cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2f6cpq
title: CCDC 2240453: Experimental Crystal Structure Determination

description: Related Article: Hongmei Yu, Baoxi Zhang, Meiju Liu, Cheng Xing, Guorong He, Li Zhang, Ningbo Gong, Yang Lu, Guanhua Du|2024|Chin.Chem.Lett.|35|109032|doi:10.1016/j.cclet.2023.109032
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.cc2f6cqr
title: CCDC 2240454: Experimental Crystal Structure Determination

description: Related Article: Hongmei Yu, Baoxi Zhang, Meiju Liu, Cheng Xing, Guorong He, Li Zhang, Ningbo Gong, Yang Lu, Guanhua Du|2024|Chin.Chem.Lett.|35|109032|doi:10.1016/j.cclet.2023.109032
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.cc2f6crs
title: CCDC 2240455: Experimental Crystal Structure Determination

description: Related Article: Hongmei Yu, Baoxi Zhang, Meiju Liu, Cheng Xing, Guorong He, Li Zhang, Ningbo Gong, Yang Lu, Guanhua Du|2024|Chin.Chem.Lett.|35|109032|doi:10.1016/j.cclet.2023.109032
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.cc2f6cst
title: CCDC 2240456: Experimental Crystal Structure Determination

description: Related Article: Hongmei Yu, Baoxi Zhang, Meiju Liu, Cheng Xing, Guorong He, Li Zhang, Ningbo Gong, Yang Lu, Guanhua Du|2024|Chin.Chem.Lett.|35|109032|doi:10.1016/j.cclet.2023.109032
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.cc2f6ctv
title: CCDC 2240457: Experimental Crystal Structure Determination

description: Related Article: Hongmei Yu, Baoxi Zhang, Meiju Liu, Cheng Xing, Guorong He, Li Zhang, Ningbo Gong, Yang Lu, Guanhua Du|2024|Chin.Chem.Lett.|35|109032|doi:10.1016/j.cclet.2023.109032
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.cc2f6cvw
title: CCDC 2240458: Experimental Crystal Structure Determination

description: Related Article: Hongmei Yu, Baoxi Zhang, Meiju Liu, Cheng Xing, Guorong He, Li Zhang, Ningbo Gong, Yang Lu, Guanhua Du|2024|Chin.Chem.Lett.|35|109032|doi:10.1016/j.cclet.2023.109032
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.cc2f6cwx
title: CCDC 2240459: Experimental Crystal Structure Determination

description: Related Article: Hongmei Yu, Baoxi Zhang, Meiju Liu, Cheng Xing, Guorong He, Li Zhang, Ningbo Gong, Yang Lu, Guanhua Du|2024|Chin.Chem.Lett.|35|109032|doi:10.1016/j.cclet.2023.109032
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.10793583
title: Deep-potential enabled multiscale simulation of gallium nitride devices on boron arsenide cooling substrates

description: The data of paper "Deep-potential enabled multiscale simulation of gallium nitride devices on boron arsenide cooling substrates"1. The BAs file include lammps input file of EMD, BAs model file and NNP model. One can use follw command to perform simulation.                                                            lmp -in in.thermal   Besides, the  ShengBTE results from 3-phonon and 4-phono are included in ShengBTE file.2. The GaN file include lammps input file of EMD, GaN model file and NNP model. One can use follw command to perform simulation.                                                            lmp -in in.thermal   Besides, the  ShengBTE results from 4-phonon are included in ShengBTE file.3. The BAs-GaN file include lammps input file of NEMD, heterostructure model file and NNP model. One can use follw command to perform simulation.                                                            lmp -in in.thermal4. The active learning framework that includes the initial file, running file, machine configuration file and other input files.It is worht to note that the  machine      configuration file may not normally work, duo to different cluster environment. 

