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dryad36/100

Diet composition and selection of Père David's deer in Hubei Shishou Milu National Nature Reserve, China

<p><span>Hubei Shishou Milu National Nature Reserve is an ideal place to restore the wild population of Père David's deer (<em>Elaphurus davidianus</em>). </span><span>Understanding foraging ecology and diet composition is essential for assessing population development or establishing long-term effective conservation measures for endangered species.</span> <span>However, little is known about </span><span>the diet composition of </span><span>Père David's deer</span><span> and its diet selection mechanism</span><span>.</span> <span>In this study</span><span>, we used stable isotope technology to investigate the </span><span>diet</span><span> composition of Père David's deer according to various tissues (i.e., fur, muscle, liver, heart, and feces) and seasons, and evaluated the correlation between the nutrient composition of plants and </span><span>diet</span><span> composition</span><span>.</span> <span>Bayesian isotope analysis </span><span>showed that the autumn and winter diet estimated by fur and fecal samples indicated a diet dominated by C3 grasses (42.7 to 57.2%, mean), while the summer diet estimated by muscle and liver samples was dominated by C<sub>3</sub> forbs (30.9 to 41.6%, mean).</span> <span>The Pearson correlation test indicated</span><span> that the contribution of winter diet composition reflected by fur and fecal samples</span><span> was associated with correlations with crude protein (r = 0.666, P &lt; 0.01) and soluble sugars (r = 0.695, <em>P</em> &lt; 0.01). </span><span>The results indicated that crude protein and soluble sugars were important factors influencing the winter </span><span>diet selection</span><span> of Père David's deer.</span> <span>In the context of the current reintroduction facing many challenges, such as habitat fragmentation, wetland degradation, and human disturbance</span><span>,</span> <span>comprehensively evaluating the diet selection mechanism of Père David's deer under different resource</span> <span>specificities and temporal changes should be considered in the future</span><span>.</span></p>

opencc-zeroJan 2023View details →
zenodo36/100

Dataset for publication Sikora P., Woliński P., Chougan M., Madraszewski S., Węgrzyński W., Papis B.K., Federowicz K., Ghaffar S.H., Stephan D. A systematic experimental study on biochar-cementitious composites: Towards carbon sequestration. Industrial Crops and Products (2022) 184, 115103

<p>Open Dataset of: TG, XRD data and Origin file (*.opju) of particle size distribution, calorimetry, compressive strength (mortar + paste), water absorption coefficient/open porosity from publication Sikora P., Woliński P., Chougan M., Madraszewski S., Węgrzyński W., Papis B.K., Federowicz K., Ghaffar S.H., Stephan D. A systematic experimental study on biochar-cementitious composites: Towards carbon sequestration. Industrial Crops and Products (2022) 184, 115103. https://doi.org/10.1016/j.indcrop.2022.115103<br> 122758</p>

opencc-by-4.0Jan 2023View details →
dryad36/100

Data from: Initial ecological change in plant and arthropod community composition after wildfires in designated areas of upland peatland

