cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2nsgmk
title: CCDC 2466379: Experimental Crystal Structure Determination

description: Related Article: Tingjun Hu, Coralie Duchemin, Camille Beluze, Didier Bouyssi, Julien C. Vantourout, Nuno Monteiro, Abderrahmane Amgoune|2026|Angew.Chem.,Int.Ed.|65|e18341|doi:10.1002/anie.202518341
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.cc2nsgnl
title: CCDC 2466380: Experimental Crystal Structure Determination

description: Related Article: Tingjun Hu, Coralie Duchemin, Camille Beluze, Didier Bouyssi, Julien C. Vantourout, Nuno Monteiro, Abderrahmane Amgoune|2026|Angew.Chem.,Int.Ed.|65|e18341|doi:10.1002/anie.202518341
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.cc2p011t
title: CCDC 2472685: Experimental Crystal Structure Determination

description: Related Article: Yang Li, Xue‐Ting Chang, Le Zhang, Guozan Yuan, Franz Ekkehardt Hahn, Ying‐Feng Han|2026|Angew.Chem.,Int.Ed.|65|e20814|doi:10.1002/anie.202520814
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.cc2nc9x8
title: CCDC 2453740: Experimental Crystal Structure Determination

description: Related Article: Shohei Ohno, Ramsey M. Goodner, Danielle N. Confair, Brandon Q. Mercado,  Jonathan A. Ellman|2025|ACS Catalysis|||doi:10.1021/acscatal.5c05961
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.18241537
title: Data for Corrosion and Erosion Centrifugal Pumps
DOI: 10.5281/zenodo.18241536
title: Data for Corrosion and Erosion Centrifugal Pumps
DOI: 10.15468/dl.nkcxrw
title: Occurrence Download

description: A dataset containing 549 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthurium consobrinum",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 549 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002508-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jnhczu
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cuba",
 "TaxonKey is Kryptolebias marmoratus"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002507-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18326961
title: Classification paradigm of open-world urban morphology and a benchmark

description: This dataset includes the evaluation code for the classification paradigm of open-world urban morphology, a benchmark dataset called urban morphotype benchmark, and the source data for the research article, Knowing unknown urban forms in the world: a knowledge-aware, data-driven approach.
DOI: 10.5281/zenodo.18326960
title: Classification paradigm of open-world urban morphology and a benchmark

description: This dataset includes the evaluation code for the classification paradigm of open-world urban morphology, a benchmark dataset called urban morphotype benchmark, and the source data for the research article, Knowing unknown urban forms in the world: a knowledge-aware, data-driven approach.
DOI: 10.6084/m9.figshare.31112881
title: Reactions of Sulfur Compounds with Ozone in Aqueous Solution

description: The aim of this paper was to shed some light on the mechanisms of ozone reactions with sulfur compounds. In thiolates and thiols, linear anionic and neutral trioxides, respectively, were formed in the first stage. The anionic trioxide could eliminate O<sub>2</sub>•<sup>–</sup> and <sup>1</sup>O<sub>2</sub>, and could lead to the formation of the corresponding sulfinic peracid anion. The neutral trioxide could release <sup>1</sup>O<sub>2</sub> and could form the corresponding sulfinic peracid. Sulfinic peracids and their anions resulted from the internal rearrangement of certain cyclic trioxides derived from linear trioxides. This study can serve as a starting point for identifying the products generated in systems involving thiolates/thiols and ozone. The reaction of ozone with sulfides leads to the formation of a neutral linear trioxide that eliminates <sup>1</sup>O<sub>2</sub> either directly or via a cyclic trioxide. Another reaction investigated was that between dimethyl sulfoxide (DMSO) and ozone. The mechanism proceeds through the formation of a linear trioxide, followed by the direct elimination of <sup>1</sup>O<sub>2</sub>. The temperature dependence of the second-order rate constant was determined as: kII=6.97⋅1011⋅e−  63000R⋅T M<sup>–1</sup>·s<sup>–1</sup>.
DOI: 10.6084/m9.figshare.31112881.v1
title: Reactions of Sulfur Compounds with Ozone in Aqueous Solution

