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FIGURE 10 in Filling in a biogeographic gap: the first Trichomycteridae from the Parnaíba River basin (Siluriformes: Trichomycteridae)
FIGURE 10 | Caudal-fin skeleton of Ituglanis crispim, paratype, MZUSP 126756, 29.7 mm SL (c&s). Lateral view. Abbreviations: epural (EP); hypurapophysis (ha) plus secondary hypurapophysis (has) (HA+HAS); hypural 5 (HU5); presumed hypurals 3 plus 4 (HU3+HU4); hypurals 1 plus 2 plus parhypural (PH+HU1+HU2); preural centrum 1 plus ural centrum 1 (PU1+U1); preural centrum 2 (PU2); uroneural (UR). Scale bar = 0.5 mm.
FIGURE 4 in Filling in a biogeographic gap: the first Trichomycteridae from the Parnaíba River basin (Siluriformes: Trichomycteridae)
FIGURE 4 | Anterior part of skull and related structures of Ituglanis crispim, paratype, MZUSP 126756, 29.7 mm SL (c&s). Ventral view. Abbreviations: mesethmoid (ME); premaxilla (PMX); maxilla (MX); barbular (BA); orbitoshpenoid (OS); autopalatine (AP); and vomer (VO). Some elements are not shown. Scale bar = 0.5 mm.
FIGURE 2 in Filling in a biogeographic gap: the first Trichomycteridae from the Parnaíba River basin (Siluriformes: Trichomycteridae)
FIGURE 2 | Pelvic girdle of Ituglanis crispim, paratype, MZUSP 126756, 29.7 mm SL (c&s), dorsal view. Abbreviations: basipterygium (BP); external process (EP); internal process (IP); pelvic splint (PS). Scale bar = 0.2 mm.
FIGURE 9 in Filling in a biogeographic gap: the first Trichomycteridae from the Parnaíba River basin (Siluriformes: Trichomycteridae)
FIGURE 9 | Radiographs of types specimens of Ituglanis crispim. Lateral views. MZUSP 126756, paratypes, 32.6, 29.4, 29.7 mm SL, respectively (A, C, D, latter now c&s); B. MZUSP 126762, holotype, 28.8 mm SL.
FIGURE 6 in Filling in a biogeographic gap: the first Trichomycteridae from the Parnaíba River basin (Siluriformes: Trichomycteridae)
FIGURE 6 | Hyoid arch of Ituglanis crispim, paratype, MZUSP 126756, 29.7 mm SL (c&s). Lateral view. Abbreviations: anterior ceratohyal (AC); BR1–8, branchiostegal rays 1 to 8; inter-ceratohyal cartilage (IC); posterior ceratohyal (PC); ventral hypohyal (VH). Image from right side, inverted to conform to standard position. Scale bar = 0.5 mm.
FIGURE 8 in Filling in a biogeographic gap: the first Trichomycteridae from the Parnaíba River basin (Siluriformes: Trichomycteridae)
FIGURE 8 | Gill arches of Ituglanis crispim, paratype, MZUSP 126756, 29.7 mm SL (c&s). Dorsal view. Abbreviations: basibranchials 2 to 4 (BB2–4); ceratobranchials 1 to 3 (CB1–3); epibranchials 1 to 4 (EB1–4); hypobranchials 1 to 3 (HB1–3); pharyngobranchial 3 (PB3). Ceratobranchials 4 and 5 (CB4–5), and upper pharyngeal tooth plate (TP) damaged and partly missing. Scale bar = 0.5 mm.
FIGURE 5 in Filling in a biogeographic gap: the first Trichomycteridae from the Parnaíba River basin (Siluriformes: Trichomycteridae)
FIGURE 5 | Suspensorium and opercular apparatus of Ituglanis crispim, paratype, MZUSP 126756, 29.7 mm SL (c&s). Lateral view. Abbreviations: metapterygoid (MT); quadrate (QU); preopercle (PO); interopercle (IO); opercle (OP); hyomandibula (HY); dentary (DE), and anguloarticular (AA). Image from right side, inverted to conform to standard position. Scale bar = 0.5 mm.
