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openCC (other)Dec 2022View details →

Lake Mendota water temperature secchi depth snow depth ice thickness and meterological conditions 1894 - 2007

Data for water temperature at different depth and different frequencies assembled from various sources by Dale Roberson. A table with additional parameters collected at the same time is also provided for dates when available. These parameters are weather observations, secchi depth, snow and ice depths.

openCC (other)Dec 2022View details →

Chloride Concentrations, Conductivity, and Water Temperature Data from Upper Yahara River Watershed Tributaries in Dane County, WI: December 2019 – April 2021

Conductivity and chloride were measured for 2 years in nine tributaries of Lake Mendota and Lake Monona in Dane County, WI. HOBO Conductivity loggers continuously measured absolute conductivity and water temperature every 30 minutes. Breaks in data collection were due to a calibration period or if the loggers were out of the water. Grab samples for chloride concentration occurred weekly or biweekly. Conductivity and water temperature were measured with a field meter at each sampling excursion. This data was needed for a master’s research thesis with the goal of characterizing the spatial distribution and loading of chloride in the Upper Yahara River Watershed.

openCC (other)Nov 2023View details →

PIE LTER Year 2022 15-minute interval water quality measurements of water column temperature, salinity, oxygen, pH, and depth at four sites in the Plum Island Estuary.

Four YSI EXO2 water quality sondes were deployed from June 2022 to October 2022 at four sites in the Plum Island Estuary. One was at the mouth of the sound at the Ipswich Bay Yacht Club, one in the Rowley River, and two in the Parker River. The sondes measured water column temperature, salinity, oxygen, pH, and depth in 15-minute intervals.

SBC LTER: Reef: Bottom Temperature: Continuous water temperature, ongoing since 2000

Giant kelp forests and the organisms living within them are exposed to a variable environment where biotic and abiotic drivers may affect populations and biological processes on the scale of hours to decades. To examine temporal and spatial patterns of temperature in giant kelp forests, SBC has measured ambient water temperature at nine reef sites located along the mainland coast of the Santa Barbara Channel and at two sites on the north side Santa Cruz Island beginning in 2000. Two submersible temperature loggers, sampling every 30 minutes and offset from each other by 15 minutes, are deployed so that data is recorded every 15 minutes at each site. Temperature loggers were retrieved and replaced bi-annually with a new logger, typically in the early summer (June-July) and in early winter (January-March). These temperature loggers measure temperature in water within a range of -20°C to 30°C, and accuracy of ± 0.20°C at 25°C.

openCC (other)Jun 2025View details →

SBC LTER: Ocean: High resolution water temperature at Mohawk and Arroyo Quemado, ongoing since 2018

Ocean in-situ temperature data were collected at two nearshore locations: Mohawk and Arroyo Quemado. There are three sites at each of the locations: inshore, offshore, and east of reef. Temperature was recorded using hobo sensors at 1-meter interval along the water column, and the sampling interval is 2 minutes.

openCC (other)Jun 2025View details →

SBC LTER: Reference: Sea-surface water temperature, Santa Barbara Harbor, Santa Barbara, CA, USA, 1955 to present, ongoing

The SBC-LTER has access to data on seawater temperature collected at Santa Barbara Harbor, Santa Barbara, CA, USA through the Scripps Institution of Oceanography Manual Shore Stations program. The SIO Manual Shore Stations program provides data and information about this shore station. For further information, please visit the SIO Manual Shore Stations website at https://library.ucsd.edu/dc/object/bb07606686. Please note: manual shore station data is updated periodically, not continuously. Funding for the Shore Stations Program provided by the California Department of Parks and Recreation, Natural Resources Division, Award# C22820005. Contact shorestation@ucsd.edu if you have questions

openCustomJan 2024View details →

Stream Water Level and Temperature for Mainland Creeks on the Atlantic Coast of Virginia 2002-2009

This dataset includes stage (water level) and temperature for selected creeks along the Atlantic Coast of the Delmarva Peninsula, in Virginia. Pressure sensors were placed in the creeks (typically along the edge of Route 600 (Seaside Road), and corrected for barometric pressure changes in post-processing.

zenodo48/100

Water table elevation and groundwater temperature from the outwash plain of the Otemma glacier forefield (Switzerland) from 2019 to 2021

