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Fig. 6 in Do changes in riparian zones affect periphyton growth and invertebrate colonization on rocky substrates in Atlantic Forest streams?

Fig. 6. Canonical analysis of principal coordinates (CAP) of invertebrates associated with cobbles in Luxemburgo (gray circles), Macuco (black squares) and Pau Amarelo (white diamonds) streams, state of Espírito Santo, Brazil. Only taxa vectors with correlations>0.3 are included in the plot. T7, T15, T30, T45 and T60: sampling intervals (Bae: Baetidae; Calo, Calopterygidae; Chi, Chironominae; Elm.A, Elmidae adult; Elm.L, Elamidae larva; Emp, Empididae; Ger, Gerridae; Gom, Gomphidae; Hel, Helichopsychidae; Hydra, Hydracarina; Hyd.psy, Hydropsychidae; Hyd.ptil, Hydroptilidae; Lep.cer, Leptoceridae; Lep.hyp, Leptohyphidae; Lep.phl, Leptophlebiidae; Meg, Megapodagrionidae; Nau, Naucoridae; Odo, Odontoceridae; Oli, Oligochaeta; Ort, Orthocladiinae; Per, Perlidae; Philo, Philopotamidae; Poly, Polycentropodidae; Pse, Psephenidae; Psy, Psychodidae; Tany, Tanypodinae; Vel, Veliidae).

opencc-by-4.0Jun 2018View details →
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Fig. 3 in Do changes in riparian zones affect periphyton growth and invertebrate colonization on rocky substrates in Atlantic Forest streams?

Fig. 3. Values (mean ± SE) of invertebrate density associated with cobbles in Luxemburgo (thin solid line, gray circles), Macuco (thick solid line, black squares) and Pau Amarelo (dashed line, white diamonds) streams, state of Espírito Santo, Brazil.

opencc-by-4.0Jun 2018View details →
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Fig. 5 in Do changes in riparian zones affect periphyton growth and invertebrate colonization on rocky substrates in Atlantic Forest streams?

Fig. 5. Species accumulation curves (Mao-Tau sampled based rarefaction with 95% confidence intervals) of invertebrates associated with cobbles in Luxemburgo (thin solid line, gray circles), Macuco (thick solid line, black squares) and Pau Amarelo (dashed line, white diamonds) streams, state of Espírito Santo, Brazil.

opencc-by-4.0Jun 2018View details →
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Fig. 1 in Do changes in riparian zones affect periphyton growth and invertebrate colonization on rocky substrates in Atlantic Forest streams?

Fig. 1. Daily mean values of water temperature (lines) and luminosity (columns) in Luxemburgo (gray), Macuco (black) and Pau Amarelo (white) streams, state of Espírito Santo, Brazil during the experiment.

opencc-by-4.0Jun 2018View details →
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Fig. 2 in Do changes in riparian zones affect periphyton growth and invertebrate colonization on rocky substrates in Atlantic Forest streams?

Fig. 2. Contents of chlorophyll-a (mean ± SE) on the cobbles incubated in Luxemburgo (thin solid line, gray circles), Macuco (thick solid line, black squares) and Pau Amarelo (dashed line, white diamonds) streams, state of Espírito Santo, Brazil.

opencc-by-4.0Jun 2018View details →
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Fig. 7 in Biometry of neotropical invertebrates inhabiting floodplain rivers: unraveling bionomy

Fig. 7. Differences in slopes obtained for lineal regressions of mollusks with and without shells. Invertebrates were collected in the Paraná River floodplain from 2005 through 2014.

opencc-by-4.0Dec 2017View details →
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Fig. 1 in Biometry of neotropical invertebrates inhabiting floodplain rivers: unraveling bionomy

Fig. 1. Lower to higher fit level (R2) for the lineal models on metric-DW variation of invertebrates. The pie-chart shows the proportion (%) of values that fall within each R2 category. Invertebrates were collected in the Paraná River floodplain from 2005 through 2014.

opencc-by-4.0Dec 2017View details →
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Fig. 2-5 in Biometry of neotropical invertebrates inhabiting floodplain rivers: unraveling bionomy

Fig. 2-5. Dispersion plots and lineal curves on L-DW regressions for (2) oligochaetes, (3) mollusks, (4) insects and (5) all invertebrates together. For Planorbidae L=D and for Ampullariidae L= H. In Fig. 5 only apple snails H-DW were considered within "Gastropoda" and only Corbiculidae and Hyriidae (and not Sphaeriidae) were considered within "Bivalvia". Invertebrates were collected in the Paraná River floodplain from 2005 through 2014.

