cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e193226
title: Code for: Why Do Retired Households Draw Down Their Wealth So Slowly?

description: Retired households, especially those with high lifetime income, decumulate their wealth very slowly, and many die leaving large estates. The three leading explanations for the ‘retirement savings puzzle” are the desire to insure against uncertain lifespans and medical expenses, the desire to leave bequests to one’s heirs, and the desire to remain in one’s own home. We discuss the empirical strategies used to differentiate these motivations, most of which go beyond wealth to exploit additional features of the data. The literature suggests that all the motivations are present but has yet to reach a consensus about their relative importance.
DOI: 10.3886/e193226v1
title: Code for: Why Do Retired Households Draw Down Their Wealth So Slowly?

description: Retired households, especially those with high lifetime income, decumulate their wealth very slowly, and many die leaving large estates. The three leading explanations for the ‘retirement savings puzzle” are the desire to insure against uncertain lifespans and medical expenses, the desire to leave bequests to one’s heirs, and the desire to remain in one’s own home. We discuss the empirical strategies used to differentiate these motivations, most of which go beyond wealth to exploit additional features of the data. The literature suggests that all the motivations are present but has yet to reach a consensus about their relative importance.
DOI: 10.34740/kaggle/dsv/6874152
title: 📒 Meta Kaggle ported to MS SQL SERVER 2022 DB
DOI: 10.15129/bfce60be-baf6-40ad-a2a9-4e6e93344281
title: Data for "Polarization-Consistent Force Field for Ketones"

description: This dataset contains all the necessary input files to run the Molecular Dynamics simulations presented in the article. It includes Gromacs input files as well as scripts to automate the generation of an optimisation grid and validation simulations (for both bulk properties and solvation free energies).
DOI: 10.5281/zenodo.10069528
title: SingleCellExperiment Object for Kang et al., 2018  PBMCs data

description: Kang et al., 2018 lupus PBMC data  as SingleCellExperiment; also available under https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE96583. Converted from an AnnData object from https://github.com/theislab/pertpy
DOI: 10.5281/zenodo.10069527
title: SingleCellExperiment Object for Kang et al., 2018  PBMCs data

description: Kang et al., 2018 lupus PBMC data  as SingleCellExperiment; also available under https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE96583. Converted from an AnnData object from https://github.com/theislab/pertpy
DOI: 10.5281/zenodo.10069517
title: Pattern of Using Semaglutide Injection among the Population in Saudi Arabia

description: Semaglutide injection with lifestyle intervention has been shown to be more effective than lifestyle modification alone. However, pharmacological intervention shows fewer side effects than bariatric surgery. This cross-sectional study was conducted among the general population in Saudi Arabia. A self-administered questionnaire was sent among the targeted population using an online survey. The questionnaire includes socio-demographic data (e.g., age, gender, marital status, etc.), general awareness about Semaglutide injection, and a 4-item questionnaire to measure the knowledge about Semaglutide. Of the 382 participants, 52.4% were males, and 44.8% were aged between 18 to 30  years old. The level of knowledge about Semaglutide injection was poor among 69.4%, while the rest had good knowledge (30.6%). The overall mean knowledge score was 1.62 (SD 1.26) out of 4 points. Younger participants, gender female, unmarried, unemployed, normal or underweight, aware of Semaglutide injection, previous usage of Semaglutide, satisfaction with Semaglutide, and knowledge about combined benefits (diabetes control and weight loss) of Semaglutide injections were the factors associated with increased knowledge score. The knowledge of the general population regarding Semaglutide injection was lacking. Younger female participants with normal body weight who were satisfied with Semaglutide were identified as the most significant users of Semaglutide injections. Further investigations are needed to extract more data about the general population's knowledge of Semaglutide injections.
DOI: 10.5281/zenodo.10069516
title: Pattern of Using Semaglutide Injection among the Population in Saudi Arabia

