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2,019 results for “boundary”
Mycorrhizal fungal communities identified from seedlings planted in the Taylor, Dalton, and Boundary fire complexes which burned in 2004
This dataset contains the operational taxonomic unit table and taxonomic assignments for fungi that were associated with the roots of seedlings planted into the 2004 burn sites. There were 458 seedlings from 22 of the 32 established intensive sites (Johnstone and Hollingsworth 2019) consistenting of black spruce, white spruce, aspen, and lodgepole pine.
Imputed Forest Composition Map for New England Screened by Species Range Boundaries 2001-2006
Initializing forest landscape models (FLMs) to simulate changes in tree species composition requires accurate fine-scale forest attribute information mapped contiguously over large areas. Nearest-neighbor imputation maps have high potential for use as the initial condition within FLMs, but the tendency for field plots to be imputed over large geographical distances results in species frequently mapped outside of their home ranges, which is problematic. We developed an approach for evaluating and selecting field plots for imputation based on their similarity in feature-space, their species composition, and their geographical distance between source and imputation to produce a map that is appropriate for initializing an FLM. We applied this approach to map 13m ha of forest throughout the six New England states (Rhode Island, Connecticut, Massachusetts, New Hampshire, Vermont, and Maine). The map itself is a .img raster file of FIA plot CN numbers. To access FIA data from this map, one has to link the mapcodes in this map to FIA data supplied by USDA FIA database (https://apps.fs.usda.gov/fia/datamart/datamart.html). Due to plot confidentiality and integrity concerns, pixels containing FIA plots were always assigned to some other plot than the actual one found there.
North Temperate Lakes LTER Northern Highland Lake District Boundary
This data set defines the spatial extent of the Northern Highland Lake District (aka Trout Lake Region).
Generative convective parametrization of a dry atmospheric boundary layer
<p>The repository contains simulation snapshots of a dry convective boundary layer (CBL). The snapshots comprise horizontal snapshots of vertical velocity (w) and buoyancy (b) field at three heights, namely z/h(t) = 0.2, 0.5, 1.0. Further, the Python scripts for the Generative Adversarial Network (GAN) are also provided, as well as the DNS renormalization procedure.</p>
NECCPB-1: The first cropland parcel boundary dataset from meter-level imagery of Northeast China
<p>The Northeast China Plain is one of the world's three largest black soil regions, characterized by high organic matter content, rich nutrients, and strong water retention capabilities. Suitable climate conditions and abundant rainfall promote the growth of crops such as corn, soybeans, and rice, making it one of the main grain production bases in China, accounting for about one-fifth of the country's grain output. The grain production in the Northeast China black soil region is crucial for food security in China and globally. This area's farmland parcels are the basic units of agricultural production and the cornerstone of precision agriculture management, providing detailed information on cultivated land location, boundaries, shape, and area. Utilizing this parcel-scale information, governments and farm managers can devise more precise planting strategies and optimize management methods, thereby enhancing the quality and productivity of crops, ensuring a continuous food supply, and promoting sustainable agricultural development.</p> <p>The first cropland parcel boundary dataset from meter-level imagery of Northeast China (NECCPB-1) was developed based on deep learning models and a custom-designed automatic parcel merging strategy. A total of 10.22 TB of very-high-resolution (VHR) imagery was downloaded and uploaded, covering the entire region of Northeast China and an area of 1,240,000 km². After further removal of non-cropland regions based on phenological differences, 32,395,946 parcels were obtained.