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7,370 results for “supplement”
Supplemental package for a study of Product Operations (Product Ops)
<p>This package includes data from a grey literature study on Product Operations (Product Ops), featuring URLs to publications analysed in the study. Sources include blogs, whitepapers, and other materials where industry stakeholders share insights and experiences with Product Ops.</p>
Supplemental_Data_S1 for "Kmer Manifold Approximation and Projection for visualizing DNA sequences"
<p>This dataset includes the results generated by KMAP software applied to the htselexdata dataset. Each folder within the dataset contains outputs from multiple dimensionality reduction techniques, including KMAP, UMAP, t-SNE, and MDS. Additionally, motifs and logos have been derived using both KMAP and MEME methods. This data provides insights into motif patterns and structures, which can be beneficial for further bioinformatics and computational biology analyses.</p>
Data supplement for "Localized states in coupled Cahn-Hilliard equations"
<p>Data set and plotting codes for all figures of "Localized states in coupled Cahn-Hilliard equations". Additionally, it includes Matlab codes for numerical path continuation and python codes for time simulation which can be used to reproduce the data.</p> <p>For more information, please see the included README.md</p>
Artifacts supplementing the EuroUSEC '22 paper "Assessing Real-World Applicability of Redesigned Developer Documentation for Certificate Validation Errors"
<p>This upload supplements the conference EuroUSEC 2022 submission by providing the full questionnaire, anonymized dataset and all performed analyses presented in the paper specified below.</p> <ul> <li>Title: <strong>Assessing Real-World Applicability of Redesigned Developer Documentation for Certificate Validation Errors</strong></li> <li>Authors: Martin Ukrop, Michaela Balážová, Pavol Žáčik, Eric Vincent Valčík, Vashek Matyas</li> <li>Paper details: https://crocs.fi.muni.cz/public/papers/eurousec2022</li> <li>Paper abstract: <em>We face certificate validation errors commonly, yet the related tools and documentation had been shown to have very poor usability. Previous research suggests that just improving the error messages and corresponding documentation can have significantly positive effects. Our work aims at increasing the usability of certificate validation by 1) redesigning the API error messages and the corresponding documentation, and 2) validating the real-world applicability of the redesign by investigating the opinions of 180 IT professionals. We focus on the perceived obstacles, desired ideal form and overall satisfaction. The redesigned documentation exhibits a reliable significant decrease in perceived incompleteness, with a small amount of perceived bloat and tangle. The redesigned documentation, now published on a dedicated website, is preferred by 89% of our study participants.</em></li> </ul> <p>The artifacts accompanying this paper contain three major parts:</p> <ul> <li>The questionnaire used in the main study (described in Sections 3.1 and 3.2 of the paper and mostly present in Appendices A and B of the paper).</li> <li>The anonymized dataset (multiple formats) of all valid questionnaire answers and qualitative coding performed. Analyses of this dataset are the core of the paper and are present in subsection 3.4 and all parts of Sections 4 and 5.</li> <li>The set of analyses files (IBM SPSS scripts and outputs) producing all statistical results presented in the paper are included.</li> </ul> <p>More details about the artifacts can be found in the README file in the artifacts archive.</p>
Data supplement for "Global agricultural trade and land system sustainability: implications for ecosystem carbon storage, biodiversity and human nutrition"
<p>This data supplements the publication "Global agricultural trade and land system sustainability: implications for ecosystem carbon storage, biodiversity and human nutrition" by Thomas Kastner, Abhishek Chaudhary, Simone Gingrich, Alexandra Marques, U. Martin Persson, Giorgio Bidoglio, Gaëtane Le Provost, Florian Schwarzmüller, available here:</p> <p><a href="https://doi.org/10.1016/j.oneear.2021.09.006">https://doi.org/10.1016/j.oneear.2021.09.006</a></p> <p>For details, please refer to that publication.</p>
Tracing and visualisation of contributing water sources in a model of flood inundation: video supplement
