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1,891 results for “Field data”
Supporting data for 'Modelling of planar germanium hole qubits in electric and magnetic fields' v2
<p>The data must not be reused in other studies or publications without approval of the authors.</p>
Associated modeling data & materials for manuscript: Observing the evolution of the Sun's global coronal magnetic field over eight months
<p>This archive contains the magnetohydrodynamic (MHD) modeling materials associated with the manuscript:</p> <p>"<em>Observing the evolution of the Sun’s global coronal magnetic field over eight months</em>"</p> <p>by Zihao Yang, Hui Tian, Steven Tomczyk, Xianyu Liu, Sarah Gibson,<br>Richard Morton, and Cooper Downs</p> <p>Science, 386(6717), 76-82, <strong>2024</strong>, DOI: <a title="Observing the evolution of the Sun&rsquo;s global coronal magnetic field over eight months" href="http://doi.org/10.1126/science.ado2993" target="_blank" rel="noopener">10.1126/science.ado2993</a></p> <p>This archive is intended for transparency and reproduceability purposes. It contains the MHD model source code, run inputs, run outputs, and example python scripts for working with the model data.</p> <p># Contents<br>The subfolders are organized as follows:</p> <p>### source<br>This folder contains the the high-performance MHD code "Magnetohydrodynamic Algorithm outside a Sphere" (MAS) and associated files. MAS is written in Fortran. The dependencies are very straightforward. See `README_MAS.txt` and the associated Makefile for compilation instructions.</p> <p>### runs<br>This folder contains the three MHD model runs that are described in the manuscript. See `README_Runs.txt` for more information on the inputs and outputs. Each folder contains all files required for recreating the run.</p> <p>### scripts<br>This folder contains some example python scripts that illustrate how to read the model data files. This includes an example that will convert the raw 3D data to physical units and place all variables on a common, non-staggered mesh. See `README_Scripts.txt` for more information.</p> <p># Additional Notes<br>MAS is developed and maintained by Predictive Science Inc. (PSI) in San Diego California.</p> <p>The version of MAS in the source folder is not the most recent version. It is the exact version of MAS from the main branch that was used for MHDweb CORHEL runs circa 2022 when similar runs were first posted to PSI's website. For this reason, we used this exact version of MAS for the runs described in the manuscript. As such, MAS is licensed here using the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license. Please see the LICENSE file or visit https://creativecommons.org/licenses/by-nc-nd/4.0/ for details. </p> <p>We are currently working on a project that includes a public, open source release of MAS on GitHub, which will be licensed appropriately. This archive is not intended for that purpose.</p> <p>If you have questions, concerns, or issues installing or running this code for reproduceability purposes, please contact Cooper Downs <cdowns@predsci.com>.</p>
Example far-field Ptychography Data from ESRF/ID16A for the PtyPy Tutorials : the Siemens Star
<p>Experimental ptychography data collected at the beamlines ID16A at the ESRF. The purpose of this data deposit is to provide relevant experimental ptychography data for a comprehensive collection of tutorials for the PtyPy software framework.</p>
Ultra-low-power Edge Detection Based on Ferroelectric Field Effect Transistor (data and code)
Open the record for dataset details and reuse information.
