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Future Blood Testing Network+ Overview and Recap - Dr Weizi (Vicky) Li
<p>This video is the first talk from our Future of Healthcare: Remote Blood Testing, Monitoring & AI Meeting that took place on 07-08/11/2023. </p><p>Future Blood Testing Network+ Overview and Recap - Dr Weizi (Vicky) Li (Henley Business School, University of Reading). </p><p>Bio: Weizi (Vicky) Li is a Professor of Informatics and Digital Health, Deputy Director in Informatics Research Centre, Henley Business School, University of Reading. She is a Fellow of Charted Institute of IT (British Computer Society). She is an interdisciplinary researcher focusing on using informatics, data science, machine learning, and digital information systems to solve real-world healthcare challenges. She is currently the Principal Investigator and Director of EPSRC Future Blood Testing for Inclusive Monitoring and Personalised Analytics NetworkPlus; and EPSRC AI for Health project: Advancing machine learning to achieve real-world early detection and personalised disease outcome prediction of inflammatory arthritis. She is the academic lead of a large collaborative project of Improving the Quality of Healthcare through an Integrated Clinical Pathway Management Approach and Cloud-based Digital Data Integration Platform, which was awarded ESRC O2RB Excellence in Impact Award in 2018 and 4*/3* impact case study in REF 2021 for her research impact on healthcare quality improvement. She is the academic lead of a machine learning-based decision support system for outpatient management which has successfully been implemented in Royal Berkshire NHS Foundation Trust and has received the Research Engagement and Impact award in 2020, shortlisted for 2022 impact award and Health Service Journal (HSJ) patient safety award. </p><p>Further details on this event can be found at: https://www.futurebloodtesting.org/fbtn2023 </p><p>This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1</p><p>YouTube Link: https://youtu.be/Fqqekmhg79Q?si=l74rXxTFMx42mEsV</p>
The DR-Train dataset: dynamic responses, GPS positions and environmental conditions of two light rail vehicles in Pittsburgh
<p><strong>Note: Downloading the large data file could have a timeout issue. If you cannot directly download it here, please use the following link as a complementary method for getting the data. </strong></p> <p><a href="https://drive.google.com/drive/folders/1oKn7IN7zznQuhwjDCDdjq8r9wHJYBEhj?usp=sharing">https://drive.google.com/drive/folders/1oKn7IN7zznQuhwjDCDdjq8r9wHJYBEhj?usp=sharing</a></p> <p> </p> <p>This dataset contains the dynamic responses (acceleration records) of two passenger trains with corresponding GPS positions, environmental conditions and track maintenance schedules for a light rail network in the city of Pittsburgh, Pennsylvania in the United States of America.</p> <p>In particular, two light rail vehicles were instrumented (identified as LRV4306 and LRV4313): <br> LRV 4306 has 5 acceleration channels, corresponding to the two uni-axial accelerometers inside the train and the three channels of the tri-axial accelerometer on the wheel truck.</p> <p><em>- The last digit of each acceleration file: 1, 2, 3, 4, 5<br> - Corresponding sensor channels: tri-axial x, tri-axial y, tri-axial z, front cabinet uni-axial, back cabinet uni-axial</em></p> <p><br> LRV 4313 has 8 acceleration channels, corresponding to the two uni-axial accelerometer and the two tri-axial accelerometers inside the train.</p> <p><em>- The last digit of each acceleration file: 1, 2, 3, 4, 5, 6, 7, 8<br> - Corresponding sensor channels: front cabinet uni-axial, back cabinet uni-axial, front tri-axial x, front tri-axial y, front tri-axial z, back tri-axial x, back tri-axial y, back tri-axial z.<br> - x longitudinal (vehicle moving direction); y-axis, transverse; z-axis, vertical.</em></p> <p>The dataset contained in this repository is a condensed version of the original raw data. While the accelerometers on the train were sampled continuously, this dataset contains only those measurements for when the train was actually moving along the track (i.e. not idling at a terminal).</p> <p>The data is stored in binary MAT-files (a MATLAB/Octave data format). These files contain MATLAB objects of the class "pass", which is defined in the file pass.m that can be found in the "code" folder. Specifically, two MAT-files named "obj_dic.mat", and found in the "LRV4306" and "LRV4313" folders, contain the "pass" objects of the two trains, respectively.