cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/84jw497rwp.1
title: Network analysis dataset of System Dynamics models

description: A tool has been developed for the analysis of networks extracted from system dynamics models. The models developed in Vensim, Stella, and InsightMaker are converted into networks of state-variables, flows, and parameters by the developed Python program that also performs model reduction, modularity analysis and calculates the structural properties of the models and its main variables. The dataset covers the results of the analysis of nine models in sustainability science used for policy testing, prediction and simulation.
DOI: 10.17632/r3mz5x7ppt.1
title: Common Melanocytic Nevi

description: Multiphoton microscopy images of the common nevi referred to in figures
DOI: 10.17632/ykkbck8p9d.1
title: Spotting Dalmatians: Children’s ability to discover subordinate-level word meanings cross-situationally

description: Data for: Spotting Dalmatians: Children’s ability to discover subordinate-level word meanings cross-situationally
DOI: 10.17632/h2ywzbcs59.1
title: Raw data for: Dental histology of late Miocene hipparionins compared with extant <i>Equus</i>, and its implications for Equidae life history

description: Growth curves raw data and measures of daily secretion rate (DSR) and enamel extension rate (EER) are provided. First/second molars and third molars of three hipparionin species and an extant zebra were analyzed.
DOI: 10.17632/hpjtgt2847.1
title: 3D volume reconstructions of porous materials from micro-computed tomography scans and computational geometry scripts in Python 3

description: Included in this dataset are 3D volume reconstructions processed from micro-computed tomography (µCT) scans of a carbon and a polymer porous scaffold templated using bicontinuous interfacially jammed emulsion gels (bijels), a porous metal, a polymerized high internal phase emulsion (polyHIPE), and an inverse opal. Accompanying plain text files list the Cartesian coordinates (x, y, and z in columns 2, 3, and 4, respectively; units of millimeters) of branch points within the pore phase of each material. These branch points represent where lines drawn through the center of the pore phase (i.e. medial axis) branch into connecting pore features. By running the included computational geometry scripts in Python 3, the domain size distributions of the pore and solid phases, curvature of the interior surfaces, connectivity, tortuosity of the pore phase, de-noised branch point positions, and Voronoi tessellation from the de-noised branch point positions can be calculated for each material. These scripts are dependent on the PyMesh and Voro++ external libraries linked below, as well as the included p_fxn.py script.
DOI: 10.5517/ccdc.csd.cc1k6rxf
title: CCDC 1436475: Experimental Crystal Structure Determination

description: Related Article: Yi Yang, Qinghai Zhou, Junjie Cai, Teng Xue, Yingle Liu, Yan Jiang, Yumei Su, Lung Wa Chung, David A Vicic|2019|Chemical Science|10|5275|doi:10.1039/C9SC00554D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/9c6gmx66f6.1
title: sharing economic model on YouTube

description: collect data sharing economic model on YouTube
DOI: 10.5517/ccdc.csd.cc1yvk6k
title: CCDC 1812979: Experimental Crystal Structure Determination

description: Related Article: Yanqiu Yang, Zhicheng Zhang, Liang Yang, Jun Liu, Chao Xu, Shunzhong Luo, Linfeng Rao|2019|Inorg.Chem.|58|6064|doi:10.1021/acs.inorgchem.9b00319
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1zyh2h
title: CCDC 1845587: Experimental Crystal Structure Determination

description: Related Article: Jun Wang, Dan Zhou, Guang-Li Wang, Lu Lu, Ying Pan, Amita Singh, Abhinav Kumar|2019|Inorg.Chim.Acta|492|186|doi:10.1016/j.ica.2019.04.020
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/kmkj4kvb2t.1
title: Overall Survival in Mycosis Fungoides: A Systematic Review and Meta-Analysis

description: Datasets demonstrating the extraction of time-to-event data directly from published Kaplan-Meier estimator curves for various stages of mycosis fungoides. Data represents extracted data for stages IB - IV inclusive.
DOI: 10.17632/kmkj4kvb2t.2
title: Dataset for Overall Survival in Mycosis Fungoides: A Systematic Review and Meta-Analysis

