UiT The Arctic University of Norway

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.

3,241 to 3,250 of 11,656 Results

prehospital_sepsis_antibiotics2.csv Dec 23, 2024 - Background data for: Prehospital prediction of clinical course in patients with suspected sepsis Comma Separated Values - 38.7 KB - MD5: 1f88ed2174f1726eede535e95d5f4940
prehospital_sepsis_antibiotics2.sav Dec 23, 2024 - Background data for: Prehospital prediction of clinical course in patients with suspected sepsis SPSS Binary - 29.7 KB - MD5: 21c89ba4a78a651f91904b9bebcded3b
Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts Dec 2, 2024 Martinsen, Iver; Sørensen, Steffen Aagaard; Ortega, Samuel; Godtliebsen, Fred; Tejedor, Miguel; Myrvoll-Nilsen, Eirik, 2024, "Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts", https://doi.org/10.18710/QGBZZK, DataverseNO, V1 This dataset contains PNG images of individual foraminifera and sediment grains. The dataset contains a set of training images, and a set of test images. Each of the sets contains four subfolders for each of the four classes in the dataset. The four classes are: A (Benthic Agglutinated foraminifera), B (Benthic Calcareous foraminifera), P (Planktic...
00_README.txt Dec 2, 2024 - Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts Plain Text - 4.7 KB - MD5: 9192c827b76e670047c63b1239ef640e
test_images.zip Dec 2, 2024 - Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts ZIP Archive - 26.1 MB - MD5: ec1d0be919dc567eb61e31742d366f58
train_images.zip Dec 2, 2024 - Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts ZIP Archive - 102.3 MB - MD5: f7f426770785272364dde3c6e03a801f
Supporting Data for: Allochrony in Atlantic lumpfish: genomic and otolith shape divergence between spring and autumn spawners Feb 14, 2025 Horaud, Mathilde; Raventós, Núria; Præbel, Kim; Galià-Camps, Carles; Pegueroles, Cinta; Carreras, Carlos; Pascual, Marta; Tuset, Victor M; Bhat, Shripathi; Lynghammar, Arve, 2025, "Supporting Data for: Allochrony in Atlantic lumpfish: genomic and otolith shape divergence between spring and autumn spawners", https://doi.org/10.18710/RRWSIR, DataverseNO, V1 This data set contains two datasets. Firstly, the Single Nucleotide Polymorphism (SNP) genotypes for the Atlantic lumpfish (Cyclopterus lumpus) used in the population genomics study. Samples are collected from fjords around Norway (Sørøya and Namdal). The genotypes are called using whole genome shotgun sequencing approach. Second data is 4th wavele...
00_README.txt Feb 14, 2025 - Supporting Data for: Allochrony in Atlantic lumpfish: genomic and otolith shape divergence between spring and autumn spawners Plain Text - 5.8 KB - MD5: 95a40281f5c3e47324e658e3e7f36ab5 Description of the files uploaded and methods used for the generation of the data
01_FALL_SPRING_64indv.recode.vcf Feb 14, 2025 - Supporting Data for: Allochrony in Atlantic lumpfish: genomic and otolith shape divergence between spring and autumn spawners text/vcard - 4.1 GB - MD5: 854e1c3394f222b80eb211b39082cc6b SNP genotype file
02_W4_new_41indv.csv Feb 14, 2025 - Supporting Data for: Allochrony in Atlantic lumpfish: genomic and otolith shape divergence between spring and autumn spawners Comma Separated Values - 219.4 KB - MD5: 624eab5c9135c2185d56c57d550c2d47 4th wavelet data of otoliths

prehospital_sepsis_antibiotics2.csv

Dec 23, 2024 - Background data for: Prehospital prediction of clinical course in patients with suspected sepsis

Comma Separated Values - 38.7 KB -

prehospital_sepsis_antibiotics2.sav

Dec 23, 2024 - Background data for: Prehospital prediction of clinical course in patients with suspected sepsis

SPSS Binary - 29.7 KB -

Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts

Dec 2, 2024

Martinsen, Iver; Sørensen, Steffen Aagaard; Ortega, Samuel; Godtliebsen, Fred; Tejedor, Miguel; Myrvoll-Nilsen, Eirik, 2024, "Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts", https://doi.org/10.18710/QGBZZK, DataverseNO, V1

This dataset contains PNG images of individual foraminifera and sediment grains. The dataset contains a set of training images, and a set of test images. Each of the sets contains four subfolders for each of the four classes in the dataset. The four classes are: A (Benthic Agglutinated foraminifera), B (Benthic Calcareous foraminifera), P (Planktic...

00_README.txt

Dec 2, 2024 - Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts

Plain Text - 4.7 KB -

test_images.zip

Dec 2, 2024 - Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts

ZIP Archive - 26.1 MB -

train_images.zip

Dec 2, 2024 - Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts

ZIP Archive - 102.3 MB -

Supporting Data for: Allochrony in Atlantic lumpfish: genomic and otolith shape divergence between spring and autumn spawners

Feb 14, 2025

Horaud, Mathilde; Raventós, Núria; Præbel, Kim; Galià-Camps, Carles; Pegueroles, Cinta; Carreras, Carlos; Pascual, Marta; Tuset, Victor M; Bhat, Shripathi; Lynghammar, Arve, 2025, "Supporting Data for: Allochrony in Atlantic lumpfish: genomic and otolith shape divergence between spring and autumn spawners", https://doi.org/10.18710/RRWSIR, DataverseNO, V1

This data set contains two datasets. Firstly, the Single Nucleotide Polymorphism (SNP) genotypes for the Atlantic lumpfish (Cyclopterus lumpus) used in the population genomics study. Samples are collected from fjords around Norway (Sørøya and Namdal). The genotypes are called using whole genome shotgun sequencing approach. Second data is 4th wavele...

00_README.txt

Feb 14, 2025 - Supporting Data for: Allochrony in Atlantic lumpfish: genomic and otolith shape divergence between spring and autumn spawners

Plain Text - 5.8 KB -

Description of the files uploaded and methods used for the generation of the data

01_FALL_SPRING_64indv.recode.vcf

Feb 14, 2025 - Supporting Data for: Allochrony in Atlantic lumpfish: genomic and otolith shape divergence between spring and autumn spawners

text/vcard - 4.1 GB -

SNP genotype file

02_W4_new_41indv.csv

Feb 14, 2025 - Supporting Data for: Allochrony in Atlantic lumpfish: genomic and otolith shape divergence between spring and autumn spawners

Comma Separated Values - 219.4 KB -

4th wavelet data of otoliths

Add Data

Share Dataverse

Link Dataverse

Reset Modifications