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Original data from the paper "Water-suspended MoO3 nanoparticles prepared by LASIS and fast processing as thin film by ultrasonic spray deposition" by Anderson E. X. Gavim, Mariana Richelle Pereira da Cunha, Edna Regina Spada, Thiago Neves Machado, Arandi Ginane Bezerra Jr, Wido H. Schreiner, Paula Cristina Rodrigues, Abd. Rashid bin Mohd Yusoff, Andreia Gerniski Macedo, Roberto Mendonça Faria, Wilson José da Silva.

Maps of Köppen classification are done from Temperature and precipitation obtained by the Global Circulation Model IPSL-CM5A-LR. The model runs under different scenarios: RCP8.5 and ice sheets melting superimposed to RCP8.5.To reproduce the ice-sheet melting, freshwater is put in the North Atlantic (corresponds to Greenland melting) or around West-Antarctica. Freshwater is introduced between 2020 and 2070 under the RCP8.5 scenario and the total volume corresponds to a sea level rise of 0.5m, 1m, 1.5m and 3m. For the Antarctica and Greenland + Antarctic scenarios, only the 3m scenario is available.Five time series of Global Köppen classification with 20-year running mean are available in this repository. The maps are produced annually with a resolution of 0.5 ° X0.5 ° and contain the 31 classes of Köppen.1951 and 2005 for historical run (historical)2006 and 2099 for RCP8.5 scenarios (RCP85)2006 and 2099 for Greenland melting (GrIS05m, GrIS1m, GrIS15m, GrIS3m)2006 and 2099 for Antamelting (WAIS3m)2006 and 2099 for Greenland melting (GrWAIS3m)The annual maps are in Geotiff format produced by raster library with R langage. Each Köppen's class corresponds to a number between 0 (sea) and 35. The Excel file (Descriptions of classification.xlsx) give the correspondance between the number and the Köppen classification name (abreviations or full name). The legendQGIS_Koppen.qpt permits to draw map from each geotiff file with the correct classes and colors with QGIS.

This is the pumping curves of the three specimens in the laboratory experiments.

This spreadsheet contains a list of 60 predictions of climate-related "apocalyptic" scenarios made by various public figures. This list is part of the raw data examined to investigate how the communication of extreme predictions is made and interpreted. Our research suggests that predictions made by scientists and nonscientists differ in meaningful ways, that the conservatism of the predictions has increased over time, and that the medium of communication does not appear to matter. This data was compiled from various online sources and internet search, with the URLs to the underlying sources provided in the spreadsheet.The data was compiled by analyzing the text of the original sources. Data related to the speakers' birth year and background were obtained from public sources (Wikipedia, institutional biographies, etc).

Research Data Table 1 is a table of the georreferenced historical (literature-based) and species surveys occurrence points for Ctenomys magellanicus (Rodentia, Caviomorpha). These points are the raw data for the analyses performed in this work. Research Data Table 2 is the result of fitting 120 models (EDM) with different features combination.

The data contained in the Excel file is self-explanatory.More information may be added to this section later. Add cookbook info describing variables.

This data contains radiation fields at four different heights. we use it to build the coupled radiation field.

These 285 documents have been used for the three sections that are part of the results of this article (documents statistics, bibliometric analysis, and literature review statistics). For this purpose, it was necessary to carry out an exhaustive review of the 285 selected documents and to complement this information with the data provided by Scopus. The data-charting process was as follows: the four researchers agreed on the types of data to be extracted, two of them carried out the review while the other two supervised. If any type of data worthy of investigation emerged during the reading, it was discussed, and if appropriate, included, making it an iterative process. For each of the documents, the following variables were collected in a table: author/s, title of the document, year of publication, journal in which it was published, type of document (article or review), number of citations and citations per year, relevance (weighting given by Scopus), DOI, geographical location of researchers, abstract, author keywords and keywords suggested by Scopus, JIF, JCI and H-index information of the journal in which the document is published (with quartiles and percentiles), subject area categories provided by Scopus, territory studied, renewable energy source studied, research technique or methodology used, primary data source used and years collected. In addition, for articles using quantitative techniques, all variables included in each model have been collected.