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zenodo28/100

FIGURE 6 in A new brevicipitid species (Brevicipitidae: Callulina) from the fragmented forests of the Taita Hills, Kenya

FIGURE 6. Sonogram of Callulina dawida.

opennotspecifiedDec 2009View details →
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FIGURE 5 in A new brevicipitid species (Brevicipitidae: Callulina) from the fragmented forests of the Taita Hills, Kenya

FIGURE 5. Callulina dawida in life.

opennotspecifiedDec 2009View details →
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FIGURE 2 in A new brevicipitid species (Brevicipitidae: Callulina) from the fragmented forests of the Taita Hills, Kenya

FIGURE 2. Dorsal, ventral and lateral views of the holotype of Callulina dawida (NMK A/4267).

opennotspecifiedDec 2009View details →
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Dataset of the publication entitled 'Light-Powered Self-Adaptive Mesostructured Microrobots for Simultaneous Microplastics Trapping and Fragmentation via in situ Surface Morphing'

<p>dataset of the publication entitled 'Light-Powered Self-Adaptive Mesostructured Microrobots for Simultaneous Microplastics Trapping and Fragmentation via in situ Surface Morphing'</p>

opencc-by-4.0Nov 2023View details →
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FIG. 16. A left mandible fragment with m1-3 in New ctenodactyloid rodents from the Erlian Basin, Nei Mongol, China, and the phylogenetic relationships of Eocene Asian ctenodactyloids

FIG. 16. A left mandible fragment with m1-3 of Advenimus hupeiensis (V16507). A, occlusal view; B, labial view.

opencc-by-4.0Mar 2015View details →
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Supplementary material 1 from: Hutter CR, Andriampenomanana ZF, Andrianasolo GT, Cobb KA, Razafindraibe JH, Abraham RK, Lambert SM (2021) A fantastic new species of secretive forest frog discovered from forest fragments near Andasibe, Madagascar. Zoosystematics and Evolution 97(2): 483-495. https://doi.org/10.3897/zse.97.73630

Appendix 1

opencc-zeroDec 2021View details →
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Figure 3 from: Raupach MJ, Rulik B, Spelda J (2022) Surprisingly high genetic divergence of the mitochondrial DNA barcode fragment (COI) within Central European woodlice species (Crustacea, Isopoda, Oniscidea). ZooKeys 1082: 103-125. https://doi.org/10.3897/zookeys.1082.69851

Figure 3 Subtree of the Neighbor-joining topology based on Kimura 2-parameter distances of all analyzed specimens of Platyarthrus hoffmannseggii Brandt, 1833 and nearest neighbor. Branches with specimen ID-number from BOLD and sample localities. Numbers next to internal nodes are non-parametric bootstrap values (in %) with values higher than 80. BIN values are based on the barcode analysis from 05-06-2020. The isopod drawing by Christian Schmidt was obtained from Raupach (2005).

opencc-by-4.0Jan 2022View details →
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Рис. 8. Характер фрагментации и сохранности створок устрицы (Crassostrea gigas) иЗ раскопа 2 (фракция крупных фагментов). Fig. 8. Fragmentation and preservation patterns of valves of the giant oyster (Crassostrea gigas) from excavation 2 (fraction of large fragments). in Mollusks from the shell-midden of the Telyakovskogo 2 site in southern Primorye (Yankovskaya culture), their paleoecology and role in paleoeconomy

Рис. 8. Характер фрагментации и сохранности створок устрицы (Crassostrea gigas) иЗ раскопа 2 (фракция крупных фагментов). Fig. 8. Fragmentation and preservation patterns of valves of the giant oyster (Crassostrea gigas) from excavation 2 (fraction of large fragments).

opencc-by-4.0Dec 2017View details →
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Fig. 1 in Towards a global list of accepted species IV: Overcoming fragmentation in the governance of taxonomic lists

