Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,423
datasets available to search
ShareScore release 0.9.0
Dataset results
1,423 results for “separation”
FIGURES –. Cocconeis sp. (cf. C. bilicis F.Meister). SEM (New Caledonia, Melanesia). Different specimens with SV sectors separated (or not) by a crista marginalis (21, 24), SV striae uniseriae near the sternum and biseriate thereafter (21, 24), SV areolae lumen with circular ornamentation (23, arrow), crista marginalis (22), SVVC in advalvar view with digit fimbriae (25, arrowhead), large RV axial concave area (26). Scale bars = 6 µm (24), 5 µm (26), 4 µm (21), 3 µm (25), 1 µm (22–23). in Marine Achnanthales (Bacillariophyceae) from New Caledonia (Melanesia): assemblage specificities, ultramafic environment
FIGURES –. Cocconeis sp. (cf. C. bilicis F.Meister). SEM (New Caledonia, Melanesia). Different specimens with SV sectors separated (or not) by a crista marginalis (21, 24), SV striae uniseriae near the sternum and biseriate thereafter (21, 24), SV areolae lumen with circular ornamentation (23, arrow), crista marginalis (22), SVVC in advalvar view with digit fimbriae (25, arrowhead), large RV axial concave area (26). Scale bars = 6 µm (24), 5 µm (26), 4 µm (21), 3 µm (25), 1 µm (22–23).
Distribution. NW Madgascar, found discontinuously in the coast S of the Manambolo River, from where the distribution swings inland to the uplands before touching the coast again N and E of the Mahavavy River; reports of the Crowned Sifaka as far S as the Sakay River, as far E to Andanotongo, and SE beyond Tsiroanomandidy suggest that its distribution is more complicated than originally believed. Decken's (PF. deckeniz) and Crowned sifakas are often found in the same areas, although the Crowned Sifaka tends to be found further inland than the more coastal Decken's Sifaka. In general, the boundary between these two species is the Mahavavy River, while the Betsiboka River separates the Crowned Sifaka from Coquerel's Sifaka (PF. coquereli). in Indriidae
Distribution. NW Madgascar, found discontinuously in the coast S of the Manambolo River, from where the distribution swings inland to the uplands before touching the coast again N and E of the Mahavavy River; reports of the Crowned Sifaka as far S as the Sakay River, as far E to Andanotongo, and SE beyond Tsiroanomandidy suggest that its distribution is more complicated than originally believed. Decken's (PF. deckeniz) and Crowned sifakas are often found in the same areas, although the Crowned Sifaka tends to be found further inland than the more coastal Decken's Sifaka. In general, the boundary between these two species is the Mahavavy River, while the Betsiboka River separates the Crowned Sifaka from Coquerel's Sifaka (PF. coquereli).
Data Set (Song et al., Scalable pillar[5]arene-integrated poly(arylate-amide) molecular sieve membranes to separate light gases. Chem. Mater. 2022)
<p>Data Set for the following publication.</p> <p>Song et al., Scalable pillar[5]arene-integrated poly(arylate-amide) molecular sieve membranes to separate light gases. Chem. Mater. 2022.</p>
Graph-based Leaf–Wood Separation Method for Individual Trees Using Terrestrial Lidar Point Clouds: Labeled validation data
<p>Set of 10 manually labeled point clouds used in the performance assessment of "Graph-based Leaf–Wood Separation Method for Individual Trees Using Terrestrial Lidar Point Clouds". This dataset is a collection of single trees scanned from different regions covering tropical, temperate, and boreal species—with heights ranging from 5.4 to 43.7 m, using the Riegl VZ-400 and Leica ScanStation C10 terrestrial laser scanner. These data have been preprocessed. For the original data, see https://doi.org/10.5061/dryad.10hq7;<br> https://doi.org/10.5061/dryad.np5hqbzp6;<br> https://doi.org/10.1594/PANGAEA.942856.</p>
