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1,477 results for “earth”
Weights for calculation of magnetic field at INTERMAGNET observatories for 3-D conductivity model of the Earth in the time domain
<p>Weights are calculated with time step of 1 hour and memory of 4320 hours for two cases.</p> <ol> <li>The source is parametrized by spherical harmonics up to degree 4 (<a href="../api/records/12802448/draft/files/MB_SHS_modes_up_to_24_at_obs.h5/content" target="_blank" rel="noopener noreferrer">MB_SHS_modes_up_to_24_at_obs.h5</a> )</li> <li>The source is parametrized by so-called periodic modes, obtained from the output of TIEGCM (<a href="../api/records/12802448/draft/files/MB_periodic_modes_16_24_at_obs.h5/content" target="_blank" rel="noopener noreferrer">MB_periodic_modes_16_24_at_obs.h5)</a></li> </ol> <p>The detailed desciption of the weights meaning and calculation can be found in Kruglyakov & Kuvshinov, 2024.</p> <ul> <li>Datasets M_B_r stand for radial (upward) component of the magnetic field at the ground;</li> <li>Datasets M_B_theta stand for southward component of the magnetic field at the ground;</li> <li>Datasets M_B_phi stand for eastward component of the magnetic field at the ground;</li> <li>Datasets Theta stand for the co-latitudes of the observatories in the geo-centric cooridnate system</li> <li>Datasets Phi stand for the longitudes of the observatories in the geo-centric cooridnate system</li> </ul> <p> </p>
EAHE-D: a Dataset for Modeling and Performance Evaluation of Earth to Air Heat Exchangers
<p><strong>The dataset is available in its original form, allowing users to perform data preprocessing according to their specific needs. Additionally, we offer a processed version of the dataset, which can be used to further investigate the effectiveness of EAHE deployment in buildings and its integration with other passive and active systems, aiming to enhance energy efficiency while maintaining occupant comfort.</strong></p>
Flow at the Earth's core mantle boundary between 1900.0 and 2014.0
<p>The files contain the spherical harmonics coefficients of the velocity field at the Earth's core mantle boundary between 1900.0 and 2014.0.</p> <p>Uncertainties are provided through the standard deviation associated with each coefficient.</p>
Role of Troposphere-Convection-Land Coupling in the Southwestern Amazon Precipitation Bias of the Community Earth System Model version 1 (CESM1)
<p>Necessary outputs and scripts for recreating the figures for the journal article with the same title.</p>
Supplementary Dataset for "Most Earth-surface calcites precipitate out of isotopic equilibrium", by M. Daëron, R.N. Drysdale, M. Peral, D. Huyghe, D. Blamart, T.B. Coplen, F. Lartaud, and G. Zanchetta
<p>This repository contains the raw data files and Python code used to generate all figures and equations included in the article "Most Earth-surface calcites precipitate out of isotopic equilibrium", by Daëron et al. (https://doi.org/10.1038/s41467-019-08336-5).</p>
Dataset of "Inner Edge of Habitable Zone for Earth-sized Planets with Various Surface Water Distribution"
<p>This dataset contains results to create figures in the paper "Inner Edge of Habitable Zone for Earth-sized Planets with Various Surface Water Distribution" by T. Kodama et al.</p> <p>It contains that temperature, ground temperature, ground specific water, evaporation efficiency, cloud fraction, latent heat flux, top radiative flux (long and short), precipitable water, cloud water ratio from our GCM calculations. We used Gtool3-dcl5 which is developed by the GFD-DENNOU Club for analysis (<a href="https://www.gfd-dennou.org/">https://www.gfd-dennou.org</a>). For more </p>
PIC data for 2019 JGR paper (An event study of simultaneous earthward and tailward bursty fast flows in the Earth's mid-tail)
<p>The PIC data and an IDL script to read the data.</p>
Development of a global 30-m impervious surface map using multi-source and multi-temporal remote sensing datasets with the Google Earth Engine platform
<p>An accurate global impervious surface map at a resolution of 30-m for 2015 by combining Landsat-8 OLI optical images, Sentinel-1 SAR images and VIIRS NTL images based on the Google Earth Engine (GEE) platform.</p>
Data set of manuscript entitled "Spatiotemporal evolution of long- and short-term slow slip events in the Tokai region, central Japan, estimated from a very dense GNSS network during 2013–2016" submitted to the Journal of Geophysical Research: Solid Earth
<p>This data set was used for manuscript entitled “Spatiotemporal evolution of long- and short-term slow slip events in the Tokai region, central Japan, estimated from a very dense Global Navigation Satellite Systems (GNSS) network during 2013–2016” submitted to the Journal of Geophysical Research: Solid Earth. This data set includes 1 figure file, 1 station list and 26 numerical data files. Figure and numerical data are locations of GNSS stations and GNSS time series used in our submitted manuscript, respectively.</p> <p>Figure file maned “location_of_station.png” shows locations of GNSS stations used in our submitted manuscript. Blue dots denote a continuous GNSS network named GEONET was installed by the Geospatial Information Authority of Japan, and red triangles denote continuous GNSS stations constructed by the Japanese University Consortium for GPS Researchers (JUNCO) and operated by the Earthquake Research Institute at the University of Tokyo and allied universities.</p> <p>The coordinates of JUNCO station are collected in a file named “site_junco.bl”. Description of each column is as follows:</p> <p>1. Column 1: Longitude in degree.