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1,891 results for “Field data”
Data for paper titled "Penetrating electric field during the Nov 4 2021 Geomagnetic Storm"
<p>The data is part of publication for a paper titled "Penetrating electric field during the Nov 4 2021 Geomagnetic Storm" to be submitted to the JGR Space Physics. The data contains simulation from the NCAR MAGE model of the Nov 4, 2021 Geomagnetic storm. We used the simulation to study the penetrating electric field, which affects the low latitude region ionosphere.</p>
Data for "Assessment of using field-aligned currents to drive the Global Ionosphere Thermosphere Model: A case study for the 2013 St Patrick's Day geomagnetic storm"
GITM Simulation results for the paper "Assessment of using field-aligned currents to drive the Global Ionosphere Thermosphere Model: A case study for the 2013 St Patrick's Day geomagnetic storm"
Data for A miniaturized magnetic field sensor based on nitrogen-vacancy centers
<p>Here, data sets as plotted in the preprint "A miniaturized magnetic field sensor based on nitrogen-vacancy centers" are uploaded. <br><br>The zip file Data_Zenodo_v3.zip contains a folder for each figure and one additional table supporting the findings in the preprint/publication. Folders of figures containing only images include the images in the preprint/publication as .png and .svg or .pdf data. Folders of figures containing plots include the plot as .png and .pdf aswell as the data points and fit parameters collected in a .xlsx, .csv or .h5 file.</p>
Opening the museum's vault: Historical field records preserve reliable ecological data
<p><span>Museum specimens have long served as foundational data sources for ecological, evolutionary, and environmental research. Continued reimagining of museum collections is now also generating new types of data associated with, but beyond physical specimens, a concept known as "extended specimens". Field notes penned by generations of naturalists contain first-hand ecological observations associated with museum collections and comprise a form of extended specimens with the potential to provide novel ecological data spanning broad geographic and temporal scales. Despite their data-yielding potential, however, field notes remain underutilized in research due to their heterogeneous, unstandardized, and qualitative nature. We introduce an approach for transforming descriptive ecological notes into quantitative data suitable for statistical analysis. Tests with simulated and real-world published data show that field notes and our transformation approach retain reliable quantitative ecological information under a range of sample sizes and evolutionary scenarios. Unlocking the wealth of data contained within field records could facilitate investigations into the ecology of clades whose diversity, distribution, or other demographic features present challenges to traditional ecological studies, improve our understanding of long-term environmental and evolutionary change, and enhance predictions of future change.</span></p>
Hellisheiði geothermal field: Hydraulic data for pseudo-prospective forecasting models (Dec. 2018 - Jan. 2021)
<p>This dataset comprises the compound volumes processed from injection and production rates in the Hellisheiði field between December 2018 and January 2021. This dataset corresponds to the input data for the ETAS-f and Seismogenic Index models of Ritz et al., 2023 (doi:<a href="https://doi.org/10.22541/essoar.168500354.49240043/v1">10.22541/essoar.168500354.49240043/v1</a>)</p><p>The hydraulic data was acquired and processed by Reykjavik Energy/ON power, the operator of the Hellisheiði geothermal field.</p>
Soil grid data for 4 agricultural fields in PT (ECe; soil organic carbon, pH)
<p>Soil data collected in an agricultural area with annual crops in Portugal (Lezíria Grande). The data refers to soil properties of 63 soil samples collected at a depth of 0-20 cm, considering a regular sampling grid, in four fields with varying soil salinity (field areas between 2 and 34 ha). The samples were collected at a period when the soil was bare, following the harvest of the annual crops, and pictures of the soil surface were taken for eventual correction of corresponding remote sensing imaging. The data includes: soil organic carbon (SOC) (Walkley-Black method), soil water content, electric conductivity of the saturated soil paste (ECe), EC1:5, and pH1:5. </p><p>The data may be representative of the soil conditions of the area, which is a highly productive agricultural low land, prone to the development of soil salinity as a result of the rise of saline groundwater and/or irrigation. The data can be used to establish relations between soil salinity (ECe) and other soil properties as well as build prediction models of the soil properties from remote sensing namely, for developing models for SOC prediction under the STEROPES project (WP5 (WP5-T3) and WP2 (WP2-T3)).The aim of the collected dataset was to be able to analyze the influence of soil salinity in SOC prediction from remote sensing.</p><p>Data in the form of MS Excel files (xlsx), pictures of the soil surface in jpg. format. </p>
