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Figure 10 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 10 Comparison of species richness rankings of the top 10 families collected and identified of Mato Grosso, Mato Grosso do Sul, Rondônia, the three states combined, and Brazil. Horizontal lines and bars represent equal ranking; each family is represented by a different color.
Figure 7 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 7 Diversity of genera in each Diptera family in the material collected and identified of the three states combined (Mato Grosso, Mato Grosso do Sul, and Rondônia) in the SISBIOTA-Diptera.
Figure 13 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 13 Number of articles resulting from the SISBIOTA-Diptera published between 2012 and 2022 (2023 is still in course, so it was not included in the graph).
Figure 12 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 12 Number of articles per Diptera families resulting from the SISBIOTA-Diptera published between the first publication in 2012 and 2022.
Figure 4 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 4 Mist net for trapping and examining bats for collecting bat flies (Streblidae). (a) setting up a mist net in a flooded area in the Pantanal, in Poconé, Mato Grosso; (b) mist net set on the flooded area, indicated with red arrows, in Poconé, Mato Grosso; (c) mist net set on drier area, in the Pantanal, in Corumbá, Mato Grosso do Sul; (d) Noctilio albiventris Desmarest, 1818 (Chiroptera: Noctilionidae) trapped with mist net and examined for bat flies, in Corumbá, Mato Grosso do Sul.
Figure 3 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 3 Different types of Malaise traps installed in various sampling sites. (a) in a dry, open area of vegetation in Poconé, Mato Grosso; (b) in a shaded area in open vegetation in Porto Murtinho, Mato Grosso; (c) in a shaded area of forest along a stream in Cacaulândia, Rondônia; (d) in a shaded area of forest in Cacaulândia, Rondônia; (e) classic Malaise trap supported by a metallic structure set up in rocky formation with shrubby vegetation in Chapada dos Guimarães, Mato Grosso; (f) six-meter-long Malaise trap in open vegetation in Poconé, Mato Grosso; (g) six-meter-long Malaise trap in open vegetation in Porto Murtinho, Mato Grosso do Sul.
Figure 2 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 2 Collecting techniques used in the SISBIOTA-Diptera long-term survey. (a) CDC light trap; (b) manual collecting of cecidomyiid galls; (c) drift net; (d–e) classic light trap, with a white vertical sheet and different types of lights; (f–g) McPhail trap, filled with fermented fruit; (h) yellow and white pan traps near temporary ponds; (i) Pennsylvania light trap; (j) Shannon trap, baited with pieces of rotten fish or chicken; (k–m) three different types of Van Sommeren-Rydon (also known as Nymphalidae butterfly trap), modified to collect flies, baited with fermented fruit or decomposing fish; (n) net sweeping of vegetation.
Figure 14 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 14 Outreach pamphlet of the SISBIOTA-Diptera, produced in 2015, highlighting the main results of 11 out of over 60 families reported from the material collected during the project.
Figure 8 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 8 Diversity of species in each Diptera family in the material collected and identified of the three states combined (Mato Grosso, Mato Grosso do Sul, and Rondônia) in the SISBIOTA-Diptera.
Figure 6 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 6 Diptera collected in the SISBIOTA-Diptera,habitus. (a) Tabanus importunus Wiedemann, 1828 (Tabanidae), female, Bodoquena, MS; (b) Rachicerus carrerai Pujol-Luz, 2019 (Xylophagidae), male, Bodoquena, MS; (c) Chrysotus sp. (Dolichopodidae), male, Corumbá, MS; (d) Empidini (Empididae), male, Corumbá, MS; (e) Eudorylas sp. (Pipunculidae), male, Corguinho, MS; (f) Palpada scutellaris (Fabricius, 1805) (Syrphidae), female, Porto Velho, RO; (g) Gaurax sp. (Chloropidae), male, Chapada dos Guimarães, MT; (h) Physegenua sp. (Lauxaniidae), male, Aquidauana, MS; (i) Glyphidops etele Aczél, 1961 (Neriidae), female, Cacaulândia, RO; (j) Phytobia cacaulandia Sousa & Couri, 2018 (Agromyzidae), male, Cacaulândia, RO; (k) Ropalomera sp. (Ropalomeridae), female, Chapada dos Guimarães, MT; (l) Pterocalla sp. (Ulidiidae), male, Porto Murtinho, MS; (m) Senopterina macularis (Fabricius, 1805) (Platystomatidae), male, Bodoquena, MS; (n) Trupanea bonariensis (Brèthes, 1908) (Tephritidae), female, Aquidauana, MS; (o) Noctiliostrebla morena Alcantara, Graciolli & Nihei, 2019 (Streblidae), male, Corumbá, MS; (p) Fannia heydenii (Wiedemann, 1830) (Fanniidae), female, Bodoquena, MS; (q) Polietina prima (Couri & Machado, 1990) (Muscidae), female, Cacaulândia, RO; (r) Chloroprocta idioidea (Robineau-Desvoidy, 1830) (Calliphoridae), male, Cacaulândia, RO; (s) Mesembrinella randa (Walker, 1849) (Mesembrinellidae), male, Monte Negro, RO; (t) Helicobia chapadensis Tibana & Lopes, 1984 (Sarcophagidae), male, Chapada dos Guimarães, MT; (u) Euepalpus flavicauda Townsend, 1908 (Tachinidae), male, Aquidauna, MS. Scale bar = 1 mm.
