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Fig. 4 in Composition and Dynamics of Hexapod Communities on Yushan Bamboo () in the Subtropical Montane Areas of Taiwan.
Fig. 4. Numbers of individuals and the biomass transformed on the basis of body length data collected in bimonthly survey during 2009–2012. The numbers of individuals (solid circles) and biomass (empty circles, mg) were transformed into logN values. Temperature is indicated by gray bars.
Fig. 2 in Composition and Dynamics of Hexapod Communities on Yushan Bamboo () in the Subtropical Montane Areas of Taiwan.
Fig. 2. Bimonthly dynamics of numbers of individuals in the dominant hexapod orders Collembola (square), Hemiptera (triangle), and Hymenoptera (circle) surveyed during 2009–2012. Temperature is indicated by gray bars.
Fig. 1 in Composition and Dynamics of Hexapod Communities on Yushan Bamboo () in the Subtropical Montane Areas of Taiwan.
Fig. 1. Percentage distribution of individuals belonging to hexapod families of the dominant orders of Hemiptera, Collembola, and Hymenoptera surveyed on Yushan bamboo during 2009–2012. Family names are listed beneath the axis. Families were presented in colors.
Linked collectors and determiners for: Phytoplankton community composition in the water column of East Greenland fjords, August 2022.
Natural history specimen data linked to collectors and determiners held within, "Phytoplankton community composition in the water column of East Greenland fjords, August 2022". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/a00e14eb-3398-4c40-87f6-41e78081e7ef">https://bionomia.net/dataset/a00e14eb-3398-4c40-87f6-41e78081e7ef</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/a00e14eb-3398-4c40-87f6-41e78081e7ef">https://gbif.org/dataset/a00e14eb-3398-4c40-87f6-41e78081e7ef</a>. Formatted as a Frictionless Data package.
Data from: Rhizosphere bacterial community composition depends on plant species identity and soil legacy effects
<p>This record contains supplementary information for the article "Rhizosphere bacterial community composition depends on plant diversity legacy in soil and plant species identity".</p> <p><strong>Supplemental Table S1.</strong> The table contains the annotation for all the samples sequenced and analyzed.</p> <p><strong>Supplemental Table S2. </strong>The table contains all primer sequences used in the study.</p> <p><strong>Supplemental Table S3.</strong> The zip-file contains a table with the taxonomic annotation of the operational taxonomic units (OTUs) identified in the study.</p> <p><strong>Supplemental Table S4. </strong> The zip-file contains a table with sequence counts of the operational taxonomic units (OTUs) identified in the study.</p> <p><strong>Supplemental Table S5. </strong>The workbook contains a sheet with the number of operational taxonomic units (OTUs) exhibiting differential abundance in any of the contrasts tested in this study. Note that “down/up” indicates whether the OTU was less (“down”) or more (“up”) abundant in the first group of the contrast. For example, given the contrast “PH_mix_vs_mon_”, “down” corresponds to higher abundance in the pots from the monoculture plant history. Conversely, “up” refers to higher abundance in the pots from the mixed culture plant history. In addition, the workbook contains one sheet per contrast with the logBaseMean (log2 of the average normalized abundance across all samples), the logFC (log2 of the fold-change), the <em>P</em>-value, and the adjusted <em>P</em>-value (FDR). Only OTUs with a <em>P</em>-value <= 0.05 or an adjusted <em>P</em>-value (FDR) <= 0.1 are given.</p> <p><strong>Supplemental Table S6. </strong>The table contains the number of bacterial OTUs annotated with a given bacterial phylum.</p> <p><strong>Supplemental Table S7. </strong>The table contains all phyla tested for enrichment/depletion in the set of OTUs with an increased abundance in monoculture and mixed culture soils respectively. “Total counts (all OTUs)” corresponds to the total number of all OTUs annotated with a given phyla (reference set). “Observed” corresponds to the number of OTUs annotated with a given phyla in the set OTUs with increased abundance in monoculture/mixed culture soils (test set). "Expected" gives the number of OTUs which would be expected to be annotated with a given phyla if the test set were randomly sampled from the reference set.</p> <p><strong>Supplemental File S1.</strong> The zip-file contains a fasta file with the 10'205 OTU sequences identified in the study.</p> <p> </p> <p> </p>
Bacterial Communities Composition across the French National Territory 2
<p>Bacterial Communities Composition across the French National Territory : the dataset is composed of 1798 samples and 1355 bacterial and archaeal genera</p>
Fig. 16. Maximum Composite Likelihood model for 29 in Species turnover between the northern and southern part of the South China Sea in the Elaphropeza Macquart mangrove fly communities of Hong Kong and Singapore (Insecta: Diptera: Hybotidae)
Fig. 16. Maximum Composite Likelihood model for 29 species of Elaphropeza based on COI barcodes from specimens from Singapore and Hong Kong.
Figure 3 in Effect of land cover on biodiversity and composition of a soil macrofauna community in a reclaimed coastal area at Yancheng, China
Figure 3. The dendrogram of cluster analysis on soil macrofauna from different habitats with Bray–Curtis similarity by paired groups method (A: Uncultivated land; B: Bulrush land; C: Wheat farm; D: Poplar forest; E: Metasequoia forest).
