cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/rfx5-7t75
title: Changying testate amoebae surface sample dataset

description: Raw data for the Changying testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/4zww-1615
title: Craigrossie pollen dataset

description: Raw data for the Craigrossie pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/nayy-wc94
title: Coyote Hills pollen dataset

description: Raw data for the Coyote Hills pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/vps1-f970
title: East Ujimqin Banner ostracode surface sample dataset

description: Raw data for the East Ujimqin Banner ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.13676387
title: Maternal and paternal mental health problems and the risk of offspring depression in late adolescence: findings from the Raine study

description: There are limited studies on the risk of depressive symptoms in adolescent offspring exposed to parental mental health problems in middle childhood. We investigated the association between parental mental health problems, particularly paternal emotional problems and maternal symptoms of anxiety and depression, and the risk of depressive symptoms in adolescent offspring aged 17. The study included 995 parent-offspring pairs from the 1989–91 birth cohort (the Raine Study) in Western Australia. Log-binomial regression was used to assess the associations. An increased risk of depression symptoms was observed in the adolescent offspring of mothers with depressive [RR 1.45, 95% CI 1.13–1.86] as well as anxiety symptoms [RR 1.43, 95% CI 1.09–1.87].Compared to those non-exposed, offspring whose mothers reported comorbid anxiety and depressive symptoms were more likely to have developed depressive symptoms by late adolescence [RR 1.63, 95%CI 1.11–2.38]. An increased risk of depressive symptoms was also seen in the offspring of fathers with emotional problems [RR 1.29, 95%CI 1.01–1.53]. Our findings suggest an increased risk of depressive symptoms in the adolescent offspring of parents with mental health problems, specifically paternal emotional problems (29%) and maternal anxiety (43%), depression (45%), as well as comorbid anxiety and depressive symptoms (63%).
DOI: 10.6084/m9.figshare.13676387.v1
title: Maternal and paternal mental health problems and the risk of offspring depression in late adolescence: findings from the Raine study

description: There are limited studies on the risk of depressive symptoms in adolescent offspring exposed to parental mental health problems in middle childhood. We investigated the association between parental mental health problems, particularly paternal emotional problems and maternal symptoms of anxiety and depression, and the risk of depressive symptoms in adolescent offspring aged 17. The study included 995 parent-offspring pairs from the 1989–91 birth cohort (the Raine Study) in Western Australia. Log-binomial regression was used to assess the associations. An increased risk of depression symptoms was observed in the adolescent offspring of mothers with depressive [RR 1.45, 95% CI 1.13–1.86] as well as anxiety symptoms [RR 1.43, 95% CI 1.09–1.87].Compared to those non-exposed, offspring whose mothers reported comorbid anxiety and depressive symptoms were more likely to have developed depressive symptoms by late adolescence [RR 1.63, 95%CI 1.11–2.38]. An increased risk of depressive symptoms was also seen in the offspring of fathers with emotional problems [RR 1.29, 95%CI 1.01–1.53]. Our findings suggest an increased risk of depressive symptoms in the adolescent offspring of parents with mental health problems, specifically paternal emotional problems (29%) and maternal anxiety (43%), depression (45%), as well as comorbid anxiety and depressive symptoms (63%).
DOI: 10.21233/pnvt-w133
title: ISOETES SO pollen surface sample dataset

description: Raw data for the ISOETES SO pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n6v7-9z65
title: Mirror Lake ('LB-1 Pond') diatom surface sample dataset

description: Raw data for the Mirror Lake ('LB-1 Pond') diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/8msw-wb87
title: Amsterdamse Waterleidingduinen Droge Kom pollen dataset

description: Raw data for the Amsterdamse Waterleidingduinen Droge Kom pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15389830
title: aegilops_tauschii_spades_01.fasta.gz
DOI: 10.5281/zenodo.15389831
title: aegilops_tauschii_spades_01.fasta.gz
DOI: 10.21233/kdpe-sp21
title: 45KLa vertebrate fauna dataset

description: Raw data for the 45KLa vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/kx45-fx91
title: Lake Whitney Inlet water chemistry dataset

description: Raw data for the Lake Whitney Inlet water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.e8vaz2
title: Occurrence Download

description: A dataset containing 778 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colomesus psittacus (Bloch & Schneider, 1801)"
 ]
}

