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424 results for “compilation”
Data for: Impact of SO2 injection profiles on simulated volcanic forcing for the Sarychev 2009 eruptions - investigating the importance of using high vertical resolution methods when compiling SO2 data
<p>The files are data assosicated with the study High-resolution stratospheric volcanic SO2 injections in WACCM. The files are associated with four differnt simulaions described in the paper: M16, S21-1D, S21-3D and No-Volc. The files with "input" in the name are the SO2 input files used in the WACCM (Whole Atmosphere Community Climate Model) simulations in the paper. The files with "monthly_averages" in the filenames are monthly averages of model output data the variables used in the paper. </p> <p>The CALIOP_monthly_averages.nc file is monthly average of the CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) satellite data used in the study to evaluate the WACCM simulations. </p> <p> </p>
Compilation of Digital Tools on Food Green House Gas Mitigation (CHOICE Project)
<p>A compilation of digital tools to support behaviour change and action to food mitigation measures. The compilation was created for the CHOICE Horizon Europe project (Grant Agreement -101081617).</p>
Paired field measurements of suspended-sediment concentration, turbidity, acoustic backscatter, and particle size compiled from various estuaries in the United States and Australia
<p>Field measurements of suspended-sediment concentration, turbidity, acoustic backscatter, and particle size are compiled from various estuaries in the United States and Australia to investigate the utility of combining optical and acoustic backscatter measurements for the estimation of suspended-sediment concentration under changes in floc particle size and density. </p> <p>Theory, analysis, and interpretation of the data is available in Livsey et al (2023). Data collected from the Chesapeake Bay, US were compiled from Fall et al (2022). Data collected on the Brisbane River were collected by Livsey et al (2022). Data collected for all other locations were compiled from Livsey et al (2022). </p> <p>Data collected by Fall et al (2022) utilized a LISST 100x. Data collected by Livsey et al (2022, 2023) utilized a LISST 200x. Data files for each instrument are provided. </p> <p>Funding for this research was provided by an Advance Queensland Industry Research Fellowship, Queensland University of Technology, and Queensland Department of Environment and Science.</p> <p>References</p> <p>Fall, Kelsey A., Massey, Grace M., and Friedrichs, Carl T., (2020). The importance of organic content to fractal floc properties in estuarine surface waters, insights from video, LISST, and pump sampling: Supporting data. Data. William & Mary. https://doi.org/10.25773/7gbc-794 6739</p> <p>Livsey, D., Turner, R., Grace, P., and Crosswell, & Andy Steven. (2022). Field and laboratory measurements of suspended-sediment particle size and concentration from nine rivers draining to the Great Barrier Reef (1.0). Data. Zenodo. https://doi.org/10.5281/zenodo.6788303</p> <p>Livsey, D., Turner, R., and Grace, P. (2023). Combining optical and acoustic backscatter measurements for monitoring of fine suspended-sediment concentration under changes in particle size and density. Water Resources Research. <a href="https://doi.org/10.1029/2022WR033982">https://doi.org/10.1029/2022WR033982</a></p> <p> </p>
Books of hours as codified compilations of compilations: dataset and code
<p><strong>Dataset, code </strong>to produce the figures, additional figures and visualizations for the following contribution:</p> <p><strong>Stutzmann</strong>, Dominique, and <strong>Chevalier</strong>, Louis, "Books of hours as codified compilations of compilations Textual networks and hybrid liturgical uses", <em>Journal of Historical Network Research</em> 9 (2023) 146 – 199, doi:10.25517/jhnr.v9i1.139</p> <pre><code>@article{stutzmann_books_2023, title = {Books of hours as codified compilations of compilations {Textual} networks and hybrid liturgical uses}, volume = {9}, doi = {10.25517/jhnr.v9i1.139}, language = {en}, journal = {Journal of Historical Network Research}, author = {Stutzmann, Dominique and Chevalier, Louis}, year = {2023}, pages = {146--199}, } </code></pre> <p>Books of hours were the medieval best-seller. The referenced article aims to change how we study the textual content of books of hours by tackling the most common texts at a large scale. Intended for lay people and imitating the model of liturgical books, books of hours contain a core of votive offices and appear to have a very standardized content. The choice and the order of the chants, readings and orations may vary within the offices according to not only the liturgical destination, but also the place of production, the target export market, and the choices of the client. Variations are therefore difficult to characterize and analyze. Here, we focus on an analysis of the Hours of the Virgin and the Office of the Dead as both compilations and networks of compilations. At the level of texts and liturgical uses, we highlight and study textual commonalities based on geography or other historical links (e.g.<br> Germany, the Dominican order and Southern France for the Hours of the Virgin, Flanders and Scandinavia, Poitiers and Bordeaux, Auxerre and Bayeux for the Office of the Dead). Since patrons or copyists could also modify the expected contents, our last part analyses the uses by Utrecht and Bruges, and how uses specific to one institution may either be faithfully reproduced or give way to hybridization. This phenomenon is characterized, for example, by changes between pieces from another use into a well-identified set.</p>
An annotated compilation of chronometric dates for the Middle-Upper Palaeolithic Transition (45-30 ka BP) in northern Iberia (Spain). Source Data.
<p>This repository contains the files of the chronometric dates framed between 45-30 ka BP in Northern Iberia.</p>
Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): Compiled Half-Hourly Dataset, 2009-2021
The Carbon in Permafrost Experimental Heating Research (CiPEHR) project addresses the following questions: 1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C, that comprises the bulk of the soil C pool, influence ecosystem C loss?, and 3) How do winter and summer warming alone, and in combination, affect ecosystem C exchange? We are answering these questions using a combination of field and laboratory experiments to measure ecosystem carbon balance and radiocarbon isotope ratios at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range.
Adsorption kinetics data sets, compiled from the literature. As used in the research article "A revised pseudo-second order kinetic model for adsorption, sensitive to changes in adsorbate and adsorbent concentrations"
<p>Data sets reporting experimental adsorption kinetics, compiled from the literature. These data sets were subjected to empirical analysis in the development of our revised pseudo-second order rate equation (the rPSO model) as discussed in the ChemRxiv pre-print "<a href="https://chemrxiv.org/articles/preprint/A_Revised_Pseudo-Second_Order_Kinetic_Model_for_Adsorption_Sensitive_to_Changes_in_Sorbate_and_Sorbent_Concentrations/12008799">A Revised Pseudo-Second Order Kinetic Model for Adsorption, Sensitive to Changes in Sorbate and Sorbent Concentrations</a>".</p>
Compilation of cumulative fission yields for Xe-131, Xe-131m, Xe-133, Xe-133m, Xe-135 and Xe-135m
<p>Values on cumulative fission yields for the Xenon isotopes <sup>131</sup>Xe, <sup>131m</sup>Xe, <sup>133</sup>Xe, <sup>133m</sup>Xe, <sup>135</sup>Xe and <sup>135m</sup>Xe were compiled from the nuclear data libraries ENDF/B-VIII.0, GEFY-8.1, JEFF-3.3 and JENDL-4.0, partly available via the Nuclear Data Services of the the International Atomic Energy Agency. This dataset lists the collected values and their uncertainties as reported.</p>
Datasets for: AERO-MAP: A data compilation and modelling approach to understand the fine and coarse mode aerosol composition
<p>This repository contains the data compilation, gridded datasets, model output, model source code changes and model inputs for the paper: “AERO-MAP: A data compilation and modelling approach to understand the fine and coarse mode aerosol composition “.</p> <p>The only change from the December 20, 2024 version is that a new variable "Distinct" is added which indicates whether the dataset is also included in the GHOST dataset by Bowdalo et al., 2024: https://essd.copernicus.org/articles/16/4417/2024/essd-16-4417-2024.pdf. All PM2.5 and PM10 datasets from GHOST are included in this dataset, but GHOST will be regularly updated.</p> <p> </p> <p>There are two subdirectories as tar files:</p> <p>collectoutputfiles.zip: which contains the detailed data descriptions in a csv files, gridded data in netcdf and model output in netcdf format. More details in the README file in that zipped directory.</p> <p>modelfiles.zip: which contains the Source code changes and input files needed to reproduce the simulations in the paper. More details in the README file in that zipped directory.</p>
IonSolv-Aq Dataset for: Experimental Compilation and Computation of Hydration Free Energies for Ionic Solutes
<p>This repository includes datasets and supplementary materials for the manuscript "Experimental Compilation and Computation of Hydration Free Energies for Ionic Solutes" by Jonathan W. Zheng and William H. Green. <strong>Citations should refer directly to the manuscript:</strong></p> <blockquote> <p>Zheng, J. W., & Green, W. H. (2023). Experimental Compilation and Computation of Hydration Free Energies for Ionic Solutes. <em>The Journal of Physical Chemistry A</em>, <em>127</em>(48), 10268-10281.</p> </blockquote> <p>This compilation includes experimental and computed solvation free energies for the compounds in the IonSolv-Aq dataset, as well as .xyz files for all conformers used in the corresponding work. The lower-quality set of data described in the manuscript is also available in the "extra-anion-data.zip" archive file.</p>
Compiled datasets and R codes for enzymatic activities in Atlantic salmon tissues
<p>Folder with two datasets of enzyme activities (CS and LDH) with associated details of fish, incuding genotypes, body size, and metabolic rates, and R codes for linear mixed models as described in the manuscript Prokkola et al (submitted 2023). See README file for more information.</p>
