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2,390 results for “rainforests”
Data from: Long-term monitoring of seed dispersal by Asian elephants in a Sundaland rainforest
<p><span><span><span><span><span><span><span><span><span><span><span>Asian elephants (<i>Elephas maximus</i>) have inhabited almost all forests in tropical Asia until recently, yet little is known about their role in ecological processes, particularly in the Sundaic forests of Southeast Asia. These forests are peculiar in their phenology, with supra-annual and highly irregular episodes of mast fruiting. Here we present a long-term (six-year) monitoring of the seeds dispersed by elephants in dipterocarp forests of northern Peninsular Malaysia. We conducted monthly dung surveys at two mineral licks (11.3 km apart) frequently visited by elephants. Additionally, we recorded haphazard observations of seeds and seedlings in elephant dung at other locations. We recorded a minimum of 48 morphospecies from at least 25 plant families dispersed by elephants. Elephant seed dispersal was very heterogenous in space, with only 30.3 % of the morphospecies dispersed at both sites (Jaccard dissimilarity index = 0.48). Temporally, elephants dispersed seeds in sporadic pulses of abundance and diversity, without any apparent seasonality (seeds appeared in 19.1 % of 1,284 dung piles and 57.1 % of the 63 months in which we found dung) and with long periods without any seed being dispersed. Nearly half (48 %) of the plants dispersed by elephants belong to a megafaunal dispersal syndrome. Our long-term approach allowed us to unravel an important aspect of Asian elephants' role and effectiveness in the seed dispersal cycle. Sundaland's forests are undergoing a rapid loss of their previously common megaherbivores (rhinos and elephants), with profound and long-term consequences for ecosystem functioning.</span></span></span></span></span></span></span></span></span></span></span></p>
Figure 8 in A new species of the genus Lasioseius (Acari: Blattisociidae) inhabiting litter of secondary rainforest in Sumatra, Indonesia
Figure 8 Lasioseius orangrimbaen. sp., adult male: Ventral idiosoma.
Figure 6 in A new species of the genus Lasioseius (Acari: Blattisociidae) inhabiting litter of secondary rainforest in Sumatra, Indonesia
Figure 6 Lasioseius orangrimbaen. sp., adult female: spermathecal apparatus.
Data from: Three decades of annual growth, mortality, physical condition, and microsite for ten tropical rainforest tree species
In lowland tropical rainforest, hundreds of tree species typically occur within mesoscale landscapes (50-500 ha). There is no consensus ecological theory that accounts for the coexistence of so many species with similar morphologies and the same fundamental requirements of light, nutrients, water, and physical space. In part this is due to the limited understanding of post-establishment ecology for the vast majority of tropical tree species. Of even more concern is the lack of understanding of how these trees are responding to on-going atmospheric and climatic changes. Here we present long-term data on the post-establishment ecology of ten species of tropical rainforest trees that span a broad life-history spectrum. The study site was upland (non-swamp) old-growth tropical wet forest at the La Selva Biological Station (N.E. Costa Rica). Focal individuals from established seedlings to mature trees were assessed annually, with an emphasis on accuracy and long-term consistency of the observations. The annual time-step, rare for longterm studies in tropical rainforest, captures the typically abrupt changes in forest structure and light environments, the frequent instances of major physical damage, and the trees' responses to these events and to interannual and long-term climatic variation. With the completion of the study in 2016, the data for survivorship, growth, and microsite conditions span 4499 individuals and 34 years. The first ten years of these data were published as an Ecology/Ecological Archives data paper in 2000 (Clark and Clark 2000), with two subsequent update publications (Clark and Clark 2006, 2012). This final update adds the final six years of observations, digitized field comments, and histories of points of measurement on the trees. The metadata now include the scanned original field data-sheets for the entire study and a narrative detailing the annual qa/qc of the data. The data set is unique for its scope (years of continuous annual measurements, number of monitored individuals), the in-depth documentation, and the unrestricted data access. The data have been used to study life history patterns, tree ecology through ontogeny, and effects on tree performance from interannual and long-term climatic and atmospheric change. They have also contributed to numerous remote-sensing studies.
Data from: Varyingly hungry caterpillars: predictive models and foliar chemistry suggest how to eat a rainforest
A long-term goal in evolutionary ecology is to explain the incredible diversity of insect herbivores and patterns of plant host use in speciose groups like tropical Lepidoptera. Here we used standardised food-web data, multigene phylogenies of both trophic levels and plant chemistry data to model interactions between Lepidoptera larvae (caterpillars) from two lineages (Geometridae and Pyraloidea) and plants in species-rich lowland rainforest in New Guinea. Model parameters were used to make and test blind predictions for two hectares of exhaustively sampled forest. For pyraloids we relied on phylogeny alone and predicted 54% of species level interactions, translating to 79% of all trophic links for individual insects, by sampling insects from only 15% of local woody plant diversity. The phylogenetic distribution of host plant associations in polyphagous geometrids was less conserved, reducing accuracy. In a truly quantitative food-web only 40% of pair-wise interactions were described correctly in geometrids. Polyphenol oxidative activity (but not protein precipitation capacity), was important for understanding the occurrence of geometrids (but not pyraloids) across their hosts. When both foliar chemistry and plant phylogeny were included, we predicted geometrid-plant occurrence with 89% concordance. Such models help to test macroevolutionary hypotheses at the community level.
Data from: The arboreal ants of a Neotropical rainforest show high species density and comprise one third of the ant fauna
<p>In tropical rainforests, the ant community can be divided into ground and arboreal faunas. Here we report a thorough sampling of the arboreal ant fauna of La Selva Biological Station, a Neotropical rainforest site. Forty-five canopy fogging samples were centered around large trees. Individual samples harbored an average of 35 ant species, with up to 55 species in a single sample. The fogging samples yielded 163 observed species total, out of a statistically estimated 199 species. We found no relationship between within-sample ant richness and focal tree species, nor were the ant faunas of nearby trees more similar to each other than the faunas of widely spaced trees. Species density was high and beta diversity was low: a single column of vegetation typically harbors at least a fifth of the entire arboreal ant fauna. Considering the entire fauna, based on 23,326 species occurrence records using a wide variety of collecting methods, 182 of 539 observed species (196 of 605, estimated statistically) were entirely arboreal. The arboreal ant fauna is thus about a third of the total La Selva ant fauna, a robust result because inventory completeness was similar for ground and arboreal ants. The taxonomic history of discovery of the species that make up the La Selva fauna reveals no disproportionately large pool of undiscovered ant species in the canopy. The "last biotic frontier" for tropical ants has been the rotten wood, leaf litter, and soil of the forest floor.</p>
Data from: Leaf drought tolerance cannot be inferred from classic leaf traits in a tropical rainforest
<ol> <li>Plants are enormously diverse in their traits and ecological adaptation, even within given ecosystems, such as tropical rainforests. Accounting for this diversity in vegetation models poses serious challenges. Global plant functional trait databases have highlighted general trait correlations across species that have considerably advanced this research program. However, it remains unclear whether trait correlations found globally hold within communities, and whether they extend to drought tolerance traits.</li> <li>For 134 individual plants spanning a range of sizes and life forms (tree, liana, understory species) within an Amazonian forest, we measured leaf drought tolerance (leaf water potential at turgor loss point, π<sub>tlp</sub>), together with 17 leaf traits related to various functions, including leaf economics traits and nutrient composition (leaf mass per area, LMA; and concentrations of C, N, P, K, Ca, and Mg per leaf mass and area), leaf area, water use efficiency (carbon isotope ratio), and time-integrated stomatal conductance and carbon assimilation rate per leaf mass and area. We tested trait coordination and the ability to estimate π<sub>tlp</sub> from the other traits through model selection. Performance and transferability of the best predictive model were assessed through cross-validation.</li> <li>π<sub>tlp</sub> was positively correlated with leaf area, and with N, P and K concentrations per leaf mass, but not with LMA or any other studied trait. Five axes were needed to account for >80% of trait variation, but only three of them explained more variance than expected at random. The best model explained only 30% of the variation in π<sub>tlp</sub>, and out-sample predictive performance was variable across life forms or canopy strata, suggesting a limited transferability of the model.</li> <li> <i>Synthesis</i>. We found a weak correlation among leaf drought tolerance and other leaf traits within a forest community. We conclude that higher trait dimensionality than assumed under the leaf economics spectrum may operate among leaves within plant communities, with important implications for species coexistence and responses to changing environmental conditions, and also for the representation of community diversity in vegetation models.</li> </ol>
Data from: Genomic divergence across ecological gradients in the Central African rainforest songbird (Andropadus virens)
The little greenbul, a common rainforest passerine from sub-Saharan Africa, has been the subject of long-term evolutionary studies to understand the mechanisms leading to rainforest speciation. Previous research found morphological and behavioural divergence across rainforest–savannah transition zones (ecotones), and a pattern of divergence with gene flow suggesting divergent natural selection has contributed to adaptive divergence and ecotones could be important areas for rainforests speciation. Recent advances in genomics and environmental modelling make it possible to examine patterns of genetic divergence in a more comprehensive fashion. To assess the extent to which natural selection may drive patterns of differentiation, here we investigate patterns of genomic differentiation among populations across environmental gradients and regions. We find compelling evidence that individuals form discrete genetic clusters corresponding to distinctive environmental characteristics and habitat types. Pairwise FST between populations in different habitats is significantly higher than within habitats, and this differentiation is greater than what is expected from geographic distance alone. Moreover, we identified 140 SNPs that showed extreme differentiation among populations through a genomewide selection scan. These outliers were significantly enriched in exonic and coding regions, suggesting their functional importance. Environmental association analysis of SNP variation indicates that several environmental variables, including temperature and elevation, play important roles in driving the pattern of genomic diversification. Results lend important new genomic evidence for environmental gradients being important in population differentiation.
Data from: Ecological and geographic dimensions of diversification in Piper subgenus Ottonia: a lineage of neotropical rainforest shrubs
The Neotropics are home to incomparable plant diversity. To evaluate the potential roles of geography and ecology on speciation in Neotropical plants we selected a small, tractable lineage of shrubby angiosperms, Piper subgenus Ottonia. We reconstructed a molecular phylogeny and provided insights into the species divergence times based on fossil calibration of the molecular clock. We support the monophyly of Piper subg. Ottonia and the two main lineages: Amazonian and Atlantic Forest, the latter containing the non-Atlantic species pair P. darienense‐P. piscatorum. We also propose the origin of Piper subg. Ottonia in the early Eocene and suggest that the diversification of Piper subg. Ottonia was influenced by geo-historical events such as the Paleocene-Eocene Thermal Maximum (PETM) and the uplift of the Andes in the Miocene, as is the case for other angiosperms. Furthermore, we combined our phylogeny with geographic and environmental data in order to evaluate geographical and ecological contexts for speciation. We indicate that neither climatic/edaphic divergence nor geographic isolation appears to be needed to explain speciation in this lineage.
Figure 1. from Euastacus morgani sp. n., a new spiny crayfish (Crustacea, Decapoda, Parastacidae) from the highland rainforests of eastern New South Wales, Australia - ZooKeys 85: 17-26 (11 March 2011) https://doi.org/10.3897/zookeys.85.1237
Figure 1. - Euastacus morgani sp. n. Female specimen, ACP 1103.
