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95 results for “STEAM”
Test dataset for "Steam condensation scaled experiment in the presence of non-condensable gases for small modular reactor containment passive safety"
<p>This study presents scaled experiments using steam condensation with non-condensable gas (NCG)—helium (He), simulating hydrogen, and nitrogen (N<sub>2</sub>)—as these experiments are pivotal for water-cooled reactor passive containment cooling system (PCCS) design and analysis. Research into PCCSs for small modular reactors (SMRs) is especially important in light of SMR system design; however, studies in the literature reflect limitations due to test geometry and operational condition variations, without considering SMR prototypic design. To address these challenges, a scaled test facility was developed to accurately replicate SMR PCCSs. This facility includes vertical down-flow condensing test sections with 1-, 2-, and 4-in.-diameter condensing tubes, accompanied by annular water cooling. Experiments were conducted using both superheated and saturated steam, with steam mass flow rates in the presence of NCG varying from: (a) 55 to 66 kg/hr. of steam, and 1.8 to 22 kg/hr. of He (as the NCG); (b) 58 to 63 kg/hr. of steam, and 4.4 to 13.3 kg/hr. of N<sub>2</sub> (as the NCG). Test data were collected on (a) the axial temperatures of the annular cooling water; (b) the outer wall temperature of the condensers; and (c) the mass flow rate, temperature, and pressure at the test section inlets and outlets. These primary test data were used in conjunction with a standard data reduction methodology to estimate essential thermal parameters such as heat fluxes, heat transfer coefficients, and condensation rates. The effects of NCGs on steam condensation within the geometry of the scaled test sections were then presented in regard to various testing conditions.</p>
Top selling games in Steam platform
<p>The dataset is extracted from the list of best-selling games available in Spanish on the Steam platform. It contains information related to the content of the game, to its development and marketing (price and discounts), as well as different metrics derived from user opinions.</p>
Discovering indium as hydrogen production booster for a Cu/SiO2 catalyst in steam reforming of methanol
<p>Indium is as an effective H2 production promoter in a Cu/SiO2 catalyst for the steam reforming<br>of methanol. We prepared silica-supported Cu-In catalyst via a urea-assisted co-precipitation method that showed a higher H2 productivity compared to the monometallic catalyst and a H2/CO2 molar ratio of almost 3 at 493 K. By means of XPS, XRPD and HRTEM-EDX along with H2 and CO-TPR, H2O-TPD, and N2O titrations, supported by computational modeling, the superior performances were attributed to an easier H2O activation due to lower oxidation state of the Cu, resulting from the electron density transfer from the InOx phase.</p> <p>Here are available:</p> <p>Hydrogen Temperature Programmed Reduction data;</p> <p>Carbon Monoxide Temperature Programmed Reduction data;</p> <p>Water Temperature Programmed Desorption data;</p> <p>Nitrogen Physisorption data.</p>
Mapping of STEAM practices - anonymised dataset
<p>This dataset is the result of the initial dissemination of a survey submitted to STEAM practitioners, aiming at gaining insight on their on-going STEAM practices, which have informed the project's mapping of STEAM practices (Deliverable 4.2). </p>
Operating conditions and steam gasification results
<p>Dataset of the Article "Development of a Chemical Quasi-Equilibrium Model of Biomass Waste Gasification in a Fluidized-Bed Reactor by Using Aspen Plus".</p> <p>In the delicate context of climate change, biomass gasification has been demonstrated to be a very useful technology to produce power and hydrogen. Nevertheless, in literature, there is a lack of a flexible and fast but accurate model of biomass gasification that can be used with all the combinations of oxidizing agents, taking into account both organic and inorganic contaminants, and able to give results that are more realistic. In order to do that, a model of biomass gasification has been developed using the chemical engineering software Aspen Plus. The developed model is based on the Gibbs free energy minimization applying the restricted quasi-equilibrium approach via Data-Fit regression from experimental data. The simulation results obtained, considering different mixes of gasifying agents, were compared and validated against experimental data reported in literature for the most advanced fluidized bed technology. The maximum discrepancy value obtained for hydrogen, with respect to experimental data, is of 8%, and all the other values reached by the developed simulations, considering both organic and inorganic compounds, are in good agreement with literature data. The gas yield reached by the developed simulation is in the range of 1.1–1.3 Nm<sup>3</sup>/kg. </p>
Steam Games
