1 to 10 of 996 Results
Mar 27, 2019
Di Remigio, Roberto; Giovannini, Tommaso; Ambrosetti, Marco; Cappelli, Chiara; Frediani, Luca, 2019, "Replication Data for: Fully Polarizable QM/Fluctuating Charge Approach to Two-Photon Absorption of Aqueous Solutions", https://doi.org/10.18710/C9OZWV, DataverseNO, V1
This dataset contains raw input and output files for the LSDALTON calculations reported in "Fully Polarizable QM/Fluctuating Charge Approach to Two-Photon Absorption of Aqueous Solutions". The version of LSDALTON used for this paper uses three input files: - a .dal file with input directives for the quantum mechanical calculation. - a .mol file wit... |
Nov 19, 2024
Serov, Pavel; Andreassen, Karin; Winsborrow, Monica; Mattingsdal, Rune; Patton, Henry, 2024, "Replication Data for: Geological and glaciological controls of 21,700 active methane seeps in the northern Norwegian Barents sea", https://doi.org/10.18710/7PE8Q9, DataverseNO, V1
The dataset contains replication data for scientific article "Geological and glaciological controls of 21,700 active methane seeps in the northern Norwegian Barents sea". Specifically, it contains multibeam echosounder data in .gwc (generic water column) format acquired in CAGE 18-1, CAGE-21-4 and CAGE 22-6 research cruises and suited to identify b... |
Apr 9, 2025
Conzett, Philipp, 2025, "Grunnlagsmateriale for: Praksis og behov i forskningsdatakuratering i Norge", https://doi.org/10.18710/SGLCHG, DataverseNO, V1
This dataset contains raw data and processed data from the survey "Praksis og behov i forskningsdatakuratering i Norge" ('Practice and needs in research data curation in Norway'), carried out in fall 2022 as part of the project "Kuratornettverk for FAIR forskningsdata" ('Curation Network for FAIR Resarch Data'), which aimed at establishing a nation... |
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 machine learning model that predicts transaction inclusion. In each month o... |
Conzett, Philipp, 2022, "Dataverse Community Survey 2022 – Data", https://doi.org/10.18710/UOC8CP, DataverseNO, V1
This dataset contains raw data and processed data from the Dataverse Community Survey 2022. The main goal of the survey was to help the Global Dataverse Community Consortium (GDCC; https://dataversecommunity.global/) and the Dataverse Project (https://dataverse.org/) decide on what actions to take to improve the Dataverse software and the larger ec... |
Nov 26, 2021
Opstad, Ida S.; Wolfson, Deanna L., 2021, "Salmon keratocyte DIC microscopy videos", https://doi.org/10.18710/Q57B06, DataverseNO, V1
Series of differential interference contrast microscopy (DIC) videos of primary keratocytes from Atlantic salmon scales acquired at room temperature (RT). The salmon from Kårvika (Tromsø Aquaculture Research Station) was about 1 kg +- 0.4 kg of either sex or smolt (about 10 to 15 cm long). The triploid salmon was > 1 kg and from a fish farm at Senj... |
Oct 13, 2020
Cauzzo, Jennifer; Nystad, Mona; Holsæter, Ann Mari; Basnet, Purusotam; Skalko-Basnet, Natasa, 2020, "Replication data for: Following the Fate of Dye-Containing Liposomes in Vitro", https://doi.org/10.18710/5E8VUI, DataverseNO, V1
This dataset contains the experimental work associated to the publication "Following the Fate of Dye-Containing Liposomes In Vitro" Int. J. Mol. Sci. 2020, 21(14), 4847; https://doi.org/10.3390/ijms21144847. The rather limited success of translation from basic research to clinical application has been highlighted as a major issue in the nanomedicin... |
Dec 21, 2022
Gunnarsdottir, Tinna Lif; Poggenpohl, Arne; Mann, Ingrid; Mahmoudian, Alireza; Dalin, Peter; Haeggstroem, Ingemar; Rietveld, Mike, 2022, "Replication Data for: Modulation of Polar Mesospheric Summer Echoes (PMSE) with HF Heating during low solar illumination", https://doi.org/10.18710/NGISOA, DataverseNO, V1
Reproduction data for heating of Polar Mesospheric Summer Echoes measured with EISCAT VHF radar. Included in this dataset are all figures related to the paper in pdf format and good quality (at least 300 PDI). The code to reproduce these figures is given in code_plots. This code takes radar data as input and the output is; PMSE with heating; overvi... |
Feb 22, 2024
i-MASTER consortium, 2023, "Data of the i-MASTER project: A novel initiative in maritime education and training experience", https://doi.org/10.18710/T1VQLA, DataverseNO, V2
i-MASTER datasets. The i-MASTER project is an EU funded project under grant agreement No. 101060107. The project's objective is to study and develop an AI-based intelligent learning system with learning analytics and adaptive learning function for students engaged in both remote (home-based) and on-site maritime simulator education and training. Th... |
Barrett, Robert T., 2016, "Observations of first arrival dates of spring migrants to Tromsø, Norway", https://doi.org/10.18710/4MCRQL, DataverseNO, V2, UNF:6:OcLrdiQUhzuVH7XurrvnvQ== [fileUNF]
Observations of first arrival dates of spring migrants to Tromsø as reported to R. Barrett or to: www.artsobservasjoner.no |
