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1,121 results for “weathering”
Data for: Sub-zero temperatures and large-scale weather patterns induce tooth damage in Icelandic arctic foxes
<p><span>Tooth damage in carnivores can reflect shifts in both diet and feeding habits, and in large carnivores it is associated with increased bone consumption. Variation in tooth condition in Icelandic arctic foxes, a mesocarnivore, was recorded from 854 individual foxes spanning 29 years. We hypothesized that annual climatic variations, which can influence food abundance and accessibility, will influence tooth condition by causing dietary shifts toward less edible prey. We examined tooth condition in relation to four climatic predictors: mean annual winter temperature, indices of both the El Ni</span><span>ñ</span><span>o anomaly and North Atlantic subpolar gyre (SPG), and the number of rain-on-snow days (ROS). We found</span> unequivocal evidence for a strong effect of annual climate on tooth condition. <span>Teeth of Icelandic foxes were in better condition</span> <span>when </span>winter temperature<span>s were higher</span>, <span>when the </span><span>SPG</span><span> was </span>more positive, and <span>when the </span>number of <span>ROS was low. We also found </span>a substantial subregional effect with foxes from northeastern Iceland having lower tooth <span>damage</span> than those <span>from</span> <span>two</span> western sites. <span>Contradicting our original hypothesis that foxes</span> from northeastern Iceland<span>, </span>where <span>foxes are known to scavenge on </span>large mammal remains<span> (e.g., sheep and horses),</span> would show the highest tooth <span>damage, we suggest that</span> western <span>coastal </span>sites exhibited greater tooth <span>damage because</span> cold <span>winter</span> <span>temperatures </span>lower<span>ed</span> the availability of seabirds<span>,</span> causing a shift in diet toward <span>abrasive </span>marine subsidies <span>(e.g., bivalves) and </span>frozen beach wrack. <span>O</span>ur study shows that monitoring tooth breakage and wear can be a useful tool <span>for</span> evaluat<span>ing</span> the impact of climate on carnivore populations <span>and that climate change may influence the condition and fitness of carnivores in complex and potentially conflicting ways</span>.</p>
Data used in "A novel response priority framework for an urban coastal catchment using global weather forecasts-based improved flood risk estimates"
<p>The datasets used in "A novel response priority framework for an urban coastal catchment using global weather forecasts-based improved flood risk estimates" have been provided as rar files. Further details and instructions are provided in readme.txt in each folder of the rar file.</p>
Response of water isotopes in precipitation to a collapse of the West Antarctic Ice Sheet in high-resolution simulations with the Weather Research and Forecasting Model
<p>This archive includes data and ipython notebooks to create the figures for the manuscript "Response of water isotopes in precipitation to a collapse of the West Antarctic Ice Sheet in high-resolution simulations with the Weather Research and Forecasting Model" submitted to Journal of Climate in August 2022.</p> <p>Model output from WRFwiso and iCAM is in data.zip (saved as monthly means)</p> <p>Notebooks and python modules are in scripts.zip</p> <p>Required python packages (all included in environment.yml):</p> <ul> <li>numpy</li> <li>matplotlib</li> <li>netcdf4</li> <li>basemap</li> <li>scipy</li> <li>wrf-python</li> <li>windspharm</li> <li>metpy</li> <li>intergrid</li> <li>cmocean</li> </ul> <p>Version 1 is the original upload from the first submission.</p> <p>Version 2 includes small updates of the data and scripts from the revision.</p>
Recording of the STEREO-A space weather beacon with the Allen Telescope Array
<p>This dataset contains an IQ recording of the X-band 8443.5 MHz space weather beacon from STEREO-A, done with one of the antennas of the Allen Telescope Array. The recording was made as part of a demo for some GNU Radio tutorials for the Breakthrough Listen REU program.</p> <p>The recording was done with the spacecraft at around 9 million km from Earth, so the SNR is very good. Only one linear polarization (X, or horizontal) was recorded, using antenna 4g from the array.</p> <p>The hardware configuration was as follows: the antenna was connected to RFCB LO d, which was tuned to a frequency of 8443.54 MHz and used an output IF of 512 MHz. A USRP N321 digitized the X polarization. The USRP used an external 10 MHz reference and PPS coming from the observatory distribution system. The IQ sample rate of the USRP was 480 ksps, and a GNU Radio flowgraph was used to record IQ data to disk. The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers.</p> <p>After recording, the data was formatted using <a href="https://github.com/gnuradio/SigMF">SigMF</a>.</p>
Machine learning-based detection of weather fronts with DL-FRONT in CESM1.3