<p>Videogames data scrapped from steam. Contains:</p> <p><strong>'is_dlc' → If it is a DLC of another game</strong></p> <p><strong>'img_src' → Header image src</strong></p> <p><strong>'short_description' → Short game description (in spanish)</strong></p> <p><strong>'recent_reviews' → Valoration in recent reviews</strong></p> <p><strong>'recent_reviews_count' -> Number of recent reviews</strong></p> <p><strong>'all_reviews' → Valoration in all times reviews</strong></p> <p><strong>'all_reviews_count' → Total number of reviews</strong></p> <p><strong>'reviews_anomally' → Whether is ther an anomally in reviews</strong></p> <p><strong>'release_date' → Release date</strong></p> <p><strong>'developer' → Developer</strong></p> <p><strong>'developer_url' → URL to Developer web page</strong></p> <p><strong>'publisher' → Publisher</strong></p> <p><strong>'publisher_url' → URL to publisher web page</strong></p> <p><strong>'tags' → Categories of this videogame</strong></p> <p><strong>'discount_original_price' → Videogame original price (in case there is a discount)</strong></p> <p><strong>'discount_final_price' → Videogame discounted price</strong></p> <p><strong>'discount' → % of discount</strong></p> <p><strong>'price' → Videogame original price (in case there aren't any discount)</strong></p> <p><strong>'game_content' → More content linked to this videogame</strong></p> <p><strong>'name' → Name</strong></p> <p><strong>'genre' → Genre</strong></p> <p><strong>'website' → Videogame's original website</strong></p> <p><strong>'metacritic_score' → Metacritic score</strong></p> <p><strong>'metacritic_url' → URL to metacritic game's page.</strong></p>
Caribou Poker Creek Research Watershed GIS Data: Steam Lines
Stream lines generated for 63,360 Digital Line Graphics (DLG) in and near our research areas in the Caribou Poker Creek Research Watershed. Geospatial_Data_Presentation_Form: vector digital data.
Mapping of STEAM practices - anonymised dataset (updated)
<p>This dataset is the updated result of the dissemination of a survey submitted to STEAM practitioners, aiming at gaining insight on their on-going STEAM practices, which have informed the project's mapping of STEAM practices (Deliverable 4.2 and 4.4). </p>
Data set - Practical teacher-training program on STEAM activity planning
<p>Data set of answers of 14 Brazilian teachers who took part in a practical teacher-training program on STEAM activity planning. </p>
APPENDIX A - SEARCH PROTOCOLE AND PAPERS LIST - Cognitive Neuroscience's Transposition in STEAM Classroom: A Systematic Literature Review
<p>An integrative literature review was performed corresponding to PRISMA’ protocol in order to integrate issues over an innovative curriculum through cognitive sciences didactic transposition in STEAM classrooms. The search action was handled using various international databases. Each paper was selected alongside the PICO strategy and a defined selection criterion. Analysis of the literature between 2000 and 2021 is presented.</p>
Metadatos y portadas de los juegos más nuevos y populares en la plataforma Steam
<p><span>Este dataset contiene un ranking de los juegos más destacados en la plataforma Steam por género y subgénero en una fecha en específico. A su vez contiene el listado de géneros y subgéneros, la metainformación de cada juego y la imagen de portada del mismo. El scrapeo se ha realizado el 10 de noviembre de 2024. Es posible ejecutar el código de manera periódica para ir recopilando datos históricos.</span></p>
Información sobre los juegos más nuevos y populares por género de la plataforma Steam
<p><span>El conjunto de datos obtenido en el presente proyecto se compone de un dataset principal, dos datasets complementarios, y una carpeta que contiene imágenes. </span></p> <p> </p> <ul> <li><span>El dataset principal contiene información detallada de una variedad de videojuegos como el nombre, la fecha de lanzamiento, y el precio, entre otros.</span></li> <li><span>El primero de los datasets complementarios contiene un listado de los géneros y subgéneros que Steam considera como más destacados. Entre los que se encuentran acción, aventuras, y estrategia, entre otros. </span></li> <li><span>El segundo dataset complementario contiene un listado de los juegos más recientes y populares por cada género y subgénero. </span></li> <li><span>Por último, la carpeta de imágenes contiene la portada de cada uno de los videojuegos. </span></li> </ul>
Top Steam Offers
<p><strong>A partir de les dades de la pàgina Steam, s’han extret els articles que tenen aplicat algun tipus de descompte. Aquesta informació s’ha emmagatzemat en un dataframe de cinc variables: </strong></p> <ul> <li> <p><strong>Name str: nom del videojoc</strong></p> </li> <li> <p><strong>Tags list: nom dels tres tags principals del videojoc</strong></p> </li> <li> <p><strong>Original price float: preu inicial (sense descompte)</strong></p> </li> <li> <p><strong>Discount string: descompte aplicat (en %)</strong></p> </li> <li><strong>Offer price float: preu final (després del descompte)</strong></li> </ul>
Steam_games
<p>Steam games dataset, which includes various columns of information, such as required_age, categories, achievements, average_playtime, median_playtime, owners and platforms.</p>
DigiPACT: Green Steaming and Green Routing Experiments
