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161 results for “Tissue Engineering”
Histological Dataset for Microvascular Segmentation of Tissue-Engineered Vascular Grafts
<p><strong>Objectives: </strong>The pursuit of understanding vascular tissue regeneration within tissue-engineered vascular grafts (TEVGs) is of paramount importance due to the critical role these grafts play in replacing damaged or diseased blood vessels. TEVGs offer a promising alternative to traditional grafts, with the potential to integrate into the host's tissue and support the natural regenerative processes. However, challenges such as thrombosis, inflammation, and the need for grafts that can adapt to the dynamic biological environment remain. By studying the regenerative processes in TEVGs, researchers can gain insights into the mechanisms that underpin successful graft integration and function, which is essential for improving patient outcomes in vascular surgeries. This dataset, with its detailed annotations of histological features, provides a valuable resource for developing and refining machine-learning models that can analyze and predict patterns of vascular tissue regeneration. The ability to accurately segment and quantify microvessels and immune cells in regenerated arteries is a significant step forward in distinguishing between physiological and pathological regeneration, ultimately contributing to the design of more effective and reliable TEVGs for clinical use.</p> <p><strong>Ethical Approval: </strong>Experimental strategy of the study is described in detail in <a href="https://www.mdpi.com/2073-4360/14/23/5149" target="_blank" rel="noopener">[1]</a> and <a href="https://www.mdpi.com/1422-0067/24/10/8540" target="_blank" rel="noopener">[2]</a>. The study was conducted according to the guidelines of the Declaration of Helsinki, and was approved by the Local Ethical Committee of the Research Institute for Complex Issues of Cardiovascular Diseases (Kemerovo, Russia, protocol code 2020/06, date of approval: 19 February 2020). Animal experiments were performed in accordance with the European Convention for the Protection of Vertebrate Animals (Strasbourg, 1986) and Directive 2010/63/EU of the European Parliament on the protection of animals used for scientific purposes. For the implantation, we used female Edilbay sheep of 42–45 kg body weight which were received from the Animal Core Facility of the Research Institute for Complex Issues of Cardiovascular Diseases (Kemerovo, Russia) and selected for the surgery by Doppler ultrasonography to identify those having carotid artery diameter of 4.0 ± 0.2 mm.</p> <p><strong>Description: </strong>The dataset comprises a collection of Whole Slide Images (WSIs) obtained from biodegradable TEVGs implanted into the carotid arteries of 20 sheep. A total of 104 WSIs were acquired, each measuring an average size of 135,000 x 123,000 pixels. These WSIs were stained using Hematoxylin and Eosin (H&E), a common practice for highlighting the structure of tissue sections, which facilitates the detailed examination of histological features. These WSIs were automatically sliced into 99,831 patches of 3,000 x 3,000 pixels and subsequently filtered, resulting in 1,401 selected patches for manual annotation.</p> <p><strong>Annotation Method:</strong> Two pathologists independently selected and meticulously annotated the 1401 patches, identifying nine distinct histological features associated with vascular tissue regeneration. These features include <em>arteriole lumen (AL)</em>, <em>arteriole media (AM)</em>, <em>arteriole adventitia (AA)</em>, <em>venule lumen (VL)</em>, <em>venule wall (VW)</em>, <em>capillary lumen (CL)</em>, <em>capillary wall (CW)</em>, <em>immune cells (IC)</em>, and <em>nerve trunks (NT)</em>. The annotations were performed using binary masks, delineating each feature within the patches. Subsequently, a senior pathologist conducted a triple verification process, reviewing and refining the annotations to ensure accuracy and consistency. The annotations are provided in the form of binary masks, meticulously defined for each feature within the patches.