Animal Recognition Using Methods Of Fine-Grained Visual Analysis - Kashtanka Pets (200 Hand-labelled Images, Cats and Dogs, Separate Folders)
<p>400 images (200 cats, 200 dogs) hand-labelled by Maria E. with head and body bounding box labels in YOLOv5 format. Images for cats, for dogs are in a separate folders.</p>
Nesokia is sister to Bandicota and are nested in Rattus phylogenetically, making Rat- tus paraphyletic. Tarsomys, Limnomys, and Diplothrix are also phylogenetically in Rat- tus, and the clade is in need of focused re- vision at the generic level. Nesokia bunnui was originally described as a separate ge-nus, Erythronesokia, because it is morphologically very distinctive from N. indica. Type specimen was destroyed during the Iraq War, and a neotype was recently designated to replace it. Monotypic. Distribution. Tigris and Euphrates river valleys, SE Iraq. Descriptive notes. Head—body 230-260 mm, tail 205-270 mm, ear 18-21 mm, hindfoot 49-58 mm; weight 519 g. The Long-tailed Bandicoot Rat is larger than the Short-tailed Bandicoot Rat (N. indica). Pelage is soft and woolly, interspersed with harsher coarse hair and long black hairs near mid-back. Dorsum is fawn to ocherous red, washed with purple or chestnuton darker individuals. Hairs are basally slate-gray and distally rufous, occasionally with whitish or black tips. Muzzle is drab. Sides arefawn, with gray edge toward venter. Venteris whitish, extending onto cheeks where the same pattern from gray to fawn to dorsal pelage occurs. Feet are large and robust, being light brown and well-furred dorsally. Claws are amber on forefeet and dull brown on hindfeet; pollux is extremely small. Ears are moderately long and brownish, with no hair internally. Tail is ¢.82-104% of head-body length and deep brownish drab, interspersed with visible white hair. Skull is large and robust, similarly to the Short-tailed Bandicoot Rat. Habitat. Marsh and swamp land. Food and Feeding. No information. Breeding. No information. Activity patterns. The Long-tailed Bandicoot Rat is terrestrial, although it isfound in swampy and marshy areas and is probably amphibious. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Endangered on The IUCN Red List. The Longtailed Bandicoot Rat is apparently rare and is known from very few specimens. Marsh and swamp habitats in which it is found were completely destroyed during the Iraq War by draining, war damage, and agricultural expansion. In recent years, flooding from Tigris and Euphrates rivers and high snow fall and melt haveresulted in partial restoration ofits native habitat, although restoration is not a complete. Populations are now probably highly fragmented. Bibliography. Al-Ansari et al. (2012), Al-Robaae & Felten (1990), Khajuria (1981), Krystufek et al. (2017), Musser & Carleton (2005), Richardson & Hussain (2006), Stuart (2008). in Muridae
Nesokia is sister to Bandicota and are nested in Rattus phylogenetically, making Rat- tus paraphyletic. Tarsomys, Limnomys, and Diplothrix are also phylogenetically in Rat- tus, and the clade is in need of focused re- vision at the generic level. Nesokia bunnui was originally described as a separate ge-nus, Erythronesokia, because it is morphologically very distinctive from N. indica. Type specimen was destroyed during the Iraq War, and a neotype was recently designated to replace it. Monotypic. Distribution. Tigris and Euphrates river valleys, SE