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19,881 to 19,890 of 20,661 Results

PositiveMatrixFactorization_GasPhase_Profiles.csv Nov 3, 2020 - 2016 field campaign BEST-ONE (Beijing winter fine particulate Study - Oxidation, Nucleation, and light Extinctions) Plain Text - 9.8 KB - SHA-256: ec01f533a753dcd5eb94419a459d707cd7d9e8f97a1c95b991bd63d8d67b2967 Profiles of the different pollution sources in the gas-phase based on the outcome of the positive matrix factorization model. File delimiter is the tabstop.
PositiveMatrixFactorization_GasPhase_Timeseries.csv Nov 3, 2020 - 2016 field campaign BEST-ONE (Beijing winter fine particulate Study - Oxidation, Nucleation, and light Extinctions) Plain Text - 409.5 KB - SHA-256: 1c6f5dfe7162cee14e48b6774e38d6d6d7ec1bcac4f499cf8fdc75bedbde8d36 Time-series of the different pollution sources in the gas-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.
PositiveMatrixFactorization_ParticlePhase_Profiles.csv Nov 3, 2020 - 2016 field campaign BEST-ONE (Beijing winter fine particulate Study - Oxidation, Nucleation, and light Extinctions) Plain Text - 53.5 KB - SHA-256: 92f62d627219d8612a516446e96e3ca0363d969e236b233907141346619979dc Profiles of the different pollution sources in the particle-phase based on the outcome of the positive matrix factorization model. File delimiter is the tabstop.
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)
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

PositiveMatrixFactorization_GasPhase_Profiles.csv

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

Plain Text - 9.8 KB - SHA-256: ec01f533a753dcd5eb94419a459d707cd7d9e8f97a1c95b991bd63d8d67b2967

Profiles of the different pollution sources in the gas-phase based on the outcome of the positive matrix factorization model. File delimiter is the tabstop.

PositiveMatrixFactorization_GasPhase_Timeseries.csv

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

Plain Text - 409.5 KB - SHA-256: 1c6f5dfe7162cee14e48b6774e38d6d6d7ec1bcac4f499cf8fdc75bedbde8d36

Time-series of the different pollution sources in the gas-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.

PositiveMatrixFactorization_ParticlePhase_Profiles.csv

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

Plain Text - 53.5 KB - SHA-256: 92f62d627219d8612a516446e96e3ca0363d969e236b233907141346619979dc

Profiles of the different pollution sources in the particle-phase based on the outcome of the positive matrix factorization model. File delimiter is the tabstop.

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)

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

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