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1,423 results for “separation”
Dataset for Close Miking Empirical Practice Verification: A Source Separation Approach
<p>A dataset consisting of audio files which serve as support material to the following work: "Close Miking Empirical Practice Verification: A Source Separation Approach" by K. Drossos, S.I. Mimilakis, A. Floros, T. Virtanen and G. Schuller.</p> <p>The audio files contain information about two kind of signals a noise (pink noise) and a guitar (musical source) signal. For each signal multiple recordings, using a sampling frequency of 44.1kHz@16-bit, exist which are dependent upon the following variables:<br> - Mircophone type (polar pattern: Omni-directional and cardioid lobe) @Corresponding Folders: Omni & Card<br> - Microphone angle (30 and 45 degrees only for the cardioid microphone) @Corresponding Folders: C30 & C45<br> - Sound pressure levels for the source (SPLs) and the noise(SPLn) (SPLs : 94dB, 97dB, 100dB || SPLn: 88dB, 91dB, 94dB, 97dB, 100dB)<br> - 12 Distances in meters: 0.03m - 0.30m with a step size of 0.03m & 0.30m - 1.00m with a step size of 0.35m</p> <p>Each recording set contains also the original "clean" sources and their mixture for all the above configurations.<br> <br> The equipment used to record the above signals:<br> -Sound level meter (SLM): B&K 2250 Type A SLM <br> -Mic. A: & Shure SM57, dynamic, cardioid<br> -Mic. B: & Behringer ECM8000, condenser, omni-directional<br> -Laptop: Macbook Pro 15''<br> -Recording software: Digidesign ProTools M-Powered 8<br> -Musical instrument amplifier: Behringer V-Tone GMX212<br> -Digital sound card: M-Audio Fast Track Ultra<br> -Loudspeaker: Electrovoice SX300<br> <br> All recordings took place on the main stage of an empty municipal theater in Lixoyri, Kefallonia, Greece.<br> The authors would like to thank the Department of Technology of Sound and Musical Instruments,<br> Technological Educational Institute of Ionian Islands, for providing the equipment for the measurements.</p>
Stimuli for the paper Perceptual Evaluation of Source Separation for Remixing Music
<p>Stimuli for the paper</p> <p>H. Wierstorf, D. Ward, R. Mason, E. M. Grais, C. Hummersone, M. D. Plumbley, "Perceptual Evaluation of Source Separation for Remixing Music," in 143rd Convention of the Audio Engineering Society, 2017.</p> <p>The files used for the experimental procedure are available at https://doi.org/10.5281/zenodo.835191</p> <p>The stimuli in this publication are based on the DSD100 and submission files of the SiSEC challenge, see https://www.sisec17.audiolabs-erlangen.de</p>
FIG. 1 in Analysis of Genomic Sequence Data Reveals the Origin and Evolutionary Separation of Hawaiian Hoary Bat Populations
FIG. 1.—Map of the Hawaiian Islands with collection sitesfor Hawaiian hoary bat tissues used inthis study. Sites with n> 1 are denoted with an asterisk.
FIG. 2 in Analysis of Genomic Sequence Data Reveals the Origin and Evolutionary Separation of Hawaiian Hoary Bat Populations
FIG. 2.—PCA result plot showing clustering of individual bats from four Hawaiian Islands using 21,808,031 SNPs. Sample information included in supplementary table S4, Supplementary Material online.
FIG. 4 in Analysis of Genomic Sequence Data Reveals the Origin and Evolutionary Separation of Hawaiian Hoary Bat Populations
FIG. 4.—SNAPP-based phylogenetic tree inference. (A) The maximum clade credibility or consensus tree, showing approximate divergence of hoary bats across the Hawaiian archipelago. The axis on the bottom of the figure corresponds to million years before present (Ma), using the emergence of Hawai'i (~0.43 Ma) as a calibration point (95% confidence intervals were given in square brackets). (B) The drawing of all sampled trees showing all ingroup nodes were supported by maximum posterior probabilities (1.00).
