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Figure 6 from: Sampaio ILR, Santos CP, França RC, Pedrosa IMMC, Solé M, França FGR (2018) Ecological diversity of a snake assemblage from the Atlantic Forest at the south coast of Paraíba, northeast Brazil. ZooKeys 787: 107-125. https://doi.org/10.3897/zookeys.787.26946
Figure 6 Individual-based rarefaction curve with standard deviation of snake species of south coast of Paraíba.
Figure 4 from: Sampaio ILR, Santos CP, França RC, Pedrosa IMMC, Solé M, França FGR (2018) Ecological diversity of a snake assemblage from the Atlantic Forest at the south coast of Paraíba, northeast Brazil. ZooKeys 787: 107-125. https://doi.org/10.3897/zookeys.787.26946
Figure 4 Species from the Atlantic Forest in south coast of Paraíba. ABoaconstrictorBEpicratesassisiCCorallushortulanusDChironiusflavolineatusEOxybelisaeneusFMastigodryasbifossatusGSpilotespullatusHTantillamelanocephalaIErythrolamprustaeniogasterJHelicopsangulatusKHydrodynastesgigasLOxyrhopuspetolariusMOxyrhopustrigeminusNPhilodryasnattereriOPhilodryasolfersii. Photograph credits: Ivan L. Sampaio (A, B, C, E, K, L, M, N, O), Frederico G. França (D, H, I, J), Mayara Morais (F), Willianilson Pessoa (G).
Supplementary material 1 from: Matsuoka S, Sugiyama Y, Sato H, Katano I, Harada K, Doi H (2019) Spatial structure of fungal DNA assemblages revealed with eDNA metabarcoding in a forest river network in western Japan. Metabarcoding and Metagenomics 3: e36335. https://doi.org/10.3897/mbmg.3.36335
: Data type: multimedia
Supplementary material 2 from: Matsuoka S, Sugiyama Y, Sato H, Katano I, Harada K, Doi H (2019) Spatial structure of fungal DNA assemblages revealed with eDNA metabarcoding in a forest river network in western Japan. Metabarcoding and Metagenomics 3: e36335. https://doi.org/10.3897/mbmg.3.36335
: Data type: molecular data
Fig 1 from: Krištín A, Heller K-G, Zemko M, Rakotondranary J, Jarcuska B (2019) Assemblages of orthopteroid insects along environmental gradients in central and southern Madagascar. Journal of Orthoptera Research 28(2): 155-166. https://doi.org/10.3897/jor.28.34055
Fig 1 Study sites (41) of orthopteroid insects in five habitats of central and southern Madagascar (C = cultivated habitats, MGS = mountain grass- and shrubland, RF = rainforest, SAS = savanna and shrubland, SF = semiarid spiny forest.
Fig 4 from: Krištín A, Heller K-G, Zemko M, Rakotondranary J, Jarcuska B (2019) Assemblages of orthopteroid insects along environmental gradients in central and southern Madagascar. Journal of Orthoptera Research 28(2): 155-166. https://doi.org/10.3897/jor.28.34055
Fig 4 DCA ordination plot summarizing the differences in orthopteran assemblages along altitudinal and latitudinal gradients in five habitats in central and southern Madagascar. Displayed are 41 species with a weight of more than 2% (6 Ensifera: triangle, 35 Caelifera: x-mark) and no Mantodea, Phasmida, and Blattodea). Abbreviations for the taxa are composed of the first four letters of their genus and species names when taxa were identified to the species level; otherwise the first four letters of the higher taxonomic unit is used. For the full species names, see Appendix 1. Environmental variables are only passively projected into the ordination. C = cultivated habitats, MGS = mountain grassland and shrubland, RF = rainforest, SAS = savanna and shrubland, SF = semiarid spiny forest.
Fig 5 from: Krištín A, Heller K-G, Zemko M, Rakotondranary J, Jarcuska B (2019) Assemblages of orthopteroid insects along environmental gradients in central and southern Madagascar. Journal of Orthoptera Research 28(2): 155-166. https://doi.org/10.3897/jor.28.34055
Fig 5 Variation partitioning (%) in orthopteroid insect assemblages was explained by three variables—habitat, altitude and latitude—using CCA. A unique effect of habitat type and altitude were statistically significant (P < 0.01).
Fig 7 from: Krištín A, Heller K-G, Zemko M, Rakotondranary J, Jarcuska B (2019) Assemblages of orthopteroid insects along environmental gradients in central and southern Madagascar. Journal of Orthoptera Research 28(2): 155-166. https://doi.org/10.3897/jor.28.34055
Fig 7 A. Endemic species Caprorhinus ranohirae in savanna and shrubland of Isalo National Park; B. Monkey hopper Apteropeoedes nigroplagiatus female in semiarid spiny forest of Zombitse National Park; C. Cryptic and endemic mantid Antongilia laciniata in Ranomafana rainforest; D. Endemic Ambositracris ornata male in mountain grasslands and shrubs of Ibity Mts.; E. Afro-Malagasy species Duronia chloronota (yellow pink form) in cultivated habitats near Ambositra, and; F. eurytopic and color dimorphic endemic Rubellia nigrosignata in copula (shrubland in Anakao). Photos by A. Krištín.
Fig 3 from: Krištín A, Heller K-G, Zemko M, Rakotondranary J, Jarcuska B (2019) Assemblages of orthopteroid insects along environmental gradients in central and southern Madagascar. Journal of Orthoptera Research 28(2): 155-166. https://doi.org/10.3897/jor.28.34055
Fig 3 Classification of 41 sites (central and southern Madagascar, 0–2250 m a.s.l.) based on orthopteroid insect species composition by nonmetric multidimensional scaling (NMDS). C = cultivated habitats, MGS = mountain grass- and shrubland, RF = rainforest, SAS = savanna and shrubland, SF = semiarid spiny forest.
Fig 6 from: Krištín A, Heller K-G, Zemko M, Rakotondranary J, Jarcuska B (2019) Assemblages of orthopteroid insects along environmental gradients in central and southern Madagascar. Journal of Orthoptera Research 28(2): 155-166. https://doi.org/10.3897/jor.28.34055
Fig 6 A. Species frequency and B. Endemics in three categories of management (n = number of sites in each category).
Fig 2 from: Krištín A, Heller K-G, Zemko M, Rakotondranary J, Jarcuska B (2019) Assemblages of orthopteroid insects along environmental gradients in central and southern Madagascar. Journal of Orthoptera Research 28(2): 155-166. https://doi.org/10.3897/jor.28.34055
Fig 2 Five main habitats studied in Madagascar: A. Savanna and shrubland; B. Semiarid spiny forests; C. Rainforests; D. Mountain grasslands and shrubs; E. Cultivated, human made habitats, such as fields, orchards, parks and gardens. Photos by A. Krištín.
Figures 3-4 from: Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
Figures 3-4 - Whittaker plot of fishes from Alagoas coast sampled during the rainy season (3) and the dry season (4).
Figure 2 from: Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
Figure 2 - Rarefaction curves for the samples caught during dry and rain seasons using the bootstrap richness estimator.
Figure 1 from: Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
Figure 1 - Location of the sampled area within the Alagoas coast. Jaraguá fishing harbor and the fishery sites were indicated.
Figure 5 from: Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
Figure 5 - Diversity profile of the dry and rain seasons on the coast of Alagoas. Alpha = 1 Emphasizes the separation of richness and diversity profile.
Figures 6-9 from: Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
Figures 6-9 - Mean ± sd of the number of fishes, fish total length, species richness, and CPUE by climatic seasons (6); CPUE (mean ± sd) by month (7); precipitation by month (8) and wind strength by month (9).
Figure 2 from: Costa-Campos CE, Freire EMX (2019) Richness and composition of anuran assemblages from an Amazonian savanna. ZooKeys 843: 149-169. https://doi.org/10.3897/zookeys.843.33365
Figure 2 Rainfall data and minimum and maximum temperatures at the Experimental Field of the Brazilian Agricultural Research Corporation – EMBRAPA, municipality of Macapá, Amapá State, northern Brazil between January and December 2009, 2010, and 2013.
Figure 5 from: Costa-Campos CE, Freire EMX (2019) Richness and composition of anuran assemblages from an Amazonian savanna. ZooKeys 843: 149-169. https://doi.org/10.3897/zookeys.843.33365
Figure 5 Dendrogram of similarity between the savanna area physiognomies, sampled in the Experimental Field of the Brazilian Agricultural Research Corporation – EMBRAPA, municipality of Macapá, Amapá State. Group A (open woodland savanna, OW), Group B (Parkland savanna, PS), and Group C (grassland savanna, GS and scrub grassland savanna, SG).
Figure 4 from: Costa-Campos CE, Freire EMX (2019) Richness and composition of anuran assemblages from an Amazonian savanna. ZooKeys 843: 149-169. https://doi.org/10.3897/zookeys.843.33365
Figure 4 The species accumulation curves sampled in the savanna area from the Experimental Field of the Brazilian Agricultural Research Corporation – EMBRAPA, municipality of Macapá, Amapá State, northern Brazil, for each of the sampled physiognomies: A grassland savanna B scrub grassland savanna C parkland savanna D open woodland savanna, based on the number of individuals representing the observed (Sobs) and estimated species richness (Jackknife 1).
Figure 1 from: Costa-Campos CE, Freire EMX (2019) Richness and composition of anuran assemblages from an Amazonian savanna. ZooKeys 843: 149-169. https://doi.org/10.3897/zookeys.843.33365
Figure 1 Maps showing the Amapá state and sampling sites in the Experimental Field of the Brazilian Agricultural Research Corporation – EMBRAPA, municipality of Macapá, Amapá State, northern Brazil.
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.