Data from study on Self-compassion in the Field of Addiction
<p><strong><span>Abstract</span></strong></p> <p><strong><span>Objective</span></strong><span>: This study investigates the role of self-compassion in individuals with substance use disorders, focusing on its associations with emotion regulation difficulties, depression, anxiety, stress, and thought suppression.</span></p> <p><strong><span>Method</span></strong><span>: The study included 150 participants, aged 30-71 years, of Greek ethnicity enrolled in a rehabilitation program at the Organization Against Drugs (OKANA). Participants completed four self-report measures: the Self-Compassion Scale, the Difficulties in Emotion Regulation Scale, the Depression, Anxiety, and Stress Scale and the White Bear Suppression Inventory. Data were collected between October 2023 and January 2024.</span></p> <p><strong><span>Results</span></strong><span>: Self-compassion was negatively correlated with difficulties in emotion regulation (r = −.552, p < .05), depression, anxiety, and stress (r = −.530, p < .05), and thought suppression (r = −.428, p < .05). Stepwise regression analysis revealed that self-compassion significantly predicted lower levels of psychological distress (</span><span>β</span><span> = −.230, p < .001) and mediated the relationship between difficulties in emotion regulation and psychological distress. The final model explained 45.2% of the variance in depression, anxiety, and stress (95% CI [0.35, 0.55]). Bootstrap analysis (1,000 samples) confirmed the robustness of these results.</span></p> <p><strong><span>Conclusions</span></strong><span>: The findings suggest that self-compassion may serve as a protective factor in managing psychological distress among individuals with substance use disorders. Incorporating self-compassion-focused interventions into addiction recovery programs may enhance emotional resilience and reduce the use of maladaptive coping strategies.</span></p>
Field measurement data of hydrodynamic and morphological processes in the mangrove forest of Lac Bay, Bonaire, Caribbean Netherlands
<p>31-10-2024, Rik Gijsman</p> <p>_________________________________________________________<br>Dataset of field measurement of hydrodynamic and morphological processes in the mangrove forest of Lac Bay, Bonaire, Caribbean Netherlands.</p> <p>_________________________________________________________<br>For more information please see scientific publication:</p> <p>Gijsman, R., Engel, S., van der Wal, D., van Zee, R., Johnson, J., van der Geest, M., Wijnberg, K.M. and Horstman, E.M. (2024). <strong>The Importance of Tidal Creeks for Mangrove Survival on Small Oceanic Islands</strong>. <em>Unpublished Manuscript</em>.</p> <p>_________________________________________________________</p> <p>Dataset contains: </p> <ol> <li>Timeseries data from field instruments: <br> <ol> <li>Atmospheric pressure</li> <li>Water depth</li> <li>Water level</li> <li>Flow velocity</li> <li>Waves</li> <li>Turbidity</li> <li>Rainfall</li> <li>Temperature</li> <li>Wind</li> <li>Tidal creek flows</li> <li>Tidal creek transport</li> <li>Lagoon suspension</li> </ol> </li> <li>Mapped data of field surveys: <ol> <li>Bathymetry and creek profiles</li> <li>Sediment characteristics</li> </ol> </li> <li>Python script for importing and plotting data</li> <li>Overview map with shapefiles of instrument location coordinates</li> </ol> <p>________________________________________<br>Additional notes for your information:</p> <ul> <li>Timeseries data stored in .txt files</li> <li>Visualization of data in .txt files provided with accompanying .png files</li> <li>Timeseries data of Hobo sensors, Rain gauge and KNMI station interpolated between 19-01-2022 00:00:00 and 18-05-2022 23:55:00 (120 days) on 5 minute intervals </li> <li>Timeseries data of other sensors interpolated between 19-01-2022 00:00:00 and 08-03-2022 23:55:00 (49 days) on 5 minute intervals</li> <li>Column headers show instrument station abbreviation</li> <li>Datetime in local timezone of Bonaire (GMT-4)</li> <li>When a property (e.g., water depth) was measured by different instruments, the instrument used is mentioned in the file name, e.g. "water_depth_hobo.txt"</li> <li>Measurements from KNMI (The Royal Netherlands Meteorological Institute) station 990 were included in the dataset and indicated with '_knmi' in the file name. Data obtained from 'https://www.knmi.nl/nederland-nu/klimatologie/uurgegevens_Caribisch_gebied' </li> </ul> <p> </p>