Fig. 1 General schematic of potential governance system for taxonomic lists

opennotspecifiedJul 2021View details →
dryad28/100

Wildlife roadkill patterns in a fragmented landscape of the Western Amazon

One of the most evident and direct effects of roads on wildlife is the death of animals by vehicle collision. Understanding the spatial patterns behind roadkill helps to plan mitigation measures to reduce the impacts of roads on animal populations. However, although roadkill patterns have been extensively studied in temperate zones, the potential impacts of roads on wildlife in the Neotropics have received less attention and are particularly poorly understood in the Western Amazon. Here, we present the results of a study on roadkill in the Amazon region of Ecuador; a region that is affected by a rapidly increasing development of road infrastructure. Over the course of 50 days, in the wet season between September and November 2017, we searched for road-killed vertebrates on 15.9 km of roads near the city of Tena, Napo province, for a total of 1590 surveyed kilometers. We recorded 593 dead specimens, predominantly reptiles (237 specimens, 40%) and amphibians (190, 32%), with birds (102, 17%) and mammals (64, 11%) being less common. Recorded species were assigned to three functional groups; based on their movement behavior and habitat use ('slow', 'intermediate' and 'fast'). Using Ripley's K statistical analyses and 2D HotSpot Identification Analysis, we found multiple distinct spatial clusters or hotspots, where roadkill was particularly frequent. Factors that potentially determined these clusters, and the prevalence of roadkill along road segments in general, differed between functional groups, but often included land cover variables such as native forest and waterbodies, and road characteristics such as speed limit (i.e. positive effect on roadkill frequency). Our study, which provides a first summary of species that are commonly found as roadkill in this part of the Amazon region, contributes to a better understanding of the negative impacts of roads on wildlife and is an important first step towards conservation efforts to mitigate these impacts.

opencc-zeroDec 2020View details →
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Implications for the mesopelagic microbial gardening hypothesis as determined by experimental fragmentation of Antarctic krill faecal pellets

<p>1. Detritivores need to upgrade their food to increase its nutritional value. One method is to fragment detritus promoting the colonisation­ of nutrient-rich microbes, which consumers then ingest along with the detritus; so-called microbial gardening. Observations and numerical models of the detritus-dominated ocean mesopelagic zone have suggested microbial gardening by zooplankton is a fundamental process in the ocean carbon cycle leading to increased respiration of carbon-rich detritus. However, no experimental evidence exists to demonstrate that microbial respiration rates are higher on recently fragmented sinking detrital particles.</p> <p>2. Using aquaria-reared Antarctic krill faecal pellets we showed fragmentation increased microbial particulate organic carbon (POC) turnover by 1.8x, but only on brown faecal pellets, formed from the consumption of other pellets. Microbial POC turnover on un-and fragmented green faecal pellets, formed from consuming fresh phytoplankton, was equal. Thus, POC content, fragmentation, and potentially nutritional value together drive POC turnover rates.</p> <p>3. Mesopelagic microbial gardening could be a risky strategy, as the dominant detrital food source is settling particles. Even though fragmentation decreases particle size and sinking rat, it is unlikely that an organism would remain with the particle long enough to nutritionally benefit from attached microbes. We propose 'communal gardening' occurs whereby additional mesopelagic organisms nearby or below the site of fragmentation consume the particle and the colonised microbes.</p> <p>4. To determine how fragmentation impacts the remineralisation of sinking carbon-rich detritus, and to parameterise microbial gardening in mesopelagic carbon models, three key metrics from further controlled experiments and observations are needed; how particle composition (here, pellet colour/krill diet) impacts the response of microbes to the fragmentation of particles; the nutritional benefit to zooplankton from ingesting microbes after fragmentation along with identification of which essential nutrients are being targeted; how both these factors vary between physical (shear) and biological particle fragmentation.</p>

opencc-zeroDec 2021View details →
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Figure 5 from: Hutter CR, Andriampenomanana ZF, Andrianasolo GT, Cobb KA, Razafindraibe JH, Abraham RK, Lambert SM (2021) A fantastic new species of secretive forest frog discovered from forest fragments near Andasibe, Madagascar. Zoosystematics and Evolution 97(2): 483-495. https://doi.org/10.3897/zse.97.73630

Figure 5 Ex-situ dorsal-lateral, dorsal and ventral photographs of A. Male Gephyromantis marokoroko sp. nov. (holotype, KU 343230); B.Gephyromantis striatus (Marojejy, ZCMV 15140; photographs by Mark D. Scherz); and C.Gephyromantis ventrimaculatus (Ranomanfana, KU 340917).

