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12,346 results for “derivatives”
Raw data sets for: A simple calculation algorithm to seperate high-resolution CH4 flux measurements into ebullition- and diffusion derived components (AMT)
<p>Raw data sets for the research article "A simple calculation algorithm to seperate high-resolution CH4 flux measurements into ebullition- and diffusion derived components", published in "Atmospheric Measurment Techniques" (AMT). Data sets include raw data sets for the field and laboratory study, as well as calculated CH4 fluxes (field).</p>
ROS-Specific Huntingtin Interactions: IP Optimization in Patient-Derived Cells
<p>Optimization step in the lead up to mass spec identification of ROS-specific huntingtin protein-protein interactions.</p>
A temporally continuous divergence and vorticity dataset in Beijing derived from the radar wind profiler mesonet during 2023
<p>A temporally continuous horizontal divergence and vertical vorticity dataset is produced by horizontal winds derived from the radar wind profilers mesonet in Beijing by applying the triangle method. This dataset covers the period of 2023 with a temporal resolution of 6-minute and a vertical resolution of 120 m. The dataset is of significance for a multitude of scientific research and applications, including air quality, convection initiation and so on. The latest version includes rain flags of triangles.</p>
Dataset for paper "Interpreting the shifts in forest structure, plant community composition, diversity, and functional identity by using remote sensing-derived wildfire severity"
<p>Interpreting the shifts in forest structure, plant community composition, diversity, and functional identity by using remote sensing-derived wildfire severity . New collected data</p>
Global snow water equivalent product derived from machine learning model trained with in situ measurement data
<p>This dataset is a global snow water equivalent dataset using machine learning trained with in-situ measurements. The temporal resolution of the SWEML product is daily, and the spatial resolution is 0.25˚ (approximately 25km). It covers latitudes of 90S to 90N and longitudes of 180W to 180E with global scales, excluding Antarctica. The dataset is provided in NetCDF format, organized by year. Each year contains daily SWE data, including leap days in leap years.</p>
Phlorest phylogeny derived from Sicoli & Holton 2014 'Linguistic phylogenies support back-migration from Beringia to Asia'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Sicoli MA & Holton G (2014) Linguistic phylogenies support back-migration from Beringia to Asia. PLoS One 9(3):e91722.</p> </blockquote>
Phlorest phylogeny derived from Robinson and Holton 2012 'Internal Classification of the Alor-Pantar Language Family Using Computational Methods Applied to the Lexicon'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Robinson, L. C., & Holton, G. (2012). Internal Classification of the Alor-Pantar Language Family Using Computational Methods Applied to the Lexicon. Language Dynamics and Change, 2(2), 123-149. doi:10.1163/22105832-20120201</p> </blockquote>
Phlorest phylogeny derived from Atkinson 2006 'From Species to Languages: a phylogenetic approach to human prehistory'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Atkinson, Quentin D. 2006. From Species to Languages: a phylogenetic approach to human prehistory. PhD Thesis, University of Auckland, New Zealand.</p> </blockquote>
Data for mycorrhizal C/N ratio determines plant-derived carbon and nitrogen allocation to symbiosis
<p><span><span>Nutrient cycling in temperate forests is driven by carbon allocation of trees to soil via ectomycorrhizas (EM). The sink activities of different fungal taxa for host resources are unknown. Aboveground dual </span><span>labeling of young beech<span> with <sup>15</sup>N and <sup>13</sup>C was used to trace resource transport to ectomycorrhizal root tips. Isotope enrichment in EM correlated with that in the corresponding EM-attached lateral root, supporting that EM drive taxon-specific N- and C-fluxes. The enrichments with <sup>13</sup>C and <sup>15</sup>N in EM increased with decreasing C/N ratio of the symbiotic association. Abundances of EM species were positively correlated with <sup>13</sup>C enrichment, demonstrating higher fitness of stronger than of less C-demanding symbioses. Overall, our results imply that differences among the resource traits of EM species regulate the supply of the symbioses with host-derived C and N.</span></span></span></p> <p><span><span><span>Here we provide the data sets containing information on the identities of fungal species colonizing roots tips of European beech and for N, C, 15N and 13C contents in bark, coarse roots, fine roots, very fine lateral roots, ectomycorrhizal species and rhizosphere soil and for biomass of the different compartments. The data were collected 5 and 20 days after labelling.</span></span></span></p>
CLDF dataset derived from Girard's "Proto-Takanan Phonology" from 1971