Data from: Nonnative old-field species inhabit early-season phenological niches and exhibit unique sensitivity to climate
<p>Native and nonnative plant species can exhibit differences in the timing of their reproductive phenology as well as their phenological sensitivity to climate. These contrasts may influence species' interactions and the invasion potential of nonnative species; however, a limited number of phenology studies expressly consider phenological mismatches among native and nonnative species over broad spatial or temporal scales. To fill this knowledge gap, we used two complementary approaches: first, we quantified the flowering phenology of native and nonnative plants at five old-field sites across a spatially extensive range of eastern North America. Second, we used herbarium records to compare the sensitivity of flowering and fruiting phenology to climate across a 114-year time period in a subset of common old field species in southwestern Pennsylvania. Across the study region, nonnatives reproduced substantially earlier in the growing season than natives, suggesting that nonnatives occupy a unique phenological niche (0.55 months earlier flowering across the North American study sites; 50.1 days earlier flowering and 17.5 days earlier fruiting in southwestern Pennsylvania). Both natives and nonnatives advanced their reproductive phenology between 1900 to 2014 but exhibited contrasting phenological sensitivity to climate factors. During the flowering stage of phenology, nonnatives were more sensitive to changes in precipitation than natives and generally delayed flowering in wetter years. Nonnative plants had greater sensitivity and advanced fruiting when the month preceding fruiting was warmer while native plants had greater sensitivity and advanced fruiting when the three-month period preceding fruiting was warmer. Our findings suggest that nonnative old-field species occupy an earlier phenological niche relative to native species, which may facilitate their invasion into old-field communities. However, given the different sensitivities of native and nonnative plants to climate factors, present-day patterns of phenology are likely to shift with future climate changes, potentially leading to novel species interactions that may influence the outcomes of invasion.</p>
Data from: Field performance of Bt eggplants (Solanum melongena L.) in the Philippines: Cry1Ac expression and control of the eggplant fruit and shoot borer (Leucinodes orbonalis Guenée)
Plants expressing Cry proteins from the bacterium, Bacillus thuringiensis (Bt), have become a major tactic for controlling insect pests in maize and cotton globally. However, there are few Bt vegetable crops. Eggplant (Solanum melongena) is a popular vegetable grown throughout Asia that is heavily treated with insecticides to control the eggplant fruit and shoot borer, Leucinodes orbonalis (EFSB). Herein we provide the first publicly available data on field performance in Asia of eggplant engineered to produce the Cry1Ac protein. Replicated field trials with five Bt eggplant open-pollinated (OP) lines from transformation event EE-1 and their non-Bt comparators were conducted over three cropping seasons in the Philippines from 2010–2012. Field trials documented levels of Cry1Ac protein expressed in plants and evaluated their efficacy against the primary target pest, EFSB. Cry1Ac concentrations ranged from 0.75–24.7 ppm dry weight with the highest in the terminal leaves (or shoots) and the lowest in the roots. Cry1Ac levels significantly increased from the vegetative to the reproductive stage. Bt eggplant lines demonstrated excellent control of EFSB. Pairwise analysis of means detected highly significant differences between Bt eggplant lines and their non-Bt comparators for all field efficacy parameters tested. Bt eggplant lines demonstrated high levels of control of EFSB shoot damage (98.6–100%) and fruit damage (98.1–99.7%) and reduced EFSB larval infestation (95.8–99.3%) under the most severe pest pressure during trial 2. Moths that emerged from larvae collected from Bt plants in the field and reared in their Bt eggplant hosts did not produce viable eggs or offspring. These results demonstrate that Bt eggplant lines containing Cry1Ac event EE-1 provide outstanding control of EFSB and can dramatically reduce the need for conventional insecticides.
