Data Package Metadata View Summary

High-frequency light attenuation measurements in 35 lakes: companion data from "Coefficients in Taylor’s Law increase with the time scale of water clarity measurements in a global suite of lakes"

General Information

Data Package:

Local Identifier:

edi.1555.1

Title:

High-frequency light attenuation measurements in 35 lakes: companion data from "Coefficients in Taylor’s Law increase with the time scale of water clarity measurements in a global suite of lakes"

Alternate Identifier:

DOI PLACE HOLDER

Abstract:

Identifying the scaling rules describing ecological patterns across time and space is a central challenge in ecology. Taylor’s Law of fluctuation scaling, which states that the variance of a population is proportional to a positive power of the mean, has been widely observed in population dynamics and characterizes variability in multiple scientific domains. However, it is unclear if this phenomenon accurately describes ecological patterns across many orders of magnitude in time, and therefore links otherwise disparate observations. This dataset uses light attenuation observations from 10,531 days of high-frequency measurements in 35 globally distributed lakes to test this unknown. We focus on water clarity as an integrative ecological characteristic that responds to both biotic and abiotic drivers. We provide documentation that variations in ecological measurements across diverse sites and temporal scales exhibit variance patterns consistent with Taylor’s Law, and that model coefficients increase in a predictable yet non-linear manner with decreasing observation frequency.

Publication Date:

2024-01-15

For more information:
Visit:	DOI PLACE HOLDER

Time Period

Begin:

1995

End:

2019

People and Organizations
Contact:	Glines, Max R. (Rensselaer Polytechnic Institute) [ email ]
Contact:	Rose, Kevin C. (Rensselaer Polytechnic Institute) [ email ]
Creator:	Glines, Max R. (Rensselaer Polytechnic Institute)
Creator:	Amancio, Renata C.H. (Universidade Federal de Minas Gerais)
Creator:	Andersen, Mikkel René (Dundalk Institute of Technology)
Creator:	Baulch, Helen (University of Saskatchewan)
Creator:	Brighenti, Ludmila S. (Universidade do Estado de Minas Gerais)
Creator:	Chmiel, Hannah E. (University of Kaiserslautern-Landau)
Creator:	de Eyto, Elvira (Marine Institute)
Creator:	Erina, Oxana (Lomosov Moscow State University)
Creator:	Feuchtmayr, Heidrun (Lancaster Environment Centre)
Creator:	Flaim, Giovanna (Fondazione Edmund Mach)
Creator:	Giudici, Andrea (Tallinn University of Technology)
Creator:	Hamilton, David P. (Griffith University)
Creator:	Huot, Yannick (Université de Sherbrooke)
Creator:	Kelly, Michael R. (Rensselaer Polytechnic Institute)
Creator:	Kelly, Seán (Inland Fisheries Ireland)
Creator:	Laas, Alo (Estonian University of Life Sciences)
Creator:	McBride, Christopher (University of Waikato)
Creator:	Minaudo, Camille (École Polytechnique Fédérale de Lausanne)
Creator:	Neto, Jose Fernandes Bezerra (Universidade Federal de Minas Gerais)
Creator:	Nugent, Katy (University of Saskatchewan)
Creator:	Ordóñez, César (University of Geneva)
Creator:	Perga, Marie-Elodie (University of Lausanne)
Creator:	Reid, Brian (Centro de Investigación en Ecosistemas de la Patagonia)
Creator:	Scott, Caren (National Ecological Observatory Network)
Creator:	Staehr, Peter A.U. (Aarhus University)
Creator:	Tonetta, Denise (Nordic Harvest)
Creator:	Wain, Danielle (7 Lakes Alliance)
Creator:	Ward, Nicole K. (Minnesota Department of Natural Resources)
Creator:	Rose, Kevin C. (Rensselaer Polytechnic Institute)

