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124 results for “crust”
Carbon exchange responses of rehydrated and incubated biological soil crust samples from White Sands National Park in 2020-2022
This dataset contains photosynthetic light response data from biological soil crusts collected from a gypsum sand sheet at White Sands National Park, NM, USA in three different seasons. This study aims to 1) assess the carbon fixation capacity of biocrust types; 2) assess biocrust carbon fixation response under varying incubation times; 3) and understand variability in carbon fixation response in different seasons. Sample collection occurred in July 2020 (summer), September 2021 (fall), and March 2022 (winter). The biocrust types of interest were light cyanobacterial, dark cyanobacterial, Peltula lichen, Clavascidium lichen, and moss crusts. Samples were collected with the intention of taking carbon fixation measurements after different incubation periods (30 min, 2 hr, 6 hr, 12hr, or 24 hr in 2020, and 30 min, 2 hr, 6 hr, 12hr, 24 hr, or 36 hr in 2021 and 2022). For each condition (biocrust type and incubation time) there were five replicates in 2020 (total n=125) and ten replicates in 2021 and 2022 (total n=300). After collection, the intact samples were re-wetted and subjected to their respective incubation period and measured for photosynthetic response. The resulting light response curves and photosynthetic information was be used for comparing biocrust type, incubation time response differences, and seasonal variation to understand variability of biocrust carbon flux response at a single site. This data set includes the light response curve values and photosynthetic data calculated from these curves and raw LICOR output files compiled into 3 spreadsheet files. The included 2020 data is also associated with the White Sands National Park data from Jornada Study 549. This dataset accompanies the in-press article by Hoellrich et al. (2023) cited below, and the study is now complete. Hoellrich, Mikaela R., Darren K. James, David Bustos, Anthony Darrouzet-Nardi, Louis S. Santiago, and Nicole Pietrasiak. "Biocrust carbon exchange varies with crust type and time on Ch
Cover and frequency of biological soil crust community types, moss species, vascular plants, and abiotic land surface features, on gypsum & non-gypsum soils from the Chihuahuan and Mojave Deserts in 2023
This dataset contains raw and calculated percent cover and frequency data for biological soil crust (hereafter biocrust) functional groups, vascular plant functional groups, and abiotic land surface features on and off gypsum soils in the northern Chihuahuan and eastern Mojave Deserts. Abundance data were obtained from 20 study sites total, 10 located on soils derived from gypsum parent material and 10 located on soils derived from non-gypsum parent materials. Sites were grouped into 10 pairs, in which every gypsum site was partnered with a non-gypsum site located in the same region. Apart from soil type, partnered-site characteristics (topography, climate, elevation, slope, aspect, and presence of biocrusts) were held relatively constant. At each site, cover and frequency assessments were made using the line-point intercept method (LPI) and frequency quadrats (1.0 m^2), respectively. Biocrust functional groups included the following crusts: lichen, moss, incipient algal, light algal, dark algal, unknown photosynthetic crust, and vagrant cyanobacteria. Vascular plant categories included: perennial forbs, perennial graminoids, annual forbs, annual graminoids, subshrub, shrub, Yucca, and cacti. Abiotic land surface features included: woody litter, herbaceous litter, bare soil, rock, bedrock, and animal feces. Moss crusts identified within cover and frequency analyses were sampled, and classified to species level via microscopy. The resulting percent cover and frequency data was used to understand differences in biocrust and moss species abundance and diversity on and off gypsum soils; furthermore, how biocrust and moss species abundance was associated with the measured environmental variables. Soil physical and chemical data from this study can be accessed at knb-lter-jrn.210616002. This study and dataset are complete.
