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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.
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Pacemaker neurons exert control over neuronal circuit function by their intrinsic ability to generate rhythmic bursts of action potential. Recent work has identified rhythmic gut contractions in human, mice and hydra to be dependent on both neurons and the resident microbiota. However, little is known about the evolutionary origin of these neurons and their interaction with microbes. In this study, we identified and functionally characterized prototypical ANO/SCN/TRPM ion channel expressing pacemaker cells in the basal metazoan Hydra by using a combination of single-cell transcriptomics, immunochemistry, and functional experiments. Unexpectedly, these prototypical pacemaker neurons express a rich set of immune-related genes mediating their interaction with the microbial environment. Functional experiments validated a model of the evolutionary emergence of pacemaker cells as neurons using components of innate immunity to interact with the microbial environment and ion channels to generate rhythmic contractions. Data includes: Full count matrices for all the plates: - SS_038.rsem_counts.txt.gz - SS_039.rsem_counts.txt.gz - SS_040.rsem_counts.txt.gz Full expression matrix after cell filtering: raw_count_table_seurat_filter_cluster_ID_191009_SG.txt.gz Metadata with cluster assignment: cell_seurat_clusters_identity.txt.gz
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this Data reveals all results founded in this research paper
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Dados para análise fatorial exploratória para a composição do modelo de dados.
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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.
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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.
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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.
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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.
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This is the original data of our research about economic policy uncertainty and stock liquidity from China. Our data come from two main sources, that is CSMAR and Wind database. The sample consists of the A-share listed companies from 2004 to 2017 in both Shanghai and Shenzhen Stock Exchange. We then filter the sample by: (1) delete the sample of financial and insurance industry; (2) remove the sample of abnormal companies such as special treated firms and particular transfer firms; (3) delete samples with asset-liability ratio greater than 1 and other variables with missing values; (4) winsorise the continuous variables at the 1st and 99th percentiles in order to eliminate potential outlier effects. The final sample consists of 97,729 firms.
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GIS data associated with Neugarten RA et al. 2020. Trends in protected area representation of biodiversity and ecosystem services in five tropical countries. Ecosystem Services 42:101078. Includes data from Cambodia, Guyana, Liberia, Madagascar, and Suriname Datasets included: country boundaries, protected areas in 2003 and 2017, biodiversity priority areas, forest cover in 2003 and 2015, forest carbon stocks, non-timber forest products, and freshwater ecosystem services
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