cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7776441
title: dataset for "Rapid Prediction of Liquid Structure from a Single Molecular Configuration Using Deep Learning"

description: The data sets are used to train, validate, and test the PointNet-MD model for rapid prediction of radial distribution functions for different liquids. Details about this work can be found in the paper entitled Rapid Prediction of a Liquid Structure from a Single Molecular Configuration Using Deep Learning.
DOI: 10.5281/zenodo.10421215
title: Dataset for paper "Process Modeling of Aerosol-cloud Interaction in Summertime Precipitating Shallow Cumulus over the Western North Atlantic"

description: This dataset contains LES model input and post-processed model output used in paper "Process Modeling of Aerosol-cloud Interaction in Summertime Precipitating Shallow Cumulus over the Western North Atlantic".
DOI: 10.5281/zenodo.8034148
title: Dataset for paper "Process Modeling of Aerosol-cloud Interaction in Summertime Precipitating Shallow Cumulus over the Western North Atlantic"

description: This dataset contains LES model input and post-processed model output used in paper "Process Modeling of Aerosol-cloud Interaction in Summertime Precipitating Shallow Cumulus over the Western North Atlantic".
DOI: 10.5281/zenodo.10811160
title: Pasillo and Sanjuanito Performance Data Set

description: These data sets contain timbre, tempo, harmonic complexity, tonal complexity and instrumentation data from a corpus of 74 recordings of Ecuadorian pasillos and sanjuanitos. The recordings span the years 1949 to 2023, and consist of ‘standards’ that have been performed and recorded consistently during the last 73 years. These data sets were produced for a research project investigating the stylistic changes over time in these two genres of Ecuadorian popular music, which, according to musicological consensus, have great symbolical and cultural importance in this country.
DOI: 10.5281/zenodo.10811159
title: Pasillo and Sanjuanito Performance Data Set

description: These data sets contain timbre, tempo, harmonic complexity, tonal complexity and instrumentation data from a corpus of 74 recordings of Ecuadorian pasillos and sanjuanitos. The recordings span the years 1949 to 2023, and consist of ‘standards’ that have been performed and recorded consistently during the last 73 years. These data sets were produced for a research project investigating the stylistic changes over time in these two genres of Ecuadorian popular music, which, according to musicological consensus, have great symbolical and cultural importance in this country.
DOI: 10.5281/zenodo.8223528
title: Data for "Challenges of variational quantum optimization with measurement shot noise"

description: In this repository, we save all the data used in the article "Challenges of variational quantum optimization with measurement shot noise" Phys. Rev. A 109, 032408.

For reproducing the same figure as in the article, we provide an interactive notebook 'paper-figure.ipynb' and its HTML version. 

Data

Unzip with

tar -xvf data.tar.gz

You will find ten data files:



 `dataferro.csv` Ferromagnetic model both for VQE and QAOA with random parameters initialization;

`datanoise.csv`Ferromagnetic model for VQE with random parameters initialization and circuit noise;

`data_spinglass.csv` Disordered model both for VQE and QAOA with random parameters initialization;

`data_linopt.csv` Ferromagnetic model for QAOA with annealing-like parameters initialization;

`data_lininit_rand.csv` Disordered model for QAOA with annealing-like parameters initialization;

`data_spinglass_iter1.csv` Disordered model for QAOA, no optimization and random parameters initialization;

`data_opt16shots.csv` Ferromagnetic model for QAOA, no optimization and annealing-like parameters initialization;

`datagrad.csv` Ferromagnetic model for VQE with gradient-based optimization;

`datagrad_eps05.csv` Ferromagnetic model for QAOA with gradient-based optimization;

`grad_epsilon.npz` Ferromagnetic model for QAOA with gradient-based optimization, varying \(\varepsilon\) in the finite differences formula.


Most of the data are CSV sheets, where you can find the aggregate results of the simulations described in our article. 

Abstract

Quantum enhanced optimization of classical cost functions is a central theme of quantum computing due to its high potential value in science and technology.The variational quantum eigensolver (VQE) and the quantum approximate optimization algorithm (QAOA) are popular variational approaches that are considered the most viable solutions in the noisy-intermediate scale quantum (NISQ) era.Here, we study the scaling of the quantum resources, defined as the required number of circuit repetitions, to reach a fixed success probability as the problem size increases, focusing on the role played by measurement shot noise, which is unavoidable in realistic implementations.Simple and reproducible problem instances are addressed, namely, the ferromagnetic and disordered Ising chains. Our results show that: 



VQE with the standard heuristic ansatz scales comparably to direct brute-force search when energy-based optimizers are employed. The performance improves at most quadratically using a gradient-based optimizer;

When the parameters are optimized from random guesses, also the scaling of QAOA implies problematically long absolute runtimes for large problem sizes;

QAOA becomes practical when supplemented with a physically-inspired initialization of the parameters.


