cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7578990
title: Simulations of stratocumulus cloud fields using RAMS model

description: The simulations of the stratocumulus are performed with a domain size of km ( bin points) for 3 hours. The horizontal resolution is fixed at 100 m, and the vertical bin spacing is 50 m. The initial state of the simulations (DYCOMS-II case) is based on vertical profiles of potential temperature, moisture, and horizontal winds, that were adapted from Stevens et al. (2003). From these initial fields, 4 additional simulations are carried out by slightly modifying the temperature profiles to check their effects on the stratocumulus field and notably on entrainment rates. In addition, one extra simulation is realized by modifying the humidity profile. In summary, these 6 simulations are as follows: case 1) ‘Control’ is the basic simulation with the unmodified fields; case 2) ‘Control + layer 150 m’ is as ‘Control’ but the temperature inversion is 150 m above that of ’Control’ (less brutal than ‘Control’), expecting more entrainment; case 3) ‘Control + layer 300 m’ is as ‘Control’ but the temperature inversion is 300 m above that of ’Control’; case 4) ‘Control - 4K’ is as ‘Control’ but with a smaller temperature inversion, expecting more mixing; case 5) ‘Control + 4K’ is as ‘Control’ but with a stronger temperature inversion; and case 6) ‘Extra’ is as ‘Control’ but initialized using a slightly modified water vapor profile. Detailed application of the datasets is described in our under reviewing paper (Shang et al 2022). Reference: Shang, H., Hioki, S., Penide, G., Cornet, C., Letu, H., and Riedi, J.: Establishment of an analytical model for remote sensing of typical stratocumulus cloud profiles under various precipitation and entrainment conditions, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-674, in review, 2022. Stevens, B., Lenschow, D. H., Vali, G., Gerber, H., Bandy, A., Blomquist, B., Brenguier, J.-L., Bretherton, C. S., Burnet, F., Campos, T., Chai, S., Faloona, I., Friesen, D., Haimov, S., Laursen, K., Lilly, D. K., Loehrer, S. M., Malinowski, S. P., Morley, B., Petters, M. D., Rogers, D. C., Russell, L., Savic-Jovcic, V., Snider, J. R., Straub, D., Szumowski, M. J., Takagi, H., Thornton, D. C., Tschudi, M., Twohy, C., Wetzel, M., and van Zanten, M. C.: Dynamics and Chemistry of Marine Stratocumulus—DYCOMS-II, Bulletin of the American Meteorological Society, 84, 579-594, 10.1175/BAMS-84-5-579 %J Bulletin of the American Meteorological Society, 2003.
DOI: 10.5281/zenodo.7283498
title: Raw data for 'The effect of the zero-field splitting in light-induced pulsed dipolar electron paramagnetic resonance (EPR) spectroscopy'

description: This repository contains the raw data for the manuscript 'The effect of the zero-field splitting interaction in light-induced pulsed dipolar electron paramagnetic resonance (EPR) spectroscopy' submitted for pubilcation at Magnetic Resonance.
DOI: 10.6084/m9.figshare.21972662.v3
title: Data on the influence of foreign R&D on the innovation performance of China's high-tech industries and its spatial spillover effect

description: It contains data for 11 items, which are: <strong>Technology innovation</strong> <strong>Product innovation</strong> <strong>Technology innovation 1</strong> <strong>Product innovation 1</strong> <strong>Foreign R&D investment</strong> <strong>Local R&D investment</strong> <strong>Industrial worker</strong> <strong>Industrial export trade</strong> <strong>Local financial support for science and technology</strong> <strong>Local social capital</strong> <strong>Funds for industrial technological transformation</strong>
DOI: 10.3886/e116330v1-132124
title: Replication data for: Incentives, Commitments, and Habit Formation in Exercise: Evidence from a Field Experiment with Workers at a Fortune-500 Company

description: Financial incentives have shown strong positive short-run effects for problematic health behaviors that likely stem from time inconsistency. However, the effects often disappear once incentive programs end. This paper analyzes the results of a large-scale workplace field experiment to examine whether self-funded commitment contracts can improve the long-run effects of an incentive program. A four week incentive program targeting use of the company gym generated only small lasting effects on behavior. Those that also offered a commitment contract at the end of the program, however, showed demand for commitment and significant long-run changes, detectable even several years after the incentive ended. (JEL D03, I10, J32)
DOI: 10.34740/kaggle/dsv/4913478
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.5517/ccdc.csd.cc2df635
title: CCDC 2217216: Experimental Crystal Structure Determination

