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20 locations along the flume and 15 time snaps after the dam breaks were considered for data collecting. Consequently, a total of 18,000 water level and sediment depth data points were collected to prepare four datasets, which are uploaded in the public repository "Mendeley Data". A total of 9600 water level data points could be accessed in [9], [10], while 8400 sediment depth data points are available online in [11], [12] and could be utilized for validation and practical purposes by other researchers. This data article is related to another research article entitled "Experimental study and numerical verification of silted-up dam-break" [13].The Euro Spatial Diffusion Observatory (ESDO) database records face-to-face questionnaire surveys conducted between March 2002 and December 2011 in France, in December 2003 in Belgium and in December 2005 in Germany. Selleckchem Z-VAD-FMK The data provides information on the coins contained in the respondents' wallets at the time of the survey, classified by country of origin and value. A series of control variables provide information on the socioeconomic profile of the respondents and the location of their place of residence at the NUTS 3 level. In total, more than 22,500 people opened their wallets and about 300,000 coins were registered allowing the tracking of euro coins circulation from their country of introduction on January 1, 2002 (or later for countries that joined the euro zone afterwards) to their place of observation at the time of the survey.Genetic pathways regulating hematopoietic lineage commitment at critical stages of development remain incompletely characterized. To better delineate genetic sources of variability regulating cellular speciation during steady-state hematopoiesis, we applied a factorial single-cell latent variable model (f-scLVM) to decompose single-cell transcriptome heterogeneity into interpretable biological factors (refined pathway annotations or gene sets without annotation) dynamically regulating cell fate. Hematopoietic single cell transcriptomic raw sequencing data extracted from 1,920 hematopoietic stem and progenitor cells (HSPCs) derived from 12-week-old female mice were used for data analysis and model development. These single cell RNA sequencing data were subsequently analyzed using the factorial single-cell latent variable model (f-scLVM), with their heterogeneity decomposed into interpretable biological factors. The top biological factors underlying the basal hematopoiesis were subsequently identified for the aggregate, and lineage-restricted (myeloid, megakaryocyte, erythroid) progenitor cells. For a subset of factors, data were independently verified experimentally in a companion research paper [1]. These data facilitate the identification of novel subpopulations and adjust gene sets to discover new marker genes and hidden confounding factors driving basal hematopoiesis.Contemporary models representing the thermal conductivity of ice Ih as a function of temperature are based on data from published experiments that span over a century. Each model is derived using specific datasets with distinct experimental setups, temperature ranges, and uncertainties. Model errors introduced by inaccurate digitization and biased datapoints are challenging to trace due to a lack of transparency of the primary data. This dataset is a collection of published thermal conductivity data for ice Ih, including both tabulated and digitized data, presented in the original units. Specific samples or pressure conditions are noted where applicable. The dataset also includes a survey of published thermal conductivity models, providing the valid temperature range, accuracy and uncertainty (where noted in the original publication), and the primary data sources. link2 Importantly, the dataset includes notes that were contained in the original publication or subsequent publications that provide additional context for the data. This dataset is used to derive a new thermal conductivity model which best represents the thermal conductivity of ice Ih for temperatures greater than 30 K. Statistics are provided to evaluate the fit of each thermal conductivity model in the survey of published models to the comprehensive dataset presented here. This dataset is constructed in support of the work "New insights into temperature-dependent ice properties and their effect on ice shell convection for icy ocean worlds" [1].Predicting the number of total children ever born in a country is a key component for proper implementation of economic growth policy. Here, performance metrics were used to predict models that appropriately describe the factors that affect children ever born. A comparison of 60% training and 40% validation, 70% training and 30% validation, 80% training and 20% validation also 90% training and 10% validation was performed respectively to examine the three models' behaviours (Poisson regression, Negative Binomial regression and Generalized Poisson regression) with RMSE, R2, MAE and MSE as performance metrics. Although all the three models had almost identical performance evaluation metrics, the Poisson regression was chosen as the most appropriate model because it is the simplest model.To date urea and ammonium are two nitrogen (N) forms widely used in agriculture. Due to a low production cost, urea is the N form most applied in agriculture. However, its stability in the soil depends on the activity of microbial ureases, that operate the hydrolysis of urea into ammonium. In the soil ammonium is subjected to fast volatilization in form of ammonia, an environmental N loss that contributes to the atmospheric pollution and impacts on farm economies. Based on these considerations, the optimization of N fertilization is useful in order to maximize N acquired by crops and at the same time limit N losses in the environment. The use of mixed nitrogen forms in cultivated soils allows to have urea and ammonium simultaneously available for the root acquisition after a fertilization event. A combination of different N-sources is known to lead to positive effects on the nutritional status of crops. It is plausible suppose that N acquisition mechanisms in plants might be responsive to N forms available in maize roots. Depending on nutritional treatment, no significant changes in seedling biomass were observed comparing N treatments. At both sampling times, an overall higher N accumulation in shoots and roots were detected when the inorganic N sources were applied to nutrient solutions (as ammonium or nitrate). 