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Dataset results
429 results for “December”
Ecosystem metabolism estimates from Lake Sunapee, NH, USA and meteorological driver data at the Newport, NH, USA NOAA NCDC weather station from August 2007 – December 2008
In August 2007, the Lake Sunapee Protective Association (LSPA) deployed a buoy in Lake Sunapee, NH with a meteorological station, dissolved oxygen sensor at 1 m, and a string of thermistor water temperature sensors collecting data every 10 minutes. For this dataset, the Lake Sunapee buoy was located at a location near Loon Island all year (August 2007–December 2008) including during the winter. We used high-frequency dissolved oxygen, photosynthetically active radiation (PAR), wind speed, and water temperature profile data to estimate daily rates of gross primary production, respiration, and net ecosystem production as metrics of ecosystem metabolism and carbon cycling. This dataset included under-ice data, and we compared seasonal changes in ecosystem metabolism rates for an entire lake year from the start of fall mixing in 2007 through the end of summer stratification in 2008. Under-ice and mixing periods are infrequently sampled due to logistical challenges and assumptions of low biological activity, resulting in limited understanding of the contribution of winter epilimnetic metabolism to annual carbon cycling. Using a continuous year of high-frequency dissolved oxygen data, we found that on average, under-ice net ecosystem production (NEP) was negative, in contrast to positive NEP for the spring and summer periods. Importantly, under-ice respiration was 1.2 times higher than summer respiration. Gross primary production was low but not absent under ice and increased during the last under-ice phase. Including winter metabolism estimates flipped annual NEP from autotrophy to heterotrophy, highlighting the importance of estimating metabolism year-round. Our methods for the data analysis are described in Brentrup et al. (accepted at Inland Waters) and were similar to Richardson et al. (2016) with some modifications described in the methods. This dataset also includes derived thermocline depth calculations from the water temperature thermistor data on the Lake Sunape
Water Quality Data (Porewater) from the Taylor Slough, Everglades National Park (FCE), South Florida from September 1999 to December 2006
Porewater samples are collected at SRS1b,SRS2,SRS3, TS/Ph-1-5, 6b within the 1 m^ aboveground sawgrass nondestructive biomass plots. Airstones connected to Tygon tubing are inserted 10-15 cm below the soil surface. Biannually during the wet season, Monoject 140cc syringes are used to collect at least 80 mL of porewater sample and after collection they are immediately placed in an ice filled cooler. The lab processing of these samples include salinity measurements using a refractometer, and filtering the sample through a Whatman GF/F filter. Samples are analyzed for inorganic nutrients such as NO2-,NO3-,NH4+,SRP, and DOC. Dissolved nutrients are measured using standard rapid flow analyzer (RFA) techniques and DOC is quantified on a Shimadzu TOC Analyzer.
Sawgrass above ground biomass from the Taylor Slough, just outside Everglades National Park (FCE), South Florida from October 1997 to December 2006
Sawgrass biomass is measured for TS/Ph-1, 2, 3, & 6 since 1999; TS/Ph-4 & 5 since 1997 to 2006; SRS-1b, 2, & 3 since 2000; SRS1c for 2005 to 2006, and SRS1d since 2006. Three 1 m2 plots are placed on each site. The sites are measured every two months. The number of sawgrass plants is counted for each 1 m2 plot and one third or a minimum of fifteen plants is measured. For each measured plant, measurements of the total number of live leaves, length of the live leaves, and culm diameter at the base are taken. From these measurements we calculate the average leaf length, and the sum of the length of the leaves. We created a model for biomass using a stepwise regression to see which of the variables measured and calculated are more correlated to explain plant biomass. Obtaining the mean biomass for the plants within the plot and multiplying it by the number of plants counted in the plot calculates biomass for each plot. The total biomass for each plot is summed with the other two plots in the same site, and they are averaged to obtain one biomass number per site. To validate our model, plant clippings are obtained in which four plants are clipped (small, medium, large, inflorescence) from each site. The same measurements are applied to the clipped plants as those applied to the measured plants in the plots. The plant clippings are oven dried at 70 degrees C and weighed.
Precipitation from the Taylor Slough, just outside Everglades National Park (FCE), South Florida from August 2000 to December 2006
Rain level is recorded at least every thirty minutes at TS/Ph4 and TS/Ph5 (data since 2000). Rain level data are collected using ISCO rain level gages attached to ISCO autosamplers, which also act as dataloggers. We condense these data into daily cumulative rainfall, although hourly rain level data are also available.
Water Levels from the Taylor Slough, just outside the Everglades National Park (FCE), South Florida from October 1997 to December 2006
Water level is recorded at least hourly at TS/Ph4 and TS/Ph5. Water level is measured with acoustic water level gages that digitally record relative water height relative to the local soil surface.
Long-Term Slough Crayfish (Procambarus fallax) Densities in the Florida Everglades from Throw Trap Sampling, Florida, USA, February 1996-December 2016
Densities of slough crayfish (Procambarus fallax) were collected throughout the Florida Everglades using 1-m2 throw-trapping samples from 1996–2016. Data were collected in four distinct regions within the Everglades (Shark River Slough, Taylor Slough, Water Conservation Area 3A and 3B) and during five seasonal periods each year. Each region consists of a series of sites, and each site consists of 3–5 sampling plots. The plot scale defines the unique sampling unit in the study, and 5–7 replicate throws were conducted at each plot. Corresponding hydrologic data were collected in conjunction with crayfish observations. These data describe antecedent average water depths, along with the duration of previous wet and dry conditions. Antecedent conditions were calculated by using both in situ measurements, as well as model output from the Everglades Depth Estimation Network (EDEN). Additional hydrologic data are provided in the LD_0 dataset, which describes daily depths measurements at sampling plots, as well as the length of antecedent complete drying events (LD_0). The length of antecedent dry conditions is assessed in R script FCE1267_01_LD_Depths, while the crayfish modeling code is described in FCE1267_02_Modeling_Code.
