Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
291
datasets available to search
ShareScore release 0.9.0
Dataset results
291 results for “chaptering”
Steelquist Dissertation - Chapter 3 Supplement
<p>Cosmogenic radionuclide data reporting, imagery/elevation data products, and Jupyter Notebooks associated with Chapter 3 of Steelquist, A.T., (2021), Evolution of Fluvial Systems on the Colorado Plateau, Dissertation, Stanford University.</p>
Steelquist Dissertation - Chapter 1 Supplement
<p>Geochronology datasets associated with Chapter 1 of Steelquist, A.T., (2021), Evolution of Fluvial Systems on the Colorado Plateau, Dissertation, Stanford University.</p>
Dataset supporting the book chapter entitled "Ratiometric Fluorescent Safranin-O staining allows the quantification of lignin contents in muro" and published in "Histochemistry of Single Molecules"
<p>This dataset aims to test the algorithms presented in the book chapter entitled</p> <p><strong>“Ratiometric Fluorescent Safranin-O staining allows the quantification of lignin contents <em>in muro</em>” </strong></p> <p>and published in “Histochemistry of Single Molecules”</p> <p><strong>Are available:</strong></p> <p>-The algorithm, provided has an ImageJ macro ("safranine_ratio_segmentation")</p> <p>- A representative image for testing (“safranine wt-60x.nd2”)</p>
Supplementary Material 2 of Chapter 5
<p>Supplementary material of chapter 5 of the doctoral thesis "Plastics as a vector of microorganisms in the aquatic environment". Taxonomic classification of all samples obtained from the sequencing of the gene region 16S rRNA.</p>
Supplementary Material 2 of Chapter 6
<p>Supplementary material 2 of chapter 6 of the doctoral thesis "Plastics as a vector of microorganisms in the aquatic environment". Taxonomic classification of all samples obtained from the sequencing of the gene region 16S rRNA.</p>
Supplementary Material 3 of Chapter 5
<p>Supplementary material 3 of chapter 5 of the doctoral thesis "Plastics as a vector of microorganisms in the aquatic environment". Taxonomic classification of all samples obtained from the sequencing of the gene region 18S rRNA.</p>
Supplementary Information: CHAPTER 2 - Unveiling genomic features linked to traits of plant-growth-promoting bacterial communities from sugarcane
<p>Appendix A. Summary of counts of subreads and circular consensus sequencing (CCS) sequences obtained for PacBio sequencing of SMRT libraries. (EMS_1.xlsx)</p> <p>Appendix B. Taxonomy assignment of MAGs at the higher taxonomic rank obtained from GTDB-tk and Kraken tools. (EMS_2.xlsx)</p> <p>Appendix C. Report of the classification workflow using GTDB-tk. (EMS_3.xlsx)</p> <p>Appendix D. Matrix of the KEGG Orthology (KOs) frequencies annotated by the EnrichM tool. (EMS_4.xlsx)</p> <p>Appendix E. Reconstruction and completeness of KEGG modules annotated by EnrichM. The asterisks (*) in the header represent additional values obtained by the script ‘classKEGGModules.pl’ (https://github.com/dgpinheiro/bioinfoutilities) to estimate PGPTs in KEGG modules. (EMS_5.xlsx)</p> <p>Appendix F. The secondary metabolite biosynthesis gene clusters (BGCs) identified with AntiSMASH. (EMS_6.xlsx)</p> <p>Appendix G. The raw count of plant growth-promoting traits (PGPTs) annotations, according to KEGG Orthology (KO) predictions for MAGs. (EMS_7.xlsx)</p> <p>Appendix H. The raw count of plant growth-promoting traits (PGPTs) that comprises the 39 classes (level 5 hierarchy) identified as enriched according to the results of Pearson's Chi-square test (qvalue ≤ 0.1). (EMS_8.xlsx)</p>
Complementary material to the study "Mapping citation patterns of book chapters in the Book Citation Index"
<p>Complementary material of a study which analyzes the BKCI according to the citation distribution of book chapters.</p>
Chapter 4- VCM Dataset
