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1,121 results for “weathering”
Using weather radar to help minimize wind energy impacts on nocturnally migrating birds
<p>As wind energy rapidly expands worldwide, information to minimize impacts of this development on biodiversity is urgently needed. Here we demonstrate how data collected by weather radar networks can inform placement and operation of wind facilities to reduce collisions and minimize habitat-related impacts for nocturnally migrating birds. We found over a third of nocturnal migrants flew through altitudes within the rotor-swept zone surrounding the North American Great Lakes, a continentally important migration corridor. Migrating birds concentrated in terrestrial stopover habitats within 20-km from shorelines, a distance well beyond the current guidelines for construction of new land-based facilities, and their distributions varied seasonally and at local and regional scales, creating predictable opportunities to minimize impacts from wind energy development and operation. Networked radar data are available across the U.S. and other countries and broad application of this approach could provide information critical to bird-friendly expansion of this globally important energy source.</p>
Data from: Soil CO2 and O2 concentrations illuminate the relative importance of weathering and respiration to seasonal soil gas fluctuations
[No abstract entered]
Dataset - modelled CO2 emissions from tropical peat-draining rivers and coastal waters based on enhanced weathering scenarios.
<p>Dataset related to the manuscript "Destabilization of carbon in tropical peatlands by enhanced weathering" (DOI: <a href="https://doi.org/10.1038/s43247-022-00544-0">10.1038/s43247-022-00544-0</a>).</p> <p>Model runs for enhanced leaching of dissolved inorganic carbon (DIC) and of dissolved organic carbon (DOC) were conducted.</p> <p>Results include in-river carbon dioxide (CO2), DIC, DOC, oxygen (O2) and pH as well as CO2 emissions from rivers and from coastal waters.</p> <p>Main results are in "River_And_Coastal_Response_To_Enhanced_Weathering.xlsx".<br> Results for uncertainty study are in "River_And_Coastal_Response_To_Enhanced_Weathering_Uncertainty_Scenarios.xlsx".</p>
Evaluation of Grain size, Amorphous Fe-Mn Oxides, and Chemical Weathering Effects on Geochemical Identification of the Yangtze River and Yellow River Sediments
<p>The data of grain size of the Yangtze River and Yellow River sediments are given in ds01.xls. Trace and REEs in the HCl- and AC-residual size-differentiated components of the Yangtze River and Yellow River sediments are given in ds02.xls. Major elements in the AC-residual <5 µm fractions of the Yangtze River and Yellow River sediments are given in ds03.xls. Major, trace, and REEs in the HCl- and AC-leachable fractions of the Yangtze River and Yellow River sediments are given in ds04.xls.</p>
Supporting Information: DATA and CODE. Contrasted impacts of weather conditions in species sensitive to both survival and fecundity: a montane bird case study.
<p>This folder contains the R code (file “Rock_partridge_IPM.r “) of the integrated population model (IPM) used to study the population dynamics of the rock partridge in the French Alps, along with associated data (file “jags.data”). The integrated population model allowed us to model survival and breeding success (split in several steps) simultaneously. Data were collected by the French Office for Biodiversity (OFB) and the Observatory of mountain galliformes (OGM: <a href="https://www.observatoire-galliformes-montagne.com/">https://www.observatoire-galliformes-montagne.com/</a>). The “Read.me” file provides a detailed description of the different datasets. We also included values of the covariates used to study the influence of weather variation on survival and breeding success (files “covariates_survival”, “covariates_brood_size” and “covariates_brood_size_per_site”).</p>
Weathered Wooden Crate
Weathered wooden crate captured via photogrammetry. Source: Objaverse 1.0 / Sketchfab
a nice weathered plank and cement bench
plank and cement bench in Guttenberg NJ, sometimes used by skaters sometimes by old folks more often than not both at the same time Created with Polycam Source: Objaverse 1.0 / Sketchfab
Universal Rapid Weather Prediction Model (Sonagi Model) Korea Peninsula 5 Days Forecast Result (Pressure Isobar Map)
