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Supporting Data: Do spatial climate messages increase pro-environmental engagement? Evidence from a survey experiment on public transport
<p>Additional material for the paper:</p> <p>Victor von Loessl, Eva Weingärtner & Sonja Zitzelsberger (2022) Do spatial climate messages increase pro-environmental engagement? Evidence from a survey experiment on public transport, Journal of Environmental Economics and Policy, DOI: 10.1080/21606544.2022.2097960</p>
Supporting information for the paper: The temporal relationship between Terrestrial Gamma-ray flashes and associated optical pulses from lightning
<p>Supporting information for the paper: The temporal relationship between Terrestrial Gamma-ray flashes and associated optical pulses from lightning, consisting of 2 data files and 221 presentations of TGF-Optical emission events observed by ASIM between end of March 2019 and November 2020.</p> <p>See 0_READ_ME for information about the individual files and variables.</p>
Supporting Information for "From Hofmeister to hydrotrope: Effect of anion hydrocarbon chain length on a polymer brush"
<p>This deposition contains the data and analysis (Jupyter notebooks) detailed in “From Hofmeister to hydrotrope: Effect of anion hydrocarbon chain length on a polymer brush”. All Jupyter notebooks have also been converted into PDF files for ease of viewing.</p> <p>All data and code (notebooks) required to reproduce the analysis can be found within the “supporting_data_analysis.zip” archive. This archive contains four sub-directories:</p> <ul> <li>Computional_data <ul> <li>Optimised geometry files (.xyz) for all short chain fatty acid (SCFA) anion-solvent and anion-NIPAM fragment structures.</li> <li>Summary of analysed data (“SAPT_computational_data.xlsx”) describing the different interaction energies between a SCFA anion-NIPAM fragment and anion-solvent: electrostatic, exchange, induction, dispersion and total interaction energy contributions.</li> </ul> </li> <li>Ellipsometry <ul> <li>Data directory containing all raw ellipsometry data.</li> <li>“refellips_Dry.ipynb” and “refellips_Spectroscopic_SL.ipynb” notebooks to reproduce the analysis of a dry (solid-air) and hydrated (solid-liquid) polymer brush, respectively. </li> <li>A spatial map of the polymer brush used for spectroscopic ellipsometry data analysis: “PNIPAM_brush_spatial_map.png”.</li> <li>“Ellipsometry_sigmoid_fitting.ipynb” notebook and “Water_data.csv” file for the demonstration of the extraction of a thermotransition temperature from an ellipsometry dataset. Relevant plotting tools can be found in the <a href="https://github.com/refnx/refellips">refellips repo</a>.</li> </ul> </li> <li>Neutron_reflectometry <ul> <li>Data directory containing all relevant reduced reflectivity profiles from the Platypus reflectometry at ANSTO.</li> <li>“refnx_dry.ipynb”, “refnx_D2O.ipynb” and “refnx_SCFA_electrolytes.ipynb notebooks required to reproduce the analysis pertaining to a dry, polymer brush and a brush exposed to pure D<sub>2</sub>O and various SCFA electrolytes, respectively.</li> <li>Additional code required to model the hydrated polymer brush and various plotting tools can be in the <a href="https://github.com/igresh/refnxtoolbox">refnxtoolbox repo</a>.</li> </ul> </li> <li>QCMD_data <ul> <li>Data directory containing all processed QCM-D data (.csv)</li> </ul> </li> </ul>
Data and analysis script to support "Multi-site analysis of sequence in leaf-out and flowering reveals evidence of local adaptation"
<p>Data files and R script used to download and analyze plant leaf-out and flowering observations maintained by the USA National Phenology Network to evaluate the consistency of leaf-out and flowering among species pairs over multiple years.</p>
Dataset in support of the study "Getting the leaves right matters for estimating temperature extremes"
<p>Dataset in support of the study “Getting the leaves right matters for estimating temperature extremes"</p>
Supporting data: phase-contrast virtual chest radiography
