cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7951211
title: Responses by robins to high and low complexity playbacks under noise and control conditions. from Signal complexity communicates aggressive intent during contests, but the process is disrupted by noise.

description: Measures of song complexity and aggressive intent.
DOI: 10.6084/m9.figshare.7951211.v2
title: Responses by robins to high and low complexity playbacks under noise and control conditions. from Signal complexity communicates aggressive intent during contests, but the process is disrupted by noise.

description: Measures of song complexity and aggressive intent.
DOI: 10.6084/m9.figshare.7951211.v1
title: Responses by robins to high and low complexity playbacks under noise and control conditions. from Signal complexity communicates aggressive intent during contests, but the process is disrupted by noise

description: Measures of song complexity and aggressive intent.
DOI: 10.25919/5f859a8fac25f
title: Parkes observations for project P1041 semester 2020APRS_19

description: We recently discovered five millisecond pulsars (MSPs) in the globular cluster Omega Centauri. This is the first pulsar discovery in this globular cluster. Four of these pulsars are isolated with spin periods of 4.1, 4.2, 4.6 and 6.8ms. The fifth has a spin period of 4.8ms and is in an eclipsing binary system with an orbital period of 2.1 hours. We propose to carry out a timing campaign of these new pulsars in order to study the dynamics in the core of Omega Centauri, to reveal the origin of Gamma-ray emission from the core, and to probe the ionised interstellar medium in Omega Centauri. Our proposed observations will also enable us to carry out deeper searches of pulsars in the cluster.
DOI: 10.5255/ukda-sn-852693
title: A new understanding of conformity and atrocity, experimental data 2013-2015

description: We have run a series of studies that include two (ethical) paradigms of Milgram's obedience studies. The first, which takes place online, asks participants to assign increasingly negative adjectives to increasingly positive groups of people. Using this paradigm, we have used the following manipulations: 'Peers Rebel' feedback, identification with the experimenter by gender, identification with science by participants' background, identification with science by using the 'three things' manipulation, and identification with the 'learner' by reminding participants of shared priviledge. In the second paradigm, we use virtual reality to investigate helping behaviour and stress levels of the participants in a Milgram-like environment.
DOI: 10.6084/m9.figshare.8192369
title: Sultana_Raw behavioral data_ESM from Contrasting characteristic behaviours among common laboratory mouse strains.

description: Excel spreadsheet containing data for Sociability, Novelty, Activity in terms of distance, Total number of entries into compartments, %time at the center, number of poops,Y-maze task (1 and 2),Forced swim test, Tail suspension test and number of stress calls during tail suspension.
DOI: 10.6084/m9.figshare.8192369.v2
title: Sultana_Raw behavioral data_ESM from Contrasting characteristic behaviours among common laboratory mouse strains.

description: Excel spreadsheet containing data for Sociability, Novelty, Activity in terms of distance, Total number of entries into compartments, %time at the center, number of poops,Y-maze task (1 and 2),Forced swim test, Tail suspension test and number of stress calls during tail suspension.
DOI: 10.6084/m9.figshare.8192369.v1
title: Sultana_Raw behavioral data_ESM from Contrasting characteristic behaviours among common laboratory mouse strains

description: Excel spreadsheet containing data for Sociability, Novelty, Activity in terms of distance, Total number of entries into compartments, %time at the center, number of poops,Y-maze task (1 and 2),Forced swim test, Tail suspension test and number of stress calls during tail suspension.
DOI: 10.6084/m9.figshare.13084157.v1
title: R0184_20170823a_videos

description: Rat 0184, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13084157
title: R0184_20170823a_videos

description: Rat 0184, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.17632/6f5rss4jsn
title: REFERENCE

description: test
DOI: 10.6084/m9.figshare.8282315
title: Dataset from Context learning before birth: evidence from the chick embryo.

description: The dataset supporting this article
DOI: 10.6084/m9.figshare.8282315.v2
title: Dataset from Context learning before birth: evidence from the chick embryo.

