cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc9cgtx
title: CCDC 279149: Experimental Crystal Structure Determination

description: Related Article: Li-Cheng Song, Zhi-Yong Yang, Hong-Zhu Bian, Yang Liu, Hu-Ting Wang, Xu-Feng Liu, Qing-Mei Hu|2005|Organometallics|24|6126|doi:10.1021/om0507373
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/cc9cglp
title: CCDC 279142: Experimental Crystal Structure Determination

description: Related Article: P.C.Andrews, M.Brym, C.Jones, P.C.Junk, M.Kloth|2006|Inorg.Chim.Acta|359|355|doi:10.1016/j.ica.2005.08.009
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/cc9cgmq
title: CCDC 279143: Experimental Crystal Structure Determination

description: Related Article: P.C.Andrews, M.Brym, C.Jones, P.C.Junk, M.Kloth|2006|Inorg.Chim.Acta|359|355|doi:10.1016/j.ica.2005.08.009
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/cc9cgnr
title: CCDC 279144: Experimental Crystal Structure Determination

description: Related Article: P.C.Andrews, M.Brym, C.Jones, P.C.Junk, M.Kloth|2006|Inorg.Chim.Acta|359|355|doi:10.1016/j.ica.2005.08.009
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/cc9cgps
title: CCDC 279145: Experimental Crystal Structure Determination

description: Related Article: P.C.Andrews, M.Brym, C.Jones, P.C.Junk, M.Kloth|2006|Inorg.Chim.Acta|359|355|doi:10.1016/j.ica.2005.08.009
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/cc9cgqt
title: CCDC 279146: Experimental Crystal Structure Determination

description: Related Article: P.C.Andrews, M.Brym, C.Jones, P.C.Junk, M.Kloth|2006|Inorg.Chim.Acta|359|355|doi:10.1016/j.ica.2005.08.009
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/cc9d9b9
title: CCDC 279940: Experimental Crystal Structure Determination

description: Related Article: S.Hayano, Y.Tsunogae|2006|Macromolecules|39|30|doi:10.1021/ma052088c
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/cc9d9cb
title: CCDC 279941: Experimental Crystal Structure Determination

description: Related Article: S.Hayano, Y.Tsunogae|2006|Macromolecules|39|30|doi:10.1021/ma052088c
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/cc9j756
title: CCDC 283717: Experimental Crystal Structure Determination

description: Related Article: T.Okubo, R.Maeda, M.Kondo, T.Mitani, S.Kitagawa|2006|Chem.Lett.|35|34|doi:10.1246/cl.2006.34
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/cc9pvrk
title: CCDC 289129: Experimental Crystal Structure Determination

description: Related Article: K.Matsumoto, J.Ikeda, H.Kurata, T.Kawase, M.Oda|2006|Chem.Lett.|35|74|doi:10.1246/cl.2006.74
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/cc9pvsl
title: CCDC 289130: Experimental Crystal Structure Determination

description: Related Article: K.Matsumoto, J.Ikeda, H.Kurata, T.Kawase, M.Oda|2006|Chem.Lett.|35|74|doi:10.1246/cl.2006.74
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/cc9qx96
title: CCDC 290138: Experimental Crystal Structure Determination

description: Related Article: S.Kyushin, Y.Ueta, R.Tanaka, H.Matsumoto|2006|Chem.Lett.|35|182|doi:10.1246/cl.2006.182
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/cc9qxb7
title: CCDC 290139: Experimental Crystal Structure Determination

description: Related Article: S.Kyushin, Y.Ueta, R.Tanaka, H.Matsumoto|2006|Chem.Lett.|35|182|doi:10.1246/cl.2006.182
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/cc9qxc8
title: CCDC 290140: Experimental Crystal Structure Determination

description: Related Article: S.Kyushin, Y.Ueta, R.Tanaka, H.Matsumoto|2006|Chem.Lett.|35|182|doi:10.1246/cl.2006.182
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/cc9mx5z
title: CCDC 287251: Experimental Crystal Structure Determination

