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8,537 results for “Openness”
The LOTUS Initiative for Open Natural Products Research: biological and chemical trees
<p>Biological and chemical trees made from frozen metadata (<a href="https://doi.org/10.5281/zenodo.5794106">10.5281/zenodo.5794106</a>) (for example, for PubChem)</p>
Data set for phase-field simulation of epitaxial crystal growth in open fractures with lateral flow
<p>The numerical data in this repository consists of the simulation data of epitaxial crystal growth in open fractures with lateral flow. The simulations were performed using the software package named "Pace3D".</p> <p>The simulation data shows the grain structure, the concentration field and the fluid flow velocity in stream direction (if present) at intermediate stages. It was converted from the Pace3D output data format to VTK data format. The VTK files can be visualized using open source software packages like Paraview. For visualization the data has to be decompressed (e.g. with gzip, 7zip).</p>
Trapped Pore Waters in the Open Proton Channel Hv1
<p>The voltage-gated proton channel, Hv1, is crucial for innate immune responses. According to alternative hypotheses, protons either hop on top of an uninterrupted water wire or bypass titratable amino acids, interrupting the water wire halfway across the membrane. To distinguish between both hypotheses, the water mobility for the putative case of an uninterrupted wire is estimated. The predicted single-channel water permeability 2.3 × 10<sup>-12</sup>cm<sup>3</sup> s<sup>-1</sup> reflects the permeability-governing number of hydrogen bonds between water molecules in single-file configuration and pore residues. However, the measured unitary water permeability does not confirm the predicted value. Osmotic deflation of reconstituted lipid vesicles reveals negligible water permeability of the Hv1 wild-type channel and the D174A mutant open at 0 mV. The conductance of 1400 H<sup>+</sup>s<sup>-1</sup> per wild-type channel agrees with the calculated diffusion limit for a ≈2 Å capture radius for protons. Removal of a charged amino acid (D174) at the pore mouth decreases H<sup>+</sup> conductance by reducing the capture radius. At least one intervening amino acid contributes to H<sup>+</sup> conductance while interrupting the water wire across the membrane.</p>
Open clusters in LISC 2: high Galactic latitude ones
<p>The basic information of 56 new cluster candidates and the colour-magnitude diagrams of some ones that were fitted are given here.</p>
Open source and open hardware: developing tools that are accessible and customisable
<p><strong>The following video describes how ROMI uses open source hardware to support communities through customisation and adaptation. Funded by EU Grant 773875.</strong></p> <p><em>Videos are available in:</em></p> <ul> <li>Hi-res (1080p Apple ProRes)</li> <li>Mid-res (1080p H265)</li> </ul> <p><strong>Video script:</strong></p> <p>(MINCHIN) A key aspect and component of the ROMI project is that it should be open source so there is no proprietary software there's no ownership over the designs in fact it's created to be hacked customised and adapted to any farm.<br> <br> (HANAPPE) One of the aspects of the ROMI project is open hardware and we started from scratch like buying a motor buying a motor-controller programming the motor controller and which is maybe different than many of the projects you might see more industrial projects who might rely more on say high-end standard components from from the industry but i think there's a real advantage in trying to build everything up is that first you understand everything you can explain everything you can fix anything you can you know document anything for you know DIY farmers that they you know if they want to replace one motor with another and understanding that all allows you to quickly experiment stuff without having to depend on someone else who's working with say a closed source component and it allows you to be quite reactive and of course in the end allows you to be fairly cost effective.<br> <br> (BAORI) One of the things we set out to do with this project was to make it accessible and the idea is that at the end of the project everything will be open source so from the frame to the software the designs the cad everything will be open source so if you're a maker if you're somebody who is an engineer and wants to build one of these robots yourself you'll be able to download everything including the software to be able to make it run and because we wanted it to be accessible we started out with one thought that was everything that we put into this rover should also be accessible.<br> <br> (CAMPRODON) So we are trying to bring that philosophy that is embedded within Fab Labs slash (/) maker movement at large the open hardware movement, of how you design for distributed manufacturing. Which means that you take design decisions on the way that you build things which are meant for others replicated in new laboratories using new machines and you do that on top of a network such as a Fab Lab network which is a robust yet heterogeneous.