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497 results for “campaign”
Data set and classification method for low quality web traffic identification in video marketing campaigns
<p>Final outcomes of the InPreVi (AI4Media) project developed in 2022. </p> <p>1. Data set describing the statistics of the video ad marketing campaigns</p> <p>2. Script for web traffic classification</p>
TEAMx-PC22 (TEAMx pre-campaign 2022) – DWD AWS dataset for the Inn Valley exit area
<p>This dataset contains data measured at 5 automatic weather stations operated by the German Meteorological Service (DWD) during the TEAMx pre-campaign 2022. More details about TEAMx can be found at <a href="http://www.teamx-programme.org/">http://www.teamx-programme.org</a>.</p> <p><strong>DATA SET DESCRIPTION</strong></p> <p><strong>1. Measurement location, instrumentation and measured variables</strong></p> <p>The following table lists the station locations and available measurements. Data of the automatic weather stations is provided from the given start date until 19.10.2022 23:50 at a temporal resolution of 10min. If not noted otherwise, wind, temperature, humidity and pressure are measured at 2m above ground, precipitation at 1m above ground.</p> <table> <thead> <tr> <th scope="col">Station name</th> <th scope="col">start of deployment</th> <th scope="col">location and elevation</th> <th scope="col">instruments</th> <th scope="col">measured variables</th> </tr> </thead> <tbody> <tr> <td>Brannenburg</td> <td>24.06.2022</td> <td> <p>47.742360 N</p> <p>12.121712 E</p> <p>456 m MSL</p> </td> <td> <p>LTS2000, HMP45d, Gill,</p> <p>mSonic3, PTB330, CNR4,</p> <p>Pluvio, HFP01SC</p> </td> <td> <p>U_xm,V_xm,W_xm (2m*,4m,10m*)</p> <p>T, TX, TN, RH, P, RR, GSR, RSR, ALR, SLR</p> </td> </tr> <tr> <td>Flintsbach</td> <td>02.06.2022</td> <td> <p>47.728401 N</p> <p>12.127413 E</p> <p>468 m MSL</p> </td> <td>LTS2000, HMP45d, Thies</td> <td>WDIR, WSPEED, T, TX, TN, RH</td> </tr> <tr> <td>Hohe Asten</td> <td>02.06.2022</td> <td> <p>47.703476 N</p> <p>12.115288 E</p> <p>1226 m MSL</p> </td> <td>LTS2000, HMP45d, Thies</td> <td>WDIR, WSPEED, T, TX, TN, RH</td> </tr> <tr> <td>Kiefersfelden</td> <td>05.06.2022</td> <td> <p>47.607147 N</p> <p>12.202737 E</p> <p>473 m MSL</p> </td> <td> <p>LTS2000, HMP45d, Thies,</p> <p>PTB110</p> </td> <td>WDIR, WSPEED, T, TX, TN, RH, P</td> </tr> <tr> <td>Oberaudorf</td> <td>05.06.2022</td> <td> <p>47.654282 N</p> <p>12.180008 E</p> <p>466 m MSL</p> </td> <td>LTS2000, HMP45d, Thies</td> <td>WDIR, WSPEED, T, TX, TN, RH</td> </tr> </tbody> </table> <p> </p> <p> </p> <p><em>Variable abbreviations: U_xm, V_xm=horizontal wind components xm above ground, W=vertical wind component, WDIR=wind direction [°], WSPEED= wind speed [m/s], T=average temperature [°C], TX=maximum temperature [°C], TN=minimum temperature [°C], RH=relative humidity [%], P=pressure [hPa], GSR=global shortwave radiation [W/m<sup>2</sup>], RSR=reflected shortwave radiation [W/m<sup>2</sup>], ALR=atmospheric longwave radiation [W/m<sup>2</sup>], SLR= surface longwave radiation [W/m<sup>2</sup>]</em></p> <p> </p> <p> </p> <p><strong>* </strong>due to quality issues, wind components in 2 and 10m at Brannenburg will be made available at a later date.</p> <p><strong><em>2. Data corrections</em></strong></p> <p>Basic quality checks were applied to the data. Missing values are indicated by NA.</p> <p><strong>3. Data file structure</strong></p> <p>The data are provided in separate .txt files for each station. Files are tab separated. The first column lists the date in the format year-month-day hour:minutes:second. The following column names correspond to the variables listed in section 1.</p> <p><strong>4. Contact</strong></p> <p>Contact Katrin.sedlmeier(at)dwd.de.at for any questions regarding the data set.</p>
IS471 - Decay spectroscopy data from the CRIS francium campaign 2014
<p>Decay spectroscopy data from the November 2014 campaign of the experiment IS471 on francium isotopes with the CRIS experimental setup at CERN ISOLDE.</p>
INP Teflon filter measurements and OPC data from the WesCon campaign
