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zenodo28/100

Datasets of GEV distribution values of observed surface pressure, rainfall and westward wind speed

<p>These are&nbsp;the generalized extreme value (GEV) distribution results&nbsp;obtained from Figure 3.5B, Figure 3.6B, Figure 3.7B and Figure C.4d in Peirson et al. (2011) and Figure 4, Figure 5, Figure 6 in Peirson et al. (2014). These datasets had&nbsp;been used to evaluate the climate model&nbsp;characterization of extreme storms.&nbsp; The evaluation results have been summarized in a paper which submitted to Journal of Climate: Wenjun Zhu et al., 2023: &quot;An Assessment of Model Projections of Climate-change Induced Extreme Storms on the South-eastern Coast of Australia&quot; (submitted).</p>

opencc-by-4.0Jan 2023View details →
zenodo28/100

*For each species, range of variation, average value and number of specimens examined are given in The woodwasp genus Tremex (Hymenoptera, Siricidae) of Japan

*For each species, range of variation, average value and number of specimens examined are given

opennotspecifiedFeb 2023View details →
zenodo28/100

*For each species, range of variation, average value and number of specimens examined are given in The woodwasp genus Tremex (Hymenoptera, Siricidae) of Japan

*For each species, range of variation, average value and number of specimens examined are given

opennotspecifiedFeb 2023View details →
zenodo28/100

*For each species, range of variation, average value and number of specimens examined are given. in The woodwasp genus Tremex (Hymenoptera, Siricidae) of Japan

*For each species, range of variation, average value and number of specimens examined are given.

opennotspecifiedFeb 2023View details →
zenodo28/100

Supplementary material 1 from: Barton DN (2023) Value 'generalisation' in ecosystem accounting - using Bayesian networks to infer the asset value of regulating services for urban trees in Oslo. One Ecosystem 8: e85021. https://doi.org/10.3897/oneeco.8.e85021

Bayesian Belief Network

opencc-zeroFeb 2023View details →
zenodo28/100

A use-case-driven approach for demonstrating the added value of digitalisation in wind energy - extended version of Table 1

<p>This is the extended version of Table 1 from the paper &quot;A use-case-driven approach for demonstrating the added value of digitalisation in wind energy&quot; published in the&nbsp;Journal of Physics: Conference Series for WindEurope 2023.</p> <p>Digitalisation is one of the key drivers for reducing the costs and risks of wind energy. When considering whether to embark on a digitalisation initiative, two key questions arise. The first is what business or operational opportunities might feasibly be addressed and the second is which of the many potential aspects of digitalisation are relevant to those opportunities. In this work, we show how these questions can be answered with a use-case-driven approach, based around a survey aiming to collect and collate the main &quot;pain points&quot; (or everyday challenges) of people in the wind energy sector. Although the relatively low number of participants of the survey (46) means that the results should only be used indicatively, it is still possible to make some general recommendations for priorities for digitalisation efforts in the wind energy sector. Firstly, digitalisation efforts should focus both on supporting people carrying out cross-lifecycle tasks, in particular sharing data, managing data, undertaking general data analyses and accessing data. Tools to do this should deal with varying data formats and naming conventions, make metadata more accessible, define data and metadata standards, make more data publicly available and improve the quality of data. Secondly, efforts should also focus on supporting people in the wind farm operational phase, in particular with failure detection, fault diagnosis, failure rate modelling and predictive maintenance. Solutions to do this should focus on accessible and validated tools for fault detection, cloud or other data pipeline solutions for SCADA data and tools for exhaustive data documentation. Finally, digitalisation efforts should focus on better communicating and helping people become aware of existing solutions and tools, as well as on helping people to exert a stronger influence on possible solutions.&nbsp;<br> &nbsp;</p>

opencc-by-4.0Mar 2023View details →
zenodo28/100

Correlations between monthly values for fungal CFU and air pollutants.

