cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2cy74q
title: CCDC 2202833: Experimental Crystal Structure Determination

description: Related Article: Jan Chyba, Anna Hruzíková, Michal Knor, Petra Pikulová, Kateřina Marková, Jan Novotný, Radek Marek|2023|Inorg.Chem.|62|3381|doi:10.1021/acs.inorgchem.2c03282
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.cc2cy75r
title: CCDC 2202834: Experimental Crystal Structure Determination

description: Related Article: Jan Chyba, Anna Hruzíková, Michal Knor, Petra Pikulová, Kateřina Marková, Jan Novotný, Radek Marek|2023|Inorg.Chem.|62|3381|doi:10.1021/acs.inorgchem.2c03282
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.cc2cy76s
title: CCDC 2202835: Experimental Crystal Structure Determination

description: Related Article: Jan Chyba, Anna Hruzíková, Michal Knor, Petra Pikulová, Kateřina Marková, Jan Novotný, Radek Marek|2023|Inorg.Chem.|62|3381|doi:10.1021/acs.inorgchem.2c03282
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.cc2d4frr
title: CCDC 2208804: Experimental Crystal Structure Determination

description: Related Article: Zhiqing Liu, Ying Wu, Yuan-Hui Zhong, Lai-Hon Chung, Wei-Ming Liao, Xianghua Yang, Jun He|2022|CrystEngComm|25|347|doi:10.1039/D2CE01466A
description: Related Article: Zhiqing Liu, Ying Wu, Yuan-Hui Zhong, Lai-Hon Chung, Wei-Ming Liao, Xianghua Yang, Jun He|2022|CSD Communication|||
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.cc2d4fss
title: CCDC 2208805: Experimental Crystal Structure Determination

description: Related Article: Zhiqing Liu, Ying Wu, Yuan-Hui Zhong, Lai-Hon Chung, Wei-Ming Liao, Xianghua Yang, Jun He|2022|CrystEngComm|25|347|doi:10.1039/D2CE01466A
description: Related Article: Zhiqing Liu, Ying Wu, Yuan-Hui Zhong, Lai-Hon Chung, Wei-Ming Liao, Xianghua Yang, Jun He|2022|CSD Communication|||
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.cc2d5g24
title: CCDC 2209775: Experimental Crystal Structure Determination

description: Related Article: Hang Qian, Cui-Cui Wang, Zi-Chen Shen, Ming-Xue Sun, Hong-Chao Zhang, Shiming Fan, Juan Feng, Shouxin Liu, Zhi-Wei Zhang|2022|CSD Communication|||
description: Related Article: Hang Qian, Cui-Cui Wang,* Zi-Chen Shen, Ming-Xue Sun, Hong-Chao Zhang, Shiming Fan, Juan Feng, Shouxin Liu* and Zhi-Wei Zhang*|2022|Green Chemistry|24|9690|doi:10.1039/d2gc03936b
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.cc2d9kjt
title: CCDC 2213726: Experimental Crystal Structure Determination

description: Related Article: Hsin-Hung Kuo|2022|CSD Communication|||
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.cc2dg8jp
title: CCDC 2218252: Experimental Crystal Structure Determination

description: Related Article: xia dong|2022|CSD Communication|||
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.22189003.v4
title: Code and Data

description: The output data from our model and evaluation is included here.
DOI: 10.5281/zenodo.7728908
title: projet_Python_BSG

description: Le code génétique pour Homo sapiens et E.Coli
DOI: 10.5281/zenodo.7728907
title: projet_Python_BSG

description: Le code génétique pour Homo sapiens et E.Coli
DOI: 10.5281/zenodo.7728508
title: L4F - Training dataset and layers for biomass prediction

