cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29041270
title: Acetaldehyde-driven mRNA methylation and expression changes in ethanol-metabolizing enzyme genes

description: This study examines how the alcohol metabolite acetaldehyde modulates mRNA methylation and expression of ethanol-metabolizing genes, uncovering its epigenetic role in ethanol metabolism. Using neuron-like (SH-SY5Y) and non-neuronal (SW620) cellular models, we examined the effects of chronic intermittent acetaldehyde (CIA) exposure and subsequent withdrawal (CIA+WD) on global RNA m6A modifications and the methylation and expression of three brain ethanol-metabolizing genes: <i>CAT</i> (catalase), <i>CYP2E1</i> (cytochrome P450 2E1), and <i>ALDH2</i> (aldehyde dehydrogenase 2). A 3-week CIA exposure, with or without 24-hour withdrawal, did not significantly alter global m6A methylation levels in either cell line. However, acetaldehyde exposure/withdrawal induced hypermethylation at the mRNA stop codon regions of <i>ALDH2</i> (CIA: <i>p</i> = 0.002; CIA+WD: <i>p</i> = 0.055) and <i>CAT</i> (CIA: <i>p</i> = 0.077; CIA+WD: <i>p</i> = 0.036) in SH-SY5Y cells, but not in SW620 cells. Furthermore, <i>ALDH2</i> mRNA expression was significantly upregulated in both cell types following exposure (SH-SY5Y: <i>p</i> = 0.073 [CIA] and 0.00002 [CIA+WD]; SW620: <i>p</i> = 0.0009 [CIA] and 0.00008 [CIA+WD]). In contrast, <i>CYP2E1</i> mRNA methylation and the expression of <i>CYP2E1</i> and <i>CAT</i> remained unchanged. These findings highlight the cell-specific epigenetic effects of acetaldehyde, particularly its role in modulating mRNA methylation and expression of <i>ALDH2</i>, a key enzyme in alcohol metabolism.
DOI: 10.6084/m9.figshare.29041270.v1
title: Acetaldehyde-driven mRNA methylation and expression changes in ethanol-metabolizing enzyme genes

description: This study examines how the alcohol metabolite acetaldehyde modulates mRNA methylation and expression of ethanol-metabolizing genes, uncovering its epigenetic role in ethanol metabolism. Using neuron-like (SH-SY5Y) and non-neuronal (SW620) cellular models, we examined the effects of chronic intermittent acetaldehyde (CIA) exposure and subsequent withdrawal (CIA+WD) on global RNA m6A modifications and the methylation and expression of three brain ethanol-metabolizing genes: <i>CAT</i> (catalase), <i>CYP2E1</i> (cytochrome P450 2E1), and <i>ALDH2</i> (aldehyde dehydrogenase 2). A 3-week CIA exposure, with or without 24-hour withdrawal, did not significantly alter global m6A methylation levels in either cell line. However, acetaldehyde exposure/withdrawal induced hypermethylation at the mRNA stop codon regions of <i>ALDH2</i> (CIA: <i>p</i> = 0.002; CIA+WD: <i>p</i> = 0.055) and <i>CAT</i> (CIA: <i>p</i> = 0.077; CIA+WD: <i>p</i> = 0.036) in SH-SY5Y cells, but not in SW620 cells. Furthermore, <i>ALDH2</i> mRNA expression was significantly upregulated in both cell types following exposure (SH-SY5Y: <i>p</i> = 0.073 [CIA] and 0.00002 [CIA+WD]; SW620: <i>p</i> = 0.0009 [CIA] and 0.00008 [CIA+WD]). In contrast, <i>CYP2E1</i> mRNA methylation and the expression of <i>CYP2E1</i> and <i>CAT</i> remained unchanged. These findings highlight the cell-specific epigenetic effects of acetaldehyde, particularly its role in modulating mRNA methylation and expression of <i>ALDH2</i>, a key enzyme in alcohol metabolism.
DOI: 10.5281/zenodo.17879997
title: TransInSAR_datasets