Data from: Development of a PCR-RFLP assay to identify Drosophila melanogaster among field-collected larvae
The fruit fly Drosophila melanogaster is a model organism to study several aspects of metazoan biology. Most of the work has been conducted in adult fruit flies, including laboratory and field-derived specimens, but Drosophila melanogaster larvae recently became a valuable model to better understand animal physiology, development or host-microbe interactions. While adult flies can be easily assigned to a given Drosophila species based on morphological characteristics, such visual identification is more intricate at the larval stage. This could explain the limited number of studies focusing on larvae, especially field-derived samples. Here, we developed a Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP) assay that discriminates D. melanogaster from other ecologically relevant Drosophila species at the larval stage. The method, which targets the cytochrome oxidase I (COI) gene, was validated using laboratory-derived larvae from seven D. melanogaster populations originating from different geographic areas as well as six Drosophila species. We further validated this PCR-RFLP assay in a natural context, by identifying wild larvae collected in two locations in France. Notably, among all PCR-RFLP profiles that matched the D. melanogaster species, 100% were correctly identified, as confirmed by COI sequencing. In summary, our work provides a rapid, simple and accurate molecular tool to identify D. melanogaster from field-collected larvae.
Data from: Seeing is believing? comparing plant-herbivore networks constructed by field co-occurrence and DNA barcoding methods for gaining insights into network structures
Plant-herbivore interaction networks provide information about community organization. Two methods are currently used to document pairwise interactions among plants and insect herbivores. One is the traditional method that collects plant-herbivore interaction data by field observation of insect occurrence on host plants. The other is the increasing application of newly developed molecular techniques based on DNA barcodes to the analysis of gut contents. The second method is more appealing because it documents realized interactions. To construct complete networks, each technique of network construction is urgent to be assessed. We addressed this question by comparing the effectiveness and reliability of the two methods in constructing plant-Lepidoptera larval network in a 50 ha subtropical forest in China. Our results showed that the accuracy of diet identification by observation method increased with the number of observed insect occurrences on food plants. In contrast, the molecular method using three plant DNA markers were able to identify food residues for 35.6% larvae and correctly resolved 77.3% plant (diet) species. Network analysis showed molecular networks had three-fold more unique host plant species but fewer links than the traditional networks had. The molecular method detected plants that were not sampled by the traditional method, e.g., bamboos, bryophytes and lianas in the diets of insect herbivores. The two networks also possessed significantly different structural properties. Our study indicates the traditional observation of co-occurrence is inadequate, while molecular method can provide higher species resolution of ecological interactions.
Data from: Coffee berry borer (Hypothenemus hampei) (Coleoptera: Curculionidae) development across an elevational gradient on Hawai'i Island: applying laboratory degree-day predictions to natural field populations
Coffee berry borer (CBB, Hypothenemus hampei) (Coleoptera: Curculionidae: Scolytinae) is the most destructive pest of coffee worldwide. Information on CBB development times can be used to predict the initiation of new infestation cycles early in the coffee-growing season and thus inform the timing of insecticide applications. While laboratory estimates of CBB development under constant conditions exist, they have not been applied under the heterogeneous environmental conditions that characterize many coffee-growing regions. We measured CBB development times and abundance in commercial coffee farms across an elevational gradient on Hawai'i Island and applied thermal accumulation models from previous laboratory studies to test their fit to field data. Artificial lures were used to infest coffee berries at five farms ranging in elevation from 279-792 m, and weather variables were monitored at macro (farm-level) and micro (branch-level) scales. CBB development was followed in the field from the time of initial berry infestation by the founding female through the development of F1 mature adults. Mean development time from egg to adult across all sites was 38.5 ± 3.46 days, while the mean time required for the completion of a full life cycle (from time of infestation to presence of mature F1 females) was 50.9 ± 3.35 days. Development time increased with increasing elevation and decreasing temperature. Using macro-scale temperature data and two different estimates for the lower temperature threshold (14.9°C and 13.9°C), we estimated a mean requirement of 332 ± 14 degree-days and 386 ± 16 degree-days, respectively, from the time of berry infestation to the initiation of a new reproductive cycle in mature coffee berries. Similar estimates were obtained using micro-scale temperature data, indicating that macro-scale temperature monitoring is sufficient for life-cycle prediction. We also present a model relating elevation to number of CBB generations per month. Our findings suggest that CBB development times from laboratory studies are generally applicable to field conditions on Hawai'i Island and can be used as a decision support tool to improve IPM strategies for this worldwide pest of coffee.
