Percent abundance of 109 diatom species collected from a Foy Lake (Montana, USA) sediment core that was sampled every ∼5–20 years, yielding a ∼7 kyr record over 800 time-steps. This dataset is associated with the following publication: Spanbauer, T., C. Allen, D. Angeler, T. Eason , S. Fritz, A. Garmestani , K. Nash, J. Stone, C. Stow, and S. Sundstrom. Body size distributions signal a regime shift in a lake ecosystem. ECOSYSTEMS. Springer, New York, NY, USA, 283(1833): 00, (2016).

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Sediment diatoms are widely used to track environmental histories of lakes and their watersheds, but merging datasets generated by different researchers for further large-scale studies is challenging because of the taxonomic discrepancies caused by rapidly evolving diatom nomenclature and taxonomic concepts. Here we collated five datasets of lake sediment diatoms from the northeastern USA using a harmonization process which included updating synonyms, tracking the identity of inconsistently identified taxa and grouping those that could not be resolved taxonomically. The Dataset consists of a Portable Document Format (.pdf) file of the Voucher Flora, six Microsoft Excel (.xlsx) data files, an R script, and five output Comma Separated Values (.csv) files. The Voucher Flora documents the morphological species concepts in the dataset using diatom images compiled into plates (NE_Lakes_Voucher_Flora_102421.pdf) and the translation scheme of the OTU codes to diatom scientific or provisional names with identification sources, references, and notes (VoucherFloraTranslation_102421.xlsx). The file Slide_accession_numbers_102421.xlsx has slide accession numbers in the ANS Diatom Herbarium. The “DiatomHarmonization_032222_files for R.zip” archive contains four Excel input data files, the R code, and a subfolder “OUTPUT” with five .csv files. The file Counts_original_long_102421.xlsx contains original diatom count data in long format. The file Harmonization_102421.xlsx is the taxonomic harmonization scheme with notes and references. The file SiteInfo_031922.xlsx contains sampling site- and sample-level information. WaterQualityData_021822.xlsx is a supplementary file with water quality data. R code (DiatomHarmonization_032222.R) was used to apply the harmonization scheme to the original diatom counts to produce the output files. The resulting output files are five wide format files containing diatom count data at different harmonization steps (Counts_1327_wide.csv, Step1_1327_wide.csv, Step2_1327_wide.csv, Step3_1327_wide.csv) and the summary of the Indicator Species Analysis (INDVAL_RESULT.csv). The harmonization scheme (Harmonization_102421.xlsx) can be further modified based on additional taxonomic investigations, while the associated R code (DiatomHarmonization_032222.R) provides a straightforward mechanism to diatom data versioning. This dataset is associated with the following publication: Potapova, M., S. Lee, S. Spaulding, and N. Schulte. A harmonized dataset of sediment diatoms from hundreds of lakes in the northeastern United States. Scientific Data. Springer Nature, New York, NY, 9(540): 1-8, (2022).

We sampled 77 lakes in summer 2010 encompassing a range of disturbance (Low, Moderate, High). Disturbance was estimated based on landscape measures (e.g., trail density, proximity to roads) on both National Park and National Forest land. These lakes were sampled for physical habitat, water chemistry, physio-chemical profiles, zooplankton, littoral macroinvertebrates, and vertebrate assemblages using a peer-reviewed protocol for mountain lakes and ponds developed by the Klamath Inventory and Monitoring Program.

Wetlands Ecological Integrity Discrete Water Quality Logger data from 2007-2022 for Florissant Fossil Beds National Monument, Glacier National Park, Great Sand Dunes National Park, and Rocky Mountain National Park.

This data release describes data that were contributed to the Global Lakes Ecosystem Observation Network (GLEON) FunAqua project, a global data compilation effort. Goals of the FunAqua project are to document the drivers of global aquatic fungal diversity and determine the breadth of the niche of aquatic fungi locally, globally, and in relation to soil and leaves. Data contributed by the U.S. Geological Survey, Northern Prairie Wildlife Research Center include standard water-quality parameters (dissolved oxygen, pH, water temperature) that were measured during the collection of water and soil samples, which were submitted to the project for fungal analyses. Data and samples were collected during August of 2019 from natural wetlands and experimental ponds located Stutsman County, North Dakota, USA.

This dataset includes tables of stratigraphic age-depth information for Paisley Caves 2 and 5, in Oregon U.S.A., along with tables of stable and strontium isotopic data for fish remains and geological samples from the study area surrounding the Paisley Caves.