<br> <br> (BARBERAN) It seems like someone tinkered with it. The idea when we design this is to constrain ourselves to do it in a way that anyone else can build it easily. So we try to keep the type and the complexity of the tools we use as small and simple as we can, so we use 3d printers that today are really accessible, we use CNC machines that's maybe the the most complex machine we use but it was it was needed because we need to build something that can stand the weather in a harsh environment in a farm. So we use aluminium and plastic and the rest of the components are mostly commercial components so the the process of designing it is a common go between the computer and the farm and the fab lab we tried here with the cable on the office to hang the first versions of the of the cable bot then we come back to redesign the pieces and then we adjust the sizes of the pulleys and the springs and then we do another model. And so this ability to reiterate so fast is also provided by the simplicity of the tools we use. Using a really simple 3d printer to build a robot is allows you to do in one month several versions and iterations of the same robot.<br> <br> (HANAPPE) In the end our goal is sustainability it's not technology, and what is the best way for whatever we build to have an impact on on say farmers in Europe or wider, and if if what we do is good then we would like them to have access to these tools, and there's some sort of a confidence that then there will be some financing flowing back to us.<br> <br> (MINCHIN) When we open source this knowledge and these tools it allows for an abundance of researchers of practitioners to come together to find the solutions, we don't have to depend on a small development team so the the library of tools that are developed are really a public library for others to to use and to adapt.<br> <br> (BARBERAN) At the end I think the the most important part that we don't even realise because we just do it because we are on the on the inertia of doing it is that we are setting rocks for the future. At the end we are not making right now the the the best robot the best tool what we are doing is setting ground to build on the future the best robot and the best thing built by people not by us because we don't we are not farmers we are not going to design the best robot and we are not a big company with resources as crazy to to make the ultra high-tech thing. But we are able to do something to share with people and a lot of heads think better than a couple of heads you know. The the model that that linux a lot of people in the linux community use is we are dumber than them but we are hundreds of thousands. Hundreds of thousands of heads think better than 10 heads so being able to share that knowledge and to include people in in the development of their own tools i think is the best part on a mid and long term way of seeing this.</p>
Data set open access of Palm Oil Supply Chain
<p>This data set including interview recorded as the qualitative data, picture, draft article, and interview transcript. This is open access data.</p>
RESILOC Semantic Layer Open Data
<p>Ontologies implemented for the RESILOC project.</p>
Open-Unmix-Pytorch LabelNoise
<p>SDXDB21 LabelNoise Baseline</p> <pre>We split the training data into train and valid. For valid, the following songs were used:</pre> <pre>bc1f2967-f834-43bd-aadc-95afc897cfe7 cc3e4991-6cce-40fe-a917-81a4fbb92ea6 ed90a89a-bf22-444d-af3d-d9ac3896ebd2 f4b735de-14b1-4091-a9ba-c8b30c0740a7 bc964128-da16-4e4c-af95-4d1211e78c70 cc7f7675-d3c8-4a49-a2d7-a8959b694004 f40ffd10-4e8b-41e6-bd8a-971929ca9138</pre> <pre> The following commands were used to create the models:</pre> <pre><code class="language-bash">OMP_NUM_THREADS=1 CUDA_VISIBLE_DEVICES=3 python train.py \ --root /sdxdb23_labelnoise_v1.0 \ --dataset trackfolder_fix \ --target-file vocals.wav \ --interferer-files bass.wav drums.wav other.wav \ --random-track-mix \ --lr-decay-patience 160 \ --source-augmentations gain channelswap OMP_NUM_THREADS=1 CUDA_VISIBLE_DEVICES=4 python train.py \ --root /sdxdb23_labelnoise_v1.0 \ --dataset trackfolder_fix \ --target-file bass.wav \ --interferer-files vocals.wav drums.wav other.wav \ --random-track-mix \ --lr-decay-patience 160 \ --source-augmentations gain channelswap OMP_NUM_THREADS=1 CUDA_VISIBLE_DEVICES=5 python train.py \ --root /sdxdb23_labelnoise_v1.0 \ --dataset trackfolder_fix \ --target-file drums.wav \ --interferer-files bass.wav vocals.wav other.wav \ --random-track-mix \ --lr-decay-patience 160 \ --source-augmentations gain channelswap OMP_NUM_THREADS=1 CUDA_VISIBLE_DEVICES=7 python train.py \ --root /sdxdb23_labelnoise_v1.0 \ --dataset trackfolder_fix \ --target-file other.wav \ --interferer-files bass.wav drums.wav vocals.wav \ --random-track-mix \ --lr-decay-patience 160 \ --source-augmentations gain channelswap</code></pre> <p> </p>
Open-Unmix Pytorch Bleeding
<p>SDXDB21 Bleeding Baseline</p> <pre>We split the training data into train and valid. For valid, the following songs were used:</pre> <pre>bc1f2967-f834-43bd-aadc-95afc897cfe7 cc3e4991-6cce-40fe-a917-81a4fbb92ea6 ed90a89a-bf22-444d-af3d-d9ac3896ebd2 f4b735de-14b1-4091-a9ba-c8b30c0740a7 bc964128-da16-4e4c-af95-4d1211e78c70 cc7f7675-d3c8-4a49-a2d7-a8959b694004 f40ffd10-4e8b-41e6-bd8a-971929ca9138</pre> <pre>The following commands were used to create the models:</pre> <pre><code class="language-bash">OMP_NUM_THREADS=1 CUDA_VISIBLE_DEVICES=3 python train.py \ --root /sdxdb23_bleeding_v1.0 \ --dataset trackfolder_fix \ --target-file vocals.wav \ --interferer-files bass.wav drums.wav other.wav \ --random-track-mix \ --lr-decay-patience 160 \ --source-augmentations gain channelswap OMP_NUM_THREADS=1 CUDA_VISIBLE_DEVICES=4 python train.py \ --root /sdxdb23_bleeding_v1.0 \ --dataset trackfolder_fix \ --target-file bass.wav \ --interferer-files vocals.wav drums.wav other.wav \ --random-track-mix \ --lr-decay-patience 160 \ --source-augmentations gain channelswap OMP_NUM_THREADS=1 CUDA_VISIBLE_DEVICES=5 python train.py \ --root /sdxdb23_bleeding_v1.0 \ --dataset trackfolder_fix \ --target-file drums.wav \ --interferer-files bass.wav vocals.wav other.wav \ --random-track-mix \ --lr-decay-patience 160 \ --source-augmentations gain channelswap OMP_NUM_THREADS=1 CUDA_VISIBLE_DEVICES=7 python train.py \ --root /sdxdb23_bleeding_v1.0 \ --dataset trackfolder_fix \ --target-file other.wav \ --interferer-files bass.wav drums.wav vocals.wav \ --random-track-mix \ --lr-decay-patience 160 \ --source-augmentations gain channelswap</code></pre> <p> </p>
Open Science stakeholders in Albania, Armenia, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Georgia, Greece, Hungary, Moldova, Montenegro, North Macedonia, Romania, Serbia and Slovenia [updated, February 2023]
<p>The dataset contains tabular information about 1118 stakeholders (1079 unique entities) in 15 countries of Southeastern Europe that have been identified as Open Science stakeholders within the framework of the project NI4OS-Europe, funded by the European Commission under the INFRAEOSC-5b call.</p> <p>It was collected between November 2022 and the end of January 2023 based on the information provided by project partners from Albania, Armenia, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Georgia, Greece, Hungary, Moldova, Montenegro, North Macedonia, Romania, Serbia and Slovenia. It builds upon the dataset collected in 2019 as part of the NI4OS-Europe landscaping activity (Kosanović, Biljana, Ševkušić, Milica, & Otašević, Vladimir. (2020). Open Science stakeholders in Albania, Armenia, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Georgia, Greece, Hungary, Moldova, Montenegro, North Macedonia, Romania, Serbia and Slovenia [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.3766125">https://doi.org/10.5281/zenodo.3766125</a>). In November 2022, the project partners were invited to review and update this original dataset.</p> <p>The stakeholders are classified into five groups based on their role in the research ecosystem: FUND (research funders and policymakers), CREATE (universities, research institutes, etc.), SUPPORT (libraries, repositories, research infrastructures, etc.), CONSUME (organizations using research results in their work, e.g. SMEs) and FACILITATE (individuals and organizations involved in promoting the principles off open science).<br> The dataset contains the following information for each entry: country, stakeholder category/role, official/legal name of the organization, city, Zipcode, addresses (street name and number), URL of the institutional website, geographic coordinates (latitude and longitude).</p> <p>****Dataset contents****<br> NI4OS_Stakeholder_Map_20230222.csv, data file, comma-separated values<br> NI4OS_Stakeholder_Map_20230222-README.txt, metadata, text format</p> <p>****Column headers and field types***<br> Country (text)<br> StakeHoldersRole (text, ItemList{fund,create,facilitate,consume,support})<br> InstitutionName (text)<br> City (text)<br> Zipcode (text)<br> Address (text)<br> URL (text-web address)<br> Latitude (number.decimal(2,7))<br> Longitude (number.decimal(2,7))</p> <p>Data from this dataset have been quality-checked by the NI4OS-Europe project team. We recommend these data for further use.<br> <br> The dataset was used to generate an interactive map: https://ni4os.eu/os-stakeholders-map//</p> <p>****Dataset license****<br> The dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0), <a href="https://creativecommons.org/licenses/by/4.0">https://creativecommons.org/licenses/by/4.0</a></p>
Studies Rejected and Selected on the Systematic Mapping of Open Science Practices in Software Engineering
<p>Files in .xlsx format, describing the rejected and selected studies, recovered in a Systematic Mapping about Open Science Practices in Software Engineering.</p>
Atomistic Picture of Opening-Closing Dynamics of DNA Holliday Junction Obtained by Molecular Simulations: Simulations Topology, Coordinate, Parameters, Input and Output files
