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2,152 results for “outputs”
FESOM output supporting: Atmospheric wind biases: A challenge for simulating the Arctic Ocean in coupled models?
<p>AWI-CM1 and FESOM1.4 simulation results used in the manuscript "Atmospheric wind biases: A challenge for simulating the Arctic Ocean in coupled models?".</p>
Influence of the haemosporidian Leucocytozoon spp. over reproductive output in a wild Neotropical passerine, the Thorn-tailed Rayadito Aphrastura spinicauda
<p>Life-history theory predicts that hosts may adjust the costs of parasites by altering their reproductive effort. Haemosporidian parasites can affect the reproductive output of wild birds in multiple ways.<b> </b>Thorn-tailed Rayaditos <i>Aphrastura spinicauda</i> breeding in Navarino Island, Southern Chile (55°-40° S) experience high prevalence of the haemosporidian <i>Leucocytozoon </i>spp., which opens the possibility of exploring how these parasites may affect reproductive output in a Neotropical bird species. We compared several variables describing reproductive output (laying date, clutch size, incubation period, brood size, nestling body condition and early-life telomere length) of infected and non-infected parents (individually and as breeding pairs). We found that infected-females and breeding pairs with both parents infected showed significantly shorter incubation periods than un-infected Thorn-tailed Rayaditos. Furthermore, breeding pairs with both parents infected raised nestlings with higher body condition than nestlings for which infection was present in only one or in none of the parents. Our results suggest that the higher the parental investment, the higher the risk of relapse of chronic infection by <i>Leucocytozoon </i>spp<i>. </i>Thorn-tailed Rayaditos that decrease their incubation period pay the cost of infection to take advantage of early breeding through a greater more availability of resources, producing nestlings with higher body condition.</p>
WACCMX+DART output files associated with the publication "The Impact of Assimilating COSMIC-2 Observations of Electron Density in WACCMX"
<p>WACCMX+DART output files that are associated with the publication "The Impact of Assimilating COSMIC-2 Observations of Electron Density in WACCMX". Data files include DART diagnostics for the COSMIC-2 and Control experiments, as well as the vertical plasma drift velocities.</p>
Model output data for compressible EULAG dynamical core in COSMO: convective-scale Alpine weather forecasts
<p>The archive contains model output data for article "Compressible EULAG dynamical core in COSMO: convective-scale Alpine weather forecasts" to be published in Monthly Weather Review.</p> <p>The article presents the semi-implicit compressible EULAGas a newdynamical core for convective-scale<br> numerical weather prediction. The core is implemented within the infrastructure of the<br> operational model of the Consortium for Small Scale Modeling (COSMO), forming the NWP<br> COSMO-EULAG model (CE). This regional high-resolution implementation of the dynamical<br> core complements its global implementation in the Finite-Volume Module of ECMWF’s Integrated<br> Forecasting System. The paper documents the first operational-like application of the dynamical<br> core for realistic weather forecasts. After discussing the formulation of the core and its coupling<br> with the host model, the paper considers several high-resolution prognostic experiments over<br> complex Alpine orography. Standard verification experiments examine the sensitivity of the CE<br> forecast to the choice of the advection routine and assess the forecast skills against those of the<br> default COSMO Runge-Kutta dynamical core at the 2.2 km grid showing a general improvement.<br> The skills are also compared using satellite observations for a weak-flow convective Alpine weather<br> case-study, showing favorable results. Additional validation of the new CE framework for partly<br> convection-resolving forecasts using 1.1 km, 0.55 km, 0.22 km, and 0.1 km grids, designed to<br> challenge its numerics and test the dynamics-physics coupling, demonstrates its high robustness in<br> simulating multi-phase flows over complex mountain terrain, with slopes reaching 85 degrees, and<br> the flow’s realistic representation.</p>
The configurations, inputs and outputs of the EFDC model for all simulated episodes
