Find research datasets worth reusing

opencc-by-4.0Aug 2024View details →

Dataset for Real-Time Indoor Localization System Based on Wearable Device, Bluetooth Low Energy (BLE) Beacons, and Machine Learning

The dataset titled "Real-Time Indoor Localization System Based on Wearable Device, Bluetooth Low Energy (BLE) Beacons, and Machine Learning" was collected to support the development of an indoor localization system that operates at the room level. The dataset includes measurements of Received Signal Strength Indication (RSSI) from Bluetooth Low Energy (BLE) beacons (specifically the iBKS105 model) recorded by an ESP32 device. These RSSI values were captured across various rooms, allowing for precise localization within an indoor environment. The dataset is particularly useful for research in indoor localization system including machine learning-based localization algorithms.

Fig. 6 in Body condition and energy density of juvenile streaked prochilod Prochilodus lineatus (Valenciennes, 1837) in a Neotropical floodplain

Fig. 6. Spearman rank correlations (rs) between the values of energy density (E D) versus relative condition factor (K n) (a), length standard (L s) (b) and weight total (W t) (c) of Prochilodus lineatus in the floodplain of the Upper Paraná River. The line represents the trend of significant Spearman correlations.

Fig. 4 in Body condition and energy density of juvenile streaked prochilod Prochilodus lineatus (Valenciennes, 1837) in a Neotropical floodplain

Fig. 4. Median values of energy density (ED) [(a), (b)] and the relative condition factor (Kn) [(c), (d)], by standard length, in the floodplain of the Upper Paraná River, for each month sampled. Lower bars indicate the 25% percentile, upper bars indicate the 75% percentile. Different upper-case letters (ABC) indicate statistically significant differences (Kruskal-Wallis, P <0.025).

Fig. 1 in Body condition and energy density of juvenile streaked prochilod Prochilodus lineatus (Valenciennes, 1837) in a Neotropical floodplain

Fig. 1. Location of the sampling stations of Prochilodus lineatus on the Upper Paraná River floodplain, associated with the following sub-basins: Baia (5. Guaraná lagoon, 6. Gavião lagoon, 7. Fechada lagoon, 8. Pousada das Garças lagoon, 11. Baia River), Ivinhema (1. Finado Raimundo lagoon, 2. Patos lagoon, 3. Ventura lagoon, 4. Zé do Paco lagoon, 13. Ivinhema River) and Paraná (9. Garças lagoon, 10. Ressaco do Pau Veio, 12. Paraná River).

Fig. 3 in Body condition and energy density of juvenile streaked prochilod Prochilodus lineatus (Valenciennes, 1837) in a Neotropical floodplain

Fig. 3. Linear regression (a) and weight-length relationship (b) of juvenile Prochilodus lineatus in the floodplain of the Upper Paraná River.

Fig. 5 in Body condition and energy density of juvenile streaked prochilod Prochilodus lineatus (Valenciennes, 1837) in a Neotropical floodplain

Fig. 5. Median values of energy density (E D) [(a), (b)] and the relative condition factor (K n) [(c), (d)], by standard length, for each sub-basin of the floodplain of the Upper Paraná River - Baia sub-basins (Bai), Ivinhema (Ivi) and Paraná (Par) - from June 2010 to March 2011. Lower bars indicate the 25% percentile, upper bars indicate the 75% percentile. Different upper-case letters (ABC) indicate statistically significant differences (Kruskal-Wallis, P <0.025).

Fig. 2 in Body condition and energy density of juvenile streaked prochilod Prochilodus lineatus (Valenciennes, 1837) in a Neotropical floodplain

Fig. 2. Daily mean water levels of the Upper Paraná River. Arrows indicate sampling periods. Horizontal lines show the threshold of the water level for river-bank overflow (350 cm = Paraná river, Agostinho et al., 2004b; Thomaz et al., 2004).

opencc-by-4.0Aug 2024View details →

Dataset related to the publication "Measurement and assignment of J = 5 to 9 rotational energy levels in the 9070-9370 cm-1 range of methane using optical frequency comb double-resonance spectroscopy"

The files contain the normalized interleaved double-resonance spectra recorded with four different pump transitions, indicated in the file name. The first column is the wavenumber, the second column is the transmission intensity.

opencc-by-4.0Aug 2024View details →

Efficiency and heat transport processes of low-temperature aquifer thermal energy storage systems: new insights from global sensitivity analyses - Supporting Dataset

