Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
54
datasets available to search
ShareScore release 0.7.1
Dataset results
54 results for “atmospheric deposition”
Flexpart input/output data for "An optimisation method to improve modelling of wet deposition in atmospheric transport models: applied to FLEXPART v10.4"
<p>Flexpart input and output data for the manuscript/paper "An optimisation method to improve modelling of wet deposition in atmospheric transport models: applied to FLEXPART v10.4" by S. Van Leuven, P. De Meutter, J. Camps, P. Termonia and A. Delcloo.</p>
Data from: Conditional vulnerability of plant diversity to atmospheric nitrogen deposition across the United States
Open the record for dataset details and reuse information.
Data from: Atmospheric deposition exposes Qinling pandas to toxic pollutants
Open the record for dataset details and reuse information.
Data from: Atmospheric N deposition alters co-occurrence, but not functional potential among saprotrophic bacterial communities
Open the record for dataset details and reuse information.
Data for: New insights into multi-component atmospheric wet deposition across China: A multidimensional analysis
Open the record for dataset details and reuse information.
Data from: Paleolimnological assessment of wildfire-derived atmospheric deposition of trace metal(loid)s and major ions to subarctic lakes (Northwest Territories, Canada)
Open the record for dataset details and reuse information.
Supplementary material 1 from: Balestrini R, Delconte C, Buffagni A, Fumagalli A, Freppaz M, Calvo E, Buzzetti I (2019) Dynamic of nitrogen and dissolved organic carbon in an alpine forested catchment: atmospheric deposition and soil solution trends. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 41-66. https://doi.org/10.3897/natureconservation.34.30738
: Data type: statistical data
Atmospheric particle deposition on mesquite leaves in the central Arizona-Phoenix area
One technique that has been used to analyze individual atmospheric particles is automated electron microscopy. This technique gives the size, shape, and elemental composition of individual particles and has been used successfully for particles collected on filters in particle samplers. The goal of the current project is to mimic this electron microscopy analysis technique for particles deposited on leaf surfaces. Preliminary results demonstrate that electron microscopy can be used successfully to analyze individual particles on leaf surfaces. The ability to analyze atmospheric particles on leaf surfaces leads to a specific application: determining the spatial distribution of atmospheric particles throughout urban areas, namely Phoenix. Evidence from past studies in Phoenix indicate that the distribution of particle types is non-uniform, and sampling with a limited number of particle samplers is not adequate for capturing this variability. Using leaves gives the ability to sample in more locations. In a preliminary study, three sampling locations from the Phoenix area - a desert, an urban, and a suburban site - were chosen as test sites to determine whether different particle types could be observed on leaf surfaces from the different sites. The particle types from the desert site contain only elements comprising desert dust. The particle types from the urban and suburban sites consist partially of elements found in desert dust, but they also contain sulfur, which is likely from anthropogenic sources within the urban area. These preliminary results indicate that the distribution of particle types throughout an urban area can be determined from the analysis of particles on leaf surfaces. A more detailed study is in progress. Leaves from twenty-eight sampling sites around the Phoenix area have been collected and will be analyzed with a method similar to that used in the preliminary study. The twenty-eight sites were chosen based on land-use data. In addition to determi
Atmospheric deposition sampling across an urban gradient, using passive resin collectors
One of the "Grand Challenges" for environmental biology is to increase understanding of human perturbations of biogeochemical cycles (NRC 2001). One route for these perturbations to be affected is through the transfer of pollutants from the atmosphere to the biosphere. As part of the Ecosystem Response to Material Deposition from the Urban Atmosphere (N. B. Grimm, PD) study, CAP-LTER scientists are investigating the fate of anthropogenic organic C (oC) and inorganic nitrogen (iN) deposition and their effects on ecosystem functioning in unmanaged deserts within and near cities. We hypothesize that biogeochemical cycling will be qualitatively different in urban environments due to large inputs of biologically available C and N from the atmosphere. As part of this project, we will deploy filter banks equipped with size-selective aerosol inlets to collect particulate oC and iN compounds in the urban atmosphere. In order to estimate fluxes of these nutrients from the concentration measurements, we plan to deploy weather stations and to analyze these data to estimate deposition rates.
