cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24590865.v1
title: 数据--幸福信念的脆弱性.sav

description: 先前研究表明，幸福信念的脆弱性在不同时间和地区是一致的。幸福信念的脆弱性被认为与个人的情绪和行为问题有关。然而，幸福信念的脆弱性与手机成瘾等行为问题之间关系的潜在机制和边界条件尚不清楚。因此，本研究检验了幸福恐惧的中介作用和自我关注在幸福信念脆弱性与手机成瘾关系中的调节作用。469 名大学生（<i>M</i>年龄 = 20.02 岁，<i>SD</i> = 1.85）的样本完成了所有结构的可靠和准确的自我报告问卷。正如预期的那样，幸福信念的脆弱性与手机成瘾之间存在正相关关系，这是由对幸福的恐惧所介导的。此外，自我关注调节了幸福信念脆弱性对手机成瘾的直接影响和幸福信念脆弱性对幸福恐惧的影响。遗憾的是，在恐惧幸福中自我集中注意力对手机成瘾的调节作用并不显著。 我们的研究结果加深了我们对东方文化背景下幸福信念、幸福和手机成瘾的脆弱机制的理解。此外，这些发现对指导大学生塑造对幸福的积极信念，增强他们的幸福体验，减少发生行为适应问题的可能性具有指导意义。
DOI: 10.5281/zenodo.10158617
title: Dataset for paper "Southward shift and intensification of the intertropical convergence zone in the North Pacific across the mid-Pleistocene transition" submittted to Geophysical Research Letters

description: Data of SST and SSS from G. ruber 𝛿18O and Mg/Ca of core ODP871 (5°33′N, 172°21′E, water depth 1255 m) in the central equatorial Pacific.
DOI: 10.34740/kaggle/dsv/7008530
title: 📒 Meta Kaggle ported to MS SQL SERVER 2022 DB
DOI: 10.34740/kaggle/dsv/7008603
title: British Airways Reviews
DOI: 10.34740/kaggle/dsv/7008659
title: Egypt Gold Prices | Daily Updated
DOI: 10.25318/3610048701-eng
title: Gross domestic product (GDP) at basic prices, by sector and industry, provincial and territorial

description: Gross domestic product (GDP), in current dollars, evaluated at basic price for all provinces and territories. These estimates are derived from the provincial Supply and Use Tables.
DOI: 10.5281/zenodo.4555865
title: FAIR4RS Subgroup 4 - reading list of new research

description: This is a list of twenty-five suggestions of research relevant to understanding how to apply the FAIR principles for software. These should be read in conjunction with the list of references presented in the paper Towards FAIR Principles for Research Software. This list includes research published after Towards FAIR Principles for Research Software, or address gaps from disciplines missed in the paper. The suggestions were collected as part of a survey to understand what makes software FAIR / un-FAIR, as well as understanding how the FAIR principles for software should be defined. This work is part of Subroup 4 of the RDA/ReSA/FORCE11 FAIR for Research Software (FAIR4RS) Working Group. Thanks go to everyone who contributed suggestions.
DOI: 10.5281/zenodo.8112100
title: Dataset: FAIR Biomedical Research Software (FAIR-BioRS) manuscript

description: Data related to our FAIR-BioRS manuscript. More details are available at the associated GitHub repository: https://github.com/FAIR-BioRS/Data.
DOI: 10.6084/m9.figshare.22802432
title: <strong>One high-quality genome and two transcriptome datasets for two new species of </strong><em><strong>Mantamonas</strong></em><strong>, a deep-branching eukaryote clade</strong>

description: Genome assembly of the nuclear genome of <i>Mantamonas sphyraenae</i> and gene prediction files generated by Braker2 using RNA seq data and proteins as extrinsic evidence.Cleaned transcript sequences of <i>Mantamonas sphyraenae and M. vickermani</i> and candidate coding regions within predicted using Transdecoder v5.5.0transcriptome_final.fasta: transcriptomic assembly generared with RNA Spadestransdecoder.pep : peptide sequences for the final candidate ORFs; all shorter candidates within longer ORFs were removed.transdecoder.cds : nucleotide sequences for coding regions of the final candidate ORFstransdecoder.gff3 : positions within the target transcripts of the final selected ORFstransdecoder.bed : bed-formatted file describing ORF positions, best for viewing using GenomeView or IGV.Phylogenomic datasets, concatenated alignment and trees for CRuMs.
DOI: 10.6084/m9.figshare.23978322.v1
title: GNSS and Radiosonde Data from Manaus (2011-2012)

