cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2n3m9q
title: CCDC 2446343: Experimental Crystal Structure Determination

description: Related Article: Petra Stanić, Kristina Smokrović, Ivana Nikšić-Franjić, Krešimir Molčanov|2026|J.Mol.Struct.|1358||doi:10.1016/j.molstruc.2026.145289
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.cc2n3mbr
title: CCDC 2446344: Experimental Crystal Structure Determination

description: Related Article: Petra Stanić, Kristina Smokrović, Ivana Nikšić-Franjić, Krešimir Molčanov|2026|J.Mol.Struct.|1358||doi:10.1016/j.molstruc.2026.145289
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/mdjvsr95w5
title: MAXQDA24 PHD- Code System

description: "This Excel file contains the three-stage coding table for the PhD dissertation titled 'Analyzing the Lived Experiences of Women (Household Heads) in Social and Economic Reintegration after Release from Prison.' The coding was conducted using MAXQDA 24 software, following the grounded theory approach of Kathy Charmaz."
DOI: 10.5517/ccdc.csd.cc2n3mcs
title: CCDC 2446345: Experimental Crystal Structure Determination

description: Related Article: Petra Stanić, Kristina Smokrović, Ivana Nikšić-Franjić, Krešimir Molčanov|2026|J.Mol.Struct.|1358||doi:10.1016/j.molstruc.2026.145289
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.cc2n3mdt
title: CCDC 2446346: Experimental Crystal Structure Determination

description: Related Article: Petra Stanić, Kristina Smokrović, Ivana Nikšić-Franjić, Krešimir Molčanov|2026|J.Mol.Struct.|1358||doi:10.1016/j.molstruc.2026.145289
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.cc2n3mfv
title: CCDC 2446347: Experimental Crystal Structure Determination

description: Related Article: Petra Stanić, Kristina Smokrović, Ivana Nikšić-Franjić, Krešimir Molčanov|2026|J.Mol.Struct.|1358||doi:10.1016/j.molstruc.2026.145289
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.cc2n4746
title: CCDC 2446927: Experimental Crystal Structure Determination

description: Related Article: Chen Cao, Ze-Lin Zhu, Sijie Xian, Jingsheng Miao, Siyuan He, Hong-Ji Tan, Mingxin Xing, He Liu, Ming Yang, Tao Hua, Wentao Xie, Chuluo Yang|2025|Angew.Chem.,Int.Ed.|64|e202518651|doi:10.1002/anie.202518651
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/mdjvsr95w5.1
title: MAXQDA24 PHD- Code System

description: "This Excel file contains the three-stage coding table for the PhD dissertation titled 'Analyzing the Lived Experiences of Women (Household Heads) in Social and Economic Reintegration after Release from Prison.' The coding was conducted using MAXQDA 24 software, following the grounded theory approach of Kathy Charmaz."
DOI: 10.5517/ccdc.csd.cc2n4p8s
title: CCDC 2447365: Experimental Crystal Structure Determination

description: Related Article: Zong-Xu Gao, Chenyingchun Su, Hai-Xia Zhang, Yue-Qing Zhang, Xiao-Xue Chen, Xu-Yuan Liu, Ai-Xia Cheng, Ze-Jun Xu, Hong-Xiang Lou|2025|Nat.Commun.|16|11129|doi:10.1038/s41467-025-66093-0
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.cc2qsvn1
title: CCDC 2526334: Experimental Crystal Structure Determination

description: Related Article: F. W. Heinemann, I. Keller, U. Zenneck|2026|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.cc2qsvp2
title: CCDC 2526335: Experimental Crystal Structure Determination

description: Related Article: F. W. Heinemann, I. Keller, U. Zenneck|2026|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.cc2qsvq3
title: CCDC 2526336: Experimental Crystal Structure Determination

description: Related Article: F. W. Heinemann, I. Keller, U. Zenneck|2026|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.cc2qsvr4
title: CCDC 2526337: Experimental Crystal Structure Determination

description: Related Article: F. W. Heinemann, I. Keller, U. Zenneck|2026|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: 10.17632/v52kh9nmx3
title: Bamboo _soil quality

