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291 results for “chaptering”
MINI-EX version 2.2 input files (MiMB, lab protocol series book chapter)
<p>Wendrich et al. (2020) Arabidopsis root scRNA-seq dataset, processed for MiMB (lab protocol series) book chapter: "MINI-EX version 2: cell-type-specific gene regulatory network inference using an integrative single-cell transcriptomics approach"</p> <p>Contains:</p> <ul> <li>Seurat object of single-cell dataset</li> <li>Extracted input files for MINI-EX</li> </ul>
Remains of the chapter-house ceiling
Remains of boards of the former chapter house ceiling. The ceiling boards are covered with template decoration with a motif of regular geometric rosettes inscribed in circles and primitive ornaments in forms similar to tracery. The paintings were created on whitewash with distemper, using black (currently greyed) paint on a red background. The decoration of the medieval chapter house also included figurative scenes and a ceiling frieze, probably in the form of a double belt of six-leaf rosettes in circles. The ceiling boards and a painted frieze under the ceiling were discovered in 1971 during maintenance works. They were found after removing rubble from spandrels. Two fragments of the frieze are preserved on the opposite walls of the room, above the vault. They are currently inaccessible to visitors. before 1477, Tyniec Museum of the Benedictine Abbey in Tyniec Inventory number: DR/3/2012 Source: Objaverse 1.0 / Sketchfab
bendy map chapter 2
map from Windows Android Nintendo Switch Xbox One PlayStation 4 IOS Linux MacOS game: Bendy and the ink mashine 2017 Source: Objaverse 1.0 / Sketchfab
DATASET. LIST OF JOURNAL ARTICLES AND BOOK CHAPTERS THAT DEALT WITH MEDIA REPRESENTATIONS OF FEMICIDE.
<p><span>The dataset contains the list of 213 </span><span>journal articles and book chapters that deal with media empirical evidence on femicide, available in <span>Scopus, Web of Science (WoS), and EBSCOhost.</span> The dataset includes three sheets in one file, the first contains a list of the 213 documents available in the three databases including their bibliographic information, general description, and keywords describing the main results. The second sheet contains the codes for variables, and the third sheet contains the list of a subgroup of articles available in <span>Scopus and Web of Science (WoS)</span>. </span></p>
IPBES Invasive Alien Species Assessment: Chapter 1. Figures, tables and captions
<p>Figures, tables and captions from Chapter 1: Introducing biological invasions and the IPBES thematic assessment of invasive alien species and their control. In: Thematic Assessment Report on Invasive Alien Species and their Control of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services.</p>
IPBES Invasive Alien Species Assessment: Chapter 2. Figures, tables, captions and data management reports
<p>This folder contains the figures and tables included in Chapter 2 of the IPBES Invasive Alien Species and their Control Assessment Report. Each figure is provided in pdf and svg format. In addition, the R scripts and the data sets required to generate the figures are provided as well.</p><p>The figures and tables showing information about alien species numbers or distributions are all based on two data sets, which are stored on Zenodo folders. One data set contains the records of alien species per region worldwide (https://doi.org/10.5281/zenodo.7554428) and the workflow including R scripts have been published (https://doi.org/10.3897/neobiota.59.53578). This data set is called the 'chapter database'. Version 2.4.1 of this data set was used to extract the numbers shown in figures and tables of this chapter. The second data set (https://doi.org/10.5281/zenodo.6458083) contains coordinates of alien species occurrences worldwide and the workflow including R scripts have also been published elsewhere (https://doi.org/10.3897/neobiota.74.81082). Version 1.0.1 of this data set was used here.</p><p>The folder also contains the data management reports for the generation of the chapter database and figures.</p>
Data and codes for "Chapter 2: Particle-laden gravity currents: the lock-release slumping regime at the laboratory scale"
<div> <div> <h1>PALAGRAM Monograph</h1> </div> <p>This repository contains the data used in the book chapter:</p> <blockquote> <p>Gadal, C., Schneider, J., Bonamy, C., Chauchat, J., Dossmann, Y., Kiesgen de Richter, S., Mercier, M.J., Naaim-Bouvet, F., Rastello, M. and Lacaze, L. (2025). <strong>Particle-laden Gravity Currents: The Lock-release Slumping Regime at the Laboratory Scale.