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Fig. 2 in More than meets no eyes: Taxonomic status of a Liotyphlops Peters, 1881 (Serpentes: Anomalepididae) blindsnake from the Atlantic Rainforest
Fig. 2. Principal Component Analysis (PCA) for females (left) and males (right) of the six OTUs analyzed in this work.
Fig. 1 in More than meets no eyes: Taxonomic status of a Liotyphlops Peters, 1881 (Serpentes: Anomalepididae) blindsnake from the Atlantic Rainforest
Fig. 1. Operational Taxonomic Units (OTUs) and Ecological Niche Models delimited based on Liotyphlops from the Atlantic Rainforest biome in South America. A) SP01, based on topotypical specimens and an additional series of Liotyphlops beui from the Atlantic Forest of southeastern Brazil; B) SP02, based on specimens of Liotyphlops caissara from lowland Atlantic Rainforest of coastal southeastern Brazil; C) SP03, based on the holotype of Liotyphlops sousai from the Atlantic Forest of southern Brazil; D) SP04, based on the holotype and an additional specimen of Liotyphlops ternetzii from the Cerrado of Brazil and Paraguay; E) SP05, based on the holotype of Liotyphlops trefauti from the Atlantic Rainforest of northeastern Brazil; F) SP06, based on a specimen of Liotyphlops wilderi from montane Atlantic Rainforest of southeastern Brazil.
Fig. 12 in More than meets no eyes: Taxonomic status of a Liotyphlops Peters, 1881 (Serpentes: Anomalepididae) blindsnake from the Atlantic Rainforest
Fig. 12. Lateral (A), medial (B), dorsal (C), and ventral (D) views of the lower jaw of Liotyphlops beui (MCZ 17842, paratype) based on μCT imagery. Different skull elements are digitally colored to improve visualization. Abbreviations: CB = compound bone; CO = coronoid; D = dentary; RP = retroarticular process of compound bone; SP = splenial. Scale bar = 1 mm.
FIGURE 3 in New genus of Steirodontini Brunner von Wattenwyl, 1878 (Orthoptera: Tettigoniidae: Phaneropterinae) from the Brazilian Amazon Rainforest
FIGURE 3. Coronophyllum catarinae sp. nov., right tegmina of male in dorsal view. Abbreviations: AP: Posterior anal vein; AA: anterior anal vein; CuA: anterior cubital vein; CuP: posterior cubital vein; MA: anterior median vein; MP: posterior median vein; R: radial vein.
FIGURE 1 in New genus of Steirodontini Brunner von Wattenwyl, 1878 (Orthoptera: Tettigoniidae: Phaneropterinae) from the Brazilian Amazon Rainforest
FIGURE 1. Morphology scheme of Phaneropterinae: A. head and pronotum, dorsal view; B. mesobasisternum and metabasisternum, ventral view.
FIGURE 2 in New genus of Steirodontini Brunner von Wattenwyl, 1878 (Orthoptera: Tettigoniidae: Phaneropterinae) from the Brazilian Amazon Rainforest
FIGURE 2. Coronophyllum catarinae sp. nov., holotype male. A: habitus, dorsal view; B: head, frontal view; C: head and pronotum, dorsal view; D: head and pronotum, lateral view; E: Midleg, lateral view; F: foreleg, lateral view; G: Thoracic sternites, ventral view; H–K: Terminalia in ventral, dorsal and lateral view respectively. Abbreviations: Mes: mesobasisternum; Met: metabasisternum; Cer: cerci; Sty: styli; Pl: subgenital plate.
Supplementary material 3 from: Bernich A, French K, Bedward M (2024) Assessing the invasion potential of five common exotic vine species in temperate Australian rainforests. NeoBiota 90: 79-96. https://doi.org/10.3897/neobiota.90.110659
The dry weight of the individuals used as the initial values to calculate relative growth rates for each species
Supplementary material 2 from: Bernich A, French K, Bedward M (2024) Assessing the invasion potential of five common exotic vine species in temperate Australian rainforests. NeoBiota 90: 79-96. https://doi.org/10.3897/neobiota.90.110659
Difference in mean and 95% bounds, as well as the percentage overlap of mean values reported as a probabilty (Probability higher than LL) for the seven species grown in the study
Supplementary material 1 from: Bernich A, French K, Bedward M (2024) Assessing the invasion potential of five common exotic vine species in temperate Australian rainforests. NeoBiota 90: 79-96. https://doi.org/10.3897/neobiota.90.110659
Difference in mean and 95% bounds, as well as the percentage overlap of mean values reported as a probabilty (Probability higher) between species for the physiological measurements taken
Historical tree phenology data reveal the seasonal rhythms of the Congo Basin rainforest
<p>Tropical forest phenology directly affects regional carbon cycles, but the relation between species-specific and whole-canopy phenology remains largely uncharacterized. We present a unique dataset of historical tropical tree phenology collected in the central Congo Basin, before large-scale impacts of human-induced climate change.</p> <p>Historical data was recovered from a phenological study carried out between 1937 and 1956 in the central Congo Basin at the Yangambi Research Station (N00°48’, E24°29’) in what is now the Democratic Republic of Congo (DRC). The data were retrieved from the archives of the INERA (Institut National pour l'Etude et la Recherche Agronomique) herbarium at the Yangambi Research Station.</p> <p>Ground-based phenological observations of local tropical trees were made four times each month on a rotating schedule (resolution of 7.2 days on average) from 1937 until 1956 by the forestry division of the INEAC (Institut National pour l'Étude Agronomique du Congo). The sampling protocol was recovered at the State Archives of Belgium, including details on the observation methods, the observational routes and the training and schedules of the observers. Canopy leaf senescence was defined as a distinct period during which leaves fall and trees remain bare, while canopy turnover was defined as a period during which leaf-fall comes in peaks with concomitant flushes of new leaves (INEAC archives). Summarised data sheets of these long-term observations were digitized using 12 MP resolution cameras. The hand-written notes and annotations depicting phenophases during the observational period were digitized to binary data (yes or no phenophase event at each time-step) through an online citizen science project ‘Jungle Rhythms’ (Hufkens & Kearsley 2023, https://www.zooniverse.org/projects/khufkens/jungle-rhythms). </p> <p>A selection of species found in the historical forest inventories (Pierlot 1966) are presented, representing 96.0% of the basal area within these inventories. The phenological data comprises 668 individuals covering 140 species (representing 112 genus and 38 families) for a total of 5011 individual observation years (overview of species in Supplementary Table S1). We did not include individuals that were only identified to genus-level.</p> <p>This data accompanies the publication ‘Kearsley, E., Verbeeck, H., Stoffelen, P., Janssens, S. B., Yakusu, E. K., Kosmala, M., De Mil, T., Bauters, M., Kitima, E. R., Ndiapo, J. M., Chuda, A. L., Richardson, A. D., Wingate, L., Ilondea, B. A., Beeckman, H., van den Bulcke, J., Boeckx, P., & Hufkens, K. (2024). Historical tree phenology data reveal the seasonal rhythms of the Congo Basin rainforest. Plant-Environment Interactions, 5, e10136. https://doi.org/10.1002/pei3.10136’.</p> <p>Reference<br>Pierlot, R. (1966). Structure et composition de forêts denses d’Afrique Centrale, spécialement celles du Kivu. Academie Royale des Sciences d’Outre-Mer. Classe des Sciences naturelles et medicales. N.S. XVI-4, Bruxelles, p. 367.</p>
Data from: Environmental heterogeneity influences liana community differentiation across a Neotropical rainforest landscape
<p>We examined the variation in the liana community composition and structure across geopedological land units to test the hypothesis that environmental heterogeneity is a driving force in the liana community assembly. At the Los Tuxtlas Tropical Biology Station, SE Mexico (640 ha of tropical rain forest), we sampled all lianas with basal diameter ≥ 1 cm in three 0.5-ha plots established in each of five land units (totaling 15 plots and 7.5 ha). We censused 6055 individuals and 110 species. Overall, the most speciose families were also the most abundant ones. The density and basal area (m<sup>2</sup>) of some dominant liana species differed among land units, and a permutational multivariate analysis of variance (PERMANOVA) and a non-metric multidimensional scaling ordination (NMDS) revealed differences in the presence, density, and basal area of liana species across the landscape. Liana composition and structure were highly heterogeneous among land units, suggesting that variations in soil water availability and relief are key drivers of liana community spatial differentiation. By showing that soil and topography play an important role at the landscape scale, we underscore the ecological relevance of environmental heterogeneity for liana community assembly. In the future, as our ability to assess the local environmental complexity increases, we will gain a better understanding of the liana community assembly process and its heterogeneous distribution in tropical forests.</p>
Figs. 41– 46. Reserva Ducke dung beetles. 41 in The Dung- and Carrion-Feeding Scarabs (Coleoptera: Scarabaeoidea) of an Amazonian Blackwater Rainforest: Results of a Continuous, 56-Week, Baited-PitfallTrap Study
Figs. 41– 46. Reserva Ducke dung beetles. 41) Deltochilum carinatum. Photograph by Jim McClarin; 42) Deltochilum septemstriatum. Photograph by Denis Faure; 43) Deltochilum pseudoicarus. Photograph by Trond Larsen; 44) Ateuchus sp. Photograph by Jim McClarin; 45) Canthidium bicolor with phoretic mite. Photograph by Trond Larsen; 46) Canthidium gerstaeckeri. Photograph by Trond Larsen. All images used by permission.
Figs. 35–40. Reserva Ducke dung beetles. 35 in The Dung- and Carrion-Feeding Scarabs (Coleoptera: Scarabaeoidea) of an Amazonian Blackwater Rainforest: Results of a Continuous, 56-Week, Baited-PitfallTrap Study
Figs. 35–40. Reserva Ducke dung beetles. 35) Onthophagus bidentatus. Photograph by Denis Faure; 36) Onthophagus rubrescens. Photograph by Trond Larsen; 37) Eurysternus caribaeus. Photograph by Trond Larsen; 38) Canthon quadriguttatus rolling a small piece of howler dung spattered on a leaf about 1 m above the ground. Photograph by Trond Larsen; 39) Canthon triangularis. Photograph by Trond Larsen; 40) Cryptocanthon peckorum. Photograph by Trond Larsen. All images used by permission.
