Find research datasets worth reusing

Dataset for Green Transition Policies, Stakeholders and Practices in Bosnia and Herzegovina

This dataset contributed to deliverable 4.2 Regional Mapping Report and shows the mapping in Bosnia and Herzegovina. This report is the second deliverable of WP4 – Measuring and assessing impacts and costs of a just green transition in the WB, of the GreenFORCE project. It was jointly authored by the WB project partners, as well as 2 subcontracted parties from the region. The EU Economic and Investment Plan for the WB includes a green agenda for the WB, with pillars to be pursued for transitioning towards a carbon-neutral economy. Such a shift will surely challenge the economies and societies in the WB. The social and policy context is yet fragile to allow for the development and mass distribution of green transition technologies, while human resources are not prepared and/or are insufficient to produce and implement innovation. Yet, the green transition also paves the way towards new development and resilience opportunities. The research will inform on the readiness/potential of societal actors (industry, academia, policymakers, civic society) to embrace the pathways to transformation, and will propose a framework for continuous monitoring of impacts and costs. The key findings and lessons learnt derived within WP4 will be transferred into the scientific papers and policy briefs (WP 2 & 3) and published under the dissemination events (WP5). Regional mapping is a key task for the research, contributing to initial data gathering and the refinement of the research proposal, and to the sub-question on the identification of sectors and territories affected by the transitions and current progress of transition practices. This is a participatory mapping, engaging local stakeholders and communities to reveal local knowledge. Each WB partner will produce the respective country report, and Co-PLAN will work on the final regional report. This deliverable is the final regional report. It will also include the mapping frame used to conduct the mapping process. The WB partners will do the mapping for their own countries. GreenFORCE will subcontract data gathering for the remaining countries. The mapping is done for actors, practices and policies in place, territories upon the level of relevance and potential for engaging in green transition; and sectors. All partners will design the mapping frame, using also knowledge from other mapping processes. The frame will contain the type of information to be collected, the standardisation of data entry, and the tailored instruments to be deployed for accessing information.

Dataset for Green Transition Policies, Stakeholders and Practices in Montenegro

This dataset contributed to deliverable 4.2 Regional Mapping Report and shows the Montenegrin mapping. This report is the second deliverable of WP4 – Measuring and assessing impacts and costs of a just green transition in the WB, of the GreenFORCE project. It was jointly authored by the WB project partners, as well as 2 subcontracted parties from the region. The EU Economic and Investment Plan for the WB includes a green agenda for the WB, with pillars to be pursued for transitioning towards a carbon-neutral economy. Such a shift will surely challenge the economies and societies in the WB. The social and policy context is yet fragile to allow for the development and mass distribution of green transition technologies, while human resources are not prepared and/or are insufficient to produce and implement innovation. Yet, the green transition also paves the way towards new development and resilience opportunities. The research will inform on the readiness/potential of societal actors (industry, academia, policymakers, civic society) to embrace the pathways to transformation, and will propose a framework for continuous monitoring of impacts and costs. The key findings and lessons learnt derived within WP4 will be transferred into the scientific papers and policy briefs (WP 2 & 3) and published under the dissemination events (WP5). Regional mapping is a key task for the research, contributing to initial data gathering and the refinement of the research proposal, and to the sub-question on the identification of sectors and territories affected by the transitions and current progress of transition practices. This is a participatory mapping, engaging local stakeholders and communities to reveal local knowledge. Each WB partner will produce the respective country report, and Co-PLAN will work on the final regional report. This deliverable is the final regional report. It will also include the mapping frame used to conduct the mapping process. The WB partners will do the mapping for their own countries. The PC will subcontract data gathering for the remaining countries. The mapping is done for actors, practices and policies in place, territories upon the level of relevance and potential for engaging in green transition; and sectors. All partners will design the mapping frame, using also knowledge from other mapping processes. The frame will contain the type of information to be collected, the standardisation of data entry, and the tailored instruments to be deployed for accessing information.

