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Figure 7. A in Building capacity to implement conservation breeding programs for frogs in Madagascar: Results from year one of Mitsinjo's amphibian husbandry research and captive breeding facility
Figure 7. A) Fruit fly cultures on shelves at the facility. B) Fruit flies are cultured in discarded plastic water bottles collected in Andasibe. Fabric is secured in place, over the top with rubber bands, and strips of plastic bag are placed inside (above the media) on which the flies can deposit eggs.
Power Plant Siting Results for GODEEEP
<h3>Introduction</h3> <p>This dataset contains power plant infrastructure siting information modeled by the Capacity Expansion Regional Feasibility (<a href="https://github.com/IMMM-SFA/cerf" target="_blank" rel="noopener">CERF</a>) model for the <a href="https://godeeep.pnnl.gov/">GODEEEP</a> project for the purpose of studying power plant landscape evolution under alternative capacity expansion scenarios. </p> <p>CERF is an open-source geospatial Python package for evaluating and analyzing future electricity technology capacity expansion feasibility.</p> <p>Summaries of each of the two siting scenarios included are provided below. For additional information, see <a href="https://doi.org/10.1016/j.egycc.2023.100117">Ou et al. 2023</a>and the <a href="https://godeeep.pnnl.gov/">GODEEEP website</a>.</p> <h3>Scenario Descriptions</h3> <ul> <li><strong>business_as_usual_ira_ccs_climat</strong>e : <ul> <li>This scenario does not include any long-term federal policies requiring decarbonization.</li> <li>It does include the US Inflation Reduction Act (IRA) incentives.</li> <li>It assumes that CCS technologies are available.</li> </ul> </li> <li><strong>net_zero_ira_ccs_climate</strong>: <ul> <li>This scenario includes a clean electricity grid in the U.S. by 2035 and a net-zero economy by 2050.</li> <li>It does include US IRA incentives.</li> <li>It assumes that CCS technologies are available.</li> </ul> </li> </ul> <h3>Climate and Socioeconomic Assumptions</h3> <ul> <li><strong>Climate:</strong> These scenarios include the dynamic effects of a climate pathway (<a href="https://www.nature.com/articles/s41597-023-02485-5">RCP8.5</a>) on heating and cooling degree days (HDD/CDD) in the period 2020-2050. </li> <li><strong>Socioeconomic</strong>: <a href="https://doi.org/10.1016/j.gloenvcha.2015.01.004">Shared Socioeconomic Pathway 2</a>. A "middle of the road" socioeconomic pathway where population and economic growth trends follow historical patterns.</li> </ul> <h3>Data Information</h3> <ul> <li>Coordinates provided in each of the data files follows the NAD 1983 Albers contiguous USA Coordinate Reference System (ESRI:102003).</li> <li>New infrastructure sitings are provided for the 11 states in the Western Interconnection including: Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Utah, Oregon, Washington, and Wyoming.</li> <li>The file type represents a specific spatial resolution of infrastructure sitings: <ul> <li> 1 km level data: <br> <ul> <li>Includes new power plant sitings by year at a 1 km-squared resolution.</li> <li>For technologies where a representative power plant facility can be sited within the area of a single square km (e.g., natural gas, biomass), coordinates provided at this resolution are representative of the entire plant location where the facility is sited. </li> <li>For Solar PV, Solar CSP, Onshore Wind, and Offshore Wind technologies, representative power plants (i.e., farms) are typically larger than a single square km. Therefore, coordinates provided at the 1 km-squared resolution in this file represent the total capacity (MW) of these technologies that was sited within a 1 km x 1km grid cell and does not represent a standalone wind or solar farm facility or an individual wind turbine.</li> </ul> </li> <li>Plant-level data <ul> <li>This file type includes all power plant locations at the plant level including both new additions and pre-existing facilities.</li> <li>Coordinates in this file represent the center of a power plant facility.</li> <li>For CERF-sited technologies where a representative power plant facility can be sited within the area of a single square km (e.g., natural gas, biomass), coordinates will match those provided in the CERF siting output file.</li> <li>For coodinates associated with CERF-sited Solar PV, Solar CSP, Onshore Wind, and Offshore Wind farms, the center coordinates of the farm are provided. Farms in this file are spatially-clustered aggregates of individual 1 km-squared solar and wind sitings from the CERF-siting output.</li> </ul> </li> </ul> </li> </ul> <h3>File Descriptions</h3> <table> <tbody> <tr> <td><strong>File Name</strong></td> <td><strong>File Type</strong></td> <td><strong>Scenario</strong></td> </tr> <tr> <td>power_plant_additions_1km_bau.csv</td> <td>1 km data</td> <td> <p>business_as_usual_ira_ccs_climate</p> </td> </tr> <tr> <td>power_plants_bau.csv</td> <td>Plant-level data</td> <td>business_as_usual_ira_ccs_climate</td> </tr> <tr> <td>power_plant_additions_1km_net_zero.csv</td> <td>1 km data</td> <td>net_zero_ira_ccs_climate</td> </tr> <tr> <td>power_plants_net_zero.csv</td> <td>Plant-level data</td> <td>net_zero_ira_ccs_climate</td> </tr> </tbody> </table> <h3>Data Descriptions</h3> <table> <tbody> <tr> <td><strong>Column Name</strong></td> <td><strong>Data Description</strong></td> <td><strong>Units</strong></td> </tr> <tr> <td>scenario</td> <td>Name of scenario</td> <td>N/A</td> </tr> <tr> <td>region_name</td> <td>US state name</td> <td>N/A</td> </tr> <tr> <td>tech_id</td> <td>Unique technology identifier</td> <td>N/A</td> </tr> <tr> <td>technology</td> <td>Type of generation technology with detailed information on cooling type, turbine type, hub-height, and carbon capture (as applicable)</td> <td>N/A</td> </tr> <tr> <td>technology_simple</td> <td>Type of generation technology with no additional detailed information</td> <td>N/A</td> </tr> <tr> <td>unit_size_mw</td> <td>Rated power plant capacity </td> <td>Megawatts (MW)</td> </tr> <tr> <td>xcoord</td> <td>x coordinate of siting location</td> <td>N/A</td> </tr> <tr> <td>ycoord</td> <td>y coordinate of siting location</td> <td>N/A</td> </tr> <tr> <td>buffer_in_km</td> <td>Buffer applied to siting location in CERF</td> <td>kilometers (km)</td> </tr> <tr> <td>sited_year</td> <td>Year power plant was sited</td> <td>N/A</td> </tr> <tr> <td>retirement_year</td> <td>Year power plant was retired</td> <td>N/A</td> </tr> <tr> <td>lifetime_yrs</td> <td>Technology lifetime</td> <td>Years</td> </tr> <tr> <td>operational_life_yrs</td> <td>Years technology operated for</td> <td>Years</td> </tr> <tr> <td>locational_marginal_price_usd_per_mwh</td> <td>Locational marginal price of energy</td> <td>USD/Megawatt-hour (MWh)</td> </tr> <tr> <td>generation_mwh_per_year</td> <td>Annual generation </td> <td>MWh</td> </tr> <tr> <td>capacity_factor_fraction</td> <td>Capacity factor</td> <td>Fraction</td> </tr> <tr> <td>carbon_capture_rate_fraction</td> <td>Rate of carbon capture </td> <td>Fraction</td> </tr> <tr> <td>fuel_price_usd_per_mmbtu</td> <td>Fuel price</td> <td>USD/million British thermal units</td> </tr> <tr> <td>heat_rate_btu_per_kWh</td> <td>Heat rate</td> <td>British thermal units/kilowatt-hour</td> </tr> <tr> <td>variable_om_usd_per_mwh</td> <td>Variable operations and maintenance cost</td> <td>USD/MWh</td> </tr> <tr> <td>cerf_sited</td> <td>Binary variable indicating whether the power plant was sited by CERF (value=1) or a pre-existing power plant (value=0)</td> <td>N/A</td> </tr> </tbody> </table> <h3> </h3> <h3>Acknowledgement</h3> <p>This research was supported by the Grid Operations, Decarbonization, Environmental and Energy Equity Platform (GODEEEP) Investment, under the Laboratory Directed Research and Development (LDRD) Program at Pacific Northwest National Laboratory (PNNL).</p> <p>PNNL is a multi-program national laboratory operated for the U.S. Department of Energy (DOE) by Battelle Memorial Institute under Contract No. DE-AC05-76RL01830.</p>
MSCA SHINE_Project: Numerical results of the soldification-melting of a Si-based alloy (Ultra-high temperature storage)
<p>Project 101145914 — SHINE has received funding withing the MSCA framework. The purpose of this project is to construct a generic model describing the solidification-melting process of ultra-high temperature latent heat thermal energy storage systems based on data-driven analysis and rigorous CFD models. Within the initial steps of the project a preliminary database is being created based on available results from previous UPM’s projects (Thermobat Project) as well as preliminary simulations by using a 2D CFD model. The present dataset contains information of FeSiB alloy solidification-melting close to 1250 oC inside a cylindrical container, under various heating conditions. Analysis of the present data can be also found in the manuscript entitled as ¨Numerical analysis on the state of charge of an ultra-high temperature latent heat energy storage system, SoraPaces, Rome, 2024¨</p>
Map sheet 25-132 Lipník n. B. - Results of soil chemical analyses and pH of soil leachate
<p>Results of soil chemical analyses and pH of soil leachate from the 25-132 Lipník nad Bečvou map sheet</p>
Quantitative results of the analysis of human bioengineered tissues corresponding to the work "Generation of tissue-like models of human bilayered tissues functionalized with olive oil components"
<p>This file contains the raw dataset generated in the work entitled "GENERATION OF NOVEL TISSUE-LIKE MODELS OF HUMAN BILAYERED TISSUES FUNCTIONALIZED WITH BIOACTIVE COMPONENTS OBTAINED FROM OLIVE OIL". These results correspond to the quantification of the histological results obtained in this work.</p>
Marine microfossil data guidelines survey results
<p>Results from a community survey among marine micropalaeontologists to develop guidelines to improve the reusability of marine microfossil assemblage datasets. This record contains a pdf of the survey questions (<a href="../api/records/12722701/draft/files/MiPaDataGuidelines_Google_Forms.pdf/content" target="_blank" rel="noopener noreferrer">MiPaDataGuidelines_Google_Forms.pdf</a>); anonymised survey responses (<a href="../api/records/12722701/draft/files/MiPaSurveyResponses.csv/content" target="_blank" rel="noopener noreferrer">MiPaSurveyResponses.csv</a>) and an overview of how the results were grouped (<a href="../api/records/12722701/draft/files/QuestionGrouping.csv/content" target="_blank" rel="noopener noreferrer">QuestionGrouping.csv</a>). In addition, <a href="../api/records/12722701/draft/files/StatusLegacyData.csv/content" target="_blank" rel="noopener noreferrer">StatusLegacyData.csv</a> presents the results of a first order analysis of how well datasets stored at PANGAEA.de conform to the guidelines derived from the survey response.</p> <p>This record forms the basis of a manuscript in prep titled "Community guidelines to increase the reusability of marine microfossil assemblage data" that will be submitted to the <a href="https://www.journal-of-micropalaeontology.net/home.html">Journal of Micropalaeontology</a>. A full description of the survey methods is provided there. Code used to analyse the results is provided in the associated script.</p>
Files for the numerical results shown in "Far-from-equilibrium travelling pulses in sloped semi-arid environments driven by autotoxicity effects" by Gabriele Grifò, Annalisa Iuorio, and Frits Veerman
<p>This folder contains the code used to produce Fig. 1 and Fig. 8-10 in the paper: "Far-from-equilibrium travelling pulses in sloped semi-arid environments driven by autotoxicity effects" by Gabriele Grifò, Annalisa Iuorio, and Frits Veerman. The preprint version of this paper is available at <a href="https://arxiv.org/abs/2405.1560">https://arxiv.org/abs/2405.1560</a>.</p> <p>In the subfolder "Direct_simulations", the code (to obtain Fig. 1) is based on a MATLAB routine which uses finite differences for spatial discretization with periodic boundary conditions together with MATLAB’s ode15s routine for time integration.</p> <p>The continuation procedure (to obtain Fig. 8-10) is shown in the subfolder "Continuation" based on the software AUTO to analyse the dependence of the constructed travelling pulse solutions of Eq. (3.2) with respect to three system parameters, i.e. A, D, and H. Correspondingly, in each folder 'Continuation_X' where X=A, D, H, the results can be obtained by running the file 'AUTO_script_cont_X', based on the two files 'parab_X.f90' and 'c.parab_X'.</p> <p>Selected solutions for each continuation are stored in the corresponding subfolders 'solutions_X', whereas the tables resulting from the continuation procedure in the scripts are shown in the files 'bifdiag_X.dat'. In each script file further details are provided in order to clarify how to extract the solutions used for the plots.</p>
Research results: Analytiska lösningar för grundvattenflöde i sprickigt berg
<p>Research results, data and software, for the Ph.D. project "Analytiska lösningar för grundvattenflöde i sprickigt berg".</p> <p>Doctoral dissertation:</p> <p>Toller, E. A. L. (2023). <em>Analytic Element Models for Groundwater Flow and Linear Elasticity in Fractured Rocks</em> (Doctoral dissertation, Acta Universitatis Upsaliensis).</p> <p>Please refer to the doctoral dissertation when citing the data.</p> <p>The results are published on behalf of Trafikverket (The Swedish Transport Administration).</p>
OWL reasoner evaluation results - mobile and edge
<p>Results of an evaluation campaign concerning OWL ontology classification on mobile and edge devices.</p> <p>Experiments were conducted using the evOWLuator framework.</p> <h2>Mobile</h2> <p><strong>Device:</strong> Samsung Galaxy Tab S6 Lite</p> <p><strong>Dataset:</strong> <a href="https://doi.org/10.5281/zenodo.10791">ORE 2014 competition corpus</a> (full dataset)</p> <p><strong>Reasoners:</strong></p> <ul> <li><a href="http://www.hermit-reasoner.com">HermiT</a> (v1.3.8)</li> <li><a href="https://github.com/stardog-union/pellet">Pellet</a> (v2.3.1)</li> <li><a href="https://jfact.sourceforge.net">JFact</a> (v1.2.1)</li> <li><a href="https://github.com/TrOWL/core">TrOWL</a> (v1.5)</li> <li><a href="https://github.com/liveontologies/elk-reasoner">ELK</a> (v0.4.3)</li> <li><a href="http://julianmendez.github.io/jcel">jcel</a> (v0.24.1)</li> </ul> <p><strong>Metrics</strong></p> <ul> <li>Correctness</li> <li>Parsing and reasoning time</li> <li>Peak memory usage</li> </ul> <h2>Edge</h2> <p><strong>Device:</strong> Raspberry Pi 4 Model B+</p> <p><strong>Dataset:</strong> <a href="https://doi.org/10.5281/zenodo.10791">ORE 2014 competition corpus</a> (subset)</p> <p><strong>Reasoners:</strong></p> <ul> <li><a href="https://www.derivo.de/products/konclude">Konclude</a> (v0.7.0)</li> <li><a href="https://github.com/TrOWL/core">TrOWL</a> (v1.5)</li> <li><a href="http://owl.cs.manchester.ac.uk/tools/fact">FaCT++</a> (v1.6.3.1)</li> </ul> <p><strong>Metrics:</strong></p> <ul> <li>Correctness</li> <li>Parsing and reasoning time</li> <li>Peak memory usage</li> <li>Energy usage (<a href="https://github.com/fenrus75/powertop">PowerTOP</a>)</li> <li>Energy usage (<a href="https://www.msoon.com/high-voltage-power-monitor">Monsoon High Voltage Power Monitor</a>)</li> </ul>
WOGAN Experimental Results
<p>A CSV file that contains all data necessary to rebuild the figures and tables of the paper "Learning test generators for cyber-physical systems".</p>
RSYD-BASIC results for AMR benchmarking dataset subset (MiSeq data)
<p><strong>Input data:</strong></p> <ul> <li>20240905_test_config.yaml: original config file used to run the pipeline</li> <li>20241004_rsyd_largeset_reads.zip: renamed Illumina MiSeq reads</li> <li>20241011-sample-overview.xlsx: overview of SRR accession numbers to internal sample numbers</li> <li>ILM_Run0001_Y20240904_kts_new.xlsx: runsheet </li> <li>input_en.yaml: column name configuration for the run</li> <li>lis_data.zip: LIS report and bacteria list used for LIS-specific results</li> </ul> <p><strong>Expected results:</strong></p> <ul> <li>20240910_test_illumina_largeset.zip: Results of the RSYD-BASIC pipeline, version 1.15.1, with the reads used</li> </ul>
Ocean model simulations in cold-water coral ecosystems off the coasts of Angola and Namibia in the Southeast Atlantic: Setup, boundary conditions and model results.
<p>The dataset contains all essential data for the setup of high-resolution local area model implementations using the ROMS-AGRIF model version 3.1 in two cold-water coral regions off the coasts of Angola and Namibia in the Southeast Atlantic. The data include computational grids, initialization fields (temperature, salinity), and boundary conditions (temperature, salinity, currents, and sea surface height) for each model area. It also includes model output, which has been used in different studies of the local oceanography of the region .</p> <p>Initialization, forcing and output data for each ROMS-AGRIF model implementation are provided in two compressed archive data files:</p> <ul> <li>Angola Margin: Angola_Model_Setup1.7z</li> <li>Namibia Margin: Namibia_Model_Setup1.7z</li> </ul> <p>The data set description is provided in the file:</p> <ul> <li>DataSet_Description_Angola_Namibia_Model.pdf</li> </ul> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div>
RNA phenotypes, xQTLs, xTWAS weights, and xTWAS results for Geuvadis and GTEx using Pantry
<div> <div> <p>This repository contains RNA phenotyping genetic analysis results for 55 human tissue datasets using Pantry. It includes RNA phenotypes, covariates, cis-QTL results from tensorQTL, and weights and associations for multimodal transcriptome-wide association study (xTWAS) results using FUSION, for six RNA modalities, for Geuvadis and 54 GTEx tissues. The xTWAS data covers 114 traits using GWAS data from <a href="https://doi.org/10.5281/zenodo.3629742" target="_blank" rel="noopener">Publicly available GWAS summary statistics, harmonized and imputed to GTEx v8' variant reference</a>. For more information, see the publication "Multimodal analysis of RNA sequencing data powers discovery of complex trait genetics".</p> </div> </div>
Deliverable 1.1.1.1 BEL-Float project | Dataset containing the results of numerical simulations (motions, forces) of the operational performance analysis - Part 1: Operational scenario with 6.0 m significant wave height
<p>This dataset contains the results of OpenFAST simulations performed on the DeepCwind OC4 semi-submersible combined with the 5MW NREL turbine for various wind and wave conditions. The basis of the OpenFAST input files are taken from <a href="https://github.com/OpenFAST/r-test/tree/main/glue-codes/openfast/5MW_OC4Semi_WSt_WavesWN">OpenFAST r-test GitHub repository (5MW_OC4Semi_WSt_WavesWN)</a> and adapted to simulate various wind and wave conditions. The turbulent wind field as the input to the InflowWind module is generated using <a href="https://www.nrel.gov/wind/nwtc/turbsim.html">TurbSim</a>. The simulations are performed on a modified version of OpenFAST v3.5.3 to which adaptation to the code is made to extract additional Morison drag output up to 16 cylindrical members. This adapted code is <a href="https://github.com/abkpribadi/openfast/tree/Morison_additional_output">uploaded on GitHub as a branch from a forked OpenFAST repository</a>. In total there are 1152 simulation results consists of 768 irregular waves and 384 regular waves cases. The complete dataset is divided into 9 sub-datasets to which this is part number 1. A report describing this dataset is available on the BEL-Float project website: https://www.owi-lab.be/bel-float.</p> <p> </p> <p> </p> <p> </p>
Deliverable 1.1.1.1 BEL-Float project | Dataset containing the results of numerical simulations (motions, forces) of the operational performance analysis - Part 2: Operational scenario with 4.5 m significant wave height
<p>This dataset contains the results of OpenFAST simulations performed on the DeepCwind OC4 semi-submersible combined with the 5MW NREL turbine for various wind and wave conditions. The basis of the OpenFAST input files are taken from <a href="https://github.com/OpenFAST/r-test/tree/main/glue-codes/openfast/5MW_OC4Semi_WSt_WavesWN">OpenFAST r-test GitHub repository (5MW_OC4Semi_WSt_WavesWN)</a> and adapted to simulate various wind and wave conditions. The turbulent wind field as the input to the InflowWind module is generated using <a href="https://www.nrel.gov/wind/nwtc/turbsim.html">TurbSim</a>. The simulations are performed on a modified version of OpenFAST v3.5.3 to which adaptation to the code is made to extract additional Morison drag output up to 16 cylindrical members. This adapted code is <a href="https://github.com/abkpribadi/openfast/tree/Morison_additional_output">uploaded on GitHub as a branch from a forked OpenFAST repository</a>. In total there are 1152 simulation results consists of 768 irregular waves and 384 regular waves cases. The complete dataset is divided into 9 sub-datasets to which this is part number 2. A report describing this dataset is available on the BEL-Float project website: https://www.owi-lab.be/bel-float.</p>
Deliverable 1.1.1.1 BEL-Float project | Dataset containing the results of numerical simulations (motions, forces) of the operational performance analysis - Part 8: Damaged scenario with 1.5 m significant wave height
<p>This dataset contains the results of OpenFAST simulations performed on the DeepCwind OC4 semi-submersible combined with the 5MW NREL turbine for various wind and wave conditions. The basis of the OpenFAST input files are taken from <a href="https://github.com/OpenFAST/r-test/tree/main/glue-codes/openfast/5MW_OC4Semi_WSt_WavesWN">OpenFAST r-test GitHub repository (5MW_OC4Semi_WSt_WavesWN)</a> and adapted to simulate various wind and wave conditions. The turbulent wind field as the input to the InflowWind module is generated using <a href="https://www.nrel.gov/wind/nwtc/turbsim.html">TurbSim</a>. The simulations are performed on a modified version of OpenFAST v3.5.3 to which adaptation to the code is made to extract additional Morison drag output up to 16 cylindrical members. This adapted code is <a href="https://github.com/abkpribadi/openfast/tree/Morison_additional_output">uploaded on GitHub as a branch from a forked OpenFAST repository</a>. In total there are 1152 simulation results consists of 768 irregular waves and 384 regular waves cases. The complete dataset is divided into 9 sub-datasets to which this is part number 8. A report describing this dataset is available on the BEL-Float project website: https://www.owi-lab.be/bel-float.</p>
Deliverable 1.1.1.1 BEL-Float project | Dataset containing the results of numerical simulations (motions, forces) of the operational performance analysis - Part 7: Damaged scenario with 3.0 m significant wave height
<p>This dataset contains the results of OpenFAST simulations performed on the DeepCwind OC4 semi-submersible combined with the 5MW NREL turbine for various wind and wave conditions. The basis of the OpenFAST input files are taken from <a href="https://github.com/OpenFAST/r-test/tree/main/glue-codes/openfast/5MW_OC4Semi_WSt_WavesWN">OpenFAST r-test GitHub repository (5MW_OC4Semi_WSt_WavesWN)</a> and adapted to simulate various wind and wave conditions. The turbulent wind field as the input to the InflowWind module is generated using <a href="https://www.nrel.gov/wind/nwtc/turbsim.html">TurbSim</a>. The simulations are performed on a modified version of OpenFAST v3.5.3 to which adaptation to the code is made to extract additional Morison drag output up to 16 cylindrical members. This adapted code is <a href="https://github.com/abkpribadi/openfast/tree/Morison_additional_output">uploaded on GitHub as a branch from a forked OpenFAST repository</a>. In total there are 1152 simulation results consists of 768 irregular waves and 384 regular waves cases. The complete dataset is divided into 9 sub-datasets to which this is part number 7. A report describing this dataset is available on the BEL-Float project website: https://www.owi-lab.be/bel-float.</p>
Deliverable 1.1.1.1 BEL-Float project | Dataset containing the results of numerical simulations (motions, forces) of the operational performance analysis - Part 5: Damaged scenario with 6.0 m significant wave height
