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Raw and processed data from manuscript figures describing contributions of transient, sustained, and diurnal fluctuations to IOP variability

Raw, processed, and fitted data from manuscript figures on effects of tetrodotoxin and superior cervical ganglionectomy on IOP.

This repository includes the data utilized in the paper “High -Resolution Magnetic Survey Using an Unoccupied Aerial Vehicle to Constrain Buried Lava Flow Geometry, Volume, and Eruptive History of Little Cones, Crater Flat, Nevada” by Van Alphen and colleagues. DOI: https://doi.org/10.3133/pp1890R. This paper contributes to a special volume by the USGS. Data were collected from October 17 to October 22, 2019, in the Craters Flat area of Nevada, United States. A Unmanned Aerial Vehicle (UAV) and the Sensys R3 MagDrone instrument were employed for data collection purposes. The procedures pertaining to data collection and processing are delineated comprehensively in the paper. The data collected on October 22 primarily pertain to the ‘fencing’ methodology. The folder, “Raw R3 Magdrone Data,” contains unaltered Sensys MagDrone format data captured during flight. No modifications were made to the preserved files. Users must have Sensys software to access this data, which cannot be shared due to licensing restrictions. The dataset is organized into folders by acquisition date, with each file corresponding to a single flight. Filenames include the data collection date and time, the magnetometer model (R3), and its serial number. The folder, “Raw R3 data in ASCII csv format," contains unaltered raw data from the Sensys R3 MagDrone in ASCII csv format, identical to the files in the instrument. It is organized similarly by acquisition dates, with filenames detailing the start date, time, magnetometer model (R3), and serial number. The data format is in the file headers. Magnetic data were collected at 200Hz, and GPS data at 5Hz. The folder “Filtered, reduced and split clean lines” contains magnetic data cleaned of outliers and divided into straight flight lines. Files are organized by day, with each line extracted based on the anticipated magnetic field direction at Craters Flat, Nevada, as described in the referenced paper. The data was filtered at 1Hz using Sensys Magdrone software, with Easting and Northing coordinates for UTM zone 11N included. Each column is described in the file header. Filenames include the flight start date, time, direction, and coordinates. Only lines in the North-South, South-North, East-West, and West-East orientations are kept; lines under 100 meters and ferry lines are excluded. The “Leveled dataset in a uniform spacing grid” contains the final dataset for the inversion process. Processing procedures are detailed in the associated paper. Data is organized on a 10-meter regular spacing grid using GMT’s surface routine with minimum curvature. Additionally, data is formatted in GMT NetCDF. The "Photogrammetry Photos and ancillary data" folder contains all the photos taken during the photogrammetry survey. The photos were taken every second but only every 5th photo was used in the DEM creation. There is also the resultant DEM from the photogrammetry model and the ground control points used to georeference the model.

Raw and processed physiological data for figures. Supplemental Information on response characteristics of ventricular and subarachnoid recording electrodes.

Raw, processed, and fitted IOP data of manuscript figures.

This dataset is the spatial distribution maps of brine shrimp cyst detected from Landsat images in Great Salt Lake (1984-2024).

This replication package reproduces all tables and figures in "Old But Gold: Historical Pathways and Path Dependence." It contains the analysis-ready datasets (municipality, mining census area, and census wage microdata panels, together with auxiliary historical series on population, GDP, crops, railroads, and roads), the digitized shapefiles for colonial gold roads, least-cost-path instruments, administrative boundaries, and highways, and the R and Julia scripts that build the tables, regression output, and maps from these inputs. Running MakeFiles.R executes the full pipeline and writes results to tables/ and figures/.

