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A Self-Adaptive Deep Learning Method for Automated Eye Laterality Detection B...
The data for "A Self-Adaptive Deep Learning Method for Automated Eye Laterality Detection Based on Color Fundus Photography", including original image data and labels,... -
Demographic data
**P<0.01; SD, standard deviation; Max/Min, maximal/minimal.The number of participants did not differ between genders (Chi-square P>0.05). The dancer and pianist groups... -
MOESM2 of MS_HistoneDB, a manually curated resource for proteomic analysis of...
Additional file 2. FASTA file containing MS_HistoneDB human entries in a human Swiss-Prot FASTA file. -
Additional file 13: of Some data quality issues at ClinicalTrials.gov
Data with real persons. The data (71,359 records from Additional file 12: Table S10) were sorted into a “Person” sheet with the records that had the names of real people in the... -
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... -
Identidad digital científica
Seminario sobre la creación y mantenimiento de la Identidad Digital Científica impartido en las Jornadas CINAIC 2018 – EcoAprendemos, celebradas en el CICEI (Centro de... -
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 Measuring sexual behaviour in Malawi: a triangulation o...
Data tools. (ZIP 2282 kb) -
Additional file 2 of An equivalence approach to the integrative analysis of f...
Comma separated file containg original data for the Cancer lists example. Each list is a collection of Entrez identifiers from human or from another species. The file was... -
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... -
Dennis_et_al_Evolution2017
This folder contains 5 separate data files, and separate README files describing the contents of each file. -
Tema 1. Innovación Educativa
Dentro del curso ESPECIALIZACIÓN / DIPLOMADO DIRIGIDO A UN GRUPO SELECTO REPRESENTANTES DE LOS SECTORES EDUCATIVO, PRODUCTIVO Y GUBERNAMENTAL PARA LA CONSTRUCCIÓN DEL SNET... -
MeSCCon - Medical Spanish Chemical compound, drug and medication Name Lexicon...
The MeSCCon (Medical Spanish Chemical compound, drug and medication Name Lexicon) consists of a list or gazetteer of candidate names of chemicals, drugs, and medications... -
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... -
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...