description: This data is mainly used for the calculation of soil quality index, involving physical, chemical and biological indicators of soil
DOI: 10.5517/ccdc.csd.cc2qsvs5
title: CCDC 2526338: Experimental Crystal Structure Determination

description: Related Article: F. W. Heinemann, I. Keller, U. Zenneck|2026|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.cc2qsvt6
title: CCDC 2526339: Experimental Crystal Structure Determination

description: Related Article: F. W. Heinemann, I. Keller, U. Zenneck|2026|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: 10.17632/v52kh9nmx3.1
title: Bamboo _soil quality

description: This data is mainly used for the calculation of soil quality index, involving physical, chemical and biological indicators of soil
DOI: 10.17632/rz62trmgpv
title: SiMo-Fish: Aerial Imagery Dataset for Behavioral Analysis of Flathead Grey Mullet (Mugil cephalus)

description: The SiMo-Fish aerial image dataset has been selected and annotated to facilitate the training and validation of artificial intelligence models. For example, it is used to recognize and segment the flathead Grey Mullet (Mugil cephalus). As a basis, this dataset enables the creation of automated monitoring systems that enable the accurate identification, counting, and behavioral description of fish populations in captivity.
The primary objective of this research is to develop computer vision software that serves as reliable, non-invasive identifier of individual fish which can be used in further studies or assessments of behaviour. By automatically acquiring quantitative values ​​and behavioral patterns, SiMo-Fish supports precision aquaculture, promotes ethical fish management, and promotes non-invasive monitoring.
DOI: 10.17632/rz62trmgpv.1
title: SiMo-Fish: Aerial Imagery Dataset for Behavioral Analysis of Flathead Grey Mullet (Mugil cephalus)

description: The SiMo-Fish aerial image dataset has been selected and annotated to facilitate the training and validation of artificial intelligence models. For example, it is used to recognize and segment the flathead Grey Mullet (Mugil cephalus). As a basis, this dataset enables the creation of automated monitoring systems that enable the accurate identification, counting, and behavioral description of fish populations in captivity.
The primary objective of this research is to develop computer vision software that serves as reliable, non-invasive identifier of individual fish which can be used in further studies or assessments of behaviour. By automatically acquiring quantitative values ​​and behavioral patterns, SiMo-Fish supports precision aquaculture, promotes ethical fish management, and promotes non-invasive monitoring.
DOI: 10.17632/xtdw5ynggt
title: Effect of amphiphilic chondroitin sulfate on lipid membranes - cytotoxicity aspect - companion dataset

description: This dataset contains simulation input files, topologies, and visualisations of hydrophobically modified chondroitin sulphate. Results presented in the following article are based on data obtained from simulations presented in this dataset.

For more details, please consult the included Readme.pdf document.
DOI: 10.17632/xtdw5ynggt.1
title: Effect of amphiphilic chondroitin sulfate on lipid membranes - cytotoxicity aspect - companion dataset

description: This dataset contains simulation input files, topologies, and visualisations of hydrophobically modified chondroitin sulphate. Results presented in the following article are based on data obtained from simulations presented in this dataset.

For more details, please consult the included Readme.pdf document.
DOI: 10.15468/dl.8f2nt9
title: Occurrence Download

description: A dataset containing 8657656 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 Nymphalidae",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 8657656 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007896-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8nm3w6xvr8.2
title: Spatial Transcriptomics Reveals Compartment-Specific Cytotoxic T cells Crosstalk with AT2 and Goblet cells in Advanced COPD

description: This repository contains the raw data used to generate the figures in the article: "Spatial Transcriptomics Reveals Compartment-Specific Cytotoxic T cells Crosstalk with AT2 and Goblet cells in Advanced COPD" by Syarif et al. Raw data consists of multi colour immunofluorescence imaging and multi panel flow cytometry files.
DOI: 10.17632/yn9b243bms
title: Supplemental tables for the late Cretaseous synorogenic deposits in northern Tibet

description: Supplementary Table captions
Table S1. Summary of sample names, lithology, locations and geographical reference.
Table S2. Zircon LA-ICP-MS U–Pb isotopic analyses of the interlayered volcanics from the late Cretaceous synorogenic deposits.
Table S3. Zircon LA-ICP-MS U–Pb isotopic analyses of the sandstones from the late Cretaceous synorogenic deposits.
Table S4. Summary of zircon analyses of the sandstones and interlayered volcanics from the synorogenic strata.
Table S5. Summary of ages of the interlayered volcanics from the late Cretaceous synorogenic strata.
DOI: 10.15468/dl.upqp8e
title: Occurrence Download