</p> <p><strong>Dataset Split:</strong> Given the limited number of subjects studied, comprising 20 sheep, we employed a 5-fold cross-validation technique to split our dataset. This method was chosen because it allows for the efficient use of limited data, ensuring that each observation has the opportunity to be used in both the training and testing sets, thus reducing bias and providing a more accurate estimate of the model's performance. In this approach, each fold involved 16 sheep for training and the remaining 4 for testing (see <em>Table 1</em> and <em>Figure 3</em>). This partitioning scheme was consistently applied to maintain the integrity of subject groups within each subset and to prevent data leakage. The 5-fold cross-validation is particularly beneficial for our study's objectives as it maximizes the training data available for developing robust machine learning models while also ensuring that the models are tested on unseen data, thereby enhancing the generalizability of our findings.</p> <p><strong>Access to the Study:</strong> Further information about this study, including curated source code, dataset details, and trained models, can be accessed through the following repositories:</p> <ul> <li><strong>Source code:</strong> <a href="https://github.com/ViacheslavDanilov/histology_segmentation" target="_blank" rel="noopener">https://github.com/ViacheslavDanilov/histology_segmentation</a></li> <li><strong>Dataset:</strong> <a href="https://doi.org/10.5281/zenodo.10838384" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10838384</a></li> <li><strong>Models:</strong> <a href="https://doi.org/10.5281/zenodo.10838431" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10838431</a></li> </ul> <div> </div> <div><em><strong>Table 1.</strong> Patch and feature distributions across folds and subsets</em> <table> <tbody> <tr> <td> <p><strong>Fold</strong></p> </td> <td> <p><strong>Subset</strong></p> </td> <td> <p><strong>Patches</strong></p> </td> <td> <p><strong>AL</strong></p> </td> <td> <p><strong>AM</strong></p> </td> <td> <p><strong>AA</strong></p> </td> <td> <p><strong>VL</strong></p> </td> <td> <p><strong>VW</strong></p> </td> <td> <p><strong>CL</strong></p> </td> <td> <p><strong>CW</strong></p> </td> <td> <p><strong>IC</strong></p> </td> <td> <p><strong>NT</strong></p> </td> <td> <p><strong>Total </strong></p> </td> </tr> <tr> <td> <p>1</p> </td> <td> <p>Train</p> </td> <td> <p>1168</p> </td> <td> <p>510</p> </td> <td> <p>512</p> </td> <td> <p>220</p> </td> <td> <p>675</p> </td> <td> <p>648</p> </td> <td> <p>770</p> </td> <td> <p>765</p> </td> <td> <p>409</p> </td> <td> <p>448</p> </td> <td> <p>4957</p> </td> </tr> <tr> <td>1</td> <td> <p>Test</p> </td> <td> <p>233</p> </td> <td> <p>81</p> </td> <td> <p>84</p> </td> <td> <p>36</p> </td> <td> <p>186</p> </td> <td> <p>169</p> </td> <td> <p>178</p> </td> <td> <p>182</p> </td> <td> <p>91</p> </td> <td> <p>25</p> </td> <td> <p>1032</p> </td> </tr> <tr> <td> <p>2</p> </td> <td> <p>Train</p> </td> <td> <p>1053</p> </td> <td> <p>406</p> </td> <td> <p>411</p> </td> <td> <p>179</p> </td> <td> <p>678</p> </td> <td> <p>638</p> </td> <td> <p>743</p> </td> <td> <p>746</p> </td> <td> <p>423</p> </td> <td> <p>315</p> </td> <td> <p>4539</p> </td> </tr> <tr> <td>2</td> <td> <p>Test</p> </td> <td> <p>348</p> </td> <td> <p>185</p> </td> <td> <p>185</p> </td> <td> <p>77</p> </td> <td> <p>183</p> </td> <td> <p>179</p> </td> <td> <p>205</p> </td> <td> <p>201</p> </td> <td> <p>77</p> </td> <td> <p>158</p> </td> <td> <p>1450</p> </td> </tr> <tr> <td> <p>3</p> </td> <td> <p>Train</p> </td> <td> <p>1127</p> </td> <td> <p>507</p> </td> <td> <p>511</p> </td> <td> <p>222</p> </td> <td> <p>743</p> </td> <td> <p>702</p> </td> <td> <p>759</p> </td> <td> <p>760</p> </td> <td> <p>299</p> </td> <td> <p>423</p> </td> <td> <p>4926</p> </td> </tr> <tr> <td>3</td> <td> <p>Test</p> </td> <td> <p>274</p> </td> <td> <p>84</p> </td> <td> <p>85</p> </td> <td> <p>34</p> </td> <td> <p>118</p> </td> <td> <p>115</p> </td> <td> <p>189</p> </td> <td> <p>187</p> </td> <td> <p>201</p> </td> <td> <p>50</p> </td> <td> <p>1063</p> </td> </tr> <tr> <td> <p>4</p> </td> <td> <p>Train</p> </td> <td> <p>1064</p> </td> <td> <p>466</p> </td> <td> <p>472</p> </td> <td> <p>199</p> </td> <td> <p>611</p> </td> <td> <p>566</p> </td> <td> <p>759</p> </td> <td> <p>758</p> </td> <td> <p>423</p> </td> <td> <p>291</p> </td> <td> <p>4545</p> </td> </tr> <tr> <td>4</td> <td> <p>Test</p> </td> <td> <p>337</p> </td> <td> <p>125</p> </td> <td> <p>124</p> </td> <td> <p>57</p> </td> <td> <p>250</p> </td> <td> <p>251</p> </td> <td> <p>189</p> </td> <td> <p>189</p> </td> <td> <p>77</p> </td> <td> <p>182</p> </td> <td> <p>1444</p> </td> </tr> <tr> <td> <p>5</p> </td> <td> <p>Train</p> </td> <td> <p>1192</p> </td> <td> <p>475</p> </td> <td> <p>478</p> </td> <td> <p>204</p> </td> <td> <p>737</p> </td> <td> <p>714</p> </td> <td> <p>761</p> </td> <td> <p>759</p> </td> <td> <p>446</p> </td> <td> <p>415</p> </td> <td> <p>4989</p> </td> </tr> <tr> <td>5</td> <td> <p>Test</p> </td> <td> <p>209</p> </td> <td> <p>116</p> </td> <td> <p>118</p> </td> <td> <p>52</p> </td> <td> <p>124</p> </td> <td> <p>103</p> </td> <td> <p>187</p> </td> <td> <p>188</p> </td> <td> <p>54</p> </td> <td> <p>58</p> </td> <td> <p>1000</p> </td> </tr> </tbody> </table> </div> <p> </p>
