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33,754 results for “Enhancers”
Enhancing Thermal Resilience in Delta Smelt: A Comparative Study of Temperature Regimes During Embryonic Development
This dataset contains larval heart rate measurements from hatchery-reared Delta Smelt (Hypomesus transpacificus), a critically endangered species native to the San Francisco Bay-Delta. The data were collected at the UC Davis Fish Conservation Physiology Lab as part of an experiment investigating how early-life exposure to different thermal environments influences cardiac performance and thermal tolerance. Embryos were incubated under three temperature regimes: constant (16°C), controlled diurnal fluctuation (16–20°C), and natural outdoor pond conditions with variable temperatures. Larval heart rate was recorded during an acute thermal ramp using a microscope-mounted camera system to track cardiac activity in real time. These data were collected to assess the physiological plasticity of Delta Smelt and to inform conservation hatchery strategies aimed at enhancing resilience to thermal stress.
Hydroxycinnamic acid extraction from prairie biomass for enhancing performance in anaerobic digestion, Iowa, 2021-2022.
This dataset contains a series of batch and continuous anaerobic digestion (AD) experiments that document the effects of hydroxycinnamic acid (HCA) extraction as a pretreatment strategy for prairie biomass to enhance methane production and digestion performance. It includes data on chemical composition of raw inputs (prairie biomass, manure, inoculum), including elemental and solids content; methane and biogas yields under various conditions: untreated vs. HCA-treated biomass, co-digestion with manure at different ratios, and operational enhancements such as biochar supplementation and liquid digestate recirculation; digestate characteristics, including pH, ammonia concentration, and total phenolic content, under different treatment and operational scenarios; optimization data for HCA extraction, detailing the influence of temperature and time on HCA yield and lignin removal; and HCA composition data, including cumulative and species-specific yields (ferulic and p-coumaric acids), and acetyl bromide soluble lignin content.
Annual seasonality trends of Enhanced Vegetation Index (EVI), Maricopa County, Arizona, 2001-2018
Description: A dataset with 18 years (2001-2018) of consistent, spatial and temporal patterns of enhanced vegetation index (EVI) values in Maricopa County AZ Abstract: This dataset consists of 18 years (2001-2018) of consistent, spatial, and temporal patterns of vegetation indices, as expressed by the enhanced vegetation index (EVI), in Maricopa County, AZ. I download and process images, at 250m resolution, from the Moderate Resolution Imaging Spectroradiometer (MODIS). MODIS uses the atmospherically-corrected reflectance in the red, near-infrared, and blue wavebands to calculate vegetation indices. In the last decades, vegetation indices have been widely used for monitoring the seasonal variation of vegetation, document vegetation structure, productivity, overall health, and land cover changes and measure vegetation productivity in desert landscapes. EVI is also of high interest to investigate the potential distribution of plant and animal species and to investigate the effect of climate change on vegetation productivity. MODIS data were obtained from https://lpdaac.usgs.gov, maintained by the NASA EOSDIS Land Processes Distributed Active Archive Center (LP DAAC) at the USGS Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota. Spatial Extent: Maricopa County, AZ, USA.
Climate Change Across Seasons Experiment (CCASE) at the Hubbard Brook Experimental Forest: Tree Growth Data in support of "Declining Winter Snowpack Offsets Carbon Storage Enhancement from Growing Season Warming in Northern Temperate Forest Ecosystems", Conrad-Rooney et al. PNAS 2025
Data associated with the publication: Conrad-Rooney E, AB Reinmann, PH Templer. Declining Winter Snowpack Offsets Carbon Storage Enhancement from Growing Season Warming in Northern Temperate Forest Ecosystems. Proceedings of the National Academy of Sciences, 2025. This dataset includes cumulative stem biomass carbon data (from pre-treatment in 2012 until 2022) and annual stem biomass growth rates (not cumulative) for 2015-2022 for the red maple trees at the Climate Change Across Seasons Experiment. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Climate Change Across Seasons Experiment (CCASE) at the Hubbard Brook Experimental Forest: Soil Temperature, Soil Frost, and Snow Depth Data in support of "Declining Winter Snowpack Offsets Carbon Storage Enhancement from Growing Season Warming in Northern Temperate Forest Ecosystems", Conrad-Rooney et al. PNAS 2025
Data associated with the publication: Conrad-Rooney E, AB Reinmann, PH Templer. Declining Winter Snowpack Offsets Carbon Storage Enhancement from Growing Season Warming in Northern Temperate Forest Ecosystems. Proceedings of the National Academy of Sciences, 2025. This dataset includes soil temperature (winter 2021-2022) and snow depth and frost depth (winter 2022-2023) at the Climate Change Across Seasons Experiment. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Pre-dawn water potential of leaves from reduced and enhanced precipitation treatments at the Jornada Basin LTER site, 2007-2008
This data package contains pre-dawn water potential data for leaves collected from mesquite shrubs and black grama grasses at the Jornada Basin LTER site in 2007-2008. The purpose of this study was to quantify ecophysiological performance of shrubs and grasses in the context of precipitation manipulations. One mesquite and one black grama leaf from each plot (n = 20 plots; 5 PPT treatments X 4 replicate plots/treatment) were measured 5 times beginning July 2007 and ending in August 2008. The precipitation treatments consisted of +/-80%, +/-50%, and ambient/control. Leaves were excised from plants and immediately measured for water potential (MPa) with a pressure chamber at least 0.5 h before dawn. The data set is complete.
