Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3,186
datasets available to search
ShareScore release 0.9.0
Dataset results
3,186 results for “efficiency”
Data for 'Microbial carbon use efficiency along an altitudinal gradient'
<p>This dataset is related to the manuscript “Microbial carbon use efficiency along an altitudinal gradient“ by Kevin Mganga, Outi-Maaria Sietiö, Nele Meyer, Christopher Poeplau, Sylwia Adamczyk, Christina Biasi, Subin Kalu, Matti Räsänen, Per Ambus, Hannu Fritze, Petri Pellikka, and Kristiina Karhu.</p> <p>Corresponding author: Outi-Maaria Sietiö (<a href="mailto:outi-maaria.sietio@helsinki.fi">outi-maaria.sietio@helsinki.fi</a>)</p>
Post-hoc labeling of arbitrary EEG recordings for data-efficient evaluation of neural decoding methods
<p>EEG signals recorded from seven healthy subjects. On average, Seventy-three minutes of EEG data were recorded from 31 electrodes placed according to the extended 10-20 system. Signals are used in the paradigm-agnostic post-hoc labeled dataset generation framework for benchmarking of oscillatory neural decoding methods.</p>
The C-terminus of the oncoprotein TGAT is necessary for plasma membrane association and efficient RhoA-mediated signaling
<p>The figures and raw data that are presented in the paper "<strong>The C-terminus of the oncoprotein TGAT is necessary for plasma membrane association and efficient RhoA-mediated signaling</strong>"</p>
PhytoNode Upgraded: Energy-Efficient Long-Term Environmental Monitoring Using Phytosensing
<p>The urban population continues to grow despite health risks associated with densely populated cities, such as traffic congestion and air pollution. At the same time cities are also further heating up due to climate change. Environmental monitoring is increasingly critical to react quickly to temporarily increased concentrations of, for example, carbon monoxide, nitrogen oxides, ozone, and particulate matter. <br>We introduce a significantly improved version of our PhytoNode, an energy-efficient sensor node designed for phytosensing, that is, using of plants as environmental sensors. We aim for a scalable and sustainable real-time monitoring solution following our vision of an `intelligent plant' as an inexpensive and accurate sensor node. <br>We measure electrical potentials and leaf temperatures of plants to assess their well-being and, in turn, environmental conditions. <br>The PhytoNode achieves long-term energy autonomy by harvesting energy via solar cells and shares data via Bluetooth Low Energy (BLE) communication. We process the gathered time series plant data onboard in real-time using methods of Machine Learning (ML) to analyze the plant's activity and to detect dangerous concentrations of gases. In a few showcasing experiments, we demonstrate the feasibility of both our hardware and software approach for continuous, long-term environmental monitoring based on phytosensing. By embedding engineered devices in living plants as a `plant wearable' that listens to plant responses, we hope to help pushing towards smarter future cities and healthier urban environments. </p> <p> </p> <p>Data repository for our paper "PhytoNode Upgraded: Energy-Efficient Long-Term Environmental Monitoring Using Phytosensing", submitted to the 8th Future of Information and Communication Conference 2025 (FICC 2025). Please refer to the paper for more information.</p>
Evaluation of the saturator efficiency of the low frost-point generator INRIM 03 Mark 1
<p>These datasets refers to the evaluation of the saturator efficiency of the low frost-point generator INRIM 03 developed at the Istituto Nazionale di Ricerca Metrologica. Alternating the inlet gas between a dry source and a moist gas source is it possible to test the capability of the generator to saturate the carrier gas (or condensate the excess water) at the corresponding saturation<br>temperature.</p> <p>This work has been carried out within the European Metrology Programme for Innovation and Research (EMPIR) Project ‘PROMETH2O—Metrology for trace water in ultra-pure process gases’.<br>This project (Grant No. 20IND06 PROMETH2O) has received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.</p>
The Delayed Box: Biphenyl Bisimide Cyclophane, a Supramolecular Nano‒environment for Efficient Generation of Delayed Fluorescence
