cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/gd31-aw80
title: Dataset for Word Difficulty Prediction

description: Most text-simplification systems require an indicator of the complexity of the words. The prevalent approaches to word difficulty prediction are based on manual feature engineering. Using deep learning based models are largely left unexplored due to their comparatively poor performance. We have explored the use of one of such in predicting the difficulty of words. We have treated the problem as a binary classification problem. We have trained traditional machine learning models and evaluated their performance on the task. Removing dependency on frequency of previously acquired words for measuring difficulty was one of our primary aims. Then we analyzed a convolutional neural network based prediction model which operates at the character level and evaluate its efficiency compared to others.This dataset contains 40481 data instances. The various column headers are as follows:WordLengthFreq_HALLog_Freq_HALI_Mean_RTI_ZscoreI_SDObsI_Mean_Accuracy The other details of the dataset and the method to obtain the difficulty labels are present in the research publication whose link is attached.For getting open-access to the publication visit https://garain.codesPlease cite both the dataset and the conference paper if the dataset comes to any use.
DOI: 10.21227/xmb8-xs37
title: Annotated image dataset of household objects from the RoboFEI@Home team

description: Annotated image dataset of household objects from the RoboFEI@Home teamThis data set contains two sets of pictures of household objects, created by the RoboFEI@Home team to develop object detection systems for a domestic robot.The first data set was created with objects from a local supermarket. Product brands are typical from Brazil. The second data set is composed of objects from the RoboCup@Home 2018 OPL competition.The data set contains the basic resources for the creation of custom object detection systems. Users can use the provided annotated images to train their own models and validate them in a set of test images, or they can analyze the inference time of the proposed methods in the provided videos.Example videos of detection systems trained with this data set can be found in the following links:https://www.youtube.com/watch?v=Py6_qG52EYQhttps://www.youtube.com/watch?v=fXJYmJOaSxQ
DOI: 10.21227/ejea-fn13
title: SAW propagation in multi-layered tissue mimicking materials

description: Normalized, flattened axial particle displacement fields of surface acoustic wave (SAW) propagating in multi-layered agar phantoms (three two-layer agar phantom and one three-layer agar phantom) used to generate Fig. 2 in Zhou's study "A Weighted Average Phase Velocity Inversion Model for Depth-Resolved Elasticity Evaluation in Human Skin In-Vivo".
DOI: 10.21227/092a-0655
title: SAW propagation in in-vivo human skin

description: Representative, normalized and flattened axial particle displacement fields of surface acoustic wave (SAW) propagating in in-vivo human skin at different sites used to generate Fig. 5 in Zhou's study "A Weighted Average Phase Velocity Inversion Model for Depth-Resolved Elasticity Evaluation in Human Skin In-Vivo".
DOI: 10.21227/vr0w-zx86
title: test for C-MEX S-Function

description: Graph x and Y in ABS experiment
DOI: 10.5281/zenodo.4065412
title: Operon data

description: Operon data.
DOI: 10.5281/zenodo.4065411
title: Operon data

description: Operon data.
DOI: 10.5519/qd.6iai1yh1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3 records)
DOI: 10.34740/kaggle/dsv/1536436
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5517/ccdc.csd.cc253p22
title: CCDC 1999533: Experimental Crystal Structure Determination

description: Related Article: Yang-Lin Shen, Jun-Ling Jin, Yun-Peng Xie, Xing Lu|2020|Dalton Trans.|49|12574|doi:10.1039/D0DT02003F
DOI: 10.5517/ccdc.csd.cc253p33
title: CCDC 1999534: Experimental Crystal Structure Determination

description: Related Article: Yang-Lin Shen, Jun-Ling Jin, Yun-Peng Xie, Xing Lu|2020|Dalton Trans.|49|12574|doi:10.1039/D0DT02003F
DOI: 10.5517/ccdc.csd.cc253p44
title: CCDC 1999535: Experimental Crystal Structure Determination