Water table elevation and groundwater temperature from the outwash plain of the Otemma glacier forefield (Switzerland) from 2019 to 2021. Data were collected by the research teams of Bettina Schaefli1,2, Stuart N. Lane1. 1 Institute of Earth Surface Dynamics (IDYST), University of Lausanne, 1015 Lausanne, Switzerland 2 Institute of Geography (GIUB), University of Bern, 3012 Bern, Switzerland For further information, please contact: <ul> <li>tom.muller.1@unil.ch</li> </ul> This dataset is first referenced and discussed in the research paper by Müller et al., 2022. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ Data Description 9 piezometers consisting of fully screened plastic tubes were installed at an averaged depth of 1.5 to 2m in the outwash plain of the Otemma glacier forefield (WGS84 : 45.93434 / 7.41209). They cover four transects perpendicular to the stream from downstream (A) to upstream to (D). Water table elevation and temperature were recorded in each well at a 10 minute interval using SparkFun MS5803-14BA pressure sensors. Sensor resolution is 1 mm and 0.01 °C, sensor accuracy is ± 2 cm and ± 0.8°C. Sensor bias was verified and corrected by bi-monthly manual groundwater stage measurements. Water temperature was not manually corrected and may be subject to some unidentified bias. Piezometer location can be visualized in overview_piezo.jpg Piezometer coordinates are available in shapefile GPS_piezometers.zip (coordinate system: swiss LV95 (EPSG:2056)) Piezometers name matches the labelling used in Müller et al. 2022 (A1,A2 to D1,D2). Two additionnal piezometers (BinjUp & BinjDown) used for a specific salt tracing analysis (see ERT_timelapse_salt_tracer.gif at <a href="https://zenodo.org/record/6342767#.YjBRmTXjJlh">https://zenodo.org/record/6342767#.YjBRmTXjJlh</a>) are also available. Finally an additional piezometer (B1-2) located between B1 and B2 is also available although it was not used in Müller et al. 2022. Data Structure df_piezometers.csv is formated as a tidy dataframe with 10 minute interval and following headers :     - date : local date (UTC+01 with daylight saving time)     - variable : parameter of interest, with following classes :             w_elevation: Water table elevation [m. asl]             w_temperature : Groundwater temperature [°C]     - name : name of piezometer (see coordinates in GPS_piezometers.zip)     - dateUTC : date with UTC timezone Data can be quickly vizualized in plot_piezo.png or interactively in a browser using plot_piezo_interactive.html

opencc-by-4.0Mar 2022View details →

zenodo48/100

Water stable isotope, temperature and electrical conductivity dataset (snow, ice, rain, surface water, groundwater) from a high alpine catchment (2019-2021).