description: Related Article: Xiao-Gang Chen, Yuan-Yuan Tang, Hui-Peng Lv, Xian-Jiang Song, Hang Peng, Hang Yu, Wei-Qiang Liao, Yu-Meng You, Ren-Gen Xiong|2023|J.Am.Chem.Soc.|145|1936|doi:10.1021/jacs.2c12306
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.cc2dj9r0
title: CCDC 2220212: Experimental Crystal Structure Determination

description: Related Article: Yu-Tao Liu, Yu-Hang Fan, Yan Mei, Dong-Jie Li, Yan Jiang, Wen-Hao Yu, Fei Pan|2023|Org.Lett.|25|549|doi:10.1021/acs.orglett.3c00016
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.cc2dnkn9
title: CCDC 2224301: Experimental Crystal Structure Determination

description: Related Article: Changduo Pan, Zixian Yang, Xian Wu, Jin-Tao Yu, Chengjian Zhu|2023|Org.Lett.|25|494|doi:10.1021/acs.orglett.2c04190
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: 10.6084/m9.figshare.21972662.v4
title: Data on the influence of foreign R&D on the innovation performance of China's high-tech industries and its spatial spillover effect

description: It contains data for 11 items, which are: <strong>Technology innovation</strong> <strong>Product innovation</strong> <strong>Technology innovation 1</strong> <strong>Product innovation 1</strong> <strong>Foreign R&D investment</strong> <strong>Local R&D investment</strong> <strong>Industrial worker</strong> <strong>Industrial export trade</strong> <strong>Local financial support for science and technology</strong> <strong>Local social capital</strong> <strong>Funds for industrial technological transformation</strong>
DOI: 10.6084/m9.figshare.21972662.v7
title: Data on the influence of foreign R&D on the innovation performance of China's high-tech industries and its spatial spillover effect

description: It contains data for 11 items, which are: <strong>Technology innovation</strong> <strong>Product innovation</strong> <strong>Technology innovation 1</strong> <strong>Product innovation 1</strong> <strong>Foreign R&D investment</strong> <strong>Local R&D investment</strong> <strong>Industrial worker</strong> <strong>Industrial export trade</strong> <strong>Local financial support for science and technology</strong> <strong>Local social capital</strong> <strong>Funds for industrial technological transformation</strong>
DOI: 10.6084/m9.figshare.21972662.v8
title: Data on the influence of foreign R&D on the innovation performance of China's high-tech industries and its spatial spillover effect

description: It contains data for 11 items, which are: <strong>Technology innovation</strong> <strong>Product innovation</strong> <strong>Technology innovation 1</strong> <strong>Product innovation 1</strong> <strong>Foreign R&D investment</strong> <strong>Local R&D investment</strong> <strong>Industrial worker</strong> <strong>Industrial export trade</strong> <strong>Local financial support for science and technology</strong> <strong>Local social capital</strong> <strong>Funds for industrial technological transformation</strong>
DOI: 10.6084/m9.figshare.21972662.v9
title: Data on the influence of foreign R&D on the innovation performance of China's high-tech industries and its spatial spillover effect

description: It contains data for 11 items, which are: <strong>Technology innovation</strong> <strong>Product innovation</strong> <strong>Technology innovation 1</strong> <strong>Product innovation 1</strong> <strong>Foreign R&D investment</strong> <strong>Local R&D investment</strong> <strong>Industrial worker</strong> <strong>Industrial export trade</strong> <strong>Local financial support for science and technology</strong> <strong>Local social capital</strong> <strong>Funds for industrial technological transformation</strong>
DOI: 10.6084/m9.figshare.21972662.v10
title: Data on the influence of foreign R&D on the innovation performance of China's high-tech industries and its spatial spillover effect

description: It contains data for 11 items, which are: <strong>Technology innovation</strong> <strong>Product innovation</strong> <strong>Technology innovation 1</strong> <strong>Product innovation 1</strong> <strong>Foreign R&D investment</strong> <strong>Local R&D investment</strong> <strong>Industrial worker</strong> <strong>Industrial export trade</strong> <strong>Local financial support for science and technology</strong> <strong>Local social capital</strong> <strong>Funds for industrial technological transformation</strong>
DOI: 10.6084/m9.figshare.21972662.v11
title: Data on the influence of foreign R&D on the innovation performance of China's high-tech industries and its spatial spillover effect

