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2,170 results for “clouds”
Separation, Preconcentration, and Determination of Lead, Cadmium and Iron Using Cloud Point Extraction with FAAS
<p>The concentration of heavy metals in drinking water is a significant standard for water quality evaluation and water pipeline corrosion detection. This research aimed to develop a new method based on cloud point extraction (CPE) for the separation, preconcentration and detection of lead, cadmium, and iron with flame atomic absorption spectrometry (FAAS) when the concentration of metallic trace elements in the sample was lower than the limits of detection (LOD). The experimental LODs for Pb, Cd and Fe, determined based on significant sensitivity change and break in the slope of the standard curve, were 0.01, 0.01, and 0.3 ppm, respectively. With joint utilization of both 2,6-diamino-4-phenyl-1,3,5-triazine (DPT) and 3-amino-7-dimethylamino-2-methylphenazine (Neutral Red, NR) as chelating agents, and using Triton X-114 as surfactant, those metallic elements could be effectively enriched in water samples. The preconcentration procedure was optimized by varying the experimental factors such as temperature, equilibrium time, pH, and the concentration of the chelates and surfactant. With the optimization, this method allowed the determination of these three trace elements with a 20-times reduced LOD and yielded substantial recoveries of 99.8, 97.3 and 99.3% for Pb, Cd and Fe, respectively.</p>
Data for "A Comparison on the E-change Pulses Occurring in the Bi-level Polarity-opposite Charge Regions of the Intra-Cloud Lightning Flashes"
<p>In a manuscript entitled “A Comparison on the E-change Pulses Occurring in the Bi-level Polarity-opposite Charge Regions of the Intra-Cloud Lightning Flashes”, lightning locations and electric field can be obtained through the following attachment. These files can be opened by MATLAB 2016 (or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citations.</p> <p> </p> <p>Data named as “Example_IC_Flash” consists of locations and an E-change waveform. Each location data has four columns, representing x (km), y (km), z (km), and time (ms). The E-change data has two columns, namely to time (ms) and E-change amplitude (DU).</p> <p> </p> <p>The other Data are stored using the form of ‘.fig’. Researchers can open these figures directly by using MATLAB.</p>
Long-term behavior of cloud-to-ground lightning activity over the Beijing metropolitan region in China
<p>The dataset here includes surface temperature, wind field, precipitation, UV aerosol index and lightning information analyzed in the paper "Long-term behavior of cloud-to-ground lightning activity over the Beijing metropolitan region in China".</p> <p> </p> <p> </p>
RARE: A Labeled Dataset for Cloud-Native Memory Anomalies
<p>The dataset is linked to the paper RARE: A Labeled Dataset for Cloud-Native Memory Anomalies (<a href="https://doi.org/10.1145/3416505.3423560">https://doi.org/10.1145/3416505.3423560</a>)</p> <p>This dataset has been generated using a microservice for injecting artificial byte stream in order to overload the nodes, provoking memory anomalies,</p> <p>It includes 2 files:</p> <p>- List_of_anomalies.csv includes the details on the anomalies injected</p> <p>- RARE.csv is the actual dataset.</p> <p>There are a total of 30 anomalies injected in the dataset. The full dataset comprise 10K labelled time-series, each with 7062 metrics.</p>
9-10-1069 Cloud activation by oxidation of oleic acid by ozone: what is the chemical mechanism?
<p>Binned neutron reflectivity data for the titled experiment</p>
RB920160The gas-phase oxidation of mixed organic films at the air-water interface testing for cloud climate effects in more representative proxies
<p>Binned neutron reflectivity data for titled experiment.</p>
RB1310383 Does the viscosity of the sub-phase effect the oxidation kinetics of surface active films on "glassy" cloud droplets? Concept Proof
<p>Binned neutron reflectivity data for the above experiment.</p>
Climatological characteristics of thunderstorm clouds over the Tibetan Plateau indicated by TRMM/RPFs with lightning
<p>The uploaded are the data associated with the figures in the paper titled "Climatological characteristics of thunderstorm clouds over the Tibetan Plateau indicated by TRMM/RPFs with lightning" which is submitted to the JGR.</p> <p>Using radar precipitation feature (RPF) data from 1998 to 2014 derived from Tropical Rainfall Measuring Mission (TRMM) satellite observations, we analyzed the activity and properties of thunderstorm clouds (TCs) over the Tibetan Plateau (TP) and compared them with those over two contrasting land regions (CR1 and CR2). We revealed the properties of TCs over the TP including their flash rate, flash density, flash properties (duration, length and radiance), horizontal and vertical extent, and vertical profiles of reflectivity and compared them with those over CR1 and CR2. We further suggested a comparison of the effective charge regions (ECRs) in the TCs over the three regions and indicated the possible relationship between the flash rate of the TC and number of ECRs as well as between the flash density of the TC and the proportional ECR area. A conceptual sketch map was proposed that reveals the uniqueness of TCs over the TP. The results indicate that TCs over the central TP are most active; generally, the flash rates, flash properties, and sizes of the TCs are greater over the eastern TP than over the western TP. Meanwhile, the TCs over the southern and western TP have a larger vertical extent and flash density, respectively. The analysis of monthly and diurnal variations indicated the prominent preference of TC activity to occur in the warm season and afternoon, and multiple variations of TC properties.</p>
