoichiometric distribution models: ecological stoichiometry at the landscape extent.

description: This file set includes a read me file, R code file and data set files associated with the manuscript: Leroux et al. Stoichiometric distribution models: ecological stoichiometry at the landscape extent.<br>
DOI: 10.6084/m9.figshare.14673147.v1
title: S3_Data.csv.zip

description: <b>S3 Data. Simulations gene flow. </b>Results of the 1000 simulations for each subset of gene flow presented on Fig 1C. Each simulation ID (iter_n) is associated with the OE value.
DOI: 10.6084/m9.figshare.14762430.v1
title: Kakuk_et_al_2021_HCMV.gff

description: The position of transcripts identified in:Combined Nanopore and Single-Molecule Real-Time Sequencing Survey of Human Betaherpesvirus 5 Transcriptome(Kakuk et al, 2021)
DOI: 10.6084/m9.figshare.26181209.v1
title: Supporting data set for article 'Submarine groundwater discharge exceeds rivers as a source of dissolved carbon to the Bohai Sea'

description: Submarine groundwater discharge (SGD) is often overlooked when building carbon budgets in continental margins. Nevertheless, SGD may transport large amounts of carbon from terrestrial environments and coastal sediments to the ocean. Here, we resolve the relative contribution of coastal groundwater and river water as sources of carbon budgets in the Bohai Sea. We show that broadly-defined SGD-derived carbon contributes 50–90% to the dissolved carbon pool of the Bohai Sea. This magnitude is 4–10 times that of the dissolved carbon flux transported by rivers. The dissolved carbon flux transported by SGD can have implications for the acidification and eutrophication of coastal seawater. The impact of SGD on seawater acidification or buffering primarily determined by hydrogeological conditions. Our findings illustrate the significance of SGD as a crucial contributor to dissolved carbon in coastal oceans. Coastal carbon budgets should incorporate the influence of SGD.
DOI: 10.6084/m9.figshare.4127148.v1
title: blood group and prognosis.sav

description: This dataset are only available from the Sun Yat-sen University Cancer Center Data Access / Ethics Committee for researchers who meet the criteria for access to confidential data
DOI: 10.6084/m9.figshare.28033493.v1
title: 通过整合知识图谱来增强大型语言模型的领域专业知识.pdf

description: IDS rules
DOI: 10.6084/m9.figshare.29095499.v1
title: Fig. 12B - Structural prediction of the putative 1st, 2nd TM domains, and Nogo-66 for Nogo-B

description: Video depicting the structural prediction of the protein Nogo-B with Alphafold-3, highlighting the putative 1st, 2nd TM domains, and Nogo-66 region.
DOI: 10.6084/m9.figshare.7785476.v1
title: Salient Region Detection through Salient and Non-salient Dictionaries

description: We assess our SRD model on four different standard datasets that are: 1) ASD [1], 2) 3ECSSD [2], 3) DUT-OMRON [3], 4) SED2 [4].<br><br>[1] Achanta, R.; Hemami, S.; Estrada, F.; Susstrunk, S., ”Frequency-tuned salient region detection,” in Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on , vol., no., pp.1597-1604, 20-25 June, 2009. doi: 10.1109/CVPR.2009.5206596. <br>[2] Qiong Yan, Li Xu, Jianping Shi, Jiaya Jia, Hierarchical SRD, in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2328 June, 2013, pp. 11551162. doi:http://dx.doi.org/10.1109/CVPR.2013. 153.[3]Chuan Yang; Lihe Zhang; Huchuan Lu; Xiang Ruan; Ming-Hsuan Yang, ”SRD via Graph-Based Manifold Ranking,” in Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on , vol., no., pp.3166-3173, 23-28, June, 2013. doi: 10.1109/CVPR.2013.407<br> [4] Alpert, S.; Galun, M.; Basri, R.; Brandt, A., Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration, Computer Vision and Pattern Recognition, 2007. CVPR 07. IEEE Conference on , vol., no., pp.1,8, 17-22 June, 72007. doi: 10.1109/CVPR.2007.383017. <br><br>
DOI: 10.17632/jzc4mzr6hb
title: Data for geometry-based greenness index comparisons in lettuce biophysical estimations

description: The lettuce images were captured daily using consumer-grade Vivo17 Pro smartphone camera for full six-week crop life cycle. Four lettuces are both cultivated in indoor and outdoor aquaponic setup. The distance of camera to lettuce canopy is 10 inches. The presence of artificial and natural photosynthetic light is present on the images. The raw images have corresponding vegetation channel for triangular greenness index (TGI) and artificial bee colony-optimized visible band oblique dipyramid greenness index (vODGIabc). The vODGIabc channel must exhibit more enhanced vegetation pixels than TGI transformed channel. The data shows that using swarm intelligence based optimization and the introduction of saturation and value component rectification increases the sensitivity of vODGIabc to green color pixels resulting to subtracted non-vegetation pixels in the image even with the presence of shadow and bright light sources. TGI and vODGIabc images are discriminated against the ground truth images annotated using superpixel and watershed transformation. To further the analysis, each ground truth image is accompanied with actual measurement of biophysical signatures of lettuce. The use of computational intelligence for lettuce fresh weight, height, number of spanning leaves, leaf area index and growth stage estimation is of significant consideration. Matlab codes for optimization, and machine learning and deep transfer network estimations are also included.
DOI: 10.17632/mn6wr4k3s2
title: Data for: A Flamboyant Mandarin in a Declining Liberal Order: China's Revisionist Agenda in Global Human Rights Institutions

description: The files show the results of text analytics on official Chinese human rights statements by the Xi Jinping government.
DOI: 10.6084/m9.figshare.19214289.v1
title: Main dataset file

description: Main dataset file encoded as Python's pandas dataframe and saved in Python's pickle format.
DOI: 10.17632/3rnmshh5cc
title: Dataset on social identity and inclusion at higher education

description: Data collected within a sample of 951 university teachers of eight Spanish public universities on diversity beliefs, attitudes, and practices, as well as on social identity (self-identification as a member of a minority group). Results supported a slightly predictive relationship between social identity and inclusive attitudes and practices of faculty. Full information about the theoretical framework, hypotheses, method, results and discussion has been submitted for publication.
DOI: 10.17632/crt59n8sbs
title: ChatGPT vs. Google in terms of navigation performance and self-learning success

description: Research purpose was to compare students' experiences of learning code via ChatGPT and Google in terms of navigation performance and academic success. The independent variables was age, gender, JavaScript experience, and ChatGPT usage, while the dependent variables was Navigation Performance Score (Disorientation, Satisfaction, Cognitive Load) and Test Score. Data collected from 471 fully distance education students from Web Design and Coding program. Navigation performance was measured using the Hyper-MNP scale developed by Firat and Kabakci Yurdakul (2016). The scale consists of a total of 15 items, 7 of which are positive statements and 8 of which are negative statements. The scale has a three-factor structure including disorientation (6 items), satisfaction (5 items), and cognitive load (4 items). The items are 5-point Likert type. Welch's t-test results showed a significant difference in favor of ChatGPT for all dependent variables.
DOI: 10.17632/ptmgr4vcz7
title: ANOVA Results

description: Results from a Mixed Model Analysis of Variance in SAS PROC GLM to test differences in F1 scores across algorithms and models. The ANOVA model included test sets nested in models as a categorical random factor, and algorithms and models as fixed categorical factors. Scheffé adjustment for multiple comparisons was used to control type I error rate.
DOI: 10.26180/5e4d14aec32ce
title: Observations_AW_ND.xlsx

description: Monitoring data (i.e., meteorological data (only for National Drive), water table depth, volumetric soil moisture, and daily transpiration) recorded at the two study sites, i.e., National Drive Reserve and Alex Wilkie Reserve, in Melbourne, Australia.
DOI: 10.6084/m9.figshare.12932729.v1
title: Supporting Data 1: Python scripts for NGS analysis

description: Python scripts used for NGS analysis.
DOI: 10.6084/m9.figshare.3523295.v1
title: Appendix B. The location, heath type, and assigned fire regimes for the heath studies in the fire regime gradient.

description: The location, heath type, and assigned fire regimes for the heath studies in the fire regime gradient.
DOI: 10.6084/m9.figshare.8858144.v1
title: supplementary_material_V0.docx

description: In this supplementary material we briefly describe how to adapt the expressions in Amaral et al., J. Opt. Soc. Am. B 35, 2977-2985 (2018), to the situation described in the main manuscript.
DOI: 10.17632/73r6r3sjhf
title: Mr.

description: Huazhong University of Science and Technology
DOI: 10.17632/c5jp294dbh
title: Data for: A Unique Molten Salt Reactor Feature - The Freeze Valve System: Design, Operating Experience, and Reliability

description: Fault trees for 2 failure modes of MSRE freeze valve FV-103 and supporting basic event data
DOI: 10.6084/m9.figshare.13338437.v1
title: TCGA: Prostate Cancer Gene Set

description: TCGA: Prostate Cancer Gene Set
DOI: 10.6084/m9.figshare.17041583.v1
title: AppendixB_Cities_Detail.csv

description: Detail of urban centres, including estimated populations and imcv difference values.
DOI: 10.6084/m9.figshare.22144898.v1
title: Unbiased ratio of seats to population (2023)

description: This is a dataset containing the latest (Feb 15, 2023) population and seats of the parliament (total number if it is bicameral) with the biased and unbiased ratio of seats to population (usually used as an indicator for the comparative studies). The original population data was downloaded from the World Bank and the original parliament size data was downloaded from IPU (Inter-Parliamentary Union). See our paper for how to calculate the unbiased indicator.
DOI: 10.6084/m9.figshare.26487382.v2
title: Supplemental Materials

description: Research on winter housing and bedding systems of selceted dairy farms in Vermont
DOI: 10.6084/m9.figshare.4040700.v1
title: Hepatitis B Virus (HBV) amino acid alignments and genotype-specific consensus sequences

description: Hepatitis B Virus (HBV) is the prototype human hepadnavirus. Unified reference sequences are important for informing phylogenetic analysis, studying variability within and between hosts, identifying sites of polymorphism/insertions/deletions and providing standardised sequence numbering. A variety of numbering systems have been employed, causing inconsistencies between different reports. This dataset provides a reference sequence for HBV (based on sequence data previously published by another group), along with aligned amino acid consensus sequences for genotypes A-F based on all available sequences on the HBV database, https://hbvdb.ibcp.fr (accessed October 2016). This resource has informed a parallel project to collate a systematic database of HLA Class I epitopes within HBV, ‘hepitopes’, (available on-line at http://www.expmedndm.ox.ac.uk/hepitopes), for which we required a unified approach to HBV sequence numbering.