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Florida Bay, South Florida (FCE) Seagrass Epiphyte Light Transmission from December 2000 to February 2002

Total epiphyte loads and epiphyte light transmissions were measured on Mylar seagrass leaf mimics located on Molasses Reef and the FCE Florida Bay research sites within Everglades National Park.

Periphyton Net Primary Productivity and Respiration Rates from the Taylor Slough, just outside Everglades National Park, South Florida (FCE) from December 1998 to August 2002

Once per year, at TS/Ph-4 and TS/Ph-5 we incubate periphyton from each site in water from each site in a complete factorial design. We quantify metabolic rates of periphyton assemblages using standard oxygen change techniques in 300mL light and dark BOD bottles in triplicate. Using YSI dissolved oxygen probes and meters, we measure dissolved oxygen change as the difference of initial and final oxygen concentrations over a two hour incubation. We calculate net primary productivity and respiration rates in units of oxygen and carbon, then normalize to the organic content (ash free dry weight) of the incubated periphyton.

Subsurface Water Temperatures taken in Shark River Slough and Taylor Slough, Everglades National Park (FCE LTER), Florida, USA, May 2010 - December 2015

At each site, two vertical columns of temperature sensors (107-L Temperature Probes, Campbell Scientific, Logan, Utah) were installed and connected to data loggers (CR1000 Dataloggers, Campbell Scientific, Logan, Utah). At each, one temperature sensor in a heat shield was installed 2 m above the ground surface. The remaining temperature sensors were installed at or below the ground surface, with the depths and depth intervals depending upon the total depth of the column. The data were collected hourly between May 19, 2010 and December 1, 2015.

openCC (other)Mar 2022View details →

Trophic transfer of Everglades marsh consumer biomass to Everglades Estuaries (FCE LTER), Everglades National Park, South Florida, USA, December 2010 to July 2013

We measured the trophic transfer of secondary consumer biomass from the Everglades marshes to the oligohaline reaches of the Shark River by sampling the diets of four common large bodied piscivorous fishes occurring at the marsh-estuary oligohaline ecotone. The four species sampled were Florida bass (Micropterus floridanus), bowfin (Amia calva), common snook (Centropomus undecimalis), and red drum (Sciaenops ocellatus). We sampled diets via pulsed gastric lavage, a relatively non-lethal and effective sampling technique used to measure trophic interactions. We quantified trophic transfer of marsh biomass to the estuary when a focal piscivore consumed a prey species that was likely a migrant from adjacent marshes. A more detailed description of these methods can be found in citation #28. In the presented data, we combined estimates of relative abundance of piscivores from standardized electrofishing techniques (# of piscivores/ 100 meters of sampled shoreline) with biomass of marsh species consumed in the estuary to calculate the biomass (g) transferred to the estuary per 100 meters of shoreline. These values serve as our index of how much biomass is being exported off of the marsh to the estuary through consumer mediated habitat linkages. An important key finding from this work is that disturbance, in particular drought, can sever this biomass linkage, and conserve biomass export off of karstic wetlands to estuaries through of marsh secondary consumer trophic pathways.

Biomarker assessment of spatial and temporal changes in the composition of flocculent material (floc) in the subtropical wetland of the Florida Coastal Everglades (FCE) from May 2007 to December 2009

Flocculent material (floc) is an important energy source in wetlands. In the Florida Everglades, floc is present in both freshwater marshes and coastal environments and plays a key role in food webs and nutrient cycling. However, not much is known about its environmental dynamics, in particular its biological sources and bio-reactivity. We analysed floc samples collected from different environments in the Florida Everglades and applied biomarkers and pigment chemotaxonomy to identify spatial and seasonal differences in organic matter sources. An attempt was made to link floc composition with algal and plant productivity. Spatial differences were observed between freshwater marsh and estuarine floc. Freshwater floc receives organic matter inputs from local periphyton mats, as indicated by microbial biomarkers and chlorophyll-a estimates. At the estuarine sites, the floc is dominated by mangrove as well as diatom inputs from the marine end-member. The hydroperiod (duration and depth of inundation) at the freshwater sites influences floc organic matter preservation, where the floc at the short-hydroperiod site is more oxidised likely due to periodic dry-down conditions. Seasonal differences in floc composition were not consistent and the few that were observed are likely linked to the primary productivity of the dominant biomass (periphyton in the freshwater marshes and mangroves in the estuarine zone). Molecular evidence for hydrological transport of floc material from the freshwater marshes to the coastal fringe was also observed. With the on-going restoration of the Florida Everglades, it is important to gain a better understanding of the biogeochemical dynamics of floc, including its sources, transformations and reactivity.

