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349 results for “Global distribution”
Early Eocene Global Vegetation Modern Plant Distribution Dataset
<p>Early Eocene Global Vegetation Modern Plant Distribution Dataset </p> <p>Global occurances for early Eocene fossil plant Nearest Living Relatives (NLRs) from the Global Biodiversity Information Facility (GBIF: https://www.gbif.org/), used for palaeocliate reconstruction.</p>
F I G U R E 6 in Current and future potential geographical distribution of Bactericera cockerelli: an invasive pest of increasing global importance
F I G U R E 6 Predicted future climatic suitability for tomato potato psyllid (TPP; Bactericera cockerelli) in (a) its native range in North America, and (b) its invasive regions in Australia under a future climate change scenario predicted to the year 2090 in CLIMEX using the general circular model (GCM) CSIRO Mark 3.0, run with the A1B emissions scenario the known global distributions denoted by green colour dots.
F I G U R E 5 in Current and future potential geographical distribution of Bactericera cockerelli: an invasive pest of increasing global importance
F I G U R E 5 Predicted global climatic suitability for tomato potato psyllid (TPP; Bactericera cockerelli) under a future climate change scenario predicted to the year 2090 in CLIMEX using the general circular model (GCM) CSIRO Mark 3.0, run with the A1B emissions scenario.
F I G U R E 2 in Current and future potential geographical distribution of Bactericera cockerelli: an invasive pest of increasing global importance
F I G U R E 2 Predicted global climatic suitability for tomato potato psyllid (TPP; Bactericera cockerelli) under current climatic conditions in its native region in North America. The known global distributions are denoted by green colour dots.
F I G U R E 4 in Current and future potential geographical distribution of Bactericera cockerelli: an invasive pest of increasing global importance
F I G U R E 4 Predicted climatic suitability for tomato potato psyllid (TPP; Bactericera cockerelli) under current climatic conditions in New Zealand under current climatic conditions. The known global distributions are denoted by green colour dots.
F I G U R E 1 in Current and future potential geographical distribution of Bactericera cockerelli: an invasive pest of increasing global importance
F I G U R E 1 Predicted global climatic suitability (ecoclimatic index) for tomato potato psyllid (TPP; Bactericera cockerelli under current climatic conditions using the adjusted parameters given in Table 1 under (a) natural rainfall and (b) as composite of natural rainfall and irrigation based on areas identified by Siebert et al. (2013). The known global distributions are denoted by green colour dots.
F I G U R E 3 in Current and future potential geographical distribution of Bactericera cockerelli: an invasive pest of increasing global importance
F I G U R E 3 Predicted climatic suitability for tomato potato psyllid (TPP; Bactericera cockerelli) under current climatic conditions in Australia current climatic conditions. The known global distributions are denoted by green colour dots.
F I G U R E 7 in Current and future potential geographical distribution of Bactericera cockerelli: an invasive pest of increasing global importance
F I G U R E 7 Predicted future climatic suitability for tomato potato psyllid (TPP; Bactericera cockerelli) in New Zealand under a future climate change scenario predicted to the year 2090 in CLIMEX using the general circular model (GCM) CSIRO Mark 3.0, run with the A1B emissions scenario. The known global distributions denoted by green colour dots.
Spatiotemporal distribution of global peatland area during the Holocene
<p>The global peatland area dataset comprises netCDF files, which consist of 13 sets of maps showing the global extent of peatlands at a spatial resolution of 0.5° × 0.5°. All maps are provided at 1,000-year time intervals between 12 and 0 ka BP. The peatland area files named “Global_peatland_area_BA_*” were reconstructed using the BA method, and the files named “Global_peatland_area_IDW_*” were reconstructed using the IDW method. The global peatland records included data on location, latitude, longitude, peat type, basal ages, and end ages. The global pollen of <em>Sphagnum</em> records included latitude, longitude,<em> Sphagnum</em> content, and peat basal and end ages.</p>
Data and Scripts for Schweiger et al. (2021) "Chemical properties of key metabolites determine the global distribution of lichens"
<p>Data and Scripts for Schweiger et al. (2021) "Chemical properties of key metabolites determine the global distribution of lichens".</p> <p>A detailed description of the individual files is provided in the "Schweiger-et-al-DataPublication-Index-Submissionfiles.txt" file.</p> <p>Summary of the study:</p> <p>In lichen symbioses, fungal secondary metabolites provide UV protection on which certain lichen algae such as trebouxioid green algae sensitively depend. These metabolites differ in their UV absorbance capability and solvability, and thus vary in their propensity of being leached from the lichen body by high precipitation and temperatures, with still unknown implications for the global distribution of lichens. In this global study, we show that the occurrence and chemical properties of fungal-derived metabolites are of eco-evolutionary significance for the global, latitudinal distribution of lichenized Trebouxiophyceae. This might represent an indirect environmental adaptation in which the mycobiont invests to protect the trebouxioid photobiont from harsh environmental conditions and, by doing this, secures its efficient source of photosynthetic carbon.</p>
Fig. 1. The potential distribution map for B in Long-Term Bioclimatic Modelling The Distribution Of The Fire-Bellied Toad, Bombina Bombina (Anura, Bombinatoridae), Under The Influence Of Global Climate Change
Fig. 1. The potential distribution map for B. bombina under contemporary climatic conditions. The colour gradient represents high (red) to low (green) habitat suitability for the species.
