Data Package Metadata   View Summary

Relative Abundance of Soft Algae From the Comprehensive Everglades Restoration Plan (CERP) Study (FCE), Florida, USA, September 2005 to November 2011

General Information
Data Package:
Local Identifier:knb-lter-fce.1212.2
Title:Relative Abundance of Soft Algae From the Comprehensive Everglades Restoration Plan (CERP) Study (FCE), Florida, USA, September 2005 to November 2011
Alternate Identifier:FCE1212
Alternate Identifier:DOI PLACE HOLDER
Abstract:

Relative soft algae data collected between September 2005 and November 2011

"The Comprehensive Everglades Restoration Plan (CERP) focuses on “getting the water right” in the south Florida ecosystem—getting the right amount of water of the right quality to the right places at the right time" (USACE & DoI, 2015. Central and Southern Florida Project Comprehensive Everglades Restoration Plan) in the Everglades ecosystems. To inform CERP, since February 2005 we have been investigating the spatio-temporal variations of distribution, biomass and diversity of algae (key aquatic primary producers) in periphyton mats in relation to hydrology, nutrients and pH, and other environmental conditions.

Publication Date:2024-01-30
For more information:
Visit: http://fcelter.fiu.edu/perl/public_data_download.pl?datasetid=FCE1212_CERP_Algae.txt
Visit: DOI PLACE HOLDER

Time Period
Begin:
2005-09-14
End:
2011-11-28

People and Organizations
Contact:Information Manager (Florida Coastal Everglades LTER) [  email ]
Creator:Gaiser, Evelyn (Florida Coastal Everglades LTER Program, Primary Investigator)

Data Entities
Data Table Name:
FCE1212_CERP_Algae.csv
Description:
Abundance of soft algae from CERP study locations
Data Table Name:
FCE1212_CERP_sampling_sites
Description:
Coordinates of principal sampling units.
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-fce/1212/2/859e2a740550e4738edb13aa387c4e5a
Name:FCE1212_CERP_Algae.csv
Description:Abundance of soft algae from CERP study locations
Number of Records:958
Number of Columns:255

