Metrics
1,251,429 Downloads
Contact Share

Find and cite data across all research fields.
Choose LibraData below to share and archive your data

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 55,856 Results
va_residence_locations.csv.xz
Apr 28, 2026 - Synthetic Population for Virginia, US (ver. 2.4.0)
XZ Archive - 32.9 MB - MD5: cab93db949662cfa6789e39f58d583fb
va_residence_locations.csv.xz is a list of the residence locations for our synthetic representation of Virginia where people conduct their home activities (activity type 1).
Optimizing Machine Learning Approaches to Explore Binary Metallic Alloys for Active Cooling Applications
Apr 26, 2026 - LibraData: UVa's Scholarly Research
Das, Sree Sourav, 2026, "Optimizing Machine Learning Approaches to Explore Binary Metallic Alloys for Active Cooling Applications", https://doi.org/10.18130/V3/7NYJAE, University of Virginia Dataverse, V1
Data as a part of data sharing for journal publication
Metallic_alloy.xlsx
Apr 26, 2026 - Optimizing Machine Learning Approaches to Explore Binary Metallic Alloys for Active Cooling Applications
MS Excel Spreadsheet - 2.1 MB - MD5: 0f70c6c374dac265c3515d6ef6ab56d9
Dataset used for training and Testing
Prediction_of_RF_approaches_in_1010_1600K.xlsx
Apr 26, 2026 - Optimizing Machine Learning Approaches to Explore Binary Metallic Alloys for Active Cooling Applications
MS Excel Spreadsheet - 17.2 KB - MD5: ec5659c7ea6569e3b746b18ab85cae52
Validation_Set_RF_predictions
Prediction_of_RF_approaches_in_10_360K.xlsx
Apr 26, 2026 - Optimizing Machine Learning Approaches to Explore Binary Metallic Alloys for Active Cooling Applications
MS Excel Spreadsheet - 37.0 KB - MD5: 3897baace6734dfeaaa7df44421715cb
Validation_Set_RF_predictions
Prediction_of_RF_approaches_in_360_700K.xlsx
Apr 26, 2026 - Optimizing Machine Learning Approaches to Explore Binary Metallic Alloys for Active Cooling Applications
MS Excel Spreadsheet - 23.5 KB - MD5: 0c33b68dfa5d8660ce871b531eb37b1f
Validation_Set_RF_predictions
Prediction_of_RF_approaches_in_700_1000K.xlsx
Apr 26, 2026 - Optimizing Machine Learning Approaches to Explore Binary Metallic Alloys for Active Cooling Applications
MS Excel Spreadsheet - 16.9 KB - MD5: a8dcf3cd6173bea2c3372d195523e9fa
Validation_Set_RF_predictions
rf_all_temp_bin_sign_hyperparams_new_approach_3.xlsx
Apr 26, 2026 - Optimizing Machine Learning Approaches to Explore Binary Metallic Alloys for Active Cooling Applications
MS Excel Spreadsheet - 20.5 KB - MD5: 58583afa48bb9a9ba7a58ec7f96b8ee4
rf_bootstrap_negative_hyperparams_Approach_2.xlsx
Apr 26, 2026 - Optimizing Machine Learning Approaches to Explore Binary Metallic Alloys for Active Cooling Applications
MS Excel Spreadsheet - 7.3 KB - MD5: 5b5f121c7ae354cc997af54eabf1ea04
rf_bootstrap_positive_hyperparams_Approach_2.xlsx
Apr 26, 2026 - Optimizing Machine Learning Approaches to Explore Binary Metallic Alloys for Active Cooling Applications
MS Excel Spreadsheet - 7.3 KB - MD5: 6ed6403ff4c6c316b19df64e1e1fb672
Add Data

Log in to create a dataverse or add a dataset.

Log In
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.