five

(1E,4E)-terephthalaldehyde oxime

收藏
DataCite Commons2025-11-03 更新2026-04-25 收录
下载链接:
https://www.chemotion-repository.net/inchikey/UFJKQCPYFKAUEO-NXZHAISVSA-N.1
下载链接
链接失效反馈
官方服务:
资源简介:
This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367]. The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]: InChI descriptor[cheminf_000113]: InChI=1S/C8H8N2O2/c11-9-5-7-1-2-8(4-3-7)6-10-12/h1-6,11-12H/b9-5+,10-6+, and canonical SMILES descriptor[cheminf_000007]: O/N=C/c1ccc(cc1)/C=N/O, and by the IUPAC name[cheminf_000107]: (NE)-N-[[4-[(E)-hydroxyiminomethyl]phenyl]methylidene]hydroxylamine. The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]: The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-56870 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]: Melting point descriptor[CHEMINF_000256]: Boiling point descriptor[CHEMINF_000257]: Refractive index descriptor[CHEMINF_000253]: The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]: CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR) CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR) CHMO:0002541 | high-resolution electrospray ionisation time-of-flight mass spectrometry (HR-ESI-TOF-MS) The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: Used ontologies: CHEBI - Chemical Entities of Biological Interest CHEMINF - chemical information ontology (information entities about chemical entities) CHMO - Chemical Methods Ontology OBI - Ontology for Biomedical Investigations
提供机构:
chemotion-repository
创建时间:
2025-11-03
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作