cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7878523
title: MUSES Fractional Vegetation Coverage (FVC) Monthly Global 0.05º Geographic Grid Since 1981

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 0.05º spatial resolution and monthly temporal resolution. The MUSES FVC product is provided on Geographic grid and spans from 1981 to 2018 (continuously updated). It was generated from the MUSES LAI product at 0.05º resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. <strong>Dataset Characteristics:</strong> Spatial Coverage: 180º W – 180º E, 90º S – 90º N; Temporal Coverage: 1981 – 2018; Spatial Resolution: 0.05º (approximately 5 km); Temporal Resolution: 1 month; Projection: Geographic; Data Format: HDF; Scale: 0.004; Valid Range: 0 – 250. <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5517/ccdc.csd.cc2c5py6
title: CCDC 2180228: Experimental Crystal Structure Determination

description: Related Article: Min Liu, Chunwei Shen, Ting Tang, Chenhong Pan, Mingrui Liu, Xingxian Zhang|2023|Org.Lett.|25|2637|doi:10.1021/acs.orglett.3c00680
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/5557149
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.21227/k4am-mm19
title: data for tracking and position mechanism

description: The data of experiment analysis related to  ''tracking and position mechanism''
DOI: 10.5281/zenodo.7878805
title: CONJUNTO DA PESQUISA A PRODUÇÃO CIENTÍFICA BRASILEIRA SOBRE A HISTÓRIA DA EDUCAÇÃO EM CIRCULAÇÃO INTERNACIONAL (2008-2022)

description: Trata-se do conjunto de dados empíricos retornados pela base de dados Web os Science em 08 de agosto de 2023 e analisados na pesquisa "A produção científica brasileira sobre História da Educação em Circulação Internacional no período 2008 a 2022.
DOI: 10.5281/zenodo.7878804
title: CONJUNTO DA PESQUISA A PRODUÇÃO CIENTÍFICA BRASILEIRA SOBRE A HISTÓRIA DA EDUCAÇÃO EM CIRCULAÇÃO INTERNACIONAL (2008-2022)

description: Trata-se do conjunto de dados empíricos retornados pela base de dados Web os Science em 08 de agosto de 2023 e analisados na pesquisa "A produção científica brasileira sobre História da Educação em Circulação Internacional no período 2008 a 2022.
DOI: 10.5281/zenodo.7684084
title: Dataset from the paper "Eccentric black hole mergers via three-body interactions in young, globular and nuclear star clusters"

description: This repository contains several data from the paper "Eccentric black hole mergers via three-body interactions in young, globular and nuclear star clusters". <strong>BBH_mergers_cat_*.dat</strong> contains the data for the BBH merger population produced by the three-body simulations. These data can be used to reproduce figures 4,5, and 8 of the paper. The file is organized in columns as: ID of the simulation. outcome of the simulation (12, merger triggered by a flyby event, 13 and 23 merger triggered after an exchange event in which the secondary (primary) BH is replaced by the intruder, 123 second generation BBH merger. mass of the primary BH in solar masses mass of the secondary BH in solar masses Chirp mass of the system in solar masses coalescence time since the beginning of the simulation in year (note that all the simulation with tcoal&lt;1e5 yr have merged during the direct N-body simulation, while all the mergers that take place after this value are evolved with the equations by Peters 1964) eccentricity of the binary at 10 Hz in the detector frame tilt angle in radiant, defined as the angle between the orbital plane of the initial binary at the beginning of the simulation and the orbital plane of the final binary at the end of the simulation. The files named <strong>data_*.txt</strong> contains the masses, the position and the velocities at each timestep for the three simulations showed in fig.1 in the paper. The data are referred to the center-of-mass of the three-body system. The file is organized as follows: The first line of the file reports the masses in solar masses of the three BHs. Column 0 reports the time in yr Colum 1-3 report the x,y,z position for the m1 BH in parsec Colum 4-6 report the x,y,z position for the m2 BH in parsec Colum 7-9 report the x,y,z position for the m3 BH in parsec Colum 10-12 report the x,y,z components of the velocities of the m1 BH in km/s Colum 13-15 report the x,y,z components of the velocities of the m1 BH in km/s Colum 16-18 report the x,y,z components of the velocities of the m1 BH in km/s Finally, <strong>outcomes_*.dat</strong> contains two columns: Column 0 reports the ID of the simulation Column 1 reports the outcome of the simulation as: 12 flyby (or merger after a flyby), 13 and 23 exchange (or merger after an exchange) in which the secondary (primary) BH is replaced by the intruder, 0 in the system is ionized in three single BHs, 3 if the system is still interacting at 1Myr, i.e. when we stop our simulation. This file might be useful to train a machine-lerning classificator, and can be used to reproduce Fig. 2 of the paper. <strong>Contacts:</strong> Marco Dall'Amico marco.dallamico@phd.studenti.unipd.it marco.dallamico@pd.infn.it
DOI: 10.5281/zenodo.7684085
title: Dataset from the paper "Eccentric black hole mergers via three-body interactions in young, globular and nuclear star clusters"