<p>These are video supplement files to Wilson & Coulthard (2021), produced using version 1.8f-WS of CAESAR-Lisflood software, <a href="https://doi.org/10.5281/zenodo.5541122">available on Zenodo here</a>. For a full description of the methodology and case studies, please refer to the paper which is available here: <a href="https://doi.org/10.5194/gmd-2021-340">https://doi.org/10.5194/gmd-2021-340</a>.</p> <p>Video animations (no audio) for the following case studies are included:</p> <p>1. <strong>Carlisle, United Kingdom</strong> (carlisleanimation-sourcetracing.avi and carlisleanimation-depthonly.avi):</p> <ul> <li>Simulation of the January 2005 flood event at the confluence of the Rivers Caldew, Petteril and Eden, using a 5 m grid.</li> <li>Both water source tracing and depth only versions are provided.</li> <li>In the water tracing version, blue colours represent flows from the River Eden, reds are from the River Petteril and greens are from the River Caldew; darker shades represent deeper water. Available on YouTube here: <a href="https://youtu.be/xOtOi06cXvA">https://youtu.be/xOtOi06cXvA</a></li> <li>In the depth only version, darker shades of blue represent deeper water, with no information about the water source in a grid cell. Available on YouTube here: <a href="https://youtu.be/aFz-sPRGHVE">https://youtu.be/aFz-sPRGHVE</a></li> </ul> <p>2. <strong>Avon-Heathcote estuary in Christchurch, New Zealand</strong> (avonheathcoteanimation.avi):</p> <ul> <li>Simulation for July 2017, which included a high flow event on 22 July, using a model grid of 10 m.</li> <li>Blue colours represent flows from tide, reds are from the River Avon and greens are from the Heathcote River; darker shades represent deeper water.</li> <li>Available on YouTube here: <a href="https://youtu.be/Fczr5tczzXU">https://youtu.be/Fczr5tczzXU</a></li> </ul> <p>3. <strong>Amazon </strong>(amazonanimation.avi):</p> <ul> <li>Simulation at the confluence of the Solimões (mainstem Amazon) and Purus rivers in the central Amazon, Brazil, for the period of 1 October 2013 through December 2014, using a ~270 m model grid.</li> <li>Red colours are from the Solimões, green colours are from the Purus; darker shades represent deeper water.</li> <li>Available on YouTube here: <a href="https://youtu.be/PknAL_8fd1I">https://youtu.be/PknAL_8fd1I</a></li> </ul> <p>4. <strong>Planar slope</strong> (planaranimation.avi):</p> <ul> <li>A simple test case consisting of a 2000 x 1000 m planar slope (0.001 m/m), with walls added at 250 m intervals across the slope, each of which has several gaps through which water can flow. Model grid was 5 m.</li> <li>Eight water sources were traced in total, with three visualised in the animation: red = source 2, green = source 4, blue = source 6. Depths are shown in the middle plot.</li> <li>Available on YouTube here: <a href="https://youtu.be/DTw8ysJtx8o">https://youtu.be/DTw8ysJtx8o</a></li> </ul> <p>Please feel free to use these animations, under the terms of the CC-BY-4.0 license. Please provide a link back to this site and a citation to Wilson & Coulthard (2021).</p> <p>Reference:</p> <p>Wilson, M. D. and Coulthard, T. J.: Tracing and visualisation of contributing water sources in the LISFLOOD-FP model of flood inundation, Geosci. Model Dev. Discuss. [preprint], <a href="https://doi.org/10.5194/gmd-2021-340">https://doi.org/10.5194/gmd-2021-340</a>, in review, 2021</p>
Supplemental data from: Nature or nurture: A genetic basis for the behavioral selection of depth in siscowet and lean lake charr (Salvelinus namaycush) ecomorphs
<p>These files contain the raw depth and temperature sensor data from siscowet and lean lake charr (<em>Salvelinus namaycush</em>) ecomorphs tagged with pop-up satellite archival tags (PSATs). These fish were produced from wild gametes taken from Lake Superior and reared in a common garden study for nine years and then tagged with PSATs and released in southern Lake Superior. The dataset is supplemental to:</p> <p>Goetz, F., Sitar, S., Seider, M., and Jasonowicz, A. 2022. Nature or nurture: A genetic basis for the behavioral selection of depth in siscowet and lean lake charr (<em>Salvelinus namaycush</em>) ecomorphs. Canadian Journal of Fisheries and Aquatic Sciences. (in press).</p> <p><strong>Data description for metadata.csv:</strong></p> <p>This file contains the metadata associated with each tag deployment. This includes biological data as well as key mission paramters.