Data and R code used in Alonso-Crespo et al (2024) Exploring priority and year effects on plant diversity, productivity and vertical root distribution: first insights from a grassland field experiment
<p>This release contains the raw data, R code, and RootPainter model supporting the results described in Alonso-Crespo et al (2024) Exploring priority and year effects on plant diversity, productivity and vertical root distribution: first insights from a grassland field experiment.</p>
data for publication "Benefits of biobased fertilizers as substitutes for synthetic nitrogen fertilizers: Field assessment combining minirhizotron and UAV-based spectrum sensing technologies"
<p>Dataset for the scientific publication "Benefits of biobased fertilizers as substitutes for synthetic nitrogen fertilizers: Field assessment combining minirhizotron and UAV-based spectrum sensing technologies" in the Journal Frontiers of Environmental Science. </p><p><a href="https://doi.org/10.3389/fenvs.2022.988932">https://doi.org/10.3389/fenvs.2022.988932</a></p>
Oregon hydrologic area agricultural field boundaries and field level and hydrologic unit water use data
<p>The data was developed for the USGS Water-Use and Data Research program grant opportunities G20AS00053 and G21AS00258, combined with fundnig from Oregon Water Resources Department to improve estimates of water use from irrigated lands in Oregon. These data contain attributes of irrigation status, irrigation source type, crop type, irrigation method, assumed irrigation efficiency, irrigation water source, evapotranspiration (ET) data from OpenET, and effective precipitation developed using the USBR ET Demands model. Thee data were aggregated in order to further the development of estimates of applied water at the field-scale.</p>
Data for: Melt electrowriting enabled 3D liquid crystal elastomer structures for cross-scale actuators and temperature field sensors
<p>Liquid crystal elastomers have garnered significant attention due to their remarkable capability to undergo reversible strains and shape transformations under various stimuli. Early studies on LCE primarily focused on limited shape changes of macrostructures or quasi-3D microstructures. However, fabricating complex cross-scale LCE-based 3D structures still remains challenging. Here, we report a compatible method, the Melt-Electrohydrodynamic (Melt-EHD) 3D printing, to create LCE-based microfiber actuators and various 3D actuators across micrometer to centimeter scales, showcasing their actuation to thermal airflow stimulus. By controlling printing parameters, microfiber actuators with different diameters (5 μm~70 μm), and tunable properties including actuation strain (10%~55%), actuation stress (0~0.6 MPa), and large work density (~160J/kg) have been demonstrated. Under dynamic thermal airflow stimulus at 15 Hz, the microfiber actuators lift weights over 3500 times heavier than themselves. These 3D structures were obtained by depositing LCE microfibers along pre-programmed paths, including various gradient-responsive elementary structural units, 1 mm-sized microgripper, and various large area 3D lattice structures. In addition, by integrating a Deep Learning model, we have demonstrated, for the first time, large area (≥ centimeter scale), real-time (24 Hz sampling frequency), high-precision (~95%) LCE grid based spatial temperature field sensors with a spatial resolution of only 4 mm.</p>
Data from: Hybrids of two destructive subterranean termites established in the field, revealing a potential for gene flow between species
<p>Hybridization between invasive pest species may lead to significant genetic and economic impacts that require close monitoring. The two most invasive and destructive termite species worldwide, <em>Coptotermes formosanus</em> Shiraki and <em>Coptotermes gestroi</em> (Wasmann), have the potential for hybridization in the field. A three-year field survey conducted during the dispersal flight season of <em>Coptotermes</em> in Taiwan identified alates with atypical morphology, which were confirmed as hybrids of the two <em>Coptotermes</em> species using microsatellite and mitochondrial analyses. Out of 27,601 alates collected over three years, 4.4% were confirmed as hybrid alates, and some advanced hybrids (>F1 generations) were identified. The hybrid alates had a dispersal flight season that overlapped with the two parental species 13 out of 15 times. Most of the hybrid alates were females, implying that mating opportunities beyond F1 may primarily be possible through female hybrids. However, the incipient colony growth results from all potential mating combinations suggest that only backcross colonies with hybrid males could sometimes lead to brood development. The observed asymmetrical viability and fertility of hybrid alates may critically reduce the probability of advanced-hybrid colonies being established in the field.</p>
