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4,480 results for “initiative”
Cosmological Initial Conditions (3D magnetic fields for an alfa=1.0 magnetic spectrum) for 85Mpc^3
<p>Files representing the initial conditions at z=40 for ENZO-MHD cosmological simulation of a comoving 85Mpc^3 volume, for tangled magnetic fields from an alfaB=1.0 initial spectrum of magnetic fluctuations. The simulation has 1024^3 cells and 1024^3 DM particles. These data are in binary format and can be read by the ENZO code.</p> <p>More details of the simulations and on it cosmological parameter can be found at:</p> <ul> <li>https://ui.adsabs.harvard.edu/abs/2021Galax...9..109V/abstract</li> <li>https://ui.adsabs.harvard.edu/abs/2021MNRAS.500.5350V/abstract</li> <li>https://ui.adsabs.harvard.edu/abs/2017CQGra..34w4001V/abstract</li> </ul>
Cosmological Initial Conditions (3D magnetic fields for an alfa=2.0 magnetic spectrum) for 85Mpc^3
<p>Files representing the initial conditions at z=40 for ENZO-MHD cosmological simulation of a comoving 85Mpc^3 volume, for tangled magnetic fields from an alfaB=2.0 initial spectrum of magnetic fluctuations. The simulation has 1024^3 cells and 1024^3 DM particles. These data are in binary format and can be read by the ENZO code.</p> <p>More details of the simulations and on it cosmological parameter can be found at:</p> <ul> <li>https://ui.adsabs.harvard.edu/abs/2021Galax...9..109V/abstract</li> <li>https://ui.adsabs.harvard.edu/abs/2021MNRAS.500.5350V/abstract</li> <li>https://ui.adsabs.harvard.edu/abs/2017CQGra..34w4001V/abstract</li> </ul>
Tsunami Initial Profile and Maximum Runup through Earthquake Source Parameters
<p>The fitting database for 7840 earthquake (tsunami) source scenarios and corresponding N-wave parameters.</p>
Code and initial metapopulation data for model construction and simulation analyses for: Genetic rescue from protected areas is modulated by migration, hunting rate and timing of harvest
<p>Migrants from protected areas may buffer the risk of harvest-induced evolutionary changes in exploited populations that face strong selective harvest pressures in both terrestrial and marine ecosystems. Understanding the mechanisms favouring genetic rescue through migration could help ensure sustainable harvest outside protected areas and conserve genetic diversity inside those areas. We developed a stochastic individual-based metapopulation model to evaluate the potential for migration from protected areas to mitigate the evolutionary consequences of selective harvest. We parameterized the model with detailed data from individual monitoring of two populations of bighorn sheep subjected to trophy hunting. We tracked horn length through time in a metapopulation including large protected and trophy-hunted populations connected through male breeding migrations. We quantified and compared declines in horn length and rescue potential under various combinations of migration rate, hunting rate in hunted areas and temporal overlap in timing of harvest and migrations, which affects the migrants' survival and chances to breed within exploited areas. Our simulations suggest that the effects of size-selective harvest on male horn length in hunted populations can be dampened or avoided if harvest pressure is low, migration rate is substantial, and migrants have a low risk of being shot. Intense size-selective harvest impacts the phenotypic and genetic diversity in horn length, and population structure through changes in proportions of large-horned males, sex ratio and age structure. When hunting pressure is high and overlaps with male migrations, effects of selective removal also emerge in the protected population, so that instead of a genetic rescue of hunted populations, our model predicts undesirable effects inside protected areas. Our results stress the importance of a metapopulational approach to management, to promote genetic rescue from protected areas and limit ecological and evolutionary impacts of harvest on both harvested and protected populations.</p>
Initial Observations for the Destructive Earthquake Doublet of 6 February 2023 in South-Central Türkiye and Northwestern Syria