openCC (other)Dec 2022View details →

Sediment elevation measurements for 10 GCE-LTER sampling sites from December 2001 to December 2020

Soil surface elevation was measured in tidal marshes at 10 GCE-LTER sampling sites from December 2001 to December 2020 using a sediment elevation table method. The sites represent three estuaries of the Georgia coast (USA) that vary in delivery of freshwater and sediment. The study was conducted to evaluate the effects of freshwater input on marsh accretion and subsidence. In 2013, rod SETs were added at site 11 and installed to replace broken SETs at sites 7 and 9 (which broke in 2012).

openCC (other)Apr 2021View details →

Eddy covariance 30-minute CO2 fluxes with accompanying biophysical variables from the GCE-LTER flux tower site from December 2018 to January 2020

Eddy covariance (EC) CO2 fluxes from December 2018 to January 2020 collected over a Spartina alterniflora marsh located on the western side of Sapelo Island bounded by the Duplin River and Barn Creek. EC fluxes were processed in EddyPro 7. Additional biophysical variables included are air temperature, relative humidity, vapor pressure deficit, soil temperature, and water table height from a nearby tidal creek.

openCC (other)Oct 2024View details →

Soil biogeochemical measurements from the Antarctic Specially Protected Area No. 131 (ASPA 131), McMurdo Dry Valleys Antarctica, December 2022

These data include soil biological properties (16S ASV community sequences, invertebrate community counts, ash-free dry mass, pigment concentrations), physical properties (location, gravimetric soil moisture, pH, electrical conductivity, remote detection of soil moisture change), chemical properties (dissolved inorganic nitrogen, extractable sulfate ions, extractable Cl ions) from soils collected within the Antarctic Specially Protected Area No. 131 (ASPA-131) surrounding Canada Stream in the McMurdo Dry Valleys of Antarctica. Collection sites were associated with a warming event that occurred on March 22, 2022, and include the following remotely-sensed categories: V - validation sites representing arid soils with little soil moisture and minimal detectable change in liquid water, S - significant sites that had a significant increase in liquid water, and N - nonsignificant sites that had detectable moisture but did not experience a significant increase in liquid water. These data aid in our understanding of how landscape heterogeneity and hydroclimate variability influence soil biota communities sensitive to changes in liquid water availability in a polar desert.

openCC (other)Dec 2022View details →

Chloride Concentrations, Conductivity, and Water Temperature Data from Upper Yahara River Watershed Tributaries in Dane County, WI: December 2019 – April 2021

Conductivity and chloride were measured for 2 years in nine tributaries of Lake Mendota and Lake Monona in Dane County, WI. HOBO Conductivity loggers continuously measured absolute conductivity and water temperature every 30 minutes. Breaks in data collection were due to a calibration period or if the loggers were out of the water. Grab samples for chloride concentration occurred weekly or biweekly. Conductivity and water temperature were measured with a field meter at each sampling excursion. This data was needed for a master’s research thesis with the goal of characterizing the spatial distribution and loading of chloride in the Upper Yahara River Watershed.

opencc-by-4.0Jun 2020View details →

Scholarly journals publishing articles by family and community physicians in Brazil, up to December 2018

