LAGOS-US Research Platform

The LAGOS-US Research Platform includes the 479,950 lakes and reservoirs > 1 ha in the 48 conterminous US states and tribes (Figure 1). LAGOS-US includes both core and extension data modules that are described below.

LAGOS-US_overview figure_dec13-2021

Figure 1. Diagram of the LAGOS-US research platform, consisting of three core modules (GEO, LOCUS, LIMNO) and four extension modules (RESERVOIR, DEPTH, NETWORKS, LANDSAT). The expectation is that other researchers will build other extension modules that can be added to the LAGOS-US platform by future users.

To ensure that our data products are usable by other researchers, we make other items available in the formats described below in the table. To see what has been published and is available from this table for LAGOS-US, please scroll down the page, for LAGOS-NE items, go here. We will continue to update this page as items are created and made accessible.

Last updated December 14, 2021.

LAGOS research platform-OVERVIEW_dec21

Table 1. LAGOS Research Platform components by data module and where they can be found (EDI repo. is Environmental Data Initiative repository; Zenodo repo. is Zenodo repository).

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LAGOSUS2

Figure 2. The 479,950 lakes and reservoirs ≥ 1 ha in the conterminous US.

 

LAGOS-US Core Modules

LAGOS-US LOCUS

Data Repository   |    User Guide   |     Code    |    Data Paper

Contains locational (i.e., latitude, longitude, elevation), identifying (i.e., lake names and identifiers across various lake datasets), and physical (i.e., area, perimeter, shape) information of all lakes ≥ 1 ha and their watersheds in the conterminous U.S. Additionally, LOCUS provides a  classification of freshwater connectivity (e.g., lakes that are hydrologically isolated seasonally) and identifies all lakes that were previously glaciated. Geospatial files for lakes and watersheds as well as tables for linking across other LAGOS and broad-scale lake databases are available. All LOCUS data can be linked across LAGOS data products using the unique lake identifier (lagoslakeid).

LOCUS Data citation:

  • Smith, N.J., K.E. Webster, L.K. Rodriguez, K.S. Cheruvelil, and P.A. Soranno. 2021. LAGOS-US LOCUS v1.0: Data module of location, identifiers, and physical characteristics of lakes and their watersheds in the conterminous U.S. ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/e5c2fb8d77467d3f03de4667ac2173ca (Accessed 2021-12-13).

Data paper citation:

  • Cheruvelil, K.S., Soranno, P.A., McCullough, I.M., Webster, K.E., Rodriguez, L.K. and Smith, N.J. (2021), LAGOS-US LOCUS v1.0: Data module of location, identifiers, and physical characteristics of lakes and their watersheds in the conterminous U.S. Limnol Oceanogr Letters 6: 270-292. https://doi-org.proxy1.cl.msu.edu/10.1002/lol2.10203

LAGOS-US GEO (Expected availability Feb 2022)

Data repository  |   User Guide    |   Code     |    Data Paper

Contains geospatial and temporal ecological context variables for all lakes in LOCUS characterized at multiple spatial divisions (e.g., equidistant buffers around lakes, watersheds, ecoregions). Ecological context variables were derived from various public datasets and pertain to land use/land cover, climate, hydrology, freshwater connectivity, terrain, soils, land ownership and protection, atmospheric pollution, and other human activities such as roads and dams.  

LAGOS-US LIMNO (Expected availability Fall 2022)

Data repository  |   User Guide    |   Code    |    Data Paper

Contains in situ surface-water and profile limnological physical, chemical, and biological measurements for a subset of lakes ≥ 1 ha through time. Water quality data were collected from the late 1980s to 2017 by approximately 250 different state, federal, citizen science, nonprofit, tribal, and university lake monitoring programs. We harmonized all data to ensure data compatibility across all programs (e.g., we standardized units and checked lab and field methods). In addition to the common water quality variables found in LAGOS-NE-LIMNO such as water clarity, nutrients, chlorophyll-a, dissolved organic carbon, and color, LAGOS-US-LIMNO provides observations of water temperature, dissolved oxygen, pH, alkalinity, conductivity, numerous ions and contaminants, turbidity, and microcystin. Detailed information on sampling (i.e., methods, dates, depths), as well as laboratory methods, are provided alongside lake observations.

LAGOS-US Extension Modules

LAGOS-US NETWORKS

Data Repository  |   User Guide  |     Code    |     Data Paper

Consists of 898 lake networks (86,511 total lakes ≥ 1ha) and provides quantitative freshwater connectivity metrics for those networks and lakes (Figure 5). A data paper that further explores this data module has been published (King et al. 2021)

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Figure 5. The 898 lake networks in the conterminous US in LAGOS-US-NETWORKS. Individual colors represent unique networks.

Data citation:

  • King, K.B., Q. Wang, L.K. Rodriguez, M. Haite, L. Danila, P. Tan, J. Zhou, and K.S. Cheruvelil. 2021. LAGOS-US NETWORKS v1.0: Data module of surface water networks characterizing connections among lakes, streams, and rivers in the conterminous U.S ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/98c9f11df55958065985c3e84a4fe995 (Accessed 2021-12-13).

Data paper citation:

LAGOS-US DEPTH

Data Repository  |   User Guide  |   Data Paper

Represents a manual compilation of mean and/or maximum depth of over 17,675 lakes ≥ 1 ha from a wide range of online sources (Figure 4).

LAGOSUS4

Figure 4. Lakes in the conterminous US with depth data in LAGOS-US-DEPTH.

Data citation:

  • Stachelek, J., L.K. Rodriguez, J. Díaz Vázquez, A. Hawkins, E. Phillips, A. Shoffner, I.M. McCullough, K.B. King, J. Namovich, L.A. Egedy, M. Haite, P.J. Hanly, K.E. Webster, K.S. Cheruvelil, and P.A. Soranno. 2021. LAGOS-US DEPTH v1.0: Data module of observed maximum and mean lake depths for a subset of lakes in the conterminous U.S. ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/64ddc4d04661d9aef4bd702dc5d8984f (Accessed 2021-12-13).

Data paper citation:

  • Coming soon;  In review in ASLO Bulletin

LAGOS-US RESERVOIR (Expected availability Spring 2022)

Data repository  |   User Guide    |    Code    |    Data Paper

Provides a predicted classification of all 137,465 lakes ≥ 4 ha as either a natural lake or reservoir using a machine-learning algorithm and aerial imagery (Figure 3). Classification accuracy was approximately 80%.

LAGOSUS3

Figure 3. Natural lakes (NL) and reservoirs (RSVR) (≥ 4 ha) in the conterminous US classified in LAGOS-US-RESERVOIR.

Data citation:

  • Coming soon

Data paper citation:

  • In review at Limnology & Oceanography Letters

LAGOS-US-LANDSAT (Expected available in 2022)

Data repository  |   User Guide    |    Code    |    Data Paper

Provides predicted water quality measurements for chlorophyll-a, water clarity, and colored dissolved organic matter for all lakes ≥ 4 ha. LANDSAT uses machine-learning models based on atmospherically corrected Landsat imagery and LIMNO data, in addition to lakewide values of reflectance for each Landsat band and satellite overpass.