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1,423 results for “separation”

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dryad36/100

Host preference of a tree-killing bark beetle across a geographic boundary separating host species

<p><span>The life cycles of bark beetles are intimately linked to their host species. Therefore, bark beetle species are expected to show traits that vary among different host species and across geographic ranges. The taxonomic proximity of host tree species can also influence host selection. <em>Abies</em> species native to Japan are genetically classified into three phylogenetic groups. Their natural distributions are separated by a </span><span>distinct biogeographic boundary in Japan (i.e. the Tsugaru Strait, also referred to as Blakiston's Line)</span><span>. Especially, <em>A. sachalinensis</em> is the only species native to Hokkaido, north of the </span><span>Tsugaru Strait</span><span>. I, therefore, investigated the host preference of <em>Polygraphus proximus</em> Blandford within four allopatrically distributed <em>Abies</em> species across the north and south of the Tsugaru Strait</span> <span>through field surveys and field choice experiments</span><span>.</span> <span>Field observations and field host-choice bioassays showed that <em>A. sachalinensis</em> was less severely attacked by <em>P. proximus</em> than was <em>A. veitchii</em> on both sides of the Tsugaru Strait.</span><span> The beetles also </span><span>preferred to attack <em>A. firma</em> (which </span><span>belongs to a genetically distinct group (i.e., the section <em>Momi</em>) from that of <em>A. veitchii</em> and <em>A. sachalinensis</em> (i.e., the section <em>Balsamea</em>)), over </span><em><span>A</span></em><span><em>. sachalinensis</em> in both Hokkaido and Honshu</span><span>. Although </span><em><span><span>A</span><span>.</span></span><span>homolepis</span></em><span> also belongs to the section <em>Momi</em>,</span> <em><span>A</span></em><span><em>. firma</em> and </span><em><span>A</span></em><span><em>. veitchii</em> had more attacks t</span><span>han </span><em><span><span><span>A</span><span>. </span></span><span>homolepis</span></span></em>. <span>Th</span><span>e res</span><span>ults provide evidence that </span><em><span>P</span><span>. proximus</span></em><span> does not show specialization across the different parts of their geographic range where the host species are different, and there is no positive correlation between taxonomic proximity and host preference for </span><em><span>P</span><span>. proximus</span></em><span>.</span></p>

opencc-zeroOct 2022View details →
zenodo36/100

Bach10 Score-Informed Separation ISMIR2017

<p>This dataset accompanies the paper:<br> M.Miron, J.Janer,E.Gomez,&quot;Monaural score-informed source separation for classical music using convolutional neural networks&quot;, ISMIR 2017,&nbsp;http://mtg.upf.edu/node/3806</p> <p>The files are based on Bach10 dataset which comprises 10 Bach chorales: http://music.cs.northwestern.edu/data/Bach10.html</p> <p>It comprises results in terms of SDR, SIR, SAR as .mat files for the methods presented in the paper.<br> Additionally, we include audio .wav files for the proposed score-informed source separation method using convolutional neural networks and for the score-informed NMF counterpart.</p> <p>The code is available at the github repository: https://github.com/MTG/DeepConvSep/tree/master/examples/bach10_scoreinformed</p> <p>We include the trained CNN model for the proposed approach, which can be used to separate Bach chorales with the code provided at the github repository.&nbsp;</p>

opencc-by-4.0Jun 2017View details →
zenodo36/100

Matrimid-JUC-62 and Matrimid-PCN-250 mixed matrix membranes displaying light-responsive gas separation and beneficial ageing characteristics for CO2/N2 separation

<p>FTIR, TGA, XRD and gas permeation results for our study of Matrimid-JUC-62 and Matrimid-PCN-250 mixed matrix membranes, including light-responsive properties.</p> <p>Published in:&nbsp;Prasetya, N., Teck, A.A., Ladewig, B.P.,&nbsp;<em>Matrimid-JUC-62 and Matrimid-PCN-250 mixed matrix membranes displaying light-responsive gas separation and beneficial ageing characteristics for CO<sub>2</sub>/N<sub>2</sub> separation</em>,&nbsp;(2018) <strong>Scientific Reports</strong>, 8 (1), 2944.&nbsp;</p> <p>doi:<a href="http://dx.doi.org/10.1038/s41598-018-21263-7">10.1038/s41598-018-21263-7</a></p>

opencc-by-4.0Oct 2017View details →
zenodo36/100

Dataset, Model Statistics, and 3D designs for "From Eyes to Cameras: Computer Vision for High-Throughput Liquid-Liquid Separation"

