UiT The Arctic University of Norway

Looking for TROLLing? Click here: https://trolling.uit.no/

Note: No datasets will be curated/published between July 20–24, 2026 (week 30). We will get back to you as soon as possible.

NMDC Node UiT

PolarFront

The Stein Rokkan Research Group for Quantitative Social and Political Science

Tromsø Geophysical Observatory

Arctic Language Technology

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.

3,081 to 3,090 of 11,629 Results

school stations SUMMER.xlsx Jan 26, 2023 - TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway MS Excel Spreadsheet - 22.6 KB - MD5: 9f3487c87ab66afd5e52c408617a1d58
school stations WINTER.csv Jan 26, 2023 - TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway Comma Separated Values - 351 B - MD5: 062aef49e9d2d60dd0115fd7c3daa93c
school stations WINTER.xlsx Jan 26, 2023 - TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway MS Excel Spreadsheet - 19.7 KB - MD5: c0683078c09075476d4d2a33477e0162
skole AWS bergensveret.no_2013-01-01_2021-07-13_1626207330.csv Jan 26, 2023 - TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway Comma Separated Values - 84.7 KB - MD5: 6e34cf44b5afcd67dd5360c53e606bb9
skole AWS bergensveret.no_2013-01-01_2021-07-13_1626207330.xlsx Jan 26, 2023 - TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway MS Excel Spreadsheet - 96.6 KB - MD5: 271bf0b415e196f731e94398c773f7cd
timeplot_primary.py Jan 26, 2023 - TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway Python Source Code - 2.7 KB - MD5: b97ccaf5e2f4a89192a820feff37684c
TURBAN_dataset.zip Jan 26, 2023 - TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway Shapefile as ZIP Archive - 185.3 MB - MD5: 13ed7ae6202dead5d2067bf5b92e6135
winter episode.jpg Jan 26, 2023 - TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway JPEG Image - 96.0 KB - MD5: a6af2ccae275f981d0c2f780772536fe
winter episode short.jpg Jan 26, 2023 - TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway JPEG Image - 83.0 KB - MD5: d2da86621cdc9c2ddda9eda47f63648a
Replication data for : Metasurface supporting quasi-BIC for optical trapping and Raman-spectroscopy of biological nanoparticles Jan 20, 2023 Hasan, Md Rabiul; Hellesø, Olav Gaute, 2023, "Replication data for : Metasurface supporting quasi-BIC for optical trapping and Raman-spectroscopy of biological nanoparticles", https://doi.org/10.18710/VW1M5L, DataverseNO, V1 Optical trapping combined with Raman spectroscopy have opened new possibilities for analyzing biological nanoparticles. Conventional optical tweezers have proven successful for trapping of a single or a few particles. However, the method is slow and cannot be used for the smallest particles. Thus, it is not adapted to analyze a large number of nano...

school stations SUMMER.xlsx

Jan 26, 2023 - TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway

MS Excel Spreadsheet - 22.6 KB -

school stations WINTER.csv

Jan 26, 2023 - TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway

Comma Separated Values - 351 B -

school stations WINTER.xlsx

Jan 26, 2023 - TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway

MS Excel Spreadsheet - 19.7 KB -

skole AWS bergensveret.no_2013-01-01_2021-07-13_1626207330.csv

Jan 26, 2023 - TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway

Comma Separated Values - 84.7 KB -

skole AWS bergensveret.no_2013-01-01_2021-07-13_1626207330.xlsx

Jan 26, 2023 - TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway

MS Excel Spreadsheet - 96.6 KB -

timeplot_primary.py

Jan 26, 2023 - TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway

Python Source Code - 2.7 KB -

TURBAN_dataset.zip

Jan 26, 2023 - TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway

Shapefile as ZIP Archive - 185.3 MB -

winter episode.jpg

Jan 26, 2023 - TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway

JPEG Image - 96.0 KB -

winter episode short.jpg

Jan 26, 2023 - TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway

JPEG Image - 83.0 KB -

Replication data for : Metasurface supporting quasi-BIC for optical trapping and Raman-spectroscopy of biological nanoparticles

Jan 20, 2023

Hasan, Md Rabiul; Hellesø, Olav Gaute, 2023, "Replication data for : Metasurface supporting quasi-BIC for optical trapping and Raman-spectroscopy of biological nanoparticles", https://doi.org/10.18710/VW1M5L, DataverseNO, V1

Optical trapping combined with Raman spectroscopy have opened new possibilities for analyzing biological nanoparticles. Conventional optical tweezers have proven successful for trapping of a single or a few particles. However, the method is slow and cannot be used for the smallest particles. Thus, it is not adapted to analyze a large number of nano...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications