cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31169257.v1
title: QSP sequence data

description: Deep sea metagenome mining using Quorum sensing related protein (QSP) database done for deep sea sediment samples collected from Arabian sea, India. Annotated QSP sequences of the deep sea metagenome deposited as dataset.
DOI: 10.5517/ccdc.csd.cc2ftnzx
title: CCDC 2259000: Experimental Crystal Structure Determination

description: Related Article: Xue Da, Wang Xiao-Jun, Xu Zi-Shuai, Wang Shou-Fei, Li Yong-Xiang, Liu Wei, Cao Duan-Lin|2023|Hanneng Cailiao|31|1090|doi:10.11943/CJEM2023108
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.cc2gg7x3
title: CCDC 2277815: Experimental Crystal Structure Determination

description: Related Article: A. M. Khabibrakhmanova, R. G. Faizova, D. P. Gerasimova, E. Y. Trizna, O. A. Lodochnikova, A. R. Kayumov, L. Z. Latypova, A. R. Kurbangalieva|2024|Uch. Zap. Kazan. Univ., Ser. Estestv. Nauki|166|563|doi:10.26907/2542-064X.2024.4.563-589
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: 10.5061/dryad.g79cnp5tq
title: antGait program file for speed estimation of ants and ant tracking data

description: This is the MATLAB code containg the method of ant speed estimation based
 on the gait pattern of ants. It also contains the dataset of recorded ant
 trajectories, artificial noise applied to the trajectories, and the
 simulated trajectory analysis results.
description: MATLAB is required to run this program. The manual is
 included.
description: # antGait Readme file This is the MATLAB code containing the method of ant
 speed estimation based on the gait pattern of ants. It also contains the
 dataset of recorded ant trajectories, artificial noise applied to the
 trajectories, and the simulated trajectory analysis results. ##
 Description of the Data and File Structure The user needs to have MATLAB
 R2021a or later versions to use antGait. By executing antGait\_1.mlapp, a
 user can open antGait. There are 3 example trails in the Excel file
 format. This app can be run by MATLAB App Designer. The manual is
 included. The dataset (Data.zip) contains the genuine trajectory data of
 ants, simulation data, and estimates from the trajectories with noise. The
 data interpretation guide is included. ## File List and Description *
 antGait\_1.mlapp: MATLAB app file * antGait\_Manual.pdf: antGait manual *
 antint\_interval\_det\_app.m: MATLAB file necessary to run antGait *
 antint\_Vc\_det\_app.m: MATLAB file necessary to run antGait *
 antint14\_app.m: MATLAB file necessary to run antGait * black\_back.PNG:
 Image file necessary for antGait * CoordAnlaysis\_for\_App.m: MATLAB file
 necessary to run antGait * Fit\_code\_for\_App.m: MATLAB file necessary to
 run antGait * Index\_get\_mkS2\_app.m: MATLAB file necessary to run
 antGait * Large\_Icon.PNG: Image file necessary for antGait *
 R\_empi\_v4.m: MATLAB file necessary to run antGait *
 Trail\_example\_1.xlsx: Example trajectory data for antGait *
 Trail\_example\_2.xlsx: Example trajectory data for antGait *
 Trail\_example\_3.xlsx: Example trajectory data for antGait * Vfit.m:
 MATLAB file necessary to run antGait * Data.zip: The compressed folder
 containing the experimental results and simulation results. The folder
 contains the following dataset: * Genuine trajectory data: The coordinates
 of high-fidelity trajectories of ants * Estimates from the trajectories
 with noise: The estimated speed with different methods derived from the
 ant trajectory on which artificial noise was applied * Simulation data:
 The estimated speed and the corresponding accuracy of simulated
 trajectories with different methods * Data Interpretation Guide.docx: The
 guide to interpret the dataset
DOI: 10.5517/ccdc.csd.cc2gg7y4
title: CCDC 2277816: Experimental Crystal Structure Determination

description: Related Article: A. M. Khabibrakhmanova, R. G. Faizova, D. P. Gerasimova, E. Y. Trizna, O. A. Lodochnikova, A. R. Kayumov, L. Z. Latypova, A. R. Kurbangalieva|2024|Uch. Zap. Kazan. Univ., Ser. Estestv. Nauki|166|563|doi:10.26907/2542-064X.2024.4.563-589
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.cc2gg7z5
title: CCDC 2277817: Experimental Crystal Structure Determination

