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7,370 results for “supplementation”
Sensitivity of deep ocean biases to horizontal resolution in prototype CMIP6 simulations: video supplements
<p>These are video supplements cited in the manuscript "Sensitivity of deep ocean biases to horizontal resolution in prototype CMIP6 simulations" that has been submitted to Geoscientific Model Development (GMD; MS No.: gmd-2018-192).</p> <p>The animations (with a 10yr running window) show the development of temperature biases in the deep ocean over a period of 100 years in two pre-industrial configurations with the AWI Climate Model: AWI-CM-LR and AWI-CM-HR. Meridional biases along the 30.5°W transect through the Atlantic Ocean (S3 and S4; animated version of Fig.8 for LR and HR) and maps of along-isopycnal biases (sigma_1=31.8) are shown (S1 and S2). Time axes have been added compared to version 1.</p>
Online Supplemental Tables - An atlas of genome-wide gene expression and metabolite associations and possible mediation effects towards body mass index
<p>Summary statistics of metabolite-gene expression associations and mediation analyses of effects on body mass index.</p> <p>The corresponding publication is currently under revision.</p> <ul> <li><strong>Online Supplemental Table 1</strong>: Gene expression-metabolite association summary statistics from 97 metabolites and metabolite ratios and up to 15175 genes calculated seperately in the LIFE-Adult, LIFE-Heart, LIFE-AMI and the Sorb studies. Associations were adjusted for six covariates.</li> <li><strong>Online Supplemental Table 2</strong>: Random-effects meta-analyzed gene expression-metabolite association summary statistics. P-Values were adjusted for multiple testing using a hierarchical adjustment procedure both on local (within phenotypes) and on global (across phenotypes) level.</li> <li><strong>Online Supplemental Table 3</strong>: Single-study association results needed for checking mediation analysis assumptions and for calculating mediation statistics. Only gene expression probe-metabolite pairs that associated significantly at hierarchical FDR=5% in the gene-expression-metabolite association meta-analysis qualified for these associations.The following Associations were tested: gene expression probes ~ metabolites, log-BMI ~ metabolites log-BMI ~ gene expression, log-BMI ~ gene expression + metabolite. Associations were adjusted for six covariates. P-values</li> <li><strong>Online Supplemental Table 4</strong>: Meta-analyzed association results needed for checking mediation analysis assumptions and for calculation mediation statistics.</li> <li><strong>Online Supplemental Table 5: </strong>Mediation analysis summary statistics. Mediations of gene expression effects (exposure) via metabolite effects (mediatior) and of metabolite effects (exposure) via gene expression effects (mediator) on body mass index (outcome) were tested.</li> </ul> <p> </p>
Supplemental Data and Code for "An exact version of Life Table Response Experiment analysis, and the R package exactLTRE"
<p>This dataset enables the user to repeat the analyses presented in the manuscript "An exact version of Life Table Response Experiment analysis, and the R package exactLTRE." It is comprised of two compressed archives: one which contains code, and one which contains data.</p>
Identifying mountain permafrost degradation by repeating historical ERT-measurements - supplement
<p>Ongoing global warming affects the degradation of mountainous permafrost. Permafrost thawing impacts landform evolution, reduces fresh water resources, enhances the potential of natural hazards, and thus has significant socio-economic impact. Electrical resistivity tomography (ERT) has been widely used to map the ice-containing permafrost by its resistivity contrast compared to the surrounding non-frozen medium. We analyse the temporal changes in the resistivity distribution by comparing historical with recently measured ERT profiles. Three periglacial landforms (two rock glaciers and one talus slope) are surveyed in the Swiss and Austrian Alps by repeating historical field campaigns after periods of 10, 12, and 16 years, respectively. The resistivity values have been significantly reduced concerning ice-poor permafrost at all study sites. Interestingly, resistivity values related to ice-rich permafrost in the studied active rock glacier partly increased during the studied time period. To explain this apparent contradictory (in view of observed increase) observation, geomorphological circumstances, such as the relief and creeping behaviour of the active rock glacier, are discussed. Additional remote sensing data indicates an increased velocity in and around the active part with increased resistivity. The present study highlights alpine permafrost degradation resulting from ever-accelerating global warming.</p>
