cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17242555
title: Population-based Brain Templates for Ultra-Low-Field MRI

description: Ultra-low-field (ULF) MRI currently lacks population-representative spatial priors, limiting robust alignment, normalization, and cross-study comparability. Our aim is to provide an open, standardized ULF brain template resource, comprising data and code, that enables reproducible spatial analysis and method development across ULF studies. We present group-average brain templates generated from 64\,mT MRI scans of 100 healthy adults, encompassing both T1- and T2-weighted contrasts and covering the full adult lifespan. Participants were stratified into three age groups to support both age-specific and population-level analyses. The preprocessing and registration pipeline employed established open-source neuroimaging tools and iterative averaging to enhance anatomical correspondence and consistency. The resource includes population and age-specific templates with accompanying example segmentations and complete scripts for full reproducibility. All data and code are openly available on Zenodo and GitHub in accordance with FAIR principles. By establishing a standardized reference space tailored to ULF imaging, this dataset facilitates normalization, morphometry, and benchmarking, and supports downstream applications such as segmentation, harmonization, and learning-based enhancement.
DOI: 10.6084/m9.figshare.30485414
title: Additional file 1 of Taurochenodeoxycholic acid promotes abdominal fat deposition by modulating the crosstalk between bile acid metabolism and intestinal microbiota in broilers

description: Additional file 1. The detailed information regarding the 16S rRNA sequencing data processing.
DOI: 10.6084/m9.figshare.30485414.v1
title: Additional file 1 of Taurochenodeoxycholic acid promotes abdominal fat deposition by modulating the crosstalk between bile acid metabolism and intestinal microbiota in broilers

description: Additional file 1. The detailed information regarding the 16S rRNA sequencing data processing.
DOI: 10.6084/m9.figshare.30485432
title: Additional file 1 of Emerging Neisseria meningitidis ST-1466 and ST-11026 as urogenital pathogens in China

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.30485432.v1
title: Additional file 1 of Emerging Neisseria meningitidis ST-1466 and ST-11026 as urogenital pathogens in China

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.30485442
title: Additional file 1 of TRIM32 promotes tumor immune evasion and impedes Anti–PD-1 treatment by inducing immunosuppressive macrophages in gastric cancer

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.30485442.v1
title: Additional file 1 of TRIM32 promotes tumor immune evasion and impedes Anti–PD-1 treatment by inducing immunosuppressive macrophages in gastric cancer

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.30485447.v1
title: Additional file 2 of Systematic discovery of subcellular RNA patterns in the gut epithelium

description: Additional files 2: Supplementary Tables 1-27. Table S1. Differential expression analysis results between DPP4 and GFP tethered APEX sequencing. Table S2. Categorized GO terms and Counts for the each categorized GO term. Table S3. GSEA of the APEX-seq data from DE results of DPP4. Table S4. Normalized gene counts of Mitochondria tagged samples. Table S5. Differential gene expression analysis results between ACTB and GFP and GO analysis results for ACTB enriched genes compared to GFP in APEX2 seq data. Table S6. Comparison between Apex2-seq and LCM data from [2]. Table S7. Z-score values of the selected transcripts from APEX sequencing. Table S8. smFISH quantification data using spot detection analysis. Table S9. smFISH quantification data of each ROI from the gradient spot detection analysis. Table S10. Quantification of diameter of RNA granules. Table S11. RBP-MS data comparison between Lct-3'UTR and Fluc. Table S12. RBP-MS data comparison between Net1-3'UTR and Fluc. Table S13. MERFISH 500 gene panel with barcode IDs. Table S14. Volume normalized MERFISH dot count differences between apical and basal sides of sIOs sections. Table S15. Shared gene list from UpSet plot on APEX-seq and sIOs-MERFISH data. Table S16. Wilcoxon test on sIOs-MERFISH data between apical and basal regions per gene. Table S17. Volume normalized MERFISH dot count differences between apical and basal sides of sIT sections. Table S18. Volume normalized MERFISH dot count for whole cell mass for sIT. Table S19. Venn diagram of sIOs and sIT (apical, basal and intersections). Table S20. Volume normalized MERFISH dot count differences between apical and basal sides of lIT sections. Table S21. Volume normalized MERFISH dot count for whole cell mass for lIT. Table S22. The scaled RNA-Protein plot with the GO categorization for villus Top and villus Bottom. Table S23. Plasmid IDs and sequences for APEX-seq and 3'UTR work. Table S24. qPCR results and primer information for mito APEX-seq. Table S25. Primer sequences for in vitro transcription. Table S26. Plasmid IDs and sequences for shRNA work. Table S27. qPCR results and primer information for shRNA work.
DOI: 10.6084/m9.figshare.30485447
title: Additional file 2 of Systematic discovery of subcellular RNA patterns in the gut epithelium