Iraq. Descriptive notes. Head—body 230-260 mm, tail 205-270 mm, ear 18-21 mm, hindfoot 49-58 mm; weight 519 g. The Long-tailed Bandicoot Rat is larger than the Short-tailed Bandicoot Rat (N. indica). Pelage is soft and woolly, interspersed with harsher coarse hair and long black hairs near mid-back. Dorsum is fawn to ocherous red, washed with purple or chestnuton darker individuals. Hairs are basally slate-gray and distally rufous, occasionally with whitish or black tips. Muzzle is drab. Sides arefawn, with gray edge toward venter. Venteris whitish, extending onto cheeks where the same pattern from gray to fawn to dorsal pelage occurs. Feet are large and robust, being light brown and well-furred dorsally. Claws are amber on forefeet and dull brown on hindfeet; pollux is extremely small. Ears are moderately long and brownish, with no hair internally. Tail is ¢.82-104% of head-body length and deep brownish drab, interspersed with visible white hair. Skull is large and robust, similarly to the Short-tailed Bandicoot Rat. Habitat. Marsh and swamp land. Food and Feeding. No information. Breeding. No information. Activity patterns. The Long-tailed Bandicoot Rat is terrestrial, although it isfound in swampy and marshy areas and is probably amphibious. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Endangered on The IUCN Red List. The Longtailed Bandicoot Rat is apparently rare and is known from very few specimens. Marsh and swamp habitats in which it is found were completely destroyed during the Iraq War by draining, war damage, and agricultural expansion. In recent years, flooding from Tigris and Euphrates rivers and high snow fall and melt haveresulted in partial restoration ofits native habitat, although restoration is not a complete. Populations are now probably highly fragmented. Bibliography. Al-Ansari et al. (2012), Al-Robaae & Felten (1990), Khajuria (1981), Krystufek et al. (2017), Musser & Carleton (2005), Richardson & Hussain (2006), Stuart (2008).
Distribution. Endemic to the Gotel Mts, SE Nigeria. Descriptive notes. Head-body 108-137 mm, tail 149-174 mm, ear 19-21 mm, hindfoot 26-28 mm; weight 34-60 g. Fur of the Gotel Mountain Soft-furred Mouse is dark brown to grayish black above, without russet tinge of Hartwig's Soft-furred Mouse (P. hartwigi), slightly paler on flanks, and whitish gray below. Dorsum and venter are separated by think pale reddish brown line. Tail is very long (c.140% of head-body length). Forefeet and hindfeet are pale. Forefeet have four functional digits; first digit is reduced to small tubercle with very small claw. Hindfeet have five clawed digits. Females have three pairs of nipples. in Muridae
Distribution. Endemic to the Gotel Mts, SE Nigeria. Descriptive notes. Head-body 108-137 mm, tail 149-174 mm, ear 19-21 mm, hindfoot 26-28 mm; weight 34-60 g. Fur of the Gotel Mountain Soft-furred Mouse is dark brown to grayish black above, without russet tinge of Hartwig's Soft-furred Mouse (P. hartwigi), slightly paler on flanks, and whitish gray below. Dorsum and venter are separated by think pale reddish brown line. Tail is very long (c.140% of head-body length). Forefeet and hindfeet are pale. Forefeet have four functional digits; first digit is reduced to small tubercle with very small claw. Hindfeet have five clawed digits. Females have three pairs of nipples.
Distribution. Known only from two widely separated areas of W & C New Guinea (Lake Habbema and Mt Trikora in the Snow Mts, and the Star Mts). in Muridae
Distribution. Known only from two widely separated areas of W & C New Guinea (Lake Habbema and Mt Trikora in the Snow Mts, and the Star Mts).
