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FEMININE SYMBOLISM MATA SULAKHANI JI: SIKHISM Dr. Krishan Kumar
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  • Document
TOWARDS RESTRUCTURING THE HR EDUCATION METHODOLOGY AND PEDAGOGICAL APPROACH: HR ACADEMICIAN PERSPECTIVE FROM B-SCHOOLS Bagali M M and Gururaj URS
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  • Document
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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  • Software/Code
  • Tabular Data
  • Document
  • Text
  • File Set
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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Replication dataset for the paper "WE HAVE NO TIME TO LOSE: AN INTRODUCTION TO SURVIVAL ANALYSIS"
Data Types:
  • Tabular Data
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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  • Software/Code
  • Document
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:
  • Tabular Data
  • Document
The deposited contains data, stimuli, and and procedure information and ReadMe files for Plebanek & Sloutsky's Psychological Science article "Costs of Selective Attention: When Children Notice what Adults Miss".
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  • Text
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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  • Tabular Data
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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
Data Types:
  • Tabular Data
  • Document
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