Find research datasets worth reusing

opencc-by-4.0Jan 2019View details →

Supplementary Material: Comparing Formal Tools for System Design: a Case Study from the Railway Domain

The package includes a set of models for a railway moving-block system: (a) a PDF document named Moving-block Model and Requirements.pdf, which includes a UML model of a moving-block system together with a set of requirements for the system; (b) a set of 10 folders, each one associated to a formal or semi-formal development tool. Each folder contains one or more model of the moving-block system from (a), developed by means of the tool.

opencc-by-nc-sa-1.0Jan 2019View details →

Vision dataset for ColRobot WP6 use-case

A specific 2D sensing system, comprising of a 2D camera, a backlit feeder and its associated processing has been developed for the ColRobot kitting use-case. This sensing system is integrated with the gripper and the robot. The objective of the sensing system is to detect and locate the kitting parts (notably screws, washers and nuts) in order to grasp them. The sensing system must be able: <ul> <li>To be rapidly reconfigured for parts of new dimensions (in case of evolution of the kitting specifications), without reprogramming.</li> <li>To be able to isolate parts among similar (but not identical) parts.</li> <li>To be able to avoid detecting parts that are overlapping.</li> </ul> To be able to avoid detecting parts that are too close to each other (clearance should be above 6mm). Constraints are imposed on the processing algorithm to avoid grasping issues: <ul> <li>Do not detect overlapping parts.</li> <li>Do not detect parts too close to another part (identical or not), i.e. keep 6mm clearance around any detected part.</li> </ul> All input pictures are taken with the same sensor, at the same distance to the backlit feeder. Processing parameters are the same for all images. The list of parts to be detected with their parameters is given below in the Data input section. For all input images, all parts given in the input parameters are searched for and an output image is created if found highlighting a point of interest of the part, and an associated oriented frame. On some input images, additional (non-referenced) parts are present in order to test the discrimination properties of the algorithm (false positives). The dataset takes the following format: <ul> <li>Input data: <ul> <li>List of input images.</li> <li>Table of parameters to be given to the processing algorithm for each input image. <ul> <li>For each part, a part type, and an ordered list of dimensions (semantics depending on the part type).</li> </ul> </li> </ul> </li> <li>Output data: <ul> <li>A structured folder of output images <ul> <li>For each input images, a clone of the input image is created for each part described in the input parameters, only if found, and highlighting: <ul> <li>A point of interest (static in the part frame for a given part type).</li> <li>An associated frame describing the part orientation.</li> </ul> </li> </ul> </li> </ul> </li> </ul>

opencc-by-4.0Jan 2019View details →

JCDL 2019, ORKG, use case dataset

DILS 2019 use-case dataset, collected via subject matter experts to represent DILS 2019 papers as a machine readable graph model

Case report: Large-cell calcifying Sertoli cell tumor

Case history 21-year-old male with a painless mass in the right testicle and a prior history of cutaneous lesions.   Histologic findings Figures show a proliferation composed of large, polygonal cells with ample, eosinophilic cytoplasm, round nuclei, evident nucleoli, with a trabecular, cord-like pattern of growth, associated with foci of dystrophic calcification and psammomatous bodies, within a myxoid loose stroma.   Discussion Large-cell calcifying Sertoli cell tumor is an unusual morphological variant of Sertoli cell tumors composed of large polygonal Sertoli cells associated with calcification. Around one third of all cases appear in patients with the Carney or, less frequently, with the Peutz-Jeghers syndrome. Clinically, it presents as a small (<2 cm), painless testicular mass, which can be bilateral and multifocal in about 40% of the cases, especially in syndromic settings. In non-sporadic cases extratesticular manifestations are related to the associated syndrome, such as myxomas of the skin, soft-tissue, and heart and myxoid lesions of the breast, facial lentigines, cutaneous blue nevi, secondary Cushing syndrome due to pigmented adrenocortical nodular hyperplasia, pituitary somatotroph adenomas, and psammomatous melanotic schwannomas. Microscopically, solid, tubular, and cord-like growth patterns can be observed. Tumor cells are large polygonal with abundant eosinophilic, finely granular cytoplasm, vesicular nuclei with prominent nucleoli, within a myxohyaline stroma. Distinct calcifications characterized by large, laminated calcified nodule, psammoma bodies and focal ossification, and neutrophilic infiltration, can be also found. The presence of large tumor size (>4 cm), overt nuclear atypias, increased mitotic activity (>3 mitosis/10 HPF), necrosis, extratesticular extension, and vascular invasion are associated with clinical aggressive behavior. Malignant tumors appear in patients older than 25 years old and are usually not associated with syndromes. Tumor cells are positive for vimentin, S-100, EMA, melan-A, desmin, and inhibin, and focally positive for cytokeratins. The main differential diagnoses of large-cell calcifying Sertoli cell tumor include Sertoli cell and Leydig cell tumors. Most of the cases behave indolently, and surgical excision is the treatment of choice.

