Metrics
1,990,869 Downloads
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

241 to 250 of 134,709 Results
Unknown - 919.3 KB - MD5: f38b85bd6f93da4faf5660c7b9649551
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
Unknown - 919.8 KB - MD5: 1c3a3c5c3ba9840aaa34ed2b0899d87e
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
Unknown - 923.8 KB - MD5: 00e0cfdafe73e82ab26fbe8788810da6
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
Unknown - 923.7 KB - MD5: 054f1d6197cb9ca1653a9c7a404e967a
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
Unknown - 921.0 KB - MD5: f37d05c3a389df203aeabbc696b41d31
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
Unknown - 928.7 KB - MD5: 84b1a77af42e920009d68b7fece9090c
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
Unknown - 926.9 KB - MD5: 3f376044416327878b557721f6c53210
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
Unknown - 926.8 KB - MD5: 8f398cc86e5229f227da0c930e911841
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
Unknown - 930.1 KB - MD5: 26153ddd8efa27b2222b76a6f8d3d656
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
Unknown - 927.8 KB - MD5: ceb79459ab61ed740628ebd13da2de4f
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.