description: Additional files 2: Supplementary Tables 1-27. Table S1. Differential expression analysis results between DPP4 and GFP tethered APEX sequencing. Table S2. Categorized GO terms and Counts for the each categorized GO term. Table S3. GSEA of the APEX-seq data from DE results of DPP4. Table S4. Normalized gene counts of Mitochondria tagged samples. Table S5. Differential gene expression analysis results between ACTB and GFP and GO analysis results for ACTB enriched genes compared to GFP in APEX2 seq data. Table S6. Comparison between Apex2-seq and LCM data from [2]. Table S7. Z-score values of the selected transcripts from APEX sequencing. Table S8. smFISH quantification data using spot detection analysis. Table S9. smFISH quantification data of each ROI from the gradient spot detection analysis. Table S10. Quantification of diameter of RNA granules. Table S11. RBP-MS data comparison between Lct-3'UTR and Fluc. Table S12. RBP-MS data comparison between Net1-3'UTR and Fluc. Table S13. MERFISH 500 gene panel with barcode IDs. Table S14. Volume normalized MERFISH dot count differences between apical and basal sides of sIOs sections. Table S15. Shared gene list from UpSet plot on APEX-seq and sIOs-MERFISH data. Table S16. Wilcoxon test on sIOs-MERFISH data between apical and basal regions per gene. Table S17. Volume normalized MERFISH dot count differences between apical and basal sides of sIT sections. Table S18. Volume normalized MERFISH dot count for whole cell mass for sIT. Table S19. Venn diagram of sIOs and sIT (apical, basal and intersections). Table S20. Volume normalized MERFISH dot count differences between apical and basal sides of lIT sections. Table S21. Volume normalized MERFISH dot count for whole cell mass for lIT. Table S22. The scaled RNA-Protein plot with the GO categorization for villus Top and villus Bottom. Table S23. Plasmid IDs and sequences for APEX-seq and 3'UTR work. Table S24. qPCR results and primer information for mito APEX-seq. Table S25. Primer sequences for in vitro transcription. Table S26. Plasmid IDs and sequences for shRNA work. Table S27. qPCR results and primer information for shRNA work.
DOI: 10.6084/m9.figshare.29252591
title: Additional file 3 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.29252591.v2
title: Additional file 3 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.29252594
title: Additional file 4 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.29252594.v2
title: Additional file 4 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.29252591.v1
title: Additional file 3 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.29252594.v1
title: Additional file 4 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.29252597
title: Additional file 5 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.29252597.v2
title: Additional file 5 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.29252600
title: Additional file 6 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.29252600.v2
title: Additional file 6 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.29252603
title: Additional file 7 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 7
DOI: 10.6084/m9.figshare.29252603.v2
title: Additional file 7 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 7
DOI: 10.6084/m9.figshare.29252606
title: Additional file 8 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 8
DOI: 10.6084/m9.figshare.29252606.v2
title: Additional file 8 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 8
DOI: 10.6084/m9.figshare.29252597.v1
title: Additional file 5 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.29252600.v1
title: Additional file 6 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.29252603.v1
title: Additional file 7 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 7
DOI: 10.6084/m9.figshare.29252606.v1
title: Additional file 8 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 8
DOI: 10.6084/m9.figshare.29252609
title: Additional file 9 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 9
DOI: 10.6084/m9.figshare.29252609.v2
title: Additional file 9 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 9
DOI: 10.6084/m9.figshare.30485450
title: Additional file 1 of Comparative genomic analysis of a metagenome-assembled genome reveals distinctive symbiotic traits in a Mucoromycotina fine root endophyte arbuscular mycorrhizal fungus

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.29252609.v1
title: Additional file 9 of A role of arginase-1-expressing myeloid cells in cachexia

description: Supplementary Material 9
DOI: 10.6084/m9.figshare.30485450.v1
title: Additional file 1 of Comparative genomic analysis of a metagenome-assembled genome reveals distinctive symbiotic traits in a Mucoromycotina fine root endophyte arbuscular mycorrhizal fungus

description: Supplementary Material 1.
DOI: 10.15468/dl.fg34nr
title: Occurrence Download

description: A dataset containing 627 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Berberis wilsoniae",
 "HasCoordinate is true"
 ]
}