Quantitative results of the analysis of human bioengineered tissues corresponding to the work "Development of novel squid gladius biomaterials for cornea tissue engineering"
<p>This dataset corresponds to the quantitative data generated in the work entitled "Development of novel squid gladius biomaterials for cornea tissue engineering".</p> <p>Cornea tissue engineering is strictly dependent on the development of biomaterials fulfilling the strict biocompatibility, biomechanical and optical requirements of this organ. In this work, we have generated novel biomaterials from the squid gladius (SG) and their application in cornea tissue engineering was evaluated. Results revealed that the native SG (N-SG) was biocompatible in laboratory animals, although a local inflammatory reaction was driven by the material. Cellularized biomaterials (C-SG) demonstrated that the SG provides an adequate substrate for cell attachment and growth, and corneal epithelial cells cultured on this biomaterial were able to express crystallin alpha, a marker for this type of cells. Biomechanical analyses showed that N-SG biomaterials have higher Young modulus and lower traction deformation than control native corneas (CTR), and C-SG showed similar Young modulus than CTR. Analysis of the optical properties of these samples revealed that the diffuse transmittance of N-SG and C-SG were higher than CTR, with the diffuse reflectance showing the opposite behavior. These results confirm the putative usefulness of this abundant marine-derived biomaterial that can be obtained as a byproduct of the fishing industry.</p>
Protein adsorption on biodegradable mikro/nanofibre materials for tissue engineering
<p><span>Due to their specific properties, nanofibrous materials are increasingly used in regenerative medicine and tissue engineering. Nanofibrous materials can be used as tissue scaffolds for injured (damaged) tissue. The main factor for tissue scaffolds is their biocompatibility. One of the main factors influencing the organism's physiological response is the interaction of the material with proteins. Proteins adsorbed on the material's surface give the tissue scaffolds a "biological identity"</span><span><span>. Cells in the organism subsequently interact with proteins adsorbed on the material's surface and determine the entire organism's response to the implanted material. This work deals with the influence of the morphology and chemical composition of polyester nanofibrous materials on the adsorption of proteins. The materials produced by electrospinning (DC spinning) were characterised from the point of view of morphology and wettability. Then, the adsorption of weakly and strongly bound proteins on the fibre surface was evaluated. Cell adhesion and proliferation on the tested materials were also observed. The results of protein adsorption were compared with the results of cell adhesion and proliferation to determine the effect of the amount of adsorbed proteins on the interaction of cells with the tested materials.</span></span></p>
Experimental Results of "Bioprinting Cell- and Spheroid-Laden Protein-Engineered Hydrogels as Tissue-on-Chip Platforms"
<p>This repository contains the experimental results of the article "Bioprinting Cell- and Spheroid-Laden Protein-Engineered Hydrogels as Tissue-on-Chip Platforms" by Duarte Campos, D., Lindsay, C., Roth, J., LeSavage, B., Seymour, A., Krajina, B., Ribeiro, R., Costa, P., Heilshorn, S., published in <em>Front. bioeng. biotechnol. </em><strong>8, 374</strong> (2020). https://doi.org/10.3389/fbioe.2020.00374</p>
Research data supporting "Pericyte seeded dual peptide scaffold with improved endothelialization for vascular graft tissue engineering"
<p>Raw research data supporting the paper:</p> <p>Campagnolo, P. <em>et al</em>., Pericyte seeded dual peptide scaffold with improved endothelialization for vascular graft tissue engineering, 2016, Advanced Healthcare Materials, 5(23), 3046-3055.</p> <p> </p>
