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631 results for “Customers”
Custom script for feature extraction from Genbank files
Open the record for dataset details and reuse information.
See no evil in the voice-to-voice customer service context
Open the record for dataset details and reuse information.
Custom home builder
<p>We’re a local business helping to build your community. Quality craftsmanship done right; that’s our commitment!You’ll be involved in the process from beginning to end to ensure a quality finished product that exceeds your expectations.<br> <a href="https://lamanenconstruction.com/"><strong>basement remodeling</strong></a></p>
Customer acceptance on Mobile banking adoption in the Netherlands Questionnaire and Data
<p>The purpose of this study is to gain insights into significant decision factors that influence the adoption of mobile banking in the Netherlands. Gaining insights on factors affecting user adoption of mobile banking will help banks to formulate interventions to improve user acceptance. Especially now, with the Corona crisis, such initiatives in mobile technology are even more relevant for banking. The survey is completely anonymous, it consists of 20 different questions divided over sections A, B, C, and D which will take approximately 10 minutes to answer.</p>
CusVarDB: A tool for building customized sample-specific variant protein database from Next-generation sequencing datasets
<p>CusVarDB is a windows based tool for creating a variant protein database from Next-generation sequencing datasets. The program supports variant calling for Genome, RNA-Seq and exome datasets.</p> <p>This repository will provide the resultant variant peptides identified in our study and its corresponding information. The detailed information of the table is given below.</p> <p>Supplementary Table 1. This table contains the resultant variant peptides along with its wild-type peptides from BT474, MDMAB157, MFM223, and HCC38 datasets. Along with mutant peptides, this section also provides additional information such as peptide-spectrum match (PSM), Protein accession, cross-correlation value from the search (Xcorr), and retention time (RT).</p> <p>Supplementary Table 2. This table provides the complete details of the resultant peptides. Here the mutant and corresponding wild-type peptides are mentioned in different sheets. For a given mutant peptide its wild-type peptide and corresponding information can be mapped using the VLOOKUP function in Excel by keeping column A (Sl.No) as lookup parameter.</p> <p>Supplementary Table 3. This table briefs about the variants which are already reported in other cancers.</p>
Custom House Lighter Wreck
Located under a jetty next to Custom House stairs, London. "Custom House no. 2 (site code ref. FCYa106) was a small punt-ended lighter some 5.5m long and 1.8m in the beam, designed with rowlocks but its construction included plywood, perhaps evidence of a later repair." The Thames At War by Gustav Milne. Recorded by Thames Discovery Programme - Nathalie Cohen. 286 photos taken in September 2020 with a Sony a6000 and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab
Custom Astronomical Clock
Small prop I created for my 4th-year project in ISART School of Game, 3D Animation & VFX Playing with constraints is fun :) Source: Objaverse 1.0 / Sketchfab
FR 29_Custom
Inspired from the German Kar, the FR 29 got it's name from the French FR F1. I like German Shepherds better tho if you ask me For personal and commercial use :) Dont forget to credit me tho :3 oh ye, byeee Source: Objaverse 1.0 / Sketchfab
Maturity levels of the customized CMMI-SVC for testing services and their process areas
<p>This resource is associated with the following paper:</p> <p>Assessing the maturity of software testing services using CMMI-SVC: an industrial case study</p>
Custom database for coronavirus prevalence analysis
<p>These coronavirus genomes in this dataset were obtained from the NCBI Refseq and are contained in the custom database utilised for both pan-coronavirus primer design, and homology search resulting in Figure 4c of the associated manuscript.</p>
Santander Customer Transaction Prediction
<p> Santander's transaction prediction dataset has a total of 200 features. The data is divided into three categories: 'var0-var200' are numerical features, 'IDcode' is a character type ID column, and the 'target' feature is a binary target label represented by 1 and 0. The specific attribute descriptions are shown in the table.</p>
Customized gtf file from Ensembl version 109 GRCz11 (danRer11)
<p>The gtf from Ensembl version 109 GRCz11 (danRer11) was filtered to remove transcripts on alternative chromosomes, readthrough transcripts and all non-coding transcripts from a protein-coding gene. In addition, all genes with the same gene name which overlaps were merged under the same gene id to avoid ambiguous reads.<br>The procedure to generate the gtf is described in the bash file attached.<br> </p>