<p>This dataset contains supporting data for the publication below:</p> <ul> <li>Ilian Häggmark, Kian Shaker, Sven Nyrén, Bariq Al-Amiry, Ehsan Abadi, William P. Segars, Ehsan Samei, and Hans M. Hertz, "Phase-contrast virtual chest radiography<em>"</em>, <em>Proceedings of the National Academy of Sciences </em><strong>120</strong><em> </em>(1), e2210214120 (2023). <a href="https://doi.org/10.1073/pnas.2210214120">https://doi.org/10.1073/pnas.2210214120</a></li> </ul> <p>If you use this dataset for your work, <strong>please cite this publication.</strong></p> <p>-------------------------------------</p> <p><strong>1. Virtual patient (2D) </strong></p> <p>An upsampled and projected virtual patient derived from the XCAT model (see paper for more details). The projected thickness (unit: [m]) of 28 separate materials are stored in the mat-file <em>'virtual_patient.mat'</em>. The accompanying text file <em>'virtual_patient_materials.txt' </em>lists all 28 materials (3rd dimension in the virtual patient .mat file) .</p> <p>Data information:</p> <ul> <li>File type: .mat</li> <li>Size: 39200x52200x28 (3D matrix, single, 32-bit)</li> <li>Pixel size: 7.69x7.69 µm<sup>2</sup></li> </ul> <p>-------------------------------------</p> <p><strong>2. Full-chest virtual radiographs</strong></p> <p>Three full-size virtual chest radiographs of the virtual patient (above) simulated with different settings:</p> <ul> <li>Conventional (<em>z</em> = 0 m, 120 kVp tungsten spectrum)</li> <li>Control (<em>z</em> = 0 m, 60 keV monochromatic)</li> <li>Phase contrast (<em>z</em> = 12 m, 60 keV monochromatic)</li> </ul> <p>Data information:</p> <ul> <li>File type: .tif (16-bit)</li> <li>Data size: 8000x6000 pixels</li> <li>Pixel size: 50x50 µm<sup>2</sup></li> </ul> <p>-------------------------------------</p> <p><strong>3. Zoom in on chest radiographs at different propagation distances</strong></p> <p>This is the underlying data for <strong>Figure 2</strong> in the paper.</p> <p>Data information:</p> <ul> <li>File type: .tif (16-bit)</li> <li>Data size: 600x600 pixels</li> <li>Pixel size: 50x50 µm<sup>2</sup></li> </ul> <p>-------------------------------------</p> <p><strong>4. Observing airway wall thickening</strong></p> <p>This is the underlying data for<strong> Figure 5</strong> in the paper.</p> <p>Data information:</p> <ul> <li>File type: .tif (16-bit)</li> <li>Data size: 750x750 pixels</li> <li>Pixel size: 50x50 µm<sup>2</sup></li> </ul>
National SDG-7 performance assessment to support achieving sustainable energy for all within planetary limits
<p>Supplementary materials for publication Gebara et al. 2022, "National SDG-7 performance assessment to support achieving sustainable energy for all within planetary limits". </p>
Simulations in Support of Parameterization of Unified Microphysics Across Scales version 1 (PUMASv1) Paper
<p>Simulations done in support of manuscript entitled: Importance of Ice Nucleation and Precipitation on Climate with the Parameterization of Unified Microphysics Across Scales version 1 (PUMASv1)</p>
Supporting data for manuscript describing Slice and Dice method to measure NMR relaxation with nested experiments
<p>This is a supporting dataset for the manuscript "Slice and Dice: Nested Spin-lattice Relaxation Measurements" by W. Trent Franks, Jacqueline Tognetti and Józef R. Lewandowski.</p> <ul> <li><strong>NMR_data.zip : </strong>Raw NMR data in the Bruker format for the experiments presented in the manuscript. The file expands to a directory called "Raw NMR Data" that contains: <ul> <li>ReadMe_NMR_data.txt - describing the datasets included in the file.</li> <li>Record 1: <sup>13</sup>C<sup><span class="math-tex">\(^\alpha\)</span></sup> individual experiment. Pulse program name: hRCH_CT1</li> <li>Record 2: <sup>13</sup>C' individual experiment. Pulse program name: hCOcaH_SP_T1</li> <li>Record 3: <sup>15</sup>N individual experiment. Pulse program name: hRNH_NT1b</li> <li>Record 10: <sup>13</sup>C<span class="math-tex">\(^\alpha\)</span> + <sup>13</sup>C' + <sup>15</sup>N Slice & Dice experiment. Pulse program name: hR[COca,Ca,N]Ha_T10818 corresponding to the final sequence: hR[N,COca,Ca]HR_T1</li> </ul> </li> <li><strong>Pulse_program.zip</strong>: The pulse program and include file for the Slice and Dice experiment described in the manuscript. The pulse program in Bruker format (war.hR[COca,Ca,N]H_T1 - this is a text file that can be opened with any text editor) was tested on a Bruker Avance III HD console. Both the pulse program file, war.hR[COca,Ca,N]H_T1, and include file, HCN_defs.incl, need to be placed in the pulse program directory (/opt/topspinXX/exp/stan/nmr/lists/pp/user where XX is replaced with the version of Topspin). The file expands to a directory "Pulse_program_incl" that contains: <ul> <li>war.hR[COca,Ca,N]H_T1 - pulse program</li> <li>HCN_defs.incl - include file</li> <li>ReadMe_SliceDice_pp.txt - details on how to set up the experiment.