<p>Data for active projects in 2022 and 2023 was aggregated, cleaned and classified from the following sources: </p> <p><strong>Berekeley Carbon Trading Project </strong>(Barbara K. Haya, Aline Abayo, Ivy S. So., Micah Elias. (2023, December). Voluntary Registry Offsets Database v10, Berkeley Carbon Trading Project, University of California, Berkeley).</p> <ul> <li>Verra (https://verra.org/registry/overview/)</li> <li>Gold Standard (https://registry.goldstandard.org/)</li> <li>Climate Action Reserve (https://www.climateactionreserve.org/) </li> <li>American Carbon Registry (https://acrcarbon.org/acr-registry/)</li> </ul> <p><strong>CDR.FYI (https://www.cdr.fyi/)<br></strong></p> <p><strong>Puro (https://puro.earth/)</strong></p>
Appendix 5: Supplementary data for Chapter 4 in the thesis: 'Quantifying the natural resource requirements of terrestrial ecosystems for managing biodiversity alongside human development'
<p>Appendix 5: Supplementary data for Chapter 4 in the thesis: 'Quantifying the natural resource requirements of terrestrial ecosystems for managing biodiversity alongside human development' by Adam R. Mason, Department of Civil and Environmental Engineering, Imperial College London</p>
Appendix 4: Supplementary data for Chapter 3 in the thesis: 'Quantifying the natural resource requirements of terrestrial ecosystems for the management of biodiversity alongside human development'
<p>Appendix 4: Supplementary data for Chapter 3 in the thesis: 'Quantifying the natural resource requirements of terrestrial ecosystems for managing biodiversity alongside human development' by Adam R. Mason, Department of Civil and Environmental Engineering, Imperial College London</p>
Appendix 6: Supplementary data for Chapter 5 in the thesis: 'Quantifying the natural resource requirements of terrestrial ecosystems for managing biodiversity alongside human development'
<p>Appendix 6: Supplementary data for Chapter 5 in the thesis: 'Quantifying the natural resource requirements of terrestrial ecosystems for managing biodiversity alongside human development' by Adam R. Mason, Department of Civil and Environmental Engineering, Imperial College London</p>
Dataset underlying chapter 6 of dissertation F. van Oorschot
<p>This dataset is used in chapter 6 of the PhD dissertation of F. van Oorschot (May 2024). The data is used to provide an analysis of global root zone storage capacity representation with: (1) predicted using a random forest model; (2) theoretical root zone representation in HTESSEL; (3) effective root zone representation in HTESSEL.</p>
Summary for Policymakers of the Assessment Report on Biodiversity and Ecosystem Services for Africa: Chapter 5 Systematic Review Database
<p>Systematic review database: results of the classification and analysis of scientific papers and reports, published between 2005 and 2016, that deal with scenarios of biodiversity and/or ecosystem services in Africa.</p>
InCLosure Code for Enclosures of Real Functions: Supplementary Material for Chapter "Universal Intervals: Towards a Dependency-Aware Interval Algebra"
<p>InCLosure Code for Enclosures of Real Functions: Supplementary Material for Chapter "Universal Intervals: Towards a Dependency-Aware Interval Algebra", In S. Chakraverty, editor, Mathematical Methods in Interdisciplinary Sciences. John Wiley & Sons, Hoboken, New Jersey, March, 2020. ISBN: 9781119585503.</p>
Supplementary Videos Chapter 5
<p><strong>Supplementary Video 5.1</strong> | Automatic segmentation of <em>in vitro</em> uninfected MDCK cells. The segmentation was conducted using two fluorescent channels: phase contrast image of cells (in red) and nuclei fluorescence of cells (in green). The frames were taken for 23 hours. Note that at the beginning of the recording, cell density in the monolayer is low. However, as cell proliferate, they become more packed, resulting in an increase in cell density over time.</p> <p><strong>Supplementary Video 5.2 </strong>| Phase contrast images of <em>in vitro</em> uninfected MDCK cells during 23 hours.</p> <p><strong>Supplementary Video 5.3</strong> | <em>In silico</em> simulation of uninfected epithelial cells in a monolayer of low cell density.</p> <p><strong>Supplementary Video 5.4</strong> | <em>In silico</em> simulation of uninfected epithelial cells in a monolayer of high cell density.</p> <p><strong>Supplementary Video 5.5</strong> | Phase contrast image overlayed with <em>L.m.</em> fluorescence (green).