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Dataset results
28 results for “synoptic sampling”
Water chemistry data from synoptic sampling of 235 Lake Michigan tributaries: 10-15 July, 2018
This dataset includes nutrient (total nitrogen and phosphorus, soluble reactive phosphorus, and dissolved inorganic nitrogen [nitrate+nitrite+ammonium]) and chloride concentrations for 235 tributaries of Lake Michigan collected during a synoptic sampling event from 10-15 July, 2018. The dataset also includes modeled discharge metrics for the 235 sampled watersheds, as well as spatial watershed characteristics.
Respiration in soils collected from the REU synoptic sample grid in the Andrews Experimental Forest, 1994-1995
The 1993 (SP005) sampling grid was expanded to 183 sites providing a more comprehensive sampling grid. Because of potential edge effects problems, all sample locations were moved at least 20 meters from the closest road or clearing. Changes from the original location are given in entity 2. CO2 is measured over a period of 41 weeks in soils collected from all of the REU synoptic sample sites in the summer of 1994. Soils were weighted at the same time that respiration was assayed and moisture content was maintained at the same level throughout the series. The time period represented by this data is 15 September 1994 to 12 July 1995. In the initial stages, CO2 concentrations were assayed every week, after 15 weeks, the incubation period was extended to 2 weeks. After the incubation vessels were assayed, the headspace was flushed with lab air and the moisture was adjusted with sterile deionized water. Results show that there was a very high correlation between respiration rates during the 1st and 3rd weeks (r = 0.96) suggesting that the two week incubation period we us as an indicator of initial concentrations of labile carbon is valid. There was also a high correlation between rates observed within the first week and rates observed after 41 weeks (r = 0.85) suggesting that the initial rates provide a good relative guide to rates observed after 10 months. In addition, respiration rates after 41 weeks were 80% of those observed during the first week.
Coweeta Synoptic Data from 49 sampling sites in the Upper Little Tennessee River Basin from 2009 to 2010 (mesoscale habitat data)
This data was generated as part of synoptic sampling conducted at the Coweeta LTER between June 2009 and May 2010. 49 wadeable streams with low levels of development were sampled throughout the Upper Little Tennessee River Basin in the Southern Appalachians. Effects of riparian vegetative conditions on a suite of channel morphological variables were investigated: active channel width, variability of width within a reach, large wood frequency, mesoscale habitat distributions, median particle size, and percent fines. Stream mesoscale habitat areas for each 150 m stream reach were recorded in this particular dataset. At each site, a uniform 150 meter section of stream was surveyed. Observers kept a running tally of the areas associated with various mesoscale habitat units including, cascades, riffles, pools, alcoves, pocket water, runs, glides, and obstructions.
Field data for seasonal synoptic sampling of 100 urban streams in Boston, Massachusetts (USA) from 2021-2022
This dataset contains field measurements taken during water sampling from 100 urban stream locations in the greater Boston, Massachusetts (USA) metropolitan area. Field collection took place during four synoptic sampling events (September 2021, November 2021, April 2022, and July 2022) to capture spatial and seasonal variation in stream conditions (specific conductivity, water temperature, dissolved oxygen, pH). Filtered stream samples were analyzed for dissolved organic carbon concentration and characteristics, available in a separate dataset. These data were collected as part of the Carbon in Urban Rivers Biogeochemistry (CURB) Project. Detailed field data and site data are published separately and can be linked using the “curbid” and “synoptic_event” columns in each dataset.
Dissolved organic matter characterization for seasonal synoptic sampling of 100 urban streams in Boston, Massachusetts (USA) from 2021-2022
This dataset contains dissolved organic matter (DOM) characteristics from surface water samples collected at 100 urban stream locations in the greater Boston, Massachusetts metropolitan area. Samples were collected four times (September 2021, November 2021, April 2022, and July 2022) to capture spatial and seasonal variation in DOM characteristics. Fluorescent optical properties were measured on filtered water samples to understand the chemical composition of DOM. Excitation-Emission Matrices (EEMs) were measured using a Horiba Aqualog spectrometer. DOM characteristics were quantified using both standard fluorescence and absorbance metrics as well as through parallel factor (PARAFAC) analysis. These data were collected as part of the Carbon in Urban Rivers Biogeochemistry (CURB) Project. Detailed field data and site data are published separately and can be linked using the “curbid” and “synoptic_event” columns in each dataset.
