cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12410210.v1
title: NM_NC_Hourly.csv

description: This is a dataset of hourly weather and acoustic emission data collected in North Carolina and New Mexico. Details of all data collection are described in Warren et al., 2013; Eppes et al. 2016; and Ching, 2018. <br>Ching, S. S., 2018, Acoustic Emission and Environmental Monitoring of Two Natural Granite Boulders: Semi-Arid vs. Temperate Environment: The University of North Carolina at Charlotte. Eppes, M. C., Magi, B., Hallet, B., Delmelle, E., Mackenzie-Helnwein, P., Warren, K., and Swami, S., 2016, Deciphering the role of solar-induced thermal stresses in rock weathering: Geological Society of America Bulletin, v. 128, no. 9-10, p. 1315-1338. Warren, K., Eppes, M.-C., Swami, S., Garbini, J., and Putkonen, J., 2013, Automated field detection of rock fracturing, microclimate, and diurnal rock temperature and strain fields: Geoscientific Instrumentation, Methods and Data Systems Discussions, v. 3, no. 2, p. 371-406.
DOI: 10.6084/m9.figshare.12937670
title: Data from "Prey:predator ratio dependence in the functional response of a freshwater amphipod

description: 1. First known for their shredding activity, freshwater amphipods also behave as active predators with consequences for prey population regulation and amphipod coexistence in the context of biological invasions.2. A way to quantify predation is to determine the average consumption rate per predator, also known as its functional response (FR).3. Although amphipods are gregarious and can display social interactions that can alter per capita consumption rates, previous studies using the FR approach to investigate amphipod predation ignored such potential mutual interference because they did not consider variations in predator density.4. We investigated the FR of <i>Echinogammarus berilloni </i>feeding on dipteran larvae with joint variations in prey and predator densities. This bivariate experimental design allowed us to estimate interference and to compare the fits of the three main classes of theoretical FR models, in which the predation rate is a function of prey density alone (prey-dependent models), of both prey and predator densities (predator-dependent models) or of the prey-to-predator ratio (ratio- dependent models).5. The Arditi–Ginzburg ratio-dependent FR model provided the best representation of the FR of E. berilloni, whose predation rate showed a decelerating rise to a horizontal asymptote as prey abundance increased.6. Ratio dependence means that mutual interference between amphipods leads to prey sharing. Mutual interference is likely to vary between amphipod species, depending on their level of aggressiveness.~~~~~~~~~~~~~~~~~~~~~~~~~~~~Non-integer values refer to partial consumption.Chaoborus larvae are quite homogeneous in size and length so it is relatively easy to visually assess partial consumption.The value of 2.75 means that the gammarid consumed entirely two larvae and the three quarters of another one.
DOI: 10.6084/m9.figshare.12937670.v1
title: Data from "Prey:predator ratio dependence in the functional response of a freshwater amphipod

description: 1. First known for their shredding activity, freshwater amphipods also behave as active predators with consequences for prey population regulation and amphipod coexistence in the context of biological invasions.2. A way to quantify predation is to determine the average consumption rate per predator, also known as its functional response (FR).3. Although amphipods are gregarious and can display social interactions that can alter per capita consumption rates, previous studies using the FR approach to investigate amphipod predation ignored such potential mutual interference because they did not consider variations in predator density.4. We investigated the FR of <i>Echinogammarus berilloni </i>feeding on dipteran larvae with joint variations in prey and predator densities. This bivariate experimental design allowed us to estimate interference and to compare the fits of the three main classes of theoretical FR models, in which the predation rate is a function of prey density alone (prey-dependent models), of both prey and predator densities (predator-dependent models) or of the prey-to-predator ratio (ratio- dependent models).5. The Arditi–Ginzburg ratio-dependent FR model provided the best representation of the FR of E. berilloni, whose predation rate showed a decelerating rise to a horizontal asymptote as prey abundance increased.6. Ratio dependence means that mutual interference between amphipods leads to prey sharing. Mutual interference is likely to vary between amphipod species, depending on their level of aggressiveness.~~~~~~~~~~~~~~~~~~~~~~~~~~~~Non-integer values refer to partial consumption.Chaoborus larvae are quite homogeneous in size and length so it is relatively easy to visually assess partial consumption.The value of 2.75 means that the gammarid consumed entirely two larvae and the three quarters of another one.
DOI: 10.17861/eeba26bd-c72e-4b11-b006-433ab51bdab0
title: Data supporting Spin-layer locking of interlayer excitons trapped in moire potentials