<p> </p> <p>README DigiPACT</p> <p>This document provides supporting information for the data files of the <a href="https://convergence.nl/reducing-emissions-in-the-port-of-rotterdam-with-a-digital-twin/">DigiPACT</a> project.</p> <p>3d.zip</p> <p>3D visualizations including the lab-scale vessel</p> <p>apr 12 2023 max guidance in the loop & working.zip</p> <p>Data recordings of the Port Call expriment conducted on April 12 (successful).</p> <p>jan 23 2023.zip</p> <p>Data recordings of the initial attempt at the Green Routing experiment conducted on January 23 (unsuccessful).</p> <p>jan 25 2023.zip</p> <p>Data recordings of the second attempt at the Green Routing experiment conducted on January 25 (unsuccessful).</p> <p>jan 30 2023.zip</p> <p>Data recordings of the third attempt at the Green Routing experiment conducted on January 30 (successful).</p> <p>mar 1 2023 velocity controller working first iteration.zip</p> <p>Data recordings of the Green Steaming experiment conducted on March 1 (successful).</p> <p>videos.zip</p> <p>Collection of videos made during the experiments.</p> <p> </p> <p> </p>
STEAM evaporation and precipitation for potential vegetation and current land use scenarios
<p>This dataset contains global evaporation and precipitation data generated and described in the following research article:</p> <p><strong>Wang-Erlandsson, L., Fetzer, I., Keys, P. W., van der Ent, R. J., Savenije, H. H. G., and Gordon, L. J.: Remote land use impacts on river flows through atmospheric teleconnections, Hydrol. Earth Syst. Sci., 22, 4311–4328, https://doi.org/10.5194/hess-22-4311-2018, 2018.</strong></p> <p>The dataset includes evaporation and precipitation for a potential vegetation (pv) and a current land use scenario (cur) and comes in monthly resolution and a spatial grid of 1.5° over the period 2000 - 2013. The files are saved in MAT file format.</p> <p>In addition, it includes the data in NetCDF files regridded using cdo (remapnn) to 0.5° spatial resolution.</p>
Dataset - Biomass Steam Gasification, High-Temperature Gas Cleaning, and SOFC Model: A Parametric Analysis
<p>Dateset of the Article "Biomass Steam Gasification, High-Temperature Gas Cleaning, and SOFC Model: A Parametric Analysis".</p> <p>Effect of S/B ratio on syngas; Effect of the S/B ratio on electrical efficiency; Effect of the S/B ratio on current density; Effect of the current density on cell voltage; Effect of the current density on power density; Effect of the current density on electrical efficiency; Influce of CO concentration on SOFC power production; Influce of the air flow rate to the cathode on SOFC power production.</p> <p>Gasification technology is actually one of the most effective ways to produce power and hydrogen from biomass. Solid oxide fuel cells (SOFCs) have proved to be an excellent energy conversion device. They can transform the chemical energy content in the syngas, produced by a gasifier, directly into electrical energy. A steady-state model of a biomass-SOFC was developed using process simulation software, ASPEN Plus (10, AspenTech, Bedford, MA, USA). The objective of this work was to implement a biomass-SOFC system capable of predicting performance under diverse operating conditions. The system is made of a gasification zone, gas cleaning steps, and SOFC. The SOFC modelling was done without external subroutines, unlike most models in the literature, using only the existing ASPEN Plus blocks, making the model simpler and more reliable. The analysis of the syngas composition out of each cleaning step is in accordance with literature data. Then, a sensitivity analysis was carried out on the main parameters. The results indicate that there must be a trade-off between voltage, electrical efficiency, and power with respect to current density and it is preferable to stay at a low steam-to-biomass ratio. The electrical efficiency achieved under the operating conditions is 57%, a high value, making these systems very attractive.</p> <p><a href="https://doi.org/10.3390/en13225936">https://doi.org/10.3390/en13225936</a></p>
Dataset for "Seismic signatures of partial steam saturation in fractured geothermal reservoirs: Insights from poroelasticity"
<p>Dataset for "Seismic signatures of partial steam saturation in fractured geothermal reservoirs: Insights from poroelasticity". This dataset allows to reproduce the figures of the manuscript. Cite: Quiroga, G. E., Rubino, J. G., Solazzi, S. G., Barbosa, N. D., Favino, M., & Holliger, K. (2023). Seismic signatures of partial steam saturation in fractured geothermal reservoirs: Insights from poroelasticity. <em>Geophysics</em>, <em>88</em>(5), WB89-WB104.</p> <p> </p>
Steam Engine Room_Carolina
Steam Engine Room model of rice husks factory, Casa Cadaval, Muge, Portugal Source: Objaverse 1.0 / Sketchfab
The Merc | Dayton OH abandoned steam plant
its a 100 year old building that was remodeled in 2017. I just wanted to upload what i had, stll a work in progress imo. Source: Objaverse 1.0 / Sketchfab
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
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Annotated Behaviour and Observability Dataset (ABODe)
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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.