Find research datasets worth reusing

opencc-by-4.0Jun 2024View details →

Assessment of vulnerability to climate change of coastal communities in the Gulf of California and the Yucatan Peninsula: vulnerability outputs

The dataset includes the outputs of the project: "Assessment of vulnerability to climate change of coastal communities in the Gulf of California and the Yucatan Peninsula: vulnerability outputs" funded by the David and Lucille Packard Foundation and awarded to H. Reyes-Bonilla (UABCS).  This study analyzed vulnerability of fisheries-dependent coastal communities based on three components: a) adaptive capacity (84 indicators), which reflect the ability of a community to respond and recover after adverse events; b) susceptibility (11 indicators) which was determined based on fishing dependence; and c) exposure (31 indicators) that was evaluated with current environmental data. Future vulnerability was determined for a 2050 horizon and based on two climate change scenarios: SSP126, which represents low emissions, and SSP585, which takes into consideration that the amount of greenhouse gases will continue to increase. These data come from the Coupled Model Intercomparison Project 6 (CMIP6), which serves as the basis for the 6th IPCC report. We evaluated vulnerability using indicators what were available at the local scale.

opencc-by-4.0Aug 2024View details →

Sediment Budget for Timber Harvest in a California Coastal Watershed

Dataset for Publication: Sediment Budget for Timber Harvest in a California Coastal Watershed

opencc-by-4.0Aug 2024View details →

Data from: The thermal limits of native plant species in California Coastal Sage Scrub

Field and laboratory data for Goldsmith et al. (In Review) entitled, "The thermal limits of native plant species in California Coastal Sage Scrub." Four data files are included:  Goldsmithetal_PlantFunctionalTraitMetaData-18July24.xlsx -Provides metadata (header, description, units, measurement type, and expample) for each column of the file entitled "Goldsmithetal_PlantFunctionalTraitData-18July24.csv."  Goldsmithetal_PlantFunctionalTraitData-18July24.csv - Provides raw data for field and lab observations of plant functional traits as described in the methods section of this data record.  Goldsmithetal_PlantFvFmLabData-29March24.csv - Provides raw data for experimental lab observations of leaf fv/fm following experimental heat treatments as described in the methods section of this data record.  Goldsmithetal_PlantFvFmLabMetaData-2Aug23.xlsx - Provides metadata (header, description, units, measurement type, and expample) for each column of the file entitled "Goldsmithetal_PlantFvFmLabData-29March24.csv."    Contact Greg Goldsmith (goldsmith at chapman dot edu) for additional information.

opencc-by-4.0May 2024View details →

Coastal Foredune Belowground Biomass, Aboveground Biomass, and Species Cover

We collected data from cross-shore transects at seven sites; three categorized as unmanaged (i.e., Corolla Reserve, the northern dunes of the US Army Engineer Research and Development Center [ERDC] Field Research Facility [FRF North], and dunes in the southern reaches of that same site [FRF South]) and four categorized as managed (i.e., Southern Shores, Nags Head, Pine Island and Duck). Sediment vibracores (n = 15 managed, 10 unmanaged) were collected between September and December 2020 at the dune toe, dune face, crest and back along a single transect at each site. Cores were stored at 4 °C and processed within one week of collection to prevent root degradation. Cores were bisected longitudinally and the sediment from each half was segmented into 30 cm sections from the ground surface (i.e., 0–30 cm, 31–60 cm, 61–90 cm, 91–120 cm, 121–150 cm). To separate belowground biomass, core sections were wet sieved using stacked 3.36 mm, 1.0 mm and 0.5 mm mesh-size sieves. Living belowground biomass was characterized as the sample portions with roots, rhizomes and belowground stems that were still flexible and did not exhibit signs of decomposition. All other biotic material was classified as non-living biomass (e.g., decayed plant material, twigs, seeds, wrack). Within the living belowground biomass component, live roots were separated from other belowground structures (rhizomes, belowground-stems) and scanned using an Epson Perfection V800 Photo electric scanner calibrated for image analysis with WinRhizo™ Pro 2019a by Regent Instruments (Regent Instruments Inc, Quebec City, Quebec, Canada). Images were analyzed to quantify root surface area by diameter size class. Fine roots were defined as those with < 1 mm diameter. All living and non-living belowground biomass was oven-dried at 60 °C for 72 hours and weighed.  Soil organic matter content was quantified by loss-on-ignition following manual removal of roots. Samples (1 g of sediment from each core section) were baked in a muffle furnace at 550 °C for 5 hours and reweighed to estimate soil organic matter content (%). Aliquots (300 mg) of each core segment were submitted to the Cornell Stable Isotope Laboratory for % carbon (C) and % nitrogen (N) analysis. Due to cost, only the top 90 cm of soils were sent for C and N analysis. Vegetation surveys were conducted during Summer 2021. We established vegetation survey plots (0.25 m2 plot size) centered on each exact coring location. We estimated vegetation cover by species (within 0.25 m2 plot), cover of bare ground, dead plant cover. Adjacent to the coring plots, aboveground biomass (within a 0.1 x 1 m plot) was collected to complement belowground biomass sampling at all sites except Duck, where grasses had been manually planted and permission to harvest aboveground biomass was not granted to maintain the vegetation on the dune face. Aboveground biomass was oven-dried at 60 °C for 72 hours, weighed and scaled to g m-2. More details can be found in the manuscript: White AE, Cohn N, Davis EH, Hein CJ, Zinnert JC. Coastal dune management affects above and belowground biotic characteristics. Scientific Reports (in press).