description: This repository contains several data from the paper "Eccentric black hole mergers via three-body interactions in young, globular and nuclear star clusters". <strong>BBH_mergers_cat_*.dat</strong> contains the data for the BBH merger population produced by the three-body simulations. These data can be used to reproduce figures 4,5, and 8 of the paper. The file is organized in columns as: ID of the simulation. outcome of the simulation (12, merger triggered by a flyby event, 13 and 23 merger triggered after an exchange event in which the secondary (primary) BH is replaced by the intruder, 123 second generation BBH merger. mass of the primary BH in solar masses mass of the secondary BH in solar masses Chirp mass of the system in solar masses coalescence time since the beginning of the simulation in year (note that all the simulation with tcoal&lt;1e5 yr have merged during the direct N-body simulation, while all the mergers that take place after this value are evolved with the equations by Peters 1964) eccentricity of the binary at 10 Hz in the detector frame tilt angle in radiant, defined as the angle between the orbital plane of the initial binary at the beginning of the simulation and the orbital plane of the final binary at the end of the simulation. The files named <strong>data_*.txt</strong> contains the masses, the position and the velocities at each timestep for the three simulations showed in fig.1 in the paper. The data are referred to the center-of-mass of the three-body system. The file is organized as follows: The first line of the file reports the masses in solar masses of the three BHs. Column 0 reports the time in yr Colum 1-3 report the x,y,z position for the m1 BH in parsec Colum 4-6 report the x,y,z position for the m2 BH in parsec Colum 7-9 report the x,y,z position for the m3 BH in parsec Colum 10-12 report the x,y,z components of the velocities of the m1 BH in km/s Colum 13-15 report the x,y,z components of the velocities of the m1 BH in km/s Colum 16-18 report the x,y,z components of the velocities of the m1 BH in km/s Finally, <strong>outcomes_*.dat</strong> contains two columns: Column 0 reports the ID of the simulation Column 1 reports the outcome of the simulation as: 12 flyby (or merger after a flyby), 13 and 23 exchange (or merger after an exchange) in which the secondary (primary) BH is replaced by the intruder, 0 in the system is ionized in three single BHs, 3 if the system is still interacting at 1Myr, i.e. when we stop our simulation. This file might be useful to train a machine-lerning classificator, and can be used to reproduce Fig. 2 of the paper. <strong>Contacts:</strong> Marco Dall'Amico marco.dallamico@phd.studenti.unipd.it marco.dallamico@pd.infn.it
DOI: 10.6084/m9.figshare.22634722
title: Data for Shen Peng et al. 2023 (Current Biology), entitled "Neural circuit mechanisms linking courtship and reward in Drosophila males"

description: -- Shen et al Data Figures 1-6.zip: behavioral and calcium imaging data -- Shen et al Data Figures S1-S7.zip: behavioral and calcium imaging data
DOI: 10.6084/m9.figshare.22634722.v1
title: Data for Shen Peng et al. 2023 (Current Biology), entitled "Neural circuit mechanisms linking courtship and reward in Drosophila males"

description: -- Shen et al Data Figures 1-6.zip: behavioral and calcium imaging data -- Shen et al Data Figures S1-S7.zip: behavioral and calcium imaging data
DOI: 10.5281/zenodo.7878865
title: desmognathus_ochrophaeus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7878864
title: desmognathus_ochrophaeus_zanfona_1.fasta.gz

description: .
DOI: 10.34740/kaggle/dsv/5557441
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.7878914
title: desmognathus_santeetlah_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7878913
title: desmognathus_santeetlah_zanfona_1.fasta.gz

description: .
DOI: 10.21227/n59r-vy64
title: IOT AND AI-BASED SMART CATTLE HEALTH MONITORING