Data collected in the Otemma forefield in Switzerland (45°56’03”N,7°24’42”) from July 2019 to October 2021. Data were collected by the research teams of Bettina Schaefli2 and Stuart N. Lane1. 1 Institute of Earth Surface Dynamics (IDYST), University of Lausanne, 1015 Lausanne, Switzerland 2 Institute of Geography (GIUB), University of Bern, 3012 Bern, Switzerland For further information, please contact: <ul> <li>tom.muller.1@unil.ch</li> </ul> Description of the dataset This dataset contains water stable isotope (δ2H, δ17O, δ18O), water temperature and water electrical conductivity (EC) measurements collected from the Otemma glacier catchment. All water isotope samples were collected directly from the source and stored in 12 mL amber glass vials with an air-tight caps. River samples were first collected with an automatic ISCO 6712 portable water sampler with 1L open plastic bottles and transferred in 12 mL vials every one to two weeks. All isotope analysis were performed using a Wavelength-Scanned Cavity Ring Down Spectrometer (Picarro 2140-I, Santa Clara, California, USA) and expressed relative to the international Vienna Standard Mean Ocean Water (VSMOW) standards. All EC and water temperature measurements were performed with a WTW Multi 3510 IDS logger with a IDS TetraCon® 925 probe. The dataset contains measurements performed at various locations within the catchment. A total of approximately 1500 measurements are provided. In the dataset each point correspond to a measurement station (column "Station") which we classified in specific class of water (column "Type") as follows : <ul> <li>Stream : samples collected at three locations, from the glacier snout, after a small outwash plain and 2km downstream.</li> <li>Tributary : 5 hillslopes tributaries originating from small seasonal overland flow or small springs at the base of the morainic hillslope. Those tributaries were monitored weekly. In addition, a few other seasonal lateral streams were sampled in various locations (Type: Other tributaries).</li> <li>Bedrock : A few exfiltrations directly leaking out of the bedrock outcrop were sampled.</li> <li>Ice : Ice was sampled either as surface ice (small cores 5 cm deep), as deeper cores (5 to 8m deep) or as meltwater from supraglacial gullies. All solid ice samples were melted at ambiant air temperature in air-tight plastic bags before being transferred into 12 mL vials.</li> <li>Snow : The snowpack was sampled either at the surface (0 to 5cm) or at about 20 cm depth. Where possible, meltwater leaking from the snowpack was sampled. At 3 locations in 2021, we dug snowpits from which we sampled snow at different layers with depth. All solid snow samples were melted at ambiant air temperature in air-tight plastic bags before being transferred into 12 mL vials</li> <li>Rain : Rainwater was mostly sampled at our camp site at 2450 m. asl. Rainwater samples represent single rain events which are identified by dry periods of at least one day long.</li> <li>Groundwater : shallow (2 to 3 meters) fully-screened groundwater wells were installed in the outwash plain and water sampled monthly in the snow-free season.</li> </ul> - GPS coordinates are provided with each point (Swiss coordinate system CH1903+ / LV95  (EPSG: 2056)). - Dates are provided in local timezone (GMT+1 with daylight saving time) and in UTC date format. - Analyitcal error from the Picarro spectrometer is reported as 1 standard deviation. More information can be accessed in the corresponding publication by Müller et al. (to be published in 2023). Data files <ul> <li>Otemma_isotope_EC_T_2019_2021.csv : file containing all data with GPS coordinates</li> <li> isotope_locations_Otemma.jpg : an overview of the locations of each measurement point </li> <li> Otemma_Isotopes_2019-2020.html : interactive plots of all datasets (δ2H, EC, temperature), classified by Type. </li> </ul>

opencc-by-4.0Jan 2023View details →

openCC (other)Feb 2023View details →

Time series of high-frequency sensors measuring water temperature and dissolved oxygen at discrete depths in Falling Creek Reservoir, Virginia, USA in 2012-2018

We measured water temperature and dissolved oxygen at multiple depths in Falling Creek Reservoir (Vinton, Virginia, USA) with high-frequency (10 to 15-minute) sensors for different durations during 2012 to 2018. Falling Creek Reservoir is owned and managed by the Western Virginia Water Authority as a primary drinking water source for Roanoke, Virginia. All measurements were collected at discrete depths at the deepest site of the reservoir adjacent to the dam. The sensors consisted of: 1) InsiteIG dissolved oxygen and water temperature sensors (Model 20 dissolved oxygen sensor) at both 1 m (November 2015 - December 2018) and 8 m (September 2012 - December 2018) and 2) HOBO (HOBO Pendant Temperature/Light 64K Data Logger) water temperature loggers deployed at 1, 2, 3, 4, 5, 6, 7, 8, and 9.3 m depths (September 2015 - January 2018).

openCC (other)Oct 2023View details →

Historical and future Lake Surface Water Temperature for 80 major lakes in Southeast Asia [LSWT-SEA]

The present dataset is part of a study delving into the intricate relationship between lake surface temperature (LSWT) and the broader context of climate change in the ecologically diverse region of Southeast Asia (SEA). Recognizing LSWT as a highly responsive indicator of climatic shifts, the research aims to shed light on the region's vulnerability to these changes. Using a suite of predictive models (namely Multilinear Regression (MLR), Multilayer perceptron (MLP), Random Forest (RF), eXtreme Gradient Boosting (XGB), Multilayer perceptron (MLP)) the study reconstructs historical LSWT trends from 1986 to 2020 and projects future scenarios until 2100, contingent upon various Representative Concentration Pathway (RCP) trajectories. Using MODIS-derived LSWT as predicted variable. The dataset package includes the data used to carry out the research: ECMWF ERA5 and CHIRPS climatic predicting variables, MODIS-derived daytime and nighttime LSWT, historically predicted daily daytime and nighttime LSWT, future predictions of LSWT for multiple Representative Concentration Pathways (RCPs), long term historical and future trends.

openCC (other)Nov 2023View details →

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.