description: It contains data for 11 items, which are: <strong>Technology innovation</strong> <strong>Product innovation</strong> <strong>Technology innovation 1</strong> <strong>Product innovation 1</strong> <strong>Foreign R&D investment</strong> <strong>Local R&D investment</strong> <strong>Industrial worker</strong> <strong>Industrial export trade</strong> <strong>Local financial support for science and technology</strong> <strong>Local social capital</strong> <strong>Funds for industrial technological transformation</strong>
DOI: 10.5281/zenodo.7574192
title: replica of figurine venus from mold fragments

description: The mold is from the Museum of Ceramic Techniques collection in Koło, Poland. The mold fragments were brought to the Academy of Fine Arts in Warsaw, Poland, to recreate the figurine venus from the mold. The dataset was used for 3D printing the mold and recreating the figurine. Reverse engineering was done by combining both digital and manual technologies to manufacture the mold and make the figurine replica. The work has been presented at "Manufacturing of Ceramic Venus Figurine Replica from a Mold by Combining Traditional and Digital Technologies" (Heritage Science)
DOI: 10.5281/zenodo.7574191
title: replica of figurine venus from mold fragments

description: The mold is from the Museum of Ceramic Techniques collection in Koło, Poland. The mold fragments were brought to the Academy of Fine Arts in Warsaw, Poland, to recreate the figurine venus from the mold. The dataset was used for 3D printing the mold and recreating the figurine. Reverse engineering was done by combining both digital and manual technologies to manufacture the mold and make the figurine replica. The work has been presented at "Manufacturing of Ceramic Venus Figurine Replica from a Mold by Combining Traditional and Digital Technologies" (Heritage Science)
DOI: 10.5281/zenodo.7574053
title: restoration of a lying lion (face)

description: The ‘Lying Lion’ sculpture is one of two statues situated in an antithetical order in the foreground of the main entrance of the Radziwiłł Palace in Nieborów. It was sculpted probably by Johann Georg Plersch's workshop in the 18th century. The figures of lions were not designed for the Palace in Niebrów. They were purchased after the first world war from the Tyszkiewicz family estate in Landwarów. Later the lion was brought to the Faculty of Conservation and Restoration of Works of Art, Academy of Fine Arts in Warsaw, Poland for its restoration. This dataset is presented in the article "Approach for Identification of Geometry Change on Cultural Heritage Surface" (https://library.imaging.org/ei/articles/33/18/art00005)
DOI: 10.5281/zenodo.7574052
title: restoration of a lying lion (face)

description: The ‘Lying Lion’ sculpture is one of two statues situated in an antithetical order in the foreground of the main entrance of the Radziwiłł Palace in Nieborów. It was sculpted probably by Johann Georg Plersch's workshop in the 18th century. The figures of lions were not designed for the Palace in Niebrów. They were purchased after the first world war from the Tyszkiewicz family estate in Landwarów. Later the lion was brought to the Faculty of Conservation and Restoration of Works of Art, Academy of Fine Arts in Warsaw, Poland for its restoration. This dataset is presented in the article "Approach for Identification of Geometry Change on Cultural Heritage Surface" (https://library.imaging.org/ei/articles/33/18/art00005)
DOI: 10.5281/zenodo.7573748
title: defomation analysis on a globe

description: The globe comes from a private collection. The dataset has been presented in "Segmentation in application to deformation analysis of cultural heritage surfaces" (https://library.imaging.org/ei/articles/34/17/3DIA-213). The 3D model of the globe after complete conservation treatment is also added here in this dataset.
DOI: 10.5281/zenodo.7573747
title: defomation analysis on a globe

description: The globe comes from a private collection. The dataset has been presented in "Segmentation in application to deformation analysis of cultural heritage surfaces" (https://library.imaging.org/ei/articles/34/17/3DIA-213). The 3D model of the globe after complete conservation treatment is also added here in this dataset.
DOI: 10.5281/zenodo.7573650
title: mock-up for geometry change analysis

description: The ceramic object belongs to the Ceramic Conservation and Restoration Studio at the Faculty of Conservation and Restoration of Works of Art, Academy of Fine Arts in Warsaw, Poland. This is a mockup tile prepared for the geometry change assessment. The dataset has been presented in the article "Segmentation of Change in Surface Geometry Analysis for Cultural Heritage Applications" (https://www.mdpi.com/1424-8220/21/14/4899).
DOI: 10.5281/zenodo.7573649
title: mock-up for geometry change analysis

