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155 results for “South Florida”
FCE Redlands 1994 Land Use, Miami-Dade County, South Florida
Urban growth models have increasingly been used by planners and policy makers to visualize, organize, understand, and predict urban growth. However, these models reveal a wide disparity in their attention to policy factors. Some urban growth models capture few if any specific policy effects (e.g.,as model variables), while others integrate certain policies but not others. Since zoning policies are the most widely used form of land use control in the United States, their conspicuous absence from so many urban growth models is surprising. This research investigated the impacts of zoning on urban growth by calibrating and simulating a cellular automaton urban growth model, SLEUTH, under two conditions in a South Florida location. The first condition integrated restrictive agricultural zoning into SLEUTH, while the other ignored zoning data. Goodness of fit metrics indicate that including the agricultural zoning data improved model performance. The results further suggest that agricultural zoning has been somewhat successful in retarding urban growth in South Florida. Ignoring zoning information is detrimental to SLEUTH performance in particular, and urban growth modeling in general.
FCE Redlands 1998 Land Use, Miami-Dade County, South Florida
Urban growth models have increasingly been used by planners and policy makers to visualize, organize, understand, and predict urban growth. However, these models reveal a wide disparity in their attention to policy factors. Some urban growth models capture few if any specific policy effects (e.g.,as model variables), while others integrate certain policies but not others. Since zoning policies are the most widely used form of land use control in the United States, their conspicuous absence from so many urban growth models is surprising. This research investigated the impacts of zoning on urban growth by calibrating and simulating a cellular automaton urban growth model, SLEUTH, under two conditions in a South Florida location. The first condition integrated restrictive agricultural zoning into SLEUTH, while the other ignored zoning data. Goodness of fit metrics indicate that including the agricultural zoning data improved model performance. The results further suggest that agricultural zoning has been somewhat successful in retarding urban growth in South Florida. Ignoring zoning information is detrimental to SLEUTH performance in particular, and urban growth modeling in general.
FCE Redlands 1998 Roads, Miami-Dade County, South Florida
Urban growth models have increasingly been used by planners and policy makers to visualize, organize, understand, and predict urban growth. However, these models reveal a wide disparity in their attention to policy factors. Some urban growth models capture few if any specific policy effects (e.g.,as model variables), while others integrate certain policies but not others. Since zoning policies are the most widely used form of land use control in the United States, their conspicuous absence from so many urban growth models is surprising. This research investigated the impacts of zoning on urban growth by calibrating and simulating a cellular automaton urban growth model, SLEUTH, under two conditions in a South Florida location. The first condition integrated restrictive agricultural zoning into SLEUTH, while the other ignored zoning data. Goodness of fit metrics indicate that including the agricultural zoning data improved model performance. The results further suggest that agricultural zoning has been somewhat successful in retarding urban growth in South Florida. Ignoring zoning information is detrimental to SLEUTH performance in particular, and urban growth modeling in general.
FCE Redlands 2006 Land Use, Miami-Dade County, South Florida
Urban growth models have increasingly been used by planners and policy makers to visualize, organize, understand, and predict urban growth. However, these models reveal a wide disparity in their attention to policy factors. Some urban growth models capture few if any specific policy effects (e.g.,as model variables), while others integrate certain policies but not others. Since zoning policies are the most widely used form of land use control in the United States, their conspicuous absence from so many urban growth models is surprising. This research investigated the impacts of zoning on urban growth by calibrating and simulating a cellular automaton urban growth model, SLEUTH, under two conditions in a South Florida location. The first condition integrated restrictive agricultural zoning into SLEUTH, while the other ignored zoning data. Goodness of fit metrics indicate that including the agricultural zoning data improved model performance. The results further suggest that agricultural zoning has been somewhat successful in retarding urban growth in South Florida. Ignoring zoning information is detrimental to SLEUTH performance in particular, and urban growth modeling in general.
