Find research datasets worth reusing

opencc-by-4.0Aug 2023View details →

UFLUX 100m half-yearly carbon, water, and energy fluxes in Europe in 2018

<div> <h3>UFLUX Ensemble Europe100m6monthly (European 100 6-monthly) in 2018</h3> Overview The UFLUX ensemble dataset offers European fluxes at 100 m spatial resolution, generated using Deep Forest machine learning models. It integrates satellite-based Sentinel-2 vegetation proxies NIRv with ERA5 climate reanalysis, and is trained against ICOS eddy covariance observations. The UFLUX project includes five core flux components: <ul> <li> Gross Primary Production (GPP) </li> <li> Ecosystem Respiration (RECO) </li> <li> Net Ecosystem Exchange (NEE) </li> <li> Sensible Heat Flux (H) </li> <li> Latent Energy Flux (LE) </li> </ul> Background and Methodology The Unified FLUXes (UFLUX) initiative is a data-driven, machine learning-based platform designed to upscale eddy covariance (EC) flux measurements from tower sites to the global scale. It aims to answer pressing questions about how effectively terrestrial ecosystems are managed under climate change. Key innovations of UFLUX include: <ol> <li> Consistent Upscaling Framework: Harmonizes flux upscaling across spatial/temporal scales and multiple flux types (GPP, RECO, etc.) using deep decision tree-based methods, better suited than conventional neural networks for EC flux data. </li> <li> Hybrid Explainable ML: Combines black-box ML with ecological interpretability through residual learning, offering both predictive power and new scientific insight (UFLUXv2). </li> <li> Uncertainty Quantification: Employs sampling space completeness to assess model uncertainty in a transparent, robust manner. </li> <li> Multisource Integration: Leverages complementary strengths of vegetation proxies (e.g., NIRv, SIF) and climate data (e.g., ERA5) to represent carbon dynamics more comprehensively than single-source approaches. </li> <li> Superior Gap-Filling: Originally developed as a global EC flux gap-filling tool, UFLUX improves accuracy by up to 30% and reduces uncertainty by as much as 70% compared to traditional methods. </li> <li> High Performance: Achieves strong predictive accuracy, with global-scale R² > 0.8 for RECO and ≈0.9 for GPP, while being computationally efficient enough to run on a standard laptop. </li> <li> Community Adoption: Already used by other global upscaling projects, highlighting its reliability and impact. </li> </ol> Applications UFLUX is ideal for studying the interactions between land management, climate change, and carbon fluxes, particularly in improving global estimates of GPP and RECO by addressing biases in EC measurements. Resources <ul> <li>UFLUX Website: <a href="https://github.com/soonyenju/uflux" target="_new" rel="noopener">https://sites.google.com/view/uflux</a></li> <li> Code Repository: <a href="https://github.com/soonyenju/uflux" target="_new" rel="noopener">https://github.com/soonyenju/uflux</a> </li> <li> Technical & Descriptive Publication: <a href="https://doi.org/10.1080/01431161.2024.2312266" target="_new" rel="noopener">https://doi.org/10.1080/01431161.2024.2312266</a> </li> </ul> </div>

opengpl-2.0Aug 2023View details →

SPEChpc 2021 Benchmarks: A Performance and Energy Case Study

SPEChpc 2021 Benchmarks on Ice Lake and Sapphire Rapids based Infiniband Clusters: A Performance and Energy Case Study.

High Energy Lightning Emission Network (HELEN) Flight 7a 06/19/2023

Data gathered during the flight of the High Energy Lightning Emission Network (HELEN) on June 19th, 2023. The first file, 1-Flight7a-Raw Data.zip, is the raw data taken directly from the payloads' micro SD cards. In the second file, 2-Flight7a-Data to Process.zip, the data has been cleaned and is suitable for further processing. The third file, 3-Flight7a-Processed Data.zip, contains data that has been combined and temporally synced. This data can be easily read into MATLAB and used to reproduce results.

