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86 results for “Marsh Creek”
Atmospheric pressure on Hog Island, Phillips Creek Marsh and Oyster, VA 2012-2025
Barometric pressure is measured hourly at meteorological stations on the Atlantic Coast of the Delmarva Peninsula. Data is available as a long table that gives the average, minimum and maximum air pressure for each station at each time, or as a table that gives the average values for each of the stations, along with the median value across stations on each line.
Fall 2005 crab population monitoring: mid-marsh and creek bank abundance based on crab hole counts at GCE marsh, monitoring sites 1-9
This data set is the Fall 2005 estimate of crab densities at the GCE-LTER marsh sites used for population monitoring. Crab abundance was determined by counting the number of crab holes within a 625 cm^2 quadrat and converting the counts to number per square meter. Counts were made in the mid-marsh and creek bank zones (n = 4 per zone) at GCE sites 1 through 9. Site 10 was not sampled (see anomalies below). This method does not differentiate which species made a particular hole and therefore only estimates total crab abundance. Plugged holes were excluded from the counts. Mean density across all sites and zones was 226 m^-2 (+/- 181 s.d.)
Fall 2006 crab population monitoring: mid-marsh and creek bank abundance based on crab hole counts at GCE marsh, monitoring sites 1-10
This data set is the Fall 2006 estimate of crab densities at the GCE-LTER marsh sites used for population monitoring. Crab abundance was determined by counting the number of crab holes within a 625 cm^2 quadrat and converting the counts to number per square meter. Counts were made in the mid-marsh and creek bank zones (n = 4 per zone) at GCE sites 1 through 10. This method does not differentiate which species made a particular hole and therefore only estimates total crab abundance. Plugged holes were excluded from the counts. Mean density across all sites and zones was 342 m^-2 (+/- 355 s.d.).
Fall 2007 crab population monitoring: mid-marsh and creek bank abundance based on crab hole counts at GCE marsh, monitoring sites 1-10
This data set is the Fall 2007 estimate of crab densities at the GCE-LTER marsh sites used for population monitoring. Crab abundance was determined by counting the number of crab holes within a 625 cm^2 quadrat and converting the counts to number per square meter. Counts were made in the mid-marsh and creek bank zones (n = 4 per zone) at GCE sites 1 through 10. This method does not differentiate which species made a particular hole and therefore only estimates total crab abundance. Plugged holes were excluded from the counts. Mean density across all sites and zones was 284 m^-2 (+/- 286 s.d.).
Fall 2008 crab population monitoring: mid-marsh and creek bank abundance based on crab hole counts at GCE marsh, monitoring sites 1-10
This data set is the Fall 2008 estimate of crab densities at the GCE-LTER marsh sites used for population monitoring. Crab abundance was determined by counting the number of crab holes within a 625 cm^2 quadrat and converting the counts to number per square meter. Counts were made in the mid-marsh and creek bank zones (n = 4 per zone) at GCE sites 1 through 10. This method does not differentiate which species made a particular hole and therefore only estimates total crab abundance. Plugged holes were excluded from the counts. Mean density across all sites and zones was 122 m^-2 (+/- 149 s.d.).
Fall 2009 crab population monitoring: mid-marsh and creek bank abundance based on crab hole counts at GCE marsh, monitoring sites 1-10
This data set is the Fall 2009 estimate of crab densities at the GCE-LTER marsh sites used for population monitoring. Crab abundance was determined by counting the number of crab holes within a 625 cm^2 quadrat and converting the counts to number per square meter. Counts were made in the mid-marsh and creek bank zones (n = 4 per zone) at GCE sites 1 through 10. This method does not differentiate which species made a particular hole and therefore only estimates total crab abundance. Plugged holes were excluded from the counts.
