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Dataset results
163 results for “Water chemistry”
Illinois EPA Ambient Lake Monitoring Program (ALMP): lake water chemistry, 1999-2000
The Illinois EPA’s Ambient Lake Monitoring Program (ALMP) was created in 1977 in cooperation with the IL Department of Conservation to assess trends in a select few IL public lakes. The Illinois EPA biologists work out of three Illinois EPA regional offices: Springfield, Marion, and Des Plaines and monitor lakes in their respective areas. Approximately fifty lakes are monitored annually and of those, twenty-five are termed “Core Lakes”. A total of 75 publicly-owned lakes were chosen throughout the state of Illinois as Core Lakes. Previously these lakes were monitored every three years in order to establish a long-term monitoring trends database. In 2008 these lakes and select others were monitored on a five year rotational basis. All lakes are monitored five times yearly; once during the spring runoff and turnover period (April or May), three times during the summer (June, July, August), and once during the fall turnover period (October). Depending on the size of the lake, usually three lake sites are monitored. Monitoring includes collection of water quality and sediment samples as well as, field observation data/measurements such as Secchi disk transparency readings, dissolved oxygen, temperature, quantity of algae, macrophytes, and other key aspects of the lake and sampling event. Water quality samples are collected from one foot below the surface at all sites and two feet above the bottom at only the deepest site. These samples are routinely analyzed for suspended solids, nutrients, and chlorophyll. Additional parameters may be added for a designated period of time at select lakes based on changing data needs.
Illinois EPA Ambient Lake Monitoring Program (ALMP): lake water chemistry, 2001-2004
The Illinois EPA’s Ambient Lake Monitoring Program (ALMP) was created in 1977 in cooperation with the IL Department of Conservation to assess trends in a select few IL public lakes. The Illinois EPA biologists work out of three Illinois EPA regional offices: Springfield, Marion, and Des Plaines and monitor lakes in their respective areas. Approximately fifty lakes are monitored annually and of those, twenty-five are termed “Core Lakes”. A total of 75 publicly-owned lakes were chosen throughout the state of Illinois as Core Lakes. Previously these lakes were monitored every three years in order to establish a long-term monitoring trends database. In 2008 these lakes and select others were monitored on a five year rotational basis. All lakes are monitored five times yearly; once during the spring runoff and turnover period (April or May), three times during the summer (June, July, August), and once during the fall turnover period (October). Depending on the size of the lake, usually three lake sites are monitored. Monitoring includes collection of water quality and sediment samples as well as, field observation data/measurements such as Secchi disk transparency readings, dissolved oxygen, temperature, quantity of algae, macrophytes, and other key aspects of the lake and sampling event. Water quality samples are collected from one foot below the surface at all sites and two feet above the bottom at only the deepest site. These samples are routinely analyzed for suspended solids, nutrients, and chlorophyll. Additional parameters may be added for a designated period of time at select lakes based on changing data needs.
Illinois EPA Ambient Lake Monitoring Program (ALMP): lake water chemistry for all labs, 2004-2005
The Illinois EPA’s Ambient Lake Monitoring Program (ALMP) was created in 1977 in cooperation with the IL Department of Conservation to assess trends in a select few IL public lakes. The Illinois EPA biologists work out of three Illinois EPA regional offices: Springfield, Marion, and Des Plaines and monitor lakes in their respective areas. Approximately fifty lakes are monitored annually and of those, twenty-five are termed “Core Lakes”. A total of 75 publicly-owned lakes were chosen throughout the state of Illinois as Core Lakes. Previously these lakes were monitored every three years in order to establish a long-term monitoring trends database. In 2008 these lakes and select others were monitored on a five year rotational basis. All lakes are monitored five times yearly; once during the spring runoff and turnover period (April or May), three times during the summer (June, July, August), and once during the fall turnover period (October). Depending on the size of the lake, usually three lake sites are monitored. Monitoring includes collection of water quality and sediment samples as well as, field observation data/measurements such as Secchi disk transparency readings, dissolved oxygen, temperature, quantity of algae, macrophytes, and other key aspects of the lake and sampling event. Water quality samples are collected from one foot below the surface at all sites and two feet above the bottom at only the deepest site. These samples are routinely analyzed for suspended solids, nutrients, and chlorophyll. Additional parameters may be added for a designated period of time at select lakes based on changing data needs.