description: The dataset supporting this article
DOI: 10.6084/m9.figshare.8282315.v1
title: Dataset from Context learning before birth: evidence from the chick embryo

description: The dataset supporting this article
DOI: 10.5281/zenodo.4084936
title: car_body_TUM_utg

description: .IGES and .STP file of the modular car body design (open-source)
DOI: 10.5281/zenodo.4084935
title: car_body_TUM_utg

description: .IGES and .STP file of the modular car body design (open-source)
DOI: 10.6084/m9.figshare.13084454
title: Detection of cell-free fetal DNA in maternal plasma using two compound markers

description: This is the research data for manuscript entitled "Detection of cell-free fetal DNA in maternal plasma using two compound markers"
DOI: 10.6084/m9.figshare.13084439
title: Data-How to Fuel Public Employee’s Change-oriented Organizational Citizenship Behavior.sav

description: Raw data.<br>
DOI: 10.6084/m9.figshare.8362112
title: Modelling methods from Ecological interventions to prevent and manage zoonotic pathogen spillover.

description: Spillover of a pathogen from a wildlife reservoir into a human or livestock host requires the pathogen to overcome a hierarchical series of barriers. Interventions aimed at one or more of these barriers may be able to prevent the occurrence of spillover. Here, we demonstrate how interventions that target the ecological context in which spillover occurs (i.e. ecological interventions) can complement conventional approaches like vaccination, treatment, disinfection and chemical control. Accelerating spillover owing to environmental change requires effective, affordable, durable and scalable solutions that fully harness the complex processes involved in cross-species pathogen spillover.This article is part of the theme issue ‘Dynamic and integrative approaches to understanding pathogen spillover’.
DOI: 10.6084/m9.figshare.8362112.v2
title: Modelling methods from Ecological interventions to prevent and manage zoonotic pathogen spillover.

description: Spillover of a pathogen from a wildlife reservoir into a human or livestock host requires the pathogen to overcome a hierarchical series of barriers. Interventions aimed at one or more of these barriers may be able to prevent the occurrence of spillover. Here, we demonstrate how interventions that target the ecological context in which spillover occurs (i.e. ecological interventions) can complement conventional approaches like vaccination, treatment, disinfection and chemical control. Accelerating spillover owing to environmental change requires effective, affordable, durable and scalable solutions that fully harness the complex processes involved in cross-species pathogen spillover.This article is part of the theme issue ‘Dynamic and integrative approaches to understanding pathogen spillover’.
DOI: 10.6084/m9.figshare.8362112.v1
title: Modelling methods from Ecological interventions to prevent and manage zoonotic pathogen spillover

description: Spillover of a pathogen from a wildlife reservoir into a human or livestock host requires the pathogen to overcome a hierarchical series of barriers. Interventions aimed at one or more of these barriers may be able to prevent the occurrence of spillover. Here, we demonstrate how interventions that target the ecological context in which spillover occurs (i.e. ecological interventions) can complement conventional approaches like vaccination, treatment, disinfection and chemical control. Accelerating spillover due to environmental change requires effective, affordable, durable and scalable solutions that fully harness the complex processes involved in cross-species pathogen spillover.This article is part of the theme issue ‘Dynamic and integrative approaches to understanding pathogen spillover’.
DOI: 10.6084/m9.figshare.8883209
title: Raw data for the behavioural experiments performed from The effect of step size on straight-line orientation.

description: The file contains the raw data from the behavioural experiments conducted in this paper.
DOI: 10.6084/m9.figshare.8883209.v1
title: Raw data for the behavioural experiments performed from The effect of step size on straight-line orientation

description: The file contains the raw data from the behavioural experiments conducted in this paper.
DOI: 10.5257/iea/wep/2020
title: World Energy Prices (2020 Edition)

description: The World Energy Prices contains annual end-use energy prices for selected products and sectors for a selection of countries in the world. Complementing the OECD Energy Prices and Taxes, the world database focuses on prices for gasoline and diesel for transport; as well as electricity for households and industry.
DOI: 10.6084/m9.figshare.9037841
title: Suppl 1 from Learning from Northern clingfish (<i>Gobiesox maeandricus</i>): bioinspired suction cups attach to rough surfaces.