5. The FEM file contains python scripts for building finite element models.
DOI: 10.5281/zenodo.10793584
title: Deep-potential enabled multiscale simulation of gallium nitride devices on boron arsenide cooling substrates

description: The data of paper "Deep-potential enabled multiscale simulation of gallium nitride devices on boron arsenide cooling substrates"1. The BAs file include lammps input file of EMD, BAs model file and NNP model. One can use follw command to perform simulation.                                                            lmp -in in.thermal   Besides, the  ShengBTE results from 3-phonon and 4-phono are included in ShengBTE file.2. The GaN file include lammps input file of EMD, GaN model file and NNP model. One can use follw command to perform simulation.                                                            lmp -in in.thermal   Besides, the  ShengBTE results from 4-phonon are included in ShengBTE file.3. The BAs-GaN file include lammps input file of NEMD, heterostructure model file and NNP model. One can use follw command to perform simulation.                                                            lmp -in in.thermal4. The active learning framework that includes the initial file, running file, machine configuration file and other input files.It is worht to note that the  machine      configuration file may not normally work, duo to different cluster environment. 

5. The FEM file contains python scripts for building finite element models.
DOI: 10.5281/zenodo.10676934
title: ELITE land surface temperature: hourly seamless 0.02° LST over East Asia (2022.7-2022.12)

description: The Essential thermaL Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

This dataset is the ELITE hourly seamless 0.02 ° LST dataset over East Asia (2016-2021). Firstly, the iTES algorithm is employed to retrieve the Himawari-8/AHI LST. Secondly, the CLDAS LST is corrected to eliminate its system deviation. Finally, the multi-scale Kalman filter is employed to fuse Himawari-8/AHI LST and the bias-corrected CLDAS LST to generate 0.02 ° hourly seamless LST. The in situ validation results show that the root mean square error (RMSE) of the seamless LST is about 3k. The temporal resolution and spatial resolution of this dataset are 1 hour and 0.02°, respectively.

This is the seamless LST dataset in 2022.7-2022.12. Please click here to download the ELITE LST product in 2021.

Dataset Characteristics:



Spatial Coverage: East Asia (0-60°N, 80°E-140°E)

Temporal Coverage: 2022.7-2022.12

Spatial Resolution: 0.02 °

Temporal Resolution: one hour

Data Format: Geotiff

Scale: 0.01


Citation (Please cite these papers when using the data):



Dong, S., Cheng, J., Shi, J., Shi, C., Sun, S., & Liu, W. (2022). A Data Fusion Method for Generating Hourly Seamless Land Surface Temperature from Himawari-8 AHI Data. Remote Sensing, 14, 5170

Zhou, S., & Cheng, J. (2020). An Improved Temperature and Emissivity Separation Algorithm for the Advanced Himawari Imager. IEEE Transactions on Geoscience and Remote Sensing, 58(10), 7105-7124.


If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).
DOI: 10.5281/zenodo.10676935
title: ELITE land surface temperature: hourly seamless 0.02° LST over East Asia (2022.7-2022.12)

description: The Essential thermaL Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

This dataset is the ELITE hourly seamless 0.02 ° LST dataset over East Asia (2016-2021). Firstly, the iTES algorithm is employed to retrieve the Himawari-8/AHI LST. Secondly, the CLDAS LST is corrected to eliminate its system deviation. Finally, the multi-scale Kalman filter is employed to fuse Himawari-8/AHI LST and the bias-corrected CLDAS LST to generate 0.02 ° hourly seamless LST. The in situ validation results show that the root mean square error (RMSE) of the seamless LST is about 3k. The temporal resolution and spatial resolution of this dataset are 1 hour and 0.02°, respectively.

This is the seamless LST dataset in 2022.7-2022.12. Please click here to download the ELITE LST product in 2021.

