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z-oracle_3 Aug 1, 2024 - Code and Data for "A General Framework for Regression with Mismatched Data Based on Mixture Modeling" Plain Text - 915.0 KB - MD5: 2a58286266a6d8255c2edbdab15a0445
z-oracle_4 Aug 1, 2024 - Code and Data for "A General Framework for Regression with Mismatched Data Based on Mixture Modeling" Plain Text - 903.0 KB - MD5: 5ce5d5482e3eb359ea394384816f24e3
z-oracle_5 Aug 1, 2024 - Code and Data for "A General Framework for Regression with Mismatched Data Based on Mixture Modeling" Plain Text - 889.7 KB - MD5: 325403c567e133e16609c6fcf9e4b4f3
z-oracle_6 Aug 1, 2024 - Code and Data for "A General Framework for Regression with Mismatched Data Based on Mixture Modeling" Plain Text - 885.9 KB - MD5: d529fff68f69f64e041db7929498e60b
z-oracle_7 Aug 1, 2024 - Code and Data for "A General Framework for Regression with Mismatched Data Based on Mixture Modeling" Plain Text - 884.0 KB - MD5: c6342cf8a531545162ad3f5ccb8b54d1
z-oracle_8 Aug 1, 2024 - Code and Data for "A General Framework for Regression with Mismatched Data Based on Mixture Modeling" Plain Text - 882.5 KB - MD5: 6ae83ad406acd2618643ae7e29ca435a
z-oracle_9 Aug 1, 2024 - Code and Data for "A General Framework for Regression with Mismatched Data Based on Mixture Modeling" Plain Text - 880.6 KB - MD5: bf2655607882e90b0952ed100dd56484
A_Read_Me.txt Jul 19, 2024 - Deformable Object Tracking Dataset (DOT) Plain Text - 4.3 KB - MD5: 0beafc1d91b262e0b37cfb27f83f49db
Aerosol Composition during Dust Storms and Wildfires from the IMPROVE Network Apr 29, 2024 Tong, Daniel Quansong, 2024, "Aerosol Composition during Dust Storms and Wildfires from the IMPROVE Network", https://doi.org/10.13021/ORC2020/EOL1WJ, George Mason University Dataverse, V1 This dataset contains daily observations of PM10, PM2.5 and chemical composition measured by the Interagency Monitoring of Protected Visual Environment (IMPROVE) network. In addition the raw IMPROVE data, local dust storms and wildfire events are identified in a separate column b...
improve_events_2023_all.txt Apr 29, 2024 - Aerosol Composition during Dust Storms and Wildfires from the IMPROVE Network Plain Text - 260.4 MB - MD5: 7718dcb7a8d0b5012f33dbd450c3735e IMPROVE dust and wildfire events

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Aug 1, 2024 - Code and Data for "A General Framework for Regression with Mismatched Data Based on Mixture Modeling"

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z-oracle_4

Aug 1, 2024 - Code and Data for "A General Framework for Regression with Mismatched Data Based on Mixture Modeling"

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Aug 1, 2024 - Code and Data for "A General Framework for Regression with Mismatched Data Based on Mixture Modeling"

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Aug 1, 2024 - Code and Data for "A General Framework for Regression with Mismatched Data Based on Mixture Modeling"

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z-oracle_7

Aug 1, 2024 - Code and Data for "A General Framework for Regression with Mismatched Data Based on Mixture Modeling"

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z-oracle_8

Aug 1, 2024 - Code and Data for "A General Framework for Regression with Mismatched Data Based on Mixture Modeling"

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z-oracle_9

Aug 1, 2024 - Code and Data for "A General Framework for Regression with Mismatched Data Based on Mixture Modeling"

Plain Text - 880.6 KB -

A_Read_Me.txt

Jul 19, 2024 - Deformable Object Tracking Dataset (DOT)

Plain Text - 4.3 KB -

Aerosol Composition during Dust Storms and Wildfires from the IMPROVE Network

Apr 29, 2024

Tong, Daniel Quansong, 2024, "Aerosol Composition during Dust Storms and Wildfires from the IMPROVE Network", https://doi.org/10.13021/ORC2020/EOL1WJ, George Mason University Dataverse, V1

This dataset contains daily observations of PM10, PM2.5 and chemical composition measured by the Interagency Monitoring of Protected Visual Environment (IMPROVE) network. In addition the raw IMPROVE data, local dust storms and wildfire events are identified in a separate column b...

improve_events_2023_all.txt

Apr 29, 2024 - Aerosol Composition during Dust Storms and Wildfires from the IMPROVE Network

Plain Text - 260.4 MB -

IMPROVE dust and wildfire events

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