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1,751 results for “Future”
Nifty spot, futures and options one-minute data from 2017 to 2020
<p>This dataset consists of one-minute trade data of Nifty spot, futures and options for 2017 to 2020. Options data are organized as: Opt type, strike price, trade dt, trade time, Open, High, Low, Close and volume. Futures data are organized as Nifty_F1, trade date, trade time, Open, High, Low, Close and volume. The yearly options folders are organized into monthly folders. The monthly folders end with the expiration date for that month. Each monthly folder contains separate files for the strike prices traded till the expiration date of that month. For instance, the Nifty11200CE spreadsheet in the December 2019 folder has the one-minute OHLC data for the 11200 call from 23-Oct-2019 till the expiration date of 26-Dec-2019.</p>
Data for study " Future Climate Change Impacts on Rice in Uttar Pradesh, India's Most Populous Agrarian State "
<p>Crop management practicrs used to calibrate the DSSAT for Uttar Pradesh. The rice genetic coefficients for various rice varieties/ cultivars are also available here.</p>
Dataset and code for "Evident decrease in future European soil moisture in the Kiel Climate Model grand ensemble"
<p>Here, you only have the processed data. Most calculations have been made with CDO (version 2.0.6 or 1.9.9). The history of commands made can be seen in the file with a simple ncdump -h file. If you need to see more data, please contact the corresponding author.</p>
A companion dataset to the paper Scenarios of future climate zone changes in Europe based on EURO-CORDEX regional model ensemble by Holtanová et al., to be submitted to Regional Environmental Change
<p>The content of the dataset is described in the metadata.txt file. </p>
Simulation data for 'Near-future rocket launches could slow ozone recovery'
<p>SOCOL4 simulation data for 'Near-future rocket launches could slow ozone recovery' by Revell, Bannister, et al.</p> <p>See Table 1 of the paper and Methods for simulation descriptions.</p> <p>Files<br>socol4_roc3_chem_mm_zon_34-59.nc: GAS simulation<br>socol4_roc4_chem_mm_zon_34-59.nc: BC simulation<br>socol4_roc5_chem_mm_zon_34-59.nc: Al2O3 simulation<br>socol4_roc6_chem_mm_zon_34-59.nc: REFERENCE simulation<br>socol4_roc7_chem_mm_zon_34-59.nc: ALL simulation (ambitious growth scenario)<br>socol4_roc8_chem_mm_zon_34-59.nc: ALL simulation (conservative growth scenario)<br>socol4_roc7_solid_ymm_2050-2059.nc: Black carbon and alumina distributions. Black carbon is variable 'CaC1' and alumina is variabile 'Ca1'.</p>
Future wave climate in the Mediterranean Sea and associated uncertainty from an ensemble of 31 GCM-RCM wave simulations
<p>The data provided is used in a study aimed at assessing future changes in the Mediterranean wave climate. A total of 31 GCM-RCM simulations were used to characterize the wave climate during the historical (1979-2005), mid-century (2034-2060), and end-century (2074-2100) periods. Changes in seasonal significant wave height (Hs) and peak period (Tp) wave parameters are evaluated for both the mean and intense (quantile 0.95) wave climate, along with the shift in wave direction (wave peak dominant direction, θp) for sea states characterized as intense. The robustness of the climate change signal is evaluated following the guidelines outlined in the Sixth Assessment Report (AR6) of the Intergovernmental Panel on Climate Change. Additionally, using a wave hindcast as a reference, the changes in future extreme events are assessed by fitting a GEV to a unique and coherent set of bias-corrected annual maxima from each model.</p> <p>We provide data used to obtain the results of our study, comprising: 1) wave climate statistics for Hs, Tp, and θp for each model and each period studied; 2) two sets of annual maxima distribution for each model, which were bias-corrected assuming that the set of extreme events follows either a Gumbel distribution or a GEV distribution. For more details on the methods to obtain these files describing wave climate statistical as used in the study, please refer to Toomey et al., 2024: "Future wave climate in the Mediterranean Sea and associated uncertainty from an ensemble of GCM-RCM wave simulations."</p>
FESOM-REcoM model data: Predicting future distribution of Antarctic toothfish (Dissostichus mawsoni), with implications for Marine Protected Areas in the Southern Ocean
<p>This data set belongs to <strong>"Predicting future distribution of Antarctic toothfish (<em>Dissostichus mawsoni</em>), with implications for Marine Protected Areas in the Southern Ocean"</strong> by <a>Rebecca Konijnenberg, Cara Nissen, Casper Kraan, Jilda Cavacco, Peter Yates, Philippe Ziegler, and Katharina Teschke (in preparation). </a></p> <p>Contact for data set: cara.nissen@colorado.edu</p> <p>The data provided here are post-processed from the raw FESOM1.4-REcoM2 model output which can be obtained <br>at the World Data Center for Climate (WDCC): <a href="https://www.wdc-climate.de/ui/project?acronym=HighRes_highLat_SO">https://www.wdc-climate.de/ui/project?acronym=HighRes_highLat_SO</a></p> <p>simA (historical