Separator by Red River
Straw racks in Red River Special steel separators with 15 bar cylinders, built prior to 1925, consisted of five shakers. The first four shakers were carried and driven by the Brady shaker carriers on the inside of the separator. Those shaker carriers were carried by four wooden, hangers pivoted at the top. Two wooden hangers attached to the sides of each of the four shakers of the rack and pivoted from the top. Those hangers were on the inside of the separator and moved close to the sides of the separator. When the carriers moved ahead and back, the arms attached to the sides of the shakers and pivoted at the top, produced the up and down movement of the shakers. The last shaker was carried by four hangers on the outside of the separator and driven by two short pitmans from the shaker carriers. https://www.farmcollector.com/steam-traction/the-nichols-and-shepard-excello-separator-and-the-reason-for-building-it from 108 images Source: Objaverse 1.0 / Sketchfab
MUSDB18 - a corpus for music separation
<p>The sigsep musdb18 data set consists of a total of 150 full-track songs of different styles and includes both the stereo mixtures and the original sources, divided between a training subset and a test subset.</p> <p>Its purpose is to serve as a reference database for the design and the evaluation of source separation algorithms. The objective of such signal processing methods is to estimate one or more sources from a set of mixtures, e.g. for karaoke applications. It has been used as the official dataset in the professionally-produced music recordings task for SiSEC 2018, which is the international campaign for the evaluation of source separation algorithms.</p> <p><em>musdb18</em> contains two folders, a folder with a training set: “train”, composed of 100 songs, and a folder with a test set: “test”, composed of 50 songs. Supervised approaches should be trained on the training set and tested on both sets.</p> <p>All files from the <em>musdb18</em> dataset are encoded in the Native Instruments stems format (.mp4). It is a multitrack format composed of 5 stereo streams, each one encoded in AAC @256kbps. These signals correspond to:</p> <ul> <li>0 - The mixture,</li> <li>1 - The drums,</li> <li>2 - The bass,</li> <li>3 - The rest of the accompaniment,</li> <li>4 - The vocals.</li> </ul> <p>For each file, the mixture correspond to the sum of all the signals. All signals are stereophonic and encoded at 44.1kHz.</p> <p>As the <em>MUSDB18</em> is encoded as STEMS, it relies on ffmpeg to read the multi-stream files. We provide a python wrapper called stempeg that allows to easily parse the dataset and decode the stem tracks on-the-fly.</p> <p><strong>License</strong></p> <p>MUSDB18 is provided for educational purposes only and the material contained in them should not be used for any commercial purpose without the express permission of the copyright holders:</p> <ul> <li>100 tracks were derived from The ‘Mixing Secrets’ Free Multitrack Download Library. Please refer to this original resource for any question regarding your rights on your use of the DSD100 data.</li> <li>46 tracks are taken from the MedleyDB licensed under Creative Commons (BY-NC-SA 4.0).</li> <li>2 tracks were kindly provided by Native Instruments originally part of their stems pack.</li> <li>2 tracks a from from the Canadian rock band The Easton Ellises as part of the heise stems remix competition, licensed under Creative Commons (BY-NC-SA 3.0).</li> </ul> <p><strong>References</strong></p> <p>If you use the MUSDB dataset for your research - Cite the MUSDB18 Dataset</p> <pre><code>@misc{MUSDB18, author = {Rafii, Zafar and Liutkus, Antoine and Fabian-Robert St{\"o}ter and Mimilakis, Stylianos Ioannis and Bittner, Rachel}, title = {The {MUSDB18} corpus for music separation}, month = dec, year = 2017, doi = {10.5281/zenodo.1117372}, url = {https://doi.org/10.5281/zenodo.1117372} } </code></pre> <p>If compare your results with SiSEC 2018 Participants - Cite the SiSEC 2018 LVA/ICA Paper</p> <pre><code>@inproceedings{SiSEC18, author="St{\"o}ter, Fabian-Robert and Liutkus, Antoine and Ito, Nobutaka", title="The 2018 Signal Separation Evaluation Campaign", booktitle="Latent Variable Analysis and Signal Separation: 14th International Conference, LVA/ICA 2018, Surrey, UK", year="2018", pages="293--305" }</code></pre> <p> </p> <p> </p>
Replication data for: HairSplitter: separating haplotypes with long reads
<p>Replication data for the paper "HairSplitter: separating haplotypes with long reads".</p> <p>Contains 1) Reads used to assemble when not available on public repositories, 2) The assemblies obtained using Flye or hifiasm, 3) The separated assemblies obtained by running the benchmarked software (HairSplitter, Strainberry, stRainy, HaploDMF, iGDA, Strainline) and 4) command lines used to launch the assemblies.</p>
Phase separation of SARS-CoV-2 nucleocapsid protein with TDP-43 is dependant on C-terminus domains
Open the record for dataset details and reuse information.
Data from: Phylogenomic inference and demographic model selection suggest peripatric separation of the cryptic steppe ant species Plagiolepis pyrenaica stat. rev.