<p>Universal Rapid Weather Prediction Model (Sonagi Model) Korea Peninsula 5 Days Forecast Result (Pressure Isobar Map)</p> <p>Each file has its altitude in front of the name of the file, and by each isobar in map directs the air current heading higher or lower altitude. And rest of the name follows the target ed UTC time. Generally, iso-temperature lines are used to indicate where air flows, but it was simulatable in Sonagi model to where air is heading by pressure, so that pressure isobar is used to indicate where the air flows.</p> <p>Input data for the prediction in Universal Rapid Weather Prediction Model (Sonagi Model) is originated from GK2A satelite of Korea Meteorological Administration. (https://apihub.kma.go.kr/) For sharing the original prediction data, contact me at somehowme@gmail.com or flyingtext@nate.com (Prediction netCDF4 files are almost 16GB in sum total.)</p>
Universal Rapid Weather Prediction Model (Sonagi Model) Pacific Ocean 5 Days Forecast Result (Pressure Isobar Map)
<p>Universal Rapid Weather Prediction Model (Sonagi Model) Pacific Ocean 5 Days Forecast Result (Pressure Isobar Map)</p> <p>Each file has its altitude in front of the name of the file, and by each isobar in map directs the air current heading higher or lower altitude. And rest of the name follows the target ed UTC time. Generally, iso-temperature lines are used to indicate where air flows, but it was simulatable in Sonagi model to where air is heading by pressure, so that pressure isobar is used to indicate where the air flows.</p> <p>Input data for the prediction in Universal Rapid Weather Prediction Model (Sonagi Model) is originated from GK2A satelite of Korea Meteorological Administration. (https://apihub.kma.go.kr/) For sharing the original prediction data, contact me at somehowme@gmail.com or flyingtext@nate.com (Prediction netCDF4 files are almost 16GB in sum total.)</p>
Sulfites and Sulfates Formed by Weathering of Early Martian Carbonates in a Sulfur Dioxide-Bearing Atmosphere
<p>This data package contains the X-Ray diffraction (XRD) and infrared reflectance data acquired on the samples of carbonates altered in SO2/H2O or SO2/H2O/H2O2 atmospheres (pressure 0.8 bar, temperature 25C). The package also included pictures of the samples after alteration in the two simulated atmospheres. </p>
Mapping the exposure of tourism to weather extremes: The need for a spatially-explicit gridded dataset for disaster risk reduction
<p>This dataset contains the spatially-explicit gridded database based on social media data for over 150 different tourism-related classes that depicts tourism density (supply and demand) and perceived satisfaction in Europe, and the related exposure to selected climate extreme events. Information on tourism density (supply and demand) and perceived satisfaction are categorised for Attractions, Culinary, and Hospitality, while the exposure analysis of those clases are provided in separate, specific files. The provided dataset is made accessible to support large-scale and regional tourism research and extends its relevance to other fields that are part of tourism as a complex system, such as risk assessment and vulnerability studies. For citing this work, please refer to the research article "Mapping the exposure of tourism to weather extremes: The need for a spatially-explicit gridded dataset for disaster risk reduction", DOI 10.1088/1748-9326/ad3e91. Suggested citation: "Camatti, N., Hrast Essenfelder, A., & Giove, S. (2024). Mapping the exposure of tourism to weather extremes: The need for a spatially-explicit gridded dataset for disaster risk reduction. Environmental Research Letters."</p>
Weather data from the Macquarie University, Fauna Park Weather Station
<p>Dataset of the Barron Bee Lab weather station (temperature, relative humidity, wind speed, wing gust speed, wind direction, rainfall, barometric pressure) logged every 10 min from a station located at the Macquarie University Fauna Park, Sydney, New South Wales, Australia.</p>
Urban background sound recordings for virtual acoustics under various weather conditions at IHTApark
