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113 results for “field campaign”
Madison community science field campaign to assess abundance and distribution of invasive jumping worms.
Asian pheretimoid earthworms of the genera Amynthas and Metaphire (jumping worms) are leading a new wave of co-invasion into Northeastern and Midwestern states, with potential consequences for native organisms and ecosystem processes. However, little is known about their distribution, abundance, and habitat preferences in urban landscapes – areas which likely influence range expansion via human-driven spread. We led a participatory field campaign to assess jumping worm distribution and abundance in Madison, Wisconsin in September of 2017. By compressing 250 person-hours of sampling effort into a single day, we quantified presence and abundance of three jumping worm species across different land-cover types (forest, grassland, open space, residential lawns and gardens), finding that urban green spaces differed in invasibility. We show that community science can be powerful for researching invasive species while engaging the public in conservation. This approach was particularly effective here, where broad spatial sampling was required within a short temporal window.
Numerical weather simulation using COSMOiso in June 2019 during L-WAIVE field campaign: selected model output and post-processed data.
<p>This dataset consists of extracts from a simulation with the isotope-enabled regional numerical weather prediction model COSMOiso, which covers the timespan of the Lacustrine-Water vApor Isotope inVentory Experiment (L-WAIVE) field campaign taking place in June 2019 in the Annecy valley in the French Alps (Chazette et al. 2021).The simulation has a horizontal resolution of 0.1° (~10km) and 40 vertical levels.</p><p>This COSMOiso simulation is used in Thurnherr et al. (submitted) to compare stable water isotope measurements from various platforms. Here, we provide selected model outputs and post-processed data used in this comparison study. The post-processed data contain:</p><ol><li>COSMOiso output files for time steps 20190612_12, 20190613_12, 20190615_13, 20190616_13, 20190617_12, 20190622_12.</li><li>Pressure weighted total and subcolumn averages for time steps 20190612_12, 20190613_12, 20190615_13, 20190616_13, 20190617_12, 20190622_12.</li><li>Vertical cross section of selected variables at Annecy, the location of the L-WAIVE field campaign, for the simulation time window.</li><li>Interpolated time series of subcolumn and total column averages at Annecy, the location of the L-WAIVE field campaign, for the simulation time window.</li><li>Interpolated variables along the flight tracks from the L-WAIVE campaign (see Sodemann and Seidl, 2023).</li></ol><p>See also README files for more details on the provided data.</p><p>To access further model output and post-processed data, please contact the dataset authors.</p>
A multi-resolution, multi-epoch low Radio Frequency Survey of the Kepler K2 Mission Campaign 1 Field
<p>Data abstract:</p> <p>Contained within are the MWA images used as input data for this study. The production and analysis of these images are described in the linked paper. The final catalogues and light curves are available from VizieR (http://vizier.cfa.harvard.edu/viz-bin/VizieR?-source=J/AJ/152/82).</p> <p>Paper abstract:</p> <p>We present the first dedicated radio continuum survey of a Kepler K2 mission field, Field 1, covering the North Galactic Cap. The survey is wide field, contemporaneous, multi-epoch, and multi-resolution in nature and was conducted at low radio frequencies between 140 and 200 MHz. The multi-epoch and ultra wide field (but relatively low resolution) part of the survey was provided by 15 nights of observation using the Murchison Widefield Array (MWA) over a period of approximately a month, contemporaneous with K2 observations of the field. The multi-resolution aspect of the survey was provided by the low resolution (4‧) MWA imaging, complemented by non-contemporaneous but much higher resolution (20″) observations using the Giant Metrewave Radio Telescope (GMRT). The survey is, therefore, sensitive to the details of radio structures across a wide range of angular scales. Consistent with other recent low radio frequency surveys, no significant radio transients or variables were detected in the survey. The resulting source catalogs consist of 1085 and 1468 detections in the two MWA observation bands (centered at 154 and 185 MHz, respectively) and 7445 detections in the GMRT observation band (centered at 148 MHz), over 314 square degrees. The survey is presented as a significant resource for multi-wavelength investigations of the more than 21,000 target objects in the K2 field. We briefly examine our survey data against K2 target lists for dwarf star types (stellar types M and L) that have been known to produce radio flares.</p>
