cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22691101
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.22691407
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.22691131
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.22691155
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.22691200
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.22691209
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.22691215
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.22691218
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.22691260
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.5281/zenodo.7381501
title: Do Design Rules Have an Impact on the Understandability of RESTful APIs? A Web-Based Experiment with API Descriptions

description: This repository contains materials of a controlled experiment with 105 participants that studied the impact of design rules on the understandability of RESTful APIs. The following materials are provided: The data set (<code>results.csv</code>) with a description (<code>data-set-description.md</code>) The cleaning protocol (<code>data-cleaning-protocol.md</code>) The R analysis script (<code>analysis.R</code>) The two OpenAPI documents used as the foundation for the experiment Adhering to the rules: <code>openapi-rules.yaml</code> Violating the rules: <code>openapi-violations.yaml</code>
DOI: 10.5281/zenodo.7914650
title: Do Design Rules Have an Impact on the Understandability of RESTful APIs? A Web-Based Experiment with API Descriptions

description: This repository contains materials of a controlled experiment with 105 participants that studied the impact of design rules on the understandability of RESTful APIs. The following materials are provided: The data set (<code>results.csv</code>) with a description (<code>data-set-description.md</code>) The cleaning protocol (<code>data-cleaning-protocol.md</code>) The R analysis script (<code>analysis.R</code>) The two OpenAPI documents used as the foundation for the experiment Adhering to the rules: <code>openapi-rules.yaml</code> Violating the rules: <code>openapi-violations.yaml</code>
DOI: 10.5281/zenodo.8100320
title: Vulnerability of the sixteen Cypriot fishing shelters

description: Supplementary material for the vulnerability assessment of the 16 fishing shelters of Cyprus.
DOI: 10.5281/zenodo.8100319
title: Vulnerability of the sixteen Cypriot fishing shelters

description: Supplementary material for the vulnerability assessment of the 16 fishing shelters of Cyprus.
DOI: 10.5281/zenodo.8100380
title: Do Design Rules Have an Impact on the Understandability of RESTful APIs? A Web-Based Experiment with API Descriptions

description: This repository contains materials of a controlled experiment with 105 participants that studied the impact of design rules on the understandability of RESTful APIs. The following materials are provided: The data set (<code>results.csv</code>) with a description (<code>data-set-description.md</code>) The cleaning protocol (<code>data-cleaning-protocol.md</code>) The R analysis script (<code>analysis.R</code>) The two OpenAPI documents used as the foundation for the experiment Adhering to the rules: <code>openapi-rules.yaml</code> Violating the rules: <code>openapi-violations.yaml</code>
DOI: 10.5281/zenodo.7381500
title: Do Design Rules Have an Impact on the Understandability of RESTful APIs? A Web-Based Experiment with API Descriptions

description: This repository contains materials of a controlled experiment with 105 participants that studied the impact of design rules on the understandability of RESTful APIs. The following materials are provided: The data set (<code>results.csv</code>) with a description (<code>data-set-description.md</code>) The cleaning protocol (<code>data-cleaning-protocol.md</code>) The R analysis script (<code>analysis.R</code>) The two OpenAPI documents used as the foundation for the experiment Adhering to the rules: <code>openapi-rules.yaml</code> Violating the rules: <code>openapi-violations.yaml</code>
DOI: 10.6084/m9.figshare.22347517
title: Evidence Summary Tables for Transition Integrative Review

description: These Evidence Summary Tables support the publication <br> <strong>Challenges, Complexity and Developments in Transition Services for Young People with Disabilities, Mental Health, and Long-term Conditions: An Integrative Review.</strong> <br> <strong>1.</strong> <strong>Quality Appraisal Summary Table </strong> <strong>2.</strong> <strong>Emerging Core Themes and Sub-themes</strong>
DOI: 10.6084/m9.figshare.22347517.v1
title: Evidence Summary Tables for Transition Integrative Review

description: These Evidence Summary Tables support the publication <br> <strong>Challenges, Complexity and Developments in Transition Services for Young People with Disabilities, Mental Health, and Long-term Conditions: An Integrative Review.</strong> <br> <strong>1.</strong> <strong>Quality Appraisal Summary Table </strong> <strong>2.</strong> <strong>Emerging Core Themes and Sub-themes</strong>
DOI: 10.5281/zenodo.8095914
title: PhageHostLearn - training and test data

