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672 results for “August”
Water Quality Data (Grab Samples) from the Taylor Slough, just outside Everglades National Park (FCE), for August 1998 to November 2006
Water quality samples are being collected using ISCO autosamplers at all wetland sites (that is, all sites except TS/Ph-9, 10, and 11). The autosamplers contain 24 1L bottles. Water is sampled by programming the autosamplers to take composite samples once every 3 days. These samples are a composite of four 250mL subsamples drawn every 18 hours (a sampling scheme that captures a dawn, noon, dusk, and midnight sample in every three day composite). The samples are collected every 3-4 weeks and analyzed for total phosphorus (TP), total nitrogen (TN), and salinity. When sites are visited to collect these samples, we also collect a grab sample that is immediately put on ice. A portion of these grab samples is filtered through a Whatman GF/F filter immediately upon return to the lab, and the filtered samples are analyzed for inorganic nutrients such as NO2-, NO3-, NH4+, SRP, and DOC. The unfiltered fraction of these grab samples is analyzed for TP, TN, and TOC. We use these montly grab samples to generate relationships between TP and SRP, and between TN and NO2- + NO3- + NH4+. Dissolved nutrients are measured using standard rapid flow analyzer (RFA) techniques. TP is analyzed with a modified Solorzano and Sharp (1980) technique. TN is measured with an Antec TN analyzer, TOC and DOC are quantified on a Shimadzu TOC Analyzer, and salinity is measured with a YSI conductivity meter. In addition to the regular water quality monitoring, we use the rain level actuators at all freshwater sites to trigger water sampling after rain events exceed a given threshold of duration and/or intensity. As currently programmed, when the threshold of = 2.5 cm of rain per hour is passed, the autosampler at that site collects a 1L sample every 15 minutes after the threshold has been reached and remains (previous to 2003- the autosampler was programmed to collect 500mL of water every 30 minutes while the threshold was being met). Rain event samples are collected, retrieved, and analyzed like out c
Sediment elevation measurements from the GCE LTER Seawater Addition Long-Term Experiment (SALTEx) sampling sites from July 2013 to August 2022
SALTEx (Seawater Addition Long-Term Experiment) is a field experiment designed to simulate saltwater intrusion in a tidal freshwater wetland to predict how chronic (Press) and acute (Pulse) salinization will affect this and other tidal freshwater ecosystems. The SALTEx experiment was initiated in 2012 and consists of 31 field plots, each 2.5 m on a side. There are three treatments (Press, Pulse, and Fresh) and two types of controls (with and without sides), each consisting of six replicates. The Press treatment plots receive regular (4 times each week) additions of a mixture of seawater and fresh river water. Pulse plots receive the same mixture of seawater and river water during September and October, which is historically a time of low flow in the river when natural saltwater intrusion occurs. The Fresh treatment plots receive regular additions of fresh river water. Treatment water is added during low tide to facilitate its infiltration into the soil, and all plots are inundated by astronomical tides at high tide. We are measuring soil surface elevation tables (SETs) in the plots as one of the response variables for the SALTEx project.
Daten der Data Literacy Bedarfserhebung für die historisch arbeitenden Disziplinen (Erhebungszeitraum: August-Oktober 2023)