Our results suggest that hybrid quantum-classical algorithms should possibly avoid a brute force classical outer loop, but focus on smart parameters initialization.
description: This work was also partially supported by the PNRR MUR project PE0000023-NQSTI.
DOI: 10.5281/zenodo.8223527
title: Data for "Challenges of variational quantum optimization with measurement shot noise"

description: In this repository, we save all the data used in the article "Challenges of variational quantum optimization with measurement shot noise" Phys. Rev. A 109, 032408.

For reproducing the same figure as in the article, we provide an interactive notebook 'paper-figure.ipynb' and its HTML version. 

Data

Unzip with

tar -xvf data.tar.gz

You will find ten data files:



 `dataferro.csv` Ferromagnetic model both for VQE and QAOA with random parameters initialization;

`datanoise.csv`Ferromagnetic model for VQE with random parameters initialization and circuit noise;

`data_spinglass.csv` Disordered model both for VQE and QAOA with random parameters initialization;

`data_linopt.csv` Ferromagnetic model for QAOA with annealing-like parameters initialization;

`data_lininit_rand.csv` Disordered model for QAOA with annealing-like parameters initialization;

`data_spinglass_iter1.csv` Disordered model for QAOA, no optimization and random parameters initialization;

`data_opt16shots.csv` Ferromagnetic model for QAOA, no optimization and annealing-like parameters initialization;

`datagrad.csv` Ferromagnetic model for VQE with gradient-based optimization;

`datagrad_eps05.csv` Ferromagnetic model for QAOA with gradient-based optimization;

`grad_epsilon.npz` Ferromagnetic model for QAOA with gradient-based optimization, varying \(\varepsilon\) in the finite differences formula.


Most of the data are CSV sheets, where you can find the aggregate results of the simulations described in our article. 

Abstract

Quantum enhanced optimization of classical cost functions is a central theme of quantum computing due to its high potential value in science and technology.The variational quantum eigensolver (VQE) and the quantum approximate optimization algorithm (QAOA) are popular variational approaches that are considered the most viable solutions in the noisy-intermediate scale quantum (NISQ) era.Here, we study the scaling of the quantum resources, defined as the required number of circuit repetitions, to reach a fixed success probability as the problem size increases, focusing on the role played by measurement shot noise, which is unavoidable in realistic implementations.Simple and reproducible problem instances are addressed, namely, the ferromagnetic and disordered Ising chains. Our results show that: 



VQE with the standard heuristic ansatz scales comparably to direct brute-force search when energy-based optimizers are employed. The performance improves at most quadratically using a gradient-based optimizer;

When the parameters are optimized from random guesses, also the scaling of QAOA implies problematically long absolute runtimes for large problem sizes;

QAOA becomes practical when supplemented with a physically-inspired initialization of the parameters.


Our results suggest that hybrid quantum-classical algorithms should possibly avoid a brute force classical outer loop, but focus on smart parameters initialization.
description: This work was also partially supported by the PNRR MUR project PE0000023-NQSTI.
DOI: 10.5281/zenodo.10813786
title: CIMURA_files
DOI: 10.5281/zenodo.10813787
title: CIMURA
DOI: 10.5281/zenodo.10815571
title: CIMURA_files
DOI: 10.5281/zenodo.10814791
title: Prediction model of the temporal dynamics of severe pest cashew  Anacampsis phytomiella using artificial neural networks
DOI: 10.5281/zenodo.10814790
title: Prediction model of the temporal dynamics of severe pest cashew  Anacampsis phytomiella using artificial neural networks
DOI: 10.5281/zenodo.10815668
title: S-A-T
DOI: 10.5281/zenodo.10815669
title: S-A-T
DOI: 10.5281/zenodo.10805119
title: Machining Simulated Data, Modal 0, 6 Cutting Teeth

description: This is a simulated data set for machining data based on the work done by T. Schmitz, K. Smith, Machining Dynamics: Frequency Response to Improved Productivity, Second Edition (Springer, New York, NY, 2019).

