Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,891
datasets available to search
ShareScore release 0.9.0
Dataset results
1,891 results for “Field data”
Model data for normal modes of poloidal field line oscillations
Open the record for dataset details and reuse information.
raw data - Old Questions, New Answers: Real-World, Long-Term Efficacy of Hymenoptera Venom Immunotherapy: Prevalence of Venom-Induced Anaphylaxis, Risk Factors, Field Sting Reactions
Open the record for dataset details and reuse information.
Experimental data for "Experimental Demonstration of Electric Power Generation from Earth's Rotation Through Its Own Magnetic Field"
Open the record for dataset details and reuse information.
Numerical data for Figures in Radio Science paper entitled "Flatness Error Compensation of Large Near-Field Scanning Frame Based on Cubic Spline Interpolation"
<p>Data format is EXCEL</p>
Datasets for the integration of MT data with magnetic inversion: proof-of-concept using synthetic data and field application
<p>This dataset is a companion dataset to the manuscript "<strong>Utilisation of probabilistic MT inversions to constrain magnetic data inversion: proof-of-concept and field application</strong>", by Jérémie Giraud, Hoël Seillé, Mark D. Lindsay, Gerhard Visser, Vitaliy Ogarko, and Mark W. Jessel. <br><br>It contains models and data shown in the paper.<br><br>The document was submitted for publication in Solid Earth: <br>https://se.copernicus.org/preprints/se-2021-124/se-2021-124-manuscript-version2.pdf<br><br>The folder organisation is as follows, where <strong>bold</strong> refers to folders and subfolders, and text in <i>italic</i> corresponds to a succinct description of the contents.<br><br>|-- <strong>Dataset_synth</strong> > <i>synthetic dataset and results</i><br>| |-- <strong>Mag </strong>> <i>magnetic data and models: inversion and results </i><br>| | |-- <strong>domains </strong>> <i>contains the files used to define domains for inversion</i><br>| | |-- <strong>inversion results </strong>> <i> contains subfolders with inversion results for different cases </i><br>| | | |--<strong> case a </strong><br>| | | |--<strong> case b</strong><br>| | | |--<strong> case c</strong><br>| | | |-- <strong>case d</strong><br>| | | |-- <strong>case e</strong><br>| | | |-- <strong>case f </strong><br>| | |-- <strong>membership values</strong> > <i>contain files with membership values for the cases (a)-(f)</i><br>| | |-- <strong>responses </strong>> <i>simulated data with and without noise</i><br>| | |-- <strong>true model </strong>> <i>true model used for simulation</i><br>| |-- <strong>MT </strong>> <i>MT probabilities, sites information and models</i><br>| | |-- <strong>probabilities </strong>> <i>MT-derived probabilities</i><br>| | |-- <strong>responses </strong>> <i>simulated MT data</i><br>| | | |-- <strong>edi_noise_5p </strong>> <i> 5% noise-contaminated data (*.edi files)</i><br>| | | |--<strong> </strong>MansfieldMT_fwd.dat > <i> uncontaminated (ModEM format *.dat file)</i><br>| | |-- <strong>model </strong>> <i>model in ModEM format (*.mod) and WinGLink format (.out) formats</i><br>| | |-- coordinates.txt ><i> location of MT sites</i><br>| |-- <strong>Rock units </strong>> <i>contains the file with indices of the rock unit model, in 3D, of the modified Mansfield model. The indices are stored as a column vector. </i><br><br>|-- <strong>Dataset_field</strong> > <i>field dataset</i><br>| |-- <strong>Mag </strong>> <i>magnetic data and models: inversion and results</i><br>| | |-- <strong>admm constraints </strong>> <i> file with bound constraints used in cases 3, 4, and adjusted case 4.</i><br>| | |-- <strong>data </strong>> <i> magnetic data for inversion, x, y, z, data column format.</i><br>| | |-- <strong>inverted models </strong>> <i> folders containing inversion results for the different cases tested</i><br>| | | |-- <strong>case 1</strong> <br>| | | |-- <strong>case 2</strong><br>| | | |-- <strong>case 3</strong><br>| | | |-- <strong>case 4</strong><br>| | | |-- <strong>case 4 adjusted</strong><br>| |-- <strong>MT </strong>> <i>MT probabilities and sites information</i><br>| | |-- <strong>probabilities </strong>> <i>MT probabilities of interface and rock units (*.txt files)</i><br>| | |-- coord_L26_sites > <i>File containing the location of sites along ligne L26</i></p>
Field survey quadrat data - Exotic perennial grass invasion profiles differ between temperate threatened grassy communities
<p><b>Aim</b>: Exotic perennial grasses are significant invaders of native grassy communities and frequently multiple species invade communities, some from nearby agricultural areas. There is little understanding of the landscape distribution of many species, making prioritisation for control a difficult decision.</p> <p><b>Location</b>: New South Wales, Eastern Australia</p> <p><b>Methods</b>: We undertook field surveys of exotic perennial grasses at 139 sites from nine grassy threatened ecological communities across four regions and assessed whether the profiles of exotic species varied amongst regions and communities. We used a ranking of invasion risk based on plant characteristics to identify exotic perennial grasses that were likely to be the most invasive and then tested whether this ranking predicted the level of invasion measured in the survey.