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Homer Legacy software is a well-known software for simulation of small hybrid energy systems that can be used for both design and research. This dataset is a set of files generated by Homer Legacy bringing the simulation results of hybrid energy systems over the last seven years, as a consequence of the research work led by Dr. Alexandre Beluco, Federal University of Rio Grande do Sul, in southern Brazil. This dataset is being published in conjunction with a paper in Data Science Journal, which presents further explanations about the hybrid energy systems that were simulated and the papers that publish and discuss the results. The readme.pdf file included in this dataset and the associated article provide more details. These files are made available both for their educational nature, as case studies, and for the possibilities of research that can always be opened from the dissemination of research data. The next steps of this research point to the study of the influence of energetic complementarity on the performance of hybrid systems and to the study of hybrid systems equipped with hybrid storage,
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This is the datasets to produce the main text figures and supplementary figures in the study of Nomura et al. Cell Reports 2020.
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  • Tabular Data
  • Dataset
The wide disparity in adult body size observed both within and among animal taxa has long attracted widespread interest, with several general rules having been proposed to explain trends in body size evolution. Adult body size disparity among the cephalopod mollusks is remarkable, with adult body sizes ranging from a few centimeters to several meters. Some of the smallest cephalopods are found within Pickfordiateuthis, a group comprising four species of squid found in the western Atlantic and tropical eastern Pacific. Pickfordiateuthis pulchella, the type species of the genus, was initially proposed to be closely related to the loliginid squids (Loliginidae), with subsequent descriptions of additional species supporting a placement within Loliginidae. Pickfordiateuthis is remarkable in that all species reach sexual maturity at about one-fifth to one-tenth the size seen in most loliginid species. To date, no phylogenetic analyses have included representatives of Pickfordiateuthis. To infer the phylogenetic position of Pickfordiateuthis and explore its implications for body size evolution, we collected specimens of Pickfordiateuthis pulchella from Brazilian waters and sequenced regions of two loci—the mitochondrial large ribosomal subunit (rrnL a.k.a. 16S) gene and the nuclear gene rhodopsin. Maximum likelihood and Bayesian analyses of these sequences support a placement of Pickfordiateuthis pulchella as sister to a clade comprising the Western Hemisphere loliginid genera Doryteuthis and Lolliguncula. Analyses of body size evolution within Loliginidae suggest that a shift to a smaller body size optimum occurred along the lineage leading to P. pulchella, with some evidence of shifts toward larger sizes in the ancestors of Loligo and Sepioteuthis; these inferences seem to be robust to phylogenetic uncertainty and incomplete taxon sampling. The small size and juvenile-like morphological traits seen in adult Pickfordiateuthis (e.g., sepiolid-like fins and biserial sucker arrangement in the tentacles) may be due to paedomorphosis.
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  • File Set
In a scenario of expanding competition between tourist destinations, DMOs face the challenge of positioning them attractively. To this end, these organizations can make use of various communication marketing strategies, including social media, platforms whose effectiveness is measured through engagement. From these channels originate the digital influencers, which in recent years have gained greater academic and marketing prominence. Given this theoretical foundation, this research aimed to measure the degree of engagement in publications with digital influencers on Instagram of Brazilian DMOs, with time frame between December / 17 and December / 18. To achieve the necessary results for the proposed problem, the data mining technique was used in a sample of 11 Instagram profiles from Brazilian state DMOs, selected after a filtering process. The collected data were treated from a quantitative descriptive approach, having as parameter three main indicators, as follows: (1) total publications, (2) likes and (3) comments. All these indices were defined after consulting the engagement literature. In addition, a T Test was done between paired samples to verify if there was a significative difference on the means. In general, the results indicated that posts with digital influencers have better results, given the proposed time frame, especially when compared with the indexes of general posts. However, inferential statistics indicated that the differences between means were not relevant. In such a way, the strategy of endorsement by influencers does not seem to produce relevant effects on user interaction in the profiles of Brazilian DMOs.The innovative character of this research stems from the use of the data mining technique to deliver accurate results as to the effectiveness of a rising social media strategy, providing managers with a solid framework for analysis and fostering the field of discussion.