Dataset Characteristics:



Spatial Coverage: East Asia (0-60°N, 80°E-140°E)

Temporal Coverage: 2022.7-2022.12

Spatial Resolution: 0.02 °

Temporal Resolution: one hour

Data Format: Geotiff

Scale: 0.01


Citation (Please cite these papers when using the data):



Dong, S., Cheng, J., Shi, J., Shi, C., Sun, S., & Liu, W. (2022). A Data Fusion Method for Generating Hourly Seamless Land Surface Temperature from Himawari-8 AHI Data. Remote Sensing, 14, 5170

Zhou, S., & Cheng, J. (2020). An Improved Temperature and Emissivity Separation Algorithm for the Advanced Himawari Imager. IEEE Transactions on Geoscience and Remote Sensing, 58(10), 7105-7124.


If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).
DOI: 10.5281/zenodo.10697988
title: Data-Driven Identification and Analysis of Waiting Times in Business Processes: A Systematic Literature Review

description: Supplementary Material for Systematic Literature Review titled "Data-Driven Identification and Analysis of Waiting Times in
Business Processes: A Systematic Literature Review"
DOI: 10.5281/zenodo.10698001
title: Data-Driven Identification and Analysis of Waiting Times in Business Processes: A Systematic Literature Review

description: Supplementary Material for Systematic Literature Review titled "Data-Driven Identification and Analysis of Waiting Times in
Business Processes: A Systematic Literature Review"
DOI: 10.5281/zenodo.10698027
title: Data-Driven Identification and Analysis of Waiting Times in Business Processes: A Systematic Literature Review

description: Supplementary Material for Systematic Literature Review titled "Data-Driven Identification and Analysis of Waiting Times in
Business Processes: A Systematic Literature Review"
DOI: 10.5281/zenodo.7492688
title: Data-Driven Identification and Analysis of Waiting Times in Business Processes: A Systematic Literature Review

description: Supplementary Material for Systematic Literature Review titled "Data-Driven Identification and Analysis of Waiting Times in
Business Processes: A Systematic Literature Review"
DOI: 10.5281/zenodo.7492689
title: Data-Driven Identification and Analysis of Waiting Times in Business Processes: A Systematic Literature Review

description: Supplementary Material for Systematic Literature Review titled "Data-Driven Identification and Analysis of Waiting Times in<br> Business Processes: A Systematic Literature Review"
DOI: 10.5281/zenodo.8374244
title: Data-Driven Identification and Analysis of Waiting Times in Business Processes: A Systematic Literature Review

description: Supplementary Material for Systematic Literature Review titled "Data-Driven Identification and Analysis of Waiting Times in<br> Business Processes: A Systematic Literature Review"
DOI: 10.1594/pangaea.786802
title: (Table T1) Geochemical composition of dolerites from ODP Leg 180 sites and samples from Woodlark Island
DOI: 10.1594/pangaea.786803
title: (Table T2) Major element oxides and mineral composition of dolerites from ODP Leg 180 sites
DOI: 10.1594/pangaea.808940
title: Iron (Fe) concentrations and fluxes in TALDICE ice core 0.6 to 314 ky BP

description: Atmospheric fluxes of iron (Fe) over the past 200 kyr are reported for the coastal Antarctic Talos Dome ice core, based on acid leachable Fe concentrations. Fluxes of Fe to Talos Dome were consistently greater than those at Dome C, with the greatest difference observed during interglacial climates. We observe different Fe flux trends at Dome C and Talos Dome during the deglaciation and early Holocene, attributed to a combination of deglacial activation of dust sources local to Talos Dome and the reorganisation of atmospheric transport pathways with the retreat of the Ross Sea ice shelf. This supports similar findings based on dust particle sizes and fluxes and Rare Earth Element fluxes. We show that Ca and Fe should not be used as quantitative proxies for mineral dust, as they all demonstrate different deglacial trends at Talos Dome and Dome C. Considering that a 20 ppmv decrease in atmospheric CO2 at the coldest part of the last glacial maximum occurs contemporaneously with the period of greatest Fe and dust flux to Antarctica, we confirm that the maximum contribution of aeolian dust deposition to Southern Ocean sequestration of atmospheric CO2 is approximately 20 ppmv.
description: Depth is TOP depth [m] of sample
description: Supplement to: Vallelonga, Paul T; Barbante, Carlo; Cozzi, Giulio; Gabrieli, Jacopo; Schüpbach, Simon; Spolaor, Andrea; Turetta, Clara (2013): Iron fluxes to Talos Dome, Antarctica, over the past 200 kyr. Climate of the Past, 9, 597-604
DOI: 10.1594/pangaea.810252
title: (Table 1) UV exposure of expeditioners and ambient radiation characteristics at Casey, Davis and Mawson Station
DOI: 10.1594/pangaea.810253
title: (Table 2) Number of expeditioners with UV exposure limits exceeded and with visible erythema at Casey, Davis and Mawson Station
DOI: 10.1594/pangaea.833939
title: (Supplement 1) Halogen deposition at Holtedahlfonna, Svalbard

