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Figs. 1–4. Pteronemobius spp., body from above. 1-2 – P in Two New Species Of The Genus Pteronemobius Jacobson (Orthoptera: Gryllidae) From China
Figs. 1–4. Pteronemobius spp., body from above. 1-2 – P. (Pteronemobius) ruficeps sp. n.:
FIG. 3 in Identities of Pagurus japonicus (Stimpson, 1858), P. similis (Ortmann, 1892) and P. barbatus (Ortmann, 1892), with description of a new species (Crustacea, Decapoda, Anomura, Paguridae)
FIG. 3. — Pagurus japonicus (Stimpson, 1858),
Evolución de los pesos relativos de la empresas del S&P 500 sobre la capitalización total del índice
<p>nos muestra la composición del S&P500 en diferentes momentos del tiempo, mostrando en cada punto de análisis las empresas que conforman el top x% seleccionado por el usuario. Los datos incluidos son:incluyendo: (1) ticker, (2) nombre de la empresa, (3) sector, (4) subsector, (5) peso relativo de la capitalización sobre la capitalización total del índice, (6) peso acumulado de la capitalización y (7) fecha valor de la capitalización utilizada para el cálculo de los pesos relativos.</p>
Evolución de la capitalización de las empresas del S&P 500
<p>nos muestra la evolución de la capitalización bursátil de las empresas que componen el S&P 500 en diferentes momentos del tiempo.</p>
Evolución de la cotización de las empresas del S&P 500
<p>Evolución diaria de la cotización de las empresas (valor a cierre de mercado) que componen el índice en diferentes momentos del tiempo. </p>
Simulations For: Biophysical basis of filamentous phage tactoid-mediated antibiotic tolerance in P. aeruginosa
<p>Coordinate, simulation input and simulation output files for atomistic molecular dynamics simulations in Biophysical basis of filamentous phage tactoid-mediated antibiotic tolerance in P. aeruginosa. </p><p> </p>
Pinellia discolor: A new cryptic species distinguished from P. cordata in Mainland China
<p><em>Pinellia cordata</em> (Araceae) is a perennial herb species distributed in China and Japan. Several studies have shown that there are two types of this species, and chromosome counts have shown irregular variation among populations. In this study, we investigated the morphological characteristics, established the chromosome number in root tips, reconstructed phylogenetic relationship based on whole chloroplast genomes, and elucidated biogeographic patterns based on data collected from the Chinese Virtual Herbarium (CVH) and the Plant Photo Bank of China (PPBC) for the two types of <em>P. cordata</em>, including type I (greenish leaf blade) and type II (colored leaf blade). We found stable significant differences in morphometric characteristics (color of the leaf blade abaxially, petiole, spathe, and appendix) and the number of chromosomes. The results of the phylogenetic analysis showed that types I and II were located in different places in the evolutionary tree compared to the group. The distribution regions of these types of <em>P. cordata</em> were also slightly different in Mainland China. These findings suggested that <em>P. cordata</em> should be divided into <em>P. cordata </em>(Type I) and <em>P. discolor</em> (Type II, a cryptic species), and the latter is here described as a new species.</p>
Estatua de Indalecio Prieto (1984), P. Serrano
Esta estatua de bronce de 4,2 metros de altura, realizada por el escultor Pablo Serrano Aguilar, perteneciente al grupo "El Paso", fue instalada durante el gobierno socialista de Felipe González para honrar la memoria del que fuera promotor de los Nuevos Ministerios, junto a cuya fachada se asienta la estatua. Indalecio Prieto fue un político socialista, ministro de Hacienda con el gobierno republicano de Alcalá-Zamora en 1931, de Obras Públicas entre 1931 y 1933 y, finalmente, ministro de Defensa Nacional durante el gobierno de Juan Negrín, en plena Guerra Civil. Murio exiliado en la ciudad de México. Modelo 3D realizado mediante fotogrametría digital con 99 fotografías de un smartphone Xiaomi Mi Note 10. Postproceso en Blender, Instant Meshes y Substance Painter. Textura recreada en Substance Painter. Source: Objaverse 1.0 / Sketchfab