Dissolved organic carbon concentrations for seasonal synoptic sampling of 100 urban streams in Boston, Massachusetts (USA) from 2021-2022
This dataset contains dissolved organic carbon (DOC) concentrations from surface water samples collected at 100 urban stream locations in the greater Boston, Massachusetts metropolitan area. Samples were collected four times (September 2021, November 2021, April 2022, and July 2022) to capture spatial and seasonal variation in DOC concentrations. Filtered stream samples were analyzed for dissolved organic carbon concentration. These data were collected as part of the Carbon in Urban Rivers Biogeochemistry (CURB) Project. Detailed field data and site data are published separately and can be linked using the “curbid” and “synoptic_event” columns in each dataset.
Dissolved organic carbon concentrations for seasonal synoptic sampling of 100 urban streams in Miami, Florida (USA) from 2021-2022
This dataset contains dissolved organic carbon concentrations from surface water samples collected at 100 urban stream and canal locations in the greater Miami, Florida metropolitan area. Samples were collected five times across different seasons to capture spatial and seasonal variation in DOC concentration. These events include the wet seasons of 2021 and 2022, as well as the dry season of 2022, specifically: Summer 2021 (Wet; July 8 to July 27), Fall 2021 (Wet; September 27 to October 7), Winter 2022 (Dry; January 3 to January 13), Spring 2022 (Dry; April 7 to April 23), and Summer 2022 (Wet; June 1 to June 13). These data were collected as part of the Carbon in Urban Rivers Biogeochemistry (CURB) Project. Detailed field data and site data are published separately and can be linked using the “curbid” and “synoptic_event” columns in each dataset.
Dissolved organic matter characterization for seasonal synoptic sampling of 100 urban streams in Miami, Florida (USA) from 2021-2022
This dataset contains dissolved organic matter (DOM) characteristics from surface water samples collected at 100 urban stream and canal locations in the greater Miami, Florida metropolitan area. Samples were collected five times across different seasons to capture spatial and seasonal variation in DOC concentration. These events include the wet seasons of 2021 and 2022, as well as the dry season of 2022, specifically: Summer 2021 (Wet; July 8 to July 27), Fall 2021 (Wet; September 27 to October 7), Winter 2022 (Dry; January 3 to January 13), Spring 2022 (Dry; April 7 to April 23), and Summer 2022 (Wet; June 1 to June 13). Fluorescent optical properties were measured on filtered water samples to understand the chemical composition of DOM. Excitation-Emission Matrices (EEMs) were measured using a Horiba Aqualog spectrometer. DOM characteristics were quantified using both standard fluorescence and absorbance metrics as well as through parallel factor (PARAFAC) analysis. These data were collected as part of the Carbon in Urban Rivers Biogeochemistry (CURB) Project. Detailed field data and site data are published separately and can be linked using the “curbid” and “synoptic_event” columns in each dataset.
Field data for seasonal synoptic sampling of 100 urban streams in Miami, Florida (USA), 2021-2022
This dataset contains field measurements taken during water sampling from 100 urban stream locations in the greater Miami, Florida metropolitan area. Field collection took place during five synoptic sampling events: Summer 2021 (Wet; July 8 to July 27), Fall 2021 (Wet; September 27 to October 7), Winter 2022 (Dry; January 3 to January 13), Spring 2022 (Dry; April 7 to April 23), and Summer 2022 (Wet; June 1 to June 13) to capture spatial and seasonal variation in stream conditions (specific conductivity, water temperature, dissolved oxygen, pH). Filtered stream samples were analyzed for dissolved organic carbon concentration and characteristics, available in a separate dataset. These data were collected as part of the Carbon in Urban Rivers Biogeochemistry (CURB) Project. Detailed field data and site data are published separately and can be linked using the “curbid” and “synoptic_event” columns in each dataset.
