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497 results for “campaign”
Ocean current, temperature, salinity and turbulence collected from the R/V Walton Smith, R/V Pelican, and R/V Pt. Sur during two summer seasons of intensive field campaigns in the Coastal Waters of Gulf of Mexico and the Gulf of Mexico from 20210620 to 20220707
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Pyruvic acid Dataset. IBAIRN campaign
<p>Data used in the manuscript by <strong>Eger et al: </strong></p> <p><strong>Pyruvic acid in the boreal forest: first measurements and impact on radical chemistry</strong></p> <p>In Atmospheric Chemistry and Physics Discussions. https://doi.org/10.5194/acp-2019-768</p>
Data file: a qualitative social media content analysis of the Dutch #breakthesilence campaign on negative and traumatic experiences of labour and birth
<p>Data file with typed out quotes from the Dutch #breakthesilence campaign analysed for the study 'Left powerless: a qualitative social media content analysis of the Dutch #breakthesilence campaign on negative and traumatic experiences of labour and birth'.</p>
Effects of Vegetation Urban Street Canyons. Summer 2017 and Winter 2018 Experimental Campaigns
<p> </p> <p>This dataset contains the observations of air quality collected within two experimental campaigns conducted in summer 2017 (07 August 2017-26 September 2017) and winter 2018 (15 January 2018-15 February 2018) in two street canyons in the city of Bologna, to verify the effectiveness of vegetation in altering ventilation levels and pollutant concentration in real-world street canyons. The dataset also contains the meteorological data collected during non-synoptic periods, representing the ideal condition to assess the behavior of the local circulation and turbulence. The experimental field campaigns were setup under WP3 (“Planning and evaluation of PCS solutions”) and conducted under WP5 (“Monitoring and Evaluation of the Interventions”) of the iSCAPE project. Briefly, two parallel urban street canyons characterized by a different occurrence of vegetation, i.e. one almost free of vegetation (Marconi St.) and one with a tree line along both sides of the street (Laura Bassi St.), were instrumented for measurements of meteorology and turbulence variables at three height levels, while pollutant concentrations were monitored at ground level inside both canyons. This dataset is linked to the paper “Disentangling the effect of vegetation on ventilation and air quality in urban street canyons: the Bologna iSCAPE experimental campaigns” by Di Sabatino et al., which will be submitted for publication on “Science of the Total Environment” edited by Elsevier, and to the paper “Characteristic Scales for Turbulent Exchange Processes in a Real Urban Canopy” by Barbano et al., which is under review for publication on “Boundary-Layer Meteorology” edited by Springer. If you use this dataset for your research or work purposes, we ask that you acknowledge us in the use of your data, which can be done by including a proper citation in any documents or publications using these data.</p>
Ghent summer 2015 measurement campaign
<p>Temperature, humidity and Wet Bulb Globe Temperature measurements collected by VITO in the city of Ghent (Belgium) during the summer of 2015 with a number of devices.</p>
Mixing ratios and FRFs of ODSs observed in air samples from research aircraft campaigns in 2016 and 2017
<p>This data set consists of mixing ratios and fractional release factors of ozone-depleting substances measured in air samples collected during research aircraft campaigns in 2016 and 2017 which were both sampling air masses related to the upper part of the Asian Summer Monsoon and above. These activities were part of the EU Stratoclim-603557 project and a corresponding manuscript has been submitted to the journal JGR Atmospheres. This version also includes the supplement of that manuscript.</p>