This dataset contains the files used to substantiate the outcomes of the publication "Efficiency and heat transport processes of low-temperature aquifer thermal energy storage systems: new insights from global sensitivity analyses".  It includes the output of 250 random model realizations of an aquifer thermal energy storage system in a thick productive aquifer (Case 1). It also includes the output of 500 random model realizations of an aquifer thermal energy storage system in a shallow alluvial aquifer (Case 2 part 1 and part 2). If there is interest in generating new output, the datset also includes the model input files for both cases. (Scripts to process the output data or to generate new output data can be found in the corresponding GitHub repository: https://github.com/lukatas/ATES_SensitivityAnalyses.git )

opencc-by-4.0Oct 2023View details →

Brazil - Future weather files for building energy simulation

This dataset contains future weather files for energy simulation of buildings of the state capitals of Brazil plus the Federal District. The weather data is provided in EPW format, commonly used in <a href="https://energyplus.net/">EnergyPlus inputs</a>. The periods of 2010, 2050, and 2090 are considered for generating the Typical Meteorological Years (TMY) for each location. Additionally, different climate model projections were used to enable an analysis of uncertainties in the simulation results. In this updated version, we have included the complete individual years used to develop the TMYs. This data is provided in CSV format and has been bias-corrected. The future climate data was derived from various regional climate model projections from the <a href="https://cordex.org/">Coordinated Regional Downscaling Experiment (CORDEX) project</a>. These projections are part of the CORDEX-CORE experiment, which includes three GCMs (HadGEM2, MPI-ESM, and NorESM1) as driving models, and two nested RCMs (regcm and remo) for dynamical downscaling, totaling an ensemble of six members at a spatial resolution of approximately 25km. The <a href="https://doi.org/10.1007/s10584-011-0148-z">representative concentration pathways </a>RCP 8.5 and RCP 2.6 were the available scenarios for the region, and both were considered for developing the weather files. The future climatic variable values were interpolated and formatted to an hourly resolution, commonly used in building energy simulation tools. Subsequently, different bias correction methods were applied to specific climate variables based on historical weather series. These data series consist of hourly data measured at weather stations located in each city between the years 2001 and 2021. The historical series files were made available by Dru Crawley and Linda Lawrie and served as the basis for developing the TMYx weather files available on the <a href="https://climate.onebuilding.org/">OneClimate Building website</a>. It is crucial to recognize that the historical data is based on measurements taken at airports, which are often situated far from urban centers. As a result, urban overheating was not factored into these developed weather files. It is also important to note that the developed weather files represent a typical meteorological year for each period, and do not include the most extreme periods, such as heatwaves and atypical summers. The weather files were developed specifically for use with the EnergyPlus engine. Therefore, climatic variables not used by the engine (e.g., precipitation and ceiling height), even if available in EPW format, should not be considered for other studies. It is important to emphasize the higher internal operative temperature results obtained when using the REGCM model compared to the REMO model in Building Energy Simulations. Caution is recommended when using files developed using a single combination of climate models, especially with weather files based on the REGCM model. Suggestions for corrections can be sent to matheus.bracht@posgrad.ufsc.br

Data sets accompanying "Methodological and reporting inconsistencies in land-use requirements misguide future renewable energy planning"

This data sets accompany the publication  "Methodological and reporting inconsistencies in land-use requirements misguide future renewable energy planning" in One Earth. <ul> <li>lur-db-output-zenodo.xlsx: contains all land use requirement estimates for renewable energies reviewed in the publication. Meta-data is reported in one sheet, the other sheet contains the original data.</li> <li>authorship-tree-zenodo.xlsx: contains the information necessary to derive the authorship tree shown in the supplementary information. Meta-data is reported in one sheet, the other sheet contains the original data. </li> </ul>

opencc-by-4.0Jun 2024View details →

DS.10.04 | HERCCULES project at POLIMI - Department of Energy and School of Design (June 3rd to 7th, 2024)

From June 3rd to 7th, 2024, Manuele Gatti, Lia Tagliavini, Matteo Romano and Riccardo Cremona from POLIMI Department of Energy organized and delivered a didactic workshop together with Sabrina Scuri, Valeria Bucchetti and Marco Quaggiotto from POLIMI School of Design and with Martina Fantini (EUCORE). The aim was to provide knowledge on CCUS to the students from the POLIMI School of Design for them to develop and create in 5 working days multimedial CCUS content within the framework of an academic course (BSc, 3rd year), as well as to test their perception about CCUS before and after the workshop. 9 groups have been formed, involving 44 students in total, each providing different contents (slides, infographic, videos, and game) under the assistance of the teachers.  On June 7th, 2024, students presented their final works and 3 outstanding groups have been awarded with a grant.

