cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2phhf4
title: CCDC 2487546: Experimental Crystal Structure Determination

description: Related Article: Sheng-Jie Shi, Xu-Liang Liu, Lin Yang, De-Sheng Zhan, Lin-Hai Chen, Jian-Peng Yin, Fa-Jun Nan|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04234
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: 10.57702/jw6f43az
title: SDXL-ControlNet

description: Text-to-image dataset with conditional control
DOI: 10.5517/ccdc.csd.cc2phhg5
title: CCDC 2487547: Experimental Crystal Structure Determination

description: Related Article: Sheng-Jie Shi, Xu-Liang Liu, Lin Yang, De-Sheng Zhan, Lin-Hai Chen, Jian-Peng Yin, Fa-Jun Nan|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04234
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: 10.57702/gxnw7kwe
title: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning

description: Parameter-efficient fine-tuning for natural language understanding tasks
DOI: 10.5517/ccdc.csd.cc2phhh6
title: CCDC 2487548: Experimental Crystal Structure Determination

description: Related Article: Sheng-Jie Shi, Xu-Liang Liu, Lin Yang, De-Sheng Zhan, Lin-Hai Chen, Jian-Peng Yin, Fa-Jun Nan|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04234
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.cc2phhj7
title: CCDC 2487549: Experimental Crystal Structure Determination

description: Related Article: Sheng-Jie Shi, Xu-Liang Liu, Lin Yang, De-Sheng Zhan, Lin-Hai Chen, Jian-Peng Yin, Fa-Jun Nan|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04234
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.cc2phlvn
title: CCDC 2487652: Experimental Crystal Structure Determination

description: Related Article: Gang Wang, Jianpeng Du, Jian Liu, Jiangtao Li, Xiaohua Wang, Lin Zhang, Yalan Feng, Minglan Ma|2025|Tetrahedron|191||doi:10.1016/j.tet.2025.135098
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.cc2phtdf
title: CCDC 2487855: Experimental Crystal Structure Determination

description: Related Article: Saurabh S. Satpute, Clayton T. West, Hannah C. Wendlandt, Ryan S. Storteboom, Amol M. Vibhute, Serhii Vasylevskyi, Cassandra E. Callmann, Kami L. Hull|2025|J.Org.Chem.|||doi:10.1021/acs.joc.5c02524
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: 10.57702/jy5080i6
title: HyperNeRF

description: A dataset for dynamic scene reconstruction, including monocular images and camera poses.
DOI: 10.5517/ccdc.csd.cc2phycj
title: CCDC 2487978: Experimental Crystal Structure Determination

description: Related Article: Ruiyan Dai, Li Zhang, Haoyang Long, Dongnan Tu, Chuanlang Zhan|2026|Colloids and Surfaces A: Physicochemical and Engineering Aspects|732||doi:10.1016/j.colsurfa.2025.139198
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: 10.57702/xoh3frym
title: MPQA Dataset

description: The MPQA dataset contains 10,606 opinions, and each of them is labeled as Objective or Subjective.
DOI: 10.57702/ddjs9lwv
title: EigenWorms dataset

description: The EigenWorms dataset contains 259 worm samples with very long sequences (length N = 17984) in this dataset, which are then divided into train, validation and test sets.
DOI: 10.57702/owm68nti
title: Oxford Radar RobotCar dataset

description: The Oxford Radar RobotCar dataset is a radar extension to the Oxford RobotCar dataset, containing radar observations of a vehicle in various scenarios.
DOI: 10.57702/olqr3tb7
title: The MNIST Database of Handwritten Digits

description: The MNIST dataset consists of 60,000 training samples and 10,000 test samples. Each sample is a 28×28 pixel grayscale handwritten digital image.
DOI: 10.57702/hxg07eoa
title: Labor supply data from 28 European countries

description: Labor supply data from 28 European countries
DOI: 10.57702/dm287wk3
title: G-Ref

description: G-Ref is a dataset for referring image segmentation, comprising 104K referring language expressions for around 55K objects in about 27K images.
DOI: 10.57702/yzv78ayo
title: Classification datasets

