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1,079 results for “source data”
Source Data Transdisciplinary Complexity Science Review
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Source data of "Self-pressurizing nanocatalytic capsules for CO2 electroreduction to acetate or propanol"
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Western Blot and Gel source data
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Data for grain boundaries are not the source of Urbach tails in the CIGSe
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Mosberger et al., 2024, Source Data and Code
<p>Source Data and Code:</p> <p><a href="https://doi.org/10.1016/j.celrep.2024.113958">https://doi.org/10.1016/j.celrep.2024.113958</a></p>
Source Data for "Atomic-Precision Control of Plasmon-Induced Single-Molecule Switching in a Metal-Semiconductor Nanojunction" and Supplementary Information
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Source code and data for Osetrova et al. paper "Lipidome atlas of the adult human brain"
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source data
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Source Data for "Explainable El Niño predictability from climate mode interactions"
<p>This repository include the figure source data for the paper "<a href="https://doi.org/10.1038/s41586-024-07534-6">Explainable El Niño predictability from climate mode interactions</a>" (Zhao et al. 2024).</p> <p>Zhao, S., Jin, F.-F., Stuecker, M. F., Thompson, P. R., Kug, J.-S., McPhaden, M. J., Cane, M.A., Wittenberg, A.T., Cai, W., (2024). Explainable El Niño predictability from climate mode interactions. <em>Nature</em>. <a href="https://doi.org/10.1038/s41586-024-07534-6">https://doi.org/10.1038/s41586-024-07534-6</a></p> <p><strong>Files</strong>:</p> <p>SourceDataFig1 for Figure 1</p> <p>SourceDataFig2 for Figure 2</p> <p>SourceDataFig3 for Figure 3</p> <p>SourceDataFig4 for Figure 4</p> <p>SourceDataFig5 for Figure 5</p> <p> </p>
Data of industrial heat source between 2012 and 2021 using long-term Active Fire/Hotspot data in China
<p>Industrial heat sources serve as crucial indicators of energy consumption levels and air pollution. Energy-intensive industries are facing substantial challenges in transforming and upgrading in China. Therefore, accurately identifying industrial heat source locations and monitoring their temporal patterns are becoming utmost importance. In this study, a long-term industrial heat source datasets between 2012 and 2021 in China using long-term Active Fire/Hotspots (ACF) data has been constructed to monitor and analyze large-scale industrial heat sources. Firstly, density segmentation method based on an improved k-means algorithm using long-term ACF data and spatial topological correlation analysis was conducted to build industrial heat sources. Then, 4410 industrial heat sources were obtained between 2012 and 2021 in China, with an identification accuracy of 95.08% by manual verification using high-resolution remote sensing images and point of interest (POI) data. Finally, the trend in the spatio-temporal variation of industrial heat sources was analyzed using long-term series. The results from 2012 to 2021 showed that the spatial distribution of industrial heat sources in China exhibits local aggregation and a gradual shift from east to west.And,the number of industrial heat sources in China has followed a trend of an initial increase from 2012 to 2014, followed by a decrease since 2014, consistent with national energy reform-related policies.The result of this study indicated the temporal variation of industrial heat sources, enhanced the accuracy of fire points category identification, and demonstrated potential for advancing energy efficiency, emission reduction, and sustainable development in China.</p>
source data for "Dissecting the role of hydroxyl moiety at C14 in (+)-opioid based TLR4 antagonists via wet-lab experiments and molecular dynamics simulations"
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A Global Lakes/Reservoirs Surface Extent Dataset (GLRSED): An integration of multi source data
<p>Global lake/reservoir surface water extent is the basic input data for many studies. Although there are some datasets at present, there are problems such as incomplete or spatial inconsistency exist among them due to various reasons like different data sources and dynamic change characteristics of the surface water. Here, a new Global Lake/Reservoir Surface Extent Dataset (GLRSED) that contains spatial extent and basic attributes (e.g., name, area, lake type and source) of 2.17 million lakes/reservoirs was produced based on HydroLAKES, GRanD and OpenStreetMap. By spatially overlaying GLRSED with other auxiliary data, we identified lake<span>s</span>/reservoir<span>s located in </span>mountain, glacier and permafrost <span>region</span>s, etc. In addition, we calculated the Surface Water and Ocean Topography (SWOT) orbits passing through each lake/reservoir. The dataset could provide basic data for global lake/reservoir monitoring, as well as the study on the impact of human actions and climate changes on lake/reservoir freshwater availability, etc.</p>
Data and scripts for: Site-level connectivity identified from multiple sources of movement data to inform conservation of a migratory bird
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Data from: Assessing urban-scale spatiotemporal heterogeneous metro station coverage using multi-source mobility data
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Supporting data to "Open-source, low-cost, in-situ turbidity sensor for river network monitoring"
<p>This folder contains the Supporting Dataset that is part of the Manuscript "Open-source, low-cost, in-situ turbidity sensor for river network monitoring."</p>
Figure 3 - source data 2
<p>Trace images and source data for two-electrode voltage clamp experiments.</p>
Source Data
<p><a href="https://zenodo.org/api/files/f488209a-efdd-42c9-a920-ac6233e175d8/Source%20Data.rar?versionId=382381fc-bc09-4bb6-9596-1388c26d6a28">Source Data</a></p>
Source code and data for Ou et al. (2021) Updates to Paris climate pledges improve chances of limiting global warming to well below 2°C
<p>There are two folders in this repository. The <strong>GCAM-model</strong> folder contains the version of GCAM5.3 used to estimate emission pathways for this analysis. The <strong>data</strong> folder contains source data for our main results. Please check readme.pdf and our original paper for details. </p> <p> </p> <p> </p>
Source code and data from informed dispersal model on range expansion
<p>In those files, you can find the source code to run the model and the R codes to process the data and create the figures</p>
Raw data for Orostica et al "Open-Source Incubator for DNA Assembly Reactions"
<p>Raw data for the manuscript "Open-Source Incubator for DNA Assembly Reactions"</p>
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.