Data Entities
Data Table Name:	light_data
Description:	High-frequency light data for 32 lakes across the globe. This data was used to generate light attenuation values that were used in the corresponding manuscript and are not subject to any of the quality control and checks performed in the manuscript. All depth measurements are in meters, with negative values denoting distance above the surface and a value of 0 denoting immediately above the lake surface. Units for the light measurements are provided in the Units column. Note: raw light data is not available for the three lakes in Denmark, as light attenuation measurements were taken from previously published data.
Data Table Name:	daily_light_attenuation
Description:	Average daily light attenuation values for each lake following processing of the raw light data
Data Table Name:	lake_information
Description:	Description and characteristics of the 35 lakes from which high-frequency light data was collected.
Other Name:	Additional_data
Description:	Contains light attenuation data processed into a format ready for Taylor's Law analysis for reproduction purposes. Users can also generate these data themselves from the raw data using the scripts included elsewhere in this package. Also includes data from the Water Quality Portal that was used in the manuscript. Water Quality Portal data is publicly available.
Other Name:	Scripts
Description:	R scripts used in the analysis for the manuscript

Detailed Metadata

Data Entities

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/edi/1555/1/2651cad16936ba6970ef82b8c74353ec
Name:	light_data
Description:	High-frequency light data for 32 lakes across the globe. This data was used to generate light attenuation values that were used in the corresponding manuscript and are not subject to any of the quality control and checks performed in the manuscript. All depth measurements are in meters, with negative values denoting distance above the surface and a value of 0 denoting immediately above the lake surface. Units for the light measurements are provided in the Units column. Note: raw light data is not available for the three lakes in Denmark, as light attenuation measurements were taken from previously published data.
Number of Records:	16190302
Number of Columns:	5

Table Structure

Object Name:

light_data.csv

Size:

877917663 byte

Authentication:

94c1dc8f02238e2ec147a57a8bff9d61 Calculated By MD5

Text Format:

Number of Header Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

Lake

Units

Datetime

Depth

Light

Column Name:

Lake

Units

Datetime

Depth

Light

Definition:

Name of the lake

Units of the light measurements, either umol/m2/s or Lux depending on the sensor used

Local date and time of measurement

Depth of the light measurement

Light sensor reading, units specified in the Units column

Storage Type:

string

dateTime

float

Measurement Type:

nominal

dateTime

ratio

Measurement Values Domain:

Definition

text

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	umol/m2/s
Definition	micromoles per square meter per second (photosynthetic photon flux density)
Source

Code Definition

Code	lux
Definition	Lumens per square meter
Source

Code Definition

Code	uW/cm2
Definition	microWatts per square centimeter
Source

Format	YYYY-MM-DD hh:mm:ss
Precision

Unit	meter
Type	real

Unit	variable
Type	real

Missing Value Code:

Code	NA
Expl	Not Available

Code	NA
Expl	Not Available

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/edi/1555/1/2eb17e35679335807f77bdb66cdcae2d
Name:	daily_light_attenuation
Description:	Average daily light attenuation values for each lake following processing of the raw light data
Number of Records:	15967
Number of Columns:	3

Table Structure

Object Name:

daily_light_attenuation.csv

Size:

476498 byte

Authentication:

cbf420e6d363544818930a3e368e2067 Calculated By MD5

Text Format:

Number of Header Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

Lake

Date

Column Name:

Lake

Date

Definition:

Name of the lake

Date

Light attenuation coefficient

Storage Type:

string

dateTime

float

Measurement Type:

nominal

dateTime

ratio

Measurement Values Domain:

Definition

text

Format	YYYY-MM-DD
Precision

Unit	(1/m)
Type	real

Missing Value Code:

Code	NA
Expl	No data available or the date was filtered out in the quality control process

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/edi/1555/1/5c7f150f4b082926a039305978241302
Name:	lake_information
Description:	Description and characteristics of the 35 lakes from which high-frequency light data was collected.
Number of Records:	35
Number of Columns:	24

Table Structure

Object Name:

lake_information.csv

Size:

4445 byte

Authentication:

c75252ccb0a2ea590546077585dcac28 Calculated By MD5

Text Format:

Number of Header Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

Lake

Sensor

Samling Frequency (mins)

Number of Days Used

Dates collected

Latitude

Longitude

Surface Area (km2)

Mean Depth (m)

Max Depth (m)

Residence Time (yr)

Trophic State

Mixing

Catchment Area (km2)

% Urban

% Agriculture

% Wetland

% Forest

% Grassland

% Other

Chlorophyll (ug/L)

