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Figure 2 in Using deep-learning for automatic identification of images of marine benthic macro-invertebrate bycatch: a proof of concept

Figure 2. – Three images of organisms obtained by cropping images of lots; from left to right: Chalinidae (Porifera), Polyclinidae (Chordata), Hormatidae (Cnidaria).

Figure 3 in Using deep-learning for automatic identification of images of marine benthic macro-invertebrate bycatch: a proof of concept

Figure 3. – Image of a batch of macro-invertebrate bycatch organisms from Kerguelen Exclusive Economical Zone (Poker 4 survey, 2017), including corals, a crinoïd, an ophiurid, a sea urchin and a brachiopoda; organisms are incomplete and have been quickly spread out over a small plate to take the picture.

Figure 6 in Using deep-learning for automatic identification of images of marine benthic macro-invertebrate bycatch: a proof of concept

Figure 6. – Example of detection and classification obtained with an image including an Ophiuroid, a piece of coral and a sea star with network 2; red squares and annotations have been provided by the computer with no human action.

Figure 5 in Using deep-learning for automatic identification of images of marine benthic macro-invertebrate bycatch: a proof of concept

Figure 5. – Example of detection and classification obtained with an image including Ascidians and a sea star with network 2; red squares and annotations have been provided by the computer with no human action.

Fig. 4 in The first identification of fossil Mesophyllum in accordance to the modern taxonomic concepts in coralline algae

Fig. 4. Coralline alga Mesophyllum crassiusculum (Foslie, 1902) Lebednik, 2004 from early Serravallian, Miocene, Modrý Majer, Slovakia. A. Carposporophyte, NHM B1858 (TS 918-7), carposporangial conceptacle with central pedestal (arrow). B. Bi/tetrasporophyte, NHM B1857/2a (counterpart of the TS 918-1). B1. Multiporate sporangial conceptacle, arrows point to the rounded epithallial cells located at the top of conceptacle roof. Rounded cell at the margin of the pore canal marks the surface of the roof. Adjacent pore canal cells are therefore considered as rosette cells. Note that rosette cells are not sunken. B2. Asexuate conceptacle with roof filaments and pore canal filaments consisting of at least 6 cells, arrows point to thinner (black arrow) and wider (white arrow) pore canal cells. C. Bi/tetrasporophyte, NHM B1857/1a (TS 918-1). C1. Asexuate multiporate conceptacle with roof filaments consisting of up to 7 cells. C2. Detail of C1 with pore lining cells (arrows), the cells are same or wider (top of the pore canal) than adjacent roof cells. C3. Embedded asexuate conceptacles (arrow). Note chambers filed with adventitious cells. The roofs are convex to flat, lacking peripheral rim.

Fig. 5 in The first identification of fossil Mesophyllum in accordance to the modern taxonomic concepts in coralline algae

Fig. 5. Coralline alga Mesophyllum crassiusculum (Foslie, 1902) Lebednik, 2004 bi/tetrasporophyte, early Langhian, Miocene, Kosihovce, Slovakia. Schaleková's collection, NHM B1859 (TS IIIb455). A1. Thallus morphology, growth form is encrusting with weak protuberances. A2. Coaxial to non-coaxial hypothallus (arrow). A3. Epithallial cells rounded or flattened (arrow). A4. Lateral cell fusions of the cells in adjacent filaments (arrow). A5. Pore canal anatomy, lining cells are same as adjacent roof cells (black arrow) or thinner near the base (white arrow). A6. Pore canal anatomy, lining cells are thinner than adjacent roof cells in some portions of the pore canal filaments. Arrows point to the center of the pore canal.

Fig. 3 in The first identification of fossil Mesophyllum in accordance to the modern taxonomic concepts in coralline algae

Fig. 3. Coralline alga Mesophyllum crassiusculum (Foslie, 1902) Lebednik, 2004 from early Serravallian, Miocene, Modrý Majer, Slovakia, male gametophyte, NHM B1857/1b (TS 918-1). A. Conceptacles of the type 1 (Johansen, 1981) were protruding above thallus surface during their maturity. Note the coaxial arrangment of the hypothallus; arrow points to the coaxial hypothallus. B. Conceptacle filled with material of unknown origin (arrow).

