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942 results for “Scenarios”
Climate change scenarios forecast increased drought exposure for terrestrial vertebrates in the contiguous United States
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Nonbreeding distributions of four declining Nearctic-Neotropical migrants are predicted to contract under future climate and socioeconomic scenarios
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Revisiting the historical scenario of a disease dissemination using genetic data and Approximate Bayesian Computation methodology: the case of Pseudocercospora fijiensis invasion in Africa
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Isotope mixing scenarios and machine learning model in: To what extent are the source mixing models accurate: evaluation of the model accuracy and guidelines for the site-specific model selection
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Data from: Quantifying and linking mechanism scenarios to invasive species impact
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Reptile diversity patterns under climate and land use change scenarios in a subtropical montane landscape in Mexico
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Changes in vegetation in northern Alaska under scenarios of climate change, 2003-2100: I - Trends in air temperature, precipitation, and cloudiness
These data contain estiamtes of changes in climate from northern AK based on a modeling study for the years 2003-2100. See Euskirchen et al., 2009 for more information. This file contains data for Figure 3.
Changes in vegetation in northern Alaska under scenarios of climate change, 2003-2100: II - Change in net primary production (NPP)
This data has npp values from northern AK based on a modeling study for the years 2003-2100. See Euskirchen et al., 2009 for more information. This file contains data for Figure 4.
Changes in vegetation in northern Alaska under scenarios of climate change, 2003-2100: III - Decadal net primary productivity (NPP) and heterotrophic respiration
These data contain NPP, NEP, and RH values from northern AK based on a modeling study for the years 2003-2100. See Euskirchen et al., 2009 for more information. V This file contains data for Figure 5.
Changes in vegetation in northern Alaska under scenarios of climate change, 2003-2100: IV - Relationship between selected carbon pools and fluxes
These data contain NPP, NEP, RH, soil C, soil N, and ecosystem carbon changes from northern AK based on a modeling study for the years 2003-2100. See Euskirchen et al., 2009 for more information. This file contains data for Figure 6.
Changes in vegetation in northern Alaska under scenarios of climate change, 2003-2100: V - Change in summer albedo by climate scenario
These data contain albedo estimates from northern AK based on a modeling study for the years 2003-2100. See Euskirchen et al., 2009 for more information. This file contains data for Figure 7.
Antarctic Ice Sheet and emission scenario controls on 21st-century extreme sea-level changes
<p>These files accompany the paper: 'Antarctic Ice Sheet and emission scenario controls on 21st-century extreme sea-level changes'.</p> <p>Please cite the accompanying paper if you find this data useful.</p> <p><strong>Contents</strong><br> This dataset contains netCDF files with all the mean sea level scenarios and the accompanying uncertainties. The file 'esl_results.xlsx' contains the estimated GPD parameters for each tide-gauge site, as well as the estimated 100-year amplification factor and allowance. The files result_concise_table_af.pdf and result_concise_table_al.pdf contain easy-to-access overviews of the amplification factors and allowances sorted per station.<br> </p> <p>(c) 2019 California Institute of Technology. U.S. Government sponsorship acknowledged.<br> This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.</p>
Toulouse Campus Surveillance Dataset: scenarios, soundtracks, synchronized videos with overlapping and disjoint views
<p>The Toulouse Campus surveillance Dataset, named ToCaDa, contains two sets of 25 temporally synchronized videos corresponding to two scripted scenarios.<br> <br> With the help of about 50 persons (actors and camera holders), these videos were shot on July 17th 2017 at 9:50 a.m. and 11:04 a.m. respectively.<br> <br> Among the cameras:<br> • 9 were located inside the main building and shot from the windows at different floors. All these cameras are focusing the car park and the path leading to the main entrance of the building with large overlapping fields of view.<br> • 8 were located in front of the building and filmed it with large overlapping fields of view.<br> • 8 cameras were arranged further, scattered around the university campus. Each of their views is disjoint from all the others.<br> <br> About 20 actors were asked to follow two realistic scenarios by performing scripted actions, like driving a car, walking, entering or leaving a building, or holding an item in hand while being filmed.<br> <br> In addition to ordinary actions, some suspicious behaviors are present.</p> <p><strong>Irregularities:</strong></p> <p>Due to the wide variety of devices used during the shooting of the two scenarios, issues were encountered on some cameras, leading to videos where a few seconds are lacking. To ensure temporal synchronization between videos, black frames were added on the missing intervals of time. We list these particular videos and their lacking times below:</p> <p>F1C3: the first 66 seconds are missing.