cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2m9j1j
title: CCDC 2422217: Experimental Crystal Structure Determination

description: Related Article: Jacob U. Abulkhaev, Artem V. Semenov, Daniil M. Ivanov, Irina I. Fedorova, Eugene V. Ignatov, Ekaterina A. Radiush, Sergey V. Baykov, Nadezhda A. Bokach|2025|Inorg.Chim.Acta|587|122817|doi:10.1016/j.ica.2025.122817
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.cc2m94fj
title: CCDC 2421857: Experimental Crystal Structure Determination

description: Related Article: Jacob U. Abulkhaev, Artem V. Semenov, Daniil M. Ivanov, Irina I. Fedorova, Eugene V. Ignatov, Ekaterina A. Radiush, Sergey V. Baykov, Nadezhda A. Bokach|2025|Inorg.Chim.Acta|587|122817|doi:10.1016/j.ica.2025.122817
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.cc2n0pds
title: CCDC 2443525: Experimental Crystal Structure Determination

description: Related Article: Zhang-Juan Li, Ming Hu, Rong-Qing Yuan, Ling Jia, Ya-Xuan Ma, Zhou Liu, Meng-Xia Shen, Gui-Fa Zhu, Gan-peng Li, Xing-De Wu|2025|Fitoterapia|185|106680|doi:10.1016/j.fitote.2025.106680
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.cc2nbyrq
title: CCDC 2453394: Experimental Crystal Structure Determination

description: Related Article: Akash M Purohit, Rishi I Patel, Vidhi Bhatt, Elias Mosaffa, Biswajit Bhattacharya, Arun K Manna, Bragadish Iyer, Franziska Emmerling, Atanu Banerjee|2025|J.Mol.Struct.|1345|143001|doi:10.1016/j.molstruc.2025.143001
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.cc2nbysr
title: CCDC 2453395: Experimental Crystal Structure Determination

description: Related Article: Akash M Purohit, Rishi I Patel, Vidhi Bhatt, Elias Mosaffa, Biswajit Bhattacharya, Arun K Manna, Bragadish Iyer, Franziska Emmerling, Atanu Banerjee|2025|J.Mol.Struct.|1345|143001|doi:10.1016/j.molstruc.2025.143001
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.cc2mpbwk
title: CCDC 2433589: Experimental Crystal Structure Determination

description: Related Article: António G. Costa, Pedro M.P. Vees, G. Lopes, Isabel C. Santos, Dulce Simão, Stéphane A. Baudron, Manuel Almeida, Sandra Rabaça|2025|J.Mol.Struct.|1344|142940|doi:10.1016/j.molstruc.2025.142940
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.cc2n6mzh
title: CCDC 2449247: Experimental Crystal Structure Determination

description: Related Article: Youness El Bakri, Shaaban K. Mohamed, Atazaz Ahsin, Mustafa R. Abayati, Sahar M.I. Elgarhy, Hatem A. Abuelizz, Rashad Al-Salahi, Muhammad Ashfaq|2025|J.Indian Chem.Soc.|102|101843|doi:10.1016/j.jics.2025.101843
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.cc2nbyts
title: CCDC 2453396: Experimental Crystal Structure Determination

description: Related Article: Akash M Purohit, Rishi I Patel, Vidhi Bhatt, Elias Mosaffa, Biswajit Bhattacharya, Arun K Manna, Bragadish Iyer, Franziska Emmerling, Atanu Banerjee|2025|J.Mol.Struct.|1345|143001|doi:10.1016/j.molstruc.2025.143001
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.15779825
title: MAISHIY LEKSIKANING USLUBIY FUNKSIYALARI: PUBLITSISTIK, BADIIY VA OG'ZAKI NUTQDA QO'LLANISHI
DOI: 10.5281/zenodo.15779824
title: MAISHIY LEKSIKANING USLUBIY FUNKSIYALARI: PUBLITSISTIK, BADIIY VA OG'ZAKI NUTQDA QO'LLANISHI
DOI: 10.15468/dl.gmhjw8
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cylindropuntia prolifera (Engelm.) F.M.Knuth",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 71 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083333-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6msmdq
title: Occurrence Download

description: A dataset containing 1813 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limnonectes magnus (Stejneger, 1910)"
 ]
}

 The dataset includes 1813 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083334-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15762931
title: Dataset for "Toward reliable viability assessment for resilient life stages of invertebrates in ballast water" (VIABLEGG project)

description: This dataset contains the experimental data supporting the tables and figures presented in the report “Toward reliable viability assessment for resilient life stages of invertebrates in ballast water” by Elena Gorokhova, Pia Haecky, Rehab El-Shehawy, Nick Blackburn, Sandra Luecke-Johansson, and Elina Viinamäki.

The data were generated during viability assay development and evaluation experiments involving multiple marine and freshwater invertebrates (Brachionus plicatilis, Artemia salina, Monoporeia affinis, Nitocra spinipes). Various staining methods were tested on live and heat-killed individuals, and staining intensity was quantified using image-based fluorescence analysis, expressed in Relative Fluorescence Intensity (RFI) or converted to Arbitrary Units (AU).

Contents:The Excel file includes multiple sheets, each corresponding to a specific figure or table from the report. It contains:





Treatment group details (e.g., species, stain, condition)




Mean fluorescence/staining intensity




Standard deviations




Sample sizes (typically 14–25 observations per group)




Notes on anatomical regions analyzed (e.g., egg sacs vs. body)



Some values are based on direct image analysis; others are estimated or simulated to match qualitative observations from microscopy images, as indicated in the report.

