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514 results for “meteorological data”
Meteorological Data from Kardamyla, Chios: July 2024 Baseline Measurements for the MUSICA Project
<p>The analysis of climatological data is crucial for understanding weather patterns in a region. July 2024 was characterized by intense summer conditions in Kardamyla, featuring hot days, minimal rainfall, and steady winds. The following data, collected throughout the month, provides valuable insights into the observed weather phenomena.</p> <h4><strong>Temperature:</strong></h4> <ul> <li>Average temperature: <strong>28.7°C</strong>.</li> <li>Highest temperature: <strong>37.8°C</strong> on July 18.</li> <li>Lowest temperature: <strong>18.9°C</strong> on July 2.</li> <li>Days with temperatures ≥ 32°C: <strong>26 days</strong>.</li> </ul> <h4><strong>Rainfall:</strong></h4> <ul> <li>Total rainfall: <strong>4.8 mm</strong>, all recorded on July 4.</li> <li>Days with rainfall > 0.2 mm: <strong>1 day</strong>.</li> </ul> <h4><strong>Wind:</strong></h4> <ul> <li>Average wind speed: <strong>6.0 km/h</strong>.</li> <li>Maximum wind speed: <strong>48.3 km/h</strong> on July 3.</li> <li>Dominant wind direction: <strong>North (N)</strong>.</li> </ul> <h4><strong>Conclusion:</strong></h4> <p>July was marked by hot temperatures with notable peaks, limited rainfall, and steady winds primarily from the north. The region experienced intense thermal conditions, especially after mid-July, reinforcing the image of a dry and hot summer.</p>
Meteorological Data from Chios: July 2024 Baseline Measurements for the MUSICA Project
<p>July 2024 presented intense summer conditions in Chios Town, with persistent high temperatures, no rainfall, and steady winds. The data collected throughout the month showcases the extreme summer weather experienced in the region.</p> <h4><strong>Temperature:</strong></h4> <ul> <li>Average temperature: <strong>30.4°C</strong>.</li> <li>Highest temperature: <strong>39.0°C</strong> on July 18.</li> <li>Lowest temperature: <strong>22.1°C</strong> on July 3 and 4.</li> <li>Days with temperatures ≥ 32°C: <strong>28 days</strong>.</li> </ul> <h4><strong>Rainfall:</strong></h4> <ul> <li>Total rainfall: <strong>0.0 mm</strong>.</li> <li>Days with rainfall: <strong>None</strong>.</li> </ul> <h4><strong>Wind:</strong></h4> <ul> <li>Average wind speed: <strong>10.9 km/h</strong>.</li> <li>Maximum wind speed: <strong>54.7 km/h</strong> on July 6, 9, and 15.</li> <li>Dominant wind direction: <strong>North (N)</strong>.</li> </ul> <h4><strong>Conclusion:</strong></h4> <p>July was characterized by extremely high temperatures, no precipitation, and persistent winds from the north. This weather profile reinforces the intensity of summer in the region, highlighting the need for heat and wind monitoring during such periods.</p>
Meteorological Data from Kardamyla, Chios: November 2024 Baseline Measurements for the MUSICA Project
<p>November 2024 exhibited a clear shift to winter conditions in Kardamyla. With lower temperatures, increased rainfall, and occasionally strong winds, the month marked a transition to cooler weather. The following analysis provides detailed insights into the climatic trends observed during November.</p> <h4><strong>Temperature:</strong></h4> <ul> <li>Average temperature: <strong>14.4°C</strong>.</li> <li>Highest temperature: <strong>23.1°C</strong> on November 21.</li> <li>Lowest temperature: <strong>4.7°C</strong> on November 25 and 27.</li> <li>Days with temperatures ≥ 32°C: <strong>0 days</strong>.</li> </ul> <h4><strong>Rainfall:</strong></h4> <ul> <li>Total rainfall: <strong>51.2 mm</strong>.</li> <li>Maximum daily rainfall: <strong>17.2 mm on November 16</strong>.</li> <li>Days with rainfall > 0.2 mm: <strong>10 days</strong>.</li> </ul> <h4><strong>Wind:</strong></h4> <ul> <li>Average wind speed: <strong>8.6 km/h</strong>.</li> <li>Maximum wind speed: <strong>70.8 km/h</strong> on November 21.</li> <li>Dominant wind direction: <strong>North (N)</strong>.</li> </ul> <h4><strong>Conclusion:</strong></h4> <p>November brought significant changes, with cooler temperatures and consistent rainfall, signaling the onset of winter. Strong winds from the north occasionally dominated, reflecting the more dynamic weather patterns typical of the season.</p>
Meteorological Data from Kardamyla, Chios: September 2024 Baseline Measurements for the MUSICA Project
