Solinst Offers Reliable Water Level Datalogging

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Solinst Offers Reliable Water Level Datalogging

机译：Solinst提供可靠的水位数据记录

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The Solinst Levelogger Gold is a self-contained water level and temperature datalogger. It features 0.05% FS accuracy, a 10-year battery, memory for 40,000 sets of readings, and lifetime calibration. Stainless steel housing and a Faraday cage protect against lightning and power surges. A durable stainless steel pressure sensor provides reliable readings even if over-pressurized.

机译：Solinst Levelogger Gold是一个独立的水位和温度数据记录器。它具有0.05％的FS精度，10年的电池，可存储40,000组读数的存储器以及寿命校准。不锈钢外壳和法拉第笼防止雷击和电涌。耐用的不锈钢压力传感器即使压力过大也能提供可靠的读数。

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《Water well journal》 |2010年第6期|P.68|共1页
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收录信息美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
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专利

1. Reliable Water Level Datalogging Attained with Solinst Levelogger Gold [J] . Ground Water Monitoring & Remediation . 2010,第4期

机译：Solinst Levelogger Gold可实现可靠的水位数据记录
2. Cost-Effective Water Level Datalogging from Solinst Has User-Friendly Technology [J] . Water well journal . 2013,第4期

机译：Solinst具有成本效益的水位数据记录具有用户友好的技术
3. Solinst Levelogger Junior Offers Options for Nonstop Water Level and Temperature Recording [J] . Water well journal . 2011,第7期

机译：Solinst Levelogger Junior提供不间断水位和温度记录的选项
4. Extended Length Debris Removal System Offers New Level of Risk Mitigation in Deepwater Completion Operations(PPT) [C] . Yang?Xu?, Sidney?Huval Offshore West Africa Annual Conference and Exhibition . 2012

机译：延长的长度碎片清除系统提供深水完成操作（PPT）的新风险风险缓解
5. A descriptive study of the range and level of mathematics courses offered by institutes of technology in western Canada [D] . Morgan, Leslie Michael. 1972

机译：加拿大西部理工学院提供的数学课程范围和水平的描述性研究
6. Preparation of Polyamidoamine Dendrimer Modified Magnetic Nanoparticles and Its Application for Reliable Measurement of Sudan Red Contaminants in Natural Waters at Parts-Per-Billion Levels [O] . Yalin Wu, Huahua Bai, Qingxiang Zhou, 2021

机译：聚酰胺胺树枝状细胞改性磁性纳米粒子的制备及其在零件 - 每十亿水平天然水域中可靠测量苏丹红污染物的应用
7. ABSTRACTudThe purpose of this research is to obtain an optimal formulations of Black mulberry leaves dried noodle product by using Design Expert Application with Design Mixture D-optimal method.udThis research was done with two phases. The preliminary procedures research is to determine levels of antioxidant activity, chlorophyll content, and the levels of tannin that was contained in black mulberry leaves, the black mulberry leaf flour, a pare fruits, and pare flour. Primary research is to determine the best formulation by using a Mixture Design Expert Design D-optimal method, for a purpose is to optimized the Black mulberry leaf dry noodle. Responses in this studies are a chemical analysis response by using a crude fiber analysis and protein analysis. Physical response is water absorption. Sensory response are color, flavor, and odor.udBlack mulberry leaves dried noodles was made from wheat flour, black mulberry leaf flour, and pare flour, other materials such as an eggs, water, salt, and sodium bicarbonate, of the 16 formulations that has offered to produce an optimal formulation based on desirability which contains 39.69 Flour,14.25 Black Mulberry Leaves flour, 3.06 Pare fruit and flour amounted, and other materials are 30 water, 10 eggs, 2 salt, and 1 sodium bicarbonate. The formulation has been result by program 11,05 crude fiber content, 12.93 protein, 274.31 water absorption, 4,31 for color attribute, 3,87 for taste attribute, and 3,71 for aroma attribute.ududKeyword: Black mulberry leaf dried noodles, optimization. [O] . Leti Nurlatifah Alumni, Yudi Garnida DS, Tantan Widiantara DS 2017

机译：抽象 ud本研究的目的是通过使用带有Design Mixture D-最优方法的Design Expert Application获得黑桑叶干面条产品的最佳配方。 ud这项研究分两个阶段进行。初步程序研究是确定抗氧化剂活性，叶绿素含量以及黑桑叶，黑桑叶粉，果皮和果皮中所含单宁的含量。首要研究是通过使用Mixture Design Expert Design D-optimal方法确定最佳配方，目的是优化黑桑叶干面条。本研究中的反应是通过使用粗纤维分析和蛋白质分析进行的化学分析反应。物理反应是吸水。感官反应是颜色，味道和气味。黑桑叶干面条由小麦粉，黑桑叶粉和削皮粉，鸡蛋，水，盐和碳酸氢钠等其他材料制成，这16种配方可根据需要提供最佳配方其中包含39.69％的面粉，14.25％的黑桑叶面粉，3.06％的去皮水果和面粉，其他材料是30％的水，10％的鸡蛋，2％的盐和1％的碳酸氢钠。该配方是通过程序11,05％的粗纤维含量，12.93％的蛋白质，274.31％的吸水率，4.31的颜色属性，3,87的味道属性和3,71的芳香属性得出的。 ud关键字：黑桑叶干面条，优化。

Solinst Offers Reliable Water Level Datalogging

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