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53 results for “core structures”
Microbial Observatory at North Temperate Lakes LTER High-resolution temporal and spatial dynamics of microbial community structure in freshwater bog lakes 2005 - 2009 original format (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-ntl/344/6, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-ntl/349/4. The abstract below was extracted from the Level 0 data package and is included for context: The North Temperate Lakes - Microbial Observatory seeks to study freshwater microbes over long time scales (10+ years). Observing microbial communities over multiple years using DNA sequencing allows in-depth assessment of diversity, variability, gene content, and seasonal/annual drivers of community composition. Combining information obtained from DNA sequencing with additional experiments, such as investigating the biochemical properties of specific compounds, gene expression, or nutrient concentrations, provides insight into the functions of microbial taxa. Our 16S rRNA gene amplicon datasets were collected from bog lakes in Vilas County, WI, and from Lake Mendota in Madison, WI. Ribosomal RNA gene amplicon sequencing of freshwater environmental DNA was performed on samples from Crystal Bog, North Sparkling Bog, West Sparkling Bog, Trout Bog, South Sparkling Bog, Hell’s Kitchen, and Mary Lake. These microbial time series are valuable both for microbial ecologists seeking to understand the properties of microbial communities and for ecologists seeking to better understand how microbes contribute to ecosystem functioning in freshwater.
Accelerated Mechanophore Activation and Drug Release in Network Core-Structured Star Polymers Using High-Intensity Focused Ultrasound
<div>Data of the associated manuscript and supporting information sorted after Figures, Schemes, and Tables.</div>
Data for: Assets in Periphery, Agents in the Core: Mapping the Micro Structures of International Tax Planning
<p>Data for: Assets in Periphery, Agents in the Core: Mapping the Micro Structures of International Tax Planning</p> <p>See paper at: https://osf.io/preprints/socarxiv/hyc4p</p> <p>In the last two decades, tax avoidance has risen to the top of the agenda of policy makers and international organizations. The majority of political action and academic research has focused on the macro-level of states, pointing towards the responsibility of ‘tax havens’ or ‘offshore financial centers’. Research on the micro-level has demonstrated the importance of non-state actors who facilitate tax planning, but tax advisors have never been studied systematically with global data. In this paper, we connect the micro and macro levels. We map tax advisors geographically using a novel empirical approach based on LinkedIn. We show that tax advisors generally locate in large cities in the EU and OECD, rather than in places targeted as ‘tax havens’. We further consider what determines the locations of tax advisors. Using multiple regression analysis, we find that locations of tax advisors does not correlate with the location of corporate profits, financial secrecy, or economic activity. Rather, it correlates with the managerial and financial activity. Our results underscore the core-periphery structure in offshore finance. Effective regulation of tax avoidance should focus on tax advisors, not only on the destination of money flows, since the active facilitation does not occur in those places.</p>
dataset for Fig 2 in NatComm "Localised structuring of metal-semiconductor cores in silica clad fibres using laser-driven thermal gradients"
<p>Infrared transmission of silicon core fiber through which gold has been laser-thermally moved to reystallize the material</p>
Emulator-based decomposition for structural sensitivity of core-level spectra
<p>We explore the sensitivity of several core-level spectroscopic methods to the underlying atomistic structure by using the water molecule as our test system. We first define a metric that measures the magnitude of spectral change as a function of the structure, which allows for identifying structural regions with high spectral sensitivity. We then apply machine-learning-emulator-based decomposition of the structural parameter space for maximal explained spectral variance, first on overall spectral profile and then on chosen integrated regions of interest therein. The presented method recovers more spectral variance than partial least squares fitting and the observed behavior is well in line with the aforementioned metric for spectral sensitivity. The analysis method is able to independently identify spectroscopically dominant degrees of freedom, and to quantify their effect and significance.</p>
data for "Mismeasurement of the core-shell structure of black carbon-containing ambient aerosols by SP2 measurements"
<p>The data for "Mismeasurement of the core-shell structure of black carbon-containing ambient aerosols by SP2 measurements"</p>
Dataset for "Influence of thermal stratification on the structure and1evolution of the Martian core"
<p>Dataset from Monte-Carlo simulations produced in "Influence of thermal stratification on the structure and1evolution of the Martian core"</p>
figure 1 in Spatial genetic structure in the Eurasian otter (Lutra lutra) meta-population from its core range in Italy
figure 1 The area surveyed for collection of otter samples (40° 40' N, 39° 37' N). Red spots indicate the location of the collected samples. The blue lines highlight the main rivers (order 1) and their tributaries (order 2, 3 and 4 according to waterway hierarchy). The continuous red lines represent regional boundaries. In the inset, the current otter distribution (inferred from Balestrieri et al., 2016, modified) is reported in orange and the study area is defined by the black bold square.