</li> </ul> </li> <li><strong>HowToProcessSliceAndDice.pdf</strong> : Instructions on how to process Slice and Dice experiment in Topspin.</li> <li><strong>MultiR1list.zip: </strong>A program written in Python 3 required to calculate delay lists for the nested experiment to be included in the pulse program. The file expands to a directory MultiT1list directory that contains: <ul> <li>MultiT1list.py - the program</li> <li>ReadMe_MultiT1list.txt - instructions on how to use the program</li> </ul> </li> <li><strong>SNDProcguide.py.zip</strong>: A program written in Python 2 (SNDProcguideV2.py), which generates macro for processing and sorting 2D planes in Topspin. The script also provides some tips on setting parameters for different 2Ds and sorted lists of relaxation delays. Example output of the script is also included. The parameters in the script are set for the supplied example data.</li> <li><strong>HowToProcess.mp4</strong> - a video working through an example of processing Slice and Dice data.</li> </ul> <p> </p> <p> </p>
Sentiment Analysis of RUU PDP with Naive Bayes, Support Vector Machine, and Random Forest Classification Algorithm
<p>Dataset from the results of data crawling via Twitter which discusses the Rancangan Undang Undang Pelindungan Data Pribadi to be used in the sentiment analysis process. The dataset is divided into several parts according to the process executed on RapidMiner.</p>
Level 3 data in support of Modulation of Bubble Mediated Gas Transfer due to Wave-Current Interactions
<p>WaveWatchIII data output from solutions of a nested configuration off the coast of California. These data are a subset of the solutions reported by Romero et al. 2020.</p> <p>These data are Level 3 of the nested configuration with a horizontal resolution of 120 m.</p> <p>Data are in Netcdf format including the metadata.</p> <p>The simulation period December 2006</p> <p>List of files:</p> <p>L2_Dec2006.nc -- December control solution only forced by winds</p> <p>L2_cew_Dec2006.nc -- December solution including forcing by both winds and currents</p> <p>Grid files can be found at: https://doi.org/10.5281/zenodo.7140916</p>
Level 2 Spring data in support of Modulation of Bubble Mediated Gas Transfer due to Wave-Current Interactions
<p>WaveWatchIII data output from solutions of a nested configuration off the coast of California. These data are a subset of the solutions reported by Romero et al. 2020.</p> <p>These data are Level 2 of the nested configuration with a horizontal resolution of 270 m.</p> <p>Data are in Netcdf format including the metadata.</p> <p>The two simulation periods are December 2006 and Spring 2007.</p> <p>List of files:</p> <p>L2_Mar2007.nc -- Spring control solution only forced by winds</p> <p>L2_cew_Mar2007.nc --- Spring solution including forcing by both winds and currents.</p> <p>Grid files can be found at: https://doi.org/10.5281/zenodo.7140916</p> <p> </p> <p> </p> <p> </p>
Scale insects support natural enemies in both landscape trees and shrubs below them
<p>Scale insects are frequently abundant on urban trees. Although scales can worsen tree condition, some tree species tolerate moderate scale densities. Scales are prey for many natural enemies. Therefore, scale-infested trees may conserve natural enemies in their canopies and in nearby plants. We examined if scale-infested oaks—<em>Quercus</em> <em>phellos</em> L.