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Chemical characteristics of dissolved organic matter in an oligotrophic subtropical wetland/estuary ecosystem, Everglades National Park (FCE), South Florida from December 2001 to January 2002

General Information
Data Package:
Local Identifier:knb-lter-fce.1103.4
Title:Chemical characteristics of dissolved organic matter in an oligotrophic subtropical wetland/estuary ecosystem, Everglades National Park (FCE), South Florida from December 2001 to January 2002
Alternate Identifier:ST_ND_Jaffe_002
Alternate Identifier:DOI PLACE HOLDER
Abstract:

The objective of this study was to investigate in detail the molecular characteristics of DOM in a sub-tropical, oligotrophic aquatic environment, namely the Florida coastal Everglades, along a freshwater wetland, mangrove fringe to estuarine transect. For this purpose, surface waters from five sites along Taylor Slough ranging from freshwater marsh to mangrove ecotone environments, as well as three sites within the Florida Bay estuary were collected for analyses. Fluorescence properties of DOM were measured for a quick assessment of DOM quality. Ultrafiltered DOM samples (UDOM; less than 0.7 um, greater than 1000 Da) were concentrated and freeze dried for the determination of bulk C composition, lignin-phenol concentration, and neutral sugar composition. These molecular characteristics were investigated by 13C-NMR spectroscopy, TMAH thermochemolysis, and hydrolysis with trifluoroacetic acid (TFA), respectively. Furthermore, UDOM samples were classified by cluster analysis based on their pyrolysis products obtained via flash pyrolysis-GC/MS.

Publication Date:2024-02-19
For more information:
Visit: DOI PLACE HOLDER

Time Period
Begin:
2001-12-06
End:
2002-01-28

People and Organizations
Contact:Jaffe, Rudolf (Florida Coastal Everglades LTER Program, Project Collaborator) [  email ]
Contact:Information Manager (Florida Coastal Everglades LTER) [  email ]
Creator:Jaffe, Rudolf (Florida Coastal Everglades LTER Program, Lead Principal Investigator)
Associate:Maie, Nagamitsu (Southeast Environmental Research Center, Post Doctorate)
Associate:Jaffe', Rudolf (Southeast Environmental Research Center, Lead Principal Investigator)
Associate:Cloutier, Joshua (Southeast Environmental Research Center, Graduate Student)
Associate:Xu, Yunping (Southeast Environmental Research Center, Graduate Student)
Associate:Gao, Min (Southeast Environmental Research Center, Graduate Student)
Associate:Pisani, Oliva (Southeast Environmental Research Center, Undergaraduate Student)
Associate:Pisani, Alberto (Southeast Environmental Research Center, Undergraduate Student)
Associate:Calvo, Michelle (Southeast Environmental Research Center, Undergraduate Student)

Data Entities
Data Table Name:
ST_ND_Jaffe_002
Description:
Chemical characteristics of dissolved organic matter in an oligotrophic subtropical wetland/estuarine ecosystem, Everglades National Park, South Florida
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-fce/1103/4/14a7f83be82aa1eca56961d3e1bbd745
Name:ST_ND_Jaffe_002
Description:Chemical characteristics of dissolved organic matter in an oligotrophic subtropical wetland/estuarine ecosystem, Everglades National Park, South Florida
Number of Records:8
Number of Columns:37

Table Structure
Object Name:ST_ND_Jaffe_002.csv
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Table Column Descriptions
 SITENAMEDateDissolved organic carbonFluorescence IndexMaximum WavelengthMaximum Intensity%285Carbon to Nitrogen ratioSalinity% alkyl carbon% O-alkyl carbon% aromatic carbon% carbonyl carbonO-alkyl to alkyl carbon ratioAromaticityArabinoseRiboseXyloseRhamnoseFucoseMannoseGalactoseGlucoseNeutral sugarsBenzaldehyde,3,4-dimethoxy-Benzene,1,2-dimethoxy-4-(1-propenyl)-Ethanone,1-(3,4-dimethoxyphenyl)-Benzoic Acid,3,4-dimethoxy-methyl ester-Benzenepropanoic acid,3,4-dimethoxy-methyl ester-Ethanone,1-(3,4,5)-trimethoxyphenyl-Benzoic Acid,3,4,5-trimethoxy-methyl ester-Benzaldehyde,3,4,5-trimethoxy-Phenol,2-methoxy-Benzene,1,2-dimethoxy-3,4-dimethoxytoluene1,2,3-trimethoxybenzeneBenzene,1,2,3-trimethoxy-5-methyl-
Column Name:SITENAME  
Date  
DOC  
FI  
Max_WL  
Max_I  
%285  
C/N  
Salinity  
%Alkyl_C  
%O_alkyl C  
%Aromatic_C  
%carbonyl_C  
AlkylC/O_alkylC  
Aromaticity  
Arabinose  
Ribose  
Xylose  
Rhamnose  
Fucose  
Mannose  
Galactose  
Glucose  
Neutral _Sugars  
Benzaldehyde, 3,4-dimethoxy-  
Benzene, 1,2-dimethoxy-4-(1-propenyl)-  
Ethanone, 1-(3,4-dimethoxyphenyl)-  
Benzoic acid, 3,4-dimethoxy-, methyl ester  
Benzenepropanoic acid, 3,4-dimethoxy-, methyl ester  
Ethanone, 1-(3,4,5)-trimethoxyphenyl-  
Benzoic acid, 3,4,5-trimethoxy-, methyl ester  
Benzaldehyde, 3,4,5-trimethoxy-  
Phenol 2-methoxy-  
Benzene, 1,2-dimethoxy-  
3,4-Dimethoxytoluene  
1,2,3-trimethoxybenzene  
Benzene, 1,2,3-trimethoxy-5-methyl-  
Definition:Name of plant biomassCollection dateTotal dissolved organic carbon concentrationRatio of emission intensities at 450 and 500 nm at a fixed excitation wavelength of 370 nm.Emission wavelength that gives maximum emission intensity at a fixed excitation of 313 nmEmission intensity of maximum emission wavelength at a fixed excitation of 313 nm.Obtained from synchronous fluorescence spectrum at a constant offset of 30 nm (excitation wavelengths = 285, 350, 385, 460 nm). Percentage of the first peak intensity (285 nm).Carbon to Nitrogen ratioSalinityRelative percentage of alkyl carbon defined by 13C NMRRelative percentage of O-alkyl carbon as defined by 13C NMRRelative percentage of aromatic carbon as defined by 13C NMRRelative percentage of carbonyl carbon as defined by 13C NMRAmount of alkyl carbon divided by the amount of O-alkyl carbonPercentage of aromatic carbonPercentage of ArabinosePercentage of RibosePercentage of XylosePercentage of RhamnosePercentage of FucosePercentage of MannosePercentage of GalactosePercentage of GlucoseNeutral sugar concentrationCompound concentration as determined by thermochemolysis with TMAHCompound concentration as determined by thermochemolysis with TMAHCompound concentration as determined by thermochemolysis with TMAHCompound concentration as determined by thermochemolysis with TMAHCompound concentration as determined by thermochemolysis with TMAHCompound concentration as determined by thermochemolysis with TMAHCompound concentration as determined by thermochemolysis with TMAHCompound concentration as determined by thermochemolysis with TMAHCompound concentration as determined by thermochemolysis with TMAHCompound concentration as determined by thermochemolysis with TMAHCompound concentration as determined by thermochemolysis with TMAHCompound concentration as determined by thermochemolysis with TMAHCompound concentration as determined by thermochemolysis with TMAH
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Measurement Type:nominaldateTimeratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratio
Measurement Values Domain:
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Accuracy Report:                                                                          
Accuracy Assessment:                                                                          
Coverage:                                                                          
Methods:       Method Info     Method Info               Method Info                                            

