cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccsg7r6
title: CCDC 728678: Experimental Crystal Structure Determination

description: Related Article: A.Cohen, J.Kopilov, I.Goldberg, M.Kol|2009|Organometallics|28|1391|doi:10.1021/om801058w
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: 10.13140/rg.2.2.22224.84480
title: Aspects of Biological Apatite Crystal (4-1)Two pathways for apatite crystal formation (OCP and CDL pathways) (4-2) Crystal damage related to fluoride, cadmium exposure and estrogen deficiency: based on CDL pathway (Crystal defects and osteoporosis) (4-3) The Event of Pathological Calcification (Vascular calcification) (4-4) Bone crystal resorption by osteoclasts (Event of endocytosis)
DOI: 10.5517/ccsg7s7
title: CCDC 728679: Experimental Crystal Structure Determination

description: Related Article: A.Cohen, J.Kopilov, I.Goldberg, M.Kol|2009|Organometallics|28|1391|doi:10.1021/om801058w
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/ccsg7t8
title: CCDC 728680: Experimental Crystal Structure Determination

description: Related Article: A.Cohen, J.Kopilov, I.Goldberg, M.Kol|2009|Organometallics|28|1391|doi:10.1021/om801058w
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/ccnvw1d
title: CCDC 621644: Experimental Crystal Structure Determination

description: Related Article: Md.N.Uddin, M.A.Mottalib, N.Begum, S.Ghosh, A.K.Raha, D.T.Haworth, S.V.Lindeman, T.A.Siddiquee, D.W.Bennett, G.Hogarth, E.Nordlander, S.E.Kabir|2009|Organometallics|28|1514|doi:10.1021/om801075p
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/ccnvw2f
title: CCDC 621645: Experimental Crystal Structure Determination

description: Related Article: Md.N.Uddin, M.A.Mottalib, N.Begum, S.Ghosh, A.K.Raha, D.T.Haworth, S.V.Lindeman, T.A.Siddiquee, D.W.Bennett, G.Hogarth, E.Nordlander, S.E.Kabir|2009|Organometallics|28|1514|doi:10.1021/om801075p
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/ccnvw3g
title: CCDC 621646: Experimental Crystal Structure Determination

description: Related Article: Md.N.Uddin, M.A.Mottalib, N.Begum, S.Ghosh, A.K.Raha, D.T.Haworth, S.V.Lindeman, T.A.Siddiquee, D.W.Bennett, G.Hogarth, E.Nordlander, S.E.Kabir|2009|Organometallics|28|1514|doi:10.1021/om801075p
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/ccp0v0j
title: CCDC 626417: Experimental Crystal Structure Determination

description: Related Article: Md.N.Uddin, M.A.Mottalib, N.Begum, S.Ghosh, A.K.Raha, D.T.Haworth, S.V.Lindeman, T.A.Siddiquee, D.W.Bennett, G.Hogarth, E.Nordlander, S.E.Kabir|2009|Organometallics|28|1514|doi:10.1021/om801075p
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/ccp0v1k
title: CCDC 626418: Experimental Crystal Structure Determination

description: Related Article: Md.N.Uddin, M.A.Mottalib, N.Begum, S.Ghosh, A.K.Raha, D.T.Haworth, S.V.Lindeman, T.A.Siddiquee, D.W.Bennett, G.Hogarth, E.Nordlander, S.E.Kabir|2009|Organometallics|28|1514|doi:10.1021/om801075p
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/ccp94rv
title: CCDC 634407: Experimental Crystal Structure Determination

description: Related Article: Md.N.Uddin, M.A.Mottalib, N.Begum, S.Ghosh, A.K.Raha, D.T.Haworth, S.V.Lindeman, T.A.Siddiquee, D.W.Bennett, G.Hogarth, E.Nordlander, S.E.Kabir|2009|Organometallics|28|1514|doi:10.1021/om801075p
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/ccqjqhf
title: CCDC 671475: Experimental Crystal Structure Determination

description: Related Article: Md.N.Uddin, M.A.Mottalib, N.Begum, S.Ghosh, A.K.Raha, D.T.Haworth, S.V.Lindeman, T.A.Siddiquee, D.W.Bennett, G.Hogarth, E.Nordlander, S.E.Kabir|2009|Organometallics|28|1514|doi:10.1021/om801075p
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/ccrq4vf
title: CCDC 706485: Experimental Crystal Structure Determination

description: Related Article: Md.N.Uddin, M.A.Mottalib, N.Begum, S.Ghosh, A.K.Raha, D.T.Haworth, S.V.Lindeman, T.A.Siddiquee, D.W.Bennett, G.Hogarth, E.Nordlander, S.E.Kabir|2009|Organometallics|28|1514|doi:10.1021/om801075p
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/ccrpfys
title: CCDC 705806: Experimental Crystal Structure Determination

description: Related Article: M.H.Chisholm, J.C.Gallucci, G.Yaman, T.Young|2009|Chem.Commun.||1828|doi:10.1039/b818375a
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/ccrpfzt
title: CCDC 705807: Experimental Crystal Structure Determination