FCE Redlands 2006 Roads, Miami-Dade County, South Florida
Urban growth models have increasingly been used by planners and policy makers to visualize, organize, understand, and predict urban growth. However, these models reveal a wide disparity in their attention to policy factors. Some urban growth models capture few if any specific policy effects (e.g.,as model variables), while others integrate certain policies but not others. Since zoning policies are the most widely used form of land use control in the United States, their conspicuous absence from so many urban growth models is surprising. This research investigated the impacts of zoning on urban growth by calibrating and simulating a cellular automaton urban growth model, SLEUTH, under two conditions in a South Florida location. The first condition integrated restrictive agricultural zoning into SLEUTH, while the other ignored zoning data. Goodness of fit metrics indicate that including the agricultural zoning data improved model performance. The results further suggest that agricultural zoning has been somewhat successful in retarding urban growth in South Florida. Ignoring zoning information is detrimental to SLEUTH performance in particular, and urban growth modeling in general.
FCE Redlands 2001 Land Use, Miami-Dade County, South Florida
Urban growth models have increasingly been used by planners and policy makers to visualize, organize, understand, and predict urban growth. However, these models reveal a wide disparity in their attention to policy factors. Some urban growth models capture few if any specific policy effects (e.g.,as model variables), while others integrate certain policies but not others. Since zoning policies are the most widely used form of land use control in the United States, their conspicuous absence from so many urban growth models is surprising. This research investigated the impacts of zoning on urban growth by calibrating and simulating a cellular automaton urban growth model, SLEUTH, under two conditions in a South Florida location. The first condition integrated restrictive agricultural zoning into SLEUTH, while the other ignored zoning data. Goodness of fit metrics indicate that including the agricultural zoning data improved model performance. The results further suggest that agricultural zoning has been somewhat successful in retarding urban growth in South Florida. Ignoring zoning information is detrimental to SLEUTH performance in particular, and urban growth modeling in general.
FCE Redlands 2008 Slope Mosaic, Miami-Dade County, South Florida
Urban growth models have increasingly been used by planners and policy makers to visualize, organize, understand, and predict urban growth. However, these models reveal a wide disparity in their attention to policy factors. Some urban growth models capture few if any specific policy effects (e.g.,as model variables), while others integrate certain policies but not others. Since zoning policies are the most widely used form of land use control in the United States, their conspicuous absence from so many urban growth models is surprising. This research investigated the impacts of zoning on urban growth by calibrating and simulating a cellular automaton urban growth model, SLEUTH, under two conditions in a South Florida location. The first condition integrated restrictive agricultural zoning into SLEUTH, while the other ignored zoning data. Goodness of fit metrics indicate that including the agricultural zoning data improved model performance. The results further suggest that agricultural zoning has been somewhat successful in retarding urban growth in South Florida. Ignoring zoning information is detrimental to SLEUTH performance in particular, and urban growth modeling in general.
FCE Redlands 2001 Zoning, Miami-Dade County, South Florida
Urban growth models have increasingly been used by planners and policy makers to visualize, organize, understand, and predict urban growth. However, these models reveal a wide disparity in their attention to policy factors. Some urban growth models capture few if any specific policy effects (e.g.,as model variables), while others integrate certain policies but not others. Since zoning policies are the most widely used form of land use control in the United States, their conspicuous absence from so many urban growth models is surprising. This research investigated the impacts of zoning on urban growth by calibrating and simulating a cellular automaton urban growth model, SLEUTH, under two conditions in a South Florida location. The first condition integrated restrictive agricultural zoning into SLEUTH, while the other ignored zoning data. Goodness of fit metrics indicate that including the agricultural zoning data improved model performance. The results further suggest that agricultural zoning has been somewhat successful in retarding urban growth in South Florida. Ignoring zoning information is detrimental to SLEUTH performance in particular, and urban growth modeling in general.
FCE Redlands 1994 Land Use, Miami-Dade County, South Florida
Urban growth models have increasingly been used by planners and policy makers to visualize, organize, understand, and predict urban growth. However, these models reveal a wide disparity in their attention to policy factors. Some urban growth models capture few if any specific policy effects (e.g.,as model variables), while others integrate certain policies but not others. Since zoning policies are the most widely used form of land use control in the United States, their conspicuous absence from so many urban growth models is surprising. This research investigated the impacts of zoning on urban growth by calibrating and simulating a cellular automaton urban growth model, SLEUTH, under two conditions in a South Florida location. The first condition integrated restrictive agricultural zoning into SLEUTH, while the other ignored zoning data. Goodness of fit metrics indicate that including the agricultural zoning data improved model performance. The results further suggest that agricultural zoning has been somewhat successful in retarding urban growth in South Florida. Ignoring zoning information is detrimental to SLEUTH performance in particular, and urban growth modeling in general.