The supplemental material for "The small-amplitude dynamics of spontaneous tropical cyclogenesis"
<p>This is the supplemental material for the manuscript "The small-amplitude dynamics of spontaneous tropical cyclogenesis," submitted to Journal of the Atmospheric Sciences.</p>
Supplemental material for "Liquid argon light collection and veto modeling in GERDA Phase II"
<p>Data set for Fig. 7 of "Liquid argon light collection and veto modeling in GERDA Phase II", scientific publicaton by the GERDA Collaboration.</p>
Data supplement to "Aromatics and agriculture: A spatial approach to long-distance trade and the local economy of the Nabataeans"
<p>Data used to analyze the role of long-distance trade in the local agricultural economy of the Nabataeans, as described in Weaverdyck, E. J. S. forthcoming. "Aromatics and agriculture: A spatial approach to long-distance trade and the local economy of the Nabataeans." In S. von Reden (ed.). <em>Handbook of Ancient Afro-Eurasian Economies</em>, vol. 3. Oldenbourg: De Gruyter.</p> <p>Data sources are provided in the chapter.</p> <p>With the exception of runoff, environmental variables are rasters created using the focal statistics tool to sum the number of cells within a radius around each cell. They are named according to the following convention: f{radius}_{factor abbreviation}_{variable}.tif</p> <p>Factor abbreviations:</p> <table> <tbody> <tr> <td>A</td> <td>Aspect</td> </tr> <tr> <td>D</td> <td>DEV geomorphological land form</td> </tr> <tr> <td>H</td> <td>Hydrology</td> </tr> <tr> <td>S</td> <td>Slope</td> </tr> <tr> <td>T</td> <td>TPI geomorphological land form</td> </tr> </tbody> </table> <p>Of these environmental variables, the following were used as background variables in the MaxEnt models:</p> <table> <thead> <tr> <th scope="col">ASKP-LA</th> <th scope="col">WHS</th> </tr> </thead> <tbody> <tr> <td>f500_H_prec_soak</td> <td>f500_H_Runoff</td> </tr> <tr> <td>f500_T_Valley</td> <td>f5k_D_Ridge</td> </tr> <tr> <td>f5k_T_Ridge</td> <td>f5k_H_Runoff</td> </tr> <tr> <td>f5k_H_Runoff</td> <td>f500_D_UpperSlope_or_low_rise</td> </tr> <tr> <td>f5k_A_Northeast</td> <td>f5k_A_Southwest</td> </tr> <tr> <td>f500_D_UpperSlope_or_low_rise</td> <td>f500_D_Valley</td> </tr> <tr> <td>f5k_H_springs</td> <td> </td> </tr> <tr> <td>f5k_D_Ridge</td> <td> </td> </tr> <tr> <td>f5k_A_South</td> <td> </td> </tr> <tr> <td>f5k_A_Southwest</td> <td> </td> </tr> <tr> <td>f5k_A_Northwest</td> <td> </td> </tr> <tr> <td>f500_T_UpperSlope_or_low_rise</td> <td> </td> </tr> <tr> <td>f500_D_Lower_slope_or_shallow_valley</td> <td> </td> </tr> <tr> <td>f5k_A_North</td> <td> </td> </tr> </tbody> </table> <p> </p>
M. Kelly PhD thesis; Chapter 2 - Supplemental Table S1
<p>Supplemental Table for my PhD thesis (Chapter 2). Supplemental Table S1 contains the sample data for all specimens used in this study.</p>
M. Kelly PhD thesis; Chapter 3 - Supplemental Table S1
<p>Supplemental Table for my PhD thesis (Chapter 3). Supplemental Table S1 contains all collection and processing data for the specimens used in this study.</p>
M. Kelly PhD thesis; Chapter 2 - Supplemental Table S2
<p>Supplemental Table for my PhD thesis (Chapter 2). Supplemental Table S2 contains the biometric data for all specimens used in this study.</p>
Figs 8-13. 8-10 in Supplement to the knowledge of Scaphisomatini of Sabah, Malaysia (Coleoptera: Staphylinidae: Scaphidiinae)
Figs 8-13. 8-10 ̅ Pseudobironium rapax sp. nov.; 8, 9 ̅ Aedeagus in dorsal and lateral views, scale = 0.1 mm; 10 ̅ Internal sac in dorsal view, scale = 0.1 mm. 11-13 ̅ Scaphoxium sinuatum sp. nov.; 11 ̅ Aedeagus in dorsal view, scale = 0.1 mm; 12 ̅ Apical part of paramere, dorsal view, scale = 0.05 mm; 13 ̅ Internal sac in dorsal view, scale = 0.05 mm.
