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3,709 results for “urbanization.”
Figure 1 from: Hornung E, Kásler A, Tóth Z (2018) The role of urban forest patches in maintaining isopod diversity (Oniscidea). In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 371-388. https://doi.org/10.3897/zookeys.801.22829
Figure 1 The arrangement of sample sites (23) in Buda, the western, hilly side of Budapest. The numbers indicate the sample sites (see Suppl. material 1). Symbols indicate rural (▲) and disturbed (●) habitats.
Figure 5 from: Hornung E, Kásler A, Tóth Z (2018) The role of urban forest patches in maintaining isopod diversity (Oniscidea). In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 371-388. https://doi.org/10.3897/zookeys.801.22829
Figure 5 Average Rarity Index (ARI) decreased with higher urbanisation (UI). Higher value of UI means increasing urbanisation. Numbers are habitat identifiers, see Fig. 1 and Suppl. material 1 (▲ – rural, ● – differently disturbed habitats).
Figure 4 from: Hornung E, Kásler A, Tóth Z (2018) The role of urban forest patches in maintaining isopod diversity (Oniscidea). In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 371-388. https://doi.org/10.3897/zookeys.801.22829
Figure 4 Hierarchical cluster analysis dendrogram showing two main groups (A and B) based on the species composition of isopod assemblages. Numbers on the top are the numbers (ID-s) of the sample sites (for IDs see Suppl. material 1).
The development and validation of an Inhomogeneous Wind Scheme for Urban Street, Part B: perpendicular CFD simulations
<p>The CFD simulation results of perpendicular scenerios.</p>
The development and validation of an Inhomogeneous Wind Scheme for Urban Street, part C: parallel CFD simulations
<p>The CFD simulation results of parallel scenerios.</p>
Fig. 4 in Larval Development And Habitat Usage Of Stream-Breeding Fire Salamanders In An Urban Environment
Fig. 4. Principal components analysis of stream substrate composition at 16 stream segments, "Hűvös-ér" stream. PC1 described a gradient from stream segments with a high % cover of fine gravel to segments with a high % cover of concrete. PC2 described a gradient from segments with a high % cover of sand to segments with a high cover of stones
How have South Australian urban planning policies affected Blakeview's surface temperatures? Data
<p>The attached data includes the study's Landsat Images and ERDAS models </p>
Operation SCADA Dataset of an Urban Small Wind Turbine in São Paulo, Brazil
<p>The dataset file contains data regarding the electrical and mechanical operational actual quantities and parameters obtained and recorded by the internal inverter controller of a Skystream 3.7 small wind turbine (SWT) installed on the roof of the High Voltage Laboratory at the Institute of Energy and Environment (IEE) of the University of Sao Paulo (USP), Brazil, recorded from 2017 to 2022.</p> <p>The main electrical parameters are the energy, voltages, and currents in the connection grid point and power frequency. Mechanical information can be retrieved, such as the rotation and the wind speed. The temperature, measured in some location points to the nacelle and inverter, is also recorded. Several other parameters concerning the SWT inverter operation, such as the dc voltages on its internal bus, alarms, and flags, are also presented.</p> <p>The files in the dataset are named as "data_swt_iee_usp_YYYY.csv" where YYYY is the referring year. In the files, the semicolon symbol (;) is used as a column separator, while the dot symbol (.) represents the decimal separator. The first row of the CSV file corresponds to the header row to help identify data as described in the file "data_description.txt". Sampling rate one record per minute.</p> <p>The first line on each year-based file represents the header table description of the data columns.</p> <p>The complete and detailed information about the installation, localization,and analysis is in the article published at: <a href="https://doi.org/10.3390/wind2040037">https://doi.org/10.3390/wind2040037</a></p> <h3><strong>LIST OS STATUS CODES - Skystream 3.7</strong></h3> <p><strong>Premise:</strong> Binary logic, where each status is represented by a specific bit within an integer value.