Figure 2 in Effect of land cover on biodiversity and composition of a soil macrofauna community in a reclaimed coastal area at Yancheng, China
Figure 2. One-way ANOVA on taxonomic richness and abundance, Margalef 's richness index (R) and Shannon-Weaver diversity index (H') among different habitats (Mean ± SE). The means with different scripts are significantly different by SNK test, α = 0.05.
Figure 3 in Impact of dike age on biodiversity and functional composition of soil macrofaunal communities in poplar forests in a reclaimed coastal area
Figure 3. PCoA ordinal configuration of soil macrofaunal communities from different habitats by Euclidean distance similarity index. In the code of the samples, the prefix means the code of the habitat, and the suffix means the number of the sample.
Figure 2 in Impact of dike age on biodiversity and functional composition of soil macrofaunal communities in poplar forests in a reclaimed coastal area
Figure 2. One-way ANOVA of taxonomic richness and abundance (A) and Margalef 's richness index R and Shannon– Weaver diversity index H' (B) across different habitats (mean ± SE). Means with different scripts are significantly different by Dunnett's T3 test (A) and LSD test (B), α = 0.05.
Figure 4 in Composition and structure of soil fauna community in the Dexing Copper Mine tailings pool after revegetation
Figure 4. One-way ANOVA of Shannon–Wiener diversity index (H'), Pielou index (Js), and Margalef index (D) across the different samples (mean ± SE). Means with different letters are significantly different as assessed by LSD test, α = 0.05.
Figure 3 in Composition and structure of soil fauna community in the Dexing Copper Mine tailings pool after revegetation
Figure 3. One-way ANOVA of the functional groups across the different samples (mean ± SE). Means with different letters are significantly different as assessed by LSD test, α = 0.05.
Figure 5 in Composition and structure of soil fauna community in the Dexing Copper Mine tailings pool after revegetation
Figure 5. Results of the principal components analysis (PCA) of the soil fauna data. The values are means (n = 3) with bidirectional error bars of axis 1 and 2. For all the PCA plots, the values on the x- and y-axes represent the percent variation explained by axis 1 and axis 2, respectively. I, II, III, and IV refer to the sample I, sample II, sample III, and sample IV, respectively.
Figure 2 in Composition and structure of soil fauna community in the Dexing Copper Mine tailings pool after revegetation
Figure 2. One-way ANOVA of the abundance (A) and taxonomic richness (B) across different samples (mean ± SE). Means with different letters are significantly different as assessed by LSD test, α = 0.05.
Figure 5 in Species composition and ecological structure of ground beetle communities (Coleoptera, Carabidae) in reclaimed rock dumps in the south of Western Siberia
Figure 5. Ratio of species (first columns) and numerical (second columns) abundance of ground beetle trophic classes, %
Fig. 3 in Call survey indicates rainbow trout farming alters glassfrog community composition in the Andes of Ecuador
Fig. 3. Map of the study area. Inset: Pichincha Province, Ecuador. Main: Blue points indicate non-trout farm sites whereas red points indicate trout farm sites. Yellow line represents the equator (latitude 0).
Fig. 2 in Call survey indicates rainbow trout farming alters glassfrog community composition in the Andes of Ecuador
Fig. 2. Glassfrog species found during surveys. (A) Centrolene heloderma, (B) Centrolene ballux, (C) Esparana prosoblepon, (D) Nymphargus lasgralarias, (E) Centrolene peristictum, (F) Nymphargus grandisonae, (G) Centrolene lynchi, (H) Egg mass from C. ballux. Nymphargus griffithsi was not encountered during the 2017 survey but has been documented at Kathy's creek in 2012 and 2013 (by Jane A. Lyons). Photographs by Dana G. Wessels (A–F) and Timothy J. Krynak (G–H).
Fig. 1 in Call survey indicates rainbow trout farming alters glassfrog community composition in the Andes of Ecuador
Fig. 1. Trout farming in the Mindo region of Ecuador utilizes a flow-through aquaculture technique. Stream water is diverted into tandem raceways/holding reservoirs and then flows through these reservoirs back into the natural stream system. This figure displays a panoramic view of Finca de Jaime's (FJ) set-up. Photograph by Katherine L. Krynak.
Fig. 4 in Call survey indicates rainbow trout farming alters glassfrog community composition in the Andes of Ecuador
Fig. 4. Two-dimensional NMDS ordination of survey sites and glassfrog species based upon presence of frogs audibly documented in 2017 survey conducted in the Mindo region of Ecuador (Stress = 3%). Red points and labels represent glassfrog species; grey points represent trout farms; and black points represent non-trout farms. RSR = Río Santa Rosa, LC = Lucy's Creek, Bcrk = Ballux Creek, KC = Kathy's Creek, M = Michelle's, C = tributary of the Chalguayacu Grande River, 5F = Five Frog Creek, LRSR = Lower Río Santa Rosa, ST = Santa Teresita, FJ = Finca de Jaime, LS = La Sierra, VC = Verdecocha, EP = El Paraíso del Pescador. Trout farms EP, LS, and VC are not included in the analysis because glassfrogs were not observed at these sites. A significant difference in glassfrog community composition between trout farm and non-trout farm sites was indicated by MRPP (delta = 0.59, A = 0.11, P = 0.03). NMDS1 correlated with elevation; NMDS2 correlated with: percent canopy openness, dissolved oxygen (mg/L), total dissolved solids (mg/L), and conductivity (µS).
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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.