Dataset: Mapping intrinsic and scattering attenuation in the southern Aegean crust using S-wave envelope inversion and sensitivity kernels derived from perturbation theory
<p><strong>Data Set S1: </strong>File “ds01.csv” contains the catalogue of relocated events used in this study. The columns in the file represent origin time (in year-month-day’H’hour’M’minute’S’seconds format), event longitude, event latitude, event depth in a sequential manner.</p> <p><strong>Data Set S2: </strong>File “ds02.zip” contains four ASCII data files (ray_prmtrs12.txt, ray_prmtrs24.txt, ray_prmtrs48.txt and ray_prmtrs816.txt). The data files contain scattering coefficient (<em>g<sup>*</sup></em>) and intrinsic coefficient (<em>b</em>) values in 1-2, 2-4 Hz, 4-8 Hz and 8-16 Hz bands respectively. The columns in the text files represent event latitude, event longitude, event depth, station latitude, station longitude, station velocity, envelope duration, <em>g<sup>*</sup></em>, <em>b</em>, early-S window length, percentage error in early-S window, percentage error for full envelope, and event origin time in a sequential manner.</p> <p><strong>Data Set S3: </strong>File “ds03.zip” contains four data files (envnodes15g_3_3_1-2.txt, envnodes15g_3_3_2-4.txt, envnodes15g_3_3_4-8.txt, and envnodes15g_3_3_8-16.txt), one BASH script containing GMT and Octave commands (Qs_envg.gmt), and a lat-long coordinate file (SAegean_poly_coord_extnd.txt) to mask the area outside the seismic network. The data files contain log<sub>10</sub>(<em>Q<sub>sc</sub></em><sup>-1</sup>) values in 1-2, 2-4, 4-8 and 8-16 Hz bands respectively. The columns in the text files represent node latitude, node longitude and log<sub>10</sub>(<em>Q<sub>sc</sub></em><sup>-1</sup>) value of the node sequentially. This GMT script also uses GSHHG coastline data whose path can be added to the script by changing the value of variable GDIR at the beginning of the script. The BASH script file can be run to see the spatial distribution of log<sub>10</sub>(<em>Q<sub>sc</sub></em><sup>-1</sup>) using GMT-6 (Wessel et al., 2019) and Octave version 5.1 and above.</p> <p><strong>Data Set S4: </strong>File “ds04.zip” contains four data files (envnodes15b_3_3_1-2.txt, envnodes15b_3_3_2-4.txt, envnodes15b_3_3_4-8.txt, and envnodes15b_3_3_8-16.txt), one BASH script containing GMT and Octave commands (Qi_env.gmt), and a lat-long coordinate file (SAegean_poly_coord_extnd.txt) to mask the area outside the seismic network. The data files contain log<sub>10</sub>(<em>Q<sub>i</sub></em><sup>-1</sup>) values in 1-2, 2-4, 4-8 and 8-16 Hz bands respectively. The columns in the text files represent node latitude, node longitude and log<sub>10</sub>(<em>Q<sub>i</sub></em><sup>-1</sup>) value of the node sequentially. This GMT script also uses GSHHG coastline data whose path can be added to the script by changing the value of variable GDIR at the beginning of the script. The BASH script file can be run to see the spatial distribution of log<sub>10</sub>(<em>Q<sub>i</sub></em><sup>-1</sup>) using GMT-6 (Wessel et al., 2019) and Octave version 5.1 and above.</p> <p><strong>Data Set S5: </strong>File “ds05.zip” contains four data files (envnodes15a_3_3_1-2.txt, envnodes15a_3_3_2-4.txt, envnodes15a_3_3_4-8.txt, and envnodes15a_3_3_8-16.txt), one BASH script containing GMT and Octave commands (albd_env.gmt), and a lat-long coordinate file (SAegean_poly_coord_extnd.txt) to mask the area outside the seismic network. The data files contain Albedo (<em>B<sub>o</sub></em>) as % values in 1-2, 2-4, 4-8 and 8-16 Hz bands respectively. The columns in the text files represent node latitude, node longitude and <em>B<sub>o</sub></em> value of the node sequentially. This GMT script also uses GSHHG coastline data whose path can be added to the script by changing the value of variable GDIR at the beginning of the script. The BASH script file can be run to see the spatial distribution of <em>B<sub>o</sub></em> using GMT-6 (Wessel et al., 2019) and Octave version 5.1 and above. </p>
the Northern Adria Crust (NAC) model
<p>The Northern Adria Crust (NAC) model</p> <p>Authors:<br>A. Magrin, G. Rossi<br>OGS, Centro Ricerche Sismologiche, Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Via Treviso 55, 33100 Udine, Italy<br>OGS, Centro Ricerche Sismologiche, Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Borgo Grotta Gigante, 42/c, 34010 Trieste, Italy</p> <p>Contact:<br>Andrea Magrin @ OGS (Udine - Italy) amagrin@ogs.it</p> <p>The dataset provided here is the crustal model presented in Magrin and Rossi, Front. Earth Sci., 2020 (doi: 10.3389/feart.2020.00089). </p> <p>If you use this dataset, please cite the following paper:</p> <p>Magrin, A., Rossi, G. (2020). Deriving a new crustal model of Northern Adria: the Northern Adria Crust (NAC) model. Front. Earth Sci, 10.3389/feart.2020.00089</p> <p><br>NAC/NAC1 : version of the model with mo1 (Moho defined by a continuous surface)<br>NAC/NAC1/GRD : files in NETCDF4 format<br> nac_interfaces_mo1.grd -> depth of the interfaces with their error<br> nac_parameters_mo1.grd -> geophysical parameters of the crust with their error<br>NAC/NAC1/XYZ<br> nac_interfaces_mo1.xyz -> depth of the interfaces with their error<br> nac_parameters_mo1.xyz -> geophysical parameters of the crust with their error<br>NAC/NAC1/NFO<br> nac_vp_mo1.xyzv -> Vp of the crust<br> nac_vs_mo1.xyzv -> Vs of the crust<br> model_grid.png -> grid points of NAC with bounding box of NITRO NFO</p> <p>NAC/NAC2 : version of the model with mo2 (segmented Moho)<br>NAC/NAC2/moho_fragments.txt : boundaries between AD, EU and PA<br>NAC/NAC2/GRD : files in NETCDF4 format<br> nac_interfaces_mo2.grd -> depth of the interfaces with their error<br> nac_parameters_mo2.grd -> geophysical parameters of the crust with their error<br>NAC/NAC2/XYZ<br> nac_interfaces_mo2.xyz -> depth of the interfaces with their error<br> nac_parameters_mo2.xyz -> geophysical parameters of the crust with their error<br>NAC/NAC1/NFO<br> nac_vp_mo2.xyzv -> Vp of the crust<br> nac_vs_mo2.xyzv -> Vs of the crust<br> model_grid.png -> grid points of NAC with bounding box of NITRO NFO</p> <p><br>The Cartesian coordinates of the model are referred to the origin point <br>(at 10.2° E and 44.6° N) and are obtained from geographical coordinates<br>using the UTM (Universal Transverse Mercator) projection (zone 33N). <br>z increases with depth below sea level.</p> <p>Interfaces are:<br>- T: topography<br>- BS: the bottom of the sedimentary layer<br>- MO1: Moho defined by a continuous surface<br>- MO2: segmented Moho</p> <p>The geophysical parameters of the crust are:<br>- Vp: velocity of P-wave (km/s)<br>- Vs: velocity of S-wave (km/s)<br>- rho: density (10^3 kg/m^3)<br>- mu: shear modulus (10^9 N/m^2)<br>- young: young modulus (10^9 N/m^2)</p> <p>The errors of interfaces and parameters are the total errors (see paper for a complete description).</p>
Cryptogam crust data from the long-term Small Mammal Exclosure Study (SMES) at Jornada Basin LTER, 1995-2005
This data package contains cryptogam cover data from plots with various levels of herbivore exclusion on Jornada Experimental Range (JER) and Chihuahuan Desert Rangeland Research Center (CDRRC) lands. Study sites were established in 1995; one in black grama grassland and the other in creosotebush shrubland to compare the impact of herbivores on ecosystem processes between these vegetation types. Parallel studies were established at the Sevilleta LTER site (New Mexico, USA) and Mapimi Biosphere Reserve (Durango, Mexico). Each study site is 1 km by 0.5 km in area. Four replicate experimental blocks were randomly located at each study site to measure vegetation responses using exclusion treatments including a) all mammalian herbivores, including cattle, lagomorphs, and rodents, b) lagomorphs and cattle only, c) cattle only, and d) control accessible to all herbivores. Thirty-six sampling points were positioned at 5.8-meter intervals on a systematically located 6 by 6 point grid within each plot. A permanent one-meter by one-meter vegetation measurement quadrat is located at each of the 36 points. Each year in spring and fall from 1995-2005, the percent of a quadrat covered in cryptogams was estimated by summing the percent of each 10 cm square within a quadrat (including 100 10-cm squares) containing cryptogams (See methods for a detailed explanation). Cryptogams (biological soil crusts) include lichens, algae, cyanobacteria, and moss. This study is complete.