</strong> In Particulate Gravity Currents. <a href="https://doi.org/10.1002/9781394216727.ch2">10.1002/9781394216727.ch2</a></p> </blockquote> <div> <h2>Repository organization</h2> </div> <div> <pre><code> palagram_monograph │ └───data: data are stored here │ └───input_data: input data as sent by everyone │ └─── ... : NETCDF files │ └───output_data: processed data output by analysis.py (also contains input_data) │ └─── ... : NETCDF files └───analysis: └───analysis.py: analysis code, that reads input_data and writes output_data └───paper: contains source files for article │ └───figures: contains source figures │ └─── ... : PDF files │ └─── figure_scripts: contains figure scripts that reads data in data/output_data and writes figures in paper/figures │ └─── *.py : python scripts for figures │ └─── ... : various files (.tex, .bib, ...) │ └─── main.pdf : article preprint </code></pre> <div> </div> </div> <div> <h2>Data organization</h2> </div> <p>The CSV file <code>dataset_summary.csv</code> offers a summary of all runs and corresponding experimental parameters, allowing for easier access to the data.</p> <p>The folder <code>data/output_data</code> contains 287 netcdf4 files corresponding to each experimental run used in the paper. For each run, the structure of the NetCDF file is the following:</p> <ul> <li> <p>attributes:</p> <ul> <li>particle_type: particle type used (silica sand, glass beads, etc..)</li> <li>label: filename</li> <li>lab: lab where this run has been performed</li> <li>run_oldID: Old filename, corresponding to the experimental notebook</li> <li>author: author(s) that acquired this run</li> <li>setup: setup used to acquire the data. See article.</li> <li>dataset: Dataset classification of this run, See paper.</li> </ul> </li> <li> <p>dimensions(sizes): time(n)</p> </li> <li> <p>variables(dimensions):</p> <ul> <li>At(): Atwood number</li> <li>Fr(): Froude number (adi. initial current velocity)</li> <li>H0(): initial heavy fluid height inside the lock</li> <li>H_a(): ambient fluid height outside the lock</li> <li>L0(): streamwise lock length</li> <li>L_1(): streamwise tank length after the lock</li> <li>Re(): Reynolds number</li> <li>S(): Settling number</li> <li>St(): Stokes number</li> <li>T_a(): ambient temperature</li> <li>T_f(): heavy fluid temperature inside the lock</li> <li>W0(): crossstream lock width</li> <li>a(): lock aspect ratio</li> <li>alpha(): bottom slope</li> <li>d(): particle diameter</li> <li>gprime(): specific gravity</li> <li>lamb(): adi. attenuation parameter</li> <li>nu_a(): ambient viscosity</li> <li>nu_f(): heavy fluid lock viscosity</li> <li>phi(): initial particle volume fraction inside the lock</li> <li>rho_a(): ambient fluid density</li> <li>rho_c(): heavy fluid mix density inside the lock</li> <li>rho_f():</li> <li>rho_p(): particle density</li> <li>t('time',): time vector</li> <li>t0(): characteristic timescale, t0 = L0/u0</li> <li>u0(): characteristic velocity scale, u0 = sqrt(gprime*H0)</li> <li>vs(): particle Stokes velocity</li> <li>x_front('time',): front position vector</li> </ul> </li> </ul> <p>Variables can sometimes possess the following attributes:</p> <ul> <li>unit: corresponding unit</li> <li>std: error(s) on the given quantity, calculated by error propagation from measurement uncertainties using the <code>uncertainties</code> module (<a href="https://pythonhosted.org/uncertainties/" rel="nofollow">https://pythonhosted.org/uncertainties/</a>) in Python.</li> <li>comments: comments on the given quantity (definition, formulas, etc ..)</li> </ul> <div> <h2>Related works</h2> </div> <ul> <li> <p>Gadal, C., Schneider, J., Bonamy, C., Chauchat, J., Dossmann, Y., Kiesgen de Richter, S., Mercier, M.J., Naaim-Bouvet, F., Rastello, M. and Lacaze, L. (2025). Particle-laden Gravity Currents: The Lock-release Slumping Regime at the Laboratory Scale. In Particulate Gravity Currents. <a href="https://doi.org/10.1002/9781394216727.ch2">10.1002/9781394216727.ch2</a></p> </li> <li>Gadal, C., Mercier, M. J., Rastello, M., & Lacaze, L. (2023). Slumping regime in lock-release turbidity currents. <em>Journal of Fluid Mechanics</em>, 974, A4. <a href="https://doi.org/10.1017/jfm.2023.762" rel="nofollow">doi:10.1017/jfm.2023.762</a></li> <li> <p>Gadal, C., Mercier, M., Rastello, M., & Lacaze, L. (2023). Data used in 'Slumping regime in lock-release turbidity currents' [Data set]. In Journal of Fluid Mechanics (Vol. 974, p. A4). <em>Zenodo</em>. <a href="https://doi.org/10.5281/zenodo.10058946" rel="nofollow">https://doi.org/10.5281/zenodo.10058946</a></p> </li> <li> <p>Schneider, J., Dossmann, Y., Farges, O. et al. Investigation of particle laden gravity currents using the light attenuation technique. <em>Exp Fluids</em>, 64, 23 (2023). <a href="https://doi.org/10.1007/s00348-022-03562-y" rel="nofollow">doi:10.1007/s00348-022-03562-y</a></p> </li> <li> <p>Chauchat, J., Cheng, Z., Nagel, T., Bonamy, C., and Hsu, T.-J. (2017) SedFoam-2.0: a 3-D two-phase flow numerical model for sediment transport, <em>Geosci. Model Dev.</em>, 10, 4367-4392, <a href="https://doi.org/10.5194/gmd-10-4367-2017" rel="nofollow">doi:10.5194/gmd-10-4367-2017</a> and <a href="https://github.com/sedfoam/sedfoam">github</a></p> </li> </ul> </div>
Appendices to Tel Kabri Excavations Zooarchaeology Chapter
<p>Appendices to Tel Kabri Excavations, 2013-2019, Zooarchaeology Chapter. </p> <p>Includes: NISP table with source articles </p> <p>Master List of Loci used </p> <p>Measurement Tables </p> <p>Raw Database for 2017-2019 excavations</p>