description: The dataset used for classiﬁcation settings, including Wine, Covertype, and Speaker.
DOI: 10.57702/aqgmqib2
title: UAV Trajectory Prediction

description: The dataset used for predicting the trajectories of multiple fixed-wing UAVs over an extended prediction horizon.
DOI: 10.57702/5clh76zx
title: Aircraft Data

description: Aircraft data used for predictive maintenance
DOI: 10.57702/afnmf40g
title: Analysis Framework for Computational Imaging Systems

description: The dataset used in this paper is a comprehensive analysis framework for Computational Imaging systems, including signal priors, sensor noise, and multiplexing.
DOI: 10.7910/dvn/6wqmlp
title: Replication Data for Geospatial Assessment of Flood Vulnerability and Its Impact on Food Security in Downstream Communities of Shiroro and Zungeru Dams, Niger State, Nigeria

description: &lt;b&gt;Replication Data Description&lt;/b&gt;&lt;br&gt;&lt;br&gt;

This replication dataset supports the study &lt;i&gt;Geospatial Assessment of Flood Vulnerability and Its Impact on Food Security in Downstream Communities of Shiroro and Zungeru Dams, Niger State, Nigeria&lt;/i&gt;. It contains all spatial and non-spatial data required to reproduce the flood vulnerability modeling, exposure analysis, and food security assessment presented in the study.&lt;br&gt;&lt;br&gt;

The data include processed Sentinel-1 SAR flood extent layers, digital elevation and terrain-derived indicators, hydrological features, land use and land cover data, community locations, agricultural land extents, and household survey variables related to food security and livelihood outcomes. Derived layers generated through GIS-based fuzzy multi-criteria analysis, spatial overlays, and zonal statistics are provided to document each stage of the analytical workflow.&lt;br&gt;&lt;br&gt;

All datasets are supplied in standard GIS and tabular formats with complete coordinate reference system information and standardized attribute fields. The replication data enable independent verification of results, replication of vulnerability classification, and reuse of the methodological framework for flood risk and food security assessments in other dam-influenced river basins.
description: The associated manuscript titled Geospatial Assessment of Flood Vulnerability and Its Impact on Food Security in Downstream Communities of Shiroro and Zungeru Dams, Niger State, Nigeria is currently under peer review at Geocarto International.
DOI: 10.57702/jb76fhsi
title: OpenHI2 - Open source histopathological image platform

description: OpenHI2 is an open-source histopathological image platform that supports basic pathological tasks and file formats.
DOI: 10.5281/zenodo.18490493
title: FROM CODE TO PRODUCT: BRIDGING THE GAP BETWEEN SOFTWARE ENGINEERING AND LEAN STARTUP METHODOLOGY

description: In the contemporary digital landscape, technical proficiency alone is insufficient to ensure the success of a startup. While software engineering skills enable the creation of functional systems, the transformation of a technical solution into a sustainable digital product requires the integration of business strategy, market validation, and user-centered design. This paper examines the role of the Minimum Viable Product (MVP) as a foundational instrument in digital startup development, emphasizing its function as a learning mechanism rather than a finished product. The study analyzes how Agile development cycles and Lean Startup methodologies reduce uncertainty by enabling continuous experimentation, rapid iteration, and early customer feedback.
DOI: 10.5281/zenodo.18490492
title: FROM CODE TO PRODUCT: BRIDGING THE GAP BETWEEN SOFTWARE ENGINEERING AND LEAN STARTUP METHODOLOGY

description: In the contemporary digital landscape, technical proficiency alone is insufficient to ensure the success of a startup. While software engineering skills enable the creation of functional systems, the transformation of a technical solution into a sustainable digital product requires the integration of business strategy, market validation, and user-centered design. This paper examines the role of the Minimum Viable Product (MVP) as a foundational instrument in digital startup development, emphasizing its function as a learning mechanism rather than a finished product. The study analyzes how Agile development cycles and Lean Startup methodologies reduce uncertainty by enabling continuous experimentation, rapid iteration, and early customer feedback.
DOI: 10.5281/zenodo.18490474
title: Phupha: Thai Word Frequency Dataset

description: Phupha is A Thai Word Frequency Dataset from Common Crawl Corpus

We use Infini-gram mini API to query word count from CommonCrawl Corpus (Common Crawl July 2025 Crawl).

