cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2h0j9c
title: CCDC 2294412: Experimental Crystal Structure Determination

description: Related Article: Antonio A. García-Valdivia, Andoni Zabala-Lekuona, Perla R. Ardiles, Paulina L. Páez, Diana Díaz-García, Victoria García-Almodóvar, Santiago Gómez-Ruiz|2025|Journal of Drug Delivery Science and Technology|107|106772|doi:10.1016/j.jddst.2025.106772
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.cc2h0jbd
title: CCDC 2294413: Experimental Crystal Structure Determination

description: Related Article: Antonio A. García-Valdivia, Andoni Zabala-Lekuona, Perla R. Ardiles, Paulina L. Páez, Diana Díaz-García, Victoria García-Almodóvar, Santiago Gómez-Ruiz|2025|Journal of Drug Delivery Science and Technology|107|106772|doi:10.1016/j.jddst.2025.106772
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.cc2kp30d
title: CCDC 2373763: Experimental Crystal Structure Determination

description: Related Article: Xue-Yu Zhang, Yan-Ru Li, Li-Hao Hong, Ping-Xin Wu, Yu-Chen Cong, Ying-Hao Mi, Yan-Qiong Sun, Shou-Tian Zheng, Xin-Xiong Li|2025|J.Solid State Chem.|347|125304|doi:10.1016/j.jssc.2025.125304
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.cc2ktrrx
title: CCDC 2378250: Experimental Crystal Structure Determination

description: Related Article: Kaleem Ullah, Saqib Ali, Saba Naz, Khurram Shahzad Munawar, Muhammd Ashfaq, Muhammad Nawaz Tahir, Muhammad Saeed Jan, Woongkyu Jee|2025|J.Mol.Struct.|1335|141931|doi:10.1016/j.molstruc.2025.141931
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.cc2l8sqd
title: CCDC 2391734: Experimental Crystal Structure Determination

description: Related Article: Fanle Meng, Ruobing Zhou, Ze Xu, Pengcheng Wang, Yuangang Xu, Ming Lu|2025|J.Org.Chem.|90|3964|doi:10.1021/acs.joc.4c02944
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.cc2l8srf
title: CCDC 2391735: Experimental Crystal Structure Determination

description: Related Article: Fanle Meng, Ruobing Zhou, Ze Xu, Pengcheng Wang, Yuangang Xu, Ming Lu|2025|J.Org.Chem.|90|3964|doi:10.1021/acs.joc.4c02944
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.cc2l8ssg
title: CCDC 2391736: Experimental Crystal Structure Determination

description: Related Article: Fanle Meng, Ruobing Zhou, Ze Xu, Pengcheng Wang, Yuangang Xu, Ming Lu|2025|J.Org.Chem.|90|3964|doi:10.1021/acs.joc.4c02944
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.cc2l8sth
title: CCDC 2391737: Experimental Crystal Structure Determination

description: Related Article: Fanle Meng, Ruobing Zhou, Ze Xu, Pengcheng Wang, Yuangang Xu, Ming Lu|2025|J.Org.Chem.|90|3964|doi:10.1021/acs.joc.4c02944
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.cc2l8svj
title: CCDC 2391738: Experimental Crystal Structure Determination

description: Related Article: Fanle Meng, Ruobing Zhou, Ze Xu, Pengcheng Wang, Yuangang Xu, Ming Lu|2025|J.Org.Chem.|90|3964|doi:10.1021/acs.joc.4c02944
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.cc2l8swk
title: CCDC 2391739: Experimental Crystal Structure Determination

description: Related Article: Fanle Meng, Ruobing Zhou, Ze Xu, Pengcheng Wang, Yuangang Xu, Ming Lu|2025|J.Org.Chem.|90|3964|doi:10.1021/acs.joc.4c02944
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: 10.6084/m9.figshare.28726787
title: data

description: Data for training and evaluation of the Transformer-based question generation model introduced in the following ECAI 2023 paper "Uniform training and marginal decoding for multi-reference question-answer generation" https://ebooks.iospress.nl/doi/10.3233/FAIA230539
DOI: 10.21942/uva.28726931.v1
title: Chapter 5: Supplementary table 1

description: Coding sequences of different TOPLESS family members from different plant species used in a phylogenetic analysis in PhD thesis T.R. Aalders: Shaping Susceptibility: The role of SIX8 and TOPLESS in Fusarium wilt disease
DOI: 10.21942/uva.28726931
title: Chapter 5: Supplementary table 1

description: Coding sequences of different TOPLESS family members from different plant species used in a phylogenetic analysis in PhD thesis T.R. Aalders: Shaping Susceptibility: The role of SIX8 and TOPLESS in Fusarium wilt disease
DOI: 10.6084/m9.figshare.28726721
title: Supplementary Table 5 snATAC cell cluster DAGeneList.xlsx

description: Supplemental data for: CCAAT/Enhancer-Binding Proteins α and β Regulate Ovulation and Gene Expression via Dose- and Stage-Dependent Mechanisms
DOI: 10.6084/m9.figshare.28726724
title: Supplementary Table 4 12h DEG.xlsx

description: Supplemental data for: CCAAT/Enhancer-Binding Proteins α and β Regulate Ovulation and Gene Expression via Dose- and Stage-Dependent Mechanisms
DOI: 10.6084/m9.figshare.28726733
title: Supplementary Table 3 8h DEG.xlsx

description: Supplemental data for: CCAAT/Enhancer-Binding Proteins α and β Regulate Ovulation and Gene Expression via Dose- and Stage-Dependent Mechanisms
DOI: 10.5281/zenodo.15130304
title: Full-field electroretinography data

description: Full-field electroretinography measurements before and after application of either vehicle or virus into twelve wild-type Libechov minipigs. The data provided represent rod and cone photoreceprtors function and their population after AAVanc80.CAG.USH1Ca1 (OT_USH_101) virus application.
DOI: 10.5281/zenodo.15130305
title: Full-field electroretinography data

description: Full-field electroretinography measurements before and after application of either vehicle or virus into twelve wild-type Libechov minipigs. The data provided represent rod and cone photoreceprtors function and their population after AAVanc80.CAG.USH1Ca1 (OT_USH_101) virus application.
DOI: 10.6084/m9.figshare.28726727
title: Supplementary Table 6 Pan-cistromics analysis of selected genes and tissue origin of the ChIP-seq.xlsx

description: Supplemental data for: CCAAT/Enhancer-Binding Proteins α and β Regulate Ovulation and Gene Expression via Dose- and Stage-Dependent Mechanisms
DOI: 10.6084/m9.figshare.28726718
title: Cebp-P Supplementary Information.docx

description: Supplemental data for: CCAAT/Enhancer-Binding Proteins α and β Regulate Ovulation and Gene Expression via Dose- and Stage-Dependent Mechanisms
DOI: 10.6084/m9.figshare.28726730
title: Supplementary Table 7 Overlap of DARs and CEBPαβ binding sites of selected genes.xlsx

description: Supplemental data for: CCAAT/Enhancer-Binding Proteins α and β Regulate Ovulation and Gene Expression via Dose- and Stage-Dependent Mechanisms
DOI: 10.6073/pasta/d90f1f508bdb3e019acb60e401af4407
title: North Temperate Lakes LTER Soil Temperature - Woodruff Airport 2006 - current

description: Soil temperature data are being gathered at a site at the Noble F. Lee municipal airport located at Woodruff, WI. Soil temperature is measured at depths of 0.05m, 0.1m and 0.5m at 1-minute intervals. High resolution data are collected (typically at 10 minute intervals) along with 1-hour and 24-hour averages. Daily minimum and maximum soil temperatures and the times these occur are reported for these same depths. Data are automatically updated into the database every six hours. Prior to August 2006, only hourly averaged data are available. Starting in 2008, soil temperatures are only available from 0.5m depth. Sampling frequency: varies for instantaneous samples; averaged to hourly and daily values from one minute samples. Number of sites: 1.
 Data collection failure caused data loss for the first half of 2024.
DOI: 10.5281/zenodo.15116832
title: Dataset of Validation of PRISM3D model

description: This dataset contains the input files and codes to build an optimal 3D velocity model for SW Iberia, as well as simulation source inputs, and waveform outputs from simulations validating five earthquakes in southwest Iberia, which is used and cited by the journal paper Validation of the PRISM3D Velocity Model in Southwest Iberia.
DOI: 10.6084/m9.figshare.28287987
title: Assumption-Lean Regression for Nonnegative Response via Variational Representation