Figure 5 in The SISBIOTA-Diptera Brazilian Network: A long-term survey of Diptera from unexplored Brazilian Western Arc of Amazon, Cerrado, and Pantanal
Figure 5 Diptera collected in the SISBIOTA-Diptera, habitus. (a) Nephrotoma sp. (Tipulidae), female, Bodoquena, MS; (b) Clogmia sp. (Psychodidae), male, Poconé, MT; (c) Stenochironomus sp. (Chironomidae), male, Aquidauana, MS; (d) Olbiogaster sp. (Anisopodidae), female, Bodoquena, MS; (e) Enicoscolus cf.hardy Fitzgerald, 1997 (Bibionidae), female, Bodoquena, MS; (f) Rhipidita sp. (Ditomyiidae), male, Monte Negro, RO; (g) Diadocidia sp. (Diadocidiidae), female, Porto Velho, RO; (h) Aphrastomyia shannoni Lane, 1956 (Mycetophilidae), male, Porto Velho, RO; (i) Placoceratias gorgasi Matile, 1990 (Keroplatidae), male, Chapada dos Guimarães, MT; (j) Lygistorrhina barrettoi Lane, 1956 (Lygistorrhinidae), male, Bodoquena, MS; (k) Insulestremia sinclairi Jaschhof, 2004 (Cecidomyiidae), male, Bodoquena, MS; (l) Amydrostylus triadicophallus Lamas et al. 2015 (Mythicomyiidae), male, Porto Murtinho, MS; (m) Cerozodus platylobus Camargo, Vieira & Rafael, 2022 (Asilidae), male, Cuiabá, MT; (n) Anthrax trimaculatus Macquart, 1848 (Bombyliidae), female, Porto Murtinho, MS; (o) Messiasia zikani d'Andretta, 1951 (Mydidae), female, Bodoquena, MS; (p) Cerocatus sp. (Therevidae), female, Corguinho, MS; (q) Chrysopilus kafkai Cegolin & Santos, 2021 (Rhagionidae), male, Bodoquena, MS (modified from Cegolin et al. 2020; (r) Pantophthalmus tabaninus Thunberg, 1919 (Pantophthalmidae), female, Porto Velho, RO; (s) Pseudocyphomyia mimetica Kertész, 1916 (Stratiomyidae), male, Monte Negro, RO; (t) Solva sp. (Xylomyidae), female, Rio Verde, MS. Scale bar = 1 mm.
Figure 4. A neighbour-net phylogenetic network constructed using 106 in Evolutionary relationships among several species from the genus Cricotopus (Diptera: Chironomidae): What about Turkish representatives of this genus?
Figure 4. A neighbour-net phylogenetic network constructed using 106 COI sequences of the genus Cricotopus and two COI sequences Orthocladius sp. (outgroup). For the clarity of the network, bootstrap support values of the nodes are not demonstrated.
Fig. 2. Statistical parsimony cladogram network representing relationships among the 45 haplotypes for a 615 in Genetic diversity of Halyomorpha halys (Hemiptera, Pentatomidae) in Korea and comparison with COI sequence datasets from East Asia, Europe, and North America
Fig. 2. Statistical parsimony cladogram network representing relationships among the 45 haplotypes for a 615 bp fragment of the COI gene of Halyomorpha halys. Each circle is labeled with haplotype number, and the size of each circle is proportional to the frequency of each haplotype [H3 (n = 353); H1 (n = 285); H22 (n = 43); H8 (n = 34); H33 (n = 23); H2 (n = 16); H32 (n = 8); H7, H9–H13, and H43 (n = 3); H6, H14, H34, H39, and H40 (n = 2); H4–H5, H12, H15–H21, H23, H30–H31, H35–H38, H41, H42, and H44–H51 (n = 1)]. Differing colors indicate countries in which samples were collected.