Operating diagram of hatching module, this module consists of two clearly separated sections, each consisting of two long tanks (2 × 0.2 × 0.2 m) designed to accommodate hatching boxes, a filtration tank and an independent water circulation pump with a cooling unit and UV sterilizer. This allows simultaneous monitoring of 16 batches of eggs. in Reproduction of Zingel asper (Linnaeus, 1758) in controlled conditions: an assessment of the experiences realized since 2005 at the Besançon Natural History Museum
Operating diagram of hatching module, this module consists of two clearly separated sections, each consisting of two long tanks (2 × 0.2 × 0.2 m) designed to accommodate hatching boxes, a filtration tank and an independent water circulation pump with a cooling unit and UV sterilizer. This allows simultaneous monitoring of 16 batches of eggs.
Operating diagram of DR1/DR2 double riffle; it consists of two independent sections (DR1 and DR2), each containing 630 litres of water and measuring 2.5 x 0.6 m. Each section contains a filtration system separate from the fish, a cooling unit and an ultraviolet sterilizer. An 80 W UQL lamp completes the lighting of the module lit during the day. in Reproduction of Zingel asper (Linnaeus, 1758) in controlled conditions: an assessment of the experiences realized since 2005 at the Besançon Natural History Museum
Operating diagram of DR1/DR2 double riffle; it consists of two independent sections (DR1 and DR2), each containing 630 litres of water and measuring 2.5 x 0.6 m. Each section contains a filtration system separate from the fish, a cooling unit and an ultraviolet sterilizer. An 80 W UQL lamp completes the lighting of the module lit during the day.
Data for 'Graphene oxide aerogels for gas phase adsorption and selective separation of aromatic hydrocarbons and cycloalkanes'
<p>### Selected experimental data for the 'Graphene oxide aerogels for gas phase adsorption and selective separation of aromatic hydrocarbons and cycloalkanes ###</p> <p>Authors of the manuscript related to the uploaded data:<br>1. Maksymilian Plata-Gryl, Department of Process Engineering and Chemical Technology, Faculty of Chemistry, Gdansk University of Technologym, email: maksymilian.plata-gryl@pg.edu.pl<br>2. Roberto Castro-Muñoz, Department of Sanitary Engineering, Faculty of Civil and Environmental Engineering, Gdansk University of Technology, email: food.biotechnology88@gmail.com<br>3. Emilia Gontarek-Castro, Department of Environmental Technology, Faculty of Chemistry, University of Gdansk<br>4. Alan Miralrio, Escuela de Ingeniería y Ciencias, Tecnologico de Monterrey<br>5. Grzegorz Boczkaj, Department of Sanitary Engineering, Faculty of Civil and Environmental Engineering, Gdansk University of Technology, email: grzegorz.boczkaj@pg.edu.pl</p> <p>Package contains following data:<br>1. Fourier-transform infrared spectra of rGOA, GO, and graphite samples, format: .csv, number of files: 5<br>2. Raman spectra of rGOA samples, format: .csv, number of files: 3<br>3. Low temperature nitrogen adsorption-desorption isotherms, format: .txt, number of files: 4<br>4. Raw chromatograms of test probes for rGOA samples, format .txt, number of files: 234 in 12 subfolders</p> <p>For more information about experimental conditions or data please see the manuscript/publication or contact author/s.</p>
Estimating global transpiration from TROPOMI SIF with angular normalization and separation for sunlit and shaded leaves
<p>All three types of SIF-driven T models integrate canopy conductance (gc) with the Penman-Monteith model, differing in how gc is derived: from a SIFobs driven semi-mechanistic equation, a SIFsunlit and SIFshaded driven semi-mechanistic equation, and a SIFsunlit and SIFshaded driven machine learning model. </p> <p>The difference between a simplified SIF-gc equation and a SIF-gc equation is the treatment of some parameters and is shown in <a href="https://doi.org/10.1016/j.rse.2024.114586" rel="noreferrer">https://doi.org/10.1016/j.rse.2024.114586</a>.</p> <p>In this dataset, the temporal resolution is 1 day, and the spatial resolution is 0.2 degree.</p> <p>BL: SIFobs driven semi-mechanistic model</p> <p>TL: SIFsunlit and SIFshaded driven semi-mechanistic model</p> <p>hybrid models: SIFsunlit and SIFshaded driven machine learning model.</p>
PodcastMix - a dataset for separating music and speech in podcasts
