000903418 001__ 903418
000903418 005__ 20211209142057.0
000903418 0247_ $$2doi$$a10.25493/HFPF-6AZ
000903418 037__ $$aFZJ-2021-05100
000903418 1001_ $$0P:(DE-Juel1)144196$$aRuland, Sabine Helene$$b0$$eCorresponding author$$ufzj
000903418 245__ $$aDensity measurements of different receptors for Area ifs2 (IFS) [human, v1.0]
000903418 260__ $$c2021
000903418 3367_ $$2BibTeX$$aMISC
000903418 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1639054292_4793
000903418 3367_ $$026$$2EndNote$$aChart or Table
000903418 3367_ $$2DataCite$$aDataset
000903418 3367_ $$2ORCID$$aDATA_SET
000903418 3367_ $$2DINI$$aResearchData
000903418 500__ $$aEBRAINS
000903418 520__ $$aThis dataset contains the densities (in fmol/mg protein) of 17 receptors for classical neurotransmitters in Area ifs2 (IFS) obtained by means of quantitative in vitro autoradiography. The receptor densities are visualized as fingerprints (fp), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. For exemplary samples, we also provide color-coded laminar autoradiography images (ar). The autoradiography images show an exemplary density distribution of a single receptor for one laminar cross-section in a single tissue sample. Information on the used tissue samples and corresponding subjects for the receptor fingerprints and autoradiographs as well as a list of analyzed receptors accompanies the provided dataset.
000903418 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000903418 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
000903418 588__ $$aDataset connected to DataCite
000903418 650_7 $$2Other$$aNeuroscience
000903418 7001_ $$0P:(DE-Juel1)131701$$aPalomero-Gallagher, N.$$b1$$ufzj
000903418 7001_ $$0P:(DE-Juel1)131631$$aAmunts, K.$$b2$$ufzj
000903418 773__ $$a10.25493/HFPF-6AZ$$y2021
000903418 909CO $$ooai:juser.fz-juelich.de:903418$$popenaire$$pVDB$$pec_fundedresources
000903418 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)144196$$aForschungszentrum Jülich$$b0$$kFZJ
000903418 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131701$$aForschungszentrum Jülich$$b1$$kFZJ
000903418 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b2$$kFZJ
000903418 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5254$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
000903418 9141_ $$y2021
000903418 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000903418 980__ $$adataset
000903418 980__ $$aVDB
000903418 980__ $$aI:(DE-Juel1)INM-1-20090406
000903418 980__ $$aUNRESTRICTED