Usage:This dataset is intended to support transparency and reusability of the visual and quantitative outcomes in the project report. It may be useful for method comparison, future assay validation, or exploratory data analysis in viability assessment of aquatic invertebrates.

Project link:https://www.growkudos.com/projects/toward-reliable-viability-assessment-for-resilient-life-stages-of-invertebrates-in-ballast-water

Format:Microsoft Excel (.xlsx), UTF-8 compatible.
DOI: 10.5281/zenodo.15762932
title: Dataset for "Toward reliable viability assessment for resilient life stages of invertebrates in ballast water" (VIABLEGG project)

description: This dataset contains the experimental data supporting the tables and figures presented in the report “Toward reliable viability assessment for resilient life stages of invertebrates in ballast water” by Elena Gorokhova, Pia Haecky, Rehab El-Shehawy, Nick Blackburn, Sandra Luecke-Johansson, and Elina Viinamäki.

The data were generated during viability assay development and evaluation experiments involving multiple marine and freshwater invertebrates (Brachionus plicatilis, Artemia salina, Monoporeia affinis, Nitocra spinipes). Various staining methods were tested on live and heat-killed individuals, and staining intensity was quantified using image-based fluorescence analysis, expressed in Relative Fluorescence Intensity (RFI) or converted to Arbitrary Units (AU).

Contents:The Excel file includes multiple sheets, each corresponding to a specific figure or table from the report. It contains:





Treatment group details (e.g., species, stain, condition)




Mean fluorescence/staining intensity




Standard deviations




Sample sizes (typically 14–25 observations per group)




Notes on anatomical regions analyzed (e.g., egg sacs vs. body)



Some values are based on direct image analysis; others are estimated or simulated to match qualitative observations from microscopy images, as indicated in the report.

Usage:This dataset is intended to support transparency and reusability of the visual and quantitative outcomes in the project report. It may be useful for method comparison, future assay validation, or exploratory data analysis in viability assessment of aquatic invertebrates.

Project link:https://www.growkudos.com/projects/toward-reliable-viability-assessment-for-resilient-life-stages-of-invertebrates-in-ballast-water

Format:Microsoft Excel (.xlsx), UTF-8 compatible.
DOI: 10.15468/dl.4wq77j
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cypripedium macranthos Sw."
 ]
}

 The dataset includes 37 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083336-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f8qfmx
title: Occurrence Download

description: A dataset containing 970 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chrysichthys nigrodigitatus (Lacepède, 1803))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 970 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083335-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.72ffk05r
title: AGRINION - Stele funeraria di Philinos
title: Agrinion 87

description: buono
description: numero di inventario
description: Source: Socal, Michela
description: Provenance: 1.0
description: Provenance: Dorsoduro 3484/D Venezia
description: Provenance: Italia
description: Provenance: Università Ca' Foscari
description: Provenance: Venezia
description: Provenance: primo piano
description: Provenance: 2.0
description: created: 1981-1985
DOI: 10.7910/dvn/pqtwvz
title: ESG Scoring and Forecasting in China

description: This Data is about ESG scoring paradigm specifically designed for the Chinese market. Built on a robust foundation. this datal encompasses an 11-year trajectory of 1,496 companies.
DOI: 10.34847/nkl.73068321
title: Inventaire des matériaux de construction romains dans le Nord-Est de la France

description: Ce jeu de données a été rassemblé dans le cadre d’une thèse doctorale intitulée « Terres et pierres pour matières de cultures : l’apparition et la diffusion de nouveaux matériaux et mode de construction dans le Nord-Est de la Gaule romaine (IIème siècle avant J.-C. – IIème siècle après J.-C.) » et soutenue le 15 novembre 2017 par Florent Delencre à l’université de Bourgogne.
La base de données a été constituée par le récolement systématique des matériaux de construction romains mentionnés dans les rapports d’opérations archéologiques, dans les ouvrages et articles publiés, ainsi que dans différents répertoires. Les données intégrées sont décrites au sein de plusieurs catégories permettant d’attribuer une identité à chacun des sites archéologiques concernés, tout en permettant de différencier les phases chronologiques pour un même ensemble.
Ces différentes catégories correspondent aux informations spatiales (permettant la localisation des sites archéologiques, à savoir le département, la commune, le numéro INSEE et les coordonnées en Lambert 93), aux informations contextuelles (phasages chronologiques et interprétations des bâtiments concernés), aux informations archéologiques (mise en œuvre des matériaux de construction) et aux informations bibliographiques (par l’appel des sources d’origine des informations récoltées, la mention des cartes archéologiques régionales concernées, ainsi que les numéros d’Entités Archéologiques et d’Opérations Archéologiques attribués par les Services Régionaux de l’Archéologie.
Les appels bibliographiques renvoient à la liste des références citées dans la thèse déposée dans HAL.
DOI: 10.15468/dl.hgjwe8
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cylindropuntia spinosior (Engelm.) F.M.Knuth",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 71 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083337-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8km6ym
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dolistenus humicolus (Verhoeff, 1926))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083338-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4v3a89
title: Occurrence Download

description: A dataset listing the 32664 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 32664 records were derived from 971 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083329-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1087818.10fu
title: SH1087818.10FU

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/sh1087819.10fu
title: SH1087819.10FU

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/sh1087823.10fu
title: SH1087823.10FU

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/sh1087827.10fu
title: SH1087827.10FU

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/sh1087828.10fu
title: SH1087828.10FU

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/sh1087829.10fu
title: SH1087829.10FU

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/sh1087831.10fu
title: SH1087831.10FU

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.