000903419 001__ 903419
000903419 005__ 20211209142057.0
000903419 0247_ $$2doi$$a10.25493/DT51-FSR
000903419 037__ $$aFZJ-2021-05101
000903419 1001_ $$0P:(DE-Juel1)144196$$aRuland, Sabine Helene$$b0$$eCorresponding author$$ufzj
000903419 245__ $$aDensity measurements of different receptors for Area ifs3 (IFS) [human, v1.0]
000903419 260__ $$c2021
000903419 3367_ $$2BibTeX$$aMISC
000903419 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1639054260_4180
000903419 3367_ $$026$$2EndNote$$aChart or Table
000903419 3367_ $$2DataCite$$aDataset
000903419 3367_ $$2ORCID$$aDATA_SET
000903419 3367_ $$2DINI$$aResearchData
000903419 500__ $$aEBRAINS
000903419 520__ $$aThis dataset contains the densities (in fmol/mg protein) of 17 receptors for classical neurotransmitters in Area ifs3 (IFS) obtained by means of quantitative in vitro autoradiography. The receptor densities are visualized as fingerprints (fp), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. For exemplary samples, we also provide color-coded laminar autoradiography images (ar). The autoradiography images show an exemplary density distribution of a single receptor for one laminar cross-section in a single tissue sample. Information on the used tissue samples and corresponding subjects for the receptor fingerprints and autoradiographs as well as a list of analyzed receptors accompanies the provided dataset.
000903419 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000903419 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
000903419 588__ $$aDataset connected to DataCite
000903419 650_7 $$2Other$$aNeuroscience
000903419 7001_ $$0P:(DE-Juel1)131701$$aPalomero-Gallagher, N.$$b1$$ufzj
000903419 7001_ $$0P:(DE-Juel1)131631$$aAmunts, K.$$b2$$ufzj
000903419 773__ $$a10.25493/DT51-FSR$$y2021
000903419 909CO $$ooai:juser.fz-juelich.de:903419$$popenaire$$pVDB$$pec_fundedresources
000903419 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)144196$$aForschungszentrum Jülich$$b0$$kFZJ
000903419 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131701$$aForschungszentrum Jülich$$b1$$kFZJ
000903419 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b2$$kFZJ
000903419 9131_ $$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
000903419 9141_ $$y2021
000903419 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000903419 980__ $$adataset
000903419 980__ $$aVDB
000903419 980__ $$aI:(DE-Juel1)INM-1-20090406
000903419 980__ $$aUNRESTRICTED