lpdaac-data-resources
This repository is a place to find data user resources that demonstrate how to use LP DAAC tools, services, and data.
Science Score: 54.0%
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✓CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
3 of 9 committers (33.3%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (9.9%) to scientific vocabulary
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Repository
This repository is a place to find data user resources that demonstrate how to use LP DAAC tools, services, and data.
Basic Info
- Host: GitHub
- Owner: nasa
- License: apache-2.0
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://www.earthdata.nasa.gov/centers/lp-daac
- Size: 30.8 MB
Statistics
- Stars: 42
- Watchers: 12
- Forks: 20
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
NASA Land Processes Distributed Active Archive Center (LP DAAC) Data Resources
This repository is a place to find data user resources that demonstrate how to use LP DAAC tools, services, and data.
Content include in this repository are listed below.
| Resource | Type | Summary |
|----|-----|----|
| LP DAAC Data Access Guide | Markdown | Provides an overview of available data access methods and services that can be used to find and access LP DAAC data |
| datadiscoveryCMRAPIrequests.ipynb | Jupyter Notebook | Demonstrates how to search for Earthdata data collections and granules using CMR API and Request Python package|
| earthaccess_introduction.ipynb | Jupyter Notebook | Demonstrates how to search for Earthdata data collections and granules using CMR API and earthaccess Python package|
| findingdatacmr-stac_api.ipynb | Jupyter Notebook | Demonstrates how to search for Earthdata data collections and granules using CMR-STAC API and pystac_client Python package|
| DataDiscoveryCMRAPIBulk_Query.ipynb | Jupyter Notebook | Demonstrates how to search and extract data URLs for an entire collection using Python's asyncio package|
| glance_access.ipynb | Jupyter Notebook | Demonstrates how to search for process and visualize GLanCE30 Land Cover Data using Python|
| createnetrcfile.md | Markdown | Demonstrates how to create a .netrc file in your home directory |
| bulkdownloadusing_curl.md | Markdown | Demonstrates how to bulk download LP DAAC data using Curl from command line |
| bulkdownloadusing_wget.md | Markdown | Demonstrates how to bulk download LP DAAC data using Wget from command line |
| DAACDataDownload.py | Python script | Demonstrates how to download LP DAAC data using a command line executable script |
| Land Product Guide | Markdown | Cheat sheet including a high level overview of tools, resources, and URLs available for land data collections (including Landsat data)|
The other guides, tutorials, how-tos and scripts can be accessed in our mission specific repositories.
| Resource Repository | Summary | Services and Tools | |----|-----|----| |AppEEARS Data Resources |How to use the Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) |Tutorials, AppEEARS API, Direct S3 Access | |ECOSTRESS Data|How to find, access, and work with ECOSTRESS data (The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station)|Tutorials, Scripts, Direct S3 Access| |EMIT Data |How to find, access, and work with EMIT data (Earth Surface Mineral Dust Source Investigation)|Tutorials, Scripts, Direct S3 Access | |GEDI Data |How to find, access, and work with GEDI data (Global Ecosystem Dynamics Investigation)|Tutorials | |HLS Data|How to find, access, and work with HLS data (Harmonized Landsat Sentinel-2)|Tutorials, Scripts, Direct S3 Access| |MODIS-VIIRS Data|How to find, access, and work with MODIS and VIIRS data|Tutorials| |VITALS|How to find and work with EMIT and ECOSTRESS data together |Tutorials|
Contact Info
Email: LPDAAC@usgs.gov
Voice: +1-866-573-3222
Organization: Land Processes Distributed Active Archive Center (LP DAAC)¹
Website: https://www.earthdata.nasa.gov/centers/lp-daac
¹Work performed under USGS contract G15PD00467 for NASA contract NNG14HH33I.