Dataset for Green Transition Policies, Stakeholders and Practices in North Macedonia

This dataset contributed to deliverable 4.2 Regional Mapping Report and shows the North Macedonian mapping. This report is the second deliverable of WP4 – Measuring and assessing impacts and costs of a just green transition in the WB, of the GreenFORCE project. It was jointly authored by the WB project partners, as well as 2 subcontracted parties from the region. The EU Economic and Investment Plan for the WB includes a green agenda for the WB, with pillars to be pursued for transitioning towards a carbon-neutral economy. Such a shift will surely challenge the economies and societies in the WB. The social and policy context is yet fragile to allow for the development and mass distribution of green transition technologies, while human resources are not prepared and/or are insufficient to produce and implement innovation. Yet, the green transition also paves the way towards new development and resilience opportunities. The research will inform on the readiness/potential of societal actors (industry, academia, policymakers, civic society) to embrace the pathways to transformation, and will propose a framework for continuous monitoring of impacts and costs. The key findings and lessons learnt derived within WP4 will be transferred into the scientific papers and policy briefs (WP 2 & 3) and published under the dissemination events (WP5). Regional mapping is a key task for the research, contributing to initial data gathering and the refinement of the research proposal, and to the sub-question on the identification of sectors and territories affected by the transitions and current progress of transition practices. This is a participatory mapping, engaging local stakeholders and communities to reveal local knowledge. Each WB partner will produce the respective country report, and Co-PLAN will work on the final regional report. This deliverable is the final regional report. It will also include the mapping frame used to conduct the mapping process. The WB partners will do the mapping for their own countries. The PC will subcontract data gathering for the remaining countries. The mapping is done for actors, practices and policies in place, territories upon the level of relevance and potential for engaging in green transition; and sectors. All partners will design the mapping frame, using also knowledge from other mapping processes. The frame will contain the type of information to be collected, the standardisation of data entry, and the tailored instruments to be deployed for accessing information.

Dataset for Green Transition Policies, Stakeholders and Practices in Serbia

This dataset contributed to deliverable 4.2 Regional Mapping Report and shows the Serbian mapping. This report is the second deliverable of WP4 – Measuring and assessing impacts and costs of a just green transition in the WB, of the GreenFORCE project. It was jointly authored by the WB project partners, as well as 2 subcontracted parties from the region. The EU Economic and Investment Plan for the WB includes a green agenda for the WB, with pillars to be pursued for transitioning towards a carbon-neutral economy. Such a shift will surely challenge the economies and societies in the WB. The social and policy context is yet fragile to allow for the development and mass distribution of green transition technologies, while human resources are not prepared and/or are insufficient to produce and implement innovation. Yet, the green transition also paves the way towards new development and resilience opportunities. The research will inform on the readiness/potential of societal actors (industry, academia, policymakers, civic society) to embrace the pathways to transformation, and will propose a framework for continuous monitoring of impacts and costs. The key findings and lessons learnt derived within WP4 will be transferred into the scientific papers and policy briefs (WP 2 & 3) and published under the dissemination events (WP5). Regional mapping is a key task for the research, contributing to initial data gathering and the refinement of the research proposal, and to the sub-question on the identification of sectors and territories affected by the transitions and current progress of transition practices. This is a participatory mapping, engaging local stakeholders and communities to reveal local knowledge. Each WB partner will produce the respective country report, and Co-PLAN will work on the final regional report. This deliverable is the final regional report. It will also include the mapping frame used to conduct the mapping process. The WB partners will do the mapping for their own countries. The PC will subcontract data gathering for the remaining countries. The mapping is done for actors, practices and policies in place, territories upon the level of relevance and potential for engaging in green transition; and sectors. All partners will design the mapping frame, using also knowledge from other mapping processes. The frame will contain the type of information to be collected, the standardisation of data entry, and the tailored instruments to be deployed for accessing information.

opencc-by-4.0Jun 2023View details →

Supplementary datasets: sciCSR infers B cell state transition and predicts class-switch recombination dynamics using single-cell transcriptomic data (Ng et al.)