<p>This dataset is provided as supplementary material to the published paper "The Destructive Earthquake Doublet of 6 February 2023 in South-Central Türkiye and Northwestern Syria : Initial Observations and Analyses" (<em>The Seismic Record</em>, <a href="https://urldefense.com/v3/__https://doi.org/10.1785/0320230007__;!!Nmw4Hv0!3WB4F-6tmOGbOLPRhUkYZ-WFKNU4M33J2_WUvxmcPRrhpgtBblHGGJ3fuNm4hfSUm8zjvwBesiBCkWRMBKGM93LqEmPAUVL8FqE$">https://doi.org/10.1785/0320230007</a>).</p> <p>Included here are: the coordinates of the surface rupture used for modeling, and the preliminary three-dimensional coseismic surface displacements field (east-west, north-south, and vertical) derived via pixel-offset tracking of Sentinel-1 SAR images.</p> <p>The ascii-file “fault_trace_for_modeling.txt” includes longitude and latitude coordinates of the rupture trace.<br> The matlab-file ENU_Turkiye_S1.mat includes<br> enu: the east, north, and vertical displacement components<br> coor: the coordinate information for the enu matrix<br> fault: the coordinate of surface ruptures mapped from the SAR-pixel offset tracking result<br> mask: indicates the area for which the 3D displacements are plausible near the Golbasi basin due to the possible existence of water</p> <p>Original Sentinel-1 SAR images are available via the Copernicus hub at <a href="https://urldefense.com/v3/__https://scihub.copernicus.eu__;!!Nmw4Hv0!3WB4F-6tmOGbOLPRhUkYZ-WFKNU4M33J2_WUvxmcPRrhpgtBblHGGJ3fuNm4hfSUm8zjvwBesiBCkWRMBKGM93LqEmPA9j-Kbj8$">https://scihub.copernicus.eu</a>. The coseismic 3D surface displacements are preliminary results, and further improvements by incorporating ALOS-2 data and inspecting local regions are ongoing. The surface rupture traces used for modeling are mapped based on the SAR-pixel offset tracking result as well as the geomorphology alongside.</p> <p>Date submitted: June 3, 2023</p>
Does V1 response suppression initiate binocular rivalry?
<p><strong>Using this dataset</strong></p> <p>As Cell Press authors, we share all of the data and original code we report in our paper with the research community. This dataset contains stimulus-locked multi-units responses for each recording session analyzed and reported in the associated manuscript at iScience.</p> <p>Please download and extract eventTriggeredData.zip into a file on your MATLAB path.</p> <p>For generating the figures reported in the manuscript, please use our custom MATLAB repository published on GitHub at: https://github.com/BrockMCarlson/BMC_AdaptdcosFigures.</p> <p>Download the GitHub repository, follow the setup instructions in the ReadMe, and run the Controller_iScienceSubmission.mlx live script. </p> <p>IDX_iScienceSubmission.mat, JASP_sustained.csv, & JASP_transient.csv are files created by Controller_iScienceSubmission.mlx. You do not need to download them, but they are included in this Zenodo directory for your reference.</p> <p> </p> <p><em><strong>Does V1 response suppression initiate binocular rivalry?</strong></em></p> <p><strong>HIGHLIGHTS</strong></p> <ul> <li>The role of primary visual cortex (V1) for binocular rivalry (BR) is unclear.</li> <li>V1 population spiking is reduced at the onset of BR, providing a potential trigger.</li> <li>However, this broad spiking suppression in does not occur for a variant of BR.</li> <li>The BR variant reduces subpopulation responses, a potential alternate trigger.</li> </ul> <p> </p> <p><strong>SUMMARY</strong></p> <p>In binocular rivalry (BR) only one’s view is perceived. The neural underpinnings of BR are debated. Recent studies suggest that primary visual cortex (V1) initiates BR. One such trigger might be response-suppression across most V1 neurons at the onset of BR. Here we utilize a variant of BR called binocular rivalry flash suppression (BRFS) to test this hypothesis. BRFS is identical to binocular rivalry, except stimuli are shown with a ~1s delay. If V1 response suppression was required to initiate BR, it should occur during BRFS as well. To test this hypothesis, we compared V1 spiking in two macaques observing BRFS. We found that BRFS resulted in response-facilitation rather than response-suppression across V1 neurons. However, BRFS still reduces responses in a subset of V1 neurons due to the adaptive effects of asynchronous stimulus presentation. We argue that this selective response suppression could serve as an alternate initiator of BR.</p>
Initiation Process of a Winter Cloud-to-Ground Lightning Flash
<p>Lightning location results data. This dataset includes complete data, which means it has not undergone quality control. The time needs to be subtracted from the corresponding paper (Initiation Process of a Winter Cloud-to-Ground Lightning Flash) by 1.165ms.</p>
