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2,322 results for “precipitations”
Rain gauge data used in the study "Characteristics of Precipitation and Mesoscale Convective Systems over the Peruvian Central Andes in Multi 5-Year Convection-Permitting Simulations"
<p>The rain gauge data in Peru and Brazil used in the study,</p> <p>Yongjie Huang, Ming Xue, Xiao-Ming Hu, et al. Characteristics of Precipitation and Mesoscale Convective Systems over the Peruvian Central Andes in Multi 5-Year Convection-Permitting Simulations. <em>ESS Open Archive .</em> November 14, 2023.<br><span>DOI: <a href="https://doi.org/10.22541/essoar.170000370.07634797/v1" target="_blank" rel="noopener noreferrer">10.22541/essoar.170000370.07634797/v1</a></span></p> <p><span>The original data source:</span></p> <ul> <li>The rain gauge data in Peru are available at <a href="https://piscoprec.github.io/webPISCO/en/raingauges">https://piscoprec.github.io/webPISCO/en/raingauges</a> (last access: 18 July 2021).</li> <li>The rain gauge data in Brazil are available at <a href="https://bdmep.inmet.gov.br">https://bdmep.inmet.gov.br</a> (last access: 19 January 2023).</li> </ul>
Moss species and precipitation mediate experimental warming stimulation of growing season N2 fixation in subarctic tundra
<p>Climate change in high latitude regions leads to both higher temperatures and more precipitation but their combined effects on terrestrial ecosystem processes are poorly understood. In nitrogen (N) limited and often moss-dominated tundra and boreal ecosystems, moss-associated N<sub>2</sub> fixation is an important process that provides new N. We tested if high mean annual precipitation enhanced experimental warming effects on growing season N<sub>2</sub> fixation in three common arctic-boreal moss species adapted to different moisture conditions and evaluated their N contribution to the landscape level. We measured <em>in situ</em> N<sub>2</sub> fixation rates in <em>Hylocomium splendens</em>, <em>Pleurozium schreberi</em> and <em>Sphagnum</em> spp. from June to September in subarctic tundra in Sweden. We exposed mosses occurring along a natural precipitation gradient (mean annual precipitation: 571-1155 mm) to eight years of experimental summer warming using open-top chambers before our measurements. We modelled species-specific seasonal N input to the ecosystem at the colony and landscape level. Higher mean annual precipitation increased N<sub>2</sub> fixation, especially during peak growing seasons and in feather mosses. For <em>Sphagnum-</em>associated N<sub>2</sub> fixation,<em> </em>high mean annual<em> </em>precipitation reversed a small negative warming response. By contrast, in the dry-adapted feather moss species higher mean annual precipitation led to negative warming effects<em>.</em> Modelled total growing season N inputs for <em>Sphagnum </em>spp. colonies were 2-3 times that of feather mosses on an area basis. However, at the landscape level where feather mosses were more abundant, they contributed 50% more N than <em>Sphagnum</em>. The discrepancy between modelled estimates of species-specific N input via N<sub>2</sub> fixation at the moss core versus ecosystem scale exemplifies how moss cover is essential for evaluating the impact of altered N<sub>2</sub> fixation. Importantly, combined effects of warming and higher mean annual precipitation may not lead to similar responses across moss species, which could affect moss fitness and their abilities to buffer environmental changes. </p>
FIGURE 1. Translucent 3D in Calcite precipitation forms crystal clusters and muscle mineralization during the decomposition of Cambarellus diminutus (Decapoda: Cambaridae) in freshwater
FIGURE 1. Translucent 3D-models of Cambarellus diminutus sample C7tank in combination with 3D-models of calcite clusters, which precipitated inside the carcass during its decomposition in freshwater. 1.1 3D-model without calcite clusters on day 1. 1.2 3D-model on day 2 showing a small amount of calcite clusters inside the cephalothorax and the first tergite. 1.3 3D-model on day 4 showing a lot of calcite clusters inside the antennules, the left major propodus, the rostrum, the cephalothorax, the tergites, the uropods, and the telson. 1.4 3D-model on day 7, showing widespread calcite clusters at the inner side of the carapace of the carcass except the dorsal side of the cephalothorax and the tergites (see also Figure.4.1). 3D-models were reconstructed based on µ-CT data.