This repository contains data files from the manuscript Ng et al. "sciCSR infers B cell state transition and predicts class-switch recombination dynamics using single-cell transcriptomic data". Directories Please untar the sciCSR-data-files.tar.gz archive. Folder "Simulated_data" <ul> <li>'simulated_IGHC_reads' folder: containing list of simulated data (FASTQ sequence files and aligned BAM files) to test the accuracy of commonly used RNA-seq aligners (STAR, HISAT2) to distinguish sterile and productive heavy-chain transcripts. The code to generate these data is in the repository https://github.com/Fraternalilab/sciCSR-analysis.</li> <li>'simulated_transitions.RData': .RData file containing list of Seurat objects of simulated datasets of different number of cells, to test the robustness of sciCSR-inferred transitions across different dataset sizes.</li> </ul> Folder "Seurat_objects" <ul> <li>'human_Bcells_atlas_IGHC_NMF_rank.rds': Nonnegative matrix factorization (NMF) results to derive isotype signatures from the human B cell atlas (see below).</li> <li>'mouse_Bcells_atlas_IGHC_NMF_rank.rds': NMF results to derive isotype signatures from the mouse B cell atlas (see below)</li> <li>'Human_Bcells_atlas_IGHC.rds': Seurat object containing cells forming the 'human B cell atlas' (i.e. merging data from Stewart et al (https://doi.org/10.3389/fimmu.2021.602539) and King et al (https://doi.org/10.1101/2020.04.28.054775))</li> <li>'mouse_Bcells_atlas_IGHC.rds': Seurat object containing cells forming the 'mouse B cell atlas' (i.e. merging data from Mathew et al (https://doi.org/10.1016/j.celrep.2021.109286) and Luo et al (https://doi.org/10.1186/s13578-022-00795-6))</li> <li>'Stewart_HumanPeripheral_Bcells_IGHC.rds': Seurat object containing cells from the Stewart et al (https://doi.org/10.3389/fimmu.2021.602539) peripheral blood B cell atlas.</li> <li>* 'King_HumanTonsil_Bcells_IGHC.rds': Seurat object containing cells from the King et al. (https://doi.org/10.1101/2020.04.28.054775) human tonsilar B cell atlas.</li> <li>'Kim_Covid_Bcells_IGHC.rds': Seurat object containing cells from the Kim et al. (https://doi.org/10.1038/s41586-022-04527-1) time-course scRNA-seq data on human B cell response to SARS-CoV-2 vaccine.</li> <li>'Gomez_AID_VDJ_IGHC.rds': Seurat object containing cells from the Gómez-Escolar et al. (https://doi.org/10.15252/embr.202255000) Aicda mouse knockout scRNA-seq data.</li> <li>'Hong_IL23_Bcells_IGHC.rds': Seurat object containing cells from the Hong et al. (https://doi.org/10.4049/jimmunol.2000280) Il23 p19 mouse knockout scRNA-seq data.</li> <li>'scIFNg.rds': Seurat object containing scRNA-seq data of time-course in vitro culture of B cells stimulated with interferon gamma generated in this work.</li> </ul>

opencc-by-4.0Dec 2022View details →

Data and code for "Phase transitions in inorganic halide perovskites from machine learning potentials: The impact of size, rate, and the underlying exchange-correlation functional"

This record contains databases with data from density functional theory calculations used for training a series of neuroevolution potentials (NEPs), which are also included here. Information is also included for how to access the databases and run the NEP models. Databases The <code>*.db</code> files are databases with the results from density functional theory (DFT) calculations. These are sqlite databases in ase format, see <a href="https://wiki.fysik.dtu.dk/ase/tutorials/tut06_database/database.html">here</a> for more information. The <code>demo-database-access.py</code> script illustrates the most basic access. Models The neuroevolution potential (NEP) models described in the publication can be found in the <code>nep-*.txt</code> files. They can be used in conjunction with the <a href="https://gpumd.org">GPUMD package</a>. The <a href="https://calorine.materialsmodeling.org">calorine package</a> provides a Python interface to GPUMD. Primitive structures Several primitive structures in extended xyz format can be found in the <code>*.xyz</code> files. These structures have been relaxed using the NEP models included here. The <code>demo-for-using-structures-and-models.py</code> script illustrates how to access the structures and models.