Compilation of parallel measurements comparing the temperatures recorded in Stevenson screens with those recorded in pre-Stevenson screen thermometer exposures
<p>Compilation of parallel measurements comparing the temperatures recorded in Stevenson screens with those recorded in pre-Stevenson screen thermometer exposures. This dataset accompanies Wallis et al. (2024); further details of the dataset and its creation can be found in the attached readme file and Wallis et al. (2024).</p> <p>---</p> <p><strong>References</strong></p> <p>Wallis, E.J., Osborn, T.J., Taylor, M., Jones, P.D., Joshi, M. & Hawkins, E. (2024) Quantifying exposure biases in early instrumental land surface air temperature observations. <em>International Journal of Climatology, </em>https://doi.org/10.1002/joc.8401</p>
Martian meteorite ejection ages compilation
<p>This dataset is a compilation of cosmic ray exposure (CRE) ages and terrestrial ages of martian meteorites (shergottites, nakhlites, chassignites, orthopyroxenite, and regolith breccia) in published literature as of July 2023. Igneous crystallization ages are listed where available; the dataset only lists meteorites with ejection age (CRE age with or without terrestrial age) data. The compilation is an update of an earlier version partially included in Udry et al. (2020). For meteorites with multiple reported CRE ages and terrestrial ages (the latter where available), a preferred age is given either based on an earlier compilation (in the 'Compilation Reference' field) or is calculated as the arithmetic average of multiple reported ages (in the 'Data Reference' field; for CRE ages only). In the latter case, the 'Compilation Reference' field is marked with 'this compilation'. Paired stones are combined under one entry.</p> <p>Note that this compilation is not an exhaustive listing of all CRE age, terrestrial age, or igneous crystallization age data reported for martian meteorites.</p> <p>This dataset contains two files: </p> <ol> <li>A spreadsheet (.xlsx) containing meteorite names, types, ejection age groups, CRE ages, terrestrial ages, ejection ages, data references, compilation references, list of nuclides measured, igneous crystallization ages, data references, and compilation references.</li> <li>A document (.docx) containing a list of references cited in this compilation.</li> </ol> <p><strong>References</strong></p> <p>C. D. K. Herd <em>et al.</em>, The source craters of martian meteorites: insights from a multi-method approach. <em>Lunar. Planet. Sci. Conf. </em><strong>LVI</strong>, abstract #2044 (2024).</p> <p>A. Udry <em>et al.</em>, What martian meteorites reveal about the interior and surface of Mars. <em>Journal of Geophysical Research: Planets</em> <strong>125</strong>, e2020JE006523 (2020).</p>
S89 | PRORISKPFAS | List of PFAS Compiled from NORMAN SusDat
<p>This is the collection associated with list S89 PRORISKPFAS, List of PFAS Compiled from NORMAN-SusDat on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>A compiled list of 4777 PFAS compounds occurring in NORMAN SusDat, created by merging SLE lists S9, S14, S25, S46, and S80 and searching for additional fluorinated content in SusDat. Provided by Kelsey Ng, EI. Manuscript in preparation entitled: "Target and suspect screening of PFAS in wastewater, river water, ground water and biota samples in the Danube River Basin"</p> <p>Mapping to CID and DTXSID provided by ECI. v0.1.2: fixed NS00111947 to correct structure (CID 85993549 not 53471611).</p>
Compiled database, code and raw data for the article "A Comprehensive Database of Leaf Temperature, Water, and CO2 Fluxes in Young Oil Palm Plants Across Diverse Climate Scenarios for the Evaluation of Functional-Structural Models"
<p>This dataset results from an experiment on young oil palm plants (<em>Elaeis guineensis</em>) in the Ecotron facility from CNRS in Montpellier. Four plants were put in a microcosm one by one with varying climatic conditions to investigate the effect of climate on leaf temperature, CO2, and H2O fluxes at the plant scale. The conditions were defined based on typical daily conditions from a location where it is grown (Libo, Indonesia), <em>i.e.</em>, a day with no rainfall and near-average air temperature and humidity. This base condition was then modified by adding more CO2 (400, 600 and 800ppm), less radiation (typical cloudy sky), and more or less temperature and vapour pressure deficit (± 30%).</p> <p>Find more details from the <code>README.md</code> file in the repository or from the associated <a href="https://github.com/PalmStudio/Biophysics_database_palm" target="_blank" rel="noopener">Github repository</a>.</p>