description: Data
DOI: 10.6084/m9.figshare.9037841.v2
title: Suppl 1 from Learning from Northern clingfish (<i>Gobiesox maeandricus</i>): bioinspired suction cups attach to rough surfaces.

description: Data
DOI: 10.6084/m9.figshare.9037841.v1
title: Suppl 1 from Learning from Northern clingfish (<i>Gobiesox maeandricus</i>): bioinspired suction cups attach to rough surfaces

description: Data
DOI: 10.21227/k8gw-xz18
title: India-specific Tweets During COVID-19 Pandemic Lockdowns (Phase 1,2,3,4)

description: To be updated soon.
DOI: 10.21227/z7f0-x512
title: India-specific Tweets During COVID-19 Pandemic Lockdowns (Phase 1,2,3,4)

description: To be updated soon.
DOI: 10.5281/zenodo.4084956
title: EMUE-RMG-3-CalibrationGasMixtures

description: Preparation of calibration gas mixtures of ammonia (NH<sub>3</sub>) in nitrogen using permeation This example describes the uncertainty evaluation of the preparation of a calibration gas mixtures of ammonia in nitrogen by using permeation. The measurand is the amount fraction ammonia. Files contained in dataset are: EMUE-RMG-Preparation of calibration gas mixtures of ammonia (NH3) in nitrogen using permeation.pdf Permeation_example.tex: LaTeX file to be compiled in order to produce EMUE-RMG-Preparation of calibration gas mixtures of ammonia (NH3) in nitrogen using permeation.pdf Ammoniak-40a.pdf: figure file Ammoniak-62C.pdf: figure file EMPIR.jpg: figure file EMUELogo-03.jpg: figure file ExcelResiduals.png: figure file Mass Piece 20g plus 100mg.xls: data file containing weighing data of the linearity assessment Mass Piece 20g: data file containing weighing data of the linearity assessment MatrixResults.png: figure file MatrixA.png: figure file MatrixShow.png: figure file MMULT.png: figure file Model3.stan: model developed in R for computing the difference between two series of observations and modelling the effect of finite resolution for the uncertainty of weighing with the balance (RStan package was used) MyReferences.bib: bibliography file Permeation data Ammonia.xls: data file containing ammonia mixture data reference.bib: bibliography file Compendium.bib: bibliography file Weight_20g.pdf: figure file Weight_20g+100mg.pdf: figure file traceplot.pdf: figure file Two_weights_rev1.txt : Model developed in R for Evaluation of the mean and standard deviation of weighing a weight using the magnetic suspension balance of the permeation system. The input data are given in: Mass Piece 20g plus 100mg.xls, Mass Piece 20g and additionally Model3.stan.
DOI: 10.5281/zenodo.4084955
title: EMUE-RMG-3-CalibrationGasMixtures

description: Preparation of calibration gas mixtures of ammonia (NH<sub>3</sub>) in nitrogen using permeation This example describes the uncertainty evaluation of the preparation of a calibration gas mixtures of ammonia in nitrogen by using permeation. The measurand is the amount fraction ammonia. Files contained in dataset are: EMUE-RMG-Preparation of calibration gas mixtures of ammonia (NH3) in nitrogen using permeation.pdf Permeation_example.tex: LaTeX file to be compiled in order to produce EMUE-RMG-Preparation of calibration gas mixtures of ammonia (NH3) in nitrogen using permeation.pdf Ammoniak-40a.pdf: figure file Ammoniak-62C.pdf: figure file EMPIR.jpg: figure file EMUELogo-03.jpg: figure file ExcelResiduals.png: figure file Mass Piece 20g plus 100mg.xls: data file containing weighing data of the linearity assessment Mass Piece 20g: data file containing weighing data of the linearity assessment MatrixResults.png: figure file MatrixA.png: figure file MatrixShow.png: figure file MMULT.png: figure file Model3.stan: model developed in R for computing the difference between two series of observations and modelling the effect of finite resolution for the uncertainty of weighing with the balance (RStan package was used) MyReferences.bib: bibliography file Permeation data Ammonia.xls: data file containing ammonia mixture data reference.bib: bibliography file Compendium.bib: bibliography file Weight_20g.pdf: figure file Weight_20g+100mg.pdf: figure file traceplot.pdf: figure file Two_weights_rev1.txt : Model developed in R for Evaluation of the mean and standard deviation of weighing a weight using the magnetic suspension balance of the permeation system. The input data are given in: Mass Piece 20g plus 100mg.xls, Mass Piece 20g and additionally Model3.stan.
DOI: 10.5281/zenodo.4084986
title: SPLReePlan Evaluation Artifacts