</p> <p> Rigorous validation using manually drawn reference parcels demonstrated that this dataset had high accuracy in parcel delineation (Extraction Precision, EP: 0.85) and high consistency with the reference parcels (|Completeness Deviation|, |CompD|: 0.02; Intersection over Union, IoU: 0.90). Further comparison with official Third Survey reports confirmed the high reliability of the NECCPB-1 dataset, which exhibited an average relative difference of -3.6% and an absolute relative difference of 9.8%.</p> <p>A series of cross-validations with seven widely used cropland datasets (ESA_GLC10, ESRI_GLC10, FROM_GLC10, CLD10, GLAD250, GFSAD30, and SinoLC-1). The recall, precision, and F1 scores of the NECCPB-1 were calculated as 0.91, 0.93, and 0.92, respectively, using publicly validated sample points of land cover. Moreover, NECCPB-1 performed best regarding cropland completeness, achieving an intersection ratio (IR) of 0.94, as calculated using the reference parcels.</p> <p>Due to the extensive size of the dataset and potential policy considerations, access to the data will be granted based on specific inquiries. Please contact us at zhengjia@iga.ac.cn or guotianhao@iga.ac.cn for further details. Please indicate your purpose and other details. Thank you!</p>
Shapefile of administrative boundaries in Glasgow, UK, around 1920
<p>This dataset consists of a shapefile of administrative boundaries (municipal wards) in Glasgow around 1920, based on 'Map of the City of Glasgow shewing Parliamentary Divisions as fixed in 1918, and Municipal Wards as fixedin 1920'. The map is held in the Glasgow City Archives, reference DTC/13/98.</p> <p>Shapefile construction was undertaken as described in the related article:</p> <p>Angelopoulos, K., Stewart, G. and Mancy, R. <em>Local infectious disease experience influences vaccine refusal rates: a natural experiment. Proceedings of the Royal Society B: Biological Sciences. DOI: 10.1098/rspb.2022.1986.</em></p> <p>The attributes which are included in the shapefile are Ward_Num (municipal ward number) and Ward_Name (municipal ward name). Full details of the wards numbers and ward names are given in the Report of the Medical Officer of Health for the City of Glasgow for 1921, which can be accessed at<em> https://wellcomecollection.org/works/jxgvafxr/items. </em></p>
Shapefiles of administrative boundaries, Subway and main rivers in Glasgow, UK, around 1910
<p>This collection consists of ESRI shapefiles for Glasgow around 1910:</p> <ul> <li>sanitary district boundaries in 1903 (Sanitary_Districts.shp, etc.)</li> <li>municipal ward boundaries in 1912 (Wards_1912.shp, etc.)</li> <li>registration district boundaries within the area of the City of Glasgow in 1913 (Registration_Districts.shp, etc.)</li> <li>routes of main rivers (River Clyde and River Kelvin) around 1915 (Rivers.shp, etc.)</li> <li>route of the Glasgow Subway around 1915 (Subway.shp, etc.)</li> </ul> <p>For details of shapefile construction, please see the descriptions in the following article:</p> <p>Angelopoulos, K., Stewart, G. and Mancy, R. <em>Local infectious disease experience influences vaccine refusal rates: a natural experiment. Proceedings of the Royal Society B: Biological Sciences. DOI: 10.1098/rspb.2022.1986.</em></p> <p>Details of construction and references to original map sources are provided in the second paragraph of the section "Geographic conversion" in the online supplementary materials of the above reference. Further information about the boundaries is provided in the caption of Figure S1 of the supplementary materials. Additional contextual information is provided in both the main text and supplementary materials.</p>
Flume Erosion Testing Data of Root-Permeated and Organic Matter Amended Soil Samples Using Three Streambank Boundary Conditions.
The data published here is expected to accompany one publicly available dissertation (Chapter 6 of dissertation) and one separate journal publication. Once published and available online, the metadata will be updated with the relevant article information. The journal article/dissertation will have additional information regarding the published datasets and the methods used to collect the data. All data collected from these studies, and the accompanying Acoustic Doppler Profiler MATLAB files, are presented here. Journal Article title: Artificial Roots and Soil Microorganisms Increase Soil Resistance to Fluvial Erosion
Bonanza Creek LTER: Annual Active Layer Depths from 2004 to Present in the Boundary Fire Fireline near Fairbanks, Alaska
In 2004 the Boundary Fire burned an area within the Caribou Poker Creeks Research Watershed providing an opportunity to study various fire effects. When wildfire burns through a northern black spruce forest there is usually a subsequent increase in depth of thaw, due to the reduction in the depth of the organic layer. The construction of firelines with heavy machinery involves the complete removal of the organic layer and results in an even greater increase in active layer. This study was designed as a long-term comparison between depth of thaw on firelines, burned and unburned black spruce forest underlain by ice rich permafrost. This study will allow us to compare thaw depths from recent firelines to those studied at the Wickersham and Bonanza Creek fireline study sites. Within the fireline bulldozers were used to knock down and in some cases remove, the trees and organic layer. Within the safety zone an area approximately 30 m x 30 m was cleared to mineral soil. After the fire was out an excavator was used to return the organic material to the fireline and safety zones.
North Temperate Lakes LTER Yahara Lakes District Boundary
This data set defines the spatial extent of the Yahara Lakes District (aka Madison Lakes Region)
Atomistic Structures discussed in "Segregation-enhanced grain boundary embrittlement of recrystallised tungsten evidenced by site-specific microcantilever fracture"
<p>The tar file Sigma7_GB.tar contains all data to reproduce the results shown and discussed in the Publication "Segregation-enhanced grain boundary embrittlement of recrystallised tungsten evidenced by site-specific microcantilever fracture", DOI: <a href="https://doi.org/10.1016/j.actamat.2023.119256">10.1016/j.actamat.2023.119256</a></p><p>It contains three folders for the grain boundary creation, decoration with P atoms, and fracture simulations.<br>The naming conventions and additional information are provided in README.txt files in the directories.</p>
Centre frequencies and uncertainties for "Evidence for a kilometre-scale seismically slow layer atop the core-mantle boundary from normal modes"
<p>A table containing the centre frequencies and uncertainties used for the study presented in "Evidence for a kilometre-scale seismically slow layer atop the core-mantle boundary from normal modes". This table is the same as is contained in the supplementary materials of that paper.</p> <p>Russell, S., Irving, J. C. E., Jagt, L., & Cottaar, S. (2023). Evidence for a kilometer-scale seismically slow layer atop the core-mantle boundary from normal modes. Geophysical Research Letters, 50, e2023GL105684. <a href="https://doi.org/10.1029/2023GL105684">https://doi.org/10.1029/2023GL105684</a></p>
DuneFront deliverable D4.1 - Physical boundary conditions over European coasts
<p>The European project DuneFront (<a href="https://dunefront.eu">https://dunefront.eu</a>, <a href="https://cordis.europa.eu/project/id/101135410">https://cordis.europa.eu/project/id/101135410</a>) is working to improve coastal protection across Europe by using Nature-based Solutions (NbS), such as Dune-Dike hybrids (DD-hybrids), to defend coastlines from extreme weather and rising sea levels. Within this project, this “Physical Boundary Conditions” deliverable focuses on collecting and mapping key physical boundary conditions that affect the effectiveness of these solutions. The aim was to create a consistent, Europe-wide, high-quality dataset that helps understand how DD-hybrids are, and will be, affected by waves, tides, weather patterns, and climate change. </p> <p>The dataset is made of 5 geopackage files, each duplicated in csv format for accessibility. See the deliverable report (pdf) for detailed information on each file, use notes, and literature references. We explicitly recommend the use of the gpkg files over csv for any GIS application, for reasons that are detailed in the report.</p>
