cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc656p7
title: CCDC 183758: Experimental Crystal Structure Determination

description: Related Article: V.K.Yadav, G.Senthil, K.G.Babu, M.Parvez, J.L.Reid|2002|J.Org.Chem.|67|1109|doi:10.1021/jo0106400
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/cc490m1
title: CCDC 127832: Experimental Crystal Structure Determination

description: Related Article: E.W.Ainscough, A.M.Brodie, A.D.Lowe, J.M.Waters|2000|Inorg.Chim.Acta|303|128|doi:10.1016/S0020-1693(99)00510-1
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/cc4qgjt
title: CCDC 140756: Experimental Crystal Structure Determination

description: Related Article: D.Drago, P.S.Pregosin, M.Tschoerner, A.Albinati|1999|J.Chem.Soc.,Dalton Trans.||2279|doi:10.1039/a903509e
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/cc4qgkv
title: CCDC 140757: Experimental Crystal Structure Determination

description: Related Article: D.Drago, P.S.Pregosin, M.Tschoerner, A.Albinati|1999|J.Chem.Soc.,Dalton Trans.||2279|doi:10.1039/a903509e
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/cc3syvn
title: CCDC 113362: Experimental Crystal Structure Determination

description: Related Article: C.A.Kavounis, L.C.Tzavellas, C.J.Cardin, Y.Zubavichus|1999|Struct.Chem.|10|411|doi:10.1023/A:1022422921247
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/cc4g2m8
title: CCDC 132699: Experimental Crystal Structure Determination

description: Related Article: J.E.Drake, L.N.Khasrou, A.G.Mislankar, R.Ratnani|2000|Polyhedron|19|407|doi:10.1016/S0277-5387(99)00372-1
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/cc4g2n9
title: CCDC 132700: Experimental Crystal Structure Determination

description: Related Article: J.E.Drake, L.N.Khasrou, A.G.Mislankar, R.Ratnani|2000|Polyhedron|19|407|doi:10.1016/S0277-5387(99)00372-1
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/cc4g2pb
title: CCDC 132701: Experimental Crystal Structure Determination

description: Related Article: J.E.Drake, L.N.Khasrou, A.G.Mislankar, R.Ratnani|2000|Polyhedron|19|407|doi:10.1016/S0277-5387(99)00372-1
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/cc4g2qc
title: CCDC 132702: Experimental Crystal Structure Determination

description: Related Article: J.E.Drake, L.N.Khasrou, A.G.Mislankar, R.Ratnani|2000|Polyhedron|19|407|doi:10.1016/S0277-5387(99)00372-1
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/cc5bwt5
title: CCDC 159427: Experimental Crystal Structure Determination

description: Related Article: E.Alcalde, N.Mesquida, M.Alemany, C.Alvarez-Rua, S.Garcia-Granda, P.Pacheco, L.Perez-Garcia|2002|Eur.J.Org.Chem.|2002|1221|doi:10.1002/1099-0690(200204)2002:7<1221::AID-EJOC1221>3.0.CO;2-Q
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/cc664m4
title: CCDC 184655: Experimental Crystal Structure Determination

description: Related Article: Hao Cheng, Liangbing Gan, Yaru Shi, Xiaolan Wei|2001|J.Org.Chem.|66|6369|doi:10.1021/jo015749m
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/cc5lyh5
title: CCDC 167167: Experimental Crystal Structure Determination

description: Related Article: A.S.K.Hashmi, M.A.Grundl, J.W.Bats, M.Bolte|2002|Eur.J.Org.Chem.|2002|1263|doi:10.1002/1099-0690(200204)2002:7<1263::AID-EJOC1263>3.0.CO;2-6
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/cc5lyj6
title: CCDC 167168: Experimental Crystal Structure Determination

description: Related Article: A.S.K.Hashmi, M.A.Grundl, J.W.Bats, M.Bolte|2002|Eur.J.Org.Chem.|2002|1263|doi:10.1002/1099-0690(200204)2002:7<1263::AID-EJOC1263>3.0.CO;2-6
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/cc5lyk7
title: CCDC 167169: Experimental Crystal Structure Determination

description: Related Article: A.S.K.Hashmi, M.A.Grundl, J.W.Bats, M.Bolte|2002|Eur.J.Org.Chem.|2002|1263|doi:10.1002/1099-0690(200204)2002:7<1263::AID-EJOC1263>3.0.CO;2-6
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/cc5hy9w
title: CCDC 164278: Experimental Crystal Structure Determination