<p>Dataset, model statistics, and 3D design of high throughput platform associated with HeinSight3.0.&nbsp;</p> <p>&nbsp;</p> <p>Pre-print: https://chemrxiv.org/engage/chemrxiv/article-details/65e5481f9138d231619c1879</p> <p>&nbsp;</p> <p>The code and model of HeinSight3.0 can be found at (https://doi.org/10.5281/zenodo.11053915)</p>

opencc-by-4.0Apr 2024View details →
zenodo36/100

Separation of Intrinsic and Scattering Seismic Wave Attenuation in the Crust of Central and South-Central Alaska

<p>This dataset provides essential support for understanding the study and includes all necessary files for anyone wishing to reproduce any of the results</p>

opencc-by-4.0Apr 2024View details →
zenodo36/100

MicroCT Trabecular Bone Samples for Trabecular Thickness and Separation Measures

<p>Trabecular bone samples from micro CT (Xradia scanner, isotropic voxel size: 17.59 um, image size: 100x100x100) that have been segmented. These images were used to measure mean trabecular bone thickness and separation using the ORMIR_XCT Python package. Results were compared to trabecular thickness and separation values obtained from the standard workflows using Image Processing Language (IPL, Scanco Medical). File naming is as follows:</p> <ul> <li>BMLPL_XXX_XXX_SEG_SUB.nii <ul> <li>Trabecular bone segmentation image.</li> </ul> </li> <li>BMLPL_XXX_XXX_SEG_SUB_DT_THICK_CONVERT.nii <ul> <li>Distance transform for trabecular thickness obtained from IPL.</li> </ul> </li> <li>BMLPL_XXX_XXX_SEG_SUB_dt_py.nii <ul> <li>Distance transform for trabecular thickness obtained from Python.</li> </ul> </li> <li>BMLPL_XXX_XXX_SEG_SUB_DT_SP_CONVERT.nii <ul> <li>Distance transform for trabecular separation obtained from IPL.</li> </ul> </li> <li>BMLPL_XXX_XXX_SEG_SUB_inv_dt_py.nii <ul> <li>Distance transform for trabecular separation obtained from Python.</li> </ul> </li> </ul>

opencc-by-4.0Apr 2024View details →
zenodo36/100

Data for Taylor Dispersion-Induced Phase Separation for the Efficient Characterisation of Protein Condensate Formation

<p>This archive contains data files the Python 3 code needed to reproduce the analysis done for the publication "Taylor Dispersion-Induced Phase Separation for the Efficient Characterisation of Protein Condensate Formation". Most of the data files are recorded on the Fida 1 instrument (Fidabio, Denmark) and consists of fluorescence recordings at the end of a 1 m long microfluidic channel (&Oslash; 75 &micro;m). Additional data file types include raw microscopy images (Leica SP8 confocal microscope, Germany), spectroscopy and light scattering files from Probedrum/Labbot (Labbot, Sweden), and simulation files generated by Comsol 6 (COMSOL AB, Sweden). Comsol project files are also supplied.</p> <p>The Python code is supplied in the form of Jupyter Notebooks. A python file "TDIPS.py" contains general routines used in the data analysis notebooks, and is for example capable of calculating the viscosity of various salt solution mixtures using table values. This is used for normalisation of the Fida 1 instrument data, when several measurements are done at different salt concentrations.</p> <p>The scripts are running Python 3.11.7 and packages Numpy (1.26.4), Matplotlib (3.8.0), Pandas (2.1.4), Scipy (1.11.4), and LMfit (1.2.2).</p> <p>All figures are included as Scalable Vector Graphics (<em>SVG</em>) files and can be opened using Inkscape.</p> <p>&copy; Technical University of Denmark</p>