Observations of the Bottom Boundary Layer beneath the World's Largest Internal Solitary Waves_for JGR submission
<p>This folder contains preprocessed data, data processing scripts, Reynolds Averaged Navier Stokes (RANS) simulation scripts, and plotting scripts that produce the results in the manuscript entitled, "Observations of the Bottom Boundary Layer beneath the World's Largest Internal Solitary Waves," for submission to Journal of Geophysical Research Oceans by Trowbridge, Helfrich, Reeder, Medley, Chang, Jan, Ramp, and Yang.</p> <p> </p>
An experimental data set on the thermal and fluid dynamic performance of double skin facades (DSFs) subjected to various controlled boundary conditions through the use of a climate simulator facility
<p>Double skin facades (DSFs) are building envelope systems defined by complex phenomena and non-linear-processes that make characterizing their performance a non-trivial task. In an effort to enable the scientific community to access experimental data for further analysis or model validation purposes, we release together with the open-access paper entitled “<strong><em>Laboratory testbed and methods for flexible characterization of the thermal and fluid dynamic behavior of double skin facades” (</em></strong><a href="https://doi.org/10.1016/j.buildenv.2021.108700"><strong><em>https://doi.org/10.1016/j.buildenv.2021.108700</em></strong></a><strong><em>)</em></strong>, a set of experimental data collected during tests carried out with the use of the newly developed testbed. The data contains the results of a series of tests where various configurations of a full-scale DSF mock-up that have been subjected to different boundary conditions replicated in a climate simulator. The database contains a guide in the form of the file ‘Guide.pdf’, which explains how to read data, presents a schematic drawing of sensor layout, and provides more information on sensors’ positions. Further information on the original aims of the experiments, methods, and other data can be found in the article mentioned above, which becomes an essential tool to understand how to read and interpret the experimental data fully. The following collection of experimental data are provided:</p> <ul> <li>32 steady-state measurements where the following factors were changed: ventilation mode (indoor and outdoor air curtain), solar irradiance (0, 400, 600, and 800 Wm<sup>-2</sup>), outdoor chamber temperature (10, 20, 30, and 40 ℃), cavity depth (20, 30, 40 and 60 cm) and venetian blinds position (no blinds, closed blinds, θ=45 º, and open blinds) [file names: ‘Taguchi_4Lx4F_L16_I-I.csv’ and ‘Taguchi 4Lx4F_L16_O-O.csv’],</li> <li>Dynamic profile measurements corresponding to a typical hot summer day [Dynamic_profile_measurements.csv] and</li> <li>Calibration data [Callibration.csv].</li> </ul> <p>Any inquires on the experimental data<em> can be sent </em>to: aleksandar.jankovic@ntnu.no</p>
Data from PISM-LakeCC: Implementing an adaptive proglacial lake boundary in an ice sheet model
<p>In our study, we describe the implementation of an adaptive proglacial lake boundary in the Parallel Ice Sheet Model (PISM). The model was tested by applying it to the glacial retreat of the North American ice sheets after the LGM.</p> <p>This dataset contains selected timeslices and variables of the model output for our three main experiments (LAKE, CTRL and DEF). More details about the experiments can be found in our study:</p> <blockquote> <p>Hinck, S., Gowan, E. J., Zhang, X., and Lohmann, G.: PISM-LakeCC: Implementing an adaptive proglacial lake boundary in an ice sheet model, The Cryosphere, 16, 941–965, https://doi.org/10.5194/tc-16-941-2022, 2022.</p> </blockquote>
An experimental data set for the analysis of the thermophysical behavior of a single-story naturally ventilated double-skin façade (DSF) under summer boundary conditions