simulation): <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_hist_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_hist_vA_vC</a><br>simA-ssp126: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s126_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s126_vA_vC</a><br>simA-ssp245: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s245_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s245_vA_vC</a><br>simA-ssp370: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s370_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s370_vA_vC</a><br>simA-ssp585: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s585_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s585_vA_vC</a><br>simB (control simulation): <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_B_1921_cA_cC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_B_1921_cA_cC</a></p> <p>Here, we provide decadal monthly climatologies of the following variables: sea-ice fraction, surface small-phytoplankton chlorophyll, surface diatom chlorophyll, as well as potential temperature, practical salinity and oxygen concentrations (all at the surface, at the bottom, at 100m, at 250m, at 500m, at 1000m, and at 1500m). For example, "tos" is temperature in ocean at surface", while "tob" is "temperature in ocean at bottom" (with <em>bottom</em> here being the deepest available model grid cell at each location).</p> <p>We also provide the script used to re-grid the original model output to the regular 0.25° x 0.0625° mesh used in this study. </p>
FUTURE Science Frontiers
<p>The Table S1-S6 are curated breakout notes from the NSF-funded FUTURE 2024 Workshop (March 26-28, 2024). During the workshop, the first day of discussions focused on <em>“Critical science questions that require seafloor sampling,” </em>where participants: (I) defined the important sample types/sampling environment of their research; (II) assessed how well this seafloor environment is currently sampled; (III) reviewed how sample repositories/databases are currently used; and, (IV) evaluated justifications for acquiring new samples. Each breakout session culminated with a discussion of (V) what important science questions could be addressed soon (5–10 years), with existing or forthcoming assets and technologies, versus (VI) what might take longer (10+ years) and/or require the development of new assets or technologies. These motivating topics fed into the second day of discussions, which focused on <em>“Aligning seafloor sampling technology with critical science questions.” </em>Groups were guided by a common set of prompts, including what current resources were essential to the participants’ research, and what were the greatest challenges they faced in recovering the materials needed. The participants also discussed whether they could acquire the materials needed to address their science questions given current US assets (Figure 1 in FUTURE 2024 PI-team, 2024, AGU Advances 2024AV001560), how sample repositories and databases could be optimized for science needs, and the justification for acquiring or developing new technologies.</p> <p> </p>
The HEC method processing code and output for constrained precipitation extremes reveal unequal future socioeconomic exposure
Open the record for dataset details and reuse information.
Exploring Immersive Virtual Reality in Higher Education: Research Gap and future Direction - A Scoping review
<p><span>The rapid advancement of technology in the post-COVID-19 era has positioned immersive learning as a transformative approach to enhance educational experiences. Despite its vast potential, recent research developments reveal persistent challenges and gaps that impede widespread adoption. This study conducts a scoping review using the PRISMA methodology to systematically analyze current literature, identify research gaps, seek the challenge, and propose future research directions. From an initial pool of 414 papers, 75 were selected, comprising 60 research studies and 15 review papers. Notably, 55 studies focus on immersive virtual reality (IVR) purely for educational enhancement in traditional academic settings, while 20 explore the implementation of IVR in education with gaming activities. The analysis indicates a predominance of mixed-methods research within education, computer engineering, and computer science. Most studies are limited by short durations (typically 30 minutes) and small participant groups (under 50), raising concerns about the generalizability of findings. Key themes identified include learning context (21 papers), learning design strategies (10 papers), and immersion elements such as avatars and haptic feedback (6 papers). While positive impacts like increased satisfaction, motivation, engagement, knowledge enhancement, and usability are reported, negative effects such as motion sickness (13 papers) and dizziness (11 papers) persist. Crucially, only 11 studies exhibit high statistical power, underscoring the need for more robust research designs. Challenges identified encompass participant limitations, homogeneity, user discomfort, hardware unfamiliarity, and cognitive load—all intricately linked to design strategies. The implications of this review highlight the necessity for future research to focus on long-term studies, optimize user experience, develop cost-effective content creation methods, and integrate gamification into learning design. Addressing these areas is essential for overcoming current barriers and fully realizing the potential of immersive learning in education.</span></p>
Data products from "An 85-year record of glacier change and impacts on future projections for Kennicott and Root Glaciers, Alaska"