<p>Additional data to report <a title="DOI URL" href="https://doi.org/10.1021/jacs.4c07730">https://doi.org/10.1021/jacs.4c07730</a>:</p> <p>Activating delayed fluorescence emission in a dilute solution via a non-covalent approach is a formidable challenge. In this report, we propose a strategy for efficient delayed fluorescence generation in dilute solution using a non-covalent approach via supramolecularly engineered cyclophane-based nanoenvironments that provide sufficient binding strength to π-conjugated guests and that can stabilize triplet excitons by reducing vibrational dissipation and lowering the singlet–triplet energy gap for efficient delayed fluorescence emission. Toward this goal, a novel biphenyl bisimide-derived cyclophane is introduced as an electron-deficient and efficient triplet-generating host. Upon encapsulation of various carbazole-derived guests inside the nanocavity of this cyclophane, emissive charge transfer (CT) states close to the triplet energy level of the biphenyl bisimide are generated. The experimental results of host–guest studies manifest high association constants up to 10<sup>4</sup> M<sup>–1</sup> as the prerequisite for inclusion complex formation, the generation of emissive CT states, and triplet-state stabilization in a diluted solution state. By means of different carbazole guest molecules, we could realize tunable delayed fluorescence emission in this carbazole-encapsulated biphenyl bisimide cyclophane in methylcyclohexane/carbon tetrachloride solutions with a quantum yield (QY) of up to 15.6%. Crystal structure analyses and solid-state photophysical studies validate the conclusions from our solution studies and provide insights into the delayed fluorescence emission mechanism.</p>
Supporting Jupyter Python notebook for "A new class of efficient randomized benchmarking protocols"
<p>Python notebook containing the code used to generate the data for figure 2 in the appendix of "A new class of efficient randomized benchmarking protocols" (arXiv:1806.02048).</p>
(PRE) Socio-economic and cultural dataset in relation to Persuasive Strategies to boost Energy Efficiency and in the UK, Spain, Greece and Austria
<p>The dataset has been created from obtaining answers from 303 participants of four different countries in the EU (the questionnaire can be studied in <strong>GreenSoul_Questionnaire.pdf</strong>). It is composed by several factors which are explained in different TXT files. All these factors are contained in a "<strong>all_code_final_zenodo.xlsx</strong>" along with their answers by participants. In the following a short descrition of each TXT which explian the dataset is provided.:</p> <p> * <strong>socio-economic_description_not_dependent_of_work</strong><br> - Contains all the information from participants which is irrespective of their current workplace. This file contains typical socio-demographic and cultural attributes from respondents.</p> <p> * <strong>socio-economic_description_dependent_of_work</strong><br> - Contains socio-economic and cultural information from participants which is relevant to the workplace in relation to energy efficient practices in such environment.</p> <p> * <strong>actions-at-work</strong><br> - Are a set of attributes which describe certain practices of employees in relation to energy efficiency.</p> <p> * <strong>persuasive_strategies</strong><br> - Explain the ratings from 1 to 5 that participants attributed to a set of persuasive strategies. These strategies are framed within Phychological Persuasive principles which are also explained in the file.</p> <p> * <strong>all_attributes_together</strong><br> - All the variables together without distinction of the environment where they are applicable.</p> <p>Finally, plots from every construct or attribute are provided in a zip file (<strong>plots_descriptive_analysis_per_city.zip</strong>) which contains the plots uploaded in "PNG" extension</p>
Simulated dataset (Almeida et al., 2018 - GigaScience) treated with various clustering programs to evaluate ReClustOR efficiency and constitency
<p>ReClustOR is a novel clustering method that overcomes some of the problems associated with classical ‘<em>heuristic’</em>clustering methods and consequently increases the stability and quality of the reconstructed OTUs. Moreover, the OTUs database defined with ReClustOR can be used as reference(s) with gradual enrichment of it, with new studies and samples. In this way, huge datasets like<em> </em>the Earth Microbiome Project can be easily used as references for smaller projects, thereby increasing the quality of comparisons between studies and datasets</p> <p>Here, we propose a new approach called ReClustOR (for RE-CLUSTering method using an Open-Reference approach) to improve OTU consistency (see https://doi.org/10.5281/zenodo.2597402). This new strategy combines two of the previously-described clustering methods. Firstly, a classical clustering<em> </em>method (<em>e.g. </em>SWARM, or VSEARCH) is used to define OTU centroids and create a reference database. Secondly, a closed- or open-reference method (depending on the user’s choice) is computed for all reads which are not considered as OTU centroids. Contrary to the classical clustering methods, each read is compared to all centroids using a distance-based greedy clustering technique (Edgar, 2010; He et al., 2015), and then assigned to the nearest one, thereby fixing the erroneous assignments of reads to OTUs.</p> <p>To highlight the improvements provided by ReClustOR in describing microbial diversity in terms of ecological diversity metrics (<em>e.g. </em>richness, OTU composition, Shannon, 1/Simpson) and taxonomic composition, a simulated dataset was subjected to: (i) ESV definition, (ii) multiple conventional <em>de novo</em> methods (<em>i.e.