This is Modal 0, with 6 cutting teeth across forces from 600-800
DOI: 10.5281/zenodo.10822069
title: Different Formation Modes of the North‒South-Trending Rifts in Southern Tibet: Implications from Ambient Noise Tomography

description: To reveal the formation modes of the southern Tibetan rifts, we performed ambient noise tomography to image the shear-wave velocity structure beneath different rifts. This dataset consists of there parts. The CFs_STB.zip contains correlation functions of all the station pairs. The disps_STB.zip contains the Rayleigh surface wave phase velocity dispersion curves. And the 3-D shear-wave model beneath the rifts of southern Tibet Pleatau is provided in Rift_STB_Vs_model.zip.
DOI: 10.5281/zenodo.10822070
title: Different Formation Modes of the North‒South-Trending Rifts in Southern Tibet: Implications from Ambient Noise Tomography

description: To reveal the formation modes of the southern Tibetan rifts, we performed ambient noise tomography to image the shear-wave velocity structure beneath different rifts. This dataset consists of there parts. The CFs_STB.zip contains correlation functions of all the station pairs. The disps_STB.zip contains the Rayleigh surface wave phase velocity dispersion curves. And the 3-D shear-wave model beneath the rifts of southern Tibet Pleatau is provided in Rift_STB_Vs_model.zip.
DOI: 10.5281/zenodo.10528545
title: Extended supplementary data for manuscript: A single dose of cocaine rewires the 3D genome structure of midbrain dopamine neurons

description: Cocaine, and other addictive drugs, can induce long-term synaptic modifications in midbrain dopamine neurons (DNs) which play key roles in the development of addiction, but the cellular basis of these long-term changes are not well understood. In this work, we applied Genome Architecture Mapping and single nucleus transcriptomic analyses in mouse midbrain DNs and found extensive rewiring of 3D genome architecture lasting 1 and 14 days upon a single cocaine exposure. The affected genes have major roles in cocaine responses and are preferentially expressed in a DN sub-type that projects to secondary reward-pathway regions. These results reveal an unexpected role for 3D genome remodelling in the long-term memory of a single cocaine exposure, providing new insights about the inception of drug addiction and 3D genome plasticity.
DOI: 10.5281/zenodo.10623661
title: Extended supplementary data for manuscript: A single dose of cocaine rewires the 3D genome structure of midbrain dopamine neurons

description: Cocaine, and other addictive drugs, can induce long-term synaptic modifications in midbrain dopamine neurons (DNs) which play key roles in the development of addiction, but the cellular basis of these long-term changes are not well understood. In this work, we applied Genome Architecture Mapping and single nucleus transcriptomic analyses in mouse midbrain DNs and found extensive rewiring of 3D genome architecture lasting 1 and 14 days upon a single cocaine exposure. The affected genes have major roles in cocaine responses and are preferentially expressed in a DN sub-type that projects to secondary reward-pathway regions. These results reveal an unexpected role for 3D genome remodelling in the long-term memory of a single cocaine exposure, providing new insights about the inception of drug addiction and 3D genome plasticity.
DOI: 10.5281/zenodo.10528544
title: Extended supplementary data for manuscript: A single dose of cocaine rewires the 3D genome structure of midbrain dopamine neurons

description: Midbrain dopamine neurons (DNs) respond to a first exposure to addictive drugs and play key roles in chronic drug usage. As the synaptic and transcriptional changes that accompany an acute cocaine exposure are mostly resolved within hours and up to a few days, the long-term molecular changes that encode the cellular memory of the exposure within DNs remains unknown. To investigate whether a single cocaine exposure induces long-term changes in 3D genome structure of DNs, we applied Genome Architecture Mapping and single nucleus transcriptomic analyses in mouse midbrain. We found extensive rewiring of 3D genome architecture at 24h past exposure which lasts or worsens by 14 days, outlasting transcriptional responses. The cocaine-induced chromatin rewiring occurs at all genomic scales and affects genes with major roles in cocaine-induced synaptic changes. Cocaine exposure triggers extensive changes in chromatin condensation in post-synaptic and post-transcriptional regulatory genes, for example the unfolding of Rbfox1 which becomes most prominent 14 days post exposure. Finally, structurally remodeled genes are most expressed in a DN sub-type with low expression of the dopamine auto-receptor Drd2, a key feature of highly cocaine-sensitive cells. These results reveal an important role for long-lasting 3D genome remodelling in the cellular memory of a single cocaine exposure, providing new hypotheses for understanding the inception of drug addiction and 3D genome plasticity.
DOI: 10.5281/zenodo.10815603
title: Extended supplementary data for manuscript: A single dose of cocaine rewires the 3D genome structure of midbrain dopamine neurons

