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245 results for “geophysical”
Sentinel-6A MF Jason-CS L2 Advanced Microwave Radiometer (AMR-C) NTC Geophysical Parameters (Unvalidated) F08
Provides reprocessed L2 non-time critical (NTC; 60-day latency) geophysical information from the Advanced Microwave Radiometer on the Sentinel-6A Michael Freilich spacecraft including surface type, wind speed, water vapor, brightness temperature, sigma0, wet troposphere, and associated quality flags. The data are interpolated to intervals that correspond to altimetry measurements from the Poseidon-4 SAR to supply the geophysical and environmental corrections for altimetry. The S6A NTC product is analogous to the Jason-3 GDR product.
SWOT Level 2 Nadir Altimeter Operational Geophysical Data Record with Waveforms - GDR, Version 2.0
Same as L2_NALT_GDR using predicted values for some auxiliary data, and does not have GIM ionosphere model values. Uses the onboard DORIS orbit ephemeris. Available with latency of < 7 hours. Discrete measurements at nadir for each data downlink, along the ground track. Available in netCDF-4 file format.
Full Resolution Full Swath Geophysical Product for Ocean, Land and Atmosphere
The Medium Resolution Imaging Spectrometer (MERIS) is one of 10 sensors deployed in March of 2002 on board the polar-orbiting Envisat-1 environmental research satellite by the European Space Agency (ESA). The MERIS instrument is a moderate-resolution wide field-of-view push-broom imaging spectroradiometer capable of sensing in the 390 nm to 1040 nm spectral range. Being a programmable instrument, it had the unique capability of selectively adjusting the width and location of its 15 bands through ground command. The instrument has a 68.5-degree field of view and a swath width of 1150 meters, providing a global coverage every 3 days at 300 m resolution. Communication with the Envisat-1 satellite was lost suddenly on the 8th of April, 2012, just weeks after celebrating its 10th year in orbit. All attempts to re-establish contact were unsuccessful, and the end of the mission was declared on May 9th, 2012.The 4th reprocessing cycle, in 2020, has produced both the full-resolution and reduced-resolution L1 and L2 MERIS products. EN1_MDSI_MER_FRS_2P is the short-name for the MERIS Level-2 full resolution, geophysical product for ocean, land, and atmosphere. This Level-2 product comes in a netCDF4 package that contains both instrument and science measurements, and a Manifest file that provides metadata information describing the product. Each Level-2 product contains 64 measurement files that break down thus: 13 files containing water-leaving reflectance, 13 files containing land surface reflectance and 13 files containing the TOA reflectance (for all bands except those dedicated to measuring atmospheric gas - M11 and M15), and several files containing additional measurements on ocean, land, and atmosphere parameters.
SWOT Level 2 Nadir Altimeter Operational Geophysical Data Record with Waveforms - GDR Version 1.0
Same as L2_NALT_GDR using predicted values for some auxiliary data, and does not have GIM ionosphere model values. Uses the onboard DORIS orbit ephemeris. Available with latency of < 7 hours. Discrete measurements at nadir for each data downlink, along the ground track. Available in netCDF-4 file format.
SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms - SGDR, Version 2.0
Same as L2_NALT_GDR, using preliminary values for some auxiliary data. Uses Medium-accuracy (preliminary) Orbit Ephemeris (MOE). Available with latency of < 1.5 days. Discrete measurements at nadir for each half orbit, along the ground track. Available in netCDF-4 file format.
International Geophysical Year, 1957-1958: Drifting Station Alpha Documentary Film, Version 1
This film documents the activities that occurred on Drifting Station Alpha in the Arctic Ocean during the International Geophysical Year, 1957 to 1958. The film is narrated by project leader, Norbert Untersteiner, and chronicles the life of the team as they built their camp and set up experiments. Station Alpha drifted in an area of the Arctic ocean located 500 km north of Barrow, Alaska USA from April 1957 to November 1958; the film covers this entire time period. The file is available for download in .mp4 format via FTP.
