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1 to 10 of 1,021 Results

Replication Data for: A Comprehensive Dataset for Climate Analysis and Weather Prediction Dec 9, 2024 Chen, Bingzhe, 2024, "Replication Data for: A Comprehensive Dataset for Climate Analysis and Weather Prediction", https://doi.org/10.18130/V3/9HUMM1, University of Virginia Dataverse, V1 The dataset includes secondary data derived from ERA5 raw GRIB files, which are publicly available through the Copernicus Climate Data Store. ERA5 is a comprehensive global climate reanalysis dataset that provides hourly estimates of a wide array of atmospheric, land, and oceanic variables. The raw GRIB files contain high-resolution data at a spati...
522c7966bf7121a0ef80a12ec223d5af.grib Dec 9, 2024 - Replication Data for: A Comprehensive Dataset for Climate Analysis and Weather Prediction Unknown - 688.5 MB - MD5: dbe5d1f40b33499c10a2443fb6e3d964 2024 ERA5 data
6d689956151f055eb4faef10a270a18f.grib Dec 9, 2024 - Replication Data for: A Comprehensive Dataset for Climate Analysis and Weather Prediction Unknown - 3.4 GB - MD5: 2523da2f887cf32998f11e649d2fe7f6 2023 ERA5 data
Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests Apr 28, 2022 Johnson, Cecile K.; Schmuckler, Hannah E., 2022, "Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests", https://doi.org/10.18130/V3/6RUBPV, University of Virginia Dataverse, V3, UNF:6:GoXKO00nFvmtn7RuMdHoBQ== [fileUNF] Contains crosswalks, forests generated using them, test results and full prediction outputs.
readme.txt Apr 28, 2022 - Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests Plain Text - 11.1 KB - MD5: b998e74986eca90fb86ee9927ec9b461
confusion_1976from_ind_1983_1991_IND.tab Apr 6, 2022 - Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests Tabular Data - 89.0 KB - 213 Variables, 213 Observations - UNF:6:lQZDcEkSC/1agsJr878K4g==
confusion_1976from_ind_1992_2002_IND.tab Apr 6, 2022 - Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests Tabular Data - 89.0 KB - 213 Variables, 213 Observations - UNF:6:TjOtZ0jPXYz9vD5jl67P8A==
confusion_1976from_ind_2003_2008_IND.tab Apr 6, 2022 - Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests Tabular Data - 89.0 KB - 213 Variables, 213 Observations - UNF:6:IirU6sQnZ7S2ApKnTFUeVw==
confusion_1976from_ind_2009_2013_IND.tab Apr 6, 2022 - Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests Tabular Data - 89.0 KB - 213 Variables, 213 Observations - UNF:6:lEAhV+ZowSBkJpRVI1NmUw==
confusion_1976from_ind_2014_2019_IND.tab Apr 6, 2022 - Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests Tabular Data - 89.0 KB - 213 Variables, 213 Observations - UNF:6:lEAhV+ZowSBkJpRVI1NmUw==

Replication Data for: A Comprehensive Dataset for Climate Analysis and Weather Prediction

Dec 9, 2024

Chen, Bingzhe, 2024, "Replication Data for: A Comprehensive Dataset for Climate Analysis and Weather Prediction", https://doi.org/10.18130/V3/9HUMM1, University of Virginia Dataverse, V1

The dataset includes secondary data derived from ERA5 raw GRIB files, which are publicly available through the Copernicus Climate Data Store. ERA5 is a comprehensive global climate reanalysis dataset that provides hourly estimates of a wide array of atmospheric, land, and oceanic variables. The raw GRIB files contain high-resolution data at a spati...

522c7966bf7121a0ef80a12ec223d5af.grib

Dec 9, 2024 - Replication Data for: A Comprehensive Dataset for Climate Analysis and Weather Prediction

Unknown - 688.5 MB -

2024 ERA5 data

6d689956151f055eb4faef10a270a18f.grib

Dec 9, 2024 - Replication Data for: A Comprehensive Dataset for Climate Analysis and Weather Prediction

Unknown - 3.4 GB -

2023 ERA5 data

Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests

Apr 28, 2022

Johnson, Cecile K.; Schmuckler, Hannah E., 2022, "Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests", https://doi.org/10.18130/V3/6RUBPV, University of Virginia Dataverse, V3, UNF:6:GoXKO00nFvmtn7RuMdHoBQ== [fileUNF]

Contains crosswalks, forests generated using them, test results and full prediction outputs.

readme.txt

Apr 28, 2022 - Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests

Plain Text - 11.1 KB -

confusion_1976from_ind_1983_1991_IND.tab

Apr 6, 2022 - Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests