cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc4k4d6
title: CCDC 135637: Experimental Crystal Structure Determination

description: Related Article: S.M.Cohen, S.Petoud, K.N.Raymond|1999|Inorg.Chem.|38|4522|doi:10.1021/ic990411k
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/cc4k4f7
title: CCDC 135638: Experimental Crystal Structure Determination

description: Related Article: S.M.Cohen, S.Petoud, K.N.Raymond|1999|Inorg.Chem.|38|4522|doi:10.1021/ic990411k
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/cc4k4g8
title: CCDC 135639: Experimental Crystal Structure Determination

description: Related Article: S.M.Cohen, S.Petoud, K.N.Raymond|1999|Inorg.Chem.|38|4522|doi:10.1021/ic990411k
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/cc3tqzl
title: CCDC 114110: Experimental Crystal Structure Determination

description: Related Article: C.Reufer, C.Zielinski, H.J.Schafer, R.Frohlich|1999|Acta Chem.Scand.|53|1023|doi:10.3891/acta.chem.scand.53-1023
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/cc3tr0n
title: CCDC 114111: Experimental Crystal Structure Determination

description: Related Article: C.Reufer, C.Zielinski, H.J.Schafer, R.Frohlich|1999|Acta Chem.Scand.|53|1023|doi:10.3891/acta.chem.scand.53-1023
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/cc3tr1p
title: CCDC 114112: Experimental Crystal Structure Determination

description: Related Article: C.Reufer, C.Zielinski, H.J.Schafer, R.Frohlich|1999|Acta Chem.Scand.|53|1023|doi:10.3891/acta.chem.scand.53-1023
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/cc3dq17
title: CCDC 101588: Experimental Crystal Structure Determination

description: Related Article: T.V.Laine, M.Klinga, A.Maaninen, E.Aitola, M.Leskela|1999|Acta Chem.Scand.|53|968|doi:10.3891/acta.chem.scand.53-0968
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/cc3tr2q
title: CCDC 114113: Experimental Crystal Structure Determination

description: Related Article: C.Reufer, C.Zielinski, H.J.Schafer, R.Frohlich|1999|Acta Chem.Scand.|53|1023|doi:10.3891/acta.chem.scand.53-1023
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/cc3dq28
title: CCDC 101589: Experimental Crystal Structure Determination

description: Related Article: T.V.Laine, M.Klinga, A.Maaninen, E.Aitola, M.Leskela|1999|Acta Chem.Scand.|53|968|doi:10.3891/acta.chem.scand.53-0968
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/cc4h8kf
title: CCDC 133844: Experimental Crystal Structure Determination

description: Related Article: J. Zukerman-Schpector, P.R. Olivato, E. Bueno, S.A. Guerrero|1999|Z.Kristallogr.-New Cryst.Struct.|214|563|doi:10.1515/ncrs-1999-0482
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/cc4l8qp
title: CCDC 136732: Experimental Crystal Structure Determination

description: Related Article: K.Nishikawa, H.Tsukada, S.Abe, M.Kishimoto, N.Yasuoka|1999|Chirality|11|166|doi:10.1002/(SICI)1520-636X(1999)11:2<166::AID-CHIR14>3.0.CO;2-1
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/cc3xbw6
title: CCDC 116618: Experimental Crystal Structure Determination

description: Related Article: C.C.Wagner, E.J.Baran, O.E.Piro|1999|J.Inorg.Biochem.|73|259|doi:10.1016/S0162-0134(99)00024-0
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/cc4lybz
title: CCDC 137371: Experimental Crystal Structure Determination

description: Related Article: Y.Machida, H.Nishi, K.Nakamura|1999|Chirality|11|173|doi:10.1002/(SICI)1520-636X(1999)11:3<173::AID-CHIR1>3.0.CO;2-P
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/cc4llfq
title: CCDC 137033: Experimental Crystal Structure Determination

description: Related Article: K.Hensen, A.Lemke, T.Stumpf, M.Bolte, H.Fleischer, C.R.Pulham, R.O.Gould, S.Harris|1999|Inorg.Chem.|38|4700|doi:10.1021/ic9905695
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/cc4llgr
title: CCDC 137034: Experimental Crystal Structure Determination

description: Related Article: K.Hensen, A.Lemke, T.Stumpf, M.Bolte, H.Fleischer, C.R.Pulham, R.O.Gould, S.Harris|1999|Inorg.Chem.|38|4700|doi:10.1021/ic9905695
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/cc3j9qm
title: CCDC 105050: Experimental Crystal Structure Determination

description: Related Article: K.Hensen, A.Lemke, T.Stumpf, M.Bolte, H.Fleischer, C.R.Pulham, R.O.Gould, S.Harris|1999|Inorg.Chem.|38|4700|doi:10.1021/ic9905695
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/cc46g4x
title: CCDC 125368: Experimental Crystal Structure Determination

description: Related Article: Min Shi|1999|J.Chem.Cryst.|29|497|doi:10.1023/A:1009583531502
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/cc4llhs
title: CCDC 137035: Experimental Crystal Structure Determination

