Kaplan Bloom (stormdebtor4)

The general elections of 2015 in Spain took place in the middle of the Great Recession after several years of austerity economic policies. This election caused a political earthquake that shook the Spanish party system. During the campaign of that election, GIPEyOP (Elections and Public Opinion Research Group from University of Valencia) conducted a survey to collect relevant data about the electorate beliefs, intentions and motivations. This article describes the data set attained, which comprises 71 variables after removing, to ensure full anonymity, those variables that would potentially allow respondents to be identified. Respondents answered a self-administered online questionnaire and were recruited using chain sampling. A total of 14,261 valid observations were collected between 27th November and 18th December 2015. GIPEyOP employed the data collected up to 14th December to deliver a prediction of the election outcomes during that election campaign. Among other issues, this data set may be reused to assess theories of expectations' formation, to spot how social networks spread geographically and to measure gender, age and education technological gap of the Spanish population.The data presented here are related to the article entitled "Soil functions are affected by transition from conventional to organic mulch-based cropping system"[1]. Data were collected in 2016 in a processing tomato field located near Perugia, Italy. In details, data were collected in three differently managed processing tomato cropping systems conventional integrated (INT); traditional organic with cover crops and conventional tillage (ORG); and organic coupled with conservation agriculture, with mulch-based cover crop and no-tillage (ORG+). We report data on the impact of each cropping system on crop biomass and yield, soil physicochemical properties, size and structure of soil microbial community, soil invertebrate biodiversity and habitat provision (predator-prey trophic interactions).This submission contains the complete balanced process matrix of an off-grid community system primarily powered by a micro-hydroelectric powerplant. The system is meant to provide the needs of the community for electricity, potable water and ice. The system also considers the provision of a diesel engine generator set as a back-up to provide electricity. The data serves as inputs to simulate the performance of the system under different drought scenarios. The data provided here is in support of the co-submitted article of Aviso et al. [1].A dataset is presented of an experiment that was conducted to compare the proportions of males obtained from hormonal sex reversed pure strain of Oreochromis shiranus and from interspecific hybridization of O.karongae male x O. shiranus female. Part of the data in the dataset were published in a journal article https//doi.org/10.1016/j.aqrep.2020.100274. The data were generated from four SETs of treatments of an experiment that was conducted at the National Aquaculture Center, in Malawi. The first SET of treatment comprised hybrids from interspecific crossing of O.karongae male and O. shiranus female in a pond based breeding hapa 1. SETs 2 and 4 were for fry from hapa spawned pure cross of O.shiranus males and females in a pond based breeding hapa 2. SET 3 comprised fry from pure cross of O. shiranus males and females under controlled temperature (27°C) in an indoor re-circulatory hatchery (Tables 1 to 4). During the first part of the experiment, the fry was raised for 28 days in tanks at three replicates andto investigate if the observed sex ratios significantly deviated from the expected sex ratios at 5% level of significance. The differences among fish body weights were determined using Analysis of Variance and significantly different means were separated using Duncan's multiple range test at the 5% test level of significance. These data are useful for various stakeholders that are interested in sexing juvenile tilapia and fo