cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8chk8vdn2z.2
title: Road Anomaly Detection

description: Please Cited paper. A fusion approach of YOLOv8 and CNN-Transformer for End-to-End Road anomaly detection
DOI: https://doi.org/10.1038/s41598-025-29718-4
Abstract: 
Surveillance cameras are common in both the private and public sectors for security and monitoring, and closed-circuit television (CCTV) systems are used for surveillance, generating large amounts of video data that cannot be manually monitored 24/7. The traditional approach to analysis is time-consuming and inefficient, and there is a growing need for automated surveillance systems that can recognize and classify anomalies. The research area that has been the most challenging to solve is AD systems that detect anomalies in data that is not structured according to the normal patterns. RNNs are slow and have difficulty identifying anomalies in the road that occur in multiple frames at the same time, whereas CNNs are limited in extracting temporal features from objects and generally disregard the background noise in video frames. In this study, a new framework for background removal is presented that removes the irrelevant background elements during object recognition.
DOI: 10.5517/ccdc.csd.cc28f5sp
title: CCDC 2098042: Experimental Crystal Structure Determination

description: Related Article: Haixia Cui, Wanjiao Li, Qianxi Li, Shaolong Wang, Mingye Zhu, Yongjing Deng, Shujuan Liu, Qiang Zhao|2026|Light Sci Appl|15|88|doi:10.1038/s41377-025-02152-x
description: Related Article: Dong-Yang Li, Yu Cheng, Yu-Han Hou, Jun-Hua Song, Chuan-Ju Sun, Cheng-Yang Yue, Zhi-Hong Jing, Xiao-Wu Lei|2022|J.Mater.Chem.C|10|3746|doi:10.1039/D1TC05807J
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.cc2k5vwh
title: CCDC 2359127: Experimental Crystal Structure Determination

description: Related Article: Christopher M. Pask, Alexander N. Kulak, Malcolm A. Halcrow|2024|Eur.J.Inorg.Chem.|27|e202400334|doi:10.1002/ejic.202400334
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.cc2l7fw5
title: CCDC 2390437: Experimental Crystal Structure Determination

description: Related Article: Fengcai Li, Jiaqi Fu, Ziyun Chen, Wenjing Liang, Hui Cang, Guanglong Zhang|2026|J.Mol.Struct.|1353|144653|doi:10.1016/j.molstruc.2025.144653
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.cc2l868c
title: CCDC 2391162: Experimental Crystal Structure Determination

description: Related Article: Chenghui Zeng|2025|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.cc2l869d
title: CCDC 2391163: Experimental Crystal Structure Determination

description: Related Article: Ziyan Cai, Peng Liu, Yuanhong Cheng, Xiaolei Gao, Yifeng Zhou, Jiannian Yao, Chenghui Zeng|2025|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.cc2l86bf
title: CCDC 2391164: Experimental Crystal Structure Determination

description: Related Article: Ziyan Cai, Peng Liu, Yuanhong Cheng, Xiaolei Gao, Yifeng Zhou, Jiannian Yao, Chenghui Zeng|2025|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.cc2l8vmc
title: CCDC 2391793: Experimental Crystal Structure Determination

description: Related Article: Jie Hu, Shengjie Su, Haodong Zhang, Haohao An, Yunrong Chen, Hegui Gong|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c11836
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: 10.15468/dl.4stfmt
title: Occurrence Download

description: A dataset listing the 192 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((3.42924 43.28954,3.42779 43.29244,3.43895 43.29869,3.43895 43.30047,3.44073 43.30204,3.44386 43.31743,3.44207 43.31855,3.44319 43.32469,3.43649 43.32948,3.4327 43.32837,3.41273 43.33294,3.41228 43.33662,3.40626 43.34053,3.38919 43.34031,3.37747 43.33238,3.38986 43.32535,3.40113 43.31152,3.4076 43.28876,3.40815 43.28731,3.42924 43.28954))",
 "TaxonKey is Insecta"
 ]
}

 The dataset's 192 records were derived from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007837-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2lbp9y
title: CCDC 2393550: Experimental Crystal Structure Determination

description: Related Article: Jie Hu, Shengjie Su, Haodong Zhang, Haohao An, Yunrong Chen, Hegui Gong|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c11836
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.cc2lpx18
title: CCDC 2404330: Experimental Crystal Structure Determination

description: Related Article: CUI Haixia|2025|CSD Communication|||
description: Related Article: Haixia Cui, Wanjiao Li, Qianxi Li, Shaolong Wang, Mingye Zhu, Yongjing Deng, Shujuan Liu, Qiang Zhao|2026|Light Sci Appl|15|88|doi:10.1038/s41377-025-02152-x
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.cc2md3z4
title: CCDC 2424726: Experimental Crystal Structure Determination

