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69 results for “lake level”
Perry et al. (2025) Data Package: Effects of diluted bitumen and remediation methods on lower trophic levels within boreal lake enclosures. Data were collected during 2019 at the IISD Experimental Lakes Area in Northwestern Ontario.
This data package corresponds to a research study by Perry et al. (2025) titled "The effects of diluted bitumen, the shoreline cleaner Corexit EC9580A, and bio-stimulation on the lower food web of a boreal lake, with a focus on natural phytoplankton communities." The study examines the effect of controlled spills of diluted bitumen and two remediation methods on lower trophic levels (phytoplankton, periphyton, zooplankton). The study was undertaken within shoreline enclosures within Lake 260 at the IISD Experimental Lakes Area during 2019. In addition to primary oil recovery using sorbent pads, the two secondary remediation methods: 1) enhanced monitoring natural recovery (eMNR) that included the biostimulation of microbial communities via a slow release nutrient fertilizer, and 2) a shoreline washing agent (SWA or SCA; Corexit 9580) used to increase oil removal from affected shorelines. This data package includes the response of perphyton and zooplankton.
Ecosystem-level Carbon dioxide fluxes in two long-term experimental wet sedge tundra sites near Toolik Lake, AK, ARC LTER 1994.
Ecosystem-level Carbon dioxide fluxes were measured in two long-term experimental wet sedge tundra sites near Toolik Lake, AK. Experimental treatments at each site included factorial nitrogenXphosphorus, greenhouse and shade house and were begun in 1985 (Sag site) or in 1988 (Toolik sites). Fluxes were measured on quadrats that were later sampled for biomass and leaf area.
North Temperate Lakes LTER: Macrophyte Species at Quadrat Level - Trout Lake 1993 - current
These data are collected to document and characterize the submersed macrophytes of Trout Lake, to evaluate the long-term stability of this component, and to interface with investigations of other compartments of the ecosystem. Four sites along the shoreline of Trout Lake have been sampled annually in August along permanent line transects. These are quadrat-species level data. This dataset only contains information on species that were present. It includes a row for every species-quadrat present. If a quadrat is missing, that quadrat was either empty or was not sampled. Sampling Frequency: annually during summer Number of sites: 4
Lake Water Level observations for 1036 lakes in Wisconsin, 1900 - 2015
This dataset contains the daily lake level observations and other lake attributes in Wisconsin. It covers 1036 lakes including 461 seepage lakes and 575 drainage lakes. It has 342,319 observations. The time span of this dataset is between January 1st, 1900 and December 31st, 2015. The data sources include USGS, Wisconsin Department of Natural Resources, North Temperate Lakes-Long Term Ecological Research (NTL-LTER), North Lakeland Discovery Center, Waushara County, and City of Shell Lake. Wisconsin Department of Natural Resources has two data sources: historical lake levels recorded in paper files and a recently-initiated citizen monitoring program. The latter are stored in Wisconsin DNR’s Surface Water Integrated Monitoring System (SWIMS). The data compilation consists of four major steps. First, data were retrieved from different data sources. Then data from different sources but for the same lakes were tied together using the datum information if possible. The WISCID is used to denote unique data sets by lake and data source. If two data sources could be tied to the same datum, they share a WISCID. Third, three rounds of quality assurance and quality control (QAQC) were conducted. Finally, more attributes such as lake area, lake depth, and lake type were added to the lakes. This data compilation was funded by the Wisconsin Groundwater Joint Solicitation.
North Temperate Lakes LTER: Groundwater Levels 1984 - current
Water levels in monitoring wells are measured several times throughout the year. The number of monitored wells has ranged over the study period from 19 to 44 wells. Currently, 37 wells are being monitored 4 - 5 times per year. The wells are scattered throughout the Trout Lake hydrological basin and the data are used to calibrate and test regional groundwater flow models. In addition (see related data set - Groundwater Chemistry), water chemistry is measured annually in a subset of 11 of these wells to characterize regional groundwater chemistry in the Trout Lake area. Sampling Frequency: varies - generally from 4 - 9 times a year Number of sites: 44
Lake level surveys in the McMurdo Dry Valleys, Antarctica (1968-2025, ongoing)
This data package contains lake level measurements from multiple lakes in the McMurdo Dry Valleys of Antarctica, collected seasonally as part of the McMurdo Dry Valleys Long Term Ecological Research (MCM LTER) program. Measurements were obtained manually using optical leveling techniques relative to established local benchmarks. Locations include Lake Fryxell, Lake Hoare, and the east lobe of Lake Bonney in Taylor Valley; Lake Vanda and Don Juan Pond in Wright Valley; Lake Vida in Victoria Valley; Lake Miers in Miers Valley; and Lake House and Lake Joyce in Pearse Valley. These long-term data provide valuable context for understanding lake level dynamics and hydrologic change in this polar desert ecosystem.