Hunting habits die hard: Conserved prey preferences in neotropical army ants across distant neotropical rainforests
<p><span>Supplemental dataset to article. </span></p> <p><span>A</span><span>rticle abstract: Army ants are widely recognized as keystone species in neotropical rainforests due to their role as important arthropod predators. Their large-scale raids involve countless workers scouring the forest floor in pursuit of prey, primarily capturing other invertebrates. However, our understanding of the precise dietary preferences and the degree of niche differentiation among sympatric species remains limited. In this study, we resolved an Ecuadorian army ant predation network consisting of 244 prey species and 13 army ant species of the genera <em>Cheliomyrmex</em>, <em>Eciton</em>, <em>Labidus</em>, <em>Neivamyrmex</em>, and <em>Nomamyrmex</em>. We collected 2,156 prey items from 180 army ant raids/emigrations, and of these, we identified 1,945 prey items to family level, 1,313 to genus level and 664 to species level based on morphological identifications and DNA barcodes. Prey consisted primarily of other ants (1,843 prey items; 153 ant species), to the largest part ant brood (N = 1,726). Hence, most army ant species chiefly plundered the nests of other ants, while the three swarm-raiding species, i.e. <em>L. praedator, L. spininodes, </em>and<em> E. burchellii</em>, exhibited a relatively high proportion of non-ant invertebrate prey in their diet. The predation network showed a high degree of specialization (</span><span>H<sub>2</sub>ˈ</span><span> = 0.65)</span><span>, characterized by little dietary niche overlap among sympatric species. We compared the Ecuadorian network with one previously studied in Costa Rica and found that, despite the large geographic distance, prey preferences remained remarkably similar. We discovered species-specific preferences for captured ant genera and species, despite some species turnover in both army ants and prey. Additionally, army ants also exhibited consistent spatio-temporal raiding preferences across study sites. In conclusion, predation preferences within army ant communities exhibited consistency in multiple niche dimensions across two distant geographic regions, suggesting a notable level of predictability within army ant predation networks.</span></p>
Data for "A potential collapse of the Atlantic Meridional Overturning Circulation may stabilise eastern Amazonian rainforests"
<p>Data for the publication "A potential collapse of the Atlantic Meridional Overturning Circulation may stabilise eastern Amazonian rainforests" by Nian et al. DOI: 10.1038/s43247-023-01123-7</p>
Local and regional diversity of frog communities along an extensive rainforest elevation gradient in Papua New Guinea
<p>Rainforests on high tropical mountains are globally important species diversity hotspots. We studied amphibians along an extensive rainforest elevation gradient on Mt. Wilhelm (4,509 m) in Papua New Guinea. We established eight sites at 500 m elevation increments between 200 and 3,700 m a.s.l. and related their community composition to the known species pool of New Guinea island. We recorded 3,390 frogs from 55 species, which is three times more species than at any local community along the elevation gradient. Species diversity peaked at 1,700 m a.s.l. for Mt. Wilhelm communities, and at 500–1,100 m a.s.l. in the broader New Guinea fauna, probably reflecting increasing speciation and decreasing dispersal rates with increasing elevation. The beta diversity between frog communities was high and increased with increasing elevation. The change in frog community composition across 500 m elevation corresponded to the change over 200 km distance within lowland forests. A majority of frog species were distributed over narrow <500 m elevational ranges, at Mt Wilhelm and the New Guinea fauna more broadly. We did not detect Rapoport's pattern of wider elevation range for species at higher elevations than for lowland species, for Mt. Wilhelm communities or the New Guinea fauna. The high beta diversity patterns along elevation gradients generated by rapid species turnover with narrow elevation ranges make frog communities vulnerable to change in the environment, including climate change.</p>
CO and CO2 mixing ratios and flux measurements from the Amazon tropical rainforest
<p>CO and CO2 mixing ratio and flux measurements from the Amazon tropical rainforest</p><p>This dataset belongs to the manuscript 'The emission of CO from tropical rain forest soils', submitted to the journal Biogeosciences in December 2023.</p><p>More details on this dataset can be found in this manuscript:</p><p>https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2746/egusphere-2023-2746.pdf</p><p> For questions, please reach out to Hella van Asperen: hasperen@bgc.mpg-jena.de</p><p>########################################</p><p>Plateau tower CO and CO2 mixing ratio measurements</p><p>Plateau tower CO and CO2 mixing ratio measurements took place in a dry season campaign (28 Sep- 7 Oct 2020) and a wet season campaign (11-18 May 2021) at the K34 tower at field site ZF2 in the Amazon rain forest (-2.60898, -60.209106). Due to a problem in the beginning of the dry season campaign, the measurements at the tower were continued until outside the campaign period, until 18 October 2020. Measurements were performed by a Spectronus FTIR analyzer. Concentrations were measured at 3 heights (5,15 and 36m) every half hour. Canopy height is ~28m.