<p><strong>Note: due to zenodo limitations here we host solely the metadata. the whole dataset can be found at: https://drive.google.com/drive/u/0/folders/1tpg9WXkl4L0zU84AwLQjrFqnP-jw1t7z </strong></p> <p>We introduce PodcastMix, a dataset formalizing the task of separating background music and foreground speech in podcasts. It contains audio files at 44.1kHz and the corresponding metadata. For further details check the following paper and the associated GitHub repository: </p> <ul> <li>N. Schmidt, J. Pons, M. Miron, "PodcastMix - a dataset for separating music and speech in podcasts", Interspeech (2022)</li> <li>N. Schmidt, "PodcastMix - a dataset for separating music and speech in podcasts", Masters thesis, MTG, UPF (2021) https://zenodo.org/record/5554790#.YXLHvNlByWA </li> <li>https://github.com/MTG/Podcastmix</li> </ul> <p>This dataset contains four parts. Due to zenodo file size limitation we host the training dataset on google drive. We highlight the content of the zenodo archives within brackets:</p> <ul> <li>[metadata] PodcastMix-synth train: large and diverse training set that is programatically generated (with a validation partition). The mixtures are created programatically with music from Jamendo and speech from the VCTK dataset. </li> <li>[metadata] PodcastMix-synth test a programatically generated test set with reference stems to compute evaluation metrics. The mixtures are created programatically with music from Jamendo and speech from the VCTK dataset. </li> <li>[audio and metadata] PodcastMix-real with-reference : a test set with real podcasts with reference stems to compute evaluation metrics. The podcasts are recorded by one of the authors and the source of the music is the FMA dataset. </li> <li>[audio and metadata] PodcastMix-real no-reference: a test set with real podcasts with only the podcasts mixes for subjective evaluation. The podcasts are compiled from the internet. </li> </ul> <p>The training dataset, PodcastMix-synth may be found at our google drive repository: https://drive.google.com/drive/folders/1tpg9WXkl4L0zU84AwLQjrFqnP-jw1t7z?usp=sharing . The archive comprises 450GB of audio and metadata with the following structure:</p> <ul> <li>[metadata and audio] PodcastMix-synth train: large and diverse training set that is programatically generated (with a validation partition). The mixtures are created programatically with music from Jamendo and speech from the VCTK dataset. </li> <li>[metadata and audio] PodcastMix-synth test a programatically generated test set with reference stems to compute evaluation metrics. The mixtures are created programatically with music from Jamendo and speech from the VCTK dataset. </li> </ul> <p>Make sure you maintain the folder structure of the original dataset when you uncompress these files. </p> <p><br> This dataset is created by Nicolas Schmidt, Marius Miron, Music Technology Group - Universitat Pompeu Fabra (Barcelona) and Jordi Pons. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 Unported License (CC BY-SA 4.0).</p> <p><br> Please acknowledge PodcastMix in Academic Research. When the present dataset is used for academic research, we would highly appreciate if authors quote the following publications:</p> <ul> <li>N. Schmidt, J. Pons, M. Miron, "PodcastMix - a dataset for separating music and speech in podcasts", Interspeech (2022)</li> <li>N. Schmidt, "PodcastMix - a dataset for separating music and speech in podcasts", Masters thesis, MTG, UPF (2021) https://zenodo.org/record/5554790#.YXLHvNlByWA </li> </ul> <p><br> The dataset and its contents are made available on an “as is” basis and without warranties of any kind, including without limitation satisfactory quality and conformity, merchantability, fitness for a particular purpose, accuracy or completeness, or absence of errors. Subject to any liability that may not be excluded or limited by law, the UPF is not liable for, and expressly excludes, all liability for loss or damage however and whenever caused to anyone by any use of the dataset or any part of it.</p> <p><br> PURPOSES. The data is processed for the general purpose of carrying out research development and innovation studies, works or projects. In particular, but without limitation, the data is processed for the purpose of communicating with Licensee regarding any administrative and legal / judicial purposes.<br> </p>
Dataset and scripts for manuscript "Using Neural Network Ensembles to Separate Ocean Biogeochemical and Physical Drivers of Phytoplankton Biogeography in Earth System Models"
<p>Please note: The title of this version contains an updated title for the manuscript compared to the previous version of this dataset. This is only due to title updates during the peer review process for the manuscript.</p> <p>The zip file contains the scripts, functions, and source files for the manuscript titled "Using Neural Network Ensembles to Separate Ocean Biogeochemical and Physical Drivers of Phytoplankton Biogeography in Earth System Models." The manuscript has been submitted for peer review.</p> <p>Please consult the README file for information on the specifications of the files.</p> <p>These files may occasionally be updated to add annotations to the scripts to make them more user friendly and to correct any errors.</p>
TERMINUS WP6: Prototype device for sorting and separation. Reprocessing of materials. TASK 6.2: Performances of packaging in use.
