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747 results for “Open Data”
ANAC Open Data (2007 - 2023)
<p>Autorità Nazionale AntiCorruzione (ANAC) Open Data Catalogue (https://dati.anticorruzione.it/opendata).</p>
Data underlying research paper "Exploring potential contributions of open data intermediaries"
<p>This folder contains data underlying the research paper “Exploring the Contributions of Open Data Intermediaries for a Sustainable Open Data Ecosystem”. The research is about open data ecosystem and the role of open data intermediaries. <strong>The folder consists of 4 items</strong>:</p> <p>1. Tentative interview questions (.pdf and .odt formats)</p> <p>2. Informed consent form template (for verbal interview & written interview) (.pdf and .odt formats)</p> <p>3. De-identified interview transcripts (.pdf and .odt formats)</p> <p>4. Coding results (.pdf and .ods formats)</p> <p> </p> <p><strong>Note about the tentative interview questions:</strong></p> <p>The interviews were conducted between May and July 2023 based on the semi-structured approach. We customise the tentative interview questions accordingly for each interview and share them with the interviewees in advance (for the majority, at least three working days in advance). As semi-structured interviews, the ultimate interview questions may differ from the tentative questions based on the information provided by the interviewees and time constraints (refer to item #3).</p> <p> </p> <p><strong>Note about the informed consent form:</strong></p> <p>We sent the informed consent form to every interviewee in advance and requested them to return it to us before the interview. The consent form has been reviewed by TU Delft's Human Research Ethics Committee (HREC).</p> <p> </p> <p><strong>Note about the de-identified interview transcripts (and coding results):</strong></p> <p><u>The de-identified interview transcripts should be read in the context of the research on open data ecosystem and the role of open data intermediaries.</u> We removed personally identifiable information from the transcripts. A few interviewees may risk being identifiable if their organisation is known. Hence, we removed the identification of the organisation and country in all transcripts. Partially disclosing the organisation or country for some transcripts increases the risks of identifying the non-disclosed transcripts. With verbal communication, some sentences may be less incomprehensible in writing. Thus, we did minimal edits when transcribing to improve the comprehensibility where necessary, but the main objective was to keep the transcript as close to verbatim as possible. All interviewees whose interview transcripts are recorded in this document give permission for the anonymised transcript of their interview, with personally identifiable information redacted, to be shared in 4TU.ResearchData repository so it can be used for future research and learning.</p> <p> </p> <p><strong>Acknowledgement:</strong></p> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. The opinions expressed in this document reflect only the author’s view and in no way reflect the European Commission’s opinions. The European Commission is not responsible for any use that may be made of the information it contains.</p>
Fostering Sustainability and Citizen Empowerment through Open Manufacturing_anonymous data
Open the record for dataset details and reuse information.
Data from "SynBot: An open-source image analysis software for automated quantification of synapses"
<p>Primary image datasets and associated tables from the paper "SynBot: An open-source image analysis software for automated quantification of synapses". </p>
Supplementary Data: Code, Input Data and Model data: PyPSA-Eur: An Open Optimisation Model of the European Transmission System