<p>This dataset is published in conjunction with the publication of : Kelly, R., Montgomery, W. I., &amp; Reid, N. (2022) Initial ecological change in plant and arthropod community composition after wildfires in designated areas of upland peatland. <em>Ecology and Evolution, </em>and contains the environmental, botanical and entomological datasets underpinning the analysis contained there in. Additionally, it contains datasets on seedbanks and bird species which were collected as part of the Northern Ireland Environment Agency funded project 'Quantifying the impact of wildfires in the Northern Ireland' from 2012 to 2015 (see: <a href="https://www.daera-ni.gov.uk/publications/quantifying-impact-wildfires-northern-ireland-final-report-2016">https://www.daera-ni.gov.uk/publications/quantifying-impact-wildfires-northern-ireland-final-report-2016</a>)</p> <p>This data underpins the following publications which discuss the impacts of wildfires at these key upland sites in Northern Ireland: </p> <ul> <li>Kelly, R., Boston, E., Montgomery, W. I., &amp; Reid, N. (2016). The role of the seed bank in recovery of temperate heath and blanket bog following wildfires. Applied Vegetation Science, 19(4), 620-633.  <a href="https://doi.org/10.1111/avsc.12242">https://doi.org/10.1111/avsc.12242</a> </li> <li>Kelly, R., Montgomery, W. I., &amp; Reid, N. (2018). Differences in soil chemistry remain following wildfires on temperate heath and blanket bog sites of conservation concern. Geoderma, 315, 20-26. - <a href="https://doi.org/10.1016/j.geoderma.2017.11.016" rel="noreferrer noopener" title="Persistent link using digital object identifier">https://doi.org/10.1016/j.geoderma.2017.11.016</a> </li> <li>Reid, N., Kelly, R. &amp; Montgomery, W.I. (2022) Impact of wildfires on ecosystems and bird communities on designated areas of blanket bog and heath. Bird Study (In press)</li> <li>Kelly, R., Montgomery, W. I., &amp; Reid, N. (2022) Initial ecological change in plant and arthropod community composition after wildfires in designated areas of upland peatland. Ecology and Evolution. (In press)</li> </ul> <p>Data were collected and collated by Ruth Kelly (ruth.kelly@afbini.gov.uk/ruthkelly123@gmail.com) in collaboration with Dr. Neil Reid, Dr. Emma Boston, Prof. W.I. Montgomery (Queen's University Belfast) and Dr. Damian Mc Ferran (National Museums of Northern Ireland). We are also very grateful to Roy Anderson, Orla McLaughlin, Anna Hart, Rachel Hamill, Adam Mantell, Tony Smith, Joanne Denyer and Richard Weyl for their expertise and assistance in species identification, and to Gillian Riddell, Caroline Finlay, Florentine Spaans, Jeremy Adelard, Marion Chapalain, Alice McPherson, Claire McVeigh, Amber Woods and Rachel Hamill for assistance and expertise in the laboratory and field. </p>

opencc-zeroJan 2023View details →
dryad36/100

Effects of Atractylodes Macrocephala Rhizoma polysaccharide on intestinal microbiota composition in rats with mammary gland hyperplasia

<p class="MsoNormal"><strong><span>Background</span></strong><span>: In recent years, Mammary gland hyperplasia (MGH) </span><span>has been</span><span> considered to be one of the diseases caused by endocrine disorders. It has been shown that diseases caused by endocrine disorders can be treated by regulating intestinal microbial. As a commonly used medicine in clinical practice, <em>Atractylodes </em></span><em><span>M</span></em><em><span>acrocephala Rhizoma</span></em><span> has good functions in regulating intestinal homeostasis. Therefore, this paper studied the effect of <em>Atractylodes </em></span><em><span>M</span></em><em><span>acrocephala Rhizoma</span></em><span> polysaccharide (AMP), on the intestinal flora of MGH rats, providing a new idea for polysaccharide treatment of MGH.</span></p> <p class="MsoNormal"><strong><span>Materials and methods</span></strong><span>: </span><span>Eighteen</span><span> female SD rats were selected and randomly divided into three groups, blank control group (Con), model control group (Mod) and AMP group, six rats in each group. MGH rat models were established by estradiol-progesterone combination and treated with AMP gastric infusion. The levels of E<sub>2</sub>, P and PRL in the serum of rats were measured, the intestinal contents were collected, and 16s rRNA high-throughput sequencing technology was used to analyze the changes of intestinal flora in the MGH rats.</span></p> <p class="MsoNormal"><strong><span>Results</span></strong><span>: AMP has good therapeutic effects on MGH rats, decreasing estradiol (E<sub>2</sub>) and prolactin (PRL) levels and increasing progesterone (P) levels, at the same time, it can regulate the abundance and diversity of intestinal flora of MGH rats, improve the disorder of intestinal flora caused by MGH </span><span>and </span><span>change the community structure, increase the abundance of beneficial flora and decrease the abundance of pathogenic flora.</span></p> <p class="MsoNormal"><strong><span>Conclusion</span></strong><span>: AMP can improve the intestinal microbiological environment of MGH rats, maintain the microecological balance of intestinal microbial</span><span>, and improve MGH symptoms</span><span>.</span></p>

opencc-zeroJan 2023View details →
zenodo36/100

Identifying serpentine minerals by their chemical compositions with machine learning (dataset and python code)