description: This Zenodo repository contains all the training and test data necessary to reproduce the analyses in our manuscript "<strong>Actionable prediction of <em>Klebsiella</em> phage-host specificity at the subspecies level</strong>", including raw genome sequences, processed phage RBPs and <em>Klebsiella</em> K-loci sequences and the phage-host interaction data.
description: The code related to these data can be found in our GitHub repository: https://github.com/dimiboeckaerts/PhageHostLearn. This research was funded by the Research Foundation - Flanders (FWO).
DOI: 10.5519/qd.2o1af009
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1018907 records)
DOI: 10.5281/zenodo.3736431
title: Paired omics Data Platform projects

description: The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in http://pairedomicsdata.bioinformatics.nl/. The JSON documents adhere to the http://pairedomicsdata.bioinformatics.nl/schema.json JSON schema.
DOI: 10.5281/zenodo.3736463
title: Paired omics Data Platform projects

description: The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in http://pairedomicsdata.bioinformatics.nl/. The JSON documents adhere to the http://pairedomicsdata.bioinformatics.nl/schema.json JSON schema.
DOI: 10.5281/zenodo.3738980
title: Paired omics Data Platform projects

description: The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in http://pairedomicsdata.bioinformatics.nl/. The JSON documents adhere to the http://pairedomicsdata.bioinformatics.nl/schema.json JSON schema.
DOI: 10.5281/zenodo.3835488
title: Paired omics Data Platform projects

description: The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in http://pairedomicsdata.bioinformatics.nl/. The JSON documents adhere to the http://pairedomicsdata.bioinformatics.nl/schema.json JSON schema.
DOI: 10.5281/zenodo.3937989
title: Paired omics Data Platform projects

description: The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in http://pairedomicsdata.bioinformatics.nl/. The JSON documents adhere to the http://pairedomicsdata.bioinformatics.nl/schema.json JSON schema.
DOI: 10.5281/zenodo.4011633
title: Paired omics Data Platform projects

description: The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in http://pairedomicsdata.bioinformatics.nl/. The JSON documents adhere to the http://pairedomicsdata.bioinformatics.nl/schema.json JSON schema.
DOI: 10.5281/zenodo.4432400
title: Paired omics Data Platform projects

description: The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in http://pairedomicsdata.bioinformatics.nl/. The JSON documents adhere to the http://pairedomicsdata.bioinformatics.nl/schema.json JSON schema.
DOI: 10.5281/zenodo.4454690
title: Paired omics Data Platform projects

description: The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in http://pairedomicsdata.bioinformatics.nl/. The JSON documents adhere to the http://pairedomicsdata.bioinformatics.nl/schema.json JSON schema.
DOI: 10.5281/zenodo.5494128
title: Paired omics Data Platform projects

description: The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in http://pairedomicsdata.bioinformatics.nl/. The JSON documents adhere to the http://pairedomicsdata.bioinformatics.nl/schema.json JSON schema.
DOI: 10.5281/zenodo.6024659
title: Paired omics Data Platform projects

description: The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in http://pairedomicsdata.bioinformatics.nl/. The JSON documents adhere to the http://pairedomicsdata.bioinformatics.nl/schema.json JSON schema.
DOI: 10.5281/zenodo.6077572
title: Paired omics Data Platform projects

description: The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in http://pairedomicsdata.bioinformatics.nl/. The JSON documents adhere to the http://pairedomicsdata.bioinformatics.nl/schema.json JSON schema.
DOI: 10.5281/zenodo.6323193
title: Paired omics Data Platform projects

description: The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in http://pairedomicsdata.bioinformatics.nl/. The JSON documents adhere to the http://pairedomicsdata.bioinformatics.nl/schema.json JSON schema.
DOI: 10.5281/zenodo.6403758
title: Paired omics Data Platform projects

description: The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in http://pairedomicsdata.bioinformatics.nl/. The JSON documents adhere to the http://pairedomicsdata.bioinformatics.nl/schema.json JSON schema.
DOI: 10.5281/zenodo.7039452
title: Paired omics Data Platform projects

description: The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in http://pairedomicsdata.bioinformatics.nl/. The JSON documents adhere to the http://pairedomicsdata.bioinformatics.nl/schema.json JSON schema.
DOI: 10.5281/zenodo.3736430
title: Paired omics Data Platform projects

description: The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in http://pairedomicsdata.bioinformatics.nl/. The JSON documents adhere to the http://pairedomicsdata.bioinformatics.nl/schema.json JSON schema.
DOI: 10.5281/zenodo.7269118
title: Paired omics Data Platform projects

description: The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in http://pairedomicsdata.bioinformatics.nl/. The JSON documents adhere to the http://pairedomicsdata.bioinformatics.nl/schema.json JSON schema.