<p>September 2024 marked the transition from the intense heat of summer to milder conditions. Significant rainfall was recorded, including one day of heavy precipitation, while temperatures remained relatively moderate. The data provides insights into the climatic behavior of the region during this month.</p> <h4><strong>Temperature:</strong></h4> <ul> <li>Average temperature: <strong>23.9°C</strong>.</li> <li>Highest temperature: <strong>32.8°C</strong> on September 5.</li> <li>Lowest temperature: <strong>14.1°C</strong> on September 25 and 26.</li> <li>Days with temperatures ≥ 32°C: <strong>3 days</strong>.</li> </ul> <h4><strong>Rainfall:</strong></h4> <ul> <li>Total rainfall: <strong>62.8 mm</strong>.</li> <li>Days with rainfall > 0.2 mm: <strong>3 days</strong>.</li> <li>Day with maximum rainfall: <strong>62.2 mm on September 11</strong>.</li> </ul> <h4><strong>Wind:</strong></h4> <ul> <li>Average wind speed: <strong>6.5 km/h</strong>.</li> <li>Maximum wind speed: <strong>53.1 km/h</strong> on September 10 and 13.</li> <li>Dominant wind direction: <strong>Northwest (NNW)</strong>.</li> </ul> <h4><strong>Conclusion:</strong></h4> <p>September exhibited milder temperatures compared to the preceding months, with significant rainfall on September 11 distinguishing it from the dry summer. Winds remained steady, predominantly from the northwest, emphasizing the seasonal shift.</p>
Meteorological Data from Kardamyla, Chios: October 2024 Baseline Measurements for the MUSICA Project
<p>October 2024 reflected the gradual shift to autumn conditions in Kardamyla. With cooler temperatures, no rainfall, and steady winds predominantly from the north, the month was characterized by stable weather patterns. Below is an analysis of the observed data for October, shedding light on the climatic trends of the region.</p> <h4><strong>Temperature:</strong></h4> <ul> <li>Average temperature: <strong>19.9°C</strong>.</li> <li>Highest temperature: <strong>30.1°C</strong> on October 6.</li> <li>Lowest temperature: <strong>9.2°C</strong> on October 27 and 28.</li> <li>Days with temperatures ≥ 32°C: <strong>0 days</strong>.</li> </ul> <h4><strong>Rainfall:</strong></h4> <ul> <li>Total rainfall: <strong>0.0 mm</strong>.</li> <li>Days with rainfall: <strong>None</strong>.</li> </ul> <h4><strong>Wind:</strong></h4> <ul> <li>Average wind speed: <strong>8.6 km/h</strong>.</li> <li>Maximum wind speed: <strong>53.1 km/h</strong> on October 17.</li> <li>Dominant wind direction: <strong>North (N)</strong>.</li> </ul> <h4><strong>Conclusion:</strong></h4> <p>October marked the end of the dry season, with mild to cool temperatures and no rainfall. The north winds remained dominant, often reaching significant speeds, reflecting the stable yet shifting weather patterns typical for autumn in Kardamyla.</p>
Meteorological Data from Kardamyla, Chios: August 2024 Baseline Measurements for the MUSICA Project
<p>August 2024 continued the trend of high temperatures but with slightly milder intensity compared to July. The absence of rainfall, consistent winds, and ongoing drought painted a typical summer landscape for Kardamyla. The following data reflects the weather conditions observed during the month.</p> <h4><strong>Temperature:</strong></h4> <ul> <li>Average temperature: <strong>27.6°C</strong>.</li> <li>Highest temperature: <strong>37.1°C</strong> on August 15.</li> <li>Lowest temperature: <strong>18.4°C</strong> on August 2.</li> <li>Days with temperatures ≥ 32°C: <strong>18 days</strong>.</li> </ul> <h4><strong>Rainfall:</strong></h4> <ul> <li>Total rainfall: <strong>0.0 mm</strong>.</li> <li>Days with rainfall: <strong>None</strong>.</li> </ul> <h4><strong>Wind:</strong></h4> <ul> <li>Average wind speed: <strong>5.6 km/h</strong>.</li> <li>Maximum wind speed: <strong>43.5 km/h</strong> (observed twice, on August 10 and 24).</li> <li>Dominant wind direction: <strong>North (N)</strong>.</li> </ul> <h4><strong>Conclusion:</strong></h4> <p>August maintained typical summer conditions with hot days, clear skies, and mostly northern winds contributing to a sense of coolness. The absence of rainfall highlights the need to monitor drought conditions that may impact the region.</p>
Cariboo Alpine Mesonet meteorological data, 2017-2021