Comparison of the costs of HPV testing through Community health campaigns versus Home-based testing in rural western Kenya: A micro-costing study
<p><strong>Objectives: </strong>To estimate the cost of HPV-based screening through Community health campaigns (CHCs) and home-based testing.</p> <p><strong>Setting:</strong> Community health campaigns (CHCs) and home-based testing in six communities in rural western Kenya.</p> <p><strong>Participants:</strong> CHCs and home-based screening reached 2297 and 1002 women aged 25 to 65 years respectively.</p> <p><strong>Outcome measures:</strong> Outcome measures were overall cost per woman screened achieved through the CHCs and home-based testing, and the cost per woman for each activity comprising the screening intervention.</p> <p><strong>Results: </strong>The mean cost per woman screened through CHCs and home-based testing were similar, at $37.7 (range $26.4 - $52.0) and $37.1 (range $27.6 - $54.0), respectively. For CHCs, personnel represented 49% of overall cost, supplies 25%, services 5%, and capital goods 23%. For home-based testing, these were: personnel 73%, supplies 25%, services 1%, and capital goods 2%. A greater number of participants was associated with a lower cost per participant.</p> <p><strong>Conclusions: </strong>The mean cost per woman screened is comparable for CHC and home-based testing, with differences in type of input. The CHCs generally reached more eligible women in the 6 communities, whereas home-based strategies more efficiently reached populations with low screening rates.</p>
Dataset for Two-Point Mixing, Buoyancy Sorting and Updraft Dilution in the RACORO Campaign, Wei et al., 2020
<p>Dataset for Two-Point Mixing, Buoyancy Sorting and Updraft Dilution in the RACORO Campaign, Wei et al., 2020 on Geophysical Research Letters</p>
Data and analysis script for channel measurement campaign at POWDER-RENEW using Iris SDRs
<p>This repository contains our raw datasets from channel measurements performed at the University of Utah campus. In addition, we have included a document that explains the setup and methodology used to collect this data, as well as a very brief discussion of results. <br> File organization:<br> * documentation/ - Contains a .docx with the description of the setup and evaluation.<br> * data/ - HDF5 files containing both metadata and raw IQ samples for<br> each location at which data was collected. Notice we collected data at 14 <br> different client locations. See map in the attached docx (skipped locations 12 and 16).<br> We deployed 5 different receivers at 5 different rooftops. Due to resource constraints,<br> one set of files contains data from 4 different locations whereas another set <br> contains information from the single remaining location.<br> <br> We have developed a set of python scripts that allow us to parse and analyze the data.<br> Although not included here, they can be found in our public repository: <a href="https://github.com/renew-wireless/RENEWLab">https://github.com/renew-wireless/RENEWLab</a><br> You can find the top script <a href="https://github.com/renew-wireless/RENEWLab/blob/master/PYTHON/IrisUtils/deployment_tool.py">here</a>.</p> <p>For more information on the POWDER-RENEW project please visit the <a href="https://powderwireless.net/">POWDER website</a>.<br> The RENEW part of the project focuses on the deployment of an open-source massive MIMO system.<br> Please visit our <a href="https://renew-wireless.org/">website </a>for more information.</p>
SOUTHTRAC-GW: An airborne field campaign to explore gravity wave 1 dynamics at the world's strongest hotspot
<p>This contains the information on the zonal winds measured by the meteor radar at Tierra del Fuego in Argentina during July - December, 2019. Please contact the author for more information.</p>
Experimental data: measurement campaign Hintereisferner Experiment, HEFEX.
