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Fig. 2 in A newly established non-native praying mantis species, Liturgusa maya (Mantodea: Liturgusidae) in Florida, USA, and a key to Florida mantis genera
Fig. 2. Liturgusa maya specimens were collected in and near Long Key Natural Area and Nature Center (red star on large map) in Davie, Florida. The inset map indicates the proximity of the 2 collection sites (adjacent red stars) to National Parks and Preserves. (Maps modified from www.freemapsonline.com and www.nps.gov).
Fig. 1 in A newly established non-native praying mantis species, Liturgusa maya (Mantodea: Liturgusidae) in Florida, USA, and a key to Florida mantis genera
Fig. 1. Habitus images of Liturgusa maya collected in Long Key Natural Area and Nature Center, Davie, Florida. (A) Adult female (scale = 1 cm); (B) ootheca produced by captive female (scale = 1 mm) (photographs by Rick Wherley).
FIGURE 6 in Adjustments in population and reproductive dynamics of native and non-native congeneric species during 26 years after invasion
FIGURE 6 | Stages of gonadal maturation at each age class for individuals of Serrasalmus marginatus (non-native; left) and S. maculatus (native; right) piranha species in the upper Paraná River floodplain, at each sampled time-period. The classification was based on Brown-Peterson et al. (2011). A. and B. 1986–1988: first time-period; C. and D. 2000–2002: second time-period; E. and F. 2010–2012: third timeperiod. CPUE values are fewer when compared to total CPUE values since individuals without standard length, sex and maturation stage were not considered in the estimation of age.
FIGURE 3 in Adjustments in population and reproductive dynamics of native and non-native congeneric species during 26 years after invasion
FIGURE 3 | Age frequencies of both non-native (left) and native species (right) for each sex and each sampled time-period in the upper Paraná River floodplain. A. and B. 1986–1988: first time-period; C. and D. 2000–2002: second time-period; E. and F. 2010–2012: third time-period. CPUE values are fewer when compared to total CPUE values since individuals without standard length and sex were not considered in the estimation of age.
FIGURE 1 in Adjustments in population and reproductive dynamics of native and non-native congeneric species during 26 years after invasion
FIGURE 1 | Map of the upper Paraná River floodplain showing its main tributaries. Sampling sites are marked: rivers and channels (circles), connected (squares), and isolated (triangles) floodplain lakes. Color of symbols are for Paraná (black), Ivinheima (white), and Baía (grey) rivers.
Data & Analysis Script for: Phylogenetic relatedness to native congeners drives insect abundance and diversity hosted by non-native trees
<p>The dataset contains all necessary data to reproduce the findings presented in Schweiger et al. 2023 - Phylogenetic relatedness to native congeners drives insect abundance and diversity hosted by non-native trees (submitted).</p> <p>The code necessary to reproduce the findings is included within this repository. The code contains comments. Please note, if you want to reproduce the findings you will have to change file path information matching your personal computer to be able to re-run the code.</p> <p>This data includes the biodiversity raw data collected for the manuscript. It <strong>does not </strong>include data used to calculate geographic, climatic or phylogenetic distances, as these data are freely available and necessary information to reproduce calculations are given within the Material & Methods section.</p> <p>All data is provided within one Excel file. Please, pay attention to the provided ReadMe sheet containing metadata information on the dataset.</p> <p>Please carefully read provided information within ReadMe, Metadata and Code description.</p>
Fig. 1 in Use of crape myrtle, Lagerstroemia (Myrtales: Lythraceae), cultivars as a pollen source by native and non-native bees (Hymenoptera: Apidae) in Quincy, Florida
Fig. 1. Cultivar positions in crape myrtle experimental block. Each small circle is 1 crape myrtle. Each quadrat has 4 crape myrtle plants of the same cultivar. Legend for cultivar abbreviations: Apalach = 'Apalachee', Bwhite = 'Byers Wonderful White', Cbeau = 'Carolina Beauty', Natch = 'Natchez', and Tuske = 'Tuskegee'.
Figure 3 in Phylogeographic affinities, distribution and population status of the non-native Asian pond mussels Sinanodonta lauta and S. woodiana in Kazakhstan
Figure 3. Shells of Sinanodonta lauta and the temperate invasive lineage of S. woodiana from Kazakhstan. A-C) S. lauta, irrigation channel of the Ili River near Topar settlement [specimens RMBH biv764_7, RMBH biv763_1, and RMBH biv763_5, respectively]. D-F) Temperate invasive lineage of S. woodiana, Kapchagay Reservoir [specimens RMBH biv762_3, RMBH biv762_5, and RMBH biv762_2, respectively]. Scale bar = 20 mm. (Photo: Ekaterina Konopleva).
Figure 4 in Phylogeographic affinities, distribution and population status of the non-native Asian pond mussels Sinanodonta lauta and S. woodiana in Kazakhstan
Figure 4. Shell morphometry and age of Sinanodonta lauta (N = 20) and the temperate invasive lineage of S. woodiana (N = 10) from Kazakhstan. A) Shell length vs shell height scatterplot. B) Shell length vs shell width scatterplot. C) Shell length vs age scatterplot. D) Shell elongation index vs shell convexity index scatterplot.