<p>Ice Nucleating Particle (INP) measurements taken during the Met Office's Wessex Convection Experiment (WesCon) in Jun-Aug 2023. The samples were collected on Sartorius 47 mm 1.2 um PTFE filters onboard the FAAM aircraft and at the Netheravon field site (51.24 deg N, 1.78 deg W). Aircraft filters are in the "FAAM Subtracted Samples" folder and start with a "C". Ground measurements are in the "Digitel Subtracted Samples" folder and start with "S". Information about each measurement can be found in the respective info csv file. Handling blanks were taken throughout the campaign and the data has been background subtracted.</p> <p> </p> <p>The filters were analysed through the drop-on method, which is used in Price et al., 2014 and Raif et al., 2024 (Preprint).</p>
Physical & Chemical Parameters from Lakes in Northern Lower Michigan for RANN Campaign based at the University of Michigan Biological Station, Pellston, MI (1972-1975)
In the early 1970s the University of Michigan Biological Station initiated a series of research projects concerning the quality of the lakes in Northern Michigan under the support of the National Science Foundation through the Research Applied to National Needs (RANN) program. Dr. John Gannon joined the Biological Station's staff in 1972 and directed this program for six years. This research had significant impacts on water quality management of lakes throughout Northern Michigan. The Biological Station continued to receive grants for water quality research for several years after the RANN program had terminated.
Physical & Chemical Parameters from Lakes in Northern Lower Michigan for RANN Campaign based at the University of Michigan Biological Station, Pellston, MI (1972-1975)
In the early 1970s the University of Michigan Biological Station initiated a series of research projects concerning the quality of the lakes in Northern Michigan under the support of the National Science Foundation through the Research Applied to National Needs (RANN) program. Dr. John Gannon joined the Biological Station's staff in 1972 and directed this program for six years. This research had significant impacts on water quality management of lakes throughout Northern Michigan. The Biological Station continued to receive grants for water quality research for several years after the RANN program had terminated.
Data related to upward lightning events from the Säntis Tower (Switzerland) during the LMA summer campaign 2017
<p>This dataset is associated with the paper titled "Meteorological aspects of self-initiated upward lightning at the Säntis tower (Switzerland)" accepted for publication in Journal of Geophysical Research – Atmospheres (19 September 2019)</p> <p>The data includes lightning mapping array (LMA) data from 3 days of the summer of 2017 measurement campaign that was carried out in the surroundings of the Säntis Mountain (2,505 m ASL, Switzerland). The LMA was deployed to measure upward lightning activity at the Säntis tower. Additional data used in the analysis includes lightning currents from the instrumented Säntis Tower (EPFL and HEIG-VD); Polarimetric weather radar data from the Albis C-band radar (MeteoSwiss); Vertical temperature profiles from the COSMO model and; Wind data from the Säntis meteorological station (MeteoSwiss).</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>
ERT data collected at the Corona volcano (Lanzarote, Canary Islands) during the European Space Agency (ESA) testing campaign PANGAEA-X 2017