This is the dataset of manuscript titled "In which journals do family and community physicians in Brazil publish? The Trajetórias MFC project". There are two spreadsheets: the dataset proper and the data dictionary. See the manuscript for background. All spreadsheets are in the CSV (comma-separated values) format, delimited with semicolons and encoded in UTF-8 with the byte-order mark (BOM). The spreadsheets can be opened with desktop or Web application software (LibreOffice Calc, Microsoft Excel, Google Sheets) or with statistical software such as R. A <a href="https://zenodo.org/record/3905255">previous version</a> of this dataset was used in a <a href="https://doi.org/10.1101/19005744">preprint</a>. This version should be cited by an upcoming article. See also the <a href="https://doi.org/10.1136/fmch-2020-000321">article</a>, <a href="https://doi.org/10.5281/zenodo.3376310">dataset</a> and <a href="https://doi.org/10.5281/zenodo.3381576">supplementary table</a> for an earlier milestone, about the postgraduate education of family and community physicians in Brazil.

opencc-by-4.0Dec 2016View details →

SM2RAIN-CCI (1 Jan 1998 – 31 December 2015) global daily rainfall dataset

A NEW GLOBAL SCALE RAINFALL PRODUCT obtained from satellite soil moisture data through the SM2RAIN algorithm (Brocca et al., 2014), at 0.25 degree/daily spatial-temporal resolution, has been delivered (Ciabatta et al., 2018). The SM2RAIN method was applied to the ESA CCI soil moisture Active and Passive products (Liu et al., 2011, 2012; Wagner et al., 2012) for the period from January 1998 to December 2015 (18 years). The CCI-derived rainfall datasets (in mm/day) is gridded over a 0.25-degree grid on a global scale. The number of dates is 6574 (1998/01/01 – 2015/12/31). The product represents the cumulated rainfall between the 00:00 and the 23:59 UTC of the indicated day. A climatological correction has been applied to the data at monthly scale. The rainfall dataset is provided in netCDF format. A total of 18 netCDF files, one per year, are provided. The rainfall dataset is obtained by applying the SM2RAIN algorithm to the ESA CCI soil moisture Active and Passive products at version 03.1 separately. Then, an integration procedure based on a weighted average is applied in order to obtain the rainfall estimate. The algorithm has been calibrated during three different periods (1998-2001, 2002-2006 and 2007-2013) against the Global Precipitation Climatology Centre Full-Data daily dataset (GPCC-FDD, Schamm et al., 2015). The quality flag provided within the raw soil moisture observations has been used to mask out low quality data, as well as the areas characterized by high topographic complexity, high frozen soil and snow probability and presence of tropical forests. References Brocca, L., Ciabatta, L., Massari, C., Moramarco, T., Hahn, S., Hasenauer, S., Kidd, R., Dorigo, W., Wagner, W., Levizzani, V. (2014). Soil as a natural rain gauge: estimating global rainfall from satellite soil moisture data. Journal of Geophysical Research, 119(9), 5128-5141, doi:10.1002/2014JD021489. Ciabatta, L., Massari, C., Brocca, L., Gruber, A., Reimer, C., Hahn, S., Paulik, C., Dorigo, W., Kidd, R., and Wagner, W.: SM2RAIN-CCI: a new global long-term rainfall data set derived from ESA CCI soil moisture, Earth Syst. Sci. Data, 10, 267-280, https://doi.org/10.5194/essd-10-267-2018, 2018. Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436, doi:10.5194/hess-15-425-2011. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M., Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014. Schamm, K., Ziese, M., Raykova, K., Becker, A., Finger, P., Meyer-Christoffer, A., Schneider, U. (2015). GPCC Full Data Daily Version 1.0 at 1.0°: Daily Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data. DOI: 10.5676/DWD_GPCC/FD_D_V1_100. Wagner, W., Dorigo, W., de Jeu, R., Fernandez, D., Benveniste, J., Haas, E., Ertl, M. (2012). Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), Volume I-7, XXII ISPRS Congress, Melbourne, Australia, 25 August-1 September 2012, 315-321.

opencc-by-4.0Aug 2019View details →

Quality-checked meteorological data from the Southern Ocean collected during the Antarctic Circumnavigation Expedition from December 2016 to April 2017.

