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Jülich DATA (Forschungszentrum Jülich GmbH)
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Jülich DATA is the central institutional repository for research data of Forschungszentrum Jülich.

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21,841 to 21,850 of 23,679 Results
Data of ClNO2 for Campaign JULIAC 2019
May 31, 2022 - Institute of Climate and Energy Systems – Troposphere (ICE-3)
Tan, Zhaofeng; Fuchs, Hendrik; Hofzumahaus, Andreas; Bloss, William; Bohn, Birger; Cho, Changmin; Hohaus, Thorsten; Holland, Frank; Lakshmisha, Chandrakiran; Liu, Lu; Monks, Paul; Novelli, Anna; Niether, Doreen; Rohrer, Franz; Tillmann, Ralf; Valkenburg, Thalassa; Vardhan, Vaishali; Kiendler-Scharr, Astrid; Wahner, Andreas; Sommariva, Roberto, 2022, "Data of ClNO2 for Campaign JULIAC 2019", https://doi.org/10.26165/JUELICH-DATA/XG6YGZ, Jülich DATA, V1
This is a data set for ClNO2 analysis during the JULIAC campaign. The data is from experiments in the atmospheric simulation chamber SAPHIR (three months) or were directly taken from the inlet (two months). Gas-phase species, meteorological paramters and aerosol properties were m...
Juliac1.300s.cal.ts.enz
application/x-endnote-connect - 3.7 MB - SHA-256: 92b89dea87ae47a34d7080dec27dcf65f841b4297774adbcd19fbc89a91c13e8
Measurements conducted in SAPHIR in Feburary 2019.
Juliac3.300s.cal.ts.enz
application/x-endnote-connect - 12.6 MB - SHA-256: d8d2d30752ea20f573b605f89ab6da7821fd39a58783813c1f1b18e90ee7366b
Measurements conducted in SAPHIR in August 2019.
Juliac4.300s.cal.ts.enz
application/x-endnote-connect - 12.9 MB - SHA-256: 89899adce18466b9f3c9454cdbb09c1c598fe09949a5103785bf530e5c264621
Measurements conducted in SAPHIR in Novermber 2019.
post_juliac3.300s.cal.ts.enz
application/x-endnote-connect - 5.4 MB - SHA-256: f133182ed0e4cc20040ae0f223a5e3e0402fed72cce72ea0d155c3964fa50901
Measurements conducted at the JULIAC inlet in September 2019.
post_juliac4.300s.cal.ts.enz
application/x-endnote-connect - 5.7 MB - SHA-256: c2eaee46a37a79b28d93c73b7ea6c8d7ce64973ccd760d60c79c6349e415dee0
Measurements conducted at the JULIAC inlet in December 2019.
Dynamic Synchronization Toolbox
Dynamic Synchronization Toolbox
May 11, 2022 - Computational Neurology Dataverse
Rosjat, Nils, 2021, "Dynamic Synchronization Toolbox", https://doi.org/10.26165/JUELICH-DATA/BRXHZ9, Jülich DATA, V2
Implementation of generalized scripts as they were used for analysis of: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects", https://doi.org/10.26165/JUELICH-DATA/T1PKNZ, Jülich...
average_rplv.m
MATLAB Source Code - 659 B - SHA-256: 1f383156ac742e243aa580665fbbb2a9db51443f7813c14b5a434b9a732dbb2a
check_intervals.m
MATLAB Source Code - 1.1 KB - SHA-256: 08201f8f6bbb372628dd9a3af3fef2e90ec35993223b0ca41343474f025251bd
community.m
MATLAB Source Code - 1.7 KB - SHA-256: fcb40ebd5bad6080a42f1315f4412aec7006c51087dc43119249e51edbc15024
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