<p>TAIHU EFDC.zip includes two file folders named 2015 and 2018. The 2015 file folder is the configurations, inputs and outputs of the EFDC model for the numerical experiment named EFDC of 2015. The 2018 file folder is the configurations, inputs and outputs of the EFDC model for the numerical experiment named EFDC of 2018.</p>
Lagrangian drifter output in the Southeast Indian Ocean using the Connectivity Modelling System output forced with TROPAC01
<p>This dataset contains Lagrangian drifter trajectories from the Connectivity Modelling System (CMS) in the Southeast Indian Ocean. CMS was forced with ocean velocity fields from TROPAC01 and this experiment was focused on sources of the Leeuwin Current. TROPAC01 is a high-resolution ocean general circulation model, developed by the European Drakkar cooperation [Barnier et al., 2007] it is based on the NEMO [v3.2 Madec, 2008] code. Specifically, it is a 1/10 horizontal resolution model of the tropical Indo- Pacific region (spanning the area from 73°E - 63°W to 49°S - 31°N), nested within a half-degree global ocean/ sea-ice model. More information on the model configuration used for this experiment can be found in [van Sebille et al., 2014]. Using the velocity fields from TROPAC01 we then use the Connectivity Modelling System (CMS) v1.1 [Paris et al., 2013] to integrate the virtual particles in three-dimensional time-evolving flow.</p> <p>Version v1.0 of this dataset includes ascii raw model output of CMS trajectories and the forcing file (seed file) that enables a user to calculate absolute time of a particle's location. Variables are: particle_number, time, longitude, latitude, depth, exit_code.</p> <p>These experiments were executed by Christopher Bull of the ARC Centre of Excellence for Climate System Science (ARCCSS) research program "Mechanisms and attribution of past and future ocean circulation change", as part of Christopher's PhD candidature.</p> <p> </p> <p>References:</p> <p> Code and documentation for the CMS is available at:</p> <p> https://github.com/beatrixparis/connectivity-modeling-system</p> <p>Claire B. Paris, Judith Helgers, Erik van Sebille, Ashwanth Srinivasan, 2013.<br> Connectivity Modeling System: A probabilistic modeling tool for the multi-scale tracking of biotic and abiotic variability in the ocean,<br> Environmental Modelling & Software, Volume 42, 2013, Pages 47-54, ISSN 1364-8152, https://doi.org/10.1016/j.envsoft.2012.12.006.</p> <p>van Sebille, E., Sprintall, J., Schwarzkopf, F. U., Gupta, A. S., Santoso, A., England, M. H., Biastoch, A., and Böning, C. W. (2014), Pacific-to-Indian Ocean connectivity: Tasman leakage, Indonesian Throughflow, and the role of ENSO, <em>J. Geophys. Res. Oceans</em>, 119, 1365– 1382, doi:<a href="https://doi.org/10.1002/2013JC009525">10.1002/2013JC009525</a>.</p>
LA-ICP-MS line scan data and time-series analysis outputs for Baltic Sea sediment core F80
<p>The datafile contains two sheets: HTM and MCA, corresponding to geochemical data from the Holocene Thermal Maximum and Medieval Climate Anomaly intervals, respectively, of a sediment core from the Baltic Sea (site F80, 58°00.00N, 19°53.81E, water depth 191m, Fårö Deep, collected during the HYPER/COMBINE cruise of R/V Aranda, May/June 2009). In each sheet, columns A-J contain Laser Ablation (LA)-ICP-MS line scan data of element ratios in resin-embedded sediment (Mo/Al, Fe/Al and Br/P) presented in the time domain (Age in years BP). Dating of the sediment core is described in the accompanying manuscript and references therein. These profiles are presented in three forms: Raw= raw data resampled to 1 year resolution; Det= detrended and normalized to unit variance; Gau; Gaussian bandpass filter at a period of 20-100 years. Columns L-S contain time-series analysis results of the detrended, normalized elemental ratios in period domain, including power spectra of each ratio (Blackman-Tukey window, columns M-O) and cross-spectral analysis (Blackman-Tukey window, bandwidth 5 years) of Mo/Al vs Br/P (columns P-Q) and Mo/Al vs Fe/Al (columns R-S), respectively. All analyses were performed in Analyseries 1.1.1 (Paillard et al., 1996). Figures containing the data have been submitted as part of a manuscript to Geophysical Research Letters (Jilbert et al., forthcoming),</p> <p> </p> <p>Paillard, D., Labeyrie, L., & Yiou, P. (1996). Macintosh program performs time‐series analysis. <em>Eos, Transactions American Geophysical Union</em>,<em> 77</em>(39), 379-379. <a href="https://doi.org/10.1029/96EO00259">https://doi.org/10.1029/96EO00259</a></p> <p>Jilbert, T., Gustafsson, B.G., Veldhuijzen, S., Reed, D.C., van Helmond, N.A.G.M., Hermans, M., & Slomp, C.P (forthcoming). Iron-phosphorus feedbacks drive multidecadal oscillations in Baltic Sea hypoxia. Submitted to <em>Geophysical Research Letters</em></p>
