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497 results for “campaign”
PM2.5 Chemical characterisation campaign at Medellín from April 2019 to October 2022
<p>This dataset consists of a file "GHYGAM-Campaign_PM25-Chemistry_April2019-October2022_Medellin.xlsx", which contains data from the PM2.5 chemistry characterisation campaign conducted in Medellín at latitude 6.2372341 and longitude -75.610466 from April 2019 to October 2022 by GHYGAM (Grupo de Higiene y Gestión Ambiental - Politécnico Jaime Isaza Cadavid). The file includes the daily (noon-to-noon) concentration of each compound measured in ug/m^3 units, categorized by compound type as the sheet names:</p> <p>- <strong>PM2.5</strong>: this contains the concentration [ug/m^3] of PM2.5 measured by a Low-Vol and a High-Vol PM2.5 sampler. <br>- <strong>Minerals</strong>: this contains the concentration [ug/m^3] of Be, Na, Mg, Al, Si, K, Ca, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Mo, Ag, Cd, Sb, Ba, Hg, Pb and Minerals; this last is the total minerals concentration.<br>- <strong>Carbonaceous Matter</strong>: this contains the concentration [ug/m^3] of different species of Organic-Carbon (OC1, OC2, OC3, OC4, OC5) and Elemental-Carbon (EC1, EC2, EC3, EC4, EC5, EC6), pyrogenic Carbon (PyC), total Organic-Carbon (OC), total Elemental-Carbon (EC), total Carbon (C). This sheet also includes the ratio OC/EC, which is a non-dimensional index. <br>- <strong>Anions</strong>: this contains the concentration [ug/m^3] of F^-, Cl^-, NO3^-, SO4^2- and total anions as "Anions".<br>- <strong>Cations</strong>: this contains the concentration [ug/m^3] of K^+, Mg^2+, Ca^2+, Na^+ and total cations (Cations).<br>- <strong>Levoglucosan</strong>: Levoglucosan, Mannosan, Galactosan, Galactose, Glucose, Mannose, Glycerol, Inositol, Threitol, Mannitol, Arabinose, Xylose.</p> <p>The file also includes:</p> <p>- Calculated SOC: contains the concentration [ug/m^3] of the calculated secondary Organic Carbon (SOC). This is different from the other compounds calculated based on measured concentrations of OC and EC in this case. This sheet also contains SOC/OC, which is a non-dimensional index. <br>- DtE: provides information on the distance in days to various Long-range transport (LRT) air pollutants events caused by volcanic degassing, dust storms, and biomass-burning emissions</p> <p>For more detailed information about the campaign and the LRT events, please refer to (<a href="https://egusphere.copernicus.org/preprints/2024/egusphere-2024-695/">https://doi.org/10.5194/egusphere-2024-695</a>; Velásquez-García et al., 2024)[in publication process]. For further questions, please contact Miriam Gómez-Marín at (mgomez@elpoli.edu.co or miryamgomezmarin@gmail.com)[campaign leader].</p> <p><strong>Financial support.</strong> This campaign has been supported by the Ministry of Science, Technology, and Innovation (grant no. 2020000100410); Ecopetrol (grant no. 3017481); the International Atomic Energy Agency (grant no. RLA7023); the United Nations (grant no. RLA7023) and the Área Metropolitana de Medellín y el Valle de Aburrá (grant nos. 734, 787, and 671). </p>
FIGURE 5 in Kinorhyncha from the Iberian Peninsula: new data from the first intensive sampling campaigns
FIGURE 5. Maps showing the distribution of kinorhynch species along the Iberian coastline. Abbreviations: A, Atlantic Sea. M, Mediterranean Sea.
FIGURE 2. Light micrographs. A in Kinorhyncha from the Iberian Peninsula: new data from the first intensive sampling campaigns
FIGURE 2. Light micrographs. A, Campyloderes cf. vanhoeffeni, ventral view. B, Semnoderes armiger, female, ventral view. C, Centroderes spinosus, female, dorsal view. D, Echinoderes dujardinii, male, ventral view. E, Ventral detail of segments 9–11 in a female of Centroderes spinosus.
FIGURE 3. Light micrographs. A in Kinorhyncha from the Iberian Peninsula: new data from the first intensive sampling campaigns
FIGURE 3. Light micrographs. A, Pycnophyes zelinkaei, male, dorsal view. B, Pycnophyes carinatus, dorsal view. C, P. carinatus, ventral view, showing placids and the shape of the midsternal and episternal plates. D, P. zelinkaei, ventral view, showing the serrated pectinate fringe from segment 8. E, P. zelinkaei, dorsal view, showing the serrated pectinate fringe from segment 8.
