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3,655 results for “Structural data”
Curated data-set of crystal-structure prototypes of binary and ternary sp-d valent compounds
<p>Curated collection of binary and ternary compounds of sp-valent elements and d-valent elements and their crystal-structure prototype. The data set includes binary and pseudo-binary compounds in binary prototypes (BinaryPrototype-BinaryCompound.csv), offstoichoimetric and ternary compounds in binary prototypes (BinaryPrototype-BinaryOffstoichiometricAndTernaryCompound.csv) and ternary compounds in ternary prototypes (TernaryPrototype-TernaryCompound.csv). The first column in each data set corresponds to the crystal-structure prototype, the second column to the chemical composition. Ternary compositions labelled A-B+C indicate that element B and element C occupy the same sublattice of the crystal structure. A+B-C correspondingly indicates that element A and element B occupy the same sublattice. These data sets were used to construct structure maps for predicting the crystal structure of a compound from only its chemical composition. For details on curation, further discussions and structure maps see original publications (Chem. Mater. 28, 2550−2556, 2016 and Modelling Simul. Mater. Sci. Eng. 25, 074002, 2017).</p>
Organizing Structural Principles of the Interleukin-17 Ligand-Receptor Axis - Single molecule tracking - raw data
<p>This dataset contains the raw image data that was analyzed in the manuscript "Organizing Structural Principles of the Interleukin-17 Ligand-Receptor Axis"</p>
Organizing Structural Principles of the Interleukin-17 Ligand-Receptor Axis - Single molecule tracking - raw data - calibration images
<p>This dataset contains the images used for channel calibration for the single molecule data that was analyzed in the manuscript "Organizing Structural Principles of the Interleukin-17 Ligand-Receptor Axis"</p>
Research Data Supporting "Coupling Lipid Nanoparticle Structure and Automated Single Particle Composition Analysis to Design Phospholipase Responsive Nanocarriers"
<p>Raw research data supporting Barriga, Pence, et al. 2022, Advanced Materials. <a href="https://doi.org/10.1002/adma.202200839">https://doi.org/10.1002/adma.202200839</a></p>
The dataset for an article - An Evaluation of 3D-Printed Materials' Structural Properties Using Active Infrared Thermography and Deep Neural Networks Trained on the Numerical Data
<p>Dataset used in the research presented in the article:</p> <p>Szymanik, Barbara. 2022. "An Evaluation of 3D-Printed Materials’ Structural Properties Using Active Infrared Thermography and Deep Neural Networks Trained on the Numerical Data" <em>Materials</em> 15, no. 10: 3727. https://doi.org/10.3390/ma15103727</p> <p>The database in the .mat (matlab) format contains arrays of double type related to: A - original thermograms obtained for the plate made with the 3D printing technique Ar - thermograms with ROI included FITorg - approximation of original thermograms ImDiff, ImInt, ImProp - data obtained after subtracting the approximation.</p>
Data for COLLAPSE: A representation learning framework for identification and characterization of protein structural sites
<p>Data for methods described in the paper "COLLAPSE: A representation learning framework for identification and characterization of protein structural sites" by Alexander Derry and Russ B. Altman (BioRxiv, 2022). https://www.biorxiv.org/content/10.1101/2022.07.20.500713v1</p>
Semi-empirical error ellipsoid clustering for identifying the second-order structural features from a laboratory AE source location cloud—method, validation, and application to a hydraulic fracturing test [DATA]
<p>Data and metadata for the publication "Semi-empirical error ellipsoid clustering for identifying the second-order structural features from a laboratory AE source location cloud—method, validation, and application to a hydraulic fracturing test", published in Earth and Space Science.</p>
Original data for publications: Study of the Temperature- and Pressure-Dependent Structural Properties of Alkali Hydrido-closo-borate Compounds, and: Pressure-induced phase transitions in Na2B12H12, structural investigation on a candidate for solidstate electrolyte
