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1,751 results for “Future”
FIGURE 12 in Making future taxonomy of Niphargus (Crustacea: Amphipoda: Niphargidae) in the Middle East easier: DELTA database of Middle East species with description of four new species from Iran
FIGURE 12. Niphargus darvishi, sp. nov., Dimeh Spring, male 13 mm (holotype). A, P 3; B, P 4; C, P 5; D, distal part of P5(paratype); E, P 6; F, P 7. Scale bars: 1mm.
FIGURE 8 in Making future taxonomy of Niphargus (Crustacea: Amphipoda: Niphargidae) in the Middle East easier: DELTA database of Middle East species with description of four new species from Iran
FIGURE 8. Niphargus borisi, sp. nov., Belqais Spring, male 9 mm (holotype). A, P 3; B, P 4; C, P 5; D, P 6; E, P 7. Scale bars: 1mm.
FIGURE 4 in Making future taxonomy of Niphargus (Crustacea: Amphipoda: Niphargidae) in the Middle East easier: DELTA database of Middle East species with description of four new species from Iran
FIGURE 4. Niphargus bisitunicus, sp. nov., Sarab-e- Bisitun, male 9 mm (holotype). A, P 3; B, P 4; C, P 5; D, P 6; E, P 7. Scale bars: 1mm.
FIGURES 1–3 in Tiger Beetles' (Coleoptera: Carabidae, Cicindelinae) pupal stage: current state of knowledge and future perspectives
FIGURES 1–3. Pentacomia (Mesochila) smaragdula, pupa. 1—Ventral view; 2—Dorsal view; 3—Lateral view. 4—Fifth abdominal spine, lateral view (See abbreviations in the chapter "List of characters and their abbreviations").
FIGURES 4–5 in Tiger Beetles' (Coleoptera: Carabidae, Cicindelinae) pupal stage: current state of knowledge and future perspectives
FIGURES 4–5. Pentacomia (Mesochila) smaragdula, pupa. 5—Head, dorsal view; 6—Pronotum, ventral view (See abbreviations in the chapter "List of characters and their abbreviations").
FIGURE 1 in Conservation assessments in climate change scenarios: spatial perspectives for present and future in two Pristidactylus (Squamata: Leiosauridae) lizards from Argentina
FIGURE 1. General Niche-Environment System Factor Analysis (GNESFA) and Factor Analysis of the Niche, Taking the Environment as the Reference (FANTER) for Pristidactylus species. Left column: grey points show the distribution of the RUs (here the pixels) on the axes found by the analysis and black points correspond to the RUs used by the species. Right column: correlations between the environmental variables and the axes. References: P. achalensis A–B; P. nigroiugulus C–D.
FIGURE 5 in Conservation assessments in climate change scenarios: spatial perspectives for present and future in two Pristidactylus (Squamata: Leiosauridae) lizards from Argentina
FIGURE 5. Area models for suitability habitat from the averaged replications output for: P. achalensis, A) Present model = 5008.55 km², B) Model for 2050 RCP 45 = 4054.00 km², C) Model for 2050 RCP 85 = 2677.83 km²; P. nigroiugulus, 2) Present model = 71957.34 km², E) Model for 2050 RCP 45 = 56162.45 km², F) Model for 2050 RCP 85 = 38501.27 km². References: Country / province names, protected areas perimeters dashed-green lines, protected areas intersected with suitable areas filled in solid green, localities in red dots, and defined accessible area (M) in the upper left box.
FIGURE 4 in Conservation assessments in climate change scenarios: spatial perspectives for present and future in two Pristidactylus (Squamata: Leiosauridae) lizards from Argentina
FIGURE 4. True skill statistic (TSS) performed on the replicates for each species. References: mod, number of model replicate; values close to 1 indicates perfect agreement, values near zero indicates a performance no better than random.
FIGURE 3. RUs histograms for P in Conservation assessments in climate change scenarios: spatial perspectives for present and future in two Pristidactylus (Squamata: Leiosauridae) lizards from Argentina
FIGURE 3. RUs histograms for P. nigroiugulus. The white columns show the distributions of available RUs, whereas grey columns show the distributions of used RUs.