Surface abrasion and crust evolution following vegetation removal at the Jornada Basin LTER Scrape Site, 1995 to 2019
This data package contains measurements of soil surface abrasion and the evolution of soil crust shear strength following a soil and vegetation removal (scrape) treatment at the Jornada Basin LTER site in southern New Mexico, USA. Soil erosion and soil crust shear strength is measured at 3 locations along the prevailing wind direction across a site initially scraped in 1995 to remove the A soil horizon in a 100 meter radius semicircle. There are three monitoring stations (East, Middle, West) on the Scrape Site. The West site is the windward site, the East site is the leeward site, and the middle site is halfway between the other two. At each location, measurements are taken of the distance of the sand surface and soil crust to a crossbar set into the soil. Three "Torvane" measurements that measure the torque (shear strength) needed to break the crust are also made at each location. These measurements were made monthly until 2014, and are made annually since 2015. The Scrape Site has now become the location for the GROWES study (JRN study IDs 511 and 523). Data collection for this study is ongoing.
Effects of Altered Precipitation on Biological Soil Crusts, Fungi, and Soil Nitrogen Availability at the Monsoon Rainfall Manipulation Experiment (MRME) in the Sevilleta National Wildlife Refuge, New Mexico (2016)
Microbial activity in drylands is mediated by the magnitude and frequency of growing season rain events that will shift as climate change progresses. Nitrogen is often co-limiting with water availability to dryland plants, and thus we investigated how microbes important to the nitrogen (N) cycle and soil N availability varied temporally and spatially in the context of a long-term rainfall variability experiment in the northern Chihuahuan Desert. Specifically, we assessed biological soil crust (biocrust) chlorophyll content, fungal abundance, and inorganic N in soils adjacent to individuals of the grassland foundation species, Bouteloua eriopoda, and in the unvegetated interspace at multiple time points associated with an experimental monsoon rain treatment. Treatments included small weekly (5 mm) or large monthly (20 mm) rain events, which had been applied during the summer monsoon for nine years prior to our sampling. Additionally, we evaluated target plant C:N ratios and added 15 N-glutamate to biocrusts to determine potential for nutrient transport to B. eriopoda. Biocrust chlorophyll was up to 67% higher in the small weekly or large monthly rainfall regimes compared to ambient controls. Fungal biomass was 57% lower in soil interspaces than adjacent to plants but did not respond to rainfall regime treatments. Ammonium and nitrate concentrations near plants declined through the sampling period but varied little in soil interspaces. There was limited movement of 15 N from interspace biocrusts to leaves but high 15 N retention in the soils even after additional ambient and experimental rain events. Plant C:N ratio was unaffected by rainfall treatments. The long-term alteration in rainfall regime in this experiment did not change how short-term microbial abundance or N availability responded to the magnitude or frequency of events, suggesting a limited response of N availability to future climate change.