Figs 1-7. 1-4 in Supplement to the knowledge of Scaphisomatini of Sabah, Malaysia (Coleoptera: Staphylinidae: Scaphidiinae)
Figs 1-7. 1-4 ̅ Baeocera hutan sp. nov.; 1, 2 ̅ Aedeagus in dorsal and lateral views, scale = 0.2 mm; 3, 4 ̅ Internal sac in dorsal and lateral views, scale = 0.1 mm. 5-7 ̅ Pseudobironium irregulare sp. nov.; 5, 6 ̅ Aedeagus in dorsal and lateral views, scale = 0.1 mm; 7 ̅ Internal sac in dorsal view, scale = 0.1 mm.
Data and Code Supplement to: "Processes of change in a randomized clinical trial of Radically Open Dialectical Behavior Therapy (RO DBT) for adults with treatment refractory depression"
<p>Dataset to support secondary analyses reported in "Processes of change in a randomized clinical trial of Radically Open Dialectical Behavior Therapy (RO DBT) for adults with treatment refractory depression" in the Journal of Consulting and Clinical Psychology</p>
Supplemental videos to PhD thesis Evert de Froe: Dinner's Served in the Deep Sea.
<p>This file contains two supplemental videos to chapter 4 of the PhD thesis of Evert de Froe which is registered as follows:</p> <p>ISBN/EAN: 978-90-6266-643-0<br> Title: Dinner's Served in the Deep Sea<br> Subtitle: Environmental conditions, organic matter transport, and benthic fluxes at cold-water coral and sponge<br> communities in the deep sea.</p> <p>Author: Froe, Evert de</p> <p>Uitgever: Universiteit Utrecht,Bibliotheek Geowetenschappen/TNO</p> <p>Bibliografische imprint: Universiteit Utrecht,Bibliotheek Geowetenschappen/TNO</p> <p>NUR-code: 930</p> <p>NUR-omschrijving: Aardwetenschappen algemeen</p> <p>Reeks: Utrecht Studies in Earth Sciences</p> <p>Reeksnummer: 273</p> <p>Druk: 1</p> <p>Illustraties: Ja</p> <p>Aantal pagina's: 211</p> <p>Taal: Engels</p> <p>Verschijningsvorm: Paperback / softback</p> <p>Verschijningsdatum: 13-03-2023</p> <p> </p>
Supplemental Material for "Make Your Tools Sparkle with Trust: The PICSE Framework for Trust in Software Tools"
<p>This package contains the materials that were used for the paper "Make Your Tools Sparkle with Trust: The PICSE Framework for Trust in Software Tools".</p> <ul> <li><strong>Interview Script.docx</strong> contains the script that was used for the semi-structured interviews.</li> <li><strong>Codebook.xlsx </strong>contains the final codebook of the study.</li> </ul>
Dataset related to: Low Nephron Number Induced by Maternal Protein Restriction Is Prevented by Nicotinamide Riboside Supplementation Depending on Sirtuin 3 Activation
<p>The files contain all the dataset included in the manuscript divided by figures. For each figure, individual tabs indicate data from different figure panels.</p> <p> </p> <p><strong>Abstract</strong></p> <p>A reduced nephron number at birth, due to critical gestational conditions, including maternal malnutrition, is associated with the risk of developing hypertension and chronic kidney disease in adulthood. No interventions are currently available to augment nephron number. We have recently shown that sirtuin 3 (SIRT3) has an important role in dictating proper nephron endowment. The present study explored whether SIRT3 stimulation, by means of supplementation with nicotinamide riboside (NR), a precursor of the SIRT3 co-substrate nicotinamide adenine dinucleotide (NAD<sup>+</sup>), was able to improve nephron number in a murine model of a low protein (LP) diet. Our findings show that reduced nephron number in newborn mice (day 1) born to mothers fed a LP diet was associated with impaired renal SIRT3 expression, which was restored through supplementation with NR. Glomerular podocyte density, as well as the rarefaction of renal capillaries, also improved through NR administration. In mechanistic terms, the restoration of SIRT3 expression through NR was mediated by the induction of proliferator-activated receptor γ (PPARγ) coactivator-1α (PGC-1α). Moreover, NR restored SIRT3 activity, as shown by the reduction of the acetylation of optic atrophy 1 (OPA1) and superoxide dismutase 2 (SOD2), which resulted in improved mitochondrial morphology and protection against oxidative damage in mice born to mothers fed the LP diet. Our results provide evidence that it is feasible to prevent nephron mass shortage at birth through SIRT3 boosting during nephrogenesis, thus providing a therapeutic option to possibly limit the long-term sequelae of reduced nephron number in adulthood.</p>
