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3,481 to 3,490 of 8,623 Results

9-letter-r.csv Jun 24, 2024 - Replication Data for: Regularized Feature Selection Landscapes: An Empirical Study of Multimodality Comma Separated Values - 6.5 MB - MD5: b4d52c813803a578ea6d249e3464f5ca Data Accuracy tables for the dataset: Letter Recognition. Slate, D. (1991). Letter Recognition. UCI Machine Learning Repository. https://doi.org/10.24432/C5ZP40. Licensed under CC BY 4.0.
datasets.tar Jun 24, 2024 - Replication Data for: Regularized Feature Selection Landscapes: An Empirical Study of Multimodality TAR Archive - 69.0 MB - MD5: 2c387885ceef1e34b7c75411fcbaee2f Datasets
Drone-based mapping of crevassed glaciers in Svalbard Sep 7, 2023 Hann, Richard, 2023, "Drone-based mapping of crevassed glaciers in Svalbard", https://doi.org/10.18710/KLISS5, DataverseNO, V1 This database contains drone-based mapping data of seven crevassed glaciers in Svalbard, Norway. The dataset was generated using a structure-from-motion (SfM) method using drone-based imagery. The data was processed with Agisoft Metashape (version 1.8.5) and the processed data consists of digital elevation models (DEMs) in georeferenced .TIF file f...
00_ReadMe.txt Sep 7, 2023 - Drone-based mapping of crevassed glaciers in Svalbard Plain Text - 3.9 KB - MD5: b1cc9d342eda0cce01c4957fdc33a947
01_Fridtjovbreen_Spring_2020_Images.zip Sep 7, 2023 - Drone-based mapping of crevassed glaciers in Svalbard ZIP Archive - 10.7 GB - MD5: 54166ff59a82ce02010d07606e2633f2 Contains all the raw images from the drone mapping campaign.
01_Koenigsbergbreen_Spring_2020_Images.zip Sep 7, 2023 - Drone-based mapping of crevassed glaciers in Svalbard ZIP Archive - 8.9 GB - MD5: 9bf2c099a79ed25ac0652f8216656ede Contains all the raw images from the drone mapping campaign.
01_Nordenskioeldbreen_Fall_2019_Images.zip Sep 7, 2023 - Drone-based mapping of crevassed glaciers in Svalbard ZIP Archive - 31.4 GB - MD5: 88e1a4eeb93124b927559da62f77f29f Contains all the raw images from the drone mapping campaign.
01_Nordenskioeldbreen_Summer_2020_Images.zip Sep 7, 2023 - Drone-based mapping of crevassed glaciers in Svalbard ZIP Archive - 11.4 GB - MD5: 572d6562271258e172d589aaf9ebdae0 Contains all the raw images from the drone mapping campaign.
01_Tunabreen_Spring_2020_Images.zip Sep 7, 2023 - Drone-based mapping of crevassed glaciers in Svalbard ZIP Archive - 24.1 GB - MD5: b58e6d859af33ce9d8ec9a3dbb1efc32 Contains all the raw images from the drone mapping campaign.
01_Tunabreen_Summer_2020_Images.zip Sep 7, 2023 - Drone-based mapping of crevassed glaciers in Svalbard ZIP Archive - 12.9 GB - MD5: 17ba570b2f5c48cd55ccfbd33b319fa4 Contains all the raw images from the drone mapping campaign.

9-letter-r.csv

Jun 24, 2024 - Replication Data for: Regularized Feature Selection Landscapes: An Empirical Study of Multimodality

Comma Separated Values - 6.5 MB -

Data

Accuracy tables for the dataset: Letter Recognition. Slate, D. (1991). Letter Recognition. UCI Machine Learning Repository. https://doi.org/10.24432/C5ZP40. Licensed under CC BY 4.0.

datasets.tar

Jun 24, 2024 - Replication Data for: Regularized Feature Selection Landscapes: An Empirical Study of Multimodality

TAR Archive - 69.0 MB -

Datasets

Drone-based mapping of crevassed glaciers in Svalbard

Sep 7, 2023

Hann, Richard, 2023, "Drone-based mapping of crevassed glaciers in Svalbard", https://doi.org/10.18710/KLISS5, DataverseNO, V1

This database contains drone-based mapping data of seven crevassed glaciers in Svalbard, Norway. The dataset was generated using a structure-from-motion (SfM) method using drone-based imagery. The data was processed with Agisoft Metashape (version 1.8.5) and the processed data consists of digital elevation models (DEMs) in georeferenced .TIF file f...

00_ReadMe.txt

Sep 7, 2023 - Drone-based mapping of crevassed glaciers in Svalbard

Plain Text - 3.9 KB -

01_Fridtjovbreen_Spring_2020_Images.zip

Sep 7, 2023 - Drone-based mapping of crevassed glaciers in Svalbard

ZIP Archive - 10.7 GB -