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).

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: Angeler, D., T. Eason, A. Garmestani, T. Spanbauer, and C. Allen. Assessing cross-scale patterns and the composition of ecological communities of alternative lake regimes. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 01, (2018).

High-frequency in situ temperature and fluorescence parameters collected from 3 experimental lakes located at the University of Notre Dame Environmental Research Center in the upper peninsula of Michigan, USA. The field study involved collecting high frequency data from an unmanipulated reference lake and a second lake undergoing experimental fertilization to induce a critical transition in the form of an algal bloom. This dataset is associated with the following publication: Batt, R.D., T. Eason, and A. Garmestani. Time scale of resilience loss: Implications for managing critical transitions in water quality. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 14(10): 01-19, (2019).

Data is from National Aquatic Resource Surveys. This dataset is associated with the following publication: Riato, L., R. Hill, A. Herlihy, D. Peck, P. Kaufmann, J. Stoddard, and S. Paulsen. Genus-level, trait-based multimetric diatom indices for assessing the ecological condition of river and stream across the conterminous United States.. ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 141: 109131, (2022).

Rivers and Streams data for the National Aquatic Resource Surveys. This dataset is associated with the following publication: Herlihy, A., J. Sifneos, R. Hughes, D. Peck, and R. Mitchell. The Relation of Lotic Fish and Benthic Macroinvertebrate Condition Indices to Environmental Factors Across the Conterminous USA. ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 112: 105958, (2020).

The 4 resource surveys (coastal, rivers and streams, lakes and reservoirs, and wetlands) each have datasets covering the biological, chemical, physical habitat, hydrologic and watershed data. This dataset is associated with the following publication: Lomnicky, G.A., R.M. Hughes, D. Peck, and P. Ringold. Correspondence between a recreational fishery index and ecological condition for U.S.A. streams and rivers. Fisheries Research. Elsevier Science Ltd, New York, NY, USA, 223: 105749, (2021).

The Oregon stream temperatures used in Fig. 1 were sourced from 58 sites monitored by the Oregon Department of Environmental Quality and 17 sites monitored by The United States Geological Survey. These data are publicly available at https://www.oregon.gov/deq/wq/Pages/WQdata.aspx and https://waterdata.usgs.gov/nwis/sw, respectively. The water temperature data used in Figs. 2–4 are posted on GitHub at https://github.com/chris3jordan/Growth-Potential. The code for processing water temperature and growth potential data for Figs. 2–4 is posted on GitHub at https://github.com/chris3jordan/Growth-Potential. The code for the numerical simulation is posted on GitHub at https://github.com/aimeefullerton/growth_regime_IBM. This dataset is associated with the following publication: Armstrong, J.B., A.H. Fullerton, C.E. Jordan, J. Ebersole, J.R. Bellmore, I. Arismendi, B. Penaluna, and G.H. Reeves. The importance of warm habitat to the growth regime of cold-water fishes. Nature Climate Change. Nature Publishing Group, New York, NY, USA, 00994, (2021).

This dataset represents the dam density and storage volumes within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Inventory of Dams (NID). Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The NID database contains information about the dam2019s location, size, purpose, type, last inspection, regulatory facts, and other technical data. Structures on streams reduce the longitudinal and lateral hydrologic connectivity of the system. For example, impoundments above dams slow stream flow, cause deposition of sediment and reduce peak flows. Dams change both the discharge and sediment supply of streams, causing channel incision and bed coarsening downstream. Downstream areas are often sediment deprived, resulting in degradation, i.e., erosion of the stream bed and stream banks. This database was improved upon by locations verified by work from the USGS National Map (Jeff Simley Group). It was observed that some dams, some of them major and which do exist, were not part of the 2009 NID, but were represented in the USGS National Map dataset, and had been in the 2006 NID. Approximately 1,100 such dams were added, based on the USGS National Map lat/long and the 2006 NID attributes (dam height, storage, etc.) Finally, as clean-up, a) about 600 records with duplicate NIDID were removed, and b) about 300 records were removed which represented the same location of the same dam but with a different NIDID, for the largest dams (did visual check of dams with storage above 5000 acre feet and are likely duplicated - about the 10,000 largest dams). The (dams/catchment) and (dam_storage/catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a point data type.

This publication arises from a collaboration among federal agencies. U.S. EPA lead the water quality data collection, which is the data provided here. The data were obtained from ship-board sampling in spring and summer of 2017. This dataset is associated with the following publication: Kirkendall, D., D. Bunnell, P. Armenio, L. Eaton, A. Trebitz, and N. Watson. Spatial and temporal distributions of Dreissena spp. veligers in Lake Huron: Does calcium limit settling success?. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 47(4): 1040-1049, (2021).

The dataset is an excel file that contain data for the figures in the manuscript. This dataset is associated with the following publication: Sinnathamby, S., K. Douglas-Mankin, M. Muche, S. Hutchison, and A. Anandhi. Ecohydrological index, native fish, and climate trends and relationships in the Kansas River basin. ECOHYDROLOGY. Wiley Interscience, Malden, MA, USA, 11(1): e1909, (2018).