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586 results for “March”
Fig. 10 in New Alien Mediterranean Biodiversity Records (March 2021)
Fig. 10: Gonioinfradens giardi from Kefallonia island. Photo credit: Michail Ragkousis.
Hovione Wind Turbine: bird survey datasets, March 2023 - March 2024
<p>Bird surveys carried out to inform the Environmental Impact Assessment Report and Natura Impact Statement for a proosed wind turbine at the Hovione Cork site, Ringaskiddy, Co. Cork, Ireland</p>
Dataset from the ground-based TEC and scintillation receiver in Troll station for events on March 18th and 25th, 2018
<p>Here is data from the GNSS Ionospheric Scintillation and TEC Monitor (GISTM) receiver NovAtel GPStation-6 that located at the Norwegian Research Station Troll in Queen Maud Land, Antarctica. The receiver records signals from the GPS, GLONASS, and Galileo satellites. Every minute, it provides extended summary messages, including satellite azimuth/elevation angles, C/NO, lock time, code-minus-carrier, calculations of amplitude (S4) and phase (σϕ) scintillation indices.</p> <p>The data is presented as tables. Each .txt file contains data and a header.</p> <p> </p> <p><span>This work was supported by European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (ERC Consolidator Grant agreement No. 866357, POLAR-4DSpace).</span></p>
Fig. 3 in Short communication Contributo alla conoscenza della flora vascolare della Riserva Naturale Regionale Sentina (Italia Centrale, Marche)
Fig. 3 - Eclipta prostrata (L.) L.
Fig. 2 - Cyperus glomeratus L in Short communication Contributo alla conoscenza della flora vascolare della Riserva Naturale Regionale Sentina (Italia Centrale, Marche)
Fig. 2 - Cyperus glomeratus L.
Fig. 1 - Bupleurum tenuissimum L in Short communication Contributo alla conoscenza della flora vascolare della Riserva Naturale Regionale Sentina (Italia Centrale, Marche)
Fig. 1 - Bupleurum tenuissimum L.
Figure 2. Temperature, March 2013 in Assessment of the incubation period for each sex of Turkish semiwild Northern Bald Ibis (Geronticus eremita)
Figure 2. Temperature, March 2013.
Figure 4. Temperature, March 2015 in Assessment of the incubation period for each sex of Turkish semiwild Northern Bald Ibis (Geronticus eremita)
Figure 4. Temperature, March 2015.
TRAM-804 Integrated Taxonomic Information System (ITIS) Taxonomic Hierarchy: ITIS hierarchy March 31 2020
Authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world. ITIS ia a partnership of U.S., Canadian, and Mexican agencies (ITIS-North America); other organizations; and taxonomic specialists. ITIS is also a partner of Species 2000 and the Global Biodiversity Information Facility (GBIF).<p></p>from Aug 28 2019 downloads, with vernacular names removed
Lower ionospheric disturbances due to geomagnetic storms of March & April 2023: inferred from VLF navigational signals and numerical simulations
<p>This is VLF data used in the research paper as per title</p>
Educational data collected from students - regarding the analysis of online activities in schools in Romania (during the Covid-19 pandemic, March 2020 - April 2020)
<p>The student questionnaire was designed with 20 questions. It was completed by 1,088 respondents and focuses on students' experiences related to online education. The collected data provides a broad perspective on various aspects of this, including access to technology, experiences with different platforms, perceptions of the advantages and disadvantages of this form of education, as well as direct feedback from students regarding their experiences. The full questionnaire can be accessed at: <a href="https://forms.gle/fhgzCUx1SDnxbCfZ6" target="_new" rel="noopener"><strong>https://forms.gle/fhgzCUx1SDnxbCfZ6</strong></a></p> <p>To protect the identity of the respondents and to obtain accurate responses, all data collected from teachers was anonymous. We did not collect any personal information whatsoever. This aspect was made clear to the respondents in the description of the questionnaire.</p>
Educational data collected from teachers - for the analysis of online activities in schools in Romania (during the Covid-19 pandemic, March 2020 - April 2020)
