911 to 920 of 1,007 Results
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... |
Nov 29, 2017
Barrett, Robert T., 2016, "Atlantic puffin Fratercula arctica field data, Hornoya", https://doi.org/10.18710/4LABGF, DataverseNO, V2
Atlantic puffin field data collected at Hornøya, NE Norway 1980-2013 |
Jun 23, 2020
Runge, Claire A.; Daigle, Remi; Hausner, Vera H.; Monz, Christopher A., 2020, "Replication data for: Pan-Arctic analysis of cultural ecosystem services using social media and automated content analysis", https://doi.org/10.18710/DUANRP, DataverseNO, V1, UNF:6:ZahdAHYFWhoYLYqxvnk4bQ== [fileUNF]
In the Arctic, as in many parts of the world, interactions with the natural world are an important part of people’s experience and are often recorded in photographs. Emerging methods for automated content analysis of social media data offers opportunities to discover information on cultural ecosystem services from photographs across large samples o... |
Oct 22, 2021
Narayanan, Viswanathan Lakshmi, 2021, "Replication data for 'Effects of particle precipitation on the polar mesospheric summer echoes observed by EISCAT VHF 224 MHz radar'", https://doi.org/10.18710/YSDZF8, DataverseNO, V1
The EISCAT VHF 224 MHz radar data measuring the mesospheric heights and D region ionosphere used in the manuscript 'Effects of particle precipitation on the polar mesospheric summer echoes observed by EISCAT VHF 224 MHz radar' submitted for review are provided herein. The data discussed in the work are collected on 15 - 17 July 2019 and 09 - 10 Aug... |