—hosted more natural enemies than scale-uninfested oaks—<em>Q</em>. <em>acutissima</em> Carruth. and <em>Q</em>. <em>lyrata Walter</em> in Raleigh, NC. USA. We also tested if natural enemies were more abundant in holly shrubs (<em>Ilex</em> spp.) planted below scale-infested compared to scale-uninfested oaks. We collected natural enemies from the canopies of both tree types and from holly shrubs planted below these trees. To determine if tree type affected the abundance of natural enemies that passively dispersed to shrubs, we created hanging cup traps to collect arthropods as they fell from trees. To determine if enemies became more abundant on shrubs below scale-infested compared to scale-uninfested trees over short time scales, we collected natural enemies from holly shrubs below each tree type at three to six-day intervals. Scale-infested trees hosted more natural enemies than scale-uninfested trees and shrubs below scale-infested trees hosted more natural enemies than shrubs under scale-uninfested trees. Natural enemy abundance in hanging cup traps did not differ by tree type; however, shrubs underneath scale-infested trees accumulated more natural enemies than shrubs under scale-uninfested trees in six to nine days. Tolerating moderate pest densities in urban trees may support natural enemy communities, and thus biological control services, in shrubs below them.</p>
MarsQuakeNet: A More Complete Marsquake Catalogue Obtained by Deep Learning Techniques (Supporting Material, JGR Planets)
<p>Supporting Material (JGR Planets, 2022JE007503) - contains:</p> <ul> <li>Extended marsquake catalogue</li> <li>List of all detections</li> <li>Sol-wise predictions</li> <li>Snapshot of MarsQuakeNet code</li> </ul> <p>MarsQuakeNet code (dynamic version) also available from: https://github.com/niko-d/MarsQuakeNet.git</p>
Supporting Dataset for Fault Friction Derived from Fault Bend Influence on Coseismic Slip During the 2019 Ridgecrest Mw 7.1 Mainshock
<p>Supporting Dataset for Fault Friction Derived from Fault Bend Influence on Coseismic Slip During the 2019 Ridgecrest M<sub>w</sub> 7.1 Mainshock, JGR</p> <p>See Readme text files for details. </p>
Figure 2 in Integrated taxonomy supports the identification of some species of Phytoseiidae (Acari: Mesostigmata) from Georgia
Figure 2 Neighbour joining phylogenetic trees includingTranseius wainsteini from Georgia, Amblyseius swirskii, Amblyseius andersoniand Euseius stipulatus (as an outgroup) obtained with a – COI mtDNA, b – CytB mtDNA and c – 12S rRNA markers.
Text-fig. 7. Scanning electron micrographs (a, b, d, e, g–k), X-ray microtomographic orthoslices (c) and synchrotron radiation X-ray tomographic microscopy orthoslices (f) of fruits and endocarps of uncertain affinity from Zliv-Řídká Blana locality. a–c: Trebecenia sarcocalis, a – tricarpellate fruit, no. NM-F 3637, b – fruits supported by pentamerous and persistent calyx, no. NMF 3637, c – fruit almost circular in transverse section, no. NM-F 3637; d: Taxon 17, small fruit with slightly sunken stylar region, no. NM-F 3201; e: Taxon 19, spherical fruit, the fruit wall composed of large isodiametric, thick walled cells, no. NM-F 3181; f: Taxon 19, single-seeded fruit, no. NM-F 3621; g: Taxon 20, syncarpous, multicarpellate fruit of ten carpels, no. NM-F 3200; h: Taxon 22, syncarpous, multicarpellate fruit of seven carpels, no. NM-F 3159; i: cf. Sabia menispermoides, endocarp of drupaceous fruits, no. NM-F 4624; j: Taxon 25, endocarp triangular in cross-section, no. NM-F 3218; k: Taxon 24, endocarp spherical in cross-section with a distinctly ribbed and foveolate surface, no. NM-F 3217. in Plant Mesofossils From The Late Cretaceous Klikov Formation, The Czech Republic
Text-fig. 7. Scanning electron micrographs (a, b, d, e, g–k), X-ray microtomographic orthoslices (c) and synchrotron radiation X-ray tomographic microscopy orthoslices (f) of fruits and endocarps of uncertain affinity from Zliv-Řídká Blana locality. a–c: Trebecenia sarcocalis, a – tricarpellate fruit, no. NM-F 3637, b – fruits supported by pentamerous and persistent calyx, no. NMF 3637, c – fruit almost circular in transverse section, no. NM-F 3637; d: Taxon 17, small fruit with slightly sunken stylar region, no. NM-F 3201; e: Taxon 19, spherical fruit, the fruit wall composed of large isodiametric, thick walled cells, no. NM-F 3181; f: Taxon 19, single-seeded fruit, no. NM-F 3621; g: Taxon 20, syncarpous, multicarpellate fruit of ten carpels, no. NM-F 3200; h: Taxon 22, syncarpous, multicarpellate fruit of seven carpels, no. NM-F 3159; i: cf. Sabia menispermoides, endocarp of drupaceous fruits, no. NM-F 4624; j: Taxon 25, endocarp triangular in cross-section, no. NM-F 3218; k: Taxon 24, endocarp spherical in cross-section with a distinctly ribbed and foveolate surface, no. NM-F 3217.