Data files for manuscript "Re-evaluation and Re-analysis of 152 research exomes five years after the initial report reveals clinically relevant changes in 18%"
<p>#2023-06-16<br> #Summary<br> This ZIP-file contains the data files used for all analyses for the manuscript "Re-evaluation and Re-analysis of 152 research exomes five years after the initial report reveals clinically relevant changes in 18%".</p> <p><br> #File structure<br> README.txt This README file.<br> File S02 ("FileS2_conNDD-cohort.xlsx") All variants identified by Reuter et al. previously with reevaluated variants and addition variants identified in this <br> project togetehr with information about the families, individuals, samplesand the BAM files assessed in this project.<br> File S03 ("FileS3_conNDD-variants.xlsx") All variant data analyzed from the cohort. Including a sheet with thresholdes for in silico predictions tools used to predict effect of variants, <br> a table with exome wide homozygous variants in 4 categories (A45, LGD, Missense, Splice), a table with exome wide variants in 4 categories (A45, LGD, Missense, Splice)<br> filtered for domiant genes associated with neurodevelopmental disorders in SysID (Prime and Candidate list), a table with exome wide variants in 4 categories (A45, LGD, Missense, Splice) filtered for recessive genes associated with neurodevelopmental disorders in SysID (Prime and Candidate list), a table withcopy number (CN) calls for the cohort and a table withcalls for runs of homozygosity (RoH) regions.</p> <p>#Files and checksums<br> 29c4b2f3dd8985d268f50dd3e0265798 ./FileS2_conNDD-cohort.xlsx<br> a054334637b8b22a9bf743db1e348663 ./FileS3_conNDD-variants.xlsx<br> </p>
Initial Sample of HYPERNETS Hyperspectral Surface Reflectance Measurements for Satellite Validation from the agricultural land at Demmin, Germany
<p>The HYPERNETS project (www.hypernets.eu) aims to ensure that high-quality in situ measurements are available to support the (VNIR/SWIR) optical Copernicus products. Therefore, it established a new autonomous hyperspectral spectroradiometer (HYPSTAR® - www.hypstar.eu) dedicated to land and water surface reflectance validation with instrument-pointing capabilities. In the prototype phase, the instrument is being deployed at 24 sites covering a range of water and land types and a range of climatic and logistic conditions. This dataset provides the first published data for the HYPERNETS site in Demmin, Germany [53°52'5.80"N,13°16'6.80"E] (DEGE). It is a subset of the complete data record, consisting of the measurements withEthaturements which could be used for satellite validation. </p> <p>The provided NetCDF files are the L2A hypernets products with surface reflectances, their associated uncertainties and error-correlation information. The reflectance in the L2A products is the Hemispherical-directional Reflectance Factor (HDRF) defined as HDRF = π L / E where L is the directional upwelling radiance (with the field o, view of 5 degrees), and E is the (hemispherical) downwelling irradiance (i.e. including both direct solar and diffuse sky irradiance). These reflectances have dimensions of wavelength and series, where each series is a set of measurements for a given geometry (combination of viewing zenith and azimuth angle). In addition to variables for wavelength and bandwidth, the files also contain variables that provide for each series the acquisition time, viewing and solar angles, number of valid scans used, and quality flags (typically, no flags are set in the data provided in this dataset). These NetCDF files also contain further relevant metadata as attributes. See https://hypernets-processor.readthedocs.io/ for further info.</p> <p>The HYPSTAR®-XR sensor was installed on 22 July 2021 at the top of a 10m mast on an extended 5 m horizontal boom to minimise interruption of the field of view. The boom faces South at the right angle towards bare soil. The mast is located at 53.868278°N, 13.268556°E. Data are collected every 30 minutes between 9:00 and 17:00 (UTC) from different zenith and azimuth angles.