Illinois EPA Ambient Lake Monitoring Program (ALMP): lake water chemistry for all labs, 2006-2008
The Illinois EPA’s Ambient Lake Monitoring Program (ALMP) was created in 1977 in cooperation with the IL Department of Conservation to assess trends in a select few IL public lakes. The Illinois EPA biologists work out of three Illinois EPA regional offices: Springfield, Marion, and Des Plaines and monitor lakes in their respective areas. Approximately fifty lakes are monitored annually and of those, twenty-five are termed “Core Lakes”. A total of 75 publicly-owned lakes were chosen throughout the state of Illinois as Core Lakes. Previously these lakes were monitored every three years in order to establish a long-term monitoring trends database. In 2008 these lakes and select others were monitored on a five year rotational basis. All lakes are monitored five times yearly; once during the spring runoff and turnover period (April or May), three times during the summer (June, July, August), and once during the fall turnover period (October). Depending on the size of the lake, usually three lake sites are monitored. Monitoring includes collection of water quality and sediment samples as well as, field observation data/measurements such as Secchi disk transparency readings, dissolved oxygen, temperature, quantity of algae, macrophytes, and other key aspects of the lake and sampling event. Water quality samples are collected from one foot below the surface at all sites and two feet above the bottom at only the deepest site. These samples are routinely analyzed for suspended solids, nutrients, and chlorophyll. Additional parameters may be added for a designated period of time at select lakes based on changing data needs.
Illinois EPA Ambient Lake Monitoring Program (ALMP): lake water chemistry for all labs, 2009
The Illinois EPA’s Ambient Lake Monitoring Program (ALMP) was created in 1977 in cooperation with the IL Department of Conservation to assess trends in a select few IL public lakes. The Illinois EPA biologists work out of three Illinois EPA regional offices: Springfield, Marion, and Des Plaines and monitor lakes in their respective areas. Approximately fifty lakes are monitored annually and of those, twenty-five are termed “Core Lakes”. A total of 75 publicly-owned lakes were chosen throughout the state of Illinois as Core Lakes. Previously these lakes were monitored every three years in order to establish a long-term monitoring trends database. In 2008 these lakes and select others were monitored on a five year rotational basis. All lakes are monitored five times yearly; once during the spring runoff and turnover period (April or May), three times during the summer (June, July, August), and once during the fall turnover period (October). Depending on the size of the lake, usually three lake sites are monitored. Monitoring includes collection of water quality and sediment samples as well as, field observation data/measurements such as Secchi disk transparency readings, dissolved oxygen, temperature, quantity of algae, macrophytes, and other key aspects of the lake and sampling event. Water quality samples are collected from one foot below the surface at all sites and two feet above the bottom at only the deepest site. These samples are routinely analyzed for suspended solids, nutrients, and chlorophyll. Additional parameters may be added for a designated period of time at select lakes based on changing data needs.
Illinois EPA Ambient Lake Monitoring Program (ALMP): lake water chemistry from the Champlaign laboratory, 2006
The Illinois EPA’s Ambient Lake Monitoring Program (ALMP) was created in 1977 in cooperation with the IL Department of Conservation to assess trends in a select few IL public lakes. The Illinois EPA biologists work out of three Illinois EPA regional offices: Springfield, Marion, and Des Plaines and monitor lakes in their respective areas. Approximately fifty lakes are monitored annually and of those, twenty-five are termed “Core Lakes”. A total of 75 publicly-owned lakes were chosen throughout the state of Illinois as Core Lakes. Previously these lakes were monitored every three years in order to establish a long-term monitoring trends database. In 2008 these lakes and select others were monitored on a five year rotational basis. All lakes are monitored five times yearly; once during the spring runoff and turnover period (April or May), three times during the summer (June, July, August), and once during the fall turnover period (October). Depending on the size of the lake, usually three lake sites are monitored. Monitoring includes collection of water quality and sediment samples as well as, field observation data/measurements such as Secchi disk transparency readings, dissolved oxygen, temperature, quantity of algae, macrophytes, and other key aspects of the lake and sampling event. Water quality samples are collected from one foot below the surface at all sites and two feet above the bottom at only the deepest site. These samples are routinely analyzed for suspended solids, nutrients, and chlorophyll. Additional parameters may be added for a designated period of time at select lakes based on changing data needs.