<p>Double-skin facades (DSFs) are adaptive building envelope elements that offer the possibility to dynamically interact with the heat and mass flow between indoor and outdoor environments. Though designed to provide better performance compared to more conventional envelope solutions, these façade systems may, in some cases, underperform and lead to an increase in energy use or in thermal discomfort if not properly designed and operated. One of the known problems is the risk of overheating, in hot periods, in the ventilated cavity. In order to analyze this effect, we have systematically investigated the performance of a single-story, naturally ventilated DSF. The DSF is operated in the so-called outdoor air curtain mode and has venetian blinds installed in the 20 mm deep ventilated cavity. Tests were carried out under a steady-state regime corresponding to relevant summertime conditions. In an effort to enable the scientific community to access experimental data to analyze this problem further or for model validation purposes, we released together with the open-access paper entitled "<strong>Characterization of a naturally ventilated double-skin façade through the design of experiments (DOE) methodology in a controlled environment</strong>," the entire set of experimental data collected during the tests. The data set contains the results of a series of experimental runs where different configurations of the DSF, as detailed below, have been subjected to various boundary conditions through a climate simulator facility equipped with a solar simulator device. The database is supported by a guide ("Guide.pdf"), where further explanations about how to read data and schematic drawings of the sensor layout are provided. Additional information about the original aims of the experiments, the detailed methods, and other data processing procedures can be found in the article mentioned above. The collection of experimental tests in this data set covers:</p> <ul> <li>49 steady-state measurements where the following factors were changed using different experimental designs: solar irradiance (0, 350, and 700 Wm<sup>-2</sup>), outdoor chamber temperature (15, 25, and 35 ℃), opening size (7, 21, and 42 dm<sup>2</sup>), and venetian blinds angle (closed blinds θ=0 º, θ=45 º, and open blinds θ=90 º) [file name: "Complete_data.csv"],</li> </ul> <p>Any inquiries about the experimental data can be sent to: <a href="mailto:aleksandar.jankovic@ntnu.no">aleksandar.jankovic@ntnu.no</a></p> <p>The activities presented in this paper were carried out within the research project "REsponsive, INtegrated, VENTilated - REINVENT – windows," supported by the Research Council of Norway through the research grant 262198, and the partners SINTEF, Hydro Extruded Solutions, Politecnico di Torino and Aalto University.</p>
Seasonal to decadal western boundary current variability from sustained ocean observations
<p> </p> <p>Cross-transect velocity time series for HR-XBT transects IX21, PX30, and PX40 in support of: <a href="http://doi.org/10.1029/2022GL097834">Chandler et al. (2022). Seasonal to decadal western boundary current variability from sustained ocean observations.</a> </p> <p> </p> <p>Each netcdf file includes the following variables:</p> <ul> <li>time</li> <li>longitude</li> <li>latitude</li> <li>depth</li> <li>vel</li> <li>gvel_LNM</li> <li>long_for_vel_err</li> <li>lat_for_vel_err</li> <li>vel_err</li> <li>wbc_transport</li> </ul> <p> </p> <p>See also <a href="https://github.com/mlchandler/wbc_sustained_obs">https://github.com/mlchandler/wbc_sustained_obs</a></p>
Marine plastics alter the organic matter composition of the air-sea boundary layer, with influences on CO2 exchange: a large-scale analysis method to explore future ocean scenarios