Case report: Adenosquamous carcinoma of the penis

Case history 55-year-old patient with a penile tumor located in the perimeatal area of the glans   Histologic findings Microphotographs show a biphasic proliferation of tumors cells showing squamous and glandular differentiation, deeply infiltrating penile erectile tissues. Squamous and glandular structures are found either segregated or in the same tumor nests.   Discussion Adenosquamous carcinoma is a rare penile SCC variant characterized by the presence of solid squamous tumor nests intermingled with areas of glandular differentiation. Less than 20 cases have been reported. The tumor originates in the glans central/perimeatal region and has a tendency for deep infiltration. Most tumors are of high-grade, with frequent vascular and perineural invasion. Metastatic rate is high but cancer-specific mortality remains low. Histologically, areas with squamous differentiation predominate. The glandular component is positive for mucin stains and CEA. The main differential diagnosis is with penile tumors with glandular features, including mucoepidermoid, pseudoglandular, urothelial carcinomas of distal urethra with glandular differentiation and true adenocarcinomas of Littré glands. Mucoepidermoid carcinoma of penis is an exceedingly rare tumor which is histologically similar to its cervical counterpart. Neoplastic population is composed of cell with squamous differentiation and cells showing evidence of glandular differentiation (pale, granular and ample cytoplasm with positivity for mucin stains and CEA) without well-defined glandular or ductal structures. Although more data are needed, it seems that mucoepidermoid carcinoma is more aggressive than conventional adenosquamous carcinoma. In pseudoglandular carcinoma the extensive acantholysis can simulate glands lumina but there is no true epithelial lining. Urothelial carcinomas originating in the penile distal urethra or extending from prostate, bladder or even ureter/renal pelvis, can depict glandular features. However, a previous history of urothelial carcinoma elsewhere and the frequent finding of in situ urothelial carcinoma (which is absent in adenosquamous carcinoma) aid in the differential diagnosis. In adenocarcinomas originating in Littré glands there is no true squamous differentiation and tumors tend to be ventrally located with only secondary extension to the perimeatal glans area. Finally, entrapment of Littré’s glans by an otherwise usual SCC can simulate the aspect of an adenosquamous carcinoma. However, the morphology of the glandular component remains bland and admixtures are limited to the periurethral area.   Selected references <a href="https://www.ncbi.nlm.nih.gov/pubmed/22641956">Chaux & Cubilla. Semin Diagn Pathol. 2012 29(2): 72-82</a> <a href="https://www.ncbi.nlm.nih.gov/pubmed/8554104">Cubilla et al. Am J Surg Pathol. 1996 20(2): 156-60</a> <a href="https://www.ncbi.nlm.nih.gov/pubmed/16924331">Romero et al. Clinics (Sao Paulo). 2006 61(4): 363-4</a>

Example structure of data sent from a citizen science platformback to a collection management system, multi-determined case

Illustrative example of data format following Darwin Core sent back from a citizen science platform to the relevant collection management system. Multi-determined herbarium sheet case : http://coldb.mnhn.fr/catalognumber/mnhn/p/p01978557 Illustration of the milestone28 document, worpackage 5.2 of the ICEDIG project.

Example structure of data sent from a citizen science platformback to a collection management system, simple case

Illustrative example of data format following Darwin Core sent back from a citizen science platform to the relevant collection management system. Simple case : http://coldb.mnhn.fr/catalognumber/mnhn/p/p03558024 Illustration of the milestone28 document, worpackage 5.2 of the ICEDIG project.

Example structure of data sent from a collection management system to a citizen science platform, multi-imaged case

Illustrative example of data format following Darwin Core to send from a collection management system to a citizen science platform. Multi-imaged vertebrate specimen case : http://coldb.mnhn.fr/catalognumber/mnhn/zo/2013-152 Illustration of the milestone28 document, worpackage 5.2 of the ICEDIG project.

Example structure of data sent from a collection management system to a citizen science platform, simple case

Illustrative example of data format following Darwin Core to send from a collection management system to a citizen science platform. Simple case : http://coldb.mnhn.fr/catalognumber/mnhn/p/p03558024 Illustration of the milestone28 document, worpackage 5.2 of the ICEDIG project.