New Hampshire, Mirror Lake LTER water chemistry, 1967-2010
The New York State Lake Classification and Inventory (LCI) monitoring program, which is a component of the Statewide Waters Monitoring Program of the New York State Department of Environmental Conservation Division of Water (NYSDEC). Data was originally provided in an excel sheet LCI Master 1982-2010 updated and this is available in dropbox. The LAGOS-appropriate (shortened, some processing) file is LCI Master 1982-2010_shortened.xls. The LCI database is a complement to the CSLAP database. LCI began in the early 1980s an ambient lake monitoring program to evaluate baseline water quality conditions in lakes throughout the state, utilizing a rotating monitoring cycle loosely patterned after the stream monitoring programs conducted by the Department. However, due to staff shortages, this ambient lake monitoring program (the LCI) was suspended in 1990. This left the NY Citizens Statewide Lake Assessment Program (CSLAP), a volunteer lake monitoring program overseen by NYSDEC, as the only statewide ambient lake monitoring program conducted by the NYSDEC. However, the LCI program was re-initiated in the mid-1990s, using a rotating-basin approach to sampling. Note that some of the lakes appear in both data sets. The primary goals of the LCI Monitoring Program component of the New York Statewide Waters Monitoring Program include: 1) water quality screening of as many waters as possible to document “good” waters that support designated uses, and identify waters with possible/potential impairment to uses; 2) Intensive sampling of selected waters to evaluate impairments, causes and sources and to characterize general water quality conditions
Synoptic water chemistry and discharge data for the Glyndon and Baismans Run sampling sites - 2001 - 2002
This is stream water quality and discharge data collected by Steven Kenworthy using flow velocity measurement method. Samples and discharge measurments were taken approximately once per month from June 2001 to June 2002. Locations within Pond Branch, Baisman Run, and Glyndon are denoted in the MetadataCodes Tab of the Excel Workssheet. Flow and Streamwater Sampling Station Codes........ Pond Branch........ PB4 (PBC2)........Upper PB spring (PBC2 was an error in labeling) PB3a........PB @ upper riparian wells PB3........PB below gas line PB2a........PB @ lower riparian wells POBR........Pond Branch at gage Baisman Run........ BR5a........Baisman Run @ upper gage (Red's flume) BR5........Baisman Run Northwest tributary basin BR6........Baisman Run Southwest tributary basin BR4........Northern tributary (west of Pond Branch) BR3........Southern tributary BR7........Baisman Run upstream of Pond Branch Confluence BR2........Pond Branch between pond and yellow trail BARN........Baisman at gage (Ivy Hill Rd.) Gwynns Falls @ Glyndon........ GL9........GF southern tributary (Glyndon Gate) in woods upstream of pond and ditch GL6........GF main channel in forest downstream of log cabin GL4........GF downstream of Sacred Heart Rd. GL3........GF upstream of Chatsworth ave (@ lower riparian wells) GL2 (GFGL side) ........Schoolbus lot / Dyer Rd. tributary GL2a (GFGL main) ........GF above schoolbus trib junction (reg. stream crew did this > sometimes) GFGL/GL1........Gwynns Falls @ Glyndon Gage NO3 and TN are mg of N/L........ Cl and SO4 are mg/L........ PO4 and TP are mg of P/L Concentrations that were below the lowest standard run are reported as follows: NO3 and TN 0.01 CL and SO4 0.05 PO4 and TP 1.5
Synoptic water chemistry and discharge data for the Baismans Run sampling sites - 2007 - 2008
This is stream water quality and discharge data collected by Monica Smith using flow velocity measurment method. Samples and discharge measurments were taken approximately once per month from August 2008 to October 2007. Locations within Baisman Run are denoted below: Department of Geography University of North Carolina at Chapel Hill. UTM 18N BA3-SF1B 353952.4775 4370933.534 BA3-SF2A 353824.1488 4370802.221 BA3-SF2B 353871.899 4370793.268 BA3-SF3A 353746.5547 4370644.048 BA3-SF3B 353794.3049 4370638.08 BA3-SF2R 353991.2746 4370888.768 BA3-SF1L 353979.337 4370918.612 BA3 354500.9953 4371320.992 BA5a-JC1 353278.0057 4371970.732 BA5a-JC2 353474.9753 4372018.482 BA3-SF1A 353913.6804 4370964.855
ADEQ (Arizona Department of Water Quality) database on well water chemistry and discharge for the Phoenix area, locations of the wells.
This database from the Arizona Department of Environmental Quality contains water chemistry, discharge, and pumping rates for all wells in the Phoenix Metropolitan area.
Hubbard Brook Experimental Forest: Synoptic Surface Water Chemistry, 2015
This dataset presents field and analytical data collected during a synoptic surface water sampling survey on July 22-23, 2015. Watershed 3, watershed 9, and the upper west branch of Zig Zag Brook were included. Some results from these three catchments were published by Bailey et al. 2019, Frontiers in Earth Science. Additional sampling sites not included in this publication were on Paradise Brook, between weir 3 and its outlet to Hubbard Brook, and along the main stem of Hubbard Brook in the western portion of the valley. Sampling sites are designated as stream sites or seeps. Seeps are either off of the stream channel or are at anomolously perennial channel initiation points and are presumed to represent "longer, deeper" flowpaths where groundwater discharges to the surface. Seeps are typically characterized as having relatively low water temperature in the summer, and with chemistry contrasting from adjacent stream sites. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Dataset for the chemistry of water-soluble fraction in cloud water and aerosols collected at Mt. Tianjing in 2018 and 2020
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LBA-ECO ND-02 Stream Water Chemistry, Paragominas, Para, Brazil: 1999-2005
This data set includes measurements of dissolved nutrient and organic carbon concentrations, as well as dissolved oxygen, alkalinity, conductivity, turbidity, pH, and discharge from three streams located in mixed land use (crop fields, pastures, secondary vegetation, and forest) and two streams in entirely forested landscapes near Paragominas in the state of Para, Brazil. Stream water samples were collected during two different periods: 1) weekly from August 1999 to July 2001 at location Igarape 54, Station 5 and 2) monthly from April 2003 through October 2005 at all of the stations. The exact start date and suite of measurements vary by location. In addition, samples from precipitation collectors at the Paragominas Meteorological Station were measured for nutrient concentrations every two weeks from 1999 to 2001. There are two comma delimited ASCII data files with this data set.
LBA-ECO ND-30 Water Chemistry, Rainfall Exclusion, km 67, Tapajos National Forest
This data set reports the results of chemical analyses of rainfall, throughfall, litter leachate, and soil water samples collected before, during, and after a rainfall exclusion experiment conducted at the km 67 Seca Floresta site, Tapajos National Forest, Brazil. Samples were collected every two weeks from May 17, 1999 through May 10, 2006. Measurements included alkalinity, conductivity, pH, and selected anions and cations analyzed by ion chromatography.The exclusion treatment, began in late January 2000 and continued through December 2004, involved diverting about 60% of throughfall (equivalent to approximately half the rainfall) from a 1-hectare plot using plastic panels installed in the understory. The comparable 1-hectare control plot was unaltered. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad et al., 2002 and Nepstad et al., 2007). There are five comma-delimited data files with this data set.
Water Chemistry Profiles of Milwaukee Estuary System Sites
<p>Contaminants of Emerging Concern (CECs) can be measured in waters across the United States, including the tributaries of the Great Lakes. The extent to which these contaminants affect gene expression in aquatic wildlife is unclear. This dataset presents the full hepatic transcriptomes of laboratory reared fathead minnows (<em>Pimephales promelas</em>) caged at multiple sites within the Milwaukee Estuary area of concern and control sites. Following 4 days of in situ exposure, liver tissue was removed from males at each site for RNA extraction and sequencing, yielding a total of 116 samples from which libraries were prepared, pooled, and sequenced. For each exposure site, 179 chemical analytes were also assessed. These data were created with the intention of inviting research on possible transcriptomic changes observed in aquatic species exposed to CECs. Access to both full sequencing reads of animal samples as well as water contaminant data across multiple Great Lakes sites will allow others to explore the health of these ecosystems, in support of the aims of the Great Lakes Restoration Initiative.</p>
Col d'Olen, water chemistry (N-NO3) 2008-2019
<p> </p> <p>Dataset provides information about soil temperature, soil C and N dynamics at different sites in the alpine tundra, along an elevational gradient from 2500 to 2900 m asl during the period 2005-2018. Moreover, in ordrer to evaluate how topsoil can influence the quality of surface water, lake water was sampled monthly at the same time that soil was sampled. The N-NO3 concentration is measured from 2008 to 2019 in water samples collected in triplicate in two lakes (Cimalegna and Bowditch). The ongoing studies aimed at investigating how the meteorological variables affect the biogeochemistry of seasonally snow covered areas, with a special focus on the effect of the snow cover duration on soil and water C and N dynamics during the growing season.</p>
Col d'Olen, water chemistry (N-NH4) 2008-2019
<p>Dataset provides information about soil temperature, soil C and N dynamics at different sites in the alpine tundra, along an elevational gradient from 2500 to 2900 m asl during the period 2005-2018. Moreover, in ordrer to evaluate how topsoil can influence the quality of surface water, lake water was sampled monthly at the same time that soil was sampled. The N-NH4 concentration is measured in water samples collected in triplicate in two lakes (Cimalegna and Bowditch) from 2008 to 2019. The ongoing studies aimed at investigating how the meteorological variables affect the biogeochemistry of seasonally snow covered areas, with a special focus on the effect of the snow cover duration on soil and water C and N dynamics during the growing season.</p>
Immersion enthalpies of nanomaterials (metals, metal oxides, organic chemistry structures) in water and octanol through molecular dynamics simulations with GROMACS and LAMMPS software
<p>Molecular dynamics simulations (free energy calculations) of water interface properties of spherical and Wulff structures nanoparticles (metals, metal oxides and carbon structures) with GROMACS and LAMMPS software.</p>
Water chemistry of playa wetlands in the Southern High Plains region of Texas from May - August 2019
<p>Playa wetlands are the primary hydrological features in the Southern High Plains region of Texas. Texas playas are located predominantly on private land and gaining access for aquatic habitat surveys can be challenging. The associated data are provided to increase publicly-available water chemistry measurements from regional playa wetlands in rural environs. </p>
Water chemistry of playa wetlands in the Southern High Plains region of Texas from May - August 2019
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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.