Fall 2010 crab population monitoring: mid-marsh and creek bank abundance based on crab hole counts at GCE marsh, monitoring sites 1-10
This data set is the Fall 2010 estimate of crab densities at the GCE-LTER marsh sites used for population monitoring. Crab abundance was determined by counting the number of crab holes within a 625 cm^2 quadrat and converting the counts to number per square meter. Counts were made in the mid-marsh and creek bank zones (n = 4 per zone) at GCE sites 1 through 10. This method does not differentiate which species made a particular hole and therefore only estimates total crab abundance. Plugged holes were excluded from the counts.
Fall 2011 crab population monitoring: mid-marsh and creek bank abundance based on crab hole counts at GCE marsh, monitoring sites 1-10
This data set is the Fall 2011 estimate of crab densities at the GCE-LTER marsh sites used for population monitoring. Crab abundance was determined by counting the number of crab holes within a 625 cm^2 quadrat and converting the counts to number per square meter. Counts were made in the mid-marsh and creek bank zones (n = 4 per zone) at GCE sites 1 through 10. This method does not differentiate which species made a particular hole and therefore only estimates total crab abundance. Plugged holes were excluded from the counts.
LIDAR data of the Duplin River and Blackbeard creek salt marshes
LIDAR (light detection and ranging) data were acquired on March 9-10, 2009 by the National Center for Airborne Laser Mapping (NCALM) for the Duplin River (35 km2) and Blackbeard Creek (19 km2) salt marshes. The deliverables provided by NCALM included the raw LAS point clouds and acii text files.
LIDAR data of the Duplin River and Blackbeard creek salt marshes
LIDAR (light detection and ranging) data were acquired on March 9-10, 2009 by the National Center for Airborne Laser Mapping (NCALM) for the Duplin River (35 km2) and Blackbeard Creek (19 km2) salt marshes. The deliverables provided by NCALM included the raw LAS point clouds and 1 m spatial resolution gridded digital elevation models (DEMs).
Fall 2012 crab population monitoring: mid-marsh and creek bank abundance based on crab hole counts at GCE marsh, monitoring sites 1-10
This data set is the Fall 2012 estimate of crab densities at the GCE-LTER marsh sites used for population monitoring. Crab abundance was determined by counting the number of crab holes within a 625 cm^2 quadrat and converting the counts to number per square meter. Counts were made in the mid-marsh and creek bank zones (n = 4 per zone) at GCE sites 1 through 10. This method does not differentiate which species made a particular hole and therefore only estimates total crab abundance. Plugged holes were excluded from the counts.
Fall 2013 crab population monitoring: mid-marsh and creek bank abundance based on crab hole counts at GCE marsh, monitoring sites 1-10
This data set is the Fall 2013 estimate of crab densities at the GCE-LTER marsh sites used for population monitoring. Crab abundance was determined by counting the number of crab holes within a 625 cm^2 quadrat and converting the counts to number per square meter. Counts were made in the mid-marsh and creek bank zones (n = 4 per zone) at GCE sites 1 through 10. This method does not differentiate which species made a particular hole and therefore only estimates total crab abundance. Plugged holes were excluded from the counts.
Fall 2014 crab population monitoring: mid-marsh and creek bank abundance based on crab hole counts at GCE marsh, monitoring sites 1-10
This data set is the Fall 2014 estimate of crab densities at the GCE-LTER marsh sites used for population monitoring. Crab abundance was determined by counting the number of crab holes within a 625 cm^2 quadrat and converting the counts to number per square meter. Counts were made in the mid-marsh and creek bank zones (n = 4 per zone) at GCE sites 1 through 10. This method does not differentiate which species made a particular hole and therefore only estimates total crab abundance. Plugged holes were excluded from the counts.
PIE LTER study of marsh vegetation percent cover at Greenwood Creek, Ipswich, MA effluent enrichment and Clubhead Creek, Rowley, MA reference sites
Vegetation percent cover data along transects through a nutrient enriched marsh receiving wastewater effluent and a reference (unenriched) marsh. Nutrient enrichment comes from the Ipswich Wastewater Treatment Facility on Greenwood Creek in Ipswich. The marsh around Clubhead Creek, Rowley, MA was used as a reference.
