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63 results for “In situ Analysis”
Data for 'Deriving spatial features from in situ proteomics imaging to enhance cancer survival analysis'
<p>Additional data for 'Deriving spatial features from in situ proteomics imaging to enhance cancer survival analysis'</p>
Rietveld quantitative phase analysis of Oil Well Cement: in situ hydration study at 150 bars and 150ºC
<p>Raw data for: Rietveld Quantitative Phase Analysis of Oil Well Cement: In Situ Hydration Study at 150 Bars and 150 °C;</p> <p>doi: <a href="https://doi.org/10.3390/ma12121897">https://doi.org/10.3390/ma12121897</a></p> <p>Oil well cements are multimineral materials that hydrate under high pressure and temperature. Its overall reactivity at early ages is studied by a number of techniques including the consistometer. However, for a proper understanding of the performances of these cements in the field, the reactivity of every component, at the field conditions, must be analysed. So far, <em>in situ</em> high energy synchrotron powder diffraction studies of hydrating oil well cement pastes have been carried out but the quality of the data was not appropriated for Rietveld quantitative phase analyses. Therefore, the phase reactivities were followed by the inspection of the evolution of non-overlapped diffraction peaks. Very recently, we have developed a new cell specially designed to rotate under high pressure and temperature. Here, this spinning capillary cell is used to <em>in situ</em> study the hydration of a commercial oil well cement paste at 150 bars and 150 ºC. The powder diffraction data have been analysed by the Rietveld method to quantitatively determine the reactivities of each component phase. The reaction degree of alite was 90% after 7 hours and that of belite was 42% at 14 hours. These analyses are accurate as the <em>in situ</em> measured crystalline portlandite content at the end of the experiment, 12.9 wt%, compares relatively well with the value determined <em>ex situ</em> by thermal analysis, 14.0 wt%. The crystalline calcium silicates forming at 150 bars and 150 ºC are also discussed.</p>
Supplementary materials for Detrital garnet geochronology by in-situ U-Pb and Lu-Hf analysis: A case study from the European Alps
<p>Figure S2. Interactive 3D version of Fig.2 from main text, using the same symbology. To open, unzip folder and launch the .xhtml file in any internet browser. Use scroll wheel to zoom, left-click and drag to rotate.</p> <p><br> Table S1. Analytical parameters for garnet U-Pb and Lu-Hf analysis.</p> <p><br> Table S2. Isotopic and trace-element data.</p> <p><br> Table S3. Raman data.</p>
A gap analysis modeling framework to prioritize collecting for ex situ conservation of crop landraces
Open the record for dataset details and reuse information.
Using Population Viability Analysis (PVA) to inform and adapt ex situ conservation activities benefitting a Critically Endangered butterfly
Open the record for dataset details and reuse information.
Data from: An optimized protocol for large-scale in situ sampling and analysis of volatile organic compounds
Chemical ecology is an ever‐expanding field with a growing interest in population‐ and community‐level studies. Many such studies are hindered due to lack of an efficient and accelerated protocol for large‐scale sampling and analysis of chemical compounds. Here, we present an optimized protocol for such large‐scale study of volatiles. A large‐scale in situ study to understand role of semiochemicals in variation in mating success of lekking blackbuck was conducted. Suitable methods for sampling and statistical analysis were identified by testing and comparing the efficiencies of available techniques to reduce analysis time while retaining sensitivity and comprehensiveness. Solid‐phase extraction using polydimethylsiloxane, analysis using a semiautomated detection of retention time and base peak, and statistical analysis using random forest algorithm were identified as the most efficient methods for large‐scale in situ sampling and analysis of volatiles. The protocol for large‐scale volatile analysis can facilitate evolutionary and metaecological studies of volatiles in situ from all types of biological samples. The protocol has potential for wider application with the analysis and interpretation methods being suitable for all kinds of semiochemicals, including nonvolatile chemicals.
