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1,197 results for “FLEXIBILITY”
Flent: The FLExible Network Tester
<p>This is the experimental dataset from the paper "<a href="https://urn.kb.se/resolve?urn=urn%3Anbn%3Ase%3Akau%3Adiva-64766">Flent: The FLExible Network Tester</a>" published at the ValueTools 2017 conference.</p> <p>Also published at: <a href="https://www.cs.kau.se/tohojo/flent/">https://www.cs.kau.se/tohojo/flent/</a></p>
Evaluation of Comparative Damaging Effects of Multiple Truck Axles for Flexible Pavements
<p>Corresponding data set for Tran-SET Project No. 17PUTA01. Abstract of the final report is stated below for reference:</p> <p>"This study aims at evaluating the effect of overlapping flexible pavement strain responses from truck axles that are not part of multiple axle configurations (i.e., tandem, triple and quad). For this purpose, a newly constructed pavement was instrumented with strain gauges installed at the bottom of the asphalt concrete base layer on US-287 south of Mansfield, TX. This pavement structure is typically used for medium- to high-volume roads in the South-Central region of the United States. The strain gauges were used to measure longitudinal and transverse strains under several passes of a test vehicle. This was a class 6 truck with a steering axle load of 56.9 kN (12.8 kips) and a tandem drive axle load of 161.9 kN (36.4 kips). The speed and the lateral position of the vehicle were recorded for each test vehicle pass. Sufficient quantities of the top two layers of asphalt concrete were obtained during construction to allow dynamic modulus testing in the laboratory. The general-purpose finite element program Abaqus was used to model the instrumented pavement section and compute the longitudinal and transverse strains at the location of the strain gauges. In the analysis, the asphalt concrete layers were modeled as visco-elastic materials. The Abaqus estimated strains were found in good agreement with the measured strains. Both the field measurements and the finite element analysis showed that the strains under the passing of the steering axle were of similar magnitude as the strains under the passing of the rear tandem axle. The measured transverse strains were in general slightly larger than the corresponding longitudinal strains. This can be attributed to the accumulation of strain from the front axle and the rear axle that takes place only in the transverse direction. However, the finite element model computed higher strains in the longitudinal direction than in the transverse direction. These findings suggest the need to account for the overlap in strain responses from the steering and the following axles of trucks. Furthermore, findings suggest that both the longitudinal and the transverse strain responses need to be considered in evaluating the fatigue damage impacted from trucks."</p>
Simplified Approach for Structural Evaluation of Flexible Pavements at the Network Level
<p>Corresponding data set for Tran-SET Project No. 17PUTA02. Abstract of the final report is stated below for reference:</p> <p>"Currently, there are few available simple procedures to identify structurally weak pavement sections utilizing Falling Weight Deflectometer (FWD) data at the network level (e.g., city, state or province). A simple method is required to determine the structural condition of pavement sections that can be directly implemented and automated in current pavement databases. The objective of this research study is to develop a simple analysis method to determine the structural condition of pavement sections utilizing the currently available non-destructive testing (NDT) deflection measurement devices at the network level that can be directly implemented and automated in the database of a typical transportation agency. In addition, the study had conducted an advanced mechanistic analysis to mimic the FWD deflection bowl obtained from the field. The developed structural condition parameters can be easily implemented in pavement management systems (PMS). This will aid Departments of Transportation (DOTs) and local highway agencies to make more informed decisions about the most suitable maintenance and rehabilitation strategies. Those parameters were also utilized to predict the remaining fatigue lives of the studied pavement sections."</p>