Rainfall intensification enhances deep percolation and soil water content at the Kellogg Biological Station, Hickory Corners, MI (2015 to 2016)
Dataset AbstractData supporting the paper Hess, L., E. L. Hinckley, G. P. Robertson, S. K. Hamilton, and P. Matson. 2018. DOI: 10.2136/vzj2018.07.0128original data source http://lter.kbs.msu.edu/datasets/198
Dataset related to the article "Laboratory-scale hydraulic fracturing dataset for benchmarking of Enhanced Geothermal System simulation tools"
<p>Experimental results from hydraulic fracturing experiments performed in granite and marble samples of size 30 cm × 30 cm × 45 cm under well-defined boundary conditions.</p> <p>Datasets include:</p> <ul> <li>pressure versus flow-rate response</li> <li>acoustic emission data from a dense network of 32 seismic sensors</li> <li>detailed description of the experimental set-up and adopted test protocol</li> <li>mechanical and petrophysical properties of the samples</li> <li>python code for seismic data processing</li> </ul> <p>This complete collection of data, obtained within the framework of European Union’s Horizon 2020 project GEMex, is rare in its kind and indispensable for verification of model assumptions and constitutive relationships of numerical codes used for designing field-scale hydraulic fracturing experiments.</p>
Dataset used in manuscript Tailored Nanoscale Plasmon-Enhanced Vibrational Electron Spectroscopy
<p>This file contains the raw dataset used in the manuscript "Tailored Nanoscale Plasmon-Enhanced Vibrational Electron Spectroscopy" published in L. H. G. Tizei et al Nano Letters, 2020 (doi: 10.1021/acs.nanolett.9b04659)</p> <p><br> Data has been acquired using Nion Swift (https://nionswift.readthedocs.io/en/stable/). Experimental details can be found in L. H. G. Tizei et al Nano Letters, 2020 (doi: 10.1021/acs.nanolett.9b04659).<br> <br> The dataset has been analyzed using the following Python libraries:</p> <p>Numpy, Scipy, Hyperspy, Matplotlib</p> <p>EELS hyperspectral images have been aligned using the Hyperspy "align1D" method. Aligned EELS hyperspectral images are saved in files finished with "_Aligned.hspy":</p> <p>For the strong coupling experiments:<br> Tip 1 is on hBN<br> Tip 2 is on vacuum</p> <p>For each of the nanowires tips, a file with the fitted coefficients are available, as well as a plot of the data and the fitted curve.</p> <p>Datasets have been fitted with gaussian and/or lorentizan functions, as described in the published text.</p> <p>Any question can be forwarded to the corresponding authors of the published text.</p> <p> </p>
Enhanced Molecular Spin-Photon Coupling at Superconducting Nanoconstrictions. Open data sets
<p>Includes data relevant for publication with DOI <a href="https://doi.org/10.1021/acsnano.0c03167">10.1021/acsnano.0c03167</a> plus a table with information on how the data were obtained and processed.</p>
Use of GIMP Retinex filter to enhance the visibility of craquelure: example n. 1
<p>In the image, A represents the original image. It is a detail of the Portrait of a Young Girl, by Petrus Christus, (high resolution), courtesy Wikipedia. B is the grey-tone corresponding image. C is the image that we can obtain using the GIMP thresholding (threshold tone T = 127), applied to B. D is the image that we can have, applying GIMP Retinex on B (level=low, scale=250, scale div.=8, dynamics=4,0). E is the result of the thresholding of D (T = 127). F is the image obtained by means of the use of generic filter Erode on E. G is the result of applying Retinex (the same parameters used to obtain D) on D. H is the result of thresholding (T = 127), and I is the craquelure as we can see it after applying Erode. L is the Retinex filtered G (the same parameters as for G and D), M is the effect of thresholding and N the final result after using Erode. The example shows that the use of a thresholding on a Retinex filtered image gives much better results than the simple thresholding. This approach, that is the use of Retinex filtering, represents a fast manner for enhancing the visibility of craquelure. The iteration of the Retinex filter is also interesting for working on very dark areas.</p>
Use of GIMP Retinex filter to enhance the visibility of craquelure: example n. 6
