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415 results for “spore”
BMS01 Mycorrhizae spore density and composition in the Belowground Plot Experiment at Konza Prairie
Spore densities of 14 groups (13 species + unknown) were measured the 64 belowground plots (record type 1). Effects of burning, mowing, and N + P additions on spore densities (an index of AM fungi infection rates). Community indices and percent root colonization (record type 2). Effects of burning, mowing, and N + P additions on mycorrhizal community composition and root colonization.
Kelp metapopulations: Semi-annual time series of spore dispersal times among giant kelp patches in southern California, 1996 - 2006
These data describe the estimated dispersal duration of spores of giant kelp, Macrocystis pyrifera, among patches in southern California, USA, from 1996 to 2006. Asymmetrical and dynamic estimates of giant kelp spore dispersal durations among patches were estimated for 6-month periods (January - June and July - Dececember, 1996 - 2006) using minimum mean transit times connecting source and destination connectivity cells in a high-resolution, three-dimensional, spatiotemporally-explicit ocean circulation model (Regional Oceanic Modeling System, ROMS). Minimum transport times between giant kelp patches were assumed to be proportional to minimum transport times between ROMS cells and the alongshore distance between giant kelp patches
Components of spore capture device in "A simple mechanism for uncrewed aircraft bioaerosol sampling in the lower atmosphere"
<p>These STL files enable the 3D printing of the referenced spore capture device. The complete device can be assembled following printing of the: (1) petri dish holder base; (2) lid; and (3) flange. The STL file extension stands for stereolithography, colloquially referred to as Standard Triangle Language or Standard Tessellation Language, and is a popular file format for 3D printing. The 3D models were created, and can be viewed, with CAD software.</p>
Annual and monthly time series of estimated kelp spore dispersal times among ROMS cells in southern California, 1996 – 2006
These data describe the estimated dispersal duration of spores of giant kelp, Macrocystis pyrifera, among connectivity cells in a high-resolution, three-dimensional, spatiotemporally-explicit ocean circulation model (Regional Oceanic Modeling System, ROMS) in southern California, USA, for an 11-year period from the beginning of 1996 to the end of 2006. Asymmetrical and dynamic estimates of giant kelp spore dispersal durations connecting source and destination ROMS cells were estimated on monthly and annual timescales using minimum mean transit times.
Fig. 6. Homalia trichomanoides gametophore bud development. Day 148 in Preliminary Study Of Moss Homalia Trichomanoides (Hedw.) Brid. Gametophyte Development From Spores In Vitro
Fig. 6. Homalia trichomanoides gametophore bud development. Day 148 after inoculation (A) and day 158 after inoculation (B).
Fig. 1 in Spore Dimorphism in Nosema pyrausta (Microsporidia, Nosematidae): from Morphological Evidence to Molecular Genetic Verification
Fig. 1. DAPI fluorescence (A, С) and Nomarski contrast (B, D) of monokaryotic (A, B) and diplokaryotic (C, D) spores of microsporidia detected in Ostrinia nubilalis larvae. Arrows and double arrows indicate single nuclei and diplokarya, respectively. Scale bar = 4 µm.
Customised pre-built Sector-coupled Euro-Calliope Model - Focus on the power sector and additional SPORES options
<p><strong>Customised pre-built Sector-coupled Euro-Calliope Model - Focus on the power sector and additional SPORES options</strong></p> <p><em>Based on the <a href="https://zenodo.org/record/5774988#.YqwqYDJByUk">pre-built Sector-coupled Euro-Calliope model</a> developed by Bryn Pickering</em></p> <p>This model is pre-packaged and ready to be loaded into Calliope, based on 2015 input data. To run the model as done in the associated publication you will need to do the following:</p> <ol> <li>Install a specific conda environment to be working with the correct version of Calliope ( <code>conda env create -f requirements.yml</code> )</li> <li>Run the model including only those scenarios that relate to the power sector and SPORES</li> </ol> <p> </p> <p><strong>Main and parallel batches of SPORES</strong></p> <p>To facilitate this second point and the reproduction of results, you'll find some pre-packaged python script with all and only those model scenarios that allow you to run either the "main batch" of SPORES (<code>spores_model_run.py</code>) or any of the "parallel batches" of SPORES (e.g., <code>excl_bio</code> and <code>max_bio</code>, which generate SPORES while minimising and, respectively, maximising bioenergy deployment).