description: Data From "Exploring the deep learning interpretability in ground deformation monitoring with InSAR"
DOI: 10.5281/zenodo.17879996
title: TransInSAR_datasets

description: Data From "Exploring the deep learning interpretability in ground deformation monitoring with InSAR"
DOI: 10.15468/dl.zwy6jt
title: Occurrence Download

description: A dataset containing 6942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chelonoidis denticulatus, Podocnemis expansa)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6942 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045173-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqfneh
title: Occurrence Download

description: A dataset containing 1787 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (CAN.11.9_1, CAN.11.90_1, CAN.11.12_1, CAN.11.42_1, CAN.11.54_1, CAN.11.62_1, CAN.11.23_1, CAN.11.64_1)",
 "Geometry POLYGON((-71.35324 46.69892,-71.00307 45.85031,-71.01814 45.802,-71.08356 45.76344,-71.08366 45.34943,-70.94163 45.1757,-70.84536 45.21993,-70.66338 45.3314,-70.59386 45.36243,-70.15339 45.9264,-70.20766 46.06338,-70.26008 46.20856,-70.3336 46.27625,-71.12757 46.63936,-71.22829 46.74504,-71.27342 46.75204,-71.34174 46.72664,-71.35324 46.69892))",
 "HasCoordinate is true",
 "TaxonKey is Poales"
 ]
}

 The dataset includes 1787 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045176-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25740/vb900bf9392
title: Dataset for: Simulating The Urban Canopy's Impact on Wind-Driven Natural Ventilation

description: This dataset was created from coupled indoor-outdoor large eddy simulations (LES) of flow through an idealized urban canopy, as described in the paper "Simulating The Urban Canopy's Impact on Wind-Driven Natural Ventilation". The dataset includes two main files: flowStatsMI.csv provides per-window quantities including ventilation rates and scalar (temperature/tracer) fluxes; roomVentilationMI.csv provides per-room quantities including aggregated window statistics, volume-averaged quantities (e.g., temperature, tracer decay), and surface fluxes (e.g., temperature flux from the ceiling). Together, these datasets offer a detailed characterization of wind-driven natural ventilation across various parameterizations, varying wind conditions, canopy densities, and indoor-outdoor temperature differences. Across these wind and canopy parameterizations, we measure ventilation through single-sided, cross, corner, and dual-room ventilation scenarios. Additionally, all these ventilation conditions were run with and without skylights. The included README.md fully documents all quantities in the dataset.
DOI: 10.5281/zenodo.17866710
title: A 25-Year Daily Gap-Filled Global Ocean Colour Product for chlor‑a (2000–2007)

description: ⚠️ Please note that the dataset is still in the process of being uploaded. ⚠️ Due to Zenodo's file size limitations, the dataset is divided into three parts for upload : 2000-2007,2008-2015,2016-2024.

 





This dataset provides a global, daily, gap-filled ocean colour product for surface chlorophyll‑a (Chl‑a), covering the period 2000 to 2024 at a spatial resolution of 9 km.




The product was generated using a GPU-accelerated Discrete Cosine Transform and Penalized Least Squares (DCT–PLS) spatiotemporal reconstruction framework.




The input data are derived from the Ocean Colour Climate Change Initiative (OC-CCI) Version 6.0, a multi-sensor merged product developed by the European Space Agency.




Each NetCDF file contains daily reconstructed chlorophyll‑a fields for one calendar year.







Creator: Yuan Zhang

Email: zhangyuan_cumt@cumt.edu.cn

Institution: School of Resources and Geosciences, China University of Mining and Technology, Xuzhou, China

Orcid: https://orcid.org/0009-0006-0146-0385 

ResearchGate: https://www.researchgate.net/profile/Yuan-Zhang-249
DOI: 10.5281/zenodo.17866709
title: A 25-Year Daily Gap-Filled Global Ocean Colour Product for chlor‑a (2000–2007)

description: ⚠️ Please note that the dataset is still in the process of being uploaded. ⚠️ Due to Zenodo's file size limitations, the dataset is divided into three parts for upload : 2000-2007,2008-2015,2016-2024.