Dissolved organic matter characterization for seasonal synoptic sampling of 100 urban streams in Portland, Oregon (USA) from 2023-2024
This dataset contains dissolved organic matter characteristics from surface water samples collected at 100 urban stream locations in the greater Portland, Oregon metropolitan area. Samples were collected four times (July 2023, October 2023, January 2024, and May 2024) to capture spatial and seasonal variation in DOC concentrations. Fluorescent optical properties were measured on filtered water samples to understand the chemical composition of dissolved organic matter. Excitation-Emission Matrices (EEMs) were measured using a Horiba Aqualog spectrometer. DOM characteristics were quantified using both standard fluorescence and absorbance metrics as well as through parallel factor (PARAFAC) analysis. These data were collected as part of the Carbon in Urban Rivers Biogeochemistry (CURB) Project. Detailed field data and site data are published separately and can be linked using the “curbid” and “synoptic_event” columns in each dataset.
Dissolved organic carbon concentrations for seasonal synoptic sampling of 100 urban streams in Portland, Oregon (USA) from 2023-2024
This dataset contains dissolved organic carbon concentrations from surface water samples collected at 100 urban stream locations in the greater Portland, Oregon metropolitan area. Samples were collected four times (July 2023, October 2023, January/February 2024, and May 2024) to capture spatial and seasonal variation in DOC concentrations. Filtered stream samples were analyzed for dissolved organic carbon concentration. These data were collected as part of the Carbon in Urban Rivers Biogeochemistry (CURB) Project. Detailed field data and site data are published separately and can be linked using the “curbid” and “synoptic_event” columns in each dataset
Field data for seasonal synoptic sampling of 100 urban streams in Portland, Oregon (USA), 2023-2024
This dataset contains field measurements taken during water sampling from 100 urban stream locations in the greater Portland, Oregon (USA) metropolitan area. Field collection took place during four synoptic sampling events (July 2023, October 2023, January/February 2024, and May 2024) to capture spatial and seasonal variation in stream conditions (specific conductivity, water temperature, dissolved oxygen, pH, ORP). Filtered stream samples were analyzed for dissolved organic carbon concentration and characteristics, available in a separate dataset. These data were collected as part of the Carbon in Urban Rivers Biogeochemistry (CURB) Project. Detailed field data and site data are published separately and can be linked using the “curbid” and “synoptic_event” columns in each dataset.
Dissolved organic carbon concentrations for seasonal synoptic sampling of 100 urban streams in Salt Lake City, Utah (USA) from 2022-2023
This dataset contains dissolved organic carbon concentrations from surface water samples collected at 100 urban stream locations in the greater Salt Lake City, Utah metropolitan area. Samples were collected four times (July 2022, October 2022, February 2023, and May 2023) to capture spatial and seasonal variation in DOC concentrations. Filtered stream samples were analyzed for dissolved organic carbon concentration. These data were collected as part of the Carbon in Urban Rivers Biogeochemistry (CURB) Project. Detailed field data and site data are published separately and can be linked using the “curbid” and “synoptic_event” columns in each dataset.
Field data for seasonal synoptic sampling of 100 urban streams in Salt Lake City, Utah (USA), 2023-2024
This dataset contains field measurements taken during water sampling from 100 urban stream locations in the greater Salt Lake City, Utah (USA) metropolitan area. Field collection took place during four synoptic sampling events (July 2022, October 2022, February 2023, and May 2023) to capture spatial and seasonal variation in stream conditions (specific conductivity, water temperature, dissolved oxygen, pH, ORP). Filtered stream samples were analyzed for dissolved organic carbon concentration and characteristics, available in a separate dataset. These data were collected as part of the Carbon in Urban Rivers Biogeochemistry (CURB) Project. Detailed field data and site data are published separately and can be linked using the “curbid” and “synoptic_event” columns in each dataset.