15N experiments indicated that in comparison to -N seedlings, urea fed seedlings showed an increase of N accumulation and data showed that ureic-N was taken up by seedlings in lower amounts than inorganic N-forms. Through EA-IRMS, ICP-OES and ICP-MS a multielemental composition of maize tissues was performed as well as gene expression analyses by Real-time RT-PCR that allowed to monitor the expression profile of genes most involved in urea and ammonium nutritional pathways.There had been an urgent call for the collection of standardized data describing clinical presentations, severity, outcomes, and epidemiology of COVID-19 by the World Health Organization (WHO). These data were expected to compliment the national pandemic data collated from countries by the World Health Organization (WHO). Nigeria, among other countries, is not an exception. This survey collected data on the respondent's knowledge on COVID-19, their attitude and practices towards the control of the spread of COVID-19 amongst Nigerians. The data were collected through an online survey. There were 1320 respondents from Nigeria that answered the survey questions. The survey was conducted between March 31 and April 28, 2020 which were within the lockdown period in the country. These data could serve as auxiliary information and/or research data for other researchers in Nigeria. It could also serve as guide or reference data to other researchers outside Nigeria who may be interested in carrying out similar research in another country.Understanding which trees farmers prefer, what determines their survival and enhancing farmer knowledge of tree management is key to increasing tree cover in agricultural landscapes. This article presents data on tree seedling survival under different tree planting and management practices in Kenya and Ethiopia. Data were collected from 1600 households across three Counties in Kenya and 173 households across four Woredas in Ethiopia, using a structured questionnaire which was administered through the Open Data Kit. Data on seedling survival were collected at least six months after tree seedlings were planted. To understand how planting and management practices influence tree planting across the different socioeconomic and biophysical contexts, both household level and individual tree level data were collected. Household level data included socio-economic and biophysical characteristics of the households while tree specific data included when the tree seedling was planted, where it was planted, the management practices employed and whether surviving. The datasets described in this article help understand which options confer the best chance survival for the planted seedlings and in which socio-economic and biophysical contexts they are most successful.This Data in Brief article provides supplementary information about how we explored aid effectiveness of Taiwanese government's horticulture project in the Marshall Islands. The issue of sustainable development in small island developing countries has become increasingly important [1], [2], [3]. Moreover, Non-communicable diseases (NCDs) have become more serious in the Pacific Islands in recent years, adversely affecting people's health. The data will also benefit those interested in understanding the eating habits in the Pacific Islands. We selected and assigned participants (using household as a unit) of the project to the experimental group and non-participants to the control group to evaluate the impact of the horticulture project. link3 As for data collection in the field, we collected data through a structured questionnaire. We recruited one interviewer to conduct household surveys in the field for 40 days from April to June in 2017. A total of 96 valid questionnaires were collected, including 36 participants and 60 non-participants. The average household consumption of vegetables and fruits is 6.18 units (SD=7.84). Comparing project participants with non-participants, consumption of vegetables and fruits of the participants is 1.96 units higher than non-participants (P = 0.062).Transport costs can play a significant role in agricultural exports and businesses profitability. It can also influence farmers' decisions regarding cropland expansion, intensification or land abandonment. Thus, transport is useful to take into account when modeling and evaluating land use and cover change related to agriculture production. The dataset described in this article represents the Infrastructure Capital in the work presented by Millington et al. (2021) [1], in which the CRAFTY-Brazil model is used to evaluate the impacts of changing global demand for agricultural products on land use and cover change. This modeling required a transport cost dataset that spanned the model calibration period, was consistent through time and covered the entire study area. The most recent federal road network (for year 2017) obtained in vector format (shapefile) was joined to road section surface status tables for past years (2000, 2005 and 2010) in order to reconstruct the historic road network. Export ports handling agricultural commodities, and their years of operation, were identified.