description: Semaglutide injection with lifestyle intervention has been shown to be more effective than lifestyle modification alone. However, pharmacological intervention shows fewer side effects than bariatric surgery. This cross-sectional study was conducted among the general population in Saudi Arabia. A self-administered questionnaire was sent among the targeted population using an online survey. The questionnaire includes socio-demographic data (e.g., age, gender, marital status, etc.), general awareness about Semaglutide injection, and a 4-item questionnaire to measure the knowledge about Semaglutide. Of the 382 participants, 52.4% were males, and 44.8% were aged between 18 to 30  years old. The level of knowledge about Semaglutide injection was poor among 69.4%, while the rest had good knowledge (30.6%). The overall mean knowledge score was 1.62 (SD 1.26) out of 4 points. Younger participants, gender female, unmarried, unemployed, normal or underweight, aware of Semaglutide injection, previous usage of Semaglutide, satisfaction with Semaglutide, and knowledge about combined benefits (diabetes control and weight loss) of Semaglutide injections were the factors associated with increased knowledge score. The knowledge of the general population regarding Semaglutide injection was lacking. Younger female participants with normal body weight who were satisfied with Semaglutide were identified as the most significant users of Semaglutide injections. Further investigations are needed to extract more data about the general population's knowledge of Semaglutide injections.
DOI: 10.5281/zenodo.7696950
title: Land cover map of the Greater Paramaribo region 2019

description: This map shows the land cover of the Greater Paramaribo region for 2019 based on Sentinel 2 images. See details in the metadata document. 
The map was made by Razi Taus for the Tropenbos Suriname and the University of Twente-Faculty Geo-information Science and Earth Observation (ITC) project "Naar een groen en leefbaarder Paramaribo" and must be accredited as follows.
Razia Taus, Lisa Best, Rudi van Kanten, Nina Schwarz, Louise Willemen, 2020, Land cover map of the Greater Paramaribo Region 2019, product of 'Naar een groen en leefbaarder Paramaribo' by Tropenbos Suriname and University of Twente-ITC. DOI: 10.5281/zenodo.7696951
DOI: 10.15129/a1d816a0-1849-4116-b510-da765fbffbdf
title: Synthetic data in journal paper Multichannel Coherency Migration grid search (MCMgs) in locating microseismic events by a surface array

description: Synthetic data generated and used for the analysis and results presented in paper Multichannel Coherency Migration grid search (MCMgs) in locating microseismic events by a surface array by Parastatidis et al, Geophysical Journal International
DOI: 10.13012/b2idb-8170405_v1
title: RAD-seq genotypes for a Miscanthus sacchariflorus diversity panel

description: Restriction site-associated DNA sequencing (RAD-seq) data from 643 Miscanthus accessions from a diversity panel, including 613 Miscanthus sacchariflorus, three M. sinensis, and 27 M. xgiganteus. DNA was digested with PstI and MspI, and single-end Illumina sequencing was performed adjacent to the PstI site. Variant and genotype calling was performed with TASSEL-GBSv2, using the Miscanthus sinensis v7.1 reference genome from Phytozome 12 (https://phytozome.jgi.doe.gov). Additional ploidy-aware genotype calling was performed by polyRAD v1.1.
DOI: 10.13012/b2idb-0170190_v3
title: Population genetic structure of Miscanthus sacchariflorus

description: This repository contains datasets and R scripts that were used in a study of the population structure of Miscanthus sacchariflorus in its native range across East Asia.  Notably, genotypes of 764 individuals at 34,605 SNPs, called from reduced-representation DNA sequencing using a non-reference bioinformatics pipeline, are provided.  Two similar SNP datasets, used for identifying clonal duplicates and for determining the ancestry of ornamental and hybrid Miscanthus plants identified in previous studies respectively, are also provided.  There is also a spreadsheet listing the provenance and ploidy of all individuals along with their plastid (chloroplast) haplotypes.  Software output for Structure, Treemix, and DIYABC is also included.  See README.txt for more information about individual files.  Results of this study are described in a manuscript in revision in Annals of Botany by the same authors, "Population structure of Miscanthus sacchariflorus reveals two major polyploidization events, tetraploid-mediated unidirectional introgression from diploid Miscanthus sinensis, and diversity centered around the Yellow Sea."
DOI: 10.13012/b2idb-4829913_v2
title: Impact of genotype-calling methodologies on genome-wide association and genomic prediction in polyploids

description: This dataset contains all data used in the paper "Impact of genotype-calling methodologies on genome-wide association and genomic prediction in polyploids". The dataset includes genotypes and phenotypic data from two autotetraploid species Miscanthus sacchariflorus and Vaccinium corymbosum that was used used for genome wide association studies and genomic prediction and the scripts used in the analysis. In this V2, 2 files have the raw data are added: "Miscanthus_sacchariflorus_RADSeq.vcf" is the VCF file with the raw SNP calls of the Miscanthus sacchariflorus data used for genotype calling using the 6 genotype calling methods. "Blueberry_data_read_depths.RData" is the a RData file with the read depth data that was used for genotype calling in the Blueberry dataset.
DOI: 10.5281/zenodo.8339804
title: FAIR assessment practices: Experiences from KonsortSWD and BERD@NFDI [Dataset 1 BERD@NFDI]