description: Related Article: N.Nagahora, T.Sasamori, N.Tokitoh|2006|Chem.Lett.|35|220|doi:10.1246/cl.2006.220
description: Related Article: N.Nagahora, T.Sasamori, Y.Watanabe, Y.Furukawa, N.Tokitoh|2007|Bull.Chem.Soc.Jpn.|80|1884|doi:10.1246/bcsj.80.1884
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.3nmj94
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((128.7612263581174 -3.6723130240802555,128.77289976011244 -3.6723130240802555,128.77289976011244 -3.6606396220852155,128.7612263581174 -3.6606396220852155,128.7612263581174 -3.6723130240802555))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010019-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bg57e3
title: Occurrence Download

description: A dataset containing 36817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36817 records from 429 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003759-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18773415
title: Dataset for: Fibrosis to Calcification in hDPSC-Derived OA Organoids

description: This dataset contains the raw data of the RNA-seq expression.
DOI: 10.5281/zenodo.18773414
title: Dataset for: Fibrosis to Calcification in hDPSC-Derived OA Organoids

description: This dataset contains the raw data of the RNA-seq expression.
DOI: 10.60593/ur.d.31390701.v1
title: Social Cognitive Domain Differences in Adolescent Information Management

description: Although differences in adolescent disclosure about their everyday activities to mothers and fathers are well-documented, less research has examined heterogeneity in disclosure, particularly to both parents jointly. Using latent profile analysis, this one-year longitudinal study examined patterns of adolescent disclosure to both parents across personal, multifaceted, and prudential issues, as defined within social-cognitive domain theory, as well as links to adjustment. The sample included 214 U.S. middle-class middle adolescents (<i>M</i><sub><em>age</em></sub><i> </i>= 15.96, <i>SD</i> = .83, 103 males). Adolescents completed surveys measuring disclosure to and relationship quality with each parent and adolescent adjustment over one year.
DOI: 10.60593/ur.d.31390701
title: Social Cognitive Domain Differences in Adolescent Information Management

description: Although differences in adolescent disclosure about their everyday activities to mothers and fathers are well-documented, less research has examined heterogeneity in disclosure, particularly to both parents jointly. Using latent profile analysis, this one-year longitudinal study examined patterns of adolescent disclosure to both parents across personal, multifaceted, and prudential issues, as defined within social-cognitive domain theory, as well as links to adjustment. The sample included 214 U.S. middle-class middle adolescents (<i>M</i><sub><em>age</em></sub><i> </i>= 15.96, <i>SD</i> = .83, 103 males). Adolescents completed surveys measuring disclosure to and relationship quality with each parent and adolescent adjustment over one year.
DOI: 10.5281/zenodo.18773429
title: Trypanosoma brucei brucei (strain TREU927) proteome

description: The genome for this species was sequenced and assembled by Berriman et al (2005. PMID: 16020726). The FASTA files for the annotated CDSs and proteins were downloaded from the TriTryDB repository (PMID: 36656904).
DOI: 10.5281/zenodo.18773428
title: Trypanosoma brucei brucei (strain TREU927) proteome

description: The genome for this species was sequenced and assembled by Berriman et al (2005. PMID: 16020726). The FASTA files for the annotated CDSs and proteins were downloaded from the TriTryDB repository (PMID: 36656904).
DOI: 10.5281/zenodo.18773463
title: INTEGRATED CHARACTERIZATION AND RECOVERY STRATEGIES FOR HOT-DIP GALVANIZING WASTES: GRANULOMETRIC, CHEMICAL, AND PHASE ANALYSIS FOR SUSTAINABLE ZINC AND IRON VALORIZATION

description: Hot-dip galvanizing (HDG) generates several zinc-and iron-bearing solid wastes—most notably top ash (zinc ash), bottom dross, galvanizing flue dust (GFD), and iron-rich sludges—whose hazardous classification is largely driven by high leachable Zn, chlorides, and associated impurities. GFD is typically an ultrafine material (particle size below 90 μm) and may contain ~27–30% Zn and significant chloride/ammonium phases, making targeted hydrometallurgical recycling attractive at small scale.

