cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9tyebz8
title: Ecological modeling output for the Combined Operational Plan, Round 1 in the Greater Everglades, 2018-2019

description: Ecological models facilitate evaluation and assessment of alternative plans for restoring the Greater Everglades ecosystem. Modeling outputs were used in evaluations of alternative water control plans to be performed by the Combined Operational Plan (COP). The models used were: (1) Cape Sable Seaside Sparrow Marl Prairie Indicator in conjunction with (2) Cape Sable Seaside Sparrow Helper, (3) Florida apple snail (native) population model (EverSnail), (4) Wader Distribution Evaluation Modeling (WADEM), (5) Small-sized freshwater fish density, and (6) alligator production probability (i.e., breeding potential). These ecological models are used to examine potential impacts on the above listed flora and fauna from implementation of the COP. COP restoration plans are developed as an iterative process. These outputs are from Round 1 (of 3).
DOI: 10.5517/ccdc.csd.cc258xw8
title: CCDC 2004580: Experimental Crystal Structure Determination

description: Related Article: Yu-Chun Wang, Yen-Hsiang Huang, Hung-Chang Tsai, R. Sidick Basha, Chih-Ming Chou|2020|Org.Lett.|22|6765|doi:10.1021/acs.orglett.0c02241
DOI: 10.17632/nbzpn4fkmc.2
title: Data for: The Reinvestment Risk Premium in the Valuation of British and Russian Government Coupon Bonds

description: Data and computation for the research
DOI: 10.5066/p9907jbb
title: Ecological modeling output for the Combined Operational Plan, Round 2 in the Greater Everglades, 2018-2019
DOI: 10.5281/zenodo.4035032
title: Supplementary information to the article by van Beijnum et al. "Integrating phenotypic search and phosphoproteomic profiling of active kinases for optimization of drug mixtures for RCC treatment"

description: Supplementary information to the article "Integrating phenotypic search and phosphoproteomic profiling of active kinases for optimization of drug mixtures for RCC treatment". <strong>Judy R. van Beijnum<sup>1</sup>, Andrea Weiss<sup>2, 3</sup>, Robert H. Berndsen<sup>1,2 </sup>, Tse J. Wong<sup>1</sup>, Louise C. Reckman<sup>1</sup>, Sander R. Piersma<sup>4,5</sup>, Marloes Zoetemelk<sup>2,3</sup>, Richard de Haas<sup>1,4,5</sup>, Olivier Dormond<sup>6</sup>, Axel Bex<sup>7,8</sup>, Alexander A. Henneman<sup>4,5</sup>, Connie R. Jimenez<sup>4,5</sup>, Arjan W. Griffioen<sup>1</sup>, Patrycja Nowak-Sliwinska<sup>2,3,9</sup>*</strong> <sup>1</sup> Angiogenesis Laboratory, Department of Medical Oncology, Amsterdam UMC, Vrije Universiteit Amsterdam, Medical Oncology, Cancer Center Amsterdam, De Boelelaan 1117, Amsterdam, Netherlands; <sup>2</sup> Molecular Pharmacology Group, School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland*; <sup>3 </sup>Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland <sup>4 </sup>Department of Medical Oncology, Amsterdam UMC, Vrije Universiteit Amsterdam, Medical Oncology, Cancer Center Amsterdam, De Boelelaan 1117, Amsterdam, Netherlands <sup>5</sup> OncoProteomics Laboratory, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands <sup>6</sup> Department of Visceral surgery, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland<sup> </sup> <sup>7</sup> Royal Free London NHS Foundation Trust, Renal Cancer Centre, UCL Division of Surgical and Interventional Science, London, UK <sup>8</sup> Netherlands Cancer Institute, Amsterdam, The Netherlands <sup>9 </sup> Translational Research Centre in Oncohaematology, Geneva, Switzerland Correspondence: Patrycja.Nowak-Sliwinska@unige.ch
DOI: 10.17632/nbzpn4fkmc.3
title: Data for: The Reinvestment Risk Premium in the Valuation of British and Russian Government Coupon Bonds

description: Data and computation for the research
DOI: 10.5066/p9ozifz3
title: Ecological modeling output for the Combined Operational Plan, Round 3 in the Greater Everglades, 2018-2019
DOI: 10.17632/nbzpn4fkmc.4
title: Data for: The Reinvestment Risk Premium in the Valuation of British and Russian Government Coupon Bonds

description: Data and computation for the research
DOI: 10.25387/g3.12968096.v1
title: Supplemental Material for Watts et al., 2020

