cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vknx6kd5g4
title: Exploring the wetting behaviors and structural responses of clay-water systems based on a coarse-grained approach

description: Supplementary data for the article entitled "Exploring the wetting behaviors and structural responses of clay-water systems based on a coarse-grained approach".
DOI: 10.6084/m9.figshare.16627054.v2
title: File_S2_Metadata.ATAC_Cells.zip

description: Preview version
DOI: 10.6084/m9.figshare.29025803.v1
title: Sequencing reads of phage T2 infection of Kiwa cells

description: The DNA of Kiwa and YFP cells with or without phage T2 infection were extracted after 15 minutes of exposure in the phage group.
DOI: 10.17632/g8794njmrs
title: Supplemental Material JAADi

description: Supplementary methods and tables to accompany the manuscript titled "Superior Performance of Two Combined Polygenic Scores for Predicting Skin Cancer Risk and Differentiating Risk of Melanoma from Keratinocyte Carcinomas".
DOI: 10.17632/sd3sf9ft56
title: The Impact of Individual Characteristics on Medical Library Professionals' Management of Medical Libraries in North-East India: a quantitative analysis

description: To what extent medical library professionals’ individual characteristics affect how they use library management functions?
DOI: 10.25378/janelia.19709311.v3
title: Optimization of genetically encoded GABA indicator

description: The GENIE Project Team at HHMI Janelia has developed a second-generation genetically encoded GABA indicator, in collaboration with Jonathan Marvin and Loren Looger. The sensor is based on iGABASnFR (1), and has the following features, tested extensively in cultured neurons: <br> Positive-going version (iGABASnFR2) and negative-going version (iGABASnFR2n) iGABASnFR2: 4x higher sensitivity to APs than iGABASnFR, iGABASnFR2n: 2x higher sensitivity to APs than iGABASnFR. Both enable single-AP high-speed imaging Enables detection of signal in individual dendrites and synaptic boutons Higher affinity for GABA (iGABASnFR2: EC50: 6.4±0.2 μM, ~7x tighter than iGABASnFR, ΔF/Fmax=0.5±0.05, ~2x higher than iGABASnFR) Imaged with standard GFP filter set
DOI: 10.6084/m9.figshare.10084619.v2
title: PLAID 2018

description: The 2019 version of Plug-Load Appliance Identification Dataset (PLAID), containing voltage and current measurements from different electrical household appliances sampled at 30 kHz, collected at 65 different locations in Pittsburgh, Pennsylvania (US).
DOI: 10.6084/m9.figshare.11932038.v2
title: Supplemental metadata and measures of microbial alpha diversity from A bird's-eye view of phylosymbiosis: weak signatures of phylosymbiosis among all 15 species of cranes

description: In numerous animal clades, the evolutionary history of host species drives patterns of gut microbial community structure, resulting in more divergent microbiota with increasing phylogenetic distance between hosts. This phenomenon, termed phylosymbiosis, has been observed in diverse evolutionary lineages, but has been difficult to detect in birds. Previous tests of phylosymbiosis among birds have been conducted using wild individuals, and thus interspecific differences in diet and environment may have masked a phylogenetic signal. Therefore, we tested for phylosymbiosis among all 15 species of cranes (family Gruidae) housed in the same captive environment and maintained on identical diets. 16S rRNA sequencing revealed that crane species harbour distinct gut microbiota. Overall, we detected marginally significant patterns of phylosymbiosis, the strength of which was increased when including the estimates of absolute microbial abundance (rather than relative abundance) derived from microbial densities determined by flow cytometry. Using this approach, we detected the statistically significant signatures of phylosymbiosis only after removing male cranes from our analysis, suggesting that using mixed-sex animal cohorts may prevent the detection of phylosymbiosis. Though weak compared with mammals (and especially insects), these results provide evidence of phylosymbiosis in birds. We discuss the potential differences between birds and mammals, such as transmission routes and host filtering, that may underlie the differences in the strength of phylosymbiosis.
DOI: 10.6084/m9.figshare.19733320.v3
title: Original data of the manuscript entitled "JIPipe: Visual batch processing for ImageJ"

