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Rubisco limited photosynthesis rates of Red mangrove leaves at Key Largo, Watson River Chickee, Taylor Slough, and Little Rabbit Key, South Florida (FCE) from July 2001 to August 2001

Determine the Rubisco limited carboxylation rates of red mangrove ( species Rhizophora mangle) leaves. This information will be used to model carbon sequestration by Red mangroves.

Light limited carboxylation rates of Red mangrove leaves at Key Largo, Watson River Chickee, Taylor Slough, and Little Rabbit Key, South Florida (FCE) from July 2001 to August 2001

Our goal is to determine light limited carboxylation rates of red mangrove (specie sRhizophora mangle) leaves. This information will be used to model carbon sequestration by Red mangroves.

Flux measurements from the SRS-6 Tower, Shark River Slough, Everglades National Park, South Florida (FCE) from January 2004 to August 2005

Above canopy measurements of carbon dioxide fluxes and sensible and latent heating were obtained with an open path eddy covariance system positioned on the tower at 26-m. Additionally, measurements of solar irradiance, wind speed, air temperature and humidity were made every half hour.

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.

Greenhouse experiment (FCE) in April and August 2001: Responses of neotropical mangrove saplings to the combined effect of hydroperiod and salinity/Biomass

A greenhouse experiment was performed for 13.5 months to evaluate the effect of salinity and hydroperiod on seedling growth rates of 2 mangrove species( Laguncularia racemosa and Rizhophora mangle). Data analyses are currently being performed.

Greenhouse mixed culture experiment from August 2002 to April 2003 (FCE): Evaluate the effect of salinity and hydroperiod on interspecific mangrove seedlings growth rate (mixed culture) / Morphometric variables

A greenhouse experiment (mixed culture experiment) was performed for 8 months to evaluate the effect of salinity and hydroperiod on seedling growth rates of 2 mangrove species( Laguncularia racemosa and Rizhophora mangle). Data analyses are currently being performed.

openCC (other)Jan 2023View details →

Fish community data obtained from Antillean-Z fish trap deployment in the Eastern Gulf of Shark Bay, Australia from June 2013 to August 2013

This dataset consists of capture data of teleost communities caught in Antillean-Z fish traps deployed in 2013. Also included are anciliary environmental data as well as trap deployment information. This dataset will be used to determine changes in teleost community structure and abundance in response to an extreme temperature event and associated decline in seagrass cover in Shark Bay, Western Australia.

openCC (other)Aug 2025View details →

Percentage of Carbon and Nitrogen of Soil Sediments from the Shark River Slough, Taylor Slough and Florida Bay within Everglades National Park (FCE LTER), Florida, USA, August 2008 - ongoing

These data represent the results of CHN Analysis from annual soil sampling from all 17 FCE LTER transect locations from Year 2008 thru ongoing. In 2017, the samples were collected before Hurricane Irma (2017a) and post Hurricane Irma (2017b). Surface soils from 0-10 cm been homogenized and analyzed from Sawgrass and mangrove sites and Florida Bay sites. Soils and sediments were analyzed for percentage by weight of total Carbon and Nitrogen with a PerkinElmer CHNS /O 2400 Series II Elemental Analyzer. These analyses are completed to document the differences in soil composition among transect sites, and to provide a baseline dataset against which long-term changes in the properties of the soils can be detected.

opencc-by-4.0Dec 2020View details →

TWINS ENA flux and ion temperature data for interval on August 3, 2016

This is a dataset for TWINS ENA flux and calculated ion temperatures used to prepare Figure 1 for a submission to GRL of a paper by A. M. Keesee, N. Buzulukova, C. Mouikis and E. E. Scime  "Mesoscale structures in Earth's magnetotail observed using energetic neutral atom imaging". The dataset has 56 files in .csv format. Files containing the ion temperature (in keV) arrays in the GSM equatorial plane used for Fig. 1a-d have names with format 'temp_YYYYMMDDHHMM.csv' Also included in the dataset are the ENA fluxes projected to the GSM equatorial plane that were used to calculate the ion temperatures. These files have names with formal 'flux[energy]_YYYMMDDHHMM.csv' where [energy] is in keV. The IDL scripts used to create the projections as well as the fitting algorithms used to calculate the ion temperatures are included in Keesee, Amy; Scime, Earl; Zaniewski, Anna; and Katus, Roxanne (2019). 2D Ion Temperature Maps from TWINS ENA data: IDL scripts. UNH Scholars’ Repository <a href="https://dx.doi.org/10.34051/c/2019.1">https://dx.doi.org/10.34051/c/2019.1</a>

opencc-by-4.0Jan 2021View details →

Infrasound array data recorded in July-August, 2019, at Mt. Etna (Italy) during the VOSSIA field experiment