<p>Original data for publications (part of University of Geneva only):</p> <p>Study of the Temperature- and Pressure-Dependent Structural<br> Properties of Alkali Hydrido-closo-borate Compounds<br> Inorg. Chemistry 2022 61, 5224-5233, <br> https://doi.org/10.1021/acs.inorgchem.1c03681</p> <p>Pressure-induced phase transitions in Na2B12H12,<br> structural investigation on a candidate for solidstate electrolyte<br> Acta Cryst. B 2019 B75 406-413<br> https://doi.org/10.1107/S2052520619004670</p> <p> </p>
Original data for publications: Synthesis, Characterization, and Crystal Structures of Two New Manganese Aceto EMIM Ionic Compounds with Chains of Mn2+ Ions Coordinated Exclusively by Acetate, and: Fe4(OAc)10[EMIM]2: Novel Iron-Based Acetate EMIM Ionic Compound
<p>Origianl data for publications (Part of University of Geneva only):</p> <p>Synthesis, Characterization, and Crystal Structures of Two New Manganese Aceto EMIM Ionic Compounds with Chains of Mn2+ Ions Coordinated Exclusively by Acetate<br> Przemyslaw Dera, Edward Bruffey III, Gregory J. Finkelstein, Colleen Kelly, Angelina Gigante, Hans Hagemann, and Godwin Severa<br> ACS Omega 2020, 5, 25, 15592-15600</p> <p>Fe4(OAc)10[EMIM]2: Novel Iron-Based Acetate EMIM Ionic Compound<br> Godwin Severa, Edward Bruffey, Phuong Q. H. Nguyen, Angelina Gigante, Noemi Leick, Colleen Kelly, Gregory J. Finkelstein, Hans Hagemann, Thomas Gennett, Richard E. Rocheleau, and Przemyslaw Dera,<br> ACS Omega 2021, 6, 31907-31918.</p> <p> </p> <p> </p>
Raw NGS Data for "Deep mutational scanning and machine learning reveal structural and molecular rules governing allosteric hotspots in homologous proteins"
<p>This directory contains relevant fastq files used for deep sequencing analysis in the publication “Deep mutational scanning and machine learning reveal structural and molecular rules governing allosteric hotspots in homologous proteins”. </p> <p>Fastq files are provided for presorted, uninduced and induced populations from DMS experiments of four homologs (TtgR, TetR, RolR, and MphR). Three replicates were performed for each sample.</p> <p>Data analysis of this deep sequencing data was performed using custom scripts, which are described in the methods section of the publication.</p>
Structuring of Data and Metadata in Bioimaging: Concepts and technical Solutions in the Context of Linked Data
<p>guided walkthrough of poster at <a href="https://doi.org/10.5281/zenodo.6821815">https://doi.org/10.5281/zenodo.6821815</a></p> <p>which provides an overview of contexts, frameworks, and models from the world of bioimage data as well as metadata and the techniques for structuring this data as Linked Data.</p> <p>You can also watch the video in the browser on the <a href="https://gerbi-gmb.de/i3dbio/i3dbio-resources/metadata-guide/">I3D:bio website</a>.</p>
Experimental data linked to publication "Process optimization and study of the co-sintering behaviour of Cu-Ni multi-material 3D structures fabricated by spark plasma sintering (SPS)"
<p>Those are all the experimental data used to produce the plots in the article</p>
Data_Changes in Tree Diversity, Structure and Functional Trait Identity Drive Biomass Increase along Elevational Gradients in Subtropical Forests of Southern China
<p>In this article "Changes in Tree Diversity, Structure and Functional Trait Identity Drive Biomass Increase along Elevational Gradients in Subtropical Forests of Southern China", these files contain community inventory data collected at our three study sites.</p>
Data and metadata of soil microbial community structure, enzyme activities, functional genes and earthworms derived from H2020 Diverfarming project
<p>Soil data and metadata of soil microbial community structure, enzyme activities (dehydrogenase, β-glucosidase, leucine-aminopeptidase, alkaline phosphatase and arylsusfatase activities), N functional genes and earthworms from the different cases studies and long terms from WP4 "Impact of crop diversification on biodiversity", derived from H2020 Diverfarming project. The main objective of workpackage is to provide a scientific understanding of the link between diversified cropping systems, above- and belowground biodiversity, and the resulting ecosystem services provided by soil microorganisms, soil invertebrates and vegetation in agro-ecosystems. Soil organisms contribute to all biogeochemical cycles, Soil organic matter mineralization and stabilization, shape soil structure and have associations with plant species promoting growth and development. http://www.diverfarming.eu.</p>