<p>Cite the source of the dataset as:</p> <blockquote> <p>Girard, Victor (1971): Proto-Takanan Phonology. University of California Press, Berkeley.</p> </blockquote>
Dataset for On the Tunability of Toxicity for Viologen-Derivatives as Anolyte for Neutral Aqueous Organic Redox Flow Batteries
<p>Dataset of the results published in ChemSusChem 10.1002/cssc.202300626. Viologen-derivatives are the most widely used redox organic molecules for neutral pH negative electrolyte of redox flow batteries. However, the long-established toxicity of the herbicide methyl-viologen raises concern for deployment of viologen-derivatives at large scale in flow batteries. Herein, we demonstrate the radically different cytotoxicity and toxicology of a series of viologen-derivatives in in vitro assays using model organisms representative of human and environmental exposure, namely human lung carcinoma epithelial cell line (A549) and the yeast Saccharomyces cerevisiae. The results show that safe viologen derivatives can be molecularly engineered, representing a promising family of negolyte materials for neutral redox flow batteries</p>
Influences of Satellite Sensor and Scale on Derivation of Ecosystem Functional Types and Diversity
<p>These are the datasets where were generated for paper "Influences of Satellite Sensor and Scale on Derivation of Ecosystem Functional Types and Diversity"</p>
A potential patient stratification biomarker for Parkinson´s disease based on LRRK2 kinase-mediated centrosomal alterations in peripheral blood-derived cells
<p>Annotated WES VCF file and phenotype file used in Gene burden analysis of Naaldijk et al., "A potential patient stratification biomarker for Parkinson´s disease based on LRRK2 kinase-mediated centrosomal alterations in peripheral blood-derived cells", 2023. </p><p> </p>
Digital research data from: Evaluation of a pH- and time-dependent model for the sorption of heavy metal cations by poultry litter-derived biochar
<p>This is digital research data corresponding to a published manuscript, Evaluation of a pH- and time-dependent model for the sorption of heavy metal cations by poultry litter-derived biochar. Chemosphere (2024), 347, 140688. https://doi.org/10.1016/j.chemosphere.2023.140688. </p> <p>Common isotherm and kinetic models cannot describe the pH-dependent sorption of heavy metal cations by biochar. In this paper, we evaluated a pH-dependent, equilibrium/kinetic model for describing the sorption of cadmium (Cd), copper (Cu), nickel (Ni), lead (Pb), and zinc (Zn) by poultry litter-derived biochar (PLB). We performed sorption experiments across a range of solution pH, initial metal concentration, and reaction time. </p>
Raw Data of Biodiesel production from waste cooking oil using calcium oxide (CaO) derived from Waste Scallop Shell
<p>The data are the results of laboratory tests on CaO catalysts made from scallop shells, testing the physicochemical, thermal and performance properties of biodiesel samples synthesized from waste cooking oil.</p>
SNP data for F2 population derived from Oryza rufipogon and O. nivara
<p>To elucidate the genetic architecture underlying phenotypic divergence is essential to the understanding of ecological adaptation and speciation. Two wild rice species (<em>O. rufipogon</em> and <em>O. nivara</em>) are a progenitor-daughter species pair with ecological divergence and provide a unique system for studying ecological adaptation/speciation. Here, we constructed a high-resolved linkage map and conducted a quantitative trait locus (QTL) analysis of 19 phenotypic traits using an F<sub>2</sub> population generated from a cross between the perennial <em>O. rufipogon</em> and annual <em>O. nivara</em>. We identified 113 QTLs associated with interspecific divergence of 16 quantitative traits, with effect sizes ranging from 1.61% to 34.1% in terms of the percentage of variation explained (PVE). The distribution of effect sizes of QTLs followed a negative exponential, suggesting that a few genes of large effect and many genes of small effect were responsible for the phenotypic divergence. We observed 18 clusters of QTLs (QTL hotspots), with each involving multiple adaptive traits, demonstrating the importance of coinheritance of loci/genes in ecological adaptation/speciation. Analysis of effect direction and <em>v</em>-test statistics revealed that interspecific differentiation of most traits was driven by divergent natural selection, supporting the argument that ecological adaptation/speciation would proceed rapidly under coordinated selection on multiple traits.</p>
Data from: incubation as a driver of maternal effects: temperature influences levels of yolk maternally derived 5α-dihydrotestosterone