Quantitative results of the analysis of relevant components of artificial bilayered substitutes developed by tissue engineering
<p>This dataset corresponds to the quantification results carried out for artificial bilayered substitutes developed by tissue engineering and control tissues analyzed in the manuscript entitled "<span>Spatiotemporal characterization of extracellular matrix maturation in human artificial stromal-epithelial tissue substitutes</span>". Tissue engineering techniques offer new strategies to understand complex processes in a controlled and reproducible system. In this study, we generated bilayered human tissue substitutes consisting of a cellular connective tissue with a suprajacent epithelium (full-thickness stromal-epithelial substitutes or SESS), and human tissue substitutes with an epithelial layer generated on top of an acellular biomaterial (epithelial substitutes or ESS). Both types of artificial tissues were studied at sequential time periods to analyze the maturation process of the extracellular matrix (ECM) using histochemical and immunohistochemical techniques. Results showed that both models were able to exhibit a partial development of the epithelial layer. ESS cells showed active proliferation, positive expression of KRT5 and low expression of differentiation markers, whereas SESS epithelium showed higher differentiation levels, with a progressive positive expression of KRT10 and claudin, although the differentiation levels of control native tissues were not reached. Despite the typical rete-ridges and papillae of native tissues were not found, stromal cells in SESS tended to accumulate and actively synthetize ECM components such as collagens and proteoglycans in the stromal area in direct contact with the epithelium (Z1 zone), whereas these components were very scarce in ESS. Regarding the basement membrane (BM), ESS showed a partially-differentiated structure containing fibronectin-1 (FN1) and perlecan (HSPG2), although the PAS staining signal was significantly lower than control native tissues. However, SESS showed higher BM differentiation, with positive expression of FN1, HSPG2, nidogen 1 (NID1), chondroitin-6-sulfate proteoglycans (CH6S), agrin (AGRN), and collagens types IV (COL-IV) and VII (COL-VII), although this structure was negative for lumican (LUM). These results confirm the relevance of epithelial-stromal interaction for ECM development and differentiation, especially regarding BM components, and suggest the usefulness of bilayered artificial tissue substitutes to reproduce ex vivo the ECM maturation and development process of human tissues. The original data obtained for the quantitative analyses of each component are shown in this dataset.</p> <p> </p>
Quantitative results of the analysis of human native and bioengineered tissues corresponding to the work "Histological, histochemical and immunohistochemical characterization of NANOULCOR nanostructured fibrin-agarose human cornea substitutes generated by tissue engineering"
<p>Dataset containing the quantitative results of the histochemical and immunohistochemical analysis of the following human tissues:</p> <ul> <li>Control native cornea (CTR-C)</li> <li>Control native limbus (CTR-L)</li> <li>Artificial cornea generated by tissue engineering (HAC)</li> </ul> <p>Each tissue type was subjected to histochemical and immunohistochemical analyses and results were quantified using ImageJ software to determine average intensities and area fractions corresponding to positive staining signal for each marker.</p>
Sebastian+Simmons-High-frequency quantitative ultrasound to assess the acoustic properties of engineered tissues in vitro
<p>This dataset includes raw acquired ultrasound data, processing scripts, and statistical data for acoustic property characterization of cell-free and cell-seeded fibrin hydrogels.</p>
Data for the paper: The Role of Glycerol in Manufacturing Freeze-Dried Chitosan and Cellulose Foams for Mechanically Stable Scaffolds in Skin Tissue Engineering