<p>The dataset and python code for the manuscript of&nbsp;Identifying serpentine minerals by their chemical compositions with machine learning (submitted to American Geologist)</p>

opencc-by-4.0Jun 2022View details →
zenodo36/100

Multi-agent multi-mode composite task allocation problem (MACTA) instances

<p><strong>Contents</strong></p> <p>This repository contains all the instances of&nbsp;Multi-agent multi-mode composite task allocation problem (MACTA) used in the AAMAS paper [Picard, 2023].</p> <p>Instances are provided as json files (one per instance), following the provided schema (see <code>macta_schema.json</code>). Files are contained in subdirectories following the <code>&lt;n&gt;_modes/&lt;m&gt;_requests_per_user/instance_&lt;i&gt;.json</code> pattern, where <code>&lt;n&gt;</code> is the number of modes per requests (1 or 5), <code>&lt;m&gt;</code> is the number of requests per user (between 2 and 30 by step of 2), and <code>&lt;i&gt;</code> is the instance number.</p> <p><strong>Acknowledgements</strong></p> <p>This work has been performed with the support of the French government in the context of the &quot;Programme d&#39;Invertissements d&#39;Avenir&quot;, namely by the BPI PSPC LiChIE project (Lion Chaine Image Elargie), coordinated by Airbus Defence and Space.</p> <p><strong>References</strong></p> <p>Picard, G. (2023). Multi-agent consensus-based bundle allocation for multi-mode composite tasks. In <em>International Conference on Autonomous Agents and Multiagent Systems (AAMAS-23)</em>. IFAAMAS.</p>

opencc-by-4.0Jan 2023View details →
zenodo36/100

Biomarker indices and concentrations and biomarker-based temperature estimates from the Iberian Margin core MD95-2042, composite atmospheric temperature record from Greenland, and stacks of delta 18Oice and atmospheric temperature records from three Antarctic sites