opencc-by-4.0Dec 2021View details →

Transitions in flooding intensity on an experimental delta

Information about past environments is stored in sedimentary rocks via biogeochemical markers stored in the sediments. Using these markers, the signal of paleoclimate and other environmental factors can be reconstructed from the strata. However, because sediment accumulation occurs stochastically, the stratigraphic record is often difficult to reconstruct with confidence. It is generally thought that with a sufficient sample size though, noise averages out, and the true signal can be reconstructed. This assumption is valid when the statistics of erosion and deposition remain steady throughout the interval of interest. In fact, it is known that changes in climate can alter the statistics of erosion and deposition, but the impact of this effect on paleoclimate reconstructions remains poorly understood.  This dataset describes a set of physical delta experiments conducted at the Tulane University Sediment Dynamics and Stratigraphy Laboratory. Throughout the experiment, the level of flooding intensity that the delta was exposed to alternated between two end-member values, with transitions of varying durations. We monitored channel dynamics, and reconstructed synthetic climate records from the strata to see how the changing statistics of sediment accumulation impacted the preservation of environmental signals in the strata.  This dataset is an HDF5 dataset, which is a general format. The data largely consist of a set of 3D arrays that contain 2D topography and imagery data, where the third dimension is time. Each data object is paired with a 1D vector that links datasets across the time dimension, since data were collected at different intervals. The appropriate linking datasets are also included as CSVs.

opencc-by-4.0Jul 2023View details →

Quantum-enhanced sensing on optical transitions via finite-range interactions

This upload contains the data set for the manuscript titled "Quantum-enhanced sensing on optical transitions via finite-range interactions". Notes describing the added data set are uploaded alongside. Please see the Arxiv version https://arxiv.org/abs/2303.10688 for plots.

opencc-by-4.0Jul 2023View details →

Free energy simulations of receptor-binding domain opening in the SARS-CoV-2 spike indicate a barrierless transition with slow conformational motions

This online data set accompanies the manuscript entitled "Free energy simulations of receptor-binding domain opening in the SARS-CoV-2 spike indicate a barrierless transition with  slow conformational motions." The dataset is composed of the following files: * pmf0-now.dcd -- pmf63-now.dcd : molecular dynamics trajectory frames in each of the 64 umbrella sampling windows, from which water has been removed to save space * s1am_0-now.pdb -- s1am_63-now.pdb : initial coordinates in each of the 64 umbrella sampling windows, from which water has been removed, corresponding to the trajectory data above * view -- Visual Molecular Dynamics command script to load a trajectory,  e.g., in Linux, use "vmd -e view" * s1am_0-cg.dcd -- s1am_63-cg.dcd : molecular dynamics trajectory frames in each of the 64 umbrella sampling windows, coarse-grained to 1 bead per residue. * s1am_0-cg.pdb -- s1am_63-cg.pdb : initial coordinates in each of the 64 umbrella sampling windows, corresponding to the coarse-grained trajectory data above. * viewcg -- Visual Molecular Dynamics command script to load a coarse-grained trajectory,  e.g., in Linux, use "vmd -e viewcg" * 0readme -- brief instructions on how to view the trajectories * colors.vmd -- utility script for VMD * covmacros.vmd -- VMD script to define coronavirus spike subdomains * fe.zip -- ZIP archive that contains data and Matlab analysis files to reproduce the free energy profiles * diff.zip -- ZIP archive that contains data and Matlab analysis files to reproduce the diffusion and mean first passage times calculations * pca-qha.zip -- ZIP archive that contains the data and Matlab analysis files to compute the autocorrelation functions of trajectory displacements along principal/quasiharmonic modes Each ZIP archive contains a "0readme" file with brief instructions, and also the  results of the calculations