<p>Astrid E. Delorme, Tanja Radusin, Petri Myllytie, Vincent Verney and Haroutioun Askanian: Enhancement of Gas Barrier Properties and Durability of Poly(butylene succinate-co-butylene adipate)-Based Nanocomposites for Food Packaging Applications. Nanomaterials 2022, 12, 978. https://doi.org/10.3390/ nano12060978</p> <p> </p> <p><strong>Abstract</strong></p> <p>Poly(butylene succinate-co-butylene adipate), PBSA, based materials are receiving growing attention in the packaging industry for their promising biodegradability. However, poor gas barrier properties and low durability of biodegradable polymers, such as PBSA, have limited their wide-spread use in food packaging applications. Here we report a scalable solution to improve gas barrier properties and stabilize PBSA against photo-aging, with minimal modifications to the biodegradable polymer backbone by using a commercially available and biocompatible layered double hydroxide, LDH, filler. We investigate and compare the mechanical, gas barrier and photoaging properties of PBSA and PBSA-LDH nanocomposite films produced on pilot scale. An increase in rigidity in the nanocomposite was observed upon addition of LDH fillers to neat PBSA, which direct the application of neat PBSA and PBSA-LDH nanocomposite to different food packaging applications. The addition of LDH fillers into neat PBSA improves the oxygen and water vapour barriers for the PBSA based nanocomposites, which increases the attractiveness of PBSA material in food packaging applications. Through changes in the viscoelastic behaviour, we observe an improved photo-durability of photoaged PBSA-LDH nanocomposites compared to neat PBSA. It is clear from our studies that the presence of LDH enhances the lifetime durability and modulates the photodegradation rate of the elaborated biocomposites.</p> <p> </p> <p><strong>Dataset</strong></p> <p>This dataset contains all the rheological, UV-Vis, DSC, TGA, IR Tensile testing, Gas Barrier and DSC raw data used to generate graphs and discussions in the article “Enhancement of gas barrier properties and durability of Poly(butylene succinate-co-butylene adipate)-based nanocom-posites for food packaging applications” doi . Data are available in a compressed .zip file with 1 folder (Packaging-performances-PBSA-LDH_v01_TER_WP6_D6-2.zip) containing 7 .xlsx files containing all the rheological, IR, UV-Vis, DSC, TGA, Tensile testing, Gas Barrier raw data, 4 .pdf files one describing the experimental methods and materials, a second .pdf file outlining the metadata and information (this document) and two are the material data sheets for SOBACID®911 and PBSA used in the study, and one .zip file containing the SEM images in .TIF and .JPG formats.</p> <p> </p> <ul> <li>The <em>DSC-data-Packaging-performances-PBSA-LDH_v01_TER_WP6_D6-2.xlsx</em> file contains the data of the heating and cooling steps of the DSC experiments performed on PBSA and PBSA-LDH nanocomposite films.</li> <li>The <em>Gas-Barrier-data-Packaging-performances-PBSA-LDH_v01_TER_WP6_D6-2.xlsx</em> file contains the Oxygen Transmission Rates (OTR) and Water Vapour Transmission Rates (WVTR) of PBSA and PBSA-LDH nanocomposite films.</li> <li>The <em>IR-data-Packaging-performances-PBSA-LDH_v01_TER_WP6_D6-2.xlsx</em> file contains the FT-IR data used to create the IR-spectra of aged and unaged PBSA and PBSA-LDH nanocomposite films.</li> <li>The <em>Rheology-data-Packaging-performances-PBSA-LDH_v01_TER_WP6_D6-2.xlsx</em> file contains the melt rheology data of unaged and aged PBSA and PBSA-LDH nanocomposite films used for Cole-Cole plots and extrapolation of zero shear viscosity.</li> <li>The <em>Tensile-data-Packaging-performances-PBSA-LDH_v01_TER_WP6_D6-2.xlsx</em> file contains the tensile testing data of PBSA and PBSA-LDH nanocomposite films.</li> <li>The <em>TGA-data-Packaging-performances-PBSA-LDH_v01_TER_WP6_D6-2.xlsx</em> file contains the TGA data of PBSA and PBSA-LDH nanocomposite films.