File:



wordfreq.csv: Thai Word Frequency Dataset

make.py: Create Thai Word Frequency Dataset

requirements.txt: Python requirements.txt


Code license: Apache-2.0 license

Dataset license: Creative Commons Zero 1.0 Universal Public Domain Dedication License (CC0).
DOI: 10.15468/dl.knv2vx
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mystropetalon thomii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 34 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013222-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18490473
title: Phupha: Thai Word Frequency Dataset

description: Phupha is A Thai Word Frequency Dataset from Common Crawl Corpus

We use Infini-gram mini API to query word count from CommonCrawl Corpus (Common Crawl July 2025 Crawl).

File:



wordfreq.csv: Thai Word Frequency Dataset

make.py: Create Thai Word Frequency Dataset

requirements.txt: Python requirements.txt


Code license: Apache-2.0 license

Dataset license: Creative Commons Zero 1.0 Universal Public Domain Dedication License (CC0).
DOI: 10.5281/zenodo.18490501
title: SIRDARYO VILOYATI MIQYOSIDA AYOLLAR O'RTASIDA DINIY BILIMLARNING MA'NAVIY-MA'RIFIY AHAMIYATI

description: Ushbu maqolada Sirdaryo viloyati ayollari orasida diniy bilimlarning ma’naviy-ma’rifiy ahamiyati keng tahlil qilindi. Tadqiqot natijalari shuni ko‘rsatdiki, diniy savodxonlik ayollarda shaxsiy ruhiy barqarorlik, axloqiy qaror qabul qilish qobiliyati, oilaviy qadriyatlarni mustahkamlash va avlodlar tarbiyasini yaxshilashda muhim vosita hisoblanadi. Shuningdek, diniy bilimlar ayollarda jamoat hayotida ijtimoiy faollikni oshiradi, mahalliy hamjamiyatda barqarorlikni ta’minlashga yordam beradi va psixologik salomatlikni mustahkamlaydi. Tadqiqot davomida Sirdaryo viloyatidagi amaliy misollar, so‘rov natijalari va zamonaviy tarbiyaviy vositalar (seminarlar, treninglar, onlayn kurslar) tahlil qilinib, diniy bilimlarni oshirishning samarali yo‘nalishlari aniqlangan. Olingan xulosalar ayollarda diniy savodxonlikni rivojlantirish orqali ma’naviy-ma’rifiy taraqqiyot va ijtimoiy barqarorlikni ta’minlash muhimligini ko‘rsatadi.
DOI: 10.5281/zenodo.18490502
title: SIRDARYO VILOYATI MIQYOSIDA AYOLLAR O'RTASIDA DINIY BILIMLARNING MA'NAVIY-MA'RIFIY AHAMIYATI

description: Ushbu maqolada Sirdaryo viloyati ayollari orasida diniy bilimlarning ma’naviy-ma’rifiy ahamiyati keng tahlil qilindi. Tadqiqot natijalari shuni ko‘rsatdiki, diniy savodxonlik ayollarda shaxsiy ruhiy barqarorlik, axloqiy qaror qabul qilish qobiliyati, oilaviy qadriyatlarni mustahkamlash va avlodlar tarbiyasini yaxshilashda muhim vosita hisoblanadi. Shuningdek, diniy bilimlar ayollarda jamoat hayotida ijtimoiy faollikni oshiradi, mahalliy hamjamiyatda barqarorlikni ta’minlashga yordam beradi va psixologik salomatlikni mustahkamlaydi. Tadqiqot davomida Sirdaryo viloyatidagi amaliy misollar, so‘rov natijalari va zamonaviy tarbiyaviy vositalar (seminarlar, treninglar, onlayn kurslar) tahlil qilinib, diniy bilimlarni oshirishning samarali yo‘nalishlari aniqlangan. Olingan xulosalar ayollarda diniy savodxonlikni rivojlantirish orqali ma’naviy-ma’rifiy taraqqiyot va ijtimoiy barqarorlikni ta’minlash muhimligini ko‘rsatadi.
DOI: 10.15468/dl.uw4us3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aptandra tubicina",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013225-260129131611470/datasets/export for details.
DOI: 10.6084/m9.figshare.31119453.v1
title: The PI4K2A-OSBPL6/ORP6-PS axis mediates lysosomal membrane repair to restore neuronal lipid homeostasis and promote neuronal survival after spinal cord injury

