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2,152 results for “outputs”
ece_iasi_postprocessed_output
<p>The dataset contains monthly averaged clear-sky radiances computed over the ocean starting from the initial grib output of the EC-Earth climate model.</p> <p> </p>
WRF-Chem ozone tagging output
<p>Chemical reactions file (mozart_tag.eqn) for an ozone tagging mechanism within the WRF-Chem model used to track tropospheric ozone from European NOx sources.</p>
WRF-Chem ozone tagging output
<p>Simulation for a European domain from May to August 2015 using a tagged ozone mechanism based on MOZART-4 chemistry.</p>
Simulation outputs associated to the study: "Brief communication: Everest South Col Glacier did not thin during the last three decades" by Brun et al.
<p>This folder contains the outputs of the South Col Glacier mass balance simulations used in the study: "Brief communication: Everest South Col Glacier did not thin during the last three decades" by Brun et al., submitted to The Cryophere Journal in August 2022. The simulation outputs are obtained with two different models: COSIPY (Sauter et al., 2010) and Crocus (Vionnet et al., 2012). Note that forcing and initialization information are provided to reproduce Crocus simulations.</p>
WEIS Post-processing Example Outputs
<p>A set of WEIS outputs that are used to demonstrate postprocessing tools in the repository.</p>
geometries and output files for CMS-PDFT gradient paper
<p>This deposist contains xyz files and input and output files as supporting data for “Analytic Gradients for Compressed Multistate Pair-Density Functional Theory,” by J. J. Bao, M. R. Hermes, T. R. Scott, A. M. Sand, R. Lindh, L. Gagliardi, and D. G. Truhlar, to be published in a special Issue of Molecular Physics dedicated to the memory of Lutosław Wolniewicz.</p>
Lifetime reproductive output and life-history traits of lizards
<p><span><span><span><span><span><span><span><span><span><span><span><span><b>Aim: </b>Latitudinal gradients in life-history traits are apparent in many taxa and are expected to be strong for ectotherms that have temperature-driven constraints on performance and fitness. The strength of these gradients, however, should also be affected by diet. Because diet type (carnivory, omnivory, herbivory) influences accessibility to nutrition and assimilation efficiency, we aim to study how diet affects latitudinal gradients in lifetime reproductive output and the underlying life-history traits in ectotherms.</span></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><span><b>Location: </b>Global.</span></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><span><b>Time period: </b>Recent.</span></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><span><b>Major taxa studied: </b>Lizards (Reptilia, Squamata, Sauria).</span></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><span><b>Methods: </b>We used empirical (352 species) and phylogenetically imputed data (563 species) to analyse the interactive effects of latitude and diet on life-history traits (longevity, age at maturity, reproductive lifespan, hatchling mass, clutch/brood size, clutch/brood frequency, female mass) and lifetime reproductive output of lizards.</span></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><span><b>Results: </b>Lifetime reproductive output does not significantly differ in lizards across diet types, and only carnivores exhibit a small increase at higher latitudes. Diet type, however, influences latitudinal patterns of individual life-history traits. Carnivores exhibit a shift towards "slower-paced" life-histories at higher latitudes for most traits (increased longevity, age at maturity, reproductive lifespan, and decreased clutch frequency). By contrast, herbivores either display "faster-paced" life-histories (reduction in reproductive lifespan, hatchling mass, female mass) or no change (clutch frequency, clutch size, age at maturity) at higher latitudes. Omnivores exhibit intermediate and muted latitudinal patterns.</span></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><span><b>Main conclusions: </b>We suggest that the nutritional challenges of herbivory, compounded by thermal constraints at higher latitudes, may explain differences in life-history characteristics of herbivorous ectotherms. Intermediate patterns exhibited by omnivores highlight how flexibility in diet can buffer environmental challenges at higher latitudes. Our results indicate that lizards with different diet types display various trends in their life-histories across latitudes, which eventually balance out to result in similar reproductive outputs throughout their lifetime, with little benefits to carnivory.</span></span></span></span></span></span></span></span></span></span></span></span></p>
Bering10K BEST_NPZ ROMS model: Carbon dioxide removal simulation output