description: Cattle health monitoring is essential in the modern world, because of the high demand for dairy products. Regular monitoring is essential to extend the lifecycle of cattle and maintain the quality of dairy products. Unfortunately, Observing the health of cattle regularly is difficult in large farms where workers do not have enough time to do so. This paper described IoT devices such as skin temperature, heart rate, and motion sensor. Using this device, you can monitor cattle’s heart rate, activity level, heat stress, the surrounding temperature, and sleep tracking. The IoT system is integrated with the cloud. a machine learning algorithm predicts the health status of cattle based on the sensor’s real-time data, observing the real-time health status will alert the user if cattle suffer from a health issue, and a mobile app is developed to observe data visualization. Cattle health monitoring systems are designed to monitor the health of individual cattle and quickly diagnose and treat sick cattle.
DOI: 10.6084/m9.figshare.22721239
title: S4d5_p82G_H3K9me3.bw

description: H3k9me3 s2023h3k9me3
DOI: 10.6084/m9.figshare.22721239.v1
title: S4d5_p82G_H3K9me3.bw

description: H3k9me3 s2023h3k9me3
DOI: 10.6084/m9.figshare.22721257
title: S6w1_p106_H3K9me3.bw

description: H3k9me3 s2023
DOI: 10.6084/m9.figshare.22721257.v1
title: S6w1_p106_H3K9me3.bw

description: H3k9me3 s2023
DOI: 10.5517/ccdc.csd.cc2d4dwv
title: CCDC 2208777: Experimental Crystal Structure Determination

description: Related Article: Yuzhu Li, Zhaopeng Zeng, Yan Guo, Xingman Liu, Yi-Quan Zhang, Zhongwen Ouyang, Zhenxing Wang, Xiangyu Liu, Yan-Zhen Zheng|2023|Inorg.Chem.|62|6297|doi:10.1021/acs.inorgchem.2c04359
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dhc1b
title: CCDC 2219291: Experimental Crystal Structure Determination

description: Related Article: Taichi Koike, Takeaki Iwamoto|2023|J.Am.Chem.Soc.|145|9264|doi:10.1021/jacs.3c01906
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dhc2c
title: CCDC 2219292: Experimental Crystal Structure Determination

description: Related Article: Taichi Koike, Takeaki Iwamoto|2023|J.Am.Chem.Soc.|145|9264|doi:10.1021/jacs.3c01906
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dhc3d
title: CCDC 2219293: Experimental Crystal Structure Determination

description: Related Article: Taichi Koike, Takeaki Iwamoto|2023|J.Am.Chem.Soc.|145|9264|doi:10.1021/jacs.3c01906
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dhc4f
title: CCDC 2219294: Experimental Crystal Structure Determination

description: Related Article: Taichi Koike, Takeaki Iwamoto|2023|J.Am.Chem.Soc.|145|9264|doi:10.1021/jacs.3c01906
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dhc5g
title: CCDC 2219295: Experimental Crystal Structure Determination

description: Related Article: Taichi Koike, Takeaki Iwamoto|2023|J.Am.Chem.Soc.|145|9264|doi:10.1021/jacs.3c01906
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dhc6h
title: CCDC 2219296: Experimental Crystal Structure Determination

description: Related Article: Taichi Koike, Takeaki Iwamoto|2023|J.Am.Chem.Soc.|145|9264|doi:10.1021/jacs.3c01906
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dhc7j
title: CCDC 2219297: Experimental Crystal Structure Determination

description: Related Article: Taichi Koike, Takeaki Iwamoto|2023|J.Am.Chem.Soc.|145|9264|doi:10.1021/jacs.3c01906
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dhc8k
title: CCDC 2219298: Experimental Crystal Structure Determination

description: Related Article: Taichi Koike, Takeaki Iwamoto|2023|J.Am.Chem.Soc.|145|9264|doi:10.1021/jacs.3c01906
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dhc9l
title: CCDC 2219299: Experimental Crystal Structure Determination

description: Related Article: Taichi Koike, Takeaki Iwamoto|2023|J.Am.Chem.Soc.|145|9264|doi:10.1021/jacs.3c01906
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dhcbm
title: CCDC 2219300: Experimental Crystal Structure Determination

description: Related Article: Taichi Koike, Takeaki Iwamoto|2023|J.Am.Chem.Soc.|145|9264|doi:10.1021/jacs.3c01906
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dhccn
title: CCDC 2219301: Experimental Crystal Structure Determination

