cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/b9p6x2mvtp.1
title: Experimental data of Ag-Cu nano system

description: The raw/processed data of Ag-Cu Nano system The figure shows the DSC curves of four Ag-Cu alloy NPs samples encapsulated in silica. Similar melting behaviors have been observed in these four samples. No obvious event can be detected until 882.9 K, 849.9 K, 837.9 K and 827.5 K for Ag8Cu2, Ag7Cu3, Ag6Cu4, and Ag5Cu5, respectively, where an endotherm can be detected. This event is attributed to the melting of these four Ag-Cu NPs, respectively. Another endothermic effect is observed at 1053.1 K, 1053.1 K, 1060.6 K and 1048.5 K for Ag8Cu2, Ag7Cu3, Ag6Cu4, and Ag5Cu5, respectively, which correspond to the well-established invariant reaction temperature of bulk Ag-Cu alloy—Ag-Cu, is a simple eutectic system with a eutectic temperature of 1052.5K.
DOI: 10.17632/whbksvjmcn.1
title: Investigations on Ag nanoparticles-Carbon-Poly (9,9-di-n-octylfluorenyl-2,7-diyl) (PFO) composite: Morphological, structural, optical and electrical characterization DATASET

description: Raw data for Experiment 2f
DOI: 10.17632/45w7hv53yr.1
title: MINERVA: A facile strategy for SARS-CoV-2 whole genome deep sequencing of clinical samples (Chen et al)

description: related article: MINERVA: A facile strategy for SARS-CoV-2 whole genome deep sequencing of clinical samples
DOI: 10.17632/3hrg9tpsx9.3
title: Childhood Cancer Cluster Simulation - Cancer in Brief Manuscript Schündeln et al. 2020

description: Incidence of newly diagnosed childhood cancer (140/1,000,000 children under 15 years) and nephroblastoma (7/1,000,000) was simulated. Clusters of defined size (1 to 50) were randomly assembled on the district level in Germany. Each cluster was simulated with ten different relative risk levels (1 to 100). For each combination 2000 iterations were done. Simulated data was then analysed by three local clustering tests: Besag-Newell (BN) method, spatial scan statistic (SSS) and Bayesian Besag-York-Mollié with Integrated Nested Laplace Approximation approach (BYM). RAW DATA: The simulated raw data is reported in the Rdata files: "ChildhoodCancerSimulationData.Rdata" and "ChildhoodNephroblastomaSimulationData.Rdata". These files contain 6 lists for the different cluster sizes ("Cluster Size X"). Within each of these lists 2000 simulations for clusters in 10 different risk levels ("RR Y Cluster") and the corresponding simulated cases for each of the respective scenario ("RR Y SimCases") are found. ANALYSED DATA: The operating characteristics of each of the various cluster detection methods and scenarios in this study is reported according to the quality criteria detailed below ("Analyzed Data - Data in Brief.xlsx") Minimum Power (MP): Proportion of simulations detecting at least one district of the true cluster. Exact Power (EP): Proportion of simulations detecting the true cluster without false positives. Sensitivity (sens): Proportion of correctly detected districts in the true cluster. Specificity (spec): Percentage of normal risk districts, correctly classified as normal risk districts. Positive predictive value (PPV): Proportion of districts in the detected cluster belonging to the true cluster. Negative predictive value (NPV): Proportion of districts not labeled as a risk cluster that is not part of the true cluster. Correct classification (CC): Percentage of correctly classified districts of all districts. Correct proportion (CP): Correctly labeled districts of all detected potential high-risk districts. Positive diagnostic likelihood (PDL): The ratio of high-risk districts being detected, divided by the probability non-high-risk districts being detected (sensitivity / (1-specificity). Negative diagnostic likelihood (NDL): The ratio of high-risk districts not being detected divided by the probability of non-high-risk districts not being detected ((1 – sensitivity) /specificity). False positive rate (FPR): Incorrectly labeled high-risk districts of all detected high-risk districts False negative rate (FNR): Incorrectly labeled normal-risk districts of all detected normal-risk districts
DOI: 10.17632/4rm3v4m2wk.1
title: Zenith Wet Delay and others for year (2019)