P. maxima footprints from K10 quadrate
**Description:**<br> **Location**: Site 1 of Ipolytarnóc locality, Hungary<br> **Position**: K10 quadrate of site 1<br> **Age**: Lower Miocene<br> **Material**: Imprints of right pes and left manus<br> **Reference**: Gábor Botfalvai, János Magyar, Veronika Watah, Imre Szarvas & Péter Szolyák (2022): Large-sized pentadactyl carnivore footprints from the early Miocene fossil track site at Ipolytarnóc (Hungary): 3D data presentation and ichnotaxonomical revision, Historical Biology,<br> DOI: 10.1080/08912963.2022.2109967<br> Source: Objaverse 1.0 / Sketchfab
Tregiffian burial chamber cup marks (Stone P)
This stone, known as 'Stone P' remains in-situ at Tregiffian. There are perhaps 6 cup marks on its surface. [View a 3D scan of Tregiffian burial chamber](https://sketchfab.com/3d-models/tregiffian-burial-chamber-cornwall-uk-1b6d39159c844ea5b24d869508fa3fd9). *The project was funded by a British Academy/Leverhulme small research grant.* Source: Objaverse 1.0 / Sketchfab
Plant choice between arbuscular mycorrhizal fungal species results in increased plant P acquisition
<p>Arbuscular mycorrhizal fungi (AMF) are plant root symbionts that provide phosphorus (P) to plants in exchange for photosynthetically fixed carbon (C). Previous research has shown that plants – given a choice among AMF species – may preferentially allocate C to AMF species that provide more P. However, these investigations rested on a limited set of plant and AMF species, and it therefore remains unclear how general this phenomenon is. Here, we combined 4 plant and 6 AMF species in 24 distinct plant-AMF species compositions in split-root microcosms, manipulating the species identity of AMF in either side of the root system. Using <sup>14</sup>C and <sup>32</sup>P/<sup>33</sup>P radioisotope tracers, we tracked the transfer of C and P between plants and AMF, respectively. We found that when plants had a choice of AMF species, AMF species which transferred more P acquired more C. Evidence for preferential C allocation to more beneficial AMF species within individual plant roots was equivocal. However, AMF species which transferred more P to plants did so at lower C-to-P ratios, highlighting the importance both of absolute and relative costs of P acquisition from AMF. When plants had a choice of AMF species, their shoots contained a larger total amount of P at higher concentrations. Our results thus highlight the benefits of plant C choice among AMF for plant P acquisition.</p>
Supplementary material Next-generation sequencing reveals that miR-16-5p, miR-19a-3p, miR-451a and miR-25-3p cargo in plasma extracellular vesicles differentiates sedentary young males from athletes.
<p>A sedentary lifestyle is a leading risk factor for global mortality. No objective molecular biomarker of sedentarism is available. Extracellular vesicles miRNAs have been described to respond to exercise. Our aim was to identify the extracellular vesicle miRNA profile of chronically trained young male athletes, endurance and resistance, compared to their sedentary counterparts. A descriptive case-control design with 16 sedentary young men, 16 Olympic male endurance athletes and 16 Olympic male resistance athletes. Next Generation Sequencing and RT-qPCR, external and internal validation, were performed in order to analysed extracellular vesicle miRNA profiles. miR-16-5p, miR-19a-3p and miR-451a were significantly upregulated in SED compared to END and RES. Besides, miR-25-3p was specifically down-regulated in END compared to SED. Extracellular vesicle miR-16-5p, miR-19a-3p, miR-451a provide an objective signature of sedentarism irrespective of the type of exercise and miR-25-3p as a specific responder to endurance training. Therefore, this study provides for the first time an objective measure to categorise individuals as sedentary or trained in young male population and moreover, it highlights a common epigenetic modulation between models of training.</p>
Models (atmospheric and atomic) for the P-CORONA code together with some sample runs.
