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  • This database compiles five indicators regarding working conditions: fatal occupational injuries, non-fatal occupational injuries, forced labour, part-time employment and temporary employment. Each of the five indicators is provided for 44 regions according to WIOD Release 2016 regional structure and is disaggregated by economic activity according to the International Standard Industrial Classification of All Economic Activities (ISIC) Rev. 3. Therefore, this dataset is suitable to be introduced as a social satellite account in a multi-regional input-output model. Data has been compiled from official sources as ILOSTAT, EUROSTAT or OECD Data among others. Data coming from different databases have been homogenized, and in some cases estimation has been required. Main sources are specified in the dataset. For further information about the generation process of the dataset, please check García-Alaminos Á, Monsalve F, Zafrilla J, Cadarso MA (2020) Unmasking social distant damage of developed regions’ lifestyle: A decoupling analysis of the indecent labour footprint. PLOS ONE 15(4): e0228649. https://doi.org/10.1371/journal.pone.0228649. For any question, you can contact the author at angela.garcia@uclm.es.
    Data Types:
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  • Data consists of Stata 12 data set of the Zambia Demographic Health Survey Data for the year 2013/14. The data set consist of childhood mortality rates as well as socioeconomic, demographic and cultural factors associated with the deaths of these children. Using a multivariate regression analysis, the study uses odds ratio to determine factors are associated with childhood deaths. However, the study uses marginal effects of these factors to determine the extent to which these factors influence childhood mortality. The data set further includes the do-files showing the commands that were run in coming up with the results.
    Data Types:
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  • this Data reveals all results founded in this research paper
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    • Software/Code
    • Image
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  • Dados para análise fatorial exploratória para a composição do modelo de dados.
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    • Software/Code
    • Tabular Data
    • Dataset
  • Band gaps and Total Density of States for calculated lead-free perovskites
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    • Dataset
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  • Palynomorph assemblages and palynofacies analysis have been performed on several core samples from the Devonian–Carboniferous deposits identified in five wells located in the eastern part of the Moesian Platform. The investigated sections include, in ascending stratigraphic order, the Ţăndărei, Smirna, Călăraşi and Vlaşin formations. Based on stratigraphic distribution of key taxa identified (miospores, chitinozoans, acritarchs), seven biozone intervals (four for Devonian and three for Carboniferous) have been recognized. The oldest samples were dated as being part of the micrornatus-newportense (MN) – lower part of breconensis-zavallatus (BZ) interval zones (early Devonian), while the younger ones are assigned to the kosankei-varioreticulatus (KV) – nobilis-junior (NJ) interval zones (late Carboniferous). Palynofacies observations suggest a more distal depositional environment during the period between Lochkovian and Pragian times, followed by some proximal/fluvio-deltaic conditions in Emsian–early Eifelian (the top of Ţăndărei Formation). The upper Tournaisian to Serpukhovian sedimentary rocks of the Călăraşi and lower part of Vlaşin formations were deposited in inner neritic environments. Mud-dominated dysoxic/anoxic conditions prevailed in the Bashkirian, which were quickly succeeded by a deltaic deposition and oxidizing environments which persisted up to Moscovian. The lower Devonian terrestrial palynoflora is dominated by trilete spores which belong to the lowland vegetation of a non-forest mire palaeoecological group. The Carboniferous deposits yielded only terrestrial palynomorphs of various types of arborescent and herbaceous lycopsids and ferns, suggesting different habitats such as non-flooded wetlands or swamps within coastal plain and continental interiors. These assemblages of Carboniferous miospores are an indication of the neutral-humid climatic conditions which existed at the time of deposition.
    Data Types:
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  • The research question for this dataset was: How will climate change impact the growth of spring wheat in Fairbanks, Alaska? The DSSAT CERES-Wheat crop simulation model was used to answer this research question. Data consists of DSSAT V4.7.0.0 Files and Field Data. Data in the Field Data files were collected at the University of Alaska Fairbanks small grains variety trial plot in Fairbanks, AK. This field data was input into DSSAT. DSSAT Files were used to calibrate, validate, and apply the DSSAT CERES-Wheat crop simulation model for simulating spring wheat growth (cultivar Ingal) in projected climate change scenarios. These DSSAT files are ready for a modeler to use.
    Data Types:
    • Other
    • Software/Code
    • Tabular Data
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  • This data set contains the entry, descent and landing parameters of Mars lander with approximate estimation reference area, ballistic coefficient and drag force. These parameters have been gathered from research articles and reliable online resources
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    • Dataset
    • Document
  • The dataset contains the data collected in a user study carried out to evaluate the impact of using domain knowledge, ontologies, in the creation of global post-hoc explanations of black-box models. The research hypothesis was that the use of ontologies could enhance the understandability of explanations by humans. To validate this research hypothesis we ran a user study where participants were asked to carry out several tasks. In each task, the answers, time of response, and user understandability and confidence were collected and measured. The data analysis revealed that the use of ontologies do enhance the understandability of explanations of black-box models by human users, in particular, in the form of decision trees explaining artificial neural networks.
    Data Types:
    • Software/Code
    • Tabular Data
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    • Text
  • Measures of a Spanish sample of working and non-working adults with mental illness. Including variables such as perceived personal and group discrimination, internalized stigma, disagnosis concealment, and self-esteem.
    Data Types:
    • Software/Code
    • Dataset