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PBMDA was applied to Esophageal Neoplasms to predict the potential disease-re...
PBMDA was applied to Esophageal Neoplasms to predict the potential disease-related miRNAs, and 44 of top-50 predicted miRNAs have been confirmed according to recent experimental... -
Study dataset.
Compliance with NPG checklist items: data dictionary available in project space. In version 2, 7 errors from the previous version at database lock (publication date for PMID... -
Additional file 2: Table S2. of Evaluation and comparison of bioinformatic to...
Enriched data and their main metabolite identifiers for ORA analysis. (XLSX 9ย�kb) -
Additional file 3: of Sustained release of rhBMP-2 from microporous tricalciu...
Dataset supporting Fig. 5. (TXT 1 kb) -
r37980778c78--297fba191ab297fef6ab0766768eed26
Fifteen out of top-20 and 37 out of top-50 predicted miRNAs have been verified to be associated with Glioblastoma by HMDD, miR2Disease and dbDEMC databases. -
Modelling of ready biodegradability based on combined public and industrial d...
The European REACH (Registration, Evaluation, Authorization and restriction of Chemicals) Regulation, requires marketed chemicals to be evaluated for Ready Biodegradability... -
Additional file 5: of SUSHI: an exquisite recipe for fully documented, reprod...
List of SUSHI application. (XLS 5Â kb) -
Vigo,Urban driving, GLOSA and VRU detection
Scenario description: GLOSA and VRU detection. The autonomous vehicle makes several turns on the scenario adapting its speed to the state of the traffic light. At an... -
brightfieldPheromoneImaging_npr-1_rep10
This experiment is part of the Bright field pheromone imaging dataset for the following publication: https://www.biorxiv.org/content/early/2018/11/01/398370 strain : DA609... -
dedup_wf_001--63ec15cfdd52b8b60dd3416ab6279ef0
This repository contains bibliometric data and its visualisations: Bibliometric data Keyword: "water quality" AND diarrhoea Database: Scopus Date taken: 28 June 2017... -
Queer Japan Web Archive collection derivatives
Web archive derivatives of the Queer Japan Web Archive collection from the Ivy Plus Libraries Confederation. The derivatives were created with the Archives Unleashed... -
Additional file 1: of The active microbial community more accurately reflects...
Supporting Information. This file contains all the supporting information that is related to the manuscript, including additional results, figure captions and tables. This file... -
A Panel Data Set of Cryptocurrency Development Activity on GitHub
Contents: all-sorted-recovered-normalized-2018-01-21-to-2019-02-04.csv: CSV format of all data, sorted by date. This file contains some imputed values for missing data, and... -
Drone-Vehicle Routing Problem Instances
The following instances are originally presented in the (soon to be published) paper A large Neighborhood Search Heuristic for the Drone-Vehicle Routing Problem, written by... -
Interaction_matrices
The file ‘interaction matrices.zip’ is a compressed folder that contains 232 text files. Each file contains a matrix where each row (and column) represents a single individual.... -
Data Summary
Summary of thirty game structures that compose the full combined data set [6–13]. BR 2006 [8] and DB 2005 [7] both also conducted one-shot games; we only describe and use their... -
Sigfox and LoRaWAN Datasets for Fingerprint Localization in Large Urban and R...
INTRODUCTION The goal of these LPWAN datasets is to provide the global research community with a benchmark tool to evaluate fingerprint localization algorithms in large outdoor... -
dedup_wf_001--1d899b165a43c24fd349cad4d1cb1802
The identified modules. We listed all the 46 modules identified with our proposed method. Each module includes both genes and microRNAs. (CSV 51 kb) -
brightfieldStandardSwarmingImaging_N2_rep1
This experiment is part of the Bright field standard swarming imaging dataset for the following publication: https://www.biorxiv.org/content/early/2018/11/01/398370... -
Trained mobilenetv1 ONNX Model for MLPerf Cloud Inference
Application: Image Classification ML Task: mobilenetv1 Framework: ONNX (via tensorflow) Training Information: Quality: 70.9% Precision: fp32 Is Quantized: no Is ONNX: yes...