FIGURE 2. RUs histograms for P in Conservation assessments in climate change scenarios: spatial perspectives for present and future in two Pristidactylus (Squamata: Leiosauridae) lizards from Argentina
FIGURE 2. RUs histograms for P. achalensis. The white columns show the distributions of available RUs, whereas grey columns show the distributions of used RUs.
The Future of Bitcoin: A Quadrillion-Dollar Industry?
<h3>Research on Bitcoin's Potential Future Valuation</h3> <p><strong>Title: The Future of Bitcoin: A Quadrillion-Dollar Industry?</strong></p> <p>This research paper investigates the potential for Bitcoin (BTC) to reach a quadrillion-dollar market cap, with individual BTC prices surpassing $48,000,000. The study examines historical data, market trends, technological advancements, macroeconomic influences, and expert opinions to understand the factors driving such projections.</p> <p>Key highlights include:</p> <ol> <li> <p><strong>Historical Data and Market Trends</strong>:</p> <ul> <li>Bitcoin's price evolution from $0.0041 in 2009 to $75,830 in 2024, marked by significant events such as the Genesis block, Silk Road shutdown, and Tesla's investment.</li> <li>The dataset provides annual high and low prices, alongside major milestones.</li> </ul> </li> <li> <p><strong>Technological Advancements</strong>:</p> <ul> <li>Developments like the Lightning Network and Taproot upgrade enhance transaction speed and efficiency, boosting adoption.</li> </ul> </li> <li> <p><strong>Macroeconomic Influences</strong>:</p> <ul> <li>Bitcoin's role as a hedge against inflation and its fixed supply contrast with fiat currencies.</li> <li>Growth predictions based on M0, M1, and M2 money supply comparisons.</li> </ul> </li> <li> <p><strong>Expert Opinions and Future Projections</strong>:</p> <ul> <li>Insights from Marion Laboure of Deutsche Bank and predictions from CoinCheckup indicate a bullish trend, with potential prices reaching $173,818.51 in a year.</li> </ul> </li> </ol> <p><strong>Conclusion</strong>: The combination of technological progress, economic factors, and growing adoption points to significant growth potential for Bitcoin. This research offers valuable insights for investors and policymakers.</p> <p><strong>References</strong>:</p> <ul> <li>Investopedia, TradingView, CoinCheckup, Deutsche Bank Research, 99bitcoins, Bitcoin Magazine, Forbes India.</li> </ul>
IEPOX-SOA and related chemical/meteorological fields simulated by CESM2/CAM-chem under present and future conditions
This dataset contains IEPOX-SOA (Isoprene epoxydiol derived secondary organic aerosol) concentrations and other related variables under present and future conditions. CESM2.1/CAM6-chem (Community Earth System Model version 2.1 / Community Atmosphere Model version 6 with comprehensive tropospheric and stratospheric chemistry representation) was used with a horizontal resolution of 0.95° in latitude by 1.25° in longitude, and 32 vertical layers up to 1 hPa (40 km). Four shared socioeconomic pathways (SSPs) were used for the simulation of the mid and end of the 21st century - SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. The detailed information is available in Table 1 in the following manuscript: Jo et al., Future changes in isoprene-epoxydiol-derived secondary organic aerosol (IEPOX-SOA) under the shared socioeconomic pathways: the importance of physico-chemical dependency., ACP, 2021 (https://doi.org/10.5194/acp-2020-543). Please contact Duseong Jo (cdswk@ucar.edu) or Louisa Emmons (emmons@ucar.edu) if you have questions about this dataset.