description: A dataset containing 1961 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Doronicum austriacum, Doronicum austriacum)",
 "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 1961 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007905-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yn9b243bms.1
title: Supplemental tables for the late Cretaseous synorogenic deposits in northern Tibet

description: Supplementary Table captions
Table S1. Summary of sample names, lithology, locations and geographical reference.
Table S2. Zircon LA-ICP-MS U–Pb isotopic analyses of the interlayered volcanics from the late Cretaceous synorogenic deposits.
Table S3. Zircon LA-ICP-MS U–Pb isotopic analyses of the sandstones from the late Cretaceous synorogenic deposits.
Table S4. Summary of zircon analyses of the sandstones and interlayered volcanics from the synorogenic strata.
Table S5. Summary of ages of the interlayered volcanics from the late Cretaceous synorogenic strata.
DOI: 10.15468/dl.qvsqvs
title: Occurrence Download

description: A dataset containing 1026 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nannospalax leucodon"
 ]
}

 The dataset includes 1026 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007906-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/p8cc46znd4.1
title: Homeland

description: The Homeland dataset is a game-based personalized dialogue dataset built to overcome the limitations of existing counterparts, such as narrow persona types and shallow dialogues. It features self-created global personas (18 structured/unstructured types with unique PIDs) from subjective and objective dimensions, with dialogues collected via random free interaction without mandatory persona use. The dataset includes high-reliability manual local persona annotations (92.02% inter-annotation consistency), plus multi-dimensional labels for emotion, topic and dialogue quality. Comparative analysis shows it has more dialogue turns, a realistic 44.00% local persona occurrence ratio, and tends to in-depth discussion of core persona types like identity, with scalable collection potential for future expansion.
Here we provide some data samples.
DOI: 10.17632/v99ks7wzc2
title: Global Cropland Abandonment and Reclamation Dataset (1990–2021)

description: This dataset provides a global, grid-based record of cropland abandonment and reclamation from 1990 to 2021, compiled in CSV format at a 1° × 1° latitude–longitude resolution. The dataset was derived from the 30-m GLC_FCS30D land-cover dynamics product, in which cropland abandonment and reclamation were first identified at the pixel level by tracking temporal transitions between cropland and non-cropland land-cover classes.

Pixel-level transition results were then spatially aggregated to 1° grid cells, and the total areas of cropland abandonment and reclamation were calculated for each grid cell and each time step. The temporal resolution follows the updating scheme of the source dataset, with five-year intervals prior to 2000 and annual records thereafter. The final dataset contains grid-level area statistics only and does not include pixel-level land-cover maps.

Organized as comma-separated values (CSV) files, the dataset is readily compatible with common statistical and geospatial analysis workflows and is suitable for large-scale analyses of global cropland abandonment and reclamation dynamics, including assessments of long-term trends and spatial redistribution across terrain gradients.
DOI: 10.17632/v99ks7wzc2.1
title: Global Cropland Abandonment and Reclamation Dataset (1990–2021)

description: This dataset provides a global, grid-based record of cropland abandonment and reclamation from 1990 to 2021, compiled in CSV format at a 1° × 1° latitude–longitude resolution. The dataset was derived from the 30-m GLC_FCS30D land-cover dynamics product, in which cropland abandonment and reclamation were first identified at the pixel level by tracking temporal transitions between cropland and non-cropland land-cover classes.

Pixel-level transition results were then spatially aggregated to 1° grid cells, and the total areas of cropland abandonment and reclamation were calculated for each grid cell and each time step. The temporal resolution follows the updating scheme of the source dataset, with five-year intervals prior to 2000 and annual records thereafter. The final dataset contains grid-level area statistics only and does not include pixel-level land-cover maps.