description: Related Article: Bien-Thuy Bui Nguyen, Yuh-Chiang Shen, Chia-Ching Liaw, Chih-Hua Chao, Quoc-Dung Tran Huynh, Duy-Hien Tran, Thanh-Hoa Vo, Quang-Trung Vo, Hoang-Hao Nguyen, I-Wen Lo, Hui-Chi Huang, Mei-Chuan Chen, Yu-Chi Lin|2026|J.Nat.Prod.|||doi:10.1021/acs.jnatprod.5c01404
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.cc2md406
title: CCDC 2424727: Experimental Crystal Structure Determination

description: Related Article: Bien-Thuy Bui Nguyen, Yuh-Chiang Shen, Chia-Ching Liaw, Chih-Hua Chao, Quoc-Dung Tran Huynh, Duy-Hien Tran, Thanh-Hoa Vo, Quang-Trung Vo, Hoang-Hao Nguyen, I-Wen Lo, Hui-Chi Huang, Mei-Chuan Chen, Yu-Chi Lin|2026|J.Nat.Prod.|||doi:10.1021/acs.jnatprod.5c01404
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.cc2md45c
title: CCDC 2424732: Experimental Crystal Structure Determination

description: Related Article: Bien-Thuy Bui Nguyen, Yuh-Chiang Shen, Chia-Ching Liaw, Chih-Hua Chao, Quoc-Dung Tran Huynh, Duy-Hien Tran, Thanh-Hoa Vo, Quang-Trung Vo, Hoang-Hao Nguyen, I-Wen Lo, Hui-Chi Huang, Mei-Chuan Chen, Yu-Chi Lin|2026|J.Nat.Prod.|||doi:10.1021/acs.jnatprod.5c01404
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.cc2md5ks
title: CCDC 2424775: Experimental Crystal Structure Determination

description: Related Article: Yuan Han, Linhui Jia, Xiaowei Cheng, Zhijia Hao, Peizhou Li, Shiyu Sun, Baoshu Liu, Hua Sun|2026|Chem.Eng.Sci.|321||doi:10.1016/j.ces.2025.123020
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.cc26c581
title: CCDC 2036522: Experimental Crystal Structure Determination

description: Related Article: Xuanzi Ye, Xin Jin, Kaiyue Jiang, Xiaobin Fu, Feng Qiu, Junbo Hou, Changchun Ke, Yu Chen, Xiaodong Zhuang|2025|ChemistryEurope|3|e202500101|doi:10.1002/ceur.202500101
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.cc2mdj3p
title: CCDC 2425102: Experimental Crystal Structure Determination

description: Related Article: Kang Ding, Jing‐Jing Xue, Jia‐Xin Zou, Qing‐Wei Zhang, Bo Su|2026|Angew.Chem.,Int.Ed.|65|e22534|doi:10.1002/anie.202522534
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.cc2mn2t6
title: CCDC 2432378: Experimental Crystal Structure Determination

description: Related Article: Huiqun Zheng, Ziqiao Wu, Jun Shao, Jing Lan, Yulin Liu, Hui Xiong, Jiandong Fan, Wenzhe Li|2025|Adv.Funct.Mater.|35|e13402|doi:10.1002/adfm.202513402
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.cc2mn2v7
title: CCDC 2432379: Experimental Crystal Structure Determination

description: Related Article: Huiqun Zheng, Ziqiao Wu, Jun Shao, Jing Lan, Yulin Liu, Hui Xiong, Jiandong Fan, Wenzhe Li|2025|Adv.Funct.Mater.|35|e13402|doi:10.1002/adfm.202513402
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.cc2mn2w8
title: CCDC 2432380: Experimental Crystal Structure Determination

description: Related Article: Huiqun Zheng, Ziqiao Wu, Jun Shao, Jing Lan, Yulin Liu, Hui Xiong, Jiandong Fan, Wenzhe Li|2025|Adv.Funct.Mater.|35|e13402|doi:10.1002/adfm.202513402
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.cc2mn2x9
title: CCDC 2432381: Experimental Crystal Structure Determination

description: Related Article: Huiqun Zheng, Ziqiao Wu, Jun Shao, Jing Lan, Yulin Liu, Hui Xiong, Jiandong Fan, Wenzhe Li|2025|Adv.Funct.Mater.|35|e13402|doi:10.1002/adfm.202513402
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/x7m73syvc8
title: How L2 Teachers Identify and Respond to GenAI-Generated Essays: A Sensemaking Theory Investigation