description: Datasets demonstrating the extraction of time-to-event data directly from published Kaplan-Meier estimator curves for various stages of mycosis fungoides. Data represents extracted data for stages IB - IV inclusive.
DOI: 10.17632/mvkcpkx9ww.1
title: MLPA-400

description: we considered a realistic problem of multilabel AA in the realm of scientific publications by creating a publicly available dataset consisting of 400 Ma- chine Learning papers, Machine Learning Papers’ Authorship 400 (MLPA-400). To the best of our knowledge, multi-label AA of scientific publications has not received a lot of attention. It deserves more attention because automatic resolution of authorship issues in papers can have a variety of downstream applications in intellectual property managements, citation analysis, archival systems, and author disambiguation. The task is challenging: papers have many authors whose writing style can evolve or influenced by colleagues, they contain direct quotes from other works, authors’ contribution to the paper in terms of the amount of text written is unknown; the number of papers and authors is large. Considerations Many approaches to creating a suitable corpus exist. For example, papers can be chosen across domains. However, even within one domain the stylistic differences between venues are significant enough to make individual style hard to detect. A random sample of authors can be taken, but the number of multi-labeled documents would be few. Another possibility is taking the transitive closure of the set of co-authors and extracting at least k papers per author. However, creation of such a dataset for any reasonable k results in a very large transitive set. Design Using Google Scholar as a source, we created a list of top 20 authors in Machine Learning, ranked by the number of citations. We ensured a reasonable number of papers had an overlap of authors (i.e., we also included pa-pers that were jointly authored by the set of authors). For each author, 20 papers were downloaded for a total of 400 publications for the entire dataset. Each work is assigned 20 binary labels. The labels indicate which of the authors contributed to the paper’s creation. 100 papers out of 400 have more than one author from the 20 listed. The number of authors ranged from 1 to 3 and the average was 1.2925. The text was extracted from the PDF files using pdfminer (Hinyama, 2017) and pre-processed. The title, authorship information, and bibliography fields were removed from each paper to ensure the classifier abides by the rules of blind review instead of simply using author list while learning authorship. Formulas, table and figure captions were retained as they may contain valuable author specific style and topic information. The dataset is available here: URL to repo If you find this dataset useful, please cite as follows: Dainis Boumber, Yifan Zhang and A. Mukherjee. “Experiments with convolutional neural networks for multi-label authorship attribution.” Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Paris, France, 2018. European Language Resources Association (ELRA).
DOI: 10.17632/pgsrfzmc6t.1
title: Embryo morphokinetics is potentially associated with clinical outcomes of single embryo transfers in preimplantation genetic testing for aneuploidy cycles

description: Time-lapse microscopy was used to compare morphokinetic variables between expanded blastocysts derived from preimplantation genetic testing for aneuploidy cycles using high-resolution next-generation sequencing (hr-NGS). The clinical efficacy of the morphokinetic algorithm KIDScoreTM D5 was evaluated after euploid SETs.
DOI: 10.17632/szvpbvzvyc.1
title: Gas Chromatography and Mass Spectroscopy Based Detection of Lipid Profile in Jatropha Crude Oil and its Potential as Biodiesel Feedstock

description: In this research, the fatty acid composition of the extracted lipid of jatropha was studied using the gas chromatography with high resolution mass spectrometer (GC-HRMS). The properties of the triglyceride are found out by the amounts of fatty acids that are available in the molecules. The major fatty acids in jatropha crude oil were the monounsaturated (oleic-3.81%), polyunsaturated (linoleic-50%) and saturated (palmitic-35.66%) fatty acid.
DOI: 10.17632/f5yy59xpgy.1
title: Narrativas de Aprendizagem de ex-estudantes de português como língua estrangeira

description: Transcrição das entrevistas da Pesquisa Narrativa
DOI: 10.17632/hj7mkc9263.1
title: An adaptive neural network for uncertainty quantification