5-bus system and a real 221-bus low voltage network in the UK for analysing phase unbalance impacts on aggregated flexibility
<p>Two case studies for modelling flexibility services in low voltage distribution networks and quantifying the impacts of voltage unbalance limits and phase coordination constraints. The cases are in the OpenDSS format (.dss).<br>More details in the GitHub repository: https://github.com/AndreyChurkin/3FlexAnalyser.jl</p>
Benchmark Experimental Data: Water-Wave Interactions with a Flexible Beam
<div> <h1>Experimental Data for the Experimental Modeling of Water-Wave Interactions with a Flexible Beam</h1> </div> <p>This submission is based on the GitHub repository which was created to share the experimental data presented at the <em>42nd International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2023) in Melbourne, Australia</em> in the form of a conference paper 'Experimental Modeling of Water-Wave Interactions with a Flexible Beam'[1]. The paper has already been published and is available but only behind a paywall. A talk has also been delivered at <a href="https://omae.secure-platform.com/a/solicitations/190/sessiongallery/schedule/items/13635" rel="nofollow">OMAE</a> 2023. The paper presents a series of fluid-structure-interaction (FSI) experiments for studying water-wave interactions with a flexible beam in a wide range of sea conditions thus yielding a variety of FSI test-case data. The experimental campaign is carried out at the Maritime Research Institute Netherlands's (MARIN's) concept basin. The concept basin is a 220m-long, 4m-wide and 3.6m-deep rectilinear basin with a carriage that can transverse along the basin's length. </p> <p>The experimental setup includes a flexible beam which is fixed to the basin's carriage at one end while the other free end is submerged in the water. The setup is designed such that it admits the simultaneous measurements of incident waves and the beam's response. Hence, it is suitable for studying FSI problems. The details about the dimensions of the beam and arrangements of the sensors are described in the form of detailed CAD drawings which are given in <strong>CAD_fsi_beam_exp.pdf</strong>. The shared CAD drawings could be used in the future to reproduce the model. </p> <p>The aim is to use these experimental data to validate FSI solvers commonly employed by the maritime industry in the design of fixed-foundation, offshore wind turbines. The study is divided into three experimental cases which are as follows (click on the case number to read more description):</p> <ul> <li>Case-1 experiments: regular-water-waves interactions with the flexible beam when the carriage is at rest</li> <li>Case-2 experiments: regular-water-waves interactions with the flexible beam when the carriage is moving at a constant speed</li> <li>Case-3 experiments: irregular-water-waves interactions with the flexible beam when the carriage is at rest</li> </ul> <div> <div> <h2>FSI Experiments: Interactions of water-wave with a flexible beam</h2> </div> <p>"<em>All measurements are given in the form of .h5 format files, each of which has a corresponding .pan format file containing details of measurement names, units, frequency, maximum, minimum and standard deviation. The data presented is classified into different folders given as follows:</em>"</p> <ul> <li>Folder <strong>Exp1_carriage_rest_0.25m</strong>;</li> <li>Folder <strong>Exp1_carriage_rest_0.5m</strong>;</li> <li>Folder <strong>Exp2_carriage_moving_0.25m</strong>;</li> <li>Folder <strong>Exp2_carriage_moving_0.5m</strong>;</li> <li>Folder <strong>Exp3_irreg_waves_0.25m</strong>;</li> <li>Folder <strong>Exp3_irreg_waves_0.5m</strong>; and</li> <li>Folder <strong>hammer_test</strong>.</li> </ul> <p>The description of the measurement and corresponding wave parameters are given in each folder.</p> <div> <h2>Data organisation</h2> </div> <p>All the main folders have several sub-folders and each sub-folder consists of mainly two types of files, i.e. <em>.pan</em> and <em>.h5m</em>. The files with extension <em>.pan</em> state the general information about experimental tests and sensors in text format. These <em>.pan</em> have three rows and the third row is divided into several columns. The second row states the information related to the experimental test, for example, the test number (80372_XXCB_XX_XXX_XXX_XX), project name (AEGRE), submerged depth of the beam (Proeven XX), gain, facility name (CB stands for concept basin), and scale (1.000). The first column of the third row shows the abbreviated sensor names which are explained in the table below.