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12,393 results for “Materiality”
Supplementary materials for Weiss et al, 2020, Neuron Volume 105 issue 1
<p>Supplementary materials for the paper "<a href="https://doi.org/10.1016/j.neuron.2019.10.006">Human Olfaction without Apparent Olfactory Bulbs</a>". by Weiss et al, published in Neuron Volume 105 Issue 1, pages 35-45.</p>
Supplementary materials for Perl et al 2019
<p>Supplementary dataset for Perl et al, 2019, "Human non-olfactory cognition phase-locked with inhalation", published in Nature Human Behavior</p>
Supplementary materials for Arzi et al 2012: Humans can learn new information during sleep
<p>Supplementary materials for Arzi et al 2012: Humans can learn new information during sleep:</p> <p> </p> <p>Arzi, A., Shedlesky, L., Ben-Shaul, M. <em>et al.</em> Humans can learn new information during sleep. <em>Nat Neurosci</em> <strong>15, </strong>1460–1465 (2012). https://doi.org/10.1038/nn.3193</p>
Supplementary materials for Yeshurun et al 2009: The Privileged Brain Representation of First Olfactory Associations
<p>Supplementary materials for Yeshurun et al 2009: The Privileged Brain Representation of First Olfactory Associations:</p> <p>Yaara Yeshurun, Hadas Lapid, Yadin Dudai, Noam Sobel,<br> The Privileged Brain Representation of First Olfactory Associations,<br> Current Biology,<br> Volume 19, Issue 21,<br> 2009,<br> Pages 1869-1874,<br> ISSN 0960-9822,<br> https://doi.org/10.1016/j.cub.2009.09.066.<br> (http://www.sciencedirect.com/science/article/pii/S0960982209018570)<br> Abstract: Summary<br> Authors [1], poets [2], and scientists 3, 4, 5, 6 have been fascinated by the strength of childhood olfactory memories. Indeed, in long-term memory, the first odor-to-object association was stronger than subsequent associations of the same odor with other objects [7]. Here we tested the hypothesis that first odor associations enjoy a privileged brain representation. Because emotion impacts memory 8, 9, 10, we further asked whether the pleasantness of an odor would influence such a representation. On day 1, we associated the same visual objects initially with one, and subsequently with a second, set of pleasant and unpleasant olfactory and auditory stimuli. One week later, we presented the same visual objects and tested odor-associative memory concurrent with functional magnetic resonance brain imaging. We found that the power (% remembered) of early associations was enhanced when they were unpleasant, regardless of whether they were olfactory or auditory. Brain imaging, however, revealed a unique hippocampal activation for early olfactory but not auditory associations, regardless of whether they were pleasant or unpleasant. Activity within the hippocampus on day 1 predicted the olfactory but not auditory associations that would be remembered one week later. These findings confirmed the hypothesis of a privileged brain representation for first olfactory associations.<br> Keywords: SYSNEURO<br> </p>
Supplementary materials for Plotkin-Sela et al 2010: Sniffing enables communication and environmental control for the severely disabled
<p>Supplementary materials for Plotkin-Sela et al 2010:</p> <p>Sniffing enables communication and environmental control for the severely disabled</p> <p>Anton Plotkin, Lee Sela, Aharon Weissbrod, Roni Kahana, Lior Haviv, Yaara Yeshurun, Nachum Soroker, Noam Sobel</p> <p>Proceedings of the National Academy of Sciences Aug 2010, 107 (32) 14413-14418; DOI: 10.1073/pnas.1006746107</p>
PhD thesis supporting material
<p>This dataset contains the archive of the supporting code and simulation data for my doctoral thesis at the University of Bonn available here (http://hdl.handle.net/20.500.11811/8443).</p>
Supplementary material for the publication: J. D. Nixon, K. Bhargava and E. Gaura, Analysis of standalone solar streetlights for improved energy access in displaced settlements, 2020.
