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229 results for “community biodiversity”
Figure 5 from: Riley Peterson KN, Browne RA, Erwin TL (2021) Carabid beetle (Coleoptera, Carabidae) richness, diversity, and community structure in the understory of temporarily flooded and non-flooded Amazonian forests of Ecuador. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 831-876. https://doi.org/10.3897/zookeys.1044.62340
Figure 5 Number of Cicindelini (tiger beetles) collected from FP and TF forests. Significantly more tiger beetle individuals were collected in TF forest (P = 0.011).
Figure 2 from: Tsafack N, Wang X, Xie Y, Fattorini S (2021) Niche overlap and species co-occurrence patterns in carabid communities of the northern Chinese steppes. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 929-949. https://doi.org/10.3897/zookeys.1044.62478
Figure 2 Histograms of expected values (blue bars) for niche overlap in carabid beetle communities of Central Asian steppes using the RA2 algorithm to generate 10,000 null matrices. Investigated ecosystems were a desert steppe (a), a typical steppe (b), a meadow steppe (c), three sectors within the typical steppe (d–f), and two sectors within the meadow steppe (g, h). In each graph, the vertical red line indicates the observed value, long-dash lines indicate the one-tailed 95% limits, and the short-dash lines the two-tailed 95% limits.
Figure 1 from: Tsafack N, Wang X, Xie Y, Fattorini S (2021) Niche overlap and species co-occurrence patterns in carabid communities of the northern Chinese steppes. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 929-949. https://doi.org/10.3897/zookeys.1044.62478
Figure 1 Histograms of expected values (blue bars) for niche overlap in carabid beetle communities of Central Asian steppes using the RA3 algorithm to generate 10,000 null matrices. Investigated ecosystems were a desert steppe (a), a typical steppe (b), a meadow steppe (c), three sectors within the typical steppe (d–f), and two sectors within the meadow steppe (g, h). In each graph, the vertical red line indicates the observed value, long-dash lines indicate the one-tailed 95% limits, and the short-dash lines the two-tailed 95% limits.
Supplementary material 3 from: Turunen J, Mykrä H, Elbrecht V, Steinke D, Braukmann T, Aroviita J (2021) The power of metabarcoding: Can we improve bioassessment and biodiversity surveys of stream macroinvertebrate communities? Metabarcoding and Metagenomics 5: e68938. https://doi.org/10.3897/mbmg.5.68938
Table S3
Supplementary material 5 from: Turunen J, Mykrä H, Elbrecht V, Steinke D, Braukmann T, Aroviita J (2021) The power of metabarcoding: Can we improve bioassessment and biodiversity surveys of stream macroinvertebrate communities? Metabarcoding and Metagenomics 5: e68938. https://doi.org/10.3897/mbmg.5.68938
Table S5
Supplementary material 2 from: Turunen J, Mykrä H, Elbrecht V, Steinke D, Braukmann T, Aroviita J (2021) The power of metabarcoding: Can we improve bioassessment and biodiversity surveys of stream macroinvertebrate communities? Metabarcoding and Metagenomics 5: e68938. https://doi.org/10.3897/mbmg.5.68938
Table S2
Supplementary material 4 from: Turunen J, Mykrä H, Elbrecht V, Steinke D, Braukmann T, Aroviita J (2021) The power of metabarcoding: Can we improve bioassessment and biodiversity surveys of stream macroinvertebrate communities? Metabarcoding and Metagenomics 5: e68938. https://doi.org/10.3897/mbmg.5.68938
Table S4
Supplementary material 6 from: Turunen J, Mykrä H, Elbrecht V, Steinke D, Braukmann T, Aroviita J (2021) The power of metabarcoding: Can we improve bioassessment and biodiversity surveys of stream macroinvertebrate communities? Metabarcoding and Metagenomics 5: e68938. https://doi.org/10.3897/mbmg.5.68938
Scripts S1
Supplementary material 1 from: Turunen J, Mykrä H, Elbrecht V, Steinke D, Braukmann T, Aroviita J (2021) The power of metabarcoding: Can we improve bioassessment and biodiversity surveys of stream macroinvertebrate communities? Metabarcoding and Metagenomics 5: e68938. https://doi.org/10.3897/mbmg.5.68938
Table S1
Figure 2 from: Arvanitidis C, Faulwetter S, Chatzigeorgiou G, Penev L, Bánki O, Dailianis T, Pafilis E, Kouratoras M, Chatzinikolaou E, Fanini L, Vasileiadou A, Pavloudi C, Vavilis P, Koulouri P, Dounas C (2011) Engaging the broader community in biodiversity research: the concept of the COMBER pilot project for divers in ViBRANT. ZooKeys 150: 211-229. https://doi.org/10.3897/zookeys.150.2149
Figure 2 - Map of observation sites: A = Lygaria B = Agios Nikolaos C = Tinos D = Pylos E = Hersonissos F = Donousa G = Kythira H = Ierapetra I = Tripiti. The two diving clubs where the project was conducted under supervision of the scientists are based in Lygaria and Agios Nikolaos (A, B). Numbers refer to dives or snorkel trips.