<p>DEMs, orthophotos, glacier outlines, historical velocity, model outputs, and ice-penetrating radar data from "An 85-year record of glacier change and impacts on future projections for Kennicott and Root Glaciers, Alaska". File structure is shown in the readme file.</p>
Combined Effects of Future Urban Growth and Climate Change on Irrigation Water Demand in Central Arizona
<p>This dataset contains the simulation results of the combined effects of future urban growth and climate change on irrigation water use in the Phoenix Metropolitan Area, central Arizona. The simulation is conducted with the Variable Infiltration Capacity (VIC) model at 1-km, hourly resolution from 1981-2100 and aggregated to 30-yr average in this dataset. </p> <p>The 30-yr average results are compressed and organized into three files: <strong>Baseline</strong>, <strong>ICLUS2050</strong>, and <strong>ICLUS2100</strong>. The Baseline file contains results using the historical land cover map (year 2010). The <strong>ICLUS2050</strong> and <strong>ICLUS2100</strong> contain results using future land cover maps. The filename of modeling results contains the associated land cover and climate change scenario as follows: "fluxes.irri.ICLUS_<em>$YEAR</em>_<em>$LCSCE</em>.<em>$CLSCE.$GCM</em>.nc", where <em>$YEAR</em> is the year of land cover change projection (2050 or 2100), <em>$LCSCE</em> is the land cover change scenario (SSP2 or SSP5), <em>$CLSCE</em> is the climate change scenario (RCP45 or RCP85), and <em>$GCM</em> is the GCM used (eight in total) </p> <p>More details can be found on the associated paper (this record will be updated when the paper is published):</p> <p>Wang, Z., and Vivoni, E.R. 2021. Combined Effects of Future Urban Growth and Climate Change on Irrigation Water Demand in Central Arizona. <em>Journal of the American Water Resources Association (in revision)</em>.</p>
Connectivity Matrices from biophysical modelling studies for A. millepora coral larvae in the Great Barrier Reef (Australia); present day and future scenarios
<p>These data contain connectivity matrices from biophysical modelling simulations of the dispersal of <em>Acropora millepora</em> coral larvae in the southern Great Barrier Reef (Australia), under present-day and future climate scenarios. The connectivity matrices represent modelled strength of larval transfer from one reef to another, and were obtained using a coupled reef-scale, high-resolution, depth-integrated finite element hydrodynamic model (SLIM) of water currents in the Great Barrier Reef, and Individual-Based particle tracking module. Biological parameters to model larval acquisition and loss of competency and mortality were based on the results of experiments detailed in the related journal article. We include connectivity matrices for 2 different water temperature scenarios representing current and future climates, for three different recent spawning seasons (2008, 2009, 2010), and also for scenarios where low-frequency currents through the domain are modulated to mimic the likely effects from future changes to large-scale circulation extracted from CMIP5 global climate models.</p> <p>We also include files summarising the relative changes, per reef, to certain key connectivity metrics between the 2 temperature scenarios (dispersal distance, local retention, number of incoming connections, "source index", and present day "source index" - all metrics are defined in the related journal article and Methods section of this metadata), averaged over all 3 spawning seasons modelled, as plotted in Figs 1a-e in the related journal article. Additionally, we include a separate file summarising changes to reef recovery times following a disturbance to coral cover between the 2 temperature scenarios, per reef, as modelled using the meta-population model described in the related journal article, and as shown in Fig 2 of the article.</p>
No evidence for future planning in Canada Jays (Perisoreus canadensis)
In the past 20 years, research in animal cognition has challenged the belief that complex cognitive processes are uniquely human. At the forefront of these challenges has been research on mental time travel and future planning in jays. We tested whether Canada Jays (<i>Perisoreus canadensis</i>) demonstrated future planning, using a procedure that had previously produced evidence of future planning in California Scrub-Jays (Aphelocoma californica). Future planning in this procedure is caching in locations where the bird will predictably experience a lack of food in the future. Canada Jays showed no evidence of future planning in this sense and instead placed caches in a location where food was usually available, the opposite of the behaviour described for California Scrub-Jays. We provide potential explanations for these differing results and suggest a re-evaluation of "complex cognition" as an explanation of caching behaviour in jays.
Distribution. Discontinuous and limited to wetland environments in SE Sudan, perhaps the Rift Valley of Ethiopia, W Kenya surrounding Lake Victoria (two locations, very rare), Uganda, Burundi, Rwanda, NW Tanzania, and NE DR Congo. Maps and distributional information here are provisional pending future research. in Bovidae
Distribution. Discontinuous and limited to wetland environments in SE Sudan, perhaps the Rift Valley of Ethiopia, W Kenya surrounding Lake Victoria (two locations, very rare), Uganda, Burundi, Rwanda, NW Tanzania, and NE DR Congo. Maps and distributional information here are provisional pending future research.
