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This is a Non-Federal dataset covered by different Terms of Use than Data.gov.

North Alabama Lightning Mapping Array (LMA) Raw Data V1

Metadata Updated: February 22, 2025

The North Alabama Lightning Mapping Array (LMA) Raw Data are used to validate the Lightning Imaging Sensor (LIS) on the International Space Station (ISS), the Geostationary Lightning Mapper (GLM) instrument, and other current and future lightning measurements. These data are also used in convective storm process studies, including but not limited to validation of convection-resolving models that predict lightning. These NALMA data files are available from December 17, 2019 and are ongoing in ASCII format.

Access & Use Information

Public: This dataset is intended for public access and use. Non-Federal: This dataset is covered by different Terms of Use than Data.gov. License: No license information was provided.

Downloads & Resources

Dates

Metadata Created Date February 22, 2025
Metadata Updated Date February 22, 2025

Metadata Source

Harvested from nasa test json

Additional Metadata

Resource Type Dataset
Metadata Created Date February 22, 2025
Metadata Updated Date February 22, 2025
Publisher NASA/MSFC/GHRC
Maintainer
Identifier C2023051335-GHRC_DAAC
Data First Published 2021-02-17
Language en-US
Data Last Modified 2025-02-19
Category NOT APPLICABLE, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id f1890ff1-b79a-4105-8ff4-e98482e03aa1
Harvest Source Id a73e0c30-4684-40ef-908e-d22e9e9e5f86
Harvest Source Title nasa test json
Homepage URL https://doi.org/10.5067/NALMA/DATA301
Metadata Type geospatial
Old Spatial -88.6453 32.7246 -84.6453 36.7246
Program Code 026:001
Source Datajson Identifier True
Source Hash eb31fe9ece19a9298d8e9fcd45c80df3ef7b639139573f0c42d07663659f63e8
Source Schema Version 1.1
Spatial
Temporal 2018-12-17T00:00:00Z/2022-05-03T00:00:00Z

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