description: Related Article: A. M. Khabibrakhmanova, R. G. Faizova, D. P. Gerasimova, E. Y. Trizna, O. A. Lodochnikova, A. R. Kayumov, L. Z. Latypova, A. R. Kurbangalieva|2024|Uch. Zap. Kazan. Univ., Ser. Estestv. Nauki|166|563|doi:10.26907/2542-064X.2024.4.563-589
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.cc2gg807
title: CCDC 2277818: Experimental Crystal Structure Determination

description: Related Article: A. M. Khabibrakhmanova, R. G. Faizova, D. P. Gerasimova, E. Y. Trizna, O. A. Lodochnikova, A. R. Kayumov, L. Z. Latypova, A. R. Kurbangalieva|2024|Uch. Zap. Kazan. Univ., Ser. Estestv. Nauki|166|563|doi:10.26907/2542-064X.2024.4.563-589
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.cc2glb3j
title: CCDC 2281727: Experimental Crystal Structure Determination

description: Related Article: Zhanhui He, Li Yang, Menghang Zhou, Yue Zhong, Zheng Liu, Ziao Zhang, Feiyang Xia, Xuezhe Deng, Shuang Yan, Cheng Xu, Cheng Zhang, Guodong Yin|2026|Chemical Science|||doi:10.1039/d5sc08209a
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: 10.5061/dryad.vt4b8gtwt
title: Data for: Interactions between environmental factors drive selection on cyanogenesis in Trifolium repens

description: Phenotypic and genetic clines frequently evolve due to varying selection
 along environmental gradients. However, the specific environmental factors
 that impose differential selection are often multivariate and difficult to
 tease apart. We addressed this complexity using a factorial manipulation
 of watering, soil nutrients, and (simulated) herbivory in controlled
 conditions to better understand the agents of selection driving the
 evolution of clines in a polymorphic chemical antiherbivore defence,
 hydrogen cyanide (HCN), of the plant white clover (Trifolium repens L.).
 We found the presence or absence of the two metabolic components required
 for HCN production (cyanogenic glucosides and linamarase) to be more
 prominent determinants of vegetative growth and sexual reproduction in T.
 repens than HCN itself. We also found that the ability to produce one or
 both of cyanogenic glucosides or linamarase resulted in a growth advantage
 under drought and simulated herbivory that outweighs the metabolic cost of
 their production. These results support the view that the metabolic
 components underlying HCN play important roles beyond defence by
 increasing plant tolerance to stress. The growth advantage under drought,
 however, was diminished in the absence of nutrient addition, consistent
 with multivariate interactions as drivers of selection. This study
 provides novel insight into how a cosmopolitan plant has adapted to
 environmental gradients, and more generally, highlights the importance of
 considering interactions between multiple environmental factors when
 studying the evolution of phenotypic and genetic clines.
description: This dataset was collected through a greenhouse experiment
 conducted from October 2019-January 2020. The purpose of this experiment
 was to assess the impact of soil moisture, soil nutrients, and herbivory
 as drivers of selection at two loci involved in chemical defense
 production in white clover (Trifolium repens). Explanatory variables
 include: Moisture, Nutrients, Herbivory (simulated), and Cyanotype (refers
 to the hydrogen cyanide plant defence phenotype). Response variables
 include: Whether or not plants flowered, Whether or not plants produced
 seeds, Number of flower heads, Seed set mass, Plant dry biomass, and
 Average percentage of leaf surface area damaged by herbivores.
description: R/RStudio and Excel (or open-source equivalent, such as Google
 Sheets) are required to open and use these data files.
DOI: 10.5517/ccdc.csd.cc2gzk89
title: CCDC 2293481: Experimental Crystal Structure Determination

description: Related Article: Fengqi Zhang, Yongsheng Yang, Tingting Lu, Ke Hu, Zhen Zhao|2026|Inorg.Chem.Front.|||doi:10.1039/d5qi02419f
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.cc2gskg9
title: CCDC 2287721: Experimental Crystal Structure Determination

description: Related Article: Jiantao Yuan, Zhikai Qi, Jian Zhang, Nan Zhang, Xian-Ming Zhang|2024|Laser Photonics Rev.|18|2301264|doi:10.1002/lpor.202301264
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.cc2gskhb
title: CCDC 2287722: Experimental Crystal Structure Determination

