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105 results for “lake ice”
Lake Fryxell under-ice conductivity, temperature, and depth (CTD) profiles, McMurdo Dry Valleys, Antarctica, January 2025
To characterize the upper ~2 m of the water column beneath the ~3 m ice cover in Lake Fryxell, located in the McMurdo Dry Valleys of Antarctica, 27 CTD (conductivity, temperature, depth) profiles were collected at ~5 m horizontal spacing along a transect spanning the dive hole to the shoreline. Measurements were made using a YSI Castaway CTD mounted on a 1 m mast atop a remotely operated vehicle (ROV), profiling upward from ~2 m below the ice-water interface. Using an ROV rather than drilling a hole through the ice was intended to minimize artifacts associated with ice openings. Sampling late in the austral summer targeted conditions during maximum seasonal ice melt.
Lake ice thickness and density measurements, McMurdo Dry Valleys, Antarctica (1989-2025, ongoing)
As part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) project, ice thickness and density are measured annually for several lakes located throughout this region of Antarctica. Ice thickness is measured from the bottom of the ice cover to the piezometric water level and to the top of the ice cover. Because most limnological sampling holes are drilled in low-lying areas, it was thought that ice thickness measurements were biased. Therefore, random ice thickness measurements were performed in a 1000 m2 sampling grid on each lake in past years. Statistical analyses by Dr. Priscu have shown that measurements from three ice holes are representative of the ice thickness measured by this grid system.
North Temperate Lakes LTER: Ice Duration - Trout Lake Area 1981 - current
Data includes day of freeze-up and thaw dates of seven northern primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout, Crystal Bog, and Trout Bog). Observations are made approximately every other day during times of freeze and thaw. A lake is considered ice covered when the sampling station (the deepest part of the lake) is ice covered. The lake is considered thawed when it is possible to drive a boat from the boat landing to the sampling station without encountering ice. The ice duration is the number of days during the winter season that the lake surface was frozen. This is calculated using the average date of ‘lastopen’ and ‘ice_on’ for freeze-up, and the average date of ‘lastice’ and ‘ice_off’ for the thaw. The average is rounded forward. A few early years do not have all four dates so duration in those cases use whatever dates are available. The ‘comments’ column notes the dates when multiple freeze/thaws occurred during the winter. Sampling Frequency: annually. Number of sites: 7.
North Temperate Lakes LTER: Ice Duration - Madison Lakes Area 1853 - current
Data include dates of freeze-up, thaw, and ice duration of three primary lakes in the Madison area (Lake Mendota, Lake Monona, and Lake Wingra). Data are obtained from the State Climatologist. For Monona and Wingra, the freeze date (ice on) is defined as the first date on which the water body is observed to be completely ice covered, and the breakup date (ice off) is the date of the last breakup observed before the open water phase. Ice duration is the number of days that a water body is completely covered with ice and excludes any period during which the lake thawed in mid-winter before freezing again. For Mendota, duration is calculated in the same manner, but ice on and ice off dates are assigned as follows: the lake is deemed frozen if it has solid ice from Picnic Point to Maple Bluff, and total ice cover is greater than 50 %. The lake is deemed open if it is ice-free from Picnic Point to Maple Bluff and total ice cover is less than 50%. Sampling Frequency: annually. Number of sites: 3.
North Temperate Lakes LTER: Snow and Ice Depth 1982 - current
Snow and ice depth are measured during the winter months on the eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout lakes, unnamed lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog], Fish, Mendota, Monona and Wingra). 10 snow depth measurements are taken in a circle around the sampling location and averaged to single measurement. Sampling Frequency: every 6 weeks during ice-covered season in the north and typically once during the winter in the south. Number of sites: 11.
Lake snow removal experiment phytoplankton community data, under ice, 2019-2021
Although it is a historically understudied season, winter is now recognized as a time of biological activity and relevant to the annual cycle of north-temperate lakes. Emerging research points to a future of reduced ice cover duration and changing snow conditions that will impact aquatic ecosystems. The aim of the study was to explore how altered snow and ice conditions, and subsequent changes to under-ice light environment, might impact ecosystem dynamics in a north, temperate bog lake in northern Wisconsin, USA. This dataset resulted from a snow removal experiment that spanned the periods of ice cover on South Sparkling Bog during the winters of 2019, 2020, and 2021. During the winters 2020 and 2021, snow was removed from the surface of South Sparkling Bog using an ARGO ATV with a snow plow attached. The 2019 season served as a reference year, and snow was not removed from the lake. This dataset represents phytoplankton community samples (pooled epilimnion and hypolimnion samples representative of 7 m water column) both under-ice and during some shoulder-season (open water) dates. Samples were collected into amber bottles and preserved with Lugol's solution before they were sent to Phycotech Inc. (St. Joseph MI, USA) for phytoplankton taxonomic identification and quantification.
