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9,882 results for “Scale”
The dataset of city-scale EVCS planning platform
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Datasets and Codes - Toward improved representation of reservoir operation at the larger scales: The role of calibration, the trade-off between reservoir release and storage, and the issue of error accumulation in long-term simulations
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Code for paper 'Advances in Surface Water and Ocean Topography for Fine-Scale Eddy Identification from Altimeter Sea Surface Height Merging Maps'
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FIGURE 31. A–D Hapalosiphon welwitschia. Scale bars A–B in Freshwater Cyanobacteria of North-Eastern Australia: 3. Nostocales
FIGURE 31. A–D Hapalosiphon welwitschia. Scale bars A–B =20 μm, C–D = 50 μm
FIGURE 73. A–F Heteroscytonema crispum. Scale bars A–D, F in Freshwater Cyanobacteria of North-Eastern Australia: 3. Nostocales
FIGURE 73. A–F Heteroscytonema crispum. Scale bars A–D, F = 20 μm, E = 50 μm
FIGURE 51. A–D Nostoc verrucosum. Scale bars A–B in Freshwater Cyanobacteria of North-Eastern Australia: 3. Nostocales
FIGURE 51. A–D Nostoc verrucosum. Scale bars A–B = 20 μm, C–D = 50 μm
LCMDC: Large-scale Chinese Medical Dialogue Corpora for Automatic Triage and Medical Consultation
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Micro-Loans, Macro-Impacts: Examining the Reverberating Gains for Habru Woreda's Small-Scale Agrarian Households.
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Exploring Protein Conformational Changes Using a Large-scale Biophysical Sampling Augmented Deep Learning Strategy
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The Examining Validity and Reliability of the Prosocial Behavior Scale: Insights from an Indonesian Sample
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A General Optimization Model for Coupling Topology and Nodal Coordinates in Large-Scale Biorthogonal Tensegrity Structures
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FIGURE 2 in A new species of the soft scale insect genus Pulvinaria Targioni Tozzetti (Hemiptera: Coccomorpha: Coccidae) on Rhododendron spp. in Northern Europe
FIGURE 2. Pulvinaria rhododendri Kahrer & Hodgson, sp. nov., adult female.
Carbon dioxide removal could perpetuate community-scale inequalities in health impacts of U.S. air pollution
<p>Data for paper titled "Carbon dioxide removal could perpetuate community-scale inequalities in health impacts of U.S. air pollution". Corresponding code is in GitHub (https://github.com/CandeBergero/CDR_PM2.5_distribution_paper). Download, unzip, and replace the three folders from here into the GitHub repository. Additionally, folder "output_data" can be used to run code to generate paper figures without having to rerun all previous code.</p>
Exploring the atomic-scale dynamics of Fe3O4(001) at catalytically relevant temperatures using FastSTM
<p>This dataset contains STM images and FastSTM movies of a bare Fe3O4(001) surface at elevated temperatures. We include the raw data, converted movies and log-files, which contain the parameters that have been used for FastSTM movie processing with the software PyfastSPM [1].</p> <p> </p> <p>[1] Briegel, K.D., Riccius, F., Filser, J., Bourgund, A., Spitzenpfeil, R., Panighel, M., Dri, C., Lechner, B.A.J., Esch, F., SoftwareX, 2023, 21, 101269.</p> <p> </p> <p> </p>
Undirected scale-free graphs for cluster-BFS
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A Multi-Scale Neuron Morphometry Dataset from Peta-voxel Mouse Whole-Brain Images