</p><p>########################################</p><p>Valley CO and CO2 mixing ratio measurements</p><p>Valley CO and CO2 mixing ratio measurements took place in a dry season campaign (28 Sep- 7 Oct 2020) and a wet season campaign (11-18 May 2021) at a valley close to the K34 tower at field site ZF2 (-2.600026, -60.217079). Since no electricity was available, automatic battery-driven bag sampling was performed during the night at 3h time intervals, with 4 measurements per night from a 1m height inlet (~18:00, ~21:00, ~0:00, ~3:00). Bag samples were measured the following morning by a Spectronus FTIR-analyzer. </p><p>########################################</p><p>Plateau and valley chamber CO and CO2 fluxes</p><p>Flux chamber measurements were performed over soil and litter together on the plateau and in the valley at field site ZF2, in a dry season campaign (28 Sep- 7 Oct 2020) and a wet season campaign (11-18 May 2021). Five soil collars were installed in the valley, and five on the plateau. Each collar was measured 3 times during each campaign week (on different days). Measurements from the same collar are indicated as (for example) V1A, V1B, V1C. After each flux chamber measurement, soil moisture and soil temperature was measured.</p>
Centennial deforestation impacts on soil phosphorus cycling in the Amazon rainforest
<p>Deforestation of tropical rainforests is a major land use change that alters terrestrial biogeochemical cycling at local to global scales. Deforestation and subsequent reforestation are likely to impact soil phosphorus (P) cycling, which in P-limited ecosystems such as in the Amazon basin has implications for long-term land use change and productivity. We used a 100-year observational chronosequence of primary forest conversion to pasture, as well as a 13-year-old secondary forest, to test land use change and duration effects on soil P dynamics in the Amazon basin. By combining sequential extraction and P K-edge X-ray absorption near edge structure (XANES) spectroscopy with soil phosphatase assays, we assessed pools and process rates of P cycling in surface soils. Deforestation caused increases in total P (135-398 mg kg<sup>-1</sup>), total organic P (Po) (19-168 mg kg<sup>-1</sup>), and total inorganic P (Pi) (30-113 mg kg<sup>-1</sup>) fractions in surface soils with pasture age, with concomitant increases in Pi fractions corroborated by sequential fractionation and XANES spectroscopy. Soil non-labile Po (10-148 mg kg<sup>-1</sup>) increased disproportionately compared to labile Po (from 4-5 to 7-13 mg kg<sup>-1</sup>). Soil phosphomonoesterase and phosphodiesterase binding affinity (Km) decreased while the specificity constant (Ka) increased by 83-159% in 39–100y pastures. Soil P pools and process rates reverted to magnitudes similar to primary forests within 13 years of pasture abandonment, though the relatively short but representative pre-abandonment pasture duration of our secondary forest may not enable significant deforestation effects on soil P cycling, highlighting the need to consider both pasture duration and reforestation age in evaluations of Amazon land use legacies. Although the space-for-time substitution design can entail variation in the initial soil P pools due to atmospheric P deposition, soil properties, and/or primary forest growth, the trend of P pools and process rates with pasture age still provides valuable insights.</p>
Woody debris removal modifies carbon stocks and soil properties in a fragmented tropical rainforest
<p>We examined whether and how woody debris removal for domestic fuel affects carbon storage and soil properties in an Indian rainforest. Fuelwood removal reduced aboveground carbon stocks, increased soil bulk density, and possibly reduced soil phosphorus stocks. Equitably balancing this subtle trade-off between climate-regulating and vital, widely-utilized provisioning functions, is a challenge for tropical forest research and management.</p>
Predictive mapping of tree species assemblages in an African montane rainforest
<p>Conservation of mountain ecosystems can benefit from knowledge of habitats and their distribution patterns. This benefit is particularly true for diverse ecosystems with high conservation values such as the "Afromontane" rainforests. We mapped the vegetation of one such forest: the rugged Bwindi Impenetrable Forest, Uganda—a World Heritage Site known for its many restricted-range plants and animal taxa including several iconic species. Given variation in elevation, terrain and human impacts across Bwindi, we hypothesised that these factors influence the composition and distribution of tree species. To test this, detailed surveys were carried out using stratified random sampling. We established 289 georeferenced sample sites (each with 15 trees ≥20 cm dbh) ranging from 1,320 to 2,467 m a.s.l. and measured 4,335 trees comprising 89 species that occurred in four or more sample sites. These data were analysed against twenty-one digitally mapped biophysical variables using various analytical techniques including non-metric multidimensional scaling (NMDS) and random forests. We identified six tree species assemblages with distinct compositions. Among the biophysical variables, elevation had the strongest correlation with the ordination (r<sup>2</sup>=0.5; <em>p</em><0.001). The "out-of-bag" (OOB) estimate of the error rate for the best final model was 50.7% meaning that nearly half of the variation was accounted for using a limited set of variables. We demonstrate that it is possible to predict the spatial pattern of such a forest based on sampling across a highly complex landscape. Such methods offer accurate mapping of composition that can guide conservation.</p>
