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Widespread deoxygenation of temperate lakes: companion dataset 1980 - 2017

General Information
Data Package:
Local Identifier:edi.1001.1
Title:Widespread deoxygenation of temperate lakes: companion dataset 1980 - 2017
Alternate Identifier:DOI PLACE HOLDER
Abstract:

Lake surface temperatures are steadily increasing. DO responds to temperature through multiple mechanisms, suggesting that DO in lakes should be responding to changing water temperatures. To determine whether and how DO is changing in temperate lakes, we collected and analyzed 22,983 temperature and dissolved oxygen profiles from approximately 400 mostly temperate zone lakes. Here, we present resulting derived statistics from this analysis. These statistics include mean summer epilimnetic temperature and DO, hypolimnetic temperature and DO, Secchi depth, chlorophyll a, as well as select meteorological variables such as mean summer air temperature and wind speed.

Publication Date:2020-10-20

Time Period
Begin:
1980
End:
2017

People and Organizations
Contact:Jane, Stephen F (Rensselaer Polytechnic Institute) [  email ]
Contact:Rose, Kevin C. (Rensselaer Polytechnic Institute) [  email ]
Creator:Jane, Stephen F (Rensselaer Polytechnic Institute)
Creator:Hansen, Gretchen J. A. (University of Minnesota)
Creator:Benjamin, Kraemer (IGB Leibniz institute for freshwater ecology and inland fisheries)
Creator:Leavitt, Peter R. (University of Regina and Queen's University Belfast)
Creator:Mincer, Joshua L. (Rensselaer Polytechnic Institute)
Creator:North, Rebecca L. (University of Missouri)
Creator:Pilla, Rachel M. (Miami University)
Creator:Stetler, Jonathan T. (Rensselaer Polytechnic Institute)
Creator:Williamson, Craig E. (Miami University)
Creator:Woolway, R. Iestyn (Dundalk Institute of Technology)
Creator:Arvola, Lauri (University of Helsinki)
Creator:Chandra, Sudeep (University of Nevada)
Creator:DeGasperi, Curtis L. (King County Water and Land Resources Division)
Creator:Diemer, Laura (FB Environmental Associates)
Creator:Dunalska, Julita (University of Warmia and Mazury in Olsztyn)
Creator:Erina, Oxana (Lomonosov Moscow State University)
Creator:Flaim, Giovanna (Research and Innovation Centre, Fondazione Edmund Mach)
Creator:Grossart, Hans-Peter (Leibniz-Institute of Freshwater Ecology and Inland Fisheries and Potsdam University)
Creator:Hambright, K. David (The University of Oklahoma)
Creator:Hein, Catherine (Wisconsin Department of Natural Resources)
Creator:Hejzlar, Josef (Biology Centre CAS)
Creator:Janus, Lorraine L. (New York City Department of Environmental Protection)
Creator:Jenny, Jean-Philippe (CARRTEL Limnology Center)
Creator:Jones, John R. (University of Missouri)
Creator:Knoll, Lesley B. (Itasca Biological Station and Laboratories)
Creator:Leoni, Barbara (University of Milan-Bicocca)
Creator:Mackay, Eleanor (Centre for Ecology and Hydrology)
Creator:Matsuzaki, Shin-Ichiro S. (National Institute for Environmental Studies)
Creator:McBride, Chris (Environmental Research Institute)
Creator:Muller-Navarra, Dorthe C (University of Hamburg)
Creator:Paterson, Andrew M. (Dorset Environmental Science Center)
Creator:Pierson, Don (Uppsala University)
Creator:Rogora, Michela (CNR Water Research Institute)
Creator:Rusak, James A. (Dorset Environmental Science Center)
Creator:Sadro, Steven (University of California)
Creator:Saulnier-Talbot, Emilie (Universite Laval)
Creator:Schmid, Martin (Eawag, Swiss Federal Institute of Aquatic Science and Technology)
Creator:Sommaruga, Ruben (University of Innsbruck, Department of Ecology)
Creator:Thiery, Wim (Vrije Universiteit Brussel and ETH Zurich, Institute for Atmospheric and Climate Science)
Creator:Verburg, Piet (National Institute of Water and Atmospheric Research Ltd (NIWA))
Creator:Weathers, Kathleen C. (Cary Institute of Ecosystem Studies)
Creator:Weyhenmeyer, Gesa A. (Uppsala University)
Creator:Yokota, Kiyoko (State University of New York College at Oneonta (SUNY Oneonta))
Creator:Rose, Kevin C. (Rensselaer Polytechnic Institute)