Data Package Usage Rights

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Keywords

By Thesaurus:
LTER Core Research Areasorganic matter
LTER Keyword ThesaurusFCE, Florida Coastal Everglades LTER, ecological research, long-term monitoring, Everglades National Park, DOM Characteristics, Taylor Slough, Shark River Slough, Florida Bay, Ultrafiltered DOM, lignin-phenol concentration, neutral sugar composition, 13C-NMR spectroscopy, TMAH thermochemolysis, flash pyrolysis-gas chromatography/mass spectroscopy, dissolved organic carbon, emissions, aromaticity, acidic, carbon, nitrogen, freshwater, fluorescence, organisms

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

DOC concentrations were analyzed using a high temperature catalytic combustion method on a Shimadzu TOC-5000 total organic carbon analyzer. Samples (4 ml) were acidified with 10ul of conc. HCl and sparged for 5 min with nitrogen (150 ml min-1) to remove inorganic carbon. The mean of three to six injections was reported for each sample. Fluorescence spectra were recorded on a Perkin Elmer LS 50B spectrometer equipped with a 150-W Xenon arc lamp as the light source. The emission monochromator was scanned from 250 to 550 nm with excitation at 313 and 370 nm (Donard et al. 1989; De Souza Sierra et al. 1994). Further, synchronous excitation-emission fluorescence spectra at a constant offset value between emission and excitation wavelength of 30 nm were measured from 250 to 550 nm (Lu et al. 2003; Jaffe et al. 2004). Both excitation and emission slits were set at 10 nm. Absorbance of the DOM solution was scanned from 250 to 550 nm for the correction of inner-filter effects on a Shimadzu UV-2101PC UV-visible spectrophotometer. The inner-filter effects were corrected for all the spectra following the procedure described by McKnight et al. (2001). Spectra were not corrected for instrumental response. Milli-Q water was used as a blank to background substract water Raman scatter peaks. The fluorescence intensities were expressed in quinine sulfate units (QSU); 1 QSU = 1 ug L-1 of quinine sulfate monohydrate in a 0.05 mol L-1 H2SO4 solution at excitation/emission (Ex/Em) =350/450 nm (Wu and Tanoue 2001). Four indices were used in this study: (1) maximum intensity (Max I); maximum fluorescence emission intensity with an excitation of 313 nm (Donard et al. 1989); (2) maximum wavelength (Max WL); the wavelength that gives the Intmax (Donard et al. 1989); (3) fluorescence index (FI); the ratio of emission intensities at 450 and 500 nm with an excitation of 370 nm (f450/f500) (Battin 1998; McKnight et al. 2001); (4) %285, calculated from a synchronous spectrum. %285 = Ex285 / (Ex285 + Ex350 + Ex385 + Ex460) x 100, where Ex285, Ex350, Ex385, Ex460 are the emission intensities at the respective excitation wavelengths (nm) noted in subscript (Lu et al. 2003). Total organic C content was measured on a Carlo Erba NA 1500 Nitrogen/Carbon Analyzer at 1050 degrees C, hippuric acid as a standard. To remove carbonate, two to five mg of powered sample was weighed into a silver capsule and exposed to hydrochloric acid vapor for 4 h, followed by drying under vacuum to eliminate any remaining hydrochloric acid (Hedges and Stern 1984). Then, the capsules were closed for analysis. Solid state 13C NMR spectra were obtained at a 13C resonance frequency of 50.3 MHz on a Bruker ASX200 NMR spectrometer equipped with a commercial 7 mm cross polarization magic angle spinning (CPMAS) probe using a standard CPMAS pulse sequence. 13C chemical shifts are expressed with respect to tetramethylsilane by using the carbonyl carbon of glycine (176.48 ppm) as an external reference. Other analytical conditions were as follows: rotation frequency, 4.5 kHz; contact time, 1 ms; recycle delay, 2 s; scans accumulated, 3000-20000; spectral width, 25 kHz; filter frequency, 32 kHz; Lorentzian line-broadening, 120 Hz. NMR spectra were divided into four regions according to chemical shifts as follows: 0-45 ppm (alkyl C), 45-110 ppm (O-alkyl C), 110-160 ppm (aromatic C), 160-210 ppm (carbonyl C) (Kogel-Knabner 1997). The first order spinning sidebands (SSBs) of aromatic and carbonyl signals (220 and 260 ppm, respectively) were corrected if necessary, according to Knicker and Skjemstad (2000). Sugar composition analysis was performed according to Amelung et al. (1996). Briefly, ca. 10 mg of powdered UDOM sample was mixed with an internal standard (50 ug myo-inositol) and 10 ml of 4 mol L-1 trifluoroacetic acid (TFA) and hydrolyzed