description: We present a novel estimator for regression parameters that does not require any assumptions about the conditional distribution family of the response variable, except for non-negativity. This estimator is particularly useful for handling semi-continuous, zero-inflated, and proportional data, eliminating the need for complex models and simplifying the inference process. The estimator is unaffected by over-under dispersion, heavy tails or other problems related to the incorrect assumptions about the response distribution. In addition, the asymptotic properties of the estimator do not depend on the underlying conditional distribution. Apart from that, our method does not involve kernel-based estimation and is, therefore, free from issues related to smoothing parameter selection. The R code for implementing the method and reproducing the results is available in the supplementary materials.
DOI: 10.6084/m9.figshare.28287987.v1
title: Assumption-lean regression for non-negative response via variational representation

description: We present a novel estimator for regression parameters that does not require any assumptions about the conditional distribution family of the response variable, except for non-negativity. This estimator is particularly useful for handling semi-continuous, zero-inflated, and proportional data, eliminating the need for complex models and simplifying the inference process. The estimator is unaffected by over-under dispersion, heavy tails or other problems related to the incorrect assumptions about the response distribution. In addition, the asymptotic properties of the estimator do not depend on the underlying conditional distribution. Apart from that, our method does not involve kernel-based estimation and is, therefore, free from issues related to smoothing parameter selection. The R code for implementing the method and reproducing the results is available in the supplementary materials
DOI: 10.6084/m9.figshare.28287987.v2
title: Assumption-Lean Regression for Nonnegative Response via Variational Representation

description: We present a novel estimator for regression parameters that does not require any assumptions about the conditional distribution family of the response variable, except for non-negativity. This estimator is particularly useful for handling semi-continuous, zero-inflated, and proportional data, eliminating the need for complex models and simplifying the inference process. The estimator is unaffected by over-under dispersion, heavy tails or other problems related to the incorrect assumptions about the response distribution. In addition, the asymptotic properties of the estimator do not depend on the underlying conditional distribution. Apart from that, our method does not involve kernel-based estimation and is, therefore, free from issues related to smoothing parameter selection. The R code for implementing the method and reproducing the results is available in the supplementary materials.
DOI: 10.6084/m9.figshare.28543688
title: Size and concentration characterization of microplastic particles in aqueous samples using sensitivity-enhanced coupled planar microwave resonators - Experimental Data

description: Experimental data supporting the study titled 'Size and concentration characterization of microplastic particles in aqueous samples using sensitivity-enhanced coupled planar microwave resonators,' submitted for review to the <i>Journal of Hazardous Materials</i>. The data includes measurements of microplastic size and concentration using a microwave sensing platform.
DOI: 10.6084/m9.figshare.28543688.v1
title: Size and concentration characterization of microplastic particles in aqueous samples using sensitivity-enhanced coupled planar microwave resonators - Experimental Data

description: Experimental data supporting the study titled 'Size and concentration characterization of microplastic particles in aqueous samples using sensitivity-enhanced coupled planar microwave resonators,' submitted for review to the <i>Journal of Hazardous Materials</i>. The data includes measurements of microplastic size and concentration using a microwave sensing platform.
DOI: 10.5281/zenodo.15116833
title: Dataset of Validation of PRISM3D model

description: This dataset contains the input files and codes to build an optimal 3D velocity model for SW Iberia, as well as simulation source inputs, and waveform outputs from simulations validating five earthquakes in southwest Iberia, which is used and cited by the journal paper Validation of the PRISM3D Velocity Model in Southwest Iberia.
DOI: 10.5281/zenodo.13712901
title: ABS-rich model waste characterisation for different sampling strategies – XRF data

description: The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams.  

A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of  either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency.  

This dataset contains raw XRF data of the model waste from the different sampling approaches, such as:

·One Excel file containing XRF data of the model waste, wherein the approach was based on extrusion and measurement protocol

·One Excel file containing XRF data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol

·One Readme file containing further information about the methodology and nomenclature 

This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)
DOI: 10.5281/zenodo.13712902
title: ABS-rich model waste characterisation for different sampling strategies – XRF data

description: The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams.  

A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of  either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency.  

