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154 results for “Dissolved oxygen”
Metabolism estimates from dissolved oxygen and inorganic carbon in the Judith River Watershed, MT, USA, 2019-2021.
This dataset provides necessary supporting data and models for the manuscript titled "Stream corridor structure drives patterns in lateral inorganic carbon inputs and CO2 emissions in agricultural headwaters". The entire dataset consists of sensor data, alkalinity and metabolism estimates from oxygen and carbon models, collected in three reaches located in the Judith River Watershed, MT. The sensor data include partial pressure of carbon dioxide in water, dissolved oxygen and temperature. At each reach, we established a two station approach, meaning two pairs of sensor suits were distributed upstream and downstream. In addition to data products, we also provide R packages for metabolism models.
High-frequency winter water temperature and dissolved oxygen at Lake Sunapee, New Hampshire, USA, 2014-2023
The Lake Sunapee Protective Association (LSPA) has been monitoring water quality in Lake Sunapee, New Hampshire, USA, since the 1980s. Beginning in the winter of 2014-2015, the LSPA deployed a string of HOBO temperature sensors at a location near Loon Island (43.391N, 72.058W, where their instrumented buoy is located during the summer months) for under-ice water temperature profile monitoring. A HOBO U26 dissolved oxygen sensor was added to this monitoring string during the winter of 2017-2018 through the winter of 2019-2020. All sensors record data in 15-minute intervals over the winter and are downloaded after ice-off. All data have been QAQC'd to remove obviously errant readings and artifacts of maintenance and flag highly suspicious readings.
Long-term lake dissolved oxygen and temperature data, 1941-2018
The concentration of oxygen dissolved in water regulates many aspects of aquatic ecosystems, including habitat suitability for biota, greenhouse gas emissions, nutrient cycling, and metal toxicity. However, little is known about how dissolved oxygen (DO) concentrations in lakes are changing through time. The solubility of oxygen in water declines with increasing water temperatures, but other temperature-sensitive processes may suppress or amplify trends through time, making long-term observations essential to understanding DO dynamics and trends. This dataset includes measurements of dissolved oxygen and temperature from greater than 400 widely geographically-distributed lakes, as well as a suite of associated measurements in or around many of the lakes, including watershed land use, water clarity, limiting nutrient concentrations, and chlorophyll concentrations. Analysis of these data reveal widespread losses in dissolved oxygen through time in both surface and deep waters.
Bull shark catches, water temperatures, salinities, and dissolved oxygen levels in the Shark River Slough, Everglades National Park (FCE) , from May 2005 to May 2009
This dataset provides information on the catches of bull sharks in the Shark River Slough in relation to physical factors including dissolved oxygen, water temperature, salinity, and distance upstream. Analysis of data collected from 2005-2007 indicate that distance from the Gulf of Mexico and dissolved oxygen concentrations have the largest effects on bull shark catch rates. Data are presented for both young of the year sharks, which are concentrated in areas away from the main channel approximately 20km upstream, and older juvenile sharks which are found along the main channel at similar distances upstream. Salinity has a surprisingly weak impact on catches over the time frame initially investigated.
Shark catches (longline), water temperatures, salinities, and dissolved oxygen levels, and stable isotope values in the Shark River Slough, Everglades National Park (FCE LTER), Florida, USA, May 2005 - ongoing
This dataset provides information on the catches of sharks in the Shark River Slough in relation to physical factors including dissolved oxygen, water temperature, salinity, and distance upstream. Analysis of data collected suggest that distance from the Gulf of Mexico and dissolved have the largest effects on shark catch rates, with most juvenile bull sharks being caught in Tarpon Bay. This dataset includes all sharks caught on longline gear, their morphometric data, and CNS stable isotope analysis for selected individuals.
Survey of dissolved inorganic carbon (DIC) and dissolved oxygen (DO) along the Duplin River in 2014
A transect measure of inorganic carbon and oxygen level at 12 equidistant stations along the Duplin Rvier were conducted at sunrise, sunset and next sunrise for each season in 2014 in order to estimate the air-water exchange, longitudinal mixing and metabolism of the Duplin River ecosystem.
Anchor sampling of inorganic carbon (DIC) and dissolved oxygen (DO) at the flux tower tidal creek in the Duplin River
An anchor sampling of DIC and DO level at the mouth of a first order creek of the Duplin was conducted seasonally in order to estimate the metabolism and CO2/O2 dynamics of water when it floods the marsh where the GCE LTER project operates an eddy covariance tower.