description: The ceramic object belongs to the Ceramic Conservation and Restoration Studio at the Faculty of Conservation and Restoration of Works of Art, Academy of Fine Arts in Warsaw, Poland. This is a mockup tile prepared for the geometry change assessment. The dataset has been presented in the article "Segmentation of Change in Surface Geometry Analysis for Cultural Heritage Applications" (https://www.mdpi.com/1424-8220/21/14/4899).
DOI: 10.5281/zenodo.7573625
title: Before and after conservation treatment (chemical cleaning)

description: The object belongs to the Ceramic Conservation and Restoration Studio at the Faculty of Conservation and Restoration of Works of Art, Academy of Fine Arts in Warsaw, Poland. This dataset for before and after cleaning has been presented in the article "Approach to Analysis the Surface Geometry Change in Cultural Heritage Objects" (https://link.springer.com/chapter/10.1007/978-3-030-51935-3_1).
DOI: 10.5281/zenodo.7573624
title: Before and after conservation treatment (chemical cleaning)

description: The object belongs to the Ceramic Conservation and Restoration Studio at the Faculty of Conservation and Restoration of Works of Art, Academy of Fine Arts in Warsaw, Poland. This dataset for before and after cleaning has been presented in the article "Approach to Analysis the Surface Geometry Change in Cultural Heritage Objects" (https://link.springer.com/chapter/10.1007/978-3-030-51935-3_1).
DOI: 10.5519/qd.0wybiqkg
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (155 records)
DOI: 10.6084/m9.figshare.20938786
title: Data file 4: Genes downregulated upon exposure to doxycycline

description: Genes downregulated upon exposure to 0.5×MIC or 1.0×MIC of doxycycline
DOI: 10.6084/m9.figshare.20938972
title: Data file 5: Genes upregulated upon exposure to ciprofloxacin

description: Genes upregulated upon exposure to 0.5×MIC or 1.0×MIC of ciprofloxacin
DOI: 10.6084/m9.figshare.20939176
title: Data file 6: Genes downregulated upon exposure to ciprofloxacin

description: Genes downregulated upon exposure to 0.5×MIC or 1.0×MIC of ciprofloxacin
DOI: 10.6084/m9.figshare.20938612
title: Data file 3: Genes upregulated upon exposure to doxycycline

description: <br> Genes upregulated upon exposure to 0.5×MIC or 1.0×MIC of doxycycline
DOI: 10.6084/m9.figshare.20938786.v1
title: Data file 4: Genes downregulated upon exposure to doxycycline

description: Genes downregulated upon exposure to 0.5×MIC or 1.0×MIC of doxycycline
DOI: 10.6084/m9.figshare.20938612.v1
title: Data file 3: Genes upregulated upon exposure to doxycycline

description: <br> Genes upregulated upon exposure to 0.5×MIC or 1.0×MIC of doxycycline
DOI: 10.6084/m9.figshare.20939176.v1
title: Data file 6: Genes downregulated upon exposure to ciprofloxacin

description: Genes downregulated upon exposure to 0.5×MIC or 1.0×MIC of ciprofloxacin
DOI: 10.5281/zenodo.7580622
title: MUSES Leaf Area Index (LAI) 8-Day Global 1km SIN Grid in 2012

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 LAI product at 1km spatial resolution and 8-day temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2012. <em>Please <strong>click here</strong> to download the MUSES LAI product<strong> in 2011</strong></em>, and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2013</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2012 Spatial Resolution: 1km Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7580621
title: MUSES Leaf Area Index (LAI) 8-Day Global 1km SIN Grid in 2012

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 LAI product at 1km spatial resolution and 8-day temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2012. <em>Please <strong>click here</strong> to download the MUSES LAI product<strong> in 2011</strong></em>, and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2013</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2012 Spatial Resolution: 1km Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7050205
title: Strains used in the paper "Bacteriophage cultivation for commensal human gut bacteria"

description: Sequences of 16S rRNA genes of 411 strains for taxonomic detection; Genomic sequence of of 42 strains for taxonomic detection; Genomic sequence of Bacteroides fragilis and Parabacteroides merdae strains used for genomic analysis in phage-host range analysis experiments.
DOI: 10.5281/zenodo.7050204
title: Strains used in the paper "Bacteriophage cultivation for commensal human gut bacteria"

description: Sequences of 16S rRNA genes of 411 strains for taxonomic detection; Genomic sequence of of 42 strains for taxonomic detection; Genomic sequence of Bacteroides fragilis and Parabacteroides merdae strains used for genomic analysis in phage-host range analysis experiments.