<p>This is a dataset of time series of meteorological variables collected at 15 minute intervals at 22 sites across the Quesnel, upper Fraser and Nechako watersheds. Among meteorological variables measured are air, near-surface air/snow and soil temperatures, relative humidity, snow depth, atmospheric pressure, precipitation, solar radiation, wind speed and direction. The database also contains rainfall and air temperature data collected in a network of tipping bucket rain gauges deployed in the upper Nechako Watershed. Data are provided in comma-delimited format with one file for each site. Each file name identifies the site location and they are numbered chronologically. The first column contains the date/time (PDT) in the format MM/DD/YEAR HH:MM. The next column is typically the battery voltage, and the following columns are the meteorological data at 15 minute intervals. Column headers provide the variable names and their units, in addition to the height at which the instruments are set up above ground or depths within soils. The last set of columns contains a recommended flag for data quality with "P" representing a "pass", and "F" denoting a "fail". A document in the main directory provides details on the quality assurance/control (QA/QC) process. Missing data or not-applicable information are denoted by "NaN" or "NA", respectively. Additional metadata, instrument specifications and legends are provided in a Word document for each site. A diagram in the main directory provides the temporal availability for each site for 2017-2021. </p> <p>The time series for the tipping bucket rain gauges are set up in a similar way with date/timestamp in the first column, the second column air temperature (degrees Celsius), and the third column cumulative rainfall (mm). Blank cells for rainfall indicate zero values or missing data. Tipping bucket rain gauges are not shielded nor heated, and therefore not designed to measure snowfall. Data for two sites, Kasalka Creek and Laventie Creek, are not yet available due to animal disturbance during the first data collection effort. </p>
Madrid datasets (air quality, meteorological and traffic data)
<p>The datasets consist of air quality, meteorological, and traffic data from January to June 2019 and from January to June 2020. The following are the features of the datasets: Nitrogen dioxide, Wind speed, Wind direction (u component, v component, north, northeast, east, southeast, south, southwest, west, northwest), Pressure, Temperature, Humidity, Solar irradiance, Intensity, Occupancy time, Load, Average traffic speed.</p>
Ground obeservation data (meteorological factors and air pollution) in Greater Bay Area, 2015 - 2021
<p>Ground observation data used in the paper <em>Development of an LSTM-Broadcasting deep-learning framework for regional air pollution forecast improvement</em>.</p>
data for "Capturing synoptic-scale variations in surface aerosol pollution using deep learning with meteorological data"
<p>data for "Capturing synoptic-scale variations in surface aerosol pollution using deep learning with meteorological data"</p>
Data from: Meteorological Controls on Reversible Resonance Changes in Natural Rock Arches
<p>Meteorological data collected at rock arch sites concurrently with ambient seismic data (hosted separately by the IRIS Data Management Center, <a href="https://doi.org/10.7914/SN/5P_2013">https://doi.org/10.7914/SN/5P_2013</a>). All sites, except Aqueduct Arch, consist of temperature data (air and rock) recorded at 1- or 5-min intervals by portable HOBO U23 Pro v2 sensors, with measurements lasting from 10 hours to 96 hours and trimmed to match the time window of the seismic data.</p> <p>Air temperature was recorded by mounting the sensor in nearby vegetation to keep the sensor above the ground surface. Rock temperature was recorded on two separate sensors, which were placed against the bedrock surface and covered by a rock to provide shading and coupling. Analysis performed using rock temperature used the average of the two sensors. Several sites lack air temperature data.<br> <br> At Aqueduct Arch, a solar-powered HOBONet weather station recorded data from February 2017 - May 2018 at 15-minute intervals. The recorded quantities were: air temperature, rock temperature (recorded via a sensor embedded 2 cm into the bedrock), wind speed and direction, relative humidity, and precipitation.</p>
[Data] Earliest meteorological readings in San Fernando (Cádiz, Spain)
<p>Daily, monthly and weekly meteorological observations recorded at the Royal Observatory of the Spanish Navy (located in San Fernando, Cádiz) during the period 1799-1813.</p>
Estimating net carbon balances and greenhouse gas radiative balances of potato and pea crops on a conventional farm in western Canada (Flux and meteorological data)
<p>Data accompanying the paper titled as "Estimating net carbon and greenhouse gas balances of potato and pea crops on a conventional farm in western Canada". Data includes measurements from eddy covariance, chamber, and meteorological sensors. Measurements were mainly conducted in 2018 and 2019, please refer to the paper for the detailed information.</p>
