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Fig. 2. Species accumulation curves for 2012 litter sampling with each facet representing a in Changes in an invaded Florida ant (Hymenoptera: Formicidae) community over 25 years
Fig. 2. Species accumulation curves for 2012 litter sampling with each facet representing a distinct habitat. Curves were generated with incidence data and sites were added randomly to generate these curves. Shaded areas represent the 95% confidence intervals.
Fig. 4 in Modification of a Water Hyacinth sieve and description of Hubbard rakes for sampling small aquatic salamanders
Fig. 4. (A) Flat-edged, (B) short-toothed, and (C) long-toothed Hubbard rake designs. Scale: 30 cm. Photos by Michelle Adcock.
Fig. 1 in Modification of a Water Hyacinth sieve and description of Hubbard rakes for sampling small aquatic salamanders
Fig. 1. (A) Top, (B) side, and (C) bottom of a salamander sieve. Scale: 30 cm. Photos by Michelle Adcock.
Fig. 6 in Modification of a Water Hyacinth sieve and description of Hubbard rakes for sampling small aquatic salamanders
Fig. 6. Examples of Jollyville Plateau Salamander (Eurycea tonkawae) cover objects that are effectively sampled using the salamander sieve and Hubbard rakes. (A) Submerged leaf litter and exposed roots, (B) submerged woody debris, (C) middle of springrun, noting aquatic vegetation with weak roots, as well as the springrun edges which are shallow with emergent vegetation, and (D) deep, aquatic vegetation with durable roots and stems. Photos by Zach Adcock.
Fig. 5 in Modification of a Water Hyacinth sieve and description of Hubbard rakes for sampling small aquatic salamanders
Fig. 5. Hubbard rake demonstration. (A) Cover objects are scooped into the rake receptacle and (B–C) carefully searched for fauna to reveal a salamander. Red arrow identifies a Jollyville Plateau Salamander (Eurycea tonkawae) trapped in the rake. Photos by Zach Adcock.
Fig. 3 in Modification of a Water Hyacinth sieve and description of Hubbard rakes for sampling small aquatic salamanders
Fig. 3. (A) Top, (B) side, and (C) back of a Hubbard rake showing receptacle backend with drain holes and holes for window screen attachment using zip ties. Scale: 30 cm. Photos by Michelle Adcock.
Fig. 2 in Modification of a Water Hyacinth sieve and description of Hubbard rakes for sampling small aquatic salamanders
Fig. 2. Salamander sieve demonstration. (A) Cover objects are scooped into the sieve using a dustpan and (B) carefully searched for fauna to (C–D) reveal a salamander. Red arrows identify a Jollyville Plateau Salamander (Eurycea tonkawae) trapped in the sieve. Photos by Madison Torres (A) and Zach Adcock (B–D).
Fig. 2. Minimum spanning network for haemosporidian mitochondrial DNA cytochrome b haplotypes identified from blood samples collected from Emperor Geese inhabiting the YukonKuskokwim Delta, Alaska during 2006–2016 in Negligible evidence for detrimental effects of Leucocytozoon infections among Emperor Geese (Anser canagicus) breeding on the Yukon-Kuskokwim Delta, Alaska
Fig. 2. Minimum spanning network for haemosporidian mitochondrial DNA cytochrome b haplotypes identified from blood samples collected from Emperor Geese inhabiting the YukonKuskokwim Delta, Alaska during 2006–2016. Circles are drawn proportional to the frequency at which haplotypes were detected. Shading represented the assignment of representative sequences for haplotypes to L. simondi clade A (teal), L. simondi clade B (orange), or other Leucocytozoon (grey) in phylogenetic analyses (see Results and Fig. 5). Lines are drawn proportional to genetic distance and are labeled per the number of mutations represented (except single nucleotide polymorphisms which are unlabeled). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Molecular characterization of Lipoptena cervi from environmental samples collected in Poland
Fig. 1. Map of Poland with highlighted voivodships where Lipoptena cervi samples were collected. Legend: GP - Greater Poland voivodeship; KP - Kuyavia-Pomerania voivodeship; L - Lubusz voivodeship; P - Pomerania voivodeship; WM - Warmia-Masuria voivodeship.
