Metrics
1,837,820 Downloads
Contact Share
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

41 to 50 of 138,122 Results
00_ReadMe.md
Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.
Markdown Text - 5.8 KB - MD5: 1100ca3456432e3de7660367408bf319
Description of the dataset.
00_ReadMe.txt
Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.
Plain Text - 6.5 KB - MD5: e5cab828e3e375849aec71ffd9f6c8a6
Description of the dataset.
main.py
Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.
Python Source Code - 14.2 KB - MD5: d69365b0d4241ba0018aae90f31927d5
Main script file
model.py
Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.
Python Source Code - 4.0 KB - MD5: a3d78306f675376e4895213660a14255
Model configuration
preprocess_data.py
Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.
Python Source Code - 5.2 KB - MD5: e006c550ef9aee497f120f172918073f
Data preprocessing
PyTools.py
Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.
Python Source Code - 3.0 KB - MD5: bf4e23a1c30e805ca2d7d0be1c6a98a1
Helper tools
Replication Data for: Análisis contrastivo de los marcadores pragmáticos de vaguedad es que y en plan en el español coloquial actual: indexicalidad social y microhistoria
Feb 23, 2026 - TROLLing
Van Den Driessche, Nele; Enghels, Renata, 2026, "Replication Data for: Análisis contrastivo de los marcadores pragmáticos de vaguedad es que y en plan en el español coloquial actual: indexicalidad social y microhistoria", https://doi.org/10.18710/I8KK9V, DataverseNO, V1
Dataset abstract This data forms the basis for the research presented in the article "Análisis contrastivo de los marcadores pragmáticos de vaguedad es que y en plan en el español coloquial actual: indexicalidad social y microhistoria". It consists of two datafiles. The first datafile includes 641 cases of en plan and 4366 cases of es que, extracte...
00_ReadMe_Esque_Enplan.txt
Feb 23, 2026 - Replication Data for: Análisis contrastivo de los marcadores pragmáticos de vaguedad es que y en plan en el español coloquial actual: indexicalidad social y microhistoria
Plain Text - 21.4 KB - MD5: 778a52503841bd43ddffed415b1ddcf7
01_Datafile1_Esque_Enplan_Indexicality.csv
Feb 23, 2026 - Replication Data for: Análisis contrastivo de los marcadores pragmáticos de vaguedad es que y en plan en el español coloquial actual: indexicalidad social y microhistoria
Comma Separated Values - 194.5 KB - MD5: 473c73ba5685769a90501b0ddd45d903
02_Datafile2_Esque_Enplan_Microdiachrony_Pragmatics.csv
Feb 23, 2026 - Replication Data for: Análisis contrastivo de los marcadores pragmáticos de vaguedad es que y en plan en el español coloquial actual: indexicalidad social y microhistoria
Comma Separated Values - 235.1 KB - MD5: 1d26aa6e8e53237a98e83fcdfa96124e
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.