<p>This dataset accompanies our manuscript:</p> <p>Wang H, Pilcher DJ, Kearney KA, Cross JN, Shugart OM, Eisaman MD, Carter BR. Simulated impact of ocean alkalinity enhancement on atmospheric CO2 removal in the Bering Sea. Submitted to Earth's Future, in review</p> <p>The dataset includes selected output variables (temperature, salinity, and carbonate system variables) from two 10-year simulations of the Bering10K ROMS application with BEST_NPZ biogeochemistry. The simulations represent a control run and a point source alkalinity enhancement; see paper for further details. The source code used to run this this simulation is available on Github (https://github.com/beringnpz/roms-bering-sea) and archived at DOI: 10.5281/zenodo.7062782.</p>
GCAM output files for Iyer & Ou, et al. 2022 (Ratcheting of climate pledges needed to limit peak global warming )
<p>Original GCAM output files for Iyer & Ou, et al. 2022 (Ratcheting of climate pledges needed to limit peak global warming)</p> <p>A "Naming Rule" file is included. More details and assumptions can be found in the original paper. GCAM documentation can be found at https://jgcri.github.io/gcam-doc/ </p>
Model outputs in the northern shelf of the South China Sea
<p>The data used in the figure of manuscript are available in Figure.rar file. The 201706XX_Chla_budget_2.mat files are the model outputs of the chlorophyll budget terms after process. The Biogeo*.mat files are the model outputs of the chlorophyll biological terms after process. The nutrient*.mat files are the model outputs of the nutrients (no3 and po4).</p>
Model output dataset used in "Sensitivity of Heavy Convective Precipitation Simulations to Changes in Land-atmosphere Exchange Processes over China"
<p>This dataset accompanies the paper by Zhang et al. "Sensitivity of Heavy Convective Precipitation Simulations to Changes in Land-atmosphere Exchange Processes over China".</p> <p>Three heavy precipitation events were modeled using the WRF v3.9 model:</p> <p>(1) The_21_July_Beijing_Rainstorm_Simulation<br> (2) The_30_July_Ningxia_rainstorm_Simulation<br> (3) The_19_June_Jiangxi_rainstorm_Simulation</p> <p>Furthermore, three cases were designed for each heavy precipitation event: (1) control experiment (DEFAULT), using the default M-O option (<em>C<sub>zil</sub></em> ~ 0); (2) constant <em>C<sub>zil</sub></em> (CZIL0.01, CZIL0.05, CZIL0.1, CZIL0.3, CZIL0.5 and CZIL0.8), with <em>C<sub>zil</sub></em> values of 0.01, 0.05, 0.1, 0.3, 0.5, and 0.8; (3) a dynamic canopy-height dependent <em>C<sub>zil</sub></em> (NEWCZIL).</p> <p>Plain Language Summary for this paper:<br> Over recent decades, the frequent occurrence of heavy precipitation events has caused devastating ecological and socioeconomic impacts, such as agriculture losses, infrastructure damage, and casualties. High-resolution atmospheric modeling at a convection-permitting grid spacing (≤4 km) provides valuable applications for predicting heavy precipitation. Precipitation can be strongly affected by the energy and moisture exchanges between land surface and atmosphere. However, the representation of land-atmosphere interactions in atmospheric models and the responses of precipitation to land-atmosphere exchange efficiency remain great uncertainties. This study performed 3-km high-resolution atmospheric modeling with a dynamic vegetation-type-dependent land-atmosphere exchange scheme for three typical heavy precipitation events that occurred over areas with different dominant land-cover types. The results showed that land-atmosphere exchange efficiency mainly affected the precipitation intensity as well as the onset and peak time of precipitation. The dynamic exchange scheme modifies the efficiency of land-atmosphere exchanges to match local land cover conditions and could reproduce well the field observations, especially the intensity and location of the heaviest rainfall which usually serve as the most concerned variable in a major rainstorm event. Our findings show that the dynamical scheme could help achieve more accurate precipitation simulations.</p>
MAGScoT bin refinement benchmarking data and output
<p>This repository holds the data to benchmark the new metagenomic bin-refinement tool MAGScoT (in review; preprint: https://www.biorxiv.org/content/10.1101/2022.05.17.492251v1; github: https://github.com/ikmb/MAGScoT) in comparison to the gold standard tools DASTool and metaWRAP, as well as to the individual binning tools METABAT2, MAXBIN2, CONCOCT, and VAMB.</p> <p>These are two datasets:</p> <ul> <li>marine: CAMI2 marine dataset</li> <li>hmpgut: 50 gut metagenome samples from the HMP2 project</li> </ul> <p>The files included for each sample are:</p> <ul> <li>*.fasta: the filtered (>2kbp) assembled metagenomes</li> <li>*.prodigal.faa: the prodigal gene calls as amino acid sequences</li> <li>*.hmm: HMM annotations for 120 bacterial and 56 archaeal marker genes</li> <li>*.final_ctb.tsv: all binning output (contig-to-bin assignments) of the individual binning and bin-refinement tools</li> </ul>
MIROC4-ACTM: Model setup, input and output data for CH4 LETKF (Bisht et al., GMD-D, 2022)