<p>This is an open database of calibrated background sound recordings with metadata on meteorological and acoustical parameters ready to be used in virtual reality applications, for soundsacpe studies.</p> <p>The soundscapes have been recorded at the IHTApark (green space next to the Institute for Hearing Technology and Acoustics) in Aachen (Germany) in winter and spring of 2022.</p> <p>They have been segemented into 30-seconds auralizable snippets.</p> <p>For an<strong> <a href="https://paad-group.github.io/IHTApark-ambient-recordings/" target="_blank" rel="noopener">interactive exploration</a></strong> of the soundscapes, please visit the follwing website:</p> <p><a href="https://paad-group.github.io/IHTApark-ambient-recordings/" target="_blank" rel="noopener"></a></p> <p><a href="https://paad-group.github.io/IHTApark-ambient-recordings/" target="_blank" rel="noopener">https://paad-group.github.io/IHTApark-ambient-recordings/</a></p> <p>The dabase is available as binaural files, first-order ambisonics files, and as omni files.</p> <p>The metadata is included as a .xlsx file.</p> <p> </p>
DIVINE Pilot 4 - On Farm - Davis Instruments Weather Station and IoT sensors Datasets - (June 23 - May 24)
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Code for GMD publication - Introducing Graupel Density Prediction in Weather Research and Forecasting (WRF) Double-Moment 6-Class (WDM6) Microphysics and Evaluation of the Modified Scheme During the ICE-POP Field Campaign
<p>Code for GMD publication - <span>Introducing Graupel Density Prediction in Weather Research and Forecasting (WRF) Double-Moment 6-Class (WDM6) Microphysics and Evaluation of the Modified Scheme During the ICE-POP Field Campaign</span></p> <p>In this repository, we include the source codes for WRF microphysics parameterization used in the GMD publication "Simulated Prognostic approach of graupel density in a bulk-type cloud microphysics scheme and evaluation during the ICE-POP field campaign."</p> <p>The revised WDM6 code, which predicts the graupel density and the original WDM6 code are uploaded. </p> <p>Each code is modified so that detailed microphysical processes can be found in wrfout.</p> <p>Namelist files shows the namelist.input for each case.</p> <p>Furthermore, scripts for figures in the manuscript are included, along with wrfout files.</p>
Data Archives - LAFORET et al - Silicate-sulfide interaction within quenched melts of space weathered Ryugu grains
<p>Contains STEM-EDXS raw data used in the paper Laforet et al. submitted in Meteoritics and Planetary Science</p> <p> </p>
Fire Weather Index for Europe from Downscaled and Bias-Corrected CMIP6 Model Outputs
<p>This dataset contains the Canadian Forest Fire Weather Index (FWI) calculated from six downscaled and bias-corrected CMIP6 model outputs. The models included are:</p> <ul> <li>ACCESS-CM2 (Ziehn et al. 2020)</li> <li>CanESM5 (Swart et al. 2019)</li> <li>CNRM-ESM2-1 (Séférian et al. 2019)</li> <li>EC-EARTH3 (EC-Earth Consortium 2019)</li> <li>MPI-ESM1-2-HR (von Storch et al. 2017)</li> <li>MRI-ESM2-0 (Yukimoto et al. 2019)</li> </ul> <p>The dataset encompasses four Shared Socio-economic Pathway (SSP) projections:</p> <ul> <li>SSP1-2.6</li> <li>SSP2-4.5</li> <li>SSP3-7.0</li> <li>SSP5-8.5</li> </ul> <p>Each model output has been downscaled to a resolution of 0.0703135°, corresponding to approximately 9km×9km grids before the FWI calculation. The data covers Europe spatially and temporally spans from 1950 to 2080, offering comprehensive insights into past, present, and future fire weather conditions.</p> <p>This dataset supports the manuscript titled <strong>"The fire weather in Europe: large-scale trends towards higher danger" </strong>by Hetzer et al., currently under review in ERL. Detailed instructions for accessing the data can be found in the included README file. </p> <p>Note: Downloads are password protected. Please use "FWI_2024" for access. </p> <p>Funding: The authors acknowledge the financial support of the European Union’s Horizon 2020 research and innovation action for the FirEUrisk project under grant agreement ID: 101003890.</p> <p> </p> <p> </p> <p> </p> <p> </p>
Records of chemical weathering and plateau saline lake sediments linked to paleoclimate fluctuations during the Eocene
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Dataset for the study "Deep Learning-Based Precipitation Simulation for Different Types of Weather Events in Eastern China"
<p>This dataset contains the data and codes used in the study "Deep Learning-Based Precipitation Simulation for Different Types of Weather Events in Eastern China". The resources will be updated continously.</p>
Pakistan Weather Data(API)
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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.