opencc-by-4.0May 2019View details →

A localization transition underlies the mode-coupling crossover of glasses

This dataset is associated to "A localization transition underlies the mode-coupling crossover of glasses" by D. Coslovich, A. Ninarello and L. Berthier [<a href="https://arxiv.org/abs/1811.03171">https://arxiv.org/abs/1811.03171</a>]. It includes post-processed data and workflow to reproduce the analysis and the figures of the article and of the supplemental information. Supplementary information is available in the Supplement section of the project document (project.pdf). The easiest way to reproduce the analysis and figures, and then check the results, is to use the make script: <pre><code class="language-bash">./make all</code></pre> Alternatively, the analysis and figures can be reproduced in any of the following ways <ul> <li>following the workflow described in the <a href="https://orgmode.org">org-mode</a> project file project.org</li> <li>using the individual bash and gnuplot scripts in src/ and plots/</li> </ul> Folders and files description: <ul> <li>analysis/: post-processed data</li> <li>src/: bash, python and gnuplot scripts needed to reproduce the analysis</li> <li>plots/: eps figures that appear in the paper and supplemental information and associated gnuplot scripts</li> <li>make: convenience script to setup the python environment, analyze the data and reproduce the figures</li> <li>project.org: org-mode project file with workflow and supplemental information</li> <li>project.pdf: pdf project file with workflow and supplemental information</li> <li>project.bib: bibtex bibliography associated to the project</li> <li>project.setup: org-mode export configuration</li> </ul> Dependencies: <ul> <li>numpy (1.21.6)</li> <li>scipy (1.11.1)</li> <li>argh (0.26.2)</li> <li><a href="https://pypi.org/project/atooms/">atooms</a> (1.9.1)</li> <li>gnuplot (5.0.0)</li> </ul> The analysis scripts have been tested with python 3.8. The org-mode project file has been tested with org version 9.1.13. Note: this dataset does not contain (at least yet) the particle configurations associated to saddle points, only the post-processed files containing selected properties of their normal modes. Changelog: <ul> <li>1.2.2 <ul> <li>fix requirements</li> </ul> </li> <li>1.2.1 <ul> <li>fix ./src/adiff.py</li> <li>fix final check of ./make all</li> <li>improve pdf layout</li> <li>improve handling of org properties</li> </ul> </li> <li> <ul> </ul> </li> <li> <ul> </ul> </li> <li>1.2.0 <ul> <li>add analysis of eigenvector-following optimizations</li> <li>small changes and fixes to analysis scripts</li> </ul> </li> <li>1.1.0 <ul> <li>add "all" target to ./make</li> <li>fix ./make check</li> <li>improve setup description</li> </ul> </li> <li>1.0.0 <ul> <li>initial submission</li> </ul> </li> </ul>

opencc-by-4.0Aug 2023View details →

Supplementary information: How robust is the ligand binding transition state?

We have used the REVO weighted ensemble approach followed by Markov state models to identify the ligand unbinding transition states for five ligands unbinding from the enzyme soluble epoxide hydrolase (sEH). This repo provides the counts matrices, properties and state (cluster) labels of the markov state models. The counts matrices can be converted to conformation space networks using CSNAnalysis software (<a href="https://github.com/ADicksonLab/CSNAnalysis">https://github.com/ADicksonLab/CSNAnalysis</a>). The networks are also provided in the gexf formatted files to be visualized in gephi (<a href="https://github.com/gephi/gephi">https://github.com/gephi/gephi</a>).

openmit-licenseSep 2023View details →

Dataset for "Separate measurement- and feedback-driven entanglement transitions in the stochastic control of chaos"

Raw datasets used in the paper "Separate measurement- and feedback-driven entanglement transitions in the stochastic control of chaos". Use with the GitHub repository to reproduce results and figures from the referenced paper (https://github.com/clema12/CliffordBernoulli)

opencc-by-4.0Jul 2023View details →

The effect of normal stress oscillations on fault slip behavior near the stability transition from stable to unstable motion