<p><span>Neuron morphology and sub-neuronal patterns offer vital insights into cell typing and the structural organization of brain networks. The community-collaborative BRAIN Initiative Cell Census Network (BICCN) project has yielded a vast amount of whole-brain imaging data. However, reconstructing multi-scale neuron morphometry at a whole-brain scale requires not only the integration of diverse hardware devices, tools, and algorithms but also a dedicated production workflow. To address these challenges, we developed a cloud-based, collaborative platform capable of handling peta-scale imaging data. Using this platform, we generated the largest multi-scale morphometry dataset from hundreds of sparsely labeled mouse brains. The morphometry dataset comprises 182,497 annotated cell bodies, 15,441 locally traced morphologies, and 1,876 fully reconstructed morphologies. We also identified sub-neuronal arborizations for both axons and dendrites, along with the primary axonal tracts connecting them. In addition, we identified 2.63 million putative boutons. All morphometric data were registered to the Allen Common Coordinate Framework (CCF) atlas. The morphometry dataset has proven to be an invaluable resource for whole-brain cross-scale morphological studies in mouse.</span></p>
Data of the article "Predicting the 2023/24 El Niño from a multi-scale and global perspective" that published in Communications Earth & Environment
<p>MATLAB data of the article "Predicting the 2023/24 El Niño from a multi-scale and global perspective" that published in Communications Earth & Environment.</p> <p>The article is available on the Communications Earth & Environment at <a title="Predicting the 2023/24 El Niño from a multi-scale and global perspective" href="https://www.nature.com/articles/s43247-024-01867-w">https://www.nature.com/articles/s43247-024-01867-w</a>.</p> <p>These data include ocean temperature, current, atmosphere wind, pressure, precipitation, heat flux, and more, that from reanalysis data and coupled model outputs. Additionaly, there are four figures of the article.</p> <p>The related MATLAB codes can be accessed from <a href="https://github.com/HRKsince1993/COMMSENV-24-1347.git">https://github.com/HRKsince1993/COMMSENV-24-1347.git</a></p> <p>If these data are helpful to you, please cite our article or acknowledge us in your publication, e. g.</p> <p>Hu, R. <em>et al.</em> Predicting the 2023/24 El Niño from a multi-scale and global perspective. <em>Commun. Earth Environ.</em> <strong>5</strong>, 675 (2024). </p> <p>If you have any questions, please contact Tao Lian (<a href="mailto:liantao@sio.org.cn">liantao@sio.org.cn</a>) and/or Dake Chen (<a href="mailto:dchen@sio.org.cn">dchen@sio.org.cn</a>) and/or me.</p> <p> </p> <p>Best wishes</p> <p>Ruikun Hu</p> <p>Ph.D of physical oceanography</p> <p>State Key Laboratory of Satellite Ocean Environment Dynamics,</p> <p>Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China</p> <p><a href="mailto:ruikunhu@sio.org.cn">ruikunhu@sio.org.cn</a></p> <p>October 18, 2024</p> <p>Updated on November 8, 2024</p>
Linked collectors and determiners for: Revision of the soft scale genus Paralecanium (Hemiptera: Coccomorpha: Coccidae) with the introduction of three new genera and twenty new species.
Natural history specimen data linked to collectors and determiners held within, "Revision of the soft scale genus Paralecanium (Hemiptera: Coccomorpha: Coccidae) with the introduction of three new genera and twenty new species". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/fb772898-fe24-438e-9a4a-1a98c5b393a8">https://bionomia.net/dataset/fb772898-fe24-438e-9a4a-1a98c5b393a8</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/fb772898-fe24-438e-9a4a-1a98c5b393a8">https://gbif.org/dataset/fb772898-fe24-438e-9a4a-1a98c5b393a8</a>. Formatted as a Frictionless Data package.
Dataset for: Magnetic Mineralogy and Paleomagnetic Record of the Nama Group: Implications for Large-Scale Remagnetization of West Gondwanaland and Ediacaran Geomagnetic Instability
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Dataset used for the paper entitled: Large-scale water quality patterns across Portugal using a long-term nationwide dataset (1970-2024)
<p>This repository contains the dataset and plots generated for the paper described above, which are listed below</p> <ol> <li>Dataset: <ol> <li>Folder: dataset.zip</li> <li>File format: NPY (standard binary file format in NumPy/Python for NumPy arrays) </li> </ol> </li> <li>Plots: <ol> <li>Folder: HTML_plots.zip</li> <li>File format: HTML (for interactive exploring and broad accessibility)</li> </ol> </li> <li>Basins interception with Landuse: <ol> <li>Folder: basin_LU_intersect.zip</li> <li>File format: NPY (standard binary file format in NumPy/Python for NumPy arrays) </li> </ol> </li> </ol>
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.