description: These are 505 stations that have full records of year 2019 with 6-hour resolution. These data have been extracted from the VMF1 websites from the operated stations.
DOI: 10.17632/ws7787j43v.1
title: Composite faces and Navon letters: Similar global Phenomena different processing mechanisms

description: The first data set is from a published paper by Fitousi: Fitousi, D. (2019). Global-to-local? Uncovering the temporal dynamics of the composite face illusion using distributional analyses. Frontiers in Psychology ,10, 2331, 1-17. The second data set is new and contains a replication of the classic experiment with Navon's figures (Navon, 1977). The two data sets were modeled with the linear ballistic accumulator model (Brown & Heathcote, 2008). The question of interest was whether global precedence phenomena are governed by similar mechanisms.
DOI: 10.17632/fv8bvksrhb.1
title: Banking Reforms, Efficiency and Competition in Ghana from 2008-2019

description: This paper examines the effect of the ongoing banking reforms on bank efficiency and bank competition within the efficient structure (ES) and the structure-conduct-performance (SCP) framework for the Ghanaian banking industry. Using an annual panel data of 21 Ghanaian banks from 2008-2019, we employed the nonparametric data envelope analysis (DEA) technique to estimate the level of bank pure-technical (PTE) and cost-efficiency (CE) while the Herfindahl-Hirschman Index (HHI) and the market share of lending (MSL) concentration ratios are employed as our proxies for the market power hypotheses. Further, the two-step system generalized method of moments is employed to estimate a panel model where the PTE, CE, HHI and MSL are regressed on bank-level factors while controlling for macroeconomic variables. Despite the remarkable improvements in bank efficiency in Ghana, the findings depict a worrying trend in bank competition resulting from the ongoing reforms. While increasing bank size and bank capital are found to have a positive relationship with bank efficiency and market power, a negative relationship between liquidity and bank efficiency and competition is reflected by the banks' inability to optimally utilize the excess liquidity flowing in from the other vulnerable financial sectors due to the ongoing banking crisis. We also document evidence on the high persistence of market power which suggest a declining bank competition in Ghana. Policy implications for the Ghanaian banking industry regulation are discussed.
DOI: 10.5281/zenodo.4263419
title: Panorámica actual de empleo - Data Scientist

description: Este dataset es una recopilación de las ofertas de trabajo, en el campo de Data Science, publicadas en LinkedIn con sus datos más relevantes para poder realizar posteriormente un análisis. Debido a las limitaciones del sistema de búsqueda de Linkedin se pueden obtener un máximo de 1000 ofertas (40 páginas de resultados) por cada búsqueda realizada y ordenadas por relevancia. Concretamente hemos obtenido los datos eligiendo distintas regiones para los puestos de trabajo: Todo el mundo, Reino Unido, España, Escocia y remoto.
DOI: 10.5281/zenodo.4263303
title: Panorámica actual de empleo - Data Scientist

description: Este dataset es una recopilación de las ofertas de trabajo, en el campo de Data Science, publicadas en LinkedIn con sus datos más relevantes para poder realizar posteriormente un análisis. Debido a las limitaciones del sistema de búsqueda de Linkedin se pueden obtener un máximo de 1000 ofertas (40 páginas de resultados) por cada búsqueda realizada y ordenadas por relevancia. Concretamente hemos obtenido los datos eligiendo distintas regiones para los puestos de trabajo: Todo el mundo, Reino Unido, España, Escocia y remoto.
DOI: 10.17632/8xjhrrk9rx.1
title: MR-AMR Dataset

description: MR-AMR is a public dataset composed of 140000 images of the digits in full-state and mid-state. It covers different types of water and electricity meters most used in Morocco
DOI: 10.17632/8h8zggfnrh.1
title: Towards High Performance Flexible Planar Supercapacitors

description: data manuscript
DOI: 10.17632/z5y3ggw6gm.1
title: data_2020JD032825

description: Data used in the paper "First observations of elves and their causative very strong lightning discharges in an unusual small-scale continental spring-time thunderstorm" by Kolmasova et al. The dataset includes the data from fast photometers, measurement of displacement currents, VLF recordings from Kannuslehto, Finnland, current moments and charge moment changes calculated from ELF measurements. The data is easy interpretable as has a form of text files or plots.
DOI: 10.17632/zjhv332xp2.1
title: Mechanisms of broad-band ultraviolet B irradiation-induced itch in mice

