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  • To identify and quantify all the useful plant, animal, and aquatic species utilized by rural households and communities in the Dryland Systems CRP sites, as well as information on markets attended and general socioeconomic household characteristics. Within each species, the number of types/varieties/breeds at the household-level that are: (a) grown on farm and home garden, or collected from the wild; (b) consumed as part of the diet; and (c) purchased and sold in the study sites. Information was collected for each species on its place of production or collection (farm, home garden, collected in the wild, etc.), the objective for its production or collection (Self-consumption, sale in the market, both), its different uses (food, medicine, animal feed, building material, processing, etc.), seasonality, the number of types, varieties and breeds recognized and used, key characteristics of its seed system (sources of seed, transactions and social relationships), and the water regime associated with its production (rainfed, irrigated, water harvest, etc.). Socioeconomic data collected were: family size, land owned and cultivated, water resources, housing, ownership of consumer goods, sources of income, social networking etc. This information will be used to characterize three dimensions of ABD: (1) diversity in the production system, including on farm and common lands; (2) dietary diversity; and (3) market diversity; in terms of the elements and relationships involved and the exogenous factors that influence their status and dynamics. These data will be the basis for analyzing the roles of ABD (Agricultural Biodiversity) in the lives and livelihoods of these rural populations in order to identify entry points for designing and implementing interventions that contribute to improve their well-being. A household survey with a representative random sample of 50 households per village for the sections/villages sampled for overall baseline survey in the Ntcheu District of Malawi. Data was collected from from sections/villages selcted from extension areas (EPAs). The total sample size is 340 households. Four extenstion planning areas in the Ntcheu District of Malawi were surveyed: Manjawira, Nsipe, Sharpevale and Tsangano
    Data Types:
    • Tabular Data
    • Document
  • The questionnaire elicited information on foods consumed and their sources for selected mothers and children of the households interviewed for the ABD-Assessment (24-hour recall); information on young and child feeding practices; and on household food secuirty. All data on foods are classified by food group. In the same households selected for the ABD-Assessment, one woman per household was selected. The first choice of respondent was a woman that had a child between 6 and 59 months old; if no woman was available with a child between 6 and 59 months, the interview was perfomred with the woman that usually takes care of the food preparation in the household. In case there were more women with children between 6 and 59 months living in the household,one of them was selected randomly . The same procedure was done if more than one child of the selected woman is eligible to participate in the study. Four extenstion planning areas in the Ntcheu District of Malawi were surveyed: Manjawira, Nsipe, Sharpevale and Tsangano
    Data Types:
    • Tabular Data
    • Document
  • Cumulative observation tables (aggregated by week) beginning 2014-05-13 and ending 2016-12-31
    Data Types:
    • Text
    • File Set
  • Constam três folhas: 1 - matriz binária com propriedades RiC e taxa (tipologias documentais); 2 - matriz binária simples (processamento em DendroUPGMA); 3 - 3 outputs de DendroUPGMA: matriz bicaudal de similaridade, de distâncias e formato Newick.
    Data Types:
    • Tabular Data
  • Enterobacter spp. possess chromosomal AmpC beta-lactamases that may be expressed at high levels. Previous studies have demonstrated a risk of relapsed bacteraemia following therapy with third generation cephalosporins (3GCs). What additional factors predict microbiological failure in Enterobacter bacteraemia is unclear. We aimed to determine factors associated with microbiological failure in Enterobacter bacteraemia, and retrospectively identified cases of bacteraemia caused by Enterobacter spp. occurring in four hospitals in New South Wales and Queensland, Australia. Using a case-control design, we determined clinical risk factors for persistence or relapse defined as repeated positive blood cultures collected between 72 hours and up to 28 days post initial positive blood culture.
    Data Types:
    • Tabular Data
  • Station Names (in Chinese) for 1497 ground monitoring stations with Lat and Long coordinates in Decimal Degrees. (The original data had missing x, y values for 15 of the stations which we have researched and added).
    Data Types:
    • Tabular Data
    • Text
  • Replication files for "Disasters and Elections: Estimating the Net Effect of Damage and Relief in Historical Perspective," by Boris Heersink, Brenton D. Peterson, and Jeffery A. Jenkins.
    Data Types:
    • Software/Code
    • Tabular Data
    • Text
  • We show that unexpected financial windfalls increase corruption in local government. Our analysis uses a new data set on flood-related transfers, and the associated spending infringements, which the Bulgarian central government distributed to municipalities following torrential rains in 2004 and 2005. Using information from the publicly available audit reports, we are able to build a unique objective index of corruption. We also exploit the quasi-random nature of the rainfall shock (conditional on controls for ground flood risk) to isolate exogenous variation in the amount of funds received by each municipality.
    Data Types:
    • Software/Code
    • Tabular Data
  • AQI air quality observations from ground monitoring stations in China are collected and stored PostGresql (three times each day). The AQI values are coded to Locations which have mappable x, y coordinates in a seperate cumulative locations table.
    Data Types:
    • Tabular Data
    • Document
    • Text
  • ADEPT trial
    Data Types:
    • Tabular Data
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