Rainforest and cloud forest Scolytodes (Curculionidae, Scolytinae, Hexacolini) from the Arthropods of La Selva inventory in Costa Rica: new species, new synonymy, new records
<p>Quantitative collecting efforts over the last several decades in Costa Rica have resulted in many new species of insects. The Arthropods of La Selva projects included collecting from a typical lowland Neotropical forest and up an altitudinal transect, and has provided many valuable samples of insects, spiders and mites potentially new to science. We describe 18 new species in the bark beetle genus <em>Scolytodes</em> Ferrari, 1867, 14 of which were collected during this project: <em>S. angulus</em> Jordal & Kirkendall, <strong>sp. nov</strong>., <em>S. sufflatus</em> Jordal & Kirkendall, <strong>sp. nov</strong>., <em>S. squamatifrons</em> Jordal & Kirkendall, <strong>sp. nov.</strong>, <em>S. comosus</em> Jordal & Kirkendall, <strong>sp. nov.</strong>, <em>S. spatulatus</em> Jordal & Kirkendall, <strong>sp. nov.</strong>, <em>S. seriatus</em> Jordal & Kirkendall, <strong>sp. nov.</strong>, <em>S. profundus</em> Jordal & Kirkendall, <strong>sp. nov.</strong>, <em>S. catinus</em> Jordal & Kirkendall, <strong>sp. nov.</strong>, <em>S. fimbriatus</em> Jordal & Kirkendall, <strong>sp. nov.</strong>, <em>S. sulcifrons</em> Jordal & Kirkendall, <strong>sp. nov.</strong>, <em>S. planifrons</em> Jordal & Kirkendall, <strong>sp. nov.</strong>, <em>S. porosus</em> Jordal & Kirkendall, <strong>sp. nov.</strong>, <em>S. mundus</em> Jordal & Kirkendall, <strong>sp. nov.</strong>, <em>S. callosus</em> Jordal & Kirkendall, <strong>sp. nov.</strong>, <em>S. parvipilus</em> Jordal & Kirkendall, <strong>sp. nov.</strong>, <em>S. plenus</em> Jordal & Kirkendall, <strong>sp. nov.</strong>, <em>S. niger</em> Jordal & Kirkendall, <strong>sp. nov.</strong>, and <em>S. simplex</em> Jordal & Kirkendall, <strong>sp. nov.</strong> One species, <em>Scolytodes minutissimus</em> Schedl, 1952, is redescribed to match the holotype. We give new Costa Rica records for <em>S. costabilis</em> Wood, 1974, which is the correct name for <em>S. obesus</em> Wood, 1975 (<strong>syn. nov</strong>.). We report Costa Rica as a new country record for six species: <em>Scolytodes clusiacolens</em> Wood, 1967, <em>S. crinalis</em> Wood, 1978, <em>S. culcitatus</em> (Blandford, 1897), <em>S. libidus</em> Wood, 1978, <em>S. reticulatus</em> (Wood, 1961), and <em>S. spadix</em> (Blackman, 1943). From a closely related genus, we provide the first record for Central America (and only the second collection) of <em>Pycnarthrum fulgidum</em> Wood, 1977.</p>
[Dataset] A Recharge Oscillator Model for Interannual Variability in Venus' Clouds
<p>This dataset contains codes and data to reproduce figures 1-5 of the paper titled "A Recharge Oscillator Model for Interannual Variability in Venus' Clouds", currently under review at JGR Planets. The readme file included in the dataset gives a description of each file and their author.</p>
Mating system and female reproductive success of the endemic and endangered epiphyte Rhynchostele cervantesii (Orchidaceae) in a cloud forest in Michoacan, Mexico
<p>The data represent the result of the seed viability categories obtained for R. cervantesiis produced after open pollination, self-pollination and outcrosses pollination</p>
Raw datasets for publication: The new Mountain Observatory of the Project "Optimizing Cloud Seeding by Advanced Remote Sensing and Land Cover Modification (OCAL)" in the United Arab Emirates: First results on Convection Initiation" - Case studies only (5 and 6 Sept 2018)
<p>Here are zip files containing the raw data sets collected from the Halo Doppler lidar and the Mira Doppler cloud radar from the OCAL Observatory, UAE, on the 5th and 6th September 2018. All RHI and PPI scans at all angles and all time steps from these days are included.</p>
Self Supervised Cloud Classification Data Supplement
<p>Supplementary data for: "Self Supervised Cloud Classification" Geiss et al. 2023.</p> <p>Includes trained neural networks and a copy of the image chips extracted from the "SGFF" dataset that were used for evaluating the trained networks.</p> <p>Update 9-16-2025: Uploaded the correct 'modis_encoder' file. Previously the 'modis_projector' file was mistakenly uploaded as both the encoder and projector.</p>
Model data for Sterzinger and Igel (2023) "Simulated Idealized Arctic Cloud Sensitivity to Above Cloud CCN Concentrations"
<p>Data for Sterzinger and Igel (2023) "Simulated Idealized Arctic Cloud Sensitivity to Above Cloud CCN Concentrations"</p> <p> </p> <p>all_data.tar.gz contains the processed horizontally-averaged data used to plot the figures in the paper.</p> <p> </p> <p>data_processing.tar.gz contains the scripts to process the 4-D data output from the model and namelists in https://doi.org/10.5281/zenodo.7991355</p>
Data for EEG Electrode Localization with 3D iPhone Scanning Using Point-Cloud Electrode Selection (PC-ES)
<p>The dataset contains 1) the deidentified, cropped Heges scans collected on 8 subjects (4-7 sub-scans per subject), 2) the merged scans via the PC-ES software from 3 reviewers, and 3) the photogrammetry data (validation data) which also constructed from 3 reviewers. The data is in MATLAB data files (mat-files), which is consistent with the PC-ES software (https://github.com/haley-richards/PC-ES). There are also 2 m-files (MATLAB scripts) that can be used to plot the individual or merged scans. </p><ul><li>cropped_deidentified_scans_pg.mat<ul><li>cropdeidscans a 1 x 8 structure array (8 subjects)</li><li>Each cell contains a structure array of all the sub-scans for the given subject with the following fields:<ul><li>colobj – Matlab point cloud object. This is the Heges output cropped and deidentitied.</li><li>tri – triangulation related to the nodes (Location) of the colobj object</li></ul></li></ul></li><li>merged_scans – output from the PCES software that merged the subscans from Heges<ul><li>outputres a 3 x 8 structure array (3 reviewers/readers of scans and 8 subjects)</li><li>Each cell contains a structure array scans with the following fields:<ul><li>colobj – the merged scans, albeit separated by angular sectors</li><li>tdat_mrg – merged electrodes</li><li>tdat_full – full-set of electrodes</li><li>tri_mrg - triangulation related to the nodes (Location) of the colobj object</li></ul></li></ul></li><li>photogram_dat – photogrammetry-base electrodes 3 x 8 structure array (3 reviewers/readers of scans and 8 subjects)</li></ul>
Dataset of point-clouds generated by UAV LiDAR scanning of barley field-plot trial.
<p>Point clouds from eight scanning flights, scanned by UAV LiDAR system VUX-UAV1 (Ricopter GmBh), provided in forms of separated .las files. Dataset represent raw data that were further processed by software ALFA to extract height of canopies in particular field plots. Software serves for monitoring of plant growth dynamics in agricultural or breeding filed-plot trials.</p>
High resolution simulation plume data for Sensitivities of Large Eddy Simulations of Aerosol Plume Transport and Cloud Response
<p>This record contains data files of concentrations of an inert plume tracer variable used in analysis and figures for the manuscript "Sensitivities of Large Eddy Simulations of Aerosol Plume Transport and Cloud Response." Additional directories mentioned in this description can be found by unzipping the "Dataset.tar.gz" file contained in the complementary record <a href="10.5281/zenodo.10278558">10.5281/zenodo.10278558 </a>.</p><p>To recreate the figures of the manuscript, unzip the file "plumes.tar.gz" inside the directory "Sim_3". This file contains results from simulations using the PINACLES model. Unzip the file "UW_data.tar.gz" file inside inside the "Clean_Scripts" directory. This file contains results from simulations using the SAM-UW model.</p><p> </p>
Model simulation data used in "Impacts of ice-nucleating particles on cirrus clouds and radiation derived from global model simulations with MADE3 in EMAC" (Beer et al., Atmos. Chem. Phys., 2024)
<p>This dataset contains the namelist setup and the output of the EMAC global model simulations analysed and discussed in Beer et al. (<i>Atmos. Chem. Phys.</i>, 2024). For details see the README.md file and Table 2 in the paper.</p>
Random Forest Cloud Model for Predicting Liquid Cloud Microphysical Properties from A-Train Data
<p>Code for creating and analyzing the performance of a random forest model to predict cloud optical depth and cloud top effective radius from A-train satellite observations. Because of storage limitations, this directory does not include full satellite dataset, but the CloudSat data is available from the CloudSat Data Processing center (https://www.cloudsat.cira.colostate.edu/) and the CALIPSO data from NASA's Atmospheric Science Data Center (https://asdc.larc.nasa.gov/project/CALIPSO). </p>
Dataset for "Roles of marine biota in the formation of atmospheric bioaerosols, cloud condensation nuclei, and ice-nucleating particles over the North Pacific Ocean, Bering Sea, and Arctic Ocean"
<p>Atmospheric and oceanic observations were conducted over the North Pacific Ocean, Bering Sea, and Arctic Ocean during a cruise (MR19-03C) in early autumn of 2019. The dataset includes trace gases, chemical composition, fluorescent particles in the ambient and bioindicators in the surface seawater, observed along the ship track (time stamp and coordinates are included). This dataset is for Kawana et al., "Roles of marine biota in the formation of atmospheric bioaerosols, cloud condensation nuclei, and ice-nucleating particles over the North Pacific Ocean, Bering Sea, and Arctic Ocean", Atmospheric Chemistry and Physics, 2024 (in press).</p>
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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)
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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.