 The dataset includes 627 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007581-251025141854904/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.30485474
title: Additional file 1 of The distinct characteristics of the endophytic microbiome and metabolome within the root system result in varying abilities of watermelon resistance against Fusarium wilt

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.30485474.v1
title: Additional file 1 of The distinct characteristics of the endophytic microbiome and metabolome within the root system result in varying abilities of watermelon resistance against Fusarium wilt

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.30485480
title: Additional file 2 of Exposure to visual perturbations elicits adaptation in step kinematics during gait in those with chronic ankle instability

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.30485480.v1
title: Additional file 2 of Exposure to visual perturbations elicits adaptation in step kinematics during gait in those with chronic ankle instability

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.30485489
title: Additional file 2 of Dietary iron attenuates epigenetic aging through DNA methylation remodeling and extends survival in older adults

description: Additional file 2.
DOI: 10.6084/m9.figshare.30485489.v1
title: Additional file 2 of Dietary iron attenuates epigenetic aging through DNA methylation remodeling and extends survival in older adults

description: Additional file 2.
DOI: 10.34740/kaggle/dsv/13551077
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.f4g4d6
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aneflus obscurus"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007582-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xysd6v
title: Occurrence Download

description: A dataset containing 6473398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is Aix sponsa"
 ]
}

 The dataset includes 6473398 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007561-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4n7xpk
title: Occurrence Download

description: A dataset containing 2013 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Berberis amurensis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2013 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007583-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umc8ny
title: Occurrence Download

description: A dataset containing 467 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-69.24342 -33.07846,-68.82484 -33.07846,-68.82484 -32.85601,-69.24342 -32.85601,-69.24342 -33.07846))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 467 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007584-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21979/n9/fhf7wv
title: Preregistration documents for A systematic review on the effects of multilingual exposure on language and developmental outcomes in children with Autism Spectrum Disorder in different geographic and linguistic contexts

description: In the neurodevelopmental condition of Autism Spectrum Disorder (ASD), language and cognitive abilities can differ widely, ranging from minimal verbal speech to fluent language and from intellectual disability to average or above-average cognition. Given these diverse profiles, children with ASD growing up in multilingual environments may face unique challenges and opportunities in language development, social interaction, and adaptive functioning.  Early interventions have consistently been shown to improve developmental outcomes in children with ASD, particularly in areas of communication and social skills (Dawson et al., 2010; Rogers and Vismara, 2008). Simultaneously, an increasing number of children diagnosed with ASD are growing up in multilingual environments, especially in Asian contexts where bilingualism or multilingualism are common (Qiu et al., 2019). Among typically developing children, multilingual exposure has been associated with cognitive advantages such as enhanced executive functioning and metalinguistic awareness (Bialystok, 2015). However, the effects of multilingual exposure on children with ASD remain less clear.  Existing studies on language interventions for children with ASD have largely focused on Western contexts (Beauchamp et al., 2020), with participants predominantly drawn from monolingual language backgrounds. While some studies have explored bilingual or multilingual exposure, these remain largely situated within Western settings (Lim et al., 2025). Given these gaps, a systematic review examining the effects of bilingual or multilingual interventions for children with ASD across different global regions, including Western, Asian and other multilingual contexts such as South America and Africa is warranted. Specifically, it will compare language, social and other developmental outcomes related to school/workplace readiness for ASD children who receive no multilingual interventions. This dataset contains preregistration documents for the systematic review (under embargo until April 2026).
DOI: 10.6084/m9.figshare.30485547
title: Supplementary Material from Go above and beyond: Does input variability affect children's ability to learn spatial adpositions in a novel language?

description: appendices.tex
DOI: 10.6084/m9.figshare.30485547.v1
title: Supplementary Material from Go above and beyond: Does input variability affect children's ability to learn spatial adpositions in a novel language?

description: appendices.tex
DOI: 10.6084/m9.figshare.30485550
title: Supplementary Material from Go above and beyond: Does input variability affect children's ability to learn spatial adpositions in a novel language?

description: elsarticle-num-names.bst
DOI: 10.6084/m9.figshare.30485550.v1
title: Supplementary Material from Go above and beyond: Does input variability affect children's ability to learn spatial adpositions in a novel language?

description: elsarticle-num-names.bst
DOI: 10.6084/m9.figshare.30485556.v1
title: 100-words-summary-for-media from Go above and beyond: Does input variability affect children's ability to learn spatial adpositions in a novel language?

description: this is a 100 words summary for media
DOI: 10.6084/m9.figshare.30485556
title: 100-words-summary-for-media from Go above and beyond: Does input variability affect children's ability to learn spatial adpositions in a novel language?