</p> <p>TABLE 1: The names and descriptions of the sensors are listed.</p> <table> <tbody> <tr> <th>Name</th> <th>Description</th> </tr> </tbody> <tbody> <tr> <td>C.SPEED</td> <td>Speed of the carriage</td> </tr> <tr> <td>WAVE.FORE</td> <td>Wave elevation measured by the probe located at the front of the beam (26.25 m away from the wavemaker)</td> </tr> <tr> <td>WAVE.SB</td> <td>Wave elevation measured by the probe located parallel to the beam (30 m away from the wavemaker)</td> </tr> <tr> <td>AX_i</td> <td>Accelerations of the beam in x-direction recorded by the accelerometer, where i denotes the accelerometer number</td> </tr> <tr> <td>AY_i</td> <td>Accelerations of the beam in y-direction recorded by accelerometer, where i denotes the accelerometer number</td> </tr> <tr> <td>AZ_i</td> <td>Accelerations of the beam in z-direction recorded by accelerometer, where i denotes the accelerometer number</td> </tr> <tr> <td>Flap 3 Pos</td> <td>Position of the waveflap wavemaker</td> </tr> </tbody> </table> <p>The number with the accelerations, e.g. AX.1, AY.2, and AZ.3, denotes the position of the accelerometer along the beam. The response of the beam is dominant in the direction of wave, i.e. x-direction, therefore the <em>.h5m</em> files contain accelerations in the x-direction for all of the accelerometers. The accelerometers are numbered from 1 to 6, where accelerometer number 1 is at the submerged free end of the beam while accelerometer number 6 is located at the fixed end of the beam. The rest of the accelerometers are numbered 2 to 5 from the free end to the fixed end. The files with extension <em>.h5m</em> contain the actual time-domain measurements obtained from the sensors. Each <em>.h5m</em> from the experimental case contains acceleration signal from all six accelerometers in the x-direction, wave elevation measured by the probe that is 26.25 m away from the wavemaker, wave elevation measured by the probe that is 30 m away from the wavemaker, carriage speed, and variation waveflap position throughout the run. These measurements can be read with the help of post-processing code. The post-processing codes based on MATLAB and Python scripts, with comments, are shared. The names of the MATLAB and Python scripts are <strong>read_model_tst.m</strong> and <strong>read_model_tst.py</strong> respectively. Each script needs the name of the <em>.h5m</em> file as user input. In addition to reading the <em>.h5m</em> file, the script plots the signals from the sensors. For demonstration, the provided MATLAB script is used to plot the comparison of the wavemaker position with the wave elevation measured by the wave probe that is 26.25 m away from the wavemaker.</p> <div> <h2>References</h2> </div> <p>[1] Rehman, W., Bunnik, T., Bokhove, O. and Kelmanson, M. “Experimental Modeling of Water-Wave Interactions with a Flexible Beam.” <em>Proc. ASME 2023 42nd Int. Conf. on Ocean, Offshore and Arctic Eng.</em>: p. 10. 2023. ASME.</p> </div>
Data Files for the study "Exploring risk-taking behaviour as a function of cognitive flexibility and emotional intelligence"
<p><span>Risk-taking behaviour refers to how one decides to act with the possibility of negative outcomes which is often pursued in the hope of achieving a lucrative reward, and it can happen in various circumstances, which makes it important to study and understand the key factors behind this cognitive process. The present study focused on understanding these dynamics with emotional intelligence and cognitive flexibility. The present study incorporated a healthy sample (<em>n=</em>121) whose emotional intelligence was assessed with MSREIS-R, risk-taking with GDT and cognitive flexibility with WCST. The findings suggested that cognitive flexibility and sub-scale of emotional intelligence did impact risk-taking behaviour, while no moderating effect was found between them. However, the sub-scales of emotional intelligence did predict cognitive flexibility hinting at their interactive relationship which does not erase the possibility of them not affecting risk-taking behaviour completely.<span> </span></span></p> <p>Emotional intelligence questionnaire and manuals, an Excel file consisting of Emotional Intelligence Score, SPSS file, Software file (Inquisit Program file), the link to the task script and other important links, Game of dice task(raw and summary data), Wisconsin Card Sorting Test (raw and summary data).</p>