</li> <li>The<em> UV-data-Packaging-performances-PBSA-LDH_v01_TER_WP6_D6-2.xlsx</em> file contains the UV-Vis absorption data of aged and unaged PBSA and PBSA-LDH nanocomposite films.</li> <li>The <em>PBSA-Packaging-performances-PBSA-LDH_v01_TER_WP6_D6-2.pdf</em> is the product sheet of PBSA used in this study.</li> <li>The <em>SORBACID-911-Packaging-performances-PBSA-LDH_v01_TER_WP6_D6-2.pdf</em> is the product sheet of SORBACID<sup>®</sup> 911 used in this study.</li> <li>The <em>SEM-images-Packaging-performances-PBSA-LDH_v01_TER_WP6_D6-2.zip</em> file contains for SEM images (.jpg and .tif) corresponding to neat PBSA film and PBSA-LDH nanocomposite films with 2 wt%, 5 wt% and 8 wt% LDH loadings.</li> <li>The <em>Materials_and_experimental_method-D6-2-Packaging-performances-PBSA-LDH.pdf </em>file details the experimental method and conditions for the data acquisition presented in the Laccase-thermostability-DES_v1.0_TER_WP4_D4-2.xlsx. Guidance is also provided on how to use the data to calculate the laccase activity and thermostability.</li> <li>The <em>Metadata_information-D6-2- Packaging-performances-PBSA-LDH.pdf</em> file includes more detailed metadata information for the datasets represented in here.</li> </ul>
Two fish in a pod. Data from a self-sampling pilot program to separate between black hake species in W-Africa
<p>Data from self-sampling pilot trial in Senegal and Mauritanian waters where two species of black hake were separated manually onboard fishing vessels and the results then validated by genetic analysis. </p>
Further evidence from common garden rearing experiments of heritable traits separating lean and siscowet lake charr (Salvelinus namaycush) ecotypes
<p>Genetic evidence of selection for complex and polygenically regulated phenotypes can easily become masked by neutral population genetic structure and phenotypic plasticity. Without direct evidence of genotype-phenotype associations, it can be difficult to conclude to what degree a phenotype is heritable or a product of environment. Common garden laboratory studies control for environmental stochasticity and help to determine the mechanism that regulates traits. Here we assess lipid content, growth, weight, and length variation in full and hybrid F<sub>1</sub> crosses of deep and shallow water sympatric lake charr ecotypes reared for nine years in a common garden experiment. Redundancy analysis (RDA) and quantitative-trait-loci (QTL) genomic scans are used to identify associations between genotypes at 19,714 single nucleotide polymorphisms (SNPs) aligned to the lake charr genome and individual phenotypes to determine the role that genetic inheritance plays in ecotype phenotypic diversity. Lipid content, growth, length, and weight differed significantly among lake charr crosses throughout the experiment suggesting that pedigree plays a large role in lake charr development. Polygenic scores of 15 SNPs putatively associated with lipid content and/or condition factor indicated that ecotype distinguishing traits are polygenically regulated and additive. A QTL identified on chromosome 38 contained >200 genes, some of which were associated with lipid metabolism and growth, demonstrating the complex nature of ecotype diversity. The results of our common garden study further indicate that lake charr ecotypes observed in nature are pre-determined at birth and that ecotypes differ fundamentally in lipid metabolism and growth.</p>
Data from: Iridescence untwined - Honey bees can separate hue variations in space and time
