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Deep Learning Model Training and Validation Data for Global Floating Algae Detection
No full textThis dataset contains the training and validation data used to develop and evaluate a ResUNet deep learning (DL) segmentation model for detecting floating algae from MODIS/Aqua imagery at the global scale. The model was trained using inputs including MODIS Rayleigh corrected reflectance (Rrc) in 7 spectral bands and the Alternative Floating Algae Index (AFAI), and is capable of identifying both microalgae (phytoplankton) scums and macroalgae (seaweed) mats. These include Trichodesmium, Noctiluca, Dinoflagellates, Cyanobacteria, Sargassum, and Ulva
LANLoad NEEPP: Landscape Assessment of Nutrient Loading to Waterbodies (LANLoad) in the Northern Everglades and Estuaries Protection Program (NEEPP) region
No full textLANLoad is a geospatial screening tool designed to facilitate water quality management decisions. It provides an estimate of the relative likelihood that nutrient inputs applied at specific locations on land will impact water quality. LANLoad is based solely on physical characteristics and may be used independently or with other relevant datasets.
LANLoad NEEPP is available as a single comprehensive file "LANLoad_NEEPP_Overall" and as subsets corresponding to intersections between NEEPP and 15 FL counties.
The datasets consist of cells (10m x 10m) ranked to reflect the likelihood that nutrients applied to a given terrestrial location will reach a downgradient surface waterbody. Possible ranks range from 1 to 9 with values increasing as the likelihood of nutrient transport to downgradient surface waterbodies increases. Ranks are based on 6 physical landscape parameters selected by Subject Matter Experts (SMEs) who also assigned relative weights to each parameter using the Analytical Hierarchy Process (AHP). During this exercise, the location considered by SMEs was the pilot study area, St Lucie County, FL, and the focal nutrient source was Onsite Sewage and Treatment Disposal Systems (OSTDS). Despite the original focus on OSTDS, LANLoad NEEPP can be used to gauge the likelihood of nutrient transport to surface waterbodies from other, similar, nutrient sources. The resulting AHP model demonstrated high internal consistency (Consistency Ratio: 0.01) and resulted in the following parameter weights, in order of importance:
• Distance to Waterbody, 30.0%;
• Depth to Water, 21.6%;
• Hydraulic Conductivity, 20.7%;
• Potential for Flooding, 10.9%;
• Slope, 9.8%; and
• Surficial Karstic Deposits, 7.0%.
Geospatial datasets representative of these parameters were acquired (2024) and combined using a weighted overlay to produce LANLoad NEEPP. Details are available in a report (link below) and publication (in prep as of Jan 2026)
LANLoad NEEPP performance was evaluated at multiple locations (selected via a random stratified process) within NEEPP by classifying LANLoad ranks less than or equal to 4 as “lower” and those more than or equal to 6 as “higher”. Then, two assessment methods were applied, both conducted blind:
1) SME Review: SMEs were provided with input datasets corresponding to 30 locations and asked to assign a classification of lower or higher. There was 92 % consistency between classifications assigned by LANLoad NEEPP and those assigned by SMEs.
2) Numerical modeling: Using ArcNLET-Py, nutrient loading to surface waters from uniform inputs was modeled in 10 locations, each containing 50 model points. Classifications assigned by LANLoad were 100% consistent with those assigned through ArcNLET-Py model results, i.e., locations classified by LANload as “higher” also had the highest ArcNLET-Py modeled nutrient loads while those classified as “lower” had the lowest modeled nutrient loads.
Contact: Kai Rains – [email protected]
Studies Comparing Immunogenicity of Biosimilars and their Reference Products for the Treatment of Plaque Psoriasis.
No full textStudies comparing immunogenicity of biosimilars and their reference products that are used for the treatment of plaque psoriasis. (*) indicates when a study reported EU-reference product. ADA percentages indicate the number of patients who developed anti-drug antibodies. NAb percentages indicate the percentage of total patients who developed neutralizing antibodies
Physical and chemical surface observations in the South Indian Ocean from two uncrewed sailing vehicles
No full textThis dataset collects a record of physical and chemical observations made by two uncrewed sailing vehicles (Saildrone 1038 and Saildrone 1039) in the South Indian Ocean during 2022 and 2023. SD1038 collected data near 15°E and between latitudes 35°S and 50°S during July 19-26, 2022. SD1039 made observations within the Subantarctic Zone (37-47°S, 20-45°E) between September 1, 2022 until February 24, 2023.
The local atmospheric and surface ocean parameters measured are listed below:
-- Atmospheric measurements: temperature, pressure, humidity.
-- Seawater measurements: temperature, pressure, conductivity, salinity.
-- Carbon measurements: fCO2, xCO2, and pCO2 in atmosphere and seawater.
-- Chlorophyll measurements: concentration.
-- Oxygen measurements: concentration, saturation, ratio of O2 in water to air.
-- Wind measurements: eastward, northward, and downward speed, plus gusts and direction.
-- Wave measurements: significant wave height and dominant wave period.
-- Irradiation measurements (SD1039 only): longwave, shortwave, and PAR.