description: Related Article: K.Hensen, A.Lemke, T.Stumpf, M.Bolte, H.Fleischer, C.R.Pulham, R.O.Gould, S.Harris|1999|Inorg.Chem.|38|4700|doi:10.1021/ic9905695
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/cc46fwm
title: CCDC 125360: Experimental Crystal Structure Determination

description: Related Article: M.S.Loiten, C.Glogard, J.Klaveness, B.Fjaertoft|1999|J.Chem.Cryst.|29|493|doi:10.1023/A:1009531514664
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/cc46g3w
title: CCDC 125367: Experimental Crystal Structure Determination

description: Related Article: J.Gomez-Lara, V.A.Basiuk, E.V.Basiuk, S.Hernandez-Ortega|1999|J.Chem.Cryst.|29|469|doi:10.1023/A:1009575329685
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/cc46g2v
title: CCDC 125366: Experimental Crystal Structure Determination

description: Related Article: R.E.Bachman, A.Fiseha, S.K.Pollack|1999|J.Chem.Cryst.|29|457|doi:10.1023/A:1009571228776
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: 10.5281/zenodo.17256357
title: SAFE_WP1_T1.5.2_CIIMAR_WeightDispersionDESML_PythonCode

description: Python source code of the programs Discrete Event System (DES) simulator and machine learning models fitting and testing used to produce the results of the article reference: Luiz Claudio Navarro, Ana Azevedo, Aníbal Matos, Anderson Rocha, Rodrigo Ozório, Predicting weight dispersion in seabass aquaculture using Discrete Event System simulation and Machine Learning modeling, Aquaculture Reports, Volume 38, 2024, 102315, ISSN 2352-5134, https://doi.org/10.1016/j.aqrep.2024.102315.
DOI: 10.5281/zenodo.17256358
title: SAFE_WP1_T1.5.2_CIIMAR_WeightDispersionDESML_PythonCode

description: Python source code of the programs Discrete Event System (DES) simulator and machine learning models fitting and testing used to produce the results of the article reference: Luiz Claudio Navarro, Ana Azevedo, Aníbal Matos, Anderson Rocha, Rodrigo Ozório, Predicting weight dispersion in seabass aquaculture using Discrete Event System simulation and Machine Learning modeling, Aquaculture Reports, Volume 38, 2024, 102315, ISSN 2352-5134, https://doi.org/10.1016/j.aqrep.2024.102315.
DOI: 10.18738/t8/zz7a4s
title: Replication Data for: Experimental observation of nonlinear relation between pressure and water flux is consistent with the solution-diffusion model

description: In several recent studies, it has been proposed that the fundamental understanding of penetrant transport in dense polymer membranes occurring via the solution-diffusion model, which has been the generally accepted theoretical framework for describing penetrant transport in such materials for the past several decades, is flawed. An alternate mechanistic framework based on the idea of two-phase flow in a porous medium (i.e., pore-flow) has been broadly advanced instead, with proponents of this approach claiming that the pore-flow theoretical framework provides the necessary mechanistic insight to design novel polymeric membrane materials for emerging applications. In this study, we show experimental results for hydraulic permeation of water that are entirely consistent with the solution-diffusion theory, without modification, for three dense polymeric membranes: crosslinked poly(ethylene glycol diacrylate) (XLPEGDA), Nafion 117 ionomer in the sodium counterion form (Nafion 117-Na), and cellulose acetate (CA). By measuring water flux at transmembrane pressures up to 240 bar, we observe a nonlinear relationship between the transmembrane pressure (TMP) and water flux, , for XLPEGDA and Nafion 117-Na, while this relationship is linear for CA. We demonstrate that the behavior of these three materials is described via the solution-diffusion model. According to the solution-diffusion model, flux is, to a good approximation, proportional to the transmembrane concentration difference induced by the pressure difference across the membrane, rather than to TMP itself. Water sorption isotherms are reported for all three materials. They further justify the nonlinear relationship between TMP and observed in XLPEGDA and Nafion 117-Na, emphasizing that the nonlinearity in the flux/TMP relationship stems from nonlinearities in the sorption isotherm with pressure. Additionally, the relationship between water flux and TMP can be predicted, a priori, with no adjustable parameters when a predictive model for the diffusion coefficient of water is employed in conjunction with the experimental water sorption isotherms in the solution-diffusion model. Our results demonstrate the validity of the solution-diffusion model to describe transport of penetrants in dense polymer membranes, while highlighting the sensitivity of the solution-diffusion model to the many physical and mathematical simplifications commonly applied to the theory in literature.
DOI: 10.15468/dl.ddvpqf
title: Occurrence Download

description: A dataset containing 1118 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Loxopholis guianense"
 ]
}

 The dataset includes 1118 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061396-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1154315.10fu
title: SH1154315.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1154317.10fu
title: SH1154317.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1154320.10fu
title: SH1154320.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1154321.10fu
title: SH1154321.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1154327.10fu
title: SH1154327.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1154328.10fu
title: SH1154328.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.