cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4631689
title: Data for "Casimir Interaction Between a Plane and a Sphere: Correction to the Proximity-Force Approximation at Intermediate Temperatures"

description: The data represented in figures 2 and 3 of the publication titled with "Casimir Interaction Between a Plane and a Sphere: Correction to the Proximity-Force Approximation at Intermediate Temperatures" are provided in the CSV file format. "fig2.csv" contains the data for figure 2. The data for figure 3 is separated into two files. "fig3_Tfinite.csv" contains data for the Casimir free energy depending on the value of tau which represents a certain finite temperature. "fig3_Tzero.csv" contains data for the Casimir energy at zero temperature. More information can be found in the header of the files.
DOI: 10.5281/zenodo.4621644
title: tRNS fMRI Experiment Behavioral

description: This dataset contains data collected during a multi-session fMRI-tRNS Experiment. Each file refers to raw behavioral data collected. Each .txt file contains data of 1 subject for both MRI sessions sequentially. In this file each column indicates the information it is referred to. Column1 ‘Block’: indicates block number. There are 5 blocks per day, so that 1:5 blocks refer to the first MRI session and 6:10 blocks refer to the second MRI session. Column 2 ‘Trial’: indicated the number of trials (48 per block, total of 240 trials per session), so that each row represents one trial. Column 3 ‘TrialType’: indicate the task the subject was asked to perform for that given trial. ‘Orientation’ refers to Orientation Discrimination Task, while ‘TemporalOrder’ refers to temporal orientation judgment task. Colum 4 ‘TOJLevel’: indicates whether the temporal feature of the stimuli was at individual threshold (Hard) or whether was above threshold (Easy), this last one corresponds to a catch trial for the temporal order judgment task. Colum 5 ‘TOJSide’: indicates whether the temporal feature was presented first on the Right or Left of the fixation cross. Column 6 ‘OrientLevel’: indicates whether the orientation feature of the stimulus was at individual threshold (Hard) or above threshold (Easy), this last one corresponds to catch trials for Orientation discrimination task. Column 7 ‘OrientSide’: indicates whether the orientation feature (tilted Gabor) was presented on the left or the right of fixation. Column 8 ‘Resp’: indicates the response given by the subject. ‘Diff’ indicates that the subject judged the two stimuli as different for the temporal or orientation feature (depending on the Trial Type, Colum3), while ‘Same’ indicates that the subject judged the two stimuli as equal for the temporal or orientation feature (depending on the Trial Type, Column3). Column 9 ‘Acc’: indicates whether the given response by the subject was correct (‘Correct’) or incorrect (‘Incorrect’). Column 10‘AccNum’: indicates numerically whether the given response by the subject was correct (1) or incorrect (0). Column 11 ‘MRIDay’: indicates to which fMRI session the data correspond to (‘1’ corresponds to fMRI Session1, that is pre-stimulation session; and ‘2’ corresponds to fMRI Session 2, that is the post-test session).
description: {"references": ["Cont\u00f2, F., Edwards, G., Tyler, S., Parrott, D., Grossman, E. D., & Battelli, L. (2020). Attention network modulation via tRNS correlates with attention gain. BioRxiv, 2020.09.15.298240. https://doi.org/10.1101/2020.09.15.298240"]}
DOI: 10.5281/zenodo.4621643
title: tRNS fMRI Experiment Behavioral

