metadata.yaml

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assetsSummary:
  approach:
  - name: electrophysiological approach
    schemaKey: ApproachType
  - name: optogenetic approach
    schemaKey: ApproachType
  - name: behavioral approach
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  dataStandard:
  - identifier: RRID:SCR_015242
    name: Neurodata Without Borders (NWB)
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  - name: analytical technique
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  - name: surgical technique
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  - name: spike sorting technique
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  - name: multi electrode extracellular electrophysiology recording technique
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  - name: signal filtering technique
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  numberOfBytes: 113558681447
  numberOfFiles: 25
  numberOfSubjects: 25
  schemaKey: AssetsSummary
  species:
  - identifier: http://purl.obolibrary.org/obo/NCBITaxon_10090
    name: Mus musculus - House mouse
    schemaKey: SpeciesType
  variableMeasured:
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  - ElectrodeGroup
  - ElectricalSeries
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citation: "Calvigioni, Daniela; Fuzik, Janos; Le Merre, Pierre; Slashcheva, Marina;
  Jung, Felix; Ortiz, Cantin; Lentini, Antonio; Csillag, Veronika; Graziano, Marta;
  Nikolakopoulou, Ifigeneia; Weglage, Moritz; Lazaridis, Iakovos; Kim, Hoseok; Lenzi,
  Irene; Park, Hyunsoo; Reinius, Bj\xF6rn; Carl\xE9n, Marie; Meletis, Konstantinos
  (2023) Esr1+ hypothalamic-habenula neurons shape aversive states (Version 0.230417.1502)
  [Data set]. DANDI archive. https://doi.org/10.48324/dandi.000473/0.230417.1502"
contributor:
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  email: daniela.calvigioni@ki.se
  identifier: 0000-0002-6122-9744
  includeInCitation: true
  name: Calvigioni, Daniela
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- affiliation: []
  email: janos.fuzik@ki.se
  identifier: 0000-0002-5408-4882
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  name: Fuzik, Janos
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- affiliation: []
  email: pierre.le.merre@ki.se
  identifier: 0000-0003-4205-7411
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  name: Le Merre, Pierre
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  email: marina.slashcheva@ki.se
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  name: Slashcheva, Marina
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  - dcite:Author
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- affiliation: []
  email: felix.jung@ki.se
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  name: Jung, Felix
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- affiliation: []
  email: cantin.ortiz@pasteur.fr
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  name: Ortiz, Cantin
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  email: antonio.lentini@ki.se
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  name: Lentini, Antonio
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  email: veronika.csillag@ki.se
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  name: Csillag, Veronika
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  email: marta.graziano@ki.se
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  name: Graziano, Marta
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  email: ifigeneia.nikolakopoulou@ki.se
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  name: Nikolakopoulou, Ifigeneia
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  email: moritz.weglage@ki.se
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  name: Weglage, Moritz
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- affiliation: []
  email: iaklaz@mit.edu
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  name: Lazaridis, Iakovos
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- affiliation: []
  email: kim.hoseok@ki.se
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  name: Kim, Hoseok
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- affiliation: []
  includeInCitation: true
  name: Lenzi, Irene
  roleName:
  - dcite:Author
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- affiliation: []
  includeInCitation: true
  name: Park, Hyunsoo
  roleName:
  - dcite:Author
  schemaKey: Person
- affiliation: []
  email: "Bj\xF6rn Reinius <bjorn.reinius@ki.se>"
  includeInCitation: true
  name: "Reinius, Bj\xF6rn"
  roleName:
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- affiliation: []
  email: marie.carlen@ki.se
  identifier: 0000-0003-1658-1631
  includeInCitation: true
  name: "Carl\xE9n, Marie"
  roleName:
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  - dcite:Conceptualization
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  email: dinos.meletis@ki.se
  identifier: 0000-0001-5665-4781
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  name: Meletis, Konstantinos
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dateCreated: '2023-04-12T14:12:01.809823+00:00'
datePublished: '2023-04-17T15:02:02.873022+00:00'
description: Prefrontal cortex (PFC) high-density extracellular recordings (Neuropixels)
  in head-fixed mice during an aversive-conditioning task. Neuronal responses to internally
  generated (i.e. pathway-specific optogenetic activation, see the main article for
  details) and externally derived (i.e. air puffs) aversive signals have been recorded.
doi: 10.48324/dandi.000473/0.230417.1502
ethicsApproval: []
id: DANDI:000473/0.230417.1502
identifier: DANDI:000473
keywords:
- Neuropixels
- Mouse
- Head-fixed
- Lateral Hypothalamus
- Lateral Habenula
- Prefrontal cortex
- Aversion
license:
- spdx:CC-BY-4.0
manifestLocation:
- https://dandiarchive.s3.amazonaws.com/dandisets/000473/0.230417.1502/assets.yaml
name: Esr1+ hypothalamic-habenula neurons shape aversive states.
protocol: []
publishedBy:
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    name: DANDI API
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    version: 0.1.0
relatedResource:
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  name: Github code
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  repository: Esr1_NPX_code
  schemaKey: Resource
  url: https://github.com/PierreLeMerre/Esr1_NPX_code
repository: https://dandiarchive.org
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schemaVersion: 0.6.4
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url: https://dandiarchive.org/dandiset/000473/0.230417.1502
version: 0.230417.1502
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