Owner
- Name: NASA
- Login: nasa
- Kind: organization
- Email: nasa-data@lists.arc.nasa.gov
- Location: United States of America
- Website: https://github.com/nasa/nasa.github.io/blob/master/docs/INSTRUCTIONS.md
- Repositories: 495
- Profile: https://github.com/nasa
ReadOpen Data initiative here: https://www.nasa.gov/open/ & Instructions here: https://github.com/nasa/nasa.github.io/blob/master/docs/INSTRUCTIONS.md
Citation (CITATION.cff)
cff-version: 1.2.0
title: LPDAAC Data Resources
message: >-
If you use this collection of resources in your research
we would appreciate an appropriate citation.
type: software
authors:
- given-names: Mahsa
family-names: Jami
affiliation: >-
KBR, Inc., Contractor to the U.S. Geological Survey,
Earth Resources Observation and Science Center,
National Aeronautics and Space Administration Land
Processes Distributed Active Archive Center
orcid: 'https://orcid.org/0000-0002-3594-3004'
- given-names: Erik A
family-names: Bolch
affiliation: >-
KBR, Inc., Contractor to the U.S. Geological Survey,
Earth Resources Observation and Science Center,
National Aeronautics and Space Administration Land
Processes Distributed Active Archive Center
orcid: 'https://orcid.org/0000-0003-2470-4048'
- given-names: Cole K
family-names: Krehbiel
affiliation: >-
National Aeronautics and Space Administration Land
Processes Distributed Active Archive Center,
U.S. Geological Survey, Earth Resources
Observation and Science Center
orcid: 'https://orcid.org/0000-0003-2645-3449'
- given-names: Aaron M
family-names: Friesz
affiliation: >-
KBR, Inc., Contractor to the U.S. Geological Survey,
Earth Resources Observation and Science Center,
National Aeronautics and Space Administration Land
Processes Distributed Active Archive Center
orcid: 'https://orcid.org/0000-0003-4096-3824'
- given-names: Brianna M
family-names: Lind
affiliation: >-
KBR, Inc., Contractor to the U.S. Geological Survey,
Earth Resources Observation and Science Center,
National Aeronautics and Space Administration Land
Processes Distributed Active Archive Center
orcid: 'https://orcid.org/0000-0002-5306-9963'
repository-code: 'https://github.com/nasa/EMIT-Data-Resources'
abstract: >-
This repository contains guides and Jupyter Notebooks to
help users access and work with data archived by NASA's Land
Processes Distributed Active Archive Center (LPDAAC).
license: Apache-2.0
GitHub Events
Total
- Watch event: 16
- Delete event: 18
- Push event: 46
- Pull request review event: 1
- Pull request review comment event: 1
- Pull request event: 23
- Fork event: 9
- Create event: 11
Last Year
- Watch event: 16
- Delete event: 18
- Push event: 46
- Pull request review event: 1
- Pull request review comment event: 1
- Pull request event: 23
- Fork event: 9
- Create event: 11
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Mahsa Jami | 8****0 | 82 |
| Erik Bolch | e****h@c****v | 26 |
| Bri | 1****d | 16 |
| Aaron Friesz | a****z@g****m | 6 |
| Aaron Friesz | a****z@c****v | 6 |
| NRoberts | n****s@c****v | 3 |
| nathan-roberts2 | n****s@u****m | 1 |
| cpkrehbiel | 3****l | 1 |
| TKantz | 1****z | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 1
- Total pull requests: 38
- Average time to close issues: 5 months
- Average time to close pull requests: 11 days
- Total issue authors: 1
- Total pull request authors: 6
- Average comments per issue: 6.0
- Average comments per pull request: 0.11
- Merged pull requests: 37
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 23
- Average time to close issues: N/A
- Average time to close pull requests: 17 days
- Issue authors: 0
- Pull request authors: 4
- Average comments per issue: 0
- Average comments per pull request: 0.17
- Merged pull requests: 22
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- mjami00 (19)
- ebolch (13)
- amfriesz (9)
- BriannaLind (4)
- cpkrehbiel (1)
- nathan-roberts2 (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- markdown *
- pqdm *