description: This dataset evidences the BERD@NFDI results of a poster, which is documented as a related work. The poster presents FAIR assessment experiences in the context of the two NFDI consortia KonsortSWD and BERD@NFDI, employing the established Research Data Alliance's FAIR Data Maturity Model (RDA-FDMM) and the F-UJI Tool, an automated solution. RDA-FDMM, a manual technique, is more comprehensive, while the automated F-UJI tool effectively detects areas of improvement in metadata presentation that automated means can address. Our experiences highlight the need to examine both machine-readable as well as non-machine-readable elements and acknowledge automated tools' limitations, while valuing their insights. As the research ecosystem advances, metadata representation should be made increasingly machine-readable. We recommend a "FAIR by design" approach from the beginning to ensure alignment with FAIR principles in project outcomes. Continuous assessments during a project's lifetime promote ongoing research data infrastructure improvements within the NFDI consortia context, contributing to NFDI infrastructure innovation and optimization.
description: BERD@NFDI is funded by the German Research Foundation (DFG) within the framework of the NFDI – project number: 460037581.
DOI: 10.5281/zenodo.8339805
title: FAIR assessment practices: Experiences from KonsortSWD and BERD@NFDI [Dataset 1 BERD@NFDI]

description: This dataset evidences the BERD@NFDI results of a poster, which is documented as a related work. The poster presents FAIR assessment experiences in the context of the two NFDI consortia KonsortSWD and BERD@NFDI, employing the established Research Data Alliance's FAIR Data Maturity Model (RDA-FDMM) and the F-UJI Tool, an automated solution. RDA-FDMM, a manual technique, is more comprehensive, while the automated F-UJI tool effectively detects areas of improvement in metadata presentation that automated means can address. Our experiences highlight the need to examine both machine-readable as well as non-machine-readable elements and acknowledge automated tools' limitations, while valuing their insights. As the research ecosystem advances, metadata representation should be made increasingly machine-readable. We recommend a "FAIR by design" approach from the beginning to ensure alignment with FAIR principles in project outcomes. Continuous assessments during a project's lifetime promote ongoing research data infrastructure improvements within the NFDI consortia context, contributing to NFDI infrastructure innovation and optimization.
description: BERD@NFDI is funded by the German Research Foundation (DFG) within the framework of the NFDI – project number: 460037581.
DOI: 10.6084/m9.figshare.24496216
title: Association analysis of indel variants and gene expression identifies MDM4 as a novel locus for skeletal muscle hypertrophy and power athlete status

description: Insertions and deletions (indels) are the second most common type of variation in the human genome, with limited data on their associations with exercise-related phenotypes. The aim of the study was to examine the association between 18,370 indel variants and athletic performance, followed by functional and bioinformatic studies in 356,006 individuals. In a case-control study (<i>n</i>=80), the D allele of the functional (eQTL) rs35493922 I/D polymorphism of the <i>MDM4</i> gene was over-represented in power athletes (77.4%) compared to controls (32.5%; OR=7.1, <i>p</i>=9.8×10<sup>-6</sup>) and endurance athletes (48.3%; OR=3.7, <i>p</i>=0.0013). Furthermore, the D allele was positively associated (<i>p</i>=0.0013) with greater whole-body fat-free mass in the UK Biobank cohort (<i>n</i>=354,808). <i>MDM4</i> encodes a nuclear protein which inhibits the activity of the p53 tumor suppressor protein (induces skeletal muscle fibre atrophy). Accordingly, in a muscle biopsy study of athletes (n=22), we found that <i>MDM4</i> expression was significantly (<i>p</i>=0.0009) higher in the m. vastus lateralis of power compared to endurance athletes and was positively correlated with the percentage of fast-twitch muscle fibres (<i>r</i>=0.56, <i>p</i>=0.0062) and relative area occupied by fast-twitch muscle fibres (<i>r</i>=0.55, <i>p</i>=0.0086). The association between the <i>MDM4</i> gene expression and increased proportion of fast-twitch muscle fibres has been confirmed in two additional cohorts (m. vastus lateralis: <i>n</i>=291, <i>p</i>=0.001; m. gastrocnemius: <i>n</i>=791, <i>p</i>=0.003). Furthermore, it was shown that the expression of <i>MDM4</i> significantly increased (<i>n</i>=14, <i>p</i>=0.0009) in response to strength training (compared to endurance training). In conclusion, <i>MDM4</i> is suggested as a potential regulator of muscle fibre specification and size, with its indel variant associated with power athlete status.
DOI: 10.6084/m9.figshare.24496213
title: Data_jokiniemi et al.xlsx