<p>Core MD95-2042 alkenone and GDGT data: This dataset provides the following information for core MD95-2042: depth, age, summed OH-GDGT, iGDGT, and di-unsaturated and tri-unsaturated C<sub>37</sub> alkenone concentrations, OH-GDGT-based, iGDGT-based, and alkenone-based paleothermometric indices, GDGT-2/GDGT-3 ratio, and biomarker-based sea surface temperature (SST) and 0‐ to 200‐m sea temperature (subT; gamma function probability distribution for target temperatures with a = 4.5 and b = 15) estimates. Sediment samples were taken every 5 cm from core MD95-2042 and homogenized before lipid extraction. The lipid extracts were splitted into two fractions: one for alkenone analysis by gas chromatography coupled to a flame ionization detector, and the other for GDGT analysis by high-performance liquid chromatography coupled to mass spectrometry. All GDGT analyses were done in duplicate. The 1&sigma; analytical uncertainties from 37 replicate analyses of the core catcher sample from core MD95-2042 are 0.007 (0.4 &deg;C) for RI-OH, 0.008 (0.2 &deg;C) for RI-OH&prime;, 0.003 (0.2 &deg;C) for TEX<sub>86</sub>, 0.238 for GDGT-2/GDGT-3, and 0.010 (0.26 &deg;C) for U<sup>K&prime;</sup><sub>37</sub>. RI-OH&prime;-SST estimates are from the following global calibration: SST = (RI-OH&prime; + 0.029)/0.0422 (Fietz et al., 2020). RI-OH-SST estimates are from the following global calibration: SST = (RI-OH &minus; 1.11)/0.018 (L&uuml; et al., 2015). TEX<sub>86</sub><sup>H</sup>-SST estimates are from the following regional paleocalibration: SST = 68.4 &times; TEX<sub>86</sub><sup>H</sup> + 33.0 (Darfeuil et al., 2016). U<sup>K&prime;</sup><sub>37</sub>-SST estimates are from the following global calibration: SST = 29.876 &times; U<sup>K&prime;</sup><sub>37</sub> &minus; 1.334 (Conte et al., 2006). Bayesian calibrations were also used for TEX<sub>86</sub>-SST and TEX<sub>86</sub>-subT estimates (BAYSPAR; Tierney &amp; Tingley, 2014, 2015) and for U<sup>K&prime;</sup><sub>37</sub>-SST estimates (BAYSPLINE; Tierney &amp; Tingley, 2018). Alkenone data covering the 160&ndash;70 and 70&ndash;0 ka BP periods are from Davtian et al. (2021) and Darfeuil et al. (2016), respectively. GDGT data covering the 160&ndash;45 ka BP period are from Davtian et al. (2021). The age model of core MD95-2042 for the 160&ndash;43 and 43&ndash;0 ka BP periods was obtained by tuning to Chinese speleothems (Cheng et al., 2016) and by recalibrating existing <sup>14</sup>C ages with the Marine20 calibration curve (Heaton et al., 2020), respectively. MIS, Marine Isotope Stage; GDGT, glycerol dialkyl glycerol tetraether; and N/A, not available.</p> <p>Greenland atmospheric temperature record: This dataset consists in a composite Greenland atmospheric temperature record, which was built with the following records: the GISP2 atmospheric temperature record by Kobashi et al. (2017) for the 10&ndash;0 ka BP period, the NGRIP atmospheric temperature record by Kindler et al. (2014) for the 120&ndash;10 ka BP period, and the NEEM atmospheric temperature record by NEEM community members (2013) for the 129&ndash;120 ka BP period. The NEEM temperature anomalies obtained by NEEM community members (2013) were shifted by &ndash;31 &deg;C to obtain absolute air temperatures. The employed age model is the one of Davtian and Bard (2023) for Greenland and Antarctic ice-core records.</p> <p>Antarctic &delta;<sup>18</sup>O<sub>ice</sub> and atmospheric temperature stacks: This dataset consists in two stacks of three Antarctic records (EDC, EDML, and WD), one for &delta;<sup>18</sup>O<sub>ice</sub> and the other for atmospheric temperature: both stacks are provided with their stacking uncertainties. To build the Antarctic &delta;<sup>18</sup>O<sub>ice</sub> stack, the Antarctic &delta;<sup>18</sup>O<sub>ice</sub> records were resampled every 10 years before centering to zero means and normalization to unit standard deviations over the 140&ndash;0 ka BP period (68&ndash;0 ka BP for WD). To optimize the continuity between the portions with and without the WD ice core, the Antarctic &delta;<sup>18</sup>O<sub>ice</sub> records were centered to zero means over the 68&ndash;67 ka BP period. The resulting Antarctic &delta;<sup>18</sup>O<sub>ice</sub> records were then averaged and stacking uncertainties were calculated as the pooled standard deviation of the stacked Antarctic &delta;<sup>18</sup>O<sub>ice</sub> records divided by the square root of the number of stacked Antarctic &delta;<sup>18</sup>O<sub>ice</sub> records. The final Antarctic &delta;<sup>18</sup>O<sub>ice</sub> stack, expressed in &permil;, has the same standard deviation as the &delta;<sup>18</sup>O<sub>ice</sub> record from EDML over the 140&ndash;0 ka BP period, and has a zero mean over the 1&ndash;0 ka BP. The Antarctic atmospheric temperature stack was built like the Antarctic &delta;<sup>18</sup>O<sub>ice</sub> stack, except that the Antarctic &delta;<sup>18</sup>O<sub>ice</sub> records were corrected for seawater &delta;<sup>18</sup>O<sub>ice</sub> variations before conversion into atmospheric temperature. The employed age model is the one of Davtian and Bard (2023) for Greenland and Antarctic ice-core records.</p>