Global Maps of Atmospheric Nitrogen Deposition, 1860, 1993, and 2050
This data set provides global gridded estimates of atmospheric deposition of total inorganic nitrogen (N), NHx (NH3 and NH4+), and NOy (all oxidized forms of nitrogen other than N2O), in mg N/m2/year, for the years 1860 and 1993 and projections for the year 2050. The data set was generated using a global three-dimensional chemistry-transport model (TM3) with a spatial resolution of 5 degrees longitude by 3.75 degrees latitude (Jeuken et al., 2001; Lelieveld and Dentener, 2000). Nitrogen emissions estimates (Van Aardenne et al., 2001) and projection scenario data (IPCC, 1996; 2000) were used as input to the model. The model output grids were subdivided into 50 km x 50 km sub-grids to create spatially defined deposition maps. The gridded data were assigned to continental and marine regions using boundaries delineated on a world data coverage from ESRI (1993).The data are stored as ASCII text files (.txt), in tab delimited format. The data can be used to produce maps that illustrate both the temporal and spatial variability of atmospheric deposition of N, NHx, and NOy as well as the degree of alteration and regional heterogeneity in deposition through time. Nine data files are provided to produce the following maps:Global N Deposition (1860, 1993, and 2050)Global NHx Deposition (1860, 1993, and 2050)Global NOy Deposition (1860, 1993, and 2050).
Data produced as part of the study entitled "Thermal infrared spectral characteristics of Martian dust deposits and evidence for atmosphere-regolith interactions"
<p>These files were produced as part of the study entitled “Thermal infrared spectral characteristics of Martian dust deposits and evidence for atmosphere-regolith interactions”, published in Icarus. If you use the data, please kindly cite our paper:</p> <p>Rogers, A. D., S. W. Ruff, and M. D. Smith (2023), Thermal infrared spectral characteristics of Martian dust deposits and evidence for atmosphere-regolith interactions, Icarus, doi: <a href="https://doi.org/10.1016/j.icarus.2023.115687">https://doi.org/10.1016/j.icarus.2023.115687</a></p> <p>Files contained in this archive:</p> <p>MAPS -- all are 4 pixels per degree, centered at 0 deg longitude and latitude (-180 to 180 E, -90 to 90N)</p> <p>surface_spectral_emissivity.tif -- the global surface emissivity data set (GeoTIFF), 106 bands<br> surface_spectral_emissivity_noiserem.tif -- the global surface emissivity data set, 106 bands, noise removed (GeoTIFF)<br> DCI.tif -- DCI map (GeoTIFF)<br> surf_emiss_9um.tif -- the 9 micron emissivity map (GeoTIFF)<br> surf_emiss_32um.tif -- the 32 micron emissivity map (GeoTIFF)<br> SAM_maskedDCI96.tif -- the 1-SAM map (GeoTIFF)<br> tes1630map.tif -- the 1630cm-1 map (GeoTIFF)<br> tesCFmap.tif -- the CF map (GeoTIFF)<br> tesCFmapchi.tif -- the chi-squared error map to the parabolic fit for CF (GeoTIFF)<br> broadband_emissivity_150K.tif -- broadband emissivity at 150K<br> broadband_emissivity_220K.tif -- broadband emissivity at 220K<br> broadband_emissivity_300K.tif -- broadband emissivity at 300K<br> mask_DCI_96.tif -- all pixels with DCI <0.96 (GeoTIFF)<br> null_data_mask.tif -- all pixels with data (GeoTIFF)</p> <p>ENVI ROI files<br> DCI_bins.roi -- ENVI ROI files for the DCI bins used to calculate spectral averages in Fig. 6a-b<br> SAM_rois.roi -- ENVI ROI files for the 21 locations shown in Fig S2</p> <p>SPECTRA<br> DCI_bin_means.txt -- spectra shown in Fig 6a<br> DCI_bin_means_noiserem.txt -- spectra shown in Fig 6b<br> sam_roi_means_noiserem.txt -- spectra shown in Fig 9a</p> <p>OTHER<br> emissivity_xaxis -- wavenumber values for surface emissivity data set and spectra</p>
JGR atmosphere deposit
<p>The data is used in the JGR Atmosphere paper.</p>
Integrative evaluation of biomonitoring data and modelings indicating atmospheric deposition of heavy metals, link to research data and scientific software
<p>Research data and scientific software related to integrative statistical analyses based on deposition data calculated with the model LOTOS-EUROS (LE) and the EMEP/MSC-East model (Germany, Europe) and Biomonitoring data on As, Cd, Cr, Cu, Ni, Pb, Zn concentrations in moss, leaves and needles and soil derived from the European Moss Survey (EMS), the German Environmental Specimen Bank (ESB) and the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests (ICP Forests). The modelled HM deposition and respective concentrations in moss (EMS), leaves and needles (ESB, ICP Forests) and soil (ICP Forests) were investigated for their statistical relationships. Regression kriging was applied to calculate maps of Cd and Pb deposition across Germany.</p>
Modelling spatial patterns of correlations between concentrations of heavy metals in mosses and atmospheric deposition across Europe in 2010, link to research data and scientific software
<p>Research data and scientific software related to a study investigating the correlations between the concentrations of nine heavy metals in moss and atmospheric deposition within ecological land classes covering Europe. Additionally, it is examined to what extent the statistical relations are affected by the land use around the moss sampling sites.</p>
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.