</p> <table> <tbody> <tr> <th><strong>Numeric Code</strong></th> <th><strong>Turbine Status</strong></th> <th><strong>Grid Status</strong></th> <th><strong>System Status</strong></th> </tr> </tbody> <tbody> <tr> <td>0</td> <td>Normal. Run with energy generation</td> <td>Normal (No faults detected)</td> <td>Normal (System operating without errors)</td> </tr> <tr> <td>1</td> <td>Low Windspeed</td> <td>L1 Low Voltage</td> <td>HS Backoff</td> </tr> <tr> <td>2</td> <td>Braking</td> <td>L1 High Voltage</td> <td>SIP TX Too Long</td> </tr> <tr> <td>4</td> <td>Overspeed</td> <td>L2 Low Voltage</td> <td>Improper Reset</td> </tr> <tr> <td>8</td> <td>No Stall (Normal Operation)</td> <td>L2 High Voltage</td> <td>Battery Timeout</td> </tr> <tr> <td>16</td> <td>High Wind Test</td> <td>Offset Limit</td> <td>Drive Off</td> </tr> <tr> <td>32</td> <td>Anemometer mode</td> <td>Phase Error</td> <td>Slave Shutdown</td> </tr> <tr> <td>64</td> <td>Ramp</td> <td>Frequency Low</td> <td>Temp Shutdown</td> </tr> <tr> <td>128</td> <td>TSR Incr</td> <td>Frequency High</td> <td>High Temp</td> </tr> <tr> <td>256</td> <td>Power High</td> <td>DPLL Unlock</td> <td>Run (Normal Operation)</td> </tr> <tr> <td>512</td> <td>TSR Limit</td> <td>Grid Disconnect</td> <td>Disabled</td> </tr> <tr> <td>1024</td> <td>Quiet</td> <td>Anti-Islanding</td> <td>Waiting</td> </tr> <tr> <td>2048</td> <td>Incr Delay</td> <td> </td> <td>Temp Backoff</td> </tr> <tr> <td>4096</td> <td>RPM Control</td> <td> </td> <td>Bad Setpoints</td> </tr> <tr> <td>8192</td> <td>Vin High</td> <td> </td> <td>Bad CRC</td> </tr> </tbody> </table> <p> </p> <p><strong>These codes can represent cumulative causes, adding values when multiple causes occur.</strong></p> <p>EXAMPLES:</p> <p>Turbine status = 0 => Generating/Run</p> <p>Turbine status = 1 => Low Windspeed</p> <p>Turbine status = 3 => Low Windspeed and Braking</p> <p>Turbine status = 9 => Low Windspeed and No Stall</p> <p>Turbine status = 33 => Anemometer mode and Low Windspeed</p> <p>System status = 1024 => Waiting</p> <p>System status = 256 => Run</p> <p>Grid status = 512 => Grid Disconect</p>
Enhanced contribution of photooxidation to dicarboxylic acids in urban aerosols during the COVID-19 lockdown in Jinan, East China
<p>Diacids in Jinan</p>
Enhanced contribution of photooxidation to dicarboxylic acids in urban aerosols during the COVID-19 lockdown in Jinan, East China
<p>SOA in Jinan, East China.</p>
Heat exposure variations and mitigation in a densely populated neighborhood during a hot day: Towards a people-oriented approach to urban climate management
<p>Archive with PALM simulation results.</p>
Data for "Urbanization and a green corridor do not impact genetic divergence in common milkweed"
<p>This data for "Urbanization and a green corridor do not impact genetic divergence in common milkweed", a publication in preparation for submission (2/7/2023)</p>
Supplementary material 1 from: Barton DN (2023) Value 'generalisation' in ecosystem accounting - using Bayesian networks to infer the asset value of regulating services for urban trees in Oslo. One Ecosystem 8: e85021. https://doi.org/10.3897/oneeco.8.e85021
Bayesian Belief Network
FIGURE 5 in Discovery of Grouvellinus huaxiensis sp. nov. (Coleoptera: Elmidae) from the urban river Huaxi in Guiyang, China
FIGURE 5. Urban zonation around Huaxi river.
FIGURE 1 in Discovery of Grouvellinus huaxiensis sp. nov. (Coleoptera: Elmidae) from the urban river Huaxi in Guiyang, China
FIGURE 1. Dorsal habitus of Grouvellinus huaxiensis sp. nov. A. Male; B. Female.
Exploiting the potential of urban DAS grids: Ambient-noise subsurface imaging using joint Rayleigh and Love waves
<p>Ambient-noise cross-correlation functions used in this study.</p> <p>This work can be found at GitHub: <a href="https://github.com/NickJi98/DAS_Love_wave_2024_SRL.git" target="_blank" rel="noopener">https://github.com/NickJi98/DAS_Love_wave_2024_SRL.git</a></p>
Urban environments provide new perspectives for forecasting vegetation phenology responses under climate warming
<p>The temperature sensitivity of 343 cities in China</p>
Supplementary material 1 from: Nunes P, Robinet C, Branco M, Franco JC (2023) Modelling the invasion dynamics of the African citrus psyllid: The role of human-mediated dispersal and urban and peri-urban citrus trees. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 369-396. https://doi.org/10.3897/neobiota.84.91540
Supplementary tables
Model simulations utilizing the latest urban underlying surface and anthropogenic heat data
<p>Based on numerical simulations utilizing the latest urban underlying surface and anthropogenic heat data over the Yangtze River Delta urban agglomeration, we find that LU change and AH emission can result in opposite effects on summer precipitation. The related model simulations are included in this dataset.</p>
Abb. 5 in Die Allmend in Luzern: Urbaner Lebensraum einer artenreichen Fauna xylobionter Käfer (Coleoptera)
Abb. 5. Der Zweifleckige Pilzkäfer Dacne bipustula- ta (Thunberg, 1781) ist ein Pilzbewohner. Er bevor- zugt sonnenexponierte, trockenere Standorte. Die Larve entwickelt sich an zähfleischigen oder einge- trockneten Fruchtkörpern verschiedenster Porlinge, vorzugsweise an Laubholz. (Foto: J. Reibnitz)
ScienceDex guides
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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.