<p>The HEFEX micrometeorological measurement campaign was conducted during three weeks in August 2018. Measurement towers were installed on the 1. and 2. August and removed on 22. August. The measurement network consisted of five 3-m tripod towers located at an along- and an across-glacier transect to capture the spatial variations of the atmospheric flow system at the glacier and associated heat exchange processes. The across-glacier transect consisted of three turbulence towers installed from the peripheral zones of the glacier towards the centreline. The location of the across-glacier transect coincides with where the valley of Langtaufererjochferner discharges into the valley of the Hintereisferner glacier. In this area, thermal flows from the surrounding area were hypothesized to influence the surface of Hintereisferner. All stations were installed at comparatively flat areas of the glacier with slope angles varying between 6 and 8°. Measurement towers were installed directly at the ice surface. Due to pronounced changes in the ice surface caused by strong ice melt during the measurement campaign, frequent visual inspection and small adjustments to the location of the towers were essential for good data quality. This mainly consisted of repositioning the tower feet to ensure the tower stability and re-levelling the sensors. Post-processing of data, i.e. correction of data for height changes and rotation of the mast further ensured data quality</p>
EPIC212521166: a transiting planet candidate discovered in Campaign 6 data from the K2 Mission
<p>In the process of visually inspecting a random selection of targets with Kepler magnitude Kp<12 from K2 campaign 6, we identified EPIC 212521166 as a transiting planet candidate. </p> <p>The figure shows the K2 light curve of this object. The top and bottom panels show the SAP and PDC versions of the light curve, respectively. Both have been normalised by dividing them by their median, and only observations with null quality flag are shown.</p> <p> </p>
Campaign clicks
<p>This datataset contains data from digital campaigns with relevant information.</p>
Simulations for the COCCON City Campaign Thessaloniki 2021/22
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Communication campaign Food4Future_cz - Series of videos
<p><strong>Food4Future_cz</strong> is a communication campaign developed by the EU-funded project <a href="https://foodsafety4.eu/">FoodSafety4EU</a>. The campaign aims to raise youngsters' awareness about food safety and sustainability for a conscious and considerate approach to the environment. For more information about the campaign in Czechia, please visit <a href="http://www.foodnet.cz/cs/food4future_cz">http://www.foodnet.cz/cs/food4future_cz</a> and in English please visit <a href="https://foodsafety4.eu/">FoodSafety4EU</a>.</p><p><strong>6 VIDEOS in Czech language with subtitles in English:</strong></p><p><strong>CROPS ON A DRY PLANET (BACKGROUND): </strong>Do you care about the food choices you make? On a planet that's slowly running out of water, alternative ways of farming will become progressively more important. Watch the video with our <i>AquaFriend</i> explaining the water-saving benefits of aquaponics! </p><p><strong>LONG LIVE LETTUCE (KITCHEN): </strong>Do you care about the food choices you make? Not only is aquaponic production safer, but by maintaining the integrity of the root system, the produce such as salad can be stored for longer while staying fresh. Watch the video with our <i>AquaFriend </i>explaining the longevity of produce grown from aquaponics!</p><p><strong>NOT THAT COMPLICATED (LABORATORY): </strong>Do you care about the food choices you make? Even though the principles of aquaponics may sound complicated at first glance, it is a simple and old method of effectively producing crops and fish. Watch the video with our <i>AquaFriend</i> explaining the main principles of aquaponic farming!</p><p><strong>FISH ARE FRIENDS (POND): </strong>Do you care about the food choices you make? Aquaponic farming is not only a source of produce but also fish which is an important protein source. Watch the video with our <i>AquaFriend</i> explaining the benefits of producing fish in an aquaponic farm!</p><p><strong>BETTER THAN ORGANIC (RESTAURANT): </strong>Do you care about the food choices you make? Even though aquaponic produce cannot be marked as "BIO", it has multiple benefits over traditional farming. Watch the video with our <i>AquaFriend</i> explaining the benefits (i.e. pesticide-free, sustainable) of aquaponic farming!</p><p><strong>SHARE WITH CLASS (SCHOOL): </strong>Do you care about the food choices you make? Watch the video with our <i>AquaFriend </i>explaining the aquaponic cycle!</p>
Calibration and Measurements during a field campaign in Rende_Data from SirGalahad, Tekran SPeciation Unit, UT-3000 analyzers
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Datasets to: Measurement report: Introduction to the HyICE-2018 campaign for the measurements of ice nucleating particles in the boreal forest of Hyytiälä
<p>This repository contains the datasets used in the study 'Measurement report: Introduction to the HyICE-2018 campaign for the measurements of ice nucleating particles in the boreal forest of Hyytiälä'. Detailed information and technical aspects of the data can be found in the publication.</p> <p>Update (version 2 - January 2024): The repository was updated and now contains the complete HyICE-2018 datasets for the instruments uL-NIPI and PINE. </p> <p> </p>
Borehole campaign 2017 - Hinge test site
<p>Contains borehole profiles from the High Plasticity Clay test site located in Hinge, Denmark</p>
Case stuides of ground-based remote sensing observations from Cabauw, NL, as obtained during the ACCEPT campaign in 2014.