figure 4 in Spatial genetic structure in the Eurasian otter (Lutra lutra) meta-population from its core range in Italy
figure 4 Principal Component Analysis (pca) performed on microsatellite genotypes (dots). Circles show the well-defined spatial groups. A) pca according to the belonging of genotypes to the six river basins: the Cilento basin (green dots); the Agri basin (pink dots); the Sinni basin (blue dots); the Lao basin (red dots); the Basento basin (orange dots); the Abatemarco basin (violet dots); black dots indicate the samples outside of the main river basins. Dashed line indicates geographically contiguous but genetically different genotypes. B) pca according to clusters inferred by STRUCTURE: genotypes assigned unambiguously to K2 (green dots), to K3 (yellow dots), to K5 (violet dots). Grey dots represent samples with mixed genotypes assignable to K1 and K4.
figure 3 in Spatial genetic structure in the Eurasian otter (Lutra lutra) meta-population from its core range in Italy
figure 3 Genetic structure and distribution of the Italian otter genotypes in the study area. A) Estimated population structure based on the analysis of 11 microsatellite loci according to STRUCTURE (K = 5). Each bar represents a sample analysed. B) Geographic visualisation of genotypes in the study area performed using QGIS 3.4.1 software with base layers acquired from http://www.pnc.miniambiente. it/. Each circle represents a sample analysed. The colours indicate the percentage of assignment of an individual to each cluster: in blue, K1; in green, K2; in orange, K3; in red, K4; in violet, K5. The bold blue lines highlight the main rivers, while the tiny blue lines show all other waterways.
figure 6 Mantel test for A in Spatial genetic structure in the Eurasian otter (Lutra lutra) meta-population from its core range in Italy
figure 6 Mantel test for A) the correlation between geographic distance (GGDsq) and genetic distance (LinGD) (Rxy = 0.264, P = 0.0001) and for B) the correlation between resistance distance (a measure of ecological distance) (ECO500) and LinGD (Rxy = 0.217, P = 0.0001).
Emulator-based decomposition for structural sensitivity of core-level spectra
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Polymorphic structure of a-type screw dislocation cores in alpha-Ti
<p class="p1">The dislocation core structure has a significant role in determining the dominant slip plane and the magnitude of the Peierls stress for a dislocation. An important challenge when studying dislocation cores is to determine the stable and metastable core morphologies, and then relate these structures to the dynamics of the dislocations. This study introduces a method for identifying core structures that are metastable at zero temperature. Application of this method to ⟨a⟩-type screw dislocations in α-Ti (as described using an empirical potential) reveals a multitude of (meta-)stable non-planar cores. </p> <p>This dataset contains the LAMMPS files for all the (meta-)stable morphologies of screw dislocation cores in α-Ti as described by Hennig's MEAM potential identified in this study. We identified stable core configurations for an ⟨a⟩-type screw dislocation under a compressive non-Schmid stress of 0, 250, 500, 750, and 1000 MPa applied in the [1-100] direction.</p>
Simulated complex structures of the h-FBP21 tandem WW domain with proline-rich ligand extracted from SmB/B' core-splicing protein
<p>The tandem WW domain of the human formin-binding protein 21 (h-FBP21 tWW) consists of two WW domains separated by a flexible linker. It can bind target sequences in two different orientations and the flexibility of the linker additionally allows the two WW domains to adopt various relative orientations to each other. As consequence, the elucidation of possible complex structures for the h-FBP21 tWW is very challenging.</p> <p>Here, we present two complex structures for the h-FBP21 tWW and a proline-rich sequence from its natural binding partner, the core-splicing protein SmB/B’. Showing parallel (‘6’) and antiparallel (’14’) binding orientation, the two structures also differ in the relative positioning of the WW domains.</p> <p>For further instructions regarding the files, please refer to ‘README’.</p>
Sedimentary structure discrimination with hyperspectral imaging in sediment cores
<p>The LDB17_P11Ax (IGSN: TOAE0000000243); Datation Age 1040 +/- 30 to 2017 CE by core correlation, 14C, lamina counting) core from the Bourget Lake (France) was analyzed in 2018 by hyperspectral imaging. We studied the potential of hyperspectral sensor to image a sediment cores and created machine learning models. The hyperspectral images were acquired in order to develop quantitative (estimating particle size and loss on ignition) and qualitative (detection of instantaneous events or lamina) methods.<br> All these methods allow to reconstruct the past environment and climate at high resolution (pixel size: 50-250 microns) and without destroying the sample for archiving for future analysis.<br> These images have been valorized in publications for the detection of instantaneous events with hyperspectral and combined with XRF data, for the combination of the two images into a composite image.<br> image (.hdr, .dat, .jpg)</p>