<p>In the previously proposed figures (*), the GIMP Retinex filter had been applied to greyscale images, to enhance the visibility of dark craquelure in bright backgrounds. After processing, a black and white map had been obtained, suitable for any possible further processing, even for automatic processing. In (**), we have shown an example of the use of GIMP Retinex to observe the craquelure in dark areas. We observed that when craquelure is present in bright and dark scenes, it seems better to use the GIMP Retinex directly on the colour image. Here an example is given on the Lady Seated at a Virginal, a painting created by Dutch artist Johannes Vermeer (highest resolution), courtesy Wikipedia. A is a detail. A0, A1,A2, A3, and A4 are the images we can obtain by applying GIMP Retinex filter on A, level=low, scale=250, scale div.=8, with dynamics equal to 0,0 1,0 2,0 3,0 and 4,0 respectively. On this detail, it seems that the best manner to enhance the visibility of craquelure is that of using dynamics 2,0. In the lower panel, a larger detail of the painting is given, processed by the filter with dynamics 2,0. The example suggests that use of Retinex filtering on colour images represents a fast manner for enhancing in them the visibility of craquelure.</p> <p>(*) Figures at http://doi.org/10.5281/zenodo.3956124 http://doi.org/10.5281/zenodo.3956204 http://doi.org/10.5281/zenodo.3957439 http://doi.org/10.5281/zenodo.3957799<br> (**) http://doi.org/10.5281/zenodo.3959017</p>
Putative human enhancers based on ReMap 2018 (hg38)
<p>To generate a collection of putative enhancer regions, we collected all transcription factor ChIP-seq peaks from ReMap 2018 (ref remap; <a href="http://remap.univ-amu.fr/storage/remap2018/hg38/MACS/remap2018_all_macs2_hg38_v1_2.bed.gz">http://remap.univ-amu.fr/storage/remap2018/hg38/MACS/remap2018_all_macs2_hg38_v1_2.bed.gz</a>). We took the summit of all peaks and extended these 25 bp up- and downstream. Based on this file, we generated a coverage bedGraph using bedtools genomecov. We performed peak calling on this bedGraph file using bdgpeakcall from MACS2 2.2.7.1, with the following settings: l=50 and g=10. We performed the peak calling twice, setting c to 4 and 30, respectively. All peaks from c=30 were combined with all peaks of c=4 that did not overlap with the peaks of c=30. We then removed all regions on chrM and extended the summit of the peaks 100 bp up- and downstream to generate a final collection of 1,268,775 putative enhancers of 200 bp.</p>
Data from: Populus euphratica WRKY1 binds the promoter of PeHA1 to enhance gene expression and salt tolerance
<p>Plasma membrane proton pumps play a crucial role in maintaining ionic homeostasis in salt-resistant <i><span>Populus euphratica</span></i> under saline conditions<i><span>. </span></i>High levels of NaCl (200 mM) induced <i><span>PeHA1</span></i> expression in <i><span>P. euphratica</span></i> roots and leaves. We isolated a 2022-bp promoter fragment upstream of the translational start of <i><span>PeHA1 </span></i>from<i><span> P. euphratica</span></i>. The promoter-reporter construct <i><span>PeHA1-pro</span></i>::<i><span>GUS</span></i> was transferred to tobacco plants, demonstrating that β-glucuronidase activities increased in root, leaf, and stem tissues under salt stress. DNA affinity purification sequencing revealed that PeWRKY1 protein targeted the<i><span> PeHA1</span></i> gene. We assessed the salt-induced transcriptional response of PeWRKY1 and its interaction with <i><span>PeHA1</span></i> in <i><span>P. euphratica</span></i>. PeWRKY1 binding to the <i><span>PeHA1 </span></i>W-box in promoter region was verified by a yeast one-hybrid assay, electrophoretic mobility shift assay, luciferase reporter assay, and virus-induced gene silencing. Transgenic tobacco plants overexpressing <i><span>PeWRKY1</span></i> had improved expression of <i><span>NtHA4, </span></i>which has a cis-acting W-box in the regulatory region, and H<sup><span>+</span></sup> pumping activity in both in vivo and in vitro assays. We conclude that salt stress upregulated <i><span>PeHA1</span></i> transcription due to the binding of PeWRKY1 to the W-box in the promoter region of <i><span>Pe</span></i><i><span>HA1</span></i>. Thus, we conclude that enhanced H<sup><span>+</span></sup> pumping activity enabled salt-stressed plants to retain Na<sup><span>+</span></sup> homeostasis.</p>
Enhanced Bug Prediction in JavaScript Programs with Hybrid Call-Graph Based Invocation Metrics (Training Dataset)