Dataset abstract This dataset contains quality-checked meteorological observations of air temperature, relative humidity, dew point, barometric pressure and observations of downwelling solar radiation and ultraviolet radiation. Further it contains the wind speed and direction relative to the ship but not corrected for air-flow distortion, and translated into the earth reference frame. For each of these variables observations are available from a portside and starboard side sensor. The dataset also contains, cloud base height and sky cover at three levels measured with a Ceilometer. As additional information the solar azimuth and altitude angle have been calculated for the ship’s position every five minutes and have been added as a one-minute time series using the nearest value. The ship’s position, heading, course and speed over ground are also provided. The wind speed measurements were made at a height of approximately 30.5 meters above sea level. The measurement height of the temperature and humidity probes is 23.7 meters above sea level. The barometric pressure was measured at 20 meters above sea level. The observations have been screened for implausible values and on some occasions despiking based on visual inspection and a rolling interquartile range filter have been applied. Solar radiation measurements are affected by shadowing of the ship, and the air temperature and humidity by the heating of air that passes over the ship. Masks are provided to flag affected observations. The wind speed readings are affected by airflow distortion and should be used with consideration until a dataset of corrected wind speeds is published. More details on airflow distortion can be requested from the contact person. Dataset contents <ul> <li>ACE_filtered_meteorological_data_1min.csv, data file, comma-separated values</li> <li>diff_TA1_TA3_WDR2_5min_1.png, metadata, portable network graphics</li> <li>ratio_SR1_SR3_solangle_5min_1.png, metadata, portable network graphics</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> <li>ace_filtered_meteorological_data_change_log.txt, metadata, text</li> </ul> Change log v1.1 - The range check for skycover (SC) and cloudlevel (CL) was added to the quality-checking routines. 53 data points violated the range check for these variables: these have now been marked as NaN. v1.0 - Initial release of verified meteorological data. Dataset license This meteorological dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full description can be found at https://creativecommons.org/licenses/by/4.0/

opencc-zeroOct 2024View details →

Public attributions made on Bionomia, December 2022

Public attributions of natural history specimens made for collectors and determiners on Bionomia (<a href="https://bionomia.net/">https://bionomia.net</a>) using data from the Global Biodiversity Information Facility, <a href="https://gbif.org/">https://gbif.org</a>. This file was downloaded from the website on the 28 December 2022. More recent versions of the resource can be found on the official repository on Zenodo for Bionomia at <a href="https://doi.org/10.5281/zenodo.13937806" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13937806</a> . Each row of the file has a subject, predicate and object... <ul> <li>Subject is the specimen identifer from the Global Biodiversity Information Facility e.g. https://gbif.org/occurrence/1801358422</li> <li>Predicate is the indicator as to whether the action of the person is as an identifier or collector. e.g. http://rs.tdwg.org/dwc/iri/identifiedBy</li> <li>Object Is the attributed preson identifed by their ORCID identifier, or Wikidata identifier. e.g. https://orcid.org/0000-0001-9008-0611</li> </ul>

opencc-by-4.0Oct 2023View details →

Physical oceanography and meteorological data from the W1M3A observatory, Ligurian Sea (North Western Mediterranean) January 2014 - December 2014

Time series data of physical oceanography (salinity, temperature) and meteorology (atmospheric pressure, wind speed and direction, air temperature and humidity, shortwave radiation, longwave radiation and rain) collected from January 2014 to December 2014 by observatory W1M3A at 1h interval. The file contains tabular data (tab delimited) with the following columns: Day; Month; Year; UTC Hour; Minute ; Longitude [deg]; Latitude [deg]; Atmospheric Pressure [hPa]; Wind speed [m/s]; Wind direction [deg]; Air Temperature [°C]; Relative air humidity [%]; Short wave Radiation [W/m2]; Long wave radiation [W/m2]; Rainfall [mm/h]; Sea temperature @ 20 m [°C]; Salinity @ 20 m [psu].