Figure 9 from: Perissinotto R, Bird MS, Bilton DT (2016) Predaceous water beetles (Coleoptera, Hydradephaga) of the Lake St Lucia system, South Africa: biodiversity, community ecology and conservation implications. ZooKeys 595: 85-135. https://doi.org/10.3897/zookeys.595.8614
Figure 9 - Peltodytes sp. 4.10 mm, iSimangaliso Wetland Park, Western Shores (site 6), February 2015 DT Bilton, MS Bird & R Perissinotto leg.
Figure 8 from: Perissinotto R, Bird MS, Bilton DT (2016) Predaceous water beetles (Coleoptera, Hydradephaga) of the Lake St Lucia system, South Africa: biodiversity, community ecology and conservation implications. ZooKeys 595: 85-135. https://doi.org/10.3897/zookeys.595.8614
Figure 8 - Haliplus natalenis Wehncke, 1880 3.72 mm, iSimangaliso Wetland Park, False Bay (site 27), January 2015 DT Bilton, MS Bird & R Perissinotto leg.
Figure 71 from: Perissinotto R, Bird MS, Bilton DT (2016) Predaceous water beetles (Coleoptera, Hydradephaga) of the Lake St Lucia system, South Africa: biodiversity, community ecology and conservation implications. ZooKeys 595: 85-135. https://doi.org/10.3897/zookeys.595.8614
Figure 71 - Laccophilus cryptos Biström, Nilsson & Bergsten, 2015 2.5 mm, iSimangaliso Wetland Park, Western Shores (site 2), July 2014 MS Bird leg.
Figure 70 from: Perissinotto R, Bird MS, Bilton DT (2016) Predaceous water beetles (Coleoptera, Hydradephaga) of the Lake St Lucia system, South Africa: biodiversity, community ecology and conservation implications. ZooKeys 595: 85-135. https://doi.org/10.3897/zookeys.595.8614
Figure 70 - Laccophilus canthydroides Omer-Cooper, 1957 3.24 mm, iSimangaliso Wetland Park, Eastern Shores (site 23), February 2015 DT Bilton, MS Bird & R Perissinotto leg.
Figure 73 from: Perissinotto R, Bird MS, Bilton DT (2016) Predaceous water beetles (Coleoptera, Hydradephaga) of the Lake St Lucia system, South Africa: biodiversity, community ecology and conservation implications. ZooKeys 595: 85-135. https://doi.org/10.3897/zookeys.595.8614
Figure 73 - Laccophilus simplicistriatus Gschwendtner, 1932 3.8 mm, iSimangaliso Wetland Park, Eastern Shores (site 21), February 2015 DT Bilton, MS Bird & R Perissinotto leg.
Figure 72 from: Perissinotto R, Bird MS, Bilton DT (2016) Predaceous water beetles (Coleoptera, Hydradephaga) of the Lake St Lucia system, South Africa: biodiversity, community ecology and conservation implications. ZooKeys 595: 85-135. https://doi.org/10.3897/zookeys.595.8614
Figure 72 - Laccophilus contiro Guignot, 1952 3.30 mm, iSimangaliso Wetland Park, Eastern Shores (site 14), February 2015 DT Bilton, MS Bird & R Perissinotto leg.
Figure 69 from: Perissinotto R, Bird MS, Bilton DT (2016) Predaceous water beetles (Coleoptera, Hydradephaga) of the Lake St Lucia system, South Africa: biodiversity, community ecology and conservation implications. ZooKeys 595: 85-135. https://doi.org/10.3897/zookeys.595.8614
Figure 69 - Derovatellus cf. natalensis Omer-Cooper, 1965 3.91 mm, iSimangaliso Wetland Park, False Bay (site 27), January 2015 DT Bilton, MS Bird & R Perissinotto leg.
Figure 7 from: Perissinotto R, Bird MS, Bilton DT (2016) Predaceous water beetles (Coleoptera, Hydradephaga) of the Lake St Lucia system, South Africa: biodiversity, community ecology and conservation implications. ZooKeys 595: 85-135. https://doi.org/10.3897/zookeys.595.8614
Figure 7 - Dineutus subspinosus (Klug, 1834) 7.85 mm, iSimangaliso Wetland Park, False Bay (site 29), February 2015 DT Bilton, MS Bird & R Perissinotto leg.
Figure 68 from: Perissinotto R, Bird MS, Bilton DT (2016) Predaceous water beetles (Coleoptera, Hydradephaga) of the Lake St Lucia system, South Africa: biodiversity, community ecology and conservation implications. ZooKeys 595: 85-135. https://doi.org/10.3897/zookeys.595.8614
Figure 68 - Methles cribratellus (Fairmaire, 1880) 3.87 mm, iSimangaliso Wetland Park, False Bay (site 27), January 2015 DT Bilton, MS Bird & R Perissinotto leg.
Figure 63 from: Perissinotto R, Bird MS, Bilton DT (2016) Predaceous water beetles (Coleoptera, Hydradephaga) of the Lake St Lucia system, South Africa: biodiversity, community ecology and conservation implications. ZooKeys 595: 85-135. https://doi.org/10.3897/zookeys.595.8614
Figure 63 - Herophydrus nodieri (Régimbart, 1895) 5.66 mm, iSimangaliso Wetland Park, False Bay (site 27), January 2015 DT Bilton, MS Bird & R Perissinotto leg.
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.