FIGURE 3 in Filling in a biogeographic gap: the first Trichomycteridae from the Parnaíba River basin (Siluriformes: Trichomycteridae)
FIGURE 3 | Neurocranium and related structures of Ituglanis crispim, paratype, MZUSP 126756, 29.7 mm SL (c&s). A. Dorsal and B. Ventral views. Abbreviations: mesethmoid (ME); premaxilla maxilla (PMX); maxilla (MX); anterior fontanel (AF); autopalatine (AP); frontal (FR); barbular (BA); parieto-supraoccipital (SU); orbitosphenoid (OS); posterior fontanel (PF); lateral ethmoid (LE); parasphenoid (PA); sphenoticprootic-pterosphenoid complex bone (SP+PO+PN); vomer (VO); basioccipital (BO); Weberian capsule (WC). Some elements are not shown. Scale bar = 1 mm.
FIGURE 12 in Filling in a biogeographic gap: the first Trichomycteridae from the Parnaíba River basin (Siluriformes: Trichomycteridae)
FIGURE 12 | A. Type locality of Ituglanis crispim, riacho da Volta, right tributary to Parnaíba River, Uruçuí, Parnaíba River basin, Piauí, Brazil. B. In detail the submerged filamentous algae. Photo taken on July 18, 2005.
FIGURE 1 in Filling in a biogeographic gap: the first Trichomycteridae from the Parnaíba River basin (Siluriformes: Trichomycteridae)
FIGURE 1 | Ituglanis crispim, MZUSP 126762, holotype, 28.8 mm SL, riacho da Volta, right tributary to Parnaíba River, Parnaíba River basin. Left lateral, dorsal, and ventral views.
Supporting Information for: Single-fly genome assemblies fill major phylogenomic gaps across the Drosophilidae Tree of Life
<p>This data repository contains supporting information, data, and code for figures and analysis pipelines the PLOS Biology article: "Single-fly genome assemblies fill major phylogenomic gaps across the Drosophilidae Tree of Life."</p> <ul> <li><strong>4d_full.treefile</strong>: Data underlying Figure 1 (note: tree was plotted as a cladogram and key groups collapsed on iToL; the treefile was not modified) and Figure S1.</li> <li><strong>S2_data.csv</strong>: Data underlying Figure 2.</li> <li><strong>S3_data.csv</strong>: Data underlying Figure 3.</li> <li>Data underlying Figure 4 is found in Table S4 of supplementary_tables.xlsx in the main manuscript</li> <li><strong>S5_data.csv</strong> Data underlying Figure 5</li> <li><strong>S6_data.csv</strong> Data underlying Figure S2 </li> <li><strong>illumina_only_assms.tar.gz</strong>: Archive of Illumina-only assemblies (FASTA) based on publicy available data that we did not generate. Assemblies generated from our own short-read data have been submitted to NCBI GenBank.</li> <li><strong>illumina_vcfs.tar.gz</strong>: Illumina-based variant calls and BED tracks of masked bases.</li> <li><strong>genomes.tar.gz</strong>: Genome files, for archival purposes.</li> <li><strong>repeatModeler-lib.tar.gz</strong>: RepeatModeler2 libraries.</li> <li><strong>diploid_genomes.tar.gz</strong>: diploid genomes and BED tracks of phased regions.</li> <li><strong>trees.tar.gz</strong>: phylogenies</li> </ul>
LGHAP v2: Global annual mean 1-km gap-free PM2.5 grids (2000-2021)
<p>A Long-term Gap-free High-resolution Air Pollutants concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and earth system science analysis. In the current release of LGHAP dataset (LGHAP v2), we provide 22-year-long gap free aerosol optical depth (AOD) and near-surface PM2.5 concentrations with daily 1-km resolution covering the global land area from 2000 to 2021. Leveraging an improved big earth data analytic framework with attention-reinforced tensor construction and adaptive background information updating schemes, gap-free AOD grids were firstly derived via an integration of multimodal AODs and air quality measurements acquired from diverse satellites, ground monitors, and numerical models. For better predicting PM2.5 concentration across the globe, a scene-aware ensemble learning graph attention network (SCAGAT) was then developed to account for large modeling bias over regions with limited or even none in situ air quality measurements. These datasets were archived in the NetCDF (nc) format, while data in every year were archived as an individual submission. Python, MATLAB, R, and IDL codes were also provided to help users read and visualize the LGHAP v2 data.</p>
The Gambian Pertussis Study (GaPs) Protocol: Supplementary data
<p>Attached are the following documents related to the protocol on 'The impact of acellular pertussis vaccination in pregnancy on the immunogenicity of acellular versus whole-cell pertussis vaccines in infancy: A protocol for a phase IV randomised, controlled mother-infant pertussis vaccine trial (The Gambian Pertussis Study, GaPs, ClinicalTrials.gov NCT03606096'</p> <ol> <li>Data dictionaries for the maternal and infant clinic visits </li> <li>GaPs informed consent document for pregnant participants</li> <li>SPIRIT checklist - signed</li> <li>Independent data and safety monitoring charter</li> </ol>
Fig. 3 in Navigating through ocean literacy gaps: an analysis of elementary school textbooks in Croatian education Abstract
Fig. 3: Presence of ocean literacy principles (OLP) and concepts (OLC) in higher grades of the elementary school science textbooks in Croatia (grades 5-8). Results are presented as average occurrence and standard deviation of books analysed for each grade.
