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15 results for “GLM”
Lake Sunapee Parameter Set and Driver Files for the General Lake Model Aquatic EcoDynamics (GLM AED)
Base driver data and parameter sets required for the General Lake Model - Aquatic EcoDynamics (GLM-AED) model simulation of Lake Sunapee, NH, USA. Additional files needed to run the simulation are the downscaled hourly meteorological data (North American Land Data Assimilation System NLDAS-2, website: disc.gsfc.nasa.gov), observed water temperature profiles and dissolved oxygen at the deep site in the lake (edi.463.1; doi.org/10.6073/pasta/846a36bf6fd704e508511e5f8a2ab3b5), and stream water temperature (edi.466.1; doi.org/10.6073/pasta/12a18d9d178b17d2ac333930f3efca9f).
TC25/Chicago_COMPASS: Present-day heat-related estimates for Chicago community areas [COMPASS-GLM]
<p>Chicago_COMPASS</p> <p>Community area summaries for Chicago and related scripts. Specifics below:</p> <p>Data</p> <p>Each CSV file provides summaries for 77 community areas in Chicago from WRF simulations, satellites, and socioeconomic surveys.</p> <p>The spatial polygons for the community areas and the socioeconomic data were accessed through the Chicago Data Portal: <a href="https://data.cityofchicago.org/">https://data.cityofchicago.org/</a></p> <p>The WRF code is open source and can be found at: <a href="https://github.com/wrf-model/WRF">https://github.com/wrf-model/WRF</a></p> <p>Chicago_control, Chicago_no_urb, and Chicago_no_lake have the maximum and minimum average variables of interest for the control, no urban, and no lake simulations. These are for the BEM/BEP runs with the YSU boundary layer scheme and are used for the main results of the paper.</p> <p>The WRF_BEM_MYJ files are for the BEM/BEP control runs with the MYJ boundary layer scheme. The WRF_Noah files are the control runs using just the Unified Noah land surface model (no urban canopy). The WRF_nested file is for a control run using 3-way nested domains, with the inner domain over Chicago at 1.333 km using BEM/BEP and the YSU boundary layer scheme.</p> <p>Chicago_perc_control, Chicago_perc_no_urb, and Chicago_perc_no_lake have the 95th and 98th percentiles of hourly variables of interest for the control, no urban, and no lake simulations.</p> <p>Chicago_MODIStime_control has the daytime and nighttime variables of interest (corresponding to MODIS Aqua overpass) for the control simulations.</p> <p>en01, en02, en03, and so on represent the ensembles for each model configuration.</p> <p>Chicago_geo_socioeconomic includes the socioeconomic variables (median income per capita and Hardship Index), spatial metrics (area and distance from the coast), and satellite-derived estimates (daytime and nighttime land surface temperature (LST), and normalized different vegetation index (NDVI).</p> <p>Scripts</p> <p>WRF_to_tabular.R converts the WRF simulations into tabular data to be injested into Google Earth Engine.<br> Rasterize.js converts the tabular WRF results into a raster with separate bands for each variable on Google Earth Engine.<br> Summarize.js processeses satellite observations and summarizes the satellite and WRF outputs into regions of interest on Google Earth Engine.</p>
nata1iekat/GLM_invertebrate_traits_v1: GLM_invertebrate_traits_v1
<p>Trait database of aquatic invertebrate traits assigned at the genus level for taxa found in floodplain wetlands of the Wolastoq | Saint John River, New Brunswick, Canada</p>
Data for GLM analysis of "How thermal priming of coral gametes shapes fertilization success"
<p>Data, self-explanatory, used to conduct the GLM analysis and obtain the results presented in the article "How thermal priming of coral gametes shapes fertilization success" by Antoine Puisay, Laetitia Hédouin, Rosanne Pilon, Claire Goiran, and Benoit Pujol, published in Journal of Experimental Biology and Ecology</p>
Subcutaneous Golimumab (GLM) Plus DMARDs for Rheumatoid Arthritis, Followed by Intravenous/Subcutaneous GLM Strategy (P06129 AM2)
ClinicalTrials.gov study NCT00975130. IPD Sharing: YES. Countries: 0. Publications: 4.
Data from GLM analyses of seasonal inversions
<p>see info at: https://github.com/Jcbnunez/Cville-Seasonality-2016-2019</p>
GOES-R PLT Fly's Eye GLM Simulator (FEGS)
The GOES-R PLT Fly’s Eye GLM Simulator (FEGS) dataset consists of lightning flash, lightning pulse, and radiance data collected by the FEGS flown aboard a NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place between March 21 and May 17, 2017 in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). These data files are available in ASCII format with browse imagery available in PNG format.
Golimumab (GLM) Dose Optimisation to Adequate Levels to Achieve Response in Colitis
ClinicalTrials.gov study NCT02687724. IPD Sharing: Not stated. Countries: 1. Publications: 0.
