In this paper, we present and analyze a novel global database of soil infiltration measurements, the Soil Water Infiltration Global (SWIG) database. In total, 5023 infiltration curves were collected across all continents in the SWIG database. These data were either provided and quality checked by the scientists who performed the experiments or they were digitized from published articles. Data from 54 different countries were included in the database with major contributions from Iran, China, and the USA. In addition to its extensive geographical coverage, the collected infiltration curves cover research from 1976 to late 2017. Basic information on measurement location and method, soil properties, and land use was gathered along with the infiltration data, making the database valuable for the development of pedotransfer functions (PTFs) for estimating soil hydraulic properties, for the evaluation of infiltration measurement methods, and for developing and validating infiltration models. Soil textural information (clay, silt, and sand content) is available for 3842 out of 5023 infiltration measurements (∼ 76%) covering nearly all soil USDA textural classes except for the sandy clay and silt classes. Information on land use is available for 76 % of the experimental sites with agricultural land use as the dominant type (∼ 40%). We are convinced that the SWIG database will allow for a better parameterization of the infiltration process in land surface models and for testing infiltration models. All collected data and related soil characteristics are provided online in *.xlsx and *.csv formats for reference, and we add a disclaimer that the database is for public domain use only and can be copied freely by referencing it. Supplementary data are available at https://doi.org/10.1594/PANGAEA.885492 (Rahmati et al., 2018). Data quality assessment is strongly advised prior to any use of this database. Finally, we would like to encourage scientists to extend and update the SWIG database by uploading new data to it.

The mechanisms by which obesity alters the cerebral function and the effect of weight loss on the brain have not been completely clarified. The objective of the study was to assess the effect of bariatric surgery on the cognitive function and cerebral metabolism. Seventeen obese women were studied prior to and 24 weeks after bariatric surgery using neuropsychological tests and positron emission tomography. The study was conducted in a reference center for the treatment of obesity of a Brazilian public university. Thirty-three women paired by age and level of education made up two groups: 17 severely obese patients and 16 lean patients. They did not have diabetes mellitus or a family history of dementia. Comparison of performance in neuropsychological tests and cerebral metabolism of the obese women before and after bariatric surgery was measured. The results found at the two moments were compared with those of the women of normal weight. Women with a mean age of 40.5 years and mean body mass index of 50.1 kg/m(2) when compared with women with mean body mass index of 22.3 kg/m(2) showed increased cerebral metabolism, especially in the posterior cingulate gyrus (P < .004). No difference was found between the groups for the neuropsychological tests. After 24 weeks the cerebral metabolism of the obese women was lower, similar to the lean women, and there was an improvement of executive function, accompanying changes of metabolic and inflammatory parameters. Obese women may have increased cerebral metabolism when compared with women of normal weight, and this appears to reverse after weight loss induced by bariatric surgery, accompanied by improved executive function.

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