<p>Microplastics are substrates for microbial activity and can influence biomass production. This has potentially important implications in the sea-surface microlayer, the marine boundary layer that controls gas exchange with the atmosphere and where biologically produced organic compounds can accumulate. In the present study, we used six large scale mesocosms to simulate future ocean scenarios of high plastic concentration. Each mesocosm was filled with 3 m3 of seawater from the oligotrophic Sea of Crete, in the Eastern Mediterranean Sea. A known amount of standard polystyrene microbeads of 30 μm diameter was added to three replicate mesocosms, while maintaining the remaining three as plastic-free controls. Over the course of a 12-day experiment, we explored microbial organic matter dynamics in the sea-surface microlayer in the presence and absence of microplastic contamination of the underlying water. Our study shows that microplastics increased both biomass production and enrichment of carbohydrate-like and proteinaceous marine gel compounds in the sea-surface microlayer. Importantly, this resulted in a 3 % reduction in the concentration of dissolved CO2 in the underlying water. This reduction was associated to both direct and indirect impacts of microplastic pollution on the uptake of CO2 within the marine carbon cycle, by modifying the biogenic composition of the sea's boundary layer with the atmosphere.</p>
Global plate boundary evolution and kinematics since the late Paleozoic
<h3>Global plate boundary evolution and kinematics since the late Paleozoic </h3> <p>Kara J. Matthews*^, Kayla T. Maloney*, Sabin Zahirovic*, Simon E. Williams*, Maria Seton*, R. Dietmar Müller*</p> <p>* EarthByte Group, School of Geosciences, The University of Sydney, Sydney, NSW 2006, Australia<br>^ Present address: Department of Earth Sciences, University of Oxford, South Parks Road, Oxford OX1 3AN, UK</p> <p>Contact: karajmatthews@gmail.com</p> <p>CORRECTION applied for the Pacific plate prior to 83 Ma based on Torsvik et al. (2019)</p> <h3><br>Supplementary Material</h3> <p>We provide a digital plate model files (including rotations and geometries) with this publication. These files allow for the visualisation and/or manipulation of the late Paleozoic to present-day (410-0 Ma) global plate motion model presented in this study. </p> <p>#########################################<br>The digital plate model files are compatible with the open-source GPlates plate reconstruction software (<a href="https://www.gplates.org" target="_blank" rel="noopener">www.gplates.org</a>):</p> <p>(1) Rotations - Global rotation model that contains the reconstruction poles that describe the motions of the continents and oceans.<br>- <strong>Global_EB_250-0Ma_GK07_Matthews_etal.rot</strong> (455 KB)<br>- <strong>Global_EB_410-250Ma_GK07_Matthews_etal.rot</strong> (115 KB) - in the comments 'POLE_RECALCULATED' means that we recalculated that finite pole of rotation such that the moving plate moves relative to a neighbouring plate rather than directly to the absolute reference frame (see Section 2.2.1 of the main text for more details). This process should have a minimal effect on the absolute motion of the plate.</p> <p>(2) Plate polygons and boundary geometries - Topologically closed plate polygons are constructed from the intersection of ridges, transforms, subduction zones and other plate boundary geometries. These 'resolved topologies' are valid at 1 Myr intervals (410-0 Ma). The plate boundary geometries and plate polygons have been assigned plate reconstruction IDs to allow them to be reconstructed using the supplied rotation file.<br>- <strong>Global_Mesozoic-Cenozoic_plate_bounds_Matthews_etal.gpml</strong> (36 MB)<br>- <strong>Global_Paleozoic_plate_bounds_Matthews_etal.gpml</strong> (8.7 MB)<br>- <strong>TopologyBuildingBlocks_Matthews_etal.gpml</strong> (2 MB) - this file has not been modified from Müller et al. (2016)</p> <p>(3) Coastlines - Geometries of the present-day coastlines.<br>- <strong>Global_coastlines_low_res_Matthews_etal.gpml</strong> (25.4 MB)<br>- <strong>Global_coastlines_low_res_Matthews_etal.shp</strong> (2.9 MB inc. auxillary files, datum-WGS 1984)<br>NOTE: From 410 to 320-310 Ma Kazakhstania is represented as one or two ('Internal' and 'External' Kazakhstania - Domeier and Torsvik, 2014) ovate polygons. Kazakhstania is highly deformed following a long and complicated history, and so for simplicity we avoid using their present-day outlines in the earlier part of the model.</p> <p>(4) Static polygons (optional) - Includes ocean isochron and terrane polygon geometries.<br>- <strong>Global_EarthByte_GPlates_PresentDay_StaticPlatePolygons_Matthews_etal.shp</strong> (2.7 MB inc. auxillary files, datum-WGS 1984)</p> <p>(5) Continenal polygons (optional) - Includes continental terrane polygon geometries and excludes oceanic lithosphere.