description: Supplemental Material for Watts et al., 2020<br>
DOI: 10.25387/g3.12968096
title: Supplemental Material for Watts et al., 2020

description: Supplemental Material for Watts et al., 2020<br>
DOI: 10.1184/r1/12964481
title: E-thos Project: Climate Change

description: This repository contains materials associated with a project which explores appeals to expertise by climate scientists in hearings before Congress. These materials include plain text files in UTF-7 and ASCII format of testimonies by individual scientists in hearings from 1985-2013 as well as meta-data about each of the hearings and scientific witnesses in the corpus.
DOI: 10.6084/m9.figshare.12488993
title: Supplementary Material S3

description: The expert validation to identify to major and minor flaws in the manuscript provided in order to assess critical appraisal skills.
DOI: 10.6084/m9.figshare.12488993.v2
title: Supplementary Material S3

description: The expert validation to identify to major and minor flaws in the manuscript provided in order to assess critical appraisal skills.
DOI: 10.6084/m9.figshare.12488993.v1
title: Supplementary Material S2

description: The expert validation to identify to major and minor flaws in the manuscript provided in order to assess critical appraisal skills.
DOI: 10.35111/jmrz-8y15
title: Chinese Lexical Resources for Gender, Number, Animacy

description: Introduction
<br><br>
Chinese Lexical Resources for Gender, Number, Animacy was developed by LDC and consists of gender, number, and animacy lexicons produced in support of the DARPA DEFT program. Gender, number and animacy are lexical indicators useful for named entity tagging, including the detection of person mentions in text.
<br><br>
DARPA's Deep Exploration and Filtering of Text (DEFT) program aimed to address remaining capability gaps in state-of-the-art natural language processing technologies related to inference, causal relationships and anomaly detection. LDC supported the DEFT program by collecting, creating and annotating a variety of data sources.<br><br>
Data
<br><br>
This corpus was created by extracting information from newswire texts in Chinse Gigaword Fifth Edition (LDC2011T13) in the following steps: (1) segmenting source documents into sentences; (2) converting any traditional Chinese script to simplified Chinese; (3) tagging all sentences for parts-of-speech; (4) developing queries to detect patterns; and (5) building lexicons based on frequency counts and entity types.
<br><br>
The resulting resources include dictionaries of Chinese animate nominals and names; Chinese nominals and name with gender and number predicted; and other dictionaries of Chinese nominals, names, verbs and pronouns. Each dictionary contains frequency information as well as the features in question.
<br><br>
All lexical data is presented as UTF-8 encoded plain text.<br><br>
Samples
<br><br>
Please vies this gender sample and name sample.<br><br>
Updates
<br><br>
None at this time.<br><br>
Acknowledgement
<br><br>
This material is based on research sponsored by Air Force Research Laboratory and Defense Advance Research Projects Agency under agreement number FA8750-13-2-0045. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of Air Force Research Laboratory and Defense Advanced Research Projects Agency or the U.S. Government.<br><br>
Copyright
Portions © 2000-2010 Agence France Presse, © 1991-2010 Central News Agency (Taiwan), © 2006-2010 China Military Online, © 2006-2010 Chinanews.com, © 2006-2010 Guangming Daily, © 2006-2010 Peoples Daily, © 1998, 2000-2003 SPH AsiaOne, Ltd., © 1990-2010 Xinhua News Agency, © 2003, 2005, 2007, 2009, 2011, 2020 Trustees of the University of Pennsylvania
DOI: 10.35111/7tng-wk28
title: BOLT English PropBank and Sense -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech

description: Introduction <br><br> BOLT English PropBank and Sense -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech was developed by the University of Colorado Boulder - CLEAR (Computational Language and Education Research) and consists of propbank annotation and verb sense disambiguation annotation on English discussion forum (DF), SMS/Chat and conversational telephone speech (CTS) data. <br><br> The DARPA BOLT (Broad Operational Language Translation) program developed machine translation and information retrieval for less formal genres, focusing particularly on user-generated content. LDC supported the BOLT program by collecting informal data sources -- discussion forums, text messaging and chat -- in Chinese, Egyptian Arabic and English. The collected data was translated and annotated for various tasks including word alignment, treebanking, propbanking and co-reference. Data <br><br> DF data was collected from the web using a combination of manual and automatic processes. SMS/Chat material was donated or collected via live platforms. CTS data was taken from LDC's Arabic and Chinese CALLHOME and CALLFRIEND telephone collections; the audio files were transcribed and translated into English. <br><br> Propbank annotation and verb sense disambiguation were applied to BOLT phrase structure treebank annotation, specifically, to each predicate verb in a tree. Propbank annotation provided a layer of semantic annotation over treebank and was performed on all three genres. DF and SMS/Chat data was also annotated for verb sense disambiguation using Verbnet 3.2 classes. <br><br> Annotation files are presented as UTF-8 encoded and are in either plain text or XML formats. Acknowledgements <br><br> This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. HR0011-11-C-0145. The content does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred.
DOI: 10.25919/5f63b022bdc16
title: Parkes observations for project P1032 semester 2020APRS_07