description: This dataset contains data collected during a multi-session fMRI-tRNS Experiment. Each file refers to raw behavioral data collected. Each .txt file contains data of 1 subject for both MRI sessions sequentially. In this file each column indicates the information it is referred to. Column1 ‘Block’: indicates block number. There are 5 blocks per day, so that 1:5 blocks refer to the first MRI session and 6:10 blocks refer to the second MRI session. Column 2 ‘Trial’: indicated the number of trials (48 per block, total of 240 trials per session), so that each row represents one trial. Column 3 ‘TrialType’: indicate the task the subject was asked to perform for that given trial. ‘Orientation’ refers to Orientation Discrimination Task, while ‘TemporalOrder’ refers to temporal orientation judgment task. Colum 4 ‘TOJLevel’: indicates whether the temporal feature of the stimuli was at individual threshold (Hard) or whether was above threshold (Easy), this last one corresponds to a catch trial for the temporal order judgment task. Colum 5 ‘TOJSide’: indicates whether the temporal feature was presented first on the Right or Left of the fixation cross. Column 6 ‘OrientLevel’: indicates whether the orientation feature of the stimulus was at individual threshold (Hard) or above threshold (Easy), this last one corresponds to catch trials for Orientation discrimination task. Column 7 ‘OrientSide’: indicates whether the orientation feature (tilted Gabor) was presented on the left or the right of fixation. Column 8 ‘Resp’: indicates the response given by the subject. ‘Diff’ indicates that the subject judged the two stimuli as different for the temporal or orientation feature (depending on the Trial Type, Colum3), while ‘Same’ indicates that the subject judged the two stimuli as equal for the temporal or orientation feature (depending on the Trial Type, Column3). Column 9 ‘Acc’: indicates whether the given response by the subject was correct (‘Correct’) or incorrect (‘Incorrect’). Column 10‘AccNum’: indicates numerically whether the given response by the subject was correct (1) or incorrect (0). Column 11 ‘MRIDay’: indicates to which fMRI session the data correspond to (‘1’ corresponds to fMRI Session1, that is pre-stimulation session; and ‘2’ corresponds to fMRI Session 2, that is the post-test session).
description: {"references": ["Cont\u00f2, F., Edwards, G., Tyler, S., Parrott, D., Grossman, E. D., & Battelli, L. (2020). Attention network modulation via tRNS correlates with attention gain. BioRxiv, 2020.09.15.298240. https://doi.org/10.1101/2020.09.15.298240"]}
DOI: 10.5517/ccdc.csd.cc22fhst
title: CCDC 1919606: Experimental Crystal Structure Determination

description: Related Article: Yongwei Chen, Xuan Zhang, Kaikai Ma, Zhijie Chen, Xingjie Wang, Julia Knapp, Selim Alayoglu, Fenfen Wang, Qibin Xia, Zhong Li, Timur Islamoglu, Omar K. Farha
|2019|ACS Appl. Nano Mater.|2|6098|doi:10.1021/acsanm.9b01534
DOI: 10.5517/ccdc.csd.cc25pv1s
title: CCDC 2016985: Experimental Crystal Structure Determination

description: Related Article: Anton D. Kovalenko, Alexander A. Pavlov, Ilya D. Ustinovich, Alena S. Kalyakina, Alexander S. Goloveshkin, Łukasz Marciniak, Leonid S. Lepnev, Anatolii S. Burlov, Ute Schepers, Stefan Bräse, Valentina V. Utochnikova|2021|Dalton Trans.|50|3786|doi:10.1039/D0DT03913F
DOI: 10.5517/ccdc.csd.cc267lvx
title: CCDC 2033099: Experimental Crystal Structure Determination

description: Related Article: Yu-Zhen Wang, Zhi-Xu Zhang, Chang-Yuan Su, Tie Zhang, Da-Wei Fu, Yi Zhang|2021|Dalton Trans.|50|3841|doi:10.1039/D0DT04415F
DOI: 10.5517/ccdc.csd.cc26kjdq
title: CCDC 2042633: Experimental Crystal Structure Determination

description: Related Article: Luciano Lattuada, Dávid Horváth, Sonia Colombo Serra, Alberto Fringuello Mingo, Paolo Minazzi, Attila Bényei, Attila Forgács, Franco Fedeli, Eliana Gianolio, Silvio Aime, Giovanni B. Giovenzana, Zsolt Baranyai|2021|Inorg.Chem.Front.|8|1500|doi:10.1039/D0QI01333A
DOI: 10.5517/ccdc.csd.cc26nnq8
title: CCDC 2045650: Experimental Crystal Structure Determination

description: Related Article: Xinyuan Ma, Sébastien G. Guillet, Min Peng, Kristof Van Hecke, Steven P. Nolan|2021|Dalton Trans.|50|3959|doi:10.1039/D1DT00030F
DOI: 10.5517/ccdc.csd.cc26nnr9
title: CCDC 2045651: Experimental Crystal Structure Determination