description: Supplementary material for Spin-layer locking of interlayer excitons trapped in moire potentials
DOI: 10.17861/40dce729-a3d5-4acd-99f8-e09c468c72b9
title: Non-intuitive rotational reorientation in collisions of NO(A 2Sigma+) with Ne from direct measurement of a four-vector correlation

description: Data underlying the figures in the linked publication.
DOI: 10.17861/27ff6d95-c967-49a0-ad2c-79334f032906
title: Data supporting Fundamental Limits to Coherent Photon Generation with Solid-State Atomlike Transitions publication
DOI: 10.17861/81a3a5c6-01e4-4736-affc-5608827826fd
title: Datasets supporting the article: "Maskless, rapid manufacturing of glass microfluidic devices using a picosecond pulsed laser"

description: These datasets were used to plot all graphs in the article "Maskless, rapid manufacturing of glass microfluidic devices using a picosecond pulsed laser" which was published in Scientific Reports on 27/12/2019.
DOI: 10.17861/16f83a5d-f868-49c9-bc8c-d728020b5b34
title: Data supporting Highly tunable quantum light from moiré trapped excitons
DOI: 10.17861/e9612d0f-38ff-4c76-a0c4-91db32a37d45
title: Research Data for "Wide and tunable spectral asymmetry between narrow and wide facet outputs in a tapered quantum-dot superluminescent diode"

description: Data files for figures included in paper. Light-Current Characteristics - Figure 1(a) Rear Over Front Facet Output Power vs Front Section Current - Figure 1(b) Front and Rear Facet Optical Spectra at 0.1 A of Rear Section Current - Figure 2 Front and Rear Facet Peak Wavelength Difference vs Front and Rear Section Current Density Difference - Figure 3(a) Front Facet Peak Wavelength vs Current Density - Figure 3(b) Rear Facet Peak Wavelength vs Current Density - Figure 3(c) QD Material Density of States - Figure 5 Comparison of Simulated and Measured Light-Current Characteristics - Figure 6 Simulated Front and Rear Facet Optical Spectra at 0.1,1.0 A of Rear,Front Section Current - Figure 7(a) Occupation probabilities close to the front facet at 0.1,1.0 A of Rear,Front Section Current - Figure 7(b) Occupation probabilities close to the rear facet at 0.1,1.0 A of Rear,Front Section Current - Figure 7(c) Net Modal Gain at 0.1,1.0 A of Rear,Front Section Current - Figure 7(d) Evolution of the number of photons propagating in the forward and backward directions at 1250 nm (green) and 1275 nm at 0.1,1.0 A of Rear,Front Section Current - Figure 7(e) Simulated Front and Rear Facet Optical Spectra at 0.1,3.5 A of Rear,Front Section Current - Figure 8(a) Occupation probabilities close to the front facet at 0.1,3.5 A of Rear,Front Section Current - Figure 8(b) Occupation probabilities close to the rear facet at 0.1,3.5 A of Rear,Front Section Current - Figure 8(c) Net Modal Gain at 0.1,3.5 A of Rear,Front Section Current - Figure 8(d) Evolution of the number of photons propagating in the forward and backward directions at 1210 nm (green) and 1240 nm at 0.1,3.5 A of Rear,Front Section Current - Figure 8(e)
DOI: 10.5281/zenodo.4022843
title: DNA methylation signatures in whole blood as predictors of breast cancer risk