Table Structure
Object Name:FCE1212_CERP_Algae.csv
Size:1472689 byte
Authentication:60b4923569c04fe9810eb34a3796e0c4 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 sampling time detailssampling time detailsregionlocationreplicateSample coderelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundancerelative abundance
Column Name:Date  
Year  
Region  
PSU  
Replicate  
Sample_code  
ACHNANTH  
AHMINGRA  
AHMINMIN  
AMHOLHOL  
AMOVAOVA  
AMSULSUL  
ANABAENA  
ANCOSCOS  
ANKISTRO  
APHANOCA  
APHANOTH  
BAPAXPAX  
BRBREBRE  
BRAPOAPO  
BRMICMIC  
BRSERSER  
BULBFILA  
BULBOCHA  
CALONEIS  
CDISCUSS  
CENTRITR  
CHARACIU  
CHRODIOP  
CHROLARG  
CHROSMAL  
CLOSTERI  
COELASTR  
COELOSPH  
COPLAPLA  
COSMAMOE  
COSMARIU  
COSMCALC  
COSMCFDE  
COSMCFRE  
COSMCOMM  
COSMCONT  
COSMEXCA  
COSMINAE  
COSMISTH  
COSMMONO  
COSMOBSO  
COSMOCEL  
COSMPANA  
COSMPHAS  
COSMPYRA  
COSMRENI  
COSMSMOL  
CPCARCAR  
CRUCQUAD  
CYMENMEN  
DACONCON  
DACTYLOC  
DESMAPTO  
DESMBAIL  
DESMIDIU  
DESMSCHW  
DIMORPHO  
DIOBLOBL  
DIPARPAR  
DIPUEPUE  
ECFLOFLO  
ECMICMIC  
ECSUBSUB  
ENCPNEG1  
ENCYONEM  
ENEVEEVE  
ENFTSP01  
ENFTSP02  
ENFTSP04  
ENSILELE  
ENSILSIL  
ENSJSP03  
EUASCORN  
EUASPECT  
EUASSMAL  
EUASTRUM  
EUCAMCAM  
EUEGSP01  
EUFLEFLE  
EUINCINC  
EUMONMON  
EUNAENAE  
EUNOTIAS  
EURABELO  
EUZYGZYG  
EVMETMET  
EVPACPAC  
FACFTENE  
FAFTSP16  
FAGILARI  
FANANNAN  
FASYNSYN  
FFVIRCAP  
FISCHERE  
FRCRACRA  
FRRHORHO  
GENIELGI  
GLOEOCAP  
GLOEOCYS  
GLOEOTAE  
GLOEOTHE  
GOAFFAFF  
GOAURAUR  
GOCFVIBR  
GOCLACLA  
GOCORCOR  
GOGRAGRA  
GOINTVIB  
GOMACMAC  
GOMPEGS1  
GOMPHONE  
GOMPHOSP  
GONATOZY  
GOPAREXI  
GOPARLAG  
GOPARPAR  
GOPRAPRA  
HAAMPAMP  
HLAPOAPO  
HLVENVEN  
JOHABAPT  
KIRCHNER  
KOCFPARA  
LAGYNION  
LEHUNHUN  
LYNGBYAS  
MABRABRA  
MALANLAN  
MASMILAC  
MASMISMI  
MASTOGIA  
MERISMOP  
MICRASTE  
MICRCRUX  
MICRFLOR  
MICROCHA  
MICROCYS  
MICRPINN  
MOUGEOTI  
MOUGLARG  
MOUGSMAL  
MOUGSPOR  
NACRPCRP  
NACRYCRY  
NARADRAD  
NARAFRAF  
NASALSAL  
NAVICOSY  
NAVICULA  
NIAMPAMP  
NIAMPFRA  
NIFILFIL  
NILACLAC  
NINANNAN  
NIPALDEB  
NIPALPAL  
NISERSER  
NITZSCHI  
OEDOLARG  
OEDOSMAL  
ONYCHONE  
OOCYSTIS  
OPHIOCYT  
OSCILLAT  
PALMODYC  
PAPANPAN  
PCCONCON  
PEBREBRE  
PEDIMINI  
PEDISIMP  
PEDITETR  
PERIDINI  
PHACORBI  
PIACRACR  
PIBRABRA  
PIGIBGIB  
PIMICMIC  
PINNLARG  
PINNULAR  
PISTOSTO  
PISTRSTR  
PIVIRVIR  
PLEUMIAT  
PLEUMIEX  
PLPOOOP  
PLSALSAL  
PNCFFREQ  
QUADRIGU  
RHABLINE  
RHABSIGM  
RHGIBGIB  
ROLINLIN  
SCENARCU  
SCENARMA  
SCENBIJU  
SCENBREV  
SCENEDES  
SCENSERR  
SCENSMAL  
SCHIZOTH  
SCYTDABR  
SCYTLIBR  
SCYTLIGH  
SELAELAE  
SEPUPPUP  
SMPUSPUS  
SNCURCUR  
SPIROGYR  
SPIRULIN  
SPONDYLO  
STAUALTE  
STAUCFSO  
STAUCONN  
STAUCYAT  
STAUDEJE  
STAUDEPR  
STAUDISP  
STAUEXCA  
STAUGRAL  
STAULONG  
STAUOPFC  
STAUPINN  
STAURAST  
STIGEOCL  
STIGONEM  
STIPITOC  
STPHOPHO  
SYFILEXI  
TEILINGI  
TETRAEDR  
TETRCAUD  
TETRMINI  
TETRPENT  
THALASSI  
TRIPLOCE  
ULULNULN  
UNKNALGA  
UNKNBGAK  
UNKNBGCO  
UNKNBGFI  
UNKNBGOB  
UNKNBGSO  
UNKNGIRD  
UNKNGRCO  
UNKNGRFI  
UNKNGRMA  
UNKNGRML  
UNKNSGRL  
UNKNSGRS  
Definition:Sampling dateYear sites were sampledRegion designationPrincipal Sampling UnitThrow 1, 2 or 3Sample codespecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies dataspecies data
Storage Type:Datetime  
Datetime  
Code  
Code  
Code  
Code  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
Measurement Type:dateTimedateTimenominalnominalordinalnominalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalintervalinterval
Measurement Values Domain:
FormatYYYY-MM-DD
Precision
FormatYYYY
Precision
Definitiontext
Definitiontext
Definitiontext
Definitiontext
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Unitpercent
Precision0.001
Typereal
Missing Value Code:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              
Accuracy Report:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              
Accuracy Assessment:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              
Coverage:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              
Methods:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-fce/1212/2/92eac3857ac49739b12044951b3a9404
Name:FCE1212_CERP_sampling_sites
Description:Coordinates of principal sampling units.
Number of Records:172
Number of Columns:3

Table Structure
Object Name:FCE1212_CERP_sampling_sites.csv
Size:7848 byte
Authentication:d4cb0fb8fd569da798650e370f37f43e Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 PSULONGITUDE_DECIMAL_DEGREESLATITUDE_DECIMAL_DEGREES
Column Name:PSU  
LONGITUDE_DECIMAL_DEGREES  
LATITUDE_DECIMAL_DEGREES  
Definition:Principal Sampling UnitLongitude in decimal degreesLatitude in decimal degrees
Storage Type:string  
float  
float  
Measurement Type:nominalratioratio
Measurement Values Domain:
Definitiontext
Unitdegree
Typereal
Unitdegree
Typereal
Missing Value Code:      
Accuracy Report:      
Accuracy Assessment:      
Coverage:      
Methods:      

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:
(No thesaurus)Comprehensive Everglades Restoration Plan (CERP), CERP, ecological research, florida everglades, long-term monitoring
LTER Controlled Vocabularyabundance, community composition, algae