FIGURE 6. 3D in Calcite precipitation forms crystal clusters and muscle mineralization during the decomposition of Cambarellus diminutus (Decapoda: Cambaridae) in freshwater
FIGURE 6. 3D-models and SEM-images of sample C3tank. 6.1 3D-model of the whole crayfish in dorso-lateral view. 6.2 3D-model of the chela of the first left pereiopod in combination with a SEM-image of the calcified muscle of the dactyl. 6.3 SEM-image of a calcified muscle from the inside of the dactyl of the chela of the first left pereiopod. 3Dmodels were reconstructed based on µ-CT data.
FIGURE 5 in Calcite precipitation forms crystal clusters and muscle mineralization during the decomposition of Cambarellus diminutus (Decapoda: Cambaridae) in freshwater
FIGURE 5. SEM-images of several diverse calcite structures which precipitated inside the carcasses. 5.1 Bispherical structure with mineralized setae and a part of the cuticle layers. 5.2 and 5.3 Spherical structures. 5.4 Elliptical structure which is tapering at the left side. 5.5 Complex structure. 5.6 Bispherical structure with mineralized setae and a part of the cuticle layers.
FIGURE 8 in Calcite precipitation forms crystal clusters and muscle mineralization during the decomposition of Cambarellus diminutus (Decapoda: Cambaridae) in freshwater
FIGURE 8. Hypothetical scenarios of calcium dissolution and precipitation of calcite clusters inside decomposing crayfish without (8.1-2) and with gastroliths in tank water (8.3-4). 8.1 Low pH-values around and inside the carcass caused by an enzymatic self-digestion (autolysis) and bacterial activity release dissolved calcium ions which migrate out of the carapace into the body cavity and into the environment (red arrows). 8.2 Increase of the pH-value inside the carcass caused by microbial activities during the putrefaction result in a precipitation of calcite clusters at the inner side of the carapace, consisting of previously dissolved calcium ions out of the cuticle layers. 8.3 Low pH-values around and inside the carcass caused by enzymatic self-digestion (autolysis) and bacterial activity resulted in an accumulation of dissolved calcium ions (red arrows). In addition, low pH conditions inside the stomach and decay of the "gastrolith-cavity-membrane" resulted in dissolving calcium ions from the gastroliths. 8.4 An increase of the pHvalue inside the carcass, along the inner side of the carapace, caused by microbial activities during the putrefaction resulted in a precipitation of calcite clusters by previously dissolved calcium ions out of the cuticle layers and gastroliths.
FIGURE 7 in Calcite precipitation forms crystal clusters and muscle mineralization during the decomposition of Cambarellus diminutus (Decapoda: Cambaridae) in freshwater
FIGURE 7. Representative Raman spectra of a mineralized muscle of Cambarellus diminutus (sample C3tank) and observed crystal clusters compared to Raman reference spectra of crystalline calcite and apatite, taken from the RRUFF Raman data base (*R040170, #R060070, Laetsch and Downs, 2006). Raman spectra of the mineralized muscle as well as of the crystal cluster exhibit all main Raman bands typically observed in well crystallized calcite, including the lattice modes, which are absent in amorphous calcium carbonate (Wang et al., 2011).
OMS project for Kriging interpolation of precipitation and temperature in Isarco River Valley
<p>The OMS project contains the simulations, jar files of the components, the inputs and the ouputs used in the Chapter 6 of the thesis " A flexible approach to the estimation of water budgets and its connection to the travel time theory ", Bancheri (2017) and in the article "The design and implementatation of Kriging models in the Object Modelling System v.3.", Bancheri et al. 2018. The project allows the Kriging interpolation of the precipitation and temperature, using data from Isarco River Valley. </p>
Atmospheric_river_precipitation_predictability_data
<p>Data for the manuscript entitled "Predictability of Extreme Precipitation Associated With Atmospheric Rivers in Western U.S. Watersheds".</p> <p> </p> <p>It includes daily precipitation data from WRF and PRISM. Also includes atmospheric river information derived from ARTMIP Tier 1 archive.</p> <p> </p> <p>The tools used to generate the figures in the paper is at: <a href="https://github.com/lucas-uw/Chen-2018-GRL">https://github.com/lucas-uw/Chen-2018-GRL</a></p> <p> </p> <p>If you use this dataset, please cite the following paper:</p> <p> </p> <p>Chen, X., Leung, L. R., Gao, Y., Liu, Y., Wigmosta, M., & Richmond, M. (2018). Predictability of extreme precipitation in western U.S. watersheds based on atmospheric river occurrence, intensity, and duration. Geophysical Research Letters, 45, 11,693–11,701. <a href="http://doi.org/10.1029/2018GL079831">https://doi.org/10.1029/2018GL079831</a></p> <p> </p> <p>Chen, X., Leung, L. R., Wigmosta, M., & Richmond, M. (2019). Impact of Atmospheric Rivers on Surface Hydrological Processes in Western U.S. Watersheds. Journal of Geophysical Research: Atmospheres, <a href="http://doi.org/10.1029/2019JD03468">https://doi.org/10.1029/2019JD03468</a></p>
A precipitation gradient drives change in macroinvertebrate composition and interactions within bromeliads.
<p>Tank bromeliads accumulate water inside their leaf axils, providing habitat for communities of aquatic macro invertebrates. Here we sampled the macro invertebrate community in 100 bromeliads along the sand dunes of coastal Brazil in the states of Rio de Janeiro and São Paulo. We sampled ten sites, seven of which were within the Jurubatiba National Park in Rio de Janeiro state, Brazil. The other three sites were located in the sand dunes of Arraial do Cabo (Rio de Janeiro), Marica (Rio de Janeiro), and Ilha Bela (Sao Paulo).</p> <p>We sampled all macroinvertebrate communities between March and May 2015. In each site, we dissected ten bromeliads (totalling 100 bromeliads across all sites) to collect all the invertebrates in each plant. Macroinvertebrates were counted and identified to genus level whenever possible. For every bromeliad, we measured a suite of environmental variables to assess the amount and quality of habitat available to the invertebrates including: the height (cm) and diameter (cm, measured as the maximum distance between leaf tips) of the plant, maximum water volume (mL, calculated by emptying the plant and calculating how much water the plant could hold before it overflowed), actual water volume (mL), longest leaf length (cm), longest leaf width (cm), number of leaves, canopy cover (% of shaded pixels in photos taken looking directly up from the bromeliad), total detritus (g dry mass), pH, oxygen concentration (% saturation), salinity (ppt), temperature (oC), and turbidity (NTU). Water chemistry and temperature variables were measured using a portable multiparameter waterproof meter in the field as soon as the water was collected from the plant.</p> <p>The zip file contains two csv files. Environment contains all the environmental variables described above, and Species_presence contains the species ID and whether it is present in a given bromeliad. </p> <p> </p>
Space time cube for precipitation derived from 24h hours of metereological radar data
<p>The animation depicts a 24h space-time cube derived from radar-metereologic data recorded by the x-band radar station of the South African Weather Service for the Liebenbergvlei in the Freestate, South Africa on December 31 2001. The temporal resolution (z) is 5 Minutes, starting on 2001-12-31 00:00:00 hours, ending on 2001-12-31 23:55:00 hours. Spatial resulution please see. The spatial resolution (xy) is 1km, covering a radius of 200km from the radar station. Tempospatial zones of weak precispitation are colored in blue, zones of severe precipitation are colored in yellow.</p> <p>Data processing was done in GRASS v6.x, visualisation was done in Paraview.</p>
The TRIple-frequency and Polarimetric radar Experiment for improving process observation of winter precipitation dataset
<p>The combined TRIple-frequency and Polarimetric radar Experiment for improving process observation of winter precipitation (TRIPEx) was a joint field experiment of the University of Cologne, the University of Bonn, the Karlsruhe Institute of Technology (KIT), and the Research Center Jülich. TRIPEx took place at the Jülich Observatory for Cloud Evolution (JOYCE) from 11 November 2015 until 04 January 2016. During this experiment, the X-, Ka- and W-band ground-based Doppler radars were used vertically pointing to observe the clouds. Here we provide the level 2 of the dataset collected during this campaign. Several step processing were applied to minimize the radar offset and attenuation. In addition, we provide the attenuation correction and the quality flags for each processing steps to allow the user to retrieve the data without our correction. The raw and the level 1 of the dataset are available for the users on request from the corresponding author.<br> </p>
Hemozoin-catalyzed precipitation polymerization as an assay for malaria diagnosis
<p>Source Data of "Hemozoin-catalyzed precipitation polymerization as an assay for malaria diagnosis".</p> <p>The raw data underlying each figure is represented in single data sheets.</p>
Permeability Prediction in Rocks Experiencing Mineral Precipitation and Dissolution: A Numerical Study
<p>Data sets for the Publication 'Permeability Prediction in Rocks Experiencing Mineral Precipitation and Dissolution: A Numerical Study' in Water Resources Research.</p>
The TRIple-frequency and Polarimetric radar Experiment for improving process observation of winter precipitation (version 2)
<p>The combined TRIple-frequency and Polarimetric radar Experiment for improving process observation of winter precipitation (TRIPEx) was a joint field experiment of the University of Cologne, the University of Bonn, the Karlsruhe Institute of Technology (KIT), and the Research Center Jülich. TRIPEx took place at the Jülich Observatory for Cloud Evolution (JOYCE) from 11 November 2015 until 04 January 2016. During this experiment, the X, Ka and W Band ground-based Doppler radars were used vertically pointing to observe the clouds. Here we provide level 2 of the dataset collected during this campaign. Several step processing were applied to minimize the radar offset and attenuation. In addition, we provide the attenuation correction and the quality flags for each processing steps to allow the user to retrieve the data without our correction. The raw and the level 1 of the dataset are available for the users on request from the corresponding author.</p>
Data for: Contrasting response of precipitation to aerosol perturbation in the tropics and extra-tropics explained by energy budget considerations. Dagan et al., 2019 GRL
<p>Data available form the simulation conducted with ICON.</p> <p>The data include the different terms of the energy budget from all the different simulations presented in the paper.</p> <p>ARC is the atmospheric radiative cooling, l is the precipitation, Qsh is the sensiblel heat flux and R is the residual (or the divergent term).</p> <p>ref is for the reference simulation while the rest of the files denote the location of the plume, its size (in degree) and the SSA. for example:</p> <p>p_40N_25_9_5.nc</p> <p>continue the precipitation for the simulation with a plume located at 40N, the size of the plume is 25 degrees and the SSA=9.5.</p> <p> </p> <p>The 3D varblees of temperature and winds are given is the files :</p> <p>monmean_atm_trop_2_4aod_10deg_8ssa_3D_atm_3d_ml.nc</p> <p>and:</p> <p>monmean_atm_40N_2_4aod_10deg_8ssa_3D_atm_3d_ml.nc</p> <p> </p> <p>for two different simulations with the same plume size and SSA but different plume locations (this data is used in Figs. 3 and 4 in the paper).</p> <p> </p> <p> </p>
Supplementary data S2 to: Global sinusoidal seasonality in precipitation isotopes
<p>Supplementary Materials to:</p> <p>Allen, S. T., Jasechko, S., Berghuijs, W. R., Welker, J. M., Goldsmith, G. R., and Kirchner, J. W.: Global sinusoidal seasonality in precipitation isotopes, Hydrol. Earth Syst. Sci. 2019. https://doi.org/10.5194/hess-2019-61.</p> <p>Please cite the above manuscript when using these resources. These files are all global maps at 5-minute resolution, spanning all longitudes and latitudes from 60 degrees south to 90 degrees north. See the methods section of the manuscript for more details. </p> <p> </p> <p>Precipitation δ<sup>18</sup>O amplitude (‰)</p> <p>Precipitation δ<sup>18</sup>O phase (day of peak value, in days from the summer solstice)</p> <p>Precipitation δ<sup>18</sup>O offset (‰)</p> <p>Precipitation δ<sup>2</sup>H amplitude (‰)</p> <p>Precipitation δ<sup>2</sup>H phase (day of peak value, in days from the summer solstice)</p> <p>Precipitation δ<sup>2</sup>H offset (‰)</p> <p>Precipitation amount amplitude (mm month<sup>-1</sup>)</p> <p>Precipitation amount phase (day of peak value, in days from the summer solstice)</p> <p>Precipitation amount offset (mm month<sup>-1</sup>)</p>
The North American Monsoon GPS Hydrometeorological Network 2017: Flux and Precipitation Data
<p>Water, energy and carbon fluxes and ancillary meteorological measurements and precipitation data taken during The North American Monsoon GPS-Hydrometeorological Network 2017. The experiment was carried out during the summer of 2017 in the state of Sonora in northwestern Mexico.</p>
Figure 3 in Effect of reed burning and precipitation on the breeding success of Great Reed Warbler, Acrocephalus arundinaceus, on a mining pond
Figure 3. Correlation between amount of precipitation and breeding success at Bager Pond, 2008–2011. Data points are Early and Late groups in 4 years.
Fig. 3 in Gastrointestinal parasite infestation in the alpine mountain hare (Lepus timidus varronis): Are abiotic environmental factors such as elevation, temperature and precipitation affecting prevalence of parasite species?
Fig. 3. Parasite infestation in faeces and ambient temperature. Correlation between parasite infestation in Alpine mountain hare faeces (n = 52) and average, minimal, and maximal temperature found in Vorarlberg (Austria) during the years 2014 and 2015. Count visualises the number of faecal samples. See text for details on statistics.
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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)
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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.