<p><span>Iridescence is a phenomenon whereby the hue of a surface changes with viewing or illumination angle. Many animals display iridescence but it currently remains unclear whether relevant observers process iridescent color signals as a complex collection of colors (spatial variation), or as moving patterns of colors and shapes (temporal variation). This is important as animals may use only the spatial or temporal component of the signal, although this possibility has rarely been considered or tested. Here, we investigated whether honey bees could separate the temporal and spatial components of iridescence by training them to discriminate between iridescent disks and photographic images of the iridescent patterns presented by the disks. Both stimuli therefore contained spatial color variation, but the photographic stimuli do not change in hue with varying angle (no temporal variation). We found that individual bee observers could discriminate the variable patterns of iridescent disks from static photographs during unrewarded tests. Control experiments showed that bees reliably discriminated iridescent disks from control silver disks, showing that bees were processing chromatic cues. These results suggest that honey bees could selectively choose to attend to the temporal component of iridescence signals to make accurate decisions. </span></p>
A gap in the double white dwarf separation distribution caused by the common-envelope evolution: astrometric evidence from Gaia
<p>Here we provide a supplementary dataset to our publication <em>A gap in the double white dwarf separation distribution caused by the common-envelope evolution: astrometric evidence from Gaia,</em> <a href="https://arxiv.org/abs/2203.03659">arXiv:2203.03659</a>. The dataset consists of 119 double white dwarf candidates selected in the Gaia Early Data Release 3 (EDR3) based on the sources' astrometric wobble amplitude. For each candidate we provide sky coordinates (RA, DEC), Gaia EDR3 ID, position on the HR diagram (G, BP-RP) and estimated astrometric wobble amplitude (delta a). Note that the astrometric wobble amplitude (delta a) is directly related to the binary’s orbital separation, as detailed in our paper.</p>
Data from: Robust Estimation of Field Inhomogeneity Map Following Magnitude-Based Water-Fat Separation with Resolved Ambiguity
<p>These data have been uploaded and shared as part of "Robust Estimation of Field Inhomogeneity Map Following Magnitude-Based Water-Fat Separation with Resolved Ambiguity". The data may be used for field inhomogeneity mapping and PDFF/R2* reconstruction. </p> <p>These data were acquired by Perspectum Ltd (https://perspectum.com/) on a healthy volunteer. Informed consent was obtained from the participant. The dataset includes a localizer series and a multi-slice series (magnitude and phase) acquired from a volunteer covering the dome of the liver, heart and lungs:</p> <ul> <li>1-localizer_haste_bh</li> <li>2-I_6_Echo_3D_32_Slice_IDEAL</li> <li>3-I_6_Echo_3D_32_Slice_IDEAL</li> </ul> <p>These data were gathered using a Siemens Prisma 3 Tesla scanner. The main dataset comprises an acquisition with thirty-two slices including the abdominal region, with slices placed away from the isocenter. The acquisition consisted of a 6‐echo (TE1=1.3 ms, ΔTE=1 ms) gradient-recalled echo (GRE) protocol designed to minimize T1 bias (3° flip angle), Pixel Bandwidth = 1565 Hz, and 232 x 256 reconstructed image size, with 5 mm slice thickness and 1.72 x 1.72 mm^2 in-plane resolution. </p>
DNA-stimulated liquid-liquid phase separation by eukaryotic topoisomerase II modulates catalytic function
<p>Type II topoisomerases modulate chromosome supercoiling, condensation, and catenation by moving one double-stranded DNA segment through a transient break in a second duplex. How DNA strands are chosen and selectively passed to yield appropriate topological outcomes – e.g., decatenation vs. catenation – is poorly understood. Here we show that at physiological enzyme concentrations, eukaryotic type IIA topoisomerases (topo IIs) readily coalesce into condensed bodies. DNA stimulates condensation and fluidizes these assemblies to impart liquid-like behavior. Condensation induces both budding yeast and human topo IIs to switch from DNA unlinking to active DNA catenation, and depends on an unstructured C-terminal region, the loss of which leads to high levels of knotting and reduced catenation. Our findings establish that local protein concentration and phase separation can regulate how topo II creates or dissolves DNA links, behaviors that can account for the varied roles of the enzyme in supporting transcription, replication, and chromosome compaction.</p>