Landscape Position Project at North Temperate Lakes LTER: Fish Mercury Level 1998 - 1999
As part of the Landscape Position Project, yellow perch were collected for mercury and isotope analysis by a combination of angling, beach seining, vertical gill net, fyke net and electrofishing in the summers of 1998 and 1999. A total of 183 yellow perch from 43 study lakes with approximate length of 150 mm were analyzed. Sampling Frequency: one survey on each lake in late June through August of 1998 or 1999 Number of sites: 43
North Temperate Lakes LTER: Lake Levels 1981 - current
Lake level is measured during the open water season for the seven primary lakes in the Trout Lake area (Allequash, Big Muskellunge, Crystal, Sparkling, and Trout lakes and unnamed lakes 27-02 [Crystal Bog], and 12-15 [Trout Bog]) using Solinst level loggers in stilling wells logging at 30 minute intervals. Lake level elevation is also manually measured several times each season using a survey of benchmarks of known elevation to calibrate the level loggers. Prior to 2017, lake level was measured with staff gauges placed near the shoreline. Staff gauges were read every two weeks as part of LTER routine sampling. Two data files are provided. One has a sampling rate of roughly biweekly during the open water season. This provide sampling rate continuity through the 40+ years this data has been collected, and is in a long format. The second data file includes the full 30-minutes sampling rate that the Solinst level loggers provide. This latter data begins in 2017 and is given in a wide format with a column representing each of the seven lakes. Values are the water elevation in meters above sea level.
Salinity - water level relationships in shallow lakes: Data
<p>Data consists of water levels and salinity of 159 lakes across southwest Australia, collected as part of the South West Wetlands Monitoring Program (Lane et al., 2017). The data was collected between 1977 and 2019 by staff from the Department of Biodiversity Conservation and Attractions, Western Australia, and its predecessors. </p> <p>Description of files:</p> <p>SiteSummary.xlsx</p> <ul> <li>An Excel file with basic lake descriptions, including names and geographic coordinates. </li> </ul> <p>WaterData.csv</p> <ul> <li>A comma delimited ascii file consisting of a lake identifier, a date of observation, a lake level relative to the deepest bed elevation, the measured salinity (g/L).</li> </ul> <p>Bathymetry.xlsx</p> <ul> <li>An Excel file with bathymetries of a subset of lakes</li> </ul>
NEON lakes Level 0 multisonde temperature data - 2021
The National Ecological Observatory Network (NEON; https://www.neonscience.org) collects water temperature measurements from its seven lake sites using a temperature chain consisting of thermistors measuring at various depths throughout the water column. This data is published as part of the water temperature at specific depth in surface water data product (DP1.20264.001). During 2021, a misconfiguration resulted in gaps in this data. The multisonde used to measure water quality (DP1.20288.001) also collects water temperature measurements that can potentially be used to fill these gaps. This data is not published by NEON as part of the Level 1 water quality data product because it is not as accurate as the temperature chain derived measurements. The calibration of the multisonde temperature sensor is also factory set and cannot be adjusted. This data package contains the Level 0 multisonde water temperature data for NEON lake sites in 2021. This is raw data that has not been QA/QC'ed. NEON makes no guarantees about the accuracy of this data.
DNR Citizen Monitoring Lake Level Data from 2010 to 2015 in Wisconsin
The lake level data from the DNR citizen monitoring project. This ongoing project has been collecting lake level data from 20 lakes in 11 counties in Wisconsin since 2010. It features the citizen voluntary action in the monitoring work. The data are hosted by Surface Water Integrated Monitoring System so its short name in this dataset is SWIMS.
Lake Levels and Ice cover on local lakes at the Kellogg Biological Station, Hickory Corners, MI (1923 to 2022)
Dataset AbstractLake levels and ice cover have been measured on local lakes with the help cf citizen volunteers.original data source http://lter.kbs.msu.edu/datasets/122
McMurdo Dry Valleys LTER: High frequency, 1-min pressure measurements of continuous stage (lake level) and ice surface ablation from Lake Hoare, Antarctica from 2012-2016
As part of the McMurdo Dry Valleys Long Term Ecological Research program, continuous stage (lake level) and ice surface ablation were collected at Lake Hoare, located in Taylor Valley, Antarctica. This package contains data measured at 1-minute intervals from Nov 2012 to Apr 2013, Nov 2013 to Feb 2014, and Nov 2014 to Oct 2016.