Turbidity (NTU)

fDOM

DOC (mg/L)

Column Name:

Lake

Sensor

Samling Frequency

Number of Days Used

Dates collected

Latitude

Longitude

Surface Area

Mean Depth

Max Depth

Residence Time

Trophic State

Mixing

Catchment Area

% Urban

% Agriculture

% Wetland

% Forest

% Grassland

% Other

Chlorophyll

Turbidity

fDOM

DOC

Definition:

Name of the lake

Sensor model used to take the light measurements

Frequency at which light measurements were collected by the sensor

The number of unique days included for each lake

Time range in which the sensors were collecting light data

Latitude

Longitude

Lake surface area

Mean lake depth

Maximum lake depth

Hydrologic residence time

Lake trophic state

Lake mixing regime

Watershed area

Percentage of the watershed defined as urban land cover or land use

Percentage of the watershed defined as agricultural land cover or land use

Percentage of the watershed defined as wetlands land cover or land use

Percentage of the watershed defined as forested land cover or land use

Percentage of the watershed defined as grassland land cover or land use

Percentage of the watershed not classified as urban, agriculture, wetlands, grassland, or forested land cover or land use

Average concentration of chlorophyll-a

Average turbidity

Average fluorescent dissolved organic matter

Average concentration of dissolved organic carbon

Storage Type:

string

float

string

float

string

float

Measurement Type:

nominal

ratio

nominal

ratio

nominal

ratio

Measurement Values Domain:

Definition

text

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	Apogee
Definition	Apogee-brand sensor
Source

Code Definition

Code	LI-COR
Definition	Li-COR-brand sensor
Source

Code Definition

Code	Odyssey
Definition	Odyssey-brand sensor
Source

Code Definition

Code	Onset
Definition	Onset-brand sensor
Source

Code Definition

Code	Sea-Bird
Definition	Sea-Bird-brand sensor
Source

Unit	minute
Type	integer

Unit	Day
Type	integer

Definition

text

Unit	degree
Type	real

Unit	degree
Type	real

Unit	kilometerSquared
Type	real

Unit	meter
Type	real

Unit	meter
Type	real

Definition

text

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	D
Definition	Dystrophic
Source

Code Definition

Code	E
Definition	Eutrophic
Source

Code Definition

Code	H
Definition	Hypereutrophic
Source

Code Definition

Code	M
Definition	Mesotrophic
Source

Code Definition

Code	M-E
Definition	Meso-eutrophic
Source

Code Definition

Code	M-O
Definition	Meso-oligotrophic
Source

Code Definition

Code	O
Definition	Oligotrophic
Source

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	Di
Definition	Dimictic
Source

Code Definition

Code	Iso
Definition	Isothermal
Source

Code Definition

Code	Mero
Definition	Meromictic
Source

Code Definition

Code	Mono
Definition	Monomictic
Source

Code Definition

Code	Poly
Definition	Polymictic
Source

Unit	kilometerSquared
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	microgramPerLiter
Type	real

Unit	Nephelometric Turbidity Unit
Type	real

Unit	Relative fluorescence units (RFU)
Type	real

Unit	milligramPerLiter
Type	real

Missing Value Code:

Code	NA
Expl	Unknown mean depth

Code	NA
Expl	Unknown residence time

Code	NA
Expl	Unknown mixing regime

Code	NA
Expl	Unknown watershed area

Code	NA
Expl	Unknown

Code	NA
Expl	Unknown

Code	NA
Expl	Unknown

Code	NA
Expl	Unknown

Code	NA
Expl	Unknown

Code	NA
Expl	Unknown

Code	NA
Expl	Unknown

Code	NA
Expl	Unknown

Code	NA
Expl	Unknown

Code	NA
Expl	Unknown

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Non-Categorized Data Resource

Name:

Additional_data

Entity Type:

application/zip

Description:

Contains light attenuation data processed into a format ready for Taylor's Law analysis for reproduction purposes. Users can also generate these data themselves from the raw data using the scripts included elsewhere in this package. Also includes data from the Water Quality Portal that was used in the manuscript. Water Quality Portal data is publicly available.

Physical Structure Description:

Object Name:

Additional_data.zip

Size:

170899761 byte

Authentication:

15058da0decfc7e1fb2289cecdddb491 Calculated By MD5

Externally Defined Format:

Format Name:

application/zip

Data:

https://pasta-s.lternet.edu/package/data/eml/edi/1555/1/c06731978461ad6d2c512888f840f1a3

Non-Categorized Data Resource

Name:

Scripts

Entity Type:

application/zip

Description:

R scripts used in the analysis for the manuscript

Physical Structure Description:

Object Name:

Scripts.zip

Size:

18166 byte

Authentication:

2b796a0dc588a75818b21ede4d3c0164 Calculated By MD5

Externally Defined Format:

Format Name:

application/zip

Data:

https://pasta-s.lternet.edu/package/data/eml/edi/1555/1/a83f1ca5ad00b39773d9e6a26b0e70b2

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)	light attenuation, Taylor's Law, high-frequency sensors, Secchi depth
LTER Controlled Vocabulary	lakes

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:

Light data was collected from a set of underwater light sensors, a combination of underwater and above-water sensors, or vertical profilers. The exact setup of the sensors varied across lakes. Sensor models used include LI-COR, Onset, Odyssey, Apogee, and Sea-Bird light sensors. Onset sensors measured light in lux, while all other models measured photosynthetically active radiation (PAR) in micromoles per square meter per second. Raw light values were converted to light attenuation values according to the methods below, which are taken directly from the accompanying manuscript:

To convert light measurements from paired sensors into light attenuation, we used the following equation (Kirk, 1994):

Kd=1/(z2-z1 )ln(Ed(z1))/(Ed(z2 ))

where Ed(z) is the measurement of downward irradiance at depth z and z2>z1. In the cases where more than 2 underwater light sensors or a vertical profiler was used (16 lakes), Kd was calculated as the slope of the fitted regression line of ln(Ed) vs depth. Light measurements were obtained as PAR (umol/m2/s), Lux (lumens/m2), or wavelength-specific measurements (uW/cm2/nm). Although Lux and PAR both span 400 nm to 700 nm in the electromagnetic spectrum, they are not equivalent spectra. While Lux can be converted to PAR by calibration using in situ measurements (Long et al., 2012), only 4 of the 17 lakes using Lux measurements had this conversion available. Therefore, Lux measurements were not converted to PAR for the purpose of Kd calculation. A detailed treatment of potential limitations and assumptions on sensor design and deployment is included in the supplemental section of this paper. For comparison, wavelength-specific measurements were converted to PAR as the sum of all light measurements between 400 nm and 700 nm before calculating Kd.

To ensure calculations were minimally influenced by the effects of sun angle and low-light conditions, we only used light measurements taken within 3 hours of local solar noon. While sun angle will impact light attenuation based on season and latitude (Kirk, 1994), this was not found to affect daily rates of change and the effects of seasonal sun angle were not considered in this analysis, except for the consideration of albedo when necessary. For lakes with an above-water sensor, we adjusted surface irradiance to irradiance just below the surface according to Paulson and Pegau (2001):

Ed^(0-)=(1-a)Ed

where Ed^(0-) is irradiance just below the surface, a is albedo, and Ed is downwelling surface irradiance. We estimated albedo based on the solar zenith angle (zen) according to Briegleb et al., 1984:

a = 1/100(2.6/(1.1cos(zen)^1.7+0.065) +15[cos(zen )-0.1][cos(zen )-0.5][cos(zen)-1])

We calculated all values of solar zenith angle based on local time and latitude using the R package suncalc (v. 0.5.0). Interferences such as wave focusing, buoy shadows, and wiper placement can affect light attenuation calculations. To reduce their effect on daily light attenuation estimates, after calculating Kd for each time step, we removed data points where the ratio of irradiance at the lower light sensor to that at the upper light sensor was outside the first and third quartile of the distribution for each day’s observations. Data points where more irradiance was measured at the lower sensor than the upper sensor were then removed, obvious erratic measurements were manually removed (i.e., measurements where sensors were not underwater or were affected by fouling), and the remaining measurements were used to calculate light attenuation as a daily average. Days were removed from further analyses if more than 75% of the measurements within the daily six-hour window were removed by this process (n = 443 days), and the remaining days were used to generate a time series.

References:

Briegleb, B. P., Minnis, P., Ramanathan, V., & Harrison, E. (1986). Comparison of regional clear-sky albedos inferred from satellite observations and model computations. In Journal of Climate & Applied Meteorology (Vol. 25, Issue 2, pp. 214–226). https://doi.org/10.1175/1520-0450(1986)025<0214:CORCSA>2.0.CO;2

Kirk, J.T.O. (1994). Light and photosynthesis in aquatic ecosystems, third edition. Cambridge University Press. https://doi.org/10.1017/CBO9781139168212

Long, M. H., Rheuban, J. E., Berg, P., & Zieman, J. C. (2012). A comparison and correction of light intensity loggers to photosynthetically active radiation sensors. Limnology and Oceanography: Methods, 10(JUNE), 416–424. https://doi.org/10.4319/lom.2012.10.416

Paulson, C. A., & Pegau, W. S. (2001). Penetrating shortwave radiation. Encyclopedia of Ocean Sciences, 4, 379–384. https://doi.org/10.1016/B978-012374473-9.00154-5

Instrument(s):

Underwater light sensors: LI-COR, Onset, Apogee, Sea-Bird, and Odyssey

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:

Max R. Glines

Organization:

Rensselaer Polytechnic Institute

Email Address:

glinem@rpi.edu

Id:

https://orcid.org/0000-0002-9911-6841

Individual:	Renata C.H. Amancio
Organization:	Universidade Federal de Minas Gerais

Individual:	Mikkel René Andersen
Organization:	Dundalk Institute of Technology

Individual:	Helen Baulch
Organization:	University of Saskatchewan

Individual:	Ludmila S. Brighenti
Organization:	Universidade do Estado de Minas Gerais

Individual:	Hannah E. Chmiel
Organization:	University of Kaiserslautern-Landau

Individual:	Elvira de Eyto
Organization:	Marine Institute

Individual:	Oxana Erina
Organization:	Lomosov Moscow State University

Individual:	Heidrun Feuchtmayr
Organization:	Lancaster Environment Centre

Individual:	Giovanna Flaim
Organization:	Fondazione Edmund Mach

Individual:	Andrea Giudici
Organization:	Tallinn University of Technology

Individual:	David P. Hamilton
Organization:	Griffith University

Individual:	Yannick Huot
Organization:	Université de Sherbrooke

Individual:	Michael R. Kelly
Organization:	Rensselaer Polytechnic Institute

Individual:	Seán Kelly
Organization:	Inland Fisheries Ireland

Individual:	Alo Laas
Organization:	Estonian University of Life Sciences

Individual:	Christopher McBride
Organization:	University of Waikato

Individual:	Camille Minaudo
Organization:	École Polytechnique Fédérale de Lausanne

Individual:	Jose Fernandes Bezerra Neto
Organization:	Universidade Federal de Minas Gerais

Individual:	Katy Nugent
Organization:	University of Saskatchewan

Individual:	César Ordóñez
Organization:	University of Geneva

Individual:	Marie-Elodie Perga
Organization:	University of Lausanne

Individual:	Brian Reid
Organization:	Centro de Investigación en Ecosistemas de la Patagonia

Individual:	Caren Scott
Organization:	National Ecological Observatory Network

Individual:	Peter A.U. Staehr
Organization:	Aarhus University

Individual:	Denise Tonetta
Organization:	Nordic Harvest

Individual:	Danielle Wain
Organization:	7 Lakes Alliance

Individual:	Nicole K. Ward
Organization:	Minnesota Department of Natural Resources

Individual:

Kevin C. Rose

Organization:

Rensselaer Polytechnic Institute

Email Address:

rosek4@rpi.edu

Contacts:

Individual:

Max R. Glines

Organization:

Rensselaer Polytechnic Institute

Email Address:

glinem@rpi.edu

Id:

https://orcid.org/0000-0002-9911-6841

Individual:

Kevin C. Rose

Organization:

Rensselaer Polytechnic Institute

Email Address:

rosek4@rpi.edu

Id:

https://orcid.org/0000-0002-1292-9381

Metadata Providers:

Individual:

Max R. Glines

Email Address:

glinem@rpi.edu

Id:

https://orcid.org/0000-0002-9911-6841

Temporal, Geographic and Taxonomic Coverage

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

Time Period

Begin:

1995

End:

2019

Geographic Region:

Description:

Data was collected from 35 lakes around the globe located within these bounding coordinates. Specific lake coordinates can be found in the lake information file.

Bounding Coordinates:

Northern:	68.631	Southern:	-47.175
Western:	-149.611	Eastern:	176.1

Project

Parent Project Information:

Title:

MSB-ECA: Assessing the effects of cross-scale scale interactions mediating sub-continental lake thermal trends and carbon cycling

Personnel:

Individual:

Kevin C. Rose

Organization:

Rensselaer Polytechnic Institute

Email Address:

rosek4@rpi.edu

Id:

https://orcid.org/0000-0002-1292-9381

Role:

Principal Investigator

Additional Award Information:

Funder:	National Science Foundation
Number:	1638704
Title:	MSB-ECA: Assessing the effects of cross-scale scale interactions mediating sub-continental lake thermal trends and carbon cycling
URL:	https://www.nsf.gov/awardsearch/showAward?AWD_ID=1638704&HistoricalAwards=false

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
Organization:	Rensselaer Polytechnic Institute
Id:	https://orcid.org/0000-0002-1292-9381
Role:	Principal Investigator

Additional Award Information:

Funder:	National Science Foundation
Number:	1754265
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?
URL:	https://www.nsf.gov/awardsearch/showAward?AWD_ID=1754265&HistoricalAwards=false

Related Project:

Title:

Spokes: SMALL: NORTHEAST: Collaborative: Building the Community to Address Data Integration of the Ecological Long Tail

Personnel:

Individual:	Kevin C. Rose
Organization:	Rensselaer Polytechnic Institute
Id:	https://orcid.org/0000-0002-1292-9381
Role:	Principal Investigator

Additional Award Information:

Funder:	National Science Foundation
Number:	1761805
Title:	Spokes: SMALL: NORTHEAST: Collaborative: Building the Community to Address Data Integration of the Ecological Long Tail
URL:	https://www.nsf.gov/awardsearch/showAward?AWD_ID=1761805&HistoricalAwards=false

Related Project:

Title:

Understanding Water Quality and Quantity in the Limpopo Basin

Personnel:

Individual:	Kevin C. Rose
Organization:	Rensselaer Polytechnic Institute
Id:	https://orcid.org/0000-0002-1292-9381
Role:	Principal Investigator

Additional Award Information:

Funder:	USAID Southern Africa
Number:	72067419FA00001
Title:	Understanding Water Quality and Quantity in the Limpopo Basin

Related Project:

Title:

New York State Higher Education Capital

Personnel:

Individual:	Kevin C. Rose
Organization:	Rensselaer Polytechnic Institute
Id:	https://orcid.org/0000-0002-1292-9381
Role:	Principal Investigator

Additional Award Information:

Funder:	New York State
Number:	7290
Title:	New York State Higher Education Capital

Related Project:

Title:

UK Status, Change and Projections of the Environment (UK-SCaPE)

Personnel:

Individual:	Heidrun Feuchtmayr
Organization:	UK Centre for Ecology & Hydrology
Id:	https://orcid.org/0000-0002-2028-4843
Role:	Principal Investigator

Additional Award Information:

Funder:	Natural Environmental Research Council
Number:	NE/R016429/1
Title:	UK Status, Change and Projections of the Environment (UK-SCaPE)

Related Project:

Title:

BEYOND 2020 project

Personnel:

Individual:	Seán Kelly
Organization:	Marine Institute
Role:	Principal Investigator

Individual:	Mikkel René Andersen
Organization:	Dundalk Institute of Technology
Role:	Principal Investigator

Additional Award Information:

Funder:	Marine Research Programme
Number:	PBA/FS/16/02
Title:	BEYOND 2020

Related Project:

Title:

Long-Term Ecological Research

Personnel:

Individual:	Ludmila S. Brighenti
Organization:	Universidade do Estado de Minas Gerais
Role:	Principal Investigator

Additional Award Information:

Funder:	National Council for Scientific and Technological Development
Number:	No. 403698/2012-0
Title:	Long-Term Ecological Research/National Research Council—CNPq

Related Project:

Title:

Modelling lake carbon fluxes from high-frequency gas exchange measurements

Personnel:

Individual:	Alo Laas
Organization:	Estonian University of Life Sciences
Role:	Principal Investigator

Additional Award Information:

Funder:	Estonian Research Council
Number:	PSG32
Title:	Modelling lake carbon fluxes from high-frequency gas exchange measurements
URL:	https://www.etis.ee/Portal/Projects/Display/86a87032-2426-4d3e-9a17-2f47917a2c56

Related Project:

Title:

Unravelling the 'black box' of organic phosphorus in catchment-lake system

Personnel:

Individual:	Peeter Nõges
Organization:	Estonian University of Life Sciences
Role:	Principal Investigator

Additional Award Information:

Funder:	Estonian Research Council
Number:	PRG1167
Title:	Unravelling the 'black box' of organic phosphorus in catchment-lake system

Related Project:

Title:

Nitrogen in lakes – new perspectives and challenges for winter limnology

Personnel:

Individual:	Tiina Nõges
Organization:	Estonian University of Life Sciences
Role:	Principal Investigator

Additional Award Information:

Funder:	Estonian Research Council
Number:	PRG709
Title:	Nitrogen in lakes – new perspectives and challenges for winter limnology

Related Project:

Title:

Collaborative research: Disease ecology in the midst of anthropogenic stressors: Exploring the influence of pesticides on host-parasite interactions

Personnel:

Individual:	Rick Relyea
Organization:	Rensselaer Polytechnic Institute
Role:	Principal Investigator

Additional Award Information:

Funder:	National Science Foundation
Number:	1655168
Title:	Collaborative research: Disease ecology in the midst of anthropogenic stressors: Exploring the influence of pesticides on host-parasite interactions

Related Project:

Title:

Methane Paradox

Personnel:

Individual:	Daniel F. McGinnis
Organization:	University of Geneva
Role:	Principal Investigator

Additional Award Information:

Funder:	Swiss National Science Foundation
Number:	200021_169899
Title:	University of Geneva

Maintenance

Maintenance:

Description:	This is the data used for the manuscript "Coefficients in Taylor’s Law increase with the time scale of water clarity measurements in a global suite of lakes." Data may be updated pending review of the manuscript.
Frequency:	asNeeded

Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'unitList'
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'variable'
        |     |     |     |  \___attribute 'name' = 'variable'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Either umol/m2/s or lux depending on the sensor used, units are assigned in the "Units" column'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'Day'
        |     |     |     |  \___attribute 'name' = 'Day'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'One day'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'Nephelometric Turbidity Unit'
        |     |     |     |  \___attribute 'name' = 'Nephelometric Turbidity Unit'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Standard unit to measure turbidity in water'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'Relative fluorescence units (RFU)'
        |     |     |     |  \___attribute 'name' = 'Relative fluorescence units (RFU)'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Unit used by many high-frequency loggers to quantify fDOM and other optical properties. RFU is often calibrated to other measures, but these values are uncalibrated'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = '(1/m)'
        |     |     |     |  \___attribute 'name' = '(1/m)'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Standard unit of light extinction measurements, 1/meter'
        |     |     |     |___text '\n            '
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'emlEditor'
        |     |        \___attribute 'app' = 'ezEML'
        |     |        \___attribute 'release' = '2024.01.12'
        |     |___text '\n      '
        |___text '\n   '

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

Data Package Metadata View Summary

High-frequency light attenuation measurements in 35 lakes: companion data from "Coefficients in Taylor’s Law increase with the time scale of water clarity measurements in a global suite of lakes"

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Data Table

Data Table

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Non-Categorized Data Resource

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Temporal, Geographic and Taxonomic Coverage

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Maintenance

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Data Package Metadata View Summary

High-frequency light attenuation measurements in 35 lakes: companion data from "Coefficients in Taylor’s Law increase with the time scale of water clarity measurements in a global suite of lakes"

+/- Data Entities

Data Table

Data Table

Data Table

Non-Categorized Data Resource

Non-Categorized Data Resource

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Methods and Protocols

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Additional Metadata