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FIGURES – 7. SEM images of Craspedostauros laevissimus from different populations. 42. Close up of the central area externally, showing the weakly expanded central raphe endings and the cribrate areolae with usually four to five peripheral pores and up to one central pore (sample 13). 43. Close up of the central area internally, showing the narrow stauros located in a wider hyaline area, the central raphe endings with double helictoglossa, and the rounded to rectangular areolar openings internally (sample 13). 44. Close up of the apex, showing the bent distal raphe endings, cribrate areoale with up to six peripheral pores and up to two central pores (sample 13). 45. Close ups of both the valve exterior and interior (sample 11), showing the weakly expanded central raphe endings externally; the areolae near the raphe with usually four to five peripheral pores and one central pore; the central raphe endings with double helictoglossa and the rounded areolar openings internally. 46. Internal valve view, showing the narrow transverse rib of silica at the valve center (strauros) and the central raphe endings with double helictoglossa (sample 11). 47. Close up of the apex of the same valve internally, showing the rounded to square or rectangular areolar openings (sample 11). Scale bars = 5 μm (Fig. 46); 1 μm (Figs 42–45,47). in The genus Craspedostauros E.J.Cox (Bacillariophyta) on the coasts of Livingston Island, Maritime Antarctica
FIGURES – 7. SEM images of Craspedostauros laevissimus from different populations. 42. Close up of the central area externally, showing the weakly expanded central raphe endings and the cribrate areolae with usually four to five peripheral pores and up to one central pore (sample 13). 43. Close up of the central area internally, showing the narrow stauros located in a wider hyaline area, the central raphe endings with double helictoglossa, and the rounded to rectangular areolar openings internally (sample 13). 44. Close up of the apex, showing the bent distal raphe endings, cribrate areoale with up to six peripheral pores and up to two central pores (sample 13). 45. Close ups of both the valve exterior and interior (sample 11), showing the weakly expanded central raphe endings externally; the areolae near the raphe with usually four to five peripheral pores and one central pore; the central raphe endings with double helictoglossa and the rounded areolar openings internally. 46. Internal valve view, showing the narrow transverse rib of silica at the valve center (strauros) and the central raphe endings with double helictoglossa (sample 11). 47. Close up of the apex of the same valve internally, showing the rounded to square or rectangular areolar openings (sample 11). Scale bars = 5 μm (Fig. 46); 1 μm (Figs 42–45,47).
Supplemental Table S3. Least square means of the digestible (d) AA (Leu, Ile, Arg, Phe, Thr and Val) supply relative to the cow's requirements (%) for the CTRL, MetLys and MetLysHis groups in the depletion, RP-AA and cross-back period of the trial. Calculations based on the actual DMI, MY and BW of the cows during the experiment.
<p><strong>Supplemental Table S3.</strong> Least square means of the digestible (d) AA (Leu, Ile, Arg, Phe, Thr and Val) supply relative to the cow’s requirements (%) for the CTRL, MetLys and MetLysHis groups in the depletion, RP-AA and cross-back period of the trial. Calculations based on the actual DMI, MY and BW of the cows during the experiment.</p>
Supplemental Table S2. Least square means of BW, DMI, milk yield (MY) and fat- and protein-corrected milk yield (FPCMY), milk protein yield (MPY), milk composition (milk fat, milk protein, milk lactose and MUN), milk N efficiency (MNE) and feed efficiency for the CTRL, MetLys and MetLysHis treatment groups in the pre-experimental, depletion and cross-back period.