description: Data set containing the artifacts of the SPLReePlan Evaluation
DOI: 10.5281/zenodo.4084985
title: SPLReePlan Evaluation Artifacts

description: Data set containing the artifacts of the SPLReePlan Evaluation
DOI: 10.5281/zenodo.4084954
title: PolSentiLex: Sentiment Detection in Socio-Political Discussions on Russian Social Media

description: A Russian-language sentiment lexicon for social media discussions on political and social issues. The file contains raw markings collected with LINIS coding service https://linis-crowd.org [in Russian]. Learn more about PolSentiLex in our papers: Koltsova, O., & Alexeeva, S. (2015). Linis-crowd.org: A lexical resource for Russian sentiment analysis of social media [Linis-crowd.org: Lexichesk resurs dl’a analiza tonal’nosti sotsial’no-politicheskix tekstov]. Computational Linguis- Tics and Computantional Ontologies: Proceedings of the XVIII Joint Conference “Internet and Modern Society (IMS-2015)” [Kompyuternaya Lingvistika i Vyichis- Litelnyie Ontologii: Sbornik Nauchnyih Statey. Trudyi XVIII Ob’edinennoy Konferen- Tsii «Internet i Sovremennoe Obschestvo» (IMS-2015)], 25–34. [in Russian] URL: https://scila.hse.ru/data/2020/06/02/1603986481/koltsovaoyuetal.pdf Koltsova, O., Alexeeva, S., & Koltsov, S. (2016). An Opinion Word Lexicon and a Training Dataset for Russian Sentiment Analysis of Social Media. Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialogue 2016”, 277–287. URL: http://www.dialog-21.ru/media/3400/koltsovaoyuetal.pdf Koltsova O., Alexeeva S., Pashakhin S., Koltsov S. (2020) PolSentiLex: Sentiment Detection in Socio-Political Discussions on Russian Social Media. In: Filchenkov A., Kauttonen J., Pivovarova L. (eds) Artificial Intelligence and Natural Language. AINL 2020. Communications in Computer and Information Science, vol 1292. Springer, Cham. https://doi.org/10.1007/978-3-030-59082-6_1
DOI: 10.5281/zenodo.4084953
title: PolSentiLex: Sentiment Detection in Socio-Political Discussions on Russian Social Media