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  • Software/Code
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Time series of all experiments involving the reduction of Mn(IV) oxides by arsenite (As(III))
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  • Tabular Data
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The objective of this retrospective study was the evaluation of the outcome of a special interdisciplinary therapy program depending on the beginning of the rehabilitation after the initial injury of the hand or wrist. The outcome of a specialized hand rehabilitation immediately after the treatment program as well as short-term follow-up of 76 patients with injuries of the upper extremity (hand respectively wrist) and CRPS was analysed with the use of self-assessed parameters as well as objective functional scores. The patients were divided into a group with an early (< 120 days after trauma) or late (< 120 days after trauma) beginning of the rehabilitation. Better results for the early beginners were shown with statistical significance for the DASH–Score (p = 0.027) as well as ROM (p = 0.009) at follow-up. Especially patients with CRPS and finger injuries had a benefit. Our study shows the importance of an early beginning especially with respect to function. There are differences in between different injuries or diseases with respect to these effects, especially patients with CRPS seem to profit.
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  • Tabular Data
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Objective: To engage in a priority-setting exercise with both clinicians and consumers to determine systematic reviews of highest priority to update. Study Design & Setting: The US Satellite of the Cochrane Pregnancy & Childbirth Group (US-PCG) narrowed a list of over 600 review titles due for updating down to 97 review titles based on US relevance. The US-PCG then used the Delphi method to explore consensus on which titles to prioritize for updating. In Round 1, participants self-identified as a clinician/researcher or consumer, and then ranked titles into “high”, “medium”, and “low” priority groups. In Round 2, participants were given Round 1 results and asked to rank their top 5 titles. Results were analyzed within and between groups.
Data Types:
  • Slides
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All DEGs and primers sequences for qRT-PCR validation.
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  • Tabular Data
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  • Document
This data set contains: 1) Isothermal titration calorimety (ITC) heat flow for Thisted brine (TB) titrated into Berea sandstone aged with TB and 2*DTB titrated into Berea sandstone aged with TB 2) Pressure measurements from coreflooding experiments 3) Effluent analysis: Ionic composition, alkalinity and iron concentration
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  • Tabular Data
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Data from: Bitomský M., Mládková P., Pakeman RJ, & Duchoslav M. (2020). Clade composition of a plant community indicates its phylogenetic diversity. Ecology and Evolution. doi: 10.1002/ece3.6170 Data summarises results from the case studies and simulations presented in our paper. In addition, we provide an R script for calculation of proposed phylogenetic diversity metrics (the clade indices). Brief description of each file: 1. Grasslands_DNA_markers_info.xls - Accession numbers of all DNA markers used for phylogeny inference in grasslands 2. Grasslands_DNA_alignment_BEFORE_GBlocks.fasta - DNA alignment matrix before utilisation of the GBlocks tool 3. Grasslands_DNA_alignment_AFTER_GBlocks.fasta - DNA alignment matrix after utilisation of the GBlocks tool 4. Grasslands_BEAST_file.xml - BEAST .xml file submitted to the CIPRES portal (www.phylo.org) 5. Grasslands_tree.txt - Dated MCC tree, grasslands (newick format) 6. Grasslands_tree.nex - Dated MCC tree, grasslands (nexus format) 7. Phyto-database_pruned_tree.txt - Pruned dated tree from the super tree of European flora (Durka & Michalski 2012, Ecology), phytosociological database (newick format) 8. Plot_data.slx - plot data of all case studies + species lists 9. Simulation_results.txt - Summary of R2 values (phylogeny-based metric ~ the clade index) for simulated phylogenies and community matrices (manipulated: phylogenetic scale, species pool size and species richness range) 10. Bitomsky2020EE_R_script_indices.R - An R script for computation of the clade indices (with notes and examples)
Data Types:
  • Software/Code
  • Sequencing Data
  • Tabular Data
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  • Document
  • Text
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