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942 results for “Scenarios”
Use of High Fidelity Simulation in Cardiac-specific Anesthesia Scenarios for Resident Education and Assessment
ClinicalTrials.gov study NCT02498964. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Lifestyle Scenario Demonstration on Dialysis Modality
ClinicalTrials.gov study NCT02733354. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Collection, treatment and analysis of air traffic data within Brazil boundaries focused on simulation scenarios.
Open the record for dataset details and reuse information.
Data from: An objective approach to select climate scenarios when projecting species distribution under climate change
Open the record for dataset details and reuse information.
A KNOWLEDGE DISCOVERY STRATEGY FOR RELATING SEA SURFACE TEMPERATURES TO FREQUENCIES OF TROPICAL STORMS AND GENERATING PREDICTIONS OF HURRICANES UNDER 21ST-CENTURY GLOBAL WARMING SCENARIOS
A KNOWLEDGE DISCOVERY STRATEGY FOR RELATING SEA SURFACE TEMPERATURES TO FREQUENCIES OF TROPICAL STORMS AND GENERATING PREDICTIONS OF HURRICANES UNDER 21ST-CENTURY GLOBAL WARMING SCENARIOS CAITLIN RACE*, MICHAEL STEINBACH*, AUROOP GANGULY**, FRED SEMAZZI***, AND VIPIN KUMAR* Abstract. The connections among greenhouse-gas emissions scenarios, global warming, and frequencies of hurricanes or tropical cyclones are among the least understood in climate science but among the most fiercely debated in the context of adaptation decisions or mitigation policies. Here we show that a knowledge discovery strategy, which leverages observations and climate model simulations, offers the promise of developing credible projections of tropical cyclones based on sea surface temperatures (SST) in a warming environment. While this study motivates the development of new methodologies in statistics and data mining, the ability to solve challenging climate science problems with innovative combinations of traditional and state-of-the-art methods is demonstrated. Here we develop new insights, albeit in a proof-of-concept sense, on the relationship between sea surface temperatures and hurricane frequencies, and generate the most likely projections with uncertainty bounds for storm counts in the 21st-century warming environment based in turn on the Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios. Our preliminary insights point to the benefits that can be achieved for climate science and impacts analysis, as well as adaptation and mitigation policies, by a solution strategy that remains tailored to the climate domain and complements physics-based climate model simulations with a combination of existing and new computational and data science approaches.
Laboratory Scenarios Description
Table explaining the naming convention and parameters of FLEA experiments performed in the laboratory.
High Mountain Asia Rasterized PyGEM Glacier Projections with RCP Scenarios V001
This data set comprises a rasterized (gridded) version of the of glacier point data from the Python Glacier Evolution Model (PyGEM) that include projections of glacier mass change, glacier runoff, and the various components associated with changes in mass and runoff.
High Mountain Asia PyGEM Glacier Projections with RCP Scenarios V001
This data set comprises results from the Python Glacier Evolution Model (PyGEM) that include projections of glacier mass change, glacier runoff, and the various components associated with changes in mass and runoff.
Global PyGEM-OGGM Glacier Projections with RCP and SSP Scenarios V001
This data set comprises results from a hybrid glacier evolution model that uses the mass balance module of the Python Glacier Evolution Model (PyGEM) and the glacier dynamics module of the Open Global Glacier Model (OGGM). Output parameters include projections of glacier mass change, fixed runoff, and various mass balance components at regionally aggregated and glacier scales.
BioS-DB: a multimodal database of individuals in a public speaking scenario, including emotional annotation
<p>The BioS-DB (BioSpeech Database), is a database of indivduals speaking infront of others in both German and English. BioS-DB includes 55 indivdual (33 male and 22 female), with a mean age of 28.9 years ( ± 10.5 years). Individuals were predominately German Natives (33) - and either students (30) or staff from the computer science department at the University of Augsburg, Germany. The average speech length was 45 s for German and 42 s for English.</p> <p>During the speech, individuals were being evaluated for their emotion (valence / arousal) in a time-continuous way. Individuals were also attached to Blood Volume Pulse, and Skin Conductance sensors, while audio was captured from a lapel microphone and additionally a room microphone.</p> <p>Alice Baird, Shahin Amiriparian, Miriam Berschnider, Maximilian Schmitt, and Björn Schuller (2019),<em> Predicting Biological Signals from Speech: Introducing a Novel Multimodal Dataset and Results</em>, The Multimodal Signal Processing Conference, Kuala Lumpur, Malaysia, Sept 2019. 5 pages.</p> <p><strong>Version 2.0: </strong>This version contains the raw biological signal, and the individual annotations for re-computing the gold-standard. </p> <p>Alice Baird, Shahin Amiriparian, Manuel Milling, Björn Schuller (2020), <em>Emotion Recognition in Public Speaking Scenarios Utilising an LSTM-RNN Approach With Attention, </em>The Speech Language Technology Conference, held virtually (to appear) Jan. 2021. 5 pages. </p>
Hydrologic future scenarios for the main Nile tributaries.
<p><span>The water supply model considers four main tributaries to the Nile: Blue Nile, White Nile, Dinder-Rahad and Tekeze-Atbara.</span></p> <p><span>Starting from future time series created according to three RCPs scenarios (RCP2.6, RCP4.5 and RCP8.5), a large ensemble of uncertain streamflow is generated by altering the timing and magnitude of extremes (Quinn, J. D., et al. Exploring how changing monsoonal dynamics and human pressures challenge multireservoir management for flood protection, hydropower production, and agricultural water supply. Water Resources Research, 2018, 54.7: 4638-4662). Future streamflows are derived from IPCC 5<sup>th</sup> assessement’s projections of temperature and precipitation using the HBV model and altered by first fitting the monthly means in a Fourier decomposition and then applying perturbations on amplitudes and phases to strengthen the magnitude of extremes and/or their timing. </span></p> <p><span>For each combination of tributary and RCP, 100 different realizations of the monthly streamflow of a 94-year-long time series are generated.</span></p> <p><span>Data are divided based on tributaries and climatic scenarios. In each file, every row is one of the 100 different realizations of the monthly streamflow time series, while each column contains the monthly streamflow of the river reported in m<sup>3</sup>/s starting from January 2007 in the first column until December 2100</span><span> in the last</span><span>. </span></p> <p><span> </span></p>
Italy's energy system model (Electricity, Heat and Hydrogen), with 6 region resolution simulation under PNIEC2019 scenario. (April 2024)
<p>Parameters and Sets files for an updated model built for Italy's energy system model (Electricity, Heat and Hydrogen), with 6 region resolution simulation under PNIEC2019 scenario. (April 2024)</p> <p>* Data are designed as an input for Hypatia Modelling Framework</p> <p>** Model was develeped for master thesis study " Investigating the regional contributions to the Italian decarbonization: an Energy Modelling multi-regional approach." C. Lo Guidice, F. Cruz, K. Gad, E. Colombo</p>
Network Scenario Data PVact Exploration
<p>This data comprises the files for the scenarios investigating the influence of the network parameters in the PVact exploration paper.</p> <p>The .csv and .xls files comprise the data of the respective (sub-)scenarios, whereas the .sh scripts document how the data was downloaded. The calculations were done on the infrastructure of the Leipzig Computing Center as is documented in the respective paper. </p>
Attitude Scenario Data PVact Exploration
<p>This data comprises the files for the attitude-varying scenarios in the PVact exploration paper.</p> <p>The .csv and .xls files comprise the data of the respective (sub-)scenarios, whereas the .sh scripts document how the data was downloaded. The calculations were done on the infrastructure of the Leipzig Computing Center as is documented in the respective paper. </p>
ENGAGE Global Scenarios
<p>This data set includes global climate change mitigation scenarios as summarized by Riahi et al., 2021. The scenarios are developed as part of the <a href="http://www.engage-climate.org/">ENGAGE</a> project and were assessed in terms of the their investment implications (Bertram et al., 2021), their land-use dynamics (Hasegawa et al., 2021) as we all as with respect to their costs and benefits (Drouret et al., 2021). The scenarios include a current national policies scenario and an NDC scenario that depict relevant near-term GHG emission tends and targets. In the long-term, two types of CO<sub>2</sub> emission budgets are implemented, so called “net-zero budgets” and “end-of-century” budgets. The “net-zero-budget”<strong> </strong>scenarios assume climate policies that limit the remaining cumulative CO<sub>2</sub> emissions until net zero CO<sub>2</sub> emissions are reached. These scenarios limit the temperature overshoot and do not rely on global net-negative CO<sub>2 </sub>emissions to keep warming below the intended temperature limit. In contrast, the “end-of-century budget”<strong> </strong>scenarios assume long-term climate policies that limit cumulative CO<sub>2</sub> emissions over the full course of the 21<sup>st</sup> century. Depending on the availability of carbon dioxide removal options, these scenarios may comprise high temperature overshoot and global net negative CO<sub>2</sub> emissions in the second half of the century. The near-term dimension of current national policies until 2020 or NDCs until 2030 is then combined with reaching the net-zero and full-century CO<sub>2</sub> emissions budgets. To cover a relevant range of temperature outcomes (which in addition to the budgets themselves also determined by mitigation of non-CO<sub>2</sub> GHG and aerosol emissions), the budgets are varied between 200 and 3000 GtCO<sub>2</sub> in steps of 50 – 500 GtCO<sub>2</sub>.</p> <p>The data is available for download at the <a href="https://data.ece.iiasa.ac.at/engage/">ENGAGE Scenario Explorer</a>. The license permits use of the scenario ensemble for scientific research and science communication, but restricts redistribution of substantial parts of the data. Please refer to the FAQ and <a href="https://data.ece.iiasa.ac.at/engage/#/license">legal code</a> for more information.</p>