This paper synthesizes an “integrated characterization-to-flowsheet” strategy for HDG wastes, combining granulometric and morphological diagnosis, bulk chemical/impurity constraints, phase assemblage (chlorides/oxides/hydroxychlorides/intermetallics), and (iv) recovery route selection (selective leaching–purification–electrowinning; oxide/pigment valorization; immobilization where recycling is not feasible). From the analyzed literature set, robust recovery is demonstrated for GFD via two-step leaching and zinc production, GFD residue via concentrated acid leaching achieving very high Zn concentration and efficiency (e.g., 136.532 g/L and 96.24% Zn leached at 4 M H₂SO₄, L/S = 3, 10 min), (c) top ash via sulfuric leaching and electrowinning under controlled pH/current density, and (d) iron sludge valorization to hematite pigments after calcination/washing with major Zn/Cl removal.
DOI: 10.5281/zenodo.18773462
title: INTEGRATED CHARACTERIZATION AND RECOVERY STRATEGIES FOR HOT-DIP GALVANIZING WASTES: GRANULOMETRIC, CHEMICAL, AND PHASE ANALYSIS FOR SUSTAINABLE ZINC AND IRON VALORIZATION

description: Hot-dip galvanizing (HDG) generates several zinc-and iron-bearing solid wastes—most notably top ash (zinc ash), bottom dross, galvanizing flue dust (GFD), and iron-rich sludges—whose hazardous classification is largely driven by high leachable Zn, chlorides, and associated impurities. GFD is typically an ultrafine material (particle size below 90 μm) and may contain ~27–30% Zn and significant chloride/ammonium phases, making targeted hydrometallurgical recycling attractive at small scale.

This paper synthesizes an “integrated characterization-to-flowsheet” strategy for HDG wastes, combining granulometric and morphological diagnosis, bulk chemical/impurity constraints, phase assemblage (chlorides/oxides/hydroxychlorides/intermetallics), and (iv) recovery route selection (selective leaching–purification–electrowinning; oxide/pigment valorization; immobilization where recycling is not feasible). From the analyzed literature set, robust recovery is demonstrated for GFD via two-step leaching and zinc production, GFD residue via concentrated acid leaching achieving very high Zn concentration and efficiency (e.g., 136.532 g/L and 96.24% Zn leached at 4 M H₂SO₄, L/S = 3, 10 min), (c) top ash via sulfuric leaching and electrowinning under controlled pH/current density, and (d) iron sludge valorization to hematite pigments after calcination/washing with major Zn/Cl removal.
DOI: 10.15468/dl.bjvthq
title: Occurrence Download

description: A dataset containing 892564 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-129.49906 24.07326,-51.62189 24.07326,-51.62189 50.73755,-129.49906 50.73755,-129.49906 24.07326))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is one of (Odocoileus virginianus, Sciurus niger, Odocoileus hemionus columbianus, Sciurus carolinensis, Odocoileus hemionus, Procyon lotor, Canis latrans)"
 ]
}

 The dataset includes 892564 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000187-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14959351
title: Mahanagar Yatayat Transport Dataset
DOI: 10.5281/zenodo.18773474
title: CHOICE OF TREATMENT TACTICS FOR ACUTE APPENDICITIS IN PATIENTS WITH LIVER CIRRHOSIS
DOI: 10.5281/zenodo.18773473
title: CHOICE OF TREATMENT TACTICS FOR ACUTE APPENDICITIS IN PATIENTS WITH LIVER CIRRHOSIS
DOI: 10.15468/dl.ybuaej
title: Occurrence Download

description: A dataset containing 39484649 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia"
 ]
}

