Find research datasets worth reusing

opencc-by-4.0Dec 2018View details →

Рис. 6. Сроки нереста приморского гребешка (1), роста и раЗвития его личи- нок в планктоне от начала нереста до раЗмеров 150 мкм (2) и от 150 мкм до 250–275 мкм (3). in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 6. Сроки нереста приморского гребешка (1), роста и раЗвития его личи- нок в планктоне от начала нереста до раЗмеров 150 мкм (2) и от 150 мкм до 250–275 мкм (3).

opencc-by-4.0Dec 2018View details →

Рис. 1. Среднемесячная температура воды в б. Новгородская на поверхно- сти: 1 – За период 1931–1973 гг.; 2 – За 1977 г.; 3 – За 1978 г.; 4 – За 1979 г.; 5 – За 1980 г.; 6 – За 1981 г.; 7 – температура нереста (18ºС). in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 1. Среднемесячная температура воды в б. Новгородская на поверхно- сти: 1 – За период 1931–1973 гг.; 2 – За 1977 г.; 3 – За 1978 г.; 4 – За 1979 г.; 5 – За 1980 г.; 6 – За 1981 г.; 7 – температура нереста (18ºС).

opencc-by-4.0Dec 2018View details →

Рис. 2. График вЗаимосвяЗи меЖду суммой средних месячных температур воды марта и апреля и датами начала нереста. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 2. График вЗаимосвяЗи меЖду суммой средних месячных температур воды марта и апреля и датами начала нереста.

High-Speed Video Recordings of Wheel-Rail Traction Enhancement Using a Full-Scale Testing Platform - Sander Position & Angle Aimed at Nip & Wheel

A database of 5 high-speed video recordings of rail-sanding process using a full-scale testing platform is provided in this data note. The videos are recorded for various case studies, namely different positioning of the sander nozzle aiming at the rail, nip, and wheel with various angles, and different materials used as rail-sand. The particle velocities can be extracted from these high-speed videos using particle image velocimetry software. The spread angle of the particles as they flow out of the nozzle can also be measured with the use of image processing software. The data extracted from these high-speed recording can be utilised for calibration, validation, and verification of experimental and numerical set-ups, as well as for training artificial intelligence models.

High-Speed Video Recordings of Wheel-Rail Traction Enhancement Using a Full-Scale Testing Platform - Sander Position & Angle Aimed at Rail

A database of 4 high-speed video recordings of rail-sanding process using a full-scale testing platform is provided in this data note. The videos are recorded for various case studies, namely different positioning of the sander nozzle aiming at the rail, nip, and wheel with various angles, and different materials used as rail-sand. The particle velocities can be extracted from these high-speed videos using particle image velocimetry software. The spread angle of the particles as they flow out of the nozzle can also be measured with the use of image processing software. The data extracted from these high-speed recording can be utilised for calibration, validation, and verification of experimental and numerical set-ups, as well as for training artificial intelligence models.

Spontaneous biases enhance generalisation in the neonate brain

data paper "Spontaneous biases enhance generalisation in the neonate brain" by Shuge Wang, Vera Vasas, Laura Freeland, Daniel C. Osorio, Versace

opencc-zeroMay 2024View details →

dryad40/100

Data from: Insect hypovirulence-associated mycovirus confers entomopathogenic fungi with enhanced resistance against phytopathogens

