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Text-fig. 15. Photomicrographs of thin sections of holotype BP/16/1738, Sorindeioxylon gorongosense gen. et sp. nov. from Muaredzi site 5, Gorongosa, Mozambique. a: TS, note the irregularly spaced and very narrow bands of parenchyma and mostly solitary vessel elements; b: TS at higher magnification with narrow rays; c: radial longitudinal section (RLS), rather oblique but shows the alternate, small-to-medium inter-vessel pits; d: tangential longitudinal section (TLS), rays are 1–3 cells wide but maintain the same width. Small arrow towards the right hand ray indicates a prismatic crystal in the ray cell; e: TLS rays with fibres in between; f: RLS showing mixed ray cells (upright, square and procumbent) poorly preserved. in Stratigraphy, Chronology And Palaeontology Of The Tertiary Rocks Of The Cheringoma Plateau, Mozambique
Text-fig. 15. Photomicrographs of thin sections of holotype BP/16/1738, Sorindeioxylon gorongosense gen. et sp. nov. from Muaredzi site 5, Gorongosa, Mozambique. a: TS, note the irregularly spaced and very narrow bands of parenchyma and mostly solitary vessel elements; b: TS at higher magnification with narrow rays; c: radial longitudinal section (RLS), rather oblique but shows the alternate, small-to-medium inter-vessel pits; d: tangential longitudinal section (TLS), rays are 1–3 cells wide but maintain the same width. Small arrow towards the right hand ray indicates a prismatic crystal in the ray cell; e: TLS rays with fibres in between; f: RLS showing mixed ray cells (upright, square and procumbent) poorly preserved.
Text-fig. 14. Photomicrographs of thin sections of specimen BP/16/1732 Palmoxylon dutoitii from Mhengere Hill, Gorongosa, Mozambique. a: transverse section (TS) with four fibre vascular bundles (fvb) and poorly preserved parenchyma between; b: diagram of one of the fvbs in (a) of the reniform type (f – fibres, mx – metaxylum, p – phloem, px – protoxylum); c: close up of the vascular part of a fvb with 2 metaxylem elements and the collapsed cells to the lower left represents the phloem; d: fvb with 2 metaxylem elements, fibrous part to the left and parencymarous ground tissue to the right; e: lower magnification of fvb in (c); f: fvb with three metaxylem elements and phloem patch below; g: longitudinal section (LS) showing the vascular sections alternating with the fibrous sections; h: LS showing the horizontal thickening on the walls of the metaxylem vessels and a patch of parenchyma to the right (darker cells); i: spheroid echinate phytoliths that are typical of Hyphaene and Borassus. in Stratigraphy, Chronology And Palaeontology Of The Tertiary Rocks Of The Cheringoma Plateau, Mozambique
Text-fig. 14. Photomicrographs of thin sections of specimen BP/16/1732 Palmoxylon dutoitii from Mhengere Hill, Gorongosa, Mozambique. a: transverse section (TS) with four fibre vascular bundles (fvb) and poorly preserved parenchyma between; b: diagram of one of the fvbs in (a) of the reniform type (f – fibres, mx – metaxylum, p – phloem, px – protoxylum); c: close up of the vascular part of a fvb with 2 metaxylem elements and the collapsed cells to the lower left represents the phloem; d: fvb with 2 metaxylem elements, fibrous part to the left and parencymarous ground tissue to the right; e: lower magnification of fvb in (c); f: fvb with three metaxylem elements and phloem patch below; g: longitudinal section (LS) showing the vascular sections alternating with the fibrous sections; h: LS showing the horizontal thickening on the walls of the metaxylem vessels and a patch of parenchyma to the right (darker cells); i: spheroid echinate phytoliths that are typical of Hyphaene and Borassus.