description: Related Article: Xinyuan Ma, Sébastien G. Guillet, Min Peng, Kristof Van Hecke, Steven P. Nolan|2021|Dalton Trans.|50|3959|doi:10.1039/D1DT00030F
DOI: 10.5517/ccdc.csd.cc26pq9y
title: CCDC 2046660: Experimental Crystal Structure Determination

description: Related Article: Claire Deville, Henrik S. Jeppesen, Vickie McKee, Nina Lock|2021|Dalton Trans.|50|3979|doi:10.1039/D0DT04190D
DOI: 10.5517/ccdc.csd.cc26pqbz
title: CCDC 2046661: Experimental Crystal Structure Determination

description: Related Article: Claire Deville, Henrik S. Jeppesen, Vickie McKee, Nina Lock|2021|Dalton Trans.|50|3979|doi:10.1039/D0DT04190D
DOI: 10.5517/ccdc.csd.cc26pqc0
title: CCDC 2046662: Experimental Crystal Structure Determination

description: Related Article: Claire Deville, Henrik S. Jeppesen, Vickie McKee, Nina Lock|2021|Dalton Trans.|50|3979|doi:10.1039/D0DT04190D
DOI: 10.5517/ccdc.csd.cc26pqd1
title: CCDC 2046663: Experimental Crystal Structure Determination

description: Related Article: Claire Deville, Henrik S. Jeppesen, Vickie McKee, Nina Lock|2021|Dalton Trans.|50|3979|doi:10.1039/D0DT04190D
DOI: 10.5517/ccdc.csd.cc26pqf2
title: CCDC 2046664: Experimental Crystal Structure Determination

description: Related Article: Claire Deville, Henrik S. Jeppesen, Vickie McKee, Nina Lock|2021|Dalton Trans.|50|3979|doi:10.1039/D0DT04190D
DOI: 10.5517/ccdc.csd.cc26msf2
title: CCDC 2044804: Experimental Crystal Structure Determination

description: Related Article: Katarzyna Choroba, Anna Maroń, Anna Świtlicka, Agata Szłapa-Kula, Mariola Siwy, Justyna Grzelak, Sebastian Maćkowski, Tomasz Pedzinski, Ewa Schab-Balcerzak, Barbara Machura|2021|Dalton Trans.|50|3943|doi:10.1039/D0DT04340K
DOI: 10.5517/ccdc.csd.cc26pztq
title: CCDC 2046924: Experimental Crystal Structure Determination

description: Related Article: Han-Wen Zheng, Yang Kang, Min Wu, Qiong-Fang Liang, Jian-Quan Zheng, Xiang-Jun Zheng, Lin-Pei Jin|2021|Dalton Trans.|50|3916|doi:10.1039/D1DT00241D
DOI: 10.5517/ccdc.csd.cc26pzvr
title: CCDC 2046925: Experimental Crystal Structure Determination

description: Related Article: Han-Wen Zheng, Yang Kang, Min Wu, Qiong-Fang Liang, Jian-Quan Zheng, Xiang-Jun Zheng, Lin-Pei Jin|2021|Dalton Trans.|50|3916|doi:10.1039/D1DT00241D
DOI: 10.5517/ccdc.csd.cc26pzws
title: CCDC 2046926: Experimental Crystal Structure Determination

description: Related Article: Han-Wen Zheng, Yang Kang, Min Wu, Qiong-Fang Liang, Jian-Quan Zheng, Xiang-Jun Zheng, Lin-Pei Jin|2021|Dalton Trans.|50|3916|doi:10.1039/D1DT00241D
DOI: 10.5517/ccdc.csd.cc26qyrn
title: CCDC 2047852: Experimental Crystal Structure Determination

description: Related Article: Kerry C. Casey, Alexander M. Brown, Jerome R. Robinson|2021|Inorg.Chem.Front.|8|1539|doi:10.1039/D0QI01438A
DOI: 10.5517/ccdc.csd.cc26qyvr
title: CCDC 2047855: Experimental Crystal Structure Determination

description: Related Article: Kerry C. Casey, Alexander M. Brown, Jerome R. Robinson|2021|Inorg.Chem.Front.|8|1539|doi:10.1039/D0QI01438A
DOI: 10.5517/ccdc.csd.cc26qyqm
title: CCDC 2047851: Experimental Crystal Structure Determination