description: Related Article: M.H.Chisholm, J.C.Gallucci, G.Yaman, T.Young|2009|Chem.Commun.||1828|doi:10.1039/b818375a
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/ccrpg0w
title: CCDC 705808: Experimental Crystal Structure Determination

description: Related Article: M.H.Chisholm, J.C.Gallucci, G.Yaman, T.Young|2009|Chem.Commun.||1828|doi:10.1039/b818375a
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/ccrpg1x
title: CCDC 705809: Experimental Crystal Structure Determination

description: Related Article: M.H.Chisholm, J.C.Gallucci, G.Yaman, T.Young|2009|Chem.Commun.||1828|doi:10.1039/b818375a
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/ccrwk5b
title: CCDC 711672: Experimental Crystal Structure Determination

description: Related Article: P.Horeglad, G.Nocton, Y.Filinchuk, J.Pecaut, M.Mazzanti|2009|Chem.Commun.||1843|doi:10.1039/b821398d
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/ccrk3jx
title: CCDC 701639: Experimental Crystal Structure Determination

description: Related Article: Ming-Chou Chen, Yen-Ju Chiang, Choongik Kim, Yue-Jhih Guo, Sheng-Yu Chen, You-Jhih Liang, Yue-Wen Huang, Tarng-Shiang Hu, Gene-Hsiang Lee, A.Facchetti, T.J.Marks|2009|Chem.Commun.||1846|doi:10.1039/b820621j
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/ccrwk6c
title: CCDC 711673: Experimental Crystal Structure Determination

description: Related Article: P.Horeglad, G.Nocton, Y.Filinchuk, J.Pecaut, M.Mazzanti|2009|Chem.Commun.||1843|doi:10.1039/b821398d
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/ccrk3ky
title: CCDC 701640: Experimental Crystal Structure Determination

description: Related Article: Ming-Chou Chen, Yen-Ju Chiang, Choongik Kim, Yue-Jhih Guo, Sheng-Yu Chen, You-Jhih Liang, Yue-Wen Huang, Tarng-Shiang Hu, Gene-Hsiang Lee, A.Facchetti, T.J.Marks|2009|Chem.Commun.||1846|doi:10.1039/b820621j
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/ccrtxn3
title: CCDC 710106: Experimental Crystal Structure Determination

description: Related Article: Ming-Chou Chen, Yen-Ju Chiang, Choongik Kim, Yue-Jhih Guo, Sheng-Yu Chen, You-Jhih Liang, Yue-Wen Huang, Tarng-Shiang Hu, Gene-Hsiang Lee, A.Facchetti, T.J.Marks|2009|Chem.Commun.||1846|doi:10.1039/b820621j
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/ccqbnnb
title: CCDC 665652: Experimental Crystal Structure Determination

description: Related Article: Wuping Liao, Yanling Li, Xiaofei Wang, Yanfeng Bi, Zhongmin Su, Hongjie Zhang|2009|Chem.Commun.||1861|doi:10.1039/b821065a
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/ccqbnpc
title: CCDC 665653: Experimental Crystal Structure Determination

description: Related Article: Wuping Liao, Yanling Li, Xiaofei Wang, Yanfeng Bi, Zhongmin Su, Hongjie Zhang|2009|Chem.Commun.||1861|doi:10.1039/b821065a
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/ccs02wq
title: CCDC 715073: Experimental Crystal Structure Determination

description: Related Article: Wuping Liao, Yanling Li, Xiaofei Wang, Yanfeng Bi, Zhongmin Su, Hongjie Zhang|2009|Chem.Commun.||1861|doi:10.1039/b821065a
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: 10.17632/6x8mgm48nk
title: The Chain of Fairness Perceptions

description: This study investigates the psychological mechanisms through which performance appraisal fairness influences job performance, drawing on self-determination theory and organizational justice theory. Using a cross-sectional survey of 2,807 employees across multiple industries with structural equation modeling, we tested a sequential mediation model. Results demonstrate that performance appraisal fairness significantly enhances intrinsic motivation (β = .803), which subsequently promotes work flourishing (β = .749), ultimately leading to improved job performance (β = .254). Multiple mediation analyses confirmed that the relationship between fairness and performance is primarily mediated through the sequential pathway of intrinsic motivation and work flourishing (indirect effect = .374, 95% CI [.331, .417]). The findings reveal how fairness perceptions cascade through psychological mechanisms to influence employee outcomes, offering important implications for designing performance management systems that not only evaluate but also motivate and develop employees.
DOI: 10.17632/6x8mgm48nk.1
title: The Chain of Fairness Perceptions