description: This table contains the quantitative questionnaire data from the survey-experiment component of our mixed-methods manuscript on CSL/L2 teachers’ identification of GenAI-generated essays. In the questionnaire phase, 238 in-service teachers with experience in Chinese writing instruction completed an online task in which they judged the source of 12 essays one-by-one (four student-written and eight GenAI-generated). 
The student essays were sampled from the HSK Dynamic Composition Corpus (Advanced level) and selected to cover score bands 2–5 on the same writing topic; the GenAI essays were generated by two mainstream models (ChatGPT-5.1 and DeepSeekV3.2) using a standardized prompt template. 
Teachers provided a binary label (GenAI-generated vs. student-written) and briefly explained the basis for each decision. 
Hypothesis: because authorship identification is an equivocal, high-uncertainty task (especially in CSL writing), teachers’ classifications will be cue-driven and only modestly accurate overall, and accuracy will be shaped more by teachers’ GenAI use proficiency and by text/model characteristics than by teaching seniority. The results align with this hypothesis: overall identification accuracy is close to chance (47.72%); teaching experience does not significantly improve performance; but teachers with high GenAI proficiency achieve significantly higher accuracy than other groups, and accuracy differs across score bands. 
At the model level, teachers identify DeepSeek-generated essays more accurately than GPT-generated essays, suggesting different models can vary in “indistinguishability.” 
Notable findings and interpretation: teachers most frequently justify decisions with learner-typical error cues and with “GenAI-like” quality/style cues (e.g., overly neat structure, overly clear logic, overly fluent style), plus references to personal experience details as authenticity signals. 
Analytically, the table can be used to compute accuracy and error rates (overall, by model, and by band), test predictors using teacher background variables, and code rationales to quantify cue usage and relate cue profiles to correct/incorrect judgments—supporting transparent reuse and replication.
DOI: 10.17632/x7m73syvc8.1
title: How L2 Teachers Identify and Respond to GenAI-Generated Essays: A Sensemaking Theory Investigation

description: This table contains the quantitative questionnaire data from the survey-experiment component of our mixed-methods manuscript on CSL/L2 teachers’ identification of GenAI-generated essays. In the questionnaire phase, 238 in-service teachers with experience in Chinese writing instruction completed an online task in which they judged the source of 12 essays one-by-one (four student-written and eight GenAI-generated). 
The student essays were sampled from the HSK Dynamic Composition Corpus (Advanced level) and selected to cover score bands 2–5 on the same writing topic; the GenAI essays were generated by two mainstream models (ChatGPT-5.1 and DeepSeekV3.2) using a standardized prompt template. 
Teachers provided a binary label (GenAI-generated vs. student-written) and briefly explained the basis for each decision. 
Hypothesis: because authorship identification is an equivocal, high-uncertainty task (especially in CSL writing), teachers’ classifications will be cue-driven and only modestly accurate overall, and accuracy will be shaped more by teachers’ GenAI use proficiency and by text/model characteristics than by teaching seniority. The results align with this hypothesis: overall identification accuracy is close to chance (47.72%); teaching experience does not significantly improve performance; but teachers with high GenAI proficiency achieve significantly higher accuracy than other groups, and accuracy differs across score bands. 
At the model level, teachers identify DeepSeek-generated essays more accurately than GPT-generated essays, suggesting different models can vary in “indistinguishability.” 
Notable findings and interpretation: teachers most frequently justify decisions with learner-typical error cues and with “GenAI-like” quality/style cues (e.g., overly neat structure, overly clear logic, overly fluent style), plus references to personal experience details as authenticity signals. 
Analytically, the table can be used to compute accuracy and error rates (overall, by model, and by band), test predictors using teacher background variables, and code rationales to quantify cue usage and relate cue profiles to correct/incorrect judgments—supporting transparent reuse and replication.
DOI: 10.15468/dl.577p3p
title: Occurrence Download

description: A dataset containing 12901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dactylorhiza incarnata, Dactylorhiza incarnata, Dactylorhiza ochroleuca, Dactylorhiza ochroleuca, Orchis incarnata, Orchis incarnata, Orchis incarnata, Orchis strictifolia, Orchis ochroleuca, Orchis ochroleuca, Orchis ochroleuca, Orchis ochroleuca, Orchis ochroleuca)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 12901 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007864-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hy73qj
title: Occurrence Download

description: A dataset containing 4375581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Butterfly distribution records for the UK from Butterfly Conservation, up to 2019",
 "TaxonKey is Pieridae",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 4375581 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007849-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zv5dkhw2k2
title: Magnetic data for alpine lakes

description: The major environmental magnetic parameters for two alpine lakes in China.
DOI: 10.17632/zv5dkhw2k2.1
title: Magnetic data for alpine lakes

description: The major environmental magnetic parameters for two alpine lakes in China.
DOI: 10.17632/s5w3cztdzh
title: IGF2BP3 promotes head and neck squamous cell carcinoma progression
DOI: 10.17632/s5w3cztdzh.1
title: IGF2BP3 promotes head and neck squamous cell carcinoma progression
DOI: 10.15468/dl.yrmqx6
title: Occurrence Download

description: A dataset containing 33413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dactylorhiza fuchsii, Dactylorhiza maculata, Orchis fuchsii, Dactylorchis fuchsii)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 33413 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007865-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8j5wxrnxgj
title: ART与β-hCG
DOI: 10.17632/8j5wxrnxgj.1
title: ART与β-hCG