</p> <p> </p> <p><strong>Strength of the anchoring to extremes of the decision space</strong></p> <p>To tweak the strength of the anchoring to a specific technology feature, as we do in the paper, you need to modify the <code>euro_calliope/spores.yaml</code> override file. More precisely, you need to change the <code>excl_score</code> parameter in the objective function at the end of the file:</p> <pre><code class="language-bash">max_mode.run.spores_options.objective_cost_class: {'spores_score': 1, 'monetary': 0, 'excl_score': -1} excl_mode.run.spores_options.objective_cost_class: {'spores_score': 1, 'monetary': 0, 'excl_score': 1}</code></pre> <p>A value of 1 (for maximisation) or -1 (for minimisation) is the default by which we generate the primary results in the paper. By changing it to 0.1, you can reproduce as well the secondary results that we use as a sensitivity for a "weaker anchoring" to extreme technology features of the decision space.</p> <p><br> <strong>Weight-assignment method</strong></p> <p>Finally, to change the weight-assignment method, you need to modify the <code>euro_calliope/eurospores/model.yaml</code> file. More precisely, the <code>scoring_method</code> parameter, which can be one of the following: <code>integer</code>, <code>relative_deployment</code>, <code>random</code> or <code>evolving_average</code>.</p> <pre><code class="language-bash">run.spores_options.scoring_method: integer</code></pre> <p> </p> <p><strong>Hard-coded changes to be aware of</strong></p> <p>The files in this model theoretically allow accounting for all energy sectors (power, heat, transport, industry). Yet, we subset the analysis in the associated publication to only the power sector. To this end, we have modified the original electricity demand file (<code>euro_calliope/eurospores/electricity-demand.csv</code>).</p> <p>In fact, the original file did not account for the fraction of electricity associated with heat, transport or industry consumption, which was instead allocated to sector-specific demand files. In such a way, the model was free to decide whether to electrify these sectoral demands or not. In the present study, instead, we wanted to run our analysis based on the current electricity demand, inclusive of the currently electrified sector-specific demand. Therefore, we have replaced the original file with a new one that includes the present-day electricity demand, with no subtractions.</p> <p>If you want to run the analysis for all sectors, unlike we do in the study, you'll first need to recover the original file. You'll quickly find it in the same folder, named as <code>__electricity-demand.csv</code>.</p> <p><br> <strong>Summary of results from the paper</strong></p> <p>The folder <code>paper_summary_results</code> features some CSV files that summarise the results we obtained for our study across all the different tested search strategies.</p>
Text-fig. 2. Dichotomising terminal shoots of Lepidodendron ophiurus BRONGN. from Brymbo (bed C4). No 2013.43G.147 (National Museum of Wales) (from Thomas et al. 2019). in Why Lycospora Dominated Many Pennsylvanian Spore Assemblages
Text-fig. 2. Dichotomising terminal shoots of Lepidodendron ophiurus BRONGN. from Brymbo (bed C4). No 2013.43G.147 (National Museum of Wales) (from Thomas et al. 2019).
Text-fig. 4. Dispersed megaspores on the surface of 1,000 mm2 of shale at Brymbo (a) with an enlargement showing Lagenicula horrida ZERNDT (b). in Why Lycospora Dominated Many Pennsylvanian Spore Assemblages
Text-fig. 4. Dispersed megaspores on the surface of 1,000 mm2 of shale at Brymbo (a) with an enlargement showing Lagenicula horrida ZERNDT (b).
Text-fig. 1. Lycospora. a: Microspore from the bisporangiate cone Flemingites gracilis CARRUTH. (from Brack-Hanes and Thomas 1983). This type of microspore should be referred to Microspinosporites BEK. b: Flanged microspore from the microsporangiate cone Lepidostrobus binneyanus A.ARBER (from Thomas 1970), same magnification as in (a). c, d: Microscpores from the microsporangiate cone Lepidostrobus brownii (UNGER) SCHIMP. (from Thomas and Bek 2014). in Why Lycospora Dominated Many Pennsylvanian Spore Assemblages
Text-fig. 1. Lycospora. a: Microspore from the bisporangiate cone Flemingites gracilis CARRUTH. (from Brack-Hanes and Thomas 1983). This type of microspore should be referred to Microspinosporites BEK. b: Flanged microspore from the microsporangiate cone Lepidostrobus binneyanus A.ARBER (from Thomas 1970), same magnification as in (a). c, d: Microscpores from the microsporangiate cone Lepidostrobus brownii (UNGER) SCHIMP. (from Thomas and Bek 2014).
Text-fig. 3. Terminal cone attached to Lepidodendron ophiurus BRONGN., leafy shoot. No. 2013.43G.120 (National Museum of Wales). in Why Lycospora Dominated Many Pennsylvanian Spore Assemblages
Text-fig. 3. Terminal cone attached to Lepidodendron ophiurus BRONGN., leafy shoot. No. 2013.43G.120 (National Museum of Wales).