 The dataset includes 778 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026651-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/3es2-0g66
title: Cruiser diatom surface sample dataset

description: Raw data for the Cruiser diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5517/ccdc.csd.cc2hyths
title: CCDC 2322566: Experimental Crystal Structure Determination

description: Related Article: Svyatoslav E. Tolstikov, Andrey E. Kolesnikov, Kristina A. Smirnova, Gleb A. Letyagin, Artem S. Bogomyakov, Galina V. Romanenko, Victor I. Ovcharenko|2025|New J.Chem.|49|7655|doi:10.1039/D5NJ00967G
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.cc2hytjt
title: CCDC 2322567: Experimental Crystal Structure Determination

description: Related Article: Svyatoslav E. Tolstikov, Andrey E. Kolesnikov, Kristina A. Smirnova, Gleb A. Letyagin, Artem S. Bogomyakov, Galina V. Romanenko, Victor I. Ovcharenko|2025|New J.Chem.|49|7655|doi:10.1039/D5NJ00967G
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.cc2hytlw
title: CCDC 2322569: Experimental Crystal Structure Determination

description: Related Article: Svyatoslav E. Tolstikov, Andrey E. Kolesnikov, Kristina A. Smirnova, Gleb A. Letyagin, Artem S. Bogomyakov, Galina V. Romanenko, Victor I. Ovcharenko|2025|New J.Chem.|49|7655|doi:10.1039/D5NJ00967G
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.cc2hyv3f
title: CCDC 2322585: Experimental Crystal Structure Determination

description: Related Article: Svyatoslav E. Tolstikov, Andrey E. Kolesnikov, Kristina A. Smirnova, Gleb A. Letyagin, Artem S. Bogomyakov, Galina V. Romanenko, Victor I. Ovcharenko|2025|New J.Chem.|49|7655|doi:10.1039/D5NJ00967G
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.rkh4vv
title: Occurrence Download

description: A dataset containing 76955 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aquila rapax (Temminck, 1828)"
 ]
}

 The dataset includes 76955 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026634-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/cxc2-mq20
title: Excelsior Basin charcoal dataset

description: Raw data for the Excelsior Basin charcoal dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.7274/28786130
title: Multi-Scale Optimization of Materials Using Machine Learning

description: Optimizing materials is crucial for advancing modern technologies, requiring analysis from atomic to microstructural scales. Traditional methods, including trial-and-error experiments and standard computational approaches, often struggle due to high computational costs and uncertainties in multi-scale optimization. This dissertation presents a machine learning-integrated framework to streamline material optimization across these scales.

At the atomic and molecular levels, the framework combines high-throughput molecular dynamics simulations with ML models to rapidly identify high-performance polymers with superior thermal conductivities. For larger scales, it employs gradient-free optimization and JAX-based differentiable finite element methods to efficiently solve inverse problems, determining heterogeneous material properties from indirect measurements. This strategy overcomes the limitations of traditional numerical solvers, which often lack gradient information.

To bridge multiple scales, the research incorporates uncertainty quantification, modeling, and optimization, enhancing the accuracy and reliability of the process. This integrated approach significantly improves material discovery and optimization, addressing key challenges in computational efficiency and predictive accuracy.
DOI: 10.7274/28786130.v1
title: Multi-Scale Optimization of Materials Using Machine Learning

description: Optimizing materials is crucial for advancing modern technologies, requiring analysis from atomic to microstructural scales. Traditional methods, including trial-and-error experiments and standard computational approaches, often struggle due to high computational costs and uncertainties in multi-scale optimization. This dissertation presents a machine learning-integrated framework to streamline material optimization across these scales.

At the atomic and molecular levels, the framework combines high-throughput molecular dynamics simulations with ML models to rapidly identify high-performance polymers with superior thermal conductivities. For larger scales, it employs gradient-free optimization and JAX-based differentiable finite element methods to efficiently solve inverse problems, determining heterogeneous material properties from indirect measurements. This strategy overcomes the limitations of traditional numerical solvers, which often lack gradient information.