Tectonic fault zones are subject to normal stress variations with a wide range of spatio-temporal scales. Stress perturbations cover a wide range of frequencies and amplitudes from high frequency seismic waves generated by earthquakes to low frequency transients associated with solid Earth tides. These perturbations can reactivate critically stressed faults and trigger earthquakes. Here, we describe lab experiments to illuminate the physics of such changes in friction and the mechanics of earthquake triggering and fault reactivation. Friction tests were done in a double direct shear configuration for conditions near the stability transition from stable to unstable motion. We studied simulated fault gouge composed of quartz powder and conducted experiments at reference normal stress from 10 to 13.5 MPa. After shearing to steady state sliding, we applied sinusoidal normal stress oscillations of amplitude 0.5 to 2 MPa, and period of 0.5 to 50 s. We performed numerical simulations using measured values of rate/state friction (RSF) parameters to assess our data. Our results show that low frequency stress oscillations cause a Coulomb-like response of shear strength that transitions from stable slip to slow lab earthquakes as frequency increases. At the critical frequency predicted by RSF we observe periodic stick-slip behavior. Perturbations of high amplitude and short period weaken the fault, while lower amplitudes strengthen the fault. We find that a modified RSF formulation is able to accurately match our laboratory data. Our findings highlight the complex effects of stress perturbations for fault strength and the mode of fault slip. The data are uploaded are structured as follow: 1) For each experiment a .txt file of the datafile that is recorded from the machine (raw data) and a binary file containing the elaborated data (data_rp). The experiments information are listed in experiment_info.txt 2) The folder <a href="https://zenodo.org/api/files/89fe30fb-a2cb-4fcb-b9df-db80583fc652/codes_results.zip">codes_results.zip</a> contain the codes of the data analysis and the related results  The data are analyzed using rawPy that can be found at <a href="https://github.com/marcoscuderi/rawPy">https://github.com/marcoscuderi/rawPy</a> For any additional information please do not hesitate to contact the corresponding author Federico Pignalberi at federico.pignalberi@uniroma1.it

opencc-by-4.0Oct 2023View details →

Dataset for "Light-Induced Non-Thermal Phase Transition To The Topological Crystalline Insulator State In SnSe"

Dataset relative to the publication "Light-Induced Non-Thermal Phase Transition To The Topological Crystalline Insulator State In SnSe" Stefano Mocatti, Giovanni Marini, Matteo Calandra J. Phys. Chem. Lett. 2023, 14, XXX, 9329–9334 DOI: <a href="https://doi.org/10.1021/acs.jpclett.3c02450">10.1021/acs.jpclett.3c02450</a> The dataset contains the following folders Conv: Convergence tests for total energy, stress tensor and phonon frequencies Pseudo: All pseudopotentials used  Figures: All the data and script to reproduce the figures reported in the manuscript Fign: Simulation data referred to the nth figure of the manuscript The dataset contains also the preprint version of the manuscript (preprint.pdf) and the supporting information file (SI.pdf)

edi44/100

OLIGOTREND, a global database of multi-decadal timeseries of chlorophyll-a and nutrient concentrations in inland and transitional waters, 1986-2023

The Oligotrend database is a collection of multi-decadal chlorophyll-a and nutrient timeseries in inland and transitional waters. The objective of this Data Package was to explore how inland and transitional aquatic ecosystems respond to oligotrophication trends. Overall, the Oligotrend L1 database is made of 4.3 million valid observations originating from 1,894 stations. There are 238, 687 and 969 stations located in estuaries, lakes and rivers, respectively. The top 3 largest sources of data are the French national water quality monitoring (775 stations), the global database of lake datasets from Naderian et al. 2024 (378 stations), and the Chesapeake Bay Program (199 stations). The data was harmonized through a reproducible data processing pathway. In this Data Package, quality-checked level L1 data is provided, together with data sources, geographical coordinates of the stations, and the output of a trend analysis of all timeseries (level L2).

openCC (other)Nov 2025View details →

edi44/100

Biome Transition Along Elevational Gradients in New Mexico (SEON) AmeriFlux Data (2007- )

The varied topography and large elevation gradients that characterize the arid and semi-arid Southwest create a wide range of climatic conditions - and associated biomes - within relatively short distances. This creates an ideal experimental system in which to study the effects of climate on ecosystems. Such studies are critical givien that the Southwestern U.S. has already experienced changes in climate that have altered precipitation patterns (Mote et al. 2005), and stands to experience dramatic climate change in the coming decades (Seager et al. 2007; Ting et al. 2007). Climate models currently predict an imminent transition to a warmer, more arid climate in the Southwest (Seager et al. 2007; Ting et al. 2007). Thus, high elevation ecosystems, which currently experience relatively cool and mesic climates, will likely resemble their lower elevation counterparts, which experience a hotter and drier climate. In order to predict regional changes in carbon storage, hydrologic partitioning and water resources in response to these potential shifts, it is critical to understand how both temperature and soil moisture affect processes such as evaportranspiration (ET), total carbon uptake through gross primary production (GPP), ecosystem respiration (Reco), and net ecosystem exchange of carbon, water and energy across elevational gradients.We are using a sequence of six widespread biomes along an elevational gradient in New Mexico -- ranging from hot, arid ecosystems at low elevations to cool, mesic ecosystems at high elevation to test specific hypotheses related to how climatic controls over ecosystem processes change across this gradient. We have an eddy covariance tower and associated meteorological instruments in each biome which we are using to directly measure the exchange of carbon, water and energy between the ecosystem and the atmosphere. This gradient offers us a unique opportunity to test the interactive effects of temperature and soil moisture on ecosystem proce