description: Dataset contains normalized methylation ratios generated from RRBS sequences for the manuscript entitled "<strong>DNA methylation signatures in whole blood as predictors of breast cancer risk"</strong>.
DOI: 10.17861/8e83b912-8e7a-410f-885a-3331a5e5e889
title: Limitation of spiral microchannels for particle separation in heterogeneous mixtures: Impact of particles’ size and deformability

description: Data underpinning this publication
DOI: 10.17861/14c9a562-a73a-4806-b09c-38d2be011874
title: Data_Main_Manuscript supporting Spin–layer locking of interlayer excitons trapped in moiré potentials publication
DOI: 10.17861/1652eb00-a00e-4587-807f-8e8e59f822c9
title: Data_suppl_materials supporting Spin–layer locking of interlayer excitons trapped in moiré potentials publication
DOI: 10.5517/ccdc.csd.cc1np48r
title: CCDC 1539654: Experimental Crystal Structure Determination

description: Related Article: K. Trzcińska, M. Łaszcz, K. Kuziak, E.U. Stolarczyk|2020|J.Mol.Struct.|1225|129124|doi:10.1016/j.molstruc.2020.129124
DOI: 10.5517/ccdc.csd.cc1np49s
title: CCDC 1539655: Experimental Crystal Structure Determination

description: Related Article: K. Trzcińska, M. Łaszcz, K. Kuziak, E.U. Stolarczyk|2020|J.Mol.Struct.|1225|129124|doi:10.1016/j.molstruc.2020.129124
DOI: 10.5517/ccdc.csd.cc1np4bt
title: CCDC 1539656: Experimental Crystal Structure Determination

description: Related Article: K. Trzcińska, M. Łaszcz, K. Kuziak, E.U. Stolarczyk|2020|J.Mol.Struct.|1225|129124|doi:10.1016/j.molstruc.2020.129124
DOI: 10.5517/ccdc.csd.cc206p0y
title: CCDC 1853459: Experimental Crystal Structure Determination

description: Related Article: Bilge Pakyapan, Serdar Batıkan Kavukcu, Zarife Sibel Şahin, Hayati Türkmen|2020|J.Organomet.Chem.|925|121486|doi:10.1016/j.jorganchem.2020.121486
DOI: 10.5517/ccdc.csd.cc217mhf
title: CCDC 1884164: Experimental Crystal Structure Determination

description: Related Article: Mohammad Taher Rezaei, Hassan Keypour, Mehdi Bayat, Elham Soltani, Mahdi Jamshidi, Robert William Gable|2020|J.Mol.Struct.|1224|129119|doi:10.1016/j.molstruc.2020.129119
DOI: 10.5517/ccdc.csd.cc25ch13
title: CCDC 2007034: Experimental Crystal Structure Determination

description: Related Article: Gang lgorgchem|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25ch24
title: CCDC 2007035: Experimental Crystal Structure Determination

description: Related Article: Gang lgorgchem|2020|CSD Communication|||
DOI: 10.5281/zenodo.4022855
title: Tofu Case Study Statistical Analyses

description: This is the code and associated data that was used to generate conclusions for the following manuscript submitted for peer review: Title: Implementation of ATP and Microbial Indicator Testing for Hygiene Monitoring in a Tofu Production Facility Improves Product Quality and Hygienic Conditions of Food Contact Surfaces: A Case Study Authors: Jonathan H. Sogin(a), Gabriela Lopez Velasco(b), Burcu Yordem(b), Cari K. Lingle(b), John M. David(b), Mario Cobo(a), Randy W. Worobo(a) (a)Department of Food Science, Cornell University, Ithaca, NY, USA (b)3M Company, St. Paul, MN, USA Address correspondence to Randy W. Worobo, rww8@cornell.edu.
DOI: 10.5281/zenodo.4022827
title: Implementation of a 4Pi-SMS super-resolution microscope - Example data II