 





This dataset provides a global, daily, gap-filled ocean colour product for surface chlorophyll‑a (Chl‑a), covering the period 2000 to 2024 at a spatial resolution of 9 km.




The product was generated using a GPU-accelerated Discrete Cosine Transform and Penalized Least Squares (DCT–PLS) spatiotemporal reconstruction framework.




The input data are derived from the Ocean Colour Climate Change Initiative (OC-CCI) Version 6.0, a multi-sensor merged product developed by the European Space Agency.




Each NetCDF file contains daily reconstructed chlorophyll‑a fields for one calendar year.







Creator: Yuan Zhang

Email: zhangyuan_cumt@cumt.edu.cn

Institution: School of Resources and Geosciences, China University of Mining and Technology, Xuzhou, China

Orcid: https://orcid.org/0009-0006-0146-0385 

ResearchGate: https://www.researchgate.net/profile/Yuan-Zhang-249
DOI: 10.5281/zenodo.17832225
title: Supporting material for "Efficiency of RNAi based gene silencing in fungi - a review and meta-analysis"

description: Supplementary material for the publication "Efficiency of RNAi based gene silencing in fungi - a review and meta-analysis"



Barth et al-150725_supplements.docx - Contains Supplementary Figure S1 and Supplementary Methods S1-S4.


Supplementary Data



Data S1: Search_results_05082024.xlsx - Complete list of publications returned by the PubMed database query.

Data S2: paper_list.xlsx - Complete list of publications included in the meta-analysis.

Data S3: collected_figures_metaDigitize.zip - All figures used to extract resistance data when exact values were not directly available in the publications. Includes the script used for data extraction.

Data S4: data_current.csv - Raw experiment data extracted for the meta-analysis. 

Data S5: data_edited.csv & data_edited.RData - Edited experiment data: similar experiments were merged into representative entries and imputation was performed.


Supporting files



File S1: 01-data_editing.Rmd & 01-data_editing.html - Rscript containing all data editing steps, including experiment merging and data imputation.

File S2: 02-data_overview.Rmd & 02-data_overview.html - Rscript providing a brief overview of the data.

File S3: 03-generate_figures.Rmd & 03-generate_figure.html - Rscript performing the meta-regression and ploting data points.
DOI: 10.5281/zenodo.17832226
title: Supporting material for "Efficiency of RNAi based gene silencing in fungi - a review and meta-analysis"

description: Supplementary material for the publication "Efficiency of RNAi based gene silencing in fungi - a review and meta-analysis"



Barth et al-150725_supplements.docx - Contains Supplementary Figure S1 and Supplementary Methods S1-S4.


Supplementary Data



Data S1: Search_results_05082024.xlsx - Complete list of publications returned by the PubMed database query.

Data S2: paper_list.xlsx - Complete list of publications included in the meta-analysis.

Data S3: collected_figures_metaDigitize.zip - All figures used to extract resistance data when exact values were not directly available in the publications. Includes the script used for data extraction.

Data S4: data_current.csv - Raw experiment data extracted for the meta-analysis. 

Data S5: data_edited.csv & data_edited.RData - Edited experiment data: similar experiments were merged into representative entries and imputation was performed.


Supporting files



File S1: 01-data_editing.Rmd & 01-data_editing.html - Rscript containing all data editing steps, including experiment merging and data imputation.

File S2: 02-data_overview.Rmd & 02-data_overview.html - Rscript providing a brief overview of the data.