Observed runoff time series from a green roof field campaign in Hannover-Herrenhausen
<p>This dataset includes a csv file comprising observed runoff time series from a green roof field campaign, which was conducted by Prof. Dr.-Ing. Hans-Joachim Liesecke. The csv file provides runoff from 11 green roof variants (10 was excluded, since it has a different design). Rows include daily runoff totals (collected each morning, excluding weekends). Please refer to this article, which describes the dataset in more detail: </p> <p><strong>Iffland, R., Förster, K., Westerholt, D., Pesci, M. H., & Lösken, G. Robust vegetation parameterization for green roofs in EPA SWMM. Hydrology. </strong><a href="https://doi.org/10.3390/hydrology8010012">https://doi.org/10.3390/hydrology8010012</a></p> <p>The field campaign involved a total of 11 superstructures in triple repetition. In the csv file, each column represents average values computed out of three independent measurements (in mm*d<sup>-1</sup>)</p> <p>The individual test plots were 2 m x 2 m with a slope of 2 % and a drainage opening in the middle of the lowest point of the slope. The outflowing water was collected in non-weighable lysimeters (rain barrels) that were read and emptied at 8 A.M. every day. On weekends, readings were taken the following workday.</p> <p> </p>
Size-resolved cloud condensation nuclei data collected during the CalWater 2015 field campaign
<p>This repository contains raw and processed data for the size-resolved cloud condensation nuclei instrument deployed during the Calwater-2015 field campaign. It also contains the averaged cluster data presented in the paper "Classification of aerosol population type and cloud condensation nuclei properties in a coastal California littoral environment using an unsupervised cluster model" by Atwood et al. (2019). Details about the datafiles are provided in README.md file in markdown format.</p>
Seaglider (SG537) dataset collected during the ROAM-MIZ field campaign in the Southern Ocean
<p>This dataset is a part of the Robotic Observations And Modelling in the Marginal Ice Zone (ROAM-MIZ, <a href="http://www.roammiz.com">www.roammiz.com</a>) project, and contains the temperature and salinity profiles from a Seaglider (SG537), which was deployed at the Prime Meridian in the northeastern Weddell Sea (0.00W and 55S) from 18th October 2019 to 18th February 2020 and obtained a total of five repeated crossings of the Southern Boundary.</p>
Field campaign data for evaluating green infrastructure in Guildford
<p>Field campaign data collected using reference instruments before and after hedges (Green infrastructure) in Guildford by University of Surrey.</p>
Data archive for the journal article: "Comparison of co–located rBC and EC mass concentration measurements during field campaigns at several European sites"
<p>Data archive accompanying the peer-reviewed journal article "Comparison of co–located rBC and EC mass concentration measurements during field campaigns at several European sites". In January 2021 this article was accepted for publication in the journal <em>Atmospheric Measurement </em><em>Techniques</em>. Data are uploaded in the form of Igor 8.0 graphics source files (.pxp) and data exported to Excel spreadsheet (.xlsx).</p>
Dataset from autonomous assets collected during the SO-CHIC field campaign in the Southern Ocean
<p>These datasets are a part of the Southern Ocean Carbon and Heat Impact on Climate (SO-CHIC, https://www.sochic-h2020.eu/) project, and were collected during the field campaign in 2022.<strong><br></strong></p> <p><strong>Seaglider SG640 </strong><em>(SG640_20220110_SOCHIC.nc</em>)</p> <p>This dataset contains the temperature, salinity, dissolved oxygen, fluorescence, and backscatter profiles from a Seaglider (SG640), which was deployed at the Maud Rise seamount in the eastern part of the Weddell Sea from the 10th of January 2022, to the 7th of April 2022. These profiles are available at Level 2 (basic gridding) and Level 3 (despiked and interpolated).