<p>The dataset comes from a questionnaire structured into 24 questions, which can be accessed at <a href="https://forms.gle/bUgYMfoNHh7r6ebs6" target="_new" rel="noopener">https://forms.gle/bUgYMfoNHh7r6ebs6</a>. This questionnaire was completed by 956 respondents and aims to analyze the online activities carried out during March - April 2020, being distributed to teachers.<br>Each question is designed to reveal different aspects of the experiences, skills, and perspectives of teaching staff regarding online teaching and learning.</p> <p>To protect the identity of the respondents and to obtain accurate responses, all data collected from teachers was anonymous. We did not collect any personal information whatsoever. This aspect was made clear to the respondents in the description of the questionnaire.</p>
Slope Units delineation for Marche region in Italy
<p>To use this dataset, please cite the article; <em>Ahmed, M., Titti, G., Trevisani, S., Borgatti, L., Francioni, M.: Is higher resolution always better? Open-access DEM comparison for Slope Units delineation and regional landslide prediction. Submitted to Geoscientific Model Development. 2024. <br></em></p> <p> </p> <p>Using three metrics to assess the segmentation of the terrain into Slope Units (SUs), we choose the partition which has been calculated with the following parameters in r.slopunits software (Alvioli et. al., 2016): flow accumulation threshold of 1,000,000 square meters, clean size of 20,000 square meters with the cleaning method (flag -m), minimum area of 300,000 square meters with circular variance of 0.1. The metrics incorporated the landslide extension, landslide number and the aspect homogenity of each segmentation. This has been done using TINITALY resampled to 30m for the Marche region of Italy.</p> <p> </p> <p> </p>
Hourly foF2 Data at Zhongshan Station for March, June, September, and December 2014
<p><span>This dataset contains hourly values of the critical frequency of the F2 layer (foF2), measured at Zhongshan Station, Antarctica, during the solar maximum year of 2014. The measurements cover four key months: March, June, September, and December.<br>The ionospheric data are obtained from long-term observations of the digisonde DPS-4 measurements at Zhongshan, Antarctica. The ionosondes provide ionograms via transmitting radio pulses with frequency coverage of 1.0–30 MHZ and receiving echoes reflected by various layers of the ionosphere. The ionospheric F-region critical frequencies (foF2) are calculated after processing ionograms. The time resolution of the ionosonde data used is 1 h.<br>The raw digisonde DPS-4 data at Zhongshan Station can be requested through the Data-sharing Platform of Polar Science (http://www.chinare.org.cn), which is maintained by the Polar Research Institute of China and the Chinese National Antarctic & Arctic Data Center.<br></span></p>
Meteorological Data from Kardamyla, Chios: March 2024 Baseline Measurements for the MUSICA Project
<p>The present meteorological data is collected from the weather station in <strong>Kardamyla</strong>, a village in northern Chios, and is published on the <strong>Zenodo</strong> platform for open access. The Kardamyla area was selected due to its proximity to the location where the <strong>MUSICA</strong> project platform will be installed. The data includes measurements of temperature, rainfall, wind speed, and wind direction, and covers the period from March 1st to March 31st, 2024.</p> <h3>Purpose</h3> <p>These measurements are conducted as part of the <strong>MUSICA</strong> project, with the goal of monitoring climate changes in the Kardamyla area and the broader region of Chios, particularly following the installation of the project's platform. The data presented here covers the period from March 2024, and new measurements will be regularly added as part of ongoing monitoring efforts to track changes in weather and climate conditions.</p> <h3>Content</h3> <p>The files include:</p> <ul> <li><strong>Date and time of recording</strong>: For accurate time tracking of the data.</li> <li><strong>Temperature</strong>: Daily average, maximum, and minimum temperatures in degrees Celsius (°C).</li> <li><strong>Rainfall</strong>: Daily rainfall in millimeters (mm).</li> <li><strong>Wind speed</strong>: Average and maximum daily wind speed in kilometers per hour (km/h).