opencc-by-4.0Oct 2023View details →

Physical oceanography and meteorological data from the W1M3A observatory, Ligurian Sea (North Western Mediterranean) March 2015 - December 2015

Time series data of physical oceanography (salinity, temperature) and meteorology (atmospheric pressure, wind speed and direction, air temperature and humidity, shortwave radiation, longwave radiation and rain) collected from March 2015 to December 2015 by observatory W1M3A at 1h interval. The file contains tabular data (tab delimited) with the following columns: Day; Month; Year; UTC Hour; Minute ; Longitude [deg]; Latitude [deg]; Atmospheric Pressure [hPa]; Wind speed [m/s]; Wind direction [deg]; Air Temperature [°C]; Relative air humidity [%]; Short wave Radiation [W/m2]; Long wave radiation [W/m2]; Rainfall [mm/h]; Sea temperature @ 6 m [°C]; Sea temperature @ 20 m [°C]; Sea temperature @ 36 m [°C];  Salinity @ 6 m [psu]; Salinity @ 20 m [psu],  Salinity @ 36 m [psu].

openCC (other)Jan 2024View details →

Ice cover data for Falling Creek Reservoir and Beaverdam Reservoir, Vinton, Virginia, USA for December 2013-December 2022

Ice cover was recorded at Falling Creek Reservoir and Beaverdam Reservoir (both located in Vinton, Virginia, USA) using multiple methods. The ice cover record for Falling Creek Reservoir began in the winter of 2013-2014 and Beaverdam Reservoir beginning in the winter of 2020-2021. Falling Creek Reservoir and Beaverdam Reservoir are owned and operated by the Western Virginia Water Authority as a primary and secondary drinking water source, respectively, for Roanoke, Virginia. These two reservoirs are some of the southernmost waterbodies in the United States that exhibit ice cover during the winter. Given incipient climate change, Falling Creek Reservoir and Beaverdam Reservoir's ice cover data represent an important record of warming for waterbodies in the southeastern United States. Ice cover presence was assessed using multiple methods: visual observation of ice spanning the deep hole (from an observer standing on a reservoir's dam); visual observation via an automated camera deployed near the deep hole; water temperature data from a profile of sensors deployed at a reservoir's deepest site; upwelling shortwave radiation and albedo measured by a meteorological station deployed on a metal structure located over Falling Creek Reservoir's deep hole; and dissolved oxygen sensors deployed at multiple depths at the deep hole of both reservoirs.

openCC (other)Mar 2019View details →

Water Quality Data (Extensive) from the Taylor Slough, just outside Everglades National Park (FCE), from August 1998 to December 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). Starting in December 2006 for Sites SRS1d, SRS2, SRS3, and June 2007 for TS/Ph1a, TS/Ph2, and TS/Ph3 - the 3 day composite samples are now combined in a 2 liter bottle upon returning to the lab to form 6 day composite sample. Samples are retrieved every 3-4 weeks. Retrieval of the composite samples may result in a composite sample which is less than three or six days. The recorded date for each composite sample indicates the end date of the sample interval. Samples are 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 are filtered through a Whatman GF/F filters (0.7 um) 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 (TOC is no longer analyzed starting in August 2005 for all sites). 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 freshwat

openCC (other)Jan 2024View details →

Water flow velocity data, Shark River Slough (SRS) near Gumbo Limbo Island, Everglades National Park (FCE) from October 2003 - December 2018

Water velocity data measured every 5 or 15 minutes in Shark River Slough near Gumbo Limbo Island, Everglades National Park, using Sontek Agronaut water flow sampler. Data collection is complete.

openCC (other)Sep 2009View details →

Water flow velocity data, Shark River Slough (SRS) near Satinleaf Island, Everglades National Park (FCE LTER) from July 2003 to December 2005

Water velocity data measured every 5 or 15 minutes in Shark River Slough near Satinleaf tree island, Everglades National Park, using Sontek Agronaut water flow sampler.