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214 results for “mountain lake”
Long-term record of lake and stream biogeochemistry from the Loch Vale Watershed, Rocky Mountain National Park, Colorado, USA: 1981-2024
The Loch Vale Watershed (LVWS) Project is a long-term research and monitoring program that addresses watershed-scale ecosystem processes, particularly as they respond to atmospheric deposition and climate variability. The LVWS is a 7-km2 high-altitude basin located within Rocky Mountain National Park in the Colorado Front Range (Colorado, United States of America). This dataset includes year-round measurements of physical water parameters, nutrients, major ions, trace metals, silica, and chlorophyll collected from lakes and streams within the LVWS basin. Related data entities: Scanned field notebooks from the Loch Vale Watershed Project from 1981-2023 are available via this published data release: https://www.sciencebase.gov/catalog/item/6723cba2d34e4f57573e8e45. Quality assurance reports from the Loch Vale Watershed Project are available for specific time periods and can be found at the following locations: 1983-1987: included in this data release under "Other Entities", file name LWVS_QAreport_1983to1987_Denning 1988: included in this data release under "Other Entities", file name LWVS_QAreport_1988_Denning 1989-1990: included in this data release under "Other Entities", file name LWVS_QAreport_1989to1990_Edwards 1995-1998: https://doi.org/10.3133/ofr99111 1999-2002: https://doi.org/10.3133/ofr20041306 2003-2009: https://doi.org/10.3133/ofr20111137 2010-2019: https://doi.org/10.3133/tm1D9 The most recent methods manual is included in full in this data release under "Other Entities", file name "LVWS Methods Manual". Please refer to this manual for the detailed methods.
Filtered chlorophyll a time series for Beaverdam Reservoir, Carvins Cove Reservoir, Claytor Lake, Falling Creek Reservoir, Gatewood Reservoir, Smith Mountain Lake, Spring Hollow Reservoir in southwestern Virginia, and Lake Sunapee in Sunapee, New Hampshire, USA during 2014-2025
Water column chlorophyll a was analyzed from 2014 to 2025 in seven freshwater reservoirs in southwestern Virginia (VA), USA, and one freshwater lake in central New Hampshire (NH), USA. These waterbodies are: Beaverdam Reservoir (Vinton, VA), Carvins Cove Reservoir (Roanoke, VA), Claytor Lake (Pulaski, VA), Falling Creek Reservoir (Vinton, VA), Gatewood Reservoir (Pulaski, VA), Smith Mountain Lake (Bedford, VA), Spring Hollow Reservoir (Salem, VA), and Lake Sunapee (Sunapee, NH). Beaverdam, Carvins Cove, Falling Creek, and Spring Hollow Reservoirs are owned and operated by the Western Virginia Water Authority as primary or secondary drinking water sources for Roanoke, Virginia; Gatewood Reservoir is a drinking water source for the Town of Pulaski, Virginia; and Smith Mountain Lake is jointly treated by the Bedford Regional Water Authority and the Western Virginia Water Authority as a drinking water source for Franklin County, Virginia. Claytor Lake is managed for hydroelectric power generation by the Appalachian Power Company. Lake Sunapee is a glacially-formed lake known for its oligotrophic water quality. The dataset consists of depth profiles of chlorophyll a samples generally measured at the deepest site of each reservoir adjacent to the dam or at the buoy site of Lake Sunapee. The water column samples were collected approximately fortnightly from March-April and weekly from May-October from 2014 - present at Falling Creek Reservoir and Beaverdam Reservoir, approximately fortnightly from May-August in most years at Carvins Cove Reservoir, approximately fortnightly from May-August in Gatewood and Spring Hollow Reservoirs from 2014-2016, approximately fortnightly from May-August of 2014 in Smith Mountain Lake, sporadically from May-August of 2014 in Claytor Lake, and sporadically from June-August of 2021-2022 and 2024-2025 in Lake Sunapee. From 2018-2025, samples were collected primarily at a single depth in each reservoir, with sample collection at two depths in F
Density-dependent effects of exotic brook trout on aquatic communities in mountain lakes revealed by environmental DNA and morphological taxonomy
Invasion of non-native fishes threatens freshwater biodiversity worldwide. Yet, detailed estimates of population demography for invasive species, that estimate population size and body size of the invasive species, are rarely integrated in evaluating aquatic community responses. Our study capitalized on detailed brook trout population demographic data collected for a replicated whole lake ecosystem experiment involving experimental harvesting of exotic brook trout in nine mountain lakes. We applied environmental DNA (eDNA) metabarcoding and morphological taxonomy to examine the response of crustacean zooplankton and macroinvertebrate communities to gradients in brook trout effective density and lake elevation. Density-dependent effects of brook trout on crustacean zooplankton and macroinvertebrate communities were detected even decades after their first introductions (between 1926 and 1980). However, they were moderated by environmental factors such as elevation, lake maximum depth and dissolved organic carbon. Elevation was important in structuring crustacean zooplankton and macroinvertebrate community composition. While there were differences in explanatory variables when describing communities characterized by eDNA metabarcoding and morphological taxonomy, the principal environmental factors that structured the communities were similar. Our paper highlights persisting density-dependent impacts of exotic trout on invertebrate communities even decades after first introduction, and it considers the conservation implications for lake restoration.