description: Those data represent the Brazilian Amazon by 68,629,072 250-m pixels, and 141,032 pixels have LiDAR information and therefore had the AGB estimated, and converted to Mg ha-1 (file trainning_dataset.csv). To generate a wall-to-wall map of the Brazilian Amazon at 250-m resolution, we trained a Random Forest (RF) model 29 using the AGB estimated pixels and remote sensing layers formed by: MODIS vegetation indices, Shuttle Radar Topography Mission (SRTM) data, Tropical Rainfall Measuring Mission (TRMM), and Phased Array type L-band Synthetic Aperture Radar (PALSAR) data, along with the central coordinates of each 250m pixel, stored in amazon_*.csv files. Derived from MODIS, we used the Vegetation Indices 16-Day L3 Global 250m temporal series (MOD13Q1) products from 2016, including the Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI), from MODIS. From TRMM we used the 3B43 V6 precipitation data, with each pixel value representing the monthly accumulated precipitation from 1998 to 2016 at a resolution of 0.25 degrees. From PALSAR, we used the L-band image in the HH and HV polarizations, acquired in 2015. When necessary, the remote sensing products were resampled by means to a 250 m grid. Random Forest models were tested using the H2O_Flow platform and produced the best model based on RMSE and R², containing NDVI q3, PALSAR HV, TRMM mean, X, SRTM, Y, PALSAR HH, EVI q1, EVI mean, NDVI mean, NDVI q1, EVI q3.
description: This project was supported by Amazon Fund (grant 14.2.0929.1) and National Academy of Sciences and US Agency for International Development (grant AID-OAA-A-11–00012).
DOI: 10.6084/m9.figshare.22262545.v2
title: A history reconstructed time series (1992-2011) of annual global NPP-VIIRS-V2-like nighttime light data through Super-resolution U-Net model

description: The dataset is an extend time series of the Version 2 annual NPP-VIIRS nighttime light composites. <br> The dataset contains (1) simulated NPP-VIIRS NTL time series from the DMSP-OLS NTL data (1992-2011) based on a U-Net based super resolution method; and (2) the version 2 annual NPP-VIIRS NTL data (2012-2020), which were obtained from the academic sector at the Colorado School of Mines (https://eogdata.mines.edu/products/vnl/). The pixels of which value less than zero were set to zero. <br> The dataset are 15 arc second grids, spanning -180 to 180 degrees longitude and -65 to 75 degrees latitude. <br> Each zip file contains an NTL image in geotiff format. The filename of each image is "SRUNet_NPP_VIIRS_V2_Like_yyyy", where "yyyy" is the year of the image. <br> The simulated NPP-VIIRS NTL data converted from the DMSP-OLS NTL data in 2012 and 2013 are also uploaded, which named "simulated_NPP_VIIRS_V2_yyyy".
DOI: 10.6084/m9.figshare.22262971
title: Supplementary Material

description: 1. The total of 4856 articles Bibliometrix Export File 2.The most valuable articles Historiograph Network
DOI: 10.6084/m9.figshare.22262971.v1
title: Supplementary Material

description: 1. The total of 4856 articles Bibliometrix Export File 2.The most valuable articles Historiograph Network
DOI: 10.25919/s7c2-hc39
title: Maximum two-monthly surface water extent for MDB from MIM and WOFS - Version 2

description: The multi-index method (MIM) (refer to Ticehurst, Teng and Sengupta 2022 in the Related Links for a description of the method) was developed for mapping surface water across the Murray-Darling Basin (MDB) based on Landsat surface reflectance data available in Digital Earth Australia. More than thirty years of two-monthly images of surface water extent across the whole MDB have been produced using this method, along with Water Observations from Space (WOfS) to help fill in gaps associated with cloud cover. The data were produced as part of the Murray-Darling Basin Ecosystem Function (MDB-EF) and Murray-Darling Water and Environment Research Program (MD-WERP) projects. This is Version 2 of this product, spanning from 1988 to June 2022, with an updated version from 1988 to December 2022. Differences between this version and the original version are described in the metadata document (see Supporting files). Also view the metadata documents for a description of the data layers, product limitations and updates.
DOI: 10.34740/kaggle/dsv/5158172
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.7728925
title: Resource availability and capacity to implement multi-stranded cholera interventions in the north-east region of Nigeria

