cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24523528.v2
title: Source Data 1. Cis methylation quantitative trait loci (mQTL) of smoking related CpG sites (GoDMC)

description: This dataset provides the cis-mQTLs for smoking-related CpG sites. It is one of the source data to perform the epigenetic mendelian randomization and colocalization analysis in this project.
DOI: 10.6084/m9.figshare.24524884
title: Sorce Data 4. MR results of smoking related DNA methylation with CD and UC risk.

description: This data displays the results of epegenetic Mendelian randomization analysis of smoking-related CpG sites with the risk of IBD, and it is the source data for Figure 2 and 3 in the manuscript.
DOI: 10.6084/m9.figshare.24524884.v2
title: Sorce Data 4. MR results of smoking related DNA methylation with CD and UC risk.

description: This data displays the results of epegenetic Mendelian randomization analysis of smoking-related CpG sites with the risk of IBD, and it is the source data for Figure 2 and 3 in the manuscript.
DOI: 10.6084/m9.figshare.24154980.v2
title: Source Data 2. The dataset derived from the UK Biobank for the cohort study.

description: This data is used to conduct cohort study to evaluate the association between smoking and the risk of inflammatory bowel disease.
DOI: 10.6084/m9.figshare.24154983.v2
title: Source Data 5. The dataset derived from the UK Biobank for the G-E interaction analysis.

description: This data contains of the information on the mqtls of smoking-related methylation and is used to perform the G-E interaction analysis (for CD).
DOI: 10.6084/m9.figshare.24154986
title: Source Data 3. The dataset derived from the UK Biobank for the cohort study.

description: This data is used to conduct cohort study to evaluate the association between smoking and the risk of inflammatory bowel disease.
DOI: 10.6084/m9.figshare.24154989
title: Source Data 6. The dataset derived from the UK Biobank for the G-E interaction analysis.

description: This data contains of the information on the mqtls of smoking-related methylation and is used to perform the G-E interaction analysis (for UC).
DOI: 10.6084/m9.figshare.24523528.v1
title: Sorce Data 2. Cis methylation quantitative trait loci (mQTL) of smoking related CpG sites (GoDMC)

description: This dataset provides the cis-mQTLs for smoking-related CpG sites. It is one of the source data to perform the epigenetic mendelian randomization and colocalization analysis in this project.
DOI: 10.6084/m9.figshare.24524884.v1
title: Sorce Data 1. MR results of smoking related DNA methylation with CD and UC risk.

description: This data displays the results of epegenetic Mendelian randomization analysis of smoking-related CpG sites with the risk of IBD, and it is the source data for Figure 2 and 3 in the manuscript.
DOI: 10.6084/m9.figshare.24154980.v1
title: UKB_CD_incident_time.Rdata

description: This data is used to conduct cohort study to evaluate the association between smoking and the risk of inflammatory bowel disease.
DOI: 10.6084/m9.figshare.24154983.v1
title: ukb66354.CD.mqtl.snps.wGRS.487409.dosage.Rdata

description: This data contains of the information on the mqtls of smoking-related methylation and is used to perform the G-E interaction analysis.
DOI: 10.6084/m9.figshare.24154986.v2
title: Source Data 3. The dataset derived from the UK Biobank for the cohort study.

description: This data is used to conduct cohort study to evaluate the association between smoking and the risk of inflammatory bowel disease.
DOI: 10.6084/m9.figshare.24154989.v2
title: Source Data 6. The dataset derived from the UK Biobank for the G-E interaction analysis.

description: This data contains of the information on the mqtls of smoking-related methylation and is used to perform the G-E interaction analysis (for UC).
DOI: 10.6084/m9.figshare.24154986.v1
title: UKB_UC_incident_time.Rdata

description: This data is used to conduct cohort study to evaluate the association between smoking and the risk of inflammatory bowel disease.
DOI: 10.6084/m9.figshare.24154989.v1
title: ukb66354.UC.mqtl.snps.wGRS.487409.dosage.Rdata

description: This data contains of the information on the mqtls of smoking-related methylation and is used to perform the G-E interaction analysis.
DOI: 10.6084/m9.figshare.24525901
title: Data used for the statistical figures: Figure 2, Figure 3 and Figure 4.