-- Current velocity measurements (SD1039 only): eastwards, northwards, and upwards, down to 102m.
-- CCMP wind estimates (hourly only): collocated to Saildrone time and location.
-- Directions of large eddies transitted (SD1039 hourly only): based on AVISO eddy database.
Four files included:
-- SD1038_1min.nc (SD1038’s raw data at 1-minute timesteps with frequent gaps)
-- SD1039_1min.nc (SD1039’s raw data at 1-minute timesteps with frequent gaps)
-- SD1038_hrly.nc (SD1038’s hourly-averaged data, plus eddies and CCMP winds)
-- SD1039_hrly.nc (SD1039’s hourly-averaged data, plus eddies and CCMP winds)
1-minute files contain the “raw” data, at all times it was collected. Because many variables were only sampled once or a few times an hour, these files include frequent gaps. Hourly files were made from the 1-minute data, averaging whatever data exists within each hour, such that few gaps in the data exist for most variables
Cruise Names, Dates, And Station Names For Marine Snow Image Collections in the NE Gulf of Mexico
No full textTable of cruise names, dates, and station names for the SIPPER camera imaging system collections of marine snow during and after the Deepwater Horizon oil spill, May 2010-August 2014, in the NE Gulf of Mexico
Karenia brevis monthly bloom frequency maps on the West Florida Shelf
No full textThis dataset provides monthly frequency maps of Karenia brevis blooms (red tides) on the West Florida Shelf, 1978-1986, 2003-2024.
It integrates data from two satellite sensors:
- CZCS-derived maps: Covering 1978-1986, based on CZCS Nimbus-7 data
- MODIS-derived maps: Covering 2003-2019, based on MODIS Aqua data
- VIIRS-derived maps: Covering 2012-2014, based on VIIRS SNPP data
Two spatial resolutions are provided:
- 1 km resolution, geographic extent: 88.0°W to 81.0°W, 23.0°N to 31.0°N
- 0.1° resolution, geographic extent: 87.5°W to 81.0°W, 25.0°N to 30.5°N
File Formats:
- TIFF (.tif): Each file contains monthly bloom frequency values ranging from 0 to 1, indicating the proportion of days within the month when a bloom was detected at each pixel. Pixels with no valid observations are marked as NaN.
- PNG (.png): Visualization-ready images using a 'jet' colormap, where values from 0 to 1 are mapped to a color gradient (blue to red) for rapid visual inspection.
Each file name follows the format:
YYYY_MM_monthly_frequency_SENSOR_RESOLUTION.EXT
Where:
YYYY_MM = year and month of observation
SENSOR = MODIS or VIIRS
RESOLUTION = 1km or 0.1deg
EXT = file extension (.tif or .png
Applications_Software To Determine Elongation Ratios And Fractal Dimensions
No full textApplications developed to determine elongation ratios and fractal dimensions of marine snow particles. App and file upload and plotting instructions using MatLab are included
Cooperation in Nature: A nature-based intervention improves collaboration and creativity
No full textData for manuscript titled "Cooperation in Nature: Nature-based intervention improves mood, creativity, collaboration, and interpersonal affiliation" Abstract: As urbanization accelerates, the cognitive effects of exposure to manmade environments and decreased time in nature become increasingly important to understand. The current study investigates the effects of real-world outdoor exposure versus simulated office-based activities on verbal creativity, mood, and collaboration. Office workers engaged in workplace collaboration either outdoors in nature or indoors in an office setting. Measures of individual affect and verbal creativity were also administered before and after a period of exposure to the assessed environments. The outdoor group showed lower self-reported negative emotions and demonstrated increased performance in one of our two verbal creativity measures. Moreover, groups exposed to nature demonstrated greater satisfaction with their collective problem-solving solutions and with the degree of influence they felt they had during the group discussions, as compared to their indoor counterparts. The current research design and results address multiple components of the Tetrahedal Model, specifically the vertices of materials, participants, contexts, and outcomes. Within the vertex of materials, this study contributes to nature-based research focused on real-world, immersive environments. This study utilizes working adult participants within the context of work-related collaboration. Finally, our findings extend Attention Restoration Theory to include other prefrontal cortex (PFC) processes, such as sensitivity to emotions, verbal creativity, and social cognition
Water Temperature in Global Lakes and Estuaries
No full textThis spreadsheet contains summer SST trends (℃/decade) for 1,505 and winter SST trends for 740 lakes and estuaries worldwide, derived from MODIS 1-km nighttime SST data during 2003–2023. For lakes, the FID corresponds to the ID used in the HydroATLAS database. Summer is defined as July–September in the Northern Hemisphere and January–March in the Southern Hemisphere, while winter is defined as January–March in the Northern Hemisphere and July–September in the Southern Hemisphere
Station Locations For SIPPER Camera Deployments In The NE Gulf Of Mexico May 2010-August 2014
No full textStation locations for SIPPER camera deployments in the NE Gulf of Mexico as part of an investigation into the impact of the Deepwater Horizon Oil Spill on the Lower Trophic Ecosystem