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Supplement videos for manuscript Impacts of storm "Zyprian" on middle and upper atmosphere observed from Central European stations

Supplement video material for the manuscript Impacts of storm “Zyprian” on middle and upper atmosphere observed from Central European stations. It contains loop of MSG satellite observation and infrasound animations.

Self-organizing map of electron-impact mass-spectra

This text file is a self-organising map (256 x 256 grid units) of mass spectra. The mass spectra are stored as a continuous list. In the file, consecutive sets of 256 rows in the file are one row of the map (each row has 256 grid units). After every 256th row in the file, a new map row begins (256 rows in total). The mass spectra are electron-impact mass-spectra, as they are typically recorded in gas chromatography. The resolution is unit mass, the spectral range is limited to 29 - 200 m/z, and the spectral intensities are normalized. The mass spectra were collected from the Mass Bank of North America (MassBank of North America. <a href="https://mona.fiehnlab.ucdavis.edu/">https://mona.fiehnlab.ucdavis.edu/</a> (accessed 2018-07-05)) and are used under a CC-BY 4.0 license.

The production population of impact craters in the Chang'E-6 landing mare

The uploaded file contains the statistical results from various regions within the Chang'E-6 landing mare for the manuscript titled "The Production Population of Impact Craters in the Chang'E-6 Landing Mare" . The data included in this file directly supports the statistical analysis and conclusions presented in the manuscript. The results were exported using CraterTools in ArcGIS and are provided in an SCC file format, which contains information of both the defined counting areas and the collected craters. These SCC files can be used to construct crater size-frequency distributions of production populations on the Chang'E-6 landing mare, thereby assisting in the study of the evolution history of local crater populations.

opencc-by-4.0Oct 2023View details →

Simulations in Support of "The Impact of Cloud Microphysics and Ice Nucleation on Southern Ocean Clouds"

Single column model simulations in support of manuscript: The Impact of Cloud Microphysics and Ice Nucleation on Southern Ocean CloudsEach simulation is a zip file with prognostic and diagnostic variable outputs as NetCDF files in each zip file. Includes sensitivity tests, timestep tests and baseline simulations used in the paper.

opencc-by-nc-4.0Apr 2024View details →

Data and codes from: Orchards and paddy differentially impact rock outcrop amphibians: Insights from community- and species-level responses

<div> <div> This project contains data and codes from a study investigating the responses of rock outcrop amphibians to land-use change in the lateritic plateaus of the northern Western Ghats, at the community-level and at species-level. Species Coverage: Duttaphrynus melanostictus, Euphlyctis jaladhara, Hoplobatrachus tigerinus, Minervarya cepfi, Minervarya gomantaki, Minervarya syhadrensis, Sphaerotheca dobsonii, Gegeneophis seshachari, Microhyla nilphamariensis, Uperodon mormoratus, Hydrophylax bahuvistara, Polypedates maculatus. Geographic Coverage: Bakale, Devache Gothane, Devi Hasol and Gaonkhadi plateus of Ratnagiri District, Maharashtra State, India. (16°31’–16°48’N; 73°19–73°29’E) Temporal Coverage: June, July, August, September (2022).   Methods: <div> <div> Nighttime belt (100 × 6 m2) transect surveys were conducted (four temporal replicates), and at each 20 m point during each temporal replicate, in a 3-m radius circular subplot, the observer recorded the microhabitat variables. We calculated pool volume by multiplying the pool depth with the length (longest dimension) and width (second longest dimension) of the pool. We calculated stream cross-sectional volume within the subplot by multiplying the maximum depth and subplot diameter. The percentages of woody vegetation, flush vegetation, and grass cover were visually estimated. The finest level of spatial data was at the subplot level, which is the 20× 6 m2 segment of the transect and the associated circular plot from where we collected the amphibian abundance and microhabitat data respectively. For details about the microhabitat variables associated descriptions and untis, refer to the preprint and supplementary materials (<a href="https://doi.org/10.1101/2023.10.03.560737" target="_blank" rel="noopener">https://doi.org/10.1101/2023.10.03.560737</a> ). </div> </div>   Funding: <ol> <li>On the Edge (UK)</li> <li>The Habitats Trust (India)</li> <li>The Bombay Environmental Action Group (India)</li> </ol>   </div> </div>