</p> <p>Each category is described in detail. For more detail on the regions of the track, refer to the 'region.fig' file in this folder. The track was divided into distinct regions so that the data over specific sections of track could be compared. These regions were chosen for two reasons: <br> (1) within a region, the train always followed the same track and <br> (2) there are no tunnels in them so the GPS data is relatively consistent. </p> <p>To get started, using MATLAB or Octave try running "main_script.m" in the "code" folder.</p> <p>A data descriptor paper with details of the data collection process was published.</p> <p>Please cite as</p> <p><strong>Liu, J., Chen, S., Lederman, G., Kramer, D. B., Noh, H. Y., Bielak, J., Garrett, J. H., Kovačević, J., & Berges, M. Dynamic responses, GPS positions and environmental conditions of two light rail vehicles in Pittsburgh. Scientific Data, 6, 146. <a href="https://doi.org/10.1038/s41597-019-0148-9">https://doi.org/10.1038/s41597-019-0148-9</a>(2019)</strong></p> <p><strong>Liu, J., Chen, S., Lederman, G., Kramer, D. B., Noh, H. Y., Bielak, J., Garrett, J. H., Kovačević, J., & Berges, M. The DR-Train dataset: dynamic responses, GPS positions and environmental conditions of two light rail vehicles in Pittsburgh. Zenodo, <a href="https://doi.org/10.5281/zenodo.1432702">https://doi.org/10.5281/zenodo.1432702</a>(2018).</strong></p> <p>For questions or suggestions please e-mail Jingxiao Liu <liujx@stanford.edu></p>
Data for Publication - Synergies and Trade-offs between Robusta Yield, Carbon Stocks and Biodiversity across Coffee Systems in the DR Congo
<p>Data used for the publication:</p> <p>"Synergies and Trade-offs between Robusta Yield, Carbon Stocks and Biodiversity across Coffee Systems in the DR Congo" - Ieben Broeckhoven, Jonas Depecker, Trésor Kasereka Muliwambene, Olivier Honnay, Roel Merckx and Bruno Verbist</p>
Dr. Duke's Phytochemicals and Ethnobotanical Codes
<p><strong>Abstract:</strong></p> <p>These Phytochemical and Ethnobotanical databases offer convenient search functionalities for plants, chemicals, bioactivity, and ethnobotany. They cover a wide range of plants and their chemical profiles, allowing users to browse and search in various user-oriented ways. This is a resource that caters to pharmaceutical, biomedical, and nutritional researchers, looking to improve the treatment of diseases in a natural way. The data originates from extensive compilations by a former Chief of USDA's Economic Botany Laboratory, specifically their Handbook of phytochemical constituents of GRAS herbs and other economic plants. Users can download a PDF or spreadsheet format containing chemical lists and their known activities. </p> <p><strong>Instruction: </strong></p> <p>Data was cleaned and duplicates were removed.</p> <p><strong>Inspiration:</strong></p> <p>The dataset was uploaded to UBRITE for "DGR_DEPOT” summer 2023 team project. </p> <p><strong>Acknowledgements:</strong></p> <p>Duke, J. A. (1992). Database of Biologically Active Phytochemicals and Their Activity. Boca Raton, Fla: CRC Press. ISBN 9780849336713. 183 pp. [Available on diskette with manual. https://www.crcpress.com/Database-of-Biologically-Active-Phytochemicals-... ]</p> <p><strong>U-BRITE Last Updated July 5, 2023</strong></p>
Dr. Duke's Phytochemicals and Ethnobotanical Ethnobot
<p><strong>Abstract:</strong></p> <p>These Phytochemical and Ethnobotanical databases offer convenient search functionalities for plants, chemicals, bioactivity, and ethnobotany. They cover a wide range of plants and their chemical profiles, allowing users to browse and search in various user-oriented ways. This is a resource that caters to pharmaceutical, biomedical, and nutritional researchers, looking to improve the treatment of diseases in a natural way. The data originates from extensive compilations by a former Chief of USDA's Economic Botany Laboratory, specifically their Handbook of phytochemical constituents of GRAS herbs and other economic plants. Users can download a PDF or spreadsheet format containing chemical lists and their known activities. </p> <p><strong>Instruction: </strong></p> <p>Data was cleaned and duplicates were removed.</p> <p><strong>Inspiration:</strong></p> <p>The dataset was uploaded to UBRITE for "DGR_DEPOT” summer 2023 team project. </p> <p><strong>Acknowledgements:</strong></p> <p>Duke, J. A. (1992). Database of Biologically Active Phytochemicals and Their Activity. Boca Raton, Fla: CRC Press. ISBN 9780849336713. 183 pp. [Available on diskette with manual. https://www.crcpress.com/Database-of-Biologically-Active-Phytochemicals-... ]</p> <p><strong>U-BRITE Last Updated July 5, 2023</strong></p>