Hourly time series of Ives Lake (Huron Mountains, Marquette County, MI) Water Temperature-Depth Profiles, 2013-2022 (continuing study)
Long-term measurements of lake temperatures are essential to providing insights into local and regional changes in climate since large, still water bodies effectively act as a high-frequency filter. Ives Lake is a 30.7 m deep water body in northern Marquette County, in Michigan's Upper Peninsula. Beginning in 2013, temperature readings have been collected hourly from a string of twelve sensors located near the deepest point of the lake (approximately 46.84874 N lat, 87.84895 W long; identified by sonar survey in 2010 by first author). Measurements are continuing. The purpose of the project is to collect a data record of sufficient duration to determine if water temperatures are warming, and if the dates of autumn lake turnover are shifting toward later in the year.
High frequency limnological sensor data from three lakes in the Pocono Mountains region, Pennsylvania USA, 2016-2024
This dataset publication provides access to eight years of high-frequency sensor data from three lakes: Giles, Lacawac, and Waynewood. These lakes are located in the Pocono Mountains region of Pennsylvania, USA and have been the site of long-term monitoring and research. Lake Giles is a relatively clear-water low dissolved organic matter oligotrophic lake in a largely protected watershed. Lake Lacawac has higher dissolved organic matter concentrations and is considered a dystrophic brown-water system; it is also in a highly-protected watershed. Lake Waynewood is a relatively productive eutrophic lake with a larger watershed that is mixed agricultural, forested, and residential use. High-frequency sensors were deployed on sensor lines at the deepest point in each lake. Measurements included temperature and dissolved oxygen through the water column, fluorescent dissolved organic matter at the surface and bottom, and chlorophyll fluorescence at the surface of each lake. These data are collected at a frequency of 10 to 30 minutes and are available in the data packages GilesHighFrequencyData.csv, LacawacHighFrequencyData.csv, and WaynewoodHighFrequencyData.csv. Data from weather stations located adjacent to each lake can be found in the data package PoconosWeatherStationData.csv. Additional long-term limnological data (four decades) for Lakes Giles, Lacawac, and Waynewood are available in the data package edi.186.8.