opencc-by-4.0Jan 2023View details →
dryad36/100

Diet composition of moose (Alces alces) in winter, Sweden

<p><span>1. </span><span>Differences in botanical diet compositions among a large number of moose fecal samples </span><span>collected during winter correlated with the nutritional differences identified in the same </span><span>samples </span><span>(Mantel-r = 0.89, p = 0.001)</span><span>, but the nutritional differences were significantly smaller </span><span>(p &lt; 0.001)</span><span>.</span></p> <p><span>2. Nutritional geometry revealed that moose mixed Scots pine <em>Pinus sylvestris</em> and <em>Vaccinium</em> </span><span>spp. as nutritionally complementary foods to reach a nutritional target resembling <em>Salix</em> spp. </span><span>twigs, and selected for <em>Salix</em> spp. browse (Jacob's D &gt; 0).</span></p> <p><span>3. Available protein (AP) and total non-structural carbohydrates (TNC) were significantly </span><span>correlated in observed diets but not in hypothetical diets based on food availability.</span></p> <p><span>4. The level of Acetoacetate in moose serum (i.e., 'starvation') was weakly negatively </span><span>associated with digestibility of diets (p = 0.08) and unrelated to increasing AP:TNC and </span><span>AP:NDF ratios in diets (p &gt; 0.1).</span></p> <p><span>5. Our study is the first to demonstrate complementary feeding in free-ranging moose to attain a </span><span>nutritional target that has previously been suggested in a feeding trial with captive moose. </span><span>Our results add support to the hypothesis of nutritional balancing as a driver in the nutritional </span><span>strategy of moose with implications for both the management of moose and food resources.</span></p>

opencc-zeroFeb 2023View details →
zenodo36/100

Dataset for scanning electron microscopy based local fiber volume fraction analysis of non-crimp fabric glass fiber reinforced composites

<p>SEM data sets, Matlab codes, and output from the local fiber volume fraction&nbsp;analysis from the publications:</p> <p>Mortensen, U.A., Rasmussen, S., Mikkelsen, L.P., Fraisse, A., Andersen, T.L. The impact of the fibre volume fraction on the fatigue performance of glass fiber composites used in the wind turbine industry, <em>Composites Part A</em>, submitted Dec 2022.</p> <p>Mikkelsen, Lars P., F&aelig;ster, S., Dahl, V.A. Dataset for scanning electron microscopy based local fiber volume fraction analysis of non-crimp fabric glass fiber reinforced composites. <em>Data in Brief</em>, Submitted, 2023.</p> <p>to where a reference should be given.&nbsp;</p> <p>The files are structured in the following way.</p> <ul> </ul> <p>L1, L2:&nbsp;Low FVF cases 1 and 2; see the publication.<br> H1, H2: High FVF case 1 and 2; see the publication.</p> <p>SEM images:</p> <ul> <li>*.bmp: Single SEM scan</li> <li>*.bmp.hdr: settings for single SEM scan</li> <li>*.tif: Stitched SEM scan</li> <li>*.tif.hdr: settings for stitched SEM scan</li> </ul> <p>*_BundleAnalysis.m: Script for manual segmentation of the individual bundles.</p> <ul> <li>*.zip files: Functions used by the ..._BundleAnalysis.m scripts</li> <li>*-CURVES_AND_AREAS.mat: Matlab saving of bundle definitions used by the ...BUndlesAnalysis.m script</li> <li>*BWbundles.mat: Output from the _BundleAnalysis.m script</li> </ul> <p>*.m: Local fiber volume fraction analysis script of SEM-scan based on output from BundleAnalysis tool</p> <ul> <li>Figxx.png:&nbsp; Reference to specific figures in the publications shown for all 4 cases</li> <li>Fig7.m: Matlab script for plotting figure 7</li> </ul> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jan 2022View details →
dryad36/100

nRCFV: A sequence, taxon and character state-normalised metric for the pre-reconstruction evaluation of compositional heterogeneity

<p><strong><span>Motivation</span></strong></p> <p><span>Compositional heterogeneity – when the proportions of nucleotides and amino acids are not broadly similar across the dataset – is a cause of a great number of phylogenetic artefacts. Whilst a variety of methods can identify it post-hoc, few metrics exist to quantify compositional heterogeneity prior to the computationally intensive task of phylogenetic tree reconstruction. Here we assess the efficacy of one such existing, widely used, metric: Relative Composition Frequency Variability (RCFV), using both real and simulated data.</span></p> <p><strong><span>Results</span></strong></p> <p><span>Our results show that RCFV can be biased by sequence length, the number of taxa, and the number of possible character states within the dataset. However, we also find that missing data does not appear to have an appreciable value on RCFV. We discuss the theory behind this and the consequences of this for the future of the usage of the RCFV value and propose a new metric, nRCFV, which accounts for these biases. Alongside this, we present a new software that easily calculates both RCFV and nRCFV, called nRCFV_Reader.</span></p> <p><strong><span>Availability and Implementation</span></strong></p> <p><span>nRCFV has been implemented in RCFV_Reader, available at: </span><a href="https://github.com/JFFleming/RCFV_Reader"><span>https://github.com/JFFleming/RCFV_Reader</span></a><span>. Both our simulation and real data are available in this dataset.</span></p>

opencc-zeroJan 2023View details →
dryad36/100

Preparation and tribological properties of multi-layer graphene/silicon dioxide composites-based solid lubricant coatings at elevated temperatures

<p class="MsoNormal"><span>The</span><span> </span><span>solid</span><span> </span><span>lubricating</span><span> </span><span>coatings</span><span> </span><span>have</span><span> </span><span>an</span><span> </span><span>important</span><span> </span><span>role</span><span> </span><span>in</span> hot metal forming. However, traditional lubricants can<span>'</span><span>t be</span> applied to the harsh working conditions. In this investigation, the<span> </span><span>novel</span><span> </span><span>solid</span><span> </span><span>lubricant</span><span> </span><span>coatings</span><span> </span><span>including</span><span> </span><span>multi-layer</span> graphene<span> </span><span>(MLG)/silicon</span><span> </span><span>dioxide</span><span> </span><span>(SiO</span><sub><span>2</span></sub><span>)</span><span> </span><span>composites</span><span> </span><span>and </span><span>sodium metaphosphate phosphate were prepared. The high-</span>temperature<span> </span><span>tribological</span><span> </span><span>properties</span><span> </span><span>of</span><span> </span><span>the</span><span> </span><span>solid</span><span> </span><span>lubricant</span> coatings were investigated by friction and wear tester. The experimental<span> </span><span>results</span><span> </span><span>showed</span><span> </span><span>that</span><span> </span><span>SiO</span><sub><span>2</span></sub><span> </span><span>nanoparticles</span><span> </span><span>were</span> evenly grafted by sol<span>–</span><span>gel method on the surface of MLG, </span><span>forming MLG/SiO</span><sub><span>2</span></sub><span> </span><span>composites. MLG/SiO</span><sub><span>2</span></sub><span> </span><span>composites were</span> presented excellent thermal stability at 800°C. In the range of 400<span>–</span><span>800°C, the average coefficient of frictions (COFs) were</span> decreased from 0.3936<span> </span><span>to 0.3663, and then</span><span> </span><span>increased</span><span> </span><span>from</span> 0.3663<span> </span><span>to</span><span> </span><span>0.4226.</span><span> </span><span>Based</span><span> </span><span>on</span><span> </span><span>the</span><span> </span><span>analysis</span><span> </span><span>of</span><span> </span><span>wear</span><span> </span><span>scar,</span><span> </span><span>the</span> lubrication mechanisms of the solid lubricating coatings were proposed.<span> </span><span>The</span><span> </span><span>low</span><span> </span><span>interlayer</span><span> </span><span>shear</span><span> </span><span>of</span><span> </span><span>MLG</span><span> </span><span>and</span><span> </span><span>the</span><span> </span><span>ball</span> bearing of SiO<sub><span>2</span><span> </span></sub><span>nanoparticles are the main reason for the</span> reduction of COFs. In addition, the tribo-chemical reaction film formed on the frictional interface could protect the contact surfaces<span> </span><span>from</span><span> </span><span>severe</span><span> </span><span>damages.</span><span> </span><span>The</span><span> </span><span>findings</span><span> </span><span>would</span><span> </span><span>be</span> beneficial<span> </span><span>for</span><span> </span><span>developing</span><span> </span><span>novel</span><span> </span><span>lubricants</span><span> </span><span>for</span><span> </span><span>hot</span><span> </span><span>metal</span> forming process.</p>

opencc-zeroFeb 2023View details →
dryad36/100

The data table of eleven invasive species in Hungary and Romania: Invasive species' cover, invasive species' traits, basic characteristics, trait composition, functional diversity indices and soil parameters of recipient plant communities