File S3: 03-generate_figures.Rmd & 03-generate_figure.html - Rscript performing the meta-regression and ploting data points.
DOI: 10.15468/dl.29bdrz
title: Occurrence Download

description: A dataset containing 6942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chelonoidis denticulatus, Podocnemis expansa)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6942 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045177-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2xg7jd
title: Occurrence Download

description: A dataset containing 18423 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Spain, Portugal)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chlidonias niger",
 "Year 2011-2025"
 ]
}

 The dataset includes 18423 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045175-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2275mj
title: Occurrence Download

description: A dataset containing 6942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chelonoidis denticulatus, Podocnemis expansa)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6942 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045178-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s94d34
title: Occurrence Download

description: A dataset containing 95534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphausiacea",
 "HasCoordinate is true",
 "Geometry POLYGON((-20.000000 -75.000000, 160.000000 -75.000000, 160.000000 -30.000000, -20.000000 -30.000000, -20.000000 -75.000000))"
 ]
}

 The dataset includes 95534 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045131-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6unpjw
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cirratulus africanus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 23 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045179-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17270259
title: a Multidialectal Parallel Arabic Corpus - LLM
DOI: 10.5281/zenodo.17776617
title: a Multidialectal Parallel Arabic Corpus - LLM
DOI: 10.15468/dl.cvkuc2
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Culicoides sonorensis",
 "Year 1950-2025"
 ]
}

 The dataset includes 71 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045180-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p19drmak
title: Landslide Susceptibility and Runout Results for Kosrae, Federated States of Micronesia

description: Landslide hazards pose a serious threat to people and infrastructure across the Federated States of Micronesia (FSM). To support hazard assessment and mitigation efforts, the USGS Landslide Disaster Assistance Team (LDAT) produced a landslide susceptibility and runout map for Kosrae State using a digital elevation model (DEM) and Grfin Tools modeling (Cronkite-Ratcliff and others, 2025; Reid and others, 2025a).
 
This dataset includes the input digital elevation model (Kosrae_DEM.tif) and Grfin Tools settings file (Kosrae_settings.yaml).  The DEM was created by merging, reprojecting, and clipping existing elevation data (U. S. Geological Survey, 2013a, 2013b) and the settings file provided input parameters for use with Grfin Tools. Parameter selection is described fully in Reid and others (2025b).
 
Primary outputs from Grfin Tools include:

landslide source zones (Kosrae_DEM_sourcearea.tif),
H/L reach angle (Kosrae_DEM_hlreachangle.tif),
debris-flow inundation extents (Kosrae_DEM_inundation.tif),
stream channels used for debris-flow routing (Kosrae_DEM_stream.shp)

 
Additional output files are produced by Grfin Tools and can be recreated with the provided DEM and settings files. This data release provides the three primary components of a landslide susceptibility map as raster files. The rasters are combined into a summary raster (Kosrae_susceptibility_map.tif) and a KMZ file (Kosrae_susceptibility_map.kmz).
 
The Grfin Tools results map areas susceptible to potential landslide or debris flow, not predictions of specific events. For the given parameters, results show maximum potential extents based on empirical models and should not be interpreted as forecasts or likelihoods without further analysis.
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
 
References:
 
Cronkite-Ratcliff, C., Reid, M.E., Brien, D.L., and Perkins, J.P., 2025, Grfin Tools - Software package and runtime documentation for users, version 1.0, U.S. Geological Survey Software Release, https://doi.org/10.5066/P9NVKFE2.
 
Reid, M.E., Brien. D.L., Cronkite-Ratcliff, C., and Perkins, J.P., 2025, Grfin Tools – User guide and methods for modeling landslide runout and debris-flow growth and inundation, U.S. Geological Survey Techniques and Methods, book 14, chap. A3, https://doi.org/10.3133/tm14A3.
 