Oxygen-argon dissolved gas ratios using Equilibrator Inlet Mass Spectrometry (EIMS) and triple oxygen isotopes (TOI) from NES-LTER Transect cruises, ongoing since 2018
In order to calculate net community production (NCP) rates on Northeast U.S. Shelf Long-Term Ecological Research (NES-LTER) transect cruises, gas tracer data were collected with a continuous at-sea mass spectrometer. The ratio of O2/Ar, measured continuously from underway water, yields 8,000-15,000 rates of NCP per cruise. Discrete water samples (50 to 150 per cruise) were collected for triple oxygen isotope (TOI) analysis to estimate gross primary production (GPP) rates and ratios of NCP/GPP. Along-shelf (upstream-downstream) transects were conducted in addition to the main across-shelf transect. This data package provides two types of data tables for NES-LTER transect cruises beginning in 2018: a high-frequency continuous Equilibration Inlet Mass Spectrometer (EIMS) table, provided by year, and a low-frequency discrete triple oxygen isotope (TOI) table with all years combined. Rates calculated from these measurements are provided as separate packages, per year, in the EDI repository.
Modeled Organic Carbon, Dissolved Oxygen, and Secchi for six Wisconsin Lakes, 1995-2014
This data package contains model output data, driving data, and supplemental information for a two-layer modeling study that investigated organic carbon and oxygen dynamics within six Wisconsin lakes over a twenty-year period (1995-2014). The six lakes are Lake Mendota, Lake Monona, Trout Lake, Allequash Lake, Big Muskellunge Lake, and Sparkling Lake. The model output includes daily predictions of six state variables: labile particulate organic carbon, recalcitrant particulate organic carbon, labile dissolved organic carbon, recalcitrant dissolved organic carbon, dissolved oxygen, and Secchi depth. The output also includes daily predictions of physical and metabolism fluxes that were used in the prediction of the state variables. This data package also contains model driving data for each lake and other supplemental information that was calculated during the modeling runs.
SBC LTER: Ocean: Time-series: nearshore dissolved oxygen and temperature outside of reefs, ongoing since 2011
Dissolved oxygen (miniDOT sensors) data was collected from 6 reefs in the Santa Barbara Channel along with in situ temperature. Most dissolved oxygen sensors are deployed together with SBC long-term mooring instruments. Data collection intervals and miniDOT sensor depths vary based on the site location.
Multiple years of Seaglider observations of hydrography, dissolved oxygen, chlorophyll a, and optical backscatter at Station ALOHA
<p><strong>File descriptions:</strong></p> <p>Seaglider missions are identified as GLIDER_MISSION<em> </em>(i.e. sg148_12 is glider 148, mission 12) and each have three files associated. For example:</p> <ol> <li><strong>sg148_12_qc_pass.xlsx</strong> contains only quality controlled (QC flags = 1) core data for an entire mission. Core data may include temperature, conductivity, salinity, potential density anomaly, calibrated dissolved oxygen concentrations, calibrated chlorophyll <em>a</em> concentrations, and the backscattering coefficient due to particles (bbp) at up to three wavelengths (470, either 650 or 660, and 700 nm) and spike flags. Bbp data is corrected with an <em>in situ</em> dark subtraction from near 200 m deep. Associated metadata (datetime, latitude, longitude, depth, dive number, and vertical profile direction) is also included.