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7,378 results for “case”
Danish case study simulation results (consumption, offered & accepted flexibility, revenues & expenses)
<p>This file contains results of the simulations of the Danish case study generated during Horizon 2020 MAGNITUDE project. The case study considers the provision of domestic hot water from 350 heat pumps installed in multi-storey apartment buildings. Heat pumps receive energy from electrical grid and use heat from ultra-low temperature district heating (ULTDH) as heat source. The overall system is referred to as Multi-Energy System (MES). MES can provide flexibility to either intra-day (ID) market or redispatch (RE) services to local distribution system operator. Results show how much flexibility was offered and activated, and the resulting consumption and production profiles due to that. In addition, the revenues and expenses based on the historical prices for Denmark in 2018 had been calculated.</p>
Supplementary material for "Learning Boolean controls in regulated metabolic networks: a case-study"
<p>This record contains notebooks and Docker image for reproducing the learning of Boolean controls in regulated metabolic networks, and the case study presented in the CMSB 2021 conference proceeding article "Learning Boolean controls in regulated metabolic networks: a case-study".</p> <p>Visualize notebooks online:</p> <ul> <li><a href="https://nbviewer.jupyter.org/urls/zenodo.org/record/5060985/files/CaseStudy-Simulations.ipynb">CaseStudy-Simulations.ipynb</a></li> <li><a href="https://nbviewer.jupyter.org/urls/zenodo.org/record/5060985/files/CaseStudy-SearchSpace.ipynb">CaseStudy-SearchSpace.ipynb</a></li> <li><a href="https://nbviewer.jupyter.org/urls/zenodo.org/record/5060985/files/CaseStudy-Inference.ipynb">CaseStudy-Inference.ipynb</a></li> </ul> <p>Notebooks can be executed interactively within the Docker image <code>bioasp/boolean-caspo-flux:cmsb2021 </code>which extends the <a href="http://colomoto.org/notebook">CoLoMoTo Docker</a> version <code>2021-02-01.</code></p> <p>Alternatively, they can be executed without any installation at <a href="https://mybinder.org/v2/zenodo/10.5281/zenodo.5070151/">https://mybinder.org/v2/zenodo/10.5281/zenodo.5070151/</a>.</p> <p>The Docker image can be executed as follows:</p> <pre><code class="language-bash">docker pull bioasp/boolean-caspo-flux:cmsb2021 docker run -it --rm -p 8888:8888 bioasp/boolean-caspo-flux:cmsb2021 </code></pre> <p>then point your browser to <a href="http://127.0.0.1:8888">http://127.0.0.1:8888</a>.</p> <p>The image can be imported using the command <code>docker load</code> with the image file provided in this record:</p> <pre><code>docker load -i image.tar.gz</code></pre> <p>or with the <code>donodo</code> command available at <a href="https://github.com/pauleve/donodo">https://github.com/pauleve/donodo</a>:</p> <pre><code>pip install -U donodo donodo pull 10.5281/zenodo.5070151</code></pre>
Phenopackets for case reports of structural variants
<p>A collection of 188 published deleterious structural variants based on 182 cases published in 146 clinical case reports that describe individuals with Mendelian diseases.</p>
Location of ground stations, targets and spacecraft for Spire Global case study
<p>Datasets for case study in article:<br> "Data sink selection using consensus leadership: improving target connectivity for a spacecraft constellation"</p>
Replication Package "Applying Test Case Prioritization to Software Microbenchmarks"
<p>Replication package for the paper "Applying Test Case Prioritization to Software Microbenchmarks" accepted for publication in Empirical Software Engineering.</p>
Qualitative dataset - Socially just urban food policy implementation: a case study in Groningen (NL)
<p>This qualitative dataset contains the transcripts of 43 interviews that have been conducted with members of social food initiatives (e.g. community gardens and orchards, food assistance, social restaurants, food education projects, social employment trajectories, fair trade campaigns, and so on) in the city of Groningen, as well as the interview guide and the information sheet and consent form that have been used during data collection. In addition, the upload includes the interview guide, posters, assessment table, information sheet and consent form that have been used in a two-part focus group with 3 food policy coordinators of the municipality of Groningen. The data was collected from November 2019 till March 2020. The transcripts have been analysed in NVivo (qualitative data analysis software).The link to and abstract of the paper based on this dataset will be provided when our manuscript gets published.</p> <p><em>This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 765389. </em></p> <p>Project webpage: <a href="https://recoms.eu/">https://recoms.eu/</a></p>
Desk research of 107 case studies on state-of-the-art of cultural tourism interventions
<p>The aim of Work Package 3 of the SmartCulTour project (<a href="http://www.smartcultour.eu">www.smartcultour.eu</a>) is to provide a state-of-the-art overview of cultural tourism interventions implemented in European cities and regions, thereby identifying best practices and the impacts and success conditions of cultural tourism interventions. To this end, the consortium identified 107 interesting cultural tourism interventions throughout Europe, with a <strong>geographical coverage</strong> of: Belgium (9), Italy (8), The Netherlands (8), Serbia (7), Romania (6), Croatia (5), Hungary (4), Portugal (4), Spain (4), United Kingdom (4), Finland (3), France (3), Sweden (3), Other countries (24), Multiple countries (15). The "Overview and taxonomy of 107 interventions" lists every intervention that was studied, as well as their respective classification given, based on the description and objective of the intervention. Within this table, a value of "1" is its primary categorization, with a value of "2" assigned to a secondary taxonomy. Each intervention can have multiple purposes and therefore belong to different categories.The taxonomy of cultural tourism interventions is further described in "State of the art of cultural tourism interventions" (DOI: 10.5281/zenodo.5270321).</p> <p>The 107 cultural tourism interventions were analyzed via desk research only during the period September 2020-January 2021, based on available secondary data and following a standardized <strong>data collection form</strong>. This form is included here as "Internal data collection form used for analysis". The forms collect data on:</p> <ul> <li>Context and background information;</li> <li>The 'reason why' of the intervention;</li> <li>The intervention;</li> <li>Resources and tools necessary to design and implement the interventions;</li> <li>Impacts (expected, perceived and measured);</li> <li>(Perceived) success conditions and limiting factors.</li> </ul> <p>The zip-file "Internal forms of 107 interventions" contains all 107 completed data collection forms.</p> <p> </p>
Dataset related to article "Molecular Studies and ex vivo Complement assay on Endothelium Highlight the Genetic Complexity of Atypical Hemolytic Uremic Syndrome: The Case of a Pedigree With a Null CD46 Variant".
<p><em>The files contain raw data related to the article "Molecular Studies and ex vivo Complement assay on Endothelium Highlight the Genetic Complexity of Atypical Hemolytic Uremic Syndrome: The Case of a Pedigree With a Null CD46 Variant", available from <a href="https://www.frontiersin.org/articles/10.3389/fmed.2020.579418/full">https://www.frontiersin.org/articles/10.3389/fmed.2020.579418/ful</a>l.</em></p> <p>File <strong>"Genetic and clinical data"</strong>:</p> <ul> <li>In the sheet "485 aHUS patients" are reported data obtained from the screening of 485 unrelated patients with aHUS including rare variants (RVs) in complement disease-associated genes (<em>CFH, CD46, CFI, C3, CFB </em>and <em>THBD</em>), the presence of <em>CFH-CFHR</em> genomic rearrangements and/or anti-FH antibodies.</li> <li>In the sheet "Pedigrees with c.286+2T>G" are listed all pedigrees carrying the c.286+2T>G variant, the diseases status of all subjects and the age of disease onset of patients. In bold are indicated pedigrees (n=7) used to study the penetrance of aHUS in c.286+2T>G carriers.</li> <li>In the sheet "Haplotypes" are reported genotypes used to evaluate the association between the presence of <em>CFH-H3</em> and <em>CD46<sub>GGAAC</sub></em> risk haplotypes and aHUS. Results of this analysis are reported in Table 3 of the published paper.</li> <li>In the sheet "Raw data Fig.2" are reported data of "platelet count" and "serum creatinine" of the proband used to elaborate Figure 2.</li> </ul> <p>In the file <strong>"C3 and C5b-9 deposition"</strong> is reported the quantification of serum-induced C3 and C5b-9 deposition on human microvascular endothelial cell line (HMEC-1). The fluorescent staining was evaluated with Image J and expressed as pixel<sup>2 </sup>per field analyzed. The fields with the lowest and highest values were excluded from calculation. These values were used to elaborate data included in Table 2 and in Figure 5.