description: Original data of the publication Jokiniemi et al.
DOI: 10.6084/m9.figshare.24496213.v1
title: Data_jokiniemi et al.xlsx

description: Original data of the publication Jokiniemi et al.
DOI: 10.6084/m9.figshare.24496228.v1
title: Datasets for ''Corner-bridge flow as pore-scale mechanism controlling capillary pressure curve at low saturations''

description: This is the datasets for the manuscript "Corner-bridge flow as pore-scale mechanism controlling capillary pressure curve at low saturations", including raw images and simulation results shown in the main text.
DOI: 10.11583/dtu.17263532.v1
title: Data for paper "Metal-Doped PdH(111) Catalysts for CO2 Reduction"

description: This dataset supplements the publication "Metal-doped PdH(111) Catalysts for CO2 Reduction" by Changzhi Ai, Tejs Vegge and Heine Anton Hansen.The dataset consists of an ASE database of doped PdH(111) surface.
DOI: 10.11583/dtu.17263532
title: Data for paper "Metal-Doped PdH(111) Catalysts for CO2 Reduction"

description: This dataset supplements the publication "Metal-doped PdH(111) Catalysts for CO2 Reduction" by Changzhi Ai, Tejs Vegge and Heine Anton Hansen.The dataset consists of an ASE database of doped PdH(111) surface.
DOI: 10.11583/dtu.21325017.v1
title: Data for paper "Impact of Hydrogen Concentration for CO2 reduction on PdHx: A Combination study of Cluster Expansion and Kinetics Analysis"

description: This dataset supplements the publication "Impact of Hydrogen Concentration for CO2 reduction on PdHx: A Combination study of Cluster Expansion and Kinetics Analysis" by Changzhi Ai, Jin Hyun Chang, Alexander Sougaard Tygesen, Tejs Vegge and Heine Anton Hansen.The dataset consists of an ASE database of PdHx for all sites.
DOI: 10.11583/dtu.21325017
title: Data for paper "Impact of Hydrogen Concentration for CO2 reduction on PdHx: A Combination study of Cluster Expansion and Kinetics Analysis"

description: This dataset supplements the publication "Impact of Hydrogen Concentration for CO2 reduction on PdHx: A Combination study of Cluster Expansion and Kinetics Analysis" by Changzhi Ai, Jin Hyun Chang, Alexander Sougaard Tygesen, Tejs Vegge and Heine Anton Hansen.The dataset consists of an ASE database of PdHx for all sites.
DOI: 10.5066/p95luztt
title: Remotely-sensed vegetation status, trends, and elevation for valley bottoms in Lahontan cutthroat trout (Oncorhynchus clarkii henshawi) suitable habitat in the Great Basin with summary data from 2013-2022

description: This dataset was created using remotely-sensed information within the valley bottom extent of Lahontan cutthroat trout (*Oncorhynchus clarkii henshawi*) suitable habitat as defined and delineated by the U.S. Fish and Wildlife Service. Each row represents a section of valley bottom for which the attribute was summarized based on information contained in the pixels that overlapped the valley bottom.
DOI: 10.25625/gbic2m
title: Replication Data for: Multiple redox switches of the SARS-CoV-2 main protease in vitro provide new opportunities for drug design

description: Here you will find all the output files, scripts and analysis data generated by the computational methods.
DOI: 10.25625/gbic2m/0s5stc
title: DATA.zip

description: :unav
DOI: 10.5281/zenodo.10069448
title: Multi-Crystal XRD on Cyanophage S-2L HD phosphohydrolase (DatZ) collected at room temperature with the Plate Screener

description: Multi-Crystal XRD on DatZ crystals collected at room temperature with the CRIBLEUR Plate Screener during 2022_Run2_Plate on 2022-03-23 from an in-situ MiTeGen plate. Sweeps of 35.636 degrees (value to be confirmed) were collected on each crystal, for a total of 19 data sets.
DOI: 10.5281/zenodo.10069447
title: Multi-Crystal XRD on Cyanophage S-2L HD phosphohydrolase (DatZ) collected at room temperature with the Plate Screener

description: Multi-Crystal XRD on DatZ crystals collected at room temperature with the CRIBLEUR Plate Screener during 2022_Run2_Plate on 2022-03-23 from an in-situ MiTeGen plate. Sweeps of 35.636 degrees (value to be confirmed) were collected on each crystal, for a total of 19 data sets.
DOI: 10.6084/m9.figshare.24496210
title: Data for the paper: Plant and soil microbial community assembly processes across urban vacant lots

description: Datasets used to create the main figures and tables in the paper: Plant and soil microbial community assembly processes across urban vacant lots. The file (Plant_spmatrix_all_t.csv, Plant_spmatrix_Native_t.csv, Plant_spmatrix_Exotic_t.csv) is plant community composition (a value in each cell represents species cover) data along each survey transect across urban vacant lots in Yokohama. The file (Plant_name.csv) includes nomenclature and its abbreviation. The files (OTU_table_bacteria.csv, OTU_table_fungi.csv) are bacterial and fungal community composition (a value in each cell represent number of reads) along each survey transect across urban vacant lots in Yokohama (note that presence/absence data for bacteria and fungi was used in the paper). The file (All explanatory variables_vacant lots.csv) is the data of explanatory variables used to explain plant and microbial community composition along each survey transect across urban vacant lots in Yokohama.
DOI: 10.60520/ieda/113054
title: Supplementary material associated with the article by S. Thivet et al. "Metastable liquid immiscibility in the 2018-2021 Fani Maoré lavas: new insights for volcanic nanolite formation"

description: Analytical results of Fani Maoré lavas using Raman spectroscopy, bulk rock composition, NBO/T calculations, crystal size distributions, SEM and TEM images of samples.
description: Metastable liquid immiscibility in the 2018-2021 Fani Maoré lavas: new insights for volcanic nanolite formation. Communications Earth & Environment
DOI: 10.6084/m9.figshare.24496300
title: 20231104_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24496300.v1
title: 20231104_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24495844
title: H3K27ac.WT.Prol.RPKMcov.bigwig

description: H3K27ac WT Prol ChipSeq RPKM coverage
DOI: 10.6084/m9.figshare.24495844.v2
title: H3K27ac.WT.Prol.RPKMcov.bigwig

description: H3K27ac WT Prol ChipSeq RPKM coverage
DOI: 10.6084/m9.figshare.24495844.v1
title: H3K27ac.WT.Prol.RPKMcov.bigwig

description: H3K27ac WT Prol ChipSeq RPKM coverage
DOI: 10.5281/zenodo.10067038
title: Data and Code for "Charge sensing the parity of an  Andreev molecule"

description: This folder contains the raw data and code used to generate the plots for the paper Charge sensing the parity of an  Andreev molecule.
To run the Jupyter notebook, install Anaconda and execute:

conda env create -f environment.yml
followed by:

conda activate ABS_charge
Finally,

jupyter lab
to launch the notebook.
Raw data are stored in netCDF (.nc) format. The experimental datasets are exported by the data acquisition package QCoDeS and can be read as an xarray Dataset. Both the experimental and the numerical datasets were saved as netCDF files using xarray built-in function.
DOI: 10.5281/zenodo.10067037
title: Data and Code for "Charge sensing the parity of an  Andreev molecule"

description: This folder contains the raw data and code used to generate the plots for the paper Charge sensing the parity of an  Andreev molecule.
To run the Jupyter notebook, install Anaconda and execute:

conda env create -f environment.yml
followed by:

conda activate ABS_charge
Finally,

jupyter lab
to launch the notebook.
Raw data are stored in netCDF (.nc) format. The experimental datasets are exported by the data acquisition package QCoDeS and can be read as an xarray Dataset. Both the experimental and the numerical datasets were saved as netCDF files using xarray built-in function.
DOI: 10.6084/m9.figshare.22756745
title: Fruit set after imidacloprid spraying.

description: To evaluate the effect of insecticide spraying on tomato production, an experiment was set up in three study areas apart from each other by at least 2km. Three blocks of 14 pots were established in each area, each corresponding to one experimental treatment. Insecticide applications were made very early in the morning before the flowers opened and were visited by bees. In each area, one of the blocks was pulverized with water (control treatment), the second block had insecticide pulverization done once a week (every seven days), and the third block had another for insecticide pulverization done twice a week (every 3 - 4 days), which simulates the standard management practices used by local tomato producers in the study region (treatment twice a week). The insecticide used was Evidence (commercial name - evidence® 700 WG), with the active ingredient imidacloprid. from the Neonicotinoid group.