Mycoviruses can alter the biological characteristics of host fungi including decreasing or enhancing virulence or pathogenicity of phytopathogens and entomopathogenic fungi (EPF). As an extensively used EPF, Beauveria bassiana could not only directly control pests, but also improve plant resistance against plant disease through endophytic colonization. However, most studies on the mycoviruses found in B. bassiana have focused on the effects of the viruses on the virulence of host fungi toward insect pests, with relatively few reports on the effects to the host fungi with regard to plant disease resistance in hosts. The present study investigated the effects of the mycovirus Beauveria bassiana chrysovirus 2 (BbCV2) virus infection on host biological characteristics, additionally, we evaluated antagonistic activity of BbCV2 against phytopathogenic fungi (Sclerotinia sclerotiorum and Botrytis cinerea) in vitro and their associated diseases both in in vitro leaves and in pot experiments. Our results showed that the mycovirus, BbCV2, enhanced the growth rate, spore production, and biomass of host fungi B. bassiana. BbCV2 virus infection enhanced the capacity of host fungi and their metabolic products to inhibit phytopathogenic fungi S. sclerotiorum and B. cinerea. BbCV2 virus infection reduced the contents of the two pathogens in tomato plants significantly, and in turn enhanced the plant resistance induced by host fungi colonization against the diseases caused by the two pathogens.

The CWR richness dataset of manuscript "ENHANCING IN SITU CONSERVATION OF CROP WILD RELATIVES FOR FOOD AND AGRICULTURE IN LITHUANIA"

The CWR National Inventory database has been created by combining data from the Database of EU Habitat Mapping in Lithuania (BIGIS), the Herbarium Database of the Nature Research Centre (BILAS), the Lithuanian Vegetation Database (EU-LT-001), and the Global Biodiversity Information Facility (GBIF). It was used to calculate CWR richness in 4 by 4 kilometres grid cell. The dataset contains three GIS files (.shp) - Boundaries of Lithuania, CWR richness in grid cells and 45 potential genetic reserve sites.

opencc-by-4.0Jul 2023View details →

Enhanced atlases and flatmaps of rodent neocortex

Flatmaps of mouse isocortex and barrel column annotations in CCFv3 space (10 µm resolution) <ul> <li>annotation_barrels.nrrd: Pre-generated annotations of barrel columns divided into layers, can be transplanted directly into the CCFv3 atlas.</li> <li>barrel_positions.feather: 3D coordinates of segmented barrel voxels used to create annotations.</li> <li>central-streamlines.feather: Central streamlines used to calculate barrel cortex metrics.</li> <li>depth.nrrd: Streamline-derived absolute cortical depth in µm.</li> <li>flatmap_authalic_shaped_256.nrrd: Discretized flatmap for use in flatmap comparison notebook (256x256 pixel resolution, shape-match border). </li> <li>flatmap_authalic_square_256.nrrd: Discretized flatmap for use in flatmap comparison notebook (256x256 pixel resolution, square border).</li> <li>flatmap_both_shaped.nrrd: Flatmap of mouse isocortex in both hemispheres (shape-match border).</li> <li>flatmap_both_square.nrrd: Flatmap of mouse isocortex in both hemispheres (square border).</li> <li>flatmap_shaped.nrrd: Flatmap of mouse isocortex in a single hemisphere (shape-match border).</li> <li>flatmap_square.nrrd: Flatmap of mouse isocortex in a single hemisphere (square border).</li> <li>hexgrid.nrrd: Decomposition of mouse isocortex into 1307 hexagonal columns of roughly equal size.</li> <li>hierarchy.json: Region hierarchy in AIBS format extended with barrel annotations.</li> <li>isocortex.nrrd: Annotations of mouse isocortex regions in a single hemisphere (1-based, consecutive) for plotting in ITK-SNAP.</li> <li>isocortex.label: Accompanying label file for plotting isocortex.nrrd in ITK-SNAP.</li> <li>thickness.nrrd: Streamline-derived cortical thickness in µm.</li> <li>flatmap_input/Makefile: Pipeline to derive inputs for the flatmapping algorithm from CCFv3 datasets.</li> <li>flatmap_input/border_points.txt: Border points for the shape-match flatmap, a convex approximation to the shape of the CCFv3 flatmap.</li> <li>flatmap_input/config_shaped.mk: Configuration file for the flatmapping algorithm (shape-match border).</li> <li>flatmap_input/config_square.mk: Configuration file for the flatmapping algorithm (square border).</li> </ul>   Enhanced atlas and flatmap of P14 rat somatosensory cortex <ul> <li>brain_regions.nrrd: Annotated regions in rat somatosensory cortex, divided into layers.</li> <li>flatmap.nrrd: Flatmap of rat somatosensory cortex in a single hemisphere (square border).</li> <li>hexgrid.nrrd: Decomposition of rat somatosensory cortex into 263 hexagonal columns of roughly equal size.</li> <li>hierarchy.json: Region hierarchy in AIBS format.</li> <li>orientation.nrrd: Local orientation towards pia, stored as a quaternion.</li> <li>relative_depth.nrrd: Relative cortical depth in the range [0,1].</li> <li>sscx.nrrd: Annotations of rat somatosensory cortex regions in a single hemisphere (1-based, consecutive) for plotting in ITK-SNAP.</li> <li>sscx.label: Accompanying label file for plotting sscx.nrrd in ITK-SNAP.</li> <li>thickness.nrrd: Cortical thickness in µm.</li> <li>flatmap_input/config.mk: Configuration file for the flatmapping algorithm.</li> <li>flatmap_input/annotations.nrrd: Annotations of rat somatosensory cortex regions (0-based, consecutive).</li> <li>flatmap_input/mask.nrrd: Labeling of source volume into interior, exterior, top/bottom/sides boundaries.</li> <li>flatmap_input/orientation_{x,y,z}.nrrd: Components of the orientation vector, as input to the flatmapping algorithm.</li> <li>flatmap_input/relative_depth.nrrd: Relative depth field, as input to the flatmapping algorithm.</li> </ul>   Code to generate flatmaps and barrel cortex annotations can be found in a <a href="https://github.com/BlueBrain/atlas-enhancement" target="_blank" rel="noopener">software repository</a> under a free software license.