To bridge multiple scales, the research incorporates uncertainty quantification, modeling, and optimization, enhancing the accuracy and reliability of the process. This integrated approach significantly improves material discovery and optimization, addressing key challenges in computational efficiency and predictive accuracy.
DOI: 10.21233/9kwy-at80
title: Giblin's Farm ostracode surface sample dataset

description: Raw data for the Giblin's Farm ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/sgkt-za73
title: SIER7 pollen surface sample dataset

description: Raw data for the SIER7 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.28589486
title: Supplemental Table 8

description: Number and type of Biosynthetic Gene Clusters (BGCs) predicted by antiSMASH v.5.1.0.
DOI: 10.6084/m9.figshare.28589492
title: Supplemental Table 7

description: List of the seven Xylariaceae sensu lato strains used in this study, their ecological mode, substrate information, and the number of BGCs and KEGG pathways detected in their genomes (data from Franco et al. 2022).
DOI: 10.6084/m9.figshare.28589492.v1
title: Supplemental Table 7

description: List of the seven Xylariaceae sensu lato strains used in this study, their ecological mode, substrate information, and the number of BGCs and KEGG pathways detected in their genomes (data from Franco et al. 2022).
DOI: 10.6084/m9.figshare.28589501
title: Supplemental Table 6

description: Subset of the putatively bioactive compounds, their frequency in xylarialean co-culture vs. monoculture, biological activities, uses, and previously reported biological sources.
DOI: 10.6084/m9.figshare.28589501.v1
title: Supplemental Table 6

description: Subset of the putatively bioactive compounds, their frequency in xylarialean co-culture vs. monoculture, biological activities, uses, and previously reported biological sources.
DOI: 10.6084/m9.figshare.28589507
title: Supplemental Table 5

description: Genes linked to compounds by MAGI using a 'MAGI score' ≥ 2, a 'reciprocal score' ≥ 1, and compound-gene connections labeled as 'direct', along with their functional annotation and prediction of HGT events derived from Franco et. al 2022.
DOI: 10.21233/04ev-r215
title: Wells Mastodon vertebrate fauna dataset

description: Raw data for the Wells Mastodon vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.28589480
title: Supplemental Table 9

description: Number of KEGG pathways identified in the genomes of the fungi used in this study. (A) The main pathway ("MainMap") is shown. (B) The main pathway ("MainMap") and the reference pathway ("SubMap") are shown.
DOI: 10.6084/m9.figshare.28589480.v1
title: Supplemental Table 9

description: Number of KEGG pathways identified in the genomes of the fungi used in this study. (A) The main pathway ("MainMap") is shown. (B) The main pathway ("MainMap") and the reference pathway ("SubMap") are shown.
DOI: 10.6084/m9.figshare.28589507.v1
title: Supplemental Table 5

description: Genes linked to compounds by MAGI using a 'MAGI score' ≥ 2, a 'reciprocal score' ≥ 1, and compound-gene connections labeled as 'direct', along with their functional annotation and prediction of HGT events derived from Franco et. al 2022.
DOI: 10.21233/mxbh-4y69
title: Gordon Lake water chemistry dataset

description: Raw data for the Gordon Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/pafm-2p78
title: Mercer Lake diatom dataset

description: Raw data for the Mercer Lake diatom dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/wa3j-mx78
title: Mamontovy Khayata pollen dataset

description: Raw data for the Mamontovy Khayata pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/235j-5c95
title: Yuanchi testate amoebae surface sample dataset

description: Raw data for the Yuanchi testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/kbqb-yf41
title: Beaver_PIRO diatom surface sample dataset

description: Raw data for the Beaver_PIRO diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/22yx-mt42
title: Hudspeth Local Fauna vertebrate fauna dataset

description: Raw data for the Hudspeth Local Fauna vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/jz7r-3894
title: Sigleo 1971 Grand Canyon Transect Site 23 pollen surface sample dataset

description: Raw data for the Sigleo 1971 Grand Canyon Transect Site 23 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/1mzs-4h37
title: ALBI14 pollen surface sample dataset

description: Raw data for the ALBI14 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.keqpu7
title: Occurrence Download

description: A dataset containing 7007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 7007 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026652-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/hqcz-yh47
title: Tewksbury Pond diatom surface sample dataset

description: Raw data for the Tewksbury Pond diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/jg4j-tw70
title: LDDsite2152 water chemistry dataset

description: Raw data for the LDDsite2152 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.