openbsd-3-clause-clearMay 2024View details →
zenodo36/100

DCASE 2024 Task 9: Language-Queried Audio Source Separation | Evaluation Set

<p>This is the&nbsp;<strong>evaluation set for Task 9, Language-Queried Audio Source Separation (LASS), in DCASE 2024 Challenge</strong>.&nbsp;</p> <p>This evaluation set is meant to be used for Task 9 at the scientific challenge DCASE 2024. This split is not meant to be used for training LASS methods. This split is meant to be used for evaluating LASS methods in the final testing &amp; ranking stage. All audio clips are sourced from Freesound, uploaded between April and October 2023. Each audio file has been segmented into 10-second clips and converted to mono 16 kHz.</p> <p>This evaluation set consists of<strong> evaluation set (synth)</strong> and an&nbsp;<strong>evaluation set (real)</strong>.&nbsp;</p> <p><strong>== Evaluation set (synth) ==</strong></p> <p>This evaluation set is created using 1,000 audio clips. Each clip is annotated with three captions describing the content of the clip. We created 3,000 synthetic mixtures with signal-to-noise ratios (SNR) ranging from -15 to 15 dB. Each synthetic mixture includes one natural language query and its corresponding target source. We used annotated tag information to ensure that the two audio clips used in each mix do not share overlapping sound source classes. The original audio files used to create these mixtures are not released. The mixtures and language queries are available for evaluation.</p> <p>The audio files in the archives:</p> <ul> <li>lass_evaluation_synth.zip</li> </ul> <p>and the associated metadata (including audio filename and text queries) in the CSV file:</p> <ul> <li>lass_synthetic_evaluation.csv</li> </ul> <p><strong>== Evaluation set (real) ==</strong></p> <p>This evaluation set consists of 100 audio clips. Each audio clip contains at least two overlapping sound sources. For each audio clip, we manually annotated their component sources using text descriptions, so that each clip can be used as a 'mixture' from which to extract one or more of the component sources based on a text query. Each audio clip in evaluation (real) was labeled with two such text queries.</p> <p>The audio files in the archives:</p> <ul> <li>lass_evaluation_real.zip</li> </ul> <p>and the associated metadata (including audio filename and text queries) in the CSV file:</p> <ul> <li>lass_real_evaluation.csv</li> </ul>

opencc-by-4.0Mar 2024View details →
zenodo36/100

Effects of marking, chilling and mechanical separation on the blood feeding success, fecundity and fertility of wMel-infected Aedes aegypti.

<p>In field trial II (Nausori 2019), mosquitoes were sampled from the emergence cages (rearing control), after cold-immobilization at 4&deg;C for 30 minutes (immobilization control) and at the end of UAV flights (aerial). Collected mosquitoes were sorted into cages of 50 females and 15 males. Females were allowed to blood feed and the blood feeding success was determined. Blood fed females were kept and allowed to oviposit and fecundity is shown as eggs per female. Eggs were hatched and larvae were counted 48 hours post hatching to determine fertility. Statistical analysis was performed using ordinary one-way ANOVA. NS = Not statistically significant and ND = Not done.</p>

opencc-by-4.0Jun 2024View details →
zenodo36/100

Data related to the utilisation of source-separated biowaste for the production of bio-based chemicals

<p><span>The main objective of this dataset was to demonstrate the technological solution of biosolvents production (mainly bioethanol) via the utilisation of urban biowaste within the city context of Athens, Greece. More specifically, the aim of the dataset is the demonstration of a pre-existing system, namely PILOT 5 for the production of bioethanol.&nbsp;</span></p> <p><span>The results achieved were very promising for the viability of the process, either with dried or wet feedstock. It is important to consider the energy consumption, as it constitutes more than 50% in the overall ethanol production cost. In comparison, the total energy consumption for the production of ethanol with dried feedstock is 26% higher than with wet feedstock.</span><span> </span><span>The most energy-intensive stage is drying, followed by distillation. </span></p> <p>&nbsp;</p>

opencc-by-4.0Jun 2024View details →
dryad36/100

Separable processes for live "in-person" and "zoom-like" faces

<p>Increased reliance on Zoom-like (webcam) platforms for interpersonal communications has raised the question of how this new virtual format compares to real face-to-face interactions. This question is also relevant to current models of face processing. Neural coding of simulated faces engages feature-selective processes in the ventral visual stream and two-person live face-to-face interactions engage additional face processes in the lateral and dorsal visual streams. However, it is not known if and/or how live in-person face processes differ from live virtual face processes because the faces and tasks are essentially the same. Current views of functional specificity predict no neural difference between the virtual and live conditions. Here we compare the same live faces viewed both over a video format and in person with measures of functional near-infrared spectroscopy (fNIRS), eye tracking, pupillometry, and electroencephalography (EEG). Neural activity was increased in dorsal regions for in-person face gaze and was increased in ventral regions for virtual face gaze. Longer dwell times on the face, increased arousal indexed by pupil diameter, increased neural oscillation power in the theta band, and increased cross-brain coherence were also observed for the in-person face condition. These findings highlight the fundamental importance of real faces and natural interactions for models of face processing.</p>

opencc-zeroJul 2024View details →
zenodo36/100

Fig. 2 in Methods to separate Lobesia botrana (Lepidoptera: Tortricidae) males from females for the implementation of sterile insect-inherited sterility technique control tactics