description: Related Article: Yang-Lin Shen, Jun-Ling Jin, Yun-Peng Xie, Xing Lu|2020|Dalton Trans.|49|12574|doi:10.1039/D0DT02003F
DOI: 10.5517/ccdc.csd.cc253p55
title: CCDC 1999536: Experimental Crystal Structure Determination

description: Related Article: Yang-Lin Shen, Jun-Ling Jin, Yun-Peng Xie, Xing Lu|2020|Dalton Trans.|49|12574|doi:10.1039/D0DT02003F
DOI: 10.5517/ccdc.csd.cc253p66
title: CCDC 1999537: Experimental Crystal Structure Determination

description: Related Article: Yang-Lin Shen, Jun-Ling Jin, Yun-Peng Xie, Xing Lu|2020|Dalton Trans.|49|12574|doi:10.1039/D0DT02003F
DOI: 10.5517/ccdc.csd.cc253p77
title: CCDC 1999538: Experimental Crystal Structure Determination

description: Related Article: Yang-Lin Shen, Jun-Ling Jin, Yun-Peng Xie, Xing Lu|2020|Dalton Trans.|49|12574|doi:10.1039/D0DT02003F
DOI: 10.5517/ccdc.csd.cc253rwy
title: CCDC 1999620: Experimental Crystal Structure Determination

description: Related Article: Nabil Mroweh, Cécile Mézière, Magali Allain, Pascale Auban-Senzier, Enric Canadell, Narcis Avarvari|2020|Chemical Science|11|10078|doi:10.1039/D0SC03665J
DOI: 10.5517/ccdc.csd.cc253rxz
title: CCDC 1999621: Experimental Crystal Structure Determination

description: Related Article: Nabil Mroweh, Cécile Mézière, Magali Allain, Pascale Auban-Senzier, Enric Canadell, Narcis Avarvari|2020|Chemical Science|11|10078|doi:10.1039/D0SC03665J
DOI: 10.5517/ccdc.csd.cc253ry0
title: CCDC 1999622: Experimental Crystal Structure Determination

description: Related Article: Nabil Mroweh, Cécile Mézière, Magali Allain, Pascale Auban-Senzier, Enric Canadell, Narcis Avarvari|2020|Chemical Science|11|10078|doi:10.1039/D0SC03665J
DOI: 10.5517/ccdc.csd.cc253rz1
title: CCDC 1999623: Experimental Crystal Structure Determination

description: Related Article: Nabil Mroweh, Cécile Mézière, Magali Allain, Pascale Auban-Senzier, Enric Canadell, Narcis Avarvari|2020|Chemical Science|11|10078|doi:10.1039/D0SC03665J
DOI: 10.5517/ccdc.csd.cc253s14
title: CCDC 1999625: Experimental Crystal Structure Determination

description: Related Article: Nabil Mroweh, Cécile Mézière, Magali Allain, Pascale Auban-Senzier, Enric Canadell, Narcis Avarvari|2020|Chemical Science|11|10078|doi:10.1039/D0SC03665J
DOI: 10.5517/ccdc.csd.cc253s25
title: CCDC 1999626: Experimental Crystal Structure Determination

description: Related Article: Nabil Mroweh, Cécile Mézière, Magali Allain, Pascale Auban-Senzier, Enric Canadell, Narcis Avarvari|2020|Chemical Science|11|10078|doi:10.1039/D0SC03665J
DOI: 10.5517/ccdc.csd.cc25421g
title: CCDC 1999904: Experimental Crystal Structure Determination

description: Related Article: Dong Zhang, Zhishan Su, Qianwen He, Zhikun Wu, Yuqiao Zhou, Chenjing Pan, Xiaohua Liu, Xiaoming Feng|2020|J.Am.Chem.Soc.|142|15975|doi:10.1021/jacs.0c07066
DOI: 10.5517/ccdc.csd.cc254h61
title: CCDC 2000312: Experimental Crystal Structure Determination