description: GNSS data in rinex format, acquired by the GNSS Manaus network during the years 2011 and 2012, along with corresponding radiosonde observations launched from Manaus city over the same timeframe. A comprehensive overview of this dataset's details can be found in the article titled "Improved estimates of daily-to-seasonal variability in Amazon GNSS tomography with optimized boundary conditions" which has been submitted to Geophysical Research Letters (GRL).
DOI: 10.17188/1201718
title: Materials Data on Cr2Te3 by Materials Project

description: Cr2Te3 is Corundum-like structured and crystallizes in the trigonal P-31c space group. The structure is three-dimensional. there are three inequivalent Cr3+ sites. In the first Cr3+ site, Cr3+ is bonded to six equivalent Te2- atoms to form a mixture of face and corner-sharing CrTe6 octahedra. The corner-sharing octahedra tilt angles range from 48–50°. All Cr–Te bond lengths are 2.77 Å. In the second Cr3+ site, Cr3+ is bonded to six equivalent Te2- atoms to form a mixture of edge and corner-sharing CrTe6 octahedra. The corner-sharing octahedral tilt angles are 48°. All Cr–Te bond lengths are 2.74 Å. In the third Cr3+ site, Cr3+ is bonded to six equivalent Te2- atoms to form a mixture of edge, face, and corner-sharing CrTe6 octahedra. The corner-sharing octahedral tilt angles are 50°. There are three shorter (2.73 Å) and three longer (2.78 Å) Cr–Te bond lengths. Te2- is bonded in a rectangular see-saw-like geometry to four Cr3+ atoms.
DOI: 10.17188/1268882
title: Materials Data on Cr2S3 by Materials Project

description: Cr2S3 is Corundum-like structured and crystallizes in the trigonal R3 space group. The structure is three-dimensional. there are four inequivalent Cr3+ sites. In the first Cr3+ site, Cr3+ is bonded to six S2- atoms to form a mixture of edge, corner, and face-sharing CrS6 octahedra. The corner-sharing octahedral tilt angles are 50°. There are three shorter (2.38 Å) and three longer (2.44 Å) Cr–S bond lengths. In the second Cr3+ site, Cr3+ is bonded to six S2- atoms to form a mixture of corner and face-sharing CrS6 octahedra. The corner-sharing octahedra tilt angles range from 45–50°. There are three shorter (2.42 Å) and three longer (2.43 Å) Cr–S bond lengths. In the third Cr3+ site, Cr3+ is bonded to six S2- atoms to form a mixture of edge and corner-sharing CrS6 octahedra. The corner-sharing octahedral tilt angles are 45°. All Cr–S bond lengths are 2.41 Å. In the fourth Cr3+ site, Cr3+ is bonded to six S2- atoms to form a mixture of edge, corner, and face-sharing CrS6 octahedra. The corner-sharing octahedral tilt angles are 50°. There are three shorter (2.38 Å) and three longer (2.44 Å) Cr–S bond lengths. There are two inequivalent S2- sites. In the first S2- site, S2- is bonded in a rectangular see-saw-like geometry to four Cr3+ atoms. In the second S2- site, S2- is bonded in a rectangular see-saw-like geometry to four Cr3+ atoms.
DOI: 10.17632/ypnndjxvkk.1
title: Consumption-based Hourly Emission Factors for Ontario and Sub-Regions 2016-2018

description: Emission Factors used for analysis of "Spatio-temporal electrical grid emission factors effects on calculated GHG emissions of commercial buildings in mixed-grid environments"
DOI: 10.4121/19388672
title: Source data of journal article: Inflicted Head Injury by Shaking Trauma in Infants: potential effect of spatiotemporal variation of the rotation center