opencc-by-4.0Dec 2021View details →
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Figure 4 from: Hutter CR, Andriampenomanana ZF, Andrianasolo GT, Cobb KA, Razafindraibe JH, Abraham RK, Lambert SM (2021) A fantastic new species of secretive forest frog discovered from forest fragments near Andasibe, Madagascar. Zoosystematics and Evolution 97(2): 483-495. https://doi.org/10.3897/zse.97.73630

Figure 4 Results of phylogenetic analyses of the concatenated alignment of five mitochondrial and four nuclear markers for Maximum Likelihood (ML) and Bayesian Inference (BI). Topology is a consensus tree from IQ-Tree. On the right, the dots represent markers that were present in blue and absent in orange for each sample. The notes marked with a circle are those that did not receive perfect support (Bootstrap = 100; Posterior Probability = 1.00) from ML and BI, with the support values as BS on top and PP on the bottom. Note that Gephyromantis marokoroko sp. nov. has strong support in both analyses for a sister relationship to G. striatus.

opencc-by-4.0Dec 2021View details →
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Figure 1 from: Hutter CR, Andriampenomanana ZF, Andrianasolo GT, Cobb KA, Razafindraibe JH, Abraham RK, Lambert SM (2021) A fantastic new species of secretive forest frog discovered from forest fragments near Andasibe, Madagascar. Zoosystematics and Evolution 97(2): 483-495. https://doi.org/10.3897/zse.97.73630

Figure 1 The distribution of Gephyromantis marokoroko sp. nov. in east-central Madagascar, view from above (A.) and from a profile view (B.). The black star marker indicates the type locality at Vohidrazana Forest where the black circle "locality" markers indicate other confirmed localities for the new species. Gephyromantis marokoroko sp. nov. is also found at high elevations and, thus, is likely distributed at other high elevation sites not surveyed. Elevational and satellite imagery data acquired from the USGS Earth Explorer (http://earthexplorer.usgs.gov).

opencc-by-4.0Dec 2021View details →
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Figure 3 from: Hutter CR, Andriampenomanana ZF, Andrianasolo GT, Cobb KA, Razafindraibe JH, Abraham RK, Lambert SM (2021) A fantastic new species of secretive forest frog discovered from forest fragments near Andasibe, Madagascar. Zoosystematics and Evolution 97(2): 483-495. https://doi.org/10.3897/zse.97.73630

Figure 3 Results of phylogenetic analysis of the mitochondrial 16S rRNA barcode 3' marker for Maximum Likelihood (ML) and Bayesian Inference (BI). Topology is a consensus tree from IQ-Tree. The support values are shown as Bootstrap on top and Posterior Probability on the bottom only for nodes that were not perfectly supported. Note that Gephyromantis marokoroko sp. nov. placement in the clade is weakly supported in both analyses.

opencc-by-4.0Dec 2021View details →
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Figure 2 from: Hutter CR, Andriampenomanana ZF, Andrianasolo GT, Cobb KA, Razafindraibe JH, Abraham RK, Lambert SM (2021) A fantastic new species of secretive forest frog discovered from forest fragments near Andasibe, Madagascar. Zoosystematics and Evolution 97(2): 483-495. https://doi.org/10.3897/zse.97.73630

Figure 2 Ex-situ dorsal-lateral, dorsal and ventral photographs of A. Male Gephyromantis marokoroko sp. nov. (holotype, KU 343230) and B. Female (paratype, KU 343218) in life.

opencc-by-4.0Dec 2021View details →
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Figure 6 from: Hutter CR, Andriampenomanana ZF, Andrianasolo GT, Cobb KA, Razafindraibe JH, Abraham RK, Lambert SM (2021) A fantastic new species of secretive forest frog discovered from forest fragments near Andasibe, Madagascar. Zoosystematics and Evolution 97(2): 483-495. https://doi.org/10.3897/zse.97.73630