</p> <p>2. Column 2: Latitude in degree.</p> <p>3. Column 3: Station name.</p> <p>Numerical data is GNSS time series, corresponds to the corrected time series in our submitted manuscript, observed for the period between 1 January 2013 and 31 January 2016. A complete description of data set is found in our submitted manuscript. Description of each column is as follows:</p> <p> </p> <p>1. Column 1: Days since 31 December 2012.</p> <p>2. Column 2: East displacement in cm</p> <p>3. Column 3: North displacement in cm</p> <p>4. Column 4: Vertical displacement in cm</p> <p>5. Column 5: Standard deviation of east displacement in cm</p> <p>6. Column 6: Standard deviation of north displacement in cm</p> <p>7. Column 7: Standard deviation of vertical displacement in cm</p> <p> </p> <p>The numerical data in this data set includes only the 26 JUNCO stations data. Numerical data files are named by the regularity of the combination of the 4 characters station name and extension “.dat”.</p>
GCM simulations of Earth-like M- and K-dwarf planets
<p>Simulations are described in papers:</p> <ul> <li> <div>Lobo, A. H., Shields, A. L., Palubski, I. Z., & Wolf, E. (2023). <strong>Terminator Habitability: The Case for Limited Water Availability on M-dwarf Planets</strong>. <em>The Astrophysical Journal</em>, <em>945</em>(2), 161. https://doi.org/10.3847/1538-4357/aca970</div> </li> <li>Lobo, A. H., Shields, A. L., (in press, 2024). <strong>Climate Regimes Across the Habitable Zone: a Comparison of Synchronous Rocky M- and K-dwarf Planets</strong>. <em>The Astrophysical Journal. </em></li> </ul> <p> </p>
Earth Microbiome Project and Global Soil Mycobiome Data Subsets
<p>These are subsets of the publicly available Earth Microbiome Project (<a href="https://earthmicrobiome.org/">https://earthmicrobiome.org/</a>, <a href="../records/890000">https://zenodo.org/records/890000</a>) [1] and Global Soil Mycobiome project datasets (<a href="https://doi.org/10.15156/BIO/2263453"><span>https://doi.org/10.15156/BIO/2263453</span></a>) [2,3], provided for benchmarking and testing purposes. These are re-released with attribution under a CC-BY-4.0 license, following the license of the original source creators. If you use this resource, please cite the original references as given below:</p> <p>1. Thompson, L. R., <em>et al.</em> (2017). A communal catalogue reveals Earth’s multiscale microbial diversity. <em>Nature</em>, 551:457-463. <a href="http://doi.org/10.1038/nature24621" target="_blank" rel="noopener noreferrer">doi:10.1038/nature24621</a>.</p> <p>2. Tedersoo, L., <em>et al.</em> The Global Soil Mycobiome consortium dataset for boosting fungal diversity research. <em>Fungal Diversity</em> <strong>111</strong>, 573–588 (2021). https://doi.org/10.1007/s13225-021-00493-7</p> <p>3. Tedersoo, L. (2021): The Global Soil Mycobiome consortium dataset for boosting fungal diversity research v2. University of Tartu. 10.15156/BIO/2263453</p>
Modeling the Early Earth: Core Formation in the Nebular Era Does Not Guarantee a High 3He/4He Ratio
<p>We include the two files used to generate all figures in the manuscript.</p> <ol> <li>"input.csv" - includes the randomly generated parameters used to build the model protoplanet for each iteration of the model (set, phi, radius, t_accr, d_He, thermal gradient, radius fraction of equilibration, kappa)</li> <li>"results.csv" - includes the parameters calculated within the model for each iteration (surface temperature, M.O. reaction temperature, surface pressure, M.O. reaction pressure, dIW, mole fraction of O in metal, d_U+Th, 3He/4He ratio, 3He/4He ratio after 4.5 Gyrs)</li> </ol>
Data Products and Reduction Files For: JWST COMPASS: The 3-5 Micron Transmission Spectrum of the Super-Earth L 98-59 c
<p>Supplementary material for JWST COMPASS: The 3-5 Micron Transmission Spectrum of the Super-Earth L 98-59 c, Scarsdale et. al. 2024 (accepted). Included are:</p> <ol> <li>Control files necessary to reproduce the Eureka! reduction described in the paper</li> <li>Stage 4 (light curves) data products from Eureka!</li> <li>Final transmission spectra for the Eureka! and ExoTIC-JEDI reductions </li> </ol> <p>Please contact Nicholas Scarsdale (nscarsda at ucsc.edu) with any questions. </p>
The INMCM-4.8 Earth system model data used in the paper by Guryanov V.V. et al. entitled ''The present-day and future lightning frequency as simulated by four CMIP6 models'
<p>The INMCM-4.8 Earth system model data used in the paper by Guryanov V.V. et al. entitled ''The present-day and future lightning frequency as simulated by four CMIP6 models'</p>
APECOSM configuration files used in the Earth's Future "Past and Future of Marine Ecosystems" special issue
<p>This dataset contains the configuration files to run the <em>piControl-spinup</em> and <em>piControl</em> experiment in the ToE paper.</p> <p>In the <em>piControl</em> experiment, light is provided by the <em>rsdo </em>variable, which is is converted into PAR by using a constant conversion factor (0.43). However, this variable is not available for the <em>piControl-spinup</em> experiment, in which PAR has been reconstructed from chlorophyll and solar radiation using the <a href="https://github.com/apecosm/par-calculation" target="_blank" rel="noopener">par-calculation</a> tool (version <code>58ab94c</code>)</p> <p>All the other simulations use the same parameters as in the <em>piControl</em> , except for the forcing and restart paths.</p> <p>The APECOSM version used is <code>c0a910b8</code>.</p> <p> </p>
Figure 8 in Can humans share spaceship earth?