openOpenJan 2020View details →

opencc-by-4.0Jan 2020View details →

Data for Research Assessment in the Transition to Open Science. 2019 EUA Open Science and Access Survey Results

This database refers to the data collected by the European University Association (EUA) for its Open Science and Access Survey 2019, which gathered responses from universities and higher education institutions across Europe. The full report published by the association is available at <a href="https://eua.eu/resources/publications/888:research-assessment-in-the-transition-to-open-science.html">https://eua.eu/resources/publications/888:research-assessment-in-the-transition-to-open-science.html</a>. The data included in this database refers only to those universities and higher education institutions that accepted their data to be available in open access (n=174). All information that could lead to the identification of individual universities and higher education institutions was removed from the database (cf. cells highlighted in red). The following files are available: <ul> <li>2019 EUA Open Science and Access Survey</li> <li>Database in the following formats: .xlsx (Microsoft Excel)</li> <li>Survey Codebook: includes information on all the variables and their coding.</li> </ul>

opencc-by-4.0Jan 2020View details →

Raw EEG-EOG data used in the publication "Auditory Electrooculogram-based Communication System for ALS Patients in Transition from Locked-in to Complete Locked-in State"

The dataset includes raw EEG and EOG recordings during BCI experiments for three patients: p11, p13, p15, and p16. The structure of the dataset is the following: patient/visit/day. The experiment is described in detail in the publication "Auditory Electrooculogram-based Communication System for ALS Patients in Transition from Locked-in to Complete Locked-in State". The correspondence between raw file and BCI session is reported in the attached pdf file "Supplementary Table S5 Session to Raw File Recordings Correspondence". The datasets include EEG and EOG channels. The data are raw (i.e. non filtered and non processed). Data have been acquired with a sampling rate of 500Hz using active electrodes and the amplifier V-Amp DC (Brain Products, Germany). EOG channels are labeled EOGU, EOGD, EOGR, EOGL namely for EOG up, down, right, left; the location in the 10-20 system are respectively SO1, IO1, LO1, LO2. The data are marked with triggers: for each session two markers indicate start and end of the session; for each trial markers indicate start of baseline, start of presentation of question, start of response time, start of feedback. Each trial was marked in a different way if it was a yes trial belonging to a training or feedback session, a no trial belonging to a training or feedback session, or a trial belonging to a speller session. The markers that have been used are the following: start 9                     yes no speller baseline       10  11  12 presentation 5   6    7 response      4   8    13 feedback      1   2    3 end 15

opencc-by-4.0Feb 2020View details →

Initial conditions to reproduce figures of the article "On the impact of tides on the transit-timing fits to the TRAPPIST-1 system"

The directory includes the initial conditions of the simulations needed to reproduce the figures of the article "On the impact of tides on the transit-timing fits to the TRAPPIST-1 system".  The simulations were done with Posidonius version v2019.07.30. The information to download and use Posidonius can be found here: <a href="https://www.google.com/url?q=https://www.blancocuaresma.com/s/posidonius&sa=D&source=hangouts&ust=1580820901945000&usg=AFQjCNEmxwuCiIgh9d-aTfx-bqB0_u_9BA">https://www.blancocuaresma.com/s/posidonius</a>.  That version was only slightly modified to use a maximum timestep size for the IAS15 algorithm.  The directory includes: <ul> <li>a README giving all the information defining the test directories</li> <li>test directories with a file called trappist1.json, which can be used to launch Posidonius: posidonius start --silent trappist1.json data_dir/trappist1.bin data_dir/trappist1_history.bin</li> </ul>