Fig. 2 in The first identification of fossil Mesophyllum in accordance to the modern taxonomic concepts in coralline algae

Fig. 2. Corallinae alga Mesophyllum crassiusculum (Foslie, 1902) Lebednik, 2004 from early Serravallian, Miocene, Modrý Majer, Slovakia. A. Bi/tetrasporophyte and male gametophyte, NHM B1857/1a and NHM B1857/1b (TS 918-1), respectively. An asexuate (tetra/bisporangial) plant (white arrow) overgrows a fragment of scleractinian coral colony. Growth form of coralline alga is encrusting. Male gametophyte overgrows tetrasporophyte (black arrow). B. Carposporophyte, NHM B1858 (TS 918-7). Carpogonial-carposporangial plant of M. crassiusculum (black arrow) overgrows a protuberant rhodolith of Phymatolithon calcareum (Pallas, 1766) (white arrow). Growth form of M. crassiusculum is encrusting and without protuberances. C. Bi/tetrasporophyte, NHM B1857/1a (TS 918-1). C1. Applanately branching thallus (arrows). C2. Pseudoparenchymatous thallus with coaxially to non-coaxially arranged hypothallus. Arrow points to the portion where coaxial hypothallus is best visible. C3. Magnified portion of the thallus from C2, arrows point to cell fusions in hypothallus and in the perithallus. C4. Flattened epithallial cells above meristematic cells located at the top of the embedded conceptacle.

opencc-zeroJan 2024View details →

Linked collectors and determiners for: Unexpected diversity of Lacon Laporte, 1838 (Coleoptera: Elateridae: Agrypninae) in the Levant: revised species concepts, new species, and an identification key.

Natural history specimen data linked to collectors and determiners held within, "Unexpected diversity of Lacon Laporte, 1838 (Coleoptera: Elateridae: Agrypninae) in the Levant: revised species concepts, new species, and an identification key". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/c6d3d19c-627e-425f-8824-193a7213994a">https://bionomia.net/dataset/c6d3d19c-627e-425f-8824-193a7213994a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/c6d3d19c-627e-425f-8824-193a7213994a">https://gbif.org/dataset/c6d3d19c-627e-425f-8824-193a7213994a</a>. Formatted as a Frictionless Data package.

dryad36/100

The soundscape of swarming: Proof of concept for a non-invasive acoustic species identification of swarming Myotis bats

Bats emit echolocation calls to orientate in their predominantly dark environment. Recording of species-specific calls can facilitate species identification, especially when mist-netting is not feasible. However, some taxa, such as Myotis bats are hard to distinguish acoustically. In crowded situations where calls of many individuals overlap the subtle differences between species are additionally attenuated. Here we sought to non-invasively study the phenology of Myotis bats during autumn swarming at a prominent hibernaculum. To do so we recorded sequences of overlapping echolocation calls (N=564) during nights of high swarming activity and extracted spectral parameters (peak frequency, start frequency, spectral centroid) and Linear Frequency Cepstral Coefficients (LFCCs) which additionally encompass the timbre (vocal 'colour') of calls. We used this parameter combination in a stepwise discriminant function analysis (DFA) to classify the call sequences to species level. A set of previously identified call sequences of single flying Myotis daubentonii and Myotis nattereri, the most common species at our study site, functioned as a training set for the DFA. 90.2% of the call sequences could be assigned to either M. daubentonii or M. nattereri, indicating the predominantly swarming species at the time of recording. We verified our results by correctly classifying a second set of previously identified call sequences with an accuracy of 100%. In addition, our acoustic species classification corresponds well to the existing knowledge on swarming phenology at the hibernaculum. Moreover, we successfully classified call sequences from a different hibernaculum to species level and verified our classification results by capturing swarming bats while we recorded them. Our findings provide the basis for a new non-invasive acoustic monitoring technique that analyses "swarming soundscapes" by combining classical acoustic parameters and LFCCs, instead of analysing single calls. Our approach for species identification is especially beneficial in situations with multiple calling individuals, such as autumn swarming.

opencc-zeroOct 2022View details →

dryad36/100

The soundscape of swarming: Proof of concept for a non-invasive acoustic species identification of swarming Myotis bats

Open the record for dataset details and reuse information.

publicOct 2022View details →

FIGURE 194 in Unexpected diversity of Lacon Laporte, 1838 (Coleoptera: Elateridae: Agrypninae) in the Levant: revised species concepts, new species, and an identification key

FIGURE 194. Distribution of Lacon spp. in the mainland Levant. Dots representing L. candezei in Lebanon and Syria are only approximate since there are no exact data for these countries.

FIGURES 188–193 in Unexpected diversity of Lacon Laporte, 1838 (Coleoptera: Elateridae: Agrypninae) in the Levant: revised species concepts, new species, and an identification key

FIGURES 188–193. Habitat and live specimens of Lacon spp. 188, Pinus pinea ecosystem at Arsoun, Lebanon, habitat of L. ganglbaueri and L. punctatus. 189, L. punctatus. 190, Cedrus lebani ecosystem at Tannourine Cedar Forest Nature Reserve, Lebanon, habitat of L. drusus. 191, L. drusus. 192, macchia at Erateini, Greece, habitat of L. graecus. 193, L. graecus.