<p>The Dataset contains all the data, described in the article "<strong>The Role of Glycerol in Manufacturing Freeze-Dried Chitosan </strong><br><strong>and Cellulose Foams for Mechanically Stable Scaffolds in Skin Tissue Engineering</strong>."</p> <p><strong><em>Abstract</em></strong><br>Various strategies have extensively explored enhancing the physical and biological properties of chitosan and cellulose scaffolds for skin tissue engineering. This study presents a straightforward method involving the addition of glycerol into highly porous structures of two polysaccharide complexes: chitosan/carboxymethyl cellulose (Chit/CMC) and chitosan/oxidized cellulose (Chit/OC); during a one-step freeze-drying process. Adding glycerol, especially to Chit/CMC, significantly increased stability, prevented degradation, and improved mechanical strength by nearly 50%. Importantly, after 21 days of incubation in enzymatic medium Chit/CMC scaffold has almost completely decomposed, while foams reinforced with glycerol exhibited only 40% mass loss. It is possible due to differences in multivalent cations and polymer chain contraction, resulting in varied hydrogen bonding <br>and, consequently, distinct physicochemical outcomes. Additionally, the scaffolds with glycerol improved the cellular activities resulting in over 40% higher proliferation of fibroblast after 21 days of incubation. It was achieved by imparting water resistance to the highly absorbent material and aiding in achieving a balance between hydrophilic and hydrophobic properties. This study clearly indicates the possible elimination of additional crosslinkers and multiple fabrication steps that can reduce the cost of scaffold production for skin tissue engineering applications while tailoring mechanical strength and degradation.</p> <p><strong>Figure 2.</strong> Morphology. SEM micrographs of the internal structure of the freeze-dried scaffolds. Results of porosity analysis. The methodology and data are described in the README file in the folder.</p> <p><strong>Figure 3.</strong> Mechanical test results. Representative stress-strain curves from the tensile test of all freeze-dried scaffolds, where (A)<br>– measurement performed in dry conditions, (B) – measurement performed in wet conditions. All are described in the README file in the folder.</p> <p><strong>Figure 4. </strong>Swelling behavior of all scaffolds. B – Two representative vials with a visual demonstration of swelling, samples marked with circles: Chit/CMC sample submerged in the PBS (blue circle) and Chit/CMC/Glyc sample floating on the surface (green circle). The arrows lead to photos of scaffolds taken from vials directly after swelling. C – Gel fraction analysis in aqueous solution after 24 <br>6 h. D – Time after which the water droplet is absorbed into the scaffold. E – Photographs of water droplet shape changes on Chit/CMC and Chit/CMC/Glyc scaffolds over time. All are described in the README file in the folder.</p> <p><strong>Figure 5</strong>. Fourier Transform Infrared Spectroscopy (ATR-FTIR) analysis results. Details are in the README file in the folder.</p> <p><strong>Figure 6.</strong> The FTIR spectra of eluates from degraded scaffolds collected on a microscopic glass slide. Details are in the README file in the folder.</p> <p><strong>Figure 7.</strong> The degradation studies of all scaffolds over 21 days of experiments in A – enzymatic medium. B – cell culture medium. Details are in the README file in the folder.</p> <p><strong>Figure 9. </strong>Cell experiments and toxicity analysis. Cytotoxicity of eluates taken from degraded scaffolds. B – Direct fibroblast seeding on scaffolds during 14 days of culture period. C – Direct fibroblast seeding on scaffolds during 14 days of culture period without control to better see the effect of glycerol. Details are in the README file in the folder.</p>
Research data supporting "Engineering anisotropic muscle tissue using acoustic cell patterning"
<p>Raw research data supporting the publication:</p> <p>Armstron, JPK et al., "Engineering anisotropic muscle tissue using acoustic cell paterning", Advanced Materials, DOI: 10.1002/adma.201802649 (2018)</p>
Injectable, Scalable 3D Tissue-Engineered Model of Marrow Hematopoiesis
<p>Raw data associated with the publication "<strong>Injectable, Scalable 3D Tissue-Engineered Model of Marrow Hematopoiesis"</strong></p> <p><a href="https://www.sciencedirect.com/science/article/pii/S0142961219307641"><strong>DOI: 10.1016/j.biomaterials.2019.119665</strong></a></p>
Research data supporting "Raman spectroscopy reveals new insights into the zonal organization of native and tissue-engineered articular cartilage"
<p>This file contains the raw research data supporting the publication above.</p>
Data for: Pericytes' Circadian Clock Affects Endothelial Cells' Synchronization and Angiogenesis in a 3D Tissue Engineered Scaffold