description: Related Article: Jiantao Yuan, Zhikai Qi, Jian Zhang, Nan Zhang, Xian-Ming Zhang|2024|Laser Photonics Rev.|18|2301264|doi:10.1002/lpor.202301264
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: 10.17632/bcd9m5bw7w
title: Performance Evaluation of Local Eco-friendly Adsorbents for Food Industry Effluent Treatment: A Case Study from Gujarat, India

description: This study presents a comprehensive performance evaluation of traditional chemical and sustainable, eco-friendly treatment protocols for managing high-strength wastewater from the food processing sector in Anand, Gujarat, India. The primary objective was to establish a baseline physicochemical profile and identify cost-effective remediation strategies that minimize the financial burden on small-to-medium enterprises (SMEs) while maintaining environmental compliance. Raw effluent was collected via grab sampling from a functional food processing unit. To ensure data integrity, immediate on-site fixation of initial Dissolved Oxygen (DO) was performed using 300ml BOD bottles, and samples were transported in airtight containers at 4 degree C. Laboratory analyses adhered to APHA, FSSAI, and Indian Standards (IS), evaluating 12 critical parameters across physical, chemical, and nutrient categories. The research evaluated three distinct treatment methodologies: Basic chemical treatment utilizing varying dosages of Lime and Alum (Aluminum Sulfate) to monitor reductions in TSS, COD, and BOD; Advanced chemical-polymer treatment incorporating Polyacrylamide (PAM) as a flocculant to enhance sedimentation of smaller particles into heavier masses; Sustainable adsorption utilizing locally sourced pyrolyzed coconut husk and wood chip waste. Pyrolysis enhances the surface area and microporosity of these materials, transforming them into effective bio-adsorbents. The dataset confirms significant pollutant reduction efficiencies of 40–90% across all treatments. Notably, eco-friendly adsorbents demonstrated high prowess in lowering nutrient levels, such as Phosphates. Advanced statistical tools, including correlation matrices and bubble graphs, were integrated to provide "at-a-glance" interpretations of treatment success and inter-pollutant relationships. By demonstrating that pyrolyzed agricultural waste can effectively compete with industrial chemicals, this study fosters a shift toward Sustainable Wastewater Management. It offers a critical resource for environmental engineers and policymakers, providing a clear pathway to reduce both the financial burden on industries and the chemical sludge footprint generated by traditional treatments. The empirical evidence confirms that environmentally safe methods are not only feasible but highly effective for treating complex industrial effluents.
DOI: 10.5517/ccdc.csd.cc2gskjc
title: CCDC 2287723: Experimental Crystal Structure Determination

description: Related Article: Jiantao Yuan, Zhikai Qi, Jian Zhang, Nan Zhang, Xian-Ming Zhang|2024|Laser Photonics Rev.|18|2301264|doi:10.1002/lpor.202301264
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.cc2gskkd
title: CCDC 2287724: Experimental Crystal Structure Determination

description: Related Article: Jiantao Yuan, Zhikai Qi, Jian Zhang, Nan Zhang, Xian-Ming Zhang|2024|Laser Photonics Rev.|18|2301264|doi:10.1002/lpor.202301264
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.cc2h5nmz
title: CCDC 2299351: Experimental Crystal Structure Determination

description: Related Article: Alena V. Zalaltdinova, Yulia M. Sadykova, Almir S. Gazizov, Atabek K. Smailov, Victor V. Syakaev, Daria P. Gerasimova, Elena A. Chugunova, Nurgali I. Akylbekov, Rakhmetulla U. Zhapparbergenov, Nurbol O. Appazov, Alexander R. Burilov, Michail A. Pudovik, Igor V. Alabugin, Oleg G. Sinyashin
|2024|Int.J.Mol.Sci.|25|6327|doi:10.3390/ijms25126327
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.cc2h5nn0
title: CCDC 2299352: Experimental Crystal Structure Determination

description: Related Article: Alena V. Zalaltdinova, Yulia M. Sadykova, Almir S. Gazizov, Atabek K. Smailov, Victor V. Syakaev, Daria P. Gerasimova, Elena A. Chugunova, Nurgali I. Akylbekov, Rakhmetulla U. Zhapparbergenov, Nurbol O. Appazov, Alexander R. Burilov, Michail A. Pudovik, Igor V. Alabugin, Oleg G. Sinyashin
|2024|Int.J.Mol.Sci.|25|6327|doi:10.3390/ijms25126327
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: 10.17632/bcd9m5bw7w.1
title: Performance Evaluation of Local Eco-friendly Adsorbents for Food Industry Effluent Treatment: A Case Study from Gujarat, India