Indicative distribution map for Ecosystem Functional Group MFT1.3 Coastal saltmarshes and reedbeds

This archive contains indicative distribution maps and profiles for MFT1.3 Coastal saltmarshes and reedbeds, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith et al. (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).

Indicative distribution map for Ecosystem Functional Group FM1.1 Deepwater coastal inlets

This archive contains indicative distribution maps and profiles for FM1.1 Deepwater coastal inlets, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith et al. (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).

Indicative distribution map for Ecosystem Functional Group MFT1.1 Coastal river deltas

This archive contains indicative distribution maps and profiles for MFT1.1 Coastal river deltas, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith et al. (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).

Indicative distribution map for Ecosystem Functional Group MT2.1 Coastal shrublands and grasslands

This archive contains indicative distribution maps and profiles for MT2.1 Coastal shrublands and grasslands, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith et al. (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).

opencc-by-4.0Jun 2023View details →

Initial Sample of HYPERNETS Hyperspectral Water Reflectance Measurements for Satellite Validation at Berre coastal lagoon, BEFR site (France)

The HYPERNETS project (www.hypernets.eu) has the overall aim to ensure that high quality in situ measurements are available to support the (VNIR/SWIR) optical Copernicus products. Therefore, it established a new autonomous hyperspectral spectroradiometer (HYPSTAR® - www.hypstar.eu) dedicated to land and water surface reflectance validation with instrument pointing capabilities. In the prototype phase, the instrument is being deployed at 24 sites covering a range of water and land types and a range of climatic and logistic conditions. This dataset provides the first published data for the HYPERNETS site at Etang de Berre in France (BEFR). It is a subset of the complete data record which consists of the best quality BEFR measurements which could be used for satellite validation.  The provided NetCDF files are the L2A hypernets products with water leaving radiance and reflectances, with and without NIR Similarity Correction (see Ruddick et al., 2006, DOI:<a href="http://dx.doi.org/10.2307/3841124">10.2307/3841124</a>). The reflectance in the L2A products is the Water Reflectance without NIR Similarity Correction (referred to as reflectance_nosc in the file) defined as: ρwnosc=π(Lu−ρFLd)/Ed   where Lu is the upwelling radiance (at 40° zenith angle, and, 90° or 135° azimuth angle relative to the sun), Ld is the downwelling radiance (at 140° zenith angle, and, 90° or 135° azimuth angle relative to the sun). Ed is the (hemispherical) downwelling irradiance (i.e. including both direct solar and diffuse sky irradiance). For the BEFR site, the reflectance corrected for the NIR Similarity correction (epsilon, see Ruddick et al., 2006) is also provided: ρw=π(Lu−ρFLd)/Ed−ϵ   These reflectances have dimensions of wavelength and series, where each series is a set of measurements for the computation of a water reflectance measurement. In addition to variables for wavelength and bandwidth, the files also contain variables that provide for each series the acquisition time, viewing and solar angles, and quality flags (typically no flags are set in the data provided in this dataset). These NetCDF files also contain further relevant metadata as attributes. See https://hypernets-processor.readthedocs.io/ for further info. The HYPSTAR®-SR (Standard Range) instruments deployed at each land HYPERNETS site consist of a VNIR sensor and autonomously collect data between 380-1000 nm at various viewing geometries and send it to a central server for quality control and processing. The VNIR sensor spans 1330 channels between 380 and 1000 nm with a FWHM of 3 nm. The hypernets_processor (Goyens et al. 2021, DOI: <a href="https://doi.org/10.1109/IGARSS47720.2021.9553738">10.1109/IGARSS47720.2021.9553738</a>; De Vis et al. in prep.) automatically processes all this data into various products, including the L2A surface reflectance product provided here. The current dataset is limited to the 400-900 nm range. Uncertainties are not yet included. To obtain this dataset, we start from the full BEFR data record and omit all the data that do not pass all of the quality checks performed as part of the hypernets_processor. In addition, an additional screening procedure was developed to supply the best quality data suitable for satellite validation: 1. The coefficient of variation in water reflectance is below 10% in the 500-600 nm range 2. The water reflectance (after correction for the NIR similarity) between 700-900 nm is below 0.01

