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Fig. 1 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 1: Map of the study area.
Cyclic Direct Simple Shear (CDSS) - Sand S30T - Constant Volume condition - Dr 0.85 - 1
<p>Each CDSS test includes a PDF file (containing the grain size distribution) and a text file.</p> <p>The CDSS tests were performed under specified conditions: </p> <p>Normal stress: 100 - 500 kPa</p> <p>Number of cycles: 1000</p> <p>Preparation: Tamping</p> <p>Sample dimensions: h=20 mm, d=71,4mm</p> <p>Relative density: 0.85</p> <p>Test conditions: constant volume</p> <p>CSR/MSR: different</p>
Trained Potentials for Article "Computationally Efficient Machine-Learned Model for GST Phase Change Materials via Direct and Indirect Learning"
<p>We provide 8 files here to get started using our trained potentials:</p> <p>1) *.yaml files for each trained potential. These are the outputs of the PACE training process.</p> <p>2) *.yace files for each trained potential. These are read by LAMMPS to use the trained potential. They can be obtained from the *.yaml files using the command line command: "pace_yaml2yace *.yaml".</p> <p>3) GST_config.data -- a starting configuration of GST to be read by LAMMPS. This configuration contains 504 atoms at density 5.85 g/cm^3.</p> <p>4) sample.inp -- a sample LAMMPS input file using the trained potentials. This currently uses "ACE-Indir2.yace" to run the starting configuration "GST_config.data" for 10 ps at 1200 K. When run, it outputs a log file "test.log" and a dump file "test.dump". The choice of trained potential can be changed in the "pair_coeff" section.</p>
Fig. 6 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 6: Scatterplot matrices for Large (A) and Linear (B) FM functions.
Fig. 8 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 8: High values of the FP c index as estimated by Local Moran's I test.
Fig. 5 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 5: Spatial representation of coastal vessels activity indexes (Ac).
Fig. 4 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 4: Spatial representation of the Coastal fishery suitability index (Sc).
Fig. 3 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 3: Spatial representation of the criteria ranking taken into account in MCDA.
FIGURE 3 in Mixture formation in a partially stratified directly injected natural gas engine
FIGURE 3: The effect of varied gall density (low vs high) on leaves of T. cordata and T. tomentosa infested by P. tetratrichus on the total level of flavonols (a), anthocyanins (b) and tannins (c). Different letters (lower case for T. cordata and capital for T. tomentosa) above the bars indicate statistically significant differences among treatments (Kruskal-Wallis non-parametric test or Tukey's HSD test, P=0.05). The asterisks indicate statistically significant differences among the control treatments for T. cordata and T. tomentosa (Student's t-test; * – P<0.05; ** – P<0.01). Means SD of untransformed data are shown.
FIGURE 2 in Mixture formation in a partially stratified directly injected natural gas engine
FIGURE 2: The cross-sections through the edgerolling on T. cordata (a – d) and erineum on T. tomenosa (e-f) leaves at the early phase of development (a-c) and at the more expanded phase (d – f). Phenolics (deep-red in colour) are localised in the cells of the outer layer of the nutritive tissue of both gall types. Starch grains (arrow) dominate within the cells of hypertrophied parenchyma (d). The P. tetratrichus specimens are localised within distinguishable cavities of roll-gall (b, c, d). The presence of red coloured deposits within eriophyoid bodies (d, arrow) suggests that phenolics can be sequestered. Magnification: 90x (a, b, c, e, f); 180x (d).
FIGURE 1 in Mixture formation in a partially stratified directly injected natural gas engine
FIGURE 1: The effect of P. tetratrichus feeding on linden leaf morphology: edgerollings on T. cordata leaves at a low (a) and high (b) density and erinea on T. tomentosa leaves at a low (c) and high (d) density visible from the upper side of the leaf blade.