at 105 degrees C for 4 h. Following filtration with a pre-combusted GF/F glass fiber filter, the solution was rotary-evaporated to remove TFA. The sample was then reconstituted with 2 ml water and passed through Amberlite XAD-4, and Dowex 50 W X 8 columns, successively. The sample was freeze-dried, and derivatized with 400 ul bis-(trimethylsilyl)-trifluoroacetamide (BSTFA) at 75 degrees C for 5 min. Analysis was performed using a Hewlett Packard 6890 GC-MS series gas chromatograph coupled to a 5973 quadrupole mass selective detector. One ul of the solution was injected into a JandW DB1MS capillary column. Quantification was based on the comparison of the area on total ion chromatogram with known concentration of standard materials (arabinose, ribose, xylose, rhamnose, fucose, mannose, galactose, and glucose) that were processed in the same way as the samples. Initial oven temperature was set at 160 degrees C, held for 0.5 min, ramped at 8 degrees C min-1 to 185 degrees C, followed by 3 degrees C min-1 to 191 degrees C, by 0.5 degrees C min-1 to 195 degrees C, and thereafter by 10 degrees C min-1 to 250 degrees C and held for 5 min. Mass spectra were recorded under electron impact ionisation conditions (70 eV) at 1 scan s-1 in the m/z = 50-500 mass range. Detection limit was around 100 ppm in UDOM. The TMAH thermochemolysis was performed according to Hatcher et al (1995). Briefly, 4 to 10 mg C powdered UDOM sample was placed in a 5-ml glass ampoule and 200 ul of solution consisting of 25% TMAH in methanol and 200 ul of an internal standard, n-eicosane (50 ug ml-1 in methanol) were added. The methanol was evaporated under vacuum, and the ampoule was flame sealed and placed in a gas chromatographic oven at 250 degrees C for 30 min. After cooling, the ampoule was cracked open, and the inner glass surface was washed with 1 ml of methylene chloride three times, and concentrated to approximately 200 ul under a gentle stream of nitrogen. Analysis of this extract was performed on a Hewlett Packard 6890 GC-MS series gas chromatograph (GC) coupled to a 5973 mass selective detector. One ul of the solution was injected into a DB5MS (5% phenyl, 95% methyl silicone; 30 m length,0.25 mm i.d.,0.25 um film thickness) capillary column. Helium served as the carrier gas. The column temperature was programmed as follows: initial temperature at 40 degrees C, ramped at 10 degrees C min-1 to 120 degrees C, followed by 3 degrees C min-1 to 200 degrees C, and thereafter by 4 degrees C min-1 to 300 degrees C (Mannino and Harvey 2000). Mass spectra were recorded under electron impact ionisation conditions (70 eV) at 1 scan s-1 in the m/z = 50-500 mass range. The detection limit was 1 ng for the eicosane standard. The assignment of peaks was based on the comparison of mass spectra with the spectral library (NIST 98, Gaithersburg, MD, USA) and/or mass spectral interpretation. A response factor for phenolic compounds to eicosane was calculated by averaging the relative response of methylation products of vanillin, vanillic acid, and acetovanilone to that of the internal standard. The concentration of phenolic compounds was estimated by comparing the area with that of the eicosane standard. Py-GC/MS analyses were on UDOM samples. Briefly, UDOM samples (ca. 5 mg) were pyrolyzed at 650 degrees C for 20 s in a helium atmosphere using a pyroprobe 1500 pyrolyzer. Separation of pyrolysis products was carried out on a DB5MS fused-silica column (30 m length, 0.25 mm i.d., 0.25 mm film thickness) at a split ratio of 1:75 under helium atmosphere. The oven was connected to the split/splitless injection port of a Hewlett Packard 6890 GC coupled to a HP 5973 mass spectrometer. The oven temperature program was as follows: initial temperature was held at 40 degrees C for 2 min, ramped at 7 degrees C min-1 to 300 degrees C where it was held for 15 min. The assignment of peaks was based on the comparison of mass spectra with the spectral library (NIST 98, Gaithersburg, MD, USA) and/or mass spectral interpretation. Other analytical conditions were identical with those of TMAH thermochemolysis described above. Based on the relative abundance of individually identified pyrolysis products (approximately 100 compounds; peak area of individual compound to total peak area of identified compounds in pyrogram) a hierarchical cluster analysis (HCA) was performed using an agglomerative method with SPSS version 11.0.1 software for the interpretation of the multivariate pyrolysis data set.