Data from: Global Spore Sampling Project: A global, standardized dataset of airborne fungal DNA
<p><span>Novel methods for sampling and characterizing biodiversity hold great promise for re-evaluating patterns of life across the planet. The sampling of airborne spores with a cyclone sampler, and the sequencing of their DNA, have been suggested as an efficient and well-calibrated tool for surveying fungal diversity across various environments. Here we present data originating from the Global Spore Sampling Project, comprising 2,768 samples collected during two years at 47 outdoor locations across the world. Each sample represents fungal DNA extracted from 24 m<sup>3</sup> of air. We applied a conservative bioinformatics pipeline that filtered out sequences that did not show strong evidence of representing a fungal species. The pipeline yielded 27,954 species-level operational taxonomic units (OTUs). Each OTU is accompanied by a probabilistic taxonomic classification, validated through comparison with expert evaluations. To examine the potential of the data for ecological analyses, we partitioned the variation in species distributions into spatial and seasonal components, showing a strong effect of the annual mean temperature on community composition.</span></p> <p><span>The database is organized in five datasets in a csv format (columns separated by commas): (1) metadata providing the location, date, and time for each sample, along with sequencing depth and other essential information (metadata.csv); (2) species-level OTU tables per sample describing the number of sequences assigned to each species (otu.table.csv 3); (3) taxonomic classification of each species-level OTU (taxonomy.csv); (4) closest matching sequences and their taxonomy for ASVs in putatively fungal pseudophyla, which are included in (2) and (3) (fungi_pseudophyla.csv); and (5) closest matching sequences and their taxonomy for ASVs in putatively non-fungal pseudophyla, which are not included in the other datasets (nonfungi_pseudophyla.csv). The first four datasets can be linked to each other using the unique sample codes and the unique identifiers for species-level OTUs. </span><span>The three first datafiles are also provided in allData.RData which can be read into R as load("allData.RData").</span></p>
Fig. 5 in The immunological characteristics and probiotic function of recombinant Bacillus subtilis spore expressing Clonorchis sinensis cysteine protease
Fig. 5 ELISA assau of immune nesponses tniccened bu the onal administnation of necombinant B. subtilis spones. Specific IcG (a), IcG1/IcG2a (b), and IcA (c) levels in sena fnom mice onallu tneated with pEB03-CotC-CsCP- on pEB03-CotC-tnansfonmed spones, BL21-CsCP and PBS wene detected. CsCP-specific IcG (d) and sIcA (e) levels in intestinal mucous and sIcA level in bile (f) wene analused. Data ane expnessed as the mean ± SD. Statistical sicnificance was analused bu the Student's t-test (*P <0.05; **P <0.01). Abbreviations: B.s-CotC-CP, WB600 containinc pEB03-CotC-CsCP; B.s-CotC, WB600 containinc pEB03-CotC; BL21-CP, BL21 hanbouninc pET28a-CsCP
Fig. 3 in The immunological characteristics and probiotic function of recombinant Bacillus subtilis spore expressing Clonorchis sinensis cysteine protease
Fig. 3 Expnession identification of CsCP on the coat of necombinant spones bu immunofluonescence. The B. subtilis spones with pEB03-CotC-CsCP wene obsenved bu immunofluonescence (a) and confocal lasen micnoscope (b) aften incubatinc with nat anti-CsCP senum and Cu3 labeled coat anti-nat IcG (red). The nucleus was stained with DAPI (blue). Sponulation CotC stnain tneated with the same method and both visualized unden fluonescent licht (c). All spones above wene obsenved unden bnicht field (BF) as well. Abbreviations: B.s-CotC-CP, WB600 containinc pEB03-CotC-CsCP; B.s-CotC, WB600 hanbouninc pEB03-CotC. Scale-bars: a, c, 50 μm; b, 2 μm
Fig. 4 in The immunological characteristics and probiotic function of recombinant Bacillus subtilis spore expressing Clonorchis sinensis cysteine protease