Bioexcel building blocks test cases

Bioexcel building blocks test cases for Lysozyme and Pyruvate Kinase executed in Workstations, OpenNebula VMs and MareNostrum4 HPC.

opencc-by-4.0Jan 2019View details →

Application Cases of Inverse Modelling with the PROPTI Framework - Data Set

Contents Set of simulation data, supplementary for a paper submitted to (published: 15 June 2019) the Fire Safety Journal, with the title <a href="https://www.sciencedirect.com/science/article/pii/S0379711219300438">"Application Cases of Inverse Modelling with the PROPTI Framework"</a>. See also our project at <a href="https://www.researchgate.net/project/PROPTI-An-Generalised-Inverse-Modelling-Framework">ResearchGate</a>. This repository contains the complete input data for each IMP run of the mass loss calorimeter, shown in this paper. This comprises of the experimental data files, the templates for the simulation models and the input file for PROPTI. The data base files are provided. This includes the original ones created by PROPTI during the run, as well as the cleaned data base files, used to create the plots, and the extracted best parameter sets per generation. Plots, created during the IMP runs as means of monitoring the progress are also included. Furthermore, the repository contains a small collection of Jupyter notebooks which have been used to process the data base files and create the plots presented in this paper. The full factorial simulations were set up from within a Jupyter notebook. This notebook and the conducted simulations are also part of this repository. Data of the various TGA simulations are provided within a very <a href="https://zenodo.org/record/2538851#.XSXfAXtCSUk">similar repository</a>, linked to a <a href="https://www.researchgate.net/publication/328933654_PROPTI_-_A_Generalised_Inverse_Modelling_Framework">conference paper</a> (ESFSS 2018, Nancy, France). Finally, the simulation input files, PROPTI input, as well as the custom script for file handling in concert with OpenFOAM, are provided.   Technical Information Each ZIP archive represents a sub-directory of the original directory. For the analysis scripts, the Jupyter notebooks, to work properly out of the box it is necessary to keep this structure. Thus, simply extract all archives into the same directory. Note: Size on disc, after extraction, is about 4.1 GB. Version 2 adds about 5.1 GB.   Version 2: Version 2 contains new IMP runs that address an error in determining the normalised residual mass, see Jupyter Notebook "RevisedTargetAssessment.ipynb", as well as input from the reviewers. The IMP runs are denoted by "08" after the optimisation algorithm label, e.g. "MLC_FSCABC_08_new_75kw_Ins".

opencc-by-4.0Jul 2019View details →

Data set supporting journal article: Markwitz, C. and Siebicke, L.: "Low-cost eddy covariance: a case study of evapotranspiration over agroforestry in Germany", Atmos. Meas. Tech., 2019

This data set contains evapotranspiration data obtained by a conventional eddy covariance set-up and a low-cost eddy covariance set-up as described in the research article: Markwitz, C. and Siebicke, L.: "Low-cost eddy covariance: a case study of evapotranspiration over agroforestry in Germany", Atmos. Meas. Tech., 2019. The data set contains all necessary data needed to replicate figures and analysis presented in the research article. The data sets are sorted and named according to the figure the data were used for.

opencc-by-4.0Sep 2019View details →

PERCEIVE Education, Research Development and Innovation in the South-East Development Region A Case Study 20191006

The data set include secondary data extracted from EUROSTAT database. The data set referring to the education and research infrastructure on Sud-Est NUTS II region from Romania for the period 2007-2013.

opencc-by-4.0Jul 2019View details →

APRSuite: A Suite of Components and Use Cases Based on Categorical Decomposition of Automatic Program Repair Techniques and Tools

During the last decade, we are witnessing the advent of a proliferation of techniques and associated tools for automatic program repair (APR). The current techniques and tools provide rich sources of knowledge that should be taken into consideration for future research. An overview of the current APR techniques and tools can serve the research community as a knowledge accumulator. However, APR techniques and tools differ in many aspects making knowledge accumulation challenging. To overcome this challenge, in this paper, we propose to leverage common components that constitute the APR techniques and tools. To achieve this objective, we surveyed current APR techniques and tools to identify the APR Suite of common constituent components, namely as APRSuite. Repair source and defect class are examples of identified components. We grouped these components into several categories such as patch evaluation and target defects. We have also identified some of the possible use cases per component as well as different lessons learned in studies for each component and for each use case. In addition, we developed a principled way for application of the components. The APRSuite and the principled way to apply it comprise a framework for knowledge accumulation, evaluation, and comparison of APR techniques and tools. The novelty of our work lies in its original viewpoint to the process of literature review in the APR research field. To demonstrate the applicability of the framework, we mapped out several concrete APR techniques, as a first instantiation of the framework. We observed that the framework brings discipline into the evaluation and/or comparison of APR techniques and tools. The framework offers these benefits objectively and systematically. We concluded that knowledge accumulation and characterization through literature reviews can be therefore facilitated through the identified suite of components while at the same time the existing component suite can be modified, augmented, or improved.