<p>Bei dieser Publikation handelt es sich um Daten aus der NFDI4Memory Data Literacy Bedarfserhebung, die von August bis Oktober 2023 durchgeführt wurde. Der Datensatz beinhaltet die Rohdaten, wie sie aus dem Fragebogentool SoSciSurvey heruntergeladen wurden und die aufbereiteten Daten, die die Grundlage für die Auswertung waren.</p> <p><strong>Rohdaten aus SoSciSurvey:</strong></p> <p>.xlsx-Format: </p> <ul> <li><a href="../api/records/12166939/draft/files/codebook_4memory-data-literacy_2024-06-19_11-28.xlsx/content" target="_blank" rel="noopener noreferrer">codebook_4memory-data-literacy_2024-06-19_11-28.xlsx</a></li> <li><a href="../api/records/12166939/draft/files/data_4memory-data-literacy_2024-06-19_11-28.xlsx/content" target="_blank" rel="noopener noreferrer">data_4memory-data-literacy_2024-06-19_11-28.xlsx</a></li> </ul> <p>.csv-Format:</p> <ul> <li><a href="../api/records/12166939/draft/files/data_4memory-data-literacy_2024-06-19_11-30.csv/content" target="_blank" rel="noopener noreferrer">data_4memory-data-literacy_2024-06-19_11-30.csv</a></li> <li><a href="../api/records/12166939/draft/files/variables_4memory-data-literacy_2024-06-19_11-30.csv/content" target="_blank" rel="noopener noreferrer">variables_4memory-data-literacy_2024-06-19_11-30.csv</a></li> <li><a href="../api/records/12166939/draft/files/rdata_4memory-data-literacy_2024-06-19_11-33.csv/content" target="_blank" rel="noopener">rdata_4memory-data-literacy_2024-06-19_11-33.csv</a></li> <li><a href="../api/records/12166939/draft/files/sdata_4memory-data-literacy_2024-06-19_11-32.csv/content" target="_blank" rel="noopener">sdata_4memory-data-literacy_2024-06-19_11-32.csv</a></li> <li><a href="../api/records/12166939/draft/files/values_4memory-data-literacy_2024-06-19_11-30.csv/content" target="_blank" rel="noopener noreferrer">values_4memory-data-literacy_2024-06-19_11-30.csv</a></li> <li><a href="../api/records/12166939/draft/files/Codebuch.csv/content" target="_blank" rel="noopener noreferrer">Codebuch.csv</a></li> <li><a href="../api/records/12166939/draft/files/Ausgangsdatensatz.csv/content" target="_blank" rel="noopener noreferrer">Ausgangsdatensatz.csv</a></li> </ul> <p>.sql-Format:</p> <ul> <li><a href="../api/records/12166939/draft/files/data_4memory-data-literacy_2024-06-19_11-33.sql/content" target="_blank" rel="noopener noreferrer">data_4memory-data-literacy_2024-06-19_11-33.sql</a></li> </ul> <p>.sps-Fromat:</p> <ul> <li><span><a href="../api/records/12200702/draft/files/spss_4memory-data-literacy_2024-06-19_11-31.sps/content" target="_blank" rel="noopener noreferrer">spss_4memory-data-literacy_2024-06-19_11-31.sps</a></span></li> </ul> <p><span>.do-Format:</span></p> <div> <ul> <li><a href="../api/records/12200702/draft/files/import_4memory-data-literacy_2024-06-19_11-32.do/content" target="_blank" rel="noopener noreferrer">import_4memory-data-literacy_2024-06-19_11-32.do</a></li> </ul> <p>.r-Format:</p> <div> <ul> <li><a href="../api/records/12200702/draft/files/import_4memory-data-literacy_2024-06-19_11-33.r/content" target="_blank" rel="noopener noreferrer">import_4memory-data-literacy_2024-06-19_11-33.r</a></li> </ul> </div> </div> <p><strong>Aufbereitete Daten:</strong></p> <p>.xlsx-Format:</p> <ul> <li><span><a href="../api/records/12200702/draft/files/2024-06-06-aufbereitete_Daten.xlsx/content" target="_blank" rel="noopener noreferrer">2024-06-06-aufbereitete_Daten.xlsx</a></span> (enthalten sind die Tabellenblätter Ausgangsdatensatz (unbearbeitet), Codebuch (unbearbeitet), überarbeiteter Datensatz und Zusatztabelle Fachbereich</li> </ul> <p>.csv-Format:</p> <ul> <li> <div><a href="../api/records/12166939/draft/files/Dokumentation.csv/content" target="_blank" rel="noopener noreferrer">Dokumentation.csv</a></div> </li> <li><a href="../api/records/12166939/draft/files/Zusatztabelle_Fachbereich.csv/content" target="_blank" rel="noopener noreferrer">Zusatztabelle_Fachbereich.csv</a></li> <li><span><a href="../api/records/12200702/draft/files/%C3%BCberarbeiteter%20Datensatz.csv/content" target="_blank" rel="noopener noreferrer">überarbeiteter Datensatz.csv</a></span></li> </ul>
Continuous stream CO2 and temperature data and sensor calibration grab samples from five NEON sites (CARI, COMO, KING, MART, WALK), August 2021-April 2024.