</p> <p><strong>Seaglider SG675</strong> (<em>SG675_20220123_SOCHIC.nc</em>)</p> <p>This dataset contains the temperature, salinity, dissolved oxygen, fluorescence, and backscatter profiles from a Seaglider (SG675), which was deployed at the Maud Rise seamount in the eastern part of the Weddell Sea from the 23rd of January 2022, to the 18th of June 2022. These profiles are available at Level 2 (basic gridding) and Level 3 (despiked and interpolated).</p> <p><strong>Sailbuoy Kringla </strong>(<em>SB_20220110_SOCHIC.nc</em>)<strong><br></strong></p> <p>This dataset contains atmospheric and oceanic observations of wind speed, air and sea temperature, salinity, and currents. The Sailbuoy was deployed at the Maud Rise seamount in the eastern part of the Weddell Sea from the 10th of January 2022, and recovered on the 17th of June 2022. There was a brief period in March where she was recovered and repaired by Polarstern and subsequently re-deployed, losing around three days of data. The ADCP data were processed using <a href="https://doi.org/10.5281/zenodo.7494998">Edholm, J. M., du Plessis, M., & Swart, S. (2022) - Sailbuoy processing (v1.0.0)</a></p> <p><strong>Saildrone 1067 </strong>(<em>SD-1067-NRT-data.nc</em>)<strong><br></strong></p> <p>This dataset contains atmospheric and oceanic observations of wind speed, air and sea temperature, relative humidity, short and longwave radiation, pCO2, dissolved oxygen, chlorophyll-a, salinity, and currents. The Saildrone was deployed in the Agulhas retroflection area in the Cape Cauldron from the 24th of August 2022 to the 22nd of November 2022.</p> <p> </p> <p> </p>
Vertical profiles of stable water isotopes and thermodynamic properties from research flights during the L-WAIVE field campaign in June 2019
<p>This datasets contains the measurements of stable water isotopes conducted during the Lacustrine-Water vApor Isotope inVentory Experiment (L-WAIVE) field campaign taking place in June 2019 in the Annecy valley in the French Alps (Chazette et al. 2021). The measurements were conducted using a Picarro laser spectrometer L2130-i that was installed on an ultralight aircraft. The Picarro measurements of atmospheric humidity are merged measurements of thermodynamic properties by a fast-response temperature and humidity probe (iMet XQ-2; see also Chazette et al. 2021) interpolated on 10s temporal resolution.</p> <p>The data is provided on a one file per flight. All variables are described in README.</p> <p>This dataset has been used in Thurnherr et al. (submitted) for a comparison study of stable water isotopes measurements from various platforms and COSMOiso model simulations.</p>
Data for JGR-Atmospheres Paper: Stratospheric Hydration Processes in Tropopause-Overshooting Convection Revealed by Tracer-Tracer Correlations from the DCOTSS Field Campaign
<p>Airborne 1-second data merger of observations from the NASA Dynamics and Chemistry of the Summer Stratosphere (DCOTSS) field campaign. This merger includes subjective feature identifications analyzed in the paper referenced in the title. </p>
Balloon-borne Aerosol-Cloud Interaction Studies (BACIS): Field campaigns to understand and quantify aerosol effects on clouds
<p>The dataset uploaded on Zenodo consists of in-situ measurements from specialised balloon borne sondes used in the field campaign named BACIS (Balloon borne Aerosol Cloud Interaction Studies) conducted from Gadanki, a location in Southern Peninsular India. Note that raw data from the observations is only uploaded here. There is lot more post processing of data carried out during our analysis for brining out meaningful data. Hence the users are cautioned in using the raw data for analysis and kindly advised to approach us for the post processed, quality controlled data. </p>
TEAMx-PC22 (TEAMx pre-campaign 2022) - Radial velocity and coplanar-retrieved horizontal wind fields from KITcube Leosphere/Vaisala Windcube WLS200s-124 and WLS200s-159
<p><strong>Abstract</strong></p> <p>This data set was collected during the TEAMx pre-campaign in summer 2022 (TEAMx-PC22) in the Inn Valley Target Area, Austria.</p> <p><strong>Data description</strong></p> <p>This data set is comprised of a single TAR file containing 1536 hourly NetCDF files. Within these, radial velocities from KITcube Leosphere/Vaisala Windcube WLS200s-124 and WLS200s-159 Doppler wind lidars, as well as coplanar-retrieved horizontal wind speed components in their common scanning plane are stored. </p> <p>The time period is 29 June 2022, 00:00 UTC - 31 August 2022, 23:58 UTC.</p> <p>More details about the variables, lidar locations, scan details, as well as post-processing can be found in the NetCDF metadata. The wind fields stored in the NetCDF files are also available in daily animation form under an accompanying Zenodo Video/Audio data set (DOI: 10.5281/zenodo.7212837).</p>
