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98 results for “future scenario”

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zenodo28/100

Supplementary material 2 from: Lessi BF, Geneletti D, Cortinovis C, Dias MM, Reis MG (2024) Bird richness and Ecosystems Services across an urban to natural gradient in south-eastern Brazil: implications for landscape planning and future scenarios. One Ecosystem 9: e114955. https://doi.org/10.3897/oneeco.9.e114955

Supplementary material 2

opencc-zeroJan 2024View details →
zenodo28/100

Supplementary material 3 from: Lessi BF, Geneletti D, Cortinovis C, Dias MM, Reis MG (2024) Bird richness and Ecosystems Services across an urban to natural gradient in south-eastern Brazil: implications for landscape planning and future scenarios. One Ecosystem 9: e114955. https://doi.org/10.3897/oneeco.9.e114955

Supplementary material 3

opencc-zeroJan 2024View details →
zenodo28/100

Supplementary material 1 from: Lessi BF, Geneletti D, Cortinovis C, Dias MM, Reis MG (2024) Bird richness and Ecosystems Services across an urban to natural gradient in south-eastern Brazil: implications for landscape planning and future scenarios. One Ecosystem 9: e114955. https://doi.org/10.3897/oneeco.9.e114955

Supplementary material 1

opencc-zeroJan 2024View details →
zenodo28/100

Indicators for quantifying and classifying future water supply infrastructure scenarios in waterbodies surrounding San Antonio within Bexar County, Texas

Indicators for quantifying and classifying future water supply infrastructure scenarios in waterbodies surrounding San Antonio within Bexar County, Texas

restrictedcc-by-4.0May 2024View details →
zenodo28/100

Simulated streamflow datasets under different future scenarios for near-future (NF, 2031-2060) and far-future (FF, 2071-2100) periods.

Open the record for dataset details and reuse information.

opencc-by-4.0Jun 2024View details →
zenodo28/100

Future forest flux (e.g., GPP, NPP, NEP) simulated by the optimized InTEC model under four SSP-RCP scenarios

Open the record for dataset details and reuse information.

opencc-by-4.0Sep 2024View details →
dryad28/100

Challenges of students and residents of human medicine in the first four months of the fight against the Covid-19 pandemic – Implications for future waves and scenarios

<p><strong>Introduction:</strong> In the fight against the Covid-19 pandemic, medical students and residents are expected to adapt and contribute in a healthcare environment characterized by ever-changing measures and policies. The aim of this narrative review is to provide a summary of the literature that addresses the challenges of students and residents of human medicine in the first four months of the fight against the Covid-19 pandemic in order to identify gaps and find implications areas for improvement within the current situation and for potential future scenarios. <br> <strong>Methods:</strong> We performed a systematic literature search and content analysis (CA) of articles available in English language that address the challenges of students and residents of human medicine in the first four months of the fight against the Covid-19 pandemic.<br> <strong>Results:</strong> We retrieved 82 articles from a wide range of journals, professional backgrounds and countries. CA identified five recurring subgroup topics: «faculty preparation», «uncertaintiesy and mental health», «clinical knowledge», «rights and obligations» and «(self-) support and supply». Within these subgroups the main concerns of «(re)deployment», «interruption of training and career», «safety issues», «transmission of disease», and «restricted social interaction» were identified as potential stressors that hold a risk for fatigue, loss of morale and burnout.<br> <strong>Discussion:</strong> Students and residents are willing and able to participate in the fight against Covid-19 when provided with appropriate deployment to areas of need, thorough supervision, legal guidance, Personal Protective Equipment (PPE)safety measures and, clinical necessary knowledge, thorough supervision, social integration and mental health support. Preceding interviews to decide on reasonable voluntary deployment, the use of new technology and frequent feedback communication with faculties, educators and policymakers can further help with a successful and sustainable integration of students and residents in the fight against the pandemic.Faculties and policymakers should be in close contact with the youngest in training and be cognizant of their concerns and intrinsic creativity on the scenario. The use of new technology for interaction and knowledge provision, preceding interviews to decide on reasonable voluntary deployment and the provision of mental health support seem important measures to aid students and residents in the fight against the current pandemic.<br> <strong>Conclusion:</strong> It is critical that faculties, educators and policymakers have a better thorough understanding of the needs and concerns of medical trainees during this pandemic times. Leaders should facilitate close communication with students and residents, value their intrinsic creativeness and regularly evaluate their needs in regards to deployment, knowledge aspects, safety measures, legal concerns and overall well-being.</p>

opencc-zeroOct 2021View details →
zenodo28/100

Determinants of energy futures - a scenario discovery method applied to cost and carbon emission futures for South American electricity infrastructure

<p>Scenario discovery SAMBA data files:</p> <p>1) &nbsp;The folder SAMBA_324_datafiles.zip contains all 324 data files for the OSeMOSYS run.<br> &nbsp;&nbsp; &nbsp;Each of these files has a code on top referring to the combination that it represents.<br> &nbsp;&nbsp; &nbsp;The key to the levers is in the Excel file &quot;Metafile&quot;. There the naming convention of technologies as well as corresponding&nbsp; combination for scenario are also available.<br> 2) &nbsp;The Access database Scenario_discovery_database.mbd contans results from the 324 runs.<br> &nbsp;&nbsp; &nbsp;The key to the scenarios are in the Excel file &quot;Metafile&quot; tab &quot;Scenario_key&quot;.<br> 3) &nbsp;The file OSeMOSYS_SAMBA_161130.txt is the version OSeMOSYS that was used to run all scenarios.<br> 4) &nbsp;The PRIM analysis is available on the GitHub repository: https://github.com/NMoksnes/Scenario_discovery</p>

opencc-by-4.0Dec 2018View details →
zenodo28/100

Future climate under CMIP6 solar activity scenarios

<p>This dataset is used for the paper:&nbsp; Future climate under CMIP6 solar activity scenarios</p>

opencc-by-4.0Nov 2022View details →
dryad28/100

Challenges of students and residents of human medicine in the first four months of the fight against the Covid-19 pandemic – Implications for future waves and scenarios