Fig. 2. Fifh instar larvae of Lobesia botrana indicating various shades of blue and green.

opencc-by-4.0Jun 2016View details →
zenodo36/100

Single particle tracking data for "Histidine-rich domain of kinases induce phase separation to hyperphosphorylate Pol II CTD"

<p><strong>Experimental single-particle tracking (SPT) data supporting &quot;Histidine-rich domain of kinases induce phase separation to hyperphosphorylate Pol II CTD&quot;</strong></p> <p>This dataset contains all the raw SPT data reported in &quot;Histidine-rich domain of kinases induce phase separation to hyperphosphorylate Pol II CTD&quot; in the form of SPT trajectories. The SPT trajectories are provided in two different formats for convenience: a CSV format and a Matlab format. Both formats are readable by Spot-On: https://spoton.berkeley.edu/</p> <p>The SPT data contains &quot;fast tracking&quot; spaSPT data (Figure 2d) and this data was analyzed using the Matlab version of Spot-On which can be found and downloaded at: https://gitlab.com/tjian-darzacq-lab/spot-on-matlab</p> <p>The SPT data also contains &quot;slow tracking&quot; SPT data (Figure 2e).</p> <p>Full details about the Matlab and CSV formats are provided in the ReadMe files in the associated zip files.</p> <p>Please see the associated manuscript for a detailed description of how the data was acquired and analyzed. For questions about the data please contact Anders Sejr Hansen at anders.sejr.hansen {at} berkeley {dot} edu.</p>

opencc-by-4.0Apr 2018View details →
zenodo36/100

New Azo-DMOF-1 MOF as a photo-responsive low-energy CO2 adsorbent and its exceptional CO2/N2 separation performance in mixed matrix membranes

<p>Data repository for manuscript, published in <em>ACS Applied Materials &amp; Interfaces</em>, <strong>2018</strong>, <em>10</em> (40), pp 34291&ndash;34301, <a href="https://dx.doi.org/10.1021/acsami.8b12261">http://dx.doi.org/10.1021/acsami.8b12261</a></p> <p><strong>Abstract</strong></p> <p>A new generation-2 light-responsive metal&ndash;organic framework (MOF) has been successfully synthesized using Zn as the metal source and both 2-phenyldiazenyl terephthalic acid and 1,4-diazabicyclo[2.2.2]octane (DABCO) as the ligands. It was found that Zn-azo-dabco MOF (Azo-DMOF-1) exhibited a photoresponsive CO<sub>2</sub> adsorption both in static and dynamic condition because of the presence of azobenzene functionalities from the ligand. Further application of this MOF was evaluated by incorporating it as a filler in a mixed matrix membrane for CO<sub>2</sub>/N<sub>2</sub> gas separation. Matrimid and polymer of intrinsic microporosity-1 (PIM-1) were used as the polymer matrix. It was found that Azo-DMOF-1 could enhance both the CO<sub>2</sub> permeability and selectivity of the pristine polymer. In particular, the Azo-DMOF-1&ndash;PIM-1 composite membranes have shown a promising performance that surpassed the 2008 Robeson Upper Bound.</p>

opencc-by-4.0Jul 2018View details →
zenodo36/100

Data for [Rock magnetism of quartz and feldspars chemically separated from pelagic red clay: a new approach to provenance study]

<p>MPMS and XRD data used in the manuscript&nbsp;Rock magnetism of quartz and feldspars chemically separated from pelagic red clay: a new approach to provenance study.</p>

opencc-by-4.0Sep 2018View details →
zenodo36/100

Support Material for: S.I. Mimilakis et al., ``Examining the Perceptual Effect of Alternative Objective Functions for Deep Learning Based Music Source Separation''