<p>Supplementary Data (preliminary version)</p> <p>PyPSA-Eur: An Open Optimisation Model of the European Transmission System</p> <p>Authors: J. Hörsch, F. Hofmann, D. Schlachtberger, T. Brown</p> <p>and</p> <p>The role of spatial scale in joint optimisations of generation and transmission for European highly renewable scenarios</p> <p>Authors: J. Hörsch, T. Brown</p> <p>The files in this record contain the scripts to build a <a href="http://pypsa.org/">PyPSA</a> model of the European Electricity System including renewable feed-in from wind, solar and hydro installations derived from reanalysis weather data satellite irradiation. The model PyPSA-Eur is described in the above publication.</p> <p><strong>Scripts</strong></p> <p>To use the scripts, you need the following free software Python libraries:</p> <ul> <li><a href="https://github.com/PyPSA/PyPSA">PyPSA</a> for the modelling framework</li> <li><a href="https://github.com/FRESNA/vresutils">vresutils</a> for various helper functions to build the model instance</li> <li><a href="https://github.com/FRESNA/atlite">atlite</a> to process weather data into power system data</li> <li><a href="https://snakemake.readthedocs.io/en/latest/">snakemake</a> to organise the execution of the software</li> </ul> <p>and other standard libraries from the <a href="https://pypi.python.org/pypi">Python Package Index</a> (PyPI), such as pandas, pyomo, countrycode, etc.</p> <p>snakemake requires that all code runs with Python version 3. The code setup is known to work with the following versions: PyPSA 0.12.0, pandas 0.21.1, numpy 0.14.0, scipy 0.19.1, pyomo 5.2. You may need to downgrade your libraries to these versions for the scripts to work.</p> <p>The Python scripts in this repository (in the directory scripts/) are released under the <a href="https://www.gnu.org/licenses/gpl-3.0.en.html">GNU General Public Licence Version 3.0</a> (GPL 3.0).</p> <p>The scripts build_*.py process all raw input data into a form where it can be used in the model.</p> <p>base_network.py creates the initial PyPSA network topology.</p> <p>add_electricity.py adds generators and storage units to the models, it generates the detailed resolved model described in the PyPSA-Eur paper.</p> <p>simplify_network.py removes stub ac-buses from network topology and simplifies long dc lines.</p> <p>cluster_network.py creates clustered representations of the electricity network for a given number of buses following the topology described in the "spatial scale" paper.</p> <p>prepare_network.py adds parameters like the CO2 limit and the transmission expansion volume relevant for the optimization to the model.</p> <p>All scripts are managed with the <a href="http://snakemake.readthedocs.io/en/latest/">snakemake</a> workflow management tool.</p> <p>To run the scripts, adjust the parameters in config.yaml and cluster.yaml to your local configuration. Then simply execute</p> <pre><code>snakemake</code></pre> <p>for the rule you want to run.</p> <p><strong>Data</strong></p> <p>The input data include:</p> <ul> <li>Electricity sector data</li> <li>Topology derived from the analysis of an extract of the <a href="https://www.entsoe.eu/data/map/">ENTSO-E online map</a> using <a href="https://github.com/bdw/GridKit">GridKit</a> .</li> <li>A cost database with literature sources.</li> </ul> <p> </p>
Figure 2 from: Erwin T, Stoev P, Penev L (2018) ZooKeys anniversary: 10 years of leadership toward open-access publishing of zoological data and establishment at Pensoft of like-minded sister journals across the biodiversity spectrum. ZooKeys 770: 1-8. https://doi.org/10.3897/zookeys.770.28105
Figure 2 New taxa published in ZooKeys, registered in ZooBank (courtesy of Richard Pyle; *until 27.6.2018).
Figure 1 from: Erwin T, Stoev P, Penev L (2018) ZooKeys anniversary: 10 years of leadership toward open-access publishing of zoological data and establishment at Pensoft of like-minded sister journals across the biodiversity spectrum. ZooKeys 770: 1-8. https://doi.org/10.3897/zookeys.770.28105
Figure 1 Growth of submitted manuscripts and published articles in ZooKeys from 2008 to 2018 (*until 27.6.2018).
Figure 3 from: Erwin T, Stoev P, Penev L (2018) ZooKeys anniversary: 10 years of leadership toward open-access publishing of zoological data and establishment at Pensoft of like-minded sister journals across the biodiversity spectrum. ZooKeys 770: 1-8. https://doi.org/10.3897/zookeys.770.28105
Figure 3 Total number of ZooKeys mentions in social media and popular magazines (Altmetric, June 2018).
Open Data and Climate Change Resilience for US cities
<p>Open Data and Climate Change Resilience data in US cities, with 50 cities and 20 states.</p>
Data on openness level of digital services trade
Open the record for dataset details and reuse information.
Poster_YouTube_as_Source_of_Open_Data_for_Traffic_Safety_Research
Open the record for dataset details and reuse information.
Open Data The Need of TNR
Open the record for dataset details and reuse information.
Data from: Can recombinant human thrombomodulin increase survival among patients with severe septic-induced disseminated intravascular coagulation: a single-centre, open-label, randomised controlled trial
Objective: To determine whether treatment with recombinant human thrombomodulin (rhTM) increases survival among severe septic patients with sepsis-induced disseminated intravascular coagulation (DIC) Design: Single-center, open-label, randomized controlled trial Setting: Single tertiary hospital Participant: 92 severe septic patients with sepsis-induced DIC Interventions: Patients with DIC scores ≥4, as defined by the Japanese Association of Acute Medicine, were diagnosed with DIC. Randomization was performed by the envelope method. The treatment group (rhTM group, n = 47) was intravenously treated with rhTM within 24 h of admission (day 0), and the control group (n = 45) did not receive any anti-coagulants, except in cases of deep venous thrombosis and pulmonary embolism. Primary and secondary measurements: Data were collected on days 0 (admission), 1, 2, 3, 5, 7, and 10. The primary outcome was survival at 28 and 90 days. The secondary endpoints comprised changes in DIC scores, platelet counts, D-dimer, antithrombin III (ATIII), and C-reactive protein (CRP) levels, and Sequential Organ Failure Assessment (SOFA) scores. All analyses were conducted on an intent-to-treat basis. Main Results: The 28-day survival rates were 84 and 83% in the control and rhTM groups, respectively (p = 0.745, log rank test). The 90-day survival rates were 73% and 72% in the control and rhTM groups, respectively (p = 0.94, log rank test). Meanwhile, the rates of recovery from DIC (<4) were significantly higher in the rhTM group than in the control group (p = 0.001, log rank test). Relative change from baseline of D-dimer levels were significantly lower in the rhTM group than in the control group, on day 3 and 5. Conclusion: rhTM treatment decreased D-dimer levels and facilitated DIC recovery in severe septic patients with sepsis-induced DIC. However, the treatment did not improve survival in this cohort.
VAMONOS - Open-channel flow over weirs. Experimental data.
<p>This dataset contains the results from the experimental tests carried out at the hydraulics laboratory of the Civil Engineering School, at University of A Coruña (Spain), as part of the VAMONOS (Vertically-averaged models for non-hydrostatic flows) project (CTM2017-85171-C2-2-R). The aim of the project is the development of enhanced 2D river flow models including additional terms to account for non-hydrostatic pressure and mixed flow conditions around hydraulic structures.</p> <p>This data package includes experimental results on 9 different weir geometries that were tested in an open channel. The experimental facility consists of a 15 m flume with a square cross section of 0.5 x 0.5 m. Water depths were measured with an automatic data acquisition system on a grid of approximately 125 points. Each weir was tested under two different flow conditions. In all the tests the inlet discharge was close to 30 l/s, while the downstream water level was varied from one test to another, in order to obtain fully submerged and free discharge conditions.</p> <p>This dataset is structured in two pdf documents and three folders:</p> <ul> <li><em>Summary_tests.pdf</em>. This file summarizes all the experimental tests. </li> <li><em>Data_package_description.pdf</em>. This document includes information about the experimental facilities, the test conditions and the uploaded files.</li> <li><em>Raw_data.</em> This folder includes the raw data recorded during the tests.</li> <li><em>Matlab_files. </em>This folder contains three Matlab files (.m) that can be used to process the raw data and to generate some figures.</li> <li><em>Processed_data. </em>This folder contains three documents per weir that include the results obtained after processing the raw data. For each test, it is possible to find a pdf with the weir geometry and a text file with the results of the submerged and free discharge tests.</li> </ul> <p><strong>Those interested in experimental data for the calibration of numerical models or the analysis of empirical discharge rating curves, are suggested to work only with the data included in the folder <em>Processed_data.</em></strong></p> <p>Further details on the experimental setup are given in the document <em>Data_package_description.pdf</em></p>
Assessing the Nature of Chiral-Induced Spin Selectivity by Magnetic Resonance. Open data set
<p>Data supporting the original figures 2,3,4 of the related publication.</p>
A proposal for using molecular spin qudits as quantum simulators of light–matter interactions. Open data set
<p>Data supporting the original figures 2,3 of the related publication.</p>
Counteracting dephasing in Molecular Nanomagnets by optimized qudit encodings. Open data set
<p>Data supporting the original figures 1, 2, 3, 4, 5, 7 of the related publication.</p>
(re)Use Indications of High Energy Physics related Research Data and Software in CERN Open Data Portal
<p>This dataset contains High Energy Physics related research data and software (re)use indications (formal citations, informal mentions) in scholarly works. All research data and software resources were identified and extracted from CERN Open Data Portal. The (re)use indications were identified by a mix of approaches: use of citation discovery services and multiple search approaches in Google Scholar. All identified research data and software (re)use indications were classified according to their purpose, location, and elements.</p> <p>The data was collected in 2018 for a PhD thesis on research data and software (re)use indications in scholarly works.</p>
Simulating Static and Dynamic Properties of Magnetic Molecules with Prototype Quantum Computers. Open data set
<p>Data supporting the original figures 1, 2, 3, 4, 5 of the related publication.</p>
A Cost-Effective Semi-Ab Initio Approach to Model Relaxation in Rare-Earth Single-Molecule Magnets. Open data set
<p>Data supporting the original figures 2 and 3 of the related publication.</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.