Water column changes under ice during diferent winters in a mid-latitude Mediterranean high mountain lake - Dataset
<p>Dataset of the research article <em>Water column changes under ice during diferent winters in a mid-latitude Mediterranean high mountain lake.</em></p> <p>Granados, I., Toro, M., Giralt, S., Camacho, A., Montes, C., 2020. Water column changes under ice during different winters in a mid-latitude Mediterranean high mountain lake. Aquatic Sciences 82, 30. <a href="https://doi.org/10/ggmkhv">https://doi.org/10/ggmkhv</a></p> <p> </p>
3D wind speed and CO2/H20 concentration measurements collected during austral summer 2017/2018 over an ice free surface of a shallow lake located in the Schirmacher oasis, East Antarctica.
<p>The data set includes measurements collected by the integrated CO2 and H2O open-path gas analyzer and 3-D sonic anemometer (Irgason by Campbell Scientific with serial number 1243, https://www.campbellsci.com/irgason). The instrument was operated from 01.01.2018 to 07.02.2018. It was deployed on the north-west shore of the Lake Zub/Priyadarshini (S70° 45′ 41.5″, E011° 44′ 16.6″) on the distance of 10 m from the coast. The instrument was placed on the aluminum tripod on the height of 2 m, and directed to south-eastwards (137 SE). Six metal guidelines were linked to anchors, and the boom was fixed on the tripod. Two rechargeable batteries (12V/33Ah) were used in additional to two solar panels to power supply of the instrument (irgason_deployment.jpg). The format of the output files is given in Irgason_output.pdf. The raw data are packed into the *.dat files (one per day) and then compressed (bz2). The calibration of the Irgason was done 21.08.2017 in the lab of the Finnish Meteorological Institute with standard zero-and-span procedure, and then the instrument is adjusted accordingly.</p>
Under-ice lake physicochemical data, Missisquoi Bay and Shelburne Pond, Vermont, USA, 2014-2015
This dataset contains under-ice physicochemical data from Missisquoi Bay and Shelburne Pond in Vermont, USA collected during the 2013-2014 and 2014-2015 winters and spring thaw periods. The main dataset contains data for ice depths, water column sampling depths, nutrient chemistry, chlorophyll a, and relevant physicochemical variables. Ancillary data includes nearby air temperature data for the study periods as well as river discharge data for contributing or nearby tributaries. Data collection is complete.
Ice Phenology Lake Auburn, Maine, USA, 1836-2022
This dataset contains ice phenology for Lake Auburn, Maine, USA from the ice season of 1835-1836 through 2021-2022. This dataset is maintained by the Auburn Water District/Lewiston Water Division. Ice-on data begin in the early 1950s.
Ice-off dates for Lake Sunapee, NH, USA, 1869-2022
This dataset reports observed ice-ff dates for Lake Sunapee, NH, USA from 1869 thorugh 2022. The data were maintained by the Town of Sunapee until 2021 and now the data are maintained by the Lake Sunapee Protective Association (LSPA).
Walleye spawning, ice phenology, and covariate data for Upper Midwestern Lakes: 1939-2019
The phenology of critical biological events in aquatic ecosystems are rapidly shifting due to climate change. Growing variability in phenological cues can increase the likelihood of trophic mismatches, causing recruitment failures in commercially, culturally, and recreationally important fisheries. We tested for changes in spawning phenology of regionally important walleye (Sander vitreus) populations in 194 Midwest US lakes in Minnesota, Michigan, and Wisconsin spanning 1939-2019 to investigate factors influencing walleye phenological responses to climate change and associated climate variability, including ice-off timing, lake physical characteristics, and population stocking history. Data from Wisconsin and Michigan lakes (185 and 5 out of 194 total lakes, respectively) were collected by the Wisconsin Department of Natural Resources (WDNR) and the Great Lakes Indian Fish and Wildlife Commission (GLIFWC) through standardized spring walleye mark-recapture surveys and spring tribal harvest season records. Standardized spring mark-recapture population estimates are performed shortly after ice-off, where following a marking event, a subsequent recapture sampling event is conducted using nighttime electrofishing (typically AC – WDNR, pulsed-DC – GLIFWC) of the entire shoreline including islands for small lakes and index stations for large lakes (Hansen et al. 2015) that is timed to coincide with peak walleye spawning activity (G. Hatzenbeler, WDNR, personal communication; M. Luehring, GLIFWC, personal communication; Beard et al. 1997). Data for four additional Minnesota lakes were collected by the Minnesota Department of Natural Resources (MNDNR) beginning in 1939 during annual collections of walleye eggs and broodstock (Schneider et al. 2010), where date of peak egg take was used to index peak spawning activity. For lakes where spawning location did not match the lake for which the ice-off data was collected, the spawning location either flowed into (Pike River) or wa
Itasca Biological Station Lake Ice Cover Data
Established in 1907, the Itasca Biological Station and Laboratories is a field station focused on conducting and promoting biological and ecological research. Part of this mission consists of long-term ecological monitoring efforts taken on by station staff. This dataset is one of such long-term efforts. Station staff tracked and recorded dates when lakes completely froze each winter (ice on, recorded when >99% of the lake was covered) as well as when they completely thawed each spring (ice off, recorded when >99% of the lake was open). Monitoring focused on Lake Itasca, with several other lakes in the region being added as various staff became associated with the Itasca Station.
