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24,301 to 24,310 of 25,083 Results

PositiveMatrixFactorization_ParticlePhase_Timeseries.csv Nov 3, 2020 - 2016 field campaign BEST-ONE (Beijing winter fine particulate Study - Oxidation, Nucleation, and light Extinctions) Plain Text - 375.8 KB - SHA-256: 04c1af1388f28d4c534155be6c3d685120a5638862450b3a9345a04170125da1 Time-series of the different pollution sources in the particle-phase based on the outcome of the positive matrix factorization model. The value -9999 is given to non-existing data. File delimiter is the tabstop.
Institute of Climate and Energy Systems – Troposphere (ICE-3)(Forschungszentrum Jülich) Oct 27, 2020 Institute of Climate and Energy Systems (ICE) - Troposphere (ICE-3)
Computational Neurology Dataverse(Forschungszentrum Jülich) Sep 10, 2020Institute of Neuroscience and Medicine – Cognitive Neuroscience (INM-3)
Institute of Neuroscience and Medicine – Cognitive Neuroscience (INM-3)(Forschungszentrum Jülich) Sep 10, 2020 The dataverse of the Institute of Neuroscience and Medicine – Cognitive Neuroscience (INM-3)
ELPVPower: A dataset for large scale PV power prediction using EL images of cells Aug 28, 2020 - EL images Dataverse Hoffmann, Mathis; Buerhop-Lutz, Claudia; Reeb, Luca; Pickel, Tobias; Winkler, Thilo; Doll, Bernd; Würfl, Tobias; Peters, Ian Marius; Brabec, Christoph J.; Maier, Andreas; Christlein, Vincent, 2020, "ELPVPower: A dataset for large scale PV power prediction using EL images of cells", https://doi.org/10.26165/JUELICH-DATA/TVWUUP, Jülich DATA, V1 Measurements are provided in the folder `data` as PNG-Images. The original measurements have been rescaled to the range [0, 255] globally, such that intensities between measurements are comparable. The dataset comes with a file `data.csv` that provides additional meta data associ...
000.png Aug 28, 2020 - ELPVPower: A dataset for large scale PV power prediction using EL images of cells PNG Image - 496.9 KB - SHA-256: d837586cda00ba70a3ed49c4a535bc733dde111a3602ba42143ef879d54246ca
001.png Aug 28, 2020 - ELPVPower: A dataset for large scale PV power prediction using EL images of cells PNG Image - 498.1 KB - SHA-256: a5cf5cc388feda09438db6932a60e6eab10974eb02246797c3b29ec6e3f6640c
002.png Aug 28, 2020 - ELPVPower: A dataset for large scale PV power prediction using EL images of cells PNG Image - 498.2 KB - SHA-256: d7053a268e34a7b395e63bca9d889f876efbba54f32d18efc0d7c1ed23427311
003.png Aug 28, 2020 - ELPVPower: A dataset for large scale PV power prediction using EL images of cells PNG Image - 499.6 KB - SHA-256: 19b6a4d80d07d74265b20201b2c42728647e285034c82e4e0a7de3955ca1a031
004.png Aug 28, 2020 - ELPVPower: A dataset for large scale PV power prediction using EL images of cells PNG Image - 498.1 KB - SHA-256: f894dac069b74825f9b8b20936e6f38e701c0165db020c1ae20816bf9d80535a

PositiveMatrixFactorization_ParticlePhase_Timeseries.csv

Nov 3, 2020 - 2016 field campaign BEST-ONE (Beijing winter fine particulate Study - Oxidation, Nucleation, and light Extinctions)

Plain Text - 375.8 KB - SHA-256: 04c1af1388f28d4c534155be6c3d685120a5638862450b3a9345a04170125da1

Time-series of the different pollution sources in the particle-phase based on the outcome of the positive matrix factorization model. The value -9999 is given to non-existing data. File delimiter is the tabstop.

Institute of Climate and Energy Systems – Troposphere (ICE-3)(Forschungszentrum Jülich)

Oct 27, 2020

Institute of Climate and Energy Systems (ICE) - Troposphere (ICE-3)

Computational Neurology Dataverse(Forschungszentrum Jülich)

Sep 10, 2020Institute of Neuroscience and Medicine – Cognitive Neuroscience (INM-3)

Institute of Neuroscience and Medicine – Cognitive Neuroscience (INM-3)(Forschungszentrum Jülich)

Sep 10, 2020

The dataverse of the Institute of Neuroscience and Medicine – Cognitive Neuroscience (INM-3)

ELPVPower: A dataset for large scale PV power prediction using EL images of cells

Aug 28, 2020 - EL images Dataverse

Hoffmann, Mathis; Buerhop-Lutz, Claudia; Reeb, Luca; Pickel, Tobias; Winkler, Thilo; Doll, Bernd; Würfl, Tobias; Peters, Ian Marius; Brabec, Christoph J.; Maier, Andreas; Christlein, Vincent, 2020, "ELPVPower: A dataset for large scale PV power prediction using EL images of cells", https://doi.org/10.26165/JUELICH-DATA/TVWUUP, Jülich DATA, V1

Measurements are provided in the folder `data` as PNG-Images. The original measurements have been rescaled to the range [0, 255] globally, such that intensities between measurements are comparable. The dataset comes with a file `data.csv` that provides additional meta data associ...

000.png

Aug 28, 2020 - ELPVPower: A dataset for large scale PV power prediction using EL images of cells

PNG Image - 496.9 KB - SHA-256: d837586cda00ba70a3ed49c4a535bc733dde111a3602ba42143ef879d54246ca

001.png

Aug 28, 2020 - ELPVPower: A dataset for large scale PV power prediction using EL images of cells

PNG Image - 498.1 KB - SHA-256: a5cf5cc388feda09438db6932a60e6eab10974eb02246797c3b29ec6e3f6640c

002.png

Aug 28, 2020 - ELPVPower: A dataset for large scale PV power prediction using EL images of cells

PNG Image - 498.2 KB - SHA-256: d7053a268e34a7b395e63bca9d889f876efbba54f32d18efc0d7c1ed23427311

003.png

Aug 28, 2020 - ELPVPower: A dataset for large scale PV power prediction using EL images of cells

PNG Image - 499.6 KB - SHA-256: 19b6a4d80d07d74265b20201b2c42728647e285034c82e4e0a7de3955ca1a031

004.png

Aug 28, 2020 - ELPVPower: A dataset for large scale PV power prediction using EL images of cells

PNG Image - 498.1 KB - SHA-256: f894dac069b74825f9b8b20936e6f38e701c0165db020c1ae20816bf9d80535a

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