Text-fig. 4: Pterigophycos sp., details of specimen in Text-fig. 3a. a: Blades B5–7; b: Close-up of (a), focusing on attachment of small blades B5–7 to holdfast structure; c: Detail of holdfast with several linear elements extending from proximal portion; d: Detail of blade B2, showing midrib and spathulate lamina segments; e: Detail of blade B1, showing lowermost, smallest lamina segments; f: tiny bivalve shell on stipe of blade B1, scale bar = 5 mm; g: Detail of blade B2, showing proximal beginning of lamina segmentation. Scale bars = 1 cm unless otherwise stated. in A Whole-Plant Specimen Of The Marine Macroalga Pterigophycos From The Eocene Of Bolca (Veneto, N-Italy)
Text-fig. 4: Pterigophycos sp., details of specimen in Text-fig. 3a. a: Blades B5–7; b: Close-up of (a), focusing on attachment of small blades B5–7 to holdfast structure; c: Detail of holdfast with several linear elements extending from proximal portion; d: Detail of blade B2, showing midrib and spathulate lamina segments; e: Detail of blade B1, showing lowermost, smallest lamina segments; f: tiny bivalve shell on stipe of blade B1, scale bar = 5 mm; g: Detail of blade B2, showing proximal beginning of lamina segmentation. Scale bars = 1 cm unless otherwise stated.
Matroids with 9 elements
<p>This dataset contains the 385370 pairwise non-isomorphic matroids from 0 to 9 elements inclusive.</p> <p>Each matroid is given as a text string occupying one line of the file matroids09_rankLine. Except for the empty matroid, the text string gives the rank of every subset of the groundset (as described in more detail in the readme.md file), and so is called the rankline of the matroid.</p> <p>This establishes a de-facto numbering scheme for the matroids, starting with M0 (the empty matroid) and ending with M385369 (the uniform matroid U(9,9)). For example, M298 is the number for the Fano plane, and its rankLine occurs on line 298 (counting from 0) of the file.</p> <p>Various published papers in matroid theory have already referred to specific matroids using the M-numbers obtained from this catalogue.</p> <p>This dataset is provided as a "reference version" of the catalogue to permit researchers, both now and into the future, to safely use M-numbers as unique and unchanging identifiers to refer to any matroid on up to 9 elements.</p>
Flat-Field Super-Resolution Localization Microscopy with a Low-Cost Refractive Beam-Shaping Element
<p>Raw data for the article "Flat-Field Super-Resolution Localization Microscopy with a Low-Cost Refractive Beam-Shaping Element". Each set of three files is a set of dSTORM images, taken using either top-hat illumination or a Gaussian illumination. For Sample 0, the top-hat illumination was performed first. For Sample 1, the Gaussian illumination was performed first.</p>
patteRNA: transcriptome-wide search for functional RNA elements via structural data signatures, Datasets.
<p>Datasets, code and results supporting the manuscript:</p> <p>Ledda M. & Aviran S., patteRNA: transcriptome-wide search for functional RNA elements via structural data signatures</p>
Figure 1. The component elements and technological dimension of private life-Educational Research on the Technological Dimension of Private Life
<p>At the level of each component element there are ten principal/main dimensions:<br> objective, biological, psycho-social, esthetic, religious, technological, economical, historical,<br> cultural - political, juridical. The analysis of all the aspects presented above offers a holistic<br> view on the concept of private life, a view that allows a complete representation of all the<br> components. We plot the dynamic structure of the components of privacy by means of two<br> axes, in which the vertical scale is characteristic and essential elements horizontally (Figure<br> 1).</p>
Figure 4. The graphic representation of the means for the elements component of the technological dimension variable according to the group variable (teachers versus students)
<p>The second hypothesis is confirmed. There are differences between teachers’ and<br> students’ representations on the technological dimension of private life. Test t results show<br> that teachers have a more positive perception than students for the next component of<br> technological dimensions: Personal Self [t(2344) = 4,446, p <0,05], Adaptive Self [t(2344) =<br> 2,757, p <0,05], Primary groups [t(2344) = 3,192, p <0,005] (Table 3, Figure 4).</p>
Raw images and processed datasets related to the journal article Robust Assessment of Post-Localisation Hardening Behaviour in Eurofer97 using Inverse Finite Element Methods
Open the record for dataset details and reuse information.