description: Related Article: Kerry C. Casey, Alexander M. Brown, Jerome R. Robinson|2021|Inorg.Chem.Front.|8|1539|doi:10.1039/D0QI01438A
DOI: 10.5517/ccdc.csd.cc26r1wx
title: CCDC 2047949: Experimental Crystal Structure Determination

description: Related Article: Kerry C. Casey, Alexander M. Brown, Jerome R. Robinson|2021|Inorg.Chem.Front.|8|1539|doi:10.1039/D0QI01438A
DOI: 10.5517/ccdc.csd.cc26s6dm
title: CCDC 2049050: Experimental Crystal Structure Determination

description: Related Article: Rini Prakash, Anagha Haridas, K. Bakthavachalam, Thierry Roisnel, Jean-François Halet, Sundargopal Ghosh|2021|Dalton Trans.|50|4036|doi:10.1039/D0DT04362A
DOI: 10.5517/ccdc.csd.cc26sgfx
title: CCDC 2049299: Experimental Crystal Structure Determination

description: Related Article: Yang Li, Jin Yang, Jian-Fang Ma|2021|Dalton Trans.|50|3832|doi:10.1039/D0DT04252H
DOI: 10.5517/ccdc.csd.cc26w0jn
title: CCDC 2051751: Experimental Crystal Structure Determination

description: Related Article: Enrico Podda, Simon J. Coles, Peter N. Horton, Paul D. Lickiss, Okpara S. Bull, James B. Orton, Anna Pintus, David Pugh, M. Carla Aragoni, Robert P. Davies|2021|Dalton Trans.|50|3782|doi:10.1039/D1DT00114K
DOI: 10.5281/zenodo.4590265
title: Duplicate chemical questions from https://chemistry.stackexchange.com/

description: Stackexchange is also a collection of questions, some of which have been marked as duplicates by site-adminsitrators. I downloaded a data dump that contains the questions sorted by subject. I picked the chemistry subject because MEsH includes many chemistry-related concepts. There are <strong>660</strong> questions that have been marked as <strong>duplicates (class 1).</strong> I generated a further <strong>861 pairs of non-duplicates (class 2) </strong>by looking for pairs of questions that aren't marked as either duplicates or related.
DOI: 10.6084/m9.figshare.7515149.v1
title: Characterization of peanut cultivars to damage Stegasta bosquella (Chambers, 1875) (Lepidoptera: Gelechiidae)

description: ABSTRACT: We evaluated the strength of four growth habit of peanut cultivars creeping and five cultivars of erect growth habit to damage Stegasta bosquella (Chambers, 1875) (Lepidoptera: Gelechiidae) under field conditions during the rainy season, in the years 2009/2010 and 2010/2011. The cultivars used in the experiments were: IAC 147, IAC 213, IAC Caiapó and IAC Runner 886 (runner) and IAC Tatu ST, IAC 5, IAC 8112, IAC 22 e IAC 88-1 (erect). The design adopted was randomized blocks with split plot over time, and four replications. For infestation of S. bosquella , weekly evaluations were done 18 to 67 days after emergence (DAE), with caterpillars count and damage assessments. For counting the number of shoots per plant, they collected up five plants per plot from the 30, 60 and 90 DAE. Regardless of cultivating major infestations of S. bosquella occur from 53 to 67 DAE. The IAC Runner 886 cultivar has the highest emission apical shoots a desirable feature in plant defense in relation to S. bosquella .
DOI: 10.6084/m9.figshare.7515140.v1
title: Technological and organizational level of the production chain of cutting in buffaloes Maranhão state