description: The aim of this paper was to shed some light on the mechanisms of ozone reactions with sulfur compounds. In thiolates and thiols, linear anionic and neutral trioxides, respectively, were formed in the first stage. The anionic trioxide could eliminate O<sub>2</sub>•<sup>–</sup> and <sup>1</sup>O<sub>2</sub>, and could lead to the formation of the corresponding sulfinic peracid anion. The neutral trioxide could release <sup>1</sup>O<sub>2</sub> and could form the corresponding sulfinic peracid. Sulfinic peracids and their anions resulted from the internal rearrangement of certain cyclic trioxides derived from linear trioxides. This study can serve as a starting point for identifying the products generated in systems involving thiolates/thiols and ozone. The reaction of ozone with sulfides leads to the formation of a neutral linear trioxide that eliminates <sup>1</sup>O<sub>2</sub> either directly or via a cyclic trioxide. Another reaction investigated was that between dimethyl sulfoxide (DMSO) and ozone. The mechanism proceeds through the formation of a linear trioxide, followed by the direct elimination of <sup>1</sup>O<sub>2</sub>. The temperature dependence of the second-order rate constant was determined as: kII=6.97⋅1011⋅e−  63000R⋅T M<sup>–1</sup>·s<sup>–1</sup>.
DOI: 10.6084/m9.figshare.30929756
title: Relationship between spider traits and individual-based trophic networks attributes of <i>Neoscona oaxacensis</i> (Araneidae) webs in Mexican maize crops

description: Spiders are common generalist predators in agroecosystems, contributing to natural pest control through diverse trophic interactions. However, their trophic role depends on how individual traits influence prey selection and network structure. Using standardised transect walks, direct observation, and prey collection from webs, we investigated individual-based trophic networks of the orb-weaving spider <i>Neoscona oaxacensis</i> (Keyserling, 1864) (Araneae: Araneidae) in maize fields in Mexico, focusing on the influence of body size and web position on trophic structure. Spiders consumed a wide range of prey spanning nine orders and 65 taxa, with Coleoptera and Orthoptera dominating the diet. Notably, <i>N. oaxacensis</i> frequently preyed on <i>Sphenarium purpurascens</i> Charpentier, 1842 (Orthoptera: Pyrgomorphidae), a major maize pest, highlighting its potential agricultural importance. The interaction networks were sparsely connected, highly modular, and lacked nestedness, suggesting heterogeneous prey use among individuals, with groups of spiders focusing on small subsets of prey. Larger spiders had higher <i>betweenness centrality</i>, acting as more central nodes in the <i>metaweb</i>; whereas web height was linked to dietary specialisation, spiders from higher strata preyed upon fewer species, yet these prey were commonly shared across individuals, indicating a generalist feeding pattern. Overall, <i>N. oaxacensis</i> exhibited marked individual trophic heterogeneity, driven by morphological and spatial traits. The combination of low network connectivity, strong modularity, and trait-dependent prey use suggests that individual differentiation probably enhances the stability and functional resilience of trophic networks in agricultural landscapes.
DOI: 10.6084/m9.figshare.30929756.v1
title: Relationship between spider traits and individual-based trophic networks attributes of <i>Neoscona oaxacensis</i> (Araneidae) webs in Mexican maize crops

description: Spiders are common generalist predators in agroecosystems, contributing to natural pest control through diverse trophic interactions. However, their trophic role depends on how individual traits influence prey selection and network structure. Using standardised transect walks, direct observation, and prey collection from webs, we investigated individual-based trophic networks of the orb-weaving spider <i>Neoscona oaxacensis</i> (Keyserling, 1864) (Araneae: Araneidae) in maize fields in Mexico, focusing on the influence of body size and web position on trophic structure. Spiders consumed a wide range of prey spanning nine orders and 65 taxa, with Coleoptera and Orthoptera dominating the diet. Notably, <i>N. oaxacensis</i> frequently preyed on <i>Sphenarium purpurascens</i> Charpentier, 1842 (Orthoptera: Pyrgomorphidae), a major maize pest, highlighting its potential agricultural importance. The interaction networks were sparsely connected, highly modular, and lacked nestedness, suggesting heterogeneous prey use among individuals, with groups of spiders focusing on small subsets of prey. Larger spiders had higher <i>betweenness centrality</i>, acting as more central nodes in the <i>metaweb</i>; whereas web height was linked to dietary specialisation, spiders from higher strata preyed upon fewer species, yet these prey were commonly shared across individuals, indicating a generalist feeding pattern. Overall, <i>N. oaxacensis</i> exhibited marked individual trophic heterogeneity, driven by morphological and spatial traits. The combination of low network connectivity, strong modularity, and trait-dependent prey use suggests that individual differentiation probably enhances the stability and functional resilience of trophic networks in agricultural landscapes.
DOI: 10.6084/m9.figshare.31112914
title: A marginalized three-part interrupted time series regression model for proportional data