description: Limited healthcare facility (HCF) resources and capacity to implement multi-stranded cholera interventions ('water, sanitation, and hygiene (WASH)’, ‘surveillance’, ‘case management’, and ‘community engagement’) can hinder the actualisation of the global strategic roadmap goals for cholera control, especially in settings made fragile by armed conflicts, such as the north-east region of Nigeria. Therefore, we aimed to assess HCF resource availability and capacity to implement these cholera interventions in Adamawa and Bauchi States in Nigeria, as well as assess their coordination in both states and Abuja, where national coordination of cholera is based.<br> We conducted a cross-sectional survey using a face-to-face structured questionnaire to collect data on multi-stranded cholera interventions and their respective indicators in HCFs. We generated scores to describe the resource availability of each cholera intervention and categorised them as: 0-50 (low), 51-70 (moderate), 71-90 (high), and over 90 (excellent). Further, we defined an HCF with a high capacity to implement a cholera intervention as one with a score equal to or above the average intervention score.
DOI: 10.5281/zenodo.7728924
title: Resource availability and capacity to implement multi-stranded cholera interventions in the north-east region of Nigeria

description: Limited healthcare facility (HCF) resources and capacity to implement multi-stranded cholera interventions ('water, sanitation, and hygiene (WASH)’, ‘surveillance’, ‘case management’, and ‘community engagement’) can hinder the actualisation of the global strategic roadmap goals for cholera control, especially in settings made fragile by armed conflicts, such as the north-east region of Nigeria. Therefore, we aimed to assess HCF resource availability and capacity to implement these cholera interventions in Adamawa and Bauchi States in Nigeria, as well as assess their coordination in both states and Abuja, where national coordination of cholera is based.<br> We conducted a cross-sectional survey using a face-to-face structured questionnaire to collect data on multi-stranded cholera interventions and their respective indicators in HCFs. We generated scores to describe the resource availability of each cholera intervention and categorised them as: 0-50 (low), 51-70 (moderate), 71-90 (high), and over 90 (excellent). Further, we defined an HCF with a high capacity to implement a cholera intervention as one with a score equal to or above the average intervention score.
DOI: 10.6084/m9.figshare.22189003
title: Code and Data

description: The output data from our model and evaluation is included here.
DOI: 10.6084/m9.figshare.22189003.v5
title: Code and Data

description: The output data from our model and evaluation is included here.
DOI: 10.25919/ctw7-p587
title: Parkes observations for project P1161 semester 2022OCTS_03

description: Randomness is the basis of security, privacy, trust and fairness. Cryptographic methods become vulnerable if the underlying randomness is weak or could be biased by the users of the system. Numerous applications rely on “Publicly verifiable randomness” (PVR), where randomness is extracted from a publicly accessible process or object, the output of which can be verified by third parties. With this proposal we wish to determine which pulsars would be most suitable if we wish to produce PVR through observations of pulsars.
DOI: 10.25403/upresearchdata.22153823
title: Blockchain model code snippets for sharing tendering project information

description: A code snippets of the Blockchain model configurations that depicts how tendering project information can be securely and efficiently shared among various parties that have an interest in the tendering projects. Note that the model was implemented using Hyperledger-fabric framework, which since a blockchain framework use for implementing private blockchain solutions or simulate blockchain network using virtual nodes. Additionally, the results depicted in the code snippets only reflect a summary of the operational results of the proposed model.
DOI: 10.25403/upresearchdata.22153823.v1
title: Blockchain model code snippets for sharing tendering project information

description: A code snippets of the Blockchain model configurations that depicts how tendering project information can be securely and efficiently shared among various parties that have an interest in the tendering projects. Note that the model was implemented using Hyperledger-fabric framework, which since a blockchain framework use for implementing private blockchain solutions or simulate blockchain network using virtual nodes. Additionally, the results depicted in the code snippets only reflect a summary of the operational results of the proposed model.
DOI: 10.5519/qd.6xvbvet2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (64 records)
DOI: 10.5281/zenodo.7728970
title: Cosmic Muon Images open classification data

