cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11956965
title: Collecting and characterizing existing and freely accessible research integrity educational resources

description: In addition to effective training practices, well-structured educational resources are important for developing successful research integrity training programs. A considerable amount of educational material has been developed in the last years, but there is a necessity to find better ways to assess and categorize the already existing resources. We collected 237 freely available online RI educational resources with the aim to describe them in as much detail as possible using a set of well-defined criteria. We developed a grid that gives a full description, based on our 21 criteria, for each collected resource. Mainly videos and online RI training are present in our collection. Worldwide, resources are mainly from the US, whereas in Europe mainly from the UK. In the majority of the cases, the educational resources are not customized, presenting the big three (falsification, fabrication, and plagiarism) as the most addressed topics. Making RI educational resources easily accessible might help to increase awareness about the topic. Moreover, the characterization we provide might help researchers and students to deal with daily RI-related issues, to look for the right tool at the right time, and might help institutions and trainers to develop new trainings without the need to develop new tools. <b>Abbreviations:</b> CITI: Collaborative Institutional Training Initiative; COPE: Committee on Publication Ethics; ENERI: European Network of Research Ethics and Research Integrity; ENRIO: the European Network of Research Integrity Offices; EU: European Union; NIH: National Institutes of Health; NSF: National Science Foundation; NRIN: the Netherlands Research Integrity Network; ORI: the Office of Research Integrity; PPT: powerpoint; QRP: questionable research practice; RI: research integrity; RCR: responsible conduct of research
DOI: 10.6084/m9.figshare.11956965.v1
title: Collecting and characterizing existing and freely accessible research integrity educational resources

description: In addition to effective training practices, well-structured educational resources are important for developing successful research integrity training programs. A considerable amount of educational material has been developed in the last years, but there is a necessity to find better ways to assess and categorize the already existing resources. We collected 237 freely available online RI educational resources with the aim to describe them in as much detail as possible using a set of well-defined criteria. We developed a grid that gives a full description, based on our 21 criteria, for each collected resource. Mainly videos and online RI training are present in our collection. Worldwide, resources are mainly from the US, whereas in Europe mainly from the UK. In the majority of the cases, the educational resources are not customized, presenting the big three (falsification, fabrication, and plagiarism) as the most addressed topics. Making RI educational resources easily accessible might help to increase awareness about the topic. Moreover, the characterization we provide might help researchers and students to deal with daily RI-related issues, to look for the right tool at the right time, and might help institutions and trainers to develop new trainings without the need to develop new tools. <b>Abbreviations:</b> CITI: Collaborative Institutional Training Initiative; COPE: Committee on Publication Ethics; ENERI: European Network of Research Ethics and Research Integrity; ENRIO: the European Network of Research Integrity Offices; EU: European Union; NIH: National Institutes of Health; NSF: National Science Foundation; NRIN: the Netherlands Research Integrity Network; ORI: the Office of Research Integrity; PPT: powerpoint; QRP: questionable research practice; RI: research integrity; RCR: responsible conduct of research
DOI: 10.6084/m9.figshare.11956917
title: Choke point index from Oncogene inference optimization using constraint-based modelling incorporated with protein expression in normal and tumour tissues

description: Choke_Pt_index=1: Single input and Multi-output at the metabolite; 2: Multi-input and Single output; 3: Single input and Single output
DOI: 10.6084/m9.figshare.11956920
title: One-hit and two-hit deficiencies from Oncogene inference optimization using constraint-based modelling incorporated with protein expression in normal and tumour tissues

description: Thirty inferred one-hit and two-hit deficiencies obtained by the approach, and their evidences surveying from PubMed and cancer databases.
DOI: 10.6084/m9.figshare.11956923
title: Protein-protein interactions from Oncogene inference optimization using constraint-based modelling incorporated with protein expression in normal and tumour tissues

description: Protein-protein interactions with different number of clusters.
DOI: 10.6084/m9.figshare.11956923.v1
title: Protein-protein interactions from Oncogene inference optimization using constraint-based modelling incorporated with protein expression in normal and tumour tissues

description: Protein-protein interactions with different number of clusters.
DOI: 10.6084/m9.figshare.11956917.v1
title: Choke point index from Oncogene inference optimization using constraint-based modelling incorporated with protein expression in normal and tumour tissues

description: Choke_Pt_index=1: Single input and Multi-output at the metabolite; 2: Multi-input and Single output; 3: Single input and Single output
DOI: 10.6084/m9.figshare.11956911
title: Survival analysis from Oncogene inference optