Contributors:Lilian Franco-Belussi, Diogo Borges Provete, Rinneu Borges, Classius de Oliveira, Lia Raquel Santos
This dataset comprehends data and and associated R code used to run the analysis for the paper. We also include an R Markdown Dynamic document. We tested whether the amount of melanomacrophages and hepatic cellular catabolism substances are influenced by land use changes in the Brazilian Cerrado. Data contains the Environmental matrix (Q) composed of the land use classes for each samplimg site, species trait (R) matrix with content of each pigment in cells, averaged from all individuals, and species composition matrix (L) with the species incidence in all sampling sites.
Raw data of the manuscript "Reduction of bacteria in relation to feeding regimes when treating aquaculture waste in fly larvae composting", regarding larval growth and process parameters, and daily inactivation of microorganisms. With these raw data, anyone can calculate larval growth parameters, process performance parameters and the inactivation of microorganisms, using the described equations and steps in the manuscript.
Contributors:Nikolai Hulde, Armin Zittermann, Marcus-Andre Deutsch, Vera von Dossow, Jan Gummert, Andreas Koster
In cardiac surgical patients, tranexamic acid (TXA) increases the risk of convulsive seizures (CS), an effect which is probably dose- and procedure-dependent. We assessed in elective valvular open-heart surgery the effect of a moderate TXA dose without body weight (BW) adjustment on CS. Out of a cohort of 13,293 patients, we performed a propensity score (PS)–matched analysis in 6,106 patients. In subgroup analyses, we tried to identify groups of increased CS risk. Moreover, we assessed the multivariable-adjusted association of CS with postoperative mortality.
Data supporting a paper by that name. Data on Hadza hunting, African herbivores maximum speed, Energetic net return on acquisition of animals by size, Fat content of African herbivores, Biomass density of herbivores in African game reserves, datasets for faunal biomass comparisons of Acheulian and Acheulo-Yabrudian sites in the Levant, Early and Late Middle Pleistocene sites in East Africa and Mousterian and Aurignacian sites in France.
The present dataset includes data and figures relative to the submitted paper " Detection of formation boundary using transient multicomponent electromagnetic logging while drilling method " currently under review in Journal of Petroleum Science and Engineering.
Contributors:Giovanni Caudullo, Erik Welk, Jesús San-Miguel-Ayanz
The data are organized as a set of ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) mapping the distribution ranges of the main European tree and shrub species. For each species and in some cases subspecies, one or more shapefiles have been created containing: a) polygon features (name suffix “plg”), which define continuous areas of occupancy of the species range and b) point features (name suffix “pnt”), which identify more fragmented and isolated populations. For species with reported synanthropic occurrences outside the natural range, an additional point and/or polygon shapefile has also been created (suffix “syn”). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix “clip”), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). Finally, an accompanying text document is included with the data, which provides more details on methodology and a list of all mapped species with related file names, taxonomical delimitation of the mapped species and references used to compile the respective chorological dataset.
10,000 fake data were generated using GAN based on the probability distribution of the real transfer length test data. The discriminator and generator networks consist of a total of 10 layers, and each layer is made up of 100 nodes. As with the ANN model, batch normalization and a 20% dropout rate were applied to each layer, and the PReLU activation function was used in the layers other than the output layer. In order to shorten the training time, Adam was used as an optimization algorithm (or optimizer), and the learning rates of the discriminator and generator were set to 0.01 and 0.0033%, respectively, to perform the training process up to 39,000 epochs.
The result showed that the distributions and correlations of the fake data are similar to that of the real data
This is the datasets for "Active Dissolved Organic Nitrogen Cycling Neighboring High Dissolved Inorganic Nitrogen Content in Yellow River", including:
(1) The concentration of DIN and DON before and after TFF treatment
(2) The Recovery of TFF and SPE
(3) δ15N of DON10kDa