description: This is a reduced, anonymised dataset containing the classifications made in the Cosmic Muon Images demonstrator project available on Zooniverse during the implementation period - from the 19th of October, 2021, to the 23rd of October, 2023 - as part of the REINFORCE project.
DOI: 10.5281/zenodo.7728969
title: Cosmic Muon Images open classification data

description: This is a reduced, anonymised dataset containing the classifications made in the Cosmic Muon Images demonstrator project available on Zooniverse during the implementation period - from the 19th of October, 2021, to the 23rd of October, 2023 - as part of the REINFORCE project.
DOI: 10.6084/m9.figshare.22262545.v3
title: A history reconstructed time series (1992-2011) of annual global NPP-VIIRS-V2-like nighttime light data through Super-resolution U-Net model

description: The dataset is an extend time series of the Version 2 annual NPP-VIIRS nighttime light composites. Based on the super-resolution deep learning technology, the dataset using DMSP-OLS NTL data and Landsat NDVI to reconstruct the NPP-VIIRS NTL data in the early years (1992-2011). The dataset could be easily updated by downloading the version 2 annual NPP-VIIRS NTL data in later years from the academic sector at the Colorado School of Mines (https://eogdata.mines.edu/products/vnl/). The dataset has good spatial pattern and temporal consistency, and is highly consistent with NPP-VIIRS NTL data. It provide a longer time period compared to existing products. Compared with the annual NPP-VIIRS NTL data in 2012, the dataset shows a good consistency at the pixel, city, province and nation levels with R2 of 0.617, 0.747, 0.874, and 0.964, respectively, while the R2 of the NPP-VIIRS-like NTL product provide by Chen (2020) is 0.512, 0.694, 0.86, and 0.966, respectively. The dataset contains (1) simulated NPP-VIIRS NTL time series from the DMSP-OLS NTL data (1992-2011) based on a U-Net based super resolution method; and (2) the version 2 annual NPP-VIIRS NTL data (2012-2020), which were obtained from the academic sector at the Colorado School of Mines (https://eogdata.mines.edu/products/vnl/). The pixels of which value less than zero were set to zero. The dataset are 15 arc second grids, spanning -180 to 180 degrees longitude and -65 to 75 degrees latitude. Each zip file contains an NTL image in geotiff format. The filename of each image is "SRUNet_NPP_VIIRS_V2_Like_yyyy", where "yyyy" is the year of the image. The simulated NPP-VIIRS NTL data converted from the DMSP-OLS NTL data in 2012 and 2013 are also uploaded, which named "simulated_NPP_VIIRS_V2_yyyy".
DOI: 10.23729/97ed3b52-6079-4857-8b87-7a723d00488c
title: Katupölymääriä Oulun seudulla 2020-2022

description: Excel-tiedostoissa on kerätty Nuuskija-auton TEOM1405 hiukkasmonitorin keräämä pölymäärädata sekä samanaikainen paikka- ja säätieto valituilla tieosuuksilla Oulun seudulla ja Meri-Lapissa 15-17.7.2020, 21-22.4.2021, 27-29.4.2022. Nuuskija kerää vasemman takapyörän nostattamaa pölyä näytteenottolinjastoon, josta mittalaitteille tulevat 10 mikrometriä tai pienemmät hiukkaset. Kerätty data on ajallisesti rajoittunut eikä kuvaa ko. tieosuuksien keskimääräisiä olosuhteita.
DOI: 10.5281/zenodo.7729001
title: XAI Sedimentation Use Case

description: Presented is a dataset describing the environmental characteristics of coastal Louisiana. A machine learning workflow accompanies the workflow.
DOI: 10.5281/zenodo.7729000
title: XAI Sedimentation Use Case

description: Presented is a dataset describing the environmental characteristics of coastal Louisiana. A machine learning workflow accompanies the workflow.
DOI: 10.25573/serc.20518518
title: Seagrass meadows as previously unrecognized reservoirs of micronutrients for human health