description: Midbrain dopamine neurons (DNs) respond to a first exposure to addictive drugs and play key roles in chronic drug usage. As the synaptic and transcriptional changes that accompany an acute cocaine exposure are mostly resolved within hours and up to a few days, the long-term molecular changes that encode the cellular memory of the exposure within DNs remains unknown. To investigate whether a single cocaine exposure induces long-term changes in 3D genome structure of DNs, we applied Genome Architecture Mapping and single nucleus transcriptomic analyses in mouse midbrain. We found extensive rewiring of 3D genome architecture at 24h past exposure which lasts or worsens by 14 days, outlasting transcriptional responses. The cocaine-induced chromatin rewiring occurs at all genomic scales and affects genes with major roles in cocaine-induced synaptic changes. Cocaine exposure triggers extensive changes in chromatin condensation in post-synaptic and post-transcriptional regulatory genes, for example the unfolding of Rbfox1 which becomes most prominent 14 days post exposure. Finally, structurally remodeled genes are most expressed in a DN sub-type with low expression of the dopamine auto-receptor Drd2, a key feature of highly cocaine-sensitive cells. These results reveal an important role for long-lasting 3D genome remodelling in the cellular memory of a single cocaine exposure, providing new hypotheses for understanding the inception of drug addiction and 3D genome plasticity.
DOI: 10.5281/zenodo.10791253
title: Data from: Casimir repulsion with biased semiconductors

description: This repository provides data underlying the figures in the manuscript titled 'Casimir repulsion with biased semiconductors'.

The data is given in the CSV-file format and it is organized into subfolders with the respective figure name. For more information see the README files in those subfolders.
DOI: 10.5281/zenodo.10791252
title: Data from: Casimir repulsion with biased semiconductors

description: This repository provides data underlying the figures in the manuscript titled 'Casimir repulsion with biased semiconductors'.

The data is given in the CSV-file format and it is organized into subfolders with the respective figure name. For more information see the README files in those subfolders.
DOI: 10.5281/zenodo.10802545
title: Lemur Database for Taxonomic Profiling (bacteria, archaea, fungi)
DOI: 10.5281/zenodo.10802546
title: Lemur Database for Taxonomic Profiling (bacteria, archaea, fungi)
DOI: 10.6073/pasta/b6395e17ac59b5ee17f784a713c6d838
title: Atlantic ghost crab (Ocypode quadrata) burrow counts at shorebird nests and randomly available sites on Metompkin Island, Virginia, 2022

description: Atlantic ghost crabs (Ocypode quadrata) are predators of beach-nesting shorebirds, their nests, and their chicks on the United States' Atlantic and Gulf coasts. Ghost crabs may also disturb birds, altering their foraging, habitat use, or nest and brood attendance patterns. Shorebird conservation strategies often involve predator and disturbance management to improve reproductive success, but efforts rarely target ghost crabs. Despite the threat to shorebird reproductive success, ghost crabs are a poorly understood part of the beach ecosystem and additional knowledge about ghost crab habitat selection is needed to inform shorebird conservation. We monitored ghost crab activity, defined as burrow abundance, throughout the shorebird breeding season on Metompkin Island, Virginia, an important breeding site for piping plovers (Charadrius melodus) and American oystercatchers (Haematopus palliatus). We counted burrows at shorebird nests and random points throughout the shorebird breeding season and tested whether ghost crab activity was greater at shorebird nest sites than random sites. We observed burrows at all nest sites in our study area (n = 63 nests), but found fewer burrows at nest sites than random sites. Ghost crabs may avoid shorebird nest sites due to aggressive defensive behaviors from incubating adults or differences in microhabitat characteristics selected by shorebirds versus ghost crabs. We also tested the effects of date, air temperature, habitat type, and shell cover on the abundance of ghost crab burrows. We found that while burrows were present across the barrier island landscape, there were more burrows in sandy habitats with sparse to little shell cover and in and behind the dunes relative to the beach and beach-front berm. Ghost crab activity increased later in the shorebird breeding season and as air temperature increased. Understanding when and where ghost crabs are most likely to be active in the landscape can aid decision-making to benefit imperiled shorebird populations.
DOI: 10.5281/zenodo.7261533
title: Data in support to the manuscript: Testing a novel sensor design to jointly measure cosmic-ray neutrons, muons and gamma rays for non-invasive soil moisture estimation by Gianessi et al. (2024)

description: The files contain data presented and discussed in the manuscript: Testing a novel sensor design to jointly measure cosmic-ray neutrons, muons and gamma rays for non-invasive soil moisture estimation by Gianessi et al. (2024).