Model output from hydrothermal simulations
<p>Files Fe_spreading.nc, Fe_inverse.nc and Fe_inverseR.nc represent dissolved iron fields (mmol/m3) and files ECP_spreading.nc, ECP_inverse.nc and ECP_inverseR.nc export production at 100m (mol/m2/s) from experiments of those names in Tagliabue et al., "Constraining the contribution of hydrothermal iron to the Southern Ocean biological carbon pump using deep ocean iron observations" Frontiers in Marine Science</p>
Output data from FeedUs
<p>This repostitory contains various archives of results output data from various versions of the NetLogo model FeedUs, created as part of the DEVIL project. Each archive comprises one or more results directories, labelled with the nickname of the scenario given in the FeedUs scenarios file. There will then be a number of CSV format files in each directory, each of the form results-<em>N</em>.csv or results-<em>N</em>-<em>data</em>.csv, where <em>N</em> is the run number (typically 1-30) and<em> </em><em>data</em> is one of plots or trade.</p> <p>results-<em>N</em>.csv is formatted similarly to the Food Balance Sheets of the <a href="http://www.fao.org/home/en/">UN FAO</a>.</p> <p>results-<em>N</em>-trade.csv has columns item, year, from, to, round, q-trade, and details the items traded between the from and to countries each year. The q-trade column has units tonnes.</p> <p>results-<em>N</em>-plots.csv is the output from executing the <a href="http://ccl.northwestern.edu/netlogo/docs/dict/export-cmds.html">export-all-plots</a> command in NetLogo. Though it has a CSV format, it will require some effort to parse programmatically, and you are advised to examine it in spreadsheet software.</p>
FarFish FFDB Decision Support and visualisation tools outputs
<p>Decision Support and visualisation tools outputs as generated by the FarFish FFDB DLMTool</p>
Roach et al. (2019) coupled wave-ice model output (hourly coupling version): Beaufort Sea 2012-2019
<p>Wavewatch III model output from Roach et al. (2019) coupled wave-ice model with hourly coupling from the central Beaufort Sea, spanning 2012-2019.</p> <p>See manuscript below for further details:</p> <p>Roach, L., C. Bitz, C. Horvat, and S. Dean (2019), Advances in modelling interactions between sea ice and ocean surface waves. Journal of Advances in Modeling Earth Systems</p>
Various LES outputs
<p>Large Eddy Simulation (LES) output from Spaceborne differential absorption radar water vapor retrieval capabilities in tropical and subtropical boundary layer cloud regimes (2021), Roy, R. et al. in Atmospheric Measurement Techniques.</p>
Scripts for post-processing Delft3d output data and figures for manuscript 'Longitudinal scour-bar pattern in estuaries'
<p>The 7z file contains two folders, one named 'mat' contains the matlab scripts for post-processing Delft3D output data and plotting, the other named 'Figures' contains main outputs for the manuscript 'Longitudinal scour-bar pattern in estuaries'. </p>
The interpretation of temperature and salinity variables in numerical ocean model output and the calculation of heat fluxes and heat content - ACCESS-CM2 data and code
<p>This dataset contains post-processed ACCESS-CM2 PI control CMIP6 climate model output and code used to produce Figs. 5, 6 and 9 in the published article:</p> <p>McDougall, T., J., Barker, P.M., Holmes, R.M., Pawlowicz, R., Griffies, S. and Durack, P. (2021): The interpretation of temperature and salinity variables in numerical ocean model output and the calculation of heat fluxes and heat content, <strong>Geoscientific Model Development</strong>, 14, 1–21, <a href="https://doi.org/10.5194/gmd-2020-426">https://doi.org/10.5194/gmd-2020-426</a></p> <p>The processed ACCESS-CM2 data is included as .mat files and is accompanied by Matlab processing routines (including code from the TEOS-10 Gibbs SeaWater Oceanographic Toolbox, https://www.teos-10.org/software.htm#1) to produce the figures. A more detailed description of the data are included in README.md. The code and data is also available under version control at <a href="https://github.com/rmholmes/ACCESS_CM2_SpecificHeat/tree/GMD_Published">https://github.com/rmholmes/ACCESS_CM2_SpecificHeat/tree/GMD_Published</a>.</p>
Output reports for the Neisseria pipeline
<p>This repository contains the output reports generated by the <em>Neisseria</em> pipeline.</p> <p>The <strong>example_report.zip</strong> archive contains a recent output report of the pipeline.</p> <p>The <strong>all_reports.zip</strong> archive contains the reports for all samples and runs that were originally generated during the validation. </p>