Distribution. Discontinuous and limited to wetland environments in the Congo Basin N and W of the range of the Zambezi Sitatunga in S Benin (Porto Novo), S Nigeria, Cameroon, Central African Republic, Equatorial Guinea, Gabon, Republic of the Congo, N DR Congo; also several isolated populations in W Africa (Senegal, Gambia & Guinea-Bissau), NE Nigeria and W Chad, and perhaps extreme S Ghana. Maps and distributional information here are provisional pending future research. in Bovidae
Distribution. Discontinuous and limited to wetland environments in the Congo Basin N and W of the range of the Zambezi Sitatunga in S Benin (Porto Novo), S Nigeria, Cameroon, Central African Republic, Equatorial Guinea, Gabon, Republic of the Congo, N DR Congo; also several isolated populations in W Africa (Senegal, Gambia & Guinea-Bissau), NE Nigeria and W Chad, and perhaps extreme S Ghana. Maps and distributional information here are provisional pending future research.
Distribution. Discontinuous and limited to wetland environments in two areas of S Sudan: small swamps in SW Sudan near the DR Congo border, where the type specimen was collected, and the Sudd Swamps (Bahr-el-Ghazal) of the upper White Nile. Maps and distributional information here are provisional pending future research. in Bovidae
Distribution. Discontinuous and limited to wetland environments in two areas of S Sudan: small swamps in SW Sudan near the DR Congo border, where the type specimen was collected, and the Sudd Swamps (Bahr-el-Ghazal) of the upper White Nile. Maps and distributional information here are provisional pending future research.
Maps of relevant snow and frost parameters for the analysis of future vegetation changes in Swiss forests
<p>The latest climate scenarios for Switzerland (CH2018) predict significant changes in temperature and precipitation in the future. This dataset contains maps snow and frost parameters calculated from climate variables that might have significant influence on future forest development. The following factors were calculated for the reference period 1981 - 2010 and the future period 2070 - 2099: Mean first and mean last frost day of the year, date of freezing and thawing of the ground, start and end of constant snow layer, risk of drought caused by frozen ground, wet snow intensity, probability of tree damages because of wet snow. Three different results were calculated for the period 2070 - 2099, based on three different representative concentration pathways (RCP2.6, RCP4.5, RCP8.5, CH2018). Explanations concerning model structure, usability and uncertainties in the data sets can be found in the project report.</p>
Figure 1 in Rediscovery of the endangered Bolivian tiger beetle Pometon bolivianus Huber (Coleoptera: Cicindelidae) and implications for future protection
Figure 1. Pometon bolivianus. (a) Habitat, Cerrado sensu strictu with patches of bare soil, (b) Individual on soil surface.
Diverging conditions of current and potential future urban forest patches
<p>Forested natural areas in cities provide a range of social, ecological, economic, and health benefits. Ensuring the delivery of these benefits requires an understanding of current and potential future forest conditions yet urban forest dynamics are not well understood. Here, we address this knowledge gap by examining forest structure and composition in 126 plots distributed across three forest patch sizes (large (95-126 ha), medium (1-19 ha), and small (0.05-0.65 ha) patches) in the city of New Haven, CT, USA. We detected significant shifts in forest structure and composition suggesting a suite of distinct successional trajectories within each patch size. Large patches comprised 95% native tree species in the canopy ( > 5 cm DBH), sapling (1-5 cm DBH), and seedling (< 1 cm DBH) layers, suggesting that these large patches will continue to be native-dominated in the future— a primary objective for urban forest management. Moreover, in these large patches, shifts in the dominant species in each strata suggest that as large patches move through succession they will transition from moderately-shade tolerant forest types (i.e., oaks) to shade-tolerant types (i.e., American beech)— a similar successional trajectory to surrounding second growth forests in the region. Medium patches were the most heterogenous patch size sampled. Despite this heterogeneity, they generally resembled large patches in the canopy and sapling layers but diverged in the seedling layer. In medium patches, the invasive Norway maple replaced American beech as primary seedling species suggesting a future shift towards non-native dominated forest in the future. Small patches were the most compositionally and structurally distinct patch size sampled. Only 36% of the canopy trees and saplings in small patches were native species, however, this increased to 71% native in the seedling layer. Additionally, the most important seedling species included those that are bird-dispersed highlighting the potentially valuable role that these small, non-native, forest fragments play as wildlife corridors. Collectively, our study demonstrates that multiple forest types, dynamics, and conditions can be found within a single city and that forest patch size offers a helpful framework to begin to parse out these differences.</p>
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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.