description: The is the data used for the statistical figures: Figure 2, Figure 3 and Figure 4 in bin form. Simply call "restore" function in IDL to load those data. Parameters are described below t0: time stamp l0: L-shell m0: MLT ae0: AE index dperp0: trapped energy flux at 16 energy channels dlc0: precipitating energy flux at 16 energy channels dantilc0: backscattered energy flux at 16 energy channels dantilcratio0: precipitation ratio for 16 energy channels dlcratio0: backscattered ratio for 16 energy channels<br><br>
DOI: 10.7298/aq1k-vf97
title: Supplemental Data from: Clinically relevant antibiotic resistance genes are linked to a limited set of taxa within gut microbiome worldwide
DOI: 10.57967/hf/1333
title: ViQP
DOI: 10.57967/hf/1073
title: ViQP
DOI: 10.6084/m9.figshare.21295593
title: Data and code for 'Differential patterns of taxonomic and functional diversity for two groups of canopy arthropods across spatial scales'.

description: Data and code for <b>Differential patterns of taxonomic and functional diversity for two groups of canopy arthropods across spatial scales</b>. Data are community (site x species and site x functional group) matrices for hierarchically nested design: individual trees within stands within sites within ecoregions. Arthropods were sampled by canopy fogging.
DOI: 10.6084/m9.figshare.21295593.v2
title: Data and code for 'Differential patterns of taxonomic and functional diversity for two groups of canopy arthropods across spatial scales'.

description: Data and code for <b>Differential patterns of taxonomic and functional diversity for two groups of canopy arthropods across spatial scales</b>. Data are community (site x species and site x functional group) matrices for hierarchically nested design: individual trees within stands within sites within ecoregions. Arthropods were sampled by canopy fogging.
DOI: 10.5281/zenodo.10081864
title: Dataset for EBAII practical session (ChIP-seq workflow)

description: Dataset for EBAII practical session (ChIP-seq workflow)
DOI: 10.5281/zenodo.10081865
title: Dataset for EBAII practical session (ChIP-seq workflow)

description: Dataset for EBAII practical session (ChIP-seq workflow)
DOI: 10.5281/zenodo.10083927
title: Dataset for EBAII practical session (ChIP-seq workflow)

description: Dataset for EBAII practical session (ChIP-seq workflow)
DOI: 10.5281/zenodo.10084017
title: Dataset for EBAII practical session (ChIP-seq workflow)

description: Dataset for EBAII practical session (ChIP-seq workflow)
DOI: 10.5281/zenodo.10082289
title: Refined Bathymetric Prediction based on Feature Extraction of Gravity Field Signals: BATHY-FE

description: BATHY-FE is a refined global seafloor model derived from extraction of learnt bathymetric signatures inherent in gravity field signals. It spans longitudes -180 ~ 180, and latitudes -80 ~ 80. It contains more short-wavelength seafloor features, and is superior to existing bathymetric models in almost all marine regions, especially at regions close to the poles. It is a GMT readable grid file (i.e., a matrix of seafloor model, and vectors of longitudes and latitudes) with a spatial resolution of 15 arc-seconds.
Included in this repository are a MATLAB livescript and sample data in which a demonstration of the algorithm over a region north of Alaska and Canada is presented.
DOI: 10.6084/m9.figshare.24525982
title: <b>Cytoplasmic TDP-43 in the </b><b>monkey brain </b><b>induces </b><b>neurotoxicity </b><b>by binding to ribosomes and altering mRNA expression</b>

description: The key data supporting the findings of this study of the mass spect and riboseq RNA sequencing.
DOI: 10.6084/m9.figshare.24525982.v1
title: <b>Cytoplasmic TDP-43 in the </b><b>monkey brain </b><b>induces </b><b>neurotoxicity </b><b>by binding to ribosomes and altering mRNA expression</b>

description: The key data supporting the findings of this study of the mass spect and riboseq RNA sequencing.
DOI: 10.6084/m9.figshare.24145120
title: Landscape agroecology: woody vegetation heterogeneity and its association with natural and human factors at a multifunctional peasant socio-ecosystem from a semi-arid mountain range area (Dry Chaco, Argentina)