<p>We studied 11 widespread herbaceous invasive alien species of East-Central Europe and their 16 impact metrics (resident plant communities' ecological characteristics, trait composition, functional diversity, and soil parameters) by sampling invaded and similar, uninvaded sites (space-for-time substitution method). Our aim was to (1) investigate the detailed ecological impacts of invasive plants on native plant communities; (2) explore the type of cover-impact relationships across impact metrics and their consistency across species; (3) study whether the cover-impact relationship depends on functional traits of invasive species. We present the data table with the 11 invasive species: the status of the sites (invaded, uninvaded), the cover of invasive species at plot level, the invasive species traits (lifespan, height, SLA, seed mass, clonal spread, flowering duration), community characteristics (species richness and diversity, native vegetation cover and bare ground cover at plot level), trait composition of native plant communities (native vegetation height, CWM height, CWM SLA, CWM seed mass, CWM clonal spread), functional diversity (functional richness, functional evenness, functional divergence, functional distance, RaoQ) and soil properties (N, P, organic C, pH).</p>

opencc-zeroFeb 2023View details →
zenodo36/100

Fig. 13 in A new family Tritogeniidae for the genera Tritogenia and Michalakus, earlier accredited to the composite Microchaetidae (Annelida: Oligochaeta)

Fig. 13. Kazimierzus sp., live specimen. Scale bar = 1 cm. (Photo by S. James)

opencc-by-4.0Apr 2013View details →
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Fig. 14. Microchaetus vernoni Plisko, 1992 in A new family Tritogeniidae for the genera Tritogenia and Michalakus, earlier accredited to the composite Microchaetidae (Annelida: Oligochaeta)

Fig. 14. Microchaetus vernoni Plisko, 1992, paratype, entire length 2.6 m.

opencc-by-4.0Apr 2013View details →
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Fig. 11. Michalakus initus Plisko, 1996 in A new family Tritogeniidae for the genera Tritogenia and Michalakus, earlier accredited to the composite Microchaetidae (Annelida: Oligochaeta)

Fig. 11. Michalakus initus Plisko, 1996, holotype.

opencc-by-4.0Apr 2013View details →
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Fig. 12. Microchaetus papillatus Benham, 1892 in A new family Tritogeniidae for the genera Tritogenia and Michalakus, earlier accredited to the composite Microchaetidae (Annelida: Oligochaeta)

Fig. 12. Microchaetus papillatus Benham, 1892, live juvenile specimen. (Photo by A. Armstrong)

opencc-by-4.0Apr 2013View details →
zenodo36/100

Fig. 2 in A new family Tritogeniidae for the genera Tritogenia and Michalakus, earlier accredited to the composite Microchaetidae (Annelida: Oligochaeta)

Fig. 2. Tritogenia howickiana (Michaelsen, 1913), lectotype (ZMUH V-7658). Scale bar = 5 mm.

opencc-by-4.0Apr 2013View details →
zenodo36/100

An Evaluation of the Hydrolytic Stability of Selected Experimental Dental Matrices and Composites

<p>Materials with potential use as dental restoration should be evaluated in an aggressive environment. Such accelerated aging is widely used in other industries and allows the assessment of service life. In the presented study, three neat resins (UDMA/Bis-GMA/TEGDMA 70/10/20 wt.%, UDMA/Bis-GMA/TEGDMA 40/40/20 wt.% and UDMA/Bis-EMA/TEGDMA 40/40/20 wt.%) and three composites based on these matrices were tested before and after aging protocols (I-7500 cycles, 5 &deg;C and 55 &deg;C, water and 7 days, 60 &deg;C, 0.1&nbsp;M NaOH; II-5 days, 55 &deg;C, water and 7 days, 60 &deg;C, 0.1 M NaOH). Flexural strength (FS), diametral tensile strength (DTS) and hardness (HV) were determined. Applied aging protocols resulted in a decrease in the value of the FS, DTS and HV. Larger changes were noticed for the neat resins. Materials in which the content of bis-GMA was lower or substituted by bis-EMA showed better resistance to degradation. The choice of mixtures with monomers characterized by lower sorption values may favorably affect hydrolytic stability. It was shown that for composites there was a drastic decrease in hardness, which suggests a more superficial effect of the used protocols. However, degradation of the surface layer can result in a growing problem over time given that the mastication processes are an inherent element in the oral environment.</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2022View details →
zenodo36/100