<p>Correlations between monthly values for fungal CFU and air pollutants.</p>

opencc-by-4.0Mar 2023View details →
zenodo28/100

Behavioral aspects of asset value by industry indices of the Moscow Stock Exchange

<p>Behavioral aspects of asset value by industry indices of the Moscow Stock Exchange</p>

opencc-by-4.0Mar 2023View details →
zenodo28/100

Modeling the nutritional value of thermally processed food products based on CFD simulations - Results of the Miniatura 6 NCN grant

<p>1. Description of the purpose of the scientific activity: The aim of the scientific activity was to optimize the heat treatment process of food products using Computational Fluid Dynamics (CFD) simulations and to assess the impact of this process on the nutritional value of the finished product. The following beef meat was selected for the study: strip beef, shin, entrecote, neck, leg, topside, topside, shoulder and brisket. The obtained results on the selection of heat treatment parameters, i.e. temperature, time, forced convection, allowed for the creation of a knowledge base on the basis of which a multi-factor optimization was carried out between the basic composition (the amount of: protein, fat, water, connective tissue and ash) and the content of conjugated linoleic acid (CLA) and vitamin E in beef. The aim and scope of the research has been achieved.</p> <p>2. Description of the implementation of the scientific activity: Experimental research was carried out at the Department of Food Technology and Design at the Warsaw University of Life Sciences. The raw material for the tests, i.e. beef meat from elements of different basic composition (protein, fat, connective tissue, ash, water): strip beef, rind entrecote, neck, leg, topside, topside, shoulder, brisket was purchased in three batches . The scope of the scientific activity included three stages:</p> <ul> <li>CFD simulation - computer simulation of heat treatment of beef characterized by a diverse basic composition and determination of the reduction of CLA and vitamin E content in various conditions of the thermal process - building a knowledge base,</li> <li>RSM optimization - using the CFD database of changes in the content of CLA and vitamin E, depending on the parameters of the thermal process, for optimization using the response surface method (RSM) - it allowed the selection of the best thermal treatment parameters ensuring the smallest losses of the above-mentioned bioactive ingredients,</li> <li>verification - laboratory tests were carried out using chromatographic techniques of vitamin E (HPLC - high-performance liquid chromatography) and CLA (GC - gas chromatography) content to confirm the predicted RSM results based on CFD simulation. Information on the mechanism of shaping the content of CLA and vitamin E in heat-treated beef allowed for the creation of a database that makes it possible to determine the optimal conditions for heat treatment of food products. The research was experimental, and the obtained results provided information on the mechanism of thermal decomposition depending on the parameters of the heat treatment process and the basic composition of food products. The scientific activity was used to develop a mechanism describing the relationship between the basic composition, method and parameters of heat treatment and the thermal stability of CLA and vitamin E in beef.</li> </ul> <p>3. Description of the effects of the implementation of the scientific activity:</p> <p>The study showed a significant effect of the basic composition of beef on changes in the content of vitamin E and CLA during heat treatment. The use of an innovative method of modeling and simulation of thermal processes with the use of CFD allowed for a precise analysis of changes in the content of the above-mentioned substances. components in meat samples of different basic composition. The analyzes carried out showed that the content of: protein, fat, tk. total, ash, water in individual elements of the beef carcass, i.e. strip beef, rib eye shank, neck, round, topside, topside, shoulder, brisket affects the temperature distribution in the entire volume of the raw material, which results in partial decomposition of vitamin E and CLA. Based on the developed experimental model, optimization was performed using the response surface method (RSM), thanks to which the best parameters of the heat treatment process using a convection steam oven were obtained. The optimization was carried out individually for each element differing in basic composition, and among the optimized process parameters were: processing temperature [℃], humidity inside the furnace chamber [%], process time [s] and fan speed ensuring forced convection of air and steam [RPM ]. The last, third stage of the research task was the verification of the optimization model with the results of laboratory analyses. The tests carried out using gas chromatography (GC) and high-performance liquid chromatography (HPLC) allowed to obtain the results of vitamin E and CLA content at a level consistent with those predicted on the basis of RSM models.</p>

opencc-zeroJul 2023View details →
zenodo28/100

Supplementary material 1 from: Gugele SM, Baer J, Spießl C, Yohannes E, Blumenshine S, Roberts BJ, Mota-Ferreira MR, Brinker A (2023) Stable isotope values and trophic analysis of invasive three-spined stickleback in Upper Lake Constance points to significant piscivory. NeoBiota 87: 73-102. https://doi.org/10.3897/neobiota.87.100355

Supplementary information

opencc-zeroAug 2023View details →
zenodo28/100

Appendix The benchmark values are used in numerical experiments.