description: ABSTRACT: The objective of this study was to establish the technological and organizational level of the production chain of cutting buffaloes in the State of Maranhão, researching the backgrounds of the producers, manufacturers and distributors and consumers in relation to aspects of production, technology, management, and acceptance of the buffaloes meat. We used the quantitative method for collection and analysis of secondary data, the method of qualitative and survey questionnaires. Analyses conducted on the basis of collected data allowed to determine some characteristics of this segment, such as quantitative buffaloes to cut, education level of farmers, size of the breeding area, division by animal category, type of operation, complementary activities of exploration, races, animal identification, breeding system, meat market, organization of production costs, usufruct of unions and cooperatives, the major problems in the creation, market expansion, comparative differences with cattle, meat consumption, and acceptance of meat consumption. We conclude that the productive chain cutting buffaloes in the State of Maranhão is in flux, which can be restructured through the contribution and commitment of all the links that make it up.
DOI: 10.6084/m9.figshare.7515134.v1
title: Prevalence and risk factors for leptospirosis and brucellosis in the canine population of the Tourist Resort of Ibiúna, State of São Paulo, Brazil

description: ABSTRACT: The aim of this survey was to determine the prevalence of leptospirosis and brucellosis due to Brucella canis and to determine the risk factors associated with positivity in dogs of the Tourist Resort of Ibiúna, State of São Paulo, Brazil. A total of 570 blood samples were collected from dogs from 4 regions of 48 districts of the county of Ibiúna during the period of September 2007 to March 2008. Serological diagnosis of leptospirosis was performed with the microscopic agglutination test (MAT), and blood culture was used for the diagnosis of brucellosis. Of the 570 dogs used 187 (32.8%; 95%CI 28.9 - 36.8) were seropositive to leptospirosis, with predominance of reactions to serovars Pyrogenes, Autumnalis and Canicola, and 6 (1.05%; 95%CI 0.4 - 2.2) were positive to brucellosis. Variable sexual activity (OR = 1.73) was identified as risk factor associated with the positivity to leptospirosis, and free access to street was considered risk factor for both leptospirosis (OR = 1.96) and brucellosis (OR = 10.85). It is concluded that leptospirosis and brucellosis are present in dogs of the Tourist Resort of Ibiúna, State of São Paulo, and sexual activity and free access to street are conditions associated with the prevalence of infections.
DOI: 10.6084/m9.figshare.7515152.v1
title: Control of potato late blight and early blight by fungicides and its effects on yield and quality of tubers

description: ABSTRACT: Late blight (Phytophthora infestans) and early blight (Alternaria solani) are among the most current and destructive diseases of potato. With the aim of evaluating the efficiency of different fungicides in the control of both diseases, two experiments were carried out in commercial potato crops (cultivars Agata and Monalisa) in Pilar do Sul, São Paulo State, Brazil, during 2008 and 2009 cropping season. Randomized block designs were used, with 4 replications and each parcel of 20 m2. Applications were carried out using coastal sprayer with spray-bar under constant pressure of 3 Bar. The application volume varied from 300 to 500 L per hectare according to the crop development. The evaluated variables for both diseases were: severity on leaves, area under disease progress curve (AUDPC), total and commercial yield, and classification of tubers. For late blight, the lower severity levels and significant increases in commercial yield and quality tubers were observed on the rows treated with fluopicolide + propamocarb, dimetomorph + ametoctradin, mandipropamid + chlorothalonil, mandipropamid, fenamidone + propamocarb, benthiavalicarb + fluazinam, followed by dimetomorph + chlorothalonil, mefenoxam + chlorothalonil e famoxadone + cymoxanil + mancozeb and, for early blight, azoxystrobin + difenoconazole, picoxystrobin, pyraclostrobin +metconazole, trifloxystrobin + tebuconazole, azoxystrobin, boscalid + pyraclostrobin, iprodione + pyrimethanil and cyprodinil.
DOI: 10.5281/zenodo.4590264
title: Duplicate chemical questions from https://chemistry.stackexchange.com/

description: Stackexchange is also a collection of questions, some of which have been marked as duplicates by site-adminsitrators. I downloaded a data dump that contains the questions sorted by subject. I picked the chemistry subject because MEsH includes many chemistry-related concepts. There are <strong>660</strong> questions that have been marked as <strong>duplicates (class 1).</strong> I generated a further <strong>861 pairs of non-duplicates (class 2) </strong>by looking for pairs of questions that aren't marked as either duplicates or related.
DOI: 10.6084/m9.figshare.7515152
title: Control of potato late blight and early blight by fungicides and its effects on yield and quality of tubers