description: ANN for UQ
DOI: 10.17632/tntrkg27st.1
title: CARE algorithm dataset

description: This repository contains the CARE algorithm source code and the image dataset used in the following work: - Salvi et al., "Automated Segmentation of Fluorescence Microscopy Images for 3D Cell Detection in human-derived Cardiospheres", SciReports 2019 (DOI: 10.1038/s41598-019-43137-2) ABSTRACT The ‘cardiosphere’ is a 3D cluster of cardiac progenitor cells recapitulating a stem cell niche-like microenvironment with a potential for disease and regeneration modelling of the failing human myocardium. In this multicellular 3D context, it is extremely important to decrypt the spatial distribution of cell markers for dissecting the evolution of cellular phenotypes by direct quantification of fluorescent signals in confocal microscopy. In this study, we present a fully automated method, named CARE (‘CARdiosphere Evaluation’), for the segmentation of membranes and cell nuclei in human-derived cardiospheres. The proposed method is tested on twenty 3D-stacks of cardiospheres, for a total of 1160 images. Automatic results are compared with manual annotations and two open-source software designed for fluorescence microscopy. CARE performance was excellent in cardiospheres membrane segmentation and, in cell nuclei detection, the algorithm achieved the same performance as two expert operators. To the best of our knowledge, CARE is the first fully automated algorithm for segmentation inside in vitro 3D cell spheroids, including cardiospheres. The proposed approach will provide, in the future, automated quantitative analysis of markers distribution within the cardiac niche-like environment, enabling predictive associations between cell mechanical stresses and dynamic phenotypic changes.
DOI: 10.17632/wtk68y9ytp.1
title: PERFIL EMPRENDEDOR DE ALUMNOS DE ÚLTIMOS CICLOS DE LA UNALM

description: La presente base de datos corresponde a una muestra de 90 alumnos de diferentes carreras, de últimos ciclos de la UNALM. Este dataset es resultado de una autoevaluación respecto a su tipo perfil emprendedor. Los puntajes mayores en lo casilleros indican prominencia su perfil emprendedor.
DOI: 10.17632/d94z3f5yy7.1
title: Provisioning Pheromone

description: Data sheet Fig.2 shows results of observation of female-parental and larval behavior in burying beetle Nicrophorus quadripunctatus. The observation was conducted for 24 h (± 15 min) under a red light after the larvae had been placed on the carcass with a female parent. We used instantaneous scan sampling every 1 min for 30 min. Each scan recorded four types of parental and offspring behavior: (1) the offspring begged and the female parent provisioned, (2) the offspring begged but the parent did not provision, (3) the offspring did not beg and the parent did not provision, and (4) the parent was away from the larvae. Data sheet Fig.3B shows results of bioassay of the pheromonal activities of the crude extracts from provisioning and non-provisioning parents. The folded filter paper was treated with 10 μL of sample solution. As a control, the filter paper was treated with the same amount of the solvent (hexane). Data sheet Fig.3B shows results of bioassay of the dose-dependency of 2-phenoxyethanol, a standard solution containing 20 μg of authentic 2-phenoxyethanol diluted in 1 mL of hexane was prepared, and this standard solution and 10- to 1000-fold diluted hexane solutions containing it were used for sample treatments. Hexane was used for a negative control treatment, and the crude extract from provisioning females was used as a positive control treatment. Data sheet Fig.4B and Fig.4C shows results of larval growth and survival in among the following three treatments: 1) the begging treatment in which larvae were induced to beg by artificial 2-phenoxyethanol, 2) the non-begging treatment in which 2-phenoxyethanol was introduced into a bioassay device but larvae were not directly subjected to 2-phenoxyethanol, so as to not elicit begging behavior, and 3) the control treatment in which there was no pheromonal stimulus. Data sheet Table S1 shows results of behavioral observation on larvae which were induced to beg by artificial 2-phenoxyethanol (treatment 1 in Data sheet Fig.4B and Fig.4C ). At intervals of 0, 4, 8, 12, 16, 20 and 24 h (± 10 min), we observed the larval behavior for 1 min under a red light, and recorded the number of living larvae, the number of larvae that exhibited begging, and the weight of each living larva (measured to the nearest 0.1 mg).
DOI: 10.17632/dc7wytfhsm.1
title: Android permissions and APi calls runtime dataset