description: We propose timing observations of southern double neutron star (DNS) systems to obtain precise estimates of the component masses and thus increase the statistics of neutron star mass distribution. The improved sensitivity of the Ultra Wideband Low (UWL) receiver will provide a 3X increase in the precision of the time of arrivals (ToAs) of the pulses compared to the multibeam data. This has the potential to perform quick measurements of masses for a number of binary systems in the next 1-2 years. We will also use MeerKAT observations at crucial orbital phases to increase our chances of mass measurements. Increase in the number of measured NS masses has significant implications for understanding NS internal structure and for stellar and binary evolution physics.
DOI: 10.7910/dvn/a4bzu8/9askfb
title: contextual_patent_data_beta.tab

description: :unav
DOI: 10.7910/dvn/a4bzu8
title: PatCit (contextual data, for testing)

description: Using some contextual data from the PatCit project as a first test of R1 integration, downloaded from BigQuery on 09/17
DOI: 10.21227/ptgf-8e05
title: Mars and Moon models used for the reproducibility challenge of the Student Cluster Competition at SC19 conference

description: The dataset contains two sets of planetary models used in the Reproducibility Challenge Student Cluster Competition at the SC19 conference. During this challenge the competitors reproduced parts of the SC18 paper: "Computing planetary interior normal modes with a highly parallel polynomial filtering eigensolver." by Shi, Jia, et al. (https://doi.org/10.1109/SC.2018.00074)One set contains two Moon models as used during the preparation and the other contains six Mars models as used at the actualcompetition. The dataset can be used in the normal mode application (https://github.com/js1019/NormalModes).
DOI: 10.21227/4hr2-5211
title: Mars and Moon models used for the reproducibility challenge of the Student Cluster Competition at SC19 conference

description: The dataset contains two sets of planetary models used in the Reproducibility Challenge Student Cluster Competition at the SC19 conference. During this challenge the competitors reproduced parts of the SC18 paper: "Computing planetary interior normal modes with a highly parallel polynomial filtering eigensolver." by Shi, Jia, et al. (https://doi.org/10.1109/SC.2018.00074)One set contains two Moon models as used during the preparation and the other contains six Mars models as used at the actualcompetition. The dataset can be used in the normal mode application (https://github.com/js1019/NormalModes).
DOI: 10.6084/m9.figshare.12971081
title: Supplemental material S3

description: The process of the expert validation of fictitious manuscript to identify to major and minor flaws in order to assess critical appraisal skills.
DOI: 10.6084/m9.figshare.12971081.v1
title: Supplemental material S3

description: The process of the expert validation of fictitious manuscript to identify to major and minor flaws in order to assess critical appraisal skills.
DOI: 10.5517/ccdc.csd.cc25c20n
title: CCDC 2006630: Experimental Crystal Structure Determination

description: Related Article: Min Li, Guan-Cheng Xu, Wen-Bo Xin, Yin-Qiang Zhang|2020|Polyhedron|189|114725|doi:10.1016/j.poly.2020.114725
DOI: 10.25919/5f63b38bbddf4
title: Parkes observations for project PX501 semester 2020APRS_03

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX500) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first (PX500) will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time (relating to this proposal) will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.6084/m9.figshare.12967184
title: R0225_20180518a_videos

description: Rat 0225, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12967184.v1
title: R0225_20180518a_videos

description: Rat 0225, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12818717.v2
title: Collaborative Cross and Diversity Outbred liver proteomics manuscript

description: This repository contains:1. Starting peptide data, R scripts to process them, and the resulting quantitative protein data2. R scripts to process the genetic data for the Collaborative Cross and Diversity Outbred mice for further analysis (e.g., QTL, mediation, heritability)3. R scripts to run all analyses reported in manuscript4. Results data5. R scripts to reproduce all figures in manuscript
DOI: 10.6084/m9.figshare.12074901.v3
title: Wait and Snap: Snapping turtles prey on migratory fish at road-stream crossing culverts