description: 4Pi-SMS image of Nup96-SNAP labelled with BG-Alexa 647 in the lower nuclear envelope of a U2OS cell in TDE-based index-matching imaging buffer
DOI: 10.5281/zenodo.4022826
title: Implementation of a 4Pi-SMS super-resolution microscope - Example data II

description: 4Pi-SMS image of Nup96-SNAP labelled with BG-Alexa 647 in the lower nuclear envelope of a U2OS cell in TDE-based index-matching imaging buffer
DOI: 10.34740/kaggle/dsv/1478189
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.12937817
title: GMKP instances.zip

description: 3000 instances of the Multiple Knapsack Problem with<br>Grouped Items.Rewards are not included, they are assumed to be the total weights.<br>
DOI: 10.21227/69jk-6394
title: Tweets of 2014 Brazilian Elections

description: This dataset was extracted from Twitter using keywords related to Dilma Roussef and Aécio Neves, that were the candidates of the second round of the 2014 presidential election in Brazil. This dataset contains texts in Portuguese and the respective classification of sentiments resulting from the techniques described in the article published in the 2018 IEEE International Conference on Data Mining Workshops - ICDMW (https://ieeexplore.ieee.org/abstract/document/8637504). The dataset has over 100,000 tweets that were collected from the Twitter database in the period between October 12, 2014, and October 28, 2014, as the 2014 presidential election in Brazil had its final results published on October 26, 2014.
DOI: 10.21227/h0n2-dw66
title: Tweets of 2014 Brazilian Elections

description: This dataset was extracted from Twitter using keywords related to Dilma Roussef and Aécio Neves, that were the candidates of the second round of the 2014 presidential election in Brazil. This dataset contains texts in Portuguese and the respective classification of sentiments resulting from the techniques described in the article published in the 2018 IEEE International Conference on Data Mining Workshops - ICDMW (https://ieeexplore.ieee.org/abstract/document/8637504). The dataset has over 100,000 tweets that were collected from the Twitter database in the period between October 12, 2014, and October 28, 2014, as the 2014 presidential election in Brazil had its final results published on October 26, 2014.
DOI: 10.25934/00005722.0
title: Available IPD datapackage for study 'An International Multi-centre Open-label 2-arm Phase III Trial of Adjuvant Bevacizumab in "Triple Negative" Breast Cancer.'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00005722.1
title: IPD datapackage for study 'An International Multi-centre Open-label 2-arm Phase III Trial of Adjuvant Bevacizumab in "Triple Negative" Breast Cancer.' and research request: 'Evaluation of Radiation Therapy in Triple Negative Breast Cancer '

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5281/zenodo.3968740
title: Result Set_Desarrollo, reuso, y resignificación de artefactos de software en Ciencia Ciudadana. ¿Reinventando la rueda?

description: String de Búsqueda y resultados analizados.
DOI: 10.5281/zenodo.3968739
title: Result Set_Desarrollo, reuso, y resignificación de artefactos de software en Ciencia Ciudadana. ¿Reinventando la rueda?

description: String de Búsqueda y resultados analizados.
DOI: 10.6084/m9.figshare.12937841
title: Data from: Functional response comparisons among freshwater amphipods: ratio-dependence and higher predation for Gammarus pulex compared to the non-natives Dikerogammarus villosus and Echinogammarus berilloni