→ Fig. 2. Representative skeletal elements of ornithosuchid archosaur Dynamosuchus collisensis gen. et sp. nov. (CAPPA/UFSM 0248) from Janner outcrop, Carnian, Late Triassic. A. Selected skull bones in left lateral view. B. Reconstruction of the skull. C. Skull in ventral view. D. Left quadrate and quadratojugal in posterodorsal view. E. Parabasisphenoid in left lateral view. F. Neural arch of an anterior cervical vertebra in anterior view. G. Centrum of a cervical vertebra in left lateral view. H. Right osteoderm in dorsal view. I. Neural arch of an anterior dorsal vertebra in left lateral view. J. Left ilium in lateral view. L. Right humerus in anterior view. M. Right forearm in medial view. N. Left manus in dorsal view. O. Right (reversed) pubis in lateral view. P. Left femur in anterior view. Q. Left fibula in lateral view. Some unpreserved portions are modified from Baczko et al. in press, for the reconstruction of the skeleton of CAPPA/UFSM 0248 (preserved elements indicated in orange) (K). Scale bars 20 mm. in The first ornithosuchid from Brazil and its macroevolutionary and phylogenetic implications for Late Triassic faunas in Gondwana
→ Fig. 2. Representative skeletal elements of ornithosuchid archosaur Dynamosuchus collisensis gen. et sp. nov. (CAPPA/UFSM 0248) from Janner outcrop, Carnian, Late Triassic. A. Selected skull bones in left lateral view. B. Reconstruction of the skull. C. Skull in ventral view. D. Left quadrate and quadratojugal in posterodorsal view. E. Parabasisphenoid in left lateral view. F. Neural arch of an anterior cervical vertebra in anterior view. G. Centrum of a cervical vertebra in left lateral view. H. Right osteoderm in dorsal view. I. Neural arch of an anterior dorsal vertebra in left lateral view. J. Left ilium in lateral view. L. Right humerus in anterior view. M. Right forearm in medial view. N. Left manus in dorsal view. O. Right (reversed) pubis in lateral view. P. Left femur in anterior view. Q. Left fibula in lateral view. Some unpreserved portions are modified from Baczko et al. in press, for the reconstruction of the skeleton of CAPPA/UFSM 0248 (preserved elements indicated in orange) (K). Scale bars 20 mm.
Concentrations of the rare earth elements (REE) and Thorium-232 (232Th) in glacial dust from the northern Gulf of Alaska region
<p>Concentrations of the rare earth elements (REE) and Thorium-232 (232Th) are presented for filtered air (dust) samples collected from the northern Gulf of Alaska region, including from Middleton Island (AK)(59.4214 N, 146.3493 W) and the Copper River delta (60.4324 N, 145.0954 W). Size-fractionated samples were collected in November 2019, using a Tisch Volumetric Flow Controlled (VFC) high volume sampler (Tisch Environmental, TE-5170V- BL) outfitted with a Cascade impactor. The six size fractions collected ranged from <0.49 micrometers (um) to >7.2 um in diameter. This sampler technology is discussed in greater detail in Morton et al, 2013. Samples were filtered with acid-washed Whatman 41 (W41) cellulose fiber filters. Additional bulk dust samples were collected in October 2012, using a Thermo Partisol Plus 2025 using Teflon filters. Samples were fully digested using concentrated nitric and hydrofluoric acids, following the approach of Morton et al, 2013. Samples were analyzed using a Thermofisher iCAP inductively coupled plasma mass spectrometer (ICP-MS) in KED mode, with He as a collision cell gas, adapted from the approach of Trommetter et al (2020). Concentrations were determined from standard curves using a REE ICP-MS standard from High-Purity Standards (that also contained 232Th). Three internal standards (Ge, In, and Bi) were added to both samples and standards, to correct for short-term variability in the instrument response and to evaluate stability of mass response during the ICP-MS run. Concentration estimates for the REE and 232Th were blank-corrected using full-process blanks that included filters deployed during times when there was no known dust deposition. Most of the full-process blank concentrations were 100 times or more smaller than the concentrations of our lowest standard (with the exception of Ce, the concentration of which was ~seven times smaller than our lowest standard. This means that our blank concentrations were very low but also not quantified extremely accurately. Our best estimates are that the full-process blanks, including filters, ranged from 0.02 picograms per square centimeter (pg cm-2) for Eu, Tb, and Ho, to 2 pg cm-2 for Ce. These blank concentrations were in all cases 40 times or more smaller than our lowest REE sample concentration for the <0.49 um size fraction with the smallest amount of dust, and ~3 orders of magnitude smaller than the signal of the largest samples. The REE data are also presented in a double-normalized format that first normalizes to concentrations of Post Archean Australian Shale and then normalizes to the mean REE concentration. The normalization approach is slightly modified from that of Serno et al, 2014.</p>
