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14 results for “multidisciplinary data”
The HAInich: A multidisciplinary vision data-set for a better understanding of the forest ecosystem
<p>We present a multidisciplinary forest ecosystem 3D perception dataset. The dataset was collected in the Hainich-Dün region in central Germany, which includes two dedicated areas, which are part of the Biodiversity Exploratories - a long term research platform for comparative and experimental biodiversity and ecosystem research. The dataset combines several disciplines, including computer science and robotics, biology, bio-geochemistry, and forestry science. We present results for common 3D perception tasks, including classification, depth estimation, localization, and path planning. We combine the full suite of modern perception sensors, including high-resolution fisheye cameras, 3D dense LiDAR, differential GPS, and an inertial measurement unit, with ecological metadata of the area, including stand age, diameter, exact 3D position, and species. The dataset consists of three hand held measurement series taken from sensors mounted on a UAV during each of three seasons: winter, spring, and early summer. This enables new research opportunities and paves the way for testing forest environment 3D perception tasks and mission set automation. We do not focus on even more accurate and better forest data collection, our focus is automated forest inventory for robots.</p>
The HAInich: A multidisciplinary vision data-set for a better understanding of the forest ecosystem
<p>We present a multidisciplinary forest ecosystem 3D perception dataset. The dataset was collected in the Hainich-Dün region in central Germany, which includes two dedicated areas, which are part of the Biodiversity Exploratories – a long-term research platform for comparative and experimental biodiversity and ecosystem research. The dataset combines several disciplines, including computer science and robotics, biology, bio-geochemistry, and forestry science. We present results for common 3D perception tasks, including classification, depth estimation, localization, and path planning. We combine the full suite of modern perception sensors, including high-resolution fisheye cameras, 3D dense LiDAR, differential GPS, and an inertial measurement unit, with ecological metadata of the area, including stand age, diameter, exact 3D position, and species. The dataset consists of three hand-held measurement series taken from sensors mounted on a UAV during each of three seasons: winter, spring, and early summer. This enables new research opportunities for the forest ecosystem and paves the way for testing forest environment 3D perception tasks and mission set automation.</p>
The HAInich: A multidisciplinary vision data-set for a better understanding of the forest ecosystem
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Arctic Tectonics and Volcanism: a multi-scale, multidisciplinary educational approach (Petrel and GPlates data package)
<p>The dataset includes pre-loaded and integrated data sets used in teaching the AGx51 course on Arctic Tectonics and Volcanism at the University Centre in Svalbard. </p><p>The dataset includes:</p><ul><li>a Petrel 2020 project with pre-loaded cultural, map, subsurface and borehole data from Svalbard</li><li>a GPlates project with relevant circum-Arctic datasets, exercises and plate tectonic models</li></ul><p>The data package is related to a manuscript currently in review for Geoscience Communication. </p>
Supporting data of the Short communication: A multidisciplinary perspective on the role of plastic pollution in the triple planetary crisis - Paper under Review
<p>In our short communication, we discuss the role of plastics and associated chemicals in the triple planetary crisis of climate change, biodiversity loss, and environmental pollution from a multidisciplinary perspective. We utilize quantitative citation metrics (such as the number of papers, the number of reviews, and the fraction of reviews) to map the maturity of the research landscape for nano- and microplastics concerning their life cycle, release, fate, exposure, hazard, governance, and regulation. Based on the outcomes, we identify key research needs for a comprehensive hazard assessment of plastics and associated chemicals.</p> <p>This study was performed by an interest group at the Helmholtz Centre for Environmental Research - UFZ in Leipzig, Germany. We acknowledge financial support from the Helmholtz POF IV Topic 9 “Healthy Planet- towards a non-toxic environment” and Topic 5 “Landscapes of the future – preserving biological diversity, water resources, and ecosystems”. K.W.-P. and A.J. are part of the P-LEACH consortium that receives funding from the Helmholtz Association, Innovation Pool Funding of the Research Field Earth and Environment (https://www.ufz.de/p-leach) in support of the Research Program “Changing Earth – Sustaining our Future”. D.K. was partly funded by the European Union’s Horizon 2020 Research and Innovation programme, under Grant Agreement number 965367 (PlasticsFatE). K.S. is grateful for funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation - project number 530364326).</p> <p></p>
Data from: Influence of abiotic and biotic factors on benthic marine community composition, structure and stability: a multidisciplinary approach to molluscan assemblages from the Miocene of northern Germany