PIE LTER, geographic information for the transects that were set up to study the impacts on the salt marsh vegetation of nutrient enrichment from the Ipswich Wastewater Treatment Facility on Greenwood Creek in Ipswich, MA.
A description of the transects that were set up to study the impacts on the salt marsh vegetation of nutrient enrichment from the Ipswich Wastewater Treatment Facility on Greenwood Creek in Ipswich, MA, USA. The marsh around Clubhead Creek, Rolwey, MA, USA was used as a reference.
PIE LTER eddy flux measurements during 2015 from second high marsh site (Spartina patens/short Spartina alterniflora) Tall Tower off Nelson Island Creek, Rowley, Massachusetts
We deployed an eddy covariance system to measure ecosystem-atmosphere exchange of CO2 above a high marsh system (Spartina patens, short Spartina alterniflora) located on the Parker River Wildlife Refuge in marshes of Plum Island Sound, Rowley MA. The system is located near a higher elevation rock outcropping protected area which allows the tower set up to remain during the Winter as it is protected from ice flows. The data represents CO2 exchange for all 12 months of 2015.
PIE LTER Eddy flux measurements during 2016 from second high marsh site (Spartina patens/short Spartina alterniflora) Tall Tower off Nelson Island Creek, Rowley, Massachusetts
We deployed an eddy covariance system to measure ecosystem-atmosphere exchange of CO2 above a high marsh system (Spartina patens, short Spartina alterniflora) located on the Parker River Wildlife Refuge in marshes of Plum Island Sound, Rowley MA. The system is located near a higher elevation rock outcroppingprotected area which allows the tower set up to remain during the Winter as it is protected from ice flows. The data represents CO2 exchange for all 12 months of 2016.
PIE LTER Eddy flux measurements during 2017 from second high marsh site (Spartina patens/short Spartina alterniflora) Tall Tower off Nelson Island Creek, Rowley, Massachusetts
We deployed an eddy covariance system to measure ecosystem-atmosphere exchange of CO2 above a high marsh system (Spartina patens, short Spartina alterniflora) located on the Parker River Wildlife Refuge in marshes of Plum Island Sound, Rowley MA. The system is located near a higher elevation rock outcroppingprotected area which allows the tower set up to remain during the Winter as it is protected from ice flows. The data represents CO2 exchange for all 12 months of 2017.
Demographics of high marsh consumers from Breder trap transect collections in tidal creeks associated with long term fertilization experiments, Rowley, MA
At PIE, mummichog (Fundulus heteroclitus) use the spring-cycle high tides to access the flooded high marsh platform and eat invertebrate prey, coupling the high marsh and aquatic creek food webs by gathering energy produced on the high marsh and making it available to the aquatic food web. Changes in the geomorphology of saltmarsh creek edges greatly influence the survival, biomass, and resource use of mummichog populations. Here, we capture animals using Breder traps to quantify the communities accessing the high marsh at night during one of these high tides in July 2018 across 3 PIE creeks known to present different geomorphologic patterns in their low marsh zones. These data can be used for the assessment of the impact of low marsh geomorphology on consumer communities in PIE marshes. Mummichog captured in these Breder traps were further analyzed for gut content (LTE-TIDE-BrederTrap-GutContents). These data were included in part of the study “Habitat decoupling via saltmarsh creek geomorphology alters connection between spatially-coupled food webs” (Lesser et al. 2020) and were a portion of an MBL REU project.
Invert species counts and density along transects on the high marsh along Rowley River tidal creeks associated with long term fertilization experiments, Rowley, MA.
At PIE, mummichog (Fundulus heteroclitus) use the spring-cycle high tides to access the flooded high marsh platform and consume invertebrate prey. Invertebrate surveys were conducted before and after spring tides that flooded the high marsh area to determine the effect of mummichog predation that occurs on the high marsh during the flood events and to assess the impact of low marsh geomorphology on top-down control by mummichog. These data were included in part of the study "Cross-habitat access modifies the ‘trophic relay’ in New England saltmarsh ecosystems” (Lesser et al. 2021) as well as a part of a NEU Three Seas Master's thesis.
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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.