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3,041 to 3,044 of 3,044 Results

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.
README.md Aug 28, 2020 - ELPVPower: A dataset for large scale PV power prediction using EL images of cells Markdown Text - 1.1 KB - SHA-256: 83f24cc1f9991283cc577965c054d18580a50f268e96c999f1db9caab234b20d

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.

README.md

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

Markdown Text - 1.1 KB - SHA-256: 83f24cc1f9991283cc577965c054d18580a50f268e96c999f1db9caab234b20d

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