<p>The ant <em>Plagiolepis taurica</em> Santschi, 1920 (Hymenoptera, Formicidae) is a typical species of the Eurasian steppes, a large grassland-dominated biome that stretches continuously from Central Asia to Eastern Europe and is represented by disjunct outposts also in Central and Western Europe. The extent of this biome has been influenced by the Pleistocene climate, and steppes expanded recurrently during cold stages and contracted in warm stages. Consequently, stenotopic steppe species such as <em>P. taurica</em> repeatedly went through periods of demographic expansion and severe isolation. Here, we explore the impact of these dynamics on the genetic diversification within <em>P. taurica</em>. Delimitation of <em>P. taurica</em> from other Plagiolepis species has been unclear since its initial description, which raised questions on both its classification and its spatiotemporal diversification early on. We re‐evaluate species limits and explore underlying mechanisms driving speciation by using an integrative approach based on genomic and morphometric data. We found large intraspecific divergence within <em>P. taurica</em> and resolved geographically coherent western and eastern genetic groups, which likewise differed morphologically. A morphometric survey of type material showed that Plagiolepis from the western group were more similar to <em>P. barbara</em> pyrenaica Emery, 1921 than to <em>P. taurica</em>; we thus lift the former from synonymy and establish it as separate species, <em>P. pyrenaica</em> stat. rev. Explicit evolutionary model testing based on genomic data supported a peripatric speciation for the species pair, probably as a consequence of steppe contraction and isolation during the mid‐Pleistocene. We speculate that this scenario could be exemplary for many stenotopic steppe species, given the emphasized dynamics of Eurasian steppes.</p>
Selective adsorption of CO2 in TAMOF-1 for the separation of CO2/CH4 gas mixtures
<p>Additional raw data files for manuscript "Selective adsorption of CO2 in TAMOF-1 for the separation of CO2/CH4 gas mixtures" by </p> <p>Santiago Capelo-Avilés,<sup>†a,b</sup> Mabel de Fez-Febré,<sup>†‡a,b</sup> Salvador R. G. Balestra,<sup>§c</sup> Juanjo Cabezas-Giménez,<sup>∆a,b</sup> Anton Vidal-Ferran,<sup>d,e</sup> Jesús González-Cobos,<sup>¶a</sup> Vanesa Lillo,<sup>a</sup> Oscar Fabelo,<sup>f</sup> Eduardo C. Escudero-Adán,<sup>a</sup> Larry R. Falvello,<sup>g</sup> José B. Parra,<sup>h</sup> Paolo Rumori,<sup>i</sup> Gemma Turnes-Palomino,<sup>i</sup> Carlos Palomino-Cabello,<sup>i</sup> Stefano Giancola,*<sup>j</sup> Sofia Calero*<sup>k</sup> and Jose Ramon Galan-Mascaros*<sup>a,d</sup></p> <p>abstract: TAMOF-1 is a robust, highly porous metal–organic framework built from Cu<sup>2+</sup> centers linked by a <em>L</em>-histidine derivative. Thanks to its high porosity and homochirality, TAMOF-1 has shown interesting molecular recognition properties, being able to resolve racemic mixtures of small organic molecules in liquid solution. Now, we have discovered that TAMOF-1 also offers outstanding performance as solid adsorbent for CO<sub>2</sub> physisorption, offering record CO<sub>2</sub> adsorption capacity (> 3 mmol g<sup>–1</sup>) with excellent CO<sub>2</sub>/CH<sub>4</sub> selectivity (> 50). We have identify the key interactions of CO<sub>2</sub> within the TAMOF-1 framework by a combination of structural (neutron diffraction), spectroscopic and theoretical analyses which conclude a dual-site adsorption mechanism with the majority of adsorbed CO<sub>2</sub> molecules occupying the empty voids in the TAMOF-1 channels without strong, directional supramolecular interactions. This dominant very weak binding opens the unique possibility of low energy regeneration process for convenient CO<sub>2</sub> purification, since it can be recovered at very high purity in just ione step at ambient, mild conditions. These features identify TAMOF-1 as a viable solid-state adsorbent for the realization of low-cost biogas upgrading.