THz driven field emission: energy and time-of-flight spectra of ions (DATASET)

We present an experimental and numerical study of ion field evaporation from LaB6 nanotips using single-cycle terahertz (THz) transients and a static bias voltage. Varying the amplitude and phase of the THz pulses and the value of the bias, we explore the THz-induced reshaping of the ions energy and their time-of-flight spectra. These results prove that short THz transient of about 1 ps can induce ionization and emission of ions from LaB6 samples by a field effect: the THz transient acts as an ultra-short electrical pulse. Moreover, comparing numerical and experimental results, we prove that the response time of surface atoms to the THz transient is shorter than 1 ps, corresponding to the vibration times of acoustic phonons in LaB6. In the following dataset, you can find data from THz-APT obtained from LaB6 sample and results of simulation of ions under THz Field done with Lorentz

opencc-by-4.0Apr 2023View details →

Pion Energy Regression in High-Granularity Calorimeter Prototype

The dataset consists of simulations of calibrated reconstructed hits produced by a pion passing through the HGCAL test beam prototype. For the simulations, Monte Carlo method is used to produce the pions with energy ranging from 10 to as high as 500 GeV. The dataset contains the coordinates of the calibrated reconstructed hits in the prototype along with the calibrated energy in units of MIP. The HDF5 files can be extracted from the gzip files.

Optimized stationary points on the potential energy surface of the reaction of atomic oxygen O(3P) with acrylonitrile

This Zip file contains the cartesian coordinates of optimized stationary points of the O(3P) + acrylonitrile potential energy surface (PES). The PES has been published in our article “A Computational Analysis of the Reaction of Atomic Oxygen O(3P) with Acrylonitrile” (Lecture Notes in Computer Science 2021, 12958, 339-350), that can be found in https://doi.org/10.1007/978-3-030-87016-4_25 . All calculations have been performed with  Gaussian 09, Revision D.01. All structures have been optimized at B3LYP/aug-cc-pVTZ level of theory.

Optimized stationary points on the potential energy surfaces of the N(2D) + CH2CHCN and CN + CH2CHCN reactions

This Zip file contains the cartesian coordinates of optimized stationary points on the potential energy surfaces (PESs) of two reactions: N(2D) + CH2CHCN (acrylonitrile) and CN + CH2CHCN. The PES has been published in our article “A Theoretical Investigation of the Reactions of N(2D) and CN with Acrylonitrile and Implications for the Prebiotic Chemistry of Titan” (Lecture Notes in Computer Science 2022, 13378, 246-259), that can be found in https://doi.org/10.1007/978-3-031-10562-3_18 . All calculations have been performed with  Gaussian 09, Revision D.01. All structures have been optimized at B3LYP/aug-cc-pVTZ level of theory.

Optimized stationary points on the potential energy surfaces of the N(2D)+ C2H4 and N(2D)+ CH2CHCN reactions

This Zip file contains the cartesian coordinates of optimized stationary points on the potential energy surfaces (PESs) of two reactions: N(2D)+ C2H4 and N(2D)+ CH2CHCN. The PESs have been published in our article “Computational Investigation of the N(2D)+ C2H4 and N(2D)+ CH2CHCN Reactions: Benchmark Analysis and Implications for Titan’s Atmosphere” (Lecture Notes in Computer Science 2023, 14105, 705-717), that can be found in https://doi.org/10.1007/978-3-031-37108-0_45  . All calculations have been performed with Gaussian 09, Revision D.01. All structures have been optimized at B3LYP/aug-cc-pVTZ level of theory.

Optimized stationary points on the potential energy surfaces of the S+(4S) + SiH2(1A1) and HSiS+/SiSH+ + NH3 reactions

This Zip file contains the cartesian coordinates of optimized stationary points on the potential energy surfaces (PESs) of three reactions: S+(4S) + SiH2(1A1), 3HSiS+ + NH3 and 3SiSH+ + NH3. These PESs are part of our paper “The S+(4S)+SiH2(1A1) Reaction: Toward the Synthesis of Interstellar SiS” (Lecture Notes in Computer Science 2022, 13378, 233-245), that can be downloaded in https://doi.org/10.1007/978-3-031-10562-3_17 . All calculations have been performed with  Gaussian 09, Revision D.01. All structures have been optimized at B3LYP/aug-cc-pV(T+d)Z level of theory.