<p><span>The Miocene mica-clay deposits of Groß Pampau (northern Germany) are well known for their diverse assemblages of marine mammals, particularly whales. Despite numerous systematic and biostratigraphic studies, an in-depth palaeoecological analysis of its diverse molluscan assemblages and a comprehensive palaeoenvironmental reconstruction are lacking. Here, we integrated new faunal, sedimentological, and geochemical data to reconstruct the marine palaeo-ecosystem of the late Miocene sedimentary succession of Groß Pampau, and to identify the drivers controlling the composition, ecological structure and temporal dynamics of its macrobenthic molluscan assemblages. Fossil evidence, coupled with analyses of clay mineral composition, grain size distribution, and geochemical data (total organic carbon, total nitrogen, δ<sup>13</sup>C, δ<sup>18</sup>O, δ<sup>15</sup>N of sediment and shells), suggest a warm-temperate, mesotrophic, low-energy, offshore marine setting mostly below storm wave base and a pronounced surface-to-bottom water temperature gradient. Low variability in sedimentological and geochemical signals indicates generally stable physico-chemical conditions, whereas occurrences of opportunistic species (<em>Varicorbula</em> <em>gibba</em>) point at </span><span>occasionally less favourable bottom conditions, possibly related to transient hypoxia</span><span>. Canonical correspondence analysis reveals that the distribution of molluscan assemblages correlates with total organic carbon and nitrogen content, suggesting organic matter availability at the seafloor as a controlling factor. A pattern of repetitive punctuated stasis of molluscan assemblages is defined by the temporal persistence in taxonomic and ecological composition, occasionally interrupted by shifts to a different faunal configuration. We suggest that both stable environmental conditions and biotic interactions, i.e. the top-down control exerted by carnivorous gastropods and environmental modification by ubiquitous burrowing deposit feeders, probably contributed to the observed temporal stability. Whereas comparison with Miocene molluscan assemblages of Gram, Denmark, revealed differences in the presence and relative abundance of genera, functional congruence indicates that offshore benthic ecosystems of the southern North Sea Basin functioned similarly.</span></p>
Data from: Influence of abiotic and biotic factors on benthic marine community composition, structure and stability: a multidisciplinary approach to molluscan assemblages from the Miocene of northern Germany
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Data from: Blood pressure decreases after revascularization in atherosclerotic renal artery disease: a cohort study based on a multidisciplinary meeting
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Correlation between the availability of supplementary material and raw research data in journals of the Agriculture Multidisciplinary area of WoS
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Data from: Effects of a multidisciplinary approach to improve volume of diagnostic material in CT-guided lung biopsies
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Data from: Cost-minimization model of a multidisciplinary antibiotic stewardship team based on a successful implementation on a urology ward of an academic hospital
Background: In order to stimulate appropriate antimicrobial use and thereby lower the chances of resistance development, an Antibiotic Stewardship Team (A-Team) has been implemented at the University Medical Center Groningen, the Netherlands. Focus of the A-Team was a pro-active day 2 case-audit, which was financially evaluated here to calculate the return on investment from a hospital perspective. Methods: Effects were evaluated by comparing audited patients with a historic cohort with the same diagnosis-related groups. Based upon this evaluation a cost-minimization model was created that can be used to predict the financial effects of a day 2 case-audit. Sensitivity analyses were performed to deal with uncertainties. Finally, the model was used to financially evaluate the A-Team. Results: One whole year including 114 patients was evaluated. Implementation costs were calculated to be €17,732, which represent total costs spent to implement this A-Team. For this specific patient group admitted to a urology ward and consulted on day 2 by the A-Team, the model estimated total savings of €60,306 after one year for this single department, leading to a return on investment of 5.9. Conclusions: The implemented multi-disciplinary A-Team performing a day 2 case-audit in the hospital had a positive return on investment caused by a reduced length of stay due to a more appropriate antibiotic therapy. Based on the extensive data analysis, a model of this intervention could be constructed. This model could be used by other institutions, using their own data to estimate the effects of a day 2 case-audit in their hospital.
Retrospective Study on Data Aiming to Establish a Prediction Score for Return Home at the Time of Admission to a Multidisciplinary Medical Department (SCORDOM
ClinicalTrials.gov study NCT06288295. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Cost-minimization model of a multidisciplinary antibiotic stewardship team based on a successful implementation on a urology ward of an academic hospital
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Multidisciplinary Design to Optimize Schizophrenia Treatment Based on Multi-omics Data and Systems Biology Analysis
ClinicalTrials.gov study NCT06060886. IPD Sharing: NO. Countries: 0. Publications: 0.
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
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DANDI Archive for NWB datasets
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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.