<p>The dataset comprises some sample example runs with all necessary input parameters and corresponding outputs expected from P-CORONA, along with a few atomic and atmospheric models. Description of the files included is given in the README.txt file.</p> <p>The P-CORONA code can be obtained at <a href="https://gitlab.com/polmag/P-CORONA">https://gitlab.com/polmag/P-CORONA</a> and its documentation at <a href="https://polmag.gitlab.io/P-CORONA/">https://polmag.gitlab.io/P-CORONA/</a></p> <p>The version of P-CORONA used to generate this dataset (which corresponds to the commit #85d7552 in <a href="https://gitlab.com/polmag/P-CORONA">https://gitlab.com/polmag/P-CORONA</a>) can be found at: <a href="https://doi.org/10.5281/zenodo.15195460">https://doi.org/10.5281/zenodo.15195460</a></p>
(Extended Data) Amplicon deep sequencing of ama1 and mdr1 to track within-host P. falciparum diversity throughout treatment in a clinical drug trial
<p>These extended data accompany the manuscript: Targeted Amplicon deep sequencing of ama1 and mdr1 to track within-host <em>P. falciparum</em> diversity throughout treatment in a clinical drug trial</p> <p><strong>Table S1: Concentration ratios and resulting parasitemia in artificial dna mixtures of P. falciparum Lab Isolates 3D7 and Dd2.</strong> This table presents the parasitemia for the artificial mixtures of P. falciparum lab isolates 3D7 and Dd2. Each mixture was prepared at varying ratios of 3D7 to Dd2, starting from equal proportions to a complete presence of only 3D7. The original concentration of each isolate was approximately 50,000 parasites per microliter (pf/μl), and the table displays the proportion of each strain in the mixture and the resulting total parasitemia concentration.</p> <p><strong>Table S2. List of PCR and deep sequencing primers.</strong> This table shows the list of forward and reverse primers used for deep sequencing. In boldface are the MID tags, while in the regular face are the forward primers</p> <p><strong>Table S3. The relative frequencies of each ama1 variant and the number of samples with each variant.</strong> The relative frequencies (%) of the 33 AMA1 variants in pre-and post-treatment samples (n = 330) are shown as a 33 amino acid sequence. The frequencies were calculated by dividing the number of reads of each microhaplotype by the total number of reads obtained per sample (116,187,131).</p> <p><strong>Table S4. Distribution of microhaplotypes among samples.</strong> This table shows the occurrence of microhaplotypes across all participants, both with monoclonal and multiclonal ama1 infections. It presents the ama1 clonality – monoclonal or multiclonal (column 1) - participant IDs (column 2), microhaplotype IDs (column 3), and the relative frequencies of these microhaplotypes across timepoints from 0 to 1008 hours (day 42) (column 3). Dashes represent time points where microhaplotypes were missing or were not detected.</p> <p><strong>Table S5. Distribution of rare microhaplotypes among samples.</strong> This table shows the occurrence of rare microhaplotypes in various samples. It presents participant IDs (column 1), microhaplotype IDs (column 2), and the relative frequencies of these microhaplotypes across time points from 0 to 1008 hours (day 42) (column 3). Samples containing rare microhaplotypes - specifically from PID10, PID32, PID38, PID40, PID49, PID60, PID63, and PID65 - are shown in orange, along with the corresponding rare microhaplotypes and their time points of occurrence. Furthermore, participants are categorised by shared microhaplotypes to indicate instances of rarity and commonality. Except for one microhaplotype unique to PID30, rare microhaplotypes were detected in several samples, frequently exceeding a 5% relative frequency. Dashes represent time points where microhaplotypes were missing or were not detected.</p> <p><strong>Table S6. The parasitemia levels associated with each ama1 microhaplotype per timepoint.