The dataset includes 3 different files: 1) MESSIDOR dataset file contains 460 original images and 460 images for every single ophthalmologist manual marking in total of 3220 images for the entire file. 2) Bin Rushed Ophthalmic center file and contains 195 original images and 195 images for every single ophthalmologist manual marking in total of 1365 images for the entire file. 3) Magrabi Eye center file and contains 95 original images and 95 images for every single ophthalmologist manual marking in total of 665 images for the entire file. The total of all the dataset images are 750 original images and 4500 manual marked images. The images are saved in JPG and TIFF format., NOTE ON THE DATA: Depositor accidentally left out 50 images from the BinRushed folder from the original deposit. A corrected BinRushed folder that includes these 50 images was added to this data set on May 21, 2018., and NOTE ON DOWNLOADING: The file "MESSIDOR.zip" is too large to be downloaded through Deep Blue Data. Please use Globus to download this file.
Ahmed Almazroa, Sami Alodhayb, Essameldin Osman, Eslam Ramadan, Mohammed Hummadi, Mohammed Dlaim, Muhannad Alkatee, Kaamran Raahemifar, Vasudevan Lakshminarayanan, "Retinal fundus images for glaucoma analysis: the RIGA dataset", Proc. SPIE 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, 105790B (6 March 2018); doi: 10.1117/12.2293584; https://doi.org/10.1117/12.2293584
This systematic review and meta-analysis assesses decision aids in the context of patients considering post-mastectomy breast reconstruction. and NOTE: An updated Read Me file was added to this data set on May 24, 2018 replacing the original.
Berlin NL, Tandon VJ, Hawley ST, et al. Feasibility and Efficacy of Decision Aids to Improve Decision Making for Postmastectomy Breast Reconstruction: A Systematic Review and Meta-analysis. Med Decis Making. 2019;39(1):5–20. https://doi.org/10.1177/0272989X18803879
The dataset represents the complete, reproducible search strategies for all literature databases searched during the systematic review. The Endnote file and the Endnote import files contain all citations considered for inclusion in the review.
The research adheres to PRISMA-HARM recommendations for systematic reviews. The reproducible search strategies for all databases, the citation export files from all databases, and the eligibility screening decisions are included in the dataset.
The dataset represents the complete search strategies for all literature databases searched during the systematic review. The Endnote and Excel files of all citations considered for inclusion in the review are also included.
Gunn AH, Smothers ZPW, Schramm-Sapyta N, Freiermuth CE, MacEachern M, Muzyk AJ. (2018). The emergency department as an opportunity for naloxone distribution. Western Journal of Emergency Medicine, 19(6), 1036-42. doi: 10.5811/westjem.2018.8.38829
The dataset includes the reproducible search strategies for all literature databases searched during the review, the key articles used to generate relevant search terms and test the effectiveness of the searches, the Endnote library that has all citations considered for inclusion, a flow chart describing the screening process, and the screening forms used for inclusion and exclusion.
Bennett K, Berlin N, MacEachern MP, Buchman S, Vercler C. (2018). The ethical and professional use of social media in surgery - A systematic review of the literature. Plastic and Reconstructive Surgery, 142(3), 388e-398e. PMID: 30148789.
The search data supports a literature review project on lifestyle therapies for the management of atrial fibrillation. The data included in the dataset are the reproducible search strategies (in docx) and the exported results of all citations from all databases (txt and ris files). These searches and exported result files contain all citations originating from the database searches that were considered for inclusion.
Abdul-Aziz AA, Altawil M, Lyon A, MacEachern M, Richardson CR, Rubenfire M, Pelosi F Jr, Jackson EA. Lifestyle Therapy for the Management of Atrial Fibrillation. Am J Cardiol. 2018 May 1;121(9):1112-1117. doi: 10.1016/j.amjcard.2018.01.023. PubMed PMID: 29650239. and https://www.ncbi.nlm.nih.gov/pubmed/29650239
This data is a subset of that originally produced as part of an effort to characterize GnRH neuron activity during prepubertal development in control and PNA mice and investigate the potential influences of sex and PNA treatment on this process (1). It was later used in (2) to further investigate the firing patterns of GnRH neurons in these categories of mice and determine how these patterns might differ based on age and treatment condition.
The data files can be opened and examined using Wavemetric's Igor Pro software. Code used to further examine and visualize the data can be found at https://gitlab.com/um-mip/mc-project-code.
This research was supported by National Institute of Health/Eunice Kennedy Shriver National Institute of Child Health and Human Development R01 HD34860 and P50 HD28934.
(1) Dulka EA, Moenter SM. Prepubertal development of gonadotropin-releasing hormone (GnRH) neuron activity is altered by sex, age and prenatal androgen exposure. Endocrinology 2017; 158:3941-3953
(2) Penix JJ, DeFazio RA, Dulka EA, Schnell S, Moenter SM. Firing patterns of gonadotropin-releasing hormone (GnRH) neurons are sculpted by their biology. Pending.
Dulka EA, Moenter SM. Prepubertal development of gonadotropin-releasing hormone (GnRH) neuron activity is altered by sex, age and prenatal androgen exposure. Endocrinology 2017; 158:3941-3953 and Penix JJ, DeFazio RA, Dulka EA, Schnell S, Moenter SM. Firing patterns of gonadotropin-releasing hormone (GnRH) neurons are sculpted by their biology. Pending.