description: This study presents a comprehensive performance evaluation of traditional chemical and sustainable, eco-friendly treatment protocols for managing high-strength wastewater from the food processing sector in Anand, Gujarat, India. The primary objective was to establish a baseline physicochemical profile and identify cost-effective remediation strategies that minimize the financial burden on small-to-medium enterprises (SMEs) while maintaining environmental compliance. Raw effluent was collected via grab sampling from a functional food processing unit. To ensure data integrity, immediate on-site fixation of initial Dissolved Oxygen (DO) was performed using 300ml BOD bottles, and samples were transported in airtight containers at 4 degree C. Laboratory analyses adhered to APHA, FSSAI, and Indian Standards (IS), evaluating 12 critical parameters across physical, chemical, and nutrient categories. The research evaluated three distinct treatment methodologies: Basic chemical treatment utilizing varying dosages of Lime and Alum (Aluminum Sulfate) to monitor reductions in TSS, COD, and BOD; Advanced chemical-polymer treatment incorporating Polyacrylamide (PAM) as a flocculant to enhance sedimentation of smaller particles into heavier masses; Sustainable adsorption utilizing locally sourced pyrolyzed coconut husk and wood chip waste. Pyrolysis enhances the surface area and microporosity of these materials, transforming them into effective bio-adsorbents. The dataset confirms significant pollutant reduction efficiencies of 40–90% across all treatments. Notably, eco-friendly adsorbents demonstrated high prowess in lowering nutrient levels, such as Phosphates. Advanced statistical tools, including correlation matrices and bubble graphs, were integrated to provide "at-a-glance" interpretations of treatment success and inter-pollutant relationships. By demonstrating that pyrolyzed agricultural waste can effectively compete with industrial chemicals, this study fosters a shift toward Sustainable Wastewater Management. It offers a critical resource for environmental engineers and policymakers, providing a clear pathway to reduce both the financial burden on industries and the chemical sludge footprint generated by traditional treatments. The empirical evidence confirms that environmentally safe methods are not only feasible but highly effective for treating complex industrial effluents.
DOI: 10.5517/ccdc.csd.cc2h8cqw
title: CCDC 2301958: Experimental Crystal Structure Determination

description: Related Article: Janine Blignaut, Hendrik G. Visser, Eleanor Fourie, Marietjie Schutte-Smith|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04993
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.cc2h8djq
title: CCDC 2301983: Experimental Crystal Structure Determination

description: Related Article: Janine Blignaut, Hendrik G. Visser, Eleanor Fourie, Marietjie Schutte-Smith|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04993
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.cc2h9sxj
title: CCDC 2303328: Experimental Crystal Structure Determination

description: Related Article: Kamel Landolsi, Wissal Ghabi, Fraj Echouchene, Sonia Taamalli, Florent Louis, Necmi Dege, Abdullah Bajahzar, Hafedh Belmabrouk|2026|Chem. Sel.|11|e04587|doi:10.1002/slct.202504587
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.cc2hmlyp
title: CCDC 2312753: Experimental Crystal Structure Determination

description: Related Article: Ganeshkumar Palanisami, Theivarasu Chinniagounder|2026|J.Mol.Struct.|1359||doi:10.1016/j.molstruc.2026.145383
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: 10.5061/dryad.v15dv420s
title: Density-habitat relationships of white-tailed deer (Odocoileus virginianus) in Finland

description: In heterogeneous landscapes, resource selection constitutes a crucial link
 between landscape and population-level processes such as density. We
 conducted a non-invasive genetic study of white-tailed deer in southern
 Finland in 2016 and 2017 using fecal DNA samples to understand factors
 influencing white-tailed deer density and space use in late summer prior
 to the hunting season. We estimated deer density as a function of
 landcover types using a spatial capture-recapture (SCR) model with
 individual identities established using microsatellite markers. The study
 revealed second-order habitat selection with highest deer densities in
 fields and mixed forest, and third-order habitat selection (detection
 probability) for transitional woodlands (clear-cuts) and closeness to
 fields. Including landscape heterogeneity improved model fit and increased
 inferred total density compared with models assuming a homogenous
 landscape. Our findings underline the importance of including habitat
 covariates when estimating density and exemplifies that resource selection
 can be studied using non-invasive methods.