description: Data set for the UVB-induced itch mechanism
DOI: 10.17632/dw9mrddpbf.1
title: Data for: biomicrocomposites prepared by hot-pressing CDW wood/coconut coir, coconut coir/regenerated silk, and CDW wood/regenerated silk blends
DOI: 10.17632/9rb5y4hhfv.2
title: Data for: Approximation of thermodynamic properties of potassium and some binary compounds by Einstein functions sum including temperatures below 5 K

description: This dataset contains input isobaric heat capacity and heat content data, assigned statistical weights, optimized parameters of thermodynamic models for solid potassium K, lead iodide PbI2, thorium sulphide ThS, thorium disulphide ThS2, uranium diboride UB2 and triuranium silicide U3Si. The models are based on the weighted sums of Einstein (Einstein-Planck) functions. It also contains tabulated values of standard thermodynamic functions for these compounds.
DOI: 10.17632/6kmy3pp3th.1
title: Datasets for Social Media Image Classification for Disaster Response

description: Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response During a disaster event, images shared on social media helps crisis managers gain situational awareness and assess incurred damages, among other response tasks. Recent advances in computer vision and deep neural networks have enabled the development of models for real-time image classification for a number of tasks, including detecting crisis incidents, filtering irrelevant images, classifying images into specific humanitarian categories, and assessing the severity of damage. Despite several efforts, past works mainly suffer from limited resources (i.e., labeled images) available to train more robust deep learning models. In this study, we propose new datasets for disaster type detection, and informativeness classification, and damage severity assessment. Moreover, we relabel existing publicly available datasets for new tasks. We identify exact- and near-duplicates to form non-overlapping data splits, and finally consolidate them to create larger datasets. In our extensive experiments, we benchmark several state-of-the-art deep learning models and achieve promising results. We release our datasets and models publicly, aiming to provide proper baselines as well as to spur further research in the crisis informatics community.
DOI: 10.17632/9sbkcmhsmh.1
title: Entrepreneurs Dynamic Capabilities Research Dataset (1996-2020)

description: The Entrepreneurs Dynamic Capabilities research & publication dataset, which was indexed by Scopus from 1996 to October 2020. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/yymxrn9znx.1
title: Interior Designers In Chennai | Cookscape

description: Cookscape brings in some of the best Modular kitchen designs in the city of Chennai. With Cookscape, you also get to experience a feeling of what your kitchen would look like in its modular Avatar. Cookscape is the Best Interior Designers in Chennai.
DOI: 10.17632/kwbxbkyvvk.1
title: NAKANO_Biomaterials
DOI: 10.17632/vt3cnmz9bc.3
title: Data of transcriptome and differentially expressed genes from developing seeds of cultivated (Sesamum indicum), wild (S. mulayanum) and RILs of sesame

description: Supplementary materials with the article
DOI: 10.17632/g6p5kjz657.1
title: Dataset of fight against the viral threat based on management and marketing during the COVID-19 economic crisis