Dataset 2 for UV Plasmon-Enhanced Chiroptical Spectroscopy of Membrane-Binding Proteins, June 2024

Scanning electron microscopy images of Al nanostructures

opencc-by-4.0Apr 2024View details →

Dataset of "Social Robots and Sensors for Enhanced Ageing at Home: A Focus on Mobility and Socioeconomic Factors."

This dataset supports the article: "Social Robots and Sensors for Enhanced Aging at Home: A Focus on Mobility and Socioeconomic Factors." For further details see the Readme.txt file.

dryad40/100

Code from: Enhancing data-limited assessments with random effects: A case study on Korea chub mackerel (Scomber japonicus)

<div> <div> <div> In a state-space framework, temporal variations in fishery-dependent processes can be modeled as random effects. This modeling flexibility makes state-space models (SSMs) powerful tools for data-limited assessments. Though SSMs enable the model-based inference of the unobserved processes, their flexibility can lead to overfitting and non-identifiability issues. To address these challenges, we developed a suite of state-space length-based age-structured models and applied them to the Korean chub mackerel (Scomber japonicus) stock. Our research demonstrated that incorporating temporal variations in fishery-dependent processes can rectify model mis-specification but may compromise robustness, which can be diagnosed through a series of model checking processes. To tackle non-identifiability, we used a non- degenerate estimator, implementing a gamma distribution as a penalty for the standard deviation parameters of observation errors. This penalty function enabled the simultaneous estimation of both process and observation error variances with minimal bias, a notably challenging task in SSMs. These results highlight the importance of model checking and the effectiveness of the penalized approach in estimating SSMs. Additionally, we discussed novel assessment outcomes for the mackerel stock. </div> </div> </div>

opencc-zeroJun 2024View details →

opencc-by-4.0Jun 2024View details →

Data underlying the paper titled "Integrating multimodal Raman and photoluminescence microscopy with enhanced insights through multivariate analysis"

The folder includes Raman and Photoluminescence surface maps of microsamples from Cultural Heritage materials. The maps were obtained using a multimodal optical microscope that integrates Raman and Photoluminescence optical techniques to perform a raster scanning of microsample surface.  Data refer to the publication: https://doi.org/10.1088/2515-7647/ad5773