Data generated from calculations in "Gauge Field Dynamics in a Multilayer Kitaev Spin Liquid"
<p>The Kitaev honeycomb model hosts a quantum spin liquid in its ground state, where the excitations are gapless Majorana fermions and static <span><span><span><span><span><span><span>Z</span></span></span><span>2</span></span></span></span></span> gauge fluxes called visons. We consider Kitaev models stacked on top of each other, weakly coupled by Heisenberg interaction linear in <span><span><span><span><span>J</span><span>⊥</span></span></span></span></span>. This inter-layer coupling breaks the integrability of the model and makes the gauge fields dynamic. While single visons stay static in this model, an inter-layer pair of visons can hop with a hopping amplitude linear in <span><span><span><span><span>J</span><span><span><span>⊥</span></span></span></span></span></span></span>, but remains confined to a single plane. An intra-layer vison-pair, in contrast, is constrained to move along the stacking direction only. Depending on the anisotropy of the Kitaev couplings <span><span><span><span><span>K</span><span>x</span></span><span>,</span><span><span>K</span><span>y</span></span><span>,</span><span><span>K</span><span>z</span></span></span></span></span>, the intra-layer vison pairs show completely different dynamical behaviours. While coherent intra-layer tunnelling is possible for sufficiently strong anisotropies, only incoherent processes are possible in the isotropic case. When a magnetic field opens a gap for Majorana fermions, one can identify two types of intra-layer vison pairs, one bosonic and one fermionic. Only the bosonic pair obtains a hopping rate linear in <span><span><span><span><span>J</span><span>⊥</span></span></span></span></span>. We argue that our results can be used to identify leading instabilities of the Kitaev phase induced by the inter-layer coupling.</p>
The upper crustal deformation field of Greece inferred from GPS data and its correlation with earthquake occurrence
<p>These are Tables S1 and S2 which accompany the Article "The upper crustal deformation field of Greece inferred from GPS data and its correlation with earthquake occurrence" by Konstantinos Chousianitis, Sotirios Sboras, Vasiliki Mouslopoulou, Gerasimos Chouliaras, and Dionissios T. Hristopulos.</p>
Data from: Historical field records reveal habitat as an ecological correlate of locomotor phenotypic diversity in the radiation of Neotropical Geophagini fishes
<p>Phenotypic macroevolutionary studies provide insight into how ecological processes shape biodiversity. However, the complexity of phenotype-ecology relationships underscores the importance of also validating phenotype-based ecological inference with direct evidence of resource use. Unfortunately, macroevolutionary scale ecological studies are often hindered by the challenges of acquiring taxonomically and spatially representative ecological data for large and widely distributed clades. The South American cichlid fish tribe Geophagini represents a continentally distributed radiation whose early locomotor morphological divergence suggests habitat as one ecological correlate of diversification, but an association between locomotor traits and habitat preference has not been corroborated. Field notes accumulated over decades of collecting across South America provide first-hand environmental records that can be mined for habitat data in support of macroevolutionary ecological research. In this study, we applied a newly developed method to transform descriptive field note information into quantitative habitat data, and used it to assess habitat preference and its relationship to locomotor morphology in Geophagini. Field note-derived data shed light on geophagine habitat use patterns and reinforced habitat as an ecological correlate of locomotor morphological diversity. Our work emphasizes the rich data potential of museum collections, including often overlooked material such as field notes, for evolutionary and ecological research.</p>
