Metrics
1,801,408 Downloads
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

1,671 to 1,680 of 1,932 Results
Jun 4, 2019 - UiT The Arctic University of Norway
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 specular meteor trail echoes. Each radar echo provides a measurement of a...
May 27, 2019 - UiT The Arctic University of Norway
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 resulting NIRS method meet international requirements, indicating one NIRS...
University of Bergen logo
May 24, 2019
May 22, 2019 - UiT The Arctic University of Norway
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. Abstract: Translocation of organisms within or outside its native range carries the risk of modifying the community of the recipient ecosystems and...
May 14, 2019 - TROLLing
Arkhangelskiy, Timofey, 2019, "Replication Data for: Russian verbal borrowings in Udmurt", https://doi.org/10.18710/5N34CG, DataverseNO, V1
This is the dataset used in a study of Russian verbal loans in Udmurt. The files contain lists of Russian verbs found in the Udmurt social media corpus (http://udmurt.web-corpora.net/index_en.html), manually annotated for several features such as aspect or frequencies in different corpora. Abstract: In Udmurt, a Uralic language that has experienced...
May 6, 2019 - UiT The Arctic University of Norway
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. Abstract: Merkel cell carcinoma (MCC) is a rare and aggressive neuroendocrine type of skin cancer associated with a poor prognosis. This carcinoma named after its presumed ce...
May 6, 2019 - UiT The Arctic University of Norway
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. Abstract: Extracellular vesicles or exosomes constitute an evolutionarily conserved mechanism of intercellular signaling. Exosomes are gaining an increasing amount of attention due to their role in pathologie...
May 6, 2019 - UiT The Arctic University of Norway
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. Abstract: MicroRNAs (miRNAs) are small non-coding RNAs responsible for post-transcriptional regulation of gene expression through interaction with messenger RNAs (mRNAs). In the past few years, evidence of the presence of cellul...
May 6, 2019 - UiT The Arctic University of Norway
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. Abstract: Proteomics have become an important tool in discovery and understanding pathological processes at the cellular level. Comparing the proteome of normal cells with diseased (malignant and o...
May 6, 2019 - UiT The Arctic University of Norway
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 phone messages.
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.