<p>The dataset deposited here was prepared under the EPSRC-funded <a href="http://heed-refugee.coventry.ac.uk/">Humanitarian Engineering and Energy for Displacement</a> research project (EP/P029531/1). The project aimed to understand energy needs of displaced communities, create an evidence base on the usage of different energy interventions and provide recommendations for improved design of future energy interventions to better meet the needs of people.</p> <p>As part of the project, we deployed 11 advanced solar streetlights, with additional energy access provided by ground-level AC sockets, at two project sites: Gihembe refugee camp, Rwanda (4 lights) and Uttargaya settlement, Nepal (7 lights), in July 2019. The aim of this study was to (a) identify best practices in the construction, location and security measures for long-lived street lighting (b) understand how communities would use a shared energy resource when available through energy sockets, auxiliary to the main function of the streetlights.</p> <p>The system data used for the performance analysis for this study (July 2019 and March 2020) is deposited here along with the metadata. The results from analysis are presented in a paper titled '<strong>Analysis of standalone solar streetlights for improved energy access in displaced settlements</strong>' (currently under review). The scripts for analysis can be found at our Github account <a href="https://github.com/cogent-computing">Cogent Labs</a> under HEED_Nepal_SL and HEED_Rwanda_SL repositories.</p>
Supplementary Material for Work Practices and Perceptions from Women Core Developers in OSS Communities
<p>Supplementary Material for Work Practices and Perceptions from Women Core Developers in OSS Communities which allows to reproduce and extend the results presented in the paper study.</p>
Supplementary Materials for Time-Aligned Edge Plots for Dynamic Graph Visualization
<p><strong>Abstract</strong>: We present <em>time-aligned edge plots</em>: time- and edge-scalable representations of dynamic graphs. Vertices are mapped to two vertical parallel axes. The left axis depicts the source vertices, whereas the right one depicts the destination vertices. The time axis is horizontally embedded in-between the two axes, resulting in a two-dimensional graph layout. Edges are added by drawing straight lines connecting the corresponding source and destination vertices through time, while the pixels along the lines are used to encode the time-varying information. In this way, the depiction of edges at the individual timepoints is reduced to only a few pixels, resulting in a less cluttered representation of dynamic graphs, while the alignment of edges over time reveals the temporal patterns in the data and preserves the users' mental map. We evaluate our approach by comparing it theoretically and empirically against the state-of-the-art using dynamic graphs of varying complexities.</p>
The Embedding Path Order for Lambda-Free Higher-Order Terms — Supplementary Material
<p>This page contains supplementary material for the article <a href="https://matryoshka-project.github.io/pubs/epo_article.pdf">The Embedding Path Order for Lambda-Free Higher-Order Terms</a>.