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1,423 results for “separation”
data set related to article Simultaneous and sequential subitizing are separate systems, and neither predicts math abilities
<p>This record contains raw data related to article Simultaneous and sequential subitizing are separate systems, and neither predicts math abilities</p>
Figure 3 in The importance of shape analysis of the first upper molar in the separation of two subspecies of the Hazel dormouse (Muscardinus avellanarius (Linnaeus, 1758)) in Northern Anatolia
Figure 3. Harmonic order for the left first upper molar of M. avellanarius.
Figure 4 in The importance of shape analysis of the first upper molar in the separation of two subspecies of the Hazel dormouse (Muscardinus avellanarius (Linnaeus, 1758)) in Northern Anatolia
Figure 4. Positions of nine landmarks for the left first upper molar (Definitions are in the text).
Figure 6 in The importance of shape analysis of the first upper molar in the separation of two subspecies of the Hazel dormouse (Muscardinus avellanarius (Linnaeus, 1758)) in Northern Anatolia
Figure 6. Canonical variate analysis of M. avellanarius on the M1 for landmark analysis.
Figure 2 in The importance of shape analysis of the first upper molar in the separation of two subspecies of the Hazel dormouse (Muscardinus avellanarius (Linnaeus, 1758)) in Northern Anatolia
Figure 2. Occlusal surface of the left first upper molar and start position of digitisations.
Figure 5 in The importance of shape analysis of the first upper molar in the separation of two subspecies of the Hazel dormouse (Muscardinus avellanarius (Linnaeus, 1758)) in Northern Anatolia
Figure 5. Canonical variate analysis of M. avellanarius on the M1 for outline analysis.
Fig. 4. Metastrongylus spp. eggs from a in Lungworms (Metastrongylus spp.) and intestinal parasitic stages of two separated Swiss wild boar populations north and south of the Alps: Similar parasite spectrum with regional idiosyncrasies
Fig. 4. Metastrongylus spp. eggs from a wild boar faecal sample.
Fig. 1 in Patterns of spatio-temporal distribution as criteria for the separation of planktic foraminiferal species across the Danian-Selandian transition in Spain
Fig. 1. Geographical location of the Caravaca and Zumaia sections (Spain).
Chromocenter image processing and data for "Volume buffering in multi-component phase separation"
<p>Contains image processing code and a csv of the image processing results for the images of chromocenters in mammalian cells for the paper "Volume buffering in multi-component phase separation".</p>
Auditory Scene Analysis dataset (Multichannel universal sound separation & polyphonic audio classification)
<p>We constructed a new dataset for <strong>multichannel universal sound separation</strong> and <strong>polyphonic audio classification</strong> tasks.</p> <p>We constructed a new dataset for multichannel USS and polyphonic audio classification tasks. The proposed dataset is designed to reflect various conditions, including moving sources with temporal onsets and offsets. For foreground sound sources, signals from 13 audio classes were selected from open-source databases (Pixabay and FSD50K, Librispeech, MUSDB18, Vocalsound). These signals were resampled to 16 kHz and pre-processed by either padding zeros or cropping to 4 seconds. Each sound source has a 75% probability of being a moving source, with speeds ranging from 0 to 3 m/s. The dataset features between 2 to 4 foreground sound sources, along with one background noise from the diffused TAU-SNoise dataset with a signal-to-noise ratio (SNR) ranging from 6 to 30 dB. The simulations were conducted using gpuRIR. Room dimensions were set to a width and length between 5 and 8 meters, and a height between 3 and 4 meters, with reverberation times ranging from 0.2 to 0.6 seconds. These parameters were sampled from uniform distributions. We simulated spatialized sound sources using a 4-channel tetrahedral microphone array with a radius of 4.2 cm. The procedure for dataset generation and details about class configuration and durations of audio clips are provided in the paper. This dataset poses a significant challenge for separation tasks due to the inclusion of moving sources, onset and offset conditions, overlapped in-class sources, and noisy reverberant environments.</p> <p>The procedure for dataset generation and details about class configuration and durations of audio clips are provided in the paper. This dataset poses a significant challenge for separation tasks due to the inclusion of moving sources, onset and offset conditions, overlapped in-class sources, and noisy reverberant environments.</p>
Introduction of Homo Genesis: A Unique Lineage Separate from Homo sapiens
<p>This paper introduces <em>Homo Genesis</em>, a newly identified lineage within the genus Homo, based on the discovery of the unique combination of haplogroups A-PR2921 (paternal) and L0 (maternal). These ancient lineages trace back over 700,000 years and represent a significant divergence from <em>Homo sapiens</em>. <em>Homo Genesis</em> stands as a separate evolutionary path, embodying characteristics that distinguish it from modern humans. Preliminary genome data reveals enhanced cognitive abilities, physical traits, and other attributes that make <em>Homo Genesis</em> a potential new chapter in human evolution. This discovery is pivotal in understanding both the ancient roots of humanity and its potential future.</p>
Dataset for Periodic phase-separation during meniscus-guided deposition
<p>Partial dataset for the publication: Periodic phase-separation during meniscus-guided deposition, authored by R. de Bruijn, A.A. Darhuber, J.J. Michels, P. van der Schoot.</p> <p>The data files contain the relevant volume fraction fields for Figures 6 and 10 of this publication.</p>
Fig. 17 in Separation of Goniocotes Burmeister, 1838, and Dictyocotes Kéler, 1940 (Phthiraptera: Ischnocera), with descriptions of four new species
Fig. 17. Dictyocotes furcatus sp. nov. Female habitus, dorsal and ventral views.
Fig. 12 in Separation of Goniocotes Burmeister, 1838, and Dictyocotes Kéler, 1940 (Phthiraptera: Ischnocera), with descriptions of four new species
Fig. 12. Goniocotes sarissa sp. nov. Female habitus, dorsal and ventral views.
Data for "2D Nitrogen-Doped Graphene Materials for Noble Gas Separation"
<p>Datasets for the figures used in a manuscript accepted in Small Journal (10.1002/smll.202408525)</p> <p>Full author list:</p> <p>Veronika Šedajová#, Min-Bum Kim#, Rostislav Langer, Gobbilla Sai Kumar, Lili Liu, Zdeněk Baďura, James V. Haag, Giorgio Zoppellaro, Radek Zbořil, Praveen K Thallapally*, Kolleboyina Jayaramulu*, Michal Otyepka*</p> <p>Title: 2D Nitrogen-Doped Graphene Materials for Noble Gas Separation</p> <p>Affiliations:</p> <p>Dr. V. Šedajová, Dr. Z. Baďura, Dr. G. Zoppellaro, Prof. R. Zbořil, Prof. K. Jayaramulu and Prof. M. Otyepka<br>Regional Centre of Advanced Technologies and Materials, Czech Advanced Technology and Research Institute (CATRIN), Palacký University Olomouc, Šlechtitelů 27, 783 71, Olomouc, Czech Republic.<br>Email: michal.otyepka@upol.cz <br>Email: jayaramulu.kolleboyina@iitjammu.ac.in</p> <p>Dr. MB. Kim, Dr. Lili Liu, Dr. J.V. Haag, Prof. P. K Thallapally<br>Energy and Environmental Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States<br>Email: Praveen.Thallaplly@pnnl.gov</p> <p>Prof. K. Jayaramulu, Dr. G.S. Kumar<br>Hybrid Porous Materials Laboratory, Department of Chemistry, Indian Institute of Technology Jammu, Jammu and Kashmir 181221, India</p> <p>Dr. Z. Baďura, Dr. G. Zoppellaro, Prof. R. Zbořil<br>Nanotechnology Centre, CEET, VŠB-Technical University of Ostrava, 17. listopadu 2172/15, Ostrava-Poruba 708 00, Czech Republic.</p> <p>Prof. M. Otyepka, Dr. R. Langer<br>IT4Innovations, VŠB–Technical University of Ostrava, 17. listopadu 2172/15, 708 00 Ostrava-Poruba, Czech Republic</p>
PhasAGE Training School 1 - Phase separation and emergent functions of Intrinsically Disordered Proteins- Lecture