Text-fig. 7. Exbeckettia mastixioides (E.REID et M.CHANDLER) comb. nov. Details of anatomy in transverse section on cut surfaces from bilocular fruit shown in Text-fig. 6i, V. 23013(3). a: Details of seed (S), locule (L), distinct endocarp planes of separation (arrows). b: Detail of endocarp adjacent to the locule, and surrounding mesocarp. Blue lines indicate thickness of sclerenchyma lining the locule. Note layer of horizontally oriented periclinal fibres a few cells thick, lining the locule (arrow). c: Enlargement showing parenchyma cells of the mesocarp decreasing in diameter toward the periphery. d: Enlargement showing fibres and sclereids of the endocarp. e: Sharp contact between endocarp and mesocarp. f, g: Detailed anatomy of endocarp including locule lining, and contact with mesocarp. Scale bars 2 mm in (a), (b), 1 mm in (c–g). in Mastixioid Fruits (Cornales) From The Early Eocene London Clay Flora: Morphology, Anatomy And Nomenclatural Revision
Text-fig. 7. Exbeckettia mastixioides (E.REID et M.CHANDLER) comb. nov. Details of anatomy in transverse section on cut surfaces from bilocular fruit shown in Text-fig. 6i, V. 23013(3). a: Details of seed (S), locule (L), distinct endocarp planes of separation (arrows). b: Detail of endocarp adjacent to the locule, and surrounding mesocarp. Blue lines indicate thickness of sclerenchyma lining the locule. Note layer of horizontally oriented periclinal fibres a few cells thick, lining the locule (arrow). c: Enlargement showing parenchyma cells of the mesocarp decreasing in diameter toward the periphery. d: Enlargement showing fibres and sclereids of the endocarp. e: Sharp contact between endocarp and mesocarp. f, g: Detailed anatomy of endocarp including locule lining, and contact with mesocarp. Scale bars 2 mm in (a), (b), 1 mm in (c–g).
Text-fig. 1. a: Po Plain and foothills of the Northern Apennine in Northern Italy (inset) with the location of Oriolo (black star) and other Early and Middle Pleistocene plant localities, Enza and Stirone. Red lines indicate the frontal thrust arcs (modified from Martinetto et al. 2015). b: The "La Salita" section, Oriolo and chronology of the two "Sabbie gialle" cycles based on large mammals and palaeomagnetic correlation (modified from Toniato et al. 2017; IMMS 2020* [Italian Mediterranean Marine Stages] updated from Cohen and Gibbars 2020; GTS 2021* [Global Time Scale] updated from Head et al. 2021). c: Quarry "La Salita", Oriolo, in 1987. Main unconformities (U) separating the two "Sabbie gialle" cycles and terrestrial deposits on top are shown. Leaf symbols indicate the positions of some of the layers rich in fossil leaves (photo by G. B. Vai, modified). d: Surroundings of Faenza with the location of Oriolo and adjacent coeval sites yielding plant macrofossils. in The Late Early Pleistocene Flora Of Oriolo, Faenza (Italy): Assembly Of The Modern Forest Biome
Text-fig. 1. a: Po Plain and foothills of the Northern Apennine in Northern Italy (inset) with the location of Oriolo (black star) and other Early and Middle Pleistocene plant localities, Enza and Stirone. Red lines indicate the frontal thrust arcs (modified from Martinetto et al. 2015). b: The "La Salita" section, Oriolo and chronology of the two "Sabbie gialle" cycles based on large mammals and palaeomagnetic correlation (modified from Toniato et al. 2017; IMMS 2020* [Italian Mediterranean Marine Stages] updated from Cohen and Gibbars 2020; GTS 2021* [Global Time Scale] updated from Head et al. 2021). c: Quarry "La Salita", Oriolo, in 1987. Main unconformities (U) separating the two "Sabbie gialle" cycles and terrestrial deposits on top are shown. Leaf symbols indicate the positions of some of the layers rich in fossil leaves (photo by G. B. Vai, modified). d: Surroundings of Faenza with the location of Oriolo and adjacent coeval sites yielding plant macrofossils.
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.