description: Related Article: A.Elarraoui, J.Ros, R.Yanez, X.Solans, M.Font-Bardia|2002|J.Organomet.Chem.|642|107|doi:10.1016/S0022-328X(01)01177-9
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/cc5lyl8
title: CCDC 167170: Experimental Crystal Structure Determination

description: Related Article: A.S.K.Hashmi, M.A.Grundl, J.W.Bats, M.Bolte|2002|Eur.J.Org.Chem.|2002|1263|doi:10.1002/1099-0690(200204)2002:7<1263::AID-EJOC1263>3.0.CO;2-6
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: 10.15468/dl.ty8mp9
title: Occurrence Download

description: A dataset containing 2222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Uropappus lindleyi"
 ]
}

 The dataset includes 2222 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012327-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc5r7y2
title: CCDC 171304: Experimental Crystal Structure Determination

description: Related Article: M.A.O.Volland, F.Rominger, F.Eisentrager, P.Hofmann|2002|J.Organomet.Chem.|641|220|doi:10.1016/S0022-328X(01)01361-4
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/cc5r7z3
title: CCDC 171305: Experimental Crystal Structure Determination

description: Related Article: M.A.O.Volland, F.Rominger, F.Eisentrager, P.Hofmann|2002|J.Organomet.Chem.|641|220|doi:10.1016/S0022-328X(01)01361-4
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/cc5ky4s
title: CCDC 166195: Experimental Crystal Structure Determination

description: Related Article: M.Crespo, M.Font-Bardia, S.Perez, X.Solans|2002|J.Organomet.Chem.|642|171|doi:10.1016/S0022-328X(01)01230-X
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: 10.15156/bio/sh1285459.10fu
title: SH1285459.10FU

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/sh1285466.10fu
title: SH1285466.10FU

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/sh1285468.10fu
title: SH1285468.10FU

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/sh1285471.10fu
title: SH1285471.10FU

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/sh1285472.10fu
title: SH1285472.10FU

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/sh1285473.10fu
title: SH1285473.10FU

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/sh1285477.10fu
title: SH1285477.10FU

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/sh1285479.10fu
title: SH1285479.10FU

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: 10.5281/zenodo.18169352
title: Data and code for "Antarctic Ozone Loss Shapes Surface Cooling Pattern and Climate Sensitivity"

description: Reproducibility Package

This repository contains the data and code required to reproduce all figures in the manuscript“Antarctic Ozone Loss Shapes Surface Cooling Pattern and Climate Sensitivity.”

Code Environment

All analyses are implemented in Python using Jupyter notebooks. The code has been tested with the following software versions:





Python 3.12.4




notebook 7.2.1




matplotlib 3.8.4




xarray 2023.6.0




numpy 1.26.4




scipy 1.13.1




netCDF4 1.7.2




pandas 2.2.2




cartopy 0.22.0




cmocean 4.0.3




tqdm 4.66.5



Data and Code Setup





Download all data files and unzip them into a single directory.




Download the code archive and unzip it into the same directory as the data.



The directory structure is designed so that the notebooks can be executed without modifying any file paths.

Usage

Each Jupyter notebook is named according to the figure it reproduces in the manuscript. Running a notebook will generate the corresponding figure directly.
DOI: 10.5281/zenodo.18169353
title: Data and code for "Antarctic Ozone Loss Shapes Surface Cooling Pattern and Climate Sensitivity"

description: Reproducibility Package

This repository contains the data and code required to reproduce all figures in the manuscript“Antarctic Ozone Loss Shapes Surface Cooling Pattern and Climate Sensitivity.”

Code Environment

All analyses are implemented in Python using Jupyter notebooks. The code has been tested with the following software versions:





Python 3.12.4




notebook 7.2.1




matplotlib 3.8.4




xarray 2023.6.0




numpy 1.26.4




scipy 1.13.1




netCDF4 1.7.2




pandas 2.2.2




cartopy 0.22.0




cmocean 4.0.3




tqdm 4.66.5



Data and Code Setup





Download all data files and unzip them into a single directory.




Download the code archive and unzip it into the same directory as the data.



The directory structure is designed so that the notebooks can be executed without modifying any file paths.

Usage

Each Jupyter notebook is named according to the figure it reproduces in the manuscript. Running a notebook will generate the corresponding figure directly.