Snow depth and density measurements with different snow core samplers in HARMOSNOW Field Campaigns
<p>The data correspond to snow bulk density and snow depth measured with different snow core sampler in three field campaigns carried out in mountains of Turkey, Iceland and Finland in order to assess the uncertainty of using different snow core samplers and different observers. The field campaigns were carried out in the frame of the COST project HARMOSNOW ES1404 <a href="http://harmosnow.eu/">http://harmosnow.eu/</a></p>
Seaglider (SG640) dataset collected during the ROAM-MIZ field campaign in the Southern Ocean
<p>This dataset is a part of the Robotic Observations And Modelling in the Marginal Ice Zone (ROAM-MIZ, <a href="http://www.roammiz.com">www.roammiz.com</a>) project and contains the temperature, salinity, dissolved oxygen, fluorescence, and backscatter profiles from a Seaglider (SG640), which was deployed at the Prime Meridian in the northeastern Weddell Sea (0.02W and 55.01S) from 20th October 2019 to 18th February 2020.</p> <p>The raw data has been processed to L1 by applying the Kongsberg Seaglider Basestation code following the methods of Garau et al. (2011).</p> <p>Garau, B., S. Ruiz, W. G. Zhang, A. Pascual, E. Heslop, J. Kerfoot, and J. Tintoré, 2011: Thermal Lag Correction on Slocum CTD Glider, <em>Data. J. Atmos. Oceanic Technol</em>, 28, 1065–1071. DOI: <a href="https://doi.org/10.1175/JTECH-D-10-05030.1">https://doi.org/10.1175/JTECH-D-10-05030.1</a></p>
Timelapse footage of deep convective clouds in New Mexico produced during the DCMEX field campaign
<p>Timelapse footage of clouds taken during the<a href="https://cloudsense.ac.uk/dcmex/"> Deep Convective Microphysics Experiment</a> (DCMEX) research project, funded by the UK Natural Environment Research Council.</p> <p>Cameras were pointed towards the Magdalena mountains. The main camera location was Socorro airport, a secondary location was Econolodge, Socorro, and a third location was Magdalena airport.</p> <p>These are a subset of the footage collected. 20s interval photographs from a number of days are available from another archive.</p> <p>During these timelapses the FAAM aircraft was flying through the clouds collecting thermodynamic, dynamics, microphysics and aerosol <a href="https://catalogue.ceda.ac.uk/uuid/b1211ad185e24b488d41dd98f957506c">measurements</a>. Radars were also sometimes operational.</p> <p>The full campaign and data is decribed in detail in <a href="https://essd.copernicus.org/articles/16/2141/2024/">Finney et al. (2024) ESSD</a>.</p> <p><strong>Video descriptions</strong></p> <p>19th July - A number of convective cloud bursts, but no anvil formed over the Magdalena mountains during this footage.</p> <p>23rd July - Cumulus are present and growing from the start of the footage. Cloud bases stay rooted to the mountain. Shear appears low until a detrainment layer is reached.</p> <p>27th July - Footage begins with clear skies. Strong low levels winds carry clouds northward. Deep convective clouds form and are detrained south westward. Later in the footage scene becomes overcast with high cloud, and this suppresses the earlier deep convection. Late in the camera 1 footage a gust front cloud passes across the scene.</p> <p>29th July - Footage taken from the Magdalena airport and begins with fast moving cumulus cloud. The cloud grows and moves over the camera.</p> <p>31st July - Cumulus clouds form almost immediately over the Magdalena mountains and steadily grow from multiple thermals. Cloud bases stay rooted to the mountain, but shear aloft carries cloud northward from a detrainment layer. The cloud takes a structure similar to anvil but winds are strong and cloud in the detrainment layer appears to be fairly long-lived, warping the anvil shape somewhat.</p> <p>2nd August - Footage begins overcast but clears. Cumulus clouds and congestus begin to form, with strong low level winds carrying them southward.