Results of elemental analyses of brain and liver human tissue samples performed by inductively coupled plasma mass spectrometry
<p>Human tissue samples of brain and liver were obtained after min. 24 h postmortem from the Department of Forensic Medicine, University of Lublin. Tissue samples were collected from typical anatomical locations intended for histopathological examination: A—polus frontalis (frontal pole), B—gyrus precentralis (precentral gyrus), C—gyrus postcentralis (postcentral gyrus), D—cortex cingularis (gyrus cinguli cingulate gyrus), E—hippocampus (hippocampus), F—caput nuclei caudati (head of caudate nucleus), G—fasciculus longitudinalis superior cerebri (superior longitudinal fasciculus of brain, SLF), H—fasciculus longitudinalis inferior cerebri (inferior longitudinal fasciculus of brain, ILF), I—thalamus dorsalis (dorsal thalamus), J—nucleus accumbens septi (nucleus accumbens septi, NAc), K—insula (insula), L—hepar (liver). Samples were taken with the consent of the prosecutor and the Local Bioethics Committee (Medical University of Lublin, Poland, KE-0254/152/2021, approval date 24 June 2021). The study was conducted in accordance with the World Medical Association Code of Ethics, Declaration of Helsinki, for experiments involving human subjects. The samples were mineralized to remove the organic matrix using microwave minerali-zation with nitric acid (69% suprapur HNO3, Baker, Radnor, PA, USA) in the microwave mineralization system Multiwave 5000 (Anton Paar, Graz, Austria). After mineralization step, HCl (Merck, Darmstadt, Germany) was added and diluted by ultrapure water. The elemental analysis was performed using the inductively coupled plasma mass spectrometer Agilent 8900 ICP-MS Triple Quad (Agilent, Santa Clara, CA, USA). </p>
The rare earth element distribution in marine carbonates as a potential proxy for seawater pH on early earth
<p>Understanding the marine environment of early Earth is crucial for understanding the evolution of climate and early life. However, the master variable of Archean and Proterozoic seawater, the pH, is poorly constrained, and published ideas about the pH range encompass ~7 pH units from mildly acidic to hyperalkaline. To better infer ancient seawater pH, we examine the possibility of a seawater pH proxy using rare earth elements (REEs) in marine carbonates. The principle is based on increasing concentrations of heavy rare earth elements in solution relative to the light REEs with decreasing pH due to REE complexation and scavenging. We calibrated such an REE pH proxy using pH variability in modern seawater and tested the proxy with ~100 REE measurements from 13 separate carbonate formations. We compared our pH estimates derived from the REE proxy to published pH estimates of Cenozoic and Neoproterozoic seawater that use the established pH proxy of boron isotopes (δ<sup>11</sup>B). REE-pH estimates agree with the Cenozoic and the Ediacaran δ<sup>11</sup>B-pH proxy based on the type of carbonate and boron isotopic composition at corresponding times. The uncertainty in our REE-pH proxy can probably be explained by model assumptions, noise from freshwater influence, siliciclastic input, and diagenesis. This proof-of-concept study demonstrates that the REE-pH method provides pH estimates comparable to boron isotope pH estimates within uncertainties, which potentially could constrain changes in Precambrian seawater pH to better understand the coevolution of life and early Earth's environment.</p>
Cylichnatys angusta (СЭМ): пластинка гиЗЗарда (A); Элементы челюстей (B); Зубы радулы (С). МасШтаб: A – 100 мкм, B – 20 мкм, C – 50 мкм. Cylichnatys angusta (SEM): gizzard plate (A); jaw elements (B); radula (С). Scale bar: A – 100 µm, B – 20 µm, C – 50 µm. in Opisthobranch cephalaspidean mollusks (Gastropoda: Opisthobranchia) of Vostok Bay, Sea of Japan. Part 1
Cylichnatys angusta (СЭМ): пластинка гиЗЗарда (A); Элементы челюстей (B); Зубы радулы (С). МасШтаб: A – 100 мкм, B – 20 мкм, C – 50 мкм. Cylichnatys angusta (SEM): gizzard plate (A); jaw elements (B); radula (С). Scale bar: A – 100 µm, B – 20 µm, C – 50 µm.
