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7 results for “Heavy Transportation”
Planetary boundaries analysis of Fischer-Tropsch Diesel for decarbonizing heavy-duty transport
<p>Dataset associated with the publication "Planetary boundaries analysis of Fischer-Tropsch Diesel for decarbonizing heavy-duty transport" by Margarita A. Charalambous, Juan D. Medrano-Garcia, and Gonzalo Guillén-Gosálbez, available at <a href="https://doi.org/10.1016/B978-0-323-85159-6.50328-6">https://doi.org/10.1016/B978-0-323-85159-6.50328-6</a>. The dataset includes the numeric data required to plot all the figures embedded in the manuscript.</p> <p>The structure of the dataset is here elucidated sheet by sheet:</p> <ul> <li><strong>LCA-Inventories:</strong> Inventory datasets used for life cycle assessment. Includes the inventory for the production of FT-diesel from CO<sub>2</sub> and H<sub>2</sub> sources investigated in this work, carbon dioxide from direct air capture (DAC), and point source coal power plant, as well as, the production of hydrogen from biomass and polymer electrolyte water electrolysis. Moreover, required adjustments to accommodation FT-diesel fuel in the truck transport activity are summarized.</li> <li><strong>LCA-Total</strong>: numerical values associated with the total share of safe operating space for all the assessed control variables of the seven planetary boundaries quantified in the study, for all the considered scenarios. These values represent the data used to create Figure 2.</li> <li><strong>LCA-Breakdown</strong>: numerical values associated with the breakdown of the environmental impacts for the studied scenarios, for three control variables (CO<sub>2</sub> concentration, and biosphere integrity). These values represent the data used to create Figure 3. </li> </ul>
The role of hydrogen in heavy transport to operate within planetary boundaries
<p>Dataset associated with the publication "The role of hydrogen in heavy transport to operate within planetary boundaries" by Antonio Valente, Victor Tulus, Galán-Martín, Mark A. J. Huijbregts, and Gonzalo Guillén-Gosálbez, available at <a href="https://doi.org/10.1039/D1SE00790D">https://doi.org/10.1039/D1SE00790D</a>. The dataset includes the numeric data associated with the plots described in the main manuscript, as well as the tables presented in the main manuscript converted in a machine-readable format.</p> <p>The structure of the dataset is here elucidated sheet by sheet:</p> <ul> <li><strong>Tables</strong>: tables 3 and 4, as reported in the main manuscript, with evolution considered for the main technical parameters and the values of the parameters used in the baseline, best and worst scenario.</li> <li><strong>Plots</strong>: numerical values associated with figures 2, 3, and 4, as reported in the main manuscript.</li> </ul>
Dataset: The implications of microalgae biofuel production for the heavy-duty transport sector under planetary boundary perspective
<p><strong>Dataset of the article: </strong><em>"The implications of microalgae biofuel production for the heavy-duty transport sector under planetary boundary perspective"</em></p> <ul> <li>Selected results of the analysis are included in <strong>Microalgae biofuel results.zip</strong></li> </ul> <p><strong>Summary:</strong></p> <p>In this contribution, we study the extent to which 68 scenarios for microalgae biofuels could help the heavy-duty transport sector operate within planetary boundaries. The proposed scenarios are built considering a range of alternative configurations based on three types of fuel production processes (i.e., transesterification, hydrodeoxygenation and hydrothermal liquefaction), different carbon sources (such us a natural gas power plants and direct air capture), byproduct treatments, and two electricity mixes. Our results reveal that microalgae biofuels could significantly reduce the environmental and human health impacts of the business-as-usual (fossil-based) heavy-duty transport sector. Moreover, relative to standard biofuels that show large land-use requirements, we find that microalgae biofuels also decrease the damage on biosphere integrity substantially. Notably, pathways resorting to hydrodeoxygenation of microalgae oil and direct air capture and carbon storage could reduce the current impact induced globally on climate change by the heavy transport by 77%, while attaining six-fold reductions in biosphere integrity impacts, both relative to conventional biofuels. Simultaneously, microalgae-based biofuels can achieve impacts six times lower than conventional biofuels in biosphere integrity and 45% lower in human health.</p>
Trajectories for 'A Lagrangian view of the atmospheric river related to the heavy rainfall of July 2020 in Japan: Importance of moisture gain during transport''
<p>This is the trajectories output for the article 'A Lagrangian view of the atmospheric river related to the heavy rainfall of July 2020 in Japan: Importance of moisture gain during transport''.</p> <p>The settings for FLEXPART-WRF is also included.</p>
Trajectory Movie for the article 'A Lagrangian view of the atmospheric river related to the heavy rainfall of July 2020 in Japan: Importance of moisture gain during transport'
<p>The supplement movie for the article 'A Lagrangian view of the atmospheric river related to the heavy rainfall of July 2020 in Japan: Importance of moisture gain during transport'.</p>
A center of heavy PM2.5 pollution in the Yangtze River middle basin attributed to regional transport of PM2.5 over China
<p>The Multi-resolution Emission Inventory for China (MEIC) emission sources dataset and PM<sub>2.5</sub> datasets</p>
The Branched-Chain Amino Acid Transporter CD98 Heavy Chain Facilitates the Development of Colonic Macrophages Associated with Decreased Apoptosis in Macrophage Progenitors
GEO Series GSE126574. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
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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.