</p> <p><strong>Supplementary Video 5.6</strong> | Simulation of an infected cell monolayer. Cells in blue are uninfected, whereas cells in red are infected. Note that there are some infected cells that are extruded during the simulation.</p> <p><strong>Supplementary Video 5.7</strong> | Cell areas for the simulation of an <em>in silico</em> cell monolayer during bacterial infection with <em>L.m.</em></p> <p><strong>Supplementary Video 5.8 </strong>| Monolayer shear stresses of an <em>in silico</em> cell monolayer during the mechanical competition between infected and uninfected cells.</p> <p><strong>Supplementary Video 5.9</strong> | Monolayer tensile stresses of an <em>in silico</em> cell monolayer during the mechanical competition between infected and uninfected cells.</p>
Supplementary Information - Chapter 1. Transcriptomic investigation of the molecular mechanisms underlying resistance to the neonicotinoid thiamethoxam and the pyrethroid lambda-cyhalothrin in Euschistus heros (Hemiptera: Pentatomidae)
<p><span>Laboratory-selected resistant strains of <em>Euschistus heros</em> to thiamethoxam (NEO) and lambda-cyhalothrin (PYR) were recently reported in Brazil. However, the mechanisms conferring resistance to these insecticides in <em>E. heros</em> remain unresolved. We utilized comparative transcriptome profiling and single nucleotide polymorphism (SNP) calling of susceptible and resistant strains of <em>E. heros</em> to investigate the molecular mechanism(s) underlying resistance.</span><span> </span><span>The <em>E. heros</em> transcriptome was assembled, generating 91 673 transcripts with a mean length of 720 bp and N50 of 1795 bp. Comparative gene expression analysis between the susceptible (SUS) and NEO strains identified 215 significantly differentially expressed (DE) transcripts. DE transcripts associated with the xenobiotic metabolism were all up-regulated in the NEO strain. The comparative analysis of the SUS and PYR strains identified 204 DE transcripts, including an esterase (esterase FE4), a glutathione-<em>S</em>-transferase, an ABC transporter (ABCC1) and aquaporins that were up-regulated in the PYR strain. We identified 9588 and 15 043 nonsynonymous SNPs in the PYR and NEO strains. One of the SNPs (D70N) detected in the NEO strain occurs in a subunit (α5) of the nAChRs, the target site of neonicotinoid insecticides. Nevertheless, this residue position in α5 is not conserved among insects.</span><span> </span><span>Neonicotinoid and pyrethroid resistance in laboratory-selected <em>E. heros</em> is associated with a potential metabolic resistance mechanism by the overexpression of proteins commonly involved in the three phases of xenobiotic metabolism. Together these findings provide insight into the potential basis of resistance in <em>E. heros</em> and will inform the development and implementation of resistance management strategies against this important pest.</span></p> <p><strong><span>*Published in: </span></strong><em><span>Pest Management Science</span></em><span><span> 79.12 (2023): 5349-5361</span>. <a href="https://doi.org/10.1002/ps.7745">https://doi.org/10.1002/ps.7745</a></span></p>
IPBES Transformative Change Assessment Chapter 5 - Interactive Figure 5.4
<p>To view the figure interactively, please download the html and view it locally in your browser.</p>
Voices from Cabinda: Audio files of the examples in the chapter of "Afro-Iberian Languages: Contact and Sociohistory" (LangSciPress)
<p>Audio files (and a few videos) corresponding to the examples presented throughout the chapter on Cabindan Portuguese, included in the volume <em>Afro-Iberian Languages: Contact and Sociohistory</em> (Lamberti/Agostinho, eds.; Language Science Press: https://langsci-press.org/catalog/book/392). The chapter provides a panoramic overview of the main structural features of Cabindan Portuguese, preceded by a historical section on the spread of Portuguese in this Central African region, as well as a sociolinguistic section.</p>
Chapter 4 Effects of orange peel extract on the oxidative potential and laccase gene expression in Trametes versicolor
Open the record for dataset details and reuse information.
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.