Seasonality of in-lake and meteorological data from seven lakes, including daily measurements of water temperature, chlorophyll-a, dissolved oxygen, ice cover, air temperature, and solar radiation
This data product supports the manuscript "Seasons and seasonality in lakes: a synthesis amid global change" (Lewis et al. 2026; in review). Data were analyzed to understand how seasonality varies among diverse lakes and variables. Specifically, this data publication includes daily mean water temperature, chlorophyll-a, and dissolved oxygen at multiple depths, ice cover (binary), air temperature and solar radiation. Data availability and collection methods differ among lakes, as described in the Methods.
Lake ice surveys, 1874-2022, Adirondack Long-Term Ecological Monitoring Program Project No. 8 by Adirondack Ecological Center of the State University of New York College of Environmental Science and Forestry, Newcomb, New York. Environmental Data Initiative.
The objective of this dataset is to document ice-in and ice-out dates on several lakes on the State University of New York College of Environmental Science and Forestry's Huntington Wildlife Forest (HWF). Lakes include: Arbutus, Catlin, Deer, Military, Rich, Wolf and Lodo Pond; some records exist for Long Pond and other water bodies but they are not included here except in some comment fields.
Meteorological data collected on Toolik Lake during the ice free season since 1989 to 2009, Arctic LTER, Toolik Research Station, Alaska.
Yearly file describing the metological conditions on Toolik Lake (named the Toolik Lake Climate station), adjacent to the Toolik Field Research Station (68 38'N, 149 36'W). This is a floating climate station and should not be confused with the Toolik Field Station Climate site (TFS Climate Station or Met Station) which is a terrestrial station (located on land). Note that this land station has been called the "Toolik Main Climate Station", and the station on the lake is located where the main lake sampling site is located so it has also been called the Toolik Lake Main Climate Station. Measurements include air temperature, relative humidity, wind direction, wind speed, and radiation.
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.
Lake snow removal experiment snow, ice, and Secchi depth, 2019-2021
Although it is a historically understudied season, winter is now recognized as a time of biological activity and relevant to the annual cycle of north-temperate lakes. Emerging research points to a future of reduced ice cover duration and changing snow conditions that will impact aquatic ecosystems. The aim of the study was to explore how altered snow and ice conditions, and subsequent changes to under-ice light environment, might impact ecosystem dynamics in a north, temperate bog lake in northern Wisconsin, USA. This dataset resulted from a snow removal experiment that spanned the periods of ice cover on South Sparkling Bog during the winters of 2019, 2020, and 2021. During the winters 2020 and 2021, snow was removed from the surface of South Sparkling Bog using an ARGO ATV with a snow plow attached. The 2019 season served as a reference year, and snow was not removed from the lake. This dataset represents the snow depths, black and white ice thickness, and Secchi depths during the period of ice cover each winter.
Lake Ice Break-Up across Peripheral Greenland (2017-2021) from Sentinel-1 SAR
<p>Dataset from<br>Posch, C., Abermann, J., and Silva, T.: Lake ice break-up in Greenland: timing and spatiotemporal variability, The Cryosphere, 18, 2035–2059, https://doi.org/10.5194/tc-18-2035-2024, 2024.</p> <p>Timing of lake ice break-up for 563 lakes across peripheral South, Southwest and Northwest Greenland (< 71° N) from Sentinel-1 synthetic aperture radar (SAR) data for 2017-2021.<br>This is based on an automated detection from dynamic numerical thresholding which utilizes SAR backscatter differences between lake ice surface and open water.<br>The data proves to be conservative and exhibits a mean error of maximum 5 days (i.e., being 5 days later) in break-up timing which is based on a validation against lake ice observations.<br>Based on a observed variability of lake ice break-up timing in the studied period (+/- 8 days), we also produced estimates for a hypothetical 8-days-earlier break-up of all lakes and its manifestation in execess energy at the lake, which was calculated from site-specific RACMO2.3p incoming shortwave radiation data.<br>More information is to be found in the README file.</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.