<p>This dataset consists of multiple files which contain bug prediction training data.</p> <p>The entries in the dataset are JavaScript functions either being buggy or non-buggy. Bug related information was obtained from the project EsLint contained in BugsJS (https://github.com/BugsJS/eslint). The buggy instances were collected throughout the lifetime of the project, however we added non-buggy entries from the latest version which is tagged as fix (entries which were previously included as buggy were not included as non-buggy later on).</p> <p>The dataset is based on hybrid call graphs which are constructed by https://github.com/sed-szeged/hcg-js-framework. The result of this tool is a call graph where the edges are associated with a confidence level which shows how likely the given edge is a valid call edge.</p> <p>We used different threshold values from which we considered the edges to be valid. The following threshold values were used:</p> <ul> <li>0.00</li> <li>0.05</li> <li>0.20</li> <li>0.30</li> </ul> <p>The prefix in the dataset file names are coming from the used threshold. The the datasets include coupling metrics NII (Nubmer of Incoming Invocations) and NOI (Number of Outgoing Invocations) which were calculated by a static source code analyzer called SourceMeter. Hybrid counterparts of these metrics (HNII and HNOI) are based on the given threshold values.</p> <p>There are four variants for all of these datasets:</p> <ul> <li>Both static (NII, NOi) and hybrid (HNII, HNOI) coupling metrics are included with additional static source code metrics and information about the entries (file without any postfix). Column contained only in this dataset are: <ul> <li>ID</li> <li>Name</li> <li>Longname</li> <li>Parent ID</li> <li>Component ID</li> <li>Path</li> <li>Line</li> <li>Column</li> <li>EndLine</li> <li>EndColumn</li> </ul> </li> <li>Both static (NII, NOi) and hybrid (HNII, HNOI) coupling metrics are included with additional static source code metrics (file with '_h+s' postfix)</li> <li>Only static (NII, NOI) coupling metrics are included with additional static source code metrics (file with '_s' postfix)</li> <li>Only hybrid (HNII, HNOI) coupling metrics are included with additional static source code metrics (file with '_h' postfix)</li> </ul> <p>Static source code metrics which are contained in all dataset are the following:</p> <ul> <li>McCC - McCabe Cyclomatic Complexity</li> <li>NL - Nesting Level</li> <li>NLE - Nesting Level Else If</li> <li>CD - Comment Density</li> <li>CLOC - Comment Lines of Code</li> <li>DLOC - Documentation Lines of Code</li> <li>TCD - Total Comment Density (Comment Lines in an emedded function will be also considered)</li> <li>TCLOC - Total Comment Lines of Code (Comment Lines in an emedded function will be also considered)</li> <li>LLOC - Logical Lines of Code (Comment and empty lines not counted)</li> <li>LOC - Lines of Code (Comment and empty lines are counted)</li> <li>NOS - Number of Statements</li> <li>NUMPAR - Number of Parameters</li> <li>TLLOC - Logical Lines of Code (Lines in embedded functions are also counted)</li> <li>TLOC - Lines of Code (Lines in embedded functions are also counted)</li> <li>TNOS - Total Number of Statements (Statements in embedded functions are also counted)</li> </ul>
data for article "Enhancement of Superconductivity by Amorphizing Molybdenum Silicide Films Using a Focused Ion Beam"
<p>This dataset is the compilation of data used in the article "Enhancement of Superconductivity by Amorphizing Molybdenum Silicide Films Using a Focused Ion Beam" (<a href="https://doi.org/10.3390/nano10050950">https://doi.org/10.3390/nano10050950</a>). For more info of samples see metadata2.txt</p>
Enhancing Open Modification Searches via a Combined Approach Facilitated by Ursgal
<p>The identification of peptide sequences and their post-translational modifications (PTMs) is a crucial step in the analysis of bottom-up proteomics data. The recent development of open modification search (OMS) engines allows virtually all PTMs to be searched for. This not only increases the number of spectra that can be matched to peptides but also greatly advances the understanding of biological roles of PTMs through the identification, and thereby facilitated quantification, of peptidoforms (peptide sequences and their potential PTMs). While the benefits of combining results from multiple protein database search engines has been established previously, similar approaches for OMS results are missing so far. Here, we compare and combine results from three different OMS engines, demonstrating an increase in peptide spectrum matches of 8-18%. The unification of search results furthermore allows for the combined downstream processing of search results, including the mapping to potential PTMs. Finally, we test for the ability of OMS engines to identify glycosylated peptides. The implementation of these engines in the Python framework Ursgal facilitates the straightforward application of OMS with unified parameters and results files, thereby enabling yet unmatched high-throughput, large-scale data analysis.