Figure 8. Spread of cane toads across Australia.
Figure 7 in Can humans share spaceship earth?
Figure 7. The arboreal Australian pygmy monitor Varanus gilleni. Photo by Eric R. Pianka.
Demo-Dataset for publication "FAIR workflows in Earth system modelling: a use case with semantic data management"
<p>This demodataset is intended to be used to test the workflow described in the publication by Lennartz & Schlemmer "FAIR workflows in Earth System modelling: a use case with semantic data management". It contains example model output for an arbitrary biogeochemical model tracer (here: dissolved organic carbon, DOC) from an ocean model as a 4-dimensional dataset (latitude, longitude, depth, time), the corresponding grid point locations as well as a textfile specifying parameter inputs for the model. The file structure is adapted for seamless integration into the workflow described in Lennartz & Schlemmer, which builds on the open source semantic research data management system LinkAhead. The dataset contains the following structure: The folder DataAnalysis stores data required for data analysis, such as the grid point locations in the file TMM_grid_v2018a.mat. The folder SimulationData stores model output in the folder 2022_TMM, containing the parameter input file nl_in.txt and the model output TR_monthly.mat. Related instructions can be accessed here: https://gitlab.com/salexan/fairworkflows-demodataset .</p>
The Mother's Day solar storm of 11 May 2024 and its effect on Earth's radiation belts.
<p>The dataset presneted here are used in "The Mother’s Day solar storm of 11 May 2024 and its effect on<br>Earth’s radiation belts." <br><br>EPT files (ept_protons_x and ept_electrons_x) contain the differential flux observed by the energetic particle telescope (EPT) averaged in L-time bins (0.25L - 6 hours) from May 1st 2024 to June 30th 2024, where L is the McIlwain parameter. This averages are performed for each energy chanel of the EPT (6 for electrons and 10 for protons). Differential fluxes are given in [(s cm² sr MeV)^-1].</p> <p>Similar to the EPT files, the POES files contain electrons and proton fluxes from the MEPED instrument on board MetOp3 averaged on the same grid as the EPT fluxes. In this case proton fluxes are differential fluxes in units of [(s cm² sr keV)^-1] whereas electron fluxes are integral fluxes in units of [(s cm² sr)^-1].</p> <p>GOES file contains the integral proton fluxes observed by GOES from May 1st to June 30th 2024. Proton fluxes are given in [(s cm²)^-1].</p> <p>The nmdb file contains the count rates from ground based neutron monitors retrieved from the neutron monitor database.</p> <p>Note that PROBA-V/EPT data are publicly available on the Space Situational Awareness website of ESA https://swe.ssa.esa.int/space-radiation. POES data are available on https://satdat.ngdc.noaa.gov/sem/poes/data. GOES on https://www.swpc.noaa.gov/products/goes-proton-flux and OMNI on https://omniweb.gsfc.nasa.gov/html/ow_data.html</p>
Earth BioGenome Project: Authors and author contributions for publication "The Earth BioGenome Project Phase II: Illuminating the Eukaryotic Tree of Life"
<p>The zipped file cntains three tab-separated datasets (worksheets). These worksheets list</p> <p>The contributing authors for the manuscript "The Earth BioGenome Project Phase II: Illuminating the Eukaryotic Tree of Life" and the roles of these authors in the manuscript.</p> <p>The funding sources for these authors</p> <p>A list of the authors contributing to the "EBP Community of Scientists" collective authorship for the same manuscript.</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.