References:

Amelung, W 1996. Determination of neutral and acid sugars in soil by capillary gas-liquid chromatography after trifluoroacetic acid hydrolysis. Soil Biol. Biochem., 28: 1631-1639.

Battin, T J 1998. Dissolved organic materials and its optical properties in a blackwater tributary of the upper Orinoco River, Venezuela. Organic Geochemistry, 28: 561-569.

Dai, M 1998. Evaluation of two cross-flow ultrafiltration membranes for isolating marine organic colloids. Marine Chemistry, 62: 117-136.

De Souza Sierra, M M 1994. Fluorescence spectroscopy of coastal and marine waters. Marine Chemistry, 47: 127-144.

Donard, O F X 1989. High-sensitivity fluorescence spectroscopy of Mediterranean waters using a conventional or a pulsed laser excitation source. Marine Chemistry, 27: 117-136.

Hatcher, P G 1995. Comparison of two thermochemolytic methods for the analysis of lignin in decomposing gymnosperm wood: the CuO oxidation method and the method of thermochemolysis with tetramethylammonium hydroxide (TMAH). Organic Geochemistry, 23: 881-888.

Hedges, J I 1984. Carbon and nitrogen determinations of carbonate-containing solids. Limnology and Oceanography, 29: 657-663.

Jaffe, R 2004. Source characterization of dissolved organic matter in estuaries of the Florida Everglades by fluorescence analysis . Marine Chemistry, 84: 195-210.

Knicker, H 2000. Nature of organic carbon and nitrogen in physically protected organic matter of some Australian soils as revealed by solid-state 13C and 15N NMR spectroscopy. Australian J. Soil Res., 38: 113-127.

Kogel-Knaber, I 1997. 13C and 15N NMR spectroscopy as a tool in soil organic matter studies. Geoderma, 80: 243-270.

Lu, X Q 2003. Molecular characterization of dissolved organic matter in freshwater wetlands of the Florida Everglades. Water Research, 37: 2599-2606.

Mannino, A 2000. Terrigenous dissolved organic matter along an estuarine gradient and its flux to the coastal ocean. Organic Geochemistry, 31: 1611-1625.

McKnight, D M 2001. Spectrofluorometric characterization of dissolved organic matter for indication of precursor organic material and aromaticity. Limnology and Oceanography, 46: 38-48.

Wu, F 2001. Molecular mass distribution and fluorescence characteristics of dissolved organic ligands for copper (II) in Lake Biwa, Japan. Organic Geochemistry, 32: 11-20.

Instrument(s):Whatman GF/F glass fiber filters (Whatman International Ltd. Maidstone, England), Nalgene polyethylene bottles (25-L and 30-mL) (Nalge Nunc International, Rochester, NY), Pellicon 2 Mini tangential ultrafiltration system, Shimadzu TOC-5000 total organic carbon analyzer (Shimadzu, Kyoto, Japan), Perkin Elmer LS 50B Spectrometer (Perkin Elmer, Wellesly, MA, USA), Shimadzu UV-2101PC UV-visible Spectrophotometer (Shimadzu, Kyoto, Japan), Carlo Erba NA 1500 Nitrogen/Carbon Analyzer (Carlo Erba, Milan, Italy), Bruker ASX200 NMR Spectrometer (Bruker, Rheinstetten, Germany), Hewlett Packard 6890 GC-MS series gas chromatograph coupled to a 5973 quadrupole mass selective detector (Hewlett-Packard, Avondale, PA, USA), Pyroprobe 1500 pyrolizer (Chemical Data Systems, Oxford, PA, USA), Hewlett-Packard 6890 GC coupled to a HP5973 mass spectrometer.
Sampling Area and Study Extent
Sampling Description:

Surface water samples were collected in 25-L white low-density polyethylene Carboy bottles during the early part of the dry season (from 05 Dec 2001 to 28 Jan 2002). The bottles were cleaned by soaking in 0.5 mol L-1 HCl followed by 0.1 mol L-1 NaOH for 24 h each. Water samples were filtered through pre-combusted (470 degrees C for 4 hours) 0.7 um GF/F glass fiber filters, followed by concentration using a Pellicon 2 Mini tangential flow ultrafiltration (TFF) system equipped with a nominal 1000 Da molecular weight cut-off regenerated cellulose membrane (Dai et al. 1998). The water samples were concentrated to 100 ml at an inlet pressure of 10 psi, and an outlet pressure of 8 psi. For water samples collected from Florida Bay (sites 9-11), diafiltration was conducted as follows: One liter of Milli-Q water (Millipore) was added to the concentrated sample and then re-concentrated to 100 ml. This process was repeated a total of three times. The concentrated samples were freeze-dried and powdered with an agate mill. Water samples for fluorescence analysis were collected separately in 30 ml brown polyethylene bottles, stored on ice, and transported to the laboratory. The water samples were filtered through pre-combusted (470 degrees C for 4 hours) Whatman GF/F glass fiber filters prior to analysis.Surface water samples were collected in 25-L white low-density polyethylene Carboy bottles during the early part of the dry season (from 05 Dec 2001 to 28 Jan 2002). The bottles were cleaned by soaking in 0.5 mol L-1 HCl followed by 0.1 mol L-1 NaOH for 24 h each. Water samples were filtered through pre-combusted (470 degrees C for 4 hours) 0.7 um GF/F glass fiber filters, followed by concentration using a Pellicon 2 Mini tangential flow ultrafiltration (TFF) system equipped with a nominal 1000 Da molecular weight cut-off regenerated cellulose membrane (Dai et al. 1998). The water samples were concentrated to 100 ml at an inlet pressure of 10 psi, and an outlet pressure of 8 psi. For water samples collected from Florida Bay (sites 9-11), diafiltration was conducted as follows: One liter of Milli-Q water (Millipore) was added to the concentrated sample and then re-concentrated to 100 ml. This process was repeated a total of three times. The concentrated samples were freeze-dried and powdered with an agate mill. Water samples for fluorescence analysis were collected separately in 30 ml brown polyethylene bottles, stored on ice, and transported to the laboratory. The water samples were filtered through pre-combusted (470 degrees C for 4 hours) Whatman GF/F glass fiber filters prior to analysis.