GOES-R PLT Fly's Eye GLM Simulator (FEGS) V1
The GOES-R PLT Fly’s Eye GLM Simulator (FEGS) dataset consists of lightning flash, lightning pulse, and radiance data collected by the FEGS flown aboard a NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place between March 21 and May 17, 2017 in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). These data files are available in ASCII format with browse imagery available in PNG format.
GOES-R Geostationary Lightning Mapper (GLM) Gridded Data Products
The GOES-R Geostationary Lightning Mapper (GLM) Gridded Data Products consist of full disk extent gridded lightning flash data collected by the Geostationary Lightning Mapper (GLM) on board each of the Geostationary Operational Environmental Satellites R-Series (GOES-R). These satellites are a part of the GOES-R series program: a four-satellite series within the National Aeronautics and Space Administration (NASA) and National Oceanic and Atmospheric Association (NOAA) GOES program. These are GOES-16, -17, -18, and -19. Currently, GOES-18 and GOES-19 are the active satellites. GLM is the first operational geostationary optical lightning detector that provides total lightning data (in-cloud, cloud-to-cloud, and cloud-to-ground flashes). While it detects each of these types of lightning, the GLM is unable to distinguish between each type. The GLM GOES L3 dataset files contain gridded lightning flash data over the Western Hemisphere in netCDF-4 format from December 31, 2017 to present as this is an ongoing dataset.
GLM Events and Flashes Data
The GLM Events and Flashes Data consist of the size and number of lightning flashes and events. The data were collected from the Geostationary Lightning Mapper (GLM) instrument on the GOES-16 and GOES-17 satellites and are available as L1b events (raw) and L2 flashes (processed). They are available from March 15, 2021, through March 18, 2021, in netCDF-4 and HDF-5 formats.
Geostationary Lightning Mapper (GLM) Thunder Hour Data Product
The Geostationary Lightning Mapper (GLM) is the first optical lightning detector in geostationary orbit, and GLM sensors operate aboard the National Oceanic and Atmospheric Administration (NOAA) Geostationary Operational Environmental Satellites (GOES R-series: GOES-16, -17, -18, and -19). The first to launch was GOES-16 on November 19, 2016 and it was placed in the GOES-East position. On March 1, 2018 GOES-17 launched and would eventually become operational in the GOES-West position. Since that time, the United States has maintained one satellite in each position. Currently, GOES-18 (west) and GOES-19 (east) are the operational satellites. With these instruments, the combined monthly thunder hour dataset has been created. A thunder hour is an hour during which thunder can be heard at a given location. Thunder hours represent a historical measure of lightning occurrence and a metric of thunderstorm frequency that is comparatively less sensitive to geographic variations in the detection capabilities of a lightning location system. The GLM thunder hour dataset will provide a long-term means of tracking trends in lightning occurrence over the Americas and surrounding oceans. The GLM Combined Monthly Thunder Hour dataset is calculated from lightning detections from 1 January 2019 onward, during which time GLMs are operating from GOES-West and GOES-East positions, providing continuous lightning detection for a broad region from the Aleutian Islands and New Zealand eastward to the western tip of Africa. The data are provided at 0.05° latitude/longitude resolution in netCDF-4 format.
Geostationary Lightning Mapper (GLM) Cluster Integrity, Exception Resolution, and Reclustering Algorithm (CIERRA)
The Geostationary Lightning Mapper (GLM) Cluster Integrity, Exception Resolution, and Reclustering Algorithm (CIERRA) dataset consists of a hierarchy of earth-located lightning radiant energy measures including events, groups, series, flashes, and areas. The GLM CIERRA data addresses the artificial flash termination by the GLM ground system by recombining split flashes and filtering out more non-lightning noise. This provides researchers with a powerful tool to better investigate convective storm and lightning activity with more accurate observations as well as better incorporate spatial extent observations that can be used for aviation meteorology, lightning safety, and other studies. These data are available from January 12, 2017, through March 31, 2023, in netCDF-4 format.
glm large
<p>glm large weights</p>
GOES-R Geostationary Lightning Mapper (GLM) Gridded Data Products V1
The GOES-R Geostationary Lightning Mapper (GLM) Gridded Data Products consist of full disk extent gridded lightning flash data collected by the Geostationary Lightning Mapper (GLM) onboard the Geostationary Operational Environmental Satellite 16 and 17 (GOES-16 and GOES-17). These satellites are a part of the GOES-R series program: a four satellite series within the National Aeronautics and Space Administration (NASA) and National Oceanic and Atmospheric Association (NOAA) GOES program. GLM is the first operational geostationary optical lightning detector that provides total lightning data (in-cloud, cloud-to-cloud, and cloud-to-ground flashes). While it detects each of these types of lightning, the GLM is unable to distinguish between each type. The GLM GOES L3 dataset files contain gridded lightning flash data over the Western Hemisphere in netCDF-4 format from December 31, 2017 to present as this is an ongoing dataset.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.