Reid, M.E., Cerovski-Darriau, C., Brien, D.L., Leb, I.H., and Cyr, A.J., (in prep) From start to stop: Simple methods for mapping susceptibility to landslide runout and debris-flow inundation
 
U.S. Geological Survey, 2013, 3D Elevation Program 1/3-Arc-Second Digital Elevation Model: USGS 1/3 arc-second n06e162 1 x 1 degree DEM (published 2013), USGS 13 arc-second n06e162 1 x 1 degree - ScienceBase-Catalog
 
U.S. Geological Survey, 2013, 3D Elevation Program 1/3-Arc-Second Digital Elevation Model: USGS 1/3 arc-second n06e163 1 x 1 degree DEM (published 2013), USGS 13 arc-second n06e163 1 x 1 degree - ScienceBase-Catalog
DOI: 10.15468/dl.nfyh9p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((104.972 -3.386833, 104.901614 -3.392397, 104.83296 -3.408953, 104.767724 -3.436093, 104.707511 -3.47315, 104.653803 -3.519213, 104.607922 -3.573148, 104.570998 -3.633628, 104.54394 -3.699167, 104.527418 -3.768151, 104.521839 -3.838881, 104.527344 -3.909617, 104.543801 -3.978617, 104.570806 -4.044182, 104.607697 -4.104695, 104.653566 -4.158666, 104.707286 -4.204765, 104.767532 -4.241854, 104.83282 -4.26902, 104.901541 -4.285592, 104.972 -4.291162, 105.042459 -4.285592, 105.11118 -4.26902, 105.176468 -4.241854, 105.236714 -4.204765, 105.290434 -4.158666, 105.336303 -4.104695, 105.373194 -4.044182, 105.400199 -3.978617, 105.416656 -3.909617, 105.422161 -3.838881, 105.416582 -3.768151, 105.40006 -3.699167, 105.373002 -3.633628, 105.336078 -3.573148, 105.290197 -3.519213, 105.236489 -3.47315, 105.176276 -3.436093, 105.11104 -3.408953, 105.042386 -3.392397, 104.972 -3.386833))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045181-251120083545085/datasets/export for details.
DOI: 10.15468/dl.4hswyq
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cirriformia saxatilis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045186-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17882543
title: Community-Level Trust Threshold Validation (CLTTV) Replication Data

description: This replication package provides data and code for validating trust thresholds in community-level governance, specifically examining the hypothesis that cooperative organizations face critical transitions at trust levels around τ* ≈ 0.68.

The package includes:

1. CPR (Common Pool Resource) Database Analysis (Tables 2 & 3):   - Trust threshold validation using N=98 institutions   - Size distribution analysis using N=87 institutions   - Source: Ostrom's global CPR database (seslibrary.asu.edu/cpr)

2. World Cooperative Monitor (WCM) Size Distribution (Table 4):   - Cross-national cooperative size patterns across N=100 countries   - Modal concentration analysis showing 29% at 5-20K members   - Source: WCM Annual Reports 2012-2025 (monitor.coop)

3. Related Dataset - Nepal Microinsurance (Table 1):   - Published separately at: https://doi.org/10.5281/zenodo.17008749   - N=124 microinsurance schemes from Nepal   - This package is a supplement to the Nepal deposit

KEY FINDINGS:- 13.27% of CPR institutions exceed trust threshold (τ* ≈ 0.68)- 94.3% of CPR institutions have fewer than 500 members- 29% of countries show modal cooperative size at 5-20K members- Evidence supports Trinity Law framework for cooperative governance

The package includes raw data, processed datasets, output tables, complete data provenance documentation, and step-by-step replication guidelines.

All results can be independently verified using the included data and code. Processing time: approximately 5 minutes. System requirements: R version 4.0 or higher with tidyverse packages.

For questions about replication: daviddror@socialre.orgReplication guidelines included in package (00_DOCUMENTATION/)Complete validation report showing 100% match with manuscript results
DOI: 10.15468/dl.q86tp9
title: Occurrence Download

description: A dataset containing 1205626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to -35.914722",
 "DecimalLatitude is less than or equal to -30.914722",
 "DecimalLongitude is greater than or equal to 15.0",
 "DecimalLongitude is less than or equal to 20.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 1205626 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045147-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.