A compilation of experimental data on the mechanical properties and microstructural features of Ti-alloys
<p>A compilation of mechanical properties of 282 distinct multicomponent Ti-based alloys. The majority of the data was published in high-quality journals after 2010 (≈84%) and concerns alloys produced via an ingot metallurgy route, followed by solubilization and water quench (≈58%), considered a standard condition for β-Ti alloys. The dataset includes the chemical composition (in at.%), phase constituents, Young modulus, hardness, yield strength, ultimate strength, and elongation, among other relevant features. The authors established a blind-review procedure for 1/3 of the dataset to mitigate human error during data extraction.</p> <p>Files:</p> <ul> <li><strong>dax-ti-static.csv</strong>: static version of the dataset; can be easily imported into your preferred data processing software.</li> <li><strong>table1-static.md</strong>: detailed description of properties and additional fields included in the database; requires *markdown extra* syntax;</li> <li><strong>utils.py</strong>: a helper script to load and filter desired entries; dependencies are matplotlib (3.4.3+), numpy (1.21.2+), and pymatgen (2022.0.16+).</li> </ul> <p>For more information, please visit <strong>https://gitlab.com/comari/dax-ti</strong>.</p>
Compilation of hydrological datasets at the global scale
<p>Hydrological variables (evapotranspiration, precipitation, runoff, and terrestrial water storage) are distributed through several datasets that do not have the same characteristics (spatial and temporal coverage, spatial and temporal resolution). This dataset aims at providing a coherent gathering of all datasets available as of January 2021, covering at least the period from 2003 to 2014, and from 50°S to 50°N.</p> <p>This file contains:</p> <ul> <li>14 datasets for evapotranspiration (ERA5-Land, FLUXCOM, GLDAS2.2 CLSM2.5, GLDAS2.1 CLSM2.5, GLDAS2.1 NOAH3.6, GLDAS VIC4.1.2, GLDAS2.0 CLSM2.5, GLDAS2.0 NOAH3.6, GLDAS2.0 VIC4.1.2, GLEAM, JRA55, MERRA2, MOD16, and SEBBop)</li> <li>11 datasets for precipitation (CPC, CRU, ERA5-Land, PGF, GPCC, GPCP, GPM, JRA55, MERRA2, MSWEP, and TRMM)</li> <li>11 datasets for runoff (ERA5-Land, GLDAS2.2 CLSM2.5, GLDAS2.1 CLSM2.5, GLDAS2.1 NOAH3.6, GLDAS VIC4.1.2, GLDAS2.0 CLSM2.5, GLDAS2.0 NOAH3.6, GLDAS2.0 VIC4.1.2, GRUN, JRA55, and MERRA2)</li> <li>2 datasets for terrestrial water storage (GRACE CSR mascons, and GRACE JPL mascons)</li> </ul> <p>Each dataset is given as the original version (on a regular grid) and also as a post-treated file averaged for 189 river basins (whose borders are also provided).</p>
LLM generated Python Compiler Test Dataset
<p>This dataset is generated by integrating Large Language Models (LLMs) with AFL++ fuzzing to enhance compiler testing for CPython. It includes original Python test scripts created by LLMs such as Mistral 7B, Codellama 7B, and Gemma 7B, targeted at various compiler functionalities. These scripts were subjected to fuzzing, resulting in a rich collection of test cases that tests potential vulnerabilities. An optional minimization process with AFL-cmin refined the dataset, ensuring it focuses on test cases that significantly contribute to code coverage and bug discovery. This dataset serves as a valuable resource for improving compiler design and testing efficiency, supporting further research and development in AI-driven software testing methods.</p> <p>please see references for citations of software used in this development</p>
Compiled version of UniStuttgart-VISUS/tpeqd-rendered-transitions with rendered videos
<p>The compiled static files and the generated data and video for the UniStuttgart-VISUS/tpeqd-rendered-transitions (<a href="https://github.com/UniStuttgart-VISUS/tpeqd-rendered-transitions" target="_blank" rel="noopener">GitHub repository</a>) prototype. The data.zip file needs to be extracted first, such that the data/ directory is placed in the same directory as the other files. The prototype should be viewed in a web browser other than Firefox for now (May 2024) to use the requestVideoFrameCallback API.</p>
Global whole-rock geochemical database compilation
<p>Dataset associated with the submitted publication - Global whole-rock geochemical database compilation</p>
ScienceDex guides
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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.