Fig. 4. The potential distribution map for B. bombina under projected 2050 in Long-Term Bioclimatic Modelling The Distribution Of The Fire-Bellied Toad, Bombina Bombina (Anura, Bombinatoridae), Under The Influence Of Global Climate Change
Fig. 4. The potential distribution map for B. bombina under projected 2050 climatic conditions. The colour gradient represents high (red) to low (green) habitat suitability for the species.
Fig 3 in Long-Term Bioclimatic Modelling The Distribution Of The Fire-Bellied Toad, Bombina Bombina (Anura, Bombinatoridae), Under The Influence Of Global Climate Change
Fig 3. Response curve showing how the logistic prediction changes as the environmental variable Bio2 (Mean diurnal temperature range, oC, X-axis) is varied, keeping all other environmental variables at their average sample value. The curve shows the mean response of the 10 replicate Maxent runs (red) and and the mean +/– one standard deviation (blue).
Influence of Titan's Variable Electromagnetic Environment on the Global Distribution of Energetic Neutral Atoms
<p>Data for the manuscript "Influence of Titan's Variable Electromagnetic Environment on the Global Distribution of Energetic Neutral Atoms" by Tippens et al., (2022). See README.txt for a description of the data files included here.</p>
The global distribution of known and undiscovered ant biodiversity
<p><span>Invertebrates constitute the majority of animal species and are critical for ecosystem functioning and services</span><span>. Nonetheless, global invertebrate biodiversity patterns and their congruences with vertebrates remain largely unknown</span><span>. We resolve the first high-resolution (~20-km) global diversity map for a major invertebrate clade, ants, using biodiversity informatics, range modeling, and machine learning to synthesize existing knowledge and predict the distribution of undiscovered diversity. We find that ants and different vertebrate groups have distinct features in their patterns of richness and rarity, underscoring the need to consider a diversity of taxa in conservation. However, despite their phylogenetic and physiological divergence, ant distributions are not highly anomalous relative to variation among vertebrate clades.</span> <span>Furthermore, our models predict rarity centers largely overlap (78%), suggesting that general forces shape endemism patterns across taxa</span><span>. This raises confidence that conservation of areas important for small-ranged vertebrates will benefit invertebrates while</span><span> providing a "treasure map" to guide future discovery</span><span>.</span></p>
Fig. 7 in The global distribution of known and undiscovered ant biodiversity
Fig. 7. Globalprotection status of richness andrarity centers. Richness andrarity centers (top 10% of area) are overlaid with protected areas usingdata retrieved from the World Database of Protected Areas (protectedplanet.net) and processed. Biodiversity centers for ants based on current sampling (top row), predicted ant centers under universal high sampling (second row), and vertebrate centers (bottom row) are presented.
Fig. 6 in The global distribution of known and undiscovered ant biodiversity
Fig. 6. Empirical andpredicted raritycenters of Eastern Asiaand Oceania. Raritycentersbased on currentknowledge andprojectedby a Random Forestmodelunder a "universal high sampling" scenario. See Fig. 3 for more explanation.
Fig. 3 in The global distribution of known and undiscovered ant biodiversity
Fig. 3. Machine learningpredictshowincreased samplingcouldchangeour understandingof antrichness andrarity centers. Random Forestmodelswere trained topredict ant speciesrichness andrarity values asafunction of climate (7 vars.),topography,biogeographic realm, vertebratebiodiversity, andsampling density. Wethen used the models to predict (A) richness and rarity values under a "universal high sampling" scenario, revealing which areas may drop out of the top 10% with increased global sampling (red), which are robust to sampling (purple), and which centers are predicted to enter the top 10% with increased sampling (blue). The latter represents a treasure map indicating areas that should be prioritized for future sampling. The top 10% areas for vertebrates are indicated by hatched regions. (B) Overlap fractions for empirical and projected center designations for richness and rarity, and Spearman's correlations continuous richness and rarity values.
Fig. 2 in The global distribution of known and undiscovered ant biodiversity
Fig. 2. Global patterns of ant rarity and comparison with terrestrial vertebrates. (A) The concordance of different rarity (i.e., rarity-weighted richness, a metric indicating a concentration of small-ranged species) centers (top 10% of area) for amphibians, birds, mammals, reptiles, and ants. (B) Continuous rarity maps for ants and vertebrates. (C) Spearman's correlation matrix for grid cell–level rarity across taxa.
Fig. 4 in The global distribution of known and undiscovered ant biodiversity
Fig. 4. Empirical and predicted raritycenters of the Western Hemisphere. Rarity centersbased on currentknowledge and projectedbya Random Forestmodelunder a "universal high sampling" scenario. See Fig. 3 for more explanation.
ScienceDex guides
Understand access before you commit
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.