description: Interrupted time series (ITS) is often used to evaluate the effectiveness of a health policy intervention that accounts for the temporal dependence of outcomes. When the outcome of interest is a percentage or percentile, the data can be highly skewed, bounded in [0,1], and have many zeros or ones. A three-part Beta regression model is commonly used to separate zeros, ones, and positive values explicitly by three submodels. However, incorporating temporal dependence into the three-part Beta regression model is challenging. In this article, we propose a marginalized zero-one-inflated Beta time series model that captures the temporal dependence of outcomes through a copula and allows investigators to examine covariate effects on the marginal mean. We investigate its practical performance using simulation studies and apply the model to a real ITS study.
DOI: 10.6084/m9.figshare.31112914.v1
title: A marginalized three-part interrupted time series regression model for proportional data

description: Interrupted time series (ITS) is often used to evaluate the effectiveness of a health policy intervention that accounts for the temporal dependence of outcomes. When the outcome of interest is a percentage or percentile, the data can be highly skewed, bounded in [0,1], and have many zeros or ones. A three-part Beta regression model is commonly used to separate zeros, ones, and positive values explicitly by three submodels. However, incorporating temporal dependence into the three-part Beta regression model is challenging. In this article, we propose a marginalized zero-one-inflated Beta time series model that captures the temporal dependence of outcomes through a copula and allows investigators to examine covariate effects on the marginal mean. We investigate its practical performance using simulation studies and apply the model to a real ITS study.
DOI: 10.15468/dl.8m2aad
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cyperus cuspidatus",
 "Year 1960-2010"
 ]
}

 The dataset includes 29 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002509-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31112935
title: Driving under the influence of drugs: perceptions and attitudes of Chinese professional drivers

description: This study explored the status and causative factors of drug driving behavior among professional drivers in China, by examining their perceptions of impairment caused by legal and illegal drugs, attitudes toward police enforcement and legal regulation, and factors predicting the behavior. The current study recruited a sample of professional Liquefied Natural Gas (LNG) transport drivers completing a designed questionnaire. A total of 294 individuals, ranging in age between 19 and 58 years (<i>M</i> = 48.03, <i>SD</i> = 4.46) are engaged. Data were analyzed using ANOVA, Path Analysis, and Bayesian Network Learning. The participants rated illegal drugs as more dangerous than legal ones, of which the full list is provided in the online supplement. One-way ANOVA revealed significant differences in impairment ratings across legal drug categories (<i>p</i> &lt; .001), with alcohol (D1) perceived as the most impairing. Path Analysis identified that the perceived risk of drug driving (β = 0.26, <i>p</i> &lt; .001) and attitude toward legal supervision (β = 0.23, <i>p</i> &lt; .001) were significant direct predictors of self-reported drug driving behavior. Subsequently, the Bayesian Network model quantified this relationship, showing that drivers who perceived the highest level of risk had a substantially lower probability (31.6%) of engaging in drug driving. Two-thirds of respondents supported enhanced legal supervision for this issue. The findings highlight distinct perceptions and attitudes in this population, suggesting that targeted education and legal measures could effectively manage drug driving in the Chinese context.
DOI: 10.6084/m9.figshare.31112935.v1
title: Driving under the influence of drugs: perceptions and attitudes of Chinese professional drivers

description: This study explored the status and causative factors of drug driving behavior among professional drivers in China, by examining their perceptions of impairment caused by legal and illegal drugs, attitudes toward police enforcement and legal regulation, and factors predicting the behavior. The current study recruited a sample of professional Liquefied Natural Gas (LNG) transport drivers completing a designed questionnaire. A total of 294 individuals, ranging in age between 19 and 58 years (<i>M</i> = 48.03, <i>SD</i> = 4.46) are engaged. Data were analyzed using ANOVA, Path Analysis, and Bayesian Network Learning. The participants rated illegal drugs as more dangerous than legal ones, of which the full list is provided in the online supplement. One-way ANOVA revealed significant differences in impairment ratings across legal drug categories (<i>p</i> &lt; .001), with alcohol (D1) perceived as the most impairing. Path Analysis identified that the perceived risk of drug driving (β = 0.26, <i>p</i> &lt; .001) and attitude toward legal supervision (β = 0.23, <i>p</i> &lt; .001) were significant direct predictors of self-reported drug driving behavior. Subsequently, the Bayesian Network model quantified this relationship, showing that drivers who perceived the highest level of risk had a substantially lower probability (31.6%) of engaging in drug driving. Two-thirds of respondents supported enhanced legal supervision for this issue. The findings highlight distinct perceptions and attitudes in this population, suggesting that targeted education and legal measures could effectively manage drug driving in the Chinese context.
DOI: 10.6084/m9.figshare.29042137
title: Scooter accidents in the megacity of Istanbul: An analysis of orthopedic injury trends and characteristics from a level I trauma center