Figure 1 in Glufosinate enhances the activity of protoporphyrinogen oxidase inhibitors

Figure 1. Glufosinate reshapes the levels of amino acids in Amaranthus palmeri. Levels of glutamine, glutamate, proline, and arginine in untreated (gray) and glufosinate-treated (blue) plants at 24 h after treatment (A). Levels of glutamate over time in untreated (gray) and glufosinate-treated (blue) plants (B). Asterisks (*) indicate means are significantly different by t-test (P <0.05) between untreated and glufosinate-treated within each amino acid or time point. Error bars represent the standard deviations of the means.

Figure 5 in Glufosinate enhances the activity of protoporphyrinogen oxidase inhibitors

Figure 5. Glufosinate enhances the activity of protoporphyrinogen oxidase (PPO) inhibitors in the field. Performance of glufosinate and PPO-inhibiting herbicides applied individually or in tank mix on Bassia scoparia. Gluf, glufosinate; flumi, flumioxazin; saflu, saflufenacil; pyraflu, pyraflufen; lact, lactofen; fome, fomesafen. Means followed by the same letter do not differ according to Tukey's test (P <0.05). Error bars represent the standard deviations of the means.

Figure 4 in Glufosinate enhances the activity of protoporphyrinogen oxidase inhibitors

Figure 4. Glufosinate + saflufenacil is toxic to glufosinate-resistant soybean due to a transient accumulation of glutamate and subsequent protoporphyrin accumulation. Visual injury (A) and protoporphyrin accumulation (B) in glufosinate-susceptible (red) and glufosinate-resistant (blue) soybean following glufosinate and saflufenacil treatments. Glufosinate (C) and glutamate (D) levels in glufosinate-susceptible (gray) and glufosinate-resistant (blue) soybean following glufosinate (280 g ha−1) treatment. Asterisks (*) indicate means are significantly different by t-test (P <0.05) between soybean varieties or time point. Error bars represent the standard deviations of the means. HAT, hours after treatment.

Figure 2 in Glufosinate enhances the activity of protoporphyrinogen oxidase inhibitors

Figure 2. Enhanced herbicidal activity with glufosinate and saflufenacil. Dose response for glufosinate (A) and saflufenacil (B) in Amaranthus palmeri. Isobole analysis for the combination between the two herbicides in different proportions (C). The graph shows the proportion of each herbicide to achieve 50% reduction in dry biomass (ED50). If no synergism had been observed for the two compounds, data points were expected to fall into the red dashed line (additive effect).The concave shape of the isobole curve indicates high levels of synergism between the two herbicides. Error bars represent the standard deviations of the means.

Figure 7 in Glufosinate enhances the activity of protoporphyrinogen oxidase inhibitors

Figure 7. Visual observation and the physiological basis of the synergistic effect between glufosinate and protoporphyrinogen oxidase (PPO) inhibitors on Amaranthus palmeri. Glutamate is the precursor for the biosynthesis of glutamine,arginine,proline,and chlorophyll.Inhibition of glutamine synthetase (GS) diverges the fate of glutamate into proline/arginine and chlorophyll biosynthetic pathways. Inhibition of both GS and PPO leads to increased protoporphyrin accumulation and subsequent formation of reactive oxygen species (ROS).

Figure 6 in Glufosinate enhances the activity of protoporphyrinogen oxidase inhibitors

Figure 6. Saflufenacil (Saflu) at 1 g ha−1 can overcome the lack of efficacy by glufosinate (Gluf) at 280 g ha−1 on Amaranthus palmeri under low temperature and humidity. Visual injury provided with glufosinate + saflufenacil compared with the two herbicides applied individually at high (A) and low (B) temperature and humidity.Means with the same letter do not differ according to Tukey's test (P <0.05). Error bars represent the standard deviations of the means.