Thermal and percolative analysis of 3D diffuse-interface composite microstructure

<p>This dataset contains supplementary data and utilities of the publication &quot;Data-driven thermal and percolative analysis of 3D diffuse-interface composite microstructure&quot; (<a href="https://doi.org/10.1016/j.matdes.2023.111746">Fathidoost, 2023</a>).</p> <p>This dataset documents homogenized anisotropic thermal conductivity of the corresponding microstructure (identified by volume fraction (Vf) and aspect ratio (Ar)) as a tensor with normalized interface thermal resistance (see Table 1). Voxelized digital microstructures and utilities are also attached for visualizing the overall thermal anisotropy.</p> <p><em>Table 1: The geometrical and thermal parameters employed in the generated microstructures.</em></p> <table> <thead> <tr> <th>Parameters</th> <th>Value (Unit)</th> <th>Type</th> <th>Increment</th> </tr> </thead> <tbody> <tr> <td>Minor principal axes length</td> <td>5 (nm)</td> <td>Constant</td> <td>-</td> </tr> <tr> <td>Aspect ratio,&nbsp;<span class="math-tex">\(A_\mathrm{r}\)</span></td> <td>[1 ,6]</td> <td>Linear</td> <td>1</td> </tr> <tr> <td>Inclusion volume fraction, <span class="math-tex">\(V_\mathrm{f}\)</span></td> <td>[5, 60]</td> <td>Linear</td> <td>5</td> </tr> <tr> <td>Thermal conductivity ratio, <span class="math-tex">\(K_\mathrm{r}\)</span></td> <td>[15, 100]</td> <td>Linear</td> <td>15</td> </tr> <tr> <td>Normalized interface resistance,&nbsp;<span class="math-tex">\(\tilde{R}_\mathrm{s} \)</span></td> <td>[1e-6, 1e10]</td> <td>Logarithmic</td> <td>1e2</td> </tr> </tbody> </table> <p><strong>Notice:</strong> The digital microstructure has been voxelized and stored in the ExodusII format, which can be loaded and visualized by the post-processing software, such as ParaView. In order to perform the homogenization, interface smoothening is required, i.e., to generate diffuse interfaces. In this work, we smoothened the interface by operating transient Allen-Cahn calculation with finite timesteps. Sec. 2.1 of the publication for more information).</p>

opencc-by-nc-4.0Sep 2022View details →
zenodo36/100

Dissolved storage glycans shaped the community composition of abundant bacterioplankton clades during a North Sea spring phytoplankton bloom

<p>In 2020 we sampled a complete spring bloom in the German Bight over a 90-day period. Bacterioplankton metagenomes from 30 time-points allowed reconstruction of 251 metagenome-assembled genomes (MAGs). Corresponding metatranscriptomes highlighted 50 particularly active MAGs of the most abundant clades. Saccharide measurements together with bacterial polysaccharide utilization loci (PUL) expression data identified &beta;-glucans (diatom laminarin) and &alpha;-glucans as the most prominent dissolved polysaccharide substrates metabolized by the bacterioplankton. Here we are depositing all supporting environmental data for the analyzed &nbsp;2020 Helgoland spring algal bloom. This includes physicochemical data, data on algal abundances and biovolumes, data on copepod and flagellate abundances, data on monosaccharide and antibody-based polysaccharide measurements, and 16S rRNA-based bacterial diversity data. The corresponding metagenome, metatranscriptome and MAG sequence data of this project are available from the European Nucleotide Archive (accession PRJEB52999).</p>

opencc-by-4.0Mar 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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