Potential impacts of future warming and land use changes on intra-urban heat exposure in Houston Texas
<p>Extreme heat events in the United States are projected to become more frequent and intense as a result of climate change. We investigated the individual and combined effects of land use and warming on the spatial and temporal distribution of daily minimum temperature (T<sub>min</sub>) and daily maximum heat index (HI<sub>max</sub>) during summer in Houston, Texas. Present-day (2010) and near-future (2040) parcel-level land use scenarios were embedded within 1-km resolution land surface model (LSM) simulations. For each land use scenario, LSM simulations were conducted for climatic scenarios representative of both the present-day and near-future periods. LSM simulations assuming present-day climate but 2040 land use patterns led to spatially heterogeneous temperature changes characterized by warmer conditions over most areas, with summer average increases of up to 1.5°C (T<sub>min</sub>) and 7.3°C (HI<sub>max</sub>) in some newly developed suburban areas compared to simulations using 2010 land use patterns. LSM simulations assuming present-day land use but a 1°C temperature increase above the urban canopy (consistent with warming projections for 2040) yielded more spatially homogeneous metropolitan-wide average increases of about 1°C (T<sub>min</sub>) and 2.5°C (HI<sub>max</sub>), respectively. LSM simulations assuming both land use and warming for 2040 led to summer average increases of up to 2.5°C (T<sub>min</sub>) and 8.3°C (HI<sub>max</sub>), with the largest increases in areas projected to be converted to residential, industrial and mixed-use types. Our results suggest that urbanization and climate change may significantly increase the average number of summer days that exceed current threshold temperatures for initiating a heat advisory for metropolitan Houston, potentially increasing population exposure to extreme heat.</p>
Summer School - Future Maore Reefs -
<p>Talk presentation - Speakers </p><p>Outputs of fieldwork experiences, 3D models, Digital Elevation Models, and Orthomosaic. </p><p>Drone data (images) and data hands-on photogrammetry workshop. </p><p>contact: isabel.urbina-barreto@ird.fr </p>
FIGURE 2 in A synthesis of hornwort diversity: Patterns, causes and future work
FIGURE 2. Proportion of hornwort species in the different genera across regions of the world. Size of the pie diagrams reflects the total number of species in that area (maximum 21 species). See also Supplemental Information 1.
FIGURE 1 in Spider Systematics: Past and Future
FIGURE 1. Species accumulation curves for currently valid spider species, from Clerck to present (solid line) and for currently invalid names (dashed line).
Figure 4. Selachimorpha enameloid. A, P in Chondrichthyan tooth enameloid: past, present, and future
Figure 4. Selachimorpha enameloid. A, P. pockrandti, radial furrows near the SCE, transverse section etched 5 s in 10% HCl. B, P. jurensis, lingual ornament made of SCE, transverse section etched 5 s in 10% HCl. C, Sphyrna sp., cutting edge showing bundles of the PBE oriented normal to the axis of the cutting edge, transverse section etched 5 s in 10% HCl. D, Squatina sp., cutting edge showing bundles of the PBE oriented normal to the axis of the cutting edge, transverse section etched 5 s in 10% HCl.
Figure 1 in Chondrichthyan tooth enameloid: past, present, and future
Figure 1. Schematic organization of a typical selachimorph tooth illustrating the various tissues composing the enameloid cover.
Figure 5. Batomorphii enameloid. A, B in Chondrichthyan tooth enameloid: past, present, and future
Figure 5. Batomorphii enameloid. A, B, Hypsobatis weileri, transverse section etched 5 s in 10% HCl. A, general view of the thin SCE. B, inner part of the enameloid layer, with crystallites showing a slight preferential orientation normal to the occlusal surface. C, D, Rhombodus binkhorsti, transverse section etched 5 s in 10% HCl. C, general view of the thin SCE. D, detail of the SCE. E, Leidybatis jugosus, transverse section etched 5 s in 10% HCl. SCE forming thick pillars extending far into the dentine layer, with patches of dentine fully enclosed in the enameloid (arrows). F, G, Belemnobatis sp., transverse section etched 5 s in 10% HCl. F, enameloid on the lingual face of the crown. G, detail of the enameloid layer at the level of the transverse crest. H, I, J, Parapalaeobates cf. atlanticus, transverse section etched 5 s in 10% HCl. H, enameloid microstructure showing the RBE. I, detail of the randomly oriented crystallites forming the outer SCE. J, general view of the enameloid at the level of the crown ornamentation. K, L, Ptychotrygon sp., transverse section etched 5 s in 10% HCl. K, detail of the RBE. L, detail of the SCE.
Figs. 1–3. Eubulus parochus. 1 in Observations on the Natural History, Development, Range, and Future of Eubulusparochus(Herbst) (Coleoptera: Curculionidae)
Figs. 1–3. Eubulus parochus. 1) adult and grazed upon fungal hyphal pegs of Sirococcus clavigignenti-juglandacearum on a branch of butternut (Juglans cinerea); 2) adult with legs folded, ruler shows 1 mm markings; 3) adult feeding (arrow) on bark of butternut branch.
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.