description: Related Article: Katia M. Oliveira, João Honorato, Guilherme R. Gonçalves, Marcia R. Cominetti, Alzir A. Batista, Rodrigo S. Correa|2020|Dalton Trans.|49|12643|doi:10.1039/D0DT01591A
DOI: 10.5517/ccdc.csd.cc254h72
title: CCDC 2000313: Experimental Crystal Structure Determination

description: Related Article: Katia M. Oliveira, João Honorato, Guilherme R. Gonçalves, Marcia R. Cominetti, Alzir A. Batista, Rodrigo S. Correa|2020|Dalton Trans.|49|12643|doi:10.1039/D0DT01591A
DOI: 10.5517/ccdc.csd.cc254h83
title: CCDC 2000314: Experimental Crystal Structure Determination

description: Related Article: Katia M. Oliveira, João Honorato, Guilherme R. Gonçalves, Marcia R. Cominetti, Alzir A. Batista, Rodrigo S. Correa|2020|Dalton Trans.|49|12643|doi:10.1039/D0DT01591A
DOI: 10.5517/ccdc.csd.cc254ksp
title: CCDC 2000392: Experimental Crystal Structure Determination

description: Related Article: Naga Arjun Sakthivel, Masoud Shabaninezhad, Luca Sementa, Bokwon Yoon, Mauro Stener, Robert L. Whetten, Guda Ramakrishna, Alessandro Fortunelli, Uzi Landman, Amala Dass|2020|J.Am.Chem.Soc.|142|15799|doi:10.1021/jacs.0c05685
DOI: 10.5517/ccdc.csd.cc25lvsf
title: CCDC 2014125: Experimental Crystal Structure Determination

description: Related Article: Kseniya V. Arsenyeva, Irina V. Ershova, Maxim G. Chegerev, Anton V. Cherkasov, Rinat R. Aysin, Andrei V. Lalov, Georgy K. Fukin, Alexandr V. Piskunov|2020|J.Organomet.Chem.|927|121524|doi:10.1016/j.jorganchem.2020.121524
DOI: 10.6084/m9.figshare.7246985.v13
title: pretrained networks for deep learning applications

description: Pretrained networks for a variety of problems.<br>WBIR networks are named wbir* <br>put them all in a folder called "models" then see create_wbir_models.R for how to load them<br>wbir_random_vgg_3d --- 3dvgg initialized with random weights<br>wbir_resnet_vgg_weights --- resnet trained to mimic 2d pseudo vgg activations<br>wbir_vggtrue3d -- 3d egg trained to mimic 2d pseudo vgg activations<br>wbir_brain_age_weights -- weights for brain age<br>wbir_pseudo_vgg_ -- 2d vgg transferred to 3d
DOI: 10.6084/m9.figshare.13048643.v1
title: R0235_20181105a_videos

description: Rat 0235, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13048643
title: R0235_20181105a_videos

description: Rat 0235, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13048763
title: Zhang data20201005

description: A meta data base
DOI: 10.6084/m9.figshare.13048763.v1
title: Zhang data20201005

description: A meta data base
DOI: 10.5517/ccdc.csd.cc25lvtg
title: CCDC 2014126: Experimental Crystal Structure Determination

description: Related Article: Kseniya V. Arsenyeva, Irina V. Ershova, Maxim G. Chegerev, Anton V. Cherkasov, Rinat R. Aysin, Andrei V. Lalov, Georgy K. Fukin, Alexandr V. Piskunov|2020|J.Organomet.Chem.|927|121524|doi:10.1016/j.jorganchem.2020.121524
DOI: 10.5517/ccdc.csd.cc25lvvh
title: CCDC 2014127: Experimental Crystal Structure Determination