Data Entities
Data Table Name:
Lake information
Description:
Lake information and location
Detailed Metadata

Data Entities

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1001/1/81f003749ad039837475571390b20190
Name:Lake information
Description:Lake information and location
Number of Records:437
Number of Columns:10

Table Structure
Object Name:Lake_information.csv
Size:28220 bytes
Authentication:01cb266f33f24c2bb7307245d2eba3f9 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
 
Column Name:lake_id  
contributor  
country  
state_prov  
lat  
long  
max_depth  
surf_area  
lake_name  
chlor_a  
Definition:Unique lake identifierNumber uniquely associated to one data contributorCountry in which lake is locatedState or province in which lake is locatedLatitude of lakeLongitude of lakeMaximum depth of lakeSurface area of lakeName of lakeMean chlorophyll a across all available years
Storage Type:string  
float  
string  
string  
float  
float  
float  
float  
string  
float  
Measurement Type:nominalrationominalnominalratioratioratiorationominalratio
Measurement Values Domain:
DefinitionUnique lake identifier
Unitnumber
Typenatural
Min1 
Max82 
DefinitionCountry in which lake is located
DefinitionState or province in which lake is located
Unitdegree
Typereal
Min-42.6175 
Max68.6318 
Unitdegree
Typereal
Min-149.606 
Max176.5855 
Unitmeter
Typereal
Min1.5 
Max594 
Unithectare
Typereal
Min0.5 
Max237000 
DefinitionName of lake
UnitmicrogramsPerLiter
Typereal
Min0.858823529 
Max104.6602941 
Missing Value Code:        
CodeNA
Explnot available
CodeNA
Explnot available
CodeNA
Explnot available
CodeNA
Explnot available
  
CodeNA
Explnot available
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)Lakes, climate warming, hypoxia
LTER Controlled Vocabularydissolved oxygen, temperature

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 compiled temperature and dissolved oxygen (DO) profiles from academic, government, and not-for-profit sources. We sought datasets that had at least one profile sampled annually during the late summer period, which we defined as July 15 – August 31 in the northern hemisphere and January 15 – February 28 in the southern hemisphere. Additionally, we sought datasets having at least 15 years of data.

As a quality control step, we removed data points having ecologically unlikely values in excess of 40degreeC for temperature and 40 mg L-1 for DO. We removed profiles from further analysis if this process removed more than 95% of a profile or if there were less than three distinct depth points remaining.

In some cases, profiles did not have surface measurements (i.e. the shallowest depth was greater than 0 m). We made the assumption of uniform temperature and DO across the epilimnion for these profiles and added a 0 depth. We did this by 1) changing the minimum depth in the profile to 0 if the depth was less than 0.5 m, 2) adding a 0 depth point and assigning it the temperature and DO values equal to those of the minimum depth if the depth was less than or equal to 3 m. If the minimum depth in the profile exceeded 3 m, we removed it from further analysis. If a given depth point had multiple values for temperature or DO, we took the mean of these values. We conducted all analyses using the R statistical programming environment (R Core Team 2017).

Profile interpolation and strata delineation

We interpolated each profile at 0.5 m intervals from 0 m to the deepest point of each profile using the pchip function of the R package pracma (Borchers et al. 2018). Following this interpolation process, we calculated the top and bottom depths of the metalimnion for each profile using the meta.depths function of the R package rLakeAnalyzer (Winslow et al. 2017). If the range of temperatures through a given profile is less than 1degreeC, this function considers the profile to be unstratified.

Many lakes did not have a well-defined hypolimnion. If more than 10% of profiles were considered unstratified, we considered the lake not to have a hypolimnion. We define epilimnion as all depths less than or equal to the top metalimnion depth and hypolimnion as all depths deeper than the bottom metalimnion depth.

Calculating mean epilimnetic and hypolimnetic metrics

We calculated mean late summer temperature, DO concentration, and percent saturation for both the epilimnion and the hypolimnion. For temperature and DO, we first calculated the mean value across the epilimnion or hypolimnion for each profile, and then took the mean of these values across all profiles within the defined late-summer period for each year for each lake. DO percent saturation at each depth interval was calculated from water temperature, DO concentration, and lake elevation (Winslow et al. 2017). Mean epilimnetic and hypolimnetic percent saturation were then calculated in the same manner as temperature and DO concentration.

For lakes that had chlorophyll a data, we used data in the defined late-summer period. For each date in this period, we took the mean of all epilimnetic values. We then calculated the mean of these values for a given year and removed years that exceeded the range of DO data for the corresponding lake. We also excluded data from lakes that did not have at least ten years of chlorophyll a data. Following this, we then took a grand mean for each lake. Before doing these calculations, we first removed any negative values, which were roughly 0.2% of the data.

Calculating trends in meteorological variables

We downloaded meteorological variables using the ERA-5 reanalysis from the European Centre for Medium-Range Weather Forecasts (ECMWF) (Copernicus Climate Change Service 2019). The ERA-5 reanalysis is a global dataset gridded at a resolution of 0.25degree latitude by 0.25degree longitude. The data is available over the period 1979-2019 as monthly averages (air temperature, wind speed, and shortwave radiation) or totals (precipitation). We used data from the location nearest to each lake and over the two-month period corresponding most closely to that used for lake water data (July-August for Northern hemisphere lakes, January-February for Southern hemisphere lakes).

References

Borchers, H. W. (2018). pracma: Practical Numerical Math Functions. R package version 2.1.5 https://CRAN.R-project.org/package=pracma

Copernicus Climate Change Service (C3S). (2019). ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate. Copernicus Climate Change Service Climate Data Store (CDS), Accessed 10/1/2019. https://cds.climate.copernicus.eu/cdsapp#!/home

R Core Team. (2017). R: a language and environment for statistical computing. R foundation for statistical computing, Vienna, Austria

Winslow, L. A., et al. (2017). rLakeAnalyzer: Lake Physics Tools. R package version 1.11.4 https://CRAN.R-project.org/package=rLakeAnalyzer

Description:

This method step describes provenance-based metadata as specified in the LTER EML Best Practices.

This provenance metadata does not contain entity specific information.

Data Source
North Temperate Lakes LTER: Physical Limnology of Primary Study Lakes 1981 - current
Description:

This method step describes provenance-based metadata as specified in the LTER EML Best Practices.

This provenance metadata does not contain entity specific information.

Data Source
North Temperate Lakes LTER: Secchi Disk Depth; Other Auxiliary Base Crew Sample Data 1981 - current
Description:

This method step describes provenance-based metadata as specified in the LTER EML Best Practices.

This provenance metadata does not contain entity specific information.

Data Source
North Temperate Lakes LTER: Chlorophyll - Madison Lakes Area 1995 - current
Description:

This method step describes provenance-based metadata as specified in the LTER EML Best Practices.

This provenance metadata does not contain entity specific information.

Data Source
North Temperate Lakes LTER: Chlorophyll - Trout Lake Area 1981 - current
Description:

This method step describes provenance-based metadata as specified in the LTER EML Best Practices.

This provenance metadata does not contain entity specific information.

Data Source
Three decades of limnological data from lakes in the Pocono Mountains region, Pennsylvania USA, 1988-2018
Description:

This method step describes provenance-based metadata as specified in the LTER EML Best Practices.

This provenance metadata does not contain entity specific information.

Data Source
Missouri Lakes and Reservoirs Long-term Limnological Dataset
Description:

This method step describes provenance-based metadata as specified in the LTER EML Best Practices.

This provenance metadata does not contain entity specific information.

Data Source
Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 1983 to 1989.
Description:

This method step describes provenance-based metadata as specified in the LTER EML Best Practices.

This provenance metadata does not contain entity specific information.

Data Source
Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 1990 to 1999
Description:

This method step describes provenance-based metadata as specified in the LTER EML Best Practices.

This provenance metadata does not contain entity specific information.

Data Source
Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 2000 to 2009
Description:

This method step describes provenance-based metadata as specified in the LTER EML Best Practices.

This provenance metadata does not contain entity specific information.

Data Source
Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 2010 to 2014
Description:

This method step describes provenance-based metadata as specified in the LTER EML Best Practices.

This provenance metadata does not contain entity specific information.