<br>- <strong>Global_EarthByte_GPlates_PresentDay_ContinentalPolygons_Matthews_etal.shp</strong> (804 KB inc. auxillary files, datum-WGS 1984)</p> <p>GPLATES: <br>To view the model load all files in GPlates (either drag and drop files onto the globe OR from the navigation bar at the top of the screen click File -> Open Feature Collection and select files). Both rotation files (1) and each of the three plate geometry files (2) need to be loaded for the model to work properly. It is recommended that coastlines (3) are loaded to see how the continents move, however only one coastline file is necessary (.gpml or .shp). The static polygons (4) and continental polygons (5) are optional. </p> <p>The two rotation files need to be 'connected' in order for the model to run continuously from 410 to 0 Ma. In the GPlates 'Layers' window (opened from the main navigation bar, click 'Window' -> 'Show Layers') the rotation files will be highlighted yellow, yet only one will have a yellow tick next to it to signify it is being used. Click the small black triangle to the left the ticked rotation file. Under 'Inputs' -> 'Reconstruction features' click 'Add new connection' and then select the other rotation file from the list of files that will appear. This will ensure that both rotation files are active. </p> <p>Finally, it is recommended to experiment with geometry visibility in order to make the globe less cluttered. For instance, from the navigation bar click View -> Geometry Visibility and untick 'Show Line Geometries'. Alternatively, files can be toggled on and off using the tick boxes in the Layers window. For more information about using GPlates, a set of user tutorials can be accessed from the GPlates website - http://www.gplates.org/docs.html.</p> <p><br>#########################################<br>We also provide a list of the plate reconstruction IDs used in the model:</p> <p>Plate IDs - A list of all the plate IDs used in the rotation and geometry files and their corresponding plate names.<br>- <strong>EarthByte_Plate_ID_Table_Matthews_etal.txt</strong> (33 KB)</p> <p>#########################################<br>MODEL REFERENCING:<br>When using our model, in addition to citing this publication:</p> <p>Matthews, K.J., Maloney, K.T., Zahirovic, S., Williams, S.E., Seton, M. and Müller, R.D., 2016, Global plate boundary evolution and kinematics since the late Paleozoic, Global and Planetary Change, in press, accepted 3 October 2016.</p> <p>please also consider citing the studies of Domeier and Torsvik (2014) and Müller et al. (2016) which served as the basis for this model in the late Paleozoic and Mesozoic-Cenozoic, respectively, and cite any other study that describes refinements to the plate reconstructions in your region of interest. See Section 2 and Section 3 of the main text for more information on how the present model was constructed.</p> <p>- Domeier, M., & Torsvik, T. H. (2014). Plate tectonics in the late Paleozoic. Geoscience Frontiers, 5(3), 303-350. DOI:<a href="https://doi.org/10.1016/j.gsf.2014.01.002" target="_blank" rel="noopener">10.1016/j.gsf.2014.01.002</a><br>- Müller, R. D., Seton, M., Zahirovic, S., Williams, S. E., Matthews, K. J., Wright, N. M., Shephard, G. E., Maloney, K., Barnett-Moore, N., Hosseinpour, M., Bower, D. J., & Cannon, J. (2016). Ocean Basin Evolution and Global-Scale Plate Reorganization Events Since Pangea Breakup. Annual Review of Earth and Planetary Sciences, 44(1). DOI:<a href="https://doi.org/10.1146/annurev-earth-060115-012211" target="_blank" rel="noopener">10.1146/annurev-earth-060115-012211</a></p> <p>Note: We have recently fixed some issues in this model, namely the motion of the Pacific plate (following Torsvik et al., 2019), and some MOR topologies in the Arctic. The fixes are in the model files included in this folder, but the old (published) version of the model is included in a sub-folder called "_OLD_MODEL_DO_NOT_USE". </p> <p>Torsvik, T. H., B. Steinberger, G. E. Shephard, P. V. Doubrovine, C. Gaina, M. Domeier, C. P. Conrad, and W. W. Sager (2019), Pacific‐Panthalassic reconstructions: Overview, errata and the way forward, Geochemistry, Geophysics, Geosystems, 20(7), 3659-3689.</p> <p> </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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
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.