Dr. Duke's Phytochemicals and Ethnobotanical Common Names
<p><strong>Abstract:</strong></p> <p>These Phytochemical and Ethnobotanical databases offer convenient search functionalities for plants, chemicals, bioactivity, and ethnobotany. They cover a wide range of plants and their chemical profiles, allowing users to browse and search in various user-oriented ways. This is a resource that caters to pharmaceutical, biomedical, and nutritional researchers, looking to improve the treatment of diseases in a natural way. The data originates from extensive compilations by a former Chief of USDA's Economic Botany Laboratory, specifically their Handbook of phytochemical constituents of GRAS herbs and other economic plants. Users can download a PDF or spreadsheet format containing chemical lists and their known activities. </p> <p><strong>Instruction: </strong></p> <p>Data was cleaned and duplicates were removed.</p> <p><strong>Inspiration:</strong></p> <p>The dataset was uploaded to UBRITE for "DGR_DEPOT” summer 2023 team project. </p> <p><strong>Acknowledgements:</strong></p> <p>Duke, J. A. (1992). Database of Biologically Active Phytochemicals and Their Activity. Boca Raton, Fla: CRC Press. ISBN 9780849336713. 183 pp. [Available on diskette with manual. https://www.crcpress.com/Database-of-Biologically-Active-Phytochemicals-... ]</p> <p><strong>U-BRITE Last Updated July 5, 2023</strong></p>
Fig. 3 in New and interesting Surirella taxa (Surirellaceae, Bacillariophyta) from the Congo Basin (DR Congo)
Fig. 3. Surirella ebalensis sp. nov., type material from sample CCA 2070, Lomami River, DR Congo, SEM. External view. A–B. Detail of the girdle showing a part of a girdle with ligula (arrow) and the neighbouring interrupted band. C. Detail of the valve mantle with the draped silica spines (arrow) and the silica plaques (arrow) near the edge of the mantle and the valvocopula. D. Detail of the girdle band near the pole. Scale bars = 2 µm.
Fig. 1 in New and interesting Surirella taxa (Surirellaceae, Bacillariophyta) from the Congo Basin (DR Congo)
Fig. 1. Surirella ebalensis sp. nov., from the holotype slide BR 4398, Lomami River, DR Congo, LM (DIC). A–C. Valve representing the holotype, different foci of the same valve. D–E. Different foci of the same valve. F. Girdle view. Scale bar = 10 µm.
Fig. 9 in New and interesting Surirella taxa (Surirellaceae, Bacillariophyta) from the Congo Basin (DR Congo)
Fig. 9. Surirella congolensis sp. nov., type material from sample CCA 2071, Lomami River, DR Congo, SEM. Internal view. A–B. Head pole showing the continuous raphe (arrow). C–D. Foot pole showing the interruption of the raphe and the straight slightly expanded terminal raphe endings. E–F. Detail of the alar canals. Scale bars: B–C = 2 µm; A, D = 1 µm.
Fig. 8 in New and interesting Surirella taxa (Surirellaceae, Bacillariophyta) from the Congo Basin (DR Congo)
Fig. 8. Surirella congolensis sp. nov., type material from sample CCA 2071, Lomami River, DR Congo, SEM. External view. A. Overview. B–C. Detail of foot pole showing the straight not expanded raphe endings (arrow). D. Detail of the apical pole showing the slightly curved raphe endings (arrow). E–F. Detail of the biseriate striae and the open fenestrae with the fenestral bars. Scale bars: A–B = 2 µm; C–F = 1 µm.
Fig. 2 in New and interesting Surirella taxa (Surirellaceae, Bacillariophyta) from the Congo Basin (DR Congo)
Fig. 2. Surirella ebalensis sp. nov., type material from sample CCA 2070, Lomami River, DR Congo, SEM. External view. B, C, F = detail of the raphe keel with blunt spines orientated towards the valve face and which are draped over a large part of the indented mantle side. A. Overview. B–C. Detail of the valve ornamented with silica granules and blunt spines. D. Detail of the apical pole, showing the curved raphe endings. E–F. Detail of the foot pole showing the straight raphe endings. F. Short spherical shaped silica elements near the pole (arrow). Scale bars: A = 10 µm; B = 4 µm; C, F = 2 µm; D–E = 1 µm.