description: Accelerations, speeds and instantaneous centers of rotation of a baby dummy head (6 weeks equivalent) determined in order to estimate the potential harmfulness of shaking an infant. Experimental data from 23 subjects. Obtained using IMU's and an optical motion capturing system.
DOI: 10.5281/zenodo.5768611
title: Tools in industry(ROBODK)

description: The current data set presents a simulated environment of a production line, describing common elements present around a robotic arm. The dataset focuses on segmentation and describes a total of 11 classes: Recipient 1 (Blue Circle) Recipient 2 (Yellow square Recipient 3 (Red rectangle) Recipient 4 (Brown rectangle) Wrench Screw Barrette cradle ball bearing Screwdriver Nut Obst1 Obst2 Background The data set was generated from a simulated environment in ROBODK in the modeling of a robotic arm for industrial tasks.
DOI: 10.5281/zenodo.7882892
title: Predicting the Future of AI with AI

description: This dataset augments the paper "Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network" by Mario Krenn, Lorenzo Buffoni, Bruno Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, Joao P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp. GitHub: https://github.com/artificial-scientist-lab/FutureOfAIviaAI
DOI: 10.6084/m9.figshare.23802876
title: <b>Whole-genome sequencing reveals adaptations of hairy-footed jerboas (</b><i><b>Dipus</b></i><b>,</b> <b>Dipodidae) to diverse desert environments</b>

description: Final filtered SNP/InDel set used for the analyses in this article.
DOI: 10.17632/zdykgmv68n.1
title: Ammonia is associated with Sepsis-Associated Encephalopathy: A Prospective Observational Study

description: A cohort of 99 patients diagnosed with sepsis 3.0 were recruited for this investigation, with serum and cerebrospinal fluid concentrations of neuron-specific enolase (NSE), S100 calcium-binding protein β (S100β), ammonia, and astrocytes being analyzed.
DOI: 10.17632/v8bsbct55n.1
title: Potentilla sericea stress-responsive spermine synthase PsSPMS enhances cadmium tolerance in Arabidopsis thaliana-qPCR/physiological

description: The manuscript dataset entitled "Potentilla sericea stress-responsive spermine synthase PsSPMS enhances cadmium tolerance in Arabidopsis thaliana" includes data and calculations for fluorescence quantification.
DOI: 10.18712/nsd-nsd2903-v5
title: Norwegian Citizen Panel Round 17, 2020

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 17, 2020  also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company Ideas 2 Evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. For access to time series data, or text data, please contact DIGSSCORE. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates is available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.18712/nsd-nsd2904-v5
title: Norwegian Citizen Panel Round 18, 2020

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 18, 2020 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company Ideas 2 Evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. For access to time series data, or text data, please contact DIGSSCORE. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates is available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.18712/nsd-nsd2940-v4
title: Norwegian Citizen Panel Round 19, 2020

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 19, 2020 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company Ideas2Evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. For access to time series data, or text data, please contact DIGSSCORE. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates is available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.5281/zenodo.8414110
title: Database: Tidal Marsh Soil Organic Carbon (MarSOC) Dataset

description: The repository is formatted in the following structure:<br> - <strong>README.md</strong>: markdown file with repository description<br> - <strong>MarSOC-Dataset.Rproj</strong>: R project file - useful when using RStudio<br> - <strong>Maxwell_MarSOC_dataset.csv</strong>: .csv file containing the final dataset. The data structure is described in the metadata file. It contains 17,454 records distributed amongst 29 countries.<br> - <strong>Maxwell_MarSOC_dataset_metadata.csv</strong>: .csv file containing the main data file metadata (equivalent to Table 1).<br> - <strong>data_paper/</strong>: folder containing the list of studies included in the dataset, as well as figures for this data paper (generated from the following R script: ‘reports/04_data_process/scripts/04_data-paper_data_clean.R’).<br> - <strong>reports/01_litsearchr/</strong>: folder containing .bib files with references from the original naive search, a .Rmd document describing the litsearchr analysis using nodes to go from the naive search to the final search string, and the .bib files from this final search, which were then imported into sysrev for abstract screening.<br> - <strong>reports/02_sysrev/</strong>: folder with .csv files exported from sysrev after abstract screening. These files contain the included studies with their various labels.<br> - <strong>reports/03_data_format/</strong>: folder containing all original data, associated scripts, and exported data.<br> - <strong>reports/04_data_process/</strong>: folder containing data processing scripts to bind and clean the exported data, as well as a script testing the different models for predicting soil organic carbon from organic matter and finalising the equation using all available data. A script testing and removing outliers is also included.
DOI: 10.22008/promice/data/ice_discharge
title: Ice dicharge for the Greenland ice sheet
DOI: 10.5281/zenodo.10158603
title: Farm Calendar Data