description: The dataset has combined statistics on management, marketing and COVID-19 incidence for most countries in the world that provide data for international statistical accounting (for 141 countries). Thanks to this, the dataset makes it possible to conduct research both on the basis of the global economy as a whole (for a full sample of countries), and on the basis of samples from individual countries according to various criteria, for example, according to the incidence of COVID-19 or the level of maturity of market relations (developed and developing countries). Although indicators of management (e-civil society, business reliance on professional management and flexibility of government) and marketing (demanding consumers as an incentive to marketing, marketing management of conflicts of interest in business and competition as a measure of government incentives for marketing) are available in electronic format on the official World Economic Forum, this data cannot be processed, since it cannot be uploaded to the user's computer in tabular form. The dataset contains not only the initial data measured in different units of measurement, but also the average world values ​​of indicators calculated by the author and the ratio of values ​​of each country to global values. The uniqueness and value of the data included in the dataset lies in the fact that the statistics on the incidence of COVID-19 are not given in statics (as of a certain date), but in the dynamics of three trimesters of 2020: as of 03/02/2020 ( for the 1st trimester), as of 06/18/2020 (for the 2nd trimester) and as of 10/13/2020 (for the 3rd trimester). Thanks to this, the dataset is applicable for a wide range of dynamic studies of the development of the COVID-19 pandemic and crisis, and also allows the most complete, accurate and reliable determination of the dependence of the virus threat on management and marketing factors, the contribution of which is manifested exclusively in dynamics, since they provide a delayed effect. The dataset contains a convenient selection of indicators in the field of management and marketing. Indicators are selected according to two criteria. The first criterion: attitude to management (e-civil society, professional management and flexibility of public administration) and attitude to marketing (demanding consumers, marketing management of conflicts of interest and competition as an incentive to marketing). The second criterion: consumers (electronic civil society and the exactingness of consumers), business (professional management and marketing management of conflicts of interest) and the state (flexibility of government and competition as an incentive for marketing) act as the subject of management / marketing. The dataset contains indices showing the contribution of each factor and each logical group of factors to the fight against the virus threat.
DOI: 10.5281/zenodo.4252702
title: coffee_varieties

description: <pre>The dataset provides information on the appearance, agronomic information, genetics and availability of each Arabica coffee variety. The most extensive is agronomic information, data necessary to identify the suitability of a certain location to the growing conditions of the coffee variety.</pre> <pre> </pre>
DOI: 10.5281/zenodo.4252701
title: coffee_varieties

description: <pre>The dataset provides information on the appearance, agronomic information, genetics and availability of each Arabica coffee variety. The most extensive is agronomic information, data necessary to identify the suitability of a certain location to the growing conditions of the coffee variety.</pre> <pre> </pre>
DOI: 10.17632/s2pfyb88b7.2
title: Structural coupling between the Qiman Tagh and the Qaidam Basin, northern Tibetan Plateau: a perspective from the Yingxiong Range by integrating field mapping, seismic imaging and analogue modelling

description: Figures 3-5, 8，10，S1，S2 and S3 including seismic profiles, filed data and borehole loggings
DOI: 10.17632/9vvrd34f8t.1
title: Dataset of development of business during the COVID-19 crisis

description: To create the dataset, the top 10 countries leading in the incidence of COVID-19 in the world were selected as of October 22, 2020 (on the eve of the second full of pandemics), which are presented in the Global 500 ranking for 2020: USA, India, Brazil, Russia, Spain, France and Mexico. For each of these countries, no more than 10 of the largest transnational corporations included in the Global 500 rating for 2020 and 2019 were selected separately. The arithmetic averages were calculated and the change (increase) in indicators such as profitability and profitability of enterprises, their ranking position (competitiveness), asset value and number of employees. The arithmetic mean values of these indicators for all countries of the sample were found, characterizing the situation in international entrepreneurship as a whole in the context of the COVID-19 crisis in 2020 on the eve of the second wave of the pandemic. The data is collected in a general Microsoft Excel table. Dataset is a unique database that combines COVID-19 statistics and entrepreneurship statistics. The dataset is flexible data that can be supplemented with data from other countries and newer statistics on the COVID-19 pandemic. Due to the fact that the data in the dataset are not ready-made numbers, but formulas, when adding and / or changing the values in the original table at the beginning of the dataset, most of the subsequent tables will be automatically recalculated and the graphs will be updated. This allows the dataset to be used not just as an array of data, but as an analytical tool for automating scientific research on the impact of the COVID-19 pandemic and crisis on international entrepreneurship. The dataset includes not only tabular data, but also charts that provide data visualization. The dataset contains not only actual, but also forecast data on morbidity and mortality from COVID-19 for the period of the second wave of the pandemic in 2020. The forecasts are presented in the form of a normal distribution of predicted values and the probability of their occurrence in practice. This allows for a broad scenario analysis of the impact of the COVID-19 pandemic and crisis on international entrepreneurship, substituting various predicted morbidity and mortality rates in risk assessment tables and obtaining automatically calculated consequences (changes) on the characteristics of international entrepreneurship. It is also possible to substitute the actual values identified in the process and following the results of the second wave of the pandemic to check the reliability of pre-made forecasts and conduct a plan-fact analysis. The dataset contains not only the numerical values of the initial and predicted values of the set of studied indicators, but also their qualitative interpretation, reflecting the presence and level of risks of a pandemic and COVID-19 crisis for international entrepreneurship.
DOI: 10.17632/gpvjxsdzjr.1
title: Dataset of perspectives of the world economy’s development after the COVID-19 crisis