Steelquist et al., 2024 - The impact of bedrock meander cutoffs on 50 kyr-scale incision rates, San Juan River, Utah -- Datasets

Datasets used in Aaron T. Steelquist, Gustav B. Seixas, Mary L. Gillam, Sourav Saha, Seulgi Moon, and George E. Hilley, 2024, The impact of bedrock meander cutoffs on 50 kyr-scale incision rates, San Juan River, Utah, Earth Surface Dynamics

opencc-zeroSep 2024View details →

The Data for 'Impact of Systematic Modeling Uncertainties on Kilonova Property Estimation'

Produced synthetic kilonova spectra for 'Impact of Systematic Modeling Uncertainties on Kilonova Property Estimation' using the Sedona radiative transfer code. Each model is an h5 file with the following groups: <ul> <li>Lnu - Array of length # of timesteps by # of frequency bins that contains the spectral sequence of each kilonova model in cgs units (erg/s/Hz)</li> <li>click - Array of length # of timesteps by # of frequency bins for the number of Monte Carlo particles that make up Lnu</li> <li>mu - Center of polar angular bins (not useful since simulations are 1D)</li> <li>mu_edges - Edges of polar angular bins (not useful since simualtions are 1D)</li> <li>nu - Array of length # of frequency bins that are the central frequencies of a bin (Hz)</li> <li>nu_edges - Array of length # of frequency bins +1 that are the edges of each frequency bin (Hz)</li> <li>phi - Center of azimuthal angular bins (not useful since simulations are 1D)</li> <li>phi_edges - Edges of azimuthal angular bins (not useful since simulations are 1D)</li> <li>time - Times at which each spectrum was generated (Days)</li> <li>time_edges - Edges of time bins (Days)</li> </ul> Each kilonova spectra file is named according to <atomic dataset>_<thermalization prescription>_KN_<lanthanide fraction>X_lan_<characteristic velocity>v_<mass>M_1D_spec.h5 where: <ul> <li>atomic dataset is one of: HULLAC, ATOMIC, or Autostructure</li> <li>thermalization prescription is one of: local or global</li> <li>lanthanide fraction is the fraction of lanthanides in the ejecta by mass</li> <li>characteristic velocity is the kinetic velocity of the ejecta in units of the speed of light</li> <li>mass is the mass of the ejecta in units of solar masses</li> </ul>

FIG. 6. Stream temperatures from one East Fork site and two West Fork sites measured 15 January 2020 through 15 February 2020 in Impacts of Wastewater Effluent on Temperate Stream Fish Assemblage Structure

FIG. 6. Stream temperatures from one East Fork site and two West Fork sites measured 15 January 2020 through 15 February 2020. East Fork site temperature is represented by a solid gray line, and temperatures from West Fork sites are represented by a black dotted line for the WWTP "outfall" and a black dashed line for the further downstream site.

FIG. 3 in Impacts of Wastewater Effluent on Temperate Stream Fish Assemblage Structure

FIG. 3. nMDS based on Bray-Curtis similarity, depicting fish assemblage relationships among all study sites (West Fork: black triangles represent individual sites and the dark shaded hull encompasses sites; East Fork: gray circles represent individual sites and the light shaded hull encompasses sites). Upper panel depicts relationships among all 26 summer samples; lower panel depicts relationships among all summer samples and the four sites revisited during the following winter. Sites revisited are labeled ending with "w."

FIG. 2 in Impacts of Wastewater Effluent on Temperate Stream Fish Assemblage Structure

FIG. 2. Rarefied species richness within both the East and West Forks. Solid lines represent interpolation of species accumulation and dashed lines represent extrapolation of species richness if additional individuals were to be captured (gray ¼ East Fork; black ¼ West Fork). The black triangle represents observed species richness in the West Fork, and the gray circle represents observed richness in the East Fork. 95% confidence intervals are depicted for both accumulation curves.