</em> a homemade <em>de novo </em>clustering close to CRUNCHCLUST, VSEARCH and SWARM), and (iii) ReClustOR computation. This dataset is a simulated one (Almeida et al., 2018), containing a diverse set of <em>genera</em> commonly found in three ecosystems different ecosystems: human gut, ocean and soil. The clustering methods were compared for: (i) their ability to describe microbial richness, (ii) the congruence between OTU assignments and sequences taxonomy, (iii) the robustness of each defined OTU, and (iv) their ability to efficiently describe the microbial community based on OTU composition.</p> <p>Here, the simulated dataset (00_Raw_data) and all steps of analysis are available to resue them to test ReClustOR, and also to have a better understanding of files and data produced by this program. More details are available in the Tree_of_data.tree file.</p>
Nitrogen Input, Nitrogen Surplus, and Nitrogen Use Efficiency Globally and for Selected Regions
<p>Data on nitrogen input, surplus and nitrogen use efficiency are provided globally, and for USA, European Union, China, Brazil and South Asia (i.e. India, Nepal, Bangladesh and Pakistan) for 1995 to 2013. Nitrogen input (in the file ninput_1995_2013.csv) is separated into synthetic fertiliser (FERT), manure (MANURE), biological nitrogen fixation (BNF), and NOx deposition from non-agricultural sources (NOx). These N-inputs are for the whole agricultural system, including crops and grassland. Also included is N-surplus (SURPLUS) for cropping systems, which is calculated as the difference between the total N-input and the N removed through harvest. NUE (in the file nue_1995_2013.csv) is N in harvest relative to the total N-input. </p> <p>Synthetic fertilizer application is based on the FAOSTAT dataset (http://www.fao.org/home/en/) with several inputs from the International Fertilizer Association (<a href="https://www.fertilizer.org/">https://www.fertilizer.org/</a>). Total animal excretion is calculated using the FAOSTAT livestock inventory and dynamic excretion factors, biological N fixation is calculated from crop productivities (Anglade et al., 2015)<sup> </sup>and atmospheric deposition was from Dentener et al. (2006). Grassland nitrogen fixation was based on the grassland production estimated following Lassaletta et al. (2016). N in harvested crops is based on crop productivity and N content of 177 crops, utilizing data from the FAOSTAT database.</p>
Dataset to the publication "A unique signal sequence of the chemokine receptor CCR7 promotes package into COPII vesicles for efficient receptor trafficking"
<p>This repository accompanies the paper:</p> <p>"A unique signal sequence of the chemokine receptor CCR7 promotes package into COPII vesicles for efficient receptor trafficking".</p> <p>Organized into 14 folders it provides the data allowing the replication of all analyses and the manuscript's figures. For a more convenient download files were zipped.</p> <p>Upon publication of results using this dataset, please cite the following paper:</p> <p>Uetz-von Allmen E, Rippl AV, Farhan H, Legler DF. 2018. A unique signal sequence of the chemokine receptor CCR7 promotes package into COPII vesicles for efficient receptor trafficking. J Leukoc Biol 104(2):375-389.</p>
Limiting Efficiency of Heterojunction Solar Cells
<p>In this video we summarize the results of the work titled "Limiting Efficiency of Heterojunction Solar Cells" we published in IEEE Journal of Photovoltaics with DOI: <a href="https://doi.org/10.1109/JPHOTOV.2019.2932626">https://doi.org/10.1109/JPHOTOV.2019.2932626</a>. </p>
Supplementary material: Efficient in vivo screening method for the identification of C4 photosynthesis inhibitors based on cell suspensions of the single-cell C4 plant Bienertia sinuspersici
<p>Data described in Minges et al. (2019) Efficient <em>in vivo</em> screening method for the identification of C<sub>4</sub> photosynthesis inhibitors based on cell suspensions of the single-cell C<sub>4</sub> plant <em>Bienertia sinuspersici</em>. doi: <a href="https://doi.org/10.3389/fpls.2019.01350">10.3389/fpls.2019.01350</a></p> <p> </p>
Role of energy migration in the efficiency of upconversion-based resonance energy transfer to organic acceptors
<p>Graphs, data set and algorithms (in Matlab) for the article:</p> <div>Kotulska, A. M., Prorok, K., Bezkrovnyi, O., Pilch-Wrobel, A., & Bednarkiewicz, A. (2024). Role of energy migration in the efficiency of upconversion-based resonance energy transfer to organic acceptors. <em>Journal of Luminescence</em>, <em>275</em>, 120823. https://doi.org/10.1016/J.JLUMIN.2024.120823</div> <p>(https://www.sciencedirect.com/science/article/pii/S0022231324003879)<br>Abstract: Lanthanide (Ln)-doped upconverting nanocrystals (LnNPs) exhibit suitable features as energy donors for Förster resonance energy transfer (FRET). The sensitivity of biosensors can be improved by optically active materials with anti-Stokes emission, narrowband absorption and emission spectral lines, and long luminescence lifetimes. In contrast to energy reabsorption, energy