FIGURES 181–187 in Unexpected diversity of Lacon Laporte, 1838 (Coleoptera: Elateridae: Agrypninae) in the Levant: revised species concepts, new species, and an identification key

FIGURES 181–187. Morphology of Lacon graecus. 181, habitus, male from Turkey; 182, habitus, female from Greece; 183, paratype, male, aedeagus. Female from Greece: 184, abdominal tergite VIII; 185, abdominal sternite VIII; 186, ovipositor; 187, sclerites of bursa copulatrix. Scale bar = 2.0 mm (Figs 181, 182), 1.0 mm (Figs 185, 186) 0.5 mm (Figs 183, 184, 187).

FIGURES 152–158 in Unexpected diversity of Lacon Laporte, 1838 (Coleoptera: Elateridae: Agrypninae) in the Levant: revised species concepts, new species, and an identification key

FIGURES 152–158. Morphology of Lacon qatanensis sp. nov., holotype, male. 152, habitus, dorsal view; 153, habitus, lateral view; 154, antenna; 155, pronotum, dorsal view; 156, scutellar shield; 157, detail of elytral surface; 158, aedeagus. Scale bars = 2.0 mm (Figs 152, 153), 1.0 mm (Fig. 155), 0.5 mm (Figs 154, 158), 0.2 mm (Fig. 156); Fig. 157 not to scale.

FIGURES 36–51 in Unexpected diversity of Lacon Laporte, 1838 (Coleoptera: Elateridae: Agrypninae) in the Levant: revised species concepts, new species, and an identification key

FIGURES 36–51. Morphology of Lacon candezei. Habitus: 36–37, lectotype, male, dorsal and lateral view, respectively; 38, male from Jordan, dorsal view; 39, female from Jordan, dorsal view. Pronotum, dorsal view: 40, lectotype, male; 41, male from Jordan; 42, female from Jordan. 43, lectotype, male, detail of elytral surface. Male genitalia: 44, lectotype; 45, specimen from Jordan; 46, specimen from Israel. Female pregenital segments and genitalia of specimen from Jordan: 47, tergite VIII; 48, sternite VIII; 49, ovipositor; 50, sclerites of bursa copulatrix. 51, female from Israel, sclerites of bursa copulatrix. Scale bars = 2.0 mm (Figs 36–39), 1.0 mm (Figs 40–42, 48–49), 1.5 mm (Figs 44–47), 0.2 mm (Figs 50–51); Fig. 43 not to scale.

FIGURES 80–87 in Unexpected diversity of Lacon Laporte, 1838 (Coleoptera: Elateridae: Agrypninae) in the Levant: revised species concepts, new species, and an identification key

FIGURES 80–87. Habitus of Lacon lithophilus. 80–81, syntype, male, dorsal and lateral view, respectively; 82–83, male from Egypt, dorsal and lateral view, respectively; 84–85, holotype of L. freidbergi, male, dorsal and lateral view, respectively; 86, female from Egypt, dorsal view; 87, female paratype of L. freidbergi, dorsal view. Scale bars = 2.0 mm.

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Figure 7 in Using deep-learning for automatic identification of images of marine benthic macro-invertebrate bycatch: a proof of concept

Figure 7. – Example of detection and classification obtained with an image including Crinoïds, a Gastropod and pieces of seaweed with network 2; red squares and annotations have been provided by the computer with no human action.

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Development of Chemical Categories for Per- and Polyfluoroalkyl Substances (PFAS) and the Proof-of-Concept Approach to the Identification of Potential Candidates for Tiered Toxicological Testing and Human Health Assessment

Supplementary information for the manuscript and raw data files underpinning the analysis are available here as compressed tar files.  Please cite: Patlewicz G., Judson R., Williams A. J., Butler T., Barone Jr. S ., Carstens K. E., Cowden J., Dawson J. L., Degitz S. , Fay K., Henry T. R., Lowit A., Padilla S., Paul Friedman K., Phillips M. B., Turk D., Wambaugh J., Wetmore B., Thomas R.S. Development of Chemical Categories for Per- and Polyfluoroalkyl Substances (PFAS) and the Proof-of-Concept Approach to the Identification of Potential Candidates for Tiered Toxicological Testing and Human Health Assessment. Computational Toxicology 2024 <a href="https://doi.org/10.1016/j.comtox.2024.100327" rel="nofollow">https://doi.org/10.1016/j.comtox.2024.100327</a>