Data from: Phylogenomic structure and speciation in an emerging model: The Sphagnum magellanicum complex (Bryophyta)
<p>The moss genus <em>Sphagnum</em> has unparalleled ecological importance because some 30% of the total terrestrial carbon pool is bound up in <em>Sphagnum</em>-dominated peatlands. A major peat-former, <em>S. magellanicum</em>, is one of two species for which a reference-quality genome exists to facilitate research in ecological genomics, but recently published work indicated that <em>S. magellanicum</em> s. str. is restricted to South America and two other species, <em>S. divinum</em> and <em>S. medium</em> occur in North America and Europe. We report herein that there are four clades/species within the <em>S. magellanicum</em> complex in eastern North America, two in South America, and another in eastern Asia. The reference genome belongs to <em>S. divinum</em>. Phylogenetic analyses at the whole genome and chromosome levels, using genome resequencing and RADseq, resolve sister group relationships within the complex. Species are monophyletic in most analyses and exhibit tens of thousands (RADseq) to millions (resequencing) of fixed nucleotide differences, but two, referred to informally as <em>S. diabolicum</em> and <em>S. magni</em> because they have not been formally described, are differentiated by only hundreds (RADseq) to thousands (resequencing) of differences. Data from 14 of the 19 resequenced chromosomes (7 chromosomes for RADseq) resolve the reciprocal monophyly of <em>S. magni</em> and <em>S. diabolicum</em>. These two appear to be in the process of speciation and because they differ in geographic ranges and the climate zones they occupy – <em>S. diabolicum</em> in boreal peatlands and <em>S. magni</em> in warm temperate to subtropical communities of the southern U.S. – they provide an exciting opportunity for comparative genomic analyses of climate niche evolution. Introgression among species in the complex is demonstrated using <em>D</em>-statistics and <em>f</em><sub>4</sub>-ratios. One ecologically important functional trait that underlies peat (carbon) accumulation, tissue decomposability, does not differ between segregate North American species in the <em>S. magellanicum</em> complex although previous research showed that many related <em>Sphagnum</em> species have evolved differences in decomposability/carbon sequestration. Phylogenetic resolution and more accurate species delimitation in the <em>S. magellanicum</em> complex substantially increase the value of this group for studying the early evolutionary stages of climate adaptation, and ecological evolution more broadly.</p>
Data from: Population genomics reveal deep divergence and strong geographical structuring in the Hengduan Mountains
<p>We used restriction site-associated DNA sequencing to generate 1,907 single nucleotide polymorphisms (SNPs) and four-kb of plastid sequence in species of the <em>Gentiana hexaphylla</em> complex (Gentianaceae). We performed genetic clustering with spatial and non-spatial models, phylogenetic reconstructions, and ancestral range estimation, with the aim of addressing the processes influencing the diversification of <em>G</em>. <em>hexaphylla</em> in the HM. Here, the SNP data and plastid sequence alignments are provided.</p>
Mielke & Carvalho 2022 Chimpanzee play sequences are structured hierarchically as games - Data
<p>Data and scripts for the 2022 manuscript 'Chimpanzee play sequences are structured hierarchically as games' - preprint here: </p> <p>https://doi.org/10.1101/2022.06.14.496075</p> <p>Dataset and scripts generated on 20/09/2022. For potential changes and all information see:</p> <p>https://github.com/AlexMielke1988/Mielke-Carvalho_Chimpanzee-Play</p>
High-density genomic data reveal fine-scale population structure and pronounced islands of adaptive divergence in lake whitefish (Coregonus clupeaformis) from Lake Michigan
