911 to 920 of 996 Results
May 31, 2023
Zoller, Kevin; Laberg, Jan Sverre; Rydningen, Tom Arne; Husum, Katrine; Forwick, Matthias, 2022, "Supporting Data for: A high-Arctic inner shelf–fjord system from the Last Glacial Maximum to the Present: Bessel Fjord and SW Dove Bugt, NE Greenland", https://doi.org/10.18710/IXW3VA, DataverseNO, V2
Data sets which support the manuscript "A high-Arctic inner shelf–fjord system from the Last Glacial Maximum to the Present: Bessel Fjord and SW Dove Bugt, NE Greenland". This includes bathymetry data as well as Multi Sensor Core Logger data obtained from three gravity cores. This data was originally collected in Dove Bugt and Bessel Fjord in North... |
Aug 19, 2025
Kianpoor, Nasrin; Hoff, Bjarte, 2025, "Appliance-Level Electricity Consumption Dataset", https://doi.org/10.18710/D3RK2I, DataverseNO, V1
This dataset contains appliance-level electricity consumption measurements from a 2-person household in Northern Norway, collected over 24 days with 3,296 total measurements at 10-minute intervals. The data provides detailed insights into energy consumption patterns of various household appliances including electric vehicle charging station, heat p... |
Jan 13, 2022
Hansen, Henning, 2022, "Sales ledgers from Gumpert's bookshop in Gothenburg (1870–1900)", https://doi.org/10.18710/HWLJYL, DataverseNO, V1
This dataset contains digitized sales ledgers from Gumpert's bookshop in Gothenburg, one of the most prominent bookshops in Sweden during the nineteenth century. Like most major bookshops at the time, Gumpert’s bookshop primarily sold books on credit, and consequently, the bookshop had to keep a record detailing all the returning customers’ purchas... |
Feb 24, 2023
Ströhl, Florian, 2023, "Replication Data for: Label-free superior contrast with c-band ultra-violet extinction microscopy", https://doi.org/10.18710/SHSZXS, DataverseNO, V1
This repository contains underlying image data, which was used for figures in the manuscript and MATLAB code to generate extinction coefficient maps as well as MATLAB code to determine the direction of "half-ring" illumination from differential phase contrast (DPC) raw data. Summary from the manuscript: We presented a C-band UV microscope operating... |
May 19, 2016
Ambrose, William G.; Panieri, Giuliana; Schneider, Andrea; Plaza-Faverola, Andreia; Carroll, Michael. L.; Åström, Emmelie K. L.; Locke V, William L.; Carroll, JoLynn, 2016, "Replication Data for: Bivalve shell horizons in seafloor pockmarks of the last glacial-interglacial transition suggest a thousand years of methane emissions in the Arctic Ocean", https://doi.org/10.18710/FWUKX0, DataverseNO, V1
The paper presents discrete bivalve shell horizons in two gravity cores from seafloor pockmarks on the Vestnesa Ridge (ca. 1200 m water depth), western Svalbard (79° 00’ N, 06° 55’ W) to provide insight into the temporal and spatial dynamics of seabed methane seeps. The shell beds, dominated by two genera of the family Vesicomyidae: Phreagena s.l.... |
Jun 2, 2022
Kilvaer, Thomas K, 2021, "UiT_TILs - Replication Data for "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images"", https://doi.org/10.18710/4YN9SZ, DataverseNO, V2
This dataset can be used to replicate the findings in "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images". The motivation for this paper is that increased levels of tumor infiltrating lymphocytes (TILs) indicate favorable outcomes in many types of cancer. Our aim is to leverage computational path... |
Jan 24, 2018 - NMDC Node UiT
UiT The Arctic University of Norway, 2018, "Scenery photos without the frame (2009)", https://doi.org/10.18710/KGDTU0, DataverseNO, V1, UNF:6:wHLmb16PMtniU0ZguJvi1w== [fileUNF]
Contains photographs documenting under-water scenery and fauna across Svalbard. The data base contains photographs documenting under-water scenery and fauna across Svalbard and mainland at depths from ca. 5 to 30 m at non-marked, non-revisited locations. These non-scaled photographs were taken by divers. These photographs were taken in support of t... |
Jan 24, 2018 - NMDC Node UiT
UiT The Arctic University of Norway, 2018, "Scenery photos without the frame (1984)", https://doi.org/10.18710/LWOJFX, DataverseNO, V1, UNF:6:ePf/qqMDAiejs7KwXSgW1A== [fileUNF]
Contains photographs documenting under-water scenery and fauna across Svalbard. The data base contains photographs documenting under-water scenery and fauna across Svalbard and mainland at depths from ca. 5 to 30 m at non-marked, non-revisited locations. These non-scaled photographs were taken by divers. These photographs were taken in support of t... |
Mar 23, 2022
Obuobi, Sybil; Phung, Anna Ngoc; Julin, Kjersti; Johannessen, Mona; Škalko-Basnet, Nataša, 2022, "Replication Data for: Biofilm Responsive Zwitterionic Antimicrobial Nanoparticles to Treat Cutaneous Infection", https://doi.org/10.18710/XIBGY1, DataverseNO, V1
The dataset presented here is a collection of all experiments associated with the publication "Biofilm Responsive Zwitterionic Antimicrobial Nanoparticles to Treat Cutaneous Infection" in Biomacromolecules 2022, 23, 1, 303–315 https://doi.org/10.1021/acs.biomac.1c01274 To avert the poor bioavailability of antibiotics during S. aureus biofilm infect... |
Jun 23, 2020
Espeseth, Martine Mostervik; Brekke, Camilla, 2020, "Oil masks derived from airborne radar measurements for the NORSE2019 experiment", https://doi.org/10.18710/YOILRP, DataverseNO, V1
Oil masks are derived manually from a time series of synthetic aperture radar (SAR) images covering two different types of oil; one mineral oil emulsion and one soya oil emulsion that were released during an oil-on-water experiment (NORSE2019) in the North Sea June 2019 by NOFO (www.nofo.no). These SAR images were acquired over the exercise area wi... |