</p> <p>In the file <strong>"CD46 protein expression"</strong> are reported data of CD46 expression on peripheral blood mononuclear cells (PBMCs) isolated from the proband, his relatives and healthy volunteers. Data of specific expression of CD46 (evaluated for SCR1 or for SCR4 as reported in the materials and methods section) are indicated as median fluorescence intensity (MFI) percentage compared with the control.</p> <p>In the ppt file <strong>"cDNA amplification and sequencing results"</strong> is reported:</p> <ul> <li>the agarose gel image of the amplified cDNA from the control (ctr), the proband (IV-8) and his healthy father (III-7).</li> <li>Electropherograms obtained from the cDNA sequencing of the control (ctr), the proband (IV-8) and his healthy father (III-7).</li> </ul> <p>Additional data will be made available by the authors, without undue reservation, to any qualified researcher. </p>
Code and data for "KGML-ag: A Modeling Framework of Knowledge-Guided Machine Learning to Simulate Agroecosystems: A Case Study of Estimating N2O Emission using Data from Mesocosm Experiments "
<p>This is code and data for manuscript: <br> "KGML-ag: A Modeling Framework of Knowledge-Guided Machine Learning to Simulate Agroecosystems: <br> A Case Study of Estimating N<sub>2</sub>O Emission using Data from Mesocosm Experiments"<br> Licheng Liu, Shaoming Xu, Zhenong Jin*, Jinyun Tang, Kaiyu Guan, Timothy J. Griffis, <br> Matt D. Erickson, Alexander L. Frie, Xiaowei Jia, Taegon Kim, Lee T. Miller, Bin Peng, Shaowei Wu, Yufeng Yang, Wang Zhou, Vipin Kumar</p> <p>All the files belong to Prof. Zhenong Jin, University of Minnesota, UA. jinzn@umn.edu<br> "code" foler includes code for data processing, model training, and results plotting.<br> "trained_model_saved" includes all trained model so you can use to reproduce the results showed in the study;<br> "data" includes all data presented in the study. Finetuning data is refering to Miller, L.T. , Griffis, T. J., Erickson, M. D., Turner, P. A., Deventer, M. J., Chen, Z., Yu, Z., Venterea, R.T., Baker, J. M., and Frie, A. L. (2021). Response of nitrous oxide emissions to future changes in precipitation and individual rain events. Journal of Environmental Quality, In review</p>
Gerational issues in linking family farming production, traditional food in diet, physical activity and obesity in Pacific Islands countries and territories: the case of the Melanesian population on Lifou Island
<p>In the Melanesian culture, traditional activities are organized around family farming, although the lifestyle transition taking place over the last several decades has led to imbalances in diet and physical activity, with both leading to obesity. The aim of this interdisciplinary study was to understand the links between family farming (produced, exchanged, sold, and consumed food), diet (focused on produced, hunted, and caught food), physical activity (sedentary, light, and moderate-to-vigorous physical activity) and obesity in Melanesian Lifou Island families (parents and children). Forty families, including 142 adults and children, completed individual food frequency questionnaires, wore tri-axial accelerometers for seven continuous days, and had weight and height measured with a bio-impedance device. Qualitative and quantitative interviews were conducted at the household level concerning family farming practices and sociodemographic variables. Multinomial regression analyses and logistic regression models were used to analyze the data. Results showed that family farming production brings a modest contribution to diet and active lifestyles for the family farmers of Lifou Island. The drivers for obesity in these tribal communities were linked to diet in the adults, whereas parental socioeconomic status and moderate-to-vigorous physical activity were the main factors associated to overweight and obesity in children. These differences in lifestyle behaviors within families suggest a transition in cultural practices at the intergenerational level. Future directions should consider seasonality and a more in-depth analysis of diet including macro- and micro- nutrients to acquire more accurate information on the intergenerational transition in cultural practices and its consequences on health outcomes in the Pacific region.</p>
Case study result data set for Energy Economics (submitted) article "On Wholesale Electricity Prices and Market Values in a Carbon-Neutral Energy System"