Datasets for "Hall cascade with fractional magnetic helicity in neutron star crusts"
<pre>The run directories contain time series and spectra as text files and other secondary data as idl save files. They can be read directly with the corresponding idl routines that are in the directory run_directories/run_idl. The run directories can be used to rerun the cases with the Pencil Code (https://github.com/pencil-code).</pre>
LOTOS files for Local earthquake tomography of the Aegean crust: Implications for active deformation, large earthquakes, and arc volcanism
<p>This archive contains LOTOS codes and model files/folders associated with the publication "Local earthquake tomography of the Aegean crust: Implications for active deformation, large earthquakes, and arc volcanism" (inside Aeg_tomo.zip)</p> <p> </p> <p>New in version 2:</p> <p>3D model files as well as lateral sections for Vp, Vs, and Vp/Vs (inside nc_3d_model.zip)</p>
EOS+TOV_crust-DD2-RDF_infty_265_555
<p>This work has been supported by the Polish National Science Centre (NCN) under grant No. 2019/33/B/ST9/03059.</p>
Ice sheet weathering crust evolution code (1D, saturated)
<p>This repository contains the code used to produce the results in the article "Modelling the evolution of an ice sheet's weathering crust" by Tilly Woods and Ian J. Hewitt, 2024, IMA Journal of Applied Mathematics, https://doi.org/10.1093/imamat/hxae031. The code finds time-dependent solutions for the porosity and temperature profiles in and below an ice sheet's weathering crust. The model is based on mass conservation, energy conservation, internal shortwave radiation and a surface energy balance. It is solved using an ethalpy method with finite volumes and semi-implicit timestepping. The code was written in MATLAB R2024a.</p>
Processed data and models in support of manuscript "Deciphering the state of the lower crust and upper mantle with multi-physics inversion"
<p>Data and model files in original format used in the manuscript "Deciphering the state of the lower crust and upper mantle with multi-physics inversion". These files are accompanied by a set of python scripts to reproduce several of the figures in the Manuscript. Please refer to the Manuscript and the included files for further information on data origin and how to use the scripts. A link will be added upon acceptance.</p>
Dataset for "WUS256: An Adjoint Waveform Tomography Model of the Crust and Upper Mantle of the Western United States for Improved Waveform Simulations"
<p>This dataset contains the WUS256 seismic model and auxiliary data used in the creation of the model (Rodgers et al., 2022). WUS256 is a three-dimensional model of the seismic properties of crust and upper mantle of the western United States. The WUS256 model is provided in NetCDF format (readable by for example, <em>xarray</em>, Hoyer & Hamman, <a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JB022930#jgrb55516-bib-0057">2017</a>) and HDF5 format for viewing with <em>ParaView</em> (Ahrens et al., <a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JB022930#jgrb55516-bib-0002">2005</a>) and interaction with <em>Salvus</em> (Afanasiev et al., <a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JB022930#jgrb55516-bib-0001">2019</a>).</p> <p>Also included are the earthquake source parameters for the 72 inversion events and 18 validation events in ASCII text format. Lastly, we include a list of all waveforms used in the creation of WUS256. This is a simple ASCII file with the event name and receiver name (composed of the network_code and station_code).</p> <p>This effort was support by Lawrence Livermore National Laboratory’s Laboratory Directed Research and Development project 20-ERD-008. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. LLNL-MI-833624</p>
A 5000 km2 ASTER alteration map of the Oman–UAE ophiolite crust: Data archive and remote sensing toolkit
<p>This archive contains data and maps accompanying the journal article <em>"Multispectral discrimination of spectrally similar hydrothermal minerals in mafic crust: A 5000 km<sup>2</sup> ASTER alteration map of the Oman–UAE ophiolite</em>".</p> <p>The archive includes the full resolution, multi-format alteraton maps of hydrothermal alteration of the entire Oman–UAE ophiolite crust generated by ASTER remote sensing. Additional files necessary to reproduce or build on this work are also provided, constituting a remote sensing toolkit for the Oman–UAE ophiolite. A complete list of contents is provided within. Please contact TMB in case of compatibility issues.</p>
FIG. 16 in The Sarmatian (middle Miocene) "petrified forest" of Gramada (NW Bulgaria): role of the calcareous crusts
FIG. 16. — Spatial distribution of cylinders remaining in situ from zone 1, giving an idea of their density on the field.