description: Preliminary dataset and R code for submitted article (will be updated on final revision) <br>
DOI: 10.25573/serc.20518518.v1
title: Seagrass meadows as previously unrecognized reservoirs of micronutrients for human health

description: Preliminary dataset and R code for submitted article (will be updated on final revision) <br>
DOI: 10.5281/zenodo.7729033
title: GWitchHunters open classification data

description: This is a reduced, anonymised dataset containing the classifications made in the GWitchHunters demonstrator project available on Zooniverse during the implementation period - from the 19th of October, 2021, to the 23rd of October, 2023 - as part of the REINFORCE project.
DOI: 10.5281/zenodo.7729032
title: GWitchHunters open classification data

description: This is a reduced, anonymised dataset containing the classifications made in the GWitchHunters demonstrator project available on Zooniverse during the implementation period - from the 19th of October, 2021, to the 23rd of October, 2023 - as part of the REINFORCE project.
DOI: 10.5281/zenodo.7729031
title: Evidence for stronger sexual selection in males than females using an adapted method of Bateman's classic study of Drosophila melanogaster

description: Bateman’s principle, originally a test of Darwin’s theoretical ideas, has since become fundamental to sexual selection theory and vital to contextualising the role of anisogamy and the operational sex ratio in sex differences in both reproductive competition and precopulatory sexual selection. Despite this, Bateman’s principle has received substantial criticism, and researchers have highlighted both statistical and methodological errors, suggesting that Bateman’s original experiment contains too much sampling bias for there to be any evidence of sexual selection. This study uses Bateman’s original method as a template, accounting for two fundamental flaws in his original experiments, (i) viability effects and (ii) a lack of mating behaviour observation. Experimental populations of <em>Drosophila melanogaster</em> consisted of wild-type focal individuals and non-focal individuals established by backcrossing the brown eye (<em>bw<sup>-</sup></em>) eye-colour marker. Mating assays included direct observation of mating behaviour and subsequently, total number of offspring were counted, to obtain measures of mating success, reproductive success, and standardised variance measures based on Bateman’s principle. The results provide observational support for Bateman’s principle, particularly that (i) males had significantly more variation in number of mates compared to females and (ii) males had significantly more individual variation in total number of offspring. We also find significantly steeper Bateman gradient for males compared to females, suggesting that sexual selection is operating more intensely in males. However, female remating was limited, providing the opportunity for future study to further explore female reproductive success in correlation with higher levels of remating.
DOI: 10.5281/zenodo.7729030
title: Evidence for stronger sexual selection in males than females using an adapted method of Bateman's classic study of Drosophila melanogaster

description: Bateman’s principle, originally a test of Darwin’s theoretical ideas, has since become fundamental to sexual selection theory and vital to contextualising the role of anisogamy and the operational sex ratio in sex differences in both reproductive competition and precopulatory sexual selection. Despite this, Bateman’s principle has received substantial criticism, and researchers have highlighted both statistical and methodological errors, suggesting that Bateman’s original experiment contains too much sampling bias for there to be any evidence of sexual selection. This study uses Bateman’s original method as a template, accounting for two fundamental flaws in his original experiments, (i) viability effects and (ii) a lack of mating behaviour observation. Experimental populations of <em>Drosophila melanogaster</em> consisted of wild-type focal individuals and non-focal individuals established by backcrossing the brown eye (<em>bw<sup>-</sup></em>) eye-colour marker. Mating assays included direct observation of mating behaviour and subsequently, total number of offspring were counted, to obtain measures of mating success, reproductive success, and standardised variance measures based on Bateman’s principle. The results provide observational support for Bateman’s principle, particularly that (i) males had significantly more variation in number of mates compared to females and (ii) males had significantly more individual variation in total number of offspring. We also find significantly steeper Bateman gradient for males compared to females, suggesting that sexual selection is operating more intensely in males. However, female remating was limited, providing the opportunity for future study to further explore female reproductive success in correlation with higher levels of remating.