Data Source
Long term limnological measures in Acton Lake, a southwest Ohio reservoir, and its inflow streams: 1992-2017
Description:

This method step describes provenance-based metadata as specified in the LTER EML Best Practices.

This provenance metadata does not contain entity specific information.

Data Source
Analytical dataset: Effects of climate variability on snowmelt and implications for organic matter in a high elevation lake
Description:

This method step describes provenance-based metadata as specified in the LTER EML Best Practices.

This provenance metadata does not contain entity specific information.

Data Source
Climate sensitivity of Sierra Nevada Lakes
Description:
This provenance metadata does not contain entity specific information.
Data Source
Washington and Sammamish (IDs 1,2)
Description:
This provenance metadata does not contain entity specific information.
Data Source
Mueggelsee (ID 3)
Description:
This provenance metadata does not contain entity specific information.
Data Source
Erken (ID 4)
Description:
This provenance metadata does not contain entity specific information.
Data Source
Maine Lakes (IDs 141-242)
Description:
This provenance metadata does not contain entity specific information.
Data Source
Acadia lakes Maine (Jordan, Bubble, Eagle) (IDs 25, 37, 38)
Description:
This provenance metadata does not contain entity specific information.
Data Source
Water Quality Portal Lakes (IDs 39, 114, 116, 307-401)
Description:
This provenance metadata does not contain entity specific information.
Data Source
Dorset Lakes (IDs 46-54)
Description:
This provenance metadata does not contain entity specific information.
Data Source
Lake Annie (ID 55)
Description:
This provenance metadata does not contain entity specific information.
Data Source
Adirondack Lakes (IDs 56-75)
Description:
This provenance metadata does not contain entity specific information.
Data Source
Flathead (ID 115)
Description:
This provenance metadata does not contain entity specific information.
Data Source
Kasumigaura (ID 129)
Description:
This provenance metadata does not contain entity specific information.
Data Source
Wisconsin Lakes (IDs 132-139)
Description:
This provenance metadata does not contain entity specific information.
Data Source
Swedish Lakes (IDs 279-290, 292-304)
Description:
This provenance metadata does not contain entity specific information.
Data Source
Michigan Lakes (IDs 411-413)
Description:
This provenance metadata does not contain entity specific information.
Data Source
Castle (ID 441)
Description:

Source Dataset

This dataset is not publicly available

Rimov (Reservoir) (ID 5), please contact Josef Hejzlar

Description:

Source Dataset

This dataset is not publicly available

Maggiore (ID 6), created by CNR Water Research Institute, please contact Verbania Michela Rogora

Description:

Source Dataset

This dataset is not publicly available

Neversink and Cannonsville (IDs 7,8), created by NYC Environmental Protection - Bureau of Water Supply, please contact Lorraine Janus

Description:

Source Dataset

This dataset is not publicly available

ELA Lakes (IDs 9-13), created by IISD – Experimental Lakes Area Inc., please contact Scott Higgins

Description:

Source Dataset

This dataset is not publicly available

Caldonazzo (ID 23), created by Fondazione Edumund Mach, please contact Giovanna Flaim

Description:

Source Dataset

This dataset is not publicly available

Iseo (ID 24), please contact Barbara Leoni

Description:

Source Dataset

This dataset is not publicly available

New Zealand Lakes (Brunner, Tarawera, Taupo) (IDs 40, 44, 45), created by National Institute of Water and Atmospheric Research (NIWA), please contact Piet Verburg

Description:

Source Dataset

This dataset is not publicly available

Kortowskie (ID 41), created by University of Warmia and Mazury in Olsztyn, please contact Julita Dunalska

Description:

Source Dataset

This dataset is not publicly available

Swiss Lakes (IDs 99-104), created by City of Zurich Water Supply, Cantonal agencies of Bern (AWA), Zurich (AWEL), St. Gallen (AFU), and Neuchatel, please contact Martin Schmid

Description:

Source Dataset

This dataset is not publicly available

Qu'Appelle lakes, Saskatchewan (IDs 105-111), please contact Peter Leavitt

Description:

Source Dataset

This dataset is not publicly available

Naroch (ID 113), created by Belarusion State University, please contact Boris Adamovich

Description:

Source Dataset

This dataset is not publicly available

Oklahoma Lakes (IDs 117-120), please contact K. David Hambright

Description:

Source Dataset

This dataset is not publicly available

Stechlin (ID 122) created by IGB-Berlin, wollrab@igb-berlin.de, please contact Hans-Peter Grossart and Sabine Wollrab

Description:

Source Dataset

This dataset is not publicly available

Kivu (ID 123), please contact Wim Thiery

Description:

Source Dataset

This dataset is not publicly available

Otsego (ID 124), created by SUNY Oneonta Biological Field Station, please contact Kiyoko Yokota

Description:

Source Dataset

This dataset is not publicly available

Blelham Tarn (ID 125), created by UK Centre for Ecology and Hydrology, Funding – Natural Environment Research Council National Capability, please contact Eleanor Mackay

Description:

Source Dataset

This dataset is not publicly available

Itasca (ID 126), created by Itasca Biological Station and Labs, please contact Lesley Knoll

Description:

Source Dataset

This dataset is not publicly available

New Hampshire Lakes (IDs 243-278), created by Volunteer lake assessment program (VLAP) environmental monitoring dfata. New Hampshire Department of Environmental Services. Watershed mgmt. bureau – Biology section, Concord, NH., please contact Melanie Cofrin

Description:

Source Dataset

This dataset is not publicly available

New Hampshire Lakes, created by NHDES. Lake trophic survey environmental monitoring data. New Hampshire Department of Environmental Services, Watershed Mgmt Bureau – Biology section, Concord, NH., please contact Melanie Cofrin

Description:

Source Dataset

This dataset is not publicly available

New Zealand Lakes (IDs 402-410), created by Environmental Research Institute, please contact Christopher McBride

Description:

Source Dataset

This dataset is not publicly available

Leech (IDs 416, 417), created by Minnesota Department of Natural Resources, please contact Carl Pedersen and Gretchen Hansen

Description:

Source Dataset

This dataset is not publicly available

Nkuruba (ID 442) created by Lauren Chapman, please contact Emilie Saulnier-Talbot

Description:

Source Dataset

This dataset is not publicly available

Sunapee (IDs 78, 79), please contact Kathleen Weathers*

Description:

Source Dataset

This dataset is not publicly available

Lake George (IDs 130, 131), created by Darrin Fresh Water Institute, Rensselaer Polytechnic Institute, please contact Sandra Nierzwicki-Bauer