This dataset contains raw XRF data of the model waste from the different sampling approaches, such as:

·One Excel file containing XRF data of the model waste, wherein the approach was based on extrusion and measurement protocol

·One Excel file containing XRF data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol

·One Readme file containing further information about the methodology and nomenclature 

This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)
DOI: 10.5281/zenodo.13716293
title: Recyclates after solvent-based recycling - GC-MS data

description: The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams after the treatment with CreaSolv®.

Taking into consideration the morphology of the recyclates after CreaSolv®, the samples were prepared based on the model waste (MW) approaches. The recyclates after CreaSolv® treatment are in the form of powder, therefore the MW approaches were selected in which cryogenic grinding processes were used.

The sampling approaches from the (MW) were applied to the recyclates, and each was assessed via various analytical techniques.

This dataset contains raw GC-MS data of the recyclate from the different sampling approaches, such as:

•Excel files containing GC-MS data of the recyclate, wherein the approach was based on cryogenic grinding combined with solid-liquid separation, with a measurement protocol

·One Readme file containing further information about the methodology and nomenclature 

This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)
DOI: 10.5281/zenodo.13716294
title: Recyclates after solvent-based recycling - GC-MS data

description: The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams after the treatment with CreaSolv®.

Taking into consideration the morphology of the recyclates after CreaSolv®, the samples were prepared based on the model waste (MW) approaches. The recyclates after CreaSolv® treatment are in the form of powder, therefore the MW approaches were selected in which cryogenic grinding processes were used.

The sampling approaches from the (MW) were applied to the recyclates, and each was assessed via various analytical techniques.

This dataset contains raw GC-MS data of the recyclate from the different sampling approaches, such as:

•Excel files containing GC-MS data of the recyclate, wherein the approach was based on cryogenic grinding combined with solid-liquid separation, with a measurement protocol

·One Readme file containing further information about the methodology and nomenclature 

This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)
DOI: 10.5281/zenodo.13716127
title: Recyclates after Supercritical CO2 - XRF

description: The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams after the treatment with scCO2.

Taking into consideration the morphology of the recyclates after scCO2, the samples were prepared based on the model waste (MW) approaches. The recyclates after scCO2 treatment are in the form of flakes, however due to the high heterogeneity of the material and possible low accuracy of analytical evaluation, an extra step of grinding was added to increase their representativeness. 

The sampling approaches from the (MW) were applied to the recyclates, and each was assessed via various analytical techniques.

This dataset contains raw XRF data of the recyclate from the different sampling approaches, such as:

•Excel files containing XRF data of the recyclate, wherein the approach was based on cryogenic grinding and cryogenic grinding combined with scCO2, with a measurement protocol

·One Readme file containing further information about the methodology and nomenclature 

This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)
DOI: 10.5281/zenodo.13716128
title: Recyclates after Supercritical CO2 - XRF

description: The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams after the treatment with scCO2.

Taking into consideration the morphology of the recyclates after scCO2, the samples were prepared based on the model waste (MW) approaches. The recyclates after scCO2 treatment are in the form of flakes, however due to the high heterogeneity of the material and possible low accuracy of analytical evaluation, an extra step of grinding was added to increase their representativeness. 

The sampling approaches from the (MW) were applied to the recyclates, and each was assessed via various analytical techniques.

This dataset contains raw XRF data of the recyclate from the different sampling approaches, such as:

•Excel files containing XRF data of the recyclate, wherein the approach was based on cryogenic grinding and cryogenic grinding combined with scCO2, with a measurement protocol

·One Readme file containing further information about the methodology and nomenclature 

This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)
DOI: 10.5281/zenodo.13716184
title: Recyclates after upcycling - XRF data

description: The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams after upcycling.

Taking into consideration the morphology of the recyclates after upcycling, the samples were prepared based on the model waste (MW) approaches. The recyclates after upcycling are in the form of pellets, therefore the MW approaches were selected in which extrusion processes were used.

The sampling approaches from the (MW) were applied to the recyclates, and each was assessed via various analytical techniques.

This dataset contains raw XRF data of the recyclate from the different sampling approaches, such as:

•Excel files containing XRF data of the recyclate, wherein the approach was based on extrusion, with a measurement protocol

·One Readme file containing further information about the methodology and nomenclature 

This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)