Figure 2 in Phylogeographic affinities, distribution and population status of the non-native Asian pond mussels Sinanodonta lauta and S. woodiana in Kazakhstan
Figure 2. Habitat of a viable population of Sinanodonta lauta in Kazakhstan: irrigation channel of the Ili River near Topar settlement. (Photo: Ilya Vikhrev).
Figure 1 in Phylogeographic affinities, distribution and population status of the non-native Asian pond mussels Sinanodonta lauta and S. woodiana in Kazakhstan
Figure 1. Ranges and population status of Sinanodonta lauta and the temperate invasive lineage of S. woodiana in Middle Asia. The circles indicate recent well-established populations, and the squares indicate old unconfirmed records of S. lauta (green) and S. woodiana (red). The green star indicates the site of putative initial introduction of S. lauta to Kazakhstan between 1961 and 1971. The color filling indicates freshwater basins, in which non-native populations of S. lauta and S. woodiana (light green) and S. woodiana (pink) were established. The species occurrence data are presented in Table 1.
Figure 5 in Phylogeographic affinities, distribution and population status of the non-native Asian pond mussels Sinanodonta lauta and S. woodiana in Kazakhstan
Figure 5. Median joining networks of the COI sequences of Sinanodonta spp. The list of sequences is given in Table 2. The red numbers near branches indicate the numbers of nucleotide substitutions between haplotypes. Size of circles corresponds to the number of available sequences for each haplotype (smallest circle = 1 sequence). A) Temperate invasive lineage of Sinanodonta woodiana (N = 72). B) S. lauta (N = 24).
Duhumbi Phonology: Origin of non-native and marginal phonemes
<p>These files present the origins of the Duhumbi non-native and marginal consonant and vowel phonemes a supplementary material to section 2.2.1, 2.2.2 and 4.10.1 and 4.10.2 of the Duhumbi grammar.</p> <p>This material is made freely available to everyone for informative or scientific purposes as long as the source (this DOI) / the collectors are properly credited. Please note that use of the material for commercial purposes <em><strong>of any kind</strong>, which includes conversion into commercial audio-visual media (documentaries etc.), storage and dissemination through sites that require registration & payment for access, or sites that rely on advertisement (including YouTube) </em>is <strong>not</strong> permitted without <strong>specific written consent</strong> from the speakers and their community, obtained through the collectors of the material. By downloading our material, you agree to these restrictions.</p> <p>This data set falls under the Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license. This license lets you remix, tweak, and build upon this work non-commercially, as long as you credit us and license your new creations under the identical terms. License Deed on <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">https://creativecommons.org/licenses/by-nc-sa/4.0/</a>. Legal Code on <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode">https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode</a>.</p> <p>Tim Bodt: bodttim (at) gmail (dot) com</p>
Spread of the non-native anemone Anemonia alicemartinae Häussermann & Försterra, 2001 along the Humboldt-current large marine ecosystem: an ecological niche model approach
<p>Environmental variables and script</p>
Fig. 2. A in Digestive tract nematode infections in non-native invasive American mink with the first molecular identification of Molineus patens
Fig. 2. A phylogram based on the small subunit of 18S rRNA nuclear gene fragments for the 58 sequences obtained from the parasites isolated from different parts of the American mink digestive tract: s – stomach; d – duodenum; si – small intestine (bold – Aonchtheca putorii, navy blue and bold – Molineus patens) and sequences achieved from GeneBank (http://www.ncbi.nlm.nih. gov/) (in italics) of the other 8 Trichuridae species (phylum Nematoda). All newly achieved sequences are in bold (details in Appendix 1, Fig. S2). The evolutionary relationships of the taxa were implied using the maximum likelihood estimation method (Tamura and Nei, 1993) embedded in MEGA6 software (Tamura et al., 2013). The tree with the highest log likelihood (– 1262.9129) is shown. The evolutionary distances were computed using the maximum composite likelihood method (Tamura et al., 2004) and are expressed as a number of base substitutions per site. All positions containing gaps and missing data were eliminated. There were a total of 456 positions in the final dataset.
Fig. 1 in Digestive tract nematode infections in non-native invasive American mink with the first molecular identification of Molineus patens
Fig. 1. Relation between the number of nematodes in the stomach of American mink and the number of nematodes in other parts of the digestive tract (duodenum, small intestine, and large intestine).
Fig. 5. Tetramorium lanuginosum Mayr, 1870. A in New records of non-native ants (Hymenoptera: Formicidae) in four African countries
Fig. 5. Tetramorium lanuginosum Mayr, 1870. A, head in full face view; B, habitus in lateral view. © April Nobile, CASENT0125328, Antweb.org.
Fig. 4 in New records of non-native ants (Hymenoptera: Formicidae) in four African countries
Fig. 4. Tetramorium bicarinatum (Nylander, 1846). A, head in full face view; B, habitus in lateral view. © April Nobile, CASENT0102404, Antweb.org.
Fig. 3 in New records of non-native ants (Hymenoptera: Formicidae) in four African countries
Fig. 3. Solenopsis globularia (Smith, F., 1858). A, head in full face view; B, habitus in lateral view. © April Nobile, CASENT0104814, Antweb.org.
Fig. 6 in New records of non-native ants (Hymenoptera: Formicidae) in four African countries
Fig. 6. Trichomyrmex destructor (Jerdon, 1851). A, head in full face view; B, habitus in lateral view. © April Nobile, CASENT0125190, Antweb.org.
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.