</p> <p><strong>Zipperposition</strong></p> <p>Compilation instructions for Zipperposition, in particular instructions for compilation for <a href="https://www.starexec.org/">StarExec</a>, can also be found in the <a href="https://github.com/c-cube/zipperposition/#starexec">Zipperposition readme</a>. I used OCaml 4.07.0, branch <code>lfzip</code>, commit <a href="https://github.com/sneeuwballen/zipperposition/tree/2d9af0d3d1f3501aec8c2988ab8395b1e1ee98ae">2d9af0d3d1f3501aec8c2988ab8395b1e1ee98ae</a></p> <p><strong>Problems</strong></p> <p>I used the following <a href="http://www.tptp.org/">TPTP (v7.2.0) problems</a> for the evaluation: <a href="https://zenodo.org/record/3992684/files/problem_list.txt"> TPTP problem list</a>. This lists contains all higher-order (THF) problems, excluding those that contain arithmetic, tuples, the <code>$distinct</code> predicate, or the <code>$ite</code> symbol, as well as those whose clausal normal form generated by Zipperposition is outside the lambda-free fragment. To find those problems, I used a program that can be found under <code>zipperposition/_build/default/src/tools/type_check.exe</code> after compiling Zipperposition. Note that the lambda-free mode of Zipperposition itself will not check whether the problem is in the fragment or not. It is neither aware that the calculus is complete for this fragment and it will always report "GaveUp" instead of "CounterSatisfiable" if the calculus saturates.</p> <p>The selection of TPTP problems and the problems generated by Isabelle/Sledgehammer can be downloaded here: <a href="https://zenodo.org/record/3992684/files/benchmarks.zip">Benchmarks</a></p> <p><strong>Run scripts</strong></p> <p>I used the following run scripts on StarExec. This archive also contains the Zipperposition binary, compiled for StarExec: <a href="https://zenodo.org/record/3992684/files/run_scripts.zip">StarExec run scripts</a></p> <p>The scripts use the following command-line options for Zipperposition:</p> <ul> <li>EPO<br> <code>./zipperposition.exe --mode lambda-free-intensional --ord epo</code></li> <li>RPO<br> <code>./zipperposition.exe --mode lambda-free-intensional --ord rpo6</code></li> <li>KBO<br> <code>./zipperposition.exe --mode lambda-free-intensional --ord kbo</code></li> <li>appRPO<br> <code>./zipperposition.exe --mode fo-complete-basic --app-encode intensional --ord rpo6</code></li> <li>appKBO<br> <code>./zipperposition.exe --mode fo-complete-basic --app-encode intensional --ord kbo</code></li> </ul> <p>As additional command line arguments, I provided the problem's filename, the extension operator (<code>--default-symbol-status lengthlexicographic</code> or <code>--default-symbol-status lengthlexicographicrtl</code>) and the options <code>--stats --profile</code>. On Starexec, I chose a wallclock timeout of 600s, a CPU timeout of 300s. StarExec's machine specifications are:</p> <pre># Starexec stats nodes 001 - 192: Intel(R) Xeon(R) CPU E5-2609 0 @ 2.40GHz (2393 MHZ) 10240 KB Cache 263932744 kB main memory # Software: OS: CentOS Linux release 7.7.1908 (Core) kernel: 3.10.0-1062.4.3.el7.x86_64 glibc: glibc-2.17-292.el7.x86_64 gcc-4.8.5-39.el7.x86_64 glibc-2.17-292.el7.i686 </pre> <p><strong>Results</strong></p> <p>Get an interactive overview of the results here: <a href="https://matryoshka-project.github.io/pubs/epo_data/interactive_eval.html">Interactive evaluation results</a></p> <p>Download the raw output of the evaluation and the .csv files created by StarExec here: <a href="https://zenodo.org/record/3992684/files/results.zip">Raw evaluation output</a></p> <p>Counter-example generation with Lazy SmallCheck</p> <p>Some of the examples in the paper were generated using Lazy SmallCheck. Here are the programs used to this: <a href="https://zenodo.org/record/3992684/files/counter_example_generation.zip">Counter-example generation</a></p> <p><strong>Formalization</strong></p> <p>Proofs of the properties of EPO were formalized in Isabelle/HOL and published in the Archive of Formal Proofs: <a href="https://www.isa-afp.org/entries/Lambda_Free_EPO.html">Formalization of the Embedding Path Order for Lambda-Free Higher-Order Terms</a></p>