description: A Russian-language sentiment lexicon for social media discussions on political and social issues. The file contains raw markings collected with LINIS coding service https://linis-crowd.org [in Russian]. Learn more about PolSentiLex in our papers: Koltsova, O., & Alexeeva, S. (2015). Linis-crowd.org: A lexical resource for Russian sentiment analysis of social media [Linis-crowd.org: Lexichesk resurs dl’a analiza tonal’nosti sotsial’no-politicheskix tekstov]. Computational Linguis- Tics and Computantional Ontologies: Proceedings of the XVIII Joint Conference “Internet and Modern Society (IMS-2015)” [Kompyuternaya Lingvistika i Vyichis- Litelnyie Ontologii: Sbornik Nauchnyih Statey. Trudyi XVIII Ob’edinennoy Konferen- Tsii «Internet i Sovremennoe Obschestvo» (IMS-2015)], 25–34. [in Russian] URL: https://scila.hse.ru/data/2020/06/02/1603986481/koltsovaoyuetal.pdf Koltsova, O., Alexeeva, S., & Koltsov, S. (2016). An Opinion Word Lexicon and a Training Dataset for Russian Sentiment Analysis of Social Media. Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialogue 2016”, 277–287. URL: http://www.dialog-21.ru/media/3400/koltsovaoyuetal.pdf Koltsova O., Alexeeva S., Pashakhin S., Koltsov S. (2020) PolSentiLex: Sentiment Detection in Socio-Political Discussions on Russian Social Media. In: Filchenkov A., Kauttonen J., Pivovarova L. (eds) Artificial Intelligence and Natural Language. AINL 2020. Communications in Computer and Information Science, vol 1292. Springer, Cham. https://doi.org/10.1007/978-3-030-59082-6_1
DOI: 10.25387/g3.12606437
title: Supplemental Material for Jefferies et al., 2020

description: Figure S1 shows a validation of Sce knockdown.Figure S2 shows the peripodial driver expression patterns.Figure S3 shows normal JNK activation and Fra expression in <i>Sce.IR</i> discs.Figure S4 shows the <i>Sce.IR </i>derepression loci.Supp_Data_File_1.xlsx shows gene lists arising from a Targeted DamID RNApol2 expression analysis of third instar wing discs, with and without Sex Combs Extra RNAi.
DOI: 10.25387/g3.12606437.v1
title: Supplemental Material for Jefferies et al., 2020

description: Figure S1 shows a validation of Sce knockdown.Figure S2 shows the peripodial driver expression patterns.Figure S3 shows normal JNK activation and Fra expression in <i>Sce.IR</i> discs.Figure S4 shows the <i>Sce.IR </i>derepression loci.Supp_Data_File_1.xlsx shows gene lists arising from a Targeted DamID RNApol2 expression analysis of third instar wing discs, with and without Sex Combs Extra RNAi.
DOI: 10.21227/p1jp-2m84
title: Abilify Oral user reviews

description: The dataset provides Abilify Oral user reviews and ratings for drug’s satisfaction, effectiveness, and ease of use on different age groups.
DOI: 10.21227/rqjw-n553
title: Abilify Oral user reviews

description: The dataset provides Abilify Oral user reviews and ratings for drug’s satisfaction, effectiveness, and ease of use on different age groups.
DOI: 10.5287/bodleian:ke7ko752d
title: 'Hangry’ Drosophila: food deprivation increases male aggression - data
DOI: 10.25375/uct.11302313
title: End Of Day BRIC Financial Market Data 2005-2015

description: EOD data in CSV files for constituents of BRICs equity markets. The data includes key index constituents for: Russia, China, Brazil, India and South Africa over the period 2005-2015.<br> South Africa China India Brasil Russia Johannesburg Shanghai Bombay Bovespa Moscow JTOPI SSE50 BSESN BVSP IRTS <br><br><br>The data is provided in two spread-sheets, a RAW relational data set with a pivot table, and the processed time-series data in sheets for each market. <br><br>1. RAW relational: BRICS-Combined-EOD-2005-2015.xlsx2. Processed time-series: BRICs-EOD-Compact-2005-2015.xlsx<br>The data was prepared from legacy TRTH data files. The data is not up-to-date. The data has potential data errors. Hence the data is fit for teaching and learning but not for commercial purposes.
DOI: 10.25375/uct.11302313.v1
title: End Of Day BRIC Financial Market Data 2005-2015

description: EOD data in CSV files for constituents of BRICs equity markets. The data includes key index constituents for: Russia, China, Brazil, India and South Africa over the period 2005-2015.<br> South Africa China India Brasil Russia Johannesburg Shanghai Bombay Bovespa Moscow JTOPI SSE50 BSESN BVSP IRTS <br><br><br>The data is provided in two spread-sheets, a RAW relational data set with a pivot table, and the processed time-series data in sheets for each market. <br><br>1. RAW relational: BRICS-Combined-EOD-2005-2015.xlsx2. Processed time-series: BRICs-EOD-Compact-2005-2015.xlsx<br>The data was prepared from legacy TRTH data files. The data is not up-to-date. The data has potential data errors. Hence the data is fit for teaching and learning but not for commercial purposes.
DOI: 10.6084/m9.figshare.12905984
title: Tahr_Genetic_data.zip