<p>In birds, maternal hormones deposited into eggs in response to environmental stimuli can impact offspring phenotype. Although less studied, environmental conditions can also influence females' incubation behavior, which might play a role in regulating embryo exposure to maternal hormones through changes in incubation temperature that affect the activity of the enzymes responsible for converting testosterone (T) to 5α-dihydrotestosterone (DHT) or estradiol. Here, we tested the hypothesis that the initial T content of the yolk and incubation temperature determine exposure to T metabolites during early embryo development. In the Japanese quail (<em>Coturnix japonica</em>), we experimentally manipulated yolk T and incubation temperature (38° C versus 36° C) and analyzed DHT and estradiol titers on day four of incubation. We found that eggs with experimentally increased T and those incubated at 36° C showed higher DHT concentration in egg yolk (with no synergistic effect of the two treatments). Estradiol titers were not affected by T manipulation or incubation temperature. Our study suggests that incubation temperature influences DHT titers and may act as an understudied source of maternal influence on offspring phenotype.</p>
Induced pluripotent stem cell-derived cardiomyocyte in vitro models: tissue fabrication protocols, assessment methods, and quantitative maturation metrics for benchmarking progress
<p>The advent of human induced pluripotent stem cells (hiPSCs) and techniques to differentiate cardiomyocytes from them has opened a viable path to creating <em>in vitro</em> models of normal and diseased hearts, accelerating more predictive drug screening and therapeutic strategies for cardiac pathologies. Currently, hiPSC-derived cardiomyocytes (hiPSC-CMs) are more similar to fetal than adult cardiomyocytes, leading many in the field to explore approaches to enhance cell and tissue maturation. There are over 2,000 studies utilizing hiPSC-CMs in models composed of various combinations of cell and extracellular matrix components, using a plethora of differentiation protocols, culture formats, and methods for quantifying cardiomyocyte function. To assess the current state of this rapidly growing area, we systematically analyzed 300 studies using hiPSC-CM models for their selection of hiPSC lines, hiPSC-CM differentiation protocols, types of <em>in vitro </em>models, maturation techniques, and metrics used to assess cardiomyocyte functionality and maturity. Here, we provide the data compiled from our analysis of these papers so others in the field can utilize it to inform their research.</p> <p>Based on this analysis, we highlight the diversity of, and current trends in, <em>in vitro</em> model designs and highlight the most common and promising practices for functional assessments. We further analyzed outputs spanning structural maturity, contractile function, electrophysiology, and gene expression and note field-wide improvements over time. Finally, we observe that a persistent lack of coordination amongst investigators is limiting the field's ability to benchmark and advance hiPSC-CM function against previous studies. We discuss opportunities to collectively pursue the common goal of hiPSC-CM model development, maturation, and assessment that we believe are critical to drive the entire community forward in engineering mature cardiac tissue.</p>
Data for: Sensitive and specific detection of tumor-derived exosomes using nanopore-crystal microchips
<p>Tumor-derived exosomes (tExos) have emerged as promising circulating biomarkers for early cancer diagnosis. However, the sensitivity and specificity of existing assays often limit the clinical translation of tExos. In this study, we present a highly versatile microfluidic platform, termed the nanopore-crystal microchip (NC-Chip), for specific isolation and ultrasensitive detection of tExos in as little as 0.5 μL of plasma samples from pancreatic cancer (PC) patients. The NC-Chip incorporates a herringbone-patterned hierarchical porous hydrogel scaffold, enabling fluid manipulation, size exclusion, immunoaffinity capture, and signal amplification. These integrated features significantly enhance the sensitivity and specificity of tExos assays in complex clinical scenarios. Utilizing an eight-protein signature, the NC-Chip can distinguish patients with pancreatitis and non-metastatic PC with 100% accuracy in the training cohort and 94.9% accuracy in the validation cohort. This platform is sensitive, specific, inexpensive, and only needs small-volume samples, offering a powerful exosome-based liquid biopsy tool for early PC diagnosis.</p>
Prediction of mechanistic subtypes of Parkinson's using patient-derived stem cell models
<p>Data and pipelines used to predict mechanistic subtypes of Parkinson's disease using patient-derived stem cell model.</p> <p><strong>Lists of files included;</strong></p> <ul> <li>chemPredPD2022_Imaging process pipelines: pipelines to extract tabular data in Columbus Image Data Storage and Analysis System</li> <li>demo_data_images: a set of data for the Demo</li> <li>ImageData</li> <li>TabularData</li> <li>New test data_PINK1_isoCTRL</li> <li>New test data_SNCA_isoCTRL</li> <li>Tabular_demo_data</li> </ul>
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.