Reduced Resolution Geophysical Product for Ocean, Land and Atmosphere
The Medium Resolution Imaging Spectrometer (MERIS) is one of 10 sensors deployed in March of 2002 on board the polar-orbiting Envisat-1 environmental research satellite by the European Space Agency (ESA). The MERIS instrument is a moderate-resolution wide field-of-view push-broom imaging spectroradiometer capable of sensing in the 390 nm to 1040 nm spectral range. Being a programmable instrument, it had the unique capability of selectively adjusting the width and location of its 15 bands through ground command. The instrument has a 68.5-degree field of view and a swath width of 1150 meters, providing a global coverage every 3 days at 300 m resolution. Communication with the Envisat-1 satellite was lost suddenly on the 8th of April, 2012, just weeks after celebrating its 10th year in orbit. All attempts to re-establish contact were unsuccessful, and the end of the mission was declared on May 9th, 2012.The 4th reprocessing cycle, in 2020, has produced both the full-resolution and reduced-resolution L1 and L2 MERIS products. EN1_MDSI_MER_RR__2P is the short-name for the MERIS Level-2 reduced resolution, geophysical product for ocean, land, and atmosphere. This Level-2 product comes in a netCDF4 package that contains both instrument and science measurements, and a Manifest file that provides metadata information describing the product. Each Level-2 product contains 64 measurement files that break down thus: 13 files containing water-leaving reflectance, 13 files containing land surface reflectance and 13 files containing the TOA reflectance (for all bands except those dedicated to measuring atmospheric gas - M11 and M15), and several files containing additional measurements on ocean, land, and atmospheric parameters and annotation.
SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms, Version 2.0
The SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record (IGDR) Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides sea surface height, significant wave height and wind speed measurements from the Poseidon-3C nadir altimeter, a Jason-class dual frequency (Ku/C) altimeter. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The IGDR dataset consists of discrete measurements along the nadir track with sampling resolutions of approximately 6-km and 300-m at 1Hz and 20Hz, respectively. The data were processed using the Medium-accuracy (preliminary) Orbit Ephemeris (MOE) and preliminary values for certain auxiliary data. The IGDR data are distributed as one file per half orbit in netCDF-4 file format with a nominal latency of < 1.5 days.
Rigid fiber transport in a periodic non-homogeneous geophysical turbulent flow
<p>From anthropogenic litter carried by ocean currents to plant stems traveling through the atmosphere, geophysical flows are often seeded with elongated, fiber-like particles. In this study, we used a large-scale laboratory model of a tidal current -- representative of a widespread class of geophysical flows -- to investigate the tumbling motion of long, slender, and floating fibers in the complex turbulence generated by flow interactions with a tidal inlet. Despite the non-stationary, non-homogeneous, and anisotropic nature of this turbulence, we find that long fibers statistically rotate at the same frequency as eddies of similar size, a phenomenon called \textit{scale selection}, which is known to occur in ideal turbulence. Furthermore, we report that the signal of the instantaneous transverse velocity difference between the fiber ends differs significantly from the signal produced by the flow in the fiber surroundings, although the two are statistically equivalent. These observations have twofold implications. On the one hand, they confirm the reliability of using the end-to-end velocity signal of rigid fibers to probe the two-point transverse statistics of the flow, even under realistic conditions: oceanographers could exploit this observation to measure transverse velocity differences through elongated floats in the field, where superdiffusion complicates collecting sufficient data to probe two-point turbulence statistics at a fixed separation effectively. On the other hand, by addressing the dynamics of inertial range particles floating in the coastal zone, these observations are crucial to improving our ability to predict the fate of meso- and macro-litter, a size class currently understudied.</p>
SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data V007
SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection.
NEW HORIZONS GEOLOGY AND GEOPHYSICAL LORRI/MVIC MAPS V1.0
This data set contains derived data products from the New Horizons geology and geophysics science theme team. The products include mosaics, and topographic and bond albedo maps for Pluto and Charon. They are derived from observations taken by the LOng-Range Reconnaissance Imager instrument and the Multispectral Visible Imaging Camera instrument on the New Horizons mission during the Pluto Encounter mission phase. This is VERSION 1.0 of this data set.
SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data V007
SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection.
Submitted for GEOPHYSICS by Zhao et al. (2021)
<p>Under the framework of Biot's poroelasticity, we have theoretically investigated the influences of boundary conditions on the seismic wave dispersion and attenuation in partially saturated rocks. </p>
Geophysical indices input file for TIE-GCM
<p>A GPI_NCFILE input for the thermosphere-ionosphere-electrodynamics general circulation model (TIE-GCM; Richmond et al., 1992; doi: 10.1029/92GL00401).</p> <p>This file provides Daily F10.7, 81-day centered mean of F10.7, and Kp for the time period 1950-01-01 – 2024-04-18.</p> <p><strong>Netcdf file description</strong></p> <p>netcdf gpi_1950001_2024109 {<br>dimensions:<br> ndays = 27137 ;<br> nkp = 8 ;<br>variables:<br> int year_day(ndays) ;<br> year_day:long_name = "4-digit year followed by 3-digit day" ;<br> double f107d(ndays) ;<br> f107d:long_name = "Penticton observed daily 10.7 cm solar flux (sfu)" ;<br> double f107a(ndays) ;<br> f107a:long_name = "Penticton 81-day average 10.7 cm solar flux (sfu)" ;<br> double kp(ndays, nkp) ;<br> kp:long_name = "GFZ 3-hourly Kp index" ;</p> <p>// global attributes:<br> :title = "Geophysical indices input file for TIE-GCM" ;<br> :history = "Created: Wed May 29 16:34:45 2024" ;<br> :yearday_beg = 1950003 ;<br> :yearday_end = 2024107 ;<br> :author = "Timothy Kodikara (DLR.de)" ;<br> :write_source = "make_tiegcm_gpincfile.py, write_gpi_ncfile.py" ;<br> :Kp_source = "Geomagnetic Observatory Niemegk, GFZ German Research Centre for Geosciences [doi.org/10.5880/Kp.0001]" ;<br> :F107_source = "Observed solar flux provided by the Dominion Radio Astrophysical Observatory and Natural Resources Canada [ftp://ftp.seismo.nrcan.gc.ca/spaceweather/solar_flux/daily_flux_values/fluxtable.txt]" ;<br> :info = "When using this file, please cite the source as https://doi.org/10.5281/zenodo.8017409" ;<br>}</p>
Yerrida Basin Geophysical Modeling - Input data and inverted models.
<p>This companion datasets relates to the manuscript "<strong>Integration of geological uncertainty into geophysical inversion by means of local gradient regularization</strong>", by J. Giraud, M. Lindsay, V. Ogarko, M. Jessell, R. Martin and E. Pakyuz-Charrier, submitted to Solid Earth. The archive contains the input and output geophysical data, starting and inverted models, probabilistic geological model and conditioning volume derived from the calculation of Shannon's entropy. </p>
Geophysical signal processing
<p>Dear,</p> <p>This code package is an example to show the process of Geophysical electromagnetic signal.</p> <p>The above codes have been successfully run on MATLAB R2020a.</p> <p>The whole folder includes code and data, with a total of several hundred megabytes. Due to system limitations, you can obtain the license by just submitting the request below, and then downloading it. Thank you very much.</p> <p> </p> <p>Best Wishes.</p>
Synthetic dataset for the testing of an MT-Mag geophysical integration workflow
<p>This datasets is related 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, Gerhard Visser, Mark D. Lindsay, Vitaliy Ogarko, and Mark W. Jessell, intended for publication in Solid Earth. </p> <p>It is organised as follows. <br> <br> MT FOLDER<br> model subfolder: contains the synthetic resistivity model, 2 formats available:<br> - ModEM format (.mod)<br> - WinGLink format (.out)<br> <br> responses subfolder: contains the synthetic model responses, 2 formats available:<br> - ModEM format (.dat): This data has not been perturbed by synthetic noise. <br> - EDI format (.edi): This data has been perturbed by 5% Gaussian noise, this is the data used in the synthetic part of the study.<br> <br> coordinates of the synthetic MT sites with respect to the model: coordinates.txt <br> - it assumes the origin (0,0) in the center of the synthetic 3D model.<br> <br> Mag FOLDER<br> model subfolder: contains the magnetic susceptibility model at the Tomofast format<br> - mag_voxet_true_model.txt <br> <br> responses subfolder: contains the synthetic model responses, for both the noisy and clean data. <br> - fwd_mag_data_clean.txt<br> - fwd_mag_data_with_noise.txt<br> <br> Rock units FOLDER: contains the file with indices of the rock unit model, in 3D, of the modified Mansfield model. <br> It is of dimensions 128 * 128 * 36. The indices are stored as a column vector. </p>
Geophysical indices input file for TIE-GCM
<p>A GPI_NCFILE input for the thermosphere-ionosphere-electrodynamics general circulation model (TIE-GCM; Richmond et al., 1992; doi: 10.1029/92GL00401).</p> <p>This file provides Daily F10.7, 81-day centered mean of F10.7, and Kp for the time period 1950-01-01 – 2023-01-10.</p> <p><strong>Netcdf file description</strong></p> <p><class 'netCDF4._netCDF4.Dataset'></p> <p>netcdf gpi_1950001_2023010 {<br> dimensions:<br> ndays = 26673 ;<br> nkp = 8 ;<br> variables:<br> int year_day(ndays) ;<br> year_day:long_name = "4-digit year followed by 3-digit day" ;<br> double f107d(ndays) ;<br> f107d:long_name = "Penticton observed daily 10.7 cm solar flux (sfu)" ;<br> double f107a(ndays) ;<br> f107a:long_name = "Penticton 81-day average 10.7 cm solar flux (sfu)" ;<br> double kp(ndays, nkp) ;<br> kp:long_name = "GFZ 3-hourly Kp index" ;</p> <p>// global attributes:<br> :title = "Geophysical indices input file for TIE-GCM" ;<br> :history = "Created: Tue Feb 21 09:56:36 2023" ;<br> :yearday_beg = 1950003 ;<br> :yearday_end = 2023008 ;<br> :author = "Timothy Kodikara (DLR.de)" ;<br> :write_source = "make_tiegcm_gpincfile.py, write_gpi_ncfile.py" ;<br> :Kp_source = "Geomagnetic Observatory Niemegk, GFZ German Research Centre for Geosciences [doi.org/10.5880/Kp.0001]" ;<br> :F107_source = "Observed solar flux provided by the Dominion Radio Astrophysical Observatory and Natural Resources Canada [ftp://ftp.seismo.nrcan.gc.ca/spaceweather/solar_flux/daily_flux_values/fluxtable.txt]" ;<br> :info = "When using this file, please cite the source as https://doi.org/10.5281/zenodo.7660253" ;<br> }</p> <p> </p>
Synthetic geophysical survey using geological modelling from the Yerrida Basin (Western Australia)
<p>This is a companion dataset to the manuscript:</p><p>"Towards geologically reasonable lithological classification from integrated geophysical inverse modelling", by J. Giraud, M. Lindsay, M. Jessell, and V. Ogarko.</p><p>This dataset contains the true model, the geological uncertainty volume constraining inversion, the starting model for inversion, and the inverted model. It also contains the inverted geophysical data. The inverted data were generated using geological modelling from the area and prior petrophysical information (more information in the above-mentioned document). For standalone usage of this dataset, the inversion parameters can be found in the following publication: </p><p>Giraud, J., M. Lindsay, V. Ogarko, M. Jessell, R. Martin, and E. Pakyuz-Charrier, 2019a, Integration of geoscientific uncertainty into geophysical inversion by means of local gradient regularization: Solid Earth, 10, 193–210.</p>
Wang and Zhao submitted for Geophysics 2023
<p>Wang and Zhao submitted for Geophysics 2023</p>
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
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)
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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.