opencc-by-4.0Jul 2023View details →

Great Britain coastal areas

Geographic areas in Great Britain that can be considered to be coastal. Datasets include: <ul> <li>England/Wales LSOA</li> <li>England/Wales MSOA</li> <li>England/Wales/Scotland Local Authorities</li> <li>England/Wales/Scotland counties</li> <li>England/Wales parishes</li> <li>Scottish Data Zones</li> </ul> This dataset was created using <a href="https://zenodo.org/record/7985671">existing coastline data</a> and <a href="https://gitlab.com/then-try-this/climate-tool/-/blob/f78c6b21b2350758a78ed50a4ba9408ab044aaed/data/builder/coastal.py">script</a> to calculate which zones are within 50m of the coastline. The boundary datasets used can be found under the <a href="https://gitlab.com/then-try-this/climate-tool/-/blob/main/docs/sources.md">'boundaries' section here</a>.

opencc-by-4.0Aug 2023View details →

South East Australian Coastal Ocean Forecast System (SEA-COFS)

A suite of high resolution hydrodynamic ocean models for south eastern Australia that form the South East Australian Coastal Ocean Forecast System (SEA-COFS). The modelling suite includes output from several different configurations of the Regional Ocean Modeling System hydrodynamic simulation of the East Australian Current (EAC) System. These various model configurations include free running hindcast models, data assimilating state estimates, ocean forecasts and various nested high resolution runs. There is also a biogeochemical configuration of the fennel model on the EAC parent grid. At the time of upload there were four model grids (check later versions for new and revised / extended grids). The SEA-COFS domain covers the southeastern Australia oceanic region from 25.1-41.5 S and 147.1-162.2 E. SEACOFS_EAC_Grid.nc Is the parent grid of the EAC Domain 2.5-6km resolution <ul> <li>Kerry, C. G. and M. Roughan, (2020). A high-resolution, 22-year, free-running, hydrodynamic simulation of the East Australia Current System using the Regional Ocean Modeling System. UNSW.dataset. <a href="https://doi.org/10.26190/5e683944e1369"> 10.26190/5e683944e1369</a>. </li> <li>Kerry, C. G. and M. Roughan, Powell, Brian, Oke, Peter (2020). A high-resolution reanalysis of the East Australian Current System assimilating an unprecedented observational data set using 4D-Var data assimilation over a two-year period (2012-2013). Version 2017. UNSW.dataset. <a href="https://doi.org/10.26190/5ebe1f389dd87"> 10.26190/5ebe1f389dd87</a>.  Kerry, C. , Powell, B. Roughan, M. and Oke, P. (2016) <a href="http://www.geosci-model-dev.net/9/3779/2016/gmd-9-3779-2016.pdf">Development and evaluation of a high-resolution reanalysis of the East Australian Current region using the Regional Ocean Modelling System (ROMS 3.4) and Incremental Strong-Constraint 4-Dimensional Variational (IS4D-Var) data assimilation</a>. Geosci. Model Dev, 9, 3779-3801, 10.5194/gmd-9-3779-2016  </li> </ul> SEACOFS_CoffsHarbour_Grid.nc  Coffs Harbour Region 0.75-1km resolution <ul> <li>Kerry, C., Roughan, M., & Powell, B. (2020). <a href="https://doi.org/10.1016/j.jmarsys.2019.103286">Predicting the submesoscale circulation inshore of the East Australian Current</a>. Journal of Marine Systems (Vol. 204, p. 103286)</li> </ul> SEACOFS_HSM_Grid.nc - Hawkesbury Shelf Model (HSM) 750m resolution  <ul> <li>Ribbat N., M. Roughan, B. Powell, C. Kerry, S. Rao, (2020). A high-resolution (750m) free-running hydrodynamic simulation of the Hawkesbury Shelf region off Southeastern Australia (2012-2013) using the Regional Ocean Modeling System. UNSW.dataset. <a href="https://doi.org/10.26190/5ec35ca34752e">DOI: 10.26190/5ec35ca34752e</a>. <a href="https://researchdata.ands.org.au/high-resolution-750m-ocean-modeling/1460879">Data access and more information.</a></li> </ul> SEACOFS_Narooma_Grid.nc  Narooma Model  0.75-1km resolution EAC_BGC Fennel Model  <ul> <li>Rocha, C., Edwards, C. A., Roughan, M., Cetina-Heredia, P., & Kerry, C. (2019) <a href="https://doi.org/10.5194/gmd-12-441-2019">A high-resolution biogeochemical model (ROMS 3.4 + bio_Fennel) of the East Australian Current system</a>  Geosci. Model Dev., 12, 441-456</li> </ul>