Superposition for Lambda-Free Higher-Order Logic — Supplementary Material for the Journal Article
<p>We provide the following supplementary material for our <a href="http://matryoshka-project.github.io/pubs/lfhosup_article.pdf">article</a>.</p> <p><strong>Zipperposition</strong></p> <p>Compilation instructions for Zipperposition, in particular instructions for compilation for <a href="https://www.starexec.org/">StarExec</a>, can also be found in the <a href="https://github.com/sneeuwballen/zipperposition#starexec">Zipperposition readme</a>. We used OCaml 4.07.0, branch <code>lmcs2020</code>, commit <a href="https://github.com/sneeuwballen/zipperposition/tree/2031e216c1941acd76187882a073e8f1e53383f2">2031e216c1941acd76187882a073e8f1e53383f2</a></p> <p><strong>Problems</strong></p> <p>We used the following first-order (TFF) and the higher-order (THF) <a href="http://www.cs.miami.edu/~tptp/">TPTP (v7.3.0) problems</a> for the evaluation: <a href="https://zenodo.org/record/3992618/files/list_TFF.txt">TFF problem list</a> <a href="https://zenodo.org/record/3992618/files/list_THF.txt"> THF problem list</a>. These lists were obtained by excluding all problems that contain arithmetic, the symbols <code>(@@+)</code>, <code>(@@-)</code>, <code>(@+)</code>, <code>(@-)</code>, <code>(&)</code>, or tuples, as well as the <code>SYN000</code> problems, which are only intended to test the parser, and problems whose clausal normal form takes longer than 15s to compute or falls outside the lambda-free fragment. The following archive contains instructions on how the benchmarks were selected: <a href="https://zenodo.org/record/3992618/files/benchmark_selection.zip">Benchmark selection</a></p> <p>Note that Zipperposition is not aware that our calculi are complete for this fragment and it will always report "GaveUp" instead of "CounterSatisfiable" if the calculus saturates.</p> <p>The selection of TPTP problems and the problems generated by Isabelle/Sledgehammer can be downloaded here: <a href="https://zenodo.org/record/3992618/files/benchmarks.zip">Benchmarks</a></p> <p><strong>Run scripts</strong></p> <p>We used the following run scripts on StarExec. This archive also contains the Zipperposition binary, compiled for StarExec: <a href="https://zenodo.org/record/3992618/files/run_scripts.zip">StarExec run scripts</a></p> <p>The scripts use the following command-line options for Zipperposition</p> <ul> <li>First-order mode:<br> <code>./zipperposition.exe --mode=fo-complete-basic</code></li> <li>Applicative encoding mode (intensional):<br> <code>./zipperposition.exe --mode=fo-complete-basic --app-encode=intensional</code></li> <li>Applicative encoding mode (extensional):<br> <code>./zipperposition.exe --mode=fo-complete-basic --app-encode=extensional</code></li> <li>Nonpurifying intensional calculus:<br> <code>./zipperposition.exe --mode=lambda-free-intensional</code></li> <li>Nonpurifying extensional calculus:<br> <code>./zipperposition.exe --mode=lambda-free-extensional</code></li> <li>Purifying intensional calculus:<br> <code>./zipperposition.exe --mode=lambda-free-purify-intensional</code></li> <li>Purifying extensional calculus:<br> <code>./zipperposition.exe --mode=lambda-free-purify-extensional</code></li> </ul> <p>As additional command line arguments, we provided the problem's filename, the order (<code>--ord=lambdafree_rpo</code> or <code>--ord lambdafree_kbo</code> or <code>--ord epo</code>), and the following parameters for heuristics that were obtained by optimizing the first-order mode in preliminary experiments:</p> <pre>--kbo-weight-fun=modarity \ -q "7|prefer-sos|pnrefined(2,1,1,1,2,2,2)" \ -q "4|prefer-short-trail|pnrefined(1,1,1,2,2,2,0.5)" \ -q "1|prefer-processed|fifo" \ -q "7|prefer-ground|conjecture-relative-var(1,l,f)" \ -q "6|prefer-goals|conjecture-relative-var(1,s,f)" \ --select=e-selection7 </pre> <p>On Starexec, we chose a wallclock timeout of 360 s, a CPU timeout of 180 s, and a memory limit of 128 GB. StarExec's machine specifications are:</p> <pre>Intel(R) Xeon(R) CPU E5-2609 0 @ 2.40GHz (2393 MHZ) 10240 KB Cache 263932744 kB main memory OS: CentOS Linux release 7.7.1908 (Core) kernel: 3.10.0-1062.4.3.el7.x86_64 </pre> <p><strong>Results</strong></p> <p>Download the raw output of the evaluation and the .csv files created by StarExec here:</p> <ul> <li><a href="https://zenodo.org/record/3992618/files/results_tff.zip">Raw evaluation output TFF</a></li> <li><a href="https://zenodo.org/record/3992618/files/results_sh256.zip">Raw evaluation output SH256</a></li> <li><a href="https://zenodo.org/record/3992618/files/results_sh16.zip">Raw evaluation output SH16</a></li> <li><a href="https://zenodo.org/record/3992618/files/results_thf.zip">Raw evaluation output THF</a></li> <li><a href="https://zenodo.org/record/3992618/files/results_csv.zip">Evaluation results as CSV file + script to compile the statistics</a></li> </ul> <p><strong>Examples</strong></p> <p>We tested the examples given in our paper in Zipperposition. Here are the problem files we used. Some are in TPTP format (.p) and some are in Zipperposition format (.zf).</p> <ul> <li><a href="https://zenodo.org/record/3992618/files/example_varcond.zf">Example 3.3</a></li> <li><a href="https://zenodo.org/record/3992618/files/example_posext.zf">Example 3.4</a></li> <li><a href="https://zenodo.org/record/3992618/files/example_supatvars_rpo.zf">Example 3.5</a></li> <li><a href="https://zenodo.org/record/3992618/files/example_negext.zf">Example 3.6</a></li> <li><a href="https://zenodo.org/record/3992618/files/example_add_equiv_defs.p">Example 3.7</a></li> </ul>
Supplemental Material to Article "A practical approach for the peel stress prediction in the trailing-edge adhesive joint of wind turbine blades"
<p>This set supplements the figure data to the article "A practical approach for the peel stress prediction in the trailing-edge adhesive joint of wind turbine blades", DOI: .</p>
Data from: New material of Gobicyon (Carnivora, Amphicyonidae, Haplocyoninae) from northern China and a review of Aktaucyonini evolution
The aberrant carnivore Gobicyon has been known for more than 80 years, but the evolutionary position and taxonomic diversity of this animal remain unclear due to the paucity of the known fossils. Here, we report a much richer and better preserved assemblage of Gobicyon material from Tongxin and Hezheng areas, northern China. Two new species, Gobicyon yei sp. nov. from the early Middle Miocene in Tongxin area and Gobicyon acutus sp. nov. from the late Middle Miocene in Hezheng area were recognised. Much better material of Gobicyon macrognathus and one isolated tooth of Gobicyon zhegalloi from Tongxin area are also described in detail. Gobicyon is recognised as a derived haplocyonid. A phylogenetic analysis of Gobicyon and related taxa was performed for the first time. The phylogenetic tree suggests a close relationship of Aktaucyon and Gobicyon (Aktaucyonini). Among the taxa traditionally included in haplocyonids, Haplocyonopsis is the closest to Aktaucyonini, as supported by its centrally located M1 protocone and a uniformly distributed M1 lingual cingulum. The most significant evolutionary trends of Gobicyon are the reduction of the posterior molars (M2 and M3) and the strengthening of P4 and M1, suggesting a forward shift of crushing function along the tooth row.