<p>This dataset contains the ERT (Electrical Resistivity Tomography) data collected between 22 and 23 November 2017 at the Corona volcano (Lanzarote, Canary Islands, Fig. 1) for the detection of lava tubes and the stratigraphic investigation of planetary volcanic analogues. This geophysical survey was carried out within the European Space Agency (ESA) testing campaign PANGAEA-X 2017 (Bessone et al., 2018), aimed at integrating astronaut training-data collection, documentation, analogue field geology procedures with remote sensing and in situ geophysical methods. </p> <p>Two ERT profiles were acquired in NE-SW and NNE-SSW orientations (Fig. 1). These were located roughly orthogonal to the Corona lava tube system and as far as possible on top of the main lava tube axes. The longer profile, profile D, is 470 m in length and was obtained using 48 electrodes spaced 10 m apart. The profile orientation is from SW to NE (electrode 1 to 48). The profile was acquired to detect lava tubes in test site D (sub-area south) where the exact location of a lava tube was known thanks to a LiDAR TLS (Terrestrial Laser Scan) subsurface survey (Santagata et al., 2018). A shorter profile, profile E, is 235 m long and was obtained using 48 electrodes 5 m apart. The profile orientation is from SSW to NNE (electrode 1 to 48). This profile was acquired in test site E (sub-area north) to provide a more detailed investigation of the potential existence of inaccessible sections of the tube whose location could be indicated by the evidence of closely-spaced aligned collapse structures.</p> <p>Each profile was collected using measure sequences compounded by 276 Wenner-Schlumberger array quadrupoles which ensure high vertical resolution and signal amplitude and 328 dipole-dipole array quadrupoles which provide enhanced lateral resolution. A fully automatic multi-electrode resistivity meter SYSCAL Jr Switch-48 by IRIS Instruments (400 V max output voltage, 1200 mA max output current, 100 W max output power, <a href="http://www.iris-instruments.com/syscal-juniorsw.html">http://www.iris-instruments.com/syscal-juniorsw.html</a>), was used for data collection.</p> <p>At most of the measurement points, it was necessary to drill the basalt using a hand drilling machine in order to place the tips of the electrodes into the ground at a depth of approximately 40 cm. The electrodes also needed to kept moist to reduce contact resistance between the electrode and the ground. A large amount of water (up to 2 liters per point) was needed for profile D, situated in an area above the lava tubes with very porous dry soil cover.</p> <p>The dataset is presented as a spreadsheet format which has the "space" as separator and the ".txt" extension. The structure of such a file is the following one:</p> <p>#, El array, Spa1/4, Rho, Dev, M, Sp, Vp, In, Time, Spa5/12, M1/20</p> <p>- #: Data point number</p> <p>- El array: Electrode array</p> <p>- Spa. 1/4: four spacing parameters (corresponding to the electrode array – in m)</p> <p>- Rho: resistivity value (in Ohm.m)</p> <p>- Dev: standard deviation (quality factor, in %)</p> <p>- M: global chargeability value (induced polarization parameter (in mV/V – "=0" if only-resistivity data))</p> <p>- Sp: spontaneous polarization (measured just before the injection, in mV)</p> <p>- Vp: measured primary voltage (in mV)</p> <p>- In: injected current intensity (in mA)</p> <p>- Time: injection time (pulse duration, in s)</p> <p>- Spa. 5/8: other spacing parameters (in m)</p> <p>- Spa. 9/12: electrode elevation (in m)</p> <p>- M1/M20: partial chargeability values (induced polarization window (in mV/V – "=0" if only-resistivity data))</p> <p> </p> <p>Acknowledgements</p> <p>The authors are grateful to ESA and all PANGAEA-X 2017 staff, particularly Loredana Bessone, Matthias Maurer, Herve Stevenin and Igor Drozdovskiy for their participation in data collection during some of the experiments and to the MilesBeyond Team, particularly Francesco Maria Sauro for his logistical support. Regional and local remote sensing data were obtained by the Spanish Instituto Geográfico Nacional (https://www.ign.es) and Gobierno de Canarias (https://www.grafcan.es, <a href="https://opendata.sitcan.es/">https://opendata.sitcan.es</a>).</p> <p> </p> <p>References</p> <p>Bessone, L., et al., 2018, Testing technologies and operational concepts for field geology exploration of the Moon and beyond: the ESA PANGAEA-X campaign, Geophysical Research Abstract, #EGU2018-4013.</p> <p>Santagata, T., Sauro, F., Massironi, M., Pozzobon, R., Del Vecchio, U., Lazzaroni, M., Damiano, N., Tonello, M., Tomasi, I., Martínez-Frìas, J. and Mateo Medero, E., 2018. Subsurface laser scanning and photogrammetry in the Corona Lava Tube System, Lanzarote, Spain, EGU General Assembly 2018, pp. EGU2018-5290.</p>