</li> <li><strong>Wind direction</strong>: The prevailing wind direction of the day.</li> </ul> <h3>Data Highlights for March 2024</h3> <ul> <li><strong>Highest temperature</strong>: 25.1°C, recorded on March 31st, 2024, at 15:10.</li> <li><strong>Lowest temperature</strong>: 3.3°C, recorded on March 24th, 2024, at 05:50.</li> <li><strong>Highest daily rainfall</strong>: 28.2 mm, recorded on March 5th, 2024.</li> <li><strong>Highest wind speed</strong>: 77.2 km/h, recorded on March 12th, 2024, at 00:10.</li> </ul> <h3>Data Usage</h3> <p>The data is free to use. Users are welcome to download, analyze, and utilize the data for personal, educational, or research purposes, as well as for developing applications and tools that contribute to understanding and addressing weather and climate phenomena.</p>
Meteorological Data from Chios: March 2024 Baseline Measurements for the MUSICA Project
<p>The present meteorological data is collected from the weather station in <strong>Chiostown</strong>, located in Chios, and is published on the <strong>Zenodo</strong> platform for open access. The station is positioned at an elevation of 32 meters and the data includes measurements of temperature, rainfall, wind speed, and wind direction, covering the period from March 1st to March 31st, 2024.</p> <h3>Purpose</h3> <p>These measurements are conducted as part of the <strong>MUSICA</strong> project, which aims to monitor climate changes in the Chiostown area and the broader region of Chios. The data presented here for March 2024 provides insight into the weather conditions leading up to the installation of the project's platform. Continuous monitoring efforts will track changes in weather and climate conditions as the project progresses.</p> <h3>Content</h3> <p>The files include:</p> <ul> <li><strong>Date and time of recording</strong>: For accurate time tracking of the data.</li> <li><strong>Temperature</strong>: Daily average, maximum, and minimum temperatures in degrees Celsius (°C).</li> <li><strong>Rainfall</strong>: Daily rainfall in millimeters (mm).</li> <li><strong>Wind speed</strong>: Average and maximum daily wind speed in kilometers per hour (km/h).</li> <li><strong>Wind direction</strong>: The prevailing wind direction of the day.</li> </ul> <h3>Data Highlights for March 2024</h3> <ul> <li><strong>Highest temperature</strong>: 25.3°C, recorded on March 31st, 2024, at 15:50.</li> <li><strong>Lowest temperature</strong>: 7.1°C, recorded on March 24th, 2024, at 03:20.</li> <li><strong>Highest daily rainfall</strong>: 25.4 mm, recorded on March 5th, 2024.</li> <li><strong>Highest wind speed</strong>: 66.0 km/h, recorded on March 12th, 2024, at 10:50.</li> </ul> <h3>Data Usage</h3> <p>The data is free to use. Users are welcome to download, analyze, and utilize the data for personal, educational, or research purposes, as well as for developing applications and tools that contribute to understanding and addressing weather and climate phenomena.</p>
Comparison of Meteorological Data: Chios and Kardamyla, January – March 2024
<p>A comparison of the meteorological data from two nearby locations on Chios Island, <strong>Chios </strong>(town) and <strong>Kardamyla</strong>, for the months of January, February, and March 2024, reveals some interesting climatological patterns. The data includes temperature, rainfall, wind speed, and wind direction, providing a valuable overview of the weather conditions in these Aegean locations.</p> <h3>Temperature</h3> <p>The average temperature shows a steady increase in both areas over the three months:</p> <ul> <li><strong>Kardamyla</strong>: <ul> <li>January: 12.4°C</li> <li>February: 13.4°C</li> <li>March: 13.9°C</li> </ul> </li> <li><strong>Chios town</strong>: <ul> <li>January: 11.9°C</li> <li>February: 13.0°C</li> <li>March: 14.1°C</li> </ul> </li> </ul> <p>The temperatures in both areas are quite similar, with Chiostown recording slightly higher average temperatures in February and March compared to Kardamyla. This might be due to differences in local topography and exposure to wind patterns.