description: This study investigates the psychological mechanisms through which performance appraisal fairness influences job performance, drawing on self-determination theory and organizational justice theory. Using a cross-sectional survey of 2,807 employees across multiple industries with structural equation modeling, we tested a sequential mediation model. Results demonstrate that performance appraisal fairness significantly enhances intrinsic motivation (β = .803), which subsequently promotes work flourishing (β = .749), ultimately leading to improved job performance (β = .254). Multiple mediation analyses confirmed that the relationship between fairness and performance is primarily mediated through the sequential pathway of intrinsic motivation and work flourishing (indirect effect = .374, 95% CI [.331, .417]). The findings reveal how fairness perceptions cascade through psychological mechanisms to influence employee outcomes, offering important implications for designing performance management systems that not only evaluate but also motivate and develop employees.
DOI: 10.5281/zenodo.16304710
title: PEV-SC: An Ensemble Learning-Based Model for Porcine Enterovirus Identification
DOI: 10.5281/zenodo.17226377
title: PEV-SC: An Ensemble Learning-Based Model for Porcine Enterovirus Identification
DOI: 10.17632/czz68d9fwj
title: A Multi-Parameter Dataset for Machine Learning Based Fruit Spoilage Prediction in an IoT-Enabled Cold Storage System

description: This dataset was compiled as part of a project to design a cold storage system to combat post-harvest food loss in developing regions by integrating IoT technology with predictive machine learning. The project, which was developed for use by smallholder farmers in Uganda, aims to monitor and proactively control the environmental conditions in cold storage units to extend the shelf life of perishable goods. 

This dataset is specifically structured for machine learning applications, serving as the training and validation data for machine learning models. It contains environmental data points collected in a controlled cold storage environment. The data is organized into a comma-separated value (CSV) file with a total of 10996 entries in the following six columns:

Fruit: A categorical variable indicating the type of fruit being stored (e.g., Orange, Pineapple, Banana, Tomato).

Temp: The temperature inside the cold storage unit, measured in degrees Celsius (°C).

Humid: The relative humidity (RH) of the environment, measured as a percentage (%).

Light: The intensity of light exposure, measured in Lux.

CO2: The concentration of carbon dioxide (CO₂) in the air, measured in parts per million (ppm).

Class: A binary classification label (Good or Bad) that serves as the target variable for the predictive model, indicating whether the environmental conditions are optimal or suboptimal for spoilage prevention.

The data's primary purpose is to provide a basis for training predictive models to classify environmental conditions and assess spoilage risk. 

The dataset is a valuable resource for researchers and practitioners in fields such as smart agriculture, food science, embedded systems, and machine learning. It can be used to:

Train, validate, and test new predictive models for food spoilage.

Analyze the correlation between specific environmental factors (temperature, humidity, CO2, and light) and fruit spoilage outcomes.

Support the development of low-cost, intelligent monitoring systems for cold chain logistics and food preservation.

This dataset and the associated project are intended to contribute to achieving the United Nations Sustainable Development Goals (SDGs), particularly those related to food security and sustainable agriculture.
DOI: 10.17632/czz68d9fwj.1
title: A Multi-Parameter Dataset for Machine Learning Based Fruit Spoilage Prediction in an IoT-Enabled Cold Storage System

description: This dataset was compiled as part of a project to design a cold storage system to combat post-harvest food loss in developing regions by integrating IoT technology with predictive machine learning. The project, which was developed for use by smallholder farmers in Uganda, aims to monitor and proactively control the environmental conditions in cold storage units to extend the shelf life of perishable goods. 

This dataset is specifically structured for machine learning applications, serving as the training and validation data for machine learning models. It contains environmental data points collected in a controlled cold storage environment. The data is organized into a comma-separated value (CSV) file with a total of 10996 entries in the following six columns:

Fruit: A categorical variable indicating the type of fruit being stored (e.g., Orange, Pineapple, Banana, Tomato).

Temp: The temperature inside the cold storage unit, measured in degrees Celsius (°C).

Humid: The relative humidity (RH) of the environment, measured as a percentage (%).

Light: The intensity of light exposure, measured in Lux.

CO2: The concentration of carbon dioxide (CO₂) in the air, measured in parts per million (ppm).

Class: A binary classification label (Good or Bad) that serves as the target variable for the predictive model, indicating whether the environmental conditions are optimal or suboptimal for spoilage prevention.

The data's primary purpose is to provide a basis for training predictive models to classify environmental conditions and assess spoilage risk. 

The dataset is a valuable resource for researchers and practitioners in fields such as smart agriculture, food science, embedded systems, and machine learning. It can be used to:

Train, validate, and test new predictive models for food spoilage.

Analyze the correlation between specific environmental factors (temperature, humidity, CO2, and light) and fruit spoilage outcomes.

Support the development of low-cost, intelligent monitoring systems for cold chain logistics and food preservation.

This dataset and the associated project are intended to contribute to achieving the United Nations Sustainable Development Goals (SDGs), particularly those related to food security and sustainable agriculture.
DOI: 10.15468/dl.c7hcnm
title: Occurrence Download

description: A dataset containing 824236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Harmonia axyridis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 824236 records from 1290 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029705-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjhqgk
title: Occurrence Download

description: A dataset containing 1043 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Dryopteris clintoniana)"
 ]
}

 The dataset includes 1043 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029734-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/j74hgmfb9m
title: meta-analysis data

description: Meta-analysis of raw data
DOI: 10.17632/j74hgmfb9m.1
title: meta-analysis data

description: Meta-analysis of raw data