MIMICA OUTPUT CDNC study
<p>Model output from simulations using MIMICA version4 (Savre at el., 2014). The output is in the form of text files.</p> <p> </p> <p> </p>
FRACTESUS_UC_A533B LUS_T0_MCT_output
<p>Fractesus project. Fracture test mini-CT. Raw data A533B LUS. UC.</p>
CESM 1.2 climate model simulation output for: The Essential Role of Westerly Wind Bursts in ENSO Dynamics and Extreme Events Quantified in Model 'Wind Stress Shaving' Experiments
<p>Westerly wind bursts (WWBs)—brief but strong westerly wind anomalies in the equatorial Pacific—are believed to play an important role in El Niño Southern Oscillation (ENSO) dynamics, but quantifying their effects is challenging. Here, we investigate the cumulative effects of WWBs on ENSO characteristics, including the occurrence of extreme El Niño events, via modified coupled model experiments within Community Earth System Model (CESM1) in which we progressively reduce the impacts of wind stress anomalies associated with model-generated WWBs. In these "wind stress shaving" experiments we limit momentum transfer from the atmosphere to the ocean above a preset threshold, thus "shaving off" wind bursts. To reduce the tropical Pacific mean state drift, both westerly and easterly wind bursts are removed, although the changes are dominated by WWB reduction. As we impose progressively stronger thresholds, both ENSO amplitude and the frequency of extreme El Niño decrease, and ENSO becomes less asymmetric. The warming center of El Niño shifts westward, indicating less frequent and weaker Eastern Pacific (EP) El Niño events. Removing most of wind bursts-related wind stress anomalies reduces ENSO amplitude by 22%. The essential role of WWBs in the development of extreme El Niño events is revealed in the suppressed eastward migration of the western Pacific warm pool and hence a weaker Bjerknes feedback under wind shaving. Overall, our results reaffirm the importance of WWBs in shaping the characteristics of ENSO and its extreme events and imply that WWB changes with global warming could influence future ENSO.</p>
model output
<p>The model output data used in the figures for the experiments of the study "Recent acceleration of Arabian Sea warming induced by the Atlantic-western Pacific trans-basin multidecadal variability"</p>
Rice productivity along waterlogging gradient in Indonesian peatlands (EPIC-IIASA model outputs)
<p>[1] The spatially explicit modelled water table depth data (WTBL, in m) were produced for a total of ten waterlogging intensity scenarios (WetScen) in Indonesian peatlands using the Environmental Policy Integrated Climate-based modelling framework EPIC-IIASA. The WetScen scenarios 1 to 10 represent a gradient from water-logged to deeply drained soils. The dataset provides monthly WTBL series simulated between 2001 and 2010 at 0.25×0.25 arc-deg spatial resolution across all Indonesia peatland soils (<a href="https://doi.org/10.5281/zenodo.6997968">https://doi.org/10.5281/zenodo.6997968</a>). This data brings harmonized groundwater regime data in large-scale agricultural modelling to allow assessing the impact of peatland rewetting on rice productivity in Indonesia. These data were prepared as a part of the RESTORE+ project, separately for two rice growing seasons (seasons 1 and 2) and rice double-cropping on mineral (miner) and shallow peat soils (peat) with a depth of less than 1 m.</p> <p>[2] The spatially explicit datasets of annual rice yield (YLDG in tDM/ha) and monthly root zone soil water content (RZSW, in mm) were simulated at 0.25×0.25° spatial resolution following the waterlogging scenarios described above. The datasets explore (a) two nutrient management, namely the good agricultural practice (GAP) and management that was back-calibrated against statistically reported regional yields (BackCalc), (b) two rice seasons (season 1 and 2) plus a double-cropping system, and (c) ten waterlogging scenarios (WetScen) in all peatland grids with soils suitable for rice production, i.e., all mineral soils (miner) and soils with the shallow peat material (peat). The simulations were carried out from 2001 to 2010, consistently with the scenario data and modelling framework described above. This database was created as a part of the RESTORE+ project. The details are described in a separate document (see <a href="https://doi.org/10.5281/zenodo.7355835">https://doi.org/10.5281/zenodo.7355835</a>).</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.