description: Depth, ice/snow in m w.e.
DOI: 10.1594/pangaea.833940
title: (Supplement 2) Halogen deposition at Law Dome, Antarctica

description: Depth, ice/snow in m w.e.
DOI: 10.1594/pangaea.833941
title: (Supplement 3) Halogen deposition at NEEM, Greenland

description: Depth, ice/snow in m w.e.
DOI: 10.1594/pangaea.924755
title: Potential source area Pb isotope compilation
DOI: 10.1594/pangaea.926825
title: Compilation of multi-source historical data on Mediterranean sponge fisheries

description: Sponges are benthic animals that live attached to the ocean bottom and feed by filtering seawater. In the Mediterranean Sea there are many species, some of which have been harvested during centuries for commercialization. These horny sponges were harvested using techniques that varied in time and space. Sponge production in the Mediterranean Sea peaked at the end of the 19th century, and a second time, after the Second World War, when approximately 300 tons were produced per year. In recent years, Mediterranean sponge production has declined to barely a few tons per year.The objective of the SACOLEVE program (Spatial and temporal Adaptation of a traditional Mediterranean fishery facing Regional Change: COmbining history and ecoLogy to study past, prEsent and future of sponge HarVEsting) was to (i) obtain a full picture of the sponge production decrease and (ii) understand the underlying reasons explaining the temporal sponge production variations. In the frame of this program, a PhD thesis entitled "Histoire de la pêche des éponges en Méditerranée, et son adaptation récente au changement régional" (Mediterranean sponge fishing history and its recent adaptation to regional change) was dedicated to this research topic. Information from numerous archives, grey literature, published articles and fishermen interviews were collected and stored in an original Access 2013 database. This tool answered the needs of labelling, sorting, homogenizing and cross-referencing large quantities of historical information on sponge fishing in the Mediterranean. Data, mainly from the Mediterranean countries, span the period from the 18th century to 2019. They concern geographic distribution of commercial sponge populations, commercial yearly movements (production, export, import) of sponges, and detailed sponge fishing efforts for the main sponge-producing countries and smaller sponge fishing communities. The data submitted here represent a partial extraction of the database used for the PhD thesis.
DOI: 10.1594/pangaea.930580
title: Fe concentration and fluxes from the NEEM ice core (Greenland)

description: In this dataset, we present Fe, Na and Ca concentration and fluxes retrieved from the North Greenland Eemian Ice Drilling (NEEM) ice core project, covering the last 108 kyrs. The sampling resolution was 110 cm. To ensure an effective dissolution of Fe particles, samples were acidified to pH 1 using Suprapure nitric acid and stored at room temperature for 1 month before the analysis. The ice samples were analyzed with an Inductively Coupled Plasma Single Quadrupole Mass Spectrometer equipped with a quartz Scott spray chamber. Limits of Detection, calculated as three times the standard deviation of the blanks, were 0.8 µg L-1 for 57Fe, 1 µg L-1 for Ca and 3 µg L-1 for Na. Our results show that Holocene Fe fluxes (0.042 -11.7 kyr b2k, 0.5 mg m-2 yr-1) at the NEEM site were four times lower than the average recorded over the last glacial period (11.7– 108 kyr b2k, 2.0 mg m-2 yr-1), while they were greater during the Last Glacial Maximum (LGM, 14.5 – 26.5 kyr b2k, 3.6 mg m-2 yr-1) and Marine Isotope Stage 4 (MIS 4, 60 - 71 kyr b2k, 5.8 mg m-2 yr-1).
description: We present Fe, Ca and Na concentration and fluxes. Dating (GICC05modelext-NEEM-1) and accumulation data are from Rasmussen et al., 2013.
DOI: 10.6084/m9.figshare.25406191
title: Elsafty_RBCs_Slide_13