</p> <p><b>Results</b>: Using multivariate analysis we found that the threatened grassy communities surveyed were significantly invaded by exotic perennial grasses and that these assemblages were regionally distinct and distinct for most plant communities. Five widespread invaders were particularly established in all regions and communities, but regions also had distinct sets of invaders contributing significantly to degradation. Invasion by trade-off species was the most significant threat to grassy communities in all regions. We showed that species with higher risk rankings based on plant characteristics were recorded in more sites but there were a few grasses that were more invasive than their ranking predicted.</p> <p><b>Main conclusions</b>: Our findings indicate that management of grassy plant communities for exotic perennial grasses should be undertaken at the community level although there are a suite of species that are important invaders in the whole landscape where improved understanding of pathways of invasion are needed for management across regions. We identified a set of species which are important invaders but are not a focus in management currently, largely because many of these are species used in pastures. Our study illustrates that higher levels of invasion were associated with species that were ranked more invasive on plant characteristics and this ranking could be used to initially allocate priorities for management of threatened plant communities. Trade-off species remain the major cause of degradation and must be included in discussions of regional conservation.</p>
Magnetic field data at Jicamarca and Tarapoto, Peru
<p>Magnetometer data recorded at Jicamarca and Tarapoto, Peru, 13-17 January 2022.</p>
Data from: Field studies demonstrate bivoltinism in the mountain pine beetle (a reply to Bentz and Powell)
[No abstract entered]
Data for `Field-mediated locomotor dynamics on highly deformable surfaces'
<p>This dataset is for `Field-mediated locomotor dynamics on highly deformable surfaces.'</p>
Data from: Computing the local field potential (LFP) from integrate-and-fire network models
Leaky integrate-and-fire (LIF) network models are commonly used to study how the spiking dynamics of neural networks changes with stimuli, tasks or dynamic network states. However, neurophysiological studies in vivo often rather measure the mass activity of neuronal microcircuits with the local field potential (LFP). Given that LFPs are generated by spatially separated currents across the neuronal membrane, they cannot be computed directly from quantities defined in models of point-like LIF neurons. Here, we explore the best approximation for predicting the LFP based on standard output from point-neuron LIF networks. To search for this best "LFP proxy", we compared LFP predictions from candidate proxies based on LIF network output (e.g, firing rates, membrane potentials, synaptic currents) with "ground-truth" LFP obtained when the LIF network synaptic input currents were injected into an analogous three-dimensional (3D) network model of multi-compartmental neurons with realistic morphology, spatial distributions of somata and synapses. We found that a specific fixed linear combination of the LIF synaptic currents provided an accurate LFP proxy, accounting for most of the variance of the LFP time course observed in the 3D network for all recording locations. This proxy performed well over a broad set of conditions, including substantial variations of the neuronal morphologies. Our results provide a simple formula for estimating the time course of the LFP from LIF network simulations in cases where a single pyramidal population dominates the LFP generation, and thereby facilitate quantitative comparison between computational models and experimental LFP recordings in vivo.
Data from: A field-based analysis of genetic improvement for grain yield in winter wheat cultivars developed in the us central plains from 1992 to 2014
[No abstract entered]
Visualization Data for Topic Modeling in the Field of Biotechnology (Bachelor's Thesis)
<p>Visualization Data for Topic Modeling in the Field of Biotechnology (Bachelor's Thesis at UPM)</p>
Flux Emergence Photospheric Data from Simulation with Twist 2 - Just Magnetic Field
Open the record for dataset details and reuse information.
Flux Emergence Photospheric Data from Simulation with Twist 0.5 - Just Magnetic Field
Open the record for dataset details and reuse information.
Flux Emergence Photospheric Data from Simulation with Twist 1 - Just Magnetic Field
Open the record for dataset details and reuse information.
Flux Emergence Photospheric Data from Simulation with Twist 0 - Just Magnetic Field
Open the record for dataset details and reuse information.
Data for Field-domain rapid-scan EPR at 240 GHz manuscript
Open the record for dataset details and reuse information.
Supplementary data for the manuscript "Guided Transformation of Abandoned Hydrocarbon Fields into Heat Storage Solutions Using Enhanced MCDA-AHP Geostatistical Based Method: Hungarian Case Study.
Open the record for dataset details and reuse information.
FIGURE 59 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 59. Ptyas luzonensis (Sorsogon Prov., Luzon Id.) (KU uncat.; field no. RMB 23519). Photo © JBF/RMB.
FIGURE 7 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 7. Ramphotyphlops cumingii (head) (Augsan del Norte Prov., Mindanao Id.) (KU 334468). Photo © RMB.
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.