Supplemental Data 4
<ul> <li>file contains link for download <ul> <li> <p>Download contains KG, embeddings, uniprot2genename, and reactome2pathwayname files</p> </li> <li> <p><code>data/GP2VEC_emb_walk_file_40_40_0_0_bwV4_s256_w7_n5_mc5.txt</code>: embedding KG file</p> </li> <li> <p><code>data/GP2VEC_emb_walk_file_40_40_0_0_bwV4_s256_w7_n5_mc5</code>: embedding KG file</p> </li> <li> <p><code>data/df_edges.csv</code>: main KG edge file</p> </li> <li> <p><code>data/df_node.csv</code>: KG node file</p> </li> <li> <p><code>data/df_relation.csv</code>: KG relation type file</p> </li> <li> <p><code>data/df_type.csv</code>: KG node type file</p> </li> <li> <p><code>data/original/GeneNameMapping.txt</code>: UniProtID to name mapping file. One of the input files for GeneratingKinaseGraph</p> </li> <li> <p><code>data/original/ReactomePathways.txt</code>: ReactomeID to name mapping file. One of the input files for GeneratingKianseGraph</p> </li> </ul> </li> </ul>
Data Supplement: tethys_v2.0.0 Example Data
<p>This data set contains example configuration files and inputs to accompany the version 2 release of Tethys, a spatiotemporal downscaling model for global water demand. Tethys can be accessed on GitHub here: https://github.com/JGCRI/tethys</p> <p>A description of the inputs and their sources is below.</p> <p><br> database_GCAM and database_GCAM-USA were produced using GCAM 6.0 by running the reference scenarios through the year 2030. exasmple_data.csv was extracted from database_GCAM. See: Bond-Lamberty et al. 2022. JGCRI/gcam-core: GCAM 6.0 (gcam-v6.0). Zenodo. https://doi.org/10.5281/zenodo.6619287</p> <p><br> maps are adapted from: Narayan, Kanishka, Di Vittorio, Alan, & Vernon, Chris. (2021). GCAM boundary spatial products from moirai v3.1 (1.1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4688451</p> <p><br> The folder GLW3 contains outputs from the Gridded Livestock of the World database (GLW 3) https://doi.org/10.7910/DVN/BLWPZN</p> <p>see: Gilbert M, G Nicolas, G Cinardi, S Vanwambeke, TP Van Boeckel, GRW Wint, TP Robinson (2018) Global Distribution Data for Cattle, Buffaloes, Horses, Sheep, Goats, Pigs, Chickens and Ducks in 2010. Nature Scientific data, 5:180227. https://doi.org/10.1038/sdata.2018.227</p> <p><br> Population data is from</p> <p>Jones, B., and B. C. O'Neill. 2020. Global One-Eighth Degree Population Base Year and Projection Grids Based on the Shared Socioeconomic Pathways, Revision 01. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/m30p-j498.</p> <p>Jones, B., and B. C. O'Neill. 2016. Spatially Explicit Global Population Scenarios Consistent with the Shared Socioeconomic Pathways. Environmental Research Letters, 11 (2016): 084003. https://doi.org/10.1088/1748-9326/11/8/084003.</p> <p><br> The demeter folder contains irrigated land use data from https://dx.doi.org/10.25584/data.2020-04.1190/1615771</p> <p>Chen, M., Vernon, C.R., Graham, N.T. et al. Global land use for 2015–2100 at 0.05° resolution under diverse socioeconomic and climate scenarios. Sci Data 7, 320 (2020). https://doi.org/10.1038/s41597-020-00669-x</p> <p><br> Temporal downscaling files were adapted from material prepared by Huang, Z., Hejazi, M., Li, X., Tang, Q., Vernon, C., Leng, G., Liu, Y., Döll, P., Eisner, S., Gerten, D., Hanasaki, N., and Wada, Y.: Reconstruction of global gridded monthly sectoral water withdrawals for 1971–2010 and analysis of their spatiotemporal patterns, Hydrol. Earth Syst. Sci., 22, 2117–2133, https://doi.org/10.5194/hess-22-2117-2018, 2018.</p>
Data supplement for the paper "An integrated computational strategy to predict personalized cancer drug combinations by reversing drug resistance signatures"
<p>This dataset contains the the following data created for the paper "An integrated computational strategy to predict personalized cancer drug combinations by reversing drug resistance signatures".</p> <p>Data listing:</p> <p>Cell line-specific drug resistance signatures (CDRSR)</p> <p>Patient-specific drug resistance signatures (CTR-DB)</p>
Supplemental Material: A Classification Study on Testing and Verification of AI-based Systems
<p>This archive contains the whole set of documents that have been considered in the classification study reported in the manuscript titled: "A Classification Study on Testing and Verification of AI-based Systems".</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.