<p>Datasets of Mira-35 NMRA and Mira-35 MBR4 cloud radars, PollyXT multiwavelength polarization lidar, and the corresponding Cloudnet categorization data for the case-study periods of 3 November and 7 November 2014. A detailed description of each dataset is provided below.</p> <p>1. 20141103_cesar_categorize.nc</p> <ul> <li>Categorization file produced with Cloudnet algorithm, as document on http://cloudnet.fmi.fi.</li> <li>The data were collected on November 3, 2014. They are based on Mira-35 NMRA radar, microwave radiometer, lidar ceilometer, and optical disdrometer. </li> </ul> <p>2. 20141107_cesar_categorize.nc</p> <ul> <li>Categorization file produced with Cloudnet algorithm, as document on http://cloudnet.fmi.fi.</li> <li>The data were collected on November 7, 2014. They are based on Mira-35 NMRA radar, microwave radiometer, lidar ceilometer, and optical disdrometer. </li> </ul> <p>3. 20141103_2000.pdm</p> <ul> <li>This dataset was collected on November 3, 2014, between 20:00 and 20:15 UTC, and includes four RHI scans performed using the Mira-35 MBR4 radar. It serves as the primary input for the technique used to retrieve the shape and orientation of ice particles.</li> </ul> <p>4. 20141107_0915.pdm</p> <ul> <li>This dataset was collected on November 7, 2014, between 09:15 and 09:30 UTC, and includes four RHI scans performed using the Mira-35 MBR4 radar. It serves as the primary input for the technique used to retrieve the shape and orientation of ice particles.</li> </ul> <p>5. 20141107_0945.pdm</p> <ul> <li>This dataset was collected on November 7, 2014, between 09:45 and 10:00 UTC, and includes four RHI scans performed using the Mira-35 MBR4 radar. It serves as the primary input for the technique used to retrieve the shape and orientation of ice particles.</li> </ul> <p>6. 20141107_0800.mmclx</p> <ul> <li>This dataset was collected on November 7, 2014, between 08:00 and 10:00 UTC, using the Mira-35 MBR4 radar. During this period, the radar performed eight PPI scans, with the data from each scan used to calculate wind speed and direction in 15-minute intervals. In this study, the data from the sixth and eighth scans were utilized to calculate wind speed and direction for the time intervals 09:15–09:30 UTC and 09:45–10:00 UTC, respectively.</li> </ul> <p>7. 20141103_2000.mmclx</p> <ul> <li>This dataset was collected on November 3, 2014, between 20:00 and 22:00 UTC, using the Mira-35 MBR4 radar. During this period, the radar performed eight PPI scans, with the data from each scan used to calculate wind speed and direction in 15-minute intervals. In this study, the data from the first scan were utilized to calculate wind speed and direction for the time intervals 20:00–2015 UTC.</li> </ul> <p>8. 20141103_cesar_pollyxt.nc</p> <ul> <li>This dataset was collected on November 03, 2014, between 08:00 and 10:00 UTC. Amongst others, the file provides time-height cross sections of 1064-nm attenuated backscatter coefficient and 532-nm volume depolarization ratio, which can be used to evaluate an observed cloud and aerosol scene for the occurrence of ice crystals and liquid water.</li> </ul> <p>9. 20141107_cesar_pollyxt.nc</p> <ul> <li>This dataset was collected on November 07, 2014, between 20:00 and 21:00 UTC. Amongst others, the file provides time-height cross sections of 1064-nm attenuated backscatter coefficient and 532-nm volume depolarization ratio, which can be used to evaluate an observed cloud and aerosol scene for the occurrence of ice crystals and liquid water.</li> </ul> <p> </p> <p> </p>
CityCLIM 2024 Valencia Airborne Campaign Preliminary Data