description: Related Article: Kseniya V. Arsenyeva, Irina V. Ershova, Maxim G. Chegerev, Anton V. Cherkasov, Rinat R. Aysin, Andrei V. Lalov, Georgy K. Fukin, Alexandr V. Piskunov|2020|J.Organomet.Chem.|927|121524|doi:10.1016/j.jorganchem.2020.121524
DOI: 10.5517/ccdc.csd.cc25lvwj
title: CCDC 2014128: Experimental Crystal Structure Determination

description: Related Article: Kseniya V. Arsenyeva, Irina V. Ershova, Maxim G. Chegerev, Anton V. Cherkasov, Rinat R. Aysin, Andrei V. Lalov, Georgy K. Fukin, Alexandr V. Piskunov|2020|J.Organomet.Chem.|927|121524|doi:10.1016/j.jorganchem.2020.121524
DOI: 10.5517/ccdc.csd.cc25lvxk
title: CCDC 2014129: Experimental Crystal Structure Determination

description: Related Article: Kseniya V. Arsenyeva, Irina V. Ershova, Maxim G. Chegerev, Anton V. Cherkasov, Rinat R. Aysin, Andrei V. Lalov, Georgy K. Fukin, Alexandr V. Piskunov|2020|J.Organomet.Chem.|927|121524|doi:10.1016/j.jorganchem.2020.121524
DOI: 10.5281/zenodo.4065517
title: Experimental evolution of virulence and associated traits in a Drosophila melanogaster – Wolbachia symbiosis

description: Evolutionary theory predicts that vertically transmitted symbionts are selected for low virulence, as their fitness is directly correlated to that of their host. In contrast with this prediction, the <em>Wolbachia</em> strain <em>w</em>MelPop drastically reduces its <em>Drosophila melanogaster</em> host lifespan at high rearing temperatures. It is generally assumed that this feature is maintained because the <em>D. melanogaster</em>–<em>w</em>MelPop symbiosis is usually not exposed to environmental conditions in which the symbiont is virulent. To test this hypothesis, we submitted <em>w</em>MelPop-infected <em>D. melanogaster</em> lines to 17 generations of experimental evolution at a high temperature, while enforcing late reproduction. The fly survival was measured at different time points, as well as two traits that have been proposed to be causally responsible for <em>w</em>MelPop virulence: its relative density and the mean number of octomom copies present in its genome. We hypothesised that these conditions would select for a reduced <em>w</em>MelPop virulence, a reduced <em>w</em>MelPop density, and a reduced octomom copy number. Our results indicate that density, octomom copy number and virulence are correlated. However, contrary to our expectations, we could not detect any reduction in virulence during the course of evolution. We discuss the significance of our results with respect to the evolutionary causes of <em>w</em>MelPop virulence and propose that intra-host selection could explain this conundrum.
DOI: 10.5281/zenodo.3778213
title: Experimental evolution of virulence and associated traits in a Drosophila melanogaster – Wolbachia symbiosis

description: Evolutionary theory predicts that vertically transmitted symbionts are selected for low virulence, as their fitness is directly correlated to that of their host. In contrast with this prediction, the <em>Wolbachia</em> strain <em>w</em>MelPop drastically reduces its <em>Drosophila melanogaster</em> host lifespan at high rearing temperatures. It is generally assumed that this feature is maintained because the <em>D. melanogaster</em>–<em>w</em>MelPop symbiosis is usually not exposed to environmental conditions in which the symbiont is virulent. To test this hypothesis, we submitted <em>w</em>MelPop-infected <em>D. melanogaster</em> lines to 17 generations of experimental evolution at a high temperature, while enforcing late reproduction. The fly survival was measured at different time points, as well as two traits that have been proposed to be causally responsible for <em>w</em>MelPop virulence: its relative density and the mean number of octomom copies present in its genome. We hypothesised that these conditions would select for a reduced <em>w</em>MelPop virulence, a reduced <em>w</em>MelPop density, and a reduced octomom copy number. Our results indicate that density, octomom copy number and virulence are correlated. However, contrary to our expectations, we could not detect any reduction in virulence during the course of evolution. We discuss the significance of our results with respect to the evolutionary causes of <em>w</em>MelPop virulence and propose that intra-host selection could explain this conundrum.
DOI: 10.34740/kaggle/ds/889404
title: E-coating ultrafiltration maintenance dataset
DOI: 10.6084/m9.figshare.13048640.v1
title: R0160_20170516a_videos