Product Recommendations through Neo4j by Analyzing Patterns in Customer Purchases
<p><span>Recommendation system grows more important each day as user interaction on the internet grows in size and complexity. To achieve better user experience and personalized choice of products for each user, it is important to create a recommendation system that takes all the interaction of a user on the internet and analyzes it thoroughly to get a better understanding of the user. Understanding the user will benefit the business more as each user will get a personalized experience based on how they act. This study focuses on utilizing the graph database to gain insight into the user behavior and develop a recommendation system based on how users act on the internet. The recommender system will use the Neo4j database as it provides much functionality to work with, such as the Graph Data Science library and the Jaccard Similarity method. Using all the graph technologies that exist today, this study will enable businesses to give a personalized experience to user by providing a detailed, accurate, effective, and efficient recommendation to user.</span></p>
Small Custom End Table
A small custom end table crafted from pieces of antique furniture by B. Vasey. Model produced from an iPhone video with PhotoCatch and Blender. Source: Objaverse 1.0 / Sketchfab
ToneTwist AFx Dataset: Custom Dynamic Fuzz
<div> <div> <h3><strong>Settings</strong></h3> <table> <tbody> <tr> <td>Gain</td> <td>Sensitivity</td> <td>Attack</td> <td>Release</td> <td>Volume</td> </tr> <tr> <td>5</td> <td>10</td> <td>1ms</td> <td>2500ms</td> <td>10</td> </tr> </tbody> </table> <h3><strong>Dry with markers</strong></h3> </div> </div> <p>Dry inputs are a selection of clean guitar and bass recordings from different sources:</p> <ul> <li><a href="https://www.idmt.fraunhofer.de/en/publications/datasets/guitar.html" target="_blank" rel="noopener">IDMT-SMT-GUITAR</a> - dataset 2 (7:23 min)</li> <li><a href="https://www.idmt.fraunhofer.de/en/publications/datasets/guitar.html" target="_blank" rel="noopener">IDMT-SMT-GUITAR</a> - dataset 4 - Career SG (6:08 min)</li> <li><a href="https://www.idmt.fraunhofer.de/en/publications/datasets/guitar.html" target="_blank" rel="noopener">IDMT-SMT-GUITAR</a> - dataset 4 - Ibanez 2820 (5:14 min)</li> <li><a href="https://www.idmt.fraunhofer.de/en/publications/datasets/bass_lines.html" target="_blank" rel="noopener">IDMT-SMT-Bass-Single-Track</a> - (5:58 min)</li> <li><a href="https://github.com/sdatkinson/neural-amp-modeler?tab=readme-ov-file#download-audio-files" target="_blank" rel="noopener">NAM: Neural Amp Modeler</a> - (3:11 min)</li> <li>Private Guitar Data - (5:19 min)</li> <li>YouTube Bass Recordings - (10:09 min)</li> </ul> <p>Pre-processing:</p> <ul> <li>All: <ul> <li>synchronization markers (2 impulses) added at start and end of every file</li> </ul> </li> <li>IDMT-SMT-GUITAR - dataset 2:<br> <ul> <li>peak normalized to -6dBFS</li> </ul> </li> <li>NAM:<br> <ul> <li>no pre-processing</li> </ul> </li> <li>Others:<br> <ul> <li>peak normalized to -0.1dBFS</li> <li>signal multiplied by random number every 5 seconds (uniform distribution [0.1, 1.0] = [-20dB, 0dB])</li> </ul> </li> </ul> <div> <h3><strong>Authors</strong></h3> <p><a href="https://mcomunita.github.io/" target="_blank" rel="noopener">Marco Comunità</a> - <a href="http://c4dm.eecs.qmul.ac.uk/" target="_blank" rel="noopener">Centre for Digital Music</a>, Queen Mary University of London</p> <h3><strong>Github</strong></h3> <p><a href="https://github.com/mcomunita/tonetwist-afx-dataset" target="_blank" rel="noopener">https://github.com/mcomunita/tonetwist-afx-dataset</a></p> <h3><strong>Reference</strong></h3> <p>If you make use of this dataset, please cite the following publications:</p> <pre><code>@inproceedings{comunita2023modelling, title={Modelling black-box audio effects with time-varying feature modulation}, author={Comunit{\`a}, Marco and Steinmetz, Christian J and Phan, Huy and Reiss, Joshua D}, booktitle={ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, pages={1--5}, year={2023}, organization={IEEE} }</code></pre> <pre> </pre> <pre><code>@misc{comunità2025nablafxframeworkdifferentiableblackbox, title={NablAFx: A Framework for Differentiable Black-box and Gray-box Modeling of Audio Effects}, author={Marco Comunità and Christian J. Steinmetz and Joshua D. Reiss}, year={2025}, eprint={2502.11668}, archivePrefix={arXiv}, primaryClass={cs.SD}, url={https://arxiv.org/abs/2502.11668}, }</code></pre> </div>
Extraembryonic gut endoderm cells undergo programmed cell death during development (source data and custom code)