Fig. 1 in Dispersal records of the sugarcane aphid, Melanaphis sacchari (Zehntner) (Hemiptera: Aphididae), through the Midwest Suction Trap Network
Fig. 1. Seasonal population dynamics of the sugarcane aphid, Melanaphis sacchari, collected between 2015 and 2017 from selected states in the Midwest Suction Trap Network.
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. 3 in MAX WEBER AN ARTIFICIAL SOCIOLOGY. PROPOSAL FOR A NEURAL NETWORK WITH WEBERIAN REASONING
Fig. 3. The ornithopod dinosaur Gasparinisaura cincosaltensis Coria and Salgado, 1996 from the Late Cretaceous Anacleto Formation of Patagonia, MCSPv 111 (A) and MCSPv 112 (B). A1, nearly complete postcranial skeleton in left lateral view; A2, cluster of gastroliths in the abdominal cavity; B1, nearly complete skeleton in dorsal view; B2, the largest cluster of gastroliths below the last dorsal vertebra.
Fig. 2 in MAX WEBER AN ARTIFICIAL SOCIOLOGY. PROPOSAL FOR A NEURAL NETWORK WITH WEBERIAN REASONING
Fig. 2. The ornithopod dinosaur Gasparinisaura cincosaltensis Coria and Salgado, 1996, MUCPv 213 from the Late Cretaceous Anacleto Formation of Patagonia. A. Forelimb bones and ribs. B. The longest gastrolith in contact with two right dorsal ribs. C. Cluster of gastroliths associated with the ribs. D. Scanning electron microphotograph of a gastrolith from metamorphic rock.
Fig. 1 in MAX WEBER AN ARTIFICIAL SOCIOLOGY. PROPOSAL FOR A NEURAL NETWORK WITH WEBERIAN REASONING
Fig. 1. The surroundings of Cinco Saltos City where MCSPv 111, MCSPV 112 (Site 1) and MUCPv 213 (Site 2) were found (modified from Andreis et al. 1974).
Video Documentation for the Giant Human Sorting Network event in Vienna, Austria, September 19, 2019
<p>This video is a supplementary material for the article "Large and Parallel Human Sorting Networks" by Stefan Szeider, to appear in the proceeedings of CMSC 2024, the 7th Conference on Creative Mathematical Sciences Communication, Springer Verlag, 2024.</p> <p> </p>
Deep Learning Neural Network Development for the Classification of Bacteriocin Sequences Produced by Lactic Acid Bacteria
<p>This project contains the following underlying data:</p> <h3> Software-Related Files</h3> <p><strong> · </strong><strong>BacLABNet_script.ipynb</strong> (Deep Learning Neural Network for classification of Bacteriocin Sequences) </p> <p><strong> · </strong><strong>embed_proteins.py </strong>(Recurrent Neural Network to obtained the embedding vectors)</p> <p> · <strong> </strong><strong>model_I22.h5</strong> (This file contains the trained weights of the trained model)</p> <p> · <strong>model_I22.json</strong> (This file contains the structure of the trained model)</p> <p><strong> · </strong><strong>rnn_gru.pt</strong> (Initial weights of the Recurrent Neural Network to obtain embedding vectors)</p> <p><strong> · </strong><strong>List_kmers.csv</strong> (List of 5-mers and 7-mers obtained from dataset after it filtered sequences shorter than 50 aa and longer than 2000 aa)</p> <p><strong> </strong></p> <p> <strong>Files Used for Training, Testing, and Validation of the Neural Network</strong></p> <p> <strong>· </strong> <strong>data_nonBacLAB.csv</strong> (25000 nonBacLAB amino acid sequences retrieved from Uniprot)</p> <p> <strong>· data_BacLAB.csv</strong> (24964 BacLAB amino acid sequences retrieved from Uniprot)</p> <p> <strong> </strong></p> <p><strong> Additional Files</strong></p> <p><strong> · data_BacLAB_and_nonBacLAB.csv </strong>(Combination of sequences from data_BacLAB.csv and data_nonBacLAB.csv)</p> <p> <strong> · </strong><strong>all k.mers list.xlsx </strong>(Table of all k-mers obtained for k=3,5,7,15,20)</p> <p> </p> <p><strong>Note:</strong> Codes are additionally available on GitHub. </p> <p><span>Data are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication)(http://creativecommons.org/publicdomain/zero/1.0/)</span></p>
ScienceDex guides
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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.