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791 to 800 of 967 Results
Jun 4, 2019
Aspaas, Per Pippin; Pataki, Katalin, 2019, "Replication Data for: Did Astronomy Constitute a Denominationally Neutral Space within the Republic of Letters? An Outline for the Use of Visualization Tools in the Study of Astronomical Correspondence", https://doi.org/10.18710/6JUYEY, DataverseNO, V1, UNF:6:tYfyj0N+T68QZ9LxduNyaQ== [fileUNF]
This dataset consists of metadata used for creating the visualizations accompanying our article “Did Astronomy Constitute a Denominationally Neutral Space within the Republic of Letters? An Outline for the Use of Visualization Tools in the Study of Astronomical Correspondence”, t...
Jun 4, 2019
Vierinen, Juha, 2019, "Replication Data for: Observing mesospheric turbulence with specular meteor radars: A novel method for estimating second order statistics of wind velocity", https://doi.org/10.18710/PBYWJ0, DataverseNO, V1
There are few observational techniques for measuring the distribution of kinetic energy within the mesosphere with a wide range of spatial and temporal scales. This study describes a method for estimating the three-dimensional mesospheric wind field correlation function from spec...
May 27, 2019
Ancin Murguzur, Francisco Javier; Bison, Marjorie; Smis, Adriaan; Böhner, Hanna; Struyf, Eric; Meire, Patrick; Bråthen, Kari Anne, 2019, "Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content", https://doi.org/10.18710/CXRCUW, DataverseNO, V1
Here we provide a first step towards a global arctic-alpine NIRS model of foliar N, P and C content integrating 97 species, nine functional groups, three levels of phenology, a range of habitats and two biogeographic regions (the Alps and Fennoscandia). The precision of the resul...
May 22, 2019
Blanco Gonzalez, Enrique; Espeland, Sigurd Heiberg; Jentoft, Sissel; Hansen, Michael Møller; Robalo, Joana Isabel; Stenseth, Nils Christian; Jorde, Per Erik, 2019, "Replication Data for: Interbreeding between local and translocated populations of a cleaner fish in an experimental mesocosm predicts risk of disrupted local adaptation", https://doi.org/10.18710/DSAPAP, DataverseNO, V2, UNF:6:GM79SmL+2M9XhptSGoPwVA== [fileUNF]
This data file contains genotypic information at 11 microsatellite loci for parental analysis of corkwing wrasse (Symphodus melops). Additionally, it also contains phenotypic information from breeders.
May 6, 2019
Konstantinell, Aelita Gloria Virginia, 2019, "Replication Data for: Biomarkers Discovery: The Benefit of the Study Exosomes Originated from Merkel Cell Carcinoma Cell Lines", https://doi.org/10.18710/KCW912, DataverseNO, V1, UNF:6:z/BzGrMbXgt0khEcYOL6WQ== [fileUNF]
This dataset is about characterization and phenotyping of cells and exosomes originating from polyomavirus-negative and polyomavirus-positive Merkel cell carcinoma cell lines.
May 6, 2019
Konstantinell, Aelita Gloria Virginia, 2019, "Replication Data for: Secretomic analysis of extracellular vesicles originating from polyomavirus-negative and polyomavirus-positive Merkel cell carcinoma cell lines", https://doi.org/10.18710/USXCRS, DataverseNO, V1, UNF:6:xGarNwkr+cO6GOAu/OngFQ== [fileUNF]
This dataset is about analyses of two Merkel cell polyomavirus (MCPyV)-negative and two MCPyV–positive Merkel cell lines secretomic proteins.
May 6, 2019
Konstantinell, Aelita Gloria Virginia, 2019, "Replication Data for: Comparative analysis of microRNA expression profiles of exosomes derived from polyomavirus-negative and –positive Merkel cell lines by next generation sequencing", https://doi.org/10.18710/BDMYIK, DataverseNO, V1, UNF:6:L5jfP55zcyTozMfCij6ttw== [fileUNF]
This dataset is about the differentially expressed exosomal microRNA between MCPyV-negative and -positive MCC cell lines.
May 6, 2019
Konstantinell, Aelita Gloria Virginia, 2019, "Replication Data for: Comparative and integrated analyses of polyomavirus-negative and -positive Merkel cell carcinoma cell lines and their exosomes proteomic studies", https://doi.org/10.18710/OGQOQW, DataverseNO, V1, UNF:6:iYIxN6iz0Ry0HX50eUxSPQ== [fileUNF]
This dataset is analyses of identified proteins between MCPyV-negative (MCC13, MCC26, and UISO) and -positive (MKL1, MKL2, MS1, and WaGa) MCC cell line.
May 6, 2019
Aslaksen, Per M., 2019, "Weather and pain", https://doi.org/10.18710/CZZT5F, DataverseNO, V1, UNF:6:+E2dmhntA60F1NNRQV5KCg== [fileUNF]
Weather data and measurement of pain, stress and tension in a cohort of patients diagnosed with fibromyalgia. All meteorological data were obtained from the Norwegian Meteorological Institute of Tromsø (MET), from 28.11.2011 to 4.8.2013. Data from patients were obtained by SMS ph...
May 3, 2019
Singhroha, Sunny, 2019, "Multicomponent ocean bottom seismic (OBS) data from 10 stations along the Vestnesa Ridge, W-Svalbard margin", https://doi.org/10.18710/E0IBYF, DataverseNO, V1
The data include multicomponent ocean bottom seismic (OBS) records from 10 stations along the Vestnesa Ridge. This data is used in the article "Constraints on Gas Hydrate Distribution and Morphology in Vestnesa Ridge, Western Svalbard Margin, Using Multicomponent Ocean‐Bottom Sei...
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