We present infrasound data recorded by two infrasound arrays installed at Mt. Etna (Italy) within the framework of the VOSSIA (Volcanic emissions analysis through Seismic and Infrasound Advanced monitoring) project. VOSSIA was supported by the Trans-National Access component of the EUROVOLC project (European Network of Observatories and Research Infrastructures for Volcanology, EU Horizon 2020 Research Infrastructure Project grant No 731070). This data repository includes continuous raw waveforms recorded by two 6-element, small-aperture, infrasound arrays during July-August, 2019. The arrays, ENEA and ENCR, were installed on Mt. Etna in proximity of the summit Nord East and South East craters, respectively. ENEA was equipped with Chaparral M60 sensors (<a href="http://chaparralphysics.com/specs/specs_model60UHP.pdf">http://chaparralphysics.com/specs/specs_model60UHP.pdf</a>), while IST2018 microphones (<a href="https://doi.org/10.1016/j.jvolgeores.2019.106668">https://doi.org/10.1016/j.jvolgeores.2019.106668</a>) were installed at ENCR. Data at both arrays were recorded with a sampling frequency of 100 Hz and 24-bit resolution using DiGOS Datacube3 digitizers (<a href="https://digos.eu/seismology-and-cubes/">https://digos.eu/seismology-and-cubes</a>). Waveform data are provided as day-long files in MSEED format (<a href="https://ds.iris.edu/ds/nodes/dmc/data/formats/">https://ds.iris.edu/ds/nodes/dmc/data/formats/</a>). We also provide metadata including: 1) Station coordinates (.csv file station_coords.csv); 2) Instrument_response.rar: Instrument response information in different formats (individual RESP files, SEED DATALESS, xlm DATALESS)

opencc-by-4.0Apr 2022View details →

Historical Sea Surface Temperature (SST) data and thermal stress indices of the Tara Pacific Expedition's coral reef sampling sites, from May 1st 2002 to August 31st 2018.

The Tara Pacific expedition (2016-2018) sampled coral ecosystems at 111 sampling sites around 32 islands in the Pacific Ocean, and sampled the surface of oceanic waters at 249 locations, resulting in the collection of nearly 58,000 samples (Gorsky et al. 2019, Planes et al. 2019, Flores et al. 2020). The expedition was designed to systematically study corals, fish, plankton, and seawater, and included the collection of samples for advanced biogeochemical, molecular, and imaging analysis. Here we provide a high-resolution historical dataset that spans from 2002 to each sites’ sampling date and gives an overview of past climate variability and heatwaves experienced by corals sampled at each site. Ocean skin temperature (11 and 12 µm spectral bands longwave algorithm) was extracted from 1km resolution level-2 MODIS-Aqua and MODIS-Terra from 2002 to the sampling date and from level-2 VIIRS-SNPP from 2012 to the sampling date. Day and night overpasses were used to maximize data recovery. Following recommendations from NASA Ocean Color (OB.DAAC), only SST products of quality 0 and 1 were used. The 9 closest pixels to the sampling sites of each scene were extracted. All the extracted pixels from the 3 satellites were then averaged daily to obtain daily SST averages and standard deviations time series for each sampling site, from 2002 to the sampling date. Each time series was first averaged on a Julian day basis to provide a seasonal average. This yearly seasonal average was triplicated and concatenated into a 3-year seasonal cycle to apply a digital low pass filter on the middle year without generating artifacts. A digital low pass filter (filter order 3, pass band ripple 0.1; “filfilt” function in matlab) with 36 Julian days windows was applied to the concatenated time series to remove high frequency noise. The middle year was then extracted from the concatenated time series to recover the seasonal cycle. The sea surface temperature anomaly was calculated as the SST minus the seasonal cycle over the full time series. Considering the short periods of missing data (mean of the 95th percentile of the duration of consecutive days with missing data: 9.8 ± 4.1 days), the missing values in the SST and SST anomaly time series were linearly interpolated in order to calculate thermal stress indices. The SST anomaly frequency was calculated as the number of days over the past 52 weeks when the SST anomaly is greater than or equal to 1 °C. Thermal stress indices relevant to coral reef health were then calculated using methodology developed for the Coral Reef Temperature Anomaly Database (CoRTAD) data base (Saha et al. 2019). Events of cold temperature accumulation were also reported to cause bleaching and mortality (Lirman et al. 2011; González-Espinosa & Donner 2020), therefore, the same set of indices were calculated for cold stress adapting the CoRTAD method, but using the minimum weekly climatologies. A condensed table containing single values associated with each sampling site was created ('TaraPacific_SST_timeseries_mean_products') extracting the minimum, maximum, sum, averages, standard deviations, and value recorded at the sampling day of each of these indices (detailed in the readme file provided with the dataset 'README_TaraPacific_historical_SST.md'). Additional metrics of the last heating and cooling events as well as the time of recovery is also provided to represent the state of thermal stress at the day of sampling.