Three decades of limnological data from lakes in the Pocono Mountains region, Pennsylvania USA, 1988-2023
Three decades of limnological data have been collected from Lakes Lacawac, Giles, and Waynewood, located in the Pocono Mountains region of Pennsylvania, USA as a part of this ongoing data set. Giles is a clear-water, low dissolved organic matter oligotrophic lake in a largely protected watershed, Lacawac has higher dissolved organic matter concentrations and is a dystrophic brown-water system in a highly protected watershed within the Lacawac Sanctuary and Biological Field Station, and Waynewood is a more productive, eutrophic lake, with a larger watershed that is mixed agricultural, forested, and residential use. One unique aspect of these data is that they comprise one of the largest and most complete data sets with measurements of underwater UV transparency available in the world. The data include a suite of 48 variables including biological (zooplankton), physical, optical, and chemical characteristics of the lakes, with a focus on the optical characteristics. Data were collected on many of these variables at least once annually during the summer, often with much more frequent samples during the ice-free season, and for several years in the early 1990s through the winter months. The following four files contain this data set, with the main data contained in PoconosLakeData.csv and PoconosZoopData.csv. SiteInformation.csv and Methods.csv support the main data files, with descriptions of the sampling sites and methods by which samples were processed, respectively. Also included are summary reports that provide an overview and characterize the three core PCLP (Pocono Comparative Lakes Program) lakes from 1989-1993. The user is referred in particular to the 1995 summary report on all three lakes as a useful introduction to the three lakes. These files can be accessed through links provided under Journal Citations. These reports provide an overview of the lakes and detailed methodology. The 1995 summary report "Limnology of Lakes Lacawac, Giles, and Waynewood 1989-93
Crossing Treeline: Bacterioplankton community composition in alpine and subalpine lakes of the Rocky Mountain southern ecoregion and associated physical and chemical characteristics
This dataset includes lake water samples collected in the summer of 2016 from 16 different mountain lakes in the Rocky mountains in both Rocky Mountain National Park and the Snowy Range of southern Wyoming. Each lake was sampled twice: once in the early summer when hydrologic connections with the surrounding terrestrial environment were high and again in the late summer when hydrologic connections were low. The main goal of the study was to compare communities of bacterioplankton in alpine and subalpine lakes to determine if communities differed across treeline as soil microbes in the surrounding terrestrial environment were. To do so, we collected water samples from the deepest point of each lake, mixed it with a surface water sample and characterized bacterioplankton communities with 16S sequencing technology. Additionally, we wanted to identify abiotic factors that may correlate with community dissimilarity and characterized a suite of chemical attributes for each lake. Lake characteristics reported included surface temperature, soluble reactive phosphorous (SRP), ammonia (NH3+), pH, total dissolved nitrogen (TDN), total dissolved phosphorus (TDP), and total dissolved organic carbon (DOC), and chlorophyll a (chl-a).
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>
Mountain Lake Chemistry and Physics Profile Data since 2015 at Castle Lake
This data set contains long-term limnology data from Castle Lake (located 5440 ft above sea level in Northern California). The data contained can be broadly grouped into two different types: chemical and physical data. This data set contains dissolved oxygen saturation, dissolved oxygen concentration, chlorophyll-a concentration, CDOM, phycocyanin concentration, conductivity, specific conductivity, pH, salinity, water temperature, pressure, turbidity, sea pressure, density anomaly, and speed of sound at various depths. Sampling Frequency: Continuous measurements were made and recorded down to milliseconds. Sampling dates vary from year to year, starting as early as February and as late as November. This data collection is part of an ongoing project funded by the US National Science Foundation, private donors, US AID, and the University of Nevada's Global Water Center. This package was updated in February 2023 with data from 2021 and 2022. Dissolved O2 concentration data in the 2020 data file was updated to values in units of mg/L instead of umol/L and specific conductivity units in all files was revised to be in microSiemens per centimeter and not milliSiemens per centimeter.
Limnological data for 17 mountain lakes in Banff and Yoho National Parks (Canadian Rocky Mountains) from 2015 to 2022
From 2015 to 2022, mid-summer vertical profiles of temperature, chlorophyll a fluorescence, turbidity, and fDOM were collected in a set of 17 lakes in Banff and Yoho National Parks, Canada. These lakes are located across montane, sub-alpine and alpine ecoregions and they vary widely in elevation (1300-2423 m a.s.l.), surface area (1.5-116 ha) and maximum depth (2.4-39.2 m). Eight of the lakes receive surface and/or groundwater hydrologic inputs from glaciers within the catchment, and the other nine lakes are not glacially-fed. Vertical profiles were collected in each lake within one or two days of an index sampling date between late July and early August using an Exo2 vertical profiling sonde. Measurements were taken at 1 s intervals as the sonde was lowered slowly through the water column, and then averaged over 0.5 m depth intervals. In addition, attenuation rates were estimated for 305 nm, 320 nm, and 380 nm, and PAR (400-700 nm) as the slopes of log-linear regressions of irradiance vs. depth. Downwelling irradiance measured with a Biospherical Instruments underwater radiometer. Vertical Profile Data are contained in Can_Rocky_Mtn_Lakes_Profiles.csv. Attenuation rates are contained in Can_Rocky_Mtn_Lakes_Kd.csv. Information about study lakes is contained in Can_Rocky_Mtn_Lakes_Site_Information.csv.