description: This dataset contains all original data used in the manuscript entitled "JIPipe: Visual batch processing for ImageJ" by Gerst and Cseresnyés <em>et al</em>. <br> Please visit <sub>https://www.jipipe.org</sub> for tutorials, documentation, and downloads. Contained data <br> Following *.zip files contain an example pipeline, including data and generated outputs. Confrontation Assay.zip (<sub>Original publication</sub>) Droplets.zip (<sub>Original publication)</sub> Kidney.zip (<sub>Original publication</sub>) Liver.zip (<sub>Original publication</sub>) Nematodes.zip (<sub>Original publication</sub>) <strong>Info: We released updated versions of these files. Please prefer these protocols/data</strong> All *.zip files share the same basic structure: <br> ProjectAndCache contains the results ProtocolAndData contains the project with the original data compartments-*.png is a screenshot of the whole pipeline All *.zip files are also provided as copy without the results (smaller file size) Opening and running a project Info: Sufficient computer memory is required to run certain projects. Info: "Confrontation Assay" and "Droplets" contain alternative solutions based on deep learning. You must install Cellpose via JIPipe (as prompted) to run them. <br> Open JIPipe (via <em>ImageJ &gt; Plugins &gt; JIPipe &gt; JIPipe GUI</em>) Click <em>Project &gt; Open</em> and select the *.jip project file in ProtocolAndData Either click "Run" (top right) or click the green button inside the node of interest to run the whole or a part of the pipeline Opening a result Open JIPipe (via <em>ImageJ &gt; Plugins &gt; JIPipe &gt; JIPipe GUI</em>) Click <em>Project &gt; Open analysis output</em> and select the ProjectAndCache directory Click "<em>Load in new tab</em>"
DOI: 10.6084/m9.figshare.27126270.v1
title: Kallang-Carbon-isotope-XRF-data.xlsx

description: Stable carbon isotopes of benthic foraminifera Asterorotalia pulchella and XRF elemental analysis data
DOI: 10.6084/m9.figshare.28524317.v1
title: Quality control results of transcriptome data

description: Human lung adenocarcinoma cells (A549) and human monocytic cells (THP-1) were infected with H3N23 influenza virus A virus. Transcriptome analysis were performed by next generation RNA sequencing of three replicates each for infected A549 cells at 4, 8 and 24h p.i. and infected THP-1 cells at 4, 8, 12 and 24h p.i., and corresponding set of non-infected controls. This quality control results of the sequencing are provided here.
DOI: 10.6084/m9.figshare.3464237.v3
title: Finite element input mesh & data files

description: This compressed folder contains the patient-specific FE models that consists of the all necessary input files to run the simulations of the in-silico oncoplasic breast surgery, as well as the corresponding finite element meshes.<br>All files can be opened using a conventional text editor, while the finite element meshes can be viewed using Gmsh (http://gmsh.info/).<br><br>
DOI: 10.6084/m9.figshare.1309390.v1
title: Interhemispheric fMRI

description: Interhemispheric differences of fMRI responses to visual stimulation
DOI: 10.6084/m9.figshare.26085057.v1
title: HiGTS_2004s1

description: HiGTS is a high temporal resolution global gridded dataset of human thermal stress metrics. Derived using climate variables from ERA5-Land and ERA5, the HiGTS consists of hourly gridded maps of Universal Thermal Climate Index (UTCI), Universal Thermal Stress (UTS), and daily Thermal Stress Duration (TSD) at 0.1° × 0.1° spatial resolution over the global land surface.HiGTS_2004s1 contains the data from January 1, 2004 to March 31, 2004.
DOI: 10.6084/m9.figshare.15217512.v3
title: UV-adVISor: Attention-Based Recurrent Neural Networks to Predict UV-Vis Spectra

description: Datasets for manuscript in Analytical Chemistry
DOI: 10.6084/m9.figshare.22215121.v1
title: Acartia tonsa quiescence Supplementary Table.xlsx

description: Spreadsheet containing all the DET in the copepod Acartia tonsa between different embryonic developmental stages in subitaneous and quiescent programs. This data was originated from the transcriptome with accession number ( GSE210554)
DOI: 10.6084/m9.figshare.28734347.v2
title: Dataset

description: Dataset of the manuscript.
DOI: 10.6084/m9.figshare.26048266.v1
title: Estimating Digital Product Trade through Corporate Revenue Data

description: This dataset includes the data generated in the manuscript "Estimating Digital Product Trade through Corporate Revenue Data" by Viktor Stojkoski, Philipp Koch, Eva Coll, and César A. Hidalgo<br>We include two .csv files:<br>1) all_country_trade_ot_intervals.csv - Country level bilateral trade estimates per digital product category using the subsidiary assignment.2) all_country_trade_hq_intervals.csv - Country level bilateral trade estimates per digital product category using the headquarters assignment.<br>The documents have the following columns:firm - name of parent company/app developer (only for the firm level data)year - year of tradecategory - digital categoryiso_o - exporter countryiso_d - importer countrytrade_value_pred - estimated trade valuelb_value - lower bound for the 95% confidence interval of the estimated trade valueub_value - upper bound for the 95% confidence interval of the estimated trade value<br>We also provide two lists that have details on the developers and firms included in our estimations: apps_unique_category_entries.csv and firms_unique_category_entries. The first list (apps_unique_category_entries.csv) includes the name of the app developer, their category and the country where they are registered. The second list, includes the firms, their digital categories, countries where they are registered, and their parent company.
DOI: 10.6084/m9.figshare.28280507.v2
title: Supplementary Tables for Lei et al. (2025) submitted to <i>Journal of Geophysical Research: Solid Earth</i>

description: This file includes Supplementary Tables S1-S5 for: Lei, K., Wang, H., Liou, P., Jiang, J., Guo, J., & Li, X.-H. Paired Si–O Isotopes of Detrital Zircons Trace Diverse Magmatic Sources of Archean Continental Crust. <i>Journal of Geophysical Research: Solid Earth</i>, submitted in February 2025
DOI: 10.17632/hzfwzzsk8f
title: Electric current consumption and meteorological data of Alto Paraná, Paraguay

description: The data set provides information of electric current consumption and meteorological data of the region of Alto Paraná, Paraguay. Electric current consumption set includes datetime (ISO 8601 without timezone), substation, feeder and consumption (amperage) with an hourly frequency. Meteorological data includes datetime (ISO 8601 without timezone), temperature (Celsius) , relative humidity (percentage), wind speed (km/h, kilometers per hour) and atmospheric pressure (hPa, hectopascal) at the station level with a frequency of every three hours. 

Both dataset spans from January 2017 to December 2020, the meteorological set contains  22.445 records of one weather station and electricity consumption set contains data from 55 feeders distributed in 14 substations, includes a total of 1.848.947 records.

This set can be used to train and validate the performance of machine learning algorithms used in regression and classification as well as modelling, simulation and optimization problems related to energy consumption and climate.
DOI: 10.17632/mkdj26xcpv
title: Welding distortions

description: Angular welding distortion data on T-joint, Corner joint and single-V butt joint, all available data that this data repository system accepted.
DOI: 10.17633/rd.brunel.23742222.v1
title: Open access data for the IEEE 13 bus system implementation in OpenDSS associated with the IEEE Access paper "Reactive Power Control of PV Inverters in Active Distribution Grids with High PV Penetration"

description: Open data associated with the IEEE Access paper "Reactive Power Control of PV Inverters in Active Distribution Grids with High PV Penetration" <br> <br> <strong>File name Description</strong> IEEE13_v1 OpenDSS - model for the IEEE 13-bus feeder IEEE13NewBusXY - XY coordinates of the IEEE 13-bus feeder LineCodes - OpenDSS file with lines parameters used with the IEEE 13-bus feeder Lines - OpenDSS file with MV lines parameters used with the IEEE 13-bus feeder LateralsLines - OpenDSS file with laterals lines parameters used with the IEEE 13-bus feeder LateralPVs2 - OpenDSS file with PV systems parameters used with the IEEE 13-bus feeder Regulator - OpenDSS file with regulator parameters used with the IEEE 13-bus feeder Transformers - OpenDSS file with the main transformer parameters used with the IEEE 13-bus feeder LateralsXFMR - OpenDSS file with the laterals transformers parameters used with the IEEE 13-bus feeder SimpleRadial2014_Loaded - OpenDSS model for the simple low voltage radial system PV_30kWs_10%kVA - OpenDSS file with PV systems parameters used with the simple low voltage radial system SimpleRadial_BusXY - XY coordinates of the simple low voltage radial system IrradShapes-2min - Irradiance profiles with 2 minutes resolution LoadShapes-2min - Load profiles with 2 minutes resolution
DOI: 10.5281/zenodo.13353287
title: Adverse Outcome Pathway Wiki RDF
DOI: 10.5281/zenodo.14850921
title: Adverse Outcome Pathway Wiki RDF

description: This dataset is the RDF generated from the AOP-Wiki data release (aopwiki.org/downloads). It was generated using a Jupyter notebook that is available on GitHub (github.com/marvinm2/AOPWikiRDF), and the process and additional description of the RDF have been published (doi.org/10.1089/aivt.2021.0010).
description: Funded by the European Union's Horizon 2020 (EU 2020) research and innovation program under grant agreement no. 681002 (EU-ToxRisk), grant agreement no. 814572 (NanoSolveIT), grant agreement no. 814425 (RiskGONE), EINFRA-22-2016 program under grant agreement no. 731075 (OpenRiskNet), and VHP4Safety, which is funded by the Netherlands Research Council (NWO) 'Netherlands Research Agenda: Research on Routes by Consortia' (NWA-ORC 1292.19.272)
DOI: 10.5281/zenodo.14995605
title: Adverse Outcome Pathway Wiki RDF

description: This dataset is the RDF generated from the AOP-Wiki data release (aopwiki.org/downloads). It was generated using a Jupyter notebook that is available on GitHub (github.com/marvinm2/AOPWikiRDF), and the process and additional description of the RDF have been published (doi.org/10.1089/aivt.2021.0010).
description: Funded by the European Union's Horizon 2020 (EU 2020) research and innovation program under grant agreement no. 681002 (EU-ToxRisk), grant agreement no. 814572 (NanoSolveIT), grant agreement no. 814425 (RiskGONE), EINFRA-22-2016 program under grant agreement no. 731075 (OpenRiskNet), and VHP4Safety, which is funded by the Netherlands Research Council (NWO) 'Netherlands Research Agenda: Research on Routes by Consortia' (NWA-ORC 1292.19.272)
DOI: 10.5281/zenodo.15117729
title: Adverse Outcome Pathway Wiki RDF

description: This dataset is the RDF generated from the AOP-Wiki data release (aopwiki.org/downloads). It was generated using a Jupyter notebook that is available on GitHub (github.com/marvinm2/AOPWikiRDF), and the process and additional description of the RDF have been published (doi.org/10.1089/aivt.2021.0010).
description: Funded by the European Union's Horizon 2020 (EU 2020) research and innovation program under grant agreement no. 681002 (EU-ToxRisk), grant agreement no. 814572 (NanoSolveIT), grant agreement no. 814425 (RiskGONE), EINFRA-22-2016 program under grant agreement no. 731075 (OpenRiskNet), and VHP4Safety, which is funded by the Netherlands Research Council (NWO) 'Netherlands Research Agenda: Research on Routes by Consortia' (NWA-ORC 1292.19.272)
DOI: 10.5281/zenodo.15314606
title: Adverse Outcome Pathway Wiki RDF

description: This dataset is the RDF generated from the AOP-Wiki data release (aopwiki.org/downloads). It was generated using a Jupyter notebook that is available on GitHub (github.com/marvinm2/AOPWikiRDF), and the process and additional description of the RDF have been published (doi.org/10.1089/aivt.2021.0010).
description: Funded by the European Union's Horizon 2020 (EU 2020) research and innovation program under grant agreement no. 681002 (EU-ToxRisk), grant agreement no. 814572 (NanoSolveIT), grant agreement no. 814425 (RiskGONE), EINFRA-22-2016 program under grant agreement no. 731075 (OpenRiskNet), and VHP4Safety, which is funded by the Netherlands Research Council (NWO) 'Netherlands Research Agenda: Research on Routes by Consortia' (NWA-ORC 1292.19.272)
DOI: 10.5281/zenodo.15568399
title: Adverse Outcome Pathway Wiki RDF

description: This dataset is the RDF generated from the AOP-Wiki data release (aopwiki.org/downloads). It was generated using a Jupyter notebook that is available on GitHub (github.com/marvinm2/AOPWikiRDF), and the process and additional description of the RDF have been published (doi.org/10.1089/aivt.2021.0010).
description: Funded by the European Union's Horizon 2020 (EU 2020) research and innovation program under grant agreement no. 681002 (EU-ToxRisk), grant agreement no. 814572 (NanoSolveIT), grant agreement no. 814425 (RiskGONE), EINFRA-22-2016 program under grant agreement no. 731075 (OpenRiskNet), and VHP4Safety, which is funded by the Netherlands Research Council (NWO) 'Netherlands Research Agenda: Research on Routes by Consortia' (NWA-ORC 1292.19.272)
DOI: 10.6084/m9.figshare.11503296.v1
title: bioassay data from: More is not always better: coinfections with defensive symbionts generate highly variable outcomes.

description: Weldon SR, Russell JA, Oliver KM. 2020. More is not always better: coinfections. with defensive symbionts generate highlyvariable outcomes. Appl Environ Microbiol 86:e02537-19. https://doi.org/10.1128/AEM .02537-19.Enemy challenge and component fitness assays. <br>
DOI: 10.6084/m9.figshare.14197333.v1
title: Identification of conserved slow codons that are important for protein expression and function

description: Due to the redundancy of the genetic code most amino acids are encoded by several ‘synonymous‘ codons. These codons are used unevenly, and each organism demonstrates its own unique codon usage bias, where the ‘preferred’ codons are associated with tRNAs that are found in high concentrations. Therefore, for decades, the prevailing view had been that preferred and non-preferred codons are linked to high or slow translation rates, respectively. However, this simplified view is contrasted by the frequent failures of codon-optimization efforts and by evidence of non-preferred (<i>i.e</i>. ‘slow’) codons having specific roles important for efficient production of functional proteins. One such specific role of slower codons is the regulation of co-translational protein folding, a complex biophysical process that is very challenging to model or to measure. Here, we combined a genome-wide approach with experiments to investigate the role of slow codons in protein production and co-translational folding. We analysed homologous gene groups from divergent bacteria and identified positions of inter-species conservation of bias towards slow codons. We then generated mutants where the conserved slow codons are substituted with ‘fast’ ones, and experimentally studied the effects of these codon substitutions. Using cellular and biochemical approaches we find that at certain locations, slow-to-fast codon substitutions reduce protein expression, increase protein aggregation, and impair protein function. This report provides an approach for identifying functionally relevant regions with slower codons and demonstrates that such codons are important for protein expression and function.
DOI: 10.17632/d9jzn48bgw
title: microarray data for ISCIENCE-D-20-00790

description: microarray data for hearts exposed to TAC and so on
DOI: 10.17632/fbnmwnyg92
title: Irradiated fuel salt data library for a molten salt reactor produced with Serpent2 and SOURCES 4C codes

description: The data library applies to a selected molten salt reactor concept developed by Seaborg Technologies in Denmark. The data has been collated from output files produced through simulations carried out using the Monte-Carlo particle transport code, Serpent2 and the code SOURCE 4C. The data includes information such as isotopic mass densities (in g/cm3), gamma source (in photons/sec), decay heat (in Watts), spontaneous fission rates (in fissions/sec), neutron emissions rates (in neutrons/s*cm3). 

The columns use the following naming convention:
1. Isotopic mass density: isotope name i.e. Cs137 for Cesium 137 isotope, Am241 for Americium 241 isotope and so on.
2. Gamma source contributions: Isotope name+’_GS’ i.e. Cs137_GS for contribution of Cesium 137 isotope to gamma emission rates
3. Decay heat contributions: Isotope name+’_DH’ i.e. Am241_GS for contribution of Americium 241 isotope to decay heat production
4. Spontaneous fission rate contributions: Isotope name+’_SF’ i.e. Cf252_SF for contribution of Californium 252 isotope to spontaneous fission rates

The neutron emission rates (from spontaneous fissions and from alpha,n reactions) are obtained using SOURCES 4C code and are summed up over all energies and nuclides and included under the columns ‘SF’ and ‘AN’ respectively. The mass densities are reported for a total of 1,398 nuclides. The gamma source, decay heat, and spontaneous fission rate contributions to the total are reported for all 1,398 nuclides. 

The data library has 310,575 combinations of BU, IE, and CT and 5,600 columns of data associated with each combination describing the henceforth explained properties of the irradiated salt.

The data is formatted as a csv (comma separated value) file which can be parsed using popular data analysis tools such as Pandas. 
CAUTION: It is not advisable to load the data library using an everyday text editor or a spreadsheet management tool (such as Microsoft Word or Excel respectively) due to its large size. The csv file is contained in a zip archive and must be extracted first.
DOI: 10.6084/m9.figshare.11321993.v2
title: HI_total for IBV

description: HI_total for IBV
DOI: 10.6084/m9.figshare.21779591.v1
title: Haptophyte phylogenomic data

description: It includes the nuclear drafts, GeMoMa annotations, and the potential contaminations.
DOI: 10.6084/m9.figshare.24511318.v1
title: <b>Explorers are greener? Investigating personality traits, connectedness to nature and attitudes toward exploring in various pro-environmental behaviors</b>

description: 649 adults aged 18-59 (405 women)Information about:- Gender<br>- Age<br>- Personality traits (Big 5 inventory - 44 items)<br>- Connectedness to Nature<br>- Wayfinding inclinations: Spatial Anxiety and Attitudes toward Exploration<br>- Pro-environmental behaviors (PEBS)