description: this is a 100 words summary for media
DOI: 10.6084/m9.figshare.30485562
title: Supplementary Material from Go above and beyond: Does input variability affect children's ability to learn spatial adpositions in a novel language?

description: elsarticle-num.bst
DOI: 10.6084/m9.figshare.30485562.v1
title: Supplementary Material from Go above and beyond: Does input variability affect children's ability to learn spatial adpositions in a novel language?

description: elsarticle-num.bst
DOI: 10.25949/24190026
title: <i>Proposed Anti-LGBTQ+ US State Bills 2018-2025</i>.

description: This table lists proposed anti-LGBTQ+/anti-gender US state-level Bills submitted at House/Senate/Assembly levels from 2018 to 2025 including pre-filed for 2026. It lists the year across the horizontal axis of the table. Vertically it lists the form of bill according to Jones' analyses, it lists the states by abbreviations most commonly used in the US. It then lists the bill no. and uses HB or HF to indicate House Bills or Files, SB or SF to indicate Senate Bills or Files, AB or AF to indicate Assembly Bills or Files. It finally lists the status of the bill (e.g. passed, dead, referred to committee or similar as at 2025 or as pre-filed for 2026).
DOI: 10.25949/24190026.v3
title: <i>Proposed Anti-LGBTQ+ US State Bills 2018-2024</i>.

description: This table lists proposed anti-LGBTQ+ US state-level Bills submitted at House/Senate levels from 1.1.18 to 31.12.24 including pre-filed for 2025. It lists the year across the horizontal axis of the table. Vertically it lists the form of bill according to Jones' analyses, it list the states by abbreviations most commonly used in the US. It then lists the bill no. and uses HB or HF to indicate House Bills or Files, SB or SF to indicate Senate Bills or Files. It finally lists the status of the bill (e.g. passed, dead, referred to committee or similar as at 2024 or as pre-filed for 2025).
DOI: 10.25949/24190026.v4
title: <i>Proposed Anti-LGBTQ+ US State Bills 2018-2025</i>.

description: This table lists proposed anti-LGBTQ+/anti-gender US state-level Bills submitted at House/Senate/Assembly levels from 2018 to 2025 including pre-filed for 2026. It lists the year across the horizontal axis of the table. Vertically it lists the form of bill according to Jones' analyses, it lists the states by abbreviations most commonly used in the US. It then lists the bill no. and uses HB or HF to indicate House Bills or Files, SB or SF to indicate Senate Bills or Files, AB or AF to indicate Assembly Bills or Files. It finally lists the status of the bill (e.g. passed, dead, referred to committee or similar as at 2025 or as pre-filed for 2026).
DOI: 10.6084/m9.figshare.30400378
title: <b>Sediment deposition depth and texture controls soil microbial necromass carbon in check dams on the Loess Plateau, China</b> <b>[Dataset]</b>

description: This study investigated a representative check dam on the Loess Plateau to analyze the vertical distribution patterns of SOC physicochemical fractions and microbial necromass carbon (MNC), while evaluating texture and depth-dependent controls on microbial-derived carbon contributions.
DOI: 10.6084/m9.figshare.30400378.v3
title: <b>Sediment deposition depth and texture controls soil microbial necromass carbon in check dams on the Loess Plateau, China</b> <b>[Dataset]</b>

description: This study investigated a representative check dam on the Loess Plateau to analyze the vertical distribution patterns of SOC physicochemical fractions and microbial necromass carbon (MNC), while evaluating texture and depth-dependent controls on microbial-derived carbon contributions.
DOI: 10.6084/m9.figshare.30400378.v2
title: <b>Sediment deposition depth and texture controls soil microbial necromass carbon in check dams on the Loess Plateau, China</b> <b>[Dataset]</b>

description: This study investigated a representative check dam on the Loess Plateau to analyze the vertical distribution patterns of SOC physicochemical fractions and microbial necromass carbon (MNC), while evaluating texture and depth-dependent controls on microbial-derived carbon contributions.
DOI: 10.26180/30485546
title: PINGU Weights: CLBGMs removed

description: This version removes all dark protuderences between caudate and putamen, other than those much darker than the grey matter of the basal ganglia.This will remove all caudo-lenticular grey matter bridges, at the expense of missing some true perivascular spaces.
DOI: 10.26180/30485546.v1
title: PINGU Weights: CLBGMs removed

description: This version removes all dark protuderences between caudate and putamen, other than those much darker than the grey matter of the basal ganglia.This will remove all caudo-lenticular grey matter bridges, at the expense of missing some true perivascular spaces.