This package contains: 1) sensor-based measurements of dissolved CO2 concentration and temperature, and 2) dissolved CO2 concentration from grab samples that were used to calibrate the sensor data, collected at five stream sites in the NEON network (CARI- Caribou Creek, AK; COMO- Como Creek, CO; KING- Kings Creek, KS; MART- Martha Creek, WA; and WALK- Walker Branch, TN) between August 2021 - April 2024. The grab sample dataset contains a combination of samples collected by NEON (DP1.20097.001) and additional samples collected by project personnel. All samples were collected using the headspace equilibration method, and dissolved CO2 concentrations were calculated using the 'neonDissGas' R package (https://github.com/NEONScience/NEON-dissolved-gas). The sensor dataset contains CO2 concentrations measured with an eosGP CO2 gas probe, averaged to 15-minute intervals and corrected to align with grab sample concentrations using a site-specific grab versus sensor regression. Due to inaccuracies in the eosGP temperature data, we instead include the temperature data from NEON that was used to convert CO2 between units of ppmv and umol/L (DP1.20053.001 for CARI, KING, MART, and WALK, and data from the multiparameter sonde for COMO). All NEON data used in this data package references the RELEASE-2025 version of each data product (downloaded February 2025).
Mangrove Coast Collaborative Project, Post-hurricane Maria mangrove forest understory data, Jobos Bay NERR, March 2022 - August 2022
This dataset describes the structure and composition of the mangrove forest understory in Jobos Bay National Estuarine Research Reserve (NERR) assessed approximately 5 years after disturbance from Hurricane Maria (2017). The dataset includes information on the number of seedlings and saplings of each species as sampled in four 1 m2 quadrats in each 100 m2 structural sampling plot. The dataset also includes counts of the five tallest pneumatophores occurring in each quadrat. The height of pneumatophores was used as a proxy for the average maximum high water level in a plot. This dataset is associated with the Mangrove Coast Collaborative project (2020 - 2024).
Mangrove Coast Collaborative Project, Post-hurricane Maria mangrove forest structure data, Jobos Bay NERR, March 2022 - August 2022
The dataset describes the structure, composition, and condition of mangrove forests in Jobos Bay National Estuarine Research Reserve (NERR) assessed approximately 5 years after disturbance from Hurricane Maria (2017). The dataset includes information on each stem greater than or equal to 1 cm DBH (diameter at breast height) rooted within 64 100 m2 circular plots. Information collected includes site ID, location, species, DBH, status (live or dead), damage associated with the hurricane, presence/absence of regrowth, presence/absence of adventitious roots, whether or not stem is part of a multi-stemmed individual, and the canopy conditions (whether the stem has a leafed canopy or is only sprouting at the base if live). This dataset is associated with the Mangrove Coast Collaborative project (2020 - 2024).
Mangrove Coast Collaborative Project, Post-hurricane Maria mangrove forest coarse woody debris data, Jobos Bay NERR, March 2022 - August 2022
This dataset describes the quality and size of coarse woody debris (downed woody debris > 7.5 cm in diameter) for each mangrove forest plot in Jobos Bay National Estuarine Research Reserve (NERR) assessed approximately 5 years after disturbance from Hurricane Maria (2017). Data was collected along three 20 m transects beginning at each plot center point and heading toward a randomly-selected azimuth. This dataset is associated with the Mangrove Coast Collaborative project (2020 - 2024).
Mangrove Coast Collaborative Project, Post-hurricane Maria mangrove forest downed woody debris data, Jobos Bay NERR, March 2022 - August 2022
This dataset describes the quantity and size distribution of downed woody debris for each mangrove forest plot in Jobos Bay National Estuarine Research Reserve (NERR) assessed approximately 5 years after disturbance from Hurricane Maria (2017). Data was collected along three 20 m transects beginning at each plot center point and heading toward a randomly-selected azimuth. This dataset is associated with the Mangrove Coast Collaborative project (2020 - 2024).
Phytoplankton, benthic algae, and associated environmental data from Lake Okeechobee, Florida, USA, August 2023 - November 2023
This data package contains phytoplankton, periphytometer, and environmental data collected from the South Florida Water Management District’s (SFWMD) Aquifer Storage and Recovery (ASR) monitoring sites and the Indian Prairie marsh during the 2023 rainy season. We collected phytoplankton from a surface water grab and benthic algae from artificial substrates (periphytometers) that were placed outside for three weeks. We also collected associated nutrient measurements and environmental data. Collections occurred twice from August to November 2023. Data were collected to better understand how phytoplankton and benthic algae differed in their responses to TN:TP ratios in a hypereutrophic lake known to have spatial differences in limiting nutrients. Data collection for this data package is complete.