Low-energy Museum Storage Buildings: Climate, Energy Consumption and Air Quality. Data Set for Final Data Report

The 43 txt-files included in this dataset relate to the report: Ryhl-Svendsen, Jensen, Bøhm, and Klenz Larsen (2012): Low-energy Museum Storage Buildings: Climate, Energy Consumption and Air Quality. UMTS Research Project 2007–2011: Final Data Report, Kgs. Lyngby: National Museum of Denmark, 122 pp. The document <a href="https://zenodo.org/api/files/145584b0-46b5-4341-8b02-7dfea90fa97c/00_List-of-data-files.pdf?versionId=a3e9691f-6e73-4a7b-aaab-c8ccee7c419b">00_List-of-data-files.pdf</a> contain a full list of the data files with a description of their structure and content, and is the key to how the individual data files relate to the report.  The research project focussed on four modern museum storage facilities in Denmark, for which the indoor climate, air quality, and the energy consumption of the climate control systems was measured at several locations, typically for a period of between two and four years. The storage facilities were Museum of Southwest Jutland’s storage building in Ribe (‘Ribe’), The Shared Storage Facility at The Centre for Preservation of Cultural Heritage in Vejle (‘Vejle’), The Joint Storage Facility for museums in East Jutland/ Museum Østjylland (‘Randers’), and from The National Museum of Denmark the storage building Hall P at the Ørholm Storage Facility (‘Ørholm’). For description of the sites, monitoring campaigns, and graphed data, the report should be consulted. For completeness, the report is included with the dataset (<a href="https://zenodo.org/api/files/145584b0-46b5-4341-8b02-7dfea90fa97c/Report_low-energy-museum-storage-buildings.pdf?versionId=44097d39-775b-4031-9e07-6978c68912a9">Report_low-energy-museum-storage-buildings.pdf</a>).

Optimized structures of selected stationary points on the potential energy surface of the HC3N + CN reaction

This Zip file contains the cartesian coordinates of optimized stationary points of the HC3N + CN potential energy surface published in our article “Semiempirical Potential in Kinetics Calculations on the HC3N + CN Reaction” (Molecules 2022, 27(7), 2297), that can be found in <a href="https://doi.org/10.3390/molecules27072297">https://doi.org/10.3390/molecules27072297</a> . All calculations have been performed with  Gaussian 09, Revision D.01. All structures have been optimized at M06-2X/6-311+G(d,p) level of theory.

Supplemental Data for "Energy minimization of paired composite fermion wave functions in the spherical geometry"

Includes extra data for "Energy minimization of paired composite fermion wave functions in the spherical geometry".

openCC (other)Jun 2020View details →

edi44/100

Mass and energy fluxes from the US-Jo2 AmeriFlux eddy covariance tower in Tromble Weir experimental watershed at the Jornada Basin LTER site, 2010-ongoing

This data package contains metadata for, and links to, 30-minute mass and energy flux data collected at an eddy covariance tower in the Tromble Weir Watershed area of the Jornada Basin in southern New Mexico, USA. These data are used to quantify the water and energy balances in a small experimental watershed, including observational studies to calculate groundwater recharge as a water balance residual, to build relations between soil moisture state and ET flux, and to quantify land-atmosphere interactions and improve our understanding of the eddy covariance method. Additionally, they have been used in modeling studies as a validation of model performance. The .csv files included in this package list and describe the data entities and variables present in data files archived at the AmeriFlux data repository (site US-Jo2; http://ameriflux.lbl.gov/sites/siteinfo/US-Jo2). The data at AmeriFlux include the 30-minute mass and energy fluxes calculated from 20 Hz data collected at the Tromble Weir Watershed tower. Instrument descriptions and detailed procedures are found in the references listed in the Methods section of this EDI package. This is an ongoing dataset that will be updated annually.

edi44/100

MCR LTER: Coral Reef: Growth and scaling of photosynthetic energy intake in Fungia concinna: Elahi & Edmunds 2007 JEMBE

For many marine invertebrates, the maximum size of an individual is influenced heavily by environmental factors and may be limited by energetic constraints. In this study, an energetic model developed originally for anemones was applied to the free-living scleractinian Fungia concinna (Verrill) from Moorea, French Polynesia to test the hypothesis that energetic constraints limit the size of this solitary coral. The modified model assumed that photosynthesis was the primary source of metabolic energy, and that metabolic costs were represented by aerobic respiration; these sources and sinks of energy were compared using daily energy budgets that were analyzed using double logarithmic regressions of energy against coral size. These data were published in Elahi, R. and P.J. Edmunds. 2007. Determinate growth and the scaling of photosynthetic energy intake in the solitary coral Fungia concinna (Verrill). Journal of Experimental Marine Biology and Ecology 349:183-193. and were part of the masters thesis of R. Elahi (2005). This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2018). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.