<p>The simulation data for the article: Atomistic Picture of Opening-Closing Dynamics of DNA Holliday Junction Obtained by Molecular Simulations.</p> <p>ck_metad.tar.gz: Includes the topology files, coordinates files and gromacs parameter input file (.mdp) used for WT-MetaD-HREX simulations with different c(K+), which are newly added runs for resubmission. The corresponding script files and Plumed files are in GitHub.</p> <p>eq_mini.tar.gz: Includes the parameter files required for the equilibration and minimization protocol.</p> <p>standard_md.tar.gz: Includes the topology files and coordinate files for all systems built in the article. Also include the hbfix parameters file required on the MD run, and the MD script file.</p> <p>metad.tar.gz: Includes the topology files, coordinates files and gromacs parameter input file (.mdp) used for WT-MetaD-HREX simulations. The corresponding script files and Plumed files are in GitHub.</p> <p>metad*fe*.tar.gz: Plumed HILLS files and metad.bias data used for drawing the free energy landscapes.</p> <p>ions.tar.gz: Data used for Figure.3 in the manuscript</p> <p>si_data.tar.gz: All data used for SI figures.</p>
TIHM: An open dataset for remote healthcare monitoring in dementia
<p>Dementia is a progressive condition that affects cognitive and functional abilities. There is a need for reliable and continuous health monitoring of People Living with Dementia (PLWD) to improve their quality of life and support their independent living. Healthcare services often focus on addressing and treating already established health conditions that affect PLWD. Managing these conditions continuously can inform better decision-making earlier for higher-quality care management for PLWD. The Technology Integrated Health Management (TIHM) project developed a new digital platform to routinely collect longitudinal observational and measurement data within the home and apply machine learning and analytical models for the detection and prediction of adverse health events affecting the well-being of PLWD. This work describes the TIHM dataset collected during the second phase (i.e., feasibility study) of the TIHM project. The data was collected from homes of 56 PLWD and associated with events and clinical observations (daily activity, physiological monitoring, and labels for health-related conditions). The study recorded an average of 50 days of data per participant, totalling 2803 days.</p> <p> </p> <p>We have provided raw data and guidelines on how to access, visualise, manipulate and predict health-related events within the dataset, available on the <a href="https://github.com/PBarnaghi/TIHM-Dataset">Github</a> repository. The Jupyter Notebooks have been developed using Python 3.9. </p> <p> </p> <p><strong>The dataset is provided for research and patient benefit purposes.<br> Please acknowledge the Surrey and Borders Partnership NHS Foundation Trust in any publication or use of this dataset.</strong></p>
Tools_Visual Analysis_SSH Open Marketplace
<p>A dataset of visual-analysis-tools based on the <a href="https://marketplace.sshopencloud.eu/">SSH Open Marketplace</a> created for the <a href="https://zfmedienwissenschaft.de/online/open-media-studies-blog">Open-Media-Studies-Blog</a>.</p>
Open access and international co-authorship: a longitudinal study of the United Arab Emirates research output
<p>Enriched data from Scopus used for the article: Open access and international co-authorship: a longitudinal study of the United Arab Emirates research output</p>
Central European Grid Frequency data in Open-ENF .fredb format
<p>This file contains the Central European Wide Area Grid frequency for each second betwen 31st Dec 2009 23:00 UTC and 31st Dec 2020 23:00</p>
Open Research
<p>Open Research on "Advantages of GSMaP data for Multi-timescale Precipitation Estimation in Luzon"</p>
Deciphering the structural dynamics in molten salt-promoted MgO-based CO2 sorbents and their role in the CO2 uptake. Open data access
<p><strong>Open data for publication "Deciphering the structural dynamics in molten salt-promoted MgO-based CO<sub>2</sub> sorbents and their role in the CO<sub>2</sub> uptake" </strong></p>
Open Science resources by research discipline
<p>This is the underlying data set to our map of Open Science resources by discipline: <a href="https://kumu.io/access2perspectives/open-science#disciplines">https://kumu.io/access2perspectives/open-science#disciplines</a></p> <p>For context and related resources please refer to <a href="https://access2perspectives.pubpub.org/open-science">https://access2perspectives.pubpub.org/open-science</a></p> <p>Explore the map by clicking on individual nodes and see descriptions, related websites, and other information about the resources.<br> With the navigation buttons to the right, you can zoom in and out, and select and focus on specific elements.</p> <p>Learn more about our work at <a href="http://access2perspectives.org">access2perspectives.org</a><br> If you have comments, questions or suggestions for improvements on this map email us at info@access2perspectives.org.</p> <p>LICENSE: <strong>Creative Commons <a href="https://creativecommons.org/licenses/by-sa/4.0/">Attribution-ShareAlike 4.0 International</a></strong></p>
Open data for "3D integration enables ultra-low-noise isolator-free lasers in Si photonics"
<p>Open data for "3D integration enables ultra-low-noise isolator-free lasers in Si photonics"</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.