description: Contain 1,20,000 android apk file extracted permissions and APIc alls
DOI: 10.17632/dn3rhs4fgs.1
title: Dataset for Nuclear Acquisition

description: Analyzing the data with QCA enables us to understand what combinations of multiple conditions cause nuclear acquisition.
DOI: 10.17632/w44b65258f.1
title: Factors associated with Trochanteric Bursitis and Gluteal Tendinopathy.

description: The hypothesis of this study was that age and weakness of the Gluteus Medius are the main factors associated with trochanteric bursitis and gluteal tendinopathy. The study aims to relate the factors associated with TB and GT, evaluating BMI, age and strength of GMed muscle. The results of this study demonstrated that muscle strength (Kgf) and electrical activity (RMS-%) were similar between the group with trochanteric bursitis and gluteal tendinopathy and the control group; there was no significant difference in relation to BMI. However, in relation to the Trendelenburg test, there was a significant difference between the groups. The age variable presented as a factor associated with trochanteric bursitis and gluteal tendinopathy, being in agreement with the literature. In the present study, there was no significant relationship between BMI and Trochanteric Bursitis and Gluteal Tendinopathy, but the literature presents contradictory evidence. To date, no studies have been found that relate muscle strength (Kgf), MSR (%) and Trendelenburg test as factors associated with TB and GT. In the present study, we chose to evaluate the strength of the GM muscle in lateral decubitus, differently from authors who evaluated in dorsal decubitus and found weakness in the abductor group in gluteal tendinopathy. However, this difference in position is important because it interferes in the production of muscular strength. In this study, the Trendelenburg test was also used to evaluate it as a predictor of the associated factor for trochanteric bursitis and gluteal tendinopathy. The result showed that young adults with Trendelenburg positive had a higher prevalence for TB and GT. Based on the biomechanical analysis of the Balance of Pauwels and the concepts of classical physics on the Vector System and the application of force, we identify the non-correlation between the muscle strength test performed in lateral decubitus and the Trendelenburg test. Considering that one of the main complaints of patients is the difficulty to walk and often with falsehood and lameness, the Trendelenburg test presents as an important predictor of TB and GT. The limitations of the study are mainly due to the cross-sectional design, since it is not known if the weakness of the hip abductors, specifically GMed, is a result or cause of Greater Trochanteric Pain Syndrome, which may be an important factor associated . Another aspect turns to the relation to the time factor of disease development, since it is not evident if in the group without TB the patients will develop the disease in the future. In addition, there are methodological differences between the studies. The present study identified that the factors associated with trochanteric bursitis and gluteal tendinopathy are related to age (more frequent in young adults - 25-59 years), females and GMed muscle weakness, which was evidenced by the test of positive modified Trendelenburg
DOI: 10.17632/6dy4c7cn5f.1
title: Research of dielectric properties and electrical conductivity of LiNbO3:Zn crystals in the temperature range 310 – 900 К

description: Electrical conductivity and dielectric constant have been researched in a series of crystals LiNbO3:Zn(~ 4.0 – 9.0 mol. % ZnО in a melt) by application of constant voltage with a couple of electrodes (310 – 450К) and impedance spectroscopy (~ 600 – 900К). In order to compare results we have also researched electrical conductivity σdc of congruent LiNbO3congr and magnesium doped LiNbO3:Mg crystals. We have established that electron contribution to electrical conductivity of crystals LiNbO3:Zn and LiNbO3:Mg is greatly smaller than that of a congruent crystal LiNbO3congr. A decrease in conductivity is apparently connected with a restructure of LiNbO3 crystals at high concentrations of magnesium and zinc. Doping of crystals with Zn leads to drastic changes not only in the electron conductivity area (T &lt; 450 K), but also in a lithium ion conductivity area (Т &gt; 450 K). At this parameters of temperature dependence of lithium ion conductivity depend on both zinc concentration and crystallographic orientation of samples.
DOI: 10.25612/837.ymgmm5qg2dly
title: American Community Survey (ACS) 2015 data for Waller County, Texas, USA