Fig. 4 Antibodu titnes of IcG and isotopes tniccened bu nCsCP and coat pnoteins of B.s-CotC-CsCP spones via subcutaneous immunization noute. ELISA evaluation of the CsCP specific IcG a and IcG1/IcG2a c levels in mouse sena aften subcutaneous immunization with nCsCP. b Antibodu titnes of IcG induced bu nCsCP at week 6. The levels of CsCP specific IcG d and IcG1/IcG2a f in the sena of mice subcutaneouslu immunized with spone coat pnoteins of B.s-CotC-CsCP. Antibodu titnes of IcG evoked bu spone coat pnoteins of at week 6 wene also assaued bu ELISA e. Data wene displaued as the mean ± SD. *P <0.05; **P <0.01; ***P <0.001. Abbreviations: B.s-CotC-CP, WB600 containinc pEB03-CotC-CsCP; B.s-CotC, WB600 containinc pEB03-CotC; nCP, punified nCsCP
Fig. 7 in The immunological characteristics and probiotic function of recombinant Bacillus subtilis spore expressing Clonorchis sinensis cysteine protease
Fig. 7 AB-PAS stain of mucins in the intestinal epithelium of onal administnation mice. Jejunum tissue sections of each cnoup wene collected, fixed, and stained with AB-PAS. Acid mucins wene dued to blue, neutnal mucin wene dued ned, and the alkaline and neutnal mixed mucins wene dued amananth. Panels a-b, c-d, e-f and g-h indicate PBS, B.s-CotC, BL21-CsCP and B.s-CotC-CsCP onallu administened cnoups at week 4, nespectivelu. Panels (i) and (j) show the B.s-CotC-CsCP cnoup tneated at week 6. Scale-bars: a, c, e, g, i, 200 μm; b, d, f, h, j, 50 μm. The annows indicate acidic mucins secneted bu coblet cells
Fig. 2 in The immunological characteristics and probiotic function of recombinant Bacillus subtilis spore expressing Clonorchis sinensis cysteine protease
Fig. 2 Expnession and identification of nCsCP and CotC-CsCP. a SDS-PAGE analusis of CsCP expnessed in E. coli BL21 and B. subtilis spones. The moleculan mass of CotC-CsCP fusion pnotein was appnoximatelu 43.8 kDa. Abbreviations: B.s-CotC-CP, WB600 containinc pEB03-CotC-CsCP; B.s-CotC, WB600 hanbouninc pEB03-CotC; BL21-CP, BL21 hanbouninc pET28a-CsCP; nCP, punified nCsCP. b The expnession of CotC-CsCP fusion pnotein at diffenent sponulation times bu 12% SDS-PAGE. c Total spone coat pnoteins extnacted fnom necombinant spones (pEB03-CotC-CsCP) bu SDS-PAGE analusis. d Identification of CotC-CsCP fusion pnotein bu MS. e MALDI-TOF/TOF-MS analusis of punified nCsCP. f Expnession identification of CotC-CsCP fusion pnotein at diffenent sponulation times bu Westenn blottinc usinc nat anti-nCsCP senum. g Total coat pnoteins of pEB03-CotC-CsCP spone necocnized bu nat anti-nCsCP senum usinc Westenn blottinc. Abbreviations: P, pnecipitation; S, supennatant
Fig. 6 in The immunological characteristics and probiotic function of recombinant Bacillus subtilis spore expressing Clonorchis sinensis cysteine protease
Fig. 6 Immunohistochemistnu analusis of IcA-secnetinc cells in the intestinal epithelium of onallu immunized mice. IcA-secnetinc cells wene stained dank bnown. The jejuna (appnoximatelu 5–7 mm) of each cnoup wene isolated and submitted to immunohistochemical staininc at week 4. Panels (a) and (b) nepnesent PBS-tneated mice. Panels (c) and (d) nepnesent B.s-CotC onallu administened mice. Panels (e) and (f) nepnesent BL21-CsCP cavaced mice. Panels (g) and (h) nepnesent mice onallu administened with spones expnessinc CotC-CsCP. Scale-bars: a, c, e, g, 200 μm; b, d, f, h, 50 μm. The annows indicate IcA-secnetinc cells. i Intecnated option densitu (IOD) of IcA-secnetinc cells. ***P <0.001
Fig. 1 in The immunological characteristics and probiotic function of recombinant Bacillus subtilis spore expressing Clonorchis sinensis cysteine protease
Fig. 1 Schematic of the tneatment necimen. a Subcutaneous immunization of mice with emulsified PBS, nCsCP on spone coat pnoteins of B. s-CotCCsCP administened thnee times. Senum samples wene collected at 2, 4, 6 and 8 weeks. b Onal administnation of mice with PBS, spones of B.s-CotC on B.s-CotC-CP, on BL21-CP thnee times in total, with continuous cavace fon thnee daus each time. Senum, intestine and bile samples wene collected evenu 2 weeks. Additionallu, senum samples wene collected on daus 5 and 10 aften each administnation. Abbreviations: B.s-CotC-CP, WB600 containinc pEB03-CotC-CsCP; B.s-CotC, WB600 hanbouninc pEB03-CotC; BL21-CP, BL21 hanbouninc pET28a-CsCP
Figure 3 in Dynamics of arbuscular mycorrhizal fungi in relation to root colonization, spore density, and soil properties among different spreading stages of the exotic plant threeflower beggarweed (Desmodium triflorum) in a ZoysiO tenuifoliO lawn
Figure 3. Dynamics of the soil arbuscular mycorrhizal fungal spore density within Desmodium triflorum coverage levels and seasons.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.