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datasets available to search
ShareScore release 0.9.0
Dataset results
67 results for “life sciences”
Dataset: TriSalus Life Sciences, Inc. (TLSI) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: SELLAS Life Sciences Group, Inc. (SLS) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: ENDRA Life Sciences Inc. (NDRA) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Kezar Life Sciences, Inc. (KZR) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Figure 2 in Equity and career-life balance in marine mammal science?
Figure 2. Survey results for the cumulative amount of time spent away from home due to work-related activities (e.g., fieldwork or conferences) in any year for men (green) and women (yellow).
Figure 1 in Equity and career-life balance in marine mammal science?
Figure 1. Percentage of men (green) and women (yellow) survey respondents employed in common types of marine mammal science careers.
Exploiting the potential of neutron imaging measurements for life sciences applications at the neutron spallation source, ISIS, UK - Crabs X-ray CT
<p>A ZIP file containing slices (in TIFF format) from a X-ray CT scan of crabs from the Eocene of Spain. Specimen was scanned on a Nikon Metrology HMX ST 225 system at the Natural History Museum, London, using a 1.0 mm thick copper filter, 225 kV voltage and 180 μA current, giving a tomographic dataset with a voxel size of 46 µm.</p>
Linked collectors and determiners for: Estonian University of Life Sciences Institute of Agricultural and Environmental Sciences Mycological Herbarium.
Natural history specimen data linked to collectors and determiners held within, "Estonian University of Life Sciences Institute of Agricultural and Environmental Sciences Mycological Herbarium". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/1f917113-dd55-4000-9f80-6266fab1af03">https://bionomia.net/dataset/1f917113-dd55-4000-9f80-6266fab1af03</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/1f917113-dd55-4000-9f80-6266fab1af03">https://gbif.org/dataset/1f917113-dd55-4000-9f80-6266fab1af03</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Estonian University of Life Sciences Institute of Agricultural and Environmental Sciences Entomological Collection.
Natural history specimen data linked to collectors and determiners held within, "Estonian University of Life Sciences Institute of Agricultural and Environmental Sciences Entomological Collection". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/1af83152-24f7-4df7-afbc-b213b62175bb">https://bionomia.net/dataset/1af83152-24f7-4df7-afbc-b213b62175bb</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/1af83152-24f7-4df7-afbc-b213b62175bb">https://gbif.org/dataset/1af83152-24f7-4df7-afbc-b213b62175bb</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Estonian University of Life Sciences Institute of Agricultural and Environmental Sciences Department of Plant Protection.
Natural history specimen data linked to collectors and determiners held within, "Estonian University of Life Sciences Institute of Agricultural and Environmental Sciences Department of Plant Protection". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/91afc73f-a11a-4e8b-9313-ed056697cf05">https://bionomia.net/dataset/91afc73f-a11a-4e8b-9313-ed056697cf05</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/91afc73f-a11a-4e8b-9313-ed056697cf05">https://gbif.org/dataset/91afc73f-a11a-4e8b-9313-ed056697cf05</a>. Formatted as a Frictionless Data package.
The impact of the COVID-19 pandemic on scientific research in the life sciences
<p>This repository contains the code to replicate the analysis for the paper: "The impact of the COVID-19 pandemic on scientific research in the fife sciences." Detailed instructions on how to run the code are available in the README.md</p>
Text-fig. 1. Iosif Vasilievich Kiselev in the later years of life. The figure from the archive of the Institute of Geography, National Academy of Sciences of Ukraine. in New Material Of The Puffer Fish Archaeotetraodon Winterbottomi Tyler Et Bannikov, 1994 (Tetraodontidae) From The Oligocene Of The Eastern Paratethys
Text-fig. 1. Iosif Vasilievich Kiselev in the later years of life. The figure from the archive of the Institute of Geography, National Academy of Sciences of Ukraine.
Health-related quality of life and musculoskeletal pain in health sciences university students
<p><strong>Purpose: </strong>To analyse the health-related quality of life and associated variables in health science university students. Secondly, to determine the prevalence of musculoskeletal pain and central sensitisation, and the differences by gender.</p> <p><strong>Methods: </strong>Cross-sectional study among health sciences university students, using anonymous, self-administered questionnaires (SF-12, Nordic Musculoskeletal Questionnaire (NMQ), Numeric Pain Rating Scale (NRS), Central Sensitisation Inventory (SCI)).</p> <p><strong>Results: </strong>Three hundred and thirty eight students were included (76.3% female; age 22.5±4.9 years). The mean SF-12 Physical Component Summary was higher than the mean of 50 in the Spanish adult population as a whole for both female and male students (54.6 vs. 55.9; p=0.02), whereas the mean SF-12 Mental Component Summary was lower than the population mean (36.7 vs. 42.8; p<0.001). These differences persisted when compared with age- and sex-matched population standardized scores.</p> <p>A high prevalence of musculoskeletal pain was observed, particularly in the back area. Pain was generalised, chronic, of moderate intensity, and more frequent in women.</p> <p>Variables associated with worse physical health were being female (B=-1.5; p=0.035), having a disability (B=-4.6; p<0.001), chronic musculoskeletal pain at any site (B=-2.1; p=0.001), and a score ≥40 on the SCI (B=-3.2: p<0.001). The only variable associated with poorer mental health was the SCI score.</p> <p><strong>Conclusion: </strong>Health sciences university students report a significant deterioration in mental health and a high prevalence of musculoskeletal pain, with symptoms of central sensitisation associated with poorer physical and mental health. Women have worse mental health and a higher prevalence, intensity and chronification of musculoskeletal pain.</p>
Digital Humanities Retrieval Evaluation Dataset for Art, Architecture and Life Sciences (DHREAAL)
<p>This dataset, titled "Digital Humanities Retrieval Evaluation Dataset for Art, Architecture, and Life Sciences," emphasizes semantic retrieval, including ground truth data for both content-based and instance-based image retrieval. Utilized to compare various promising approaches and refine the evaluation method, this dataset serves as a precursor to a more extensive dataset. Additional details can be found in the dataset's related publication.</p> <p>Currently, the dataset is still under development. In its next iteration, the dataset will include options for retrieving image syntax and temporal aspects, in addition to the semantics.</p>
Mind Map of The European Bioinformatic infrastructure for the Life Sciences (ELIXIR) activities
<p>This diagram showcases the organisation of the different components of the ELIXIR network, with brief description of the activities therein.</p>
Researchers and Their Experimental Models: A Pilot Survey in the Context of the European Union Health and Life Science Research
<p>A significant debate is ongoing on the effectiveness of animal experimentation, due to the increasing reports of failure in the translation of results from preclinical animal experiments to human patients. Scientific, ethical, social and economic considerations linked to the use of animals raise concerns in a variety of societal contributors (regulators, policy makers, non-governmental organisations, industry, etc.). The aim of this study was to record researchers’ voices about their vision on this science evolution, to reconstruct as truthful as possible an image of the reality of health and life science research, by using a key instrument in the hands of the researcher: the experimental models. Hence, we surveyed European-based health and life sciences researchers, to reconstruct and decipher the varying orientations and opinions of this community over these large transformations. In the interest of advancing the public debate and more accurately guide the policy of research, it is important that policy makers, society, scientists and all stakeholders (1) mature as comprehensive as possible an understanding of the researchers’ perspectives on the selection and establishment of the experimental models, and (2) that researchers publicly share the research community opinions regarding the external factors influencing their professional work. Our results highlighted a general homogeneity of answers from the 117 respondents. However, some discrepancies on specific key issues and topics were registered in the subgroups. These recorded divergent views might prove useful to policy makers and regulators to calibrate their agenda and shape the future of the European health and life science research. Overall, the results of this pilot study highlight the need of a continuous, open and broad discussion between researchers and science policy stakeholders.</p>
Dataset: Problem-centred interviews results for Matching Data Life Cycle and Research Processes in Engineering Sciences
<p>The authors would like to thank the Federal Government and the Heads of Government of the Länder, as well as the Joint Science Conference (GWK), for their funding and support within the framework of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number 442146713.</p>
Data sharing in the life sciences : a study of researchers at the Norwegian University of Life Sciences
<p>Survey data collected in 2012 as basis for master thesis in library and information sciences titled "Data sharing in the life sciences : a study of researchers at the Norwegian University of Life Sciences" </p>
Data and Code for the manuscript PhD students in life sciences can benefit from team cohesion
<p>This folder contains data and code to reproduce regression results of the manuscript "PhD students in life sciences can benefit from team cohesion".</p>
Guided a Research Project titled "Bottle Biospheres: An Innovative Idea to understanding life" which was submitted by Ms. Dakhni Fatima in Pure Sciences. December 12, 2022.
<p>Guided a Research Project titled <strong>“Bottle Biospheres: An Innovative Idea to understanding life” </strong>which was submitted by <strong>Ms. Dakhni Fatima </strong>in <strong>Pure Sciences in Aavishkar. December 12, 2022</strong></p>
ScienceDex guides
Understand access before you commit
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.