description: In this study we investigate the landscape of a multifunctional peasant socio-ecosystem using a dialectic and complex theoretical-methodological framework rooted in agroecology. We describe vegetation floristics and structure, as well as biophysical and anthropic variables. We use maps, multivariate analysis and validation workshops to integrate and analyze information. The vegetation showcases distinct typologies, marked by gradual, non-linear variations, without precise boundaries tied to biophysical and anthropic drivers. Furthermore, based on vegetation structure and floristic heterogeneity, this agroecosystem constitutes a well-managed multifunctional native forest landscape, exemplifying a case of biocultural conservation.
DOI: 10.6084/m9.figshare.24145120.v1
title: Landscape agroecology: woody vegetation heterogeneity and its association with natural and human factors at a multifunctional peasant socio-ecosystem from a semi-arid mountain range area (Dry Chaco, Argentina)

description: In this study we investigate the landscape of a multifunctional peasant socio-ecosystem using a dialectic and complex theoretical-methodological framework rooted in agroecology. We describe vegetation floristics and structure, as well as biophysical and anthropic variables. We use maps, multivariate analysis and validation workshops to integrate and analyze information. The vegetation showcases distinct typologies, marked by gradual, non-linear variations, without precise boundaries tied to biophysical and anthropic drivers. Furthermore, based on vegetation structure and floristic heterogeneity, this agroecosystem constitutes a well-managed multifunctional native forest landscape, exemplifying a case of biocultural conservation.
DOI: 10.5519/qd.kgyji89b
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (11 records)
DOI: 10.6084/m9.figshare.24526015
title: tcellmatch_trainedModels

description: This file contains the trained models for the paper of Fischer et al. "Predicting antigen specificity of single T cells based on TCR CDR3 regions"<br>
DOI: 10.6084/m9.figshare.24526015.v1
title: tcellmatch_trainedModels

description: This file contains the trained models for the paper of Fischer et al. "Predicting antigen specificity of single T cells based on TCR CDR3 regions"<br>
DOI: 10.6084/m9.figshare.24526123
title: Dataset_global survey of energetic electron precipitation observed by ELFIN at LEO

description: The is the data used for the statistical figures: Figure 2, Figure 3 and Figure 4 in bin form. Simply call "restore" function in IDL to load those data.Parameters are described belowt0: time stampl0: L-shellm0: MLTae0: AE indexdperp0: trapped energy flux at 16 energy channelsdlc0: precipitating energy flux at 16 energy channelsdantilc0: backscattered energy flux at 16 energy channelsdantilcratio0: precipitation ratio for 16 energy channelsdlcratio0: backscattered ratio for 16 energy channels<br>
DOI: 10.5066/p942amet
title: Qualitative surveys of mussel communities at sites in the Tri-State Mining District, 2016 - 2018

description: The Tri-State Mining District (TSMD) is an area encompassing portions of Kansas, Missouri, and Oklahoma in which lead and zinc mining historically occurred. To further investigate the relationship between metal contamination and unionid communities, goals of this study were as follows; 1) Conduct a reconnaissance survey of the North Fork Spring River, Spring River, Center Creek, Shoal Creek, Tar Creek, Lost Creek, and Neosho River for areas containing live unionids and/or suitable unionid habitat with the goal of identifying approximately 25 sites that warrant further quantitative assessment, 2) Conduct quantitative unionid and habitat surveys at selected sites, and 3) Compare quantitative mussel data and preliminary sediment metal concentrations among sites. This data set is comprised of the results of qualitative and quantitative sampling of freshwater mussel communities in the TMSD including sampling locations, count of each species during surveys, and associated size, age, and life stage data.
DOI: 10.5281/zenodo.10084005
title: Dataset_of_GeMo

description: This is the dataset used in the paper "Efficient Computation of General Modules for ALC Ontologies" for testing the performance of the algorithm GeMo.
DOI: 10.5281/zenodo.10082436
title: Automated analysis of HPLC chromatograms obtained during the dehydration of N-Acetylglucosamine into 3-Acetamido-5-acetylfurane using Python

description: Content: This dataset contains High Performance Liquid Chromatography (HPLC) chromatograms, obtained while studying the dehydration of N-Acetylglucosamine into 3-Acetamido-5-acetylfurane in DMAc, DMF and NMP employing various catalysts and screening different reaction conditions. Reaction conditions can be retrieved from the metadata attached. Importantly, a python script to automatically extract, plot and analyze the HPLC-data obtained is provided.
Acknowledgements: The authors acknowledge support by the German Research Foundation (DFG) within NFDI4Cat (ID 441926934). Parts of this work were funded by the Cluster of Excellence Fuel Science Center (EXC 2186, ID: 390919832) funded by the Excellence Initiative by the German federal and state governments. Furthermore, the authors thank Jens Heller and Frederic Thilmany for performing the HPLC measurements.
DOI: 10.5281/zenodo.10082435
title: Automated analysis of HPLC chromatograms obtained during the dehydration of N-Acetylglucosamine into 3-Acetamido-5-acetylfurane using Python