Mountain Lake Biology, Chemistry, Physics, and Climate Data since 1959 at Castle Lake
This data set contains long-term limnology data from Castle Lake (located 5440 ft above sea level in Northern California) on primary productivity, zooplankton and phytoplankton measurements, dissolved oxygen, nutrient chemistry, lake morphology, and fish measurements. Short-term research projects on benthic invertebrates composition and a bathymetric map can also be found within the data package. Ecological, watershed and climatological measurements taken characterize the limnology of Castle Lake, a pristine glacial cirque that is the largest (by volume) of the 25 alpine and sub-alpine lake within the larger Upper Sacramento River Watershed. Sampling Frequency: Varies depending on survey conducted. During summer months- multiple times during each month. Less frequent during winter months. This data collection part of an ongoing project funded by the US National Science Foundation, private donors, US AID, and the University of Nevada's Global Water Center.
Рис. 1–4. Pterostichus (Petrophilus) magoides, общий виΔ. 1–2 – самки: 1 – гоΛотип, 2 – паратип; 3–4 – самцы: 3 – из окрестностей оз. МаркакоΛь (Казахстан), 4 – из Рахмановского Λесничества (Казахстан). Figs 1–4. Pterostichus (Petrophilus) magoides, general view. 1–2 – females: 1 – holotype, 2 – paratype; 3–4 – males: 3 – from the Markakol Lake vicinities (Kazakhstan), 3 – from the Rakhmanovskoe Forestry (Kazakhstan). in To the systematic position of Pterostichus (Petrophilus) magoides (Straneo, 1937) (Coleoptera: Carabidae) from the Altai Mountains
Рис. 1–4. Pterostichus (Petrophilus) magoides, общий виΔ. 1–2 – самки: 1 – гоΛотип, 2 – паратип; 3–4 – самцы: 3 – из окрестностей оз. МаркакоΛь (Казахстан), 4 – из Рахмановского Λесничества (Казахстан). Figs 1–4. Pterostichus (Petrophilus) magoides, general view. 1–2 – females: 1 – holotype, 2 – paratype; 3–4 – males: 3 – from the Markakol Lake vicinities (Kazakhstan), 3 – from the Rakhmanovskoe Forestry (Kazakhstan).
Dataset and R code used in "Environmental filtering governs consistent vertical zonation in sedimentary microbial communities across disconnected mountain lakes"
<p>Dataset and R code used for the manuscript:</p> <p>Von Eggers, J. M., Wisnoski, N. I., Calder, J. W., Capo, E., Groff, D. V., Krist, A. C., & Shuman, B. (2024). Environmental filtering governs consistent vertical zonation in sedimentary microbial communities across disconnected mountain lakes. <em>Environmental Microbiology</em>, 26(3), e16607.</p> <p>This dataset and code are also available on GitHub (<a href="https://github.com/jvoneggers/WYLakeSedMicrobes">https://github.com/jvoneggers/WYLakeSedMicrobes</a>).</p>
Fig. 4 in Microcrustacean (Cladocera, Copepoda) Communities In Artificial Lakes In The Region Of The North Hungarian Mountains, With Special Reference To The Adventive Species
Fig. 4. Occurrences of the non-indigenous microcrustacean species in the investigated artificial lakes of north-eastern Hungary. Abbrev.: Eurytemora velox: +, Daphnia ambigua: ▲, Pleuroxus denticu-
Fig. 1 in Microcrustacean (Cladocera, Copepoda) Communities In Artificial Lakes In The Region Of The North Hungarian Mountains, With Special Reference To The Adventive Species
Fig. 1. Species accumulation curves of the fish ponds for total microcrustaceans (a) and for cladocerans and copepods separately (b)
Fig. 3 in Microcrustacean (Cladocera, Copepoda) Communities In Artificial Lakes In The Region Of The North Hungarian Mountains, With Special Reference To The Adventive Species