Sampling Area And Frequency:

The Study Extent of this dataset includes water samples collected from the Everglades National Park, South Florida.

Quality Control
Quality Control Step 1: 
Description:

Standards, data was graphed

These methods, instrumentation, and/or protocols apply to the data table ST_ND_Jaffe_002:

These methods, instrumentation and/or protocols apply to the data table column: Fluorescence Index (FI)
Methods and protocols used in the collection of this data package
Description:

Calculations: FI = emission intensity 450/500 nm

These methods, instrumentation and/or protocols apply to the data table column: %285 (%285)
Methods and protocols used in the collection of this data package
Description:

Calculations: %285 = emission intensity 285/(285+350+385+460)*100

These methods, instrumentation and/or protocols apply to the data table column: Aromaticity (Aromaticity)
Methods and protocols used in the collection of this data package
Description:

Calculations: %aromatic C/(%alkylC+%O-alkylC+%aromaticC)x100

People and Organizations

Publishers:
Organization:Environmental Data Initiative
Email Address:
info@edirepository.org
Web Address:
https://edirepository.org
Id:https://ror.org/0330j0z60
Creators:
Individual:Dr. Rudolf Jaffe
Organization:Florida Coastal Everglades LTER Program
Position:Lead Principal Investigator
Address:
Florida International University,
University Park,
Miami, Florida 33199 USA
Phone:
305-348-2456 (voice)
Phone:
305-348-4096 (facsimile)
Email Address:
jaffer@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Id:https://orcid.org/0000-0001-6153-248X
Contacts:
Individual: Rudolf Jaffe
Organization:Florida Coastal Everglades LTER Program
Position:Project Collaborator
Address:
Florida International University,
University Park,
OE 148,
Miami, Florida 33199 USA
Phone:
305-348-2456 (voice)
Phone:
305-348-4096 (fax)
Email Address:
jaffer@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Organization:Florida Coastal Everglades LTER
Position:Information Manager
Address:
Florida International University,
11200 SW 8th Street, OE 148,
Miami, FL 33199 USA
Email Address:
fcelter@fiu.edu
Web Address:
https://fcelter.fiu.edu
Associated Parties:
Individual: Nagamitsu Maie
Organization:Southeast Environmental Research Center
Address:
Florida International University,
University Park,
OE 148,
Miami, Florida 33199 USA
Phone:
305-348-6085 (voice)
Phone:
305-348-4096 (fax)
Email Address:
nagamits@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Role:Post Doctorate
Individual: Rudolf Jaffe'
Organization:Southeast Environmental Research Center
Address:
Florida International University,
University Park,
OE 148,
Miami, Florida 33199 USA
Phone:
305-348-2456 (voice)
Phone:
305-348-4096 (fax)
Email Address:
jaffer@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Role:Lead Principal Investigator
Individual: Joshua Cloutier
Organization:Southeast Environmental Research Center
Address:
Florida International Uiversity University Park OE 148,
Miami, Florida 33199 USA
Phone:
305-348-3118 (voice)
Phone:
305-348-4096 (fax)
Email Address:
jclou001@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Role:Graduate Student
Individual: Yunping Xu
Organization:Southeast Environmental Research Center
Address:
Florida International University University Park OE 148,
Miami, Florida 33199 USA
Phone:
305-348-3118 (voice)
Phone:
305-348-4096 (fax)
Email Address:
yxu003@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Role:Graduate Student
Individual: Min Gao
Organization:Southeast Environmental Research Center
Address:
Florida International University University Park OE 148,
Miami, Florida 33199 USA
Phone:
305-348-3118 (voice)
Phone:
305-348-4096 (fax)
Email Address:
min.gao@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Role:Graduate Student
Individual: Oliva Pisani
Organization:Southeast Environmental Research Center
Address:
Florida International University University Park OE 148,
Miami, Florida 33199 USA
Phone:
305-348-3118 (voice)
Phone:
305-348-4096 (fax)
Email Address:
opisa001@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Role:Undergaraduate Student
Individual: Alberto Pisani
Organization:Southeast Environmental Research Center
Address:
Florida International University University Park OE 148,
Miami, Florida 33199 USA
Phone:
305-348-3118 (voice)
Phone:
305-348-4096 (fax)
Email Address:
apisa001@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Role:Undergraduate Student
Individual: Michelle Calvo
Organization:Southeast Environmental Research Center
Address:
Florida International University University Park OE 148,
Miami, Florida 33199 USA
Phone:
305-348-3118 (voice)
Phone:
305-348-4096 (fax)
Email Address:
MCALV003@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Role:Undergraduate Student
Metadata Providers:
Organization:Florida Coastal Everglades LTER
Address:
Florida International University,
11200 SW 8th Street, OE 148,
Miami, FL 33199 USA
Phone:
305-348-6054 (voice)
Email Address:
fcelter@fiu.edu
Web Address:
https://fcelter.fiu.edu
Id:https://ror.org/03davk141