opencc-by-4.0Sep 2023View details →

Time Series of Water Levels in a Coastal Barrier-Lagoon System, NW Spain (2009-2012)

This repository contains the data recorded by water-level loggers (survey-pressure transducers) deployed in a barrier-lagoon coastal system, which were used in the study by R. González-Villanueva, M. Pérez-Arlucea, and S. Costas titled 'Lagoon Water-Level Oscillations Driven by Rainfall and Wave Climate,' published in Coastal Engineering, Volume 130, 2017, Pages 34-45, ISSN 0378-3839, available at <a href="https://doi.org/10.1016/j.coastaleng.2017.09.013">https://doi.org/10.1016/j.coastaleng.2017.09.013</a> The repository consists of three text files: <ol> <li>lagoon_water_level.txt</li> <li>sea_level.txt</li> <li>phreatic_level.txt</li> </ol> Each file includes a header with metadata and information for each column in the data file, as follows: <ul> <li>pt_id: ID of the individual record</li> <li>pt: instrument used</li> <li>lat: Latitude in WGS84</li> <li>long: Longitude in WGS84</li> <li>units: Indicates the measurement unit for the water level recordings</li> <li>temporal resolution: Indicates the time interval between two consecutive measurements</li> <li>column 1: Description of the data contained in column 1</li> <li>column 2: Description of the data contained in column 2</li> <li>column n: Description of the data contained in column n</li> </ul>

openCC (other)Nov 2024View details →

Sea-level rise and freshwater management are reshaping coastal ecosystems in the Florida Everglades

Datasets include hydrology (water level and salinity), net ecosystem exchange of CO2, photosynthetically active radiation (PAR), and air temperature for a freshwater marl prairie, brackish marsh ecotone, and saline scrub mangrove forest. Data were derived from multiple sources, including two sites from the South Florida Water Management District (SFWMD) DBhydro web database, two sites from the Florida Coastal Everglades Long Term Ecological Research (FCE-LTER) program and three AmeriFlux sites in the Southeastern Everglades region. Ameriflux sites were co-located with FCE-LTER sites. To understand the effects of sea level rise and freshwater management on landscape carbon exchange (C), we measured the net ecosystem exchange of CO2 (NEE) between subtropical wetland ecosystems and the atmosphere along a dynamic salinity gradient. Ecosystems were representative of freshwater marl prairies, brackish marsh ecotones, and saline scrub mangrove forests. In the southeastern Everglades, the magnitude of environmental change was greatest along the coast, where mangrove scrub forests exhibited a greater capacity to maintain CO2 uptake with changing conditions.

openCC (other)Jan 2025View details →

A database of published mangrove articles for coastal Louisiana, USA

Mangroves are being increasingly recognized as natural climate solutions for the range of ecosystem services they provide. In North America, one of the northern range limits of mangroves is found in coastal Louisiana, USA, where in recent decades, mangroves have been expanding into wetlands formerly dominated by salt marsh primarily due to decreases in the frequency and severity of winter freeze events. While reviews focused on mangrove ecology that include coastal Louisiana within a broader geographic scope have been conducted, no systematic review has focused on what is known about mangrove ecology across coastal Louisiana, a region that contains the expansive Mississippi River Delta. To fill this knowledge gap, we conducted a systematic review to highlight the breadth of mangrove research topics that have been studied in coastal Louisiana and identify emerging and future research opportunities. We identified four main research topics: (1) mangrove expansion, (2) freeze tolerance, (3) coastal restoration, and (4) disturbance. We also identified geographic biases in where mangrove research has been conducted, with a focus around the heavily industrialized Port Fourchon/Grand Isle area.