People and Organizations

Publishers:
Organization:Environmental Data Initiative
Email Address:
info@environmentaldatainitiative.org
Web Address:
https://environmentaldatainitiative.org
Creators:
Individual: Stephen F Jane
Organization:Rensselaer Polytechnic Institute
Email Address:
janesatrpi.edu
Id:https://orcid.org/0000-0003-2968-359X
Individual: Gretchen J. A. Hansen
Organization:University of Minnesota
Email Address:
ghansenatumn.edu
Individual: Kraemer Benjamin
Organization:IGB Leibniz institute for freshwater ecology and inland fisheries
Email Address:
ben.m.kraemeratgmail.com
Id:https://orcid.org/0000-0002-3390-9005
Individual: Peter R. Leavitt
Organization:University of Regina and Queen's University Belfast
Email Address:
P.LeavittatQUB.ac.uk
Id:https://orcid.org/0000-0001-9805-9307
Individual: Joshua L. Mincer
Organization:Rensselaer Polytechnic Institute
Individual: Rebecca L. North
Organization:University of Missouri
Email Address:
northratmissouri.edu
Id:https://orcid.org/0000-0003-3762-5939
Individual: Rachel M. Pilla
Organization:Miami University
Email Address:
pillarmatmiamioh.edu
Id:https://orcid.org/0000-0001-9156-9486
Individual: Jonathan T. Stetler
Organization:Rensselaer Polytechnic Institute
Email Address:
stetljatrpi.edu
Id:https://orcid.org/0000-0003-1505-3693
Individual: Craig E. Williamson
Organization:Miami University
Email Address:
willia85atmiamioh.edu
Individual: R. Iestyn Woolway
Organization:Dundalk Institute of Technology
Email Address:
riwoolwayatgmail.com
Id:https://orcid.org/0000-0003-0498-7968
Individual: Lauri Arvola
Organization:University of Helsinki
Email Address:
lauri.arvolaathelsinki.fi
Id:https://orcid.org/0000-0003-1380-0659
Individual: Sudeep Chandra
Organization:University of Nevada
Email Address:
sudeepatunr.edu
Id:https://orcid.org/0000-0003-1724-5154
Individual: Curtis L. DeGasperi
Organization:King County Water and Land Resources Division
Email Address:
Curtis.DeGasperiatkingcounty.gov
Individual: Laura Diemer
Organization:FB Environmental Associates
Email Address:
lauradatfbenvironmental.com
Individual: Julita Dunalska
Organization:University of Warmia and Mazury in Olsztyn
Email Address:
julitadatuwm.edu.pl
Id:https://orcid.org/0000-0001-6089-9140
Individual: Oxana Erina
Organization:Lomonosov Moscow State University
Email Address:
tamiblackatyandex.ru
Id:https://orcid.org/0000-0001-8579-3852
Individual: Giovanna Flaim
Organization:Research and Innovation Centre, Fondazione Edmund Mach
Email Address:
giovanna.flaimatfmach.it
Id:https://orcid.org/0000-0002-1753-5605
Individual: Hans-Peter Grossart
Organization:Leibniz-Institute of Freshwater Ecology and Inland Fisheries and Potsdam University
Email Address:
hgrossartatigb-berlin.de
Id:https://orcid.org/0000-0002-9141-0325
Individual: K. David Hambright
Organization:The University of Oklahoma
Email Address:
dhambrightatou.edu
Id:https://orcid.org/0000-0002-5592-963X
Individual: Catherine Hein
Organization:Wisconsin Department of Natural Resources
Email Address:
Catherine.Heinatwisconsin.gov
Id:https://orcid.org/0000-0003-0160-655X
Individual: Josef Hejzlar
Organization:Biology Centre CAS
Email Address:
hejzlarathbu.cas.cz
Id:https://orcid.org/0000-0002-7186-4776
Individual: Lorraine L. Janus
Organization:New York City Department of Environmental Protection
Email Address:
ljanusatdep.nyc.gov
Individual: Jean-Philippe Jenny
Organization:CARRTEL Limnology Center
Email Address:
Jean-Philippe.Jennyatinra.fr
Id:https://orcid.org/0000-0002-2740-174X
Individual: John R. Jones
Organization:University of Missouri
Email Address:
JonesJatmissouri.edu
Id:https://orcid.org/0000-0002-1046-3792
Individual: Lesley B. Knoll
Organization:Itasca Biological Station and Laboratories
Email Address:
lbknollatumn.edu
Id:https://orcid.org/0000-0003-0347-5979
Individual: Barbara Leoni
Organization:University of Milan-Bicocca
Email Address:
barbara.leoniatunimib.it
Id:https://orcid.org/0000-0001-9448-9457
Individual: Eleanor Mackay
Organization:Centre for Ecology and Hydrology
Email Address:
ellckaatceh.ac.uk
Id:https://orcid.org/0000-0001-5697-7062
Individual: Shin-Ichiro S. Matsuzaki
Organization:National Institute for Environmental Studies
Email Address:
matsuzakissatnies.go.jp
Id:https://orcid.org/0000-0003-2744-1343
Individual: Chris McBride
Organization:Environmental Research Institute
Email Address:
cmcbrideatwaikato.ac.nz
Id:https://orcid.org/0000-0001-5784-9767
Individual: Dorthe C Muller-Navarra
Organization:University of Hamburg
Email Address:
doerthe.mueller-navarraatuni-hamburg.de
Id:https://orcid.org/0000-0001-8841-6702
Individual: Andrew M. Paterson
Organization:Dorset Environmental Science Center
Email Address:
Andrew.Patersonatontario.ca
Id:https://orcid.org/0000-0002-4296-9528
Individual: Don Pierson
Organization:Uppsala University
Email Address:
don.piersonatebc.uu.se
Id:https://orcid.org/0000-0001-6230-0146
Individual: Michela Rogora
Organization:CNR Water Research Institute
Email Address:
michela.rogoraatirsa.cnr.it
Id:https://orcid.org/0000-0003-3515-0220
Individual: James A. Rusak
Organization:Dorset Environmental Science Center
Email Address:
Jim.Rusakatontario.ca
Id:https://orcid.org/0000-0002-4939-6478
Individual: Steven Sadro
Organization:University of California
Email Address:
ssadroatucdavis.edu
Id:https://orcid.org/0000-0002-6416-3840
Individual: Emilie Saulnier-Talbot
Organization:Universite Laval
Email Address:
emiliestathotmail.com
Id:https://orcid.org/0000-0002-7193-0577
Individual: Martin Schmid
Organization:Eawag, Swiss Federal Institute of Aquatic Science and Technology
Email Address:
Martin.Schmidateawag.ch
Id:https://orcid.org/0000-0001-8699-5691
Individual: Ruben Sommaruga
Organization:University of Innsbruck, Department of Ecology
Email Address:
Ruben.Sommarugaatuibk.ac.at
Id:https://orcid.org/0000-0002-1055-2461
Individual: Wim Thiery
Organization:Vrije Universiteit Brussel and ETH Zurich, Institute for Atmospheric and Climate Science
Email Address:
wim.thieryatenv.ethz.ch
Id:https://orcid.org/0000-0002-5183-6145
Individual: Piet Verburg
Organization:National Institute of Water and Atmospheric Research Ltd (NIWA)
Email Address:
Piet.Verburgatniwa.co.nz
Id:https://orcid.org/0000-0001-7574-9161
Individual: Kathleen C. Weathers
Organization:Cary Institute of Ecosystem Studies
Email Address:
weatherskatcaryinstitute.org
Id:https://orcid.org/0000-0002-3575-6508
Individual: Gesa A. Weyhenmeyer
Organization:Uppsala University
Email Address:
Gesa.Weyhenmeyeratebc.uu.se
Id:https://orcid.org/0000-0002-4013-2281
Individual: Kiyoko Yokota
Organization:State University of New York College at Oneonta (SUNY Oneonta)
Email Address:
Kiyoko.Yokotaatoneonta.edu
Id:https://orcid.org/0000-0002-4578-6540
Individual: Kevin C. Rose
Organization:Rensselaer Polytechnic Institute
Email Address:
rosek4atrpi.edu
Id:https://orcid.org/0000-0002-1292-9381
Contacts:
Individual: Stephen F Jane
Organization:Rensselaer Polytechnic Institute
Email Address:
janesatrpi.edu
Id:https://orcid.org/0000-0003-2968-359X
Individual: Kevin C. Rose
Organization:Rensselaer Polytechnic Institute
Email Address:
rosek4atrpi.edu
Id:https://orcid.org/0000-0002-1292-9381

