cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/qmq-a0e-w59
title: Savignyella lafontii (Audouin, 1826)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6084/m9.figshare.29176220
title: Supplemental tables: "Early-life gut microbiome maturity regulates blood-brain barrier and cognitive development"

description: Tables S1 to S11 for the paper "Early-life gut microbiome maturity regulates blood-brain barrier and cognitive development" are included here.Legends<b>Table S1.</b> Relative abundances of gut bacteria at phylum and genus level in human donors.<b>Table S2.</b> Statistical analyses for behavioral assays, including tests for sex differences. Tab 1: Fear conditioning. Tab 2: Open field test. Tab 3: Morris water maze.<b>Table S3. </b>Comparison of volumes of fourteen different brain regions between MTerm and MPreterm mice at two and three weeks of age.<b>Table S4. </b>Significant DEGs between MTerm and MPreterm mice in BBB-relevant cell types. Tab 1: Endothelial cells. Tab 2: Astrocytes. Tab 3: Mural cells. Tab 4: Fibroblasts.<b>Table S5. </b>GSEA results for comparisons between MTerm and MPreterm BBB-relevant cell types. Tab 1: Endothelial cells. Tab 2: Astrocytes. Tab 3: Mural cells. Tab 4: Fibroblasts.<b>Table S6. </b>Synaptic signaling-annotated genes (GO:0099536) differentially expressed in MTerm and MPreterm endothelial cells and astrocytes.<b> </b>Tab 1: Endothelial cells. Tab 2: Astrocytes.<b>Table S7. </b>GSEA results for comparisons between MTerm and MPreterm endothelial and astrocyte sub-clusters<b>. </b>Tab 1: AEAs. Tab 2: ARAs. Tab 3: IMAs. Tab 4: SCAs. Tab 5: SSAs. Tab 6: AVECs. Tab 7: BR-CECs. Tab 8: VM-CECs.<b>Table S8. </b>Levels of all metabolites captured from MTerm and MPreterm serum.<b>Table S9. </b>Metagenomic pathways present at significantly different levels in MTerm and MPreterm mice.<b>Table S10.</b> Sample sizes and breakdown by treatment, age, and sex for all experiments.<b>Table S11. </b>Number of litters and number of mice used from each litter for each experiment.
DOI: 10.6084/m9.figshare.29176220.v1
title: Supplemental tables: "Early-life gut microbiome maturity regulates blood-brain barrier and cognitive development"

description: Tables S1 to S11 for the paper "Early-life gut microbiome maturity regulates blood-brain barrier and cognitive development" are included here.Legends<b>Table S1.</b> Relative abundances of gut bacteria at phylum and genus level in human donors.<b>Table S2.</b> Statistical analyses for behavioral assays, including tests for sex differences. Tab 1: Fear conditioning. Tab 2: Open field test. Tab 3: Morris water maze.<b>Table S3. </b>Comparison of volumes of fourteen different brain regions between MTerm and MPreterm mice at two and three weeks of age.<b>Table S4. </b>Significant DEGs between MTerm and MPreterm mice in BBB-relevant cell types. Tab 1: Endothelial cells. Tab 2: Astrocytes. Tab 3: Mural cells. Tab 4: Fibroblasts.<b>Table S5. </b>GSEA results for comparisons between MTerm and MPreterm BBB-relevant cell types. Tab 1: Endothelial cells. Tab 2: Astrocytes. Tab 3: Mural cells. Tab 4: Fibroblasts.<b>Table S6. </b>Synaptic signaling-annotated genes (GO:0099536) differentially expressed in MTerm and MPreterm endothelial cells and astrocytes.<b> </b>Tab 1: Endothelial cells. Tab 2: Astrocytes.<b>Table S7. </b>GSEA results for comparisons between MTerm and MPreterm endothelial and astrocyte sub-clusters<b>. </b>Tab 1: AEAs. Tab 2: ARAs. Tab 3: IMAs. Tab 4: SCAs. Tab 5: SSAs. Tab 6: AVECs. Tab 7: BR-CECs. Tab 8: VM-CECs.<b>Table S8. </b>Levels of all metabolites captured from MTerm and MPreterm serum.<b>Table S9. </b>Metagenomic pathways present at significantly different levels in MTerm and MPreterm mice.<b>Table S10.</b> Sample sizes and breakdown by treatment, age, and sex for all experiments.<b>Table S11. </b>Number of litters and number of mice used from each litter for each experiment.
DOI: 10.3535/7l4-z2e-vbd
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dqg-9m2-gw4
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/az3-9e9-2ps
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ec3-y7c-wpr
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/41c-p4e-5gk
title: Calpensia Jullien, 1888

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qtc-v80-erz
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15156/bio/sh1414630.10fu
title: SH1414630.10FU

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/sh1414631.10fu
title: SH1414631.10FU

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/sh1414632.10fu
title: SH1414632.10FU

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/sh1414633.10fu
title: SH1414633.10FU

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/sh1414634.10fu
title: SH1414634.10FU

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/sh1414635.10fu
title: SH1414635.10FU

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/sh1414636.10fu
title: SH1414636.10FU

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/sh1414637.10fu
title: SH1414637.10FU

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/sh1414638.10fu
title: SH1414638.10FU

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/sh1414639.10fu
title: SH1414639.10FU

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.18216492
title: Youth Aggression Cohort Catalogue: a global metadata resource on cohorts with genetic and aggression-related data in children and adolescents

description: This repository contains the Youth Aggression Cohort Catalogue, a curated, cohort-level metadata table describing 44 cohorts with genetic data and aggression-relevant phenotypes in children and adolescents.


- Method + code source (GitLab): https://gitlab.rz.uni-frankfurt.de/cap_molgenlab/aggressioncohortcatalogue  

- Interactive catalogue browser (Streamlit): https://accapp-2b.streamlit.app/
DOI: 10.25549/pcra-ouc11399camj
title: Primiritel' = [Reconciler], vol. 3, no. 7 (July 1931)

description: Monthly
DOI: 10.25549/pcra-ouc11399camt
title: Primiritel' = [Reconciler], vol. 3, no. 12 (December 1931)

description: Monthly
DOI: 10.25549/pcra-ouc11399camv
title: Primiritel' = [Reconciler], vol. 4, no. 2 (February 1932)

description: Monthly
DOI: 10.15468/dl.4udb7p
title: Occurrence Download

description: A dataset containing 20778697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is Aves",
 "Year 1826-2026"
 ]
}

 The dataset includes 20778697 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000382-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-ouc11399cdyy
title: Seiatel' istiny = The sower of truth, vol. 17, no. 9 (September 1932)

description: Monthly
DOI: 10.6084/m9.figshare.31427807
title: The impact of guide sign informational density on driver cognitive load: An integrated simulator and real-world driving study

description: In road sign design, inappropriate layout can easily lead to excessive cognitive load on drivers. This hinders their ability to effectively allocate attention, resulting in missed critical road information and increased accident risks. Through empirical studies on drivers’ visual recognition characteristics and cognitive load, this study investigates the rationality of information volume settings in urban road guide signs. It employed a combination of simulation experiments and real vehicle tests. An information volume calculation model for guide signs was established. The visual recognition simulation experiment was designed to collect data. Real vehicle experiment was conducted to dynamically record drivers’ physiological indicators. A cognitive load assessment model was developed to explore the reasonable range of information density for sequentially signs. From the perspective of ensuring reasonable visual recognition accuracy, the information volume of a single guide sign should be less than 90 bit on arterial roads and below 95 bit on secondary distributor roads. Real vehicle test results indicate that when the information density is below 9.1 bit/s, drivers experience relatively low cognitive load. When the information density exceeds 10.7 bit/s, cognitive load increases significantly. To ensure driving comfort and safety, the information density of signs should not exceed 12.0 bit/s. The information volume on guide sign should be maintained within a reasonable range. The information density of successive signs significantly influences drivers’ cognitive load levels. These findings provide theoretical guidance and practical recommendations for optimizing the information design of urban guide signs and enhancing traffic safety.
DOI: 10.6084/m9.figshare.31427807.v1
title: The impact of guide sign informational density on driver cognitive load: An integrated simulator and real-world driving study

description: In road sign design, inappropriate layout can easily lead to excessive cognitive load on drivers. This hinders their ability to effectively allocate attention, resulting in missed critical road information and increased accident risks. Through empirical studies on drivers’ visual recognition characteristics and cognitive load, this study investigates the rationality of information volume settings in urban road guide signs. It employed a combination of simulation experiments and real vehicle tests. An information volume calculation model for guide signs was established. The visual recognition simulation experiment was designed to collect data. Real vehicle experiment was conducted to dynamically record drivers’ physiological indicators. A cognitive load assessment model was developed to explore the reasonable range of information density for sequentially signs. From the perspective of ensuring reasonable visual recognition accuracy, the information volume of a single guide sign should be less than 90 bit on arterial roads and below 95 bit on secondary distributor roads. Real vehicle test results indicate that when the information density is below 9.1 bit/s, drivers experience relatively low cognitive load. When the information density exceeds 10.7 bit/s, cognitive load increases significantly. To ensure driving comfort and safety, the information density of signs should not exceed 12.0 bit/s. The information volume on guide sign should be maintained within a reasonable range. The information density of successive signs significantly influences drivers’ cognitive load levels. These findings provide theoretical guidance and practical recommendations for optimizing the information design of urban guide signs and enhancing traffic safety.
DOI: 10.5281/zenodo.17204343
title: Data for Current and Projected Reforestation Need for the Pacific Northwest, USA

description: This publication archives spatial layers that were derived for use in the publication “Current and Projected Reforestation Need for the Pacific Northwest”. The project, led by American Forests and in conjunction with the Oregon Department of Forestry (ODF) and the Washington Department of Natural Resources (WADNR), sought to estimate reforestation need generated by harvest and wildfire from 2014 through 2023 and to project reforestation need from wildfire through mid-century.
DOI: 10.5281/zenodo.17204344
title: Data for Current and Projected Reforestation Need for the Pacific Northwest, USA

description: This publication archives spatial layers that were derived for use in the publication “Current and Projected Reforestation Need for the Pacific Northwest”. The project, led by American Forests and in conjunction with the Oregon Department of Forestry (ODF) and the Washington Department of Natural Resources (WADNR), sought to estimate reforestation need generated by harvest and wildfire from 2014 through 2023 and to project reforestation need from wildfire through mid-century.
DOI: 10.25549/pcra-ouc11399cahj
title: Primiritel' = [Reconciler], vol. 1, no. 2 (September 1929)

description: Monthly
DOI: 10.25549/pcra-ouc11399caig
title: Primiritel' = [Reconciler], vol. 2, no. 10 (October 1930)

description: Monthly