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
2001-12-06
End:
2002-01-28
Sampling Site: 
Description:TS/Ph1a
Site Coordinates:
Longitude (degree): -80.59029790000001Latitude (degree): 25.42388762
Sampling Site: 
Description:TS/Ph2
Site Coordinates:
Longitude (degree): -80.60690341Latitude (degree): 25.40357188
Sampling Site: 
Description:TS/Ph3
Site Coordinates:
Longitude (degree): -80.66271768Latitude (degree): 25.25240534
Sampling Site: 
Description:TS/Ph6a
Site Coordinates:
Longitude (degree): -80.6490792Latitude (degree): 25.21418102
Sampling Site: 
Description:TS/Ph7a
Site Coordinates:
Longitude (degree): -80.63910514Latitude (degree): 25.19080491
Sampling Site: 
Description:TS/Ph9
Site Coordinates:
Longitude (degree): -80.48978207Latitude (degree): 25.17692874
Sampling Site: 
Description:TS/Ph10
Site Coordinates:
Longitude (degree): -80.68097374Latitude (degree): 25.02476744
Sampling Site: 
Description:TS/Ph11
Site Coordinates:
Longitude (degree): -80.93798347Latitude (degree): 24.91293492

Project

Parent Project Information:

Title:Florida Coastal Everglades LTER: Coastal Oligotrophic Ecosystems Research-the Coastal Everglades
Personnel:
Individual: Daniel Childers
Role:Lead Principal Investigator
Abstract:

We are investigating how variability in regional climate, freshwater inputs, disturbance, and perturbations affect the coastal Everglades ecosystem. Our long term research program focuses on testing the following central idea and hypotheses: Regional processes mediated by water flow control population and ecosystem level dynamics at any location within the coastal Everglades landscape. This phenomenon is best exemplified in the dynamics of an estuarine oligohaline zone where fresh water draining phosphorus-limited Everglades marshes mixes with water from the more nitrogen-limited coastal ocean. Hypothesis 1: In nutrient-poor coastal systems, long-term changes in the quantity or quality of organic matter inputs will exert strong and direct controls on estuarine productivity, because inorganic nutrients are at such low levels. Hypothesis 2: Interannual and long-term changes in freshwater flow controls the magnitude of nutrients and organic matter inputs to the estuarine zone, while ecological processes in the freshwater marsh and coastal ocean control the quality and characteristics of those inputs. Hypothesis 3: Long-term changes in freshwater flow (primarily manifest through management and Everglades restoration) will interact with long-term changes in the climatic and disturbance (sea level rise, hurricanes, fires) regimes to modify ecological pattern and process across coastal landscapes.

Additional Award Information:
Funder:National Science Foundation
Funder ID:https://ror.org/021nxhr62
Number:9910514
Title:Florida Coastal Everglades LTER: Coastal Oligotrophic Ecosystems Research-the Coastal Everglades
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=9910514
Related Project:
Title:FCE LTER II: Coastal Oligotrophic Ecosystems Research
Personnel:
Individual: Evelyn Gaiser
Id:https://orcid.org/0000-0003-2065-4821
Role:Lead Principal Investigator
Abstract:

Our FCE I research focused on understanding how dissolved organic matter from upstream oligotrophic marshes interacts with a marine source of phosphorus (P), the limiting nutrient, to control estuarine productivity where these two influences meet-in the oligohaline ecotone. This dynamic is affected by the interaction of local ecological processes and landscape-scale drivers (hydrologic, climatological, and human). During FCE I, our ideas about how these "upside-down" estuaries (Childers et al. 2006) function has evolved, and we have modified our central theme to reflect this new understanding. Our focus in FCE II will be even more strongly on the oligohaline ecotone region of our experimental transects. For FCE II, our overarching theme is: In the coastal Everglades landscape, population and ecosystem-level dynamics are controlled by the relative importance of water source, water residence time, and local biotic processes. This phenomenon is best exemplified in the oligohaline ecotone, where these 3 factors interact most strongly and vary over many [temporal and spatial] scales.Hypothesis 1: Increasing inputs of fresh water will enhance oligotrophy in nutrient-poor coastal systems, as long as the inflowing water has low nutrient content; this dynamic will be most pronounced in the oligohaline ecotone. Hypothesis 2: An increase in freshwater inflow will increase the physical transport of detrital organic matter to the oligohaline ecotone, which will enhance estuarine productivity. The quality of these allochthonous detrital inputs will be controlled by upstream ecological processes. Hypothesis 3: Water residence time, groundwater inputs, and tidal energy interact with climatic and disturbance regimes to modify ecological pattern and process in oligotrophic estuaries; this dynamic will be most pronounced in the oligohaline ecotone. Childers, D.L., J.N. Boyer, S.E. Davis, C.J. Madden, D.T. Rudnick, and F.H. Sklar, 2006. Relating precipitation and water management to nutrient concentration patterns in the oligotrophic "upside down" estuaries of the Florida Everglades. Limnology and Oceanography, 51(1): 602-616.