</p> <table> <thead> <tr> <td>Column</td> <td>Type</td> <td>Description</td> </tr> </thead> <tbody> <tr> <td>mission_id</td> <td>integer</td> <td>mission identifier</td> </tr> <tr> <td>tag_sn</td> <td>integer</td> <td>tag serial number</td> </tr> <tr> <td>ecotype</td> <td>string</td> <td>lake trout ecotype</td> </tr> <tr> <td>release_date</td> <td>string</td> <td>date of tag release</td> </tr> <tr> <td>length_mm</td> <td>float</td> <td>total length in mm</td> </tr> <tr> <td>weight_g</td> <td>float</td> <td>weight in g</td> </tr> <tr> <td>lipid</td> <td>float</td> <td>lipid level meadured by Distell fatmeter set in research mode</td> </tr> <tr> <td>release_site</td> <td>string</td> <td>release site (deep or shallow site)</td> </tr> <tr> <td>sampling_rate</td> <td>string</td> <td>sampling interval of tag (format=HH:MM:SS)</td> </tr> <tr> <td>mission_end_utc</td> <td>datetime</td> <td>programmed tag pop off date and time in UTC time (format=YYYY-MM-DD HH:MM:SS)</td> </tr> <tr> <td>notes</td> <td>string</td> <td>notes and comments</td> </tr> </tbody> </table> <p> </p> <p><strong>Data description for the raw sensor data files:</strong></p> <p>The raw sensor data is found in the files that are prefixed with "raw-sensor-data". The data for each tag is in contained in a seperate file and the files are named as follows "raw-sensor-data-{<em><strong>mission_identifier</strong></em>}-{<em><strong>tag_serial_number</strong></em>}.csv".</p> <table> <thead> <tr> <td>Column</td> <td>Type</td> <td>Description</td> </tr> </thead> <tbody> <tr> <td>mission_id</td> <td>integer</td> <td>mission identifier</td> </tr> <tr> <td>tag_sn</td> <td>integer</td> <td>tag serial number</td> </tr> <tr> <td>timestamp_utc</td> <td>datetime</td> <td>timestamp of sensor reading (format=YYYY-MM-DD HH:MM:SS)</td> </tr> <tr> <td>depth_m</td> <td>string</td> <td>depth in meters</td> </tr> <tr> <td>temperature_c</td> <td>string</td> <td>temperature in degrees celcius</td> </tr> </tbody> </table>
Dataset supplementing the journal article describing the pyfastspm Python package
<p>This dataset represents a fast scanning tunneling microscopy image sequence, acquired with the FAST SPM module, showing a reduced Fe3O4(001) surface observed at 657 K during oxygen exposure. This is used as example dataset in the journal article describing the pyfastspm Python package (SoftwareX 21 (2023) 101269, Figure 3 and 4, Supporting Information).</p>
Hoofprints in the Sand Supplement S3: ADI Datasheet
<p>Datasheet: Provenience, dating, measurements (mm), astragalar index values, and catalogue numbers for the sheep astragali used in the ADI analyses (.csv file)</p>
M. Kelly PhD thesis; Chapter 4 - Supplemental Table S1
<p>Supplemental Table for my PhD thesis (Chapter 4). Supplemental Table S1 contains all data relevant to the predator choice tests.</p>
Land Cover Fraction Mapping with FORCE - Supplemental Data
<p> </p> <p>This upload contains data required to replicate a <a href="https://github.com/franzschug/force/blob/develop/docs/source/howto/lcf.rst">tutorial </a>that applies regression-based unmixing of spectral-temporal metrics for sub-pixel land cover mapping with synthetically created training data. The tutorial uses the <a href="https://github.com/davidfrantz/force">Framework for Operational Radiometric Correction for Environmental monitoring</a>.</p> <p>This dataset contains intermediate and final results of the workflow described in that tutorial as well as auxiliary data such as parameter files.</p> <p>Please refer to the above mentioned tutorial for more information.</p> <p> </p>
Datasets and supplemental information accompanying scANANSE
<p>This repository contains supplementary files from the paper: "<strong>scANANSE: gene regulatory network and motif analysis of single-cell clusters"</strong> as well as several accompanying datasets.</p> <p>The supplementary files: </p> <p>- Install_Rstudio.pdf</p> <p>- AnanseScanpy_equivalent.pdf</p> <p>The pre-processed Seurat object and the two pre-processed Scanpy objects can be used to run the scANANSE pipeline with:</p> <p>- preprocessed_PBMC.Rds</p> <p>- rna_PBMC.h5ad</p> <p>- atac_PBMC.h5ad</p> <p>Additional raw data, used to construct the pre-processed objects, supplemented from: </p> <p>https://cf.10xgenomics.com/samples/cell-arc/1.0.0/pbmc_granulocyte_sorted_10k/pbmc_granulocyte_sorted_10k_filtered_feature_bc_matrix.h5, https://cf.10xgenomics.com/samples/cell-arc/1.0.0/pbmc_granulocyte_sorted_10k/pbmc_granulocyte_sorted_10k_atac_fragments.tsv.gz, https://cf.10xgenomics.com/samples/cell-arc/1.0.0/pbmc_granulocyte_sorted_10k/pbmc_granulocyte_sorted_10k_atac_fragments.tsv.gz.tbi,<br> https://atlas.fredhutch.org/data/nygc/multimodal/pbmc_multimodal.h5seura</p>
