Metrics
196,356 Downloads
Contact Share
Featured Dataverses

In order to use this feature you must have at least one published 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

131 to 134 of 134 Results
Replication Data for Mg quantification for "Magnesium Homeostasis in Myogenic Differentiation-A Focus on the Regulation of TRPM7, MagT1 and SLC41A1 Transporters"
Jan 31, 2022 - Magnesium homeostasis in myogenic differentiation - A focus on the regulation of TRPM7, MagT1 and SLC41A1 transporters
Castiglioni, Sara, 2022, "Replication Data for Mg quantification for "Magnesium Homeostasis in Myogenic Differentiation-A Focus on the Regulation of TRPM7, MagT1 and SLC41A1 Transporters"", https://doi.org/10.13130/RD_UNIMI/SXTVSN, UNIMI Dataverse, V1, UNF:6:WJf5wDGhejn8rTrgnWR7tA== [fileUNF]
Replication Data for: Mg quantification
Magnesium homeostasis in myogenic differentiation - A focus on the regulation of TRPM7, MagT1 and SLC41A1 transporters(University of Milan)
Jan 31, 2022Patologia generale e molecolare
Replication data for "Exact Algorithms for Maximum Lifetime Data-Gathering Tree in Wireless Sensor Networks"
Jan 11, 2022 - Optlab
Ceselli, Alberto; Casazza, Marco, 2022, "Replication data for "Exact Algorithms for Maximum Lifetime Data-Gathering Tree in Wireless Sensor Networks"", https://doi.org/10.13130/RD_UNIMI/VHW2QV, UNIMI Dataverse, V1, UNF:6:U/L+h6e36wYpccCRTD5/Rg== [fileUNF]
Dataset of instances used in the paper "Exact algorithms for Maximum Lifetime Data Gathering Tree in Wireless Sensors Networks". The repository contains two folders (CCD and ZTD) corresponding to the instances used in the paper. Their full description is given in two README files...
Investigation on ncRNA in senescence in senescence cellular models
Jan 5, 2022 - ncRNAging
Battaglia, Cristina, 2022, "Investigation on ncRNA in senescence in senescence cellular models", https://doi.org/10.13130/RD_UNIMI/OXXJ1N, UNIMI Dataverse, V1
Cellular senescence is a hallmark of aging and is the result of a variety of stresses, such as telomere attrition, DNA damage and mitochondrial dysfunction. Moreover, senescent cells display a typical secretory phenotype, which involves the secretion of several inflammatory facto...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
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.