Data from: Preference for mammalian urine is higher in the canopy than on the ground in a tropical rainforest ant community in Yunnan, China
<p>Ants are among the most abundant groups of arthropods, and approximately half of all ant species are associated with forest canopies. The forest canopy environment is distinct from the understory and forest floor, and vertical stratification in environmental conditions shapes species assembly and organismal traits and behaviors across taxa in forest communities. Canopy ants are faced with a more nitrogen-limited environment compared with ground ants because of their reliance on nitrogen-poor plant and insect exudates. Despite prior work suggesting that some ant species consume mammalian urine and use symbiotic bacteria to extract nitrogen, we have little knowledge about the consumption of urine in canopy ants or the relative preference for urine between ground and canopy ants. We conducted an observational field experiment in a lowland tropical rainforest in southern China to test for vertical stratification in ant preference for sugar and urine, setting ground and canopy baited pitfall traps with the use of a canopy crane. We found distinct vertical stratification in the use of urine, with higher richness and abundance in sugar baits on the ground, and a higher abundance in urine baits in the canopy. Furthermore, the composition of captured ants differentiated according to both vertical stratum and bait type. This distinct vertical stratification of niche preference may represent an important case of niche partitioning that contributes to high ant species diversity in tropical rainforests as well as high species turnover between ground and canopy strata. The preference of canopy ants for mammalian urine also highlights the importance of interspecific interactions across highly unrelated animal taxa and emphasizes the need for a holistic understanding of biological networks to effectively conserve threatened tropical forest communities.</p>
Data from: strawberry guava invasion of a Hawaiian rainforest: changing population pattern
<p>Strawberry guava (waiawī, <em>Psidium cattleyanum</em> O. Deg., Myrtaceae) is a small tree invasive on oceanic islands where it may alter forest ecosystem processes and community structure. To better understand the dynamics of its invasion in Hawaiian rainforests in anticipation of the release of a biocontrol agent, we measured growth and abundance of vertical stems >= 0.5 cm DBH for 16 years (2005-2020) in an intact <em>Metrosideros-Cibotium</em> rainforest on windward Hawai'i Island. Specifically, we compared the growth and abundance of both shoots (originating from seed or from the root mat) and sprouts (originating above ground from established stems) in four replicate study sites. Mean stem density increased from 9562 stems/ha in 2005 to 26,595 stems/ha in 2020, the majority of which were stems < 2 cm DBH. Mean annual rates of population growth (lambda) varied between 1.03 and 1.17. Early in the invasion, both density and per capita recruitment of shoots was greater than that of sprouts, but as overall stem density increased over time, sprout abundance and recruitment came to surpass that of shoots. Relative growth rates among small stems < 2 cm DBH declined over time for both shoots and sprouts, but relative growth rates of sprouts were consistently greater than that of shoots after the first 3 years. The capacity of strawberry guava to recruit from both rooted shoots and vegetative sprouts contributes to the facility with which it can invade intact rainforest, persist in the forest understory, and respond to canopy opening. Strawberry guava thus poses a considerable risk of stand replacement for Hawaiian rainforests. Stand management will require perpetual efforts of guava control at high priority sites as extreme weather events associated with climate change bring canopy-opening events due to storms, drought and pathogens.</p>
Table 2 Cycle threshold obtained for the 6 in Investigation on possible transmission of monkeys' Plasmodium to human in a populations living in the equatorial rainforest of the Democratic republic of Congo
<p><b>Table 2</b> Cycle threshold obtained for the 6 plasmodium species.</p><table><tbody><tr><th></th><th>P. falciparum</th><th>P. malaria</th><th>P. ovale</th><th>P. vivax</th><th>P. vinckei</th><th><i>P. berghei</i></th></tr></tbody><tbody><tr><th>1st RT-PCR</th><td>16.98</td><td>26.01</td><td>26.08</td><td>30.15</td><td>15.18</td><td>20.33</td></tr><tr><th>2nd RT-PCR</th><td>18.07</td><td>26.69</td><td>26.66</td><td>30.48</td><td>No signal</td><td>No signal</td></tr></tbody></table>
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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.
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.