Data Set for the Development and Testing of the MC23 Nonclassical-Energy Functional

This dataset contains files used to train and test the Multi-Configuration 23 (MC23) functional and to compare the results to other methods. It includes files to carry out electronic structure calculations. These include molecular geometries in xyz format, OpenMolcas input files for CASSCF calculations, converged CASSCF natural orbitals, OpenMolcas basis set files, and Gaussian 16 formatted checkpoint files for KS-DFT calculations. It also includes data used for data processing such as stoichiometries, absolute energies, and reference energies. Each file in this dataset is a .tar.xz archive. One can extract them by the following command: <pre>tar -xJf name_of_archive.tar.xz</pre> Below is a description of the content of each archive. gaussian_16_fchk.tar.xz contains Gaussian 16 formatted checkpoint files for all KS-DFT calculations used in this work. The files in the archive are named as functional/database/system.fchk openmolcas_basis_set.tar.xz contains OpenMolcas basis set files used for multireference calculations. To reproduce the results in this work, the basis set files should be placed in the “basis_library” directory in the OpenMolcas installation location. openmolcas_wave_function.tar.xz contains files needed by OpenMolcas to reproduce the CASSCF wave function used in this work. The files in the archive are named database/system.*. <ul> <li>The file system.xyz contains the Cartesian coordinates. Note that for Data Set 2, the coordinates are in the input files system.inp.</li> <li>The file system.inp contains the OpenMolcas input file to perform CASSCF calculations.</li> <li>The files system.RasOrb, system.rasscf.h5, and system.rasscf.molden contain the converged CASSCF natural orbitals.</li> </ul> gaussian_16_stoichiometry_energy.tar.xz and openmolcas_stoichiometry_energy.tar.xz contain files used for data processing. <ul> <li>Files with names like database.ref contain information used to calculate the final energies and errors. They are tab-delimited files. Each row represents an energy difference (e.g. atomization energy, barrier height, etc.). The first column contains the name of the energy difference (note: spaces may be present in this column). This is followed by the file names of each electronic structure calculation and the stoichiometries used to calculate the energy difference from the absolute energies. Each name or stoichiometry occupies one column. The second from the last column contains the reference value in kcal/mol. The reference values contain spin–orbit coupling. The last column contains the factor by which the final energy should be divided. This factor usually equals 1, but it can be greater than 1 for databases calculating atomization energies per bond or per atom.</li> <li>Files with names like method.elist contain the absolute energies of each electronic structure calculation. They are tab-delimited files. Each row represents an electronic structure calculation, and each row always contains two columns. The first column is the file name of the calculation in the format database/system. The second column is the absolute energy in atomic units extracted from the output file of electronic structure programs.</li> <li>The file named SOC.dat contains the spin–orbit coupling term in kcal/mol to be added to each electronic structure calculation prior to calculating energy differences. It has the same format as files with names like method.elist.</li> </ul> The database names in the directory names use a slightly different convention than the ones in the article describing MC23. A prefix DS2_ or DS3_ is used to indicate the data set to which a database belongs, and the number of data points is removed from the database name. For example, the MR-MGN-BE8 database from Data Set 2 has a file name DS2_MR-MGN-BE.

Raw data for High-speed shear mixing: a versatile energy-efficient ultra-fast strategy for solvent-free amine-functionalised solid CO2 adsorbents for direct air capture

Specification of affiliations: <ul> <li>Pavol Suly - Centre of Polymer Systems</li> <li>Barbora Hanulikova - Centre of Polymer Systems</li> <li>Abdulkadir Bozarslan - Centre of Polymer Systems</li> <li>Milan Masar - Centre of Polymer Systems</li> <li>Michal Urbanek - Centre of Polymer Systems</li> <li>Eva Domincova Bergerova - Centre of Polymer Systems</li> <li>Michal Machovsky - Centre of Polymer Systems</li> <li>Ivo Kuritka - Centre of Polymer Systems</li> </ul>   Raw data for the research paper. Information on the data collection are described in the manuscript.