Mangrove Litterfall from the Shark River Slough and Taylor Slough, Everglades National Park (FCE), South Florida, USA, January 2001 - ongoing
Monthly litterfall data is being collected in two mangrove-dominated regions (Shark River and Taylor Slough) in South Florida. Three sites (SRS4, SRS5, SRS6) in the Shark River region and one site (TS/Ph8) in the Joe Bay area region were used to characterize patterns of litterfall production. At each mangrove site 10 litter baskets (0.5 x 0.5 m) were placed in two 20 x 20 m plots (five baskets per plot). Data have been collected since January 2001. Statistical analysis is being performed. See also Shark River mangrove litterfall carbon and nutrients data package knb-lter-fce.1266 (https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-fce&identifier=1266).
DIC and DOC 13C tracer data from Shark River Slough and Harney River (FCE), Everglades, South Florida in November 2011
As part of the larger NSF WSC funded project, an SF6 tracer study was conducted in November of 2011 by working groups form ENP, FIU and Univ. of Hawaii. This work included the release of the tracer (SF6), which was sampled in a lagrangian approach as the tracer “patch” moved from the fresh water portion of the system to the mangrove ecotone along the Shark and Harney Rivers. The goal of this study was to measure carbon export through the system. Annie Palya used our new CRDS system to measure the isotopic composition (d13C) of the DOM & DIC (analyzed at RSMAS) during this study, as carbon isotopes may help to resolve different sources of carbon. This analytical approach is relatively new, and will be important for understanding the C-dynamics within the FCE.
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.
Dissolved Organic Carbon Stable Isotopes and Lignin Phenols from Everglades National Park (FCE LTER), South Florida, USA, January 2019 - ongoing
Estuarine and coastal waters are home to more than half of the world's population and provide many social and economic benefits to society. Additionally, these ecosystems are sites of intense carbon cycling and are under pressure from changing land uses and climate. DOM is functionally defined as the OM passed through a 0.7 µm borosilicate glass fiber filter (GF/F) and is primarily made up of viruses, bacteria, colloids, lignins, humic substances, organic acids, and other small organic compounds (Repeta, 2015). Approximately 50% of DOM is generally considered to be dissolved organic carbon (DOC) (Stedmon and Nelson, 2015). Thus, DOC can be used as a proxy for quantifying DOM. Whole water samples were collected monthly from three different transects representing marl-dominated (Taylor Slough), peat-dominated (Shark River Slough), and seagrass-dominated (Florida Bay) environments. The water was filtered using 0.7 µm porosity glass fiber filters, then acidified to pH 2 and stored at 4°C until processing occurred. DOC concentration and the stable isotope ratio of DOC (δ13C-DOC) was measured on an OI Analytical TOC analyzer coupled to an Agilent Delta V plus Isotope Ratio Mass Spectrometer using high-temperature combustion (Lalonde et al., 2014). Dissolved vanillyl (vanillin, acetovanillone, vanillin acid), syringyl (syringaldehyde, acetosyringone, syringic acid), cinnamyl (p-coumaric acid, ferulic acid), and 3,5-hydroxybenzoic acid lignin phenols were isolated from ~2 liters of 0.7 µm filtered, acidified (pH 2) water by solid phase extraction (SPE) using 1g PPL cartridges that were pre-conditioned using pH 2 water and methanol. SPE cartridges were extracted using methanol, then dried and redissolved in 2N NaOH. Cupric oxide oxidation and liquid-liquid ethyl acetate extraction were used to extract lignin oxidation products (Hedges and Ertel, 1982, modified by Goñi and Hedges, 1995; Louchouarn et al., 2000; Goñi and Montgomery, 2000; Benner and Kaiser, 2011). Briefly, NaO
NOAA Daily Surface Meteorologic Data at NCDC Flamingo Ranger Station (ID-083020) (FCE), South Florida, USA, January 1951 - January 2021
The National Climatic Data Center's (NOAA) daily mean, maximum, and minimum air temperatures and daily precipitation collected at Flamingo Station (Coop ID- 083020). This site was terminated in January 2021.