<p>The data set contains wholesale power price time series data for Germany and France focussing on price setting effects in a long term low carbon European energy system context (scenario year 2050) generated with the model SCOPE SD of Fraunhofer Institute for Energy Economics and Energy System Technology IEE. The single time series are focussing on the price setting effects of different flexible technologies including both traditional and new market participants due to cross-sectoral integration.</p> <p>Unit: Euro/Megawatthour</p> <p><strong>Abbreviations:</strong></p> <ul> <li>BEV - Battery Electric Vehicles</li> <li>GER - Germany</li> <li>FRA - France</li> <li>OCGT - Open Cycle Gas Turbine</li> <li>PHEV - Plug-In Hybrid Vehicles</li> <li>RES - Renewable energy sources (here: wind and solar power)</li> <li>th. - thermal</li> </ul>
Spatiotemporal Prediction of COVID-19 Cases using Inter- and Intra-County Proxies of Human Interactions (dataset)
<p>This repository contains data (features) necessary to run STXGB model and accompanies the paper titled "Spatiotemporal Prediction of COVID-19 Cases using Inter- and Intra-County Proxies of Human Interactions".</p> <p> </p> <p>STXGB is a spatiotemporal autoregressive model that predicts county-level new cases of COVID-19 in the coterminous US in 1- to 4-week prediction horizons using spatiotemporal lags of infection rates, human interactions, human mobility, and socioeconomic composition of counties as predictive features.</p>
DATASETS and OUTCOMES - Assessment of intrinsic aquifer vulnerability at continental scale through a critical application of the DRASTIC method: the case of South America
<p>A robust and comprehensive assessment of intrinsic aquifer vulnerability at continental scale map may represent an essential initial step towards a more sustainable land-use and water management.</p> <p>This repository contains the outcomes of an intrinsic aquifer vulnerability assessment of South America, performed by the DRASTIC method. The assets included in this repository are mainly raster maps (.tif, .geotif), created and georeferenced in QGIS (v3.16). Coordinate reference system (CRS) of the dataset is WGS84.</p> <p>Technical specifications of all graphical outcomes are stored in a dedicated file (README.txt).</p>
Emission line models for the lowest mass core-collapse supernovae - I. Case study of a 9 M⊙ one-dimensional neutrino-driven explosion
<p>Model spectra of the 9 Msun iron-core model, and the pure H toy model, 200-600d. Distance 10 Mpc assumed.</p>
PLANET4B coding of 29 interviews Trade & GVCs case study Brazil & EU 20250708 v2 data
<p>This file contains the coding of 29 interviews collected between 2023 and 2025, in the context of the case study "Trade & global value chains", part of the Horizon Europe Project PLANET4B. The interviews include participants from academia, environmental NGOs, Indigenous peoples and local communities, government and businesses in Brazil and in the Netherlands, connected to the global value chains of soy and beef between Brazil-Netherlands. Some of these interviews discuss the recent European Union Regulation on Deforestation-Free Products (EUDR). </p> <table> <tbody> <tr> <td> </td> </tr> </tbody> </table>
Extracting interpretable rules with Bayesian Networks. A case study of intrinsic human hazardous properties of silver nanoforms for the Safety Dimension of Safe and Sustainable by design paradigm.
<p>Three different datasets: toxicological attributes in i) lung and ii) intestinal cell line along with system dependent features and iii) system independent pchem properties) were merged. Each row represents one set of experimental testing conditions and related system dependent nanodescriptors based on the exposure dose and NFs pre-treatment (for intestinal assessments). The system independent inputs are NF specific and independent of experimental conditions. Data is captured via FAIR principles where the reader can find the origin (institution) of each data, the responsible data creators (experimentalists), the raw measurements, the protocols followed and the instrumentations used for each experiment. .</p>
Building a data curation pipeline for complex diseases: the case of Major Depression - Supplementary Material
<p>This entry contains the data generated by the study "Building a data curation pipeline for complex diseases: the case of Major Depression".</p>
IEEE New England 39-bus test case: Dataset for the Transient Stability Assessment
