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10.1038/sdata.2018.125 http://scihub22266oqcxt.onion/10.1038/sdata.2018.125 C6038847!6038847!29989593     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\29989593.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Sci+Data 2018 ; 5 (�): � Nephropedia Template TP {{tp|p=29989593|t=2018. The Chemical and Products Database, a resource for exposure-relevant data on chemicals in consumer products |pdf=|usr=}}{{29989593}} gab.com Text The Chemical and Products Database, a resource for exposure-relevant data on chemicals in consumer products JO: Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=29989593 #FOAvip Quantitative data on product chemical composition is a necessary parameter for characterizing near-field exposure. This data set comprises reported and predicted information on more than 75,000 chemicals and more than 15,000 consumer products. The data?s primary intended use is for exposure, risk, and safety assessments. The data set includes specific products with quantitative or qualitative ingredient information, which has been publicly disclosed through material safety data sheets (MSDS) and ingredient lists. A single product category from a refined and harmonized set of categories has been assigned to each product. The data set also contains information on the functional role of chemicals in products, which can inform predictions of the concentrations in which they occur. These data will be useful to exposure and risk assessors evaluating chemical and product safety. Twit Text FOAVip The Chemical and Products Database, a resource for exposure-relevant data on chemicals in consumer products ????Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=29989593 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29989593 #FOAvip English Wikipedia <ref>{{Cite pmid|29989593}}</ref> The Chemical and Products Database, a resource for exposure-relevant data on chemicals in consumer products #MMPMID29989593 Dionisio KL; Phillips K; Price PS; Grulke CM; Williams A; Biryol D; Hong T; Isaacs KK Sci Data 2018[]; 5 (�): � PMID29989593show ga Quantitative data on product chemical composition is a necessary parameter for characterizing near-field exposure. This data set comprises reported and predicted information on more than 75,000 chemicals and more than 15,000 consumer products. The data?s primary intended use is for exposure, risk, and safety assessments. The data set includes specific products with quantitative or qualitative ingredient information, which has been publicly disclosed through material safety data sheets (MSDS) and ingredient lists. A single product category from a refined and harmonized set of categories has been assigned to each product. The data set also contains information on the functional role of chemicals in products, which can inform predictions of the concentrations in which they occur. These data will be useful to exposure and risk assessors evaluating chemical and product safety. �The Chemical and Products Database, a resource for exposure-relevant d(epmc).pdf DeepDyve Pubget Overpricing