Data set | Water- and land-borne geophysical surveys before and after the sudden water-level decrease of two large karst lakes in southern Mexico (v1.1)
<p>This repository contains raw and processed data along with the Matlab scripts used to prepare the visualizations presented in the manuscript</p> <p>Bücker, M., Flores Orozco, A., Gallistl, J., Steiner, M., Aigner, L., Hoppenbrock, J., Glebe, R., Morales Barrera, W., Pita de la Paz, C., García García, E., Razo Pérez, J.A., Buckel, J., Hördt, A., Schwalb, A., and Perez, L. (2020). <strong><em>Water- and land-borne geophysical surveys before and after the sudden water-level decrease of two large karst lakes in southern Mexico</em></strong>. Submitted to Solid Earth.</p> <p>If you find this data useful in your own research, please mention this data set and/or the manuscript.</p>
Increasing marsh bird abundance in coastal wetlands of the Great Lakes (2011–2021) likely caused by increasing water levels
<p class="MsoNoSpacing"><span>Wetlands of the Laurentian Great Lakes of North America, i.e., lakes Superior, Michigan, Huron, Erie, and Ontario, provide critical habitat for marsh birds. We used 11 years (2011–2021) of data collected by the Great Lakes Coastal Wetland Monitoring Program at 1,962 point count locations in 792 wetlands to quantify the first-ever annual abundance indices and trends of 18 marsh-breeding bird species in coastal wetlands throughout the entire Great Lakes. Nine species (50%) increased by 8–37% per year across all of the Great Lakes combined, whereas none decreased. Twelve species (67%) increased by 5–50% per year in at least 1 of the 5 Great Lakes, whereas only 3 species (17%) decreased by 2–10% per year in at least 1 of the lakes. There were more positive trends among lakes and species (<em>n </em>= 34, 48%) than negative trends (<em>n </em>= 5, 7%). </span><span>These large increases are welcomed because most of the species are of conservation concern in the Great Lakes. <span>Trends were likely caused by long-term, cyclical fluctuations in Great Lakes water levels. Lake levels increased over most of the study, which inundated vegetation and increased open water-vegetation interspersion and open water extent, all of which are known to positively influence abundance of most of the increasing species and negatively influence abundance of all of the </span>decreasing species. Coastal wetlands may be more important for marsh birds than once thought if they provide <span>high-lake-level-induced population pulses for species of conservation concern. Coastal wetland protection and restoration are of utmost importance to safeguard this process. Future climate projections show </span>increases in lake levels over the coming decades, which will cause "coastal squeeze" of many wetlands if they are unable to migrate landward fast enough to keep pace. If this happens, less habitat will be available to support periodic pulses in marsh bird abundance, which appear to be important for regional population dynamics. Actions that allow landward migration of coastal wetlands during increasing water levels <span>by removing or preventing barriers to movement, </span>such as shoreline hardening, will be useful for maintaining marsh bird breeding habitat in the Great Lakes.</span></p>
Fig. 5 in Spatial patterns of zooplanktivore Chirostoma species (Atherinopsidae) during water-level fluctuation in the shallow tropical Lake Chapala, Mexico: seasonal and interannual analysis
Fig. 5. (left column) Distribution-based Redundancy Analysis (db-RDA) ordination diagram of Lake Chapala with environmental variables (thick arrows), atherinopsids species (italic letters), sampling sites (numbers), and principal coordinates axes (thin arrows) at dry season (a: May of 1999) and rainy season (b: August of 1999; c: 2000). The fish are: jordani = Chirostoma jordani; consocium = Chirostoma consocium; labarcae = Chirostoma labarcae. The environmental variables are: Temp = temperature, DO = dissolved oxygen, Sal = salinity. In figure 5c shallow sites are in italic and deep sites in regular.
Fig. 3 in Spatial patterns of zooplanktivore Chirostoma species (Atherinopsidae) during water-level fluctuation in the shallow tropical Lake Chapala, Mexico: seasonal and interannual analysis
Fig. 3. GAM results for May and August of site influence on fish density to show differential distribution of species in Lake Chapala. a: Chirostoma jordani; b: Chirostoma consocium; c: Chirostoma labarcae. Circles represent the residuals. Spline fit (solid line) is bound by 95% confidence intervals (dotted lines).
Fig. 2 in Spatial patterns of zooplanktivore Chirostoma species (Atherinopsidae) during water-level fluctuation in the shallow tropical Lake Chapala, Mexico: seasonal and interannual analysis
Fig. 2. GAM results for May of environmental characteristics influence on fish density. a: effect of depth (m) on Chirostoma jordani; b: effect of temperature (°C) on C. jordani; c: effect of salinity on C. consocium. Circles represent the residuals. Spline fit (solid line) is bound by 95% confidence intervals (dotted lines).
Fig. 1 in Spatial patterns of zooplanktivore Chirostoma species (Atherinopsidae) during water-level fluctuation in the shallow tropical Lake Chapala, Mexico: seasonal and interannual analysis
Fig. 1. Map of Lake Chapala, Mexico. Numbers in bold represent sample sites and numbers in italic lake depths.
Timeseries of lake margin, lake area, water level, mascon solutions of Lago Greve
<p>These are the dataset of timeseries of lake extent, lake area, water level, and mass around the lake, of Lago Greve presented in the study.</p> <p>1. Lake extent<br> Filename: LagoGreve.shp<br> Note: LagoGreve.cpg, LagoGreve.dbf, LagoGreve.prj, LagoGreve.shx are also needed.</p> <p>2. Timeseries of lake area<br> Filename: LakeArea_LagoGreve.csv</p> <p>3. Timeseries of water level<br> Filename: Lakelevel_LagoGreve.csv</p> <p>4. Timeseries of grace mascon solution<br> Filename: MeanMasconLagoGreve_CSRv06.csv</p> <p>5. Fitting model for mascon solution<br> Filename: MeanMasconFitting.csv</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.