<p>Raw data set and analysis files for Mastrullo et al., Frontiers in Pharmacology, 2022 <strong>DOI:</strong> 10.3389/fphar.2022.867070 </p>
Dataset for Engineering multifunctional dynamic hydrogel for biomedical and tissue regenerative applications
<p><span>Hydrogels have emerged in various biomedical applications, including tissue engineering and medical devices, due to their ability to imitate the natural extracellular matrix (ECM) of tissues. However, conventional static hydrogels lack the ability to dynamically respond to changes in their surroundings to withstand the robust changes of the biophysical microenvironment and to trigger on-demand functionality such as drug release and mechanical change. In contrast, multifunctional dynamic hydrogels can adapt and respond to external stimuli and have drawn great attention in recent studies. It is realized that the integration of nanomaterials into dynamic hydrogels provides numerous functionalities for a great variety of biomedical applications that cannot be achieved by conventional hydrogels. This review article provides a comprehensive overview of recent advances in designing and fabricating dynamic hydrogels for biomedical applications. We describe different types of dynamic hydrogels based on breakable and reversible covalent bonds as well as noncovalent interactions. These mechanisms are described in detail as a useful reference for designing crosslinking strategies that strongly influence the mechanical properties of the hydrogels. We also discuss the use of dynamic hydrogels and their potential benefits. This review further explores different biomedical applications of dynamic nanocomposite hydrogels, including their use in drug delivery, tissue engineering, bioadhesives, wound healing, cancer treatment, and mechanistic study, as well as multiple-scale biomedical applications. Finally, we discuss the challenges and future perspectives of dynamic hydrogels in the field of biomedical engineering, including the integration of diverse technologies.</span></p>
The sharing of research raw data in journals indexed in the Cell & Tissue Engineering JCR category (2011-2015)
<p>The availability of research data sets is an important milestone since it can enhance the dynamics of research. This study aims to analyze the PubMed Central repository to determine the availability and type of raw data sets in Cell & Tissue Engineering journals indexed in the Journal Citation Reports. The number and types of files were registered. A search of the 21 journals from the Cell & Tissue Engineering category of the 2015 Journal Citation Reports was conducted. Information was collected from October to December 2016. A study of the supplementary material of the original articles published between 2011-2015 was performed through a search in the PubMed Central repository, which is the most used free full-text repository in biomedicine. Only articles with supplementary material were retrieved. The number and types of files were registered. In cases where a compressed file, such as a .zip or .rar file, was found, it was opened to check what kinds of files it contained.</p>
Research data supporting "Buoyancy-Driven Gradients for Biomaterial Fabrication and Tissue Engineering"
<p>Research data supporting the publication:</p> <p>Li C. et al., Advanced Materials, 2019, DOI: 10.1002/adma.201900291</p>
Vascular Damage and Repair - Are Small-diameter Vascular Grafts Still the "Holy Grail" of Tissue Engineering?
Open the record for dataset details and reuse information.
Dataset for article Development of Vancomycin Delivery Systems Based on Autologous 3D Platelet-Rich Fibrin Matrices for Bone Tissue Engineering
<p>This is a dataset related to the article "Development of Vancomycin Delivery Systems Based on Autologous 3D Platelet-Rich Fibrin Matrices for Bone Tissue Engineering". Dubnika, A.; Egle, K.; Skrinda-Melne, M.; Skadins, I.; Rajadas, J.; Salma, I.</p> <p> </p>
Tissue-engineered vocal fold replacement in swine: Methods for functional and structural analysis.
<p>S2 Data. 5534 pig squeal events investigated in this study, provided in a folder structure sorted by pigs, pre- / post-treatment and recording date as .wav files.</p>
Bone Tissue Engineering Using Autologous Bone Repair Cell (BRC) Therapy for Sinus Floor Bone Augmentation
ClinicalTrials.gov study NCT00980278. IPD Sharing: Not stated. Countries: 1. Publications: 12.
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.