NPP Tropical Forest: San Eusebio, Venezuela, 1973-1974, R1

Metadata Updated: August 1, 2018

This data set contains three ASCII data files (.txt format), one for net primary production (NPP) component data and two for climate data. The NPP studies were conducted in a tropical montane forest in the Sierra de Merida at San Eusebio (8.62 N 71.35 W) in northwestern Venezuela. The forest is mostly primary in character, with some selective logging having taken place in the past. Biomass, litterfall, and nutrient content of above- and below-ground vegetation and soil were determined in 1973-1974.

Access & Use Information

Public: This dataset is intended for public access and use. License: U.S. Government Work

Downloads & Resources

Dates

Metadata Created Date August 1, 2018
Metadata Updated Date August 1, 2018

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date August 1, 2018
Publisher ORNL_DAAC
Unique Identifier C1000000035-ORNL_DAAC__1
Maintainer
PLEASE CONTACT ORNL DAAC User Services
Maintainer Email
Id {$oid: 55942aa8c63a7fe59b499c3d}
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 c1ab9b0b-af51-4abe-afad-373bc190d031
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2013-10-17T00:00:00.000Z
Language en-US
License http://www.usa.gov/publicdomain/label/1.0/
Metadata Type geospatial
Data Last Modified 2013-10-17T00:00:00.000Z
Program Code 026:001
Publisher Hierarchy U.S. Government > National Aeronautics and Space Administration > ORNL_DAAC
Source Datajson Identifier True
Source Hash 2275b13901deb2fa6fabbffc63f04fb8c87d8f95
Source Schema Version 1.1
Spatial 8.62 -71.35
Temporal 1915-01-01T00:00:00Z/1996-12-31T00:00:00Z
Category geospatial

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