description: The invasive Ponto–Caspian amphipod Dikerogammarus villosus strongly impairs the structure of recipient freshwater communities, mostly through predation of a wide range of invertebrates. Useful insights on the ecological impact of an invader can be provided by comparing its functional response (FR)—namely the relationship between resource use and resource availability—to that of trophic analogs from the recipient communities. We applied this method and derived the FR of D. villosus, the native Gammarus pulex, and Echinogammarus berilloni, another gammarid that is also undergoing range expansion, feeding on live dipteran larvae. We tested a range of predator densities to account for mutual interference among predators, assuming that predators do not forage alone in their natural environment. We also analysed the predators’ spatial distribution to investigate whether spatial behaviour might be at the origin of interference. For the three gammarid species, the per capita predation rate was a function of the prey-to-predator ratio and showed a decelerating rise to an asymptote. There was no difference in searching efficiency between the three species while prey handling time was significantly lower in G. pulex than in D. villosus and E. berilloni, leading to a higher food intake for the native at high prey densities. Differences in morphology and behaviour between the three gammarids might explain our results. Indeed, D. villosus tended to aggregate more than the other two gammarid species, which promotes conspecific interactions. Our findings suggest that mutual interference between conspecifics is a fundamental shaper of gammarid predation. Time spent interacting with conspecifics is likely to decrease the biotic pressure of the Killer shrimp D. villosus. From a broader perspective, in addition to higher predation risk, parasitism, habitat complexity or climatic variables, the presence of conspecifics of the predator (i.e. predator density) is another factor that has the potential to alter FR comparisons.<br>
DOI: 10.6084/m9.figshare.12937841.v1
title: Data from: Functional response comparisons among freshwater amphipods: ratio-dependence and higher predation for Gammarus pulex compared to the non-natives Dikerogammarus villosus and Echinogammarus berilloni

description: The invasive Ponto–Caspian amphipod Dikerogammarus villosus strongly impairs the structure of recipient freshwater communities, mostly through predation of a wide range of invertebrates. Useful insights on the ecological impact of an invader can be provided by comparing its functional response (FR)—namely the relationship between resource use and resource availability—to that of trophic analogs from the recipient communities. We applied this method and derived the FR of D. villosus, the native Gammarus pulex, and Echinogammarus berilloni, another gammarid that is also undergoing range expansion, feeding on live dipteran larvae. We tested a range of predator densities to account for mutual interference among predators, assuming that predators do not forage alone in their natural environment. We also analysed the predators’ spatial distribution to investigate whether spatial behaviour might be at the origin of interference. For the three gammarid species, the per capita predation rate was a function of the prey-to-predator ratio and showed a decelerating rise to an asymptote. There was no difference in searching efficiency between the three species while prey handling time was significantly lower in G. pulex than in D. villosus and E. berilloni, leading to a higher food intake for the native at high prey densities. Differences in morphology and behaviour between the three gammarids might explain our results. Indeed, D. villosus tended to aggregate more than the other two gammarid species, which promotes conspecific interactions. Our findings suggest that mutual interference between conspecifics is a fundamental shaper of gammarid predation. Time spent interacting with conspecifics is likely to decrease the biotic pressure of the Killer shrimp D. villosus. From a broader perspective, in addition to higher predation risk, parasitism, habitat complexity or climatic variables, the presence of conspecifics of the predator (i.e. predator density) is another factor that has the potential to alter FR comparisons.<br>
DOI: 10.5281/zenodo.4021651
title: Mobil İlaçlama ve Sulama Robotu Pozitif ve Negatif Örnekler

description: Mobil İlaçlama ve Sulama Robotu and Positive and Negative Samples for Viola Jones Algorithm Training
description: Synthetic Plant Objects and Houses for Viola Jones Object Detection Study
DOI: 10.5281/zenodo.4021650
title: Mobil İlaçlama ve Sulama Robotu Pozitif ve Negatif Örnekler

description: Mobil İlaçlama ve Sulama Robotu and Positive and Negative Samples for Viola Jones Algorithm Training
description: Synthetic Plant Objects and Houses for Viola Jones Object Detection Study
DOI: 10.5517/ccdc.csd.cc2559qd
title: CCDC 2001103: Experimental Crystal Structure Determination