Supplemental Data Sets for "Buried Ice Deposits in Lunar Polar Cold Traps were Disrupted by Ballistic Sedimentation"
<p>Supporting Data Sets for manuscript "Buried Ice Deposits in Lunar Polar Cold Traps were Disrupted by Ballistic Sedimentation". Contains Data Sets S1-S7 as described in the manuscript and Supplementary information S1 (see <a href="https://doi.org/10.1029/2022JE007567">https://doi.org/10.1029/2022JE007567</a>).</p>
Supplemental data for "Computational screening of chemically active metal center in coordinated dipyridyl tetrazine network"
<p>Atomic coordinates of structures used in N. Ud Din, D. Le, T. S. Rahman "Computational screening of chemically active metal center in coordinated dipyridyl tetrazine network", J. Phys.: Condens. Matter .(2023). DOI: 10.1088/1361-648X/acb8f3</p>
Datasets supplementing journal article "Probing dynamic covalent chemistry in a 2D boroxine framework by in-situ near-ambient pressure X-ray photoelectron spectroscopy" in Nanoscale 2022
<p>Datasets supporting the Nanoscale journal article "Probing dynamic covalent chemistry in a 2D boroxine framework by in-situ near-ambient pressure X-ray photoelectron spectroscopy".</p> <p>NAP-XPS.zip: Near-ambient pressure X-ray photoelectron spectroscopy, Figures 2, 3. (NEP 101007417)</p> <p>STM.zip: Scanning tunneling microscopy, Figure 5a, inset. (NEP 101007417)</p> <p>TPD.zip: Temperature programmed desorption, Figure 1a.</p> <p>UHV-XPS.zip: X-ray photoelectron spectroscopy, Figure 1b,c.</p> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101007417, having benefited from the access provided by by ALBA in Barcelona (Spain) and CNR-IOM in Trieste (Italy) within the framework of the NFFA-Europe Pilot Transnational Access Activity, proposal ID075.</p>
Supplemental data for: Increased mutation and gene conversion within human segmental duplications
<p>Data used for figure generation and analysis in: <strong>Increased mutation and gene conversion within human segmental duplications</strong></p> <ol> <li>new-assemblies.zip contains all the new assemblies added in this work beyond the HPRC assemblies (Clint PTR, CHM1, HG00514, NA12878, HG03125). All other assemblies used in this analysis are available through the HPRC: <a href="https://github.com/human-pangenomics/HPP_Year1_Assemblies/blob/main/assembly_index/Year1_assemblies_v2_genbank.index">assembly_index/Year1_assemblies_v2_genbank.index</a>.</li> <li>all-sample.vcf is a vcf file with all the variant calls used in this analysis. </li> <li>alignments.zip contains all the syntenic alignments used for analysis. </li> <li>data.zip contains annotation data and other information used in analysis and figure making. </li> <li>Online tables 1-4 (Online-tables.xlsx)</li> </ol> <p>Code used in figure making and analysis is on <a href="https://github.com/mrvollger/sd-divergence-and-igc-figures">GitHub</a>.</p> <p>Snakemake pipelines used in the analysis are also on GitHub:</p> <ul> <li>Assembly alignment and IGC calling: https://github.com/mrvollger/asm-to-reference-alignment</li> <li>Variant calling from assembly alignments: https://github.com/mrvollger/sd-divergence</li> <li>Analysis of the triplet content of SNVs: https://github.com/mrvollger/mutyper_workflow</li> </ul>
Electronic Supplement / Data Archive for "Global Variations in the Time Delays Between Polar Ionospheric Heating and the Neutral Density Response"
<p>These files provide supplemental data to accompany the paper "Global Variations in the Time Delays Between Polar Ionospheric Heating and the Neutral Density Response" submitted to AGU journal <em>Space Weather</em>, with manuscript number 2022SW003410. Details are provided in the file <strong>ReadMe_DataArchive.pdf</strong>.<br> </p>
Creating Safe Environments: Optimal Acoustic Alarming of Laypeople in Fire Prevention - Online Supplement