Data for: A computational pipeline to observe the flexibility and dynamics of (plant) cytochrome P450 binding sites
<p>Binding site flexibility and dynamics strongly affect the ability of proteins to accommodate substrates and inhibitors. The significance of these properties is particularly pronounced for proteins that are inherently flexible, such as cytochrome P450 enzymes (CYPs). While the research on human CYPs provides detailed knowledge on both structural and functional level, such analyses are still lacking for their plant counterparts. This study aims to bridge this gap. Firstly, we use molecular dynamics (MD) simulations to capture the full conformational ensemble for a certain plant CYP. Subsequently, we developed and applied a comprehensive methodology to analyse a number of binding site properties - size, flexibility, shape, hydrophobicity, and accessibility - using the fpocket and mdpocket packages on MD-generated trajectories. This led to a first categorization of 15 chosen plant CYPs based on their binding site's (dis)similarities. The workflow was tested and verified on human CYPs 1A2, 2A6, and 3A4 as their binding site characteristics are well known. In addition to confirming known binding site properties, we identified and named previously unseen binding site channels for CYPs 1A2 and 2A6. This study gives initial insights into the largely uncharted fields plant CYP substrate specificity and facilitates a more precise understanding of their largely unknown specific biological functions. It offers new insights into the structural and functional dynamics of plant CYPs, which may facilitate a more accurate understanding of the fate of agrochemicals or the biotechnological design and exploitation of enzymes with specific functions. Additionally, it serves as a reference for future structural-functional analyses of CYP enzymes across various biological kingdoms.</p>
Experimental and theoretical data generated to study effect of crystallite size on the flexibility and negative compressibility of ZIF-8
<p><span>Open access to experimental data generated by the project </span><a href="https://www.electro-intrusion.eu/en"><span>Electro-Intrusion</span></a><span> (101017858, Horizon 2020, European Union) along with the research on the thermal behaviour of hydrophobic porous materials to be used in intrusion-extrusion applications. Research pertaining to Task 2.1 (WP2).</span></p> <p><span>Underlying data for the publication Johnson, L. J. W. et al. Effect of Crystallite Size on the Flexibility and Negative Compressibility of Hydrophobic Metal–Organic Frameworks. Nano Letters 2023, 23, 10682-10686. <a title="DOI URL" href="https://doi.org/10.1021/acs.nanolett.3c02431">https://doi.org/10.1021/acs.nanolett.3c02431</a> Data related to Figures 1, 2, and 3 in the article.</span></p>
Flexibility of cutaneous evaporative water loss in response to hydration in pregnant Prairie Rattlesnakes and their neonates
<p>Data and code associated with the paper published in the Journal of Experimental Biology in 2025.</p>
Cartesian Coordinates of Conformational Changes and Coordination Stability of Flexible Tripeptides During Ni(II)-Mediated Self-Assembly
<p>Cartesian Coordinates of Conformational Changes and Coordination Stability of Flexible Tripeptides During Ni(II)-Mediated Self-Assembly</p>
Data for "Information sharing within a social network is key to behavioral flexibility – lessons from mice tested under semi-naturalistic conditions"
<p>Data for "Information sharing within a social network is key to behavioral flexibility – lessons from mice tested under semi-naturalistic conditions", currently under review in Science Advances. </p>
Data to calculate metal demand from IAM energy projections and add flexibility to the technological mix
