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Cores of the sediments from Oblong Tarn, Mount Kenya, were collected in 1983 and 1986, and were conventional radiocarbon dated to examine late Holocene glacier history of the mountain. Subsequently pollen samples were taken from both cores to create a composite pollen record.
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The Labour Force Survey is a twice-yearly rotating panel household survey, specifically designed to measure the dynamics of employment and unemployment in the country. It plans to measure a variety of issues related to the labour market, including unemployment rates (official and expanded), according to standard definitions of the International Labour Organisation (ILO). 5 data files. Person data: 98,748; Workers data: 67,836; Migrant data: 6,248 cases; House data: 26,835 cases; Stratpsu (Stratum and PSU numbers) data: 2,699 cases;
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The IES is a five-yearly household survey based on the sample for the rotating panel of the twice yearly Labour force Survey (LFS). It measures the detailed income and expenditure of households. The survey was done by means of an interview with the household head or a responsible adult and the questionnaire was completed by the enumerator during this interview. In cases where the household requested to complete the questionnaire themselves, it was dropped off by the enumerator, and the completed questionnaire was collected at a second visit. There are 4 data files. General data: no cases; Home Grown Products (Part 22): 31, 302 cases; Person data (from flap, part 2404): 104, 153 cases; Worker (domestic) data (from part 4): 2, 701.
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This is a dataset of roll-call votes in the UN General Assembly 1946-2015. It also contains Affinity of Nations scores and ideal point estimates derived from these votes. The Bailey, Strezhnev, and Voeten paper cited below explains why ideal point estimates rather than Affinity scores should be used. Please consult the codebooks for more detailed information. Latest update corrects some errors in raw votes for the 69th session (thanks to Stela Rubinova for pointing these out). Please check back frequently for updates on the ideal point estimates as we are performing some sensitivity tests.
Data Types:
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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
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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
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Cumulative observation tables (aggregated by week) beginning 2014-05-13 and ending 2016-12-31
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A series of focus group discussions (FGDs) to elicit the local knowledge about the agricultural and wild biodiversity present in the study areas in order to generate: (a) an inventory (list) of all useful plant, and animal species used by local communities for human food, animal feed, medicine, fuel, housing, farming tools, etc. and their local names; (b) an inventory of all foods consumed; (c) an inventory of species and products bought and sold in markets that people in the village attend. Two FGDs per village in three villages. FGDs were held separately for men and women in order to collect gender disaggregated data. In each of the three villages, two focus group discussions were held separately. One with men and the other with women. Each group will deal with the three aspects for discussion: Useful biological diversity in the production system; Market diversity; and Dietary diversity. There were between 10-16 participants in each group. Each group tried to include a cross-section of individuals involved in agricultural production or at least collecting useful plants from common lands and the wild, representing different levels of access to land (land owners, local land renters and migrant land renters), different ethnic groups present in the village and different age groups (special emphasis should be placed to include younger farmers). For each group there were two facilitators, one to guide the exercise and the other to document the process (take notes, photographs, etc.). The data were elicited using the four-square methodology explained in the Protocol document. Three villages in the Bijapur District: Mannur, Nandyal, Balaganur.
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M. smegmatis on Al2O3 in media of various pH values, and SiO2-based capture substrates coated with various concentrations of pDADMAC compared with analogous smears. Total magnification 200X.
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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
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