transfer between the upconversion nanocrystals (UCNPs) and organic dyes attached to their surface can be observed through donor emission quenching and acceptor emission and decreases in the luminescence lifetimes of donors. Although the emission spectra confirmed that FRET occurred from the Er3+ ions to the Rose Bengal acceptor, the luminescence lifetimes were generally not affected by the presence of the acceptor. The Ln3+ dopant in LnNPs, which typically has 20–100 % Yb3+ sensitizer ions and 0.2–2% activator (Er3+/Tm3+/Ho3+) ions, results in hundreds to thousands of Ln3+ ions in a single UCNP. The interaction between multiple Ln3+ ions results in significant energy migration and storage in the Yb3+ sensitizer network, which is often recharged with the energy of the Er3+ ions when they emit and nonradiatively transfer their energy to acceptor species. However, the energy transfer mechanisms could not be unambiguously determined through spectroscopic data due to the nature the upconversion process. Studies confirmed that the energy migration distance was significantly shortened when the LnNP surface contained acceptors; this affected the energy storage and ‘recharging’ capability of the Yb3+ sensitizer network within the UCNPs. These results provide hints on the future use of LnNP as effective FRET probes, in which the highest possible absorption cross section and possibly lowest dopant concentration should be maintained.<br>Keywords: Nanocrystals; Resonance energy transfer; FRET; Monte Carlo; Lanthanide ions</p>
Dataset and models of TMLR 2024 Paper "Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance Analysis"
<p>This is a part of dataset and models of the paper published in TMLR 2024 (Transactions on Machine Learning Research, <a href="https://jmlr.org/tmlr/" target="_blank" rel="noopener">https://jmlr.org/tmlr/</a>).</p> <p>Including training datasets, testing datasets, and models.</p> <p>The example program for using this file will be put on the author's github repo branch: <a href="https://github.com/DSobscure/cgi_drl_platform/tree/game_balance_measures_tmlr" target="_blank" rel="noopener">https://github.com/DSobscure/cgi_drl_platform/tree/game_balance_measures_tmlr</a></p> <p> </p>
Usability Testing Data for Web Application Prototype: Enhancing Efficiency and Transparency in Ghana's Rental Housing Market
<p><span>The dataset includes both quantitative and qualitative responses from participants who tested the web application prototype designed to enhance decision-making in Ghana's rental housing market. The testing focused on evaluating the user interface, ease of use, satisfaction levels, and the effectiveness of key functionalities.</span></p>
Dataset related to the Journal Article 'Efficiency Enhancement of Marine Propellers via Reformation of Blade Tip-Rake Distribution'
<p>This Dataset contains results related to the Graphs shown in the publication titled "Efficiency Enhancement of Marine Propellers via Reformation of Blade Tip-Rake Distribution". The results refer to open water performance curves for the benchmark propeller geometries and the models with optimal tip-rake. In the Folder we provide the data for each figure in a specific folder with the number corresponding to the number of the figure in the published version of the paper. </p>
Efficiency circularity assessment and optimization tool_NL
<p>Inputs and results for the WIDER UPTAKE H2020 project's Dutch case study of manufacturing bio-composites uising the resources recovered from the urban water chain. </p>
Efficiency circularity assessment and optimization tool_IT
<p>Inputs and results for the WIDER UPTAKE H2020 project's Italian case study of reusing treated wastewater for agricultural irrigation. </p>
Dataset: Utilization of Novel (KNbO3)1-x(Ba2FeNbO6)x (x = 0.1, 0.2, 0.3) Solid Solutions for Efficient Photo-assisted Fenton Degradation of Methylene Blue Dye
<p>Supplemental information containing the inputs and outputs of all DFT calculations performed as part of this work.</p> <p>This archive contains the following scripts:</p> <ul> <li>defects_workup.py: a Python script for processing all calculations in a given folder. It extracts the total energy, estimated SCF accuracy (for non-converged results), and convergence status (true/false) for all cases found in each subfolder. For converged calculations, the mean Ba-Ba distance and its standard deviation as well as the mean Ba-Fe distance and its standard deviation is calculated. </li> <li>bands_plotter.ipynb: a Jupyter notebook for band structure analysis.</li> <li>ase_rdf.ipynb: a Jupyter notebook for bond distance vs energy analysis</li> </ul> <p>Furthermore, the following data is included:</p> <ul> <li>3x2x2.json: the output json file generated for the 3x2x2 dataset using defect_workup.py</li> <li>3x2x2.7z: a compressed folder containing the 3x2x2 dataset with QE input and output files.</li> <li>3x2x2-v2.7z: a compressed dataset containing some supplementary calculations used in band plotting.</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.