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3,145 results for “Well Being”
I8 Inlet well #3 depth in summer 2011
Data on sensor depth gathered from I8In Well 3 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season.
I8 Inlet well #2 depth in summer 2011
Data on sensor depth gathered from I8In Well 2 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season.
I8 Inlet well #1 depth in summer 2011
Data on sensor depth gathered from I8In Well 1 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season.
I8 Inlet well #8 depth in summer 2011
Data on sensor depth gathered from I8In Well 8 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season.
I8 Inlet well #7 depth in summer 2011
Data on sensor depth gathered from I8In Well 7 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season.
I8 Inlet well #5 depth in summer 2011
Data on sensor depth gathered from I8In Well 5 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season.
I8 Inlet well #6 depth in summer 2011
Data on sensor depth gathered from I8In Well 6 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season.
Peat Inlet well #1 depth in summer 2011
Data on sensor depth gathered from PIn Well 1 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season.
Peat Inlet well #2 depth in summer 2011
Data on sensor depth gathered from PIn Well 2 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season.
Peat Inlet well #3 depth in summer 2011
Data on sensor depth gathered from PIn Well 3 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season.
Peat Inlet well #4 depth in summer 2011
Data on sensor depth gathered from PIn Well 4 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season.
Peat Inlet well #5 depth in summer 2011
Data on sensor depth gathered from I8In Well 5 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season.
Peat Inlet well #6 depth in summer 2011
Data on sensor depth gathered from PIn Well 6 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season.
Peat Inlet well #7 depth in summer 2011
Data on sensor depth gathered from Pin Well 7 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season.
Peat Inlet well #8 depth in summer 2011
Data on sensor depth gathered from PIn Well 8 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season.
Groundwater Well Data from the Middle Rio Grande Valley Riparian Zone, New Mexico (1999-2014)
This study originated with the objective of parameterizing riparian evapotranspiration (ET) in the water budget of the middle Rio Grande of New Mexico. We hypothesized that flooding and invasions of non-native species would impact the ecosystem's use of water. Our objectives were to measure and compare the ET of native (Rio Grande cottonwood, Populus deltoides ssp. wizleni) and non-native (saltcedar, Tamarix chinensis, Russian olive, Eleagnus angustifolia) bosque (woodland) communities and to evaluate how water use is affected by climatic variability resulting in high river flows and flooding as well as drought conditions and deep water tables. This data set contains water table levels monitored at nine sites along the Rio Grande riparian corridor between Albuquerque and Bosque del Apache National Wildlife Refuge. Data date to 1999. Two sites remain active and are well into their second decade of monitoring. One is in a xero-riparian, non-flooding, saltcedar woodland within the Sevilleta National Wildlife Refuge. The other is in a dense, monotypic saltcedar thicket at the Bosque del Apache NWR that is subject to flood pulses associated with high river flows.
Deep Well transect plant-soil feedback experiment extrapolated biomass data (2014-2016)
This project was conducted from July 2014 to July 2016 to measure plant-soil feedbacks between black grama (Bouteloua eriopoda) and blue grama (Bouteloua gracilis) in patches of different historical stability along the Deep Well transect at the Sevilleta LTER.
Deep Well Burn Line-Intercept Vegetation Transects at the Sevilleta National Wildlife Refuge, New Mexico (1995-2009)
A natural burn occurred in the Deep Well area of McKenzie Flats in June, 1995, following which studies were initiated to evaluate the effect of fire on plant species composition and the spatial and temporal dynamics of regrowth. The burn area was approximately 24 hectares, forming a swath about 200 m wide from the initial lightning-ignition source. The fire moved in a westward direction from the ignition point, leaving a relatively straight border along the southern boundary and an irregular edge along the northern boundary. The fire was extinguished naturally.One week after the burn, four 100 m line-intercept transects were established along the southern boundary of the burn. Transects were installed perpendicular to the burn, so that 50 m lay inside the burned area and 50 m outside, in unburned grassland. The first transect (nearest the road) was placed 100 m from the west end of the burn and identified as Transect A. The remaining transects (B,C,D) were located at 200 m intervals from Transect A. Rebar was placed at 0 m, 50 m, and 100 m and these points recorded with a GPS unit. Initial measurements were made in October, 1995. In subsequent years, measurements have been made in late May and late September to evaluate the response of "cool season" and "warm season" plant species. Another fire occurred on June 24, 2001. This burn only affected the unburned southern end of one transect. A prescribed burn in 2003 did not affect the transects.
Groundwater Wells on Metompkin and Smith Islands, VA 2012-2014
Shallow groundwater wells are used to monitor levels of groundwater on barrier islands off the Atlantic Coast of the Delmarva Peninsula. Levels are monitored every 12-minutes.
Ground water wells in the Eastern Shore of Virginia National Wildlife Refuge, 2014-2015
Two wells were established along a transect from salt marsh into pine forest. The lower well (Location: ESVNWR_LOW, WELLID: Lower) is located just inside the forest while the upper well (Location: ESVNWR_UPP, WELLID: Upper) is further in the forest along a line where saplings are currently growing. Below that elevation few saplings survive. Note the UPPER and LOWER well locations after January 7, 2015 are at different locations than in 2014. The 2015 Lower well is at (37.124668,-75.966567) and the 2015 Upper well is at (37.1247505,-75.9663644). Each well is drilled to a depth of approximately 1.5 meters. SWS CTD-Diver sensors are hung by a line in the well and collect temperature, specific conductivity and water head (water table elevation) data once every hour. The dataset spans January 07, 2014 to January 14, 2016.
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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.