<p>This dataset contains the results of OpenFAST simulations performed on the DeepCwind OC4 semi-submersible combined with the 5MW NREL turbine for various wind and wave conditions. The basis of the OpenFAST input files are taken from <a href="https://github.com/OpenFAST/r-test/tree/main/glue-codes/openfast/5MW_OC4Semi_WSt_WavesWN">OpenFAST r-test GitHub repository (5MW_OC4Semi_WSt_WavesWN)</a> and adapted to simulate various wind and wave conditions. The turbulent wind field as the input to the InflowWind module is generated using <a href="https://www.nrel.gov/wind/nwtc/turbsim.html">TurbSim</a>. The simulations are performed on a modified version of OpenFAST v3.5.3 to which adaptation to the code is made to extract additional Morison drag output up to 16 cylindrical members. This adapted code is <a href="https://github.com/abkpribadi/openfast/tree/Morison_additional_output">uploaded on GitHub as a branch from a forked OpenFAST repository</a>. In total there are 1152 simulation results consists of 768 irregular waves and 384 regular waves cases. The complete dataset is divided into 9 sub-datasets to which this is part number 5. A report describing this dataset is available on the BEL-Float project website: https://www.owi-lab.be/bel-float.</p>
Deliverable 1.1.1.1 BEL-Float project | Dataset containing the results of numerical simulations (motions, forces) of the operational performance analysis - Part 6: Damaged scenario with 4.5 m significant wave height
<p>This dataset contains the results of OpenFAST simulations performed on the DeepCwind OC4 semi-submersible combined with the 5MW NREL turbine for various wind and wave conditions. The basis of the OpenFAST input files are taken from <a href="https://github.com/OpenFAST/r-test/tree/main/glue-codes/openfast/5MW_OC4Semi_WSt_WavesWN">OpenFAST r-test GitHub repository (5MW_OC4Semi_WSt_WavesWN)</a> and adapted to simulate various wind and wave conditions. The turbulent wind field as the input to the InflowWind module is generated using <a href="https://www.nrel.gov/wind/nwtc/turbsim.html">TurbSim</a>. The simulations are performed on a modified version of OpenFAST v3.5.3 to which adaptation to the code is made to extract additional Morison drag output up to 16 cylindrical members. This adapted code is <a href="https://github.com/abkpribadi/openfast/tree/Morison_additional_output">uploaded on GitHub as a branch from a forked OpenFAST repository</a>. In total there are 1152 simulation results consists of 768 irregular waves and 384 regular waves cases. The complete dataset is divided into 9 sub-datasets to which this is part number 6. A report describing this dataset is available on the BEL-Float project website: https://www.owi-lab.be/bel-float.</p>
Deliverable 1.1.1.1 BEL-Float project | Dataset containing the results of numerical simulations (motions, forces) of the operational performance analysis - Part 4: Operational scenario with 1.5 m significant wave height
<p>This dataset contains the results of OpenFAST simulations performed on the DeepCwind OC4 semi-submersible combined with the 5MW NREL turbine for various wind and wave conditions. The basis of the OpenFAST input files are taken from <a href="https://github.com/OpenFAST/r-test/tree/main/glue-codes/openfast/5MW_OC4Semi_WSt_WavesWN">OpenFAST r-test GitHub repository (5MW_OC4Semi_WSt_WavesWN)</a> and adapted to simulate various wind and wave conditions. The turbulent wind field as the input to the InflowWind module is generated using <a href="https://www.nrel.gov/wind/nwtc/turbsim.html">TurbSim</a>. The simulations are performed on a modified version of OpenFAST v3.5.3 to which adaptation to the code is made to extract additional Morison drag output up to 16 cylindrical members. This adapted code is <a href="https://github.com/abkpribadi/openfast/tree/Morison_additional_output">uploaded on GitHub as a branch from a forked OpenFAST repository</a>. In total there are 1152 simulation results consists of 768 irregular waves and 384 regular waves cases. The complete dataset is divided into 9 sub-datasets to which this is part number 4. A report describing this dataset is available on the BEL-Float project website: https://www.owi-lab.be/bel-float.</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.