Dissolved organic matter characterization for seasonal synoptic sampling of 100 urban streams in Salt Lake City, Utah (USA) from 2023-2024
This dataset contains dissolved organic matter (DOC) characteristics from surface water samples collected at 100 urban stream locations in the greater Salt Lake City, Utah metropolitan area. Samples were collected four times (July 2023, October 2023, January 2024, and May 2024) to capture spatial and seasonal variation in DOC concentrations. Fluorescent optical properties were measured on filtered water samples to understand the chemical composition of dissolved organic matter. Excitation-Emission Matrices (EEMs) were measured using a Horiba Aqualog spectrometer. DOM characteristics were quantified using both standard fluorescence and absorbance metrics as well as through parallel factor (PARAFAC) analysis. These data were collected as part of the Carbon in Urban Rivers Biogeochemistry (CURB) Project. Detailed field data and site data are published separately and can be linked using the “curbid” and “synoptic_event” columns in each data
Dissolved organic carbon concentrations for seasonal synoptic sampling of 93 urban streams in Atlanta, Georgia (USA) from 2021-2022
This dataset contains dissolved organic carbon concentrations from surface water samples collected at 93 first- to fifth-order streams in the Altamaha, Chattahoochee, and Flint Watersheds draining a gradient of urban land use in the greater Atlanta, Georgia metropolitan area. Samples were collected four times (September 2021, December 2021, March 2022, and July 2022) to capture spatial and seasonal variation in DOC concentrations. Filtered stream samples were analyzed for dissolved organic carbon concentration. These data were collected as part of the Carbon in Urban Rivers Biogeochemistry (CURB) Project. Detailed field data and site data are published separately and can be linked using the “curbid” and “synoptic_event” columns in each dataset.
Dissolved organic matter characterization for seasonal synoptic sampling of 93 urban streams in Atlanta, Georgia (USA) from 2021-2022
This dataset contains dissolved organic matter (DOM) characteristics from surface water samples collected at 93 first- to fifth-order streams in the Altamaha, Chattahoochee, and Flint Watersheds draining a gradient of urban land use in the greater Atlanta, Georgia metropolitan area. Samples were collected four times (September 2021, December 2021, March 2022, and July 2022) to capture spatial and seasonal variation in DOM characteristics. Fluorescent optical properties were measured on filtered water samples to understand the chemical composition of DOM. Excitation-Emission Matrices (EEMs) were measured using a Horiba Aqualog spectrometer. DOM characteristics were quantified using both standard fluorescence and absorbance metrics as well as through parallel factor (PARAFAC) analysis. These data were collected as part of the Carbon in Urban Rivers Biogeochemistry (CURB) Project. Detailed field data and site data are published separately and can be linked using the “curbid” and “synoptic_event” columns in each dataset.
Field data for seasonal synoptic sampling of 93 urban streams in Atlanta, Georgia (USA), 2021-2022
This dataset contains field measurements taken during water sampling from 93 first- to fifth-order streams in the Altamaha, Chattahoochee, and Flint Watersheds draining a gradient of urban land use in the greater Atlanta, Georgia metropolitan area. Field collection took place during four synoptic sampling events(September 2021, December 2021, March 2022, and July 2022) to capture spatial and seasonal variation in stream conditions (specific conductivity, water temperature, dissolved oxygen, pH, ORP). Filtered stream samples were analyzed for dissolved organic carbon concentration and characteristics, available in separate datasets. These data were collected as part of the Carbon in Urban Rivers Biogeochemistry (CURB) Project. Detailed field data and site data are published separately and can be linked using the “curbid” and “synoptic_event” columns in each dataset.
Coweeta LTER Synoptic Data from 49 sampling sites in the Upper Little Tennessee River Basin from 2009 to 2010 (Chemistry Data)
Coweeta LTER researchers sampled fifty-eight stream sites in the Upper Little Tennessee River Basin in February and June of 2009. Sites were selected to represent the range of land cover and land use within the basin. This datasets includes stream chemistry data from both the winter and summer sampling events. A whitepaper on the Synoptic field sampling activites can be found at: http://coweeta.uga.edu/publications/white%20paper%20summary%20of%20synoptic%20sampling.pdf
Coweeta LTER Synoptic Data from 56 sampling sites located in the Upper Little Tennessee River Basin from 2009 (geomorphological)
Coweeta LTER researchers sampled fifty-eight stream sites in the Upper Little Tennessee River Basin in February and June of 2009. Sites were selected to represent the range of land cover and land use within the basin. Samples were taken over three days of stable weather and discharge during periods of baseflow. They were used to characterize conditions across the basin during the growing and the non-growing seasons without the influence of elevated discharge. Each entity represents a table found in the downloadable relational database. NOTE: There is only 1 database to download regardless of which entity you choose. A whitepaper on the Synoptic field sampling activites can be found at: http://coweeta.uga.edu/publications/white%20paper%20summary%20of%20synoptic%20sampling.pdf
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.