PERCEIVE. WP4_ T4-5_Citizens vs Practitioners views of the EU Cohesion Policy in 9 PERCEIVE case-study regions

This dataset contains data related to the papers: Tudor MM, Florian V, Rosu, SE, Kruzslicika M (2019) "Citizens’ vs practitioners’ perception on EU regional approach", published by Rural areas and Development & Tudor MM, Florian V (2019) "Percepția cetățenilor vs. percepția practicienilor cu privire la politica de coeziune a UE", published in proceedings of "Piețele Agricole și Spațiul Rural în Contextul Modernizării și Simplificării Politicii Agricole Comune". The dataset was built collecting data from different sources: the dataset “PERCEIVE: WP1: Framework for comparative analysis of the perception of Cohesion Policy and identification with the European Union at citizen level in different European countries: Survey at citizen level and data relative to regional performance of the Cohesion Policy and institutional quality” (<a href="https://doi.org/10.5281/zenodo.3346047">https://doi.org/10.5281/zenodo.3346047</a>); the dataset “PERCEIVE. WP1. Framework for comparative analysis of the perception of Cohesion Policy and identification with the European Union at citizen level in different European countries. Task1.2. Focus group with Cohesion Policy practitioners” (focus groups and other interviews) (<a href="http://amsacta.unibo.it/6215/">http://amsacta.unibo.it/6215/</a>).

PERCEIVE. WP3_ T3-1_ Communication strategies effectiveness in the context of EU Cohesion Policy - Romanian case study – Sud Est NUTS II region

This dataset contains data related to the papers: Tudor MM, Florian V, (2018) "Impactul și eficacitatea strategiilor de comunicare în contextul politicii de coeziune a Uniunii Europene. Studiu de caz - România", published in proceedings of "Economia agroalimentară și dezvoltarea rurală din perspectiva integrării europene". The dataset was built collecting data from the dataset “PERCEIVE. WP1. Framework for comparative analysis of the perception of Cohesion Policy and identification with the European Union at citizen level in different European countries. Task1.2. Focus group with Cohesion Policy practitioners” (focus groups and other interviews) (<a href="http://amsacta.unibo.it/6215/">http://amsacta.unibo.it/6215/</a>). Data used in the above-mentioned paper regarding the Section II from the Focus Group protocol and is related with Romanian PERCEIVE case-study region – Sud EST (RO22).

Matpower Limit cases v1

They are some Matpower limit loading cases considered in some references. They have been obtained as follows: the injected active and reactive power of load buses along the injected active power of generation buses have been increased in steps of 0.0001 pu until the standard NR diverged from a flat start. For instance, in the case1354pegase, the limit load is 1.3139 pu (1.3140 pu gives rise to divergence).

Matpower limit cases v2

They are some Matpower limit loading cases considered in some references. They have been obtained as follows: the injected active and reactive power of load buses along the injected active power of generation buses have been increased in steps of 0.0001 pu until the standard NR diverged from a flat start. For instance, in the case1354pegase, the limit load is 1.3139 pu (1.3140 pu gives rise to divergence).

opencc-by-4.0Jun 2022View details →

РИС. 4. ROC-кривые и плоЩадь под ROC-кривой (AUC) для раЗных моделей. А. РеЗультаты для Xeropicta derbentina. B. РеЗультаты для Brephulopsis cylindrica. Красная кривая иллюстрирует покаЗатели модели для обучаюЩего набора, бледно-голубые линии — для тестовых наборов и отдельных моделей, толстая синяя линия — обЩие покаЗатели всех моделей. in Land snails Brephulopsis cylindrica and Xeropicta derbentina (Gastropoda: Stylommatophora): case study of invasive species distribution modelling

РИС. 4. ROC-кривые и плоЩадь под ROC-кривой (AUC) для раЗных моделей. А. РеЗультаты для Xeropicta derbentina. B. РеЗультаты для Brephulopsis cylindrica. Красная кривая иллюстрирует покаЗатели модели для обучаюЩего набора, бледно-голубые линии — для тестовых наборов и отдельных моделей, толстая синяя линия — обЩие покаЗатели всех моделей.