Text-fig. 3. Scanning electron micrographs of Normapolles flowers/fruits from Zliv-Řídká Blana locality. a: Budvaricarpus serialis, aggregation of laterally fused fruits supported by a common bract (br – bract, hp – hypanthium), no. NM-F 3160; b: Budvaricarpus sp., aggregation of laterally fused fruits supported by several bracts, no. NM-F 3619; c: Caryanthus trebecnsis, reproductive unit consists of three bisexual, epigynous flowers/young fruits, no. NM-F 3286; d: Dahlergeniantus sp., hypogynous flower with radial symmetry, no. NM-F 4495; e: Calathiocarpus sp., epigynous flower with radial symmetry, no. NM-F 4631; f: Caryanthus sp. 1, ribbed fruit–nut of deltoid shape, no. NM-F 3208; g: Zlivifructus vachae, bisymmetrical flower with four tepals and four stamens, no. NM-F 3172; h: Taxon 3, ribbed fruit of Normapolles affinity, no. NM-F 3724. in Plant Mesofossils From The Late Cretaceous Klikov Formation, The Czech Republic
Text-fig. 3. Scanning electron micrographs of Normapolles flowers/fruits from Zliv-Řídká Blana locality. a: Budvaricarpus serialis, aggregation of laterally fused fruits supported by a common bract (br – bract, hp – hypanthium), no. NM-F 3160; b: Budvaricarpus sp., aggregation of laterally fused fruits supported by several bracts, no. NM-F 3619; c: Caryanthus trebecnsis, reproductive unit consists of three bisexual, epigynous flowers/young fruits, no. NM-F 3286; d: Dahlergeniantus sp., hypogynous flower with radial symmetry, no. NM-F 4495; e: Calathiocarpus sp., epigynous flower with radial symmetry, no. NM-F 4631; f: Caryanthus sp. 1, ribbed fruit–nut of deltoid shape, no. NM-F 3208; g: Zlivifructus vachae, bisymmetrical flower with four tepals and four stamens, no. NM-F 3172; h: Taxon 3, ribbed fruit of Normapolles affinity, no. NM-F 3724.
Text-fig. 6. Correlation of the Cheringoma and Mazamba formations on the basis of benthic foraminiferans and mammals respectively. Identifications of foraminiferans are from Newton (1924) and Abrard (1928), and the ranges of foraminiferans are from Sella-Kiel et al. (1998). The time scale is from Gradstein et al. (2020). The distribution of Nummulites atacicus is included, but it is not known whether it is reworked from older deposits. If the identification is valid, it would support the thesis that there was a period of Ypresian deposition in the vicinity during which remains of the species were fossilised. in Stratigraphy, Chronology And Palaeontology Of The Tertiary Rocks Of The Cheringoma Plateau, Mozambique
Text-fig. 6. Correlation of the Cheringoma and Mazamba formations on the basis of benthic foraminiferans and mammals respectively. Identifications of foraminiferans are from Newton (1924) and Abrard (1928), and the ranges of foraminiferans are from Sella-Kiel et al. (1998). The time scale is from Gradstein et al. (2020). The distribution of Nummulites atacicus is included, but it is not known whether it is reworked from older deposits. If the identification is valid, it would support the thesis that there was a period of Ypresian deposition in the vicinity during which remains of the species were fossilised.
Data for: Weak, but not strong, ties support coalition formation among wild female chimpanzees
<div> <div> <div> <div> <p>In social species, individuals may be able to overcome competitive constraints on cooperation by leveraging relationships with familiar, tolerant partners. While strong social ties have been linked to cooperation in several social mammals, it is unclear the extent to which weak social ties can support cooperation, particularly among non-kin. We tested the hypothesis that weakly affiliative social relationships support cooperative coalition formation using 10 years of behavioural data on wild female chimpanzees. Female chimpanzees typically disperse and reside with non-kin as adults. Their social relationships are differentiated but often relatively weak, with few dyads sharing strong bonds. Females occasionally form aggressive coalitions together. Three measures of relationship quality - party association, five-meter proximity, and whether a dyad groomed - positively predicted coalitions, indicating that relationship quality influenced coalition partnerships. However, dyads that groomed frequently did not form more coalitions than dyads that groomed occasionally, and kin did not cooperate more than expected given their relationship quality. Thus, strong bonds and kinship did not bolster cooperation. We conclude that cooperative coalitions among female chimpanzees depend on social tolerance but do not require strong bonds. Our findings highlight social tolerance as a distinct pathway through which females can cultivate cooperative relationships.</p> </div> </div> </div> </div>
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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
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.