000903420 001__ 903420
000903420 005__ 20211209142057.0
000903420 0247_ $$2doi$$a10.25493/KFQ2-MSA
000903420 037__ $$aFZJ-2021-05102
000903420 1001_ $$0P:(DE-Juel1)144196$$aRuland, Sabine Helene$$b0$$eCorresponding author$$ufzj
000903420 245__ $$aDensity measurements of different receptors for Area ifs4 (IFS) [human, v1.0]
000903420 260__ $$c2021
000903420 3367_ $$2BibTeX$$aMISC
000903420 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1639054241_4793
000903420 3367_ $$026$$2EndNote$$aChart or Table
000903420 3367_ $$2DataCite$$aDataset
000903420 3367_ $$2ORCID$$aDATA_SET
000903420 3367_ $$2DINI$$aResearchData
000903420 500__ $$aEBRAINS
000903420 520__ $$aThis dataset contains the densities (in fmol/mg protein) of 17 receptors for classical neurotransmitters in Area ifs4 (IFS) obtained by means of quantitative in vitro autoradiography. The receptor densities are visualized as fingerprints (fp), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. For exemplary samples, we also provide color-coded laminar autoradiography images (ar). The autoradiography images show an exemplary density distribution of a single receptor for one laminar cross-section in a single tissue sample. Information on the used tissue samples and corresponding subjects for the receptor fingerprints and autoradiographs as well as a list of analyzed receptors accompanies the provided dataset.
000903420 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000903420 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
000903420 588__ $$aDataset connected to DataCite
000903420 650_7 $$2Other$$aNeuroscience
000903420 7001_ $$0P:(DE-Juel1)131701$$aPalomero-Gallagher, N.$$b1$$ufzj
000903420 7001_ $$0P:(DE-Juel1)131631$$aAmunts, K.$$b2$$ufzj
000903420 773__ $$a10.25493/KFQ2-MSA$$y2021
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000903420 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)144196$$aForschungszentrum Jülich$$b0$$kFZJ
000903420 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131701$$aForschungszentrum Jülich$$b1$$kFZJ
000903420 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b2$$kFZJ
000903420 9131_ $$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
000903420 9141_ $$y2021
000903420 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
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000903420 980__ $$aI:(DE-Juel1)INM-1-20090406
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