</p> <div> <p><sup>a.</sup>Institute of Chemical Research of Catalonia (ICIQ-CERCA), The Barcelona Institut of Science and Technology (BIST), Av. Països Catalans 16, Tarragona E-43007, Spain.</p> <p><sup>b.</sup>Departament de Química Física i Inorgànica, Universitat Rovira i Virgili, Marcel.lí Domingo s/n, Tarragona E-43007, Spain.</p> <p><sup>c. </sup>Centro de Nanociencia y Tecnologías Sostenibles (CNATS), Departamento de Sistemas Físicos, Químicos y Naturales, Universidad Pablo de Olavide, Ctra. Utrera km 1, ES-41013 Sevilla, Spain.</p> <p><sup>d.</sup>ICREA, Passeig Lluís Companys, 23, Barcelona E-08010, Spain.</p> <p><sup>e. </sup>Department of Inorganic and Organic Chemistry and the Institute of Nanoscience and Nanotechnology (IN2UB), Universitat de Barcelona (UB), 08028 Barcelona, Spain.</p> <p><sup>f. </sup>Institut Laue-Langevin, 71 Avenue des Martyrs, 38000, Grenoble, France.</p> <p><sup>g.</sup>Instituto de Nanociencia y Materiales de Aragón (INMA) and Departamento de Química Inorgánica, CSIC-Universidad de Zaragoza, Zaragoza 50009, Spain</p> <p><sup>h.</sup>Instituto de Ciencia y Tecnología del Carbono, INCAR-CSIC, Francisco Pintado Fe 26, 33011, Oviedo, Spain.</p> <p><sup>i. </sup>Departamento de Química, Universidad de las Islas Baleares, Cra. de Valldemossa km 7.5, 07122, Palma de Mallorca, Spain.</p> <p><sup>j. </sup>Orchestra Scientific S.L. Av. Països Catalans 16, Tarragona E-43007, Spain.</p> <p><sup>k. </sup>Materials Simulation and Modelling, Department of Applied Physics, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands.</p> <p>† These authors contributed equally to this work.</p> <p>‡ Present address:<sup> </sup>Arcamo Controls, S. A. Juan Esplandiú 15, 28007 Madrid, Spain.</p> <p>§ Present address:<sup> </sup>Área de Física Teórica, Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, Av. Reina Mercedes s/n, Seville, Spain.</p> <p>∆ Present address:<sup> </sup>Hipra Scientific, S.L.U., Av. La Selva 135, 17170 Amer, Spain.</p> <p>¶ Present address:<sup> </sup>Institut de Recherches sur la Catalyse et l’Environnement de Lyon, UMR 5256, CNRS, Université Claude Bernard Lyon 1, 2 Avenue A. Einstein, 69626 Villeurbanne, France.</p> </div>
Verification Algorithms for Automated Separation Logic Verifiers (Artifact)
<p>This is the artifact for the CAV 2024 paper "Verification Algorithms for Automated Separation Logic Verifiers". For more information, see the description of the artifact in "artifact_overview.pdf". The data in the artifact (minus the implementations of the benchmarked algorithms) can also be found on GitHub: https://github.com/marcoeilers/CAV24-data.</p>
FIGURE 2. Diagnostic characters for separating Aplocheilus andamanicus and A in The identity of Aplocheilus andamanicus (Köhler, 1906) (Teleostei: Cyprinodontiformes), an endemic Killifish from the Andaman Islands, with notes on Odontopsis armata van Hasselt
FIGURE 2. Diagnostic characters for separating Aplocheilus andamanicus and A. panchax. (A) One of the original syntypes of Aplocheilus andamanicus collected by Day (1878) from the Andamans, now lectotype, BMNH 1870.5.18.34-36, 74.8 mm SL, Port Blair, (B) topotypes of A. andamanicus, male, BNHS FWF 563, 65.2 mm SL, collected from south Andaman Island, (C) topotypes of A. panchax, male, BNHS FWF 569, 28.3 mm SL, collected from West Bengal, India. See-through vertical lines represent the relative positions of the pectoral-fin origin and the posterior extremity of dorsal, pelvic and anal fins.