description: This directory contains the files submitted to the journal for publication and open access.<br><br>This repository contains the data and R code necessary to reproduce the results presented in "Wait and snap: <br>Common snapping turtles prey on migratory fish at crossing culverts." by Alcott et al. submitted to Biology Letters for peer review.<br><br>The analyses are split into 3 parts corresponding with different analyses presented in the manuscript:<br>1. Fish positioning - data and analyses for fish cross-sectional position within culverts from underwater videography.<br>2. Stable isotopes - data and analyses for C13 stable isotope analyses of snapping turtle blood samples, river herring muscle tissue, and aquatic vegetation<br>3. Video Observations - data and analyses for quantifying the frequency of various behaviors that were reported from underwater videography<br><br>More detailed information provided within each folder.
DOI: 10.5281/zenodo.4035110
title: Quantifying monolayer cell migration sample dataset

description: The sample data to use with the Quantifying monolayer cell migration chapter of the 'Bioimage Data Analysis Workflows - Advanced Components and Methods' Neubias textbook.
DOI: 10.5517/ccdc.csd.ccxbr65
title: CCDC 844477: Experimental Crystal Structure Determination

description: Related Article: Liu Zeng Chen, Jing Wu, Kang Li, Qian Qian Wu, Rui Chen, Xin Hua Liu, Ban Feng Ruan|2020|Eur.J.Med.Chem.|206|112722|doi:10.1016/j.ejmech.2020.112722
DOI: 10.5517/ccdc.csd.cc1mhv21
title: CCDC 1504773: Experimental Crystal Structure Determination

description: Related Article: Marco Paolino, Annalisa Reale, Giulia Magrini, Vincenzo Razzano, Germano Giuliani, Alessandro Donati, Gianluca Giorgi, Filippo Samperi, Maurizio Canetti, Matteo Mauro, Francesca Villafiorita-Monteleone, Ettore Fois, Chiara Botta, Andrea Cappelli|2020|Eur.Polym.J.|137|109923|doi:10.1016/j.eurpolymj.2020.109923
DOI: 10.5517/ccdc.csd.cc1z0m1n
title: CCDC 1817841: Experimental Crystal Structure Determination

description: Related Article: Wei-Jie Gao, Hui-Juan Yu, Jian Chen, Jing Xiao, Jing-Kun Fang, Xiang-Rui Jia, Chi-Fang Peng, Guang Shao, Dai-Bin Kuang|2021|Chem.Eng.Journal|405|126434|doi:10.1016/j.cej.2020.126434
DOI: 10.5517/ccdc.csd.cc1zt3d9
title: CCDC 1841381: Experimental Crystal Structure Determination

description: Related Article: Marco Paolino, Annalisa Reale, Giulia Magrini, Vincenzo Razzano, Germano Giuliani, Alessandro Donati, Gianluca Giorgi, Filippo Samperi, Maurizio Canetti, Matteo Mauro, Francesca Villafiorita-Monteleone, Ettore Fois, Chiara Botta, Andrea Cappelli|2020|Eur.Polym.J.|137|109923|doi:10.1016/j.eurpolymj.2020.109923
DOI: 10.5517/ccdc.csd.cc2518j1
title: CCDC 1997222: Experimental Crystal Structure Determination

description: Related Article: Ryo Sumitani, Yusuke Funasako, Tomoyuki Mochida|2020|J.Mol.Liq.|318|114071|doi:10.1016/j.molliq.2020.114071
DOI: 10.5517/ccdc.csd.cc2518k2
title: CCDC 1997223: Experimental Crystal Structure Determination

description: Related Article: Ryo Sumitani, Yusuke Funasako, Tomoyuki Mochida|2020|J.Mol.Liq.|318|114071|doi:10.1016/j.molliq.2020.114071
DOI: 10.5517/ccdc.csd.cc25m5bb
title: CCDC 2014421: Experimental Crystal Structure Determination

description: Related Article: Haijun Wang, M. Graca H. Vicente, Frank R. Fronczek|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25m588
title: CCDC 2014419: Experimental Crystal Structure Determination

description: Related Article: K. Özkaraca, M. Akkurt, N.Q. Shikhaliyev, U.F. Askerova, G.T. Suleymanova, G.Z. Mammadova, D.M. Shadrack|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1251|doi:10.1107/S2056989020009202
DOI: 10.5517/ccdc.csd.cc1zgk55
title: CCDC 1831237: Experimental Crystal Structure Determination

description: Related Article: Bin Li, Shuo Li, Bin Wang, Zhao Meng, Yongan Wang, Qingbin Meng, Chunju Li|2020|iScience|23|101443|doi:10.1016/j.isci.2020.101443
DOI: 10.5517/ccdc.csd.cc218bm9
title: CCDC 1884850: Experimental Crystal Structure Determination