<p>Understanding patterns of genetic structure and adaptive variation in natural populations is crucial for informing conservation and management. Past genetic research using 11 microsatellite loci identified six genetic stocks of lake whitefish (<em>Coregonus clupeaformis</em>) within Lake Michigan, USA. However, ambiguity in genetic stock assignments suggested those neutral microsatellite markers did not provide adequate power for delineating lake whitefish stocks in this system, prompting calls for a genomics approach to investigate stock structure. Here, we generated a dense genomic dataset to characterize population structure and investigate patterns of neutral and adaptive genetic diversity among lake whitefish populations in Lake Michigan. Using Rapture sequencing, we genotyped 829 individuals collected from 17 baseline populations at 197,588 SNP markers after quality filtering. Although the overall pattern of genetic structure was similar to the previous microsatellite study, our genomic data provided several novel insights. Our results indicated a large genetic break between the northwestern and eastern sides of Lake Michigan, and we found a much greater level of population structure on the eastern side compared to the northwestern side. Collectively, we observed five genomic islands of adaptive divergence on five different chromosomes. Each island displayed a different pattern of population structure, suggesting that combinations of genotypes at these adaptive regions are facilitating local adaptation to spatially heterogenous selection pressures. Additionally, we identified a large linkage disequilibrium block of ~8.5 Mb on chromosome 20 that is suggestive of a putative inversion but with a low frequency of the minor haplotype. Our study provides a comprehensive assessment of population structure and adaptive variation that can help inform management of Lake Michigan's lake whitefish fishery and highlights the utility of incorporating adaptive loci into fisheries management. </p>
Data from: Linking environmental stability with genetic diversity and population structure in two Atlantic Forest palm trees
<p><span>Spatial patterns of biodiversity in the Atlantic Forest of Brazil are well characterized. However, there is no consensus on the biological processes underlying these patterns, and multiple competing hypotheses have been proposed, several of which center on climatic stability. Here, we ask if Late Quaternary climatic stability predicts contemporary population structure and genomic-level diversity in two palm species: </span><span>Syagrus botryophora </span><span>and S. pseudococos (Arecaceae)</span></p> <p><span>We first use species occurrence data to model the distribution of suitable environments in 62 time-slice climate projections over the last 120 thousand years, and summarize stability over that period. We then use >25,000 RADseq-generated SNPs to i) describe the spatial patterns of genomic variation in both species, ii) test how well genomic variation is explained by isolation by distance and by the environmental resistance imposed by historical instability (isolation by resistance) and iii) test for a correlation between genetic diversity and historical stability.</span></p> <p><span>The contemporary range of S. botryophora has been relatively stable over the last 30 thousand years and there are two isolated regions of high stability for S. pseudococos. The genomic data recovers a clear pattern of isolation by distance in S. botryophora and two structured populations in S. pseudococos. Consequently, the contribution of isolation by resistance to overall genetic structure is much higher in S. pseudococos. Genetic diversity is not significantly correlated with historical stability in either species.</span></p> <p><span>Based on the concordance between historical stability and genetic structure, Late Quaternary climate stability may have maintained population connectivity within S. botryophora and promoted intraspecific divergence in S. pseudococos. Conversely, historical stability does not seem to be driving spatial patterns of genetic diversity. This study supports the primary role of climatic stability in determining spatial population structure, but not genetic diversity, in the Atlantic Forest.</span></p>
cldf-datasets/normansinitic: Structural and lexical data for the paper by Norman (2013) on Chinese dialect classification
<p><strong>Norman, J. (2003): Chinese dialects. Phonology. In: Thurgood, G. & LaPolla, R.: The Sino-Tibetan Languages. Routledge: London and New York. 72-83.</strong></p>
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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.