description: This study aimed to analyze orthopedic injury patterns and characteristics resulting from scooter accidents in Istanbul, Turkey, focusing on trends related to time, day, season, and demographic factors. We conducted a retrospective analysis of 375 patients treated for scooter-related injuries at a Level I trauma center in Istanbul. The study period spanned the years of 2018 to 2023. Injuries were categorized by body region and treatment types were analyzed, including the need for surgical intervention and associated costs. Seasonal and temporal patterns of injuries were examined with specific attention to peak admission times and days of the week. The study population consisted of 250 male (66.7%) and 125 female patients (33.3%), with a mean age of 22.6years. Most injuries were due to low-energy trauma (86.4%), with only 13.6% resulting from high-energy trauma. The majority of patients had upper extremity injuries (45.1%), followed by lower extremity injuries (26.9%). Fractures were present in 57% of cases with common injuries including hand-wrist fractures (17.1%) and elbow fractures (13.9%). Surgical intervention was required for 10.9% of these patients and the remainder were treated conservatively. The mean cost for patients with fractures was significantly higher for those requiring surgical treatment ($602.28) compared to conservative management ($36.49, <i>p</i>=0.001). A peak in admissions was identified at 8:00PM, with significant injury rates observed on Mondays, Thursdays, Saturdays, and Sundays. Increased admissions were observed from May to September, with July being the busiest month. From 2018 to 2021; there was a 250–350% increase in scooter injuries, followed by a decrease in 2022 and 2023. Our study reveals a notable trend of increased scooter-related orthopedic injuries in Istanbul, particularly during late afternoon and evening hours and on weekends. The seasonal peak in injuries supports the association between warmer weather and higher scooter use on holidays and days off. The observed increase in injuries followed by a more recent decline may reflect changes in mobility patterns due to the COVID-19 pandemic. These results highlight the need for targeted preventive measures and safety interventions during peak times and seasons to reduce scooter-related injuries in urban settings.
DOI: 10.6084/m9.figshare.29042137.v1
title: Scooter accidents in the megacity of Istanbul: An analysis of orthopedic injury trends and characteristics from a level I trauma center

description: This study aimed to analyze orthopedic injury patterns and characteristics resulting from scooter accidents in Istanbul, Turkey, focusing on trends related to time, day, season, and demographic factors. We conducted a retrospective analysis of 375 patients treated for scooter-related injuries at a Level I trauma center in Istanbul. The study period spanned the years of 2018 to 2023. Injuries were categorized by body region and treatment types were analyzed, including the need for surgical intervention and associated costs. Seasonal and temporal patterns of injuries were examined with specific attention to peak admission times and days of the week. The study population consisted of 250 male (66.7%) and 125 female patients (33.3%), with a mean age of 22.6years. Most injuries were due to low-energy trauma (86.4%), with only 13.6% resulting from high-energy trauma. The majority of patients had upper extremity injuries (45.1%), followed by lower extremity injuries (26.9%). Fractures were present in 57% of cases with common injuries including hand-wrist fractures (17.1%) and elbow fractures (13.9%). Surgical intervention was required for 10.9% of these patients and the remainder were treated conservatively. The mean cost for patients with fractures was significantly higher for those requiring surgical treatment ($602.28) compared to conservative management ($36.49, <i>p</i>=0.001). A peak in admissions was identified at 8:00PM, with significant injury rates observed on Mondays, Thursdays, Saturdays, and Sundays. Increased admissions were observed from May to September, with July being the busiest month. From 2018 to 2021; there was a 250–350% increase in scooter injuries, followed by a decrease in 2022 and 2023. Our study reveals a notable trend of increased scooter-related orthopedic injuries in Istanbul, particularly during late afternoon and evening hours and on weekends. The seasonal peak in injuries supports the association between warmer weather and higher scooter use on holidays and days off. The observed increase in injuries followed by a more recent decline may reflect changes in mobility patterns due to the COVID-19 pandemic. These results highlight the need for targeted preventive measures and safety interventions during peak times and seasons to reduce scooter-related injuries in urban settings.