FIG. 5 in Impacts of Wastewater Effluent on Temperate Stream Fish Assemblage Structure

FIG. 5. Principal component analyses illustrating abiotic relationships among sites in both the East and West Forks. Upper panel depicts the abbreviated dataset (i.e., only includes the 13 sites where all abiotic variables were collected). Measures of depth and % gravel best explained variation represented by PC1 (i.e., values increase towards the positive), and discharge and % pebble explained variation represented by PC2. Lower panel depicts substrate relationships among all 26 sites. PC1 explains variation in % gravel and % cobble among sites, whereas PC2 explains variation in % pebble and further % gravel variation among sites. For both panels, West Fork sites are represented by black triangles and are encompassed by the dark shaded hulls and East Fork sites are represented by gray circles and are encompassed by the lighter shaded hulls.

FIG. 1. Map depicting the 26 in Impacts of Wastewater Effluent on Temperate Stream Fish Assemblage Structure

FIG. 1. Map depicting the 26 sites sampled in the East (n ¼ 10, gray circles) and West (n ¼ 16, black circles) Forks of the Niangua River during the study. The three circles with X's represent the sites where temperature loggers were deployed, and the WWTP outfall is located immediately south of W1 (right). Map inset (upper left) depicts the location of Missouri in the U.S., and inset (lower left) shows the location of the upper Niangua River drainage in Missouri.

FIG. 4 in Impacts of Wastewater Effluent on Temperate Stream Fish Assemblage Structure

FIG. 4. Relationships between abundance of C. bairdii (per site) and upstream site distances (km) from the lower confluence (with the Niangua River proper). West Fork sites are depicted with black triangles, and East Fork sites are depicted as gray circles. Linear trend lines show relationships in each fork and further illustrate findings from ANCOVA.

ASSESSING THE IMPACT OF AGROINDUSTRY AND EXTRACTIVISM ON DEFORESTATION IN THE BRAZILIAN LEGAL AMAZON

Database to investigate the interrelationship between deforestation in the Legal Amazon, agroindustry and extractivism in the period from 1988 to 2022.

opencc-by-4.0Jun 2024View details →

Video Footage for UAV Icing: Impact Testing of Ice Fragments on a Propeller

This dataset contains video material in support of the following publication: Hann, R., Müller, N.C., Wallisch, J. (2024). <a href="https://folk.ntnu.no/richahan/Publications/2024_Aviation_Hann_Ice%20impact.pdf">UAV Icing: Impact Testing of Ice Fragments on a Propeller</a>. AIAA 2024-4352. AIAA Aviation Forum and Ascend. doi.org/10.2514/6.2024-4352   https://folk.ntnu.no/richahan/Publications/2024_Aviation_Hann_Ice%20impact.pdf

SEP list and effective dose of paper "The radiation impact of Solar Energetic Particle Events on the Moon: A statistical study using data-based modeling results"

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Irrigation water salinity impacts Date palm leaf fungi

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Supplementary data for the publication: 'Impact of ice topography, basal channels and subglacial discharge on basal melting under the floating ice tongue of 79N Glacier, northeast Greenland'

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Impact of oxygen fugacity on the atmospheric structure and emission spectra of ultra-hot rocky exoplanets

Data and simulation results for the paper "Impact of oxygen fugacity on the atmospheric structure and spectra of ultra-hot rocky exoplanets", Seidler et al. 2024, A&A. This project contains the HELIOS output files, some auxillary information as well as the python scripts used to generate the figures.

Dataset for "Mars' axial and reversing dynamo recorded in a magnetized impact crater 4.2 billion years ago"

This dataset is for the research titled "Mars’ axial and reversing dynamo recorded in a magnetized impact crater 4.2 billion years ago". <ul> <li>Please ensure that all files are placed in the same directory</li> <li>ESD.m contains all the procedures needed to invert crustal magnetization from crustal magnetic field data. </li> <li>The remaining files are crustal magnetic field datasets generated by IDL, which are used as input for ESD.m.</li> <li>For MATLAB users, it is necessary to install the restore_idl package to read these IDL-generated files within MATLAB.</li> </ul> Don't hesitate to email me (jfqin@berkeley.edu) if you have any trouble running this code.