1 to 10 of 21 Results
Jul 3, 2023
The Norwegian Historical Data Centre, 2023, "3-digit occupation code images from the Norwegian census of 1950 - Manual review dataset", https://doi.org/10.18710/LYXKN1, DataverseNO, V1
This dataset is made up of images containing handwritten 3-digit occupation codes from the Norwegian population census of 1950. The occupation codes were added to the census sheets by Statistics Norway after the census was concluded for the purpose of creating aggregated occupati... |
Mar 31, 2023
Henriksen, André; Woldaregay, Ashenafi Zebene; Issom, David-Zacharie; Pfuhl, Gerit; Sato, Keiichi; Årsand, Eirik; Hartvigsen, Gunnar, 2023, "Replication Data for: Dataset of motivational factors for using mobile health applications and systems", https://doi.org/10.18710/AOQF05, DataverseNO, V1
This dataset contains responses from a questionnaire about what motivates people to collect and share their health data for research and public health benefits. The online questionnaire was open for data collection between November 2018 and March 2020. The questionnaire was publi... |
Mar 29, 2023
Gupta, Deepak K.; Bhamba, Udbhav; Thakur, Abhishek; Gupta, Akash; Sharan, Suraj; Demir, Ertugrul; Prasad, Dilip K., 2023, "Supporting Data for: UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images", https://doi.org/10.18710/4F4KJS, DataverseNO, V1
Convolutional neural network (CNN) approaches available in the current literature are designed to work primarily with low-resolution images. When applied on very large images, challenges related to GPU memory, smaller receptive field than needed for semantic correspondence and th... |
Gerez Sazo, Gabriel Adolfo; Di Remigio Eikås, Roberto; Frediani, Luca, 2022, "Supporting Data for: Cavity-free continuum solvation: implementation and parametrization in a multiwavelet framework", https://doi.org/10.18710/TFSWLC, DataverseNO, V2
Supplementary material to an article submitted for review, about the PCM implementation in the MRChem software (https://github.com/MRChemSoft/mrchem), entitled "Cavity-free continuum solvation: implementation and parametrization in a multiwavelet framework" (2022-11-03). We prese... |
Ströhl, Florian; Jadhav, Suyog S.; Ahluwalia, Balpreet Singh; Agarwal, Krishna; Prasad, Dilip K., 2022, "Supplementary data for "Object detection neural network improves Fourier ptychography reconstruction"", https://doi.org/10.18710/BBU6JD, DataverseNO, V1
This dataset holds the trained deep learning models for our paper "Object detection neural network improves Fourier ptychography reconstruction". The results produced in the paper can be replicated through the use of these models in conjunction with the inference scripts provided... |
Sep 5, 2022
Mul, E.; Murguzur, Francisco Javier Ancin, 2022, "Replication Data for: "Impact of the COVID-19 pandemic on human-nature relations in a remote nature-based tourism destination"", https://doi.org/10.18710/5WNWRL, DataverseNO, V1
This dataset was used for the article "Impact of the COVID-19 pandemic on human-nature relations in a remote nature-based tourism destination", published in PLOS ONE 2022. It contains information about 196.200 photos taken in Northern Norway that were uploaded to the online Flick... |
Apr 13, 2022
Grahn, Jakob; Bianchi, Filippo Maria, 2022, "Sentinel-1 maritime mesocyclone dataset", https://doi.org/10.18710/FV5T9U, DataverseNO, V1
This dataset consists of 2004 geocoded Sentinel-1 image samples, divided into two classes: one class with mesocyclones being present in the images (class "pos"), and one class with mesocyclones being absent (class "neg"). The dataset is divided in training and test set. The train... |
Feb 28, 2022
Tedeschi, Enrico, 2022, "Bitcoin blockchain optimized for machine learning prediction model", https://doi.org/10.18710/8IKVEU, DataverseNO, V1
This dataset stores part of the Bitcoin blockchain. Blocks are sampled every month and information about transactions and blocks are separated to save disk space and avoid redundancies. This dataset is used in the work presented by Tedeschi et al.[1], in order to generate a machi... |
Jan 9, 2022
Henriksen, André; Johannessen, Erlend; Hartvigsen, Gunnar; Grimsgaard, Sameline; Hopstock, Laila Arnesdatter, 2021, "Replication Data for: Dataset of Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic", https://doi.org/10.18710/TGGCSZ, DataverseNO, V3
Data were collected from 113 participants, who shared their physical activity (PA) data using privately owned smart watches and activity trackers from Garmin and Fitbit. This data set consists of two data files: "data.csv" and "data raw.csv": The first file ("data.csv") contains... |
Oct 29, 2021
Henriksen, André; Woldaregay, Ashenafi Zebene; Muzny, Miroslav; Hartvigsen, Gunnar; Hopstock, Laila Arnesdatter; Grimsgaard, Sameline, 2021, "Replication data for Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research", https://doi.org/10.18710/6ZWC9Z, DataverseNO, V1
This dataset contains a list of 423 consumer-based wrist-worn activity trackers and smart watches, capable of collecting and estimating physical activity levels in individuals, using accelerometer and other sensors. Data were collected by automatic and manual searches through six... |