Figures 2 and 3 in HighRes for Springer book chapter "Online Infrastructures For Open Educational Resources"
<p>Figure 2 and Figure 3 in high resolution for the book chapter:</p> <p>Marín, V. I., & Villar-Onrubia, D. (in press, 2022). Online Infrastructures For Open Educational Resources. In I. Jung & O. Zawacki-Richter (Eds.), <em>Handbook of Open, Distance and Digital Education</em> (Global Perspectives and Internationalization). Springer. <a href="https://doi.org/10.1007/978-981-19-0351-9_18-1">https://doi.org/10.1007/978-981-19-0351-9_18-1</a></p> <p>----</p> <p>Details for the figures:</p> <p>Fig. 2 Examples of national and regional digital infrastructures in Europe. (Note: The original figure of the Europe map was created by Commons user Alexrk2, CC BY-SA 3.0, shared via Wikimedia Commons)</p> <p>Figure 3. Examples of national and regional digital infrastructures in South America. (Note: The original figure of the South America map was created by TUBS, CC BY-SA 3.0, shared via Wikimedia Commons)</p>
Chapter 13 - Images in high resolution
<p>Chapter 13 - Images in high resolution</p>
Schematic and adapted figures from IPBES Sustainable Use of Wild Species Assessment - Chapter 3. Status of and trends in the use of wild species and its implications for wild species, the environment and people
<p>Schematic and adapted figures from Chapter 3 of the thematic assessment of the sustainable use of wild species of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services.</p>
Schematic and adapted figures from IPBES Sustainable Use of Wild Species Assessment - Chapter 6. Policy options for governing sustainable use of wild species
<p>Schematic and adapted figures from Chapter 6 of the thematic assessment of the sustainable use of wild species of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services.</p>
Schematic and adapted figures from IPBES Sustainable Use of Wild Species Assessment - Chapter 5. Future scenarios of sustainable use of wild species
<p>Schematic and adapted figures from Chapter 5 of the thematic assessment of the sustainable use of wild species of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services.</p>
Schematic and adapted figures from IPBES Sustainable Use of Wild Species Assessment - Chapter 2. Conceptualizing the sustainable use of wild species
<p>Schematic and adapted figures from Chapter 2 of the thematic assessment of the sustainable use of wild species of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services.</p>
Script files for the chapter: "Spring-mass crystals and mode confinement"
<p>Data and simulations files for the chapter "Spring-mass crystals and mode confinement" of the thesis "Optimizing hybrid optomechanical crystals and thermo-optomechanical effects"</p>
Supplementary Figures Chapter 5 - Peat capping: Natural capping of wet landfills by peat formation
<p>Supplementary Figures to Chapter 5 "Peat capping: Natural capping of wet landfills by peat formation" of PhD thesis from Ciska Overbeek, "Peat formation on a former landfill - Production and decomposition of aquatic pioneer vegetation". </p> <p>Published by Harpenslager et al in 2018 in Ecological Engineering 114: 146-153. <a href="https://doi.org/10.1016/j.ecoleng.2017.04.040">https://doi.org/10.1016/j.ecoleng.2017.04.040</a>. </p>
Online Resources Chapter 3 - Decomposition of standing litter biomass in newly constructed wetlands associated with direct effects of sediment and water characteristics and the composition and activity of the decomposer community using Phragmites australis as a single standard substrate
<p>Online Resources to Chapter 3 "Decomposition of standing litter biomass in newly constructed wetlands associated with direct effects of sediment and water characteristics and the composition and activity of the decomposer community using Phragmites australis as a single standard substrate" of PhD thesis from Ciska Overbeek, "Peat formation on a former landfill - Production and decomposition of aquatic pioneer vegetation". </p> <p>Published by Overbeek et al in 2019 in Wetlands 39(1): 113-125. https://doi.org/10.1007/s13157-018-1081-y. </p>
Supplementary Material Chapter 4 - Decomposition of aquatic pioneer vegetation in newly constructed wetlands
<p>Supplementary Material to Chapter 4 "Decomposition of aquatic pioneer vegetation in newly constructed wetlands" of PhD thesis from Ciska Overbeek, "Peat formation on a former landfill - Production and decomposition of aquatic pioneer vegetation". </p> <p>Published by Overbeek et al in 2018 in Ecological Engineering 114: 154-161. https://doi.org/10.1016/j.ecoleng.2017.06.046. </p>
Fig. 22.3 in Chapter 22: Rodents from the Chinese Neogene: Biogeographic Relationships with Europe and North America
Fig. 22.3. Biogeographic relationships of major groups of Neogene rodents found in China.
Fig. 23.5 in Chapter 23: Tedford's Gerbils from Afghanistan
Fig. 23.5. Tooth terminology used in the text. A, Cross section of right upper incisor of AMNH
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.