Temporal, Geographic and Taxonomic Coverage

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

Time Period
Begin:
1980
End:
2017
Geographic Region:
Description:Worldwide, but primarily North America and Europe
Bounding Coordinates:
Northern:  68.2962Southern:  -42.6175
Western:  -180Eastern:  180

Project

Parent Project Information:

Title:MSB-ECA: Assessing the effects of cross-scale interactions mediating sub-continental lake thermal trends and carbon cycling
Personnel:
Individual: Kevin C Rose
Id:https://orcid.org/0000-0002-1292-9381
Role:Principal Investigator
Funding: National Science Foundation 1638704
Related Project:
Title:Collaborative LTREB Proposal: Will increases in dissolved organic matter accelerate a shift in trophic status through anoxia-driven positive feedbacks in an oligotrophic lake?
Personnel:
Individual: Kevin C Rose
Id:https://orcid.org/0000-0002-1292-9381
Role:Principal Investigator
Funding: National Science Foundation 1754265
Related Project:
Title:Spokes: SMALL: NORTHEAST: Collaborative: Building the Community to Address Data Integration of the Ecological Long Trail
Personnel:
Individual: Kevin C Rose
Id:https://orcid.org/0000-0002-1292-9381
Role:Principal Investigator
Funding: National Science Foundation 1761805

Maintenance

Maintenance:
Description:completed
Frequency:
Other Metadata

Additional Metadata

additionalMetadata
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        |___element 'metadata'
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        |     |___element 'unitList'
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        |     |     |     |  \___attribute 'multiplierToSI' = ''
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        |     |     |     |  \___attribute 'parentSI' = ''
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        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'joulesPerMeterSquare'
        |     |     |     |  \___attribute 'multiplierToSI' = ''
        |     |     |     |  \___attribute 'name' = 'joulesPerMeterSquare'
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        |     |     |     |___element 'description'
        |     |     |     |___text '\n        '
        |     |     |___text '\n      '
        |     |___text '\n    '
        |___text '\n  '

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