Tree Health Conditions (mortality, damage, disease, bark beetles) in Fuel Reduction Treatments Located Near Communities in Interior Alaska and the Cook Inlet Region of Alaska - Observations from July-August 2023
This dataset contains tree-, transect-, and site-level observations of forest stands at sites that received a fuel reduction treatment. Tree-level observations include species, diameter, living status, damage, disease, and bark beetle presence. Transect-level observations include level of coarse woody debris and bark beetle presence. Sites are categorized by region (recent/ongoing spruce beetle oubreak or endemic spruce beetle population levels) and treatment type (hand-thinned or mechanincally felled and masticated). These observations are from July-August 2023. Sites are located near communities in Interior Alaska and the Cook Inlet Region.
Composited land surface temperature of the greater Phoenix, Arizona, USA metropolitan area and surrounding Sonoran desert derived from cloud-free, summer (June, July, and August) Landsat imagery: 1985-2020
This project calculates land surface temperature (LST) from remotely sensed imagery. The intent is to extend the previous version of the LST data for the CAP LTER study area in central Arizona, USA to include 2020 and update the products so that they are based on a composite of images from each year (all available cloud-free acquisitions from June, July, and August) in the analysis to reduce the potential for outlier images or pixels to impact analyses. The aim is to make updated LST data accessible to stakeholders and researchers studying the greater Phoenix, Arizona, USA metropolitan area. LST is calculated from cloud-free Landsat 5 and 8 imagery (30m resolution) from summer months (June, July, and August) in 1985, 1990, 1995, 2000, 2005, 2010, 2015, and 2020. All images are cropped to the CAP LTER study area boundary.
Fine particulate matter (PM2.5) concentrations in downtown Phoenix, Arizona (USA) on August 20, 2024
This dataset contains a collection of estimated particulate matter (PM2.5) concentrations for downtown Phoenix, Arizona (USA), on a typical summer day (August 20, 2024) at three critical times of day (7 a.m., 1 p.m., and 5 p.m.). The 100-m resolution estimates were generated using a pre-trained support vector regression model. This dataset can inform public health interventions related to air quality.
Mean radiant temperature along a common route for people experiencing homelessness in downtown Phoenix, Arizona (USA) on August 20, 2024
This tabular dataset contains mean radiant temperature (Tmrt) measurements collected using MaRTy, a mobile biometeorological, along a route frequently traveled by people experiencing homelessness in downtown Phoenix, Arizona (USA). It includes Tmrt, air temperature (Tair), relative humidity (RH), wind speed, and wind direction at pedestrian height at 2-second intervals for a typical summer day (August 20, 2024; peak air temperature of 43.3 degrees Celsius) at 0700, 1300, and 1700 (local times). This dataset can inform heat mitigation strategies for vulnerable populations in Phoenix.
Sawgrass above ground biomass from the Taylor Slough, Everglades National Park (FCE LTER), Florida, USA, August 1999 - ongoing
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.
Water Depths and Water Temperatures near Soil Surface from Taylor Slough, Everglades National Park (FCE LTER), Florida, USA, August 1999 - ongoing
Water depth (from August 1999 to present) and water temperature (from May 2021 to present) are recorded hourly at TS/Ph1a, TS/Ph2 and TS/Ph3 and every 30 minutes at TS/Ph6a and TS/Ph7a. Water depth is measured with pressure water level loggers (Infinities USA or HOBO) that record water height relative to the local soil surface. Water temperature near soil surface is measured with HOBO loggers. Note by IM (2021): The water meters at some of the TS sites have been moved over the years as boardwalks have been reconstructed. There is no set survey datum for these sites, so it is impossible to correct the data to an actual datum. For hydrologic applications, it may be better to use water level data from USGS stations.