<p>Despite a distinct developmental origin, extraembryonic cells in mice contribute to gut endoderm and converge to transcriptionally resemble their embryonic counterparts. Notably, extraembryonic progenitors share a non-canonical epigenome, raising several pertinent questions, including whether this landscape is reset to match the embryonic regulation and if these cells persist into later development. Here, we developed a two-color lineage tracing strategy to track and isolate extraembryonic cells over time. We find that extraembryonic gut cells display substantial memory of their developmental origin including retention of their original DNA methylation landscape and resulting transcriptional signatures. Furthermore, we show that extraembryonic gut cells undergo programmed cell death and neighboring embryonic cells clear their remnants via non-professional phagocytosis. By midgestation, we no longer detect extraembryonic cells in the wild type gut while they persist and differentiate further in p53 mutant embryos. Our study provides key insights into the molecular and developmental fate of extraembryonic cells inside the embryo.</p>
The LOTUS Initiative for Open Natural Products Research: custom dictionaries
<p>Custom dictionaries created in the frame of the LOTUS Initiative: <a href="https://doi.org/10.1101/2021.02.28.433265">https://doi.org/10.1101/2021.02.28.433265</a></p>
CeA Psilocin fiber photometry study: Data and custom code from experiments looking at changes in calcium dynamics in response to an air puff events
<p>Psilocybin, and its active metabolite psilocin, have been shown to elicit rapid and long-lasting symptom improvements in a variety of affective psychiatric illnesses. However, the specific mechanisms behind these therapeutic effects remain relatively unknown. The central amygdala (CeA) is a primary output region within the extended amygdala that is heavily dysregulated in affective psychiatric disorders. Here, we utilized fiber photometry to measure changes in CeA reactivity to an aversive air puff stimulus after psilocin administration, both acutely and at varying prolonged time points. We found that administration of psilocin increased reactivity acutely in females, but not males. Additionally, we show that one dose of psilocin produced decreases in reactivity in males, but not females, 28-days post administration, with decreases seen as early as 2-days post administration. We further report stimulus-specific changes in CeA reactivity after psilocin with differential responsivity to an aversive air puff stimulus and an auditory stimulus. We also measured changes in behavioral response to the air puff stimulus and report sex differences in exploratory behavior but not threat responding or general locomotion. This study provides evidence that a single dose of psilocin can elicit sex-specific, dynamic, and enduring changes in CeA reactivity to an aversive stimulus. These data are an important step towards dissecting circuit-based mechanisms underlying the effects of psychedelics.</p>
Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified
<p>Breast cancer is the most frequently found cancer in women and the one most often subjected to genetic analysis. Nonetheless, it has been causing the largest number of women's cancer-related deaths. PAM50, the intrinsic subtype assay for breast cancer, is beneficial for diagnosis and stratified treatment but does not explain each subtype's mechanism. Nowadays, deep learning can predict the subtypes from genetic information more accurately than conventional statistical methods. However, the previous studies did not directly use deep learning to examine which genes associate with the subtypes. Ours is the first study on a deep-learning approach to reveal the mechanisms embedded in the PAM50-classified subtypes. We developed an explainable deep learning model called a point-wise linear model, which uses a meta-learning approach to generate a custom-made logistic regression model for each sample. Logistic regression is familiar to physicians and medical informatics researchers, and we can use it to analyze which genes are important for subtype prediction. The custom-made logistic regression models generated by the point-wise linear model for each subtype used the specific genes selected in other subtypes compared to the conventional logistic regression model: the overlap ratio is less than twenty percent. And analyzing the point-wise linear model's inner state, we found that the point-wise linear model used genes relevant to the cell cycle-related pathways. The results of this study suggest the potential of our explainable deep learning to play a vital role in cancer treatment.</p>
France M1897 75mm Cannon(Custom modified)
French m1897 75mm Cannon. Artillery developed in France in 1897. As this is the world's first gun equipped with anti backseat devices, the gun has a firing speed of up to 15 rounds per minute, which is far higher than other guns of the same era. Therefore, it shines brightly in the first World War, with a production and sales volume of more than 20000.(This model is custom modified with another shared model,thanks the auther's sharing) Source: Objaverse 1.0 / Sketchfab
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.