</p> <p>The HYPSTAR®-XR (eXtended Range) instruments deployed at each land HYPERNETS site consist of a VNIR and a SWIR sensor and autonomously collect data between 380-1700 nm at various viewing geometries and send it to a central server for quality control and processing. The VNIR sensor spans 1330 channels between 380 and 1000 nm with an FWHM of 3 nm, and the SWIR sensor has 220 channels between 1000 and 1700 nm with an FWHM of 10 nm. The hypernets_processor (Goyens et al. 2021; De Vis et al. in prep.) automatically processes all this data into various products, including the L2A surface reflectance product provided here. All products have associated uncertainties (divided into random and systematic uncertainties, including error-correlation information) propagated using the CoMet toolkit (www.comet-toolkit.org). </p> <p>To obtain this dataset, we start from the full DEGE data record and omit all the data that do not pass all quality checks performed as part of the hypernets_processor. In addition, an additional screening procedure was also developed to remove outliers and supply the best quality data suitable for satellite validation. To remove the outliers, a sigma-clipping method is used. First, reflectances are extracted in separate 2-hour windows throughout the day (to account for BRDF differences due to different solar positions) for four different wavelengths (500, 900, 1100 and 1600 nm). Outliers in these reflectances are then identified by iteratively calculating the mean reflectance trend with time (by binning the data per maximum of 30 data points), calculating the standard deviation from this trend, and masking any data that is more than three standard deviations away from the trend. This process is repeated on the unmasked data until the standard deviation does not vary by more than 5% between two iterations. The masks for the four different wavelengths are then combined (keeping only measurements for which none of the four wavelengths is an outlier). The reflectances and associated uncertainties for any masked series (i.e. a geometry that is masked either by the sigma-clipping procedure or from the masks of the hypernets_processor) are replaced by NaNs. Any sequence that has more than half of its series masked is removed entirely. </p>
Figure 6 in Initiation and early development of the postcanine deciduous dentition in the dasyurid marsupial Dasyurus viverrinus
Figure 6. Dasyurus albopunctatus pouch young: a, (AMNH 190927; 36.64 mm skull length). Erupting teeth in the upper jaw with canine about ½ erupted. The dP1 is almost completely erupted and P3 is in early eruption. A tiny, slender dP3 is lying on the distal margins of the erupting P3, pointing posteriorly; its apex is not evident. M1 is erupted and the M2 is about ¾ erupting (not shown); b, (AMNH 221650; 37.53 mm skull length) slightly older than the preceding. The dP1 is erupted in the upper jaw and P3 is erupting (½–⅔). A tiny, elongate dP3 is evident along the posterior margins of the erupting P3; c, (BBM – NG 28247; 37.89 mm skull length). The dP1 is erupted, and the P3 is almost completely erupted in the upper jaw. A tiny, slender and elongate dP3 is evident along the distal margin of P3 and its root extends distally beneath the anterior opening of the infraorbital canal; d, (BBM – NG 97868; 47.25 mm skull length). In this older young, the P3 is almost completely erupted in the upper jaw. A tiny, slender root remnant of dP3 is evident, distal to the buccal end of P3.
Figure 4 in Initiation and early development of the postcanine deciduous dentition in the dasyurid marsupial Dasyurus viverrinus
Figure 4. Parasagittal section through the dentition in a 25-day-old pouch young (12.5 mm head length) showing the developing teeth between dP1 and M2 in the upper jaw. Arrowhead refers to the site of the missing dP2. Abbreviation: D, location of developing dP3 follicle.
Figure 2 in Initiation and early development of the postcanine deciduous dentition in the dasyurid marsupial Dasyurus viverrinus
Figure 2. Transverse sections of early developmental stages of the dentition in marsupials: a, early tooth bud forming from the dental lamina; b, early-cap stage; c, middle-bell stage with elongate dental lamina; d, late-bell stage with odontoblasts and early lingual successional lamina; e, well-developed late-bell stage with dentin and enamel. A successional early-cap stage develops from the lingual successional lamina, showing early fragmentation of the dental lamina. Abbreviations: AM, ameloblasts; D, dentin; DL, dental lamina; DP, dental papilla; E, enamel; IEE, inner enamel epithelium; OD, odontoblasts; OEE, outer enamel epithelium; SL, successional lamina; SR, stellate reticulum; TB, tooth bud.