Soil accretion at 10 GCE marsh sampling sites from December 2001 to May 2011
The accretion of soil was measured in tidal marshes at 10 GCE-LTER sampling sites from December 2001 to May 2005. Feldspar marker layers were deposited in 0.25m by 0.25m quadrats in the marsh plain at each site in December 2001, then replicate soil cores were removed at approximately 6 month intervals to measure accretion above the marker layer. This study is part of the GCE sediment monitoring program, and was conducted to evaluate the effects of freshwater input on soil accretion.
June - December 2009 RTK survey of salt marsh plant ground elevations to assess the accuracy of a LIDAR-derived digital elevation model.
Real time kinematic (RTK) GPS survey of ground elevations for six plant species (Spartina alterniflora, Juncus roemerianus, Batis maritima, Distichlis spicata, Salicornia virginica and Borrichia frutescens) and two non-vegetated cover classes (salt pan and intertidal mud) was carried out from June to December 2009 to assess the accuracy of a LIDAR-derived digital elevation model. In total, 1389 ground control points (GCP) were collected for the Duplin River (Sapelo Island) and Blackbeard Creek (Blackbeard Island) salt marshes.
Video footage of December 2018 rain event at Lake Fryxell Camp, McMurdo Dry Valleys, Antarctica
This data package consists of video footage of a rare rain event that occurred in the Fryxell and Hoare Basins of Taylor Valley, located in the McMurdo Dry Valleys region of Antarctica, on December 21, 2018. Footage was captured at 0600 NZDT at Lake Fryxell camp by Laura Smarrito, a Leidos contract carpenter. Permission was granted to publish this footage for the purposes of obtaining a DOI to properly cite this occurence in a scientific manuscript under revision by JE Barrett et al. Please properly cite this data package according to the suggested citation format anytime this footage is referenced and/or used.
Marsh water table height, logging data from the Railroad site on the Parker River for April-December 2006.
Measurements of water table height in the Parker River marsh located downstream of the railroad bridge. Measurements were taken every 10 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the railroad site, MAR-PR-Wtable-RR, for April - December 2006.
Marsh water table height, logging data from the Typha site on the upper Parker River for April-December 2006.
Measurements of water table height in the upper Parker River Typha sp. marsh. Measurements were taken every 10 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the Typha site, MAR-PR-Wtable-T, for April - December 2006.
Marsh water table height, logging data from the railroad Spartina marsh site on the Parker River for April-December 2007.
Measurements of water table height in the Parker River marsh located downstream of the railroad bridge. Measurements were taken every 10 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the railroad site, MAR-PR-Wtable-RR, for April - December 2007.
Marsh water table height, logging data from the Typha marsh site on the upper Parker River for October-December 2008.
Measurements of water table height in the upper Parker River Typha sp. marsh. Measurements were taken every 5 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the Typha site, MAR-PR-Wtable-T, for October-December 2008.
Marsh water table height, logging data from the railroad Spartina marsh site on the Parker River for October-December 2008.
Measurements of water table height in the Parker River marsh located downstream of the railroad bridge. Measurements were taken every 5 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the railroad site, MAR-PR-Wtable-RR, for October-December 2008.
Marsh water table height, logging data from the Railroad site on the Parker River for June-December 2003.
Measurements of water table height in the Parker River marsh located downstream of the railroad bridge. Measurements were taken every 10 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the railroad site, MAR-PR-Wtable-RR, for June -December 2003.
Marsh water table height, logging data from the railroad Spartina marsh site on the Parker River for September-December 2001
Measurements of water table height in the Parker River marsh located downstream of the railroad bridge. Measurements were taken every 4 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the railroad site, MAR-PR-Wtable-RR, for September-December 2001.
Marsh water table height, logging data from the Railroad site on the Parker River for September-December 2002
Measurements of water table height in the Parker River marsh located downstream of the railroad bridge. Measurements were taken every 4 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the railroad site, MAR-PR-Wtable-RR, for September-December 2002.
Marsh water table height, logging data from the Typha site on the upper Parker River for June-December 2003
Measurements of water table height in the upper Parker River Typha sp. marsh. Measurements were taken every 10 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the Typha site, MAR-PR-Wtable-T, for June - December 2003.
Marsh water table height, logging data from the Typha site on the upper Parker River for September-December 2002
Measurements of water table height in the upper Parker River Typha sp. marsh. Measurements were taken every 4 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the Typha site, MAR-PR-Wtable-T, September - December 2002.
PIE LTER nutrient grab samples collected between December 1998 and July 2017 in the mainstem, tributaries, and headwater streams in the Ipswich and Parker River watersheds, Massachusetts.
Data set of Ipswich and Parker Rivers and tributaries in Massachusetts collected between December 1998 and July 2017 by MBL, UNH and/or members of the Ipswich and Parker River watershed associations. The data is primarily nutrient content of the streams, but there are some physical descriptors (i.e. discharge, temperature, dissolved oxygen) for some dates and sites. Site description file for all stations sampled in WAT-UNH-IPPR-Synoptic file can be found in WAT-UNH-IPPR-Synoptic-Sites file.
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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.