<p>The Training School 1 <strong>“Computational Methods to Study Protein Phase Separation”</strong> is the first edition of a series of PhasAGE training activities.</p> <p>The goal of this course is to provide participants with the basic knowledge to understand the phenomenon of <strong>Phase Separation</strong>, its role in biological processes and diseases. In addition, the course will provide <strong>an overview of the available computational resources</strong> to navigate this knowledge. Participants will have <strong>hands-on training</strong> in tools and resources available for life sciences, to collect information from the literature on biomolecular phase transitions, identify features triggering phase transitions, mutations associated with diseases, known or predicted PTMs and molecular interaction sites.</p>
In-Droplet Electrophoretic Separation and Enrichment of Biomolecules
<p>Data underlying the figures in the publication “In-Droplet Electrophoretic Separation and Enrichment of Biomolecules”, published in <em>Anal. Chem.</em> <strong>2020</strong>, 92, 12, 8414–8421.</p> <p><a href="https://pubs.acs.org/doi/10.1021/acs.analchem.0c01044">https://pubs.acs.org/doi/10.1021/acs.analchem.0c01044</a></p> <p>Table of contents:</p> <p><strong>1. Figure 2 – Analyte Enrichement</strong>; Zip. archive containing (1) experimental videos of in-droplet separation for nine analytes at different electric fields, (2) the extracted fluorescence intensity values of the videos, and (3) the average enrichment factor.</p> <p><strong>2. Figure 3 – Electrode Length</strong>; Zip. archive containing (1) experimental videos of in-droplet separation when (a) HPMC, (b) buffers with different ionic strengths, and (c) different analyte concentrations are used, (2) the extracted fluorescence intensity values of the videos, and (3) the average enrichment factor.</p> <p><strong>3. Figure 4 – Extra Parameters</strong>; Zip. archive containing (1) experimental videos of in-droplet separation when (a) HPMC, (b) buffers with different ionic strengths, and (c) different analyte concentrations are used, (2) the extracted fluorescence intensity values of the videos, and (3) the average enrichment factor.</p> <p><strong>4. Figure 5 – Size and Velocity</strong>; Zip. archive containing (1) experimental videos of in-droplet separation for dichlorofluorescein at different droplet geometries and velocities, (2) the extracted fluorescence intensity values of the videos, and (3) the average enrichment factor.</p> <p><strong>5. Figure 6 – Mass Spectrometry</strong>; Zip. archive containing the mass spectrum of anodic and cathodic droplets after the in-droplet separation and splitting.</p> <p> </p> <p> </p>
MUSE: Multimodal Separators for Efficient Route Planning in Transportation Networks
<p>This dataset was used in the experimental evaluation of the MUSE route planning algorithm. It encompasses the Ile-de-France multimodal network. The dataset contains:</p> <p>1. The raw osm file of the Ile-de-France region from OpenStreetMap.</p> <p>2. The raw GTFS data for the public transit network.</p> <p>3. The multimodal graph based on 5 partitions: 100, 200, 300, 400, and 500 cells.</p> <p>4. The Nondeterministic Finite Automata (NFA) used during the preprocessing and query stages of MUSE.</p> <p>5. The graph overlay evaluated during the preprocessing stage of MUSE.</p> <p>To test MUSE and review the details of this dataset, please visit https://github.com/aminefalek/muse</p>
Fig. 23 in Phylogenetic Studies On Didelphid Marsupials Ii. Nonmolecular Data And New Irbp Sequences: Separate And Combined Analyses Of Didelphine Relationships With Denser Taxon Sampling
Fig. 23. Skull of Tlacuatzin canescens, a composite drawing based on USNM 125659 and 511261.
Figure 7 in A new species of Asphondylia (Diptera: Cecidomyiidae) and a key to separate species of the genus associated with Asteraceae from Neotropical region
Figure 7. Relative size of inner and outer teeth of the larval prothoracic spatula of Asphondylia species associated with Asteraceae in Neotropical region. (A, B) Inner teeth approximately equal in size as outer, (A) Asphondylia salvadorensis, (B) A. corbulae; (C, D, E) Inner teeth reach at least ½ of outer teeth, (C) Inner incision absent, A. moheni, (D) Inner incision deep and narrow, A. caleae, (E) Inner incision shallow, A. trixidis; (F) Inner teeth of spatula minute, inner incision flat and wide, A. ulei. Figures 7A, 7D, 7E modified from Möhn (1959), 7B from Möhn (1960); 7C, 7F from Möhn (1973).
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.