Figure 6 Oscillograms and spectrograms of the call of Gephyromantis marokoroko sp. nov. (Holotype: KU 343230). A. The entire call spectrogram and B. Entire call oscillogram; C. Power spectra/frequency spectrogram of a single note; D. A close-up spectrogram of four notes and E. Corresponding oscillogram; and F. an individual note taken from the middle of the call.

opencc-by-4.0Dec 2021View details →
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Abundance data of anuran species in forest fragments

<p>Understanding the effects of random versus niche-based processes on biodiversity patterns is a central theme in ecology, and an important tool for predicting effects of habitat loss and fragmentation on biodiversity. We investigated the predictive power of random processes to explain species richness and species dissimilarity of amphibian assemblages in a fragmented tropical landscape of the Atlantic Forest of South America.</p> <p>We analyzed a large database of amphibian abundance and occupancy, sampled in 21 forest fragments ranging in size from 1.9 to 619 ha. We compared observed species richness and species dissimilarity with the outcomes of two null (random placement) models: 1- the traditional Coleman's area-based model and 2 – an abundance-based model (based on the number of individuals observed in each fragment). We applied these models for all species combined, and separately for forest‐dependent and habitat-generalist species.</p> <p>The abundance-based model fitted the observed species richness data better than the area-based model for all species, forest-dependent species, and generalist species. The area-based and the abundance-based models were also able to significantly explain species dissimilarity for all species and for generalists, but not for forest-dependent species.</p> <p>The traditional area-based model assigned too many individuals to large fragments, thus failing to accurately explain species richness within patches across the landscape.</p> <p>Although niche-based processes may be important to structuring the regional pool of species in fragmented landscapes, our results suggest that part of the variation in species richness and species dissimilarity can be successfully explained by random placement models, especially for generalist species. Evaluating which factors cause variation in the number of individuals among patches should be a focus in future studies aiming to understand biodiversity patterns in fragmented landscapes.</p>

opencc-zeroJan 2022View details →
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Figure 3 from: Lucio-García JN, Sánchez-Reyes UJ, Horta-Vega JV, Reyes-Muñoz JL, Clark SM, Niño-Maldonado S (2022) Seasonal and microclimatic effects on leaf beetles (Coleoptera, Chrysomelidae) in a tropical forest fragment in northeastern Mexico. ZooKeys 1080: 21-52. https://doi.org/10.3897/zookeys.1080.76522

Figure 3 Individual dispersion of leaf beetle species whose association for microclimatic variables was significant in the dry season AAcallepitrix sp. 7 BAlagoasa trifasciataCBrachycoryna pumilaDCentralaphthona diversaEChaetocnema sp. 1 FEpitrix sp. 1 GSyphrea sp. 1. At each species panel: tiny, black dots represent the sampling units; gray circles represent the presence of the species in the sample, and the size of the circle is proportional to its abundance; straight lines represent vectors and indicate the dispersion of the species from the average position (centroid, pointed to by the red arrow) towards each of the sampling units where it was recorded; and ellipses represent the concentration of 95% of the specimens of the species. H canonical correlation values (loadings) between microclimatic variables and the abundance of Chrysomelidae. Abbreviations: MW: Maximum wind speed, AW: average wind speed, Tem: temperature, RH: relative humidity, HI: heat index, DP: dew point, Ev: evapotranspiration.

opencc-by-4.0Jan 2022View details →
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Figure 4 from: Lucio-García JN, Sánchez-Reyes UJ, Horta-Vega JV, Reyes-Muñoz JL, Clark SM, Niño-Maldonado S (2022) Seasonal and microclimatic effects on leaf beetles (Coleoptera, Chrysomelidae) in a tropical forest fragment in northeastern Mexico. ZooKeys 1080: 21-52. https://doi.org/10.3897/zookeys.1080.76522

Figure 4 Environmental ranges of leaf beetles during the rainy season. Abbreviations: Labi sutu (Labidomera suturella), Centra dive (Centralaphthona diversa), Mono bume (Monomacra bumeliae), Walte sp. 1 (Walterianella sp. 1), Alag trif (Alagoasa trifasciata), Zeno inco (Zenocolaspis inconstans).

opencc-by-4.0Jan 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

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neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record