description: The "Tahr_Genetic_data.zip" archive contains the genotypes files for the control region sequencing, the microsatellites and the ddRAD analysis as well as the script for the PCA analysis.
DOI: 10.6084/m9.figshare.12905984.v1
title: Tahr_Genetic_data.zip

description: The "Tahr_Genetic_data.zip" archive contains the genotypes files for the control region sequencing, the microsatellites and the ddRAD analysis as well as the script for the PCA analysis.
DOI: 10.6084/m9.figshare.12896975
title: Tahr_Landscape_data.zip

description: The "Tahr_Landscape_data.zip" archive contains the GIS files as well as the landscape resistance values and the camera trap data.
DOI: 10.6084/m9.figshare.12896975.v1
title: Tahr_Landscape_data.zip

description: The "Tahr_Landscape_data.zip" archive contains the GIS files as well as the landscape resistance values and the camera trap data.
DOI: 10.5517/ccdc.csd.cc2491fy
title: CCDC 1974899: Experimental Crystal Structure Determination

description: Related Article: Chun Ma, Feng-Tao Sheng, Hai-Qing Wang, Shuang Deng, Yu-Chen Zhang, Yinchun Jiao, Wei Tan, Feng Shi|2020|J.Am.Chem.Soc.|142|15686|doi:10.1021/jacs.0c00208
DOI: 10.5517/ccdc.csd.cc2491gz
title: CCDC 1974900: Experimental Crystal Structure Determination

description: Related Article: Chun Ma, Feng-Tao Sheng, Hai-Qing Wang, Shuang Deng, Yu-Chen Zhang, Yinchun Jiao, Wei Tan, Feng Shi|2020|J.Am.Chem.Soc.|142|15686|doi:10.1021/jacs.0c00208
DOI: 10.5517/ccdc.csd.cc24xmg5
title: CCDC 1993717: Experimental Crystal Structure Determination

description: Related Article: Kirandeep, Sushila, Aashima Sharma, Subhash Chandra Sahoo, Girijesh Kumar, Surinder Kumar Mehta, Ramesh Kataria|2021|J.Mol.Struct.|1226|129327|doi:10.1016/j.molstruc.2020.129327
DOI: 10.5517/ccdc.csd.cc24xmh6
title: CCDC 1993718: Experimental Crystal Structure Determination

description: Related Article: Kirandeep, Sushila, Aashima Sharma, Subhash Chandra Sahoo, Girijesh Kumar, Surinder Kumar Mehta, Ramesh Kataria|2021|J.Mol.Struct.|1226|129327|doi:10.1016/j.molstruc.2020.129327
DOI: 10.5517/ccdc.csd.cc25747t
title: CCDC 2002855: Experimental Crystal Structure Determination

description: Related Article: Qinglong Zhang, Dongfang Dong, Weiwei Zi|2020|J.Am.Chem.Soc.|142|15860|doi:10.1021/jacs.0c05976
DOI: 10.6084/m9.figshare.9896303
title: List of Discourse Markers from Information overload in group communication: from conversation to cacophony in the Twitch chat.

description: List of keywords used to compute the relative frequency of discourse markers.
DOI: 10.6084/m9.figshare.9896303.v2
title: List of Discourse Markers from Information overload in group communication: from conversation to cacophony in the Twitch chat.

description: List of keywords used to compute the relative frequency of discourse markers.
DOI: 10.6084/m9.figshare.9896303.v1
title: List of Discourse Markers from Information overload in group communication: from conversation to cacophony in the Twitch chat

description: List of keywords used to compute the relative frequency of discourse markers.