BUSCADOR RECOLECTA

Leaves of Prunus dulcis cv Texas, Prunus persica cv Early Gold and one interspecific F1 hybrid were collected. For the analysis of DNA methylation, we used two biological replicates per genotype. For RNA-seq analysis, we used three biological replicates per genotype. -- Organisms: Prunus dulcis; Prunus persica; Prunus persica x Prunus dulcis. -- Experiment type Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing., Resources available on the publisher's site: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE198152, We analysed the DNA methylation and transcription levels of transposable elements and genes in leaves of Prunus persica and Prunus dulcis and in their F1 hybrid using high-throughput sequencing tecnhologies. We can conclude that the merging of the two parental genomes in the P. persica x P. dulcis hybrid does not result in a “genomic shock” with significant changes in the DNA methylation or in the transcription., Peer reviewed

Please note that the time series of the GRD component is flipped in the latitude axis (ordered South-North, instead of North-South as the other datasets). So before using, it should be flipped. -- This repository contains the following files: budget_components_ENS.nc Regional (1x1 degree) trend, uncertainty and time series of the ensemble mean of each of the budget components: total sea-level change (from altimetry) and the drivers (steric, GRD and dynamic). Please note that the time series of the GRD component is flipped in the latitude axis (ordered South-North, instead of North-South as the other datasets). So before using, it should be flipped. In order to avoid creating a new DOI for this dataset, we have added just a warning, instead of updating the file. If required the individual data sets used for the ensemble, please contact the author. -- masks.nc netcdf containing land-ocean mask, as well as the domains maps (SOM and delta-MAPS). We refer to the manuscript for more information of how the regional domains were acquired. -- dmaps_trend.pkl (and .xlsx) Trend and uncertainties of each of the budget components for each delta-MAPS domains. Available as an excel table (.xlsx) and as pickle file (.pkl). -- som_trend.pkl (and .xlsx). Trend and uncertainties of each of the budget components for each SOM domains. Available as an excel table (.xlsx) and as pickle file (.pkl), This repository contains supporting data for Camargo et al.: 'Regionalizing Sea-level Budget with Machine Learning Techniques', Ocean Sciences (2022), https://egusphere.copernicus.org/preprints/2022/egusphere-2022-876/., budget_components_ENS.nc, dmaps_trends.pkl, dmaps_trends.xlsx, masks.nc, SOM_trends.pkl, SOM_trends.xlsx, Peer reviewed

This repository contains the following files: budget_components_ENS.nc. Regional (1x1 degree) trend, uncertainty and time series of the ensemble mean of each of the budget components: total sea-level change (from altimetry) and the drivers (steric, GRD and dynamic). If required the individual data sets used for the ensemble, please contact the author. -- masks.nc: netcdf containing land-ocean mask, as well as the domains maps (SOM and delta-MAPS). We refer to the manuscript for more information of how the regional domains were acquired. -- dmaps_trend.pkl (and .xlsx): Trend and uncertainties of each of the budget components for each delta-MAPS domains. Available as an excel table (.xlsx) and as pickle file (.pkl). -- som_trend.pkl (and .xlsx): Trend and uncertainties of each of the budget components for each SOM domains. Available as an excel table (.xlsx) and as pickle file (.pkl), This repository contains supporting data for Camargo et al.: 'Regionalizing Sea-level Budget with Machine Learning Techniques', Ocean Sciences (2022, submited)., budget_components_ENS.nc, dmaps_trends.pkl, dmaps_trends.xlsx, masks.nc, SOM_trends.pkl, SOM_trends.xlsx, Peer reviewed

This dataset contains data from a population-representative survey examining various factors relating to digital exclusion (particularly digital mobility exclusion). The survey was conducted with 423 adult participants in the Netherlands in 2020 and 2021. This dataset is part of a series of 5 datasets which used the same questionnaire (translated into different languages) in different countries in Europe.

Biomechanical data on the strength of Cerebral Bridging Veins (CBVs), a study funded by La Marató de TV3 (2020-2021). Data on maximum axial force on the tested specimens, strain rate of the test, and the relationship between the two are examined and the probability distributions for the sample are obtained. Data set used for the article "Injury metrics for assessing the risk of acute subdural hematoma in traumatic events" (2021), published in IJERPH ( ISSN: 1660-4601, Basel, Switzerland, MDPI), Project: ``Age Effects on Traumatic Brain Injuries'' funded by Fundació La Marató de TV3, Barcelona, No. Grant 289/C/2017, 201704.30.

This file includes data on system vertical and lateral stiffness of stainless steel frames under gravity and gravity plus wind load scenarios obtained from the finite element simulations carried out on six stainless steel frames.

Data was generated using the general purpose finite element software ABAQUS and performing advanced nonlinear analyses. The database is comprised of ultimate load factors corresponding to different random samples of six different nominal stainless steel frames under gravity and wind load combinations. The values of the random variable assignments are given for each case. The full details of the finite element model can be found in: Arrayago, I.; Rasmussen, K.J.R.; Zhang, H. System-based reliability analysis of stainless steel frames subjected to wind loads. "Structural Safety", July 2022, vol. 97, art. No. 102211. DOI: https://doi.org/10.1016/j.strusafe.2022.102211

Data associated with the study called "Selectively targeting tumorigenicity in osteosarcoma". Each file corresponds to the raw data of one of the figures of the paper

This file includes finite element simulation data (ultimate load factors) carried out on 60 steel and stainless steel frames, including regular and irregular frame configurations with different section sizes. Ultimate load factors corresponding to different initial imperfection combinations are included.

This dataset contains data from a population-representative survey examining various factors relating to digital exclusion (particularly digital mobility exclusion). The survey was conducted with 418 adult participants in Flanders region in Belgium in 2021. This dataset is part of a series of 5 datasets which used the same questionnaire (translated into different languages) in different countries in Europe.