311 to 320 of 972 Results
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 outco... |
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 |
Jan 24, 2018 - NMDC Node UiT
UiT The Arctic University of Norway, 2018, "Time-series Kapp Duner", https://doi.org/10.18710/ALY8HF, DataverseNO, V1, UNF:6:lpSkS8/IBh7VnF4oS93VEg== [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 Duner. Photographs were taken by divers, usually at ca. yearly intervals at... |
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... |
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 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 photogra... |
Oct 20, 2020 - The Stein Rokkan Research Group for Quantitative Social and Political Science
Solvang, Øystein; Eriksen, Kari Elida; Stein, Jonas; Brattland, Camilla, 2020, "Covid-19 Country Level Social Science Dataset", https://doi.org/10.18710/VMUP44, DataverseNO, V2
The dataset is a cross-sectional dataset covering social and public health data pertaining to the Covid-19 outbreak in 199 countries. The dataset was compiled from public register and other openly available sources. Data on Covid-19 cases and related fatalities is current as of m... |
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. |
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 bed... |
Oct 21, 2024 - NMDC Node UiT
UiT The Arctic University of Norway, 2018, "Scenery photos without the frame (1979)", https://doi.org/10.18710/TBE9FN, DataverseNO, V2, UNF:6:m5XkifHmbpHxDbBgnabtaQ== [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 photogra... |
