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

461 to 470 of 1,280 Results
Plain Text - 6.5 KB - MD5: ae13499af662e435b56f52f3311c7630
Jan 12, 2022
Phinney, Nathan H.; Ellis, Christopher J.; Asplund, Johan, 2022, "Replication Data for: Trait-based response of lichens to large-scale patterns of climate and forest availability in Norway", https://doi.org/10.18710/TQUTD3, DataverseNO, V1
This dataset contains gridded data on relative trait frequences of lichens, temperature, precipitation and percent forest cover in Norway
Plain Text - 444.7 KB - MD5: c8feaf2968774279ebe8b5569d5febdd
This dataset contains gridded data on relative trait frequences of lichens, temperature, precipitation and percent forest cover in Norway
Jan 17, 2023
Royan, Muhammad Rahmad; Kayo, Daichi; Weltzien, Finn-Arne; Fontaine, Romain, 2023, "Supplementary materials for "Sexually dimorphic regulation of gonadotrope cell hyperplasia in medaka pituitary via mitosis and transdifferentiation"", https://doi.org/10.18710/XOEPUI, DataverseNO, V1
This file is a supplementary figures for the manuscript "Sexually dimorphic regulation of gonadotrope cell hyperplasia in medaka pituitary via mitosis and transdifferentiation" The two pituitary gonadotropins, Fsh and Lh, regulate the reproductive function in vertebrates. While many studies have investigated the regulation of gonadotropin productio...
Adobe PDF - 6.3 MB - MD5: 7f7b0764d576c335ded0527894217f0f
The file contains supplemental figures for the paper entitled "Sexually dimorphic regulation of gonadotrope cell hyperplasia in the medaka pituitary via mitosis and transdifferentiation"
Nov 20, 2024
Bakhtina, Marina; Bay, Nina; Rosef, Line; Hanslin, Hans Martin, 2024, "Replication data for: The impact of soil hydrological regimes and vegetation systems on plant performance and root depth distribution in bioswale microcosms", https://doi.org/10.18710/FUYRGF, DataverseNO, V1
This dataset represents a greenhouse experiment to investigate the effects of fluctuating soil hydrology on plant growth and vertical root distribution for vegetated infiltration systems Plant rooting patterns in bioswales, raingardens and other vegetated infiltration systems are essential, as they contribute biopores which maintain the infiltratio...
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.