Organized as comma-separated values (CSV) files, the dataset is readily compatible with common statistical and geospatial analysis workflows and is suitable for large-scale analyses of global cropland abandonment and reclamation dynamics, including assessments of long-term trends and spatial redistribution across terrain gradients.
DOI: 10.17632/p6shfj87t6
title: Extreme Heat, Supply Chain Risks and Enterprise Performance

description: This paper examines the impact of high temperatures on the downstream enterprises. By constructing “supplier-customer” pairs during 2001-2022, we explore exogenous variation in temperature and find that high temperatures in suppliers' regions significantly reduce customers’ performance. The effects are more pronounced for non-state-owned, smaller, less digitalized, more supply-chain-concentrated, and less monopolistic enterprises. The possible channel is that suppliers pass on the increased costs due to high temperatures to customers, leading to adverse impacts on their performance. This paper enriches the research on extreme weather and provides insights about how to respond to supply chain risks in a warming world.
DOI: 10.17632/p6shfj87t6.1
title: Extreme Heat, Supply Chain Risks and Enterprise Performance

description: This paper examines the impact of high temperatures on the downstream enterprises. By constructing “supplier-customer” pairs during 2001-2022, we explore exogenous variation in temperature and find that high temperatures in suppliers' regions significantly reduce customers’ performance. The effects are more pronounced for non-state-owned, smaller, less digitalized, more supply-chain-concentrated, and less monopolistic enterprises. The possible channel is that suppliers pass on the increased costs due to high temperatures to customers, leading to adverse impacts on their performance. This paper enriches the research on extreme weather and provides insights about how to respond to supply chain risks in a warming world.
DOI: 10.17632/x2brytbx4s
title: BPSmart-CARE: a Framework for Managing Contextualized Actions in IoT Systems through the Integration of Business Process Modelling and Complex Event Processing

description: Adrian Bazan-Muñoz, UCASE Software Engineering Research Group, University of Cádiz, Puerto Real, Cádiz, Spain.
Cesare Pautasso, Faculty of Informatics University of Lugano, Lugano, Switzerland.
Guadalupe Ortiz, UCASE Software Engineering Research Group, University of Cádiz, Puerto Real, Cádiz, Spain.
Alfonso Garcia-de-Prado, UCASE Software Engineering Research Group, University of Cádiz, Puerto Real, Cádiz, Spain.

This dataset provides supplementary material for the paper “BPSmart-CARE: a Framework for Managing Contextualized Actions in IoT Systems through the Integration of Business Process Modelling and Complex Event Processing”.
DOI: 10.17632/x2brytbx4s.1
title: BPSmart-CARE: a Framework for Managing Contextualized Actions in IoT Systems through the Integration of Business Process Modelling and Complex Event Processing

description: Adrian Bazan-Muñoz, UCASE Software Engineering Research Group, University of Cádiz, Puerto Real, Cádiz, Spain.
Cesare Pautasso, Faculty of Informatics University of Lugano, Lugano, Switzerland.
Guadalupe Ortiz, UCASE Software Engineering Research Group, University of Cádiz, Puerto Real, Cádiz, Spain.
Alfonso Garcia-de-Prado, UCASE Software Engineering Research Group, University of Cádiz, Puerto Real, Cádiz, Spain.

This dataset provides supplementary material for the paper “BPSmart-CARE: a Framework for Managing Contextualized Actions in IoT Systems through the Integration of Business Process Modelling and Complex Event Processing”.
DOI: 10.17632/8smzc8wp4j
title: MPro-URV

description: The dataset consists of 378 crystallized structures of the SARS-CoV-2 M-pro bound to non-covalent inhibitors for which experimentally measured pIC50 values are available. The pIC50 is defined as the negative logarithm of the half-maximal inhibitory concentration (IC50) expressed in molar units). Higher pIC₅₀ values correspond to higher inhibitory potency; for example, a pIC₅₀ value of 6 corresponds to an IC₅₀ of 1 µM. The pIC₅₀ values span approximately four orders of magnitude, ranging from about 4 to 8, with a broad distribution centred around intermediate potency values, indicating substantial variability in inhibitory activity across the dataset. Notably, only a limited number of inhibitors exhibit pIC₅₀ values greater than 7, indicating that highly potent inhibitors are relatively under-represented in the dataset. In addition, basic size-related properties of the inhibitors were analysed. The number of ligand atoms ranged from 16 to 50, with an average of 28 atoms and a median of 27