Iron Trace Elements Concentration in PM10 and Alzheimer's Disease in Lima, Peru: Ecological Study - dataset
<p>This dataset was created to evaluate the association between iron trace-elements concentration in PM10 with Alzheimer´s Disease cases in different districts in Lima, Peru. The database was constructed using open-access repositories of the Peruvian Ministry of Health and the Peruvian CDC.</p> <p>The uploaded datasets are in .dta and .csv formats.</p>
Fig. 6 in The tarphyceratid cephalopod Trocholites in the Middle-Upper Ordovician of the Prague Basin -the Baltican element in peri-Gondwana
Fig. 6. Tarphyceratid cephalopod Trocholites chaloupkai sp. nov. from Praha-Štěrboholy, central Bohemia, Czech Republic, upper part of the Zahořany Formation (lower Katian, Upper Ordovician). A. Holotype NM L 63626, detail of apicalmost part of the phragmocone (A1) and drawing (A2) indicating line of contact of whorls, position of siphuncle, position of (partly fragmented) septa and shape of initial chamber and umbilical window.
Fig. 4 in The tarphyceratid cephalopod Trocholites in the Middle-Upper Ordovician of the Prague Basin -the Baltican element in peri-Gondwana
Fig. 4. Tarphyceratid cephalopod Trocholites fugax Babin and GutiérrezMarco, 1992, from Březová Hůrka near Starý Plzenec, central Bohemia, Czech Republic, Dobrotivá Formation (upper Middle–lower Upper Ordovician). A. NM L 63625a, b, counterpart (A1) and part (A2).
Fig. 3 in The tarphyceratid cephalopod Trocholites in the Middle-Upper Ordovician of the Prague Basin -the Baltican element in peri-Gondwana
Fig. 3. Parameters used to measure and describe the specimens studied herein (after Korn 2010). Abbreviations: ah, apertural height; cl, cameral length; dm, shell diameter across centre of umbilicus; fh, foramen height; iz, imprint zone; uw, umbilical width; wh, whorl height; ww, whorl width. Line drawings are based on NM L 63626 (holotype of Trocholites chaloupkai sp. nov.).
Fig. 2 in The tarphyceratid cephalopod Trocholites in the Middle-Upper Ordovician of the Prague Basin -the Baltican element in peri-Gondwana
Fig. 2. Correlation of the Dobrotivá and Zahořany formations (greyed-out levels) with global and Ibero-Bohemian chronostratigraphic units, and the herein discussed occurrence of Trocholites. Modified from Kraft et al. (2015), Fatka and Budil (2022), and Kraft et al. (2023).
Fig. 1 in The tarphyceratid cephalopod Trocholites in the Middle-Upper Ordovician of the Prague Basin -the Baltican element in peri-Gondwana
Fig. 1. Map of Ordovician rocks of the Prague Basin and position of the localities, from which the two studied specimens originate: Locality 1, Březová Hůrka near Starý Plzenec; Locality 2, Praha-Štěrboholy. Modified from Manda (2008).
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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.