<p>The audio corpus used for conducting the listening tests reported in S.I. Mimilakis et al., ``Examining the Perceptual Effect of Alternative Objective Functions for Deep Learning Based Music Source Separation&#39;&#39;.</p>

opencc-by-4.0Nov 2018View details →
zenodo36/100

Quantitative analyses help in choosing between simultaneous versus separate EEG and fMRI

<p>This dataset contains EEG and fMRI data of the same subjects in a simultaneous EEG-fMRI session and a separate EEG-fMRI session. The corresponding paper is published in Frontiers of Neuroscience&nbsp;- Brain Imaging Methods.&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Nov 2018View details →
zenodo36/100

Supporting data for "Cellulose separators with integrated carbon nanotube interlayers for lithium-sulfur batteries: an investigation into the complex interplay between cell components"

<p>This is the dataset of electrochemical experiments for our publication &quot;Cellulose separators with integrated carbon nanotube interlayers for lithium-sulfur batteries: an investigation into the complex interplay between cell components&quot;. This archive contains the raw data and scripts written in R used in the analysis and presentation of the results in this manuscript.</p> <p><strong>Abstract for the manuscript:</strong></p> <p>This work aims to address two major roadblocks in the development of lithium-sulfur (Li-S) batteries: the inefficient deposition of Li on the metallic Li electrode and the parasitic &ldquo;polysulfide redox shuttle&rdquo;. These roadblocks are here approached, respectively, by the combination of a cellulose separator with a cathode-facing conductive porous carbon interlayer, based on their previously reported individual benefits. The cellulose separator increases cycle life by 33%, and the interlayer by a further 25%, in test cells with positive electrodes with practically relevant specifications and a relatively low electrolyte/sulfur (E/S) ratio. Despite the prolonged cycle life, the combination of the interlayer and cellulose separator <em>increases</em> the polysulfide shuttle current, leading to reduced Coulombic efficiency. Based on XPS analyses, the latter is ascribed to a change in the composition of the solid electrolyte interphase (SEI) on Li. Meanwhile, electrolyte decomposition is found to be slower in cells with cellulose-based separators, which explains their longer cycle life. These counterintuitive observations demonstrate the complicated interactions between the cell components in the Li-S system and how strategies aiming to mitigate one unwanted process may exacerbate another. This study demonstrates the value of a holistic approach to the development of Li-S chemistry.</p> <p>Manuscript preprint <a href="http://dx.doi.org/10.26434/chemrxiv.8835728">available at ChemRxiv</a> (pending approval as of 9/7/19).</p>

opencc-by-4.0Jul 2019View details →
zenodo36/100

A Review on Emerging Organic-containing Microporous Material Membranes for Carbon Capture and Separation

<p><strong>Published article:</strong>&nbsp;Prasetya, N., Himma, N. F., Doddy Sutrisna, P., Wenten, I. G. &amp; Ladewig, B. P.&nbsp;<em>Chem. Eng. J.</em>&nbsp;123575 (2019). <a href="https://doi.org/10.1016/j.cej.2019.123575">https://doi.org/10.1016/j.cej.2019.123575</a></p> <p><strong>Abstract</strong></p> <p>Membrane technology has gained great attention as one of the promising strategies for carbon capture&nbsp;and&nbsp;separation. Intended for such application, membrane fabrication from various materials has been attempted. While gas separation membranes based on dense&nbsp;polymeric&nbsp;materials have been long developed, there is a growing interest to use porous materials as the membrane material. This review then focuses on emerging porous materials to be used for the fabrication of membranes that are designed for CO<sub>2</sub>separation. Criteria for selecting microporous material are first discussed, including physical and chemical properties, and parameters in membrane fabrication. Membranes based on emerging porous materials,such&nbsp;as&nbsp;metal-organic frameworks, porous organic frameworks, and microporous polymers,are then reviewed. Finally, special attention is given to recent advances, challenges, and perspectives in&nbsp;the&nbsp;development of such membranes for carbon capture and separation.&nbsp;</p>

opencc-by-4.0Aug 2019View details →
zenodo36/100

data set related to article Magnetic resonance fingerprinting with dictionary-based fat and water separation (DBFW MRF): A multi-component approach

<p>This record contains raw data related to article Magnetic resonance fingerprinting with dictionary-based fat and water separation (DBFW MRF): A multi-component approach</p>

opencc-by-4.0Sep 2019View 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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