Additional Award Information:
Funder:National Science Foundation
Funder ID:https://ror.org/021nxhr62
Number:620409
Title:FCE LTER II: Coastal Oligotrophic Ecosystems Research
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=0620409
Related Project:
Title:FCE LTER III: Coastal Oligotrophic Ecosystems Research
Personnel:
Individual: Evelyn Gaiser
Id:https://orcid.org/0000-0003-2065-4821
Role:Lead Principal Investigator
Abstract:

Coastal ecosystems are being modified at unprecedented rates through interacting

pressures of global climate change and rapid human population growth, impacting natural coastal

resources and the services they provide. Located at the base of the shallow-sloping Florida peninsula, the Everglades wilderness and 6 million human residents are exceptionally exposed to both pressures. Further, freshwater drainage has accelerated saltwater intrusion over land and into the porous limestone aquifer, resulting in coastal ecosystem transgression and seasonal residential freshwater shortages. The unprecedented landscape-scale Everglades restoration process is expected to reverse some of these trends. However, it is not clear how uncertainties about climate change prognoses and their impacts (e.g., sea level rise (SLR), changes in storm activity or severity, and climate drivers of freshwater availability) may influence human activities (e.g., population growth, resource use, land-use change), and how their interaction will affect the restoration process that is already steeped in conflict. The Florida Coastal Everglades Long-Term Ecological Research (FCE LTER) program is dedicated to long-term coupled biophysical and cultural studies that expose and unravel complex feedbacks that generate distinctive patterns and processes in vulnerable coastal ecosystems. The overarching theme of FCE research is: In the coastal Everglades, climate change and resource management decisions interact to influence

freshwater availability, ecosystem dynamics, and the value and utilization of ecosystem services by people. Because they are highly sensitive to the balance of freshwater and marine influences,

coastal wetlands of the Florida Everglades provide an ideal system to examine how socio-ecological systems respond to and mitigate the effects of climate change and freshwater allocation decisions. The trans-disciplinary science conducted by the large FCE research team is revealing how estuary hydrodynamics and biogeochemistry may tilt on a fulcrum defined by the magnitude by which coastal pressures (SRL, storms) are mitigated by freshwater flows. We employ a socio-ecological framework to address how climate change interacts with political decisions to determine the sustainability of interconnected human-natural systems. In FCE I, we discovered how coastal nutrient supplies create an unusual “upside-down” productivity gradient in karstic estuaries. FCE II research used growing long-term datasets to reveal the sensitivity of this gradient to changes in hydrodynamics, nutrient availability, and salinity. In FCE III, we will use South Florida as an exemplary system for understanding how and why socio-ecological systems resist, adapt to, or mitigate the effects of climate change on ecosystem sustainability. We will examine how decisions about freshwater delivery to the Everglades influence -and are influenced by - the impact of SLR in this especially vulnerable landscape. Biophysical studies will focus on how this balance of fresh and marine sources influences biogeochemical cycling, primary production, organic matter dynamics, and trophic dynamics, to drive carbon gains and losses. We expand our spatio-temporal domain by employing powerful long-term datasets and experiments to determine legacies of past interactions, and to constrain models that will help guide a sustainable future for the FCE.

Additional Award Information:
Funder:National Science Foundation
Funder ID:https://ror.org/021nxhr62
Number:1237517
Title:FCE LTER III: Coastal Oligotrophic Ecosystems Research
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=1237517
Related Project:
Title:FCE LTER IV: Drivers of Abrupt Change in the Florida Coastal Everglades
Personnel:
Individual: Evelyn Gaiser
Role:Lead Principal Investigator
Abstract:

Coastal ecosystems like the Florida Everglades provide many benefits to society. They protect coastlines from storms and store carbon. They provide habitat and food for important fisheries. They also support tourism and local economies, and store freshwater for millions of people. The Florida Coastal Everglades Long Term Ecological Research (FCE LTER) program addresses how and why coastal ecosystems are changing in response to sea level rise and the actions of people. Like many coastal ecosystems, the Florida Everglades are threatened by the diversion of freshwater to support urban and agricultural expansion. At the same time, sea level rise has caused coastal ecosystems to become saltier, threatening the freshwater supply, stressing freshwater plants, and causing the soils to collapse. When the soils beneath coastal wetlands disappear, seawater invades even more quickly. Researchers in the FCE LTER are continuing long-term studies and experiments to understand how these changes influence ecosystem functions and services. They are also developing tools for resource managers to create an effective freshwater restoration program. The science team includes an active community of graduate students. As a group, they reach the public through education and outreach activities, and regularly advise policy-makers on resource management decisions. The FCE LTER research program addresses how changing fresh and marine supplies of water influence coastal ecosystem dynamics through: (i) continued long-term assessment of changes in biogeochemistry, primary production, organic matter, and trophic dynamics in ecosystems along freshwater-to-marine gradients, (ii) maintenance of existing in situ and ex situ long-term experiments, (iii) use of high-resolution remote sensing, coupled with models to forecast landscape-scale changes, (iv) addition of synoptic satellite sites to capture discrete spatio-temporal responses to episodic disturbance, and (v) initiation of new experimental manipulations to determine drivers and mechanisms of resilience to saltwater intrusion. Data syntheses integrate month-to-annual and inter-annual data into models of water, nutrients, carbon, and species dynamics throughout the Everglades landscape to compare how ecosystems with different productivities and carbon stores respond (maintain, increase, or decline) to short- (pulses) and long-term changes (presses) in hydrologic connectivity. Understanding and predicting the drivers of abrupt changes in ecosystems is a key challenge in ecosystem ecology.