Fig. 3. Frequency of occurrence (incl. species occurring in at least 5 fish ponds). Abbrev.: Chy_sph – Chydorus sphaericus, Bos_lon – Bosmina longirostris, Cyc_vic – Cyclops vicinus, Dap_cuc – Daphnia cucullata, Euc_ser – Eucyclops serrulatus, Aca_tra – Acanthocyclops trajani, Eud_gra – Eudiaptomus gracilis, Mac_alb – Macrocyclops albidus, Ple_adu – Pleuroxus aduncus, Sim_vet – Simocephalus vetulus, Mac_lat – Macrothrix laticornis, Euc_spe – Eucyclops speratus, The_oit – Thermocyclops oithonoides, Nit_hib – Nitocra hibernica, Alo_rec – Alona rectangula, Sca_muc – Scaphole-
Fig. 5 in Microcrustacean (Cladocera, Copepoda) Communities In Artificial Lakes In The Region Of The North Hungarian Mountains, With Special Reference To The Adventive Species
Fig. 5. The relative frequencies of Eurytemora velox (white), Eudiaptomus gracilis (black) and all other microcrustacean species (grey) in those fish ponds where the invasive E. velox was present
Figure. Distribution of Neomys teres and Neomys anomalus species in Turkey (square = Neomys anomalus, triangle = Neomys teres). 1: Ulubey (Ordu), 2: Meryemana (Trabzon), 3: Kutul (Artvin), 4: Yalnızçam (Kars), 5: Bendimahi Canyon (Muradiye, Van), 6: Seyfe (Amasya), 7: Safranbolu (Karabük), 8: Topçam (Ordu), 9: Tamdere (Giresun), 10: Çamlık (Rize), 11: Ovid Mountain (Rize), 12: Lake Abant (Bolu), 13: Kayseri, 14: Erzurum, 15: Samsun, 16: Belgrad Forest (İstanbul), 17: Lake Abant (Bolu), 18: İrve creek (İstanbul), 19: Erçek Mountain (Van), 20: Paşaalandere (Tekirdağ), 21: Lake Terkos (İstanbul), 22: Yeşiloba (Adana), 23: Yenice, Çayır (Zonguldak), 24: Abant (Bolu), 25: Hanyatak village (Sakarya), 26: Longoz forest, Dupnisa cave, Demirköy (Kırklareli), 27: Lake Eber (Afyon), 28: Çırpılar (Çanakkale), 29: Uludağ (Bursa), 30: Balkusan (Karaman). in Taxonomic status of Neomys species (Mammalia: Soricomorpha) and their distribution in Turkey
Figure. Distribution of Neomys teres and Neomys anomalus species in Turkey (square = Neomys anomalus, triangle = Neomys teres). 1: Ulubey (Ordu), 2: Meryemana (Trabzon), 3: Kutul (Artvin), 4: Yalnızçam (Kars), 5: Bendimahi Canyon (Muradiye, Van), 6: Seyfe (Amasya), 7: Safranbolu (Karabük), 8: Topçam (Ordu), 9: Tamdere (Giresun), 10: Çamlık (Rize), 11: Ovid Mountain (Rize), 12: Lake Abant (Bolu), 13: Kayseri, 14: Erzurum, 15: Samsun, 16: Belgrad Forest (İstanbul), 17: Lake Abant (Bolu), 18: İrve creek (İstanbul), 19: Erçek Mountain (Van), 20: Paşaalandere (Tekirdağ), 21: Lake Terkos (İstanbul), 22: Yeşiloba (Adana), 23: Yenice, Çayır (Zonguldak), 24: Abant (Bolu), 25: Hanyatak village (Sakarya), 26: Longoz forest, Dupnisa cave, Demirköy (Kırklareli), 27: Lake Eber (Afyon), 28: Çırpılar (Çanakkale), 29: Uludağ (Bursa), 30: Balkusan (Karaman).
Figure 2 in Distribution of rotifers of high mountain lakes in the Eastern Black Sea Range of Turkey
Figure 2. Trophic classes of the lakes based on orthophosphate (u-oligo = ultraoligotrophic; oligo = oligotrophic).
Figure 3 in Distribution of rotifers of high mountain lakes in the Eastern Black Sea Range of Turkey
Figure 3. Trophic classes of the lakes based on Secchi depth (u-oligo = ultraoligotrophic; oligo = oligotrophic; meso = mesotrophic).
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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)
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DANDI Archive for NWB datasets
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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.