</p> <h3>Rainfall</h3> <p>Rainfall varies across the three months, with significant precipitation recorded in both locations:</p> <ul> <li><strong>Kardamyla</strong>: <ul> <li>January: Total rainfall 87.6 mm (maximum daily: 19.2 mm)</li> <li>February: Total rainfall 70.4 mm (maximum daily: 49.4 mm on February 12)</li> <li>March: Total rainfall 63.2 mm (maximum daily: 28.2 mm on March 5)</li> </ul> </li> <li><strong>Chios town</strong>: <ul> <li>January: 54.8 mm</li> <li>February: 82.8 mm (maximum daily: 43.6 mm on February 12)</li> <li>March: 69.6 mm (maximum daily: 25.4 mm on March 5)</li> </ul> </li> </ul> <p>Both locations experienced heavy rainfall in February, with Chiostown recording a maximum daily rainfall of 43.6 mm on the 12th, close to the 49.4 mm recorded in Kardamyla on the same day. This indicates a shared weather event, likely an intense storm system affecting both areas.</p> <h3>Wind</h3> <p>Wind speeds in both locations show similar patterns of strong winds during winter and early spring, with some days registering high gusts:</p> <ul> <li><strong>Kardamyla</strong>: <ul> <li>January: Maximum wind speed 85.3 km/h</li> <li>February: Maximum wind speed 82.1 km/h</li> <li>March: Maximum wind speed 77.2 km/h</li> </ul> </li> <li><strong>Chios town</strong>: <ul> <li>January: Maximum wind speed 90.1 km/h</li> <li>February: Maximum wind speed 67.6 km/h</li> <li>March: Maximum wind speed 66.0 km/h</li> </ul> </li> </ul> <p>Chiostown recorded the highest wind speeds in January (90.1 km/h), while the wind intensity decreased slightly in February and March. In contrast, Kardamyla experienced consistently high wind speeds throughout the three months. Northerly and north-northeasterly winds dominate in both areas, with southern winds occurring during stormy conditions.</p> <h3>Conclusions</h3> <p>Several key conclusions can be drawn from this comparison:</p> <ol> <li><strong>Temperature</strong>: Temperatures rise gradually as spring approaches, with Chiostown showing slightly higher average temperatures than Kardamyla during February and March.</li> <li><strong>Rainfall</strong>: Both locations experienced significant rainfall, particularly in February. The high daily rainfall values on February 12 suggest a shared intense weather event affecting both locations.</li> <li><strong>Wind</strong>: Strong winds are a consistent feature in both areas, with Chiostown experiencing slightly higher maximum wind speeds in January but Kardamyla maintaining stronger winds throughout the three-month period.</li> </ol> <p>Overall, the weather conditions in Chios (town) and Kardamyla are quite similar, with local topographical and geographical factors influencing small variations in temperature, rainfall, and wind speeds.</p>
PM_140329_B_Marche_en_Famenne
<u>File Name</u>: PM_140329_B_Marche_en_Famenne.jpg <br><u>Sublocation</u>: Place Roi Albert 1er <br><u>Location</u>: Marche-en-Famenne <br><u>Province</u>: Luxembourg <br><u>Country</u>: Belgium <br><u>Header</u>: Fontaine publique, "La Fontaine Ponthier", Alphonse de Tombay, 1987 <br><u>Description</u>: Public monument La Fontaine Ponthier Alphonse de Tombay 1987 <br><u>Keywords</u>: Belgium, Cultural heritage, Europe, Luxembourg, Marche-en-Famenne, Monuments, Public monument <br><br><u>Author</u>: Alphonse de Tombay (1843-1918) <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_140322_B_Marche_en_Famenne
<u>File Name</u>: PM_140322_B_Marche_en_Famenne.jpg <br><u>Sublocation</u>: Place Roi Albert 1er <br><u>Location</u>: Marche-en-Famenne <br><u>Province</u>: Luxembourg <br><u>Country</u>: Belgium <br><u>Header</u>: Statue "Grand Georges", Christian Leroy, 1988 <br><u>Description</u>: Statue The graet George (Grand Georges) Christian Leroy 1988 Bronze <br><u>Keywords</u>: Belgium, Bronze sculpture, Cultural heritage, Europe, Luxembourg, Marche-en-Famenne, Monuments, Public monument, Techniques <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_140318_B_Marche_en_Famenne
<u>File Name</u>: PM_140318_B_Marche_en_Famenne.jpg <br><u>Sublocation</u>: L'église Saint-Remacle <br><u>Location</u>: Marche-en-Famenne <br><u>Province</u>: Luxembourg <br><u>Country</u>: Belgium <br><u>Header</u>: Vue de l'extérieur <br><u>Description</u>: Parish church (L'église Saint-Remacle) Exterior <br><u>Keywords</u>: Belgium, Cultural heritage, Europe, Luxembourg, Marche-en-Famenne <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
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.