Figs. 32–34. Trap efficiency. 32 in The Dung- and Carrion-Feeding Scarabs (Coleoptera: Scarabaeoidea) of an Amazonian Blackwater Rainforest: Results of a Continuous, 56-Week, Baited-PitfallTrap Study
Figs. 32–34. Trap efficiency. 32) Quantity. Light-colored bars represent realized number of scarabaeoids taken in each trap expressed as a mean percentage for the bait type and preservative compared to the expected catch (= the mean percentage of all traps with that bait type and preservative (100%)). Dark-colored bars represent realized number of scarabaeoids taken in each trap expressed as a mean percentage for bait type only compared to the expected catch (the mean percentage of all traps with that bait type (100%)) if all variables between traps were equal. Nearly all of the traps performed well with the exceptions of traps 3 and 15 (dung) and 19 and 20 (carrion); 33) Species richness. Light-colored bars represent realized number of scarabaeoid species taken in each trap expressed as a mean percentage for the bait type and preservative compared to the expected catch. Dark-colored bars represent realized number of species taken in each trap expressed as a mean percentage for bait type only compared to the expected catch if all variables between traps were equal. Nearly all of the traps performed equally well; 34) Richness of only the "common" scarabaeoid species. Light-colored bars represent realized number of "common species" (those in excess of 0.005% of the total number of individuals) taken in each trap expressed as a mean percentage for the bait type and preservative compared to the expected catch. Dark-colored bars represent realized number of "common species" taken in each trap expressed as a mean percentage for only the bait type compared to the expected catch if all variables between traps were equal. Nearly all of the traps performed equally well in capturing the "common species".
Figs. 47–52. Reserva Ducke dung beetles. 47 in The Dung- and Carrion-Feeding Scarabs (Coleoptera: Scarabaeoidea) of an Amazonian Blackwater Rainforest: Results of a Continuous, 56-Week, Baited-PitfallTrap Study
Figs. 47–52. Reserva Ducke dung beetles. 47) Dichotomius boreus. Photograph by Trond Larsen; 48) Dichotomius mamillatus. Photograph by Trond Larsen; 49) Uroxys pygmaeus. Photograph by Trond Larsen; 50) Coprophanaeus lancifer. Photograph by Trond Larsen; 51) Oxysternon conspicillatum. Photograph by Doug Emlen and Mark Rowland; 52) Phanaeus chalcomelas. Photograph by Trond Larsen. All images used by permission.
Figs. 30–31 in The Dung- and Carrion-Feeding Scarabs (Coleoptera: Scarabaeoidea) of an Amazonian Blackwater Rainforest: Results of a Continuous, 56-Week, Baited-PitfallTrap Study
Figs. 30–31. Increase by week in number of scarabaeoid species collected in 30) dung- and 31) carrion-baited pitfall traps with chloral hydrate (red line) or picric acid (blue line) solutions.
Figs. 28–29 in The Dung- and Carrion-Feeding Scarabs (Coleoptera: Scarabaeoidea) of an Amazonian Blackwater Rainforest: Results of a Continuous, 56-Week, Baited-PitfallTrap Study
Figs. 28–29. Species accumulation curves for scarabaeoids in dung- (blue line) and carrion-baited (red line) pitfall traps at Reserva Ducke from September 1977 to October 1978. 28) Increase by week in number of species collected. The last new species to enter a dung trap was in week 48, and the last new species to enter a carrion trap was week 53; 29) Percentage increase by week in number of species collected. At week 16 (27 December), less than 80% of the species ultimately collected had been taken.
Figs. 26–27 in The Dung- and Carrion-Feeding Scarabs (Coleoptera: Scarabaeoidea) of an Amazonian Blackwater Rainforest: Results of a Continuous, 56-Week, Baited-PitfallTrap Study
Figs. 26–27. Number of scarabaeoid species collected per week at Reserva Ducke from September 1977 to October 1978 in 26) dung-baited and 27) carrion-baited pitfall traps with chloral hydrate (red line) or picric acid (blue line) solutions.
Figs. 22–23 in The Dung- and Carrion-Feeding Scarabs (Coleoptera: Scarabaeoidea) of an Amazonian Blackwater Rainforest: Results of a Continuous, 56-Week, Baited-PitfallTrap Study
Figs. 22–23. Number of scarabaeoid species collected in dung- and carrion-baited traps at Reserva Ducke from September 1977 to October 1978. 22) Total number of scarabaeoid species per week in all traps; 23) Mean number of species in all traps per month (red line) and mean monthly precipitation (blue line).
Fig. 21 in The Dung- and Carrion-Feeding Scarabs (Coleoptera: Scarabaeoidea) of an Amazonian Blackwater Rainforest: Results of a Continuous, 56-Week, Baited-PitfallTrap Study
Fig. 21. Number of individuals per week in carrion-baited traps containing chloral hydrate (red line) or picric acid
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.