NOAA Daily Surface Meteorologic Data at NCDC Miami International Airport Station (ID-085663), South Florida, USA, January 1948 - ongoing
The National Climatic Data Center's (NOAA) daily mean, maximum, and minimum air temperatures and daily precipitation collected at Miami International Airport Station (Coop ID- 085663).
NOAA Daily Surface Meteorologic Data at NCDC Royal Palm Ranger Station (ID-087760)(FCE LTER), South Florida, USA, May 1949 - ongoing
The National Climatic Data Center's (NOAA) daily mean, maximum, and minimum air temperatures and daily precipitation collected at Royal Palm Ranger Station (Coop ID- 087760).
Water Levels from the Taylor Slough, Everglades National Park (FCE LTER), South Florida from April 1996 to 2012
Data is a compilation of 15 minute data into daily averages for use with other FCE-LTER datasets. For original dataset Meta-data and other information please visit the South Florida Information Access (SOFIA) website at https://archive.usgs.gov/archive/sites/sofia.usgs.gov/index.html (the current URL as of March 2020)
Periphyton Productivity from the Shark River Slough and Taylor Slough, Everglades National Park (FCE LTER), South Florida, USA, October 2001 - October 2024
Periphyton productivity was measured annually at FCE LTER sites in Florida Bay and Shark Slough using light and dark BOD bottle incubations. Data are presented in terms of mass oxygen and/or carbon produced/consumed per gram of periphyton and per m2 of marsh. This is part of continuous data collection to test the hypothesis that phosphorus and nitrogen limit productivity at the upstream and downstream ends, respectively, of the FCE transects. Conclusions await longer-term data collection. Data collection is complete.
Periphyton Accumulation Rates from Shark River Slough, Taylor Slough and Florida Bay, Everglades National Park (FCE LTER), South Florida, USA, January 2001 - ongoing
Periphyton accumulation rates were measured quarterly at FCE LTER sites in SRS and TS/Ph marshes (SRS 1-3, TS/Ph 1-3) and the seagrass meadows of Florida Bay (TS/Ph 9-11). Glass slides were used as artificial substrates for periphyton growth. Twenty slides were incubated for 2 months in triplicate periphytometers (flow-through plastic boxes) at the surface (marsh sites) and bottom (seagrass sites) at each site. In addition, at seagrass sites, twelve artificial seagrass blades were incubated for two months in triplicate at each site. Blades were made from strips of transparency film anchored to the bottom and floating upward toward the surface by use of a styrofoam bead on the top of the blade. Data are presented in terms of grams dry and ash-free dry mass accumulated per area per time, as well as the chlorophyll a content of the dry mass and its rate of accumulation. Total phosphorus content of accumulated periphyton is also provided. This is part of continuous data collection to test the hypothesis that phosphorus availability and hydroperiod influence periphyton production in the Everglades.
Periphyton Biomass Accumulation from the Shark River and Taylor Sloughs, Everglades National Park (FCE LTER), South Florida, USA, January 2003 - ongoing
Periphyton biomass was measured quarterly at three replicate locations (1, 2, and 3) at FCE LTER marsh sites (SRS 1-3; TS/Ph 1-3). A 1-m2 plot was placed in the marsh and percent cover of periphyton was visually estimated, including cover on the water surface (floating), plant stems (epiphytic), and on the bottom (benthic). Periphyton was then harvested from the quadrats into a 2000 ml perforated graduated cylinder and the volume measured. A 120-ml subsample was removed and taken back to the laboratory for analysis. Data provided include percent cover by substrate, dry, ash, and ash-free dry mass per area, chlorophyll a per gram ash-free dry mass and per area, and the total phosphorus, nitrogen and carbon concentration on a dry weight basis. This is part of a continuous data collection to test the hypothesis that phosphorus and hydrology interact to influence periphyton abundance in Everglades marshes.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.