</li> <li><strong>sg148_12_alldata.nc </strong>contains all data (i.e. all QC flag levels) and associated quality control flags. In addition to core and metadata, factory-only calibrated observations (e.g. dissolved oxygen concentrations, chlorophyll <em>a</em> concentrations, and bbp) are listed. </li> <li><strong>sg148_12_qctests.nc</strong><em> </em>contains all quality control test values (pass: QC = 1, input flag: QC = 2, questionable data QC = 3, bad data: QC = 4). The maximum test QC flag value (e.g. out of range, density inversions, bioflouling, etc.) was passed to the variable QC flag (e.g chla_qcflag or salin_qcflag). . </li> </ol> <p> </p> <p><strong>Dataset description:</strong></p> <p>The SCOPE-ALOHA Seaglider dataset was designed to monitor the spatial and temporal variability of physical and biogeochemical properties around the long term sampling site Station ALOHA (22°45′N, 158°W). Seagliders are autonomous underwater vehicles that take high frequency (up to 0.2 Hz in our dataset), depth-resolved observations over several months and can be used to map large spatial features. The gliders depicted in this study were equipped with sensors to measure temperature, salinity, pressure, dissolved oxygen concentration (O2), chlorophyll a concentration (Chl a) from fluorescence (excitation/emission lambda = 470/695 nm), and the particulate backscattering coefficient (bbp) at three wavelengths (lambda = 470 nm, 700 nm, and either 650 or 660 nm depending upon mission). Vertical profiles down to at least 200 m were collected for all sensors over periods of several months per mission. This dataset comprises 18 missions between 2008 and 2023 centered on Station ALOHA, totaling over 20,000 depth profiles. Chlorophyll <em>a</em> and oxygen concentrations are calibrated with discrete observations. Particulate backscattering coefficients are corrected with an additional dark subtraction. This dataset is an improvement on the raw data files as they are quality controlled, calibrated, and corrected.</p> <p>Raw data files can be found at https://hahana.soest.hawaii.edu/seagliders/index.php.</p> <p>version notes:</p> <p>v1.0 original</p> <p>v1.1 Metaadata tab on xlsx files edited, no change to data</p> <p>v1.2 fixed error: variable qc flags added to alldata.nc files</p> <p>v1.3 Added error estimates and CF_standard_name to alldata.nc files</p> <p><strong>Methods:</strong></p> <p><em><strong>Code for all processing steps is on GitHub </strong></em><strong>(</strong><em><strong>https://github.com/cathygarcia/SeagliderDataprocessing</strong></em><strong>)</strong><em><strong>.</strong> The steps listed here are a brief summary. </em></p> <p><em>Temperature, Conductivity, Salinity, and Potential Density Anomaly</em></p> <ul> <li>Both temperature and conductivity profiles were lag corrected.</li> <li>Practical salinity was calculated using the Gibbs Seawater Toolbox (gsw_SP_from_C.m), and then converted to absolute salinity (gsw_SA_from_SP.m). </li> <li>Potential density anomaly was calculated with respect to a reference water pressure of 0 db using the Gibbs Seawater Toolbox (gsw_sigma0.m).</li> </ul> <p><em>Dissolved oxygen concentrations</em></p> <ul> <li>Raw optode phase values proceeded through a series of corrections to account for the effects of temperature, salinity, pressure, and time response in addition to sensor drift (Bittig et al., 2018, Barone et al., 2019).</li> <li> Optode phase values were converted to dissolved oxygen concentrations, and re-calibrated using discrete Winkler measurements. </li> </ul> <p><em>Chlorophyll</em> <em>a</em></p> <ul> <li>Factory-calibrated chlorophyll <em>a</em> observations were re-calibrated using discrete measurements of either HPLC chlorophyll <em>a </em>(16 missions) or fluorometric chlorophyll <em>a</em> (2 missions).</li> <li>Daytime chlorophyll <em>a</em> values are not quench corrected, and may be lower than actual values. It is recommended to use nighttime profiles near the surface. </li> <li>Additionally, a spike flag is included based on published protocol (Briggs et al., 2011).</li> </ul> <p><em>Backscattering coefficient due to particles (bbp)</em></p> <ul> <li>Factory-calibrated bbp values could have a large offset, that was not expected based on natural variability.</li> <li>A mission-specific deep dark correction (1st percentile of bbp at 190-200 m) was subtracted for each bbp dataset. Both the uncorrected and corrected data are available.</li> <li>Additionally, a spike flag is included based on published protocol (Briggs et al., 2011).</li> </ul> <p> </p>
Shipboard Conductivity–Temperature–Depth (CTD) and dissolved oxygen profile data collected during hypoxia surveys along six hydrographic sampling lines within Olympic Coast National Marine Sanctuary, 2004–2015
<p>This data set includes Conductivity-Temperature-Depth (CTD) and dissolved oxygen profile data that were collected along Washington State’s outer coast within Olympic Coast National Marine Sanctuary (OCNMS). Measurements were made along six cross-shelf hydrographic sampling lines during a series of hypoxia survey cruises from 2004 – 2015. The 398 CTD profiles were acquired using Sea-Bird Scientific 19 SeaCAT or 19plus SeaCAT CTD profilers with associated SBE-43 (Sea-Bird Electronics) or Beckman or YSI-type (Yellow Springs Instruments) dissolved oxygen sensors. The data were processed via Sea-Bird Scientific’s SBE Data Processing application using six of the modules in the following order: Data Conversion, Filter, Align CTD, Loop Edit, Derive, and Bin Average. These processing steps and associated methods are the same as those used to process CTD data collected during OCNMS mooring maintenance cruises (<a href="https://www.sciencedirect.com/science/article/pii/S2352340924001422">Risien et al., 2024</a>) and along the Newport Hydrographic Line (<a href="https://www.sciencedirect.com/science/article/pii/S2352340922001342">Risien et al., 2022</a>) located off the central Oregon coast.</p> <table> <tbody> <tr> <td><strong>Station Name </strong></td> <td><strong>Latitude</strong></td> <td><strong>Longitude</strong></td> <td><strong>Water Depth (m, MLLW)</strong></td> </tr> <tr> <td><strong>Cape Alava (CA)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>CA010</td> <td>48.1661oN</td> <td>124.7540oW</td> <td>10</td> </tr> <tr> <td>CA020</td> <td>48.1661oN</td> <td>124.7598oW</td> <td>20</td> </tr> <tr> <td>CA030</td> <td>48.1659oN</td> <td>124.7783oW</td> <td>30</td> </tr> <tr> <td>CA040</td> <td>48.1659oN</td> <td>124.7852oW</td> <td>40</td> </tr> <tr> <td>CA045</td> <td>48.1659oN</td> <td>124.8335oW</td> <td>45</td> </tr> <tr> <td>CA050</td> <td>48.1658oN</td> <td>124.8578oW</td> <td>50</td> </tr> <tr> <td>CA060</td> <td>48.1659oN</td> <td>124.8843oW</td> <td>60</td> </tr> <tr> <td>CA070</td> <td>48.1655oN</td> <td>124.9011oW</td> <td>70</td> </tr> <tr> <td>CA080</td> <td>48.1657oN</td> <td>124.9141oW</td> <td>80</td> </tr> <tr> <td>CA090</td> <td>48.1659oN</td> <td>124.9247oW</td> <td>90</td> </tr> <tr> <td>CA100</td> <td>48.1658oN</td> <td>124.9319oW</td> <td>100</td> </tr> <tr> <td><strong>Teahwhit Head (TH)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>TH030</td> <td>47.8759oN</td> <td>124.6481oW</td> <td>30</td> </tr> <tr> <td>TH035</td> <td>47.8761oN</td> <td>124.7024oW</td> <td>35</td> </tr> <tr> <td>TH040</td> <td>47.8760oN</td> <td>124.7281oW</td> <td>40</td> </tr> <tr> <td>TH050</td> <td>47.8761oN</td> <td>124.7567oW</td> <td>50</td> </tr> <tr> <td>TH060</td> <td>47.8765oN</td> <td>124.7822oW</td> <td>60</td> </tr> <tr> <td>TH070</td> <td>47.8765oN</td> <td>124.8084oW</td> <td>70</td> </tr> <tr> <td>TH080</td> <td>47.8768oN</td> <td>124.8415oW</td> <td>80</td> </tr> <tr> <td>TH090</td> <td>47.8769oN</td> <td>124.8868oW</td> <td>90</td> </tr> <tr> <td>TH100</td> <td>47.8769oN</td> <td>124.9182oW</td> <td>100</td> </tr> <tr> <td><strong>Hoh Head (HH)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>HH025</td> <td>47.7688oN</td> <td>124.5605oW</td> <td>25</td> </tr> <tr> <td>HH042</td> <td>47.7688oN</td> <td>124.6428oW</td> <td>42</td> </tr> <tr> <td>HH065</td> <td>47.7688oN</td> <td>124.7401oW</td> <td>65</td> </tr> <tr> <td><strong>Raft River (RR)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>RR015</td> <td>47.4632oN</td> <td>124.3748oW</td> <td>15</td> </tr> <tr> <td>RR020</td> <td>47.4644oN</td> <td>124.4510oW</td> <td>20</td> </tr> <tr> <td>RR042</td> <td>47.4632oN</td> <td>124.5199oW</td> <td>42</td> </tr> <tr> <td>RR065</td> <td>47.4629oN</td> <td>124.6074oW</td> <td>65</td> </tr> <tr> <td><strong>Cape Elizabeth (CE)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>CE010</td> <td>47.3541oN</td> <td>124.3347oW</td> <td>10</td> </tr> <tr> <td>CE020</td> <td>47.354oN</td> <td>124.3608oW</td> <td>20</td> </tr> <tr> <td>CE030</td> <td>47.3538oN</td> <td>124.3913oW</td> <td>30</td> </tr> <tr> <td>CE040</td> <td>47.3534oN</td> <td>124.4678oW</td> <td>40</td> </tr> <tr> <td>CE050</td> <td>47.3532oN</td> <td>124.5064oW</td> <td>50</td> </tr> <tr> <td>CE060</td> <td>47.3529oN</td> <td>124.5510oW</td> <td>60</td> </tr> <tr> <td>CE070</td> <td>47.3528oN</td> <td>124.5823oW</td> <td>70</td> </tr> <tr> <td>CE080</td> <td>47.3527oN</td> <td>124.6158oW</td> <td>80</td> </tr> <tr> <td>CE090</td> <td>47.3526oN</td> <td>124.6491oW</td> <td>90</td> </tr> <tr> <td>CE100</td> <td>47.3522oN</td> <td>124.6754oW</td> <td>100</td> </tr> <tr> <td><strong>Moclips (MO)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>MO010</td> <td>47.2214oN</td> <td>124.2394oW</td> <td>10</td> </tr> <tr> <td>MO015</td> <td>47.2214oN</td> <td>124.2599oW</td> <td>15</td> </tr> <tr> <td>MO020</td> <td>47.2214oN</td> <td>124.2791oW</td> <td>20</td> </tr> <tr> <td>MO030</td> <td>47.2195oN</td> <td>124.3347oW</td> <td>30</td> </tr> <tr> <td>MO042</td> <td>47.2195oN</td> <td>124.3958oW</td> <td>42</td> </tr> </tbody> </table>
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).
Dissolved oxygen, temperature, chlorophyll-a, total phosphorus, total nitrogen, and dissolved organic carbon at multiple depths in 822 lakes from 1921-2022
Rapid changes in climate and land use are having substantial and interacting impacts on lake water quality around the world. Here, we synthesized time-series data for dissolved oxygen, temperature, chlorophyll-a, total phosphorus, total nitrogen, and dissolved organic carbon at multiple depths in 822 lakes to facilitate analyses of these changes. The dataset extends from 1921–2022, with a median data duration of 29 years (range 5-102) and a median of 5 unique sampling dates per year at each lake. Lakes in the dataset have a median depth of 12.5 m (range 1.5–480 m), median surface area of 85.4 ha (range: 0.5–237000 ha) and median elevation of 264 m (range: -215–2804). The lakes are located in 18 countries across 5 continents, with latitudes ranging from -42.6 to 68.3. To facilitate interoperability with other large-scale datasets, each lake is linked to a unique hydroLAKES lake ID when possible (n = 683).
Lower American River dissolved oxygen monitoring, CA (2022 - 2024)
The purpose of the Lower American River (LAR) dissolved oxygen monitoring is to provide timely information to better understand how dissolved oxygen levels in the LAR fluctuate over time and space, particularly in relation to Folsom and Nimbus Dam operations, and if conditions are stressful to adult Chinook salmon in Nimbus Basin during the fall spawning period. This information has been collected from summer 2022 to present (winter 2024) used to inform resource managers about a biologically important water quality parameter during a key period in Chinook Salmon life history so they can take action to address poor water quality using water releases from dam gates or other means. Reports are provided to the American River Group as needed, generally on a monthly basis, to support water quality management discussions.
