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Data from: Plant Tissue Characteristics of Miscanthus x giganteus v2

Metadata Updated: March 30, 2024

Note: This version supersedes version 1: https://doi.org/10.15482/USDA.ADC/1523127 Changes to data in version 2: Values of latitude and longitude were reversed in version 1 and have been corrected. Columns containing latitude and longitude in decimal degrees have been added. A sentence describing the sampling has been edited in the metadata tab. Description: As part of a study identifying relationships between environmental variables and insect distributions within a bioenergy crop, giant miscanthus (Miscanthus x giganteus) samples were collected in October 2016 at 33 locations within a field in southeast Georgia, USA. At each location, one plant sample was collected every meter along a 5-m transect, resulting in 5 replicates per sampling location. The plant samples were separated into leaves and stems, air-dried, weighed, and ground. This dataset describes the chemical composition of giant miscanthus leaves and stems including the total carbon (TC) and nitrogen (TN) content, total macro- and micronutrients (aluminum, arsenic, boron, calcium, cadmium, cobalt, chromium, copper, iron, potassium, magnesium, manganese, molybdenum, sodium, nickel, phosphorus, lead, sulfur, selenium, silicon, titanium, vanadium, and zinc), and the characterization of the water extractable organic matter (WEOM). The TC and TN content was determined directly on ground plant samples using a Vario EL III combustion C-N analyzer. For the quantitation of the total macro- and micronutrient content, the plant material was first digested in trace metal grade nitric acid in a microwave digestion system. The digestate was then analyzed using Inductively Coupled Plasma with Optical Emission Spectroscopy (ICP-OES) on a ThermoFisher Scientific iCAP 7400 Duo. For the characterization of the leaf and stem WEOM, the plant material was extracted in water and the extract was filtered and analyzed using UV-Visible and Fluorescence Excitation Emission Matrix (EEM) spectroscopy on a Horiba Scientific Aqualog spectrofluorometer. The optical data obtained from the EEM scans were used to calculate several indices representative of WEOM quality including the absorbance at 254nm, the absorbance ratios at 254 to 365nm and 280 to 465nm, the slope ratio, the fluorescence index, the humification index, the biological index, and the freshness index. The fluorescence intensity of 5 common fluorescence peaks (peaks A, C, M, B, and T) is also reported. This dataset includes an analytically diverse set of measurements that describe the chemical composition of giant miscanthus leaf and stem tissues. This dataset will be useful for those wishing to identify relationships between the chemical composition of giant miscanthus and pest distributions within a bioenergy crop field. Resources in this dataset:Resource Title: Data from: Plant tissue characteristics of Miscanthus x giganteus. File Name: OF_Miscanthus_allplant_data_r.xlsxResource Description: As part of a study identifying relationships between environmental variables and insect distributions within a bioenergy crop, giant miscanthus (Miscanthus x giganteus) samples were collected in October 2016 at 33 locations within a field in southeast Georgia, USA. At each location, one plant sample was collected every 3-4 meters along a 15-m transect, resulting in 5 replicates per sampling location. The plant samples were separated into leaves and stems, air-dried, and ground. The chemical composition of the ground material was assessed by measuring total carbon and nitrogen, total macro- and micronutrients (aluminum, arsenic, boron, calcium, cadmium, cobalt, chromium, copper, iron, potassium, magnesium, manganese, molybdenum, sodium, nickel, phosphorus, lead, sulfur, selenium, silicon, titanium, vanadium, and zinc) using Inductively Coupled Plasma with Optical Emission Spectroscopy (ICP-OES), and optical characteristics of the water extractable organic matter using UV-Visible and Fluorescence Excitation Emission Matrix (EEM) spectroscopy. This dataset will be useful to identify relationships between the chemical composition of giant miscanthus tissues and pest distributions within a bioenergy crop field. Resource Title: Data from: Plant tissue characteristics of Miscanthus x giganteus. File Name: OF_Miscanthus_allplant_data_r.xmlResource Title: Metadata for "Data from: Plant tissue characteristics of Miscanthus x giganteus". File Name: OF_Miscanthus_allplant_r_metadata.pdfResource Title: Metadata for "Data from: Plant tissue characteristics of Miscanthus x giganteus". File Name: OF_Miscanthus_allplant_r_metadata.txt

Access & Use Information

Public: This dataset is intended for public access and use. License: Creative Commons CCZero

Downloads & Resources

Dates

Metadata Created Date March 30, 2024
Metadata Updated Date March 30, 2024

Metadata Source

Harvested from USDA JSON

Additional Metadata

Resource Type Dataset
Metadata Created Date March 30, 2024
Metadata Updated Date March 30, 2024
Publisher Agricultural Research Service
Maintainer
Identifier 10.15482/USDA.ADC/1524724
Data Last Modified 2024-01-29
Public Access Level public
Bureau Code 005:18
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 7e8f9dc2-31f1-48ab-ab54-bad517e39598
Harvest Source Id d3fafa34-0cb9-48f1-ab1d-5b5fdc783806
Harvest Source Title USDA JSON
License https://creativecommons.org/publicdomain/zero/1.0/
Old Spatial {"type": "Polygon", "coordinates": -83.59664440155, 31.431404942571, -83.59664440155, 31.448906791388, -83.578104972839, 31.448906791388, -83.578104972839, 31.431404942571, -83.59664440155, 31.431404942571}
Program Code 005:040
Source Datajson Identifier True
Source Hash 45e0df2cd82a36037d40886dc8db3ed7dd82e91fa8a4e3e0e9843bbd11e6188e
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -83.59664440155, 31.431404942571, -83.59664440155, 31.448906791388, -83.578104972839, 31.448906791388, -83.578104972839, 31.431404942571, -83.59664440155, 31.431404942571}

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