FIGURE 3. Diagnostic characters separating Aplocheilus andamanicus and A in The identity of Aplocheilus andamanicus (Köhler, 1906) (Teleostei: Cyprinodontiformes), an endemic Killifish from the Andaman Islands, with notes on Odontopsis armata van Hasselt
FIGURE 3. Diagnostic characters separating Aplocheilus andamanicus and A. panchax. (A) Diagrammatic representation of the frontal squamation pattern and neuromasts and (B) structural morphology and coloration pattern of caudal fin in Aplocheilus andamanicus (BNHS FWF 563) and A. panchax (BNHS FWF 569). Abbreviations: ais = anterior infraorbital series; an = anterior naris; arn = anterior rostral neuromast; ots = otic series; pan = parietal neuromast; pbs = preorbital series; pis = posterior infraorbital series; pn = posterior naris; prn = posterior rostral neuromast; sos = supraorbital series; stn = supratemporal neuromasts; A–F = frontal scales.
DREANSS: DRum Event ANnotations for Source Separation
<p>The purpose of the annotations is to help develop research in source separation methods for polyphonic audio music mixtures containing drums.</p> <p>We provide a dataset that contains annotations for 22 excerpts of songs taken from different multi-track audio datasets publicly available for research purposes. These multi-track excerpts range from several genres including Rock, Reggae, electronic, Indie and Metal. The excerpts have a duration of 10 seconds each in average. This annotations dataset is divided into four folders, each of which contains the annotations of a given audio source separation dataset.</p> <p>The audio datasets that have been annotated are:</p> <ul> <li> <p>bss_oracle : <a href="http://bass-db.gforge.inria.fr/bss_oracle/">http://bass-db.gforge.inria.fr/bss_oracle/</a></p> </li> <li> <p>mass: <a href="https://www.upf.edu/web/mtg/audio-signal-separation">https://www.web/mtg/audio-signal-separation</a></p> </li> <li> <p>sisec: <a href="http://sisec.wiki.irisa.fr/tiki-index.php?page=Professionally+produced+music+recordings">http://sisec.wiki.irisa.fr/tiki-index.php?page=Professionally+produced+music+recordings</a></p> </li> </ul> <p>Please Acknowledge DREANSS in Academic Research</p> <p><strong>Using this dataset</strong></p> <p>When the DREANSS dataset is used for academic research, we would highly appreciate if scientific publications of works partly based on the DREANSS dataset cite the following publication:</p> <blockquote> <p>Ricard Marxer, Jordi Janer, "<a href="http://mtg.upf.edu/node/2802">Study of Regularizations and Constraints in NMF-Based Drums Monaural Separation</a>", Proc. of the 7th Int. Conference on Digital Audio Effects (DAFx’13). Maynooth, Ireland, 2013.</p> </blockquote> <p>We are interested in knowing if you find our datasets useful! If you use our dataset please email us at <a href="mailto:mtg-info@upf.edu">mtg-info@upf.edu</a> and tell us about your research.</p> <p> </p> <p><a href="https://www.upf.edu/web/mtg/dreanss">https://www.upf.edu/web/mtg/dreanss</a></p>
Sub-cellular Fractionation of H. pylori to separate membrane components from cytoplasm-periplasm components
Alterations:Bacterial extracts were centrifuged at 148000 g instead og 140000g in order to prevent minor contamination of membrane components in the lysate.
Sub-cellular Fractionation of H. pylori for separating total membrane components from Cytoplasm-periplasm
Alterations:Cell extract was centrifuged at 148000g instead of 140000g, in order to prevent contamination of total membrane in the cytoplasm-periplasm fraction.
ScienceDex guides
Understand access before you commit
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.