description: This dataset contains recordings on the applied farming practices for one cultivation period. All sensitive information that could allowing to deduce the location and the type of the cultivation have been pseudonymized. The datasets contain in the original chronological order information about: growth stages, irrigations, pesticides, harvest, fertilization and land management. The dataset is expressed with the use of two different data models: a) The ploutos_farm_calendar_data_2022.json is modeled with the use of custom data types and expressed in json formatb) The Farm calendar pcsm.ttl is modelled with the use of Ploutos Common Semantic Model (PCSM) which is an ontology based on the modular reuse of standardised data models. The scope of these two datasets is to allow further experimentation with standardised vs custom modeled datasets.
DOI: 10.5281/zenodo.10017753
title: Farm Calendar Data

description: This dataset contains recordings on the applied farming practices for one cultivation period. All sensitive information that could allowing to deduce the location and the type of the cultivation have been pseudonymized. The datasets contain in the original chronological order information about: growth stages, irrigations, pesticides, harvest, fertilization and land management. The dataset is expressed with the use of two different data models: a) The ploutos_farm_calendar_data_2022.json is modeled with the use of custom data types and expressed in json formatb) The Farm calendar pcsm.ttl is modelled with the use of Ploutos Common Semantic Model (PCSM) which is an ontology based on the modular reuse of standardised data models. The scope of these two datasets is to allow further experimentation with standardised vs custom modeled datasets.
DOI: 10.5281/zenodo.10135002
title: Replication Package for "VALIDATE: A Deep Dive into Vulnerability Prediction Datasets"

description: Replication Package for "VALIDATE: A Deep Dive into Vulnerability Prediction Datasets"

SDR Results
SDR Queries
VALIDATE User Guide
Original Studies References in BibTeX
DOI: 10.5281/zenodo.10135003
title: Replication Package for "VALIDATE: A Deep Dive into Vulnerability Prediction Datasets"
DOI: 10.5281/zenodo.10158852
title: Replication Package for "VALIDATE: A Deep Dive into Vulnerability Prediction Datasets"

description: Replication Package for "VALIDATE: A Deep Dive into Vulnerability Prediction Datasets"

SDR Results
SDR Queries
VALIDATE User Guide
Original Studies References in BibTeX
DOI: 10.5281/zenodo.10013182
title: Agro-environmental recordings

description: This dataset contains hourly measurements for the duration of one year of the following environmental parameters and units: Air Temperature (Celsius), Relative Humidity (%), Precipitation (mm), Wind Speed (km/h), Wind direction (degrees), Wind gusts (km/h), Atmospheric Pressure (mbar), Solar irradiance Copernicus (W/m2), and environmental parameters measured within the plant's canopy:  Relative Humidity in Canopy  (%), Temperature in Canopy  (°C).
The recordings are in the form of timeseries while the location is modeled using the NUTS "Nomenclature of territorial units for statistics", in order to avoid reveling the exact location of the farm/parcel but to provide information in the same time about the relevant area. TThe dataset is expressed with the use of two different data models: a) The ploutos_agro-environmental_data_2022.csv is modeled with the use of custom data types and expressed in json formatb) The Agro-environmental recordings pcsm.ttl is modelled with the use of Ploutos Common Semantic Model (PCSM) which is an ontology based on the modular reuse of standardised data models. The scope of these two datasets is to allow further experimentation with standardised vs custom modeled datasets.
DOI: 10.5281/zenodo.10013183
title: Agro-environmental recordings

description: This dataset contains hourly measurements for the duration of one year of the following environmental parameters and units: Air Temperature (Celsius), Relative Humidity (%), Precipitation (mm), Wind Speed (km/h), Wind direction (degrees), Wind gusts (km/h), Atmospheric Pressure (mbar), Solar irradiance Copernicus (W/m2), and environmental parameters measured within the plant's canopy:  Relative Humidity in Canopy  (%), Temperature in Canopy  (°C).
The recordings are in the form of timeseries while the location is modeled using the NUTS "Nomenclature of territorial units for statistics", in order to avoid reveling the exact location of the farm/parcel but to provide information in the same time about the relevant area.
DOI: 10.5281/zenodo.10158624
title: Agro-environmental recordings

description: This dataset contains hourly measurements for the duration of one year of the following environmental parameters and units: Air Temperature (Celsius), Relative Humidity (%), Precipitation (mm), Wind Speed (km/h), Wind direction (degrees), Wind gusts (km/h), Atmospheric Pressure (mbar), Solar irradiance Copernicus (W/m2), and environmental parameters measured within the plant's canopy:  Relative Humidity in Canopy  (%), Temperature in Canopy  (°C).
The recordings are in the form of timeseries while the location is modeled using the NUTS "Nomenclature of territorial units for statistics", in order to avoid reveling the exact location of the farm/parcel but to provide information in the same time about the relevant area. TThe dataset is expressed with the use of two different data models: a) The ploutos_agro-environmental_data_2022.csv is modeled with the use of custom data types and expressed in json formatb) The Agro-environmental recordings pcsm.ttl is modelled with the use of Ploutos Common Semantic Model (PCSM) which is an ontology based on the modular reuse of standardised data models. The scope of these two datasets is to allow further experimentation with standardised vs custom modeled datasets.
DOI: 10.5281/zenodo.7289233
title: Humoral Effect of SARS-CoV-2 mRNA vaccination with booster dose in solid tumor patients with different anticancer treatments

description: Cancer patients are at risk for serious complications in case of SARS-CoV-2 infection. In these patients SARS-CoV-2 vaccination is strongly recommended, with the preferential use of mRNA vaccines. The antibody response in cancer patients is variable, depending on the type of cancer and antitumoral treatments. In solid tumor patients an antibody response similar to healthy subjects has been confirmed after the second dose. Only few studies explored the duration of immunization after the two doses and the effect of the third dose. In our study we explored a cohort of 273 solid tumor patients at different stages and treated with different anticancer therapies. Our analysis demonstrated that the persistence of the neutralizing antibody and the humoral response after the booster dose of vaccine was not dependent on either the tumor type, the stage or type of anticancer treatment.
DOI: 10.5281/zenodo.7289234
title: Humoral Effect of SARS-CoV-2 mRNA vaccination with booster dose in solid tumor patients with different anticancer treatments

description: Cancer patients are at risk for serious complications in case of SARS-CoV-2 infection. In these patients SARS-CoV-2 vaccination is strongly recommended, with the preferential use of mRNA vaccines. The antibody response in cancer patients is variable, depending on the type of cancer and antitumoral treatments. In solid tumor patients an antibody response similar to healthy subjects has been confirmed after the second dose. Only few studies explored the duration of immunization after the two doses and the effect of the third dose. In our study we explored a cohort of 273 solid tumor patients at different stages and treated with different anticancer therapies. Our analysis demonstrated that the persistence of the neutralizing antibody and the humoral response after the booster dose of vaccine was not dependent on either the tumor type, the stage or type of anticancer treatment.
DOI: 10.5281/zenodo.10159113
title: ETUV3S
DOI: 10.5281/zenodo.10159114
title: ETUV3S
DOI: 10.34740/kaggle/dsv/6931213
title: Divvy trip data
DOI: 10.5281/zenodo.10159136
title: Mouse Kidney Atlas
DOI: 10.5281/zenodo.10159138
title: Simulation data for paper "Evaluation of Fendiline Treatment in VP40 System with Nucleation-Elongation Process: A Computational Model of Ebola Virus Matrix Protein Assembly"

description: This is the original simulation data sets for paper "Evaluation of Fendiline Treatment in VP40 System with Nucleation-Elongation Process: A Computational Model of Ebola Virus Matrix Protein Assembly".