<p>Details in :</p> <p>Bisht, J. S. H., Patra, P. K., Takigawa, M., Sekiya, T., Kanaya, Y., Saitoh, N., and Miyazaki, K.: Estimation of CH<sub>4</sub> emission based on advanced 4D-LETKF assimilation system, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-719, 2022.</p>
Outputs of Numerical experiments verifying the diverse interannual variability of Asian summer monsoon onset process
<p><strong>Introduction</strong></p> <p>We designed two sets of numerical experiments using the Community Earth System Model (CESM 1.2.2) released by NCAR to verify the SSTAs' effect on the interannual modes of ASMOP in April and May. In the atmospheric general circulation model (AGCM) experiments, we solely forced the Community Atmosphere Model version 5.3 (CAM5.3), the atmospheric component of the CESM 1.2.2, by the specific SSTAs in April–May. The AGCM control run included a 40-yr integration forced by the climatological sea surface temperature (SST) with the annual cycle. We attached the specific SSTAs to the climatological SST in each sensitivity experiment and integrated them for 40 years. The ensemble results in the last 30 years were used for analysis. By contrast, in the PACEMAKER experiments, we first integrated the CESM 1.2.2 for 200 years as a control run to exclude the evident climate shift. Afterward, the sensitivity experiments were conducted on the last 100-yr outputs of the control run, in which we nudged the April–May SSTAs in the specific domain but left the rest of the model's coupled climate system free to evolve. The last 30 members were ensembled for analysis in each PACEMAKER experiment. </p> <p><strong>Numerical Experiment Design</strong></p> <p>In the AGCM category, we forced CAM 5.3 by warm SSTAs in the southwestern Indian Ocean (20°S-0°, 40°-80°E) in the ASMOP-PC2 experiment but by cold SSTAs in the western North Pacific (0°-20°N, 120°-160°E) in the ASMOP-PC3 experiment from April to May, respectively. Similar SSTAs were nudged in the two oceanic domains from April to May in the PACEMAKER category.</p> <p><strong>File Description</strong></p> <ol> <li>Output files were saved in the NetCDF format.</li> <li>The "AGCM.tar.gz" and "PACEMAKER.tar.gz" was the compressed files of the atmospheric outputs in May in the AGCM and PACEMAKER experiments, respectively.</li> <li>In each compressed file, the results of the control run (in the subfolder named "Control_Run"), ASMOP-PC2 (in the subfolder named "ASMOP-PC2"), and ASMOP-PC3 (in the subfolder named "ASMOP-PC3") sensitivity experiments were included for comparison.</li> </ol>
Output climate model parameters reported in Izquierdo et al., (2022)
<p>Data set containing an ensemble of model parameters for each of the candidate climate models in Table 1 of Izquierdo et al., (2022). These ensembles are stored as Python objects using the Pickle module, identified by the accumulation and lag sub models they contain and the number of steps used in the Markov chain Monte Carlo algorithm. From each Python object, it can be extracted the distribution of accumulation and retreat rates with time following the scripts and notebooks of the repository referenced in the open research section of the paper. </p> <p>The folders in this repository refer to the ensembles of all candidate models dependent of insolation values (insolation), ensembles of all candidate models dependent on obliquity values (obliquity, ensembles of best fit models (files that are not within a folder) and ensembles of best fit models with the addition of an age prior of 2 My. </p>
Model outputs in the northern shelf of the South China Sea
<p>The data used in the figure of manuscript are available in Figure.rar file. The 201706XX_Chla_budget_2.mat files are the model outputs of the chlorophyll budget terms after process. The Biogeo*.mat files are the model outputs of the chlorophyll biological terms after process. The nutrient*.mat files are the model outputs of the nutrients (no3 and po4). *NoR means the NoRiver run. *ZMix means the ZMix run.</p>
MAgPIE model runs outputs: Climate change-driven global land-use system adaptation under CMIP6-based crop model projections
<p>Each folder contains the fulldata.gdx and the configuration files for each MAgPIE run based on the nine crop impact models and 5 gcms used in the paper.</p>
Ensembled projection outputs of Lake Sunapee using multiple General Circulation models and Lake models
<p>This dataset contains the ensemble projection output of Lake Sunapee, NH. The conception and methods of the dataset is explained in the manuscript "Uncertainty in projections of future lake thermal dynamics is differentially driven by global climate models and lake models."</p>
Output data for manuscript "SNR-based GNSS reflectometry for coastal sea-level altimetry – Results from the first IAG inter-comparison campaign"
<p>GNSS-R sea level time series and ancillary information about periods with incomplete GNSS data.</p>
Precomputed OOPS dataset for Actinobacterial clusters output from antiSMASH
<p>This dataset is the precomputed actinobacterial clusters taken from the antiSMASH database, ready to be loaded into OOPS.</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.