This dataset contains the detailed Methods and Results for the following paper: “Sargassum Watch System: an online tool to address societal needs” by the same authors of this dataset. Specifically, the dataset contains the following files: SaWS_Google_Analysitcs_Methods.docx SaWS_Google_Analysitcs_Results.xlsx These are the methods of using Google Analytics to generate Web access statistics, and the corresponding statistics. SaWS_Literature_Review_Methods.docx SaWS_Literature_Review_Results.xlsx These are the methods of conducting literature review, and the corresponding review results including the publication title and author names as well as how they are related to SaWS. SaWS_Media_Coverage_Methods.docx SaWS_Media_Coverage_Results.xlsx These are the methods of searching for relevant public media coverage (both online and print, in both English and Spanish), and the corresponding search results on how SaWS or the personnel behind SaWS were cited by the public media. SaWS_Survey_Questions.docx SaWS_Survey_Answers_anonymized.xlsx SaWS_Survey_User_Quotes_anonymized.docx These are the methods to conduct an online survey, along with the survey questions. The Excel file contains all detailed answers to the survey questions, with names and email addresses anonymized to protect privacy. The last file contains user narratives on how SaWS was used by them or by their organizations. To protect privacy, all user names are anonymized.

This dataset provides satellite-derived chlorophyll-a (Chla) and turbidity (Turb) maps for the Indian River Lagoon system (Florida, USA) at high spatial resolution (20 m), generated from Sentinel-2 Multispectral Imager (MSI) observations for the period 2016–2023. The data were derived using regionally optimized algorithms developed for optically complex waters, with rigorous quality control applied to satellite–in situ matchups and a dynamic optically shallow water mask applied to daily imagery. Monthly and annual products are provided in GeoTIFF format. The geographic extent covers the Indian River Lagoon system (Mosquito Lagoon, Banana River Lagoon, and the Indian River Lagoon) along the east coast of Florida, USA. All products were generated from publicly available Sentinel-2 data provided by the European Space Agency (Copernicus program). Detailed methods are described in a manuscript currently under review. In addition to the datasets archived here, daily Chla_MSI and Turb_MSI imagery can be accessed through https://optics.marine.usf.edu under “Satellite Data Products” > “High Resolution”.

Summary: This dataset contains molecular dynamics simulation inputs, outputs, and selected analysis data for an attractive Kremer-Grest bead-spring polymer glass-former. The simulations were first reported in: Hung, J.-H., Patra, T. K., Meenakshisundaram, V., Mangalara, J. H. & Simmons, D. S. Universal localization transition accompanying glass formation: insights from efficient molecular dynamics simulations of diverse supercooled liquids. Soft Matter 15, 1223-1242 (2018). That publication and this dataset should be cited in any publication using these data. Simulated system: The system is an attractive Kremer-Grest bead-spring polymer with 12-6 Lennard-Jones interactions truncated at 2.5 sigma, 8000 total beads, and 20 beads per chain, simulated at a constant pressure of 0. Simulations targeted alpha relaxation times approaching 10^7 Lennard-Jones time units. The thermal protocol was based on the Predictive Stepwise Quench Algorithm (PreSQ). This dataset merges elements of two independent runs of that protocol, denoted 000 and 001. Contents: The archive includes simulation inputs and outputs for generation, quench, equilibration, and production elements, together with selected analysis data. The simulations/ directory contains workflow subdirectories, Packmol inputs, and LAMMPS input templates. Production outputs are in simulations/production/ and include exponentially spaced custom LAMMPS trajectories collected during isothermal production simulations. Production trajectories are provided as a compressed tarball. For users wishing to simply make use of these trajectories to study the system's physics, these will be the most important files, together with the associated production log files specifying the time scheme. Trajectories from other simulation elements are provided in compressed LAMMPS xyz tarballs. Analysis results generated using AMDAT are in the analysis/ directory. The AMDAT analysis package, which can be readily used to further analyze these files, can be found here: https://github.com/dssimmons-codes/AMDAT. Temperatures are encoded in filenames as a 6- to 7-digit number following the capital letter T; the reduced Lennard-Jones temperature is obtained by dividing this number by 1,000,000. Additional documentation, including directory structure, file conventions, and interpretation of equilibrium status, is provided in the dataset README. Caution: Not all temperatures with archived outputs are necessarily in equilibrium. Temperatures identified by PreSQ as satisfying equilibrium criteria are listed in analysis/fit_data. For each replicate, the Regime8 file reports the temperatures and relaxation times accepted as in equilibrium.