Dataset - SYSTEMATIC LITERATURE REVIEW OF CHINA-BRAZIL RELATIONS (1993-2023): EXPLORING NEW RESEARCH DIRECTIONS
<p>The dataset contains five files. The first one, "rawDatabase.xlsx," pertains to the Systematic Literature Review after applying exclusion criteria, comprising 208 records. The remaining files ("class_x_export.txt") contain data generated by the Hierarchical Descendent Classification technique using Iramuteq software.</p>
Constraining light absorption of brown carbon in China and implications for aerosol direct radiative effect
<p><span>B</span><span>rown carbon (</span><span>BrC) in China is of great interest to the regional and global climate due to its strong absorption of sunlight. However, </span><span>the contribution of BrC to total </span><span>carbonaceous </span><span>aerosol light absorption and its direct radiative effects (DRE) in China remains largely uncertain. To better assess its climate impact in China, we develop an explicit BrC scheme and implement it in a global climate model, which includes optical parameters of primary BrC derived from local measurements, secondary BrC absorption, and a photobleaching parameterization of BrC. By comparing with multi-type observational data, we find that with the implementation of this scheme, the model captures the seasonal variations of BrC light absorption well in China. The model estimates that </span><span>BrC contributes </span><span>19</span><span>% and </span><span>12</span><span>% to the total light absorption of carbonaceous aerosol in China in winter and summer, resulting in 0.</span><span>110</span><span> W m<sup>-2</sup> and 0.</span><span>205</span><span> W m<sup>-2</sup> of DRE, respectively.<span> </span></span></p>
A direct comparison of single grain and multi-grain aliquot measurements of feldspars from colluvial deposits in KwaZulu-Natal, South Africa
<p>This dataset accompanies a manuscript intended for submission to the journal Geochronology. The dataset includes the raw luminescence data (.binx format) generated during equivalent dose measurements of all samples, for single grain and multi-grain aliquot measurements. It also includes the .RDS files, which are the output of bayesian modelling using BayLum. Furthermore, the dataset includes the Rcodes used for bayesian modelling, as well as to generate the standardised growth curves and the application of the LnTn method. The dataset is accompanied by a .txt file, which contains information on file labelling, measurement conditions, and the R codes developed/used as part of the study.</p>
Dataset: Hourly Solar Radiation at Tilt Angle and Direction in Tel Aviv
<p><span>This dataset is based on hourly month averages of a typical year in Tel Aviv as determined by the Israel Meteorological Service. The results are for every hour for 6 tilt angles and 16 directions.</span></p> <p><span>The dataset is in two parts. The first part contains the global radiation every hour in 6 tilt angles and 16 directions in Tel Aviv, expressed in W/m2.</span></p> <p><span>The second part contains conversion factors from global radiation on the horizontal surface to the selected tilt angle and direction. </span></p> <p><span>The dataset includes 96 tables expressed in W/m2 and 96 tables of conversion factors. Each table contains data for each hour between 5:00 and 19:00 each month, 180 items per table. Total the dataset includes 17,280 conversion factors and the same number of global radiation records in W/m2.</span></p> <p><span>The dataset is available online at nowagreen.com/se.</span></p> <p> </p>
How can the European Ecodesign Directive guide the deployment of hydrogen-related products for mobility?
<p>Fuel cells and hydrogen products are expected to be increasingly deployed as European economies set course towards the energy transition. In order to actually contribute to the overall goal of sustainability, these products should be conceived as sustainable-by-design options and effective assessment tools are thus required to guide the design process. For the first time in the specific field of hydrogen-related products, this work tests and discusses the suitability of the instrument provided by the European Ecodesign Directive for such purposes: the EcoReport tool linked to the Methodology for Ecodesign of Energy-related Products. To that end, the propulsion systems of a fuel cell passenger car and a fuel cell heavy duty truck were assessed. First, two base cases defined according to current key performance indicators were implemented in the EcoReport tool to gain insights into ecodesign hotspots and gaps of the tool for its practical use to evaluate hydrogen-related products. Secondly, after adjusting the EcoReport tool according to the findings of the previous step, both cases were parametrised to estimate, under eco-efficiency and criticality aspects, up to which extent short-term technological targets could improve their performance. Overall, the EcoReport tool is concluded to be valuable for an early assessment and subsequent development of ecodesign measures for hydrogen-related products provided that it is upgraded in terms of direct data availability, updated criticality characterisation factors and impact assessment methods. By reaching the key performance indicators expected for 2030, the assessed products for mobility would arise as competitive road transport alternatives. Nevertheless, this performance is highly dependent on the production pathway of the hydrogen used as a fuel, which highlights the need for a holistic deployment of the hydrogen economy.</p>
Compilation of LCF and TMF Data for Single-Crystal and Directionally-Solidified Ni-base Superalloys (All Orientations)