description: Rat 0160, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13048640
title: R0160_20170516a_videos

description: Rat 0160, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5517/ccdc.csd.cc25nxc4
title: CCDC 2016096: Experimental Crystal Structure Determination

description: Related Article: Alon Chapovetsky, Jeffrey J. Liu, Matthew Welborn, John M. Luna, Thomas Do, Ralf Haiges, Thomas F. Miller III, Smaranda C. Marinescu|2020|Inorg.Chem.|59|13709|doi:10.1021/acs.inorgchem.0c02086
DOI: 10.5517/ccdc.csd.cc25nz61
title: CCDC 2016153: Experimental Crystal Structure Determination

description: Related Article: Peng Zhao, Xiao-Xiao Yu, You Zhou, Xiao Geng, Can Wang, Chun Huang, Yan-Dong Wu, Yan-Ping Zhu, An-Xin Wu|2020|Org.Lett.|22|7103|doi:10.1021/acs.orglett.0c02415
DOI: 10.5517/ccdc.csd.cc25p3cc
title: CCDC 2016282: Experimental Crystal Structure Determination

description: Related Article: Mu-Yi Chen, Xavier Pannecoucke, Philippe Jubault, Tatiana Besset|2020|Org.Lett.|22|7556|doi:10.1021/acs.orglett.0c02750
DOI: 10.6084/m9.figshare.13042937
title: vector-CA-fire-site-2014-tomahawk

description: Contains:<br>The vector polygon used to crop the landsat 8 shapefile footprint that covers the extent of the Tomahawk fire region in July 2014.<br>Original Purpose:<br><br>These items will be linked to an open source and automated python analysis on GitHub that explores NDVI, NDWI and other indices for ...... (Ruby can take it from here).<br>Other Associated Files in this Project (or wll be):<br>1) Before and after landsat 8 shapefiles (raw and cropped) for all five 2014 fires in the region: Bernardo, Cocos, Poinsettia, Pulgas and Tomahawk.<br>2) Vector polygons to help crop the landsat 8 footprints to the specific regions of interest.<br>3) Completely open source and automated python scripts to run the analyses.<br>4) Images of the analyses.<br>
DOI: 10.6084/m9.figshare.13042937.v1
title: vector-CA-fire-site-2014-tomahawk

description: Contains:<br>The vector polygon used to crop the landsat 8 shapefile footprint that covers the extent of the Tomahawk fire region in July 2014.<br>Original Purpose:<br><br>These items will be linked to an open source and automated python analysis on GitHub that explores NDVI, NDWI and other indices for ...... (Ruby can take it from here).<br>Other Associated Files in this Project (or wll be):<br>1) Before and after landsat 8 shapefiles (raw and cropped) for all five 2014 fires in the region: Bernardo, Cocos, Poinsettia, Pulgas and Tomahawk.<br>2) Vector polygons to help crop the landsat 8 footprints to the specific regions of interest.<br>3) Completely open source and automated python scripts to run the analyses.<br>4) Images of the analyses.<br>
DOI: 10.6084/m9.figshare.13042937.v2
title: vector-CA-fire-site-2014-tomahawk