Interagency Ecological Program: Discrete dissolved oxygen monitoring in the Stockton Deep Water Ship Channel, collected by the Environmental Monitoring Program, 1997-2018
Dissolved oxygen levels in the Stockton Deep Water Ship Chanel (SDWSC) have been monitored since 1968 by the Interagency Ecological Program's (IEP) Environmental Monitoring Program (EMP). The SDWSC is located on the San Joaquin River near Stockton, California. Beginning in 1997, 14 stations were routinely monitored typically in summer and fall. Dissolved oxygen impairment can occur in the SDWSC; therefore, two water quality objectives were established. The objectives of the dissolved oxygen monitoring study in the SDWSC are to: (1) determine if dissolved oxygen levels comply with the water quality objectives, (2) monitor long term trends, and (3) detect and document changes along the SDWSC. The EMP collects discrete dissolved oxygen readings near the surface and bottom of the water column during ebb slack tide. The 14 stations are located between Prisoner's Point on the San Joaquin River and ends at the terminus of the channel called Turning Basin. The site locations were selected at the channel markers on the San Joaquin River; therefore, may be referred as station number or channel marker they are located at. Dissolved oxygen and water temperature were recorded 1-meter below surface and 1-meter above the bottom of the channel. Over the period of record the following water quality parameters have been added: water temperature, specific conductance, pH, fluorescence, turbidity, secchi disk and a rating score for the blue-green algae, Microcystis aeruginosa.
Underwater temperature, light, and dissolved oxygen data from 3 mini-buoys in Lake Sunapee, NH, USA from June to October 2018
Three mini-buoys were deployed during a portion of the ice-off period of 2018 in Lake Sunapee, NH, USA with HOBO temperature sensors at various depths below the water’s surface. Temperature data were collected using HOBO pendant temperature and HOBO pendant temperature/light sensors at descending depths between 0.1m and the nearest whole and/or half meter increments below the water surface and above the sediment/water interface at 10 minute intervals. Two buoys (Georges Mills and Herrick Cove) also had miniDOT (PME) dissolved oxygen and temperature sensors placed 1.75 meters below the surface. The buoys were located in cove areas of the lake in the north east arm of the lake (Herrick Cove, 0.1m – 6.5m), the west side of the southern area of the lake near Lake Sunapee State Beach (State Beach, 0.1m – 2.5m) and the northwest arm of the lake (George’s Mills, 0.1m -7m). This data has been QAQC’d to remove obviously errant data and artifacts of buoy maintenance visits.
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.
Nyack Floodplain RiverNet surface water and groundwater dissolved oxygen, conductivity, water level, and temperature Northwest Montana, USA, 2012-2020
Water dissolved oxygen, conductivity, temperature, and level from ten locations in the Nyack Floodplain of the Middle Fork of the Flathead River in Northwest Montana, USA. Measurements are made hourly for the period of 2012 to 2020. Six sensor are placed in groundwater wells and four are placed in surface water. Data up to June 26h, 2019 have been cleaned to remove bad data and flag potentially anomalous observations.
Measurements of water column specific conductivity, salinity, dissolved oxygen, chlorophyll, temperature, and pH by deployed datasondes every 20 minutes for several periods during the summertime in 2017-2020
West Falmouth Harbor (West Falmouth, MA, USA) has been experiencing a dramatic increase in nitrogen loading from an upgradient municipal wastewater treatment facility since the early 2000's. As part of a long-term study into the effects of this nitrogen enrichment, we have measured water column parameters at 20 minute intervals in two locations within West Falmouth Harbor (West Falmouth, MA, USA), one in the well-flushed outer basin and one in the inner basin closer to the dominant groundwater N source. The goal of this dataset is to compare conditions at the two sites, as well as to derive rates of metabolism. Parameters measured include temperature, specific conductivity, salinity, dissolved oxygen, chlorophyll, and pH. YSI Datasondes were deployed during 4 periods ranging from 6 to 11 days in July and August, suspended vertically from a surface buoy. Over all deployments, instruments passed all QA checks, and average differences between the two instruments over all deployments were less than 0.06 degrees C (temperature), 0.3 (salinity), 0.05 (pH), 1.0 µg/L (chlorophyll), 1.5 (%DO Saturation). Data provided here are not corrected for drift, and chlorophyll data are uncorrected as reported by the instruments. Chlorophyll reported is uncorrected from the YSI calculation based on in-situ fluorescence and calibration with a single-point using deionized water. Lab fluorometric analysis checks show that the YSI chlorophyll is over-reporting by at least 20% at low concentrations, and high concentrations were not able to be validated. Methodology details and analysis of earlier data can be found in Howarth et al 2014, "Metabolism of a nitrogen-enriched coastal marine lagoon during the summertime," doi:10.1007/s10533-013-9901-x
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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.