In Situ Volumetric Imaging and Analysis of FRESH 3D Bioprinted Constructs Using Optical Coherence Tomography (Data and 3D models)
<p>These files contain 3D models and reconstructions of the 3D printed models after OCT imaging of the brain stem, circle of willis, kidney, vestibular apparatus, mixing network, and resolution text. These are from the journal article "In Situ Volumetric Imaging and Analysis of FRESH 3D Bioprinted Constructs Using Optical Coherence Tomography" published in <em>Biofabrication </em>(2022).</p>
Distance Tuneable Integral Membrane Protein Containing Floating Bilayers via In Situ Directed Self-Assembly : Data and Analysis Scripts
<p>Neutron Reflectometry data and analysis scripts (for RasCal software) and Quartz Crystal Microbalance data and plotting script for data shown in Figures 1, 3, 4 and 5 of the Article: Distance Tuneable Integral Membrane Protein Containing Floating Bilayers via In Situ Directed Self-Assembly.</p>
Analysis of Orbital Sounding in Context with In Situ Ground Penetrating Radar at Jezero Crater, Mars
<p>This release includes all the SHARAD data used to produce analysis and figures in the paper, "Analysis of Orbital Sounding in Context with In Situ Ground Penetrating Radar at Jezero Crater, Mars", by M.C. Raguso et al., submitted to Geophysical Research Letters in February 2024.</p> <p>The manuscript is currently under review. The dataset will be released following the completion of the review process.</p> <p>This release also includes slides (pdf format) presented during the RIMFAX Science Team meeting (09/6/22-09/09/22).</p> <p>Preferred citation (DataCite format): </p> <p>Raguso, M.C., & Nunes, D.C. (2024). Analysis of Orbital Sounding in Context with In Situ Ground Penetrating Radar at Jezero Crater, Mars. [Dataset]. Zenodo. <a href="https://doi.org/10.5281/zenodo.10681430">https://doi.org/10.5281/zenodo.10681430</a></p> <p><em>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file.</em></p>
Research Data for "Kinetic Analysis of the Self-Discharge of the NiOOH OER Active Phase in KOH Electrolyte: Insights from In-Situ Raman and UV-Vis Reflectance Spectroscopies"
<p>This dataset provides the underlying experimental and simulation raw data supporting the figures of both main text and supporting information of the paper "Kinetic Analysis of the Self-Discharge of the NiOOH OER Active Phase in KOH Electrolyte: Insights from In-Situ Raman and UV-Vis Reflectance Spectroscopies" appearing in <em>Journal of Catalysis</em> under DOI: <a href="https://doi.org/10.1016/j.jcat.2024.115823" rel="noreferrer">https://doi.org/10.1016/j.jcat.2024.115823</a>.</p>
Fig. 6 in Multivariate analysis of chemical and genetic diversity of wild Humulus lupulus L. (hop) collected in situ in northern France
Fig. 6. Heatmap highlighting variation of volatile compounds across the 63 hop accessions from Northern France. This heatmap has been generated with normalized data for the top 51 molecules responsible for differences between the chemical profiles. Red and green colors indicate lowest and highest performance of the traits, respectively. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Multivariate analysis of chemical and genetic diversity of wild Humulus lupulus L. (hop) collected in situ in northern France
Fig. 5. Identification of population genetic structure of the 63 accessions of Humulus lupulus L. sampled in Northern France (Hauts-de-France region) using 11 microsatellites. A. Bar plot showing the distribution of individual assignations estimated for K = 2 and K = 6 clusters, from Bayesian inference cluster analysis performed with the 53 Humulus lupulus haplotypes sampled from the 14 locations (from A to K). Each vertical line represents an individual and the length of each colored line corresponds to the membership coefficient (scale at the left of the bar plot) for each cluster. Individuals are grouped according to their sampling locations. B. Frequencies of the 6 clusters (represented by colors) within each sampled location. Colors are same than on Fig. 5A. C. Principle Component Analysis (PCoA) based on genetic distances between each accession. Individuals were colored according to their sample site collection. D. Dendrogram underlying genetic clustering of the 63 hop accessions, including 10 commercial varieties (samples 1 to 10), 3 heirloom varieties (samples 11 to 13) and 50 wild sampled from 11 geographical locations (cf Table 1). 1: Nugget, 2: Strisselspalt, 3: Golding, 4: Challenger, 5: Brewers Gold, 6: Cascade, 7: Magnum, 8: Northern Brewer, 9: Target, 10: Fuggle, 11: Groene Bel, 12: Star, 13: Coigneau, Location A: 14 to 18; Location B: 19 to 23; Location C: 24 to 28; Location D: 29 to 32; Location E: 33 and 34; Location F: 34 and 35; Location G: 37 and 38; Location H: 39 to 42; Location I: 43 to 52; Location J: 53 to 58; Location K: 59 to 63. The tree was constructed using the unweighted neighbor-joining method based on genetic dissimilarity among the haplotypes according to microsatellite markers. Each branch corresponds to a hop genotype and the colors of branches indicate locations from which the genotypes were sampled. The color code is the same as the one on Fig. 5C.