description: Content: This dataset contains High Performance Liquid Chromatography (HPLC) chromatograms, obtained while studying the dehydration of N-Acetylglucosamine into 3-Acetamido-5-acetylfurane in DMAc, DMF and NMP employing various catalysts and screening different reaction conditions. Reaction conditions can be retrieved from the metadata attached. Importantly, a python script to automatically extract, plot and analyze the HPLC-data obtained is provided.
Acknowledgements: The authors acknowledge support by the German Research Foundation (DFG) within NFDI4Cat (ID 441926934). Parts of this work were funded by the Cluster of Excellence Fuel Science Center (EXC 2186, ID: 390919832) funded by the Excellence Initiative by the German federal and state governments. Furthermore, the authors thank Jens Heller and Frederic Thilmany for performing the HPLC measurements.
DOI: 10.5281/zenodo.10084065
title: Dataset_of_GeMo

description: This is the dataset used in the paper "Efficient Computation of General Modules for ALC Ontologies" for testing the performance of the algorithm GeMo.
DOI: 10.5281/zenodo.10084004
title: Dataset_of_GeMo

description: This is the dataset used in the paper "Efficient Computation of General Modules for ALC Ontologies" for testing the performance of the algorithm GeMo.
DOI: 10.5281/zenodo.8296972
title: S Table 1. Characteristics of all sorghum cultivars assessed for drought and salinity.

description: The data is presented in a table (S Table 1. Characteristics of all sorghum cultivars assessed for drought and salinity) as a supplement of a manuscript in MDPI Agronomy | Special Issue "Novel Insights into Abiotic Stress Tolerance of Crops" journal.
DOI: 10.5281/zenodo.8296971
title: S Table 1. Characteristics of all sorghum cultivars assessed for drought and salinity.

description: The data is presented in a table (S Table 1. Characteristics of all sorghum cultivars assessed for drought and salinity) as a supplement of a manuscript in MDPI Agronomy | Special Issue "Novel Insights into Abiotic Stress Tolerance of Crops" journal.
DOI: 10.5281/zenodo.8274542
title: Shapefiles for Spherical-harmonic distribution of coronae in relation to volcanic features on Venus

description: GIS shapefiles of mapped lava flows with calculations on flow divergence from downhill direction.
DOI: 10.5281/zenodo.8274543
title: Shapefiles for Spherical-harmonic distribution of coronae in relation to volcanic features on Venus

description: GIS shapefiles of mapped lava flows with calculations on flow divergence from downhill direction.
DOI: 10.25573/serc.24526066
title: Dataset: Relative sea-level change and driving processes during the past ~4000 years in the Chesapeake Bay, U.S. Atlantic Coast

description: Late Holocene relative sea-level (RSL) histories from the mid-Atlantic coast of the US are largely driven by glacial isostatic adjustment, which are then superimposed by climatic driven alterations and local processes (e.g. sediment compaction). An understanding of past RSL changes and constraining future projections, is important to understand the vulnerability of low-lying regions. Here, we reconstruct RSL using proxy (foraminifera) and instrumental (tide gauge) records to understand how RSL has evolved, and the mechanisms driving RSL changes during the late Holocene in the Chesapeake Bay. Our proxy record utilizes a continuous sequence of salt-marsh peat that estimates the position of past RSL using a new modern foraminiferal training set comprising &gt;130 samples from sites across the Chesapeake Bay. The training sets reveal the vertical zonation of foraminiferal assemblages and we use these to explore forcing mechanisms driving RSL changes derived from periodic changes in the biostratigraphy every ~1500 years. We constrained sedimentation rates using a Bayesian age model (Bchron) that incorporated 35 radiocarbon ages with event-based chronohorizons (e.g., pollen records of land clearance and pollution markers) and corrected sample elevations for sediment compaction using a geotechnical model calibrated by local sediment cores. We assessed changes in RSL using an Errors-In-Variables Integrated Gaussian Process model that integrates both proxy and instrumental records with full consideration of their uncertainties. We show a magnitude ~6 m RSL rise since ~2000 BCE is characterized by changes in RSL rate concurrent with climate alterations. Minimum RSL rates of 0.8 and 1.3 mm/yr are recorded at 700 BCE and 1450 CE, respectively, and coincide with widespread cooling phases of the late Holocene. Furthermore, we show the modern rate of RSL (rising at 3.6 mm/yr) is unprecedented in the last 4000 years, supporting other regional and global reconstructions that identify an anthropogenic influence on sea levels since the mid-19th century.
DOI: 10.25573/serc.24526066.v1
title: Dataset: Relative sea-level change and driving processes during the past ~4000 years in the Chesapeake Bay, U.S. Atlantic Coast