<p>In the "Data" folder, you’ll find all necessary data to run the <strong>"IAM_metal_optimisation.py"</strong> script, available on GitHub (<a href="https://github.com/Pelotte/iam-metal-demand-optimizer/tree/master" target="_new" rel="noopener">https://github.com/Pelotte/iam-metal-demand-optimizer/tree/master</a>).</p> <p>The <strong>"IAM_metal_optimisation.py"</strong> script is a tool designed to:</p> <ol> <li>Quantify metal supply and demand by sector through 2050, using energy projections from various IAMs and SSP-RCP scenarios.</li> <li>Optimize the IAM technological mix, minimizing adjustments needed to prevent metal demand from exceeding supply constraints.</li> </ol> <p>This tool supports all IAMs with power projections for SSP-RCP scenarios (except SSP3) provided in the IPCC’s Sixth Assessment Report (AR6), Working Group III, and available in the IIASA database.</p> <p>Data for RCP 2.6, SSPs 1, 2, 4, 5, of the SSP marker IAM models of the IPCC, are organized in the "Capacity Factor IAM," "GDP IAM," and "Power Capacity IAM" folders. See the GitHub README for more details.</p>
Energy demand and its temporal flexibility: approaches, criticalities and ways forward
<p>Data set of the reviewed documents in the contribution 'Energy demand and its temporal flexibility: approaches, criticalities and ways forward' under consideration for publication in 'Renewable & Sustainable Energy Reviews'</p>
Code and data for publication "pyGRETA, pyCLARA, pyPRIMA: A pre-processing suite to generate flexible model regions for energy system models"
<p>This dataset contains the code of the three pre-processing tools <a href="https://github.com/tum-ens/pyGRETA">pyGRETA</a>, <a href="https://github.com/tum-ens/pyPRIMA">pyPRIMA</a> and <a href="https://github.com/tum-ens/pyCLARA">pyCLARA</a> and an examplary database for the scope of Austria.</p> <p>To run the code with full functionality additional data is needed. Check the documentation of the tools for further information.</p> <p> </p> <p>Sources for data can be found here: </p> <p>pyGRETA: https://pygreta.readthedocs.io/en/stable/user_manual.html#recommended-input-sources</p> <p>pyPRIMA: https://pyprima.readthedocs.io/en/stable/user_manual.html#recommended-input-sources</p> <p>pyCLARA: https://pyclara.readthedocs.io/en/stable/user_manual.html#recommended-input-sources</p>
Dataset for Article: Hybrid Flexible Flowshop with Transportation Times at CP 2021
<p>This dataset contains the benchmark data used for the article "Hybrid Flexible Flowshop with Transportation Times" to appear at the 27th International Conference on Principles and Practice of Constraint Programming in Montpellier, France, from October 25th - 29th, 2021. The data consist of a MiniZinc program cp2021.mzn, and an archive of datafiles in MiniZinc data format. The archive contains 25 instances each of sizes 20, 25, 30, 40, 50, 100, 200, 400 jobs. A detailed description of the program and the data is given in the original article. </p>
Data from: The role of behavioural flexibility in primate diversification
<p class="CxSpFirst">Identifying the factors that influence species diversification is fundamental to our understanding of the evolutionary processes underlying extant biodiversity. Behavioural innovation, coupled with the social transmission of new behaviours, has been proposed to increase rates of evolutionary diversification, as novel behaviours expose populations to new selective regimes. Thus, it is believed that behavioural flexibility may be important in driving evolutionary diversification across animals. We test this hypothesis within the primates, a taxonomic group with considerable among-lineage variation in both species diversity and behavioural flexibility. We employ a time cutoff in our phylogeny to help account for biases associated with recent taxonomic reclassifications and compare three alternative measures of diversification rate that consider different phylogenetic depths. We find that the presence of behavioural innovation and social learning are positively correlated with diversification rates among primate genera, but not at shallower phylogenetic depths. Given that we find stronger associations when examining older rather than more recent diversification events, we suggest that extinction resistance, as opposed to speciation, may be an important mechanism linking behavioural flexibility and primate diversification. Our results contrast with work linking behavioural flexibility with diversification of birds at various phylogenetic depths. We offer a possible dispersal-mediated explanation for these conflicting patterns, such that the influence behavioural flexibility plays in dictating evolutionary trajectories differs across clades. Our results suggest that behavioural flexibility may act through several different pathways to shape the evolutionary trajectories of lineages.</p>
