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Jülich DATA (Forschungszentrum Jülich GmbH)
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Replication data for Aerosol chemical composition and aerosol source apportionment (PMF) for the JULIAC 2019 campaign
Nov 20, 2025 - Institute of Climate and Energy Systems – Troposphere (ICE-3)
Liu, Lu; Hohaus, Thorsten; Franke, Philipp; Lange, Anne Caroline; Tillmann, Ralf; Fuchs, Hendrik; Tan, Zhaofeng; Rohrer, Franz; Karydis, Vlassis; He, Quanfu; Vardhan, Vaishali; Andres, Stefanie; Bohn, Birger; Holland, Frank; Winter, Benjamin; Wedel, Sergej; Novelli, Anna; Hofzumahaus, Andreas; Wahner, Andreas; Kiendler-Scharr, Astrid, 2024, "Replication data for Aerosol chemical composition and aerosol source apportionment (PMF) for the JULIAC 2019 campaign", https://doi.org/10.26165/JUELICH-DATA/TPPXNL, Jülich DATA, V2
The data is from experiments in the atmospheric simulation chamber SAPHIR. During the JULIAC 2019 campaign, ambient air was continuoulsy sampled from a 50 m high inlet above ground and passed through the SAPHIR chamber with a high flow (residence time of ambient air about 1 hour)...
HR_average_factor_sptectra_for_NO_OOA_for_Org_PMF_Org+NO3_PMF.itx
Plain Text - 43.5 KB - SHA-256: e706fabea89d2297008dbc3f6b86cc3a27ed4f76f8221dc32111f6ca75c8d0fe
Averaged HR spectra containing two types of spectra: one for biomass burning and one for biogenic precursors with two subtypes for Org-PMF and Org+NO3 -PMF
UAV Data Campus Klein-Altendorf 2023
Sep 17, 2025 - Institute of Bio- and Geosciences – Plant Sciences (IBG-2)
Warstat, Kevin; Bendig, Juliane; Pude, Ralf; Rascher, Uwe; Kleppert, Ireneusz; Grygosch, Lars; Muller, Onno, 2024, "UAV Data Campus Klein-Altendorf 2023", https://doi.org/10.26165/JUELICH-DATA/2BYDTH, Jülich DATA, V3
UAV images and processed data of plant plots with multispectral and RGB sensors at the experiemental site Campus Klein-Altendorf at13 different days in 2023. Measurements were taken over the site and included several plots with different plants and different experimental setups....
UAV_CKA_2023_metadata_v2.0.xlsx
MS Excel Spreadsheet - 315.6 KB - SHA-256: 6b247db4cf5dbb155d42ef54b2856c097800954958a1c462eda80623c27a94e0
Metadata File in extended MIAPPE schema.
Experimental Data for: In-situ Study of Coupled Mineral Dissolution and Precipitation Processes with Gas Production in Porous Media Using Magnetic Resonance Imaging
Jun 5, 2025 - Institute of Fusion Energy and Nuclear Waste Management – Nuclear Waste Management (IFN-2)
Wegner, Lara; Pohlmeier, Andreas; Wang, Yumeng; Klinkenberg, Martina; Bosbach, Dirk; Poonoosamy, Jenna, 2024, "Experimental Data for: In-situ Study of Coupled Mineral Dissolution and Precipitation Processes with Gas Production in Porous Media Using Magnetic Resonance Imaging", https://doi.org/10.26165/JUELICH-DATA/OBASAC, Jülich DATA, V3
This data set contains the following experimental data collected on coupled processes with gas production for testing conceptual models in reactive transport codes: Effluent concentrations and mineral transformation of the used minerals in the system, determined relative gas and...
Effluent and Mineral Transformation.xlsx
MS Excel Spreadsheet - 36.3 KB - SHA-256: 3ec0c29106a63f93f006d0e4208599318666f939cc47dc7de66cd3d6abe155a3
Pressure and pH.xlsx
MS Excel Spreadsheet - 35.0 KB - SHA-256: ffaa37036c8f53adcff9e4589a47981870de722440061a68d5bb25242454731b
Read Me.txt
Plain Text - 3.0 KB - SHA-256: 5cd46bc199f2cc4bba3a6b81815be44e88f9dee5342c73430599de4ca1f81e22
Literature Review Data for Modeling Disruptive Events in Renewable Energy Supply: A Review
May 22, 2025 - Institute of Climate and Energy Systems (ICE) – Jülich Systems Analysis (ICE-2)
Wijesinghe, Lovindu; Weinand. Jann Michael; Hoffmann. Maximilian; Stolten. Detlef, 2024, "Literature Review Data for Modeling Disruptive Events in Renewable Energy Supply: A Review", https://doi.org/10.26165/JUELICH-DATA/JPN8L6, Jülich DATA, V3
Data for a literature review on the modeling of disruptive events in renewable energy supply based on articles published between 2003 and September 2023. This datasheet provides a summary for each article reviewed, including the modeling technique used, the category of disruptive...
Literature Review Data for Modeling Disruptive Events in Renewable Energy Supply_V2.xlsx
MS Excel Spreadsheet - 428.9 KB - SHA-256: 2a808df97eed5d30a26ce2c4778e09b4cbcb2b3c1a490d97e6398a27f92ee9b0
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