</strong> This table shows the parasitemia for each ama1 microhaplotype per timepoint and each participant. “Patient ID” represents the patient ID, “AMA1 COI at 0h” represents the complexity of infection (COI) for each participant at baseline, based on ama1 while subsequent columns represent the parasitemia for each ama1 microhaplotype from timepoint 0h to 1008h. Parasitemia was back-calculated using the COI and total parasitemia for each time point. For time points with a COI > 1, parasitemia for the respective ama1 microhaplotypes are separated by commas, cells in red indicate timepoints without sequencing data (ND = not determined). In contrast, cells in grey indicate time points where microhaplotypes were detected below 10 parasites/μl, hence at risk of falling below the sampling limit.</p> <p><strong>Figure S1. Performance of AmpSeq in the sequencing controls.</strong> Six aliquots were prepared for each control set to ensure sufficient control data in case of PCR or sequencing failure. The median read depth in the lab controls was 5,658 (range 4,310 – 12,603) and 704 (291 – 1,676). The x-axis represents the aliquot identifier across the five mixtures, starting from 1 to 6, while the y-axis represents the proportions of each variant across all aliquots. For ama1 (A), two variants (3D7 and Dd2) were detected, whereas in mdr1 (B), two variants were detected YY, FY and NY following amplification of Dd2 Copy I, Dd2 Copy II and 3D7, respectively. For ama1, sequencing failed for aliquot 6 of control set 1, while for mdr1, sequencing failed for aliquot 2 and 6 of control set 3, aliquots 1 and 6 of control set 4 and aliquots 1 and 5 of control set 5. Under the mdr1 control set 4, the Dd2 copy II (86F, 184Y) was not identified, possibly due to having very low concentrations that were not picked up in this aliquot. Based on our control mixtures, the minimum variant frequency we could detect was 5%.</p> <p><strong>Figure S2. Heatmaps of the successfully PCR amplified and sequenced samples for ama1 (A) and mdr1 (B).</strong> The rows represent the study participants, while the columns represent time in hours. Successfully sequenced samples are shown in blue, those that failed PCR are shown in red and those that failed sequencing are in black. The timepoint “ Rec” represents unscheduled visits where a recurrent sample was collected. The unshaded areas with "-" are time points where samples were not collected. For each time point, the number of samples successfully sequenced (n Successful) is indicated in the last row of each panel. The table in panel C shows the groupings of samples based on parasitemia, high (> 5,000), moderate (100-5,000) and low (< 100 parasites per microlitre). Many samples collected between 0h-12h had high parasitemia, samples collected between 18h–30h had moderate parasitemia, while samples collected after 30h were primarily of low parasitemia.</p> <p><strong>Figure S3. The mean complexity of infection (COI) by AMA1 throughout treatment.</strong> The mean COI (red diamonds) appeared to be stable (between 1.5 - 2) from baseline (0h) up to 72h and thereafter fluctuated due to the small sample sizes (<5) in the post-treatment samples. The black dots represent the COI per sample.</p> <p> </p>
Global map of foliar N:P
<p>Map associated to the manuscript:</p> <p><span>Vallicrosa, H.</span>, <span>Sardans J.</span>, <span>Maspons J.</span>, & <span>Peñuelas J.</span> (<span>2022</span>). <span>Global distribution and drivers of forest biome foliar nitrogen to phosphorus ratios (N:P)</span>. <em>Global Ecology and Biogeography</em>, <span>31</span>, <span>861</span>–<span>871</span>. <a href="https://doi.org/10.1111/geb.13457">https://doi.org/10.1111/geb.13457</a></p> <p> </p>
Phosphate Sensor Search Engine (P-SENSEE) Snapshot
<p>We demosntrate a snapshot of the Phosphate Sensor Search Engine (P-SENSEE) for EuroSensors 2024, which represents a small select fraction of the database collected by our team.</p>
P SENSEE unfiltered literature review results
<p>These are the unfiltered results from the P SENSEE literature meta-analysis for Sanders et al (2024) used to support the proceedings submitted to EuroSensors 2024. </p>
Figure 1. P in Description of Pseudoameiropsis suphankaraytugi sp. nov. (Copepoda: Harpacticoida: Ameiridae) with the first report of the genus Pseudoameiropsis Pallares, 1982 outside of the South Atlantic Ocean
Figure 1. P. suphankaraytugi sp. nov., holotype, ♀, habitus: a) dorsal, b) lateral, c) rostrum.