Raw data and supplementary material of the fifth inter-laboratory testing program (RRT5, self-healing concrete with macrocapsules) of the EU COST action SARCOS
<p>This data is the result of a collaboration of scientists working on the development of self-healing concrete within the framework of the European Cooperation in Science and Technology (COST) Action “Self-healing as preventive repair of concrete structures” SARCOS CA15202.</p> <p>In the framework of SARCOS 6 inter-laboratory testing programs are being executed to investigate possible standard test methods for self-healing concrete, each of the testing programs focusing on a different self-healing technique:<br> (1) Concrete with mineral additions,<br> (2) Concrete with the addition of magnesium oxide,<br> (3) Concrete enhanced with crystalline admixtures,<br> (4) High performance fibre reinforced concrete enhanced with crystalline admixtures,<br> (5) Concrete with preplaced macrocapsules containing polymeric healing agent, and<br> (6) Concrete with encapsulated bacteria.</p> <p>The data which can be found here have been obtained in the inter-laboratory testing program 5 "Concrete with preplaced macrocapsules containing polymeric healing agent". In total 6 labs participated in this testing program: Ghent University, Politecnico di Torino, Riga Technical University, Cracow University of Technology, Cambridge University, and KU Leuven (Ghent Technology Campus). All specimens were cast at Ghent University and were then distributed to the different labs, where they were tested.</p> <p>The testing program consisted of tests on both concrete and mortar specimens. The reinforced concrete specimens were cracked in a displacement-controlled three-point bending setup. Subsequently, they were subjected to two capillary water absorption tests, each with a different waterproofing technique. The mortar specimens were not reinforced, instead they were provided with a Carbon Fibre Reinforced Polymer (CFRP) laminate at the top. They were cracked in a force-controlled three-point bending setup, and immediately an active crack width control technique was applied to restrain the crack width of the specimens to a desired crack width range. After measuring of the crack width, the water permeability of the mortar specimens was accessed in a water flow test. In the end, the specimens were cracked open to assess the spread of the polyurethane healing agent.</p>
Supplementary material from "Possible fates of the dispersion of SARS-COV-2 in the Mexican context"
<p>The determination of the adequate time for house confinement and when social distancing restrictions should end are now two of the main challenges that any country has to face in an effective battle against. The possibility of a new outbreak of the pandemic and how to avoid it is, nowadays, one of the primary objectives of epidemiological research. In this work, we go deep in this subject by presenting an innovative compartmental model, that explicitly introduces the number of active cases, and employing it as a conceptual tool to explore the possible fates of the dispersion of SARS-COV-2 in the Mexican context. We incorporated the impact of starting, inattention, and end of restrictive social policies on the time evolution of the pandemics via time-in-run corrections to the infection rates. The magnitude and impact on the epidemic due to post-social restrictive policies are also studied. The scenarios generated by the model can help authorities to determine an adequate time and population load that may be allowed to reassume normal activities.</p>
Supplementary material for 'A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching'
<p>Supplementary material for the https://github.com/Living-with-machines/LwM_SIGSPATIAL2020_ToponymMatching repository, containing the underlying code and materials for the paper 'A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching', accepted to SIGSPATIAL2020 as a poster paper.</p> <p> </p> <p>Coll Ardanuy, M., Hosseini, K., McDonough, K., Krause, A., van Strien, D. and Nanni, F. (2020): A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching, SIGSPATIAL: Poster Paper.</p>
Supplementary Material for "Time-domain modelling of 3-D Earth's and planetary electromagnetic induction effect in ground and satellite observations"
<p>1. Magnetic field residuals from Observatory and Swarm data. Details about data origin and pre-processing are given in the main paper.</p> <p>2. Time series of external Spherical Harmonic coefficients estimated from observatory and satellite data as described in the main paper.</p>
FIB-tomography data of Ni-YSZ anodes for Solid Oxide Fuel Cells (SOFC): Comparison of pristine and degraded materials (before/after redox cycling)