Open the record for dataset details and reuse information.

publicOct 2021View details →
dryad28/100

Data from: Impacts of silicon-based grass defences across trophic levels under both current and future atmospheric CO2 scenarios

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publicFeb 2017View details →
zenodo20/100

Future simulation of the provision of multiple ecosystem services under scenarios of landscape development in Switzerland until 2060

<p>This dataset is a preliminary product of ongoing research, it was created for the purpose of analysis for the final report of the <a href="https://valpar.ch/index_de.php">ValPar.CH project</a> and should not be relied upon for formal analysis. It will be updated and expanded upon in upcoming publications because of this access is contingent upon request to the data creators.&nbsp;</p> <p>The dataset consists of simulated maps of the provision of 8 ecosystem services for the years 2020 and 2060 under 5 different scenarios of Land Use and Land cover (LULC) change. The maps covering the extent of Switzerland and are presented as 100m resolution raster data.&nbsp;</p> <p>The ecosystem services were calculated using models adpated from the work of K&uuml;lling et al. 2024: &nbsp;</p> <div> <div>K&uuml;lling, Nathan, Antoine Adde, Audrey Lambiel, Sergio Wicki, Antoine Guisan, Adrienne Gr&ecirc;t-Regamey, and Anthony Lehmann. 2024. &lsquo;Nature&rsquo;s Contributions to People and Biodiversity Mapping in Switzerland: Spatial Patterns and Environmental Drivers&rsquo;. <em>Ecological Indicators</em> 163 (June):112079. <a href="https://doi.org/10.1016/j.ecolind.2024.112079">https://doi.org/10.1016/j.ecolind.2024.112079</a>.<br><br>The scenarios of LULC change were taken from the work of Black et al. 2024:&nbsp;</div> </div> <div> <div>Black, Benjamin, Antoine Adde, Daniel Farinotti, Antoine Guisan, Nathan K&uuml;lling, Manuel Kurmann, Caroline Martin, et al. 2024. &lsquo;Broadening the Horizon in Land Use Change Modelling: Normative Scenarios for Nature Positive Futures in Switzerland&rsquo;. <em>Regional Environmental Change</em> 24 (3): 115. <a href="https://doi.org/10.1007/s10113-024-02261-0">https://doi.org/10.1007/s10113-024-02261-0</a>.</div> <div>&nbsp;</div> <div>THe README file provides further details of the ecosystem services and land use scenarios.&nbsp;</div> </div>

restrictedcc-by-4.0Nov 2024View details →
zenodo20/100

Future land use/cover change (LUCC) simulated by FLUS and SD model under four SSP-RCP scenarios

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opencc-by-4.0Sep 2024View details →
zenodo20/100

Future forest age distribution after land use/cover change under four SSP-RCP scenarios

Open the record for dataset details and reuse information.

opencc-by-4.0Sep 2024View details →
zenodo20/100

Microbiota-enabled Forecast of Global Grassland pH Dynamics under Future Climate Warming Scenarios

<p>Affilted dataset for analysis and scripts for modelling.</p>

opencc-by-4.0Jun 2023View details →
zenodo16/100

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&rsquo;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>&nbsp;</span></p>

restrictedcc-by-4.0Mar 2024View details →
zenodo16/100

Energy Consumption Reduction in Historic Urban Residential Sectors: A Case Study of Kyoto City Using Bottom-Up Modeling and Future Climate Scenarios

<p>This dataset is a detailed simulation result of 21 scenarios in the paper. The results include:</p> <ol> <li>Annual daily energy consumption data divided by energy source and residential type.</li> <li>Photovoltaic power generation data, direct photovoltaic use, battery use, and photovoltaic power generation consumed by apartment houses and Kyomachiya through P2C systems.&nbsp;</li> <li>Annual daily net energy consumption data divided by energy source and residential type.</li> </ol>

restrictedcc-by-4.0Oct 2024View details →
zenodo16/100

SCALABLE - Social-ecological pathways and gender perspectives for future conservation of biocultural mountain agro-ecosystems - Deliverable 3.1: Future scenarios developed for the conservation of mountain agro-ecosystems

<p>This dataset contains the results from participatory mapping workshops with local communities in the municipality of Abrucena, in Almer&iacute;a, Spain. Participatory workshops were carried out divided by gender in different days. In addition, within each workshop, participants were dividing in two different groups. Participants were asked to: a) map future biocultural diversity elements in the region (i.e., practices, knowledge, and traditions); and b) identify strategies to reach the ideal future scenario for the conservation of biocultural diversity in the region.</p> <p>In this upload you can find 4 files:</p> <p>1- Database of future scenarios for biocultural diversity identified by women: this file contains the dataset with biocultural diversity elements identified and classified by three categories: practices, knowledge, traditions.</p> <p>2- Database of future strategies to achieve future scenarios for the conservation of biocultural diversity identified by women: first sheet contains the dataset with strategies identified, and actors involved in each strategy. Second sheet contains general observations of the strategies to facilitate the interpretation of the data.</p> <p>3- Database of future scenarios for biocultural diversity identified by men: this file contains the dataset with biocultural diversity elements identified and classified by three categories: practices, knowledge, traditions.</p> <p>4- Database of future strategies to achieve future scenarios for the conservation of biocultural diversity identified by men: first sheet contains the dataset with strategies identified, and actors involved in each strategy. Second sheet contains general observations of the strategies to facilitate the interpretation of the data.</p>

restrictedAug 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record