Core-shell structured chitosan-polyethylenimine nanoparticles for gene delivery: Improved stability, cellular uptake, and transfection efficiency
<p>Gene therapy has emerged as a promising treatment option for various acquired and inherited diseases. The delivery of nucleic acids relies on so-called vectors that condense and encapsulate their cargo, generating stable nano-sized particles. Especially non-viral gene delivery systems are of increasing interest. However, accomplishing therapeutic levels of transgene expression and limited tolerability of these systems remain a challenge. Therefore, we investigate in the present study the improvement of nucleic acid delivery using depolymerized chitosan – polyethylenimine DNA core complexes (dCS-PEI/DNA). These core complexes are further entrapped into a variety of dCS-based shells, functionalized with poly(ethylene glycol) (PEG) spacers conjugated to ionic moieties (amino or carboxylate groups) and cell penetrating peptides. This modular approach allowed to evaluate the effect of the shell functional components on the physico-chemical particle characteristics and biological effects <em>in vitro</em>. The optimized ternary complex combines a core-dCS-LPEI/DNA complex with a shell consisting of dCS-PEG-COOH, which resulted in improved encapsulation of nucleic acid, accelerated cellular uptake, enhanced transfection efficiency, and superior transfection potency in human hepatoma HuH-7 cells and mouse primary hepatocytes. Effects on transgene expression are confirmed <em>in vivo</em> in wild-type mice following retrograde intrabiliary infusion. After administration to mice of only 100 ng complexed nanovector DNA, ternary complexes induce a high reporter gene signal for three days. We conclude that ternary core-shell structured particles comprising functionalized chitosan are a promising gene delivery technology for both <em>in vitro</em> as well as <em>in vivo </em>applications. The modular design will facilitate the development of chemically modified derivatives.</p>
Dataset for "Genetic diversity and population structure of a wide Pisum spp. core collection."
<p>Silico-DArT and SNP datasets of the IAS pea core collection.</p> <p>Each file contain key information of the molecular markers used to establish the population structure and genetic diversity of the IAs pea core collection.</p>
Different to the core: the pre-supernova structures of massive single and binary-stripped stars
<p>This is a basic reproduction package for the paper "Different to the core: the pre-supernova structures of massive single and binary-stripped stars".</p> <p>This package contains inlists for MESA and processed output.</p>
Polymorphic structure of a-type screw dislocation cores in alpha-Ti
Open the record for dataset details and reuse information.
Data from: Genome-wide assessment of population structure and genetic diversity and development of a core germplasm set for sweet potato based on specific length amplified fragment (SLAF) sequencing
Sweet potato, Ipomoea batatas (L.) Lam., is an important food crop that is cultivated worldwide. However, no genome-wide assessment of the genetic diversity of sweet potato has been reported to date. In the present study, the population structure and genetic diversity of 197 sweet potato accessions most of which were from China were assessed using 62,363 SNPs. A model-based structure analysis divided the accessions into three groups: group 1, group 2 and group 3. The genetic relationships among the accessions were evaluated using a phylogenetic tree, which clustered all the accessions into three major groups. A principal component analysis (PCA) showed that the accessions were distributed according to their population structure. The mean genetic distance among accessions ranged from 0.290 for group 1 to 0.311 for group 3, and the mean polymorphic information content (PIC) ranged from 0.232 for group 1 to 0.251 for group 3. The mean minor allele frequency (MAF) ranged from 0.207 for group 1 to 0.222 for group 3. Analysis of molecular variance (AMOVA) showed that the maximum diversity was within accessions (89.569%). Using CoreHunter software, a core set of 39 accessions was obtained, which accounted for approximately 19.8% of the total collection. The core germplasm set of sweet potato developed will be a valuable resource for future sweet potato improvement strategies.
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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.