Raw data and MTEX script for the article : "Quantification of grain boundary mobilities in natural olivine by annealing experiments and full-field modelling"
<p>This dataset contains the EBSD (.ctf) files of the different sample areas analyzed in the article : "Quantification of grain boundary mobilities in natural olivine by annealing experiments and full-field modelling" by J. Furstoss, S. Demouchy, A. Tommasi, E. Gardès, F. Barou and N. Marino, which is expected to be published in Tectonophysics. This repository also contains the Analyze.m MTEX script which has been used for the post-processing of the EBSD files. This script has to be run in matlab and outputs different figures and .csv files containing the raw data used in the article. For any questions please contact jfurstoss@orange.fr </p>
"Nowcasting Solar EUV Irradiance with Photospheric Magnetic Fields and the MgII Index" Figures, Scripts, and Data
<p>These tar files, scripts, and datasets were used in the paper "Nowcasting Solar EUV Irradiance with Photospheric Magnetic Fields and the MgII Index," submitted for publication to the Space Weather Journal. More information on what is included in this archive can be found the the ReadMe file. </p>
Ambient noise data and velocity model from DEEPEN array in Hengill geothermal field, Iceland
<p>This repository contains the data and velocity model associated with the manuscript entitled "<em>Crustal characterization of the Hengill geothermal fields: Insights from isotropic and anisotropic seismic noise imaging using a 500-node array</em>" by Wu et al. (2024), to be published in <em>Journal of Geophysical Research: Solid Earth</em>. </p> <p>The dataset is the nine component cross-correlation functions (ZZ, ZN, ZE, NZ, NN, NE, EZ, EN, EE) after stacking over seismic array deployment time period (summer 2021) and after spatial averaging (bin stacking). The bin locations are provided in "bin_locations.txt".</p> <p>The derived VOIGT velocity and radial anisotropy model can be found in "Hengill_Voigt_Aniso_DEEPEN_4share.txt".</p> <p> </p>
Soil grid data for agricultural fields in Spain for STEROPES (EJP Soil) project (ECe, texture, soil organic carbon, pH)
<p><span>Soil data collected in an agricultural area with vegetable crops in Spain (Campo de Cartagena). The data refers to soil properties of 141 soil samples collected at a depth of 0-10 cm, considering a regular sampling grid, in different commercial fields with varying soil salinity. The samples were collected at a period when the soil was bare, during two consecutive summers, following the harvest of the annual crops, and pictures of the soil surface were taken for eventual correction of corresponding remote sensing imaging. The data includes: soil organic carbon (SOC) (Walkley-Black method), soil water content, electric conductivity of the saturated soil paste (ECe), EC1:5, soil texture, stone content and pH1:2.5. </span></p> <p><span> </span></p> <p><span>The data may be representative of the soil conditions of the area, which is an intensive productive agricultural low land, potentially prone to the development of soil salinity as a result of the rise of saline groundwater and/or irrigation. The data can be used to establish relations between soil salinity (ECe) and other soil properties as well as build prediction models of the soil properties from remote sensing namely, for developing models for SOC prediction under the STEROPES project (WP3, WP5 and WP6).The aim of the collected dataset was to be able to analyze the influence of soil salinity in SOC prediction from remote sensing.</span></p> <p><span> </span></p> <p><span>Data in the form of MS Excel file (xlsx).</span></p> <p><span> </span></p> <p><span> </span></p>
Data from: "Distance decay effects predominantly shape spider but not carabid community composition in crop fields in north-western Europe"
Open the record for dataset details and reuse information.
Data for: A comprehensive dataset of forest above-ground biomass from field observations, machine learning and topographically augmented allometric models over the Kashmir Himalaya
<p>The repository contains observed Above Ground Biomass (AGB) estimates at about 275 sample plots chosen for AGB assessment in the forests of Kashmir Himalaya. The AGB is assessed as a fucntion of dbh using various allometric equations developed specifically for the region. It also contains the AGB for years 1978, 1990, 2000, 2010 and 2021 predicted using topographcally augmeneted multivariate regression model. The extent of forest, delineated using on-screen digitization using Landsat and Sentinel image collection at decadal scale is also provided for the years 1978, 1990, 2000, 2010 and 2021.</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.