22 datasets

SISSA Open Data2026 · dataset · unknown

This is the data set and code needed to replicate the main findings of Burato et al. 2026 "Prion Protein Deficiency Results in Synaptic, Neural Network and Behavioral Alterations"

SISSA Open Data2025 · dataset · unknown

Relazione annuale sull’attuazione dell’Open Access in SISSA

SISSA Open Data2025 · dataset · unknown

Relazione annuale sull’attuazione dell’Open Access in SISSA

SISSA Open Data2025 · dataset · unknown

Relazione annuale sull’attuazione dell’Open Access in SISSA

SISSA Open Data2025 · dataset · unknown

Relazione annuale sull’attuazione dell’Open Access in SISSA

SISSA Open Data2025 · dataset · unknown

Relazione annuale sull’attuazione dell’Open Access in SISSA

SISSA Open Data2025 · dataset · unknown

Relazione annuale sull’attuazione dell’Open Access in SISSA

SISSA Open Data2025 · dataset · unknown

Experimental datasets and codes to reproduce the figures 1 to 5 of the main text of the related publication.

SISSA Open Data2024 · Astronomical catalogue · unknown

This repository includes pre-computed tables of low-temperature gas opacities, in the range 3.2

SISSA Open Data2024 · Astronomical catalogue · unknown

In this repository we include the optical constants of all dust species listed in Table 1, as well as Rosseland mean opacity tables for widely used scaled-solar chemical compositions (GS98, C11, AAG21, MBS22) with metallicities encompassing the range 0 <= Z <= 0.3, and several hydrogen abundance values. Additional opacity tables with different grain sizes, porosities, and shapes can be computed an

SISSA Open Data2024 · dataset · unknown

This code presents a comprehensive comparison of methods to address the Dirichlet condition in a fictitious domain approach with non-conformal mesh boundaries. The presented implementations are based on the C++ finite element library deal.II, and the methods compared include a Lagrange multiplier method, a Nitsche method derived from it, and a Nitsche method on cut elements. The primary aim is to

SISSA Open Data2024 · dataset · unknown

Datasets and code used described in paper: "Data-driven solutions of ill-posed inverse problems arising from doping reconstruction in semiconductors" [arXiv:2208.00742]

SISSA Open Data2024 · dataset · unknown

Experimental dataset and numerical algorithms

SISSA Open Data2024 · dataset · unknown

Gamma-range firing-rate reverberations during synchronous activity in in vitro random neuronal networks

SISSA Open Data2024 · dataset · unknown

Supporting data related to manuscript "Refinement of molecular dynamics ensembles using experimental data and flexible forward models"

SISSA Open Data2024 · dataset · unknown

Dataset relative to Molecular dynamics simulation performed for the work "Molecular simulations matching denaturation experiments for N6-methyladenosine". The dataset contains data of 73 alchemical simulations and is subdivided in 10 zip files, one for each of the systems considered in this work Folders are named following the scheme: system_configuration_forcefield, or 1M_system_configuration_for

SISSA Open Data2022 · dataset · unknown

This tutorial program shows how to solve partial differential equations involving two non-matching discretisations. In particular we show how to solve a partial differential equation on a generic domain $\Omega$, enforcing some conditions on the solution of the problem on an embedded subregion $\Gamma$ of $\Omega$. When $\Gamma$ is of co-dimension one, this is also referred to as the Fictitious Bo

SISSA Open Data2022 · dataset · unknown

Neuronal firing, synaptic transmission, and its plasticity form the building blocks for processing and storage of information in the brain. It is unknown whether adult human synapses are more efficient in transferring information between neurons than rodent synapses. To test this, we recorded from connected pairs of pyramidal neurons in acute brain slices of adult human and mouse temporal cortex a

SISSA Open Data2022 · dataset · unknown

Public data repository related to the paper authored by Linaro et al. (2017), published on the European Journal of Neuroscience. Ensembles of cortical neurons can track fast-varying inputs and relay them in their spike trains, far beyond the cutoff imposed by membrane passive electrical properties and mean firing rates. Initially explored in silico and later demonstrated experimentally, investigat

SISSA Open Data2022 · dataset · unknown

Preprocessed, multi-site extracellular electrical recordings from neuronal cell cultures developing ex vivo on substrate-integrated microelectrode arrays (MEAs). Intracellular patch-clamp recordings from single cultured neurons. FUNDING Specific Grant Agreement n. 785907 (Human Brain Project SGA2) European Union’s Horizon 2020 Framework Programme for Research and Innovation; The Belgian Science Po

SISSA Open Data2022 · dataset · unknown

Data-set related to the publication

SISSA Open Data2022 · dataset · unknown

Correlated electrical activity in neurons is a prominent characteristic of cortical microcircuits. Despite a growing amount of evidence concerning both spike-count and subthreshold membrane potential pairwise correlations, little is known about how different types of cortical neurons convert correlated inputs into correlated outputs. We studied pyramidal neurons and two classes of GABAergic intern