<p>Appendix The benchmark values are used in numerical experiments.</p>

opencc-by-4.0Aug 2023View details →
zenodo28/100

X-band 3D Radar Cross Section Values for Desert Locusts

<p>Radar Cross Section values simulated using WiPL-D Pro Electromagnetic Solver at X-band (9.4GHz) frequency.&nbsp;</p> <p>Naming convention:</p> <p>[species_name]_[internal_material]_[geometry]_[body_length]_[body_width]_[along_body_RCS_x1000]_[across_body_RCS_x1000]_[model_mass_x1000]_[resolution].</p> <p>Internal material: water or BBG (AKA NelsonLGB). Geometry refers to model dimension. Body length, and width are in millimetres. RCS values are in cm<sup>2</sup>. Model mass is grams. Resolution refers to the number of plates used in WiPL-d Pro to create the model.</p>

opencc-by-4.0Aug 2023View details →
zenodo28/100

FIGURE 4. The estimated delta K and mean lnL values for each K in Taxonomic reassessment of salamanders (genus Hynobius) from Tsushima Islands Japan, with a resurrection of Hynobius tagoi Dunn, 1923 (Amphibia: Caudata)

FIGURE 4. The estimated delta K and mean lnL values for each K.

opennotspecifiedAug 2023View details →
zenodo28/100

The predicted values of HiSIF-DTA on the Davis, KIBA, and Human test sets

<p>We propose a novel DTA prediction method (<strong>HiSIF-DTA</strong>) that enables hierarchical fusion of protein semantic information to enrich protein representations and enhance DTA prediction performance. Simultaneously, we have designed two different backbones for semantic information fusion: <strong><em>Top-Down</em></strong> (TDNet) and <strong><em>Bottom-Up</em></strong> (BUNet). To validate the superiority of the model, we have trained and tested it on DTA datasets (davis and kiba) as well as the CPI dataset (Human). These files contain the predicted values of all models used in HiSIF-DTA on the test sets of these three datasets.</p> <p><strong>**Please note that these predicted values are specific to the models in HiSIF-DTA and the respective test datasets mentioned. **</strong></p>

opencc-by-4.0Sep 2023View details →
zenodo28/100

Pre-calculated SHAP Values for Drug Synergy Model

<p>Pre-calculated SHAP Values used to evaluate feature importance in the drug synergy model.</p>

opencc-by-4.0Oct 2023View details →
zenodo28/100

Koreografeye : An Event-Driven Orchestrator for Scholarly Value Chains

Open the record for dataset details and reuse information.

opencc-by-sa-4.0Oct 2023View details →
zenodo28/100

"POWER CULTURE" TO THE MIND OF THE YOUTH THE ROLE OF NATIONAL VALUES IN THE STRUGGLE AGAINST THE INFLUENCE OF .

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2023View details →
ClinicalTrials.gov28/100

Value of 3D Modeling in Spine Surgery

ClinicalTrials.gov study NCT02771899. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Multiple Breath Washout (MBW) Using Sulfur Hexafluoride Reference Values and Influence of Anthropometric Parameters

ClinicalTrials.gov study NCT04099225. IPD Sharing: NO. Countries: 0. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov28/100

Prognostic Value of Peak Lactate During Cardiopulmonary Bypass in Adult Cardiac Surgeries

ClinicalTrials.gov study NCT03934892. IPD Sharing: UNDECIDED. Countries: 0. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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Your academic CV and NIH biosketch

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