IAM_COMPACT_Study_2_Energy_security

This dataset contains the underling raw data of IAM COMPACT "Study 2 - Energy security, resilience, flexibility, costs, and environmental indicators in renewable energy systems". This study aims to respond to the research question “Evaluating energy system flexibility, energy security, energy system resilience in baseline, renewable, and cost-optimal scenarios”. It focuses on exploring methods and tools for modelling and comparing future energy systems in form of scenarios and uses a set of parameters to assess flexibility, resilience, costs, prices, etc. in renewable energy scenarios. To cover all the required areas, a comprehensive literature review is carried out so as to define indicators for evaluating renewable energy systems. These indicators are also refined with feedback from policy-makers and stakeholders. Three scenarios were created for the EU: <ul> <li>Baseline 2050, based on current commitments and projections</li> <li>1.5 Tech 2050, assuming ambitious measures to meet with the 1.5ºC increase of the Paris agreement; and</li> <li>Smart Energy Europe 2050, designed with a 100% renewable energy system.  </li> </ul> Results of the study have been documented in D4.9 – European sub-national deep dives (DOI <a href="../doi/10.5281/zenodo.13784964">10.5281/zenodo.13784964</a>)

opencc-by-4.0Dec 2019View details →

Figure 7. Energy dispersive X in Morphological updates and molecular description of Heterosentis holospinus Amin, Heckmann, & Ha, 2011 (Acanthocephala, Arhythmacanthidae) in the Pacific Ocean off Vietnam

Figure 7. Energy dispersive X-ray spectrum of the basal arch of a Gallium cut hook of a Heterosentis holospinus specimen showing high levels of calcium and phosphorus similar to those of the hook base (Table 2). The X-ray data are the elemental analysis of the hook arch (see bolded figures in Table 2). Insert: SEM of a longitudinal Gallium cut hook.

eCAPE energy crisis interviews

This dataset contains transcripts from 30 semi-structured qualitative interviews, conducted as part of a sub-project to the research project eCAPE (New Energy Consumer Roles and Technologies – Actors, Practices and Equality), running from 2018-2024. eCAPE is financed by the European Research Council (ERC) under the European Union´s Horizon 2020 research and innovation program (grant agreement number 786643). The project is led by Professor Kirsten Gram-Hanssen from Department of the Built Environment, Aalborg University. This sub-project examined how Danish households handled the energy crisis and what changes in their heating and other energy practices the crisis led to. The interviews were conducted in 2022-23 and different types of households were interviewed about their everyday life during the crisis. The interviews were conducted by Kirsten Gram-Hanssen, Line Valdorff Madsen and Line Kryger Aagaard from Department of the Built Environment, Aalborg University. Interviews were transcribed by student assistants. The interviews were coded and analysed in Nvivo by Kirsten Gram-Hanssen, Line Valdorff Madsen and Rikke Skovgaard Nielsen. The recruitment process and interview method are further described in the related peer-reviewed publications. All names are removed in transcripts and participants’ age, occupation and other personal data have in some cases been altered and in some cases paragraphs have been removed, all to ensure anonymity. Alterations are marked with brackets, where anoymised words or sections are indicated with [anonymised]. Participants received written and oral information on the research purpose and handling of their personal data and gave their written or oral consent to participate. The interviews were conducted in the participants’ homes, except for two telephone interviews and one interview conducted in a language school which the participant attended. Photos were taken during the interviews with participants’ consent, but these photos are not published in the dataset due to the protection of the anonymity of participants. Apart from the interview transcripts this dataset contains the interview guide (Danish and English version).

AURORA Energy Tracker App Dashboard on 9 September 2024

Snapshots of the AURORA Energy Tracker dashboard, showing data collected on 9 September 2024 regarding average user, energy labels and gender distribution. The dashboard is available at https://dashboard.aurora-h2020.eu/en-GB and shows data from 6 February 2024. Note that AURORA is an ongoing citizen science project and the data on this page is provided without guarantee.

Protein engineering using variational free energy approximation

Data generated by PREVENT model and used in manuscript "Protein engineering using variational free energy approximation". Contains raw input data, R scripts and Jupyter Notebooks to process data and output figures used in the main text and supplementary materials of the manuscripts.