<p>These data are the results of detecting weather fronts with the machine learning algorithm DL-FRONT (see <a href="https://doi.org/10.5194/ascmo-5-147-2019">Biard and Kunkel 2019</a>) in simulations with the Community Earth System Model, version 1.3 (CESM1.3, see <a href="http://doi.org/10.1029/2019GL084057">Meehl et al. 2019</a>). The specific CESM1.3 simulations used here include: a historical climate simulation from 2000 to 2005, a simulation with Representative Concentration Pathway 2.6 (RCP2.6) forcing from 2006 to 2015, and a simulation with Representative Concentration Pathway 8.5 (RCP8.5) forcing from 2086–2100. See <a href="http://doi.org/10.1029/2022JD037038">Dagon et al. 2022</a> for a publication analyzing these machine learning detected weather fronts and associated extreme precipitation in historical and future climates.</p> <p>At each 3-hourly time step of simulation output over a North American spatial domain (10-77ºN, 171-31°W), DL-FRONT produced a set of spatial grids at 1° spatial resolution, for each of the five categories: cold front, warm front, stationary front, occluded front, and no front. Each cell in a spatial grid for a given category records the network-assigned probability (from 0.0 to 1.0) that the cell is in a weather front boundary region of that category (or, for the "no front" category, the probability that the cell is not in any weather front boundary region).</p> <p>The dataset contains three sets of files. The first set contains the original front probability maps. The second set contains "one hot" versions of the front probability maps. In the one hot version the five front-type probabilities for a spatial grid cell for a given time step are replaced by the value 1 for the largest front-type probability, and by 0 for the others. The third set contains front crossing rates (monthly, seasonal, annual) and climatologies/anomalies/standard deviations (monthly, seasonal) for each front type.</p> <p>The front probability files have names that follow the form cesm_fronts_<start_year>_<end_year>.nc for each simulation period. The one hot files have names that follow the form cesm_fronts__<start_year>_<end_year>_MaskedNetCDF_customgrid.nc. The rates files have names that follow the form cesm_fronts_<start_year>_<end_year>_frontRates_viaPolylines_customgrid.nc. For the one-hot and rates files, the historical and RCP2.6 simulation output have been combined into a single file.</p>
Datasets for Arctic weather variability and connectivity
<p>We provide the source data and Python codes for our paper "Arctic weather variability and connectivity".</p> <p> </p>
Electrical Alignment Signatures of Ice Particles before Intracloud Lightning Activity Detected by Dual-polarized Phased Array Weather Radar
<p>lightning data from LIDEN system and the data of the Dual-polarized Phased Array Weather Radar (DP-PAWR) on August 20, 2019. </p>
Capital weathered stone - Armor and Trophea
Capital weathered stone - Armor and Trophea, marble (18th century?). Christian the IV's Brew-House (Copenhagne, Denmark). Made of 40 pictures with MetaShape from Agisoft For more updates, please consider to follow me on Twitter at @GeoffreyMarchal. (https://twitter.com/GeoffreyMarchal) Source: Objaverse 1.0 / Sketchfab
Modelling of Correlation Between Emergency Department Admissions and Location-specific Air Quality and Weather in the Florence Urban Area
ClinicalTrials.gov study NCT06491290. IPD Sharing: NO. Countries: 1. Publications: 1.
Hot or Cold Beverages in Warm Weather
ClinicalTrials.gov study NCT05900960. IPD Sharing: NO. Countries: 1. Publications: 1.
Weather Sensitivity and the Effects of Walking in Nature on Stress Response of Individuals With Coronary Artery Disease
ClinicalTrials.gov study NCT06139705. IPD Sharing: NO. Countries: 1. Publications: 3.
Underlying data for: Influence of temporally varying weatherability on CO2-climate coupling and ecosystem change in the late Paleozoic
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Data from: Flowers of a South African succulent plant predict tomorrow’s weather, synchronizing flower opening with pollinator activity
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Data from: Weather-driven dynamics in a dual-migrant system: moths and bats
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Data from: Breeding phenological response to spring weather conditions in common Finnish birds: resident species respond stronger than migratory species
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Data on the Weather and Habitat and Representative results of qPCR and PCR
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Influence of climate, weather and floral associations on pollinator community composition across an elevational gradient
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Data from: A characterization of autumn nocturnal migration detected by weather surveillance radars in the northeastern US
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Does weather drive habitat use and movement of a non-migratory bird?
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Data for: Sub-zero temperatures and large-scale weather patterns induce tooth damage in Icelandic arctic foxes
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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.