Meteorological and Ecosystem Flux Data for: Climate Change Impacts on Net Ecosystem Productivity in a Subtropical Scrubland of Northwestern México
<p>This dataset accompains the paper: Climate Change Impacts on Net Ecosystem Productivity in a Subtropical Scrubland of Northwestern México which is submitted for publication at the Journal of Geophysical Research - Biogeosciences </p> <p>With this data set, we calibrate and validate an ecohydrological and a soil carbon model to assess climate change impacts in a subtropical scrubland located in northwest México. Model calibration and validation is performed using five continuous years of water, energy and carbon flux measurements from an eddy covariance tower and remotely-sensed vegetation indices. </p>
Eddy covariance data of lower-cost and conventional setups and meteorological data, Wendhausen 2022 campaign
<p>Eddy covariance fluxes, together with ancillary meteorological data, spectra, stability and turbulence parameters, corresponding to the measurement campaign conducted in Wendhausen, Lehre, Lower Saxony (Germany) in 2022. The results were presented in the paper <em>Comparison between lower-cost and conventional eddy covariance set-ups for CO2 and evapotranspiration measurements above monocropping and agroforestry systems</em>, <a href="https://dx.doi.org/10.2139/ssrn.4632023" target="_blank" rel="noopener">http://dx.doi.org/10.2139/ssrn.4632023</a>.</p> <p>Spectra and co-spectra were averaged as presented in the paper. Flux data are not filtered or quality checked in these files, but the procedure followed for that is described in the paper as well.</p>
Kenguruji Arnes Hackathon 2024 - Meteorological Data
<p>Hydrological data for Kenguriji team at Arnes Hackathon 2024. The same data are also available in our repository at <code><a href="https://github.com/p1rko/ArnesHackathonKenguruji/tree/wip-models/dataset/meteo" target="_blank" rel="noopener">dataset/meteo</a></code>. Data were obtained from <a href="https://meteo.arso.gov.si/met/sl/archive/" target="_blank" rel="noopener">ARSO archive</a> using a script in our repository.</p>
Considerations for high-resolution regional meteorological wind modelling over complex terrain: a typhoon case study for assessing forestry damage (data)
<p>This is the experiment data.</p> <p>The Weather Research and Forecasting (WRF) model is a popular and easily used as a numerical weather prediction (NWP) model, but configuring WRF to produce accurate results can be time-consuming. This is especially so when simulating extreme events, over complex terrain, or at high resolutions. In this study, a strong wind event from Tropical Cyclone (TC) Thad in year 1981 was simulated at 200 m resolution over an experiment forest in a mountainous region of Hokkaido island, Japan. The simulation configuration is challenging, in order to cover a larger area to produce a TC with appropriate track and intensity, and at the same time to resolve the smallest domain of sub-km grid spacing with computational stability. A mixed nesting method was applied with two-way nesting up for the first three domains, followed a separate simulation over the smallest domain. The mixed method could produce 10 min wind speed distributions similar to that of the full simulation with two-way nesting of all four domains, if a 30-minute boundary update interval was used for the separate simulation. Mixed nesting improves the efficiency of the simulation process, since the larger phenomenon scale and smaller human impact scale can be tuned separately. </p>
Fig.6 in The Experimental Data On Sun-Basking Activity Of European Pond Turtle Emys Orbicularis In Natural Climate In Latvia: Dynamics And Correlation With The Meteorological Factors
Fig.6. Daily dynamics of sun-basking activity of Emys orbicularis.
Fig.1 in The Experimental Data On Sun-Basking Activity Of European Pond Turtle Emys Orbicularis In Natural Climate In Latvia: Dynamics And Correlation With The Meteorological Factors
Fig.1. The schema of the experimental out-door terrarium.
Selected CO2 and Meteorological Data from BErkeley Atmospheric CO2 Observation Network
<p>Selected CO<sub>2</sub> and meteorological data from BErkeley Atmospheric CO<sub>2</sub> Observation Network (BEACO<sub>2</sub>N) for use in the characterization of the heterogeneity of greenhouse gas concentrations around the San Francisco Bay Area and the constraint of CO<sub>2 </sub>emissions from mobile sources.</p>
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.