Fig. 2 in Molecular characterization of Lipoptena cervi from environmental samples collected in Poland
Fig. 2. Phylogenetic analysis of the rRNA 16S gene in the examined sequences of Lipoptena cervi from the studied voivodships. Legend: Phylogenetic topology for the maximum likelihood analysis of the partial rRNA 16S gene sequence of Lipoptena cervi. The unique haplotypes identified in the study are labeled with the corresponding sequence identification numbers. Bootstrap confidence values for branching reliability were calculated in 10,000 replicates. G - Greater Poland voivodeship; KP - KuyaviaPomerania voivodeship; L - Lubusz voivodeship; P - Pomerania voivodeship; WM - Warmia-Masuria voivodeship.
Fig. 3 in Molecular characterization of Lipoptena cervi from environmental samples collected in Poland
Fig. 3. Phylogenetic analysis of the rRNA 16S gene in Lipoptena cervi relative to other sequences. Legend: Phylogenetic topology for the maximum likelihood analysis of the partial rRNA 16S gene sequence of Lipoptena cervi. The unique haplotypes identified in this study are labeled with the corresponding sequence identification numbers. The reference sequences available in GenBank are indicated in the tree. Bootstrap confidence values for branching reliability were calculated in 10,000 replicates.
Fig. 1. Location and vegetation types where small mammals were sampled between November 2012 and September 2013 in Small mammals from the lasting fragments of Araucaria Forest in southern Brazil: a study about richness and diversity
Fig. 1. Location and vegetation types where small mammals were sampled between November 2012 and September 2013, at Piraí do Sul National Forest, ParanÁ state, Brazil (A, Pine Plantation; B, Riparian Forest; C, Araucaria Plantation; D, Natural Regeneration forest; E, High Altitude forest). Original distribution of Atlantic Forest biome (light gray) and Araucaria forest (dark gray).
Figs 2, 3 in Native bee fauna of tomato crops: a comparison of active sampling and pan trapping methods
Figs 2, 3. Richness (Fig. 2) and abundance (Fig. 3) of flower visiting bees sampled bY different pan trap colors in nine tomato crops in GoiÁs state, BraZil. Boxplots represent means while vertical lines represent the 95% confidence interval. Each point represents value for each sampling unit.
Fig. 9 in Biodiversity of museum and bulk field samples compared: The Chiampo sponge fauna (Eocene, Lessini Mountains, Italy)
Fig. 9. Comparison between species frequency of museum collections (data from Frisone et al. 2016) and bulk sampling (this study). Error bars denote binomial standard errors of percentages.
Fig. 8 in Biodiversity of museum and bulk field samples compared: The Chiampo sponge fauna (Eocene, Lessini Mountains, Italy)
Fig. 8. Distribution of sponge genera from museum collections (data from Frisone et al. 2016) and bulk sampling (this study). Error bars denote binomial standard errors of percentages.
Fig. 7 in Biodiversity of museum and bulk field samples compared: The Chiampo sponge fauna (Eocene, Lessini Mountains, Italy)
Fig. 7. Families and relative abundances frequencies from museum collections (data from Frisone et al. 2016) and bulk sampling (this study). Error bars denote binomial standard errors of percentages.
Fig. 6 in Biodiversity of museum and bulk field samples compared: The Chiampo sponge fauna (Eocene, Lessini Mountains, Italy)
Fig. 6. Comparison between frequency of museum collections (data from Frisone et al. 2016) and bulk field sampling (this study) at the ordinal level. Error bars denote binomial standard errors of percentages.
Fig. 5 in Biodiversity of museum and bulk field samples compared: The Chiampo sponge fauna (Eocene, Lessini Mountains, Italy)
Fig. 5. Distribution of species richness (number of taxa) and species abundance (number of individuals per taxon) among classes.
Fig. 11 in Biodiversity of museum and bulk field samples compared: The Chiampo sponge fauna (Eocene, Lessini Mountains, Italy)
Fig. 11. Rank-abundance distribution of bulk samples (A) and museum collection (Whittaker plots) (B). Y axis shows species abundance; X axis ranks each species in order from most to least abundant. Black dots represent species.
Fig. 2 in Biodiversity of museum and bulk field samples compared: The Chiampo sponge fauna (Eocene, Lessini Mountains, Italy)
Fig. 2. Location (B) and geological map (A) of the study area (Verona and Vicenza provinces, Northern Italy), modified from http://gisgeologia.regione. veneto.it/, author: Regione Veneto, Sezione Geologia e Georisorse, and released under the Italian Open Data License 2.0 (https://www.dati.gov.it/content/ italian-open-data-license-v20). Outline of the Lessini Shelf during the Eocene modified from Bosellini (1989). The sponge-bearing outcrop is indicated by the white star near Chiampo. Cf, Castelvero fault; SVf, Schio-Vicenza fault; Pf, Pedemontana thrust fault.
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.