Fig. 4 in New and interesting Surirella taxa (Surirellaceae, Bacillariophyta) from the Congo Basin (DR Congo)
Fig. 4. Surirella ebalensis sp. nov., type material from sample CCA 2070, Lomami River, DR Congo, SEM. External view. Details of the various types of spines on the valve face and the keel. A–B. Detail of the valve surface with the biseriate striae (arrow) becoming sometimes uniseriate near the axial area. C–D. Section of the valve face showing the simple perforation of the silica wall at the areolae. Scale bars: A–B = 2 µm; C–D = 1 µm.
Fig. 5 in New and interesting Surirella taxa (Surirellaceae, Bacillariophyta) from the Congo Basin (DR Congo)
Fig. 5. Surirella ebalensis sp. nov., type material from sample CCA 2070, Lomami River, DR Congo, SEM. Internal view. A. Detail of the multiseriate striae, and the perforation of the elongated granules without rimmed margin (arrow). B, D. Detail of the continuous raphe near the apical pole with a reduced helictoglossa (arrow). C. Detail of the straight not expanded raphe endings at the foot pole and their reduced helictoglossae (arrows). Scale bars: B = 2 µm; A, C–D = 1 µm.
Figs 2‒4. 2 in Seventy years of Dr. Jan Ježek
Figs 2‒4. 2 ‒ Jan Ježek presenting his interesting results at the 19th Czech and Slovak Dipterist Seminar in Dubová pri Modre (Slovakia) in 2007. Photograph E. Stloukal; 3 ‒ Jan Ježek working on Tabanidae collection in his former office in Kunratice castle, year 2011. Photograph M. Tkoč; 4 ‒ Participants of the the very first (1969) and jubilee 20th (2009) Czech and Slovak Dipterist Seminar held in Cikháj, Czech Republic. From left: Václav Skuhravý, Marcela Skuhravá, František Gregor, Jaroslav Starý, Jan Ježek and Rudolf Rozkošný.
Fig. 1 in Seventy years of Dr. Jan Ježek
Fig. 1. Jan Ježek in his famous tropical pith helmet collecting ectoparasitic insects during one of the Iranian entomological expeditions in 1970s.
The Editors-in-Chief of SOIL ORGANISMS: Prof. Dr. Willi Xylander (Görlitz) and Prof. Dr. Nico Eisenhauer (Leipzig). in SOIL ORGANISMS - an international open access journal on the taxonomic and functional biodiversity in the soil
The Editors-in-Chief of SOIL ORGANISMS: Prof. Dr. Willi Xylander (Görlitz) and Prof. Dr. Nico Eisenhauer (Leipzig).
Genetic diversity of wild and cultivated Coffea canephora in northeastern DR Congo and the implications for conservation - Additional Data
<p>List of wild and cultivated <em>Coffea canephora </em>accessions from northeastern Democratic Republic of the Congo included in Vanden Abeele et al. 2021 - American Journal of Botany, and the corresponding alleles for each of the 18 microsatellite markers (0 indicates missing alleles).</p>
Introduction to the Future Blood Testing Network Plus - Dr Weizi (Vicky) Li (Henley Business School, University of Reading)
<p>This video is the first talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021.</p> <p>Network Introduction - Dr Weizi (Vicky) Li (Henley Business School, University of Reading).</p> <p>Bio: Dr Weizi (Vicky) Li is the PI of the Future Blood Testing Network, an Associate Professor of Informatics and Digital Health, Deputy Director in Informatics Research Centre, Henley Business School, University of Reading. She is an interdisciplinary researcher focusing on using informatics, data science, machine learning, and digital information systems to solve real-world healthcare challenges. She is the academic lead of a large collaborative project of Improving the Quality of Healthcare through an Integrated Clinical Pathway Management Approach and Cloud based Digital Data Integration Platform, which was awarded ESRC O2RB Excellence in Impact Award in 2018 for her research impact on healthcare quality improvement. She is the academic lead of machine learning based decision support system for outpatient management which has successfully been implemented in Royal Berkshire NHS Foundation Trust and has received Research Engagement and Impact award in 2020. She has been PI on projects funded by ESRC, EPSRC, The Health Foundation, NHS and companies, working on data-driven decision support systems that use real-world data (under privacy preserving framework) from multiple sources including Electronic Patient Record in acute, community hospital and primary care settings, remote health monitoring and patient reported outcomes to develop novel technologies (including AI based methods) to support clinical and operational decision makings in patient pathway.</p> <p>Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ </p> <p>This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1</p> <p>YouTube Link: https://youtu.be/YuBsU3NDdB0</p>
"Tiny Test Tubes" for affordable microfluidic blood measurements at the point of need - Dr Alexander Edwards (University of Reading)