description: Demographic data on education, employment, families, households, housing units, poverty level, public assistance, income, geographic mobility, transportation and travel time to work, and nativity/citizenship. From the ACS 5-year 2001-2015 estimates. Waller County (TX).
DOI: 10.6073/pasta/a731c00605bdbf4d1f360d6de6fff14e
title: Perennial species canopy cover across grazed/ungrazed fencelines in the Jornada Basin, 1986-2015

description: This ongoing data set contains percent canopy cover estimates of
  perennial plant species from transects that cross a grazed/ungrazed
  boundary fenceline of a single exclosure on the New Mexico State
  University Chihuahuan Desert Rangeland Research Center in Dona Ana
  County, New Mexico, USA. In the spring of 1982, as part of the
  establishment of the Jornada Long-Term Ecological Research site in
  southern New Mexico, a 135 ha portion of a 1500 ha, internally
  drained, watershed was exclosed from grazing by domestic livestock.
  Prior to exclosure the watershed, as well as the rest of the Jornada
  basin, had been moderately to heavily grazed for the past 100 years.
  Concurrent with grazing, the vegetation had undergone a dramatic
  change from desert grassland, with an almost continuous cover of C4
  perennial grasses, to isolated patches of the original grassland in a
  mosaic with desert shrub dominated plant communities (Buffington and
  Herbel, 1965). The exclosure lies along a northeast facing piedmont
  slope at the base of a steep isolated mountain peak, and covers a
  variety of component landforms from the foot of the mountain to the
  basin floor. This provided the opportunity to investigate the response
  of vegetation with respect to landscape characteristics as well as
  release from grazing. This summary data set consists of percent canopy
  cover of all perennial plant species from the plant line intercept
  measurements on either side of the LTER-I exclosure East and West
  boundary fence. Sampling occurs approximately every five years; it was
  last conducted in November 2015 and will take place again in 2020.
DOI: 10.5281/zenodo.2601506
title: Multi-classifier for RC bridge defects

description: Classifying concrete defects during a bridge inspection remains a subjective and laborious task. The risk of getting a false result is approximately 50% if different inspectors assess the same concrete defect. This is significant in the light of an over-ageing bridge stock, decreasing infrastructure maintenance budgets and catastrophic bridge collapses as happened in 2018 in Genoa, Italy. To support an automated inspection and an objective bridge defect classification, we propose a three-staged concrete defect classifier that can multi-classify potentially unhealthy bridge areas into their specific defect type in conformity with existing bridge inspection guidelines. Three separate deep neural pre-trained networks are fine-tuned based on multi-source dataset consisting of self-collected image samples plus several Departments of Transportation inspection databases. We show that this approach can reliably classify multiple defect types with an average mean score of 85%. Our presented multi-classifier is a contribution towards developing a mostly or fully inspection schema for a more cost effective and more objective bridge inspection.
DOI: 10.5281/zenodo.2647438
title: RIA News corpus 2001-2018

description: Files lema_year.pkl contain text corpus build from the articles published by RIA News.  Each files contains sentences from the articles of the selected year. Words are lematized. This data is used for training word2vec models.

File url_index.pkl has index of lematized words to hte URL of article containing selected word.
DOI: 10.5281/zenodo.2647439
title: RIA News corpus 2001-2018

description: Files lema_year.pkl contain text corpus build from the articles published by RIA News.  Each files contains sentences from the articles of the selected year. Words are lematized. This data is used for training word2vec models.

File url_index.pkl has index of lematized words to hte URL of article containing selected word.