description: Each one of (Elsafty_RBCs_Slide_1-25) contains the field images/patches of a specific slide/patient. The names of the patches start with the respective slide/patient number, followed by the unique patch/field number. There is a total of 47,363 patches with 1076x535 pixels size from the 25 slides/patients, the counts of patches per slide/patient are as follows: 1690, 1709, 2697, 2400, 1905, 1803, 2964, 3049, 2464, 2080, 1894, 1852, 2590, 2263, 3328, 983, 1066, 935, 1131, 1237, 1874, 1393, 1277, 1199, and 1580.
DOI: 10.6084/m9.figshare.25422697
title: <b>Monitoring and evaluation of the effects of Grain for Green Project on the Loess Plateau: A case study of Wuqi County in China</b>

description: The Loess Plateau plays a significant role in the implementation of China's Grain for Green Project due to severe ecological damage in the region. In order to monitor and evaluate the effects of Grain for Green Project, a study was conducted in Wuqi County, which is representative of the Loess Plateau. The study utilized remote sensing (RS) and geographic information system (GIS) technologies to analyze the spatial and temporal patterns of Grain for Green Project and assess its effects. The findings indicate that the Grain for Green Project resulted in notable improvements in Wuqi County from 2000 to 2018. Firstly, there was a significant increase in vegetation coverage, accompanied by a reduction in soil erosion intensity. Secondly, approximately 64% of cropland was converted, leading to an expansion of forest and grassland areas. Thirdly, the focus of vegetation restoration was primarily on converting cropland to grassland, indicating its suitability for the county compared to forestation. Lastly, the conversion of steep cropland (&gt;25°) was influenced by the density of less steep cropland (&lt;25°). This study emphasizes the importance of guiding farmers in selecting appropriate vegetation restoration strategies and finding a balance between erosion control and agricultural production within the Grain for Green Project. Furthermore, the study recognizes that the project's significant effects are not solely attributed to land use conversion but also to the self-restoration of vegetation. This shift towards a self-restoration perspective is crucial for the future high-quality development of the Grain for Green Project.
DOI: 10.6084/m9.figshare.24908061
title: <b>Every day counts: quantitative insights into impacts of antibiotics and breastmilk on the developing gut microbiome and metabolome in preterm infants in NICU</b>

description: Dataset of microbial profiles of manuscript entitled "<b>Every day counts: quantitative insights into impacts of antibiotics and breastmilk on the developing gut microbiome and metabolome in preterm infants in NICU</b>"
DOI: 10.6084/m9.figshare.24908061.v1
title: <b>Every day counts: quantitative insights into impacts of antibiotics and breastmilk on the developing gut microbiome and metabolome in preterm infants in NICU</b>

description: Dataset of microbial profiles of manuscript entitled "<b>Every day counts: quantitative insights into impacts of antibiotics and breastmilk on the developing gut microbiome and metabolome in preterm infants in NICU</b>"
DOI: 10.5517/ccdc.csd.cc2f6cxy
title: CCDC 2240460: Experimental Crystal Structure Determination

description: Related Article: Hongmei Yu, Baoxi Zhang, Meiju Liu, Cheng Xing, Guorong He, Li Zhang, Ningbo Gong, Yang Lu, Guanhua Du|2024|Chin.Chem.Lett.|35|109032|doi:10.1016/j.cclet.2023.109032
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.