Data from: Wild Goffin's cockatoos flexibly manufacture and use tool sets
<p>The use of different tools to achieve a single goal is considered unique to human and primate technology. To unravel the origins of such complex behaviors, it is crucial to investigate tool use that does not occur species wide. These cases can be assumed to have emerged innovatively and be applied flexibly, thus emphasizing creativity and intelligence. However, it is intrinsically challenging to record tool innovations in natural settings that do not occur species-wide. Here we report the discovery of two distinct tool manufacture methods and the use of tool sets in wild Goffin's cockatoos (<i>Cacatua goffiniana</i>). Up to three types of wooden tools, differing in their physical properties and each serving a different function, were manufactured and employed to extract embedded seed matter of <i>Cerbera manghas</i>. While Goffin's cockatoos do not depend on tool-obtained resources, repeated observations of two temporarily kept wild birds and indications from free-ranging individuals suggest this behavior occurs in the wild, albeit not species-wide. The use of a tool set in a non-primate implies convergent evolution of advanced tool use. Furthermore, these observations demonstrate how a species without hands can achieve dexterity in a high-precision task. This finding of flexible use and manufacture of tool sets in animals distantly related to humans significantly diversifies the phylogenetic landscape of technology.</p>
Data from "Leveraging auxiliary data from arbitrary distributions to boost GWAS discovery with Flexible cFDR" manuscript
<p>Data from "Leveraging auxiliary data from arbitrary distributions to boost GWAS discovery with Flexible cFDR" manuscript. Full results for applications 1 and 2.</p>
Social dominance status is associated with differences in spatial cognitive flexibility in wild mountain chickadees
Social dominance has long been used as a model to investigate social stress. However, many studies using such comparisons have been performed in captive environments. These environments may produce unnaturally high antagonistic interactions, exaggerating the stress of social subordination and any associated adverse consequences. One such adverse effect concerns impaired cognitive ability, often thought to be associated with social subordination. Here, we tested whether social dominance rank is associated with differences in spatial learning and memory and in reversal spatial learning (flexibility) abilities in wild food-caching mountain chickadees at different montane elevations. Higher dominance rank was associated with higher spatial cognitive flexibility in harsh environments at higher elevations, but not at lower, milder elevations. In contrast, there were no consistent differences in spatial learning and memory ability associated with dominance rank. Our results suggest that spatial learning and memory ability in specialized food-caching species is a stable trait resilient to social influences. Spatial cognitive flexibility, on the other hand, appears to be more sensitive to environmental influences including social dominance. These findings contradict those from laboratory studies and suggest that it is critical to investigate the biological consequences of social dominance under natural conditions.
Measuring the flexibility achieved by a change of tariff
<ul> <li><strong>Name</strong>: Measuring the flexibility achieved by a change of tariff.</li> <li><strong>Summary</strong>: This dataset contains the results of a survey carried out by the Spanish electricity retailer GoiEner to assess the impact that a change of from a "flat rate" tariff towards a "time of use" tariff have. Two files are provided: <ul> <li>The results of the survey merged with a summary of the energy consumption of the clients before and after the change of tariff.</li> <li>The questions of the survey.</li> </ul> </li> <li><strong>License</strong>: CC-BY-SA</li> <li><strong>Acknowledge</strong>: These data have been collected in the framework of the WHY project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 891943.