Soil moisture, soil temperature, air temperature, stream water temperature, stream stage and discharge data from Soil Moisture Station 01, Highlands Biological Station, Highlands, NC, USA, 2022-2025

Daily Summary of Soil moisture, soil temperature, air temperature, stream water temperature, stream stage and discharge data from Soil Moisture Station 01, Highlands Biological Station, Highlands, NC

Soil moisture, soil temperature, air temperature, stream water temperature, stream stage and discharge data from Soil Moisture Station 02, Highlands Biological Station, Highlands, NC, 2021-2025

Measurements of soil moisture, soil temperature, air temperature, stream temperatue, and stream stage/discharge were collected as part of a long-term monitoring project at the Highlands Biological Station, Western Carolina University, Highlands, North Carolina. The sensor station is located in a remnant old-growth Canada Hemlock Forest (typic subtype) community dominated by an understory of Rhododendron maximum and an overstory of Tsuga canadensis, the majority of which are still alive and have been treated with systemic insecticides to protect against infestations of the Hemlock Woolly Adelgid. Other trees include Betula alleghanensis, Acer rubrum, and Quercus rubra. The pressure transducer is located in the thalweg of Coker Creek, a second order stream that flows into Lindenwood Lake.

Daily Summary of Soil moisture, soil temperature, air temperature, stream water temperature, stream stage and discharge data from Soil Moisture Station 02, Highlands Biological Station, Highlands, NC, 2021-2025

Soil moisture, soil temperature, air temperature, stream water temperature, stream stage and discharge data from Soil Moisture Station 03, Highlands Biological Station, Highlands, NC, 2021-2025

Measurements of soil moisture, soil temperature, air temperature, stream temperatue, and stream stage/discharge were collected as part of a long-term monitoring project at the Highlands Biological Station, Western Carolina University, Highlands, North Carolina. The sensor station is located in an acidic cove forest (high elevation subtype) dominated by an understory of Rhododendron maximum and an overstory of Liriodendron tulipifera, Betula alleghanensis, and Tsuga canadensis, the latter of which has several trees that have succombed to the Hemlock Woolly Adelgid, though living trees have been treated with a systemic insecticide. The pressure transducer is located in a second order stream known as Station Branch.

Daily Summary of Soil moisture, soil temperature, air temperature, stream water temperature, stream stage and discharge data from Soil Moisture Station 03, Highlands Biological Station, Highlands, NC, 2021-2025

Measurements of soil moisture, soil temperature, air temperature, stream temperatue, and stream stage/discharge were collected as part of a long-term monitoring project at the Highlands Biological Station, Western Carolina University, Highlands, North Carolina. The sensor station is located in an acidic cove forest (high elevation subtype) dominated by an understory of Rhododendron maximum and an overstory of Liriodendron tulipifera, Betula alleghanensis, and Tsuga canadensis, the latter of which has several trees that have succombed to the Hemlock Woolly Adelgid, though living trees have been treated with a systemic insecticide. The pressure transducer is located in a second order stream known as Station Branch.

openCC (other)Oct 2019View details →

Short-term high-frequency water dissolved carbon dioxide, temperature, dissolved oxygen, salinity and pH data from 8 Estonian lakes in year 2014

This dataset was used in the analysis described in the manuscript by Khan, H., A. Laas, R. Marcé, B. Obrador. Major effects of alkalinity on the relationship between metabolism and dissolved inorganic carbon dynamics in lakes. In review: Ecosystems. This dataset was used to calculate short term changes of dissolved inorganic carbon (DIC) concentrations and its variability in Estonian lakes. DIC data were compared with measured dissolved oxygen (DO) data in lakes covering a range of different alkalinity levels. Our results suggest that a large part of the measured variability in DO and DIC reflects non-metabolic processes. In lakes of lower alkalinity, DIC dynamics appear to be mostly driven by aquatic metabolism, whereas in lakes of higher alkalinity calcite precipitation plays a major role on DIC dynamics and needs to be considered along with metabolism.