<p>This online supplement contains datasets (raw data) and study material collected in an experimental study by the University of Münster, Germany. The study is part of a larger research project (<a href="https://www.brawa.ovgu.de/en/">https://www.brawa.ovgu.de/en/</a>) and examined the perception of acoustic fire alarm signals.</p> <p>Hazards like fires occur regularly and can cost people’s lives. Optimal auditory alarm signals enable laypeople to recognize dangers and to protect themselves. Existing fire alarm sound research focuses on alarm sounds and voice alerts presented singularly. We explored a combination of both and aimed to identify alarm signals that work optimally in everyday life. Thus, we conducted two online experiments: In Study 1 (<em>N</em> = 379), we tested eight alarm sounds regarding their typicality, their familiarity, their arousal, their valence, and their dominance. Siren-like alarm sounds were most effective. In Study 2 (<em>N</em> = 206), we combined the four most effective alarm sounds with a voice alert. The voice alert reinforced ambiguity reduction, action motivation, and action intention. Hence, we suggest using alarm sounds with siren-like patterns. They should be combined with a voice alert to foster a quick and specific (target task-oriented) reaction.</p> <p>The ethics committee of the University of Münster approved the studies (ID 2021-57-MT), and we preregistered both studies with AsPredicted.org under numbers #77031 and #81137 (see <a href="https://aspredicted.org/vx2rr.pdf">https://aspredicted.org/vx2rr.pdf</a> and <a href="https://aspredicted.org/mt9g3.pdf">https://aspredicted.org/mt9g3.pdf</a>). The studies were supported by the German Federal Ministry of Education and Research (grant numbers 13N15416 and 13N15419).</p> <p><strong>This online supplement includes: </strong></p> <ul> <li>Two codebooks describing all instructions and items in Study 1 and in Study 2</li> <li>Raw data (anonymized) and analysis scripts (Note: The raw data contains only the information of persons who were included in the analysis and who gave their informed consent. Some demographic information was deleted to ensure anonymity.)</li> <li>Study material: <ul> <li>Alarm signal example</li> <li>Hearing test implemented in both studies</li> </ul> </li> </ul>
Dataset (81 forest parcels) supplementing the publication "Owner attitudes and landscape parameters drive stand structure and valuable habitats in small-scale private forests of Lower Saxony (Germany)"
<p>The dataset about 81 small-scale private forest parcels contains the answer variables and predictors used in the publication "Owner attitudes and landscape parameters drive stand structure and valuable habitats in small-scale private forests of Lower Saxony (Germany)".</p>
Supplemental tables for a study of the seasonal Impacts of the Physical Environment on Biogeochemical Cycles in Arctic Lakes of the Mackenzie River Delta
<p>submitted abstract</p> <p>We conducted two- and six-year-long deployments of continuous water samplers (OsmoSamplers) and sensors (Temperature, pressure, light level, dissolved oxygen (DO) and conductivity) in nine lakes within the mid- to outer-delta region of the Mackenzie River and documented biogeochemical fluctuations (Mn, Fe, sulfate, and DO), defined physical processes that that drive such fluctuations, and constrained the impact of lake solutes on annual riverine fluxes. Five lakes were in the mid-delta region near Inuvik, NT, two lakes were in the outer delta, and two lakes were on the Arctic coastal plain and were not impacted by the Mackenzie River. In general, temperature minima occurred in September/October, indicative of ice formation, and distinct hydrostatic pressure (water level) anomalies occurred in May/June associated with ice breakup, lasting for days to months and impacting lake levels up to 4.2 m higher than “normal”. Such anomalies coincide with a dramatic change in solute concentrations. Systematic changes in solute concentrations indicate redox-driven biogeochemical reactions, salt exclusion during ice formation, and continuous to sporadic exchange of river water. Redox reactions were regulated by DO inputs stemming from atmospheric, photosynthetic, and riverine sources. During ice-covered periods dissolved sulfate may be conservative but was generally removed. Manganese and iron concentrations showed phases of production and removal during ice-covered periods, but both were produced overall. Calculated solute fluxes from lake waters alone to the Arctic Ocean may only impact yearly riverine fluxes for solutes that exceed ten times the river concentration prior to ice breakup (e.g., Mn and Fe).</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.