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Butterfly larvae were sampled in field margins at maize anthesis. Larvae were sampled at peak maize anthesis, in maize field margins in Lleida in 2013; two separate anthesis periods were contemplated according to planting date of the maize crops. The first maize crop planted around 15-March to 15-April flowers in July (anthesis I), the second maize crop planted around 15-May to 15-June following harvest of winter cereal, flowers in August (anthesis II). Ten and twelve sites were sampled at each anthesis period, selecting 100 m of two different field margins. All potential larval host plants of butterflies were sampled. The preferred sampling methodology was visual inspection, but in some cases beating sampling was applied. Plant dimensions, sampling method and sampling time were recorded. All Lepidoptera larvae were collected, reared at the laboratory to adult, and identified to species if possible following literature. The excel files show the mean number of butterfly and moth larvae recorded at each sampling site (per 100 m margin). Other information given includes the total plant area sampled and the time spent searching the larval host plants per site.
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Primary and raw data from the manuscript "CACNA1S haploinsufficiency confers resistance to New World arenavirus infection"
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The Kälin and Kochenov Quality of Nationality Index (QNI) ranks the objective quality of nationalities worldwide. It explores three internal factors (economic strength, human development, and peace and stability) and four external factors (diversity and weight of travel freedom and diversity and weight of settlement freedom) which are used to measure the value of virtually all nationalities worldwide. Peace and stability counts for 10% of aggregate value, all other six factors count for 15% each. The QNI has been created by Dr. Christian H. Kälin, Chairman of Henley & Partners, and Prof. Dimitry Kochenov, Professor of European Constitutional Law and Citizenship at the University of Groningen. This dataset is the basis of the Kälin and Kochenov Quality of Nationality Index, edited by Dimitry Kochenov and Justin Lindeboom (Hart Publishing 2019). Measurement and sources: 1) Economic Strength of the country conferring the nationality is measured by GDP, excluding NRR, with power purchasing parity (PPP). GDP with PPP and NRR have been collected from the World Bank. All figures are normalized to a 0-15% scale. 2) Peace and Stability of the country conferring the nationality is measured by reference to the Global Peace Index. All figures are normalized to a 0-10% scale. 3) Human Development of the country conferring the nationality is measured by reference to the UN Human Development Index. All figures are normalized to a 0-15% scale. 4) Diversity of Settlement Freedom refers to the number of foreign countries in which a nationality's holders can freely settle (including the right to work there) without having to obtain a visa or with visa-on-arrival. All figures are normalized to a 0-15% scale. Data is gathered through extensive research with the assistance of regional experts. 5) Weight of Settlement Freedom measures the qualitative value of the foreign countries in which a nationality's holder is allowed to settle freely. Each settlement destination is valued by reference to its Economic Strength and Human Development. The aggregate value of all settlement destinations determines a nationality's weight of settlement freedom. All figures are normalized to a 0-15% scale. 6) Diversity of Travel Freedom measures the number of destinations to which a nationality's holder can travel to visa-free or with visa-on-arrival. All figures are normalized to a 0-15% scale. This data is provided by the International Air Transport Association (IATA). 7) Weight of Travel Freedom measures the qualitative value of visa-free and visa-on-arrival travel destinations, and also relies on data provided by IATA. Each travel destination is valued by reference to its Economic strength and Human Development. The aggregate value of all travel destinations determines a nationality's weight of travel freedom. All figures are normalized to a 0-15% scale. This dataset contains metadata collected for the purpose of the QNI from 2011 to 2018, as well as the resulting rankings.
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Interaction area data in MOOCs
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Non-marginal (average) AWARE CFs and WSI CFs: We provide a shapefile, CSV file and KML file of the average AWARE characterization factors (CFs) based on the marginal AWARE CFs from Boulay et al. (2018). We also provide it together with average WSI factors from Pfister and Bayer (2014), since based on the UNEP SETAC recommendation, AWARE should be used together with an alternative scarcity method to test sensitivities (Jolliet et al. 2018). The XLS version of the average AWARE CFs is available from the original publication: Pfister S, Scherer L, Buxmann K (2020) Water scarcity footprint of hydropower based on a seasonal approach - Global assessment with sensitivities of model assumptions tested on specific cases. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2020.138188 DATA structure: The CSV files lists CFs for each month (01 to 12) and each methods: AWARE_01 stands for original marginal AWARE CFs of January, AWARE_a_01 represents the newly calculated average AWARE CFs for January, WSI_01 are the marginal WSI CFs for January and WSI_AVG_01 the average WSI CFs for January. The CSV file can be linked to WaterGAP watersheds based on the "BAS34S_ID" . The WaterGAP shapefile is e.g. available at http://www.wulca-waterlca.org/aware.html. The Shapefile and KML file follows the same order but are already linked to the watershed shapefile.
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Supplemental tables to the article "Androgenic Alopecia - Crosstalk between Cell Signal Transduction Pathways". Results of pathway analysis of GEO GSE66664 microarray data.
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Collected data from patients
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Exome Array Data from 1019 Han Chinese Bladder Cancer Cases
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The raw data required to reproduce the probability of failure results ( Especially, Figures 8,11, and 12) in this paper are compiled in the form of an attached excel file. The reader can find the data stored in three separate sheets within the excel file attached.
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The THA-col composite was prepared by mixing THA (2.5% w/v) and col 1 (0.5% w/v) with simultaneous gelation induced by hydrogen peroxide and horseradish peroxidase for THA and neutralization for col. The composite biomaterial ink was characterized for fibrillation by turbidity measurement, fluorescence microscopy and rheological properties (shear thinning behaviour and amplitude sweep) were assessed. Anisotropic properties were introduced upon 3D bioprinting (3D DiscoveryTM, RegenHU) the biomaterial ink. Cellular behaviour was investigated by embedding human mesenchymal stromal cell (MSC) spheroids into the hydrogel. Cell migration as well as chondrogenic differentiations was analysed over time by microscopy with subsequent image analysis (Oval plugin, ImageJ, NIH), gene expression analysis, histological stainings and glycosaminoglycan and DNA quantification. The fibrillation of col 1 and the homogenous distribution of the fibers within THA was shown by second harmonic generation imaging and fluorescent imaging and confirmed by turbidity measurement. After 3D bioprinting an anisotropic alignment of col fibrils was achieved that guided cell migration along the fiber orientation. Cell migration of hMSC spheroids showed similar behavior comparing THA-col and col whereas no migration was present for THA only. Chondrogenic differentiation resulted in an increase in cartilage related genes (col 2, aggrecan) with low tendency of hypertrophy (col X, col I, RunX2). Cartilage like matrix deposition was further corroborated by quantification of GAGs within samples that showed an overall increase within 21 days of culture similar to hMSC pellet control group. Safranin O staining resulted confirmed production of proteoglycans . Extrusion based printing has been investigated to produce scaffolds with anisotropic properties on microscale exploiting the shear forces inducing alignment of col fibres within a shear thinning HA matrix. The combination of the two matrix components brings unique features and advantages addressing cell migration, differentiation and material tissue integration compared to the single polymers. THA-col biomaterial has shown its potential for cartilage tissue engineering and represents a potential injectable material for cell free cartilage treatment.
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