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296961

Sigma-Aldrich

Lithium diisopropylamide

10 wt. % suspension in hexanes

Synonym(s):
LDA
Linear Formula:
[(CH3)2CH]2NLi
CAS Number:
Molecular Weight:
107.12
Beilstein:
3655042
MDL number:
PubChem Substance ID:
NACRES:
NA.22

Quality Level

vapor density

>1 (vs air)

concentration

10 wt. % suspension in hexanes

density

0.864 g/mL at 25 °C (lit.)

SMILES string

[Li]N(C(C)C)C(C)C

InChI

1S/C6H14N.Li/c1-5(2)7-6(3)4;/h5-6H,1-4H3;/q-1;+1

InChI key

ZCSHNCUQKCANBX-UHFFFAOYSA-N

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Certificate of Analysis

Certificate of Origin

Juan Eugenio Iglesias et al.
NeuroImage, 115, 117-137 (2015-05-06)
Automated analysis of MRI data of the subregions of the hippocampus requires computational atlases built at a higher resolution than those that are typically used in current neuroimaging studies. Here we describe the construction of a statistical atlas of the...
Joshua D Schaefferkoetter et al.
Physics in medicine and biology, 60(14), 5543-5556 (2015-07-03)
In the context of investigating the potential of low-dose PET imaging for screening applications, we developed methods to assess small lesion detectability as a function of the number of counts in the scan. We present here our methods and preliminary...
Paweł Mandera et al.
Quarterly journal of experimental psychology (2006), 68(8), 1623-1642 (2015-02-20)
Subjective ratings for age of acquisition, concreteness, affective valence, and many other variables are an important element of psycholinguistic research. However, even for well-studied languages, ratings usually cover just a small part of the vocabulary. A possible solution involves using...
Putri W Novianti et al.
BMC bioinformatics, 16, 199-199 (2015-06-22)
Class prediction models have been shown to have varying performances in clinical gene expression datasets. Previous evaluation studies, mostly done in the field of cancer, showed that the accuracy of class prediction models differs from dataset to dataset and depends...
Erwei Yin et al.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 23(4), 693-701 (2015-02-24)
The present study proposes a hybrid brain-computer interface (BCI) with 64 selectable items based on the fusion of P300 and steady-state visually evoked potential (SSVEP) brain signals. With this approach, row/column (RC) P300 and two-step SSVEP paradigms were integrated to...

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