opencc-zeroJul 2024View details →

Metadata of the "Alter Realkatalog" (ARK) of Berlin State Library (SBB) Version 2 - August 2025

This dataset was created with the intent to provide a single larger set of metadata from Berlin State Library for research purposes and the development of AI applications. The dataset comprises descriptive metadata of 2.639.554 titles derived from the union catalogue K10plus, a database with about 200 million records from libraries across 11 German states. Selected are all records that include system entries ("Systemstellen") from the historical classification of the "Alter Realkatalog" (ARK), a subject catalogue of the Staatsbibliothek zu Berlin – Berlin State Library. They refer to publications from 1501 to 1955 and reproductions thereof. The title data contain subject headings and BK classmarks that have been transmitted onto them from the "<a href="https://ark.staatsbibliothek-berlin.de/">Historische Systematik</a>", the online representation of the ARK classification.

opencc-by-4.0Jun 2023View details →

WRF Forecast Data used for Verification of multi-resolution model forecasts of heavy rainfall events of 23rd-26th August 2017 over Nigeria

A deterministic Weather Research and Forecasting model version 4.2 forecast of heavy convective rainfall associated with the passage of the African Easterly Wave (AEW) within the period 23rd-26th August 2017 over Nigeria. The model was setup to perform two nested domain simulations with 18 (parent domain), 6 and 2 km (hereafter WRF18, WRF6 and WRF2) horizontal resolutions. The outer domain covers West Africa and the innermost domain, which runs at convection-permitting scale, focuses on Nigeria. When interpreting the results, it is worthy of note that the data has been regridded to 18 km, which is 3 x the grid scale for WRF6 and 9 x the grid scale for WRF2. This means that there is a fair degree of smoothing that has been applied using a bilinear regridding process to get the models onto a level playing field. Only WRF18 retains its native grid and has not benefited from any additional smoothing. The WRF model setup is similar to the study of Gbode et al. (2019; DOI: https://doi.org/10.1007/s00704-018-2538-x) in terms of the model physics combination used in the model simulations. The parameterization schemes used are the Goddard (GD) WRF model microphysics (MP), the Mellor–Yamada–Janjic (MYJ) planetary boundary layer (PBL) and the Bett-Miller-Janjic (BMJ) cumulus convection (CU) parameterization schemes. This combination was found to reproduce realistic rainfall and temperature relative to gridded observations over West Africa. The GD is a six-class microphysics with graupel and modifications for ice/water saturation. MYJ is a local closure scheme that predicts turbulent kinetic energy and the BMJ CU is a profile adjustment scheme that relaxes both deep and shallow profiles toward a reference profile without explicit updraft, downdraft, or cloud entrainment. However, the CU scheme was turned off in the 2 km domain to explicitly represent convection.

openCC (other)Apr 2019View details →

Influences on charitable giving for conservation: Online survey data of 1,331 respondents across the US, August 2017

This dataset records survey data collected from an online panel of 1,331 anonymous, nationwide U.S respondents. Data collection was both initiated and completed in August 2017. Survey data is of two major types. The first type, information about respondents, includes (1) select background and demographic information; (2) a brief version of a social desirability scale, measured to test and control for potential bias related to socially desirable responding; and (3) a scale developed to measure moral inclusivity, conceptualized as the breadth of an individual’s moral community (i.e., to what extent do different types of entities “count,” in a moral sense). The second type of data records information about an experimental message manipulation featured in the survey. The dataset includes one variable indicating which of seven manipulated textual messages each respondent viewed, along with several variables used as metrics of response to the messages, including (1) attitudes toward the message; (2) hypothetical willingness to donate for the cause promoted in the message; (3) perceived moral salience of the message (i.e., the extent to which it was perceived as a matter of moral concern); (4) manipulation checks, to test whether the manipulated elements of the messages were perceived as intended, and (5) a donation set-up, in which individuals were given the option to donate between $0 and $5 for a conservation organization, from an incentive fee provided by the researchers.

