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4 results for “canopy layer”
Data from the article "Modulation of wintertime canopy Urban Heat Island (CUHI) intensity in Beijing by synoptic weather pattern in planetary boundary layer"
<p>The link includes four datasets, "pcttype" is weather typing data, "pblh" is PBLH data, "uhii-UV" is the mean value of CUHII and wind direction UV of all urban stations, and "uhii-sws" is the value of CUHII, wind speed and wind direction of all urban stations.</p>
Practical Canopy for New York City - Data Layer and Summarized Results
<p><strong>Summary:</strong></p> <p>The files available here include a spatial data layer that represents the output of an analysis of opportunity for additional tree canopy in New York City (NYC) that considers factors that influence where trees can be planted and where canopy can grow, 'practical canopy,' as well as summaries of this data layer by NYC Borough, Community District, City Council District, and Neighborhood Tabulation Area. Links to a preprint and peer-reviewed paper describing the methods and context for this work are available below. The practical canopy layer is the result of a spatial model, and is thus an approximation based on available data and assumptions. See the associated materials for full discussion of limits and potential uses of this work.</p> <p>If you do not find what you are looking for here, contact Michael Treglia, Lead Scientist with The Nature Conservancy in New York, Cities Program, at michael.treglia@tnc.org.</p> <p> </p> <p><strong>Terms of Use</strong></p> <p>© The Nature Conservancy. This material is provided as-is, without warranty under a Creative Commons Attribution-NonCommercial-ShareAlike License as set forth in our Conservation Gateway Terms of Use (available at: <a href="http://conservationgateway.org/Pages/Terms-of-Use.aspx">http://conservationgateway.org/Pages/Terms-of-Use.aspx</a>)</p> <p>If using these data, please cite the both the <a href="https://www.frontiersin.org/articles/10.3389/frsc.2022.944823/full">peer-reviewed paper</a> and this set of data, based on the following recommended citations:</p> <p>Treglia, M. L., Piland, N. C., Leu, K., Van Slooten, A., & Maxwell, E. N. (2022). Understanding opportunities for urban forest expansion to inform goals: working toward a virtuous cycle in New York City. <em>Frontiers in Sustainable Cities</em>. 4:944823. doi: 10.3389/frsc.2022.944823</p> <p>Treglia, M. L., Piland, N. C., Leu, K., Van Slooten, A., & Maxwell, E. N. (2022). Practical Canopy for New York City—Data Layer and Summarized Results [Data set]. <em>Zenodo</em>. doi: 10.5281/zenodo.6547492</p> <p> </p> <p>The manuscript for this work is also available in a <a href="https://www.preprints.org/manuscript/202206.0106/v1">preprint</a>, with the following citation:</p> <p>Treglia, M. L., Piland, N. C., Leu, K., Van Slooten, A., & Maxwell, E. N. (2022). Understanding opportunities for urban forest expansion to inform goals: working toward a virtuous cycle in New York City. <em>Preprints</em>. 2022060106. doi: 10.20944/preprints202206.0106.v1</p> <p> </p> <p><strong>Contents</strong></p> <p><em><strong>nyc_practicalcanopy_datalayer.zip</strong></em> - Zipped folder with the practical canopy data layer that resulted from the work described in the associated preprint, as both GeoPackage (.gpkg) and Esri File Geodatabase (.gdb) files, with Data Dictionary files in .docx and .html formats. Both the .gpkg and .gdb files are zipped within the .zip file to save space, such that users may uncompress the format they prefer to use. The uncompressed .gdb file is nearly 3 gb; the uncompressed .gpkg file is about 10 gb.</p> <p><em><strong>nyc_practicalcanopy_summary_results.zip</strong></em> - Zipped folder summarized results of the practical canopy analysis by NYC Borough, Community District, City Council District, and Neighborhood Tabulation Area. Data are available as non-spatial .csv files and as both GeoPackage (.gpkg) and Esri File Geodatabase (.gdb) files; Data Dictionaries are included in both .docx and .html formats.</p>
Inconsistent Responses of Transpiration of Different Canopy Layers to Simulated Canopy and Understory N Depositions in a Low-subtropical Evergreen Broadleaf Forest
<p>These files contain the sup flux density, basal area transpiration, plot transpiration under different treatment and environmental factors collected in our studied sites.</p>
Model and observational dataset used in Tsiringakis, A. , Holtslag, A.A.M., Grimmond, S. and Steeneveld, G.J. Surface and atmospheric driven variability of the single-layer urban canopy model under clear sky conditions over London, Journal of Geophysical Research: Atmospheres
<p>This dataset contains:</p> <p>- Model output from the single-column version of the Weather Research and Forecasting model v3.8.1.</p> <p>- Observations from the KSSW tower (King's College London, United Kingdom) used for model evaluation.</p> <p>- The Single-column Urban Boundary Layer Inter-comparison Model Experiment (SUBLIME) case study description and external forcing file for the single-column version of Weather Research and Forecasting model.</p> <p>This dataset is used in :</p> <p>~Tsiringakis, A., Holtslag, A.A.M., Grimmond, S. and Steeneveld, G.J. Surface and atmospheric driven variability of the single-layer urban canopy model under clear sky conditions over London. Journal of Geophysical Research: Atmospheres</p>
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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.