Data from: A field test of a model for the stability of androdioecy in the freshwater shrimp, Eulimnadia texana
The evolution of hermaphroditism from dioecy is a poorly studied transition. Androdioecy (the coexistence of males and hermaphrodites) has been suggested as an intermediate step in this evolutionary transition or could be a stable reproductive mode. Freshwater crustaceans in the genus Eulimnadia have reproduced via androdioecy for 24+ million years and thus are excellent organisms to test models of the stability of androdioecy. Two related models that allow for the stable maintenance of males and hermaphrodites rely on the counterbalancing of three life history parameters. We tested these models in the field over three field seasons and compared the results to previous laboratory estimates of these three parameters. Male and hermaphroditic ratios within years were not well predicted using either the simpler original model or a version of this model updated to account for differences between hermaphroditic types ('monogenic' and 'amphigenic' hermaphrodites). Using parameter estimates of the previous year to predict the next year's sex ratios revealed a much better fit to the original relative to the updated version of the model. Therefore, counter to expectations, accounting for differences between the two hermaphroditic types did not improve the fit of these models. At the moment, we lack strong evidence that the long-term maintenance of androdioecy in these crustaceans is the result of a balancing of life history parameters; other factors, such as metapopulation dynamics or evolutionary constraints, may better explain the 24+ million year maintenance of androdioecy in clam shrimp.
Data from: A global database and 'state of the field' review of research into ecosystem engineering by land animals.
1. Ecosystem engineers have been widely studied for terrestrial systems, but global trends in research encompassing the range of taxa and functions have not previously been synthesised. 2. We synthesised contemporary understanding of engineer fauna in terrestrial habitats and assessed the methods used to document patterns and processes, asking: 1.Which species act as ecosystem engineers and with whom do they interact? 2. What are the impacts of ecosystem engineers in terrestrial habitats and how are they distributed? 3. What are the primary methods used to examine engineer effects and how have these developed over time? We considered the strengths, weaknesses and gaps in knowledge related to each of these questions, and suggested a conceptual framework to delineate 'significant impacts' of engineering interactions for all terrestrial animals. 3. We collected peer-reviewed publications examining ecosystem engineer impacts and created a database of engineer species to assess experimental approaches and any additional covariates that influenced the magnitude of engineer impacts. 4. One hundred and twenty-two species from twenty-eight orders were identified as ecosystem engineers, performing five ecological functions. Burrowing mammals were the most researched group (27%). Half of all studies occurred in dry/arid habitats. Mensurative studies comparing sites with and without engineers (80%) were more common than manipulative studies (20%). These provided a broad framework for predicting engineer impacts upon abundance and species diversity. However, the roles of confounding factors, processes driving these patterns, and the consequences of experimentally adjusting variables, such as engineer density, have been neglected. True spatial and temporal replication have also been limited, particularly for emerging studies of engineer reintroductions. 5. Climate change and habitat modification will challenge the roles that engineers play in regulating ecosystems, and these will become important avenues for future research. We recommend future studies include simulation of engineer effects and experimental manipulation of engineer densities to determine the potential for ecological cascades through trophic and engineering pathways due to functional decline. We also recommend improving knowledge of long-term engineering effects and replication of engineer reintroductions across landscapes to better understand how large-scale ecological gradients alter the magnitude of engineering impacts.