Figure 1 in Initiation and early development of the postcanine deciduous dentition in the dasyurid marsupial Dasyurus viverrinus
Figure 1. Four early pouch young of Dasyurus viverrinus: a, 30 hours old, 3.25 mm head length (HL); b, 5–6 days old, 4.5 mm HL; c, 14 days old, 8 mm HL; d, 25 days old, 12.5 mm HL.
Figure 3 in Initiation and early development of the postcanine deciduous dentition in the dasyurid marsupial Dasyurus viverrinus
Figure 3. Transverse section through the head at the level of the developing eyes in a 10-day-old Dasyurus viverrinus embryo (7 mm head length). Note the close compression between the large tongue (T) and the nipple (N). No developing teeth are evident.
ExeterDigitalHumanities/hardy-correspondents: v1.0.0 Initial Release
<p>Initial public release of all texts approved at time of launch.</p> <p>The texts can also be viewed at: https://hardycorrespondents.exeter.ac.uk/</p>
Selection process of articles for a systematic literature review on citizen science initiatives in school contexts
<p>Selection process of articles for a systematic literature review on citizen science initiatives in school contexts. Initial records are extracted from Web of Science database from 2000 to 2021. We used the keyword "citizen science" in the title mixed with some keywords in the topic of the search: “classroom” or “school” or “student*” or “pupil” or “learning”.</p> <p>The different database sheets inform about the application of the inclusion and exclusion criteria applied.</p>
Datasets for "Inverse cascading for initial MHD turbulence spectra between Saffman and Batchelor"
<pre>This directory contains an index.html file with links to the run directories and idl plotting routines with secondary data for the other figures for the paper "Inverse cascading for initial MHD turbulence spectra between Saffman and Batchelor". If anything turns out to be incomplete, please email brandenb@nordita.org.</pre>
Data set for the article "Synchronous replication initiation of multiple origins"
<p>This data set contains the data of the submitted article "Synchronous replication initiation of multiple origins". The data was generated using simulations in python that are linked below. Experiments indicate that E. coli initiates DNA replication at multiple origins synchronously in fast growth conditions. We study by mathematical modelling under what conditions replication is initiated synchronously.</p>
Dataset for "Terrane collision-induced subduction initiation: Mode selection and implications for western Pacific subduction system"
<p>Numerical results for "<strong>Terrane collision-induced subduction initiation: Mode selection and implications for western Pacific subduction system</strong>".</p>
Output raster datasets from Apalachicola Regional Restoration Initiative Open Pine Ecological Condition Model (2023)
<p>Output raster datasets from the 2023 Ecological Condition Model (ECM) for open pine ecosystems in the Apalachicola Regional Restoration Initiative (ARRI) area of the eastern Florida Panhandle. Our goal was to develop an ECM that would span all lands in the Apalachicola Regional Restoration Initiative (ARRI) area. As such, we used only datasets that were available throughout this region and did not rely on any corporate data layers from specific landowners. Furthermore, we sought to assess ecological condition at a high enough resolution to inform management decisions down to the level of individual forest stands. By taking this approach, we hoped to create ecological condition scores that could be used to inform restoration activities across all lands, and which could be updated through time to measure progress and to gauge the effectiveness of management activities.</p> <p>Output raster datasets include ecological condition for canopy, midstory and groundcover/shrub layers as well as overall ecological condition. Each raster contains ranked scores of estimated ecological condition: 1- Excellent, 2- Good, 3-Fair, and 4-Poor. </p> <p>NOTE- These outputs were created using tools stored in this repository: <a href="https://doi.org/10.5281/zenodo.8236853">https://doi.org/10.5281/zenodo.8236853</a> as well as several raster input layers stored in this repository: https://doi.org/10.5281/zenodo.8234220. </p> <p> </p> <p> </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.