<p><em>Contents: </em></p> <p>This dataset contains 3D image stacks acquired with FIB-tomography from Ni-YSZ cermet anodes for Solid Oxide Fuel Cells (SOFC).</p> <p>The data was collected from three different Ni-YSZ anodes (fine-, medium- and coarse-grained). Each of these anodes was investigated first in pristine state (after sintering and reduction) and then also in degraded state (after exposure to 8 redox cycles).</p> <p>The 6 tomographs are then presented as stacks of 2D-tiff-images in 2 different versions: as gray-scale images (raw data) and as segmented images (Ni=white, YSZ=gray and pores=black). In total this gives 12 image stacks.</p> <p><strong>Further details</strong>, such as the voxel resolutions and image window sizes are listed in the downloadable excel file (<strong>2_3D_Data_Info.xlsx</strong>).</p> <p> </p> <p><em>Scientific Context: </em></p> <p>The microstructures of the cermet anodes were investigated for the purpose of optimizing the anode performance, which depends on effective transport properties (i.e. conductivity of ions in YSZ and of electrons in Ni, as well as diffusivity of fuel/gas in the pores). Furthermore the anode performance also depends on the catalytic/electrochemical activity (i.e. Ni-surface area and three phase boundary length TPBL). The microstructure characteristics have a strong influence on effective properties, electrochemical activity and associated anode performance. Furthermore, microstructure degradation (e.g. by Ni-coarsening) may lead to performance loss over time.</p> <p>Hence, the investigations focus on a fundamental, quentitative understanding of the relationships between microstructure characteristics and effective properties. The study reveals quantitative descriptions of all relevant microstructure characteristics (porosity, tortuosity, constrictivity, surface/interface areas, TPBL) and of the corresponding effective transport porperties (electric and ionic.conductivities). The corresponding anode performance was characterized by impedance spectroscopy.</p> <p>The quantitative <strong>results of the microstructure investigation were published</strong> in:</p> <p><strong>Pecho et al</strong> 2015a (doi:10.3390/ma8095265),</p> <p><strong>Pecho et al</strong> 2015b (doi:10.3390/ma8105370),</p> <p><strong>Holzer et al</strong> 2013 (doi: 10.1016/j.jpowsour.2013.05.047),</p> <p><strong>Holzer et al</strong> 2011a (doi: 10.1016/j.jpowsour.2010.08.017) and</p> <p><strong>Holzer et al</strong> 2011b (doi: 10.1016/j.jpowsour.2010.08.006).</p>
Re-evaluating phoneme frequencies: Supplementary materials S6–S7
<p>Supplementary materials (Sections S6–S7) for the paper <em>Re-evaluating phoneme frequencies</em><em> </em>(<a href="https://www.frontiersin.org/articles/10.3389/fpsyg.2020.570895/full">Macklin-Cordes & Round, 2020</a>)</p> <p>These materials include:</p> <ul> <li>S6: Data viewer app</li> <li>S7: Code, data and results</li> </ul> <p>Usage instructions for the code and app can be found in S1 of the paper's <a href="https://www.frontiersin.org/articles/10.3389/fpsyg.2020.570895/full#supplementary-material">Supplementary Materials</a> and in the readme file contained here.</p>
Shell biomass material supported nano-zero valent iron to remove Pb2+ and Cd2+ in water
Nanoscale zero-valent iron (NZVI) has a high adsorption capacity for heavy metals, but easily forms aggregates. Herein, preprocessed undulating venus shell (UVS) is used as support material to prevent NZVI from reuniting. The SEM and TEM results show that UVS had a porous layered structure and NZVI particles were evenly distributed on the UVS surface. A large number of adsorption sites on the surface of UVS-NZVI are confirmed by IR and XRD. UVS-NZVI is utilized for adsorption of Pb2+ and Cd2+ at pH=6 in aqueous solution, and the experimental adsorption capacities are 29.91 mg•g-1 and 38.99 mg•g-1 at optimal pH, respectively. Thermodynamic studies indicate that the adsorption of ions by UVS-NZVI is more in line with the Langmuir model when Pb2+ or Cd2+ existed alone. For the mixed solution of Pb2+ and Cd2+, only the adsorption of Pb2+ by UVS-NZVI conforms to the Langmuir model. In addition, the maximum adsorption capacities of UVS-NZVI for Pb2+ and Cd2+ are 93.01 mg•g-1 and 46.07 mg•g-1.Kinetic studies demonstrate that the determination coefficients (R2) of the pseudo first-order kinetic model for UVS-NZVI adsorption of Cd2+ and Pb2+ are higher than those of the pseudo second-order kinetic model and Elovich kinetic model. Highly efficient performance for metal removal makes UVS-NZVI show potential application to heavy metal ion adsorption.
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.