Fig. 2 in Navigating through ocean literacy gaps: an analysis of elementary school textbooks in Croatian education Abstract
Fig. 2: Presence of ocean literacy principles (OLP) and concepts (OLC) in lower grades of the elementary school science textbooks in Croatia (grades 1-4). Results are presented as average occurrence and standard deviation of books analysed for each grade.
Fig. 1 in Navigating through ocean literacy gaps: an analysis of elementary school textbooks in Croatian education Abstract
Fig. 1: Mean contribution of pages with ocean-related topics in the text (A) and illustration (B) in the Croatian elementary school textbooks. Error bars represent the standard deviation among different publishers or textbook lines.
Fig. 4 in Navigating through ocean literacy gaps: an analysis of elementary school textbooks in Croatian education Abstract
Fig. 4: Best-case scenario of presence of ocean sciences topics according to OL principles and concepts in the elementary school textbooks in Croatia.
Fig. 2 in An Eocene sea turtle from the eastern North Pacific fills a Paleogene gap
Fig. 2. Photographs of sea turtle nuchal and peripherals of Chelonioidea gen. et sp. indet. (SDSNH 103374) from the Eocene Santiago Formation of California, USA (SDSNH loc. 5570). Ventral (A 1, A 4), anterior (A 2), and dorsal (A 3, A 5) views.
Fig. 1 in An Eocene sea turtle from the eastern North Pacific fills a Paleogene gap
Fig. 1. Geographic and geologic context of sea turtle fragments (Chelonioidea gen. et sp. indet.). A. Map of northern Pacific showing sea turtle localities. B. Position of Bressi Ranch locality of the Santiago Formation (SDSNH loc. 5570) in Southern California, USA. C. Stratigraphic column of the Bressi Ranch.
Fig. 6 in Eocene phymaraphiniid demosponges from South Western Australia: filling the gap
Fig. 6. Skeletal features of morphological variability of the phymaraphiniid sponge Pickettispongia tabelliformis (Chapmann and Crespin, 1934), from the Fitzgerald River National Park (A–D, Doyle Road; E–I, Hamersley River area), Australia, upper Eocene. A. Upper surface showing ectosomal discotriaenes; between them rhizoclone-like modified desmas are visible, ZPAL Pf. 14/st.A839. B. General view of the choanosomal skeleton with canal openings, ZPAL Pf. 14/st.A823. C. Detailed view of choanosomal skeleton surface showing trider desmas and their articulations, ZPAL Pf. 14/st.A823. D. Surface of choanosomal skeleton showing trider with hemispherical central tubercle, ZPAL Pf. 14/st.A823. E. Slightly eroded surface of the choanosomal skeleton showing densely distributed canal openings, ZPAL Pf. 14/st.914. F. Details of triders showing variability in sculpture of desmas, ZPAL Pf. 14/st.825. G. Oblique view of triders showing articulations, ZPAL Pf. 14/st.914. H, I. Details of trider sculpture. H. ZPAL Pf. 14/st.914. I. ZPAL Pf. 14/st.913.
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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.