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:

We prepared wet mounts from frozen samples and homogenized samples that we then dried onto a cover glass. When CaCO3 crystals were noticeable on the slide, we added a solution of 0.01 mL 10% HCl, dried the cover slip, and inverted it onto a microscope slide in 0.02 ml of water, then sealed it by ringing the glass with fingernail polish. Franco Tobias counted at least 500 algal units (i.e. cells, coenobia, colonies, and filaments of 100µm) at 1000x magnification, using a compound light microscope, and identified them to the lowest possible taxonomic unit (genus, species, or variety). [Marazzi et al. (2017) "Algal richness and life-history strategies are influenced by hydrology and phosphorus in two major subtropical wetlands" Freshwater Biology]

References:

Marazzi, Luca , Evelyn E. Gaiser, Vivienne J. Jones, Franco A. Tobias, A. W. Mackay. 2017. Algal richness and life-history strategies are influenced by hydrology and phosphorus in two major subtropical wetlands. Freshwater Biology, 62(2): 274-290.

Sampling Area and Study Extent
Sampling Description:

Using generalized random-tessellation stratification, we chose a representative set of locations (800 m x 800 m principal sampling units, PSU), within which we sampled three sites in a habitat drawn from a pool of GPS coordinates. At sites where depth was < 1 m, and vegetation not too dense to hamper the formation of periphyton, and our movement in the field, we threw a 1 m3 enclosure, open both at the top and bottom, and collected samples of periphytic algae with a 120 mL plastic beaker from floating or benthic periphyton mats, depending on the depth. Where no mats were present, we took flocculent detritus from the benthos, as this also hosts algae; we then transported the samples back to the laboratory and froze them until analysis. We measured water depth (cm) with a metal ruler, and TP concentrations in the periphyton (μg g−1 dry weight) by means of colorimetry after dry combustion because water column concentrations are often below detection in this extremely oligotrophic wetland [Marazzi et al. (accepted) Freshwater Biology].

Sampling Area And Frequency:

Between February 2005 and November 2014, samples were taken in the Everglades ecosystem, from LOX to ENP (NE to SW; see Dataset geographic description).

Quality Control
Quality Control Step 1: 
Description:

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. Evelyn Gaiser
Organization:Florida Coastal Everglades LTER Program
Position:Primary Investigator
Address:
11200 S.W. 8th Street,
Miami, Florida 33199 USA
Phone:
305-348-6154 (voice)
Phone:
305-348-4096 (fax)
Email Address:
gaiser@fiu.edu
Web Address:
http://algae.fiu.edu
Id:https://orcid.org/0000-0003-2065-4821
Contacts:
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
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:
2005-09-14
End:
2011-11-28
Geographic Region:
Description:Data were collected in Principal Sampling Units (800m x 800m) in the following regions (see list of sites in FCE1212_CERP_sampling_sites.csv file). LKO: Lake Okeechobee; LOX: the Arthur R. Marshall Loxahatchee National Wildlife Refuge (Water Conservation Area 1); Pal Mar (PAL); Pennsuco (PEN), Lostman’s Creek (LMC), the ‘Oligohaline’ area (OLG), Southern Marl Prairie (SMP), Shark River Slough (SRS) and Taylor Slough (TSL); Holey Land Wildlife Management Area (HOL), Water Conservation Areas (WCA) 2 and 3.
Bounding Coordinates:
Northern:  27.096Southern:  25.216
Western:  -81.099Eastern:  -80.15

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.1212.2: Updated metadata, changed file extension from .txt to .csv (no other changes made to file), moved site location coordinates from Methods and Protocols section of metadata to a new "FCE1212_CERP_sampling_sites.csv" file.

knb-lter-fce.1212.1: Data package published

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' = 'percent'
        |     |     |        \___attribute 'multiplierToSI' = '1'
        |     |     |        \___attribute 'name' = 'percent'
        |     |     |        \___attribute 'parentSI' = ''
        |     |     |        \___attribute 'unitType' = 'dimensionless'
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'additionalDataset'
        |     |     |___text '\n            '
        |     |     |___element 'addDistribution'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'submissionDate'
        |     |     |     |     |___text '2016-11-10'
        |     |     |     |___text '\n            '
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'fetchedFromEDI'
        |     |        \___attribute 'dateFetched' = '2024-01-26'
        |     |        \___attribute 'packageID' = 'knb-lter-fce.1212.1'
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'importedFromXML'
        |     |        \___attribute 'dateImported' = '2024-01-26'
        |     |        \___attribute 'filename' = 'knb-lter-fce.1212.1.xml'
        |     |        \___attribute 'taxonomicCoverageExempt' = 'True'
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'emlEditor'
        |     |        \___attribute 'app' = 'ezEML'
        |     |        \___attribute 'release' = '2024.01.24'
        |     |___text '\n      '
        |___text '\n   '

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

UNM logo UW-M logo