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 2006View details →

Monthly monitoring of Fluorescence, UV, Humic and non-Humic Carbon, Carbohydrates, and DOC for Shark River Slough, Taylor Slough, and Florida Bay, Everglades National Park (FCE LTER) for January 2002 to August 2004

A better understanding of the biogeochemical cycling of nutrients in the Florida Coastal Everglades is a key issue regarding the restoration of the Everglades, which is expected to change the water quality throughout South Florida. In addition to rain, the main freshwater supply to Florida Bay will be derived from Taylor Slough and the C-111 Basin in the north-east section of the Bay. While it is known that these areas deliver significant amounts of nitrogen to the Bay, a significant portion of this nitrogen is in its dissolved organic form (DON). The sources, environmental fate and bioavailability to microorganisms of this DON are however, not known. Preliminary data suggest that although proteins have been detected in canal samples, labile dissolved organic matter (DOM) components were found to increase in abundance in the freshwater marshes compared to their levels in the adjacent canal waters. Leaching experiments of biomass showed the presence of such labile DOM. However, this DOM was found to be susceptible to both biodegradation and photodecomposition. In this study we will focus on the determination of the molecular characteristics of both DOM and DON and assess the bioavailability of these materials in transects ranging from the C-111 canal and Taylor Slough to the central part of Florida Bay. Relevant water quality and spectroscopic parameters will be monitored at 11 sites on a monthly basis, while six of these sites will be sampled biannually for DOM and DON chemical characterization and bioavailability studies. Advanced analytical techniques such as pyrolysis-GC/MS, FTIR, 13C- and 15N-NMR, gel electrophoresis and LC/MS will be used in the molecular characterization effort. We envisage that this study will allow for a better assessment of the sources of DON and its bioavailability in this system.

openCC (other)Sep 2009View details →

Water flow velocity data, Shark River Slough (SRS) near Black Hammock island, Everglades National Park (FCE LTER), South Florida from October 2003 to August 2005

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

openCC (other)Feb 2016View details →

Non-continous meteorological data from Butternut Key Weather Tower, Florida Bay, Everglades National Park (FCE LTER), April 2001 through August 2013

The following abstract is from Price, R.M., Nuttle, W.K., Cosby, B.J., and Swart, P.K. 2007. Variation and Uncertainty in Evaporation from a Subtropical Estuary: Florida Bay, Estuaries and Coasts. 30(3): 497-506: Variation and uncertainty in estimated evaporation was determined over time and between two locations in Florida Bay, a subtropical estuary. Meteorological data were collected from September 2001 to August 2002 at Rabbit Key and Butternut Key within the Bay. Evaporation was estimated using both vapor flux and energy budget methods. The results were placed into a long-term context using 33 years of temperature and rainfall data collected in south Florida. Evaporation also was estimated from this long-term data using an empirical formula relating evaporation to clear sky solar radiation and air temperature. Evaporation estimates for the 12-mo period ranged from 144 to 175 cm yr21, depending on location and method, with an average of 163 cm yr21 (6 9%). Monthly values ranged from 9.2 to 18.5 cm, with the highest value observed in May, corresponding with the maximum in measured net radiation. Uncertainty estimates derived from measurement errors in the data were as much as 10%, and were large enough to obscure differences in evaporation between the two sites. Differences among all estimates for any month indicate the overall uncertainty in monthly evaporation, and ranged from 9% to 26%. Over a 33-yr period (1970 to 2002), estimated annual evaporation from Florida Bay ranged from 148 to 181 cm yr21, with an average of 166 cm yr21. Rainfall was consistently lower in Florida Bay than evaporation, with a long-term average of 106 cm yr21. Rainfall considered alone was uncorrelated with evaporation at both monthly and annual time scales; when the seasonal variation in clear sky radiation was also taken into account both net radiation and evaporation were significantly suppressed in months with high rainfall.

openCC (other)Jan 2019View details →

Mangrove soil phosphorus addition experiment from June 2013 to August 2013 at the mangrove peat soil mesocosms (FCE), Key Largo, Florida - Nutrients in Porewater, Soil and Roots

Sea levels in South Florida are conservatively predicted to rise by 0.60 m by 2060. The key mechanisms that maintain coastal peatland elevation against increasing sea level are organic matter accumulation via plant production and mineral sedimentation rates (Smoak et al. 2013). Although coastal mangrove soils are regularly inundated with seawater, little is know about the drivers of carbon sequestration (above or below ground) versus atmospheric efflux under different conditions of salinity and elevated phosphorus (P) associated with sea-level rise and storm surge. A recent study using mangrove peat soils found that seawater inundation reduced soil carbon efflux losses and salinity concentration had little effect on carbon retention or loss pathways. The next logical steps are to understand how plant-soil interactions affect above and below ground carbon processes, as well as how increases in P associated with storm surge from the Gulf of Mexico will influence physical, chemical and biological components of mangrove soils that are associated with above and belowground carbon processes. We will manipulate P in inundated peat soil mesocosms with disturbed and undisturbed red mangrove (Rhizophora mangle) seedlings to identify some of the fundamental mechanisms of soil elevation and carbon cycling given expected increases in seawater-based P availability in South Florida coastal mangroves.