description: Dysfunction of the neuronal macroautophagy/autophagy-lysosome system is a critical contributor to neuronal death following spinal cord injury (SCI), but the underlying mechanisms remain elusive. Our study demonstrated that SCI induced impaired autophagic flux and lysosomal membrane permeabilization (LMP) in neurons. By combining <i>in vivo</i> bulk RNA sequencing with validation experiments, we observed the transient upregulation of the membrane repair factor PI4K2A, which was specifically enriched in lysosomes, after SCI. Crucially, ER-MS and IP-MS analyses revealed an interaction between PI4K2A and the endoplasmic reticulum lipid transfer protein OSBPL6/ORP6. This interaction led to the transport of phosphatidylserine (PS) to damaged lysosomal membranes, promoting LMP repair and subsequently reducing lipid droplet accumulation, which suppressed neuronal death. Furthermore, overexpression of neuronal PI4K2A <i>in vivo</i>, through an OSBPL6- and PS-dependent mechanism, reduced LMP-mediated lipid droplet accumulation and increased neuronal survival, thereby improving functional recovery after SCI. Collectively, our findings establish the PI4K2A-OSBPL6/ORP6-PS axis as a novel and essential mechanism for lysosomal membrane repair in neurons. This pathway is crucial for maintaining neuronal lipid homeostasis and represents a promising therapeutic target for reducing neuronal loss and improving functional recovery after central nervous system trauma.
DOI: 10.5281/zenodo.18490478
title: Attention-Based CNN-BiGRU Models for Temporal Temperature Anomaly Detection Using in Climate Time Series

description: Detecting climate anomalies is crucial for long-term climate change studies and for identifying potential extreme events or irregularities in climate behavior that may reflect anomalies. In contrast to short-term weather forecasting, climate anomaly detection identifies anomalous departures from historical climate patterns at a longer timescale. This research introduces an innovative Attention-based CNN-BiGRU Hybrid approach for detecting temporal temperature anomalies in climate time-series. It combines CNN's ability to extract local temporal features with BiGRU's ability to recognize patterns in a time series over long intervals; and incorporates an attention layer so that it focuses on those time points that are most important for identifying anomalous temperatures; thereby enhancing its performance and interpretation. The model was trained on surface temperature indicators collected from multiple countries during the period from 1961 to 2024. A number of pre-processing and feature engineering techniques were applied to enhance temporal sensitivity to anomalies, including missing value imputation, normalization, lag features, and year-over-year change computation. The proposed approach was assessed using R², RMSE, MAE and Pearson correlation.   The experimental results showed that the Attention-based CNN-BiGRU model performed better than the baseline LSTM and GRU models for detecting significant trend deviations in temperature. The presented framework provides a scalable and domain independent solution for climate time-series anomaly detection, and can be extended to other sequential data applications.
DOI: 10.57760/sciencedb.j00266.00005
title: The Behavioral Mechanisms of Nutrients at the Sediment-Water Interface in Lake Dian and Effective Mitigation of Lake Eutrophication
title: The Behavioral Mechanisms of Nutrients at the Sediment-Water Interface in Lake Dian and Effective Mitigation of Lake Eutrophication

description: High-resolution data on nutrients and organic matter in surface sediments and pore water of Lake Dianchi, October 2023.
description: High-resolution data on nutrients and organic matter in surface sediments and pore water of Lake Dianchi, October 2023.
DOI: 10.5281/zenodo.18490477
title: Attention-Based CNN-BiGRU Models for Temporal Temperature Anomaly Detection Using in Climate Time Series