Additional Award Information:
Funder:National Science Foundation
Funder ID:https://ror.org/021nxhr62
Number:1832229
Title:LTER: Drivers of Abrupt Change in the Florida Coastal Everglades
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=1832229&HistoricalAwards=false
Related Project:
Title:LTER: Coastal Oligotrophic Ecosystem Research
Personnel:
Individual: John Kominoski
Address:
Florida International University,
11200 S.W. 8th Street,
Miami, FL 33199 US
Email Address:
jkominos@fiu.edu
Id:https://orcid.org/0000-0002-0978-3326
Role:Lead Principal Investigator
Individual: James Fourqurean
Role:Co-Principal Investigator
Individual: Evelyn Gaiser
Role:Co-Principal Investigator
Individual: Jennifer Rehage
Role:Co-Principal Investigator
Individual: Kevin Grove
Role:Co-Principal Investigator
Abstract:

Coastal ecosystems like the Florida Everglades provide many benefits and services to society including protection from storms, habitat and food for important fisheries, support of tourism and local economies, filtration of fresh water, and burial and storage of carbon that offsets greenhouse gas emissions. The Florida Coastal Everglades Long Term Ecological Research (FCE LTER) program addresses how and why coastal ecosystems and their services are changing. Like many coastal ecosystems, the Florida Everglades has been threatened by diversion of fresh water to support urban and agricultural expansion. At the same time, sea-level rise has caused saltwater intrusion of coastal ecosystems which stresses freshwater species, causes elevation loss, and contaminates municipal water resources. However, restoration of seasonal pulses of fresh water may counteract these threats. Researchers in the FCE LTER are continuing long-term studies and experiments to understand how changes in freshwater supply, sea-level rise, and disturbances like tropical storms interact to influence ecosystems and their services. The science team is guided by a diversity and inclusion plan to attract diverse scientists at all career stages. The team includes resource managers – who use discoveries and knowledge from the FCE LTER to guide effective freshwater restoration – and an active community of academic and agency scientists, teachers and other educators, graduate, undergraduate, and high school students. The project has a robust education and outreach program that engages the research team with the general public to advance science discoveries and protection of coastal ecosystems.

Additional Award Information:
Funder:National Science Foundation
Funder ID:https://ror.org/021nxhr62
Number:2025954
Title:LTER: Coastal Oligotrophic Ecosystem Research
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=2025954&HistoricalAwards=false

Maintenance

Maintenance:
Description:

knb-lter-fce.1103.4: Updated metadata to EML 2.2.0, added creator ORCID and organization ROR ids, added project awards, changed file extension to .csv (no changes to data)

knb-lter-fce.1103.2: Added new Data download URL and new FCE III Project information

knb-lter-fce.1103.1: This is a short-term DOM dataset. This dataset replaces the original version named ST_ND_Jaffe_002. The FCE program is discontinuing its practice of versioning data as of March 2013.

Frequency:
Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'unitList' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unitList')
        |     |     |  \___attribute 'schemaLocation' in ns 'http://www.w3.org/2001/XMLSchema-instance' ('xsi:schemaLocation') = 'eml://ecoinformatics.org/eml-2.1.0 http://fcelter.fiu.edu/data/eml_schema/eml-2.1.0/stmml.xsd'
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'microMolesPerLiter'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.000001'
        |     |     |     |  \___attribute 'name' = 'microMolesPerLiter'
        |     |     |     |  \___attribute 'parentSI' = 'molarity'
        |     |     |     |  \___attribute 'unitType' = 'amountOfSubstanceConcentration'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |     |___text 'µM = µmoles per liter of solution'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'QSUPerMilligramPerLiter'
        |     |     |     |  \___attribute 'name' = 'QSUPerMilligramPerLiter'
        |     |     |     |  \___attribute 'unitType' = '0'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |     |___text 'Quinine Sulfate Unit(1 QSU = 1ug/L of quinine sulfate monohydrate in a 0.05 mol/L H2SO4 solution)/milligram/liter'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'percent'
        |     |     |     |  \___attribute 'multiplierToSI' = '1'
        |     |     |     |  \___attribute 'name' = 'percent'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |     |___text 'ratio of two quantities as percent composition (1:100)'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'milligramsPerGram'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.001'
        |     |     |     |  \___attribute 'name' = 'milligramsPerGram'
        |     |     |     |  \___attribute 'parentSI' = 'gramsPerGram'
        |     |     |     |  \___attribute 'unitType' = 'massPerMass'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |     |___text 'milligrams per gram'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'milligramsPermilligram'
        |     |     |     |  \___attribute 'name' = 'milligramsPermilligram'
        |     |     |     |  \___attribute 'unitType' = 'massPerMass'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |     |___text 'milligrams per milligrams'
        |     |     |     |___text '\n            '
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'additionalDataset'
        |     |     |___text '\n            '
        |     |     |___element 'researchType'
        |     |     |     |___text 'Short-term'
        |     |     |___text '\n            '
        |     |     |___element 'addDistribution'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'submissionDate'
        |     |     |     |     |___text '2005-09-08'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'LTERsites'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'sitename'
        |     |     |     |     |___text 'TS/Ph1a, TS/Ph2, TS/Ph3, TS/Ph6a, TS/Ph7a, TS/Ph9, TS/Ph10, TS/Ph11'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'projectHypotheses'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'para'
        |     |     |     |     |___text 'Our short term research progarm focuses on the following central objective: to investigate in detail the molecular characteristics of DOM in the Florida Coastal Everglades.'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'datasetInfoManagementNotes'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'notes'
        |     |     |     |     |___text 'This is a short-term DOM dataset. This dataset replaces the original version named ST_ND_Jaffe_002. The FCE program is discontinuing its practice of versioning data as of March 2013.'
        |     |     |     |___text '\n            '
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'fetchedFromEDI'
        |     |        \___attribute 'dateFetched' = '2024-02-19'
        |     |        \___attribute 'packageID' = 'knb-lter-fce.1103.2'
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'importedFromXML'
        |     |        \___attribute 'dateImported' = '2024-02-19'
        |     |        \___attribute 'filename' = 'knb-lter-fce.1103.2.xml'
        |     |        \___attribute 'taxonomicCoverageExempt' = 'True'
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'emlEditor'
        |     |        \___attribute 'app' = 'ezEML'
        |     |        \___attribute 'release' = '2024.02.07'
        |     |___text '\n      '
        |___text '\n   '

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

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