description: Related Article: Taichi Koike, Takeaki Iwamoto|2023|J.Am.Chem.Soc.|145|9264|doi:10.1021/jacs.3c01906
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2djmsc
title: CCDC 2220523: Experimental Crystal Structure Determination

description: Related Article: Chun-Hong Yeh, Ya-Jou Chang, Tsung-Juin Lin, Cheng-Chung Wang|2023|J.Am.Chem.Soc.|145|9003|doi:10.1021/jacs.3c00102
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dqkd3
title: CCDC 2226215: Experimental Crystal Structure Determination

description: Related Article: Alba Hernández-García, Lenka Marková, María Dolores Santana, Jitka Prachařová, Delia Bautista, Hana Kostrhunová, Vojtěch Novohradský, Viktor Brabec, José Ruiz, Jana Kašpárková|2023|Inorg.Chem.|62|6474|doi:10.1021/acs.inorgchem.3c00501
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7878933
title: desmognathus_conanti_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7878932
title: desmognathus_conanti_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.6360622
title: Effect of sleep deprivation and verbalization on cognitive and motor performance in male schoolchildren

description: Data Set: <strong>Abstract</strong> The aim of the present study was to examine the effect of verbalization on psycho-cognitive functions and psychomotor performance following selective sleep deprivation, among; 31 male students whose respective mean age 12.51 (± 0.92), mean height 156 (± 5.27) and mean weight 46.19 (± 4.24). After a predictive session and in random order, four experimental sessions were conducted: Two sessions (with and without verbalization) took place following a reference night (NR) and two sessions (with and without verbalization) after a sleep cycle disruption. Our experiment took place under the same temperature and humidity conditions (26-28° and 58-61% respectively). Results to the simple reaction time. ANOVA showed significant effects verbalization ([f = 68.77: p &lt;0.001]), sleep (f = 68.36: p &lt;0.001) and the interaction: sleep × Verbalization ([f = 28.7: p &lt;0.001]). For vigilance, following sleep deprivation, statistical analysis showed a significant decrease in alertness compared to the reference night (p &lt;0.001). <strong>Keywords: </strong>Psychomotor Skills, Reaction time; Selective Sleep deprivation; Verbalization, Vigilance.
DOI: 10.5281/zenodo.6360623
title: Effect of sleep deprivation and verbalization on cognitive and motor performance in male schoolchildren

description: Data Set: <strong>Abstract</strong> The aim of the present study was to examine the effect of verbalization on psycho-cognitive functions and psychomotor performance following selective sleep deprivation, among; 31 male students whose respective mean age 12.51 (± 0.92), mean height 156 (± 5.27) and mean weight 46.19 (± 4.24). After a predictive session and in random order, four experimental sessions were conducted: Two sessions (with and without verbalization) took place following a reference night (NR) and two sessions (with and without verbalization) after a sleep cycle disruption. Our experiment took place under the same temperature and humidity conditions (26-28° and 58-61% respectively). Results to the simple reaction time. ANOVA showed significant effects verbalization ([f = 68.77: p &lt;0.001]), sleep (f = 68.36: p &lt;0.001) and the interaction: sleep × Verbalization ([f = 28.7: p &lt;0.001]). For vigilance, following sleep deprivation, statistical analysis showed a significant decrease in alertness compared to the reference night (p &lt;0.001). <strong>Keywords: </strong>Psychomotor Skills, Reaction time; Selective Sleep deprivation; Verbalization, Vigilance.
DOI: 10.6084/m9.figshare.22722334
title: <strong>Equity Across Religious Identity: Assessing Student Attitudes and Experiences with the Current WSUSOM Religious Holiday Policy- Master Data Sheet</strong>

description: Master Data Sheet for all respondents to the Survey for the study Equity Across Religious Identity: Assessing Student Attitudes and Experiences with the Current WSUSOM Religious Holiday Policy
DOI: 10.6084/m9.figshare.22722334.v1
title: <strong>Equity Across Religious Identity: Assessing Student Attitudes and Experiences with the Current WSUSOM Religious Holiday Policy- Master Data Sheet</strong>

description: Master Data Sheet for all respondents to the Survey for the study Equity Across Religious Identity: Assessing Student Attitudes and Experiences with the Current WSUSOM Religious Holiday Policy