openCC (other)Feb 2012View details →

opencc-by-4.0Dec 2019View details →

(POST) Socio-economic and cultural dataset in relation to Persuasive Strategies to boost Energy Efficiency and in the UK, Spain, Greece and Austria

The dataset has been created from obtaining post-pilot answers from 106 participants of four different countries in the EU (the questionnaire can be studied in GreenSoul_Validation_Questionnaire-POST.pdf). It is composed by several factors which are explained in POST-coding.ods file. All these factors are contained in: "POST-results-socio-economic-model.ods" and "POST-results-treatments-evaluation.ods" along with their answers by participants. Finally, we provided a cleaned version of the dataset to study how can a researcher is able to forecast the ranking that a user will give to different persuasion strategies according to user profiles: "POST-results-ranking-model.ods"

opencc-by-4.0Feb 2020View details →

Battery and water heater energy elasticity performance optimisation

This dataset provides actual data demonstrating the INVADE European Union initiative (https://h2020invade.eu/) from the Bulgarian pilot situated in Albena resort, Bulgaria (https://albena.bg/). It represents results from two different approaches to energy elasticity - using a 200kWh industrial sized battery with a combination of a PV, as well as using water heaters with a combination of thermal solar collectors. For both approaches, the system takes into account the energy prices as listed in the Independent Bulgarian Energy Exchange (http://www.ibex.bg/en), as well as weather forecast for the expected energy production from the solar panels. Battery.xlsx (16 days worth of data for the battery as follows): <ul> <li>Timestamp: the time stamp of the entered data point</li> <li>IBEX SpotPrice (EUR/MWh): the energy price for the current data point</li> <li>Consumption (kWh): the current energy consumption from the grid as taken from the energy meter into the facility</li> <li>ChargingPowerRegulation (kW): control signal received from the system to charge the battery</li> <li>DischargingPowerRegulation (kW): control signal received from the system to discharge the battery</li> <li>EnergyLevel (kWh): the energy level of the battery</li> <li>PV Production (kWh): the produced energy by the PV installation</li> <li>ActualSolarIrradiation (W/m^2): the current solar irradiance</li> <li>ActualTemperature (℃): the current temperature</li> </ul> WaterHeater.xlsx (1 month worth of data for the water heater as follows): <ul> <li>Timestamp: the time stamp of the entered data point</li> <li>IBEX SpotPrice (EUR/MWh): the energy price for the current data point</li> <li>Consumption (kWh): the current energy consumption from the grid as taken from the energy meter into the facility</li> <li>EnergyLevelHeat (kWh): the current thermal energy level in the water boilers</li> <li>EnergyHeatCapacity (kWh): the current thermal energy capacity of the water boilers</li> <li>HeatProduction (kWh): the current thermal energy production by the solar thermal collectors</li> <li>ActualSolarIrradiation (W/m^2): the current solar irradiance</li> <li>ActualTemperature (℃): the current temperature</li> </ul> Please, make all Creative Commons license attributions for usage of this dataset to "Albena AD (https://albena.bg/)"

opencc-by-4.0Mar 2020View details →

Plummeting costs of renewables - Are energy scenarios lagging?

Raw data for the working paper "Plummeting costs of renewables - Are energy scenarios lagging?"

opencc-by-4.0Nov 2018View details →

Fig. 1 in Divergence in energy sources for Prochilodus lineatus (Characiformes: Prochilodontidae) in Neotropical floodplains

Fig. 1. Map of the floodplain of the Upper Paraná River, highlighting the areas sampled in this study. The subsystems sampled were A = Paraná River, B = Baía River and C = Ivinheima River. The numbers indicate sampled sites in each subsystem.

opencc-by-4.0Nov 2018View details →

Fig. 4 in Divergence in energy sources for Prochilodus lineatus (Characiformes: Prochilodontidae) in Neotropical floodplains

Fig. 4. The average percentage contribution of each carbon source in different subsystems. The width of arrows represents the strength of resource utilization in each environment studied (MB = microbial biomass).