Gianessi, Stefano, Matteo Polo, Luca Stevanato, Marcello Lunardon, Till Francke, Sascha E. Oswald, Hami Said Ahmed, et al. “Testing a Novel Sensor Design to Jointly Measure Cosmic-Ray Neutrons, Muons and Gamma Rays for Non-Invasive Soil Moisture Estimation.” Geoscientific Instrumentation, Methods and Data Systems 13, no. 1 (January 16, 2024): 9–25. https://doi.org/10.5194/gi-13-9-2024.


 
description: The study was partially conducted within the CRP IAEA project D12014 (Enhancing agricultural resilience andwater security using Cosmic-Ray Neutron Sensor) and within the 21GRD08 SoMMet project. The SoMMet project has received funding from the European Partnership on Metrology, co-financed from the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States (funder name European Partnership on Metrology; funder ID 10.13039/100019599; grant no. 21GRD08 SoMMet).
DOI: 10.5281/zenodo.7261534
title: Data in support to the manuscript: Testing a novel sensor design to jointly measure cosmic-ray neutrons, muons and gamma rays for non-invasive soil moisture estimation by Gianessi et al. (2024)

description: The files contain data presented and discussed in the manuscript: Testing a novel sensor design to jointly measure cosmic-ray neutrons, muons and gamma rays for non-invasive soil moisture estimation by Gianessi et al. (2024).



Gianessi, Stefano, Matteo Polo, Luca Stevanato, Marcello Lunardon, Till Francke, Sascha E. Oswald, Hami Said Ahmed, et al. “Testing a Novel Sensor Design to Jointly Measure Cosmic-Ray Neutrons, Muons and Gamma Rays for Non-Invasive Soil Moisture Estimation.” Geoscientific Instrumentation, Methods and Data Systems 13, no. 1 (January 16, 2024): 9–25. https://doi.org/10.5194/gi-13-9-2024.


 
description: The study was partially conducted within the CRP IAEA project D12014 (Enhancing agricultural resilience andwater security using Cosmic-Ray Neutron Sensor) and within the 21GRD08 SoMMet project. The SoMMet project has received funding from the European Partnership on Metrology, co-financed from the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States (funder name European Partnership on Metrology; funder ID 10.13039/100019599; grant no. 21GRD08 SoMMet).
DOI: 10.5281/zenodo.10814748
title: Dataset: Intercavity polariton slows down dynamics in strongly coupled cavities

description: Dataset for the experimental data of article:  Intercavity polariton slows down dynamics in strongly coupled cavities
DOI: 10.5281/zenodo.10814747
title: Dataset: Intercavity polariton slows down dynamics in strongly coupled cavities

description: Dataset for the experimental data of article:  Intercavity polariton slows down dynamics in strongly coupled cavities
DOI: 10.5281/zenodo.10815746
title: EARLY WARNING OF ATRIAL FIBRILLATION USING DEEP LEARNING
DOI: 10.5281/zenodo.10815747
title: EARLY WARNING OF ATRIAL FIBRILLATION USING DEEP LEARNING
DOI: 10.5281/zenodo.10815750
title: Dataset for "An innovative pure rotational Raman lidar for accurately profiling atmospheric temperature and aerosol/cloud backscatter coefficients"

description: This is the dataset used in the paper "An innovative pure rotational Raman lidar for accurately profiling atmospheric temperature and aerosol/cloud backscatter coefficients"
DOI: 10.5281/zenodo.10815751
title: Dataset for "An innovative pure rotational Raman lidar for accurately profiling atmospheric temperature and aerosol/cloud backscatter coefficients"

description: This is the dataset used in the paper "An innovative pure rotational Raman lidar for accurately profiling atmospheric temperature and aerosol/cloud backscatter coefficients"
DOI: 10.34740/kaggle/dsv/7853952
title: Nanostring raw and normalized data