 The dataset includes 39484649 records from 4747 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000174-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6udnw
title: Occurrence Download

description: A dataset containing 6585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Casuarius casuarius)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 6585 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085843-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29764757
title: <b>GIS code and data_Procedural grassland scene construction</b>

description: Realistically modelling grasslands presents a persistent challenge because of their inherent structural complexity, extensive spatial coverage, and high component density. Previous research prioritized surface appearances through texture tilling, fundamentally neglecting the internal organizational principles that govern species compositions and component distributions. This work introduces a procedural framework for generating geographically plausible grassland scenes. We first integrate parametric scene modelling with visual perception theory to ensure visual realism and faithful reproductions of the observed colour distributions at the individual component level. Moreover, a deep neural network is developed to learn the underlying spatial distribution patterns of grassland components. This network enables the generation of new grassland imagery that preserves the learned statistical properties of colour and spatial attributes derived from reference samples. By coupling the framework with prepared 3D models, it can achieve a geographically consistent generation process across arbitrary spatial extents, effectively mitigating visual repetition and randomness. Validations demonstrate significant visual realism improvements across diverse grasslands. Our core findings establish that explicit modelling of component-level attributes and their spatial distribution patterns is essential for producing high-fidelity grassland scenes, providing novel insights for advancing toward the theory and practice of virtual geographical environments.
DOI: 10.6084/m9.figshare.29764757.v3
title: <b>GIS code and data_Procedural grassland scene construction</b>

description: Realistically modelling grasslands presents a persistent challenge because of their inherent structural complexity, extensive spatial coverage, and high component density. Previous research prioritized surface appearances through texture tilling, fundamentally neglecting the internal organizational principles that govern species compositions and component distributions. This work introduces a procedural framework for generating geographically plausible grassland scenes. We first integrate parametric scene modelling with visual perception theory to ensure visual realism and faithful reproductions of the observed colour distributions at the individual component level. Moreover, a deep neural network is developed to learn the underlying spatial distribution patterns of grassland components. This network enables the generation of new grassland imagery that preserves the learned statistical properties of colour and spatial attributes derived from reference samples. By coupling the framework with prepared 3D models, it can achieve a geographically consistent generation process across arbitrary spatial extents, effectively mitigating visual repetition and randomness. Validations demonstrate significant visual realism improvements across diverse grasslands. Our core findings establish that explicit modelling of component-level attributes and their spatial distribution patterns is essential for producing high-fidelity grassland scenes, providing novel insights for advancing toward the theory and practice of virtual geographical environments.
DOI: 10.6084/m9.figshare.29764757.v2
title: <b>GIS code and data_Procedural grassland scene construction</b>

description: Realistically modelling grasslands presents a persistent challenge because of their inherent structural complexity, extensive spatial coverage, and high component density. Previous research prioritized surface appearances through texture tilling, fundamentally neglecting the internal organizational principles that govern species compositions and component distributions. This work introduces a procedural framework for generating geographically plausible grassland scenes. We first integrate parametric scene modelling with visual perception theory to ensure visual realism and faithful reproductions of the observed colour distributions at the individual component level. Moreover, a deep neural network is developed to learn the underlying spatial distribution patterns of grassland components. This network enables the generation of new grassland imagery that preserves the learned statistical properties of colour and spatial attributes derived from reference samples. By coupling the framework with prepared 3D models, it can achieve a geographically consistent generation process across arbitrary spatial extents, effectively mitigating visual repetition and randomness. Validations demonstrate significant visual realism improvements across diverse grasslands. Our core findings establish that explicit modelling of component-level attributes and their spatial distribution patterns is essential for producing high-fidelity grassland scenes, providing novel insights for advancing toward the theory and practice of virtual geographical environments.
DOI: 10.15468/dl.fysax6
title: Occurrence Download

description: A dataset containing 37673 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Universidad de Oviedo. Departamento de Biología de Organismos y Sistemas: FCO"
 ]
}

 The dataset includes 37673 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085844-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.