</p> <p><strong>Related datasets</strong></p> <p>Facility for Airborne Atmospheric Measurements; Finney, D.; Blyth, A.; Gallagher, M.; Wu, H.; Nott, G.J.; Biggerstaff, M.; Sonnenfeld, R.G.; Daily, M.; Walker, D.; Dufton, D.; Bower, K.N.; Boeing, S.; Choularton, T.W.; Crosier, J.; Groves, J.; Field, P.; Coe, H.; Murray, B.J.; Lloyd, G.; Marsden, N.A.; Flynn, M.; Hu, K.; Thamban, N.M.; Williams, P.I.; Connolly, P.J.; McQuaid, J.B.; Robinson, J.; Cui, Z.; Burton, R.R.; Carrie, G.; Moore, R.; Abel, S.J.; Tiddeman, D.; Aulich, G.; Bennecke, D.; Kelsey, V.; Reger, R.S.; Nowakowska, K.; Bassford, J.; Morris, F.; Hampton, J. (2022): DCMEX: Collection of in-situ airborne observations, ground-based meteorological and aerosol measurements and cloud imagery for the Deep Convective Microphysics Experiment. NERC EDS Centre for Environmental Data Analysis, <em>30 April 2024</em>. <a href="https://dx.doi.org/10.5285/B1211AD185E24B488D41DD98F957506C">https://dx.doi.org/10.5285/B1211AD185E24B488D41DD98F957506C</a></p> <p>Individual image archive for camera 1 - Finney, D.; Groves, J.; Walker, D.; Dufton, D.; Moore, R.; Bennecke, D.; Kelsey, V.; Reger, R.S.; Nowakowska, K.; Bassford, J.; Blyth, A. (2023): DCMEX: cloud images from the NCAS Camera 11 from the New Mexico field campaign 2022. NERC EDS Centre for Environmental Data Analysis, 15 December 2023. <a href="https://dx.doi.org/10.5285/b839ae53abf94e23b0f61560349ccda1">https://dx.doi.org/10.5285/b839ae53abf94e23b0f61560349ccda1</a></p> <p>Individual image archive for camera 2 - Finney, D.; Groves, J.; Walker, D.; Dufton, D.; Moore, R.; Bennecke, D.; Kelsey, V.; Reger, R.S.; Nowakowska, K.; Bassford, J.; Blyth, A. (2023): DCMEX: cloud images from the NCAS Camera 12 from the New Mexico field campaign 2022. NERC EDS Centre for Environmental Data Analysis, 15 December 2023. <a href="https://dx.doi.org/10.5285/d1c61edc4f554ee09ad370f6b52f82ce">https://dx.doi.org/10.5285/d1c61edc4f554ee09ad370f6b52f82ce </a></p> <p>Oklahoma University radar data - <a href="https://doi.org/10.5281/zenodo.8051426">https://doi.org/10.5281/zenodo.8051426</a></p> <p> </p>
PALM Model System v 6.0 input and configuration files for coupled large eddy simulations of land surface heterogeneity effects and diurnal evolution of late summer and early autumn atmospheric boundary layers during the CHEESEHEAD19 field campaign
<p>Namelist, configuration and forcing files for the PALM Model System 6.0 revision number 21.10-rc.2 used for the numerical simulations Coupled Large Eddy Simulations of land surface heterogeneity induced atmospheric boundary layer response during the CHEESEHEAD19 field campaign.</p>
2DVD dataset for GMD publication - Simulated prognostic approach of graupel density in a bulk-type cloud microphysics scheme and evaluation during the ICE-POP field campaign
<p>This archive contains the 2DVD measurement of graupel particles used in the GMD paper "Simulated prognostic approach of graupel density in a bulk-type cloud microphysics scheme and evaluation during the ICE-POP field campaign".</p><p>For each identified graupel particle, the following are included:</p><ul><li>Volume-equivalent diameter (mm)</li><li>Density (g cm-3)</li><li>Fall velocity (m s-1)</li></ul>
Simulations for convection during the intensive observation period of the TWP-ICE field campaign: results from cloud-resolving model and convective parameterization schemes
<p>Simulated convections from cloud-resolving model and convective parameterization schemes during the intensive observation period of the TWP-ICE field campaign, which are used to investigate the scale-awareness problem of convective parameterization schemes. The corresponded observations are also included in this dataset.</p>
TEAMx-PC22 (TEAMx pre-campaign 2022) - Animations of radial velocity and coplanar-retrieved horizontal wind fields from KITcube Leosphere/Vaisala Windcube WLS200s-124 and WLS200s-159
<p><strong>Abstract</strong></p> <p>This data set was collected during the TEAMx pre-campaign in summer 2022 (TEAMx-PC22) in the Inn Valley Target Area, Austria.</p> <p><strong>Data Description</strong></p> <p>This data set is comprised of 64 daily .mp4 files showing:</p> <ul> <li>post-processed radial velocity fields sampled by KITcube Leosphere/Vaisala Windcube WLS200s-124 and WLS200s-159</li> <li>their coplanar-retrieved horizontal wind field output</li> <li>additionally, horizontal wind speed and direction sampled by the KITcube Vaisala Windcube v2.1 (WLS7-1489) at 60-m above ground level is added as an independent measurement for subjective validation of the coplanar-retrieved wind</li> </ul> <p>The wind fields shown in the animations originate from an accompanying Zenodo data set (DOI: 10.5281/zenodo.7212801), where complete information concerning lidar locations, scan parameters, and post-processing may be found.</p>
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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.