description: Late Holocene relative sea-level (RSL) histories from the mid-Atlantic coast of the US are largely driven by glacial isostatic adjustment, which are then superimposed by climatic driven alterations and local processes (e.g. sediment compaction). An understanding of past RSL changes and constraining future projections, is important to understand the vulnerability of low-lying regions. Here, we reconstruct RSL using proxy (foraminifera) and instrumental (tide gauge) records to understand how RSL has evolved, and the mechanisms driving RSL changes during the late Holocene in the Chesapeake Bay. Our proxy record utilizes a continuous sequence of salt-marsh peat that estimates the position of past RSL using a new modern foraminiferal training set comprising &gt;130 samples from sites across the Chesapeake Bay. The training sets reveal the vertical zonation of foraminiferal assemblages and we use these to explore forcing mechanisms driving RSL changes derived from periodic changes in the biostratigraphy every ~1500 years. We constrained sedimentation rates using a Bayesian age model (Bchron) that incorporated 35 radiocarbon ages with event-based chronohorizons (e.g., pollen records of land clearance and pollution markers) and corrected sample elevations for sediment compaction using a geotechnical model calibrated by local sediment cores. We assessed changes in RSL using an Errors-In-Variables Integrated Gaussian Process model that integrates both proxy and instrumental records with full consideration of their uncertainties. We show a magnitude ~6 m RSL rise since ~2000 BCE is characterized by changes in RSL rate concurrent with climate alterations. Minimum RSL rates of 0.8 and 1.3 mm/yr are recorded at 700 BCE and 1450 CE, respectively, and coincide with widespread cooling phases of the late Holocene. Furthermore, we show the modern rate of RSL (rising at 3.6 mm/yr) is unprecedented in the last 4000 years, supporting other regional and global reconstructions that identify an anthropogenic influence on sea levels since the mid-19th century.
DOI: 10.6084/m9.figshare.24520546
title: Another Arabic Voice Command Dataset for Multiple Speech Processing Tasks

description: The expansion of Internet connectivity has revolutionized our daily lives, with people increasingly relying on smartphones and laptops for various tasks. This technological evolution has prompted the development of innovative solutions to enhance the quality of life for diverse populations, including the elderly and individuals with disabilities. Among the most impactful advancements are voice-command-enabled technologies such as SIRI and Google voice commands, which are built upon the foundation of Speech Recognition modules, a critical component in facilitating human-machine communication.Automatic Speech Recognition (ASR) has witnessed significant progress in achieving human-like performance through data-driven methods. In the context of our research, we have meticulously crafted an Arabic voice command dataset to facilitate advancements in ASR and other speech processing tasks. This dataset comprises 10 distinct commands spoken by 10 unique speakers, each repeated 10 times. Despite its modest size, the dataset has demonstrated remarkable performance across a range of speech processing tasks.The dataset was rigorously evaluated, yielding exceptional results. In ASR, it achieved an accuracy of 95.9%, showcasing its potential for effectively transcribing spoken Arabic commands. Furthermore, the dataset excelled in speaker identification, gender recognition, accent recognition, and spoken language understanding, with macro F1 scores of 99.67%, 100%, 100%, and 97.98%, respectively.This Arabic Voice Command Dataset represents a valuable resource for researchers and developers in the field of speech processing and human-machine interaction. Its quality and diversity make it a robust foundation for developing and testing ASR and other related systems, ultimately contributing to the advancement of voice-command technologies and their widespread accessibility.