Physical and microbial processing of dissolved organic nitrogen (DON) (Salinity Experiment) along an oligotrophic marsh/mangrove/estuary ecotone (Taylor Slough and Florida Bay) for August 2003 in Everglades National Park (FCE), South Florida, USA
A better understanding of the biogeochemical cycling of nutrients entering Florida Bay is a key issue regarding the restoration of the Everglades. In addition to precipitation, the other major source of freshwater to Florida Bay is from Taylor Slough and the C-111 Basin in the northeast section of the Bay. While it is known that these areas deliver significant amounts of N to the Bay, a significant portion of this is in the form of dissolved organic N (DON). The sources, environmental fate and bioavailability to microorganisms of this DON are however, not known. Should this DON be readily available, any increased load as a function of restoration changes might have an impact on internal phytoplankton bloom dynamics. No significant flocculation or precipitation of DOM occurred with increase in salinity, meaning that terrestrial DOM does not get trapped in the sediments but stays in the water column where it subjected to photolysis and advective transport. Sunlight has a significant effect on the chemical characteristics of DOM. While the DOC levels did not change significantly during photo-exposure, the optical characteristics of the DOM were modified. The environmental implications of this are conflicting: photo-induced polymerization may stabilize the DOM by reducing its bioavailability while photolysis may make the DOM more labile. Overall, DON bioavailability was relatively low in this region. Even though the amount of DON loaded to the bay may be significant, the fraction of DON available for microbial cycling is much smaller. The amount of N supplied by recycling may be a significant portion of the total DIN pool. All this must be considered in context with the proposed CERP modifications to flows. As of the latest initial Comprehensive Everglades Restoration Project (CERP) update, the flows to Taylor Slough and C-111/Panhandle Basis are not predicted to change very much from base conditions. Therefore we do not expect any great increases in TN loading in this
Physical and microbial processing of dissolved organic nitrogen (DON) (Photodegradation Experiment) along an oligotrophic marsh/mangrove/estuary ecotone (Taylor Slough and Florida Bay) for August 2003 in Everglades National Park (FCE), South Florida, USA
A better understanding of the biogeochemical cycling of nutrients entering Florida Bay is a key issue regarding the restoration of the Everglades. In addition to precipitation, the other major source of freshwater to Florida Bay is from Taylor Slough and the C-111 Basin in the northeast section of the Bay. While it is known that these areas deliver significant amounts of N to the Bay, a significant portion of this is in the form of dissolved organic N (DON). The sources, environmental fate and bioavailability to microorganisms of this DON are however, not known. Should this DON be readily available, any increased load as a function of restoration changes might have an impact on internal phytoplankton bloom dynamics. No significant flocculation or precipitation of DOM occurred with increase in salinity, meaning that terrestrial DOM does not get trapped in the sediments but stays in the water column where it subjected to photolysis and advective transport. Sunlight has a significant effect on the chemical characteristics of DOM. While the DOC levels did not change significantly during photo-exposure, the optical characteristics of the DOM were modified. The environmental implications of this are conflicting: photo-induced polymerization may stabilize the DOM by reducing its bioavailability while photolysis may make the DOM more labile. Overall, DON bioavailability was relatively low in this region. Even though the amount of DON loaded to the bay may be significant, the fraction of DON available for microbial cycling is much smaller. The amount of N supplied by recycling may be a significant portion of the total DIN pool. All this must be considered in context with the proposed CERP modifications to flows. As of the latest initial Comprehensive Everglades Restoration Project (CERP) update, the flows to Taylor Slough and C-111/Panhandle Basis are not predicted to change very much from base conditions. Therefore we do not expect any great increases in TN loading in this
Physical and Chemical Characteristics of Soil Sediments from the Shark River Slough and Taylor Slough, Everglades National Park (FCE LTER), Florida, USA, August 2004 - ongoing
These data represent the results of annual soil sampling and analysis from all 17 FCE LTER transect locations from Year 2004 thru ongoing. Surface soils from 0-10 cm have been homogenized and analyzed from Sawgrass and mangrove sites and Florida Bay sites. Soils and sediments were analyzed for a suite of physical/chemical variables, including bulk density, organic matter content, extractable iron, AVS and CRS sulfur, and various forms of extractable phosphorus. These analyses are completed to document the differences in soil structure among transect sites, and to provide a baseline dataset against which long-term changes in the physical/chemical properties of the soils can be detected.
Meteorological measurements at Key Largo Ranger Station, South Florida (FCE) for July 2001 to August 2001
Basic radiation data, including Infra-red canopy temperatures, collected as 1 minute averages from a 5 m tower at Key Largo Ranger Station, South Florida, near Everglades National Park.
Mangrove leaf physiological response to local climate at Key Largo, Watson River Chickee, Taylor Slough, and Little Rabbit Key, South Florida (FCE) from July 2001 to August 2001
Determine the red mangrove leaf physiological response to the local climate to understand the local controls on plant physiology. Data were collected in the Key Largo Ranger Station, Watson River Chickee and Taylor Slough research Sites, South Florida.
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