description: The article reflects the possibilities of a dataset of the prospects for the development of the world economy after the COVID-19 crisis. The dataset has combined statistics on digital competitiveness, sustainable development and COVID-19 incidence for 63 countries of the world, including both developed and developing countries. The data are combined in a common table in an editable format and prepared for calculations with any level of automation. Thanks to this, the dataset is a convenient digital database for conducting a cross-country overview of trends and prospects for the development of the world economy in and after the COVID-19 crisis from the standpoint of sustainability (and stability) and accelerated digital growth. Basic statistics systematized and aggregated in a dataset can be used for various scientific research The growth obtained and presented in the dataset for all 63 countries of the sample is especially useful for scientific research on the 2020 crisis.Dataset overcomes the lack of data on the impact of the pandemic and the COVID-19 crisis on economic systems, filling this gap with accurate quantitative data on large a sample of developed and developing countries. The practical significance and usefulness of the dataset also lies in the fact that it assesses the lost profit (lost opportunities in 2020) due to the COVID-19 crisis, increasing digital competitiveness and sustainable development in 2020 across the entire sample of 63 countries of the world. Loss of profits reflects the difference between simple gains in 2020 over 2019 (due to a variety of factors) and crisis-influenced gains (due to the COVID-19 pandemic). This provided data on how the global economy might have developed in 2020 had it not been for the crisis, which could be useful for scientific research. The dataset contains a forecast for the development of the world economy after the COVID-19 crisis for 2021 according to the scenario of overcoming the viral threat (reducing the incidence to 5%) and according to the scenario of reducing the viral threat and the formation of the normal incidence (increasing the incidence up to 100%). This forecast is useful for scientific research requiring analytical support and predictive data. The advantage of the forecast is the alternativeness of the considered scenarios, which makes it possible to use the forecast in a wide range of scientific research. Even if a forecast is not required for a number of studies, it can be used as a case study of using a dataset.
DOI: 10.17632/rr89y6c68m.1
title: Mitochondrial Threonyl-tRNA Synthetase TARS2 is Required for Threonine-sensitive mTORC1 Activation. Kim et al.

description: Original unprocessed data accompanying the manuscript "Mitochondrial Threonyl-tRNA Synthetase TARS2 is Required for Threonine-sensitive mTORC1 Activation".
DOI: 10.17632/m7rdpx5b3z.10
title: Data for: A global synthesis reveals the change of coral carbon isotopic response to anthropogenic Suess effect since around 2000s

description: The dataset includes all data for "A global synthesis reveals the change of coral carbon isotopic response to anthropogenic Suess effect since around 2000s" by Liu et al..
DOI: 10.17632/vt2n4kwb25.3
title: Morbidity melanoma data

description: This is a retrospective multicenter study on postoperative morbidity after surgical treatment for non-metastatic skin melanoma. Data were extracted from the Central National Melanoma Registry (CNMR), which is a prospectively maintained national database for melanoma treatment promoted by the IMI in 43 melanoma centers in Italy. The study was conducted according to Helsinki Declaration principles and was approved by the Ethics Committee of the Central National Melanoma Registry (CNMR). All patients gave their consent to have their data collected for scientific purpose.
DOI: 10.17632/vfy3zkrznk.1
title: co2_fd_inequal

description: This is the final data used for regressions in "Transmission Channels between Financial Development and CO_2 Emissions : A Global Perspective"
DOI: 10.17632/fvdsbcvtmc.1
title: Dr.

description: LncRNA BCAR4 aggravated proliferation and migration in esophageal squamous cell carcinoma by negatively regulating p53/p21 signaling pathway