FIGURE 1 in Kinorhyncha from the Iberian Peninsula: new data from the first intensive sampling campaigns
FIGURE 1. Map showing collecting areas and localities (close-up in the insets) yielding kinorhynchs along the Iberian Peninsula. Abbreviations: M, Mediterranean Sea; A, Atlantic Sea.
LoRaWAN Measurement Campaigns in Lebanon
<p>LoRaWAN is a promising technology for the internet of things (IoT) in order to support low power and long-range communications. However, real-world deployment and network optimization require an accurate path-loss modeling in order to estimate network coverage and performance.</p> <p>We carried out extensive measurement campaigns in both indoor and outdoor environments considering urban and rural areas in three locations in Lebanon (Saint Joseph University campus, Beirut city, and Bekaa valley). We further consider 3 different antennas heights of the end-device (0.2m-3m). This dataset provides these measurements campaigns, which enable us to derive Path-loss (PL) models for Lora communication. A text file “Readme_data” is provided to describe the measurements in addition a Matlab function of the proposed model “Path-Loss-Model” is given.</p>
Video related to the study "Spatial variability of Saharan dust deposition revealed through a citizen science campaign"
<p>This video is related to the manuscript "Spatial variability of Saharan dust deposition revealed through a citizen science campaign", by Dumont et al., submitted in December 2022 to the journal "Earth System Science Data".</p> <p>It illustrates the timeline of dust deposition, simulated by the atmospheric transport model MOCAGE.</p> <p> </p>
Data from cimel 1270 during September campaign
<p>AOD data calculated with cimel 1270 for the MAPP campaign in September 2022</p>
Data from cimel 1091 during September campaign
<p>AOD data calculated with cimel 1091 for the MAPP campaign in September 2022</p>
Emissivity spectra retrieved from airborne observations collected during the MACSSIMIZE field campaign
<p>Emissivity values retrieved from observations made using the MARSS and ISMAR radiometers on board the UK's BAe-146-301 (FAAM) atmospheric research aircraft during the MACSSIMIZE field campaign.</p>
First wind tunnel campaign - PERSEUS airfoil control
<p>Loads experienced by the airfoil designed in the european project PERSEUS</p>
Datasets for " Evaluation of the TOF-ACSM-CV for PM1.0 and PM2.5 measurements during the RITA-2021 field campaign"
<p>For the description of the dataset, please see the readme file included in the compressed file.</p>
Dataset related to the study "Spatial variability of Saharan dust deposition revealed through a citizen science campaign"
<p>This dataset contains the data and the measurements related to the manuscript "Spatial variability of Saharan dust deposition revealed through a citizen science campaign", by Dumont et al., submitted in December 2022 to the journal "Earth System Science Data".</p> <p> </p>
Data for 'Evaluating WRF-GC v2.0 predictions of boundary layer and vertical ozone profiles during the 2021 TRACER-AQ campaign in Houston, Texas'
<p>This repository provides observation datasets, model configuration files, model boundary conditions, model input files, and scripts used in the manuscript titled 'Evaluating WRF-GC v2.0 predictions of boundary layer and vertical ozone profiles during the 2021 TRACER-AQ campaign in Houston, Texas'.</p>
Data from field campaign project TACTIC EO-Africa
<p>Field ground data from the EO-Africa project Tactic (2023) and the previous field campaigns of 2016 and 2017. Leaf area index measurements with licor2200, spectral information measurements with ASD LabSpec spectrometer. Protocols of measurement. GPS points. Vegetation characteristics.</p>
Supporting data for: Measurement report: Airborne measurements of NOx fluxes over Los Angeles during the RECAP-CA 2021 campaign (doi:10.5194/egusphere-2023-601)
<p>We provide here the supporting dataset for our study on airborne measurements of NO<sub>x</sub> fluxes over Los Angeles during the RECAP-CA 2021 campaign.</p>
Switzerland 2023 Field Campaign - 360 degree Alpine Tethys rifted margin outcrops
<p>360 degree photospheres acquired during the 2023 summer data acquisition campaign targeting the pristine remnant outcrops of the Alpine Tethys rifted margins that are exposed in the Swiss Alps</p>
Campaign Pitcher
For more information about this item visit: https://bhpsite.org/ Source: Objaverse 1.0 / Sketchfab
An Evaluation of a Public Health Campaign in a High School Setting Targeting Pain Related Knowledge and Beliefs
ClinicalTrials.gov study NCT05636345. IPD Sharing: NO. Countries: 1. Publications: 5.
Controlled Trial to Evaluate a Local Information Campaign on Antibiotic Prescribing in Italy
ClinicalTrials.gov study NCT01604096. IPD Sharing: Not stated. Countries: 1. Publications: 2.
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.