<p>CityCLIM brings together and operationalizes climate-related data from real and simulated data sources in the form of in-situ and spaceborne data on one hand and simulated weather model outputs on the other. These data sources fuel the services developed in the scope of the project. However, while spaceborne and weather model data provide comprehensive and up-to-date lay-ers, they lack in resolution to account for finer urban features. In-situ data are timelier and are collected specifically in selected locations of significance for daily life, feeding also into weather modelling to ensure that solutions cannot diverge from observations. Yet, they are not spatially resolved.</p> <p>Airborne data bridges this by providing land surface temperature (LST) readings at variable res-olutions significantly below spaceborne data. As airborne data can be collected only for specific points in time, it is not intended for operational use during the project. However, there are numer-ous unique uses to this data source. First, it can aid verification and validation of LST readings by other data sources or by algorithmic super-resolution. Second, future commercial and institutional satellite missions provide improved resolutions, allowing the use of airborne data to mimic them as of now unavailable data products and enables devising usecases that are not feasible with current spaceborne resolutions.</p> <p>The data provided here are preliminary airborne raw data (after calibration) and derived quantities collected as part of the CityCLIM airborne campaign conducted in Valencia on 10.09.2024 and 11.09.2024.</p> <p>For selected locations, the following files are provided:</p> <table> <tbody> <tr> <td><strong>File</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td><strong>089_L1rad.tiff</strong></td> <td>At-sensor radiance in the 8.9 µm band (500 nm bandwidth). Resolution ~4 m. Unit: W/m²/µm.</td> </tr> <tr> <td><strong>106_L1rad.tiff</strong></td> <td>At-sensor radiance in the 10.6 µm band (1060 nm bandwidth). Resolution ~4 m. Unit: W/m²/µm.</td> </tr> <tr> <td><strong>122_L1rad.tiff</strong></td> <td>At-sensor radiance in the 12.2 µm band (750 nm bandwidth). Resolution ~4 m. Unit: W/m²/µm.</td> </tr> <tr> <td><strong>089_L2rad.tiff</strong></td> <td>Ground-leaving radiance after atmospheric correction in the 8.9 µm band. Correction for downwelling is applied during Temperature Emissivity Separation (TES) and is therfore not part of the atmospheric correction. Unit W/m²/µm.</td> </tr> <tr> <td><strong>106_L2rad.tiff</strong></td> <td>Ground-leaving radiance after atmospheric correction in the 10.6 µm band. Correction for downwelling is applied during Temperature Emissivity Separation (TES) and is therfore not part of the atmospheric correction. Unit W/m²/µm.</td> </tr> <tr> <td><strong>122_L2rad.tiff</strong></td> <td>Ground-leaving radiance after atmospheric correction in the 12.2 µm band. Correction for downwelling is applied during Temperature Emissivity Separation (TES) and is therfore not part of the atmospheric correction. Unit W/m²/µm.</td> </tr> <tr> <td><strong>089_eps.tiff</strong></td> <td>TES emissivity estimate 8.9 µm band.</td> </tr> <tr> <td><strong>106_eps.tiff</strong></td> <td>TES emissivity estimate 10.6 µm band.</td> </tr> <tr> <td><strong>122_eps.tiff</strong></td> <td>TES emissivity estimate 12.2 µm band.</td> </tr> <tr> <td><strong>LST.tiff</strong></td> <td>TES land surface temperature estimate. Unit: K.</td> </tr> <tr> <td><strong>PXXXXXX.tiff</strong></td> <td>Accompanying RGB. Resolution ~0.3 m.</td> </tr> </tbody> </table> <p>--- PRELIMINARY DATA ARE NOT GEO-REFERENCED ---</p>
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.