description: Detecting climate anomalies is crucial for long-term climate change studies and for identifying potential extreme events or irregularities in climate behavior that may reflect anomalies. In contrast to short-term weather forecasting, climate anomaly detection identifies anomalous departures from historical climate patterns at a longer timescale. This research introduces an innovative Attention-based CNN-BiGRU Hybrid approach for detecting temporal temperature anomalies in climate time-series. It combines CNN's ability to extract local temporal features with BiGRU's ability to recognize patterns in a time series over long intervals; and incorporates an attention layer so that it focuses on those time points that are most important for identifying anomalous temperatures; thereby enhancing its performance and interpretation. The model was trained on surface temperature indicators collected from multiple countries during the period from 1961 to 2024. A number of pre-processing and feature engineering techniques were applied to enhance temporal sensitivity to anomalies, including missing value imputation, normalization, lag features, and year-over-year change computation. The proposed approach was assessed using R², RMSE, MAE and Pearson correlation.   The experimental results showed that the Attention-based CNN-BiGRU model performed better than the baseline LSTM and GRU models for detecting significant trend deviations in temperature. The presented framework provides a scalable and domain independent solution for climate time-series anomaly detection, and can be extended to other sequential data applications.
DOI: 10.5281/zenodo.18490513
title: STOMATOLOGIK DEONTOLOGIYA VA BEMOR PSIXOLOGIYASI

description: Ushbu sharx maqola stomatologik amaliyotda deontologik tamoyillar va bemor psixologiyasini integratsiyalash masalalariga bag‘ishlangan. Maqsad – so‘nggi o‘n yillikdagi milliy va xalqaro tadqiqotlarni tahli qilish, mavjud yondashuvlarni tizimlashtirish va ushbu soha bo‘yicha ilmiy-amiliy taraqqiyot istiqbollarini belgilab berish. Maqolada quyidagi asosiy yo‘nalishlar yoritiladi: stomatologik deontologiyaning zamonaviy konseptual asoslari; turli demografik guruh bemorlarning psixologik xususiyatlari; samarali klinik muloqotning psixologik modellari; muammoli klinik vaziyatlarda qaror qabul qilishning axloqiy jihatlari. Adabiyotlarni qiyosiy tahli qilish natijasida, stomatologik xizmat sifatini oshirishning asosiy omili sifatida vrachning psixologik kompetentligi va axloqiy tayyorgarligini integratsiyalash zarurligi aniqlandi. Xulosa qilib, O‘zbekiston stomatologiya amaliyoti uchun moslashgan o‘quv dasturlari va klinik protokollar ishlab chiqish taklif etiladi.
DOI: 10.5281/zenodo.18490514
title: STOMATOLOGIK DEONTOLOGIYA VA BEMOR PSIXOLOGIYASI

description: Ushbu sharx maqola stomatologik amaliyotda deontologik tamoyillar va bemor psixologiyasini integratsiyalash masalalariga bag‘ishlangan. Maqsad – so‘nggi o‘n yillikdagi milliy va xalqaro tadqiqotlarni tahli qilish, mavjud yondashuvlarni tizimlashtirish va ushbu soha bo‘yicha ilmiy-amiliy taraqqiyot istiqbollarini belgilab berish. Maqolada quyidagi asosiy yo‘nalishlar yoritiladi: stomatologik deontologiyaning zamonaviy konseptual asoslari; turli demografik guruh bemorlarning psixologik xususiyatlari; samarali klinik muloqotning psixologik modellari; muammoli klinik vaziyatlarda qaror qabul qilishning axloqiy jihatlari. Adabiyotlarni qiyosiy tahli qilish natijasida, stomatologik xizmat sifatini oshirishning asosiy omili sifatida vrachning psixologik kompetentligi va axloqiy tayyorgarligini integratsiyalash zarurligi aniqlandi. Xulosa qilib, O‘zbekiston stomatologiya amaliyoti uchun moslashgan o‘quv dasturlari va klinik protokollar ishlab chiqish taklif etiladi.
DOI: 10.5281/zenodo.18490528
title: US Supply Chain Risk Analysis Dataset
DOI: 10.5281/zenodo.18490527
title: US Supply Chain Risk Analysis Dataset
DOI: 10.15468/dl.6b9au7
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brachynema ramiflorum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 33 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013227-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.