Metrics
187,706 Downloads
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

1 to 10 of 109 Results
Oct 16, 2014 - Theoretical Physics
Jerabek, Hansjörg; Tark-Dame, Mariliis; Manders, Erik M. M.; Heermann, Dieter W.; van Driel, Roel, 2014, "Depletion of the chromatin looping proteins CTCF and cohesin causes chromatin compaction [Dataset]", https://doi.org/10.11588/data/10028, heiDATA, V4
Simulations using an advanced version of the Dynamic Loop model were performed to investigate the mechanisms responsible for the experimental finding that the reduction of the chromatin looping proteins CTCF and cohesin leads to chromatin compaction.
Oct 22, 2014 - Health Economics and Health Financing
De Allegri, Manuela; Kalmus, Olivier; Wang, Qun, 2014, "Out-of-pocket Expenditure on Chronic Non-communicable Diseases in Rural Malawi [Dataset]", https://doi.org/10.11588/data/10029, heiDATA, V3, UNF:5:eYzC7g7HhBKhOIIzq+3M0g== [fileUNF]
Data was collected in household survey conducted in the 2 rural districts of Thyolo and Chiradzulu in southern Malawi. The main purpose of the study was to determine the factors that influence health seeking behaviour of people with chronic non-communicable diseases (NCDs) as wel...
Mar 16, 2015 - Health Economics and Health Financing
De Allegri, Manuela ; Agier, Isabelle; Tiendrebéogo, Justin; Louis, Valerie Renée; Yé, Maurice; Müller, Olaf; Sarker, Malabika, 2015, "Factors affecting the uptake of HIV testing among men", https://doi.org/10.11588/data/10039, heiDATA, V2, UNF:5:dzjn1ZLPU3050it4qKkGEQ== [fileUNF]
This study aimed to explore factors shaping the decision to undergo Human Immunodeficiency Virus (HIV) testing among men in rural Burkina Faso. The study took place in 2009 in the Nouna Health District and adopted a triangulation mixed methods design. Nouna Health District, is lo...
Apr 29, 2015 - Health Economics and Health Financing
Brenner, Stephan, 2015, "The quality of clinical maternal and neonatal healthcare", https://doi.org/10.11588/data/10042, heiDATA, V2
Data was collected in a total of 33 health factilities.Data was collected by direct non-participatory observation of the clinical interactions between maternal care providers and women delivering in the factilities' maternity unit. The main purpose of the study was to determine t...
Jun 9, 2015 - Experimental Biophysics
Hausmann, Michael; Müller, Patrick; Hillebrandt, Sabina; Bach, Margund; Kaufmann, Rainer; Zhang, Yang, 2015, "SPDM data capturing radiation induced chromatin conformation changes", https://doi.org/10.11588/data/10031, heiDATA, V3
Using stably transfected HeLa cells expressing either green fluorescent protein (GFP) labelled histone H2B or yellow fluorescent protein (YFP) labelled histone H2A, we investigated the positioning of individual histone proteins in cell nuclei by means of high resolution localizat...
Jun 10, 2016 - KnopLab
Huber, Florian; Bunina, Daria; Gupta, Ishaan; Khmelinski, Anton; Meurer, Matthias; Theer, Patrick; Steinmetz, Lars M.; Knop, Michael, 2016, "Protein abundance control by non-coding antisense transcription [Dataset]", https://doi.org/10.11588/data/10073, heiDATA, V4
Data accompanying the paper "Protein abundance control by non-coding antisense transcription" by Huber et al, 2016, Cell Reports. This contains FACS data for the noise analysis in the publication as well as single cell data from microscopy.
Oct 28, 2016 - Multiple Myeloma Research Laboratory
Rème, Thierry; Emde, Martina; Seckinger, Anja; Hose, Dirk, 2016, "HDAMM-predictor: prediction of progression in asymptomatic myeloma patients", https://doi.org/10.11588/data/10092, heiDATA, V1
The HDAMM-predictor is based on microarray gene expression and predicts the risk of progression from asymptomatic to symptomatic myeloma. It divides the patients in three groups, from low to high risk to progress. It was generated according to the method published by Rème et al....
Mar 10, 2017 - AWI Experimental Economics
Camacho, Salvador; Schwieren, Christiane; Ruppel, Andreas, 2017, "Promoting water consumption using behavioral economics insights [Dataset]", https://doi.org/10.11588/data/10099, heiDATA, V1
Mexico has one of the largest overweight and obesity epidemics in the world and as a response, several actions aiming to reduce the obesity epidemic have been already set in place. Some of these actions include a specific action program for schools looking to turn the scholar env...
Jul 6, 2017 - Department of Pharmaceutical Biology
Holenya, Pavlo; Heigwer, Florian; Wölfl, Stefan, 2017, "Bioinformatic Tools for the Prediction of Key Regulatory Molecules in Signaltransduction Networks", https://doi.org/10.11588/data/10056, heiDATA, V1
Kinetic Operating Microarray Analyzer (KOMA) enables calibration and high-throughput analysis of quantitative microarray data collected by using kinetic detection protocol. This tool can be also helpful for analyzing data from any other analytical assays employing enzymatic signa...
Jul 7, 2017 - Department of Pharmaceutical Biology
Lochead, Julia; Schessner, Julia; Werner, Tobias; Wölfl, Stefan, 2017, "Bioinformatic Tool for the Analysis of Time-Resolved data: the TReCCA Analyser", https://doi.org/10.11588/data/UYHOBR, heiDATA, V1
The TReCCA Analyser is conceived to facilitate, speed up and intensify the analysis and representation of your time-resolved data, more specically in the case of cell culture assays. Without having to type any formula, it will perform at wish the following calculations: Control c...
Add Data

Sign up or 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.