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.

Advanced Search

941 to 950 of 996 Results
Jun 17, 2020
Brakestad, Anders; Jensen, Stig Rune; Wind, Peter; D'Alessandro, Marco; Genovese, Luigi; Hopmann, Kathrin Helen; Frediani, Luca, 2020, "Replication Data for: Static polarizabilities at the basis set limit: A benchmark of 124 species", https://doi.org/10.18710/KLQVOK, DataverseNO, V4, UNF:6:pBXeXp0l5KVVijVHeSqsdg== [fileUNF]
Introduction This Dataverse entry contains replication data for our journal article “Static polarizabilities at the basis set limit: A benchmark of 124 species” published in Journal of Chemical Theory and Computation. It contains highly precise static polarizabilities computed in multiwavelet basis in combination with density functional theory (DFT...
Apr 26, 2023
Romeyn, Rowan, 2023, "Replication Data for Microphone recording of flexural waves for estimation of lake ice thickness", https://doi.org/10.18710/C2ONEX, DataverseNO, V2
This dataset is a collection of audio recordings from three frozen lakes that were acquired with the primary purpose of estimating ice thickness using recorded air-coupled flexural waves. The flexural waves were excited by different impulsive artificial sources (hammer strikes, jumping, ice skates) and natural sources (thermal expansion/contraction...
Mar 24, 2022
Obuobi, Sybil; Julin, Kjersti; Fredheim, Elizabeth GA; Johannessen, Mona; Škalko-Basnet, Nataša, 2022, "Replication Data for: Liposomal delivery of antibiotic loaded nucleic acid nanogels with enhanced drug loading and synergistic anti-inflammatory activity against S. aureus intracellular infections", https://doi.org/10.18710/SSUSAI, DataverseNO, V1
Collated experimental data associated with the publication "Liposomal delivery of antibiotic loaded nucleic acid nanogels with enhanced drug loading and synergistic anti-inflammatory activity against S. aureus intracellular infections" in Journal of Controlled Release Volume 324, Pages 620-632. The persistence of Staphylococcus aureus has been accr...
Jan 21, 2022
Opstad, Ida S., 2021, "3DSIM data of mitochondria in the cardiomyoblast cell-line H9c2 adapted to either glucose or galactose", https://doi.org/10.18710/PDCLAS, DataverseNO, V2
ALTERNATIVE DOWNLOAD FROM FileSender: To access the data via https with limited network capacity, click here. Series of three-dimensional structured illumination microscopy (3DSIM) of the rat cardiomyoblast cell-line H9c2 adapted to either glucose (GLU) or galactose (GAL). The outer mitochondrial membranes are labeled with the double tag mCherry-EG...
Nov 23, 2023
Opstad, Ida, 2023, "Fluorescence microscopy videos of mitochondria and endosomes in H9c2 cardiomyoblasts", https://doi.org/10.18710/HQDBYF, DataverseNO, V3
This dataset contains a series of three-dimensional fluorescence microscopy videos of the rat cardiomyoblast cell-line H9c2. The outer mitochondrial membrane is labeled with either mCherry (a red fluorescent protein) or eGFP (enhanced green fluorescent protein). Membrane-bound vesicles called endosomes are labeled using mCLING-ATTO647n. A portion o...
Jan 24, 2018 - NMDC Node UiT
UiT The Arctic University of Norway, 2018, "Time-series Smeerenburg", https://doi.org/10.18710/NRZ3RB, DataverseNO, V1, UNF:6:TQ/hsPHA+dtOS66d3Y9zOQ== [fileUNF]
The database contains a long time-series (starting in the late 1970s) of under-water photographs showing the composition of rocky-bottom communities at ca. 5 to 30 m at marked sampling stations (sites) at Smeerenburg. Photographs were taken by divers, usually at ca. yearly intervals at each site. The project was initiated by Prof. Bjørn Gulliksen,...
May 9, 2023
Rainsford, Philip; Rylandsholm, Fredrik G.; Jakubec, Martin; Silk, Mitchell; Juskewitz, Eric; Ericson, Johanna U.; Svendsen, John S.; Engh, Richard A.; Isaksson, Johan, 2023, "Supplementary Data for: Label-free measurement of antimicrobial peptide interactions with lipid vesicles and nanodiscs using microscale thermophoresis", https://doi.org/10.18710/XZB5KI, DataverseNO, V1
This dataset contains raw data traces from Surface Plasmon Resonance (SPR) and Microscale Thermophoresis (MST) experiments aimed at determining the binding affinity of peptides with lipid vesicles and lipid nanodiscs. The SPR data consists of responses obtained from cycles of peptide injection over the lipid membrane, with varying peptide concentra...
Dec 1, 2017
Barrett, Robert T., 2016, "Observations of food items brought in to Common guillemot, Uria aalge, chicks.", https://doi.org/10.18710/LOCNET, DataverseNO, V2
This file contains observations of food items brought in to Common guillemot (Uria aalge) chicks by adults at Hornøya, Vardø, Norway.
Jan 10, 2020
Silyakova, Anna; Jansson, Pär; Serov, Pavel; Ferré, Benedicte; Pavlov, Alexey; Hattermann, Tore; Graves, Carolyn; Platt, Stephen Matthew; Lund, Myhre Cathrine; Gründger, Friederike; Niemann, Helge, 2020, "Replication Data for: Physical controls of dynamics of methane venting from a shallow seep area west of Svalbard", https://doi.org/10.18710/VGQYLQ, DataverseNO, V1
Data are the basis for the publication "Physical controls of dynamics of methane venting from a shallow seep area west of Svalbard" by Silyakova and co-authors. It was prepared at CAGE, Centre for Arctic Gas Hydrate, Environment and Climate, Department of Geoscienses, UiT Arctic University of Tromsø. The paper is published in Continental Shelf Rese...
Aug 29, 2019
Jansson, Pär; Triest, Jack; Grilli, Roberto; Ferré, Benedicte; Silyakova, Anna; Mienert, Jürgen; Chappellaz, Jérôme, 2019, "Replication Data for: High-resolution underwater laser spectrometer sensing provides new insights into methane distribution at an Arctic seepage site", https://doi.org/10.18710/UWP6LL, DataverseNO, V2
Abstract: Methane (CH4) in marine sediments has the potential to contribute to changes in the ocean- and climate system. Physical and biochemical processes that are difficult to quantify with current standard methods such as acoustic surveys and discrete sampling govern the distribution of dissolved CH4 in oceans and lakes. Detailed observations of...
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.