description: ABSTRACT: Late blight (Phytophthora infestans) and early blight (Alternaria solani) are among the most current and destructive diseases of potato. With the aim of evaluating the efficiency of different fungicides in the control of both diseases, two experiments were carried out in commercial potato crops (cultivars Agata and Monalisa) in Pilar do Sul, São Paulo State, Brazil, during 2008 and 2009 cropping season. Randomized block designs were used, with 4 replications and each parcel of 20 m2. Applications were carried out using coastal sprayer with spray-bar under constant pressure of 3 Bar. The application volume varied from 300 to 500 L per hectare according to the crop development. The evaluated variables for both diseases were: severity on leaves, area under disease progress curve (AUDPC), total and commercial yield, and classification of tubers. For late blight, the lower severity levels and significant increases in commercial yield and quality tubers were observed on the rows treated with fluopicolide + propamocarb, dimetomorph + ametoctradin, mandipropamid + chlorothalonil, mandipropamid, fenamidone + propamocarb, benthiavalicarb + fluazinam, followed by dimetomorph + chlorothalonil, mefenoxam + chlorothalonil e famoxadone + cymoxanil + mancozeb and, for early blight, azoxystrobin + difenoconazole, picoxystrobin, pyraclostrobin +metconazole, trifloxystrobin + tebuconazole, azoxystrobin, boscalid + pyraclostrobin, iprodione + pyrimethanil and cyprodinil.
DOI: 10.6084/m9.figshare.7515281.v1
title: Socio-economic factors affecting the consumer provision in meat with certification of origin Belo Horizonte, Minas Gerais, Brazil

description: ABSTRACT: The present study aimed to verify the influence of socioeconomic factors in the provision of 407 consumers in supermarkets in the city of Belo Horizonte, Minas Gerais, Brazil, in purchasing beef with certification of origin and to verify the inherent characteristics of the product that help the consumer at the time of purchase, considering their prior knowledge about traceability and certification of origin. A descriptive analysis of all variables was performed and a univariate analysis was subsequently conducted by chi-square test. The variables were added in the multiple logistic regression model Generalized Estimating Equations (GEE), and for all variables in the final model (p ≤ 0.05) the risk was calculated by the adjusted odds ratio (OR) to a range of 95% confidence. All socioeconomic factors examined (gender, age, income and education) influence the willingness of consumers to purchase beef with certification of origin. The most important intrinsic attributes in decision making when buying meat were the color, softness, odor and little amount of fat, whereas the extrinsic attributes were price, quality seal and stamp of the SIF. Most of the consumers know the correct concept of traceability and believe that the greatest benefit of the traced meat is to be safer and to avoid the risk of foodborne illness; and the disadvantage is to be a more expensive product than the conventional.
DOI: 10.6084/m9.figshare.11266304
title: Immunohistochemical analysis of Ki-67 and α-SMA in odontogenic keratocyst, ameloblastoma and pericoronal follicle

description: Abstract Introduction Ameloblastomas (AM) are considered the most common odontogenic tumors, with great clinical importance linked to its locally aggressive, infiltrative, and recurrent behavior. The odontogenic keratocyst (OK) represents a peculiar cyst that also draws attention because of its aggressive behavior and high rates of local recurrence. Objective The aim of this study was to evaluate the cell proliferation index and the presence of myofibroblasts in AM and OK using Ki-67 and α-SMA antibodies, respectively. Methodology Fifteen cases of AM and 24 cases of OK were selected for immunohistochemical investigation of the proteins α-SMA and Ki-67. A group of 7 pericoronal follicles (PF) was included as control for normal odontogenic tissue. The mean percentage of positive cells was calculated for each protein. Result Kruskal-Wallis test for both markers showed that expression was higher in OK, when compared to AM and PF. Mann-Whitney test showed no statistical difference when comparing the expression of both markers between the subtypes of AM. Conclusion Elevated expression of Ki-67 and α-SMA in OK may be associated with the aggressive clinical behavior of this cyst in comparison to other development cysts. The similar expression of the markers observed among AM and PF cases, as well as among subtypes of AM, may indicate that other factors, besides proliferative potential, are associated with the aggressive behavior of AM.