opencc-by-4.0Dec 2017View details →
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Fig. 6 in Biometry of neotropical invertebrates inhabiting floodplain rivers: unraveling bionomy

Fig. 6. Fit levels obtained from freshwater invertebrates metric-DW lineal regressions. L= length, W= width and other metrics= "W" for clams, "D2" for apple snails and "Tibia" for mayflies. Invertebrates were collected in the Paraná River floodplain from 2005 through 2014.

opencc-by-4.0Dec 2017View details →
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Fig. 1 in Effect of leaf decomposition stage and water temperature on fragmentation activity of a shredder invertebrate species in lotic ecosystems

Fig. 1. Schematic representation of the eXperimental design of the present study. EXperiment I: nine discs of senescent (S) and nine discs of conditioned senescent (SCD) wastes were used in each aquarium in the absence of shredder invertebrates. EXperiment II: nine discs of senescent (S), nine discs of conditioned senescent (SCD) and nine discs of green detritus (G) were used in each aquarium in the presence of shredded invertebrates (Phylloicus sp.).

opencc-by-4.0Dec 2017View details →
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Fig. 2 in Effect of leaf decomposition stage and water temperature on fragmentation activity of a shredder invertebrate species in lotic ecosystems

Fig. 2. Mean values and standard error of leaf mass loss (LML) of senescent (senescent plus conditioned senescent, due to the absence of visual distinction by coloration) and green detritus for larval case production by Phylloicus sp. in the different water temperature treatments at Capetinga Stream, Água Limpa Farm, Brasília, Brazil.

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Fig. 9 in Biometry of neotropical invertebrates inhabiting floodplain rivers: unraveling bionomy

Fig. 9. Box-plot of invertebrates AFDW/DW. Significance values (p) of Mann-Whitney pairwise comparisons are showed on the lower-right side. P-values: * p= 0.01-0.05; ** p<0.01-0.001; *** p<0.001. Invertebrates were collected in the Paraná River floodplain from 2005 through 2014.

opencc-by-4.0Dec 2017View details →
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Fig. 8 in Biometry of neotropical invertebrates inhabiting floodplain rivers: unraveling bionomy

Fig. 8. Values of slopes (=b) of regression equations obtained for metrics-DW relationships. Invertebrates were collected in the Paraná River floodplain from 2005 through 2014.

opencc-by-4.0Dec 2017View details →
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Trait Spreadsheet to DwCA: Invertebrate phenology

<p></p>https://eol-jira.bibalex.org/browse/DATA-1882<p></p>Updated: 2023-06-29 11:54

opencc-zeroAug 2024View details →
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Spreadsheet Template for Habitat Data for Aquatic Invertebrates

<p>Spreadsheet template for <a href="https://doi.org/10.5281/zenodo.13320933">Habitat data for aquatic invertebrates</a></p>

opencc-zeroAug 2024View details →
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Spreadsheet Template for Invertebrate Phenology

<p>Spreadsheet template for <a href="https://doi.org/10.5281/zenodo.13320929">Invertebrate Phenology</a></p>

opencc-zeroAug 2024View details →
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Habitat data for aquatic invertebrates

<p>Habitat data for aquatic invertebrates from the following sources:</p> <p>Corbet, P.S., Suhling, F., Soendgerath, D., 2006. Voltinism of Odonata: a review. International Journal of Odonatology 9, 1&ndash;44. <a href="https://doi.org/10.1080/13887890.2006.9748261">https://doi.org/10.1080/13887890.2006.9748261 </a></p> <p>Houghton DC. 2012. Biological diversity of the Minnesota caddisflies (Insecta, Trichoptera). Zookeys 189:1-389. <a href="https://doi.org/10.3897/zookeys.189.2043">https://doi.org/10.3897/zookeys.189.2043 </a></p> <p>Vieira, N. K., Poff, N. L., Carlisle, D. M., Moulton, S. R., Koski, M. L., &amp; Kondratieff, B. C. (2006). A database of lotic invertebrate traits for North America. US Geological Survey Data Series, 187, 1-15. <a href="https://pubs.usgs.gov/ds/ds187/">https://pubs.usgs.gov/ds/ds187/</a></p>

opencc-zeroAug 2024View details →
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Invertebrate Phenology