<p><strong>Supplemental Table S2.</strong> Least square means of BW, DMI, milk yield (MY) and fat- and protein-corrected milk yield (FPCMY), milk protein yield (MPY), milk composition (milk fat, milk protein, milk lactose and MUN), milk N efficiency (MNE) and feed efficiency for the CTRL, MetLys and MetLysHis treatment groups in the pre-experimental, depletion and cross-back period.</p>
Experimental dataset referring to: 'Transient Freezing of Water in a Square Duct: An Experimental Benchmark"
<p>This data set corresponds to the paper This data set corresponds to the paper Transient Freezing of Water in a Square Duct: An Experimental Benchmark. Please cite this paper when using this data (for instance for validating numerical melting/solidification models)</p> <p>The following flow conditions are included (for both the inlet and the center of the channel):</p> <p>Re = 474, T_c,set = -5<br> Re = 474, T_c,set = -7.5<br> Re = 474, T_c,set = -10<br> Re = 474, T_c,set = -15<br> Re = 1118, T_c,set = -5<br> Re = 1118, T_c,set = -7.5<br> Re = 1118, T_c,set = -10<br> Re = 1118, T_c,set = -15</p> <p>Each folder includes the original PIV images, the PIV images after rotation correction, scaling and AOI selection, the post processed velocity data, the post processed ice-layer and the temperature recordings of the cold-plate as well as the inlet, outlet temperatures and the flow rate (TData). The header for the recordings is included in the main dataset which may be used to navigate the columns and select the relevant data.</p> <p>Finally, there is one folder containing the flow measurements without the ice-growth, such that the flowfield in the channel may be compared to the expected flow field from literature for laminar flow in a square duct.</p>
TA B L E 2 Identified R packages useful for taxonomic name harmonization. Square brackets indicate supplementary references in Harmonizing taxon names in biodiversity data: A review of tools, databases and best practices
TA B L E 2 Identified R packages useful for taxonomic name harmonization. Square brackets indicate supplementary references
Density Functional Theory and Machine Learning for Electrochemical Square-Scheme Prediction: An Application to Quinone-type Molecules Relevant to Redox Flow Batteries
<p>The uploaded data contains (i) "<strong>01_Data</strong>" optimized molecular structure in XYZ format and the primary attributes and SMILES, (ii) "<strong>02_Datasets</strong>" datasets used in the publication, and (iv) "<strong>03_pynb_script</strong>" a Jupyter-Notebook. The <strong>01_Data </strong>directory contains more than 8000 subdirectories. Each is for a molecule that undergoes a two-proton two-electron transfer reaction. In each subdirectory, one finds the following files:</p> <p>(1) directories named corresponding to the ones in Figure 1 of the paper. Inside each, there are geometries and properties in XYZ and CSV format, respectively.</p> <p>(2)<strong> "freeEnergy.dat" </strong>contains the free energy of different states.</p> <p>(3) <strong>"schemesquare.dat" </strong>has the parameters of the electrochemical scheme of square representation.</p> <p>├── A<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── A1-<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── A2-<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── AH<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── AH1+<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── AH1-<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── AH2<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── AH21+<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── AH22+<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── <strong>freeEnergy.dat</strong><br> └── <strong>schemesquare.dat</strong><br> ******************************************************<br> The new version (v1.1) contains some updates around:<br> (i) The DFT calculations workflow in a folder called "<strong>04_workflow_of_DFT</strong>"</p> <p> The Gaussian input files have been explained in the "README" file.</p> <p>(ii) The Python scripts for data extraction have been added and can be found in "<strong>05_how_to_extracted_data</strong>"</p> <p>(iii) We explained how to compute the Purbaix diagram in great detail "<strong>06_how_to_compute_Pourbaix_diagram</strong>/"</p> <p>All these changes/improvements were applied/made following the Referee of Digital Discovery Journal. Here, we would like to thank him/her.</p>
Harvard Square Theatre in Cambridge, MA
This is the façade of the Harvard Square Theatre in Cambridge, Massachusetts. While the Theatre closed down in 2012, Joshua Winer's mural remains facing Church Street. I've walked past it so many times but it never gets old! Created on an iPhone 12 Pro Max using Polycam AI, an incredible tool for creating LiDAR scans on iOS devices: https://polycam.ai/ #1scanaday #LiDARScanChallenge Source: Objaverse 1.0 / Sketchfab
Reliability and Validity of Modified Four Square Step Test
ClinicalTrials.gov study NCT05054192. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effects of Square-stepping Exercise Training on the Attention, Dynamic Balance and Lower Extremity Motor Coordination
ClinicalTrials.gov study NCT04804475. IPD Sharing: NO. Countries: 1. Publications: 1.
Factors Contributing to Single and Dual Task Performance of Four Square Step Tests
ClinicalTrials.gov study NCT03785639. IPD Sharing: NO. Countries: 1. Publications: 1.
Effect of CER-001 on Atherosclerosis in Acute Coronary Syndrome (ACS) Patients - Efficacy and Safety: The CHI SQUARE Trial
ClinicalTrials.gov study NCT01201837. IPD Sharing: Not stated. Countries: 4. Publications: 10.
Comparison of Square Stepping Exercise and Wobble Board Exercise in Elderly Population
ClinicalTrials.gov study NCT07150364. IPD Sharing: NO. Countries: 1. Publications: 14.
Effects of Thai Dance With Twenty-five Squares in Elderly With Mild Cognitive Impairment
ClinicalTrials.gov study NCT06236646. IPD Sharing: NO. Countries: 1. Publications: 4.
Mi QUIT CARE (Mile Square QUIT Community-Access-Referral-Expansion)
ClinicalTrials.gov study NCT04827420. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: A method for assessing phylogenetic least squares models for shape and other high-dimensional multivariate data
Open the record for dataset details and reuse information.
Data from: Molecular square dancing in CO-CO collisions
Open the record for dataset details and reuse information.
Data from: Fast dating using least-squares criteria and algorithms
Open the record for dataset details and reuse information.
Parkinson’s disease propagation using MRI biomarkers and partial least squares path modeling
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Experimental flows through an array of emerged or slightly submerged square cylinders over a rough bed
<p>The experimental dataset was collected in an 18 m long and1 m wide laboratory flume.<br> An urbanised floodplain is modelled. The bed is rough, modelled with dense artificial grass. An array of square cylinders, representing housemodels, was set on the rough bed. The cylinder immersion rate was varied: cylinders are emerged for three flow cases<br> H/k = 42%, 93% and 98% (H water depth and k obstacle height) and slightly submerged for H/k = 148%.<br> This dataset comprises water, velocities across the channel and between y/(L/2) = 5 to 7 (L = 14.3 cm) measured using an Acoustic Doppler Velocimetry with a side looking probe, and velocities in longitudinal-vertical planes measured using Particle Image Velocimetry.</p> <p>This data set is explained in detail the following article :<br> Oukacine, M., Proust, S., Larrarte, F. <em>et al.</em> Experimental flows through an array of emerged or slightly submerged square cylinders over a rough bed. <em>Sci Data</em> <strong>8, </strong>6 (2021). <a href="https://doi.org/10.1038/s41597-020-00791-w">https://doi.org/10.1038/s41597-020-00791-w</a></p>
Data from: Compressor map regression modelling based on partial least squares
In this work, two kinds of partial least squares modelling methods are applied to predict a compressor map: one uses a Power function polynomial as the basis function (PLSO), and the other uses a trigonometric function polynomial (PLSN). To demonstrate the potential capabilities of PLSO and PLSN for a typical interpolated prediction and extrapolated prediction, they are compared with two other classical data-driven modelling methods, namely, the look-up table and artificial neural network. PLSO and PLSN are also compared to each other. The results show that PLSO and PLSN have a better prediction performance than the look-up table and the artificial neural network, especially for the extrapolated prediction. At the same time, the computational time is also decreased sharply. Compared with PLSO, PLSN is characterized with higher prediction accuracy and shorter computational time than PLSO. It can be expected that PLSN can be time-saving and improve the accuracy of a thermodynamic model of a diesel engine.
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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)
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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.