<br> F1C5: the first 2 seconds are missing.<br> F1C8: the first 3 seconds are missing.<br> F1C13: the first 10 seconds are missing.<br> F1C15: the first second is missing.<br> F1C19: the first second is missing.<br> F2C1: the video is accelerated and only lasts a few seconds. We thus did not provide it.<br> F2C6: lacks from 4:01 to 4:12 and from 4:25 to 4:28.<br> F2C16: lack from 5:15 to 5:26.</p> <p>Some videos were recorded with mobile devices whose pixel resolution was lower than 1920 x 1080:</p> <p>F1C3 and F2C3: pixel resolution is 1280 x 720.<br> F1C4 and F2C4: pixel resolution is 640 x 480.<br> F1C15 and F2C15: pixel resolution is 1280 x 720.<br> F1C20 and F2C20: pixel resolution is 1440 x 1080.<br> <br> More detailed information about the position of the cameras can be found on the following link:<br> <a href="http://ubee.enseeiht.fr/dokuwiki/doku.php?id=public:tocada">http://ubee.enseeiht.fr/dokuwiki/doku.php?id=public:tocada</a><br> <br> <strong>Citation</strong><br> T. Malon, G. Roman-Jimenez, P. Guyot, S. Chambon, V. Charvillat, A. Crouzil, A. Péninou, J. Pinquier, F. Sèdes and C. Sénac, Toulouse campus surveillance dataset: scenarios, soundtracks, synchronized videos with overlapping and disjoint views, ACM Multimedia Systems Conference, 2018.</p>
ANGUSII Scenarios: Pathways to 100% Renewable German Energy System
<p>The data set contains an open source energy system model based on the Open Energy Modelling Framework (oemof) for Germany. Results are calculated for different scenarios for the year 2030, 2040 and 2050.</p> <p>A documentation file can be found on <a href="https://github.com/znes/angus-scenarios/blob/3d76ee93d075c3cd83e39ee60ccc34aa13da5732/documentation/scenario-description.pdf">Github.</a></p> <p> </p>
Demeter Input Files for 0.05 degree LULCC from GCAM SSP/RCP/GCM Scenario Runs
<p>Global future land use (LU) is an important input for Earth system models for projecting Earth system dynamics and is critical for many modeling studies on future global change. Here we generated a new global gridded LU dataset using the Global Change Analysis Model (GCAM ) and a geospatial downscaling model (Demeter) under diverse Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs) scenarios. Compared to existing similar datasets, the presented dataset has a higher spatial resolution (0.05°×0.05°) and is spread under more diverse SSP-RCP scenarios (in total 15 scenarios), and considers uncertainties from the forcing climates. The presented dataset will be useful for global Earth system modeling studies, especially for the analysis of the impacts of land use and land cover change and socioeconomics, as well as the characterizing the uncertainties associated with these impacts.</p> <p>The dataset includes the inputs for Demeter to produce projected global gridded land cover (excluding the Antarctic) for the period of 2015-2100 at 0.05-degree resolution and 5-year time step under fifteen SSP-RCP scenarios driven by five GCMs (i.e., gfdl, hadgem, ipsl, miroc, and noresm), using the Global Change Analysis Model (GCAM) and a geospatial downscaling model (Demeter). See <a href="https://github.com/JGCRI/chen_et_al_2020a">https://github.com/JGCRI/chen_et_al_2020a</a> for details on how to reproduce this experiment.</p> <p> </p>
Fig. 1. Part 2 in Molecular phylogeny of Blaberidae (Dictyoptera, Blattodea), with implications for taxonomy and evolutionary scenarios
Fig. 1. Part 2. See legend on preceding page.
Population scenarios for U.S. states consistent with Shared Socioeconomic Pathways
<p>This is a data record of the input and output data associated with the following publication:</p> <p>Jiang, L., B.C. O'Neill, H. Zoraghein, and S. Dahlke. 2020. Population scenarios for U.S. states consistent with Shared Socioeconomic Pathways. Environmental Research Letters, <a href="https://doi.org/10.1088/1748-9326/aba5b1">https://doi.org/10.1088/1748-9326/aba5b1</a>.</p> <p>The accompanying code can be found here: </p> <p>Zoraghein, H., R. Nawrotzki, L. Jiang, and S. Dahlke (2020). IMMM-SFA/statepop: v0.1.0 (Version v0.1.0). Zenodo. <a href="https://protect2.fireeye.com/v1/url?k=dbf32d36-8746128f-dbf30723-0cc47adc5fce-abb2658d1d55b41e&q=1&e=1c8eff6c-b006-48cb-8ff3-fd95c41a8980&u=https%3A%2F%2Fprotect-us.mimecast.com%2Fs%2FbxLNCXD7VRHXoAlVcVcXsa%3Fdomain%3Dprotect2.fireeye.com">http://doi.org/10.5281/zenodo.3956703</a> </p> <p>The following detail the contents:</p> <ul> <li>SSP<ssp_number>.zip <ul> <li><state_number>_<state_abbreviation> <ul> <li><state_number>_<state_abbreviation>_In_Mig.jpg <ul> <li>output figure for in-migration change through time for the target state</li> </ul> </li> <li><state_number>_<state_abbreviation>_Net_Mig.jpg <ul> <li>output figure for net-migration change through time for the target state</li> </ul> </li> <li><state_number>_<state_abbreviation>_Out_Mig.jpg <ul> <li>output figure for out-migration change through time for the target state</li> </ul> </li> <li><state_number>_<state_abbreviation>_proj_in_mig.csv <ul> <li>projected age and gender specific number of domestic in-migration for the state over time</li> </ul> </li> <li><state_number>_<state_abbreviation>_proj_net_mig.csv <ul> <li>projected age and gender specific number of domestic net-migration for the state over time</li> </ul> </li> <li><state_number>_<state_abbreviation>_proj_out_mig.csv <ul> <li>projected age and gender specific number of domestic out-migration for the state over time</li> </ul> </li> <li><state_number>_<state_abbreviation>_proj_pop.csv <ul> <li>projected age and gender specific number of population for the state over time</li> </ul> </li> <li><state_number>_<state_abbreviation>_total_in_mig.csv <ul> <li>projected age and gender specific in-migration from other states to the current state over time</li> </ul> </li> <li><state_number>_<state_abbreviation>_total_out_mig.csv <ul> <li>projected age and gender specific out-migration from the current state to other states over time</li> </ul> </li> <li><state_number>_<state_abbreviation>.jpg <ul> <li>figure for projected change of population for the state</li> </ul> </li> </ul> </li> </ul> </li> <li>State_inputs.zip <ul> <li><state_number>_<state_abbreviation> <ul> <li><state_number>_<state_abbreviation>_in_mig.csv <ul> <li>a table containing gender- and age-specific migration rates from all states to the current state at the base year.</li> </ul> </li> <li><state_number>_<state_abbreviation>_out_mig.csv <ul> <li>a table containing gender- and age-specific migration rates from the current state to all other states at the base year.</li> </ul> </li> <li>basePop.csv <ul> <li>a table containing gender- and age-specific counts of people in the current state at the base year (2010).</li> </ul> </li> <li>Constant_rate.csv <ul> <li>a table that constructs a constant scenario for fertility, mortality (life expectancy), urbanization level (required if we differentiate urban and rural), sex ratio at birth and net estimates of international migrants for the current state. The table is from 2010 to 2100 at 5 year intervals used for scenario building. The presented scenario, for instance, keeps everything constant at its historical record estimated from the data.</li> </ul> </li> <li>fertility.csv <ul> <li>a table containing age-specific fertility rates for the current state at the base year.</li> </ul> </li> <li>intMig.csv <ul> <li>a table containing gender- and age-specific proportions of international migrants to the current state at the base year.</li> </ul> </li> <li>mortality.csv <ul> <li>a table containing gender- and age-specific life expectancy and mortality rates for the current state at the base year (life table).</li> </ul> </li> </ul> </li> </ul> </li> </ul> <p> </p>
Data for: Historical earthquake scenarios for the middle strand of the North Anatolian Fault deduced from archeo-damage inventory and building deformation modeling
<p>This dataset is associated to the article "Historical earthquake scenarios for the middle strand of the North Anatolian Fault deduced from archeo-damage inventory and building deformation modeling " published in Seismological Research Letters (<a href="https://pubs.geoscienceworld.org/ssa/srl/article-abstract/doi/10.1785/0220200278/592607/Historical-Earthquake-Scenarios-for-the-Middle?">link</a>).</p> <p>It includes the following:</p> <ul> <li>The annotated photographs of the EAE (Earthquake Archeological Effects) inventoried in Iznik ("EAE_xxx.pdf").</li> <li>The 3D displacement signals used as input for obelisk modeling ("Displacement_xxx").</li> <li>The output obelisk displacement curves and final block shift values relative to base ("Obelisk_block_motion.pdf").</li> </ul>
Code for individual-based simulations in "Environmental fluctuations can promote evolutionary rescue in high-extinction-risk scenarios"
<p>Substantial environmental change can force a population onto a path towards extinction, but under some conditions, adaptation by natural selection can rescue the population and allow it to persist. This process, known as evolutionary rescue, is believed to be less likely to occur with greater magnitudes of random environmental fluctuations because environmental variation decreases expected population size, increases variance in population size, and increases evolutionary lag. However, previous studies of evolutionary rescue in fluctuating environments have only considered scenarios in which evolutionary rescue was likely to occur. We extend these studies to assess how baseline extinction risk (which we manipulated via changes in the initial population size, degree of environmental change, or mutation rate) influences the effects of environmental variation on evolutionary rescue following an abrupt environmental change. Using a combination of analytical models and stochastic simulations, we show that autocorrelated environmental variation hinders evolutionary rescue in low-extinction-risk scenarios but facilitates rescue in high-risk scenarios. In these high-risk cases, the chance of a run of good years counteracts the otherwise negative effects of environmental variation on evolutionary demography. These findings can inform the development of effective conservation practices that consider evolutionary responses to abrupt environmental changes.</p>
Teaching scenarios in COVID-19 times
<p>Teaching scenarios in COVID-19 times</p>
ScienceDex guides
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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)
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.