<p>The <strong>dataset</strong> contains <strong>350</strong> <strong>features</strong> engineered from the phasor measurements (PMU-type) signals from the <strong>IEEE New England 39-bus power system</strong> test case network, which are generated from the 9360 systematic MATLAB®/Simulink electro-mechanical transients simulations. It was prepared to serve as a convenient and open database for experimenting with different types of <strong>machine learning</strong> techniques for <strong>transient stability assessment</strong> (TSA) of electrical power systems.</p> <p>Different load and generation levels of the New England 39-bus benchmark power system were systematically covered, as well as all three major types of short-circuit events (three-phase, two-phase and single-phase faults) in all parts of the network. The consumed power of the network was set to 80%, 90%, 100%, 110% and 120% of the basic system load levels. The short-circuits were located on the busbar or on the transmission line (TL). When they were located on a TL, it was assumed that they can occur at 20%, 40%, 60%, and 80% of the line length. Features were obtained directly from the time-domain signals at the pickup time (pre-fault value) and at the trip time (post-fault value) of the associated distance protection relays.</p> <p>This is a <strong>stochastic dataset</strong> of 3120 cases, created from the population of 9360 systematic simulations, which features a statistical distribution of different fault types, as follows: single-phase (70%), double-phase (20%) and three-phase faults (10%). It also features a <strong>class imbalance</strong>, with less than 20% of cases belonging to the unstable class. Dataset is a compressed CSV file.</p> <p><strong>List of feature names in the dataset:</strong></p> <ul> <li><em>WmGx</em> - rotor speed for each generator Gx, from G1 to G10,</li> <li><em>DThetaGx</em> - rotor angle deviation for each generator Gx, from G1 to G10,</li> <li><em>ThetaGx</em> - rotor mechanical angle for each generator Gx, from G1 to G10,</li> <li><em>VtGx</em> - stator voltage for each generator Gx, from G1 to G10,</li> <li><em>IdGx</em> - stator d-component current for each generator Gx, from G1 to G10,</li> <li><em>IqGx</em> - stator q-component current for each generator Gx, from G1 to G10,</li> <li><em>LAfvGx</em> - pre-fault power load angle for each generator Gx, from G1 to G10,</li> <li><em>LAlvGx</em> - post-fault power load angle for each generator Gx, from G1 to G10,</li> <li><em>PfvGx</em> - pre-falut value of the generator active power for each generator Gx, from G1 to G10,</li> <li><em>PlvGx</em> - post-falut value of the generator active power for each generator Gx, from G1 to G10,</li> <li><em>QfvGx</em> - pre-falut value of the generator reactive power for each generator Gx, from G1 to G10,</li> <li><em>QlvGx</em> - post-falut value of the generator reactive power for each generator Gx, from G1 to G10,</li> <li><em>VAfvBx</em> - pre-fault bus voltage magnitude in phase A for each bus Bx, from B1 to B39,</li> <li><em>VBfvBx</em> - pre-fault bus voltage magnitude in phase B for each bus Bx, from B1 to B39,</li> <li><em>VCfvBx</em> - pre-fault bus voltage magnitude in phase C for each bus Bx, from B1 to B39,</li> <li><em>VAlvBx</em> - post-fault bus voltage magnitude in phase A for each bus Bx, from B1 to B39,</li> <li><em>VBlvBx</em> - post-fault bus voltage magnitude in phase B for each bus Bx, from B1 to B39,</li> <li><em>VClvBx</em> - post-fault bus voltage magnitude in phase C for each bus Bx, from B1 to B39,</li> <li><em>Stability</em> - binary indicator (0/1) that determines if the power system was stable or unstable (0 - stable, 1 - unstable); this is the label variable.</li> </ul> <p><strong>License</strong>:<strong> </strong>Creative Commons CC-BY.</p> <p><strong>Disclaimer</strong>: This dataset is provided "as is", without any warranties of any kind.</p>
Dataset for "Universality of grain boundary phases in fcc metals: Case study on high-angle [111] symmetric tilt grain boundaries"
<p>This repository contains the input files, scripts, and raw data of the simulations for the paper "Universality of grain boundary phases in fcc metals: Case study on high-angle [111] symmetric tilt grain boundaries".</p> <p>This data comprises structures of grain boundaries in high-angle [111] symmetric tilt grain boundaries in fcc metals as modeled by various (M)EAM potentials. Investigations include ground state thermodynamic excess properties, excess free energy calculations under stress or strain and with varying temperature, and related molecular dynamics simulations.</p> <p>See README.md for details.</p>
Georeferenced Data of the case studies: Sai, Kajbar, Difoinarti
<p>Georeferenced Data of the three case studies: Sai (24 February 2017), Kajbar (3 March 2017) and Difoinarti (4 March 2017 & 19 September 2017).</p> <p>Available in geojson, kml and gpx.</p> <p>See also an interpretation here: https://umap.openstreetmap.fr/en/map/walking-on-fire-perambulatory-fieldwork-and-shared_836451#16/20.7619/30.3284</p> <p> </p>
ScienceDex guides
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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.