description: Related Article: Kevin Kei Gwan Wong, Nadia Hoyas Pérez, Andrew J. P. White, James E. M. Lewis|2020|Chem.Commun.|56|10453|doi:10.1039/D0CC04780E
DOI: 10.5517/ccdc.csd.cc258jkk
title: CCDC 2004198: Experimental Crystal Structure Determination

description: Related Article: Lisa Zappe, Sophie Schönfeld, Gerald Hörner, Katrina A. Zenere, Chanel F. Leong, Cameron J. Kepert, Deanna M. D'Alessandro, Birgit Weber, Suzanne M. Neville|2020|Chem.Commun.|56|10469|doi:10.1039/D0CC03788E
DOI: 10.5517/ccdc.csd.cc25cj9d
title: CCDC 2007073: Experimental Crystal Structure Determination

description: Related Article: Sander D. de Vos, Robertus Klein Gebbink, Martin J. M. Lutz|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1pjgth
title: CCDC 1564967: Experimental Crystal Structure Determination

description: Related Article: Charles J. McMonagle, Priyanka Comar, Gary S. Nichol, David R. Allan, Jesús González, José A. Barreda-Argüeso, Fernando Rodríguez, Rafael Valiente, Gemma F. Turner, Euan K. Brechin, Stephen A. Moggach|2020|Chemical Science|11|8793|doi:10.1039/D0SC03229H
DOI: 10.5517/ccdc.csd.cc25fcdd
title: CCDC 2008843: Experimental Crystal Structure Determination

description: Related Article: Charles J. McMonagle, Priyanka Comar, Gary S. Nichol, David R. Allan, Jesús González, José A. Barreda-Argüeso, Fernando Rodríguez, Rafael Valiente, Gemma F. Turner, Euan K. Brechin, Stephen A. Moggach|2020|Chemical Science|11|8793|doi:10.1039/D0SC03229H
DOI: 10.5517/ccdc.csd.cc25g0k7
title: CCDC 2009468: Experimental Crystal Structure Determination

description: Related Article: Pierre Baillargeon, Raphaël Robidas, Claude Y. Legault, Tarik Rahem, Alexandra Paré Fouapon, Sarah-Maude Boivin|2020|Cryst.Growth Des.|20|5648|doi:10.1021/acs.cgd.0c00877
DOI: 10.5517/ccdc.csd.cc25g0l8
title: CCDC 2009469: Experimental Crystal Structure Determination

description: Related Article: Pierre Baillargeon, Raphaël Robidas, Claude Y. Legault, Tarik Rahem, Alexandra Paré Fouapon, Sarah-Maude Boivin|2020|Cryst.Growth Des.|20|5648|doi:10.1021/acs.cgd.0c00877
DOI: 10.5517/ccdc.csd.cc24yjg3
title: CCDC 1994585: Experimental Crystal Structure Determination

description: Related Article: Samiya Zaout, Salah Chafaa, Abdelkader Hellal, Ouafa Boukhemis, Latifa Khattabi, Hocine Merazig, Nadjib Chafai, Chawki Bensouici, Lamia Bendjeddou|2020|J.Mol.Struct.|1225|129121|doi:10.1016/j.molstruc.2020.129121
DOI: 10.5517/ccdc.csd.cc24yjh4
title: CCDC 1994586: Experimental Crystal Structure Determination

description: Related Article: Samiya Zaout, Salah Chafaa, Abdelkader Hellal, Ouafa Boukhemis, Latifa Khattabi, Hocine Merazig, Nadjib Chafai, Chawki Bensouici, Lamia Bendjeddou|2020|J.Mol.Struct.|1225|129121|doi:10.1016/j.molstruc.2020.129121
DOI: 10.5517/ccdc.csd.cc25hlz8
title: CCDC 2011000: Experimental Crystal Structure Determination

description: Related Article: Gaorong Wu, Xiaopan Fu, Yangyang Wang, Kezuan Deng, Lili Zhang, Tao Ma, Yafei Ji|2020|Org.Lett.|22|7003|doi:10.1021/acs.orglett.0c02552