</li> <li><strong>Disclaimer</strong>: The sole responsibility for the content of this publication lies with the authors. It does not necessarily reflect the opinion of the Executive Agency for Small and Medium-sized Enterprises (EASME) or the European Commission (EC). EASME or the EC are not responsible for any use that may be made of the information contained therein.</li> <li><strong>Collection Date</strong>:</li> <li><strong>Publication Date</strong>: December 1, 2022.</li> <li><strong>DOI</strong>: 10.5281/zenodo.7382924</li> <li><strong>Other repositories</strong>: None.</li> <li><strong>Author</strong>: GoiEner, University of Deusto.</li> <li><strong>Objective of collection</strong>: The objective of the data collected is to assess the impact that the change of tariff has on the clients of GoiEner. In particular, the following questions wanted to be answered: <ul> <li>How much energy conservation can trigger a change of tariff?</li> <li>How much time flexibility could be trigger with a Time of Use Tariff?</li> <li>What are the main barriers to change the behavoiur?</li> <li>Are there any differences on behaviour depending on the socio-cultural-psycological profile of the consumers?</li> </ul> </li> <li><strong>Description</strong>: The meaning of each column is described next: <ul> <li><strong>Qx_y</strong>: Answers to the survey. See the survey file attached (in Spanish) for details.</li> <li><strong>X.z</strong>: Answers to question "¿En qué rango de horas se realizan las siguientes acciones en el domicilio?". Sorted from left to right, top to bottom.</li> <li><strong>Idioma</strong>: Languaje used to answer the survey.</li> <li><strong>Desea.dar.su.CU</strong>: data used to de-anonymize the answers.</li> <li><strong>{P,F,V}{19,20,21}</strong>: total energy consumed during the peak, flat and valley period of the day between 6/19 to 5/20 (19), 6/20 to 5/21 (20) and 6/21 to 5/22 (21).</li> <li><strong>T{19,20,21}</strong>: total energy consumed between 6/19 to 5/20 (19), 6/20 to 5/21 (20) and 6/21 to 5/22 (21).</li> <li><strong>kpi2_abs</strong>: T20 - T21</li> <li><strong>kpi2_rel</strong>: kpi2_abs / T20</li> <li><strong>kpi1_{P,F,V}{19,20,21}: </strong>{P,F,V}{19,20,21} / T{19,20,21}</li> <li><strong>kpi1_{P,F,V}diff</strong>: kpi1_{P,F,V}19 - kpi1_{P,F,V}21</li> <li><strong>T20DHS{19,20,21}</strong>: Cost of the energy of during the different periods using the last tariff.</li> <li><strong>T20TD{19,20,21}</strong>: Cost of the energy of during the different periods using the new tariff.</li> <li><strong>POWER_TARGET</strong>: Energy powerty rist indicator (https://powerpoor.eu/sites/default/files/2022-09/POWERPOOR%20D2.2%20POWER%20TARGET%20v1.0.pdf)</li> <li><strong>TotalEnergyBudget</strong>: Self assessment of the energy budget of the house in Euros.</li> <li><strong>Invoices20{20,21,22}</strong>: Amount of all the invoices for the house during the different periods.</li> <li><strong>min30{in,pre,pst}</strong>: Cluster assigned depending on its electric behaviour <em>pre</em>-COVID, dur<em>in</em>g the COVID lockdowns and <em>post</em> COVID lockdowns. See 10.5281/zenodo.7382818 for details.</li> </ul> </li> <li><strong>5 star</strong>: ⭐⭐⭐</li> <li><strong>Preprocessing steps</strong>: Data integration (from different sources from GoiEner services); data transformation (anonymization, unit conversion, metadata generation).</li> <li><strong>Reuse:</strong> This dataset is related to datasets: <ul> <li>"A database of features extracted from different electricity load profiles datasets" (DOI 10.5281/zenodo.7382818), where time series feature extraction has been performed.</li> </ul> </li> <li><strong>Update policy:</strong> There might be a single update in mid-2023 with a repetition of the survey as there have been another change of tariff in Spain.</li> <li><strong>Ethics and legal aspects:</strong> The data provided by GoiEner contained values of the CUPS (Meter Point Administration Number), which are personal data. A pre-processing step has been carried out to replace the CUPS by random 64-character hashes.</li> <li><strong>Technical aspects:</strong> the survey is provided as a PDF file and the data as a CSV file compressed with zstandard.</li> <li><strong>Other:</strong> None.</li> </ul>
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.