openCustomAug 2021View details →

Dune Biomass on Hog Island, Virginia Coastal Barrier Islands, 1993-2012 (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/323/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-vcr/70/25. The abstract below was extracted from the Level 0 data package and is included for context:

openCC (other)Jan 2025View details →

Physical Hydrologic Data for the National Audubon Society's 16 Research Sites in coastal mangrove transition zone of southern Florida, March 1986 - ongoing

Temperature, salinity and depth were continuously collected using Hydrolab/Hach sensors within the coastal mangrove transition zone at 16 sites from southern Biscayne Bay to Cape Sable. Data were collected at 12 sites within the coastal mangrove zone of Everglades National Park, incorporating the Cape Sable, Taylor River and Panhandle region. Data were collected at 4 sites within the coastal mangrove zone of southern Biscayne Bay, incorporating the Manatee Bay, Barnes Sound, and Card Sound regions. Rainfall, pH, and dissolved oxygen were collected at a number of these sites with varying periods of record.

openCC (other)Feb 2018View details →

Periphyton, hydrological and environmental data in a coastal freshwater wetland (FCE), Florida Everglades National Park, USA (2014-2015)

The characteristic, calcareous periphyton mats of the Everglades, and particularly their diatom assemblages, provide an ideal community to study the patterns and mechanisms of community assembly along environmental gradients with ecotones. Understanding patterns and mechanisms of diatom community assembly along salinity and P gradients can be incorporated into tools for predicting changes in these gradients, and the location and movement of the "white zone" ecotone, caused by saltwater intrusion and water management outcomes in the Southern Everglades. Patterns of environmental variation and periphytic-diatom community structure along the freshwater-marine gradient of Everglades National Park, FL., USA were examined by sampling along a series of 7 transects extending from oligotrophic, freshwater marshes through the ecotone and down to the northern edge of the fringing mangrove forests. Seven transects spanning the west-east extent of the southeast Everglades, from the Main Park Road in the west to the Model Lands in the east, were sampled once in the dry season (May) and once in the wet season (November) of 2014 and 2015. These data are published in "Mazzei and Gaiser. 2018. Diatoms as tools for inferring ecotone boundaries in a coastal freshwater wetland threatened by saltwater intrusion. Ecological Indicators. 88:190-204."

openCC0Feb 2020View details →

Sediment and nutrient deposition and plant-soil phosphorus interactions associated with Hurricane Irma (2017) in mangroves of the Florida Coastal Everglades (FCE LTER), Florida

We quantified how Hurricane Irma influenced soil nutrient pools, vertical accretion, and plant phosphorus (P) uptake after its passage across the Florida Coastal Everglades in September 2017. Mangrove leaf litter data from three years (2008, 2014, 2018) were selected for each site at Shark River estuary to identify species-specific foliar P responses post-Wilma’s impact in 2005 and immediate post-Irma’s impact in 2017. We also monitored porewater SRP concentrations in the Shark River mangrove sites to evaluate the effect of Hurricane Irma on soil chemistry. The data in this data package were used in the following paper: Castañeda-Moya, E., V.H. Rivera-Monroy, R.M. Chambers, X. Zhao, L. Lamb-Wotton, A. Gorsky, E.E. Gaiser, T.G. Troxler, J.S. Kominoski, and M. Hiatt. 2020. Hurricanes fertilize mangrove forests in the Gulf of Mexico (Florida Everglades, USA). PNAS. In Press.

openCC0Feb 2020View details →

Organic and inorganic data for soil cores from Brazil and Florida Bay seagrasses to support Howard et al 2018, CO2 released by carbonate sediment production in some coastal areas may offset the benefits of seagrass “Blue Carbon” storage, Limnology and Oceanography, DOI: 10.1002/lno.10621

Using piston corers, soils from Florida Bay and Brazilian seagrass meadows were collected to complete organic and inorganic carbon inventories for the top 1 m of soil. Instrumental analyses and loss on ignition at 500C were used to measure C content of downcore slices.