</p> <p>This dataset includes all relevant results files, databases, and scripts that correspond to the accompanying journal article. Specifically, the following files are deposited:</p> <ul> <li>Homo_sapiens_PXD004452_results.zip: result files from OMS and CS for the dataset PXD004452</li> <li>Homo_sapiens_PXD013715_results.zip: result files from OMS and CS for the dataset PXD013715</li> <li>Haloferax_volcanii_PXD021874_results.zip: result files from OMS and CS for the dataset PXD021874</li> <li>Escherichia_coli_PXD000498_results.zip: result files from OMS and CS for the dataset PXD000498</li> <li>databases.zip: target-decoy databases for <em>Homo sapiens</em>, <em>Escherichia coli </em>and <em>Haloferax volcanii</em> as well as a glycan database for <em>Homo sapiens</em></li> <li>scripts.zip: example scripts for all relevant steps of the analysis</li> <li>mzml_files.zip: mzML files for all included datasets</li> <li>ursgal.zip: current version of Ursgal (0.6.7) that has been used to generate the results (for most recent versions see https://github.com/ursgal/ursgal)</li> </ul>
Policy options for resilience-enhancing farm demographics
<p>European agriculture as well as the wider economy face substantial demographic changes in the upcoming decades. The baby boomer generation will retire within the next 10 to 15 years and the cohorts of the young generations which will enter the labour market in the next decades are much smaller in size. Accordingly, the farming sector will have to compete with other sectors and urban areas which offer attractive career prospects. The SURE-Farm project seeks to better understand the sustainability and resilience of European farming systems, including the challenges related to farm demographics and what this means for structural change. This policy brief aims to tie the findings of SURE-Farm on farm demographics with policy options which may enable resilient farm structures.</p>
Evolution enhances mutational robustness and suppresses the emergence of a new phenotype
<p>Source codes and data sets for arXiv:2012.03030. For details, see readme.txt file.</p>
Data from: Enriching the ant tree of life: enhanced UCE bait set for genome-scale phylogenetics of ants and other Hymenoptera
1. Targeted enrichment of conserved genomic regions (e.g., ultraconserved elements or UCEs) has emerged as a promising tool for inferring evolutionary history in many organismal groups. Because the UCE approach is still relatively new, much remains to be learned about how best to identify UCE loci and design baits to enrich them. 2. We test an updated UCE identification and bait design workflow for the insect order Hymenoptera, with a particular focus on ants. The new strategy augments a previous bait design for Hymenoptera by (a) changing the parameters by which conserved genomic regions are identified and retained, and (b) increasing the number of genomes used for locus identification and bait design. We perform in vitro validation of the approach in ants by synthesizing an ant-specific bait set that targets UCE loci and a set of "legacy" phylogenetic markers. Using this bait set, we generate new data for 84 taxa (16/17 ant subfamilies) and extract loci from an additional 17 genome-enabled taxa. We then use these data to examine UCE capture success and phylogenetic performance across ants. We also test the workability of extracting legacy markers from enriched samples and combining the data with published data sets. 3. The updated bait design (hym-v2) contained a total of 2,590-targeted UCE loci for Hymenoptera, significantly increasing the number of loci relative to the original bait set (hym-v1; 1,510 loci). Across 38 genome-enabled Hymenoptera and 84 enriched samples, experiments demonstrated a high and unbiased capture success rate, with the mean locus enrichment rate being 2,214 loci per sample. Phylogenomic analyses of ants produced a robust tree that included strong support for previously uncertain relationships. Complementing the UCE results, we successfully enriched legacy markers, combined the data with published Sanger data sets, and generated a comprehensive ant phylogeny containing 1,060 terminals. 4. Overall, the new UCE bait design strategy resulted in an enhanced bait set for genome-scale phylogenetics in ants and likely all of Hymenoptera. Our in vitro tests demonstrate the utility of the updated design workflow, providing evidence that this approach could be applied to any organismal group with available genomic information.
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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.