description: Contains:<br>The vector polygon used to crop the landsat 8 shapefile footprint that covers the extent of the Tomahawk fire region in July 2014.<br>Original Purpose:<br><br>These items will be linked to an open source and automated python analysis on GitHub that explores NDVI, NDWI and other indices for ...... (Ruby can take it from here).<br>Other Associated Files in this Project (or wll be):<br>1) Before and after landsat 8 shapefiles (raw and cropped) for all five 2014 fires in the region: Bernardo, Cocos, Poinsettia, Pulgas and Tomahawk.<br>2) Vector polygons to help crop the landsat 8 footprints to the specific regions of interest.<br>3) Completely open source and automated python scripts to run the analyses.<br>4) Images of the analyses.<br>
DOI: 10.6084/m9.figshare.12853849
title: Assessment of practical science in high stakes examinations: a qualitative analysis of high performing English-speaking countries

description: High stakes examinations can have profound implications for how science is taught and learned. Limitations of school science such as the ‘cookbook problem’ can potentially be addressed if high stakes assessments target learning outcomes that are innovative. For example, less mindless procedural engagement and more thoughtful consideration of practical science can potentially improve science learning. In this paper, we investigate how practical work is represented in the assessment frameworks of several countries that demonstrate above average performance in the latest PISA science assessments. The main motivation is the need to understand if there are aspects of high stakes summative assessments in these countries that can provide insight into how best to structure national examinations. Assessment documents from a set of selected countries have been analysed qualitatively guided by questions such as ‘what is the construct of practical science’ and ‘what is the format of assessment?’ The examined jurisdictions used different approaches from traditional external pen-and-paper tests to internal teacher assessments that included different formats (e.g. laboratory report). Innovative approaches to the assessment of practical skills (e.g. PISA computer-based tasks) do not seem to be represented in these high-stakes assessments. Implications for innovative assessments for high-stakes purposes are discussed.
DOI: 10.6084/m9.figshare.12853849.v1
title: Assessment of practical science in high stakes examinations: a qualitative analysis of high performing English-speaking countries

description: High stakes examinations can have profound implications for how science is taught and learned. Limitations of school science such as the ‘cookbook problem’ can potentially be addressed if high stakes assessments target learning outcomes that are innovative. For example, less mindless procedural engagement and more thoughtful consideration of practical science can potentially improve science learning. In this paper, we investigate how practical work is represented in the assessment frameworks of several countries that demonstrate above average performance in the latest PISA science assessments. The main motivation is the need to understand if there are aspects of high stakes summative assessments in these countries that can provide insight into how best to structure national examinations. Assessment documents from a set of selected countries have been analysed qualitatively guided by questions such as ‘what is the construct of practical science’ and ‘what is the format of assessment?’ The examined jurisdictions used different approaches from traditional external pen-and-paper tests to internal teacher assessments that included different formats (e.g. laboratory report). Innovative approaches to the assessment of practical skills (e.g. PISA computer-based tasks) do not seem to be represented in these high-stakes assessments. Implications for innovative assessments for high-stakes purposes are discussed.
DOI: 10.6084/m9.figshare.12363962
title: ‘95% of the time things have been okay’: the experience of undergraduate students in science disciplines with higher female representation

description: Research has shown that achieving gender equality in science goes beyond equal gender ratios in the classroom. Female students in science disciplines with relatively higher female participation rates (e.g. biology and chemistry) still experience similar gender issues as students in male-dominated science disciplines (e.g. physics and mathematics). Yet, when studying gender inequality in science, these so-called ‘gender-balanced’ disciplines are frequently ignored. This study aimed to investigate gender issues for students in biology and chemistry and explore how these experiences were impacting their persistence in the science, technology, engineering, and mathematics (STEM) educational and career pipeline. Findings showed that both male and female students commonly believed that issues of gender were restricted to the male-dominated science disciplines. However, female students still reported experiences of gender bias, commonly through the form of implicit discrimination. The importance of the affective domains was also highlighted, with science identity and belonging impacting the female student experience and their intentions to persist in the sciences. Results from this study suggest further work is needed in ‘gender-balanced’ science disciplines, specifically in the emotional domains of science identity and belonging. This research may help educators develop more effective intervention programmes for increasing women’s persistence in the STEM pipeline.