Fig. 2 in Multivariate analysis of chemical and genetic diversity of wild Humulus lupulus L. (hop) collected in situ in northern France
Fig. 2. Analysis of volatile compounds in hop cones by GC-MS. A. Chemical structure of main volatile compounds found in hop cones. B. GC-MS total ion chromatogram of a hop cone sample (cv. Nugget). Compounds identified correspond to the following compounds: (1) β-myrcene; (2) β-caryophyllene; (3) linalool; (4) 2- undecanone; (5) copaene; (6) α-humulene; (7) γ-muurolene.
Fig. 4 in Multivariate analysis of chemical and genetic diversity of wild Humulus lupulus L. (hop) collected in situ in northern France
Fig. 4. Results of characterization of soil samples collected close to the root environment of the 63 hops studied. These 63 hops samples are represented by ten commercial varieties: Nugget comes from « comm_1 »; Strisselspalt comes from « comm_2 » and other commercial cultivars come from the same field « comm_3–10 »; three heirloom varieties coming from the same field identified as « old »; and fifty wild hops identified according to Table 1. The characterization of soil samples was based on pH and conductivity measurements, on organic matter content determined by loss of ignition as well as on dosage of the sodium, potassium, calcium and magnesium elements. A. Dendrogram including hierarchical cluster analysis (N = 8) among soil samples determined by soil characterization. B. Heatmap associated to the dendrogram. The 8 clusters of the hierarchical clustering were reported on the heatmap. C. Pictures of soil samples from locations B (Tourbi`ere de Vred, Vred) (1), D (Cap Blanc nez, Wissant) (2) and K (Dunes d'Ecault) (3).
Fig. 1. Main hop prenylated phenolic compounds A in Multivariate analysis of chemical and genetic diversity of wild Humulus lupulus L. (hop) collected in situ in northern France
Fig. 1. Main hop prenylated phenolic compounds A. Chemical structure of major chalcones and acylphloroglucinols produced by hops and their molecular weight. B. Chromatogram of a crude hydro-ethanolic extract of hops (cultivar Nugget) at 330 nm. XN: xanthohumol, α1: co-humulone; α2: humulone; α3: ad-humulone; β1: colupulone; β2: lupulone; β3: ad-lupulone.
Fig. 3 in Multivariate analysis of chemical and genetic diversity of wild Humulus lupulus L. (hop) collected in situ in northern France
Fig. 3. Geographical repartition of the fifty accessions of wild hop (Humulus lupulus L.) collected on the 11 locations A to K in the North of France.
Fig. 8. Untargeted metabolomic analysis A in Multivariate analysis of chemical and genetic diversity of wild Humulus lupulus L. (hop) collected in situ in northern France
Fig. 8. Untargeted metabolomic analysis A. Principle component analysis of the 63 chemotypes of hop studied. Each symbol represents a single plant from the different accessions. Commercial varieties (10 accessions), heirloom varieties (3 accessions), wild hops collected on different locations (50 accessions, Fig. 3). B. Principle component analysis of the chemical markers.
Fig. 7 in Multivariate analysis of chemical and genetic diversity of wild Humulus lupulus L. (hop) collected in situ in northern France
Fig. 7. Results of the statistical treatment of data for the quantitation of xanthohumol, co-, n-, ad-humulone and co-, n-, ad-lupulone. This quantitation has been performed on the 63 crude hydro-ethanolic extracts of hop cone powder from Northern France, including 10 commercial varieties, 3 heirloom varieties and 50 wild hops (Fig. 1, Table 2). A. PCA biplot of quantitation data with score plot and loading plot of variables. Individuals were colored by collection site for a given observation. Variable contribution to component was represented by arrows length. B. Dendrogram of the hierarchical cluster analysis among the 63 hops based on the quantitation similarity (Ward's method, distance scale) (N = 3).
In Situ Thrombolysis With tPA and Inflow Perfusion Analysis in Patient With Severe Covid-19 Infection
ClinicalTrials.gov study NCT04926428. IPD Sharing: YES. Countries: 1. Publications: 5.
Analysis of Ocular Surface Microbiota in Dry Eye Patients After Femtosecond Laser-assisted In-situ Keratomileusis (FS-LASIK)
ClinicalTrials.gov study NCT06448468. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.