description: Related Article: Bin Li, Shuo Li, Bin Wang, Zhao Meng, Yongan Wang, Qingbin Meng, Chunju Li|2020|iScience|23|101443|doi:10.1016/j.isci.2020.101443
DOI: 10.5517/ccdc.csd.cc218bnb
title: CCDC 1884851: Experimental Crystal Structure Determination

description: Related Article: Bin Li, Shuo Li, Bin Wang, Zhao Meng, Yongan Wang, Qingbin Meng, Chunju Li|2020|iScience|23|101443|doi:10.1016/j.isci.2020.101443
DOI: 10.5517/ccdc.csd.cc218bpc
title: CCDC 1884852: Experimental Crystal Structure Determination

description: Related Article: Bin Li, Shuo Li, Bin Wang, Zhao Meng, Yongan Wang, Qingbin Meng, Chunju Li|2020|iScience|23|101443|doi:10.1016/j.isci.2020.101443
DOI: 10.5517/ccdc.csd.cc1zgk77
title: CCDC 1831239: Experimental Crystal Structure Determination

description: Related Article: Bin Li, Shuo Li, Bin Wang, Zhao Meng, Yongan Wang, Qingbin Meng, Chunju Li|2020|iScience|23|101443|doi:10.1016/j.isci.2020.101443
DOI: 10.5517/ccdc.csd.cc1zgk88
title: CCDC 1831240: Experimental Crystal Structure Determination

description: Related Article: Bin Li, Shuo Li, Bin Wang, Zhao Meng, Yongan Wang, Qingbin Meng, Chunju Li|2020|iScience|23|101443|doi:10.1016/j.isci.2020.101443
DOI: 10.5517/ccdc.csd.cc25gkjr
title: CCDC 2009994: Experimental Crystal Structure Determination

description: Related Article: Jana Glatz, Lise-Marie Chamoreau, Alexandrine Flambard, Jean-Francois Meunier, Azzedine Bousseksou, Rodrigue Lescouëzec|2020|Chem.Commun.|56|10950|doi:10.1039/D0CC04279J
DOI: 10.5281/zenodo.3932243
title: Dataset and Simulation Files for article "Alumina coating for dispersion management in ultra-high Q microresonators"

description: Link to arXiv submission: https://arxiv.org/abs/2009.07826 Figure 1 Data, Jupyter scripts, and comsol simulations files for parts (d,e) Data, Jupyter scripts, and simulations files for parts (f,g,h) Figure 2 Raw AFM data for use in Gwydeon software Data, Jupyter scripts, and comsol simulations files for parts (d,e) Figure 3 Raw data and Jupyter processing scripts for transmission spectrum calibration (parts - b) Frequency calibrated transmission spectrum and GVD/ Quality factor Jupyter scripts (parts d-g) Figure 4 Experimental data for parts a-g Supplementary data Raw ellipsometer data 1D COMSOL FEM solver and analytical validation (including Julia Jupyter script) Quality factor estimation based on scattering and water adsorption
DOI: 10.5281/zenodo.3932242
title: Dataset and Simulation Files for article "Alumina coating for dispersion management in ultra-high Q microresonators"

description: Link to arXiv submission: https://arxiv.org/abs/2009.07826 Figure 1 Data, Jupyter scripts, and comsol simulations files for parts (d,e) Data, Jupyter scripts, and simulations files for parts (f,g,h) Figure 2 Raw AFM data for use in Gwydeon software Data, Jupyter scripts, and comsol simulations files for parts (d,e) Figure 3 Raw data and Jupyter processing scripts for transmission spectrum calibration (parts - b) Frequency calibrated transmission spectrum and GVD/ Quality factor Jupyter scripts (parts d-g) Figure 4 Experimental data for parts a-g Supplementary data Raw ellipsometer data 1D COMSOL FEM solver and analytical validation (including Julia Jupyter script) Quality factor estimation based on scattering and water adsorption
DOI: 10.5281/zenodo.4026304
title: On how episodic sediment supply influences the evolution of channel morphology, bedload transport and channel stability in an experimental step-pool channel

description: This repository contains experimental data used in the manuscript "On how episodic sediment supply influences the evolution of channel morphology, bedload transport and channel stability in an experimental step-pool channel" submitted to <em>Water Resources Research</em> by Wang et al. - The docx file contains the information of experimental sediments and the names of the three txt files. - The three txt files contain the post-processed experimental data on hydraulics, bedload transport, bed surface characteristics, and the threshold for motion, and step information.
DOI: 10.6084/m9.figshare.12971504
title: Interviews plotting data

description: Data for plotting<br>