Data from: AviaNZ: a future-proofed program for annotation and recognition of animal sounds in long-time field recordings
The routine collection of long‐time acoustic recordings of animals in the field presents new challenges in data analysis. While many terabytes of data are collected annually, effective use of this noisy, highly variable data require skilled humans to manually identify calls. While computer programs to automatically analyse these recordings are becoming available, it is important that they are user‐friendly and easy‐to‐use, so that everybody – citizen scientists, wildlife managers, researchers – can take advantage of them, and that they keep the human in the loop so analyses carried out this year are comparable both to manual call counts from the past, and more accurate automated analyses performed in the future. We present the AviaNZ program, which is designed to achieve these goals: the software includes methods for simple, rapid manual annotation of recordings, denoising and segmentation methods, and a training procedure by which the user can prepare their own filters to automatically recognize individual species. The software can run in batch mode, automatically processing folders of field recordings, and then present the outputs to enable the quick and easy review of the results. Finally, the outputs are presented in a variety of spreadsheets to enable different statistical analyses to be performed. We describe the various workflows of manually and semi‐automatically processing sound files, annotating them to train automatic filters, using those filters in batch mode, and how the software facilitates rapid evaluation of the automated analysis. A demonstration of the software, comparing manual and automatic detection of calls of the little spotted kiwi Apteryx owenii is given. It shows that while the automatic detection does produce false positives, human correction of these is far faster than manual review of the whole sound file. AviaNZ is a freely available open‐source standalone program. Our experience shows that it can be used by anybody quickly and easily. However, for experienced users it is easily customizable and extendable. By enabling everybody involved with acoustic bird recording to quickly and easily analyse their own data, while future‐proofing it by keeping the human in the loop, we are enabling acoustic field recordings to meet their potential.
Data from: Free-living bacterial communities associated with tubeworm (Ridgeia piscesae) aggregations in contrasting diffuse flow hydrothermal vent habitats at the Main Endeavour Field, Juan de Fuca Ridge
We systematically studied free-living bacterial diversity within aggregations of the vestimentiferan tubeworm Ridgeia piscesae sampled from two contrasting flow regimes (High Flow and Low Flow) in the Endeavour Hydrothermal Vents Marine Protected Area (MPA) on the Juan de Fuca Ridge (Northeast Pacific). Eight samples of particulate detritus were recovered from paired tubeworm grabs from four vent sites. Most sequences (454 tag and Sanger methods) were affiliated to the Epsilonproteobacteria, and the sulfur-oxidizing genus Sulfurovum was dominant in all samples. Gammaproteobacteria were also detected, mainly in Low Flow sequence libraries, and were affiliated with known methanotrophs and decomposers. The cooccurrence of sulfur reducers from the Deltaproteobac- teria and the Epsilonproteobacteria suggests internal sulfur cycling within these habitats. Other phyla detected included Bacteroidetes, Actinobacteria, Chloroflexi, Firmicutes, Planctomycetes, Verrucomicrobia, and Deinococcus–Thermus. Statisti- cally significant relationships between sequence library composition and habitat type suggest a predictable pattern for High Flow and Low Flow environments. Most sequences significantly more represented in High Flow libraries were related to sulfur and hydrogen oxidizers, while mainly heterotrophic groups were more represented in Low Flow libraries. Differences in temperature, avail- able energy for metabolism, and stability between High Flow and Low Flow habitats potentially explain their distinct bacterial communities.