<p>This video is the tenth talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 14/09/2022.</p> <p>"Tiny Test Tubes" for affordable microfluidic blood measurements at the point of need - Dr Alexander Edwards (University of Reading)</p> <p>Bio: Al Edwards has a background in fundamental immunology combined with expertise in biochemical engineering, he is an interdisciplinary researcher focussed on solving current and future healthcare challenges using an engineering science approach that combines a range of fields from biology, biochemistry, chemistry and physics. He works at the interface between academic technology discovery and industrial development and have experience of both fundamental research and the commercialisation of new technology. The two main challenges he currently works on are the development of affordable microfluidics for clinical diagnostics and microbiology, and the engineering science of complex biologic therapeutics such as vaccines. Alexander's research is funded from a wide range of sources, including NIHR , EPSRC, SBRI Healthcare, the Wellcome Trust, Innovate UK and industry</p> <p>Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/</p> <p>This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1</p> <p>YouTube Link: https://youtu.be/21a78Vql8b0</p>
Unmet Clinical Needs and Case Studies in Blood Testing - Prof Bryant Lin and Dr. Kevin Chang (Stanford University)
<p>This video is the seventh talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022.</p> <p>Unmet Clinical Needs and Case Studies in Blood Testing - Prof Bryant Lin and Dr. Kevin Chang (Stanford University)</p> <p>Bio: Bryant Lin, MD, MEng is a primary care physician, educator and researcher. The cornerstone of Dr. Lin's work is keeping medicine focused on humans - patients, providers, families and trainees - and not lost in technology and algorithms. His research and educational interests span (1) Developing and testing novel medical technologies, (2) Improving the health of Asian populations with Precision and Population Health, and (3) Increasing expression and interconnections in the Health Community with the Humanities and Arts. After receiving his undergraduate and master's degrees in Electrical Engineering and Computer Science from MIT, he completed his MD and internal Medicine training at Tufts University School of Medicine and Tufts Medical Center. He came to Stanford to serve as a Research Fellow in Cardiac Electrophysiology and Biodesign Fellow where he learned to identify unmet human-centered needs. Since completing his post-graduate training, he stayed at Stanford as clinical faculty in Primary Care and Population Health in the Department of Medicine where he has invented and researched new medical technologies addressing unmet human-centered needs and started the Consultative Medicine Clinic evaluating patients with medical mysteries. He serves as the Training Director for the Joe and Linda Chlapaty DECIDE Center which has created a novel shared decision making tool for atrial fibrillation anticoagulation and is an investigator in several active clinical trials. Three years ago, he co-founded and currently co-directs, with Dr. Latha Palaniappan, the Center for Asian Health Research and Education (CARE) which aims to improve the health of Asians everywhere. Most recently, he has worked closely with the Medicine and the Muse leadership to help start the Stuck@Home concert series, the Stanford SoundWalk and the COVID Remembrance project. Dr. Lin has an active interest in storytelling and film-making. He co-directs an undergraduate seminar, MED 53Q “Storytelling in Medicine”, with Dr. Lauren Edwards and is working with a group of students on a documentary on end-of-life care at a JapaneseAmerican Senior Home in the Bay Area.</p> <p>Kevin Chang MD, MS, is a primary care physician. His focus in on patient care, population health and quality improvement, and medical education. He received his undergraduate degree and master's degree in biomedical engineering from Duke University and Stanford University respectively, and completed his MD at New York University, followed by his medical training at Stanford University. He has since stayed on at Stanford as clinical faculty in Primary Care and Population Health in the Department of Medicine, where he also serves as the co-director of the resident physician Internal Medicine clinic.</p> <p>Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/</p> <p>This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1</p> <p>YouTube Link: https://youtu.be/ozk1iJYC1yk</p>
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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.