CPTu Lisbon pilot site campaign 2
<p>Raw CPTu data from the field investigation works at the Lisbon pilot site of the LIQUEFACT project.</p> <p>Location map of the site investigation points and further details are provided in Viana da Fonseca et al. (2019).</p> <p>Viana da Fonseca, A., Ferreira, C., Coelho, C., Coelho, J., Quintero, J., Rios, S., Millen, M., Cordeiro, D. (2019). Chapter 3 of Deliverable D2.7 - Methodology for assessment of earthquake‐induced risk of soil liquefaction at the four European testing sites (microzonation). LIQUEFACT project, Horizon 2020 European Union funding for Research & Innovation, GA nº. 700748 (<a href="http://www.liquefact.eu">www.liquefact.eu</a>).</p>
CPTu Lisbon pilot site campaign 1
<p>Raw CPTu data from the field investigation works at the Lisbon pilot site of the LIQUEFACT project.</p> <p>Location map of the site investigation points and further details are provided in Viana da Fonseca et al. (2019).</p> <p>Viana da Fonseca, A., Ferreira, C., Coelho, C., Coelho, J., Quintero, J., Rios, S., Millen, M., Cordeiro, D. (2019). Chapter 3 of Deliverable D2.7 - Methodology for assessment of earthquake‐induced risk of soil liquefaction at the four European testing sites (microzonation). LIQUEFACT project, Horizon 2020 European Union funding for Research & Innovation, GA nº. 700748 (<a href="http://www.liquefact.eu">www.liquefact.eu</a>).</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>
Process map for casting a long-term experimental campaign on RC shrinkage cracking.
<p>This dataset presents the process map that was developed for the casting of a long-term experimental campaign on reinforced concrete (RC) slabs subjected to the combined effect of restrained shrinkage and vertical loads.<br> This experimental campaign was performed in the scope of the FCT project "IntegraCrete: A comprehensive multi-physics and multi-scale approach to the combined effects of applied loads and thermal/shrinkage deformations in reinforced concrete structures''.<br> The results from this experimental campaign are presented in Gomes et al (2020), while the conceptualization, planning and experimental procedures are described in detail in Gomes et al (2021). The latter is supported by this process map to describe the micromanagement plan that was devised for the casting day.<br> 14 people were involved in the casting of 3 slabs and 2 complementary specimens inside a highly instrumented climatic chamber, as well as 38 specimens for concrete characterization at different ages and 12 load blocks to use as vertical loads. This process map was developed with the standard Business Process Model and Notation (BPMN).</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>
Data and code for "Assessment of the accuracy in UV index modelling using the UVIOS2 system during the UVC-III campaign"
<p>Datasets nd codes that have been used for the paper with tittle "Assessment of the accuracy in UV index modelling using the UVIOS2 system during the UVC-III campaign"</p>
[5G-IANA] UC6 - 5G Measurement Campaign
<p>5G network metrics (throughput, round trip time, RSRQ, and RSRP) in a particular area are collected between Nokia's Edge server and the OBU. The 5G network status was monitored using a tool developed by UULM/UDE. This dataset serves as the basis for training an LSTM model, enabling it to forecast future quantiles of RTT and throughput."</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>
Svalbard Protect Our Waters campaign video - Norwegian
<p>Video for the social awareness campaign Protect Our Waters developed as part of the CLIMAREST EU Horizon 2020 project. The video is provided in several formats (16:9, 9:16, and 1:1) for use in different applications. The language in the video is Norwegian. </p>
Dataset of the AVIRIS-NG methane campaign in Romania in 2021
<p>The dataset contains CH4 emission data from the AVIRIS-NG campaign conducted in Romania in July 2021.</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.