FIG. 15 in The Sarmatian (middle Miocene) "petrified forest" of Gramada (NW Bulgaria): role of the calcareous crusts
FIG. 15. — GR5 dome-shaped top microfacies; A, B, general views showing dense micritic crusts; C, detail of micritic columns; D, partially peloidal micritic crust with poorly expressed filamentous structures; E, composite micritic crust with very degraded corallinaceous crusts and fine filamentous structures (arrow); F, G, corallinaceous crusts (type 2) showing fairly well-preserved cell structures; H, probable corallinaceous crust; I, accumulations of peloids often oolitized and bioclasts with undetermined honeycomb structures (see Fig. 10G). Scale bars: A, B, 5 mm; C, D, 500 µm; E, 200 µm; F-I, 100 µm.
FIG. 14 in The Sarmatian (middle Miocene) "petrified forest" of Gramada (NW Bulgaria): role of the calcareous crusts
FIG. 14. — GR4 outer layer microfacies; A-C, general views showing the appearance in micritic columns making spaces partially filled by peloidal and oolitic accumulations; D, filamentous crusts surrounded by elongated branched cellular structures (type 5); E, composite corallinaceous crusts (types 2 and 3);. F, cellular crusts (type 3); G, crust with Girvanella-like filament; H, accumulations of peloids resembling faecal pellets; I, details of grains with an oolitic cortex. Scale bars: A-C, 5 mm; D, E, 500 µm; F-H, 200 µm; I, 100 µm.
FIG. 13 in The Sarmatian (middle Miocene) "petrified forest" of Gramada (NW Bulgaria): role of the calcareous crusts
FIG. 13. — GR4 middle part microfacies; A, general view showing crusts forming more or less wide columns, the spaces between the columns being filled by peloidal accumulations; B, details of micritic and peloid crusts; C, thin crusts (type 1) and peloids; D, composite crusts with algae and vacuolar structures (type 8); E, detail of cell-lined crusts (type 3) and presence of ostracod shells; F, finely rolled columns (microstromatolites?) with filling of voids by peloids; G, filling of a void between two micritic crusts by peloidal accumulations; H, crust (type 2) of Corallinaceae whose cell structure is degraded by an intense micritization, but with distinguishable conceptacles (co). Scale bars: A, 5 mm; B-D, F, G, 500 µm; E, 200 µm; H, 100 µm.
FIG. 11 in The Sarmatian (middle Miocene) "petrified forest" of Gramada (NW Bulgaria): role of the calcareous crusts
FIG. 11. — GR3 microfacies: A, B, general views showing dense micritic crusts, often forming small columns; C, detail of a multi-component crust: probable algae (type 3) with alignments of large cells (alg) and type 5 cell structures (cel) erected on the previous algal crust; D, E, mass formed by successive fine crusts (type 1) and rows of cells (type 3); F, G, detail of the rows of algal cells (type 3); H, lumpy micritic masses of microbial origin (type 7); I, composite crust with fine algal crusts (type 1), rows of cells (type 3, alg), cellular structures (type 5, cel). Scale bars: A, B, 5 mm; C, D, I, 500 µm; E, 400 µm; F-H, 100 µm.
FIG. 9 in The Sarmatian (middle Miocene) "petrified forest" of Gramada (NW Bulgaria): role of the calcareous crusts
FIG. 9. — Main components of crusts: A, B, type 1, thin crust attributable to corallines; C, D, type 2, micritic masses attributable to corallines showing a preserved cellular structure; E, F, type 3, cell alignments within a micritic crust with an indistinctly fine structure, possibly attributable to Corallinaceae; G, H, type 4, networks of filaments with micritic outlines within micritic masses, recalling a cyanobacterial structure of the Girvanella type; I, J, type 5, elongated cell structures, sometimes branched; K, type 6, rounded micritic masses with fine fan-shaped filaments recalling small cyanobacterial constructions; L, M, type 7, lumpy micritic clumps of probable microbial origin; N, O, type 8, cellular structures of variable size exhibiting a Bacinella-like character. Scale bars: A, F, J-L, 200 µm; B-D, G, H, M, N, 100 µm; E, I, O, 500 µm.
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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