<p>Data on invertebrate phenology from the following sources:</p> <p>Bohannon, G Ryan, Courtney L Johnson, Robert M Jetton, Kelly L F Oten. 2022. Phenology and Voltinism of Emerald Ash Borer (Coleoptera: Buprestidae) in Central North Carolina, Environmental Entomology 51(6):1077&ndash;1085. <a href="https://doi.org/10.1093/ee/nvac088">https://doi.org/10.1093/ee/nvac088 </a></p> <p>Corbet, P.S., Suhling, F., Soendgerath, D., 2006. Voltinism of Odonata: a review. International Journal of Odonatology 9, 1&ndash;44. <a href="https://doi.org/10.1080/13887890.2006.9748261">https://doi.org/10.1080/13887890.2006.9748261 </a></p> <p>Haack, R. A. (1985). Voltinism and Diurnal Emergence-Flight Patterns of Ips calligraphus (Coleoptera: Scolytidae) in Florida. The Florida Entomologist, 68(4), 658&ndash;667. <a href="https://doi.org/10.2307/3494870">https://doi.org/10.2307/3494870 </a></p> <p>Hansen, E.M., Bentz, B.J. and Turner, D.L., 2001. Physiological basis for flexible voltinism in the spruce beetle (Coleoptera: Scolytidae). The Canadian Entomologist, 133(6), pp.805-817. <a href="https://doi.org/10.4039/Ent133805-6">https://doi.org/10.4039/Ent133805-6 </a></p> <p>Ishihara, M., Hayashi, T. and Ohgushi, T., 1999. Life cycle of the willow leaf beetle, Plagiodera versicolora (Coleoptera: Chrysomelidae) in Ishikari (Hokkaido, Japan). Entomological Science, 2(1), pp.57-60. <a href="https://dl.ndl.go.jp/pid/10656183/1/1">https://dl.ndl.go.jp/pid/10656183/1/1 </a></p> <p>Manley, T.R., 1993. Diapause voltinism, and foodplants of Automeris IO (Saturniidae) in the southeastern United States. Journal of the Lepidopterists Society (USA). <a href="https://biostor.org/reference/115995">https://biostor.org/reference/115995 </a></p> <p>Saulich, A.K. and Musolin, D.L., 1996. Univoltinism and its regulation in some temperate true bugs (Heteroptera). Eur. J. Entomol, 93, pp. 507-518.</p> <p>Teder, T., 2020. Phenological responses to climate warming in temperate moths and butterflies: species traits predict future changes in voltinism. Oikos 129, 1051&ndash;1060. <a href="https://doi.org/10.1111/oik.07119">https://doi.org/10.1111/oik.07119 </a></p> <p>Tobin, P.C., Nagarkatti, S., Loeb, G. and Saunders, M.C., 2008. Historical and projected interactions between climate change and insect voltinism in a multivoltine species. Global change biology, 14(5), pp.951-957. <a href="https://doi.org/10.1111/j.1365-2486.2008.01561.x">https://doi.org/10.1111/j.1365-2486.2008.01561.x </a></p> <p>Vickery, V.R., Kevan, D.K.McE., 1985. The insects and arachnids of Canada, Part 14. The Grasshoppers, Crickets, and Related Insects of Canada and Adjecent Regions. Research Branch Agriculture Canada Publication 1777:1-918.</p> <p>Vieira, N. K., Poff, N. L., Carlisle, D. M., Moulton, S. R., Koski, M. L., &amp; Kondratieff, B. C. (2006). A database of lotic invertebrate traits for North America. US Geological Survey Data Series, 187, 1-15. <a href="https://pubs.usgs.gov/ds/ds187/">https://pubs.usgs.gov/ds/ds187/ </a></p> <p>Zeuss, D., Brunzel, S., Brandl, R., 2017. Environmental drivers of voltinism and body size in insect assemblages across Europe. Global Ecology and Biogeography 26, 154&ndash;165. <a href="https://doi.org/10.1111/geb.12525">https://doi.org/10.1111/geb.12525</a></p>

opencc-zeroAug 2024View details →
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Linked collectors and determiners for: Royal BC Museum - Invertebrates Collection.

Natural history specimen data linked to collectors and determiners held within, "Royal BC Museum - Invertebrates Collection". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/34fbcf59-d9bb-47e7-9672-99e13ea8c736">https://bionomia.net/dataset/34fbcf59-d9bb-47e7-9672-99e13ea8c736</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/34fbcf59-d9bb-47e7-9672-99e13ea8c736">https://gbif.org/dataset/34fbcf59-d9bb-47e7-9672-99e13ea8c736</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →
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Linked collectors and determiners for: Evan Waite Invertebrate Collection.

Natural history specimen data linked to collectors and determiners held within, "Evan Waite Invertebrate Collection". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/8b0665a6-e35f-4d57-a493-481111d15f14">https://bionomia.net/dataset/8b0665a6-e35f-4d57-a493-481111d15f14</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/8b0665a6-e35f-4d57-a493-481111d15f14">https://gbif.org/dataset/8b0665a6-e35f-4d57-a493-481111d15f14</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View 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.

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