<p>This Excel file contains a compilation of low cycle fatigue (LCF) and thermomechanical fatigue (TMF) data for single-crystal (SX) and directionally-solidified (DS) Ni-base superalloys that are typically used for blades and vanes in gas turbines. Most of the data is generated by strain-controlled uniaxial fatigue tests. Both continuous cycling and cycles with dwells (hold times) at either the maximum or minimum of the cycle are included in the dataset.</p> <p>Several different alloys with similar mechanical behaviors are included in the dataset. The dataset only includes materials that have undergone a solution and age heat treatment typical of that applied to blade and vane components. All the fatigue data in this dataset is limited to uniaxial cyclic loading. The loading direction with respect to the crystal orientation or solidification direction varies. The data in this dataset has been extracted from the public domain. The sources of the data are included in the Excel file.</p> <p>This data is used to train a Probabilistic Physics-guided Neural Network (PPgNN) that outputs a strain-life curve, including the mean response and 95% confidence intervals. The INPUTS and OUTPUTS used in the PPgNN are highlighted in the Excel file.</p>
Response of a fringing reef coastline to the direct impact of a tropical cyclone
<p>The data contains observations from the impact of Tropical Cyclone Olwyn to northwest Western Australia in March 2015. A cross-shore array of 5 pressure sensors were deployed to measure wave heights and water levels at Point Jurabi (~5 km north of Tantabiddi), Ningaloo Reef; beach morphology was measured pre- and post-cyclone using RTK-DGPS; and a two-way coupled model was developed using Delft3D and SWAN. </p> <p> </p> <p>The data sets contains the raw pressure sensor measurements (.rsk), beach morphology grids (.txt), and model input/output files. Please see the 'Cuttler_etal_2017_Metadata.pdf', 'ReadMe.txt' file or contact michael.cuttler@uwa.edu.au for further information</p>
Microscopy images and movies supporting the publication: "tRNA tracking for direct measurements of protein synthesis kinetics in live cells"
<p>This repository contains experimental and simulated microscopy movies and images supporting the publication: Volkov et al. (2018) tRNA tracking for direct measurements of protein synthesis kinetics in live cells. <em>Nat Chem Biol, </em>DOI: 10.1038/s41589-018-0063-y</p> <p>A detailed list of files and file organisation can be found in Repository_content.pdf.</p>
Dataset: Direct insertion of NASA Airborne Snow Observatory-derived snow depth time-series into the iSnobal energy balance snow model
<p>This dataset is a companion to the submitted WRR publication entitled ‘Direct insertion of NASA Airborne Snow Observatory-derived snow depth time-series into the iSnobal energy balance snow model’. The file structure is organized as follows:</p> <ul> <li><strong>ASO_50m_depth_surfaces</strong> - This folder contains the Airborne Snow Observatory lidar-derived snow depth products aggregated to 50m gridded spatial resolution. Each file is titled with a date such as ‘TB<em>YYYYMMDD</em>_SUPERsnow_depth.asc’. The coordinates are in UTM zone 11N and use the WGS84 coordinate system.</li> <li><strong>static_grids</strong> <ul> <li>Static grids are used in each of the subsequent folders and are not changed between years.</li> <li>init0000.ipw <ul> <li>Initialization file to begin the model run. Contains the digital elevation model in band 1, surface roughness raster in band 2, and zeroed images of snow properties in bands 3-7.</li> </ul> </li> <li>maxus.nc <ul> <li>netCDF file of 72 separate images of maximum upwind slope for all upwind directions from 0 (north) to 355 degrees in 5-degree increments. Derived using Adam Winstral’s Sx algorithm.</li> </ul> </li> <li>tuolx_dem_50m.ipw <ul> <li>Digital elevation model from ASO snow-free acquisition aggregated to 50m gridded spatial resolution. Same information as band 1 in the init0000.ipw file.</li> </ul> </li> <li>tuolx_hetchy_mask_50m.ipw <ul> <li>Basin mask of the Tuolumne River Basin above Hetch Hetchy Reservoir. Out-of-basin cells denoted as 0, and in-basin cells denoted as 1.</li> </ul> </li> <li>tuolx_vegheight_50m.ipw <ul> <li>Vegetation height raster in meters. Derived from NLCD dataset of vegetation type..</li> </ul> </li> <li>tuolx_vegk_50m.ipw <ul> <li>Emissivity of the vegetation canopy. Derived from NLCD dataset of vegetation type.</li> </ul> </li> <li>tuolx_vegnlcd_50m.ipw <ul> <li>Vegetation type from the National Land Cover Database.</li> </ul> </li> <li>tuolx_vegtau_50m.ipw <ul> <li>Fractional transmissivity of the vegetation canopy. Derived from NLCD dataset of vegetation type.</li> </ul> </li> </ul> </li> <li><strong>level1_raw_data</strong> <ul> <li>{Hourly data interpolated to nearest hour from downloaded raw data (CDEC/MesoWest)}</li> <li>air_temp_level1.csv</li> <li>precip_accum_level1.csv</li> <li>relative_humidity_level1.csv</li> <li>solar_radiation_level1.csv</li> <li>wind_direction_level1.csv</li> <li>wind_speed_level1.csv</li> </ul> </li> </ul> <p>The directories for each water year contain the configuration file for that year along with the vector meteorological data from measurement sites and site metadata in .csv format.</p> <ul> <li><strong>wy2013</strong></li> <li><strong>wy2014</strong></li> <li><strong>wy2015</strong></li> <li><strong>wy2016</strong> <ul> <li> <ul> <li>backup_config.ini {Initialization file used to distribute station data over a regular grid for each water year.}</li> <li>air_temp.csv</li> <li>cloud_factor.csv</li> <li>metadata.csv</li> <li>precip.csv</li> <li>vapor_pressure.csv</li> <li>wind_direction.csv</li> <li>wind_speed.csv</li> <li><strong>data/</strong> <ul> <li>[subdirectory containing all future created forcing grid files]</li> </ul> </li> <li><strong>runs/</strong> <ul> <li>[subdirectory containing all <em>iSnobal</em> output files in addition to reinitialization scripts for ASO snow depth updates]</li> </ul> </li> </ul> </li> </ul> </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.