Two mosquito salivary antigens demonstrate promise as biomarkers of recent exposure to P. falciparum-infected mosquito bites
<p>Measuring malaria transmission intensity using the traditional entomological inoculation rate is difficult. Antibody responses to mosquito salivary proteins such as SG6 have previously been used as biomarkers of exposure to <em>Anopheles</em> mosquito bites. Here, we investigate four mosquito salivary proteins as potential biomarkers of human exposure to mosquitoes infected with <em>P. falciparum</em>: mosGILT, SAMPSP1, AgSAP, and AgTRIO. We tested population-level human immune responses in longitudinal and cross-sectional plasma samples from subjects with known <em>P. falciparum</em> infection from low and moderate transmission areas in Senegal using a multiplexed magnetic bead-based assay. AgSAP and AgTRIO were the best indicators of recent exposure to infected mosquitoes, with antibody responses to AgSAP in a moderate endemic area, and to AgTRIO in both low and moderate endemic areas, significantly higher than healthy non-endemic control cohort (p-values = 0.0245, 0.0064, and <0.0001 respectively). No antibody responses significantly differed between the low and moderate transmission area, or between equivalent groups during and outside the malaria transmission seasons. For AgSAP and AgTRIO, reactivity peaked 2-4 weeks after clinical <em>P. falciparum</em> infection and declined 3 months after infection. Reactivity to both AgSAP and AgTRIO peaked after infection and did not differ seasonally nor between areas of low and moderate transmission, suggesting reactivity is due to exposure to infectious mosquitos or recent biting rather than general mosquito exposure. Kinetics suggest reactivity is relatively short-lived. AgSAP and AgTRIO are promising candidates to incorporate into multiplexed assays for serosurveillance of population-level changes in <em>P. falciparum</em>-infected mosquito exposure.</p>
PfRH5-induced human monoclonal antibodies show broadly neutralizing activity in P. falciparum clinical isolates
<p>Vaccines to the <em>Plasmodium falciparum </em>reticulocyte binding-like protein homolog 5 (PfRH5) target the blood stage of the parasite's life cycle. PfRH5 has the potential to trigger the production of strain-transcendent antibodies and has proven its efficacy both in pre-clinical and early clinical studies. Vaccine-induced monoclonal antibodies (mAbs) to PfRH5 showed promising outcomes in cultured <em>P. falciparum </em>strains from distinct geographic areas. Here, we assessed the functional impact of vaccine-induced mAbs to PfRH5 on the genetically more complex <em>P. falciparum </em>clinical isolates. We used mAbs isolated from single-cell sorted B-cells of volunteers enrolled in the phase 1a (NCT02181088) clinical trial of the viral-vectored PfRH5 vaccine and used ex-vivo growth inhibition assays (GIA) to assess their efficacy in <em>P. falciparum </em>clinical isolates. Next-generation sequencing (NGS) was used to assess the breadth of genetic diversity in <em>P. falciparum </em>clinical isolates and to infer the genotype/phenotype relationship involved in antibody susceptibility. We showed a dose-dependent inhibition of clinical isolates with three main GIA groups, high, medium, and low. Except for one isolate, our data shows no significant differences in antibody GIA profile between the <em>P. falciparum </em>clinical isolates and the 3D7 reference strain, which harbours the vaccine allele. We observed an additive relationship, where the combination of GIA-low and GIA-medium antibodies resulted in increased GIA activities, having important implications for the contribution of specific monoclonal antibodies in polyclonal IgG responses. While our NGS analysis showed the occurrence of novel mutations in the <em>pfrh5 </em>gene, these mutations were predicted to have little or no functional impact on the antigen's structure or recognition by known mAbs. Our present findings complement earlier reports on the strain transcendent potential of mAbs to PfRH5 and constitute, to our knowledge, the first report on the susceptibility of <em>P. falciparum </em>clinical isolates from natural infections to vaccine-induced mAbs to PfRH5.</p>
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.