Data from: Field trials of chemical suppression of embryonic cane toads (Rhinella marina) by older conspecifics
<p>1. Laboratory experiments have shown that the viability of embryos of the invasive cane toad (<i>Rhinella marina</i>) can be reduced by exposure to chemical cues from older conspecific larvae. These effects (very strong in laboratory trials) may offer an exciting new approach to controlling this problematic invasive species in Australia. However, the degree to which the method works in natural environments has yet to be assessed.</p> <p>2. Our experiments in the laboratory and in semi-natural outdoor waterbodies show that chemical cues from tadpoles do indeed suppress the growth, development and survival of conspecific larvae that are exposed as embryos and do so in a dose-dependent manner; higher tadpole densities cause greater suppression of embryos.</p> <p>3. In semi-natural outdoor waterbodies, suppressor-exposed tadpoles were less than half as likely to survive to metamorphosis as were controls, and were much smaller when they did so and hence, less likely to survive the metamorph stage. Additionally, female cane toads were less likely to oviposit in a waterbody containing free-ranging (but not cage-enclosed) tadpoles, suggesting that the presence of tadpoles (rather than the chemical cues they produce) may discourage oviposition.</p> <p>4. Broadly, our results suggest that the suppression effect documented in laboratory studies does indeed occur in the field also, and hence that we may be able to translate that approach to develop new and more effective ways to reduce rates of recruitment of peri-urban populations of cane toads in their invasive range.</p>
Data set for phase-field studies of crystal growth in single-seal syntaxial veins in limestone
<p>The numerical data in this repository consists of the simulation data of single-seal syntaxial calcite vein formation in limestone. The simulations were performed using the software package named "Pace3D (v. 2.5.1)".</p> <p>The data is organized, the way it appears in the figures in the manuscript and the folders are named accordingly.</p> <ul> <li>The simulation data shows intermediate growth stages and was converted from Pace3D output data format to VTK data format. The VTK files can be visualized using open source software packages like Paraview. The data files in each subfolder are also compressed (file format *.gz). For visualization the data has to be decompressed (e.g. with gzip, 7zip).</li> </ul>
Comparing full-field data from structural components with complicated geometries
<p>A new decomposition algorithm based on QR factorisation is introduced for processing and comparing irregularly shaped stress and deformation datasets found in structural analysis. The algorithm improves the comparison of two-dimensional data fields from the surface of components where data is missing from the field of view due to obstructed measurement systems or component geometry that results in areas where no data is present. The technique enables the comparison of these irregularly shaped datasets without the need for interpolation or warping of the data. This ensures comparisons are only made between the available data in each dataset and thus similarity metrics are not biased by missing data. The decomposition and comparison technique has been applied during an impact experiment, a modal analysis, and a fatigue study, with the stress and displacement data obtained from finite element analysis, digital image correlation and thermoelastic stress analysis. The results demonstrate that the technique can be used to process data from a range of sources and suggests the technique has the potential for use in a wide variety of applications.</p>
Data for 3 Swarm-E Fast Auroral Imager Passes Observing the ICEBEAR Radar Field of View
<p>Files containing data for 3 Swarm-E satellite passes observing the Ionospheric Continuous-wave E-region Bistatic Experimental Auroral Radar (ICEBEAR) field of view during semi-active geomagnetic conditions using the Fast Auroral Imager. The dates and times of the passes are:</p> <p>2018-03-10 05:21:00-05:26:00 UT<br> 2019-10-27 04:03:00-04:13:00 UT<br> 2020-03-19 09:00:00-09:04:00 UT</p>
Data from: Metabolism drives demography in an experimental field test
<p>Metabolism should drive demography by determining the rates of both biological work and resource demand. Long-standing 'rules' for how metabolism should covary with demography permeate biology, from predicting the impacts of climate change to managing fisheries. Evidence for these rules is almost exclusively indirect and in the form of among-species comparisons, while direct evidence is exceptionally rare. In a manipulative field experiment on a sessile marine invertebrate, we created experimental populations that varied systematically in population size (density) and metabolic rate, but not body size. We then tested key theoretical predictions regarding relationships between metabolism and demography by parameterising population models with lifetime performance data from our field experiment. We found populations with higher metabolisms had greater intrinsic rates of increase and lower carrying capacities, in qualitative accordance with classic theory, but we also found important departures from theory. In particular, carrying capacity declined less steeply than predicted, such that energy use at equilibrium increased with metabolic rate, violating the long-standing axiom of energy equivalence. Theory holds that energy equivalence emerges because resource supply is assumed to be independent of metabolic rate. We find this assumption to be violated under real world conditions – with potentially far-reaching consequences for the management of biological systems.</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.