Permafrost model for the Argentinian Andes - Results and climatic scenarios
<p><strong>Supplementary information to the following publication: </strong></p> <p><strong>Tapia Baldis C, Trombotto Liaudat D. 2020. Permafrost debris-model in Central Andes of Argentina (28°-33° S). Cuadernos de Investigación Geográfica 46, <a href="http://doi.org/10.18172/cig.3802">http://doi.org/10.18172/cig.3802</a></strong></p> <p>To predict regional-scale spatial patterns of permafrost occurrence, especially over remote environments with limited data, empiric-statistical models are widely used. This kind of approach correlates permafrost occurrence with topo-climatic factors (altitude, geographic position, slope, aspect, air temperature, ground temperature, solar radiation, etc.) easily available, in some cases. Different combinations of empiric-statistical models were tested to evaluate the permafrost spatial distribution in the study area.</p> <p>The study area (28° to 33°S and 70°30’ to 69°W) comprises the middle portion of the South American (Argentinian side) Central Andes (17°30’ to 35°S), named Dry Andes. The landscape is expressed as mountain ranges and valleys with 50% of the terrain surface above 3000 m a.s.l. The highest elevations are represented by mountain peaks such us Mercedario (6850 m a.s.l.) or La Ramada (6400 m a.s.l.). The Dry Andes could be further separated into Desert Andes (17°30’ to 31°S) and Central Andes (31° to 35°S), according to precipitation rates and landscape geomorphological characteristics. </p> <p>Models were trained in a calibration area to evaluate the correlation between geomorphological permafrost indicators (named explanatory variable) and the topoclimatic parameters (predictive variable). A logistic regression model with a logit link function was chosen as a mathematical approach.</p> <p>Data for model calibration was obtained from the Bramadero river basin, located at 31°50’ S and 70°00’ W in the Central Andes. From a geomorphological point of view, the landscape of the Dry Andes is characterized by the interdigitation of glacial, periglacial, alluvial, fluvial, and gravitational processes. The Bramadero river basin was largely glaciated during the LGM, even today it is possible to recognize erosive forms and glacial deposits all over the main valley and subordinated creeks. Even though Quaternary glacial stages modeled the landscape; periglacial features prevail today. Currently, periglacial processes are active in elevations exceeding 2700 m a.s.l. (lowest limit of seasonal freezing), however, a wide variety of periglacial deposits and permafrost indicating cryoforms occur between 3400 and >4500 m a.s.l. (permafrost periglacial belt).</p> <p>The complete geomorphological characterization of the Bramadero river basin and the geomorphometric data extracted from every kind of landform were used to set up the permafrost predictive categories. The first predictive category (presence) includes geoforms that indicate current permafrost, such as; active rock glaciers, inactive rock glaciers, protalus lobes, cryoplanation surfaces, and perennial snow patches. The second category (absence) includes geoforms without current permafrost (relict or fossil rock glaciers, bedrock outcrops, glacial abrasion surfaces, debris/mud flows, and Andean wetlands/peatlands types). It also includes geoforms where the presence of permafrost could not be certainly assessed such us: frozen and unfrozen talus slopes, glaciers and covered glaciers, moraines and morainic complexes, debris/snow avalanches, rock avalanches, and rock slides.</p> <p><strong>The following link can accede data from the calibration area: </strong></p> <p><strong>Tapia Baldis, Carla. (2018). Permafrost model for the Argentinian Andes - Calibration data set [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.7229569">https://doi.org/10.5281/zenodo.7229569</a></strong></p>
Code and data from : Using a spatially explicit population model to evaluate cost-effective management scenarios for an invasive deer population
<p>This record contains the following:</p> <p>-"WoJ SEPM.Rmd": Script used to build our spatially explicit population model, run simulations for our scenarios and calculate population summary statistics</p> <p>-"WoJ cpue.Rmd": Script used to run our catch-per-unit-effort model that estimates relationship between deer density and number of deer shot per hour</p> <p>-"Cost estimates.Rmd": Script used to calculate costs for each scenario</p> <p>-"Costs functions.R": Functions that are called in the "Cost estimates" script.</p> <p> </p> <p>In addition, all datafiles required to run the scrips are included here.</p>
Fig. 6 in Cryptic diversity, sympatry, and other integrative taxonomy scenarios in the Mexican Ceratozamia miqueliana complex (Zamiaceae)
Fig. 6 Chernoff faces. See the BMaterials and methods^ section for further explanation
Fig. 5 in Cryptic diversity, sympatry, and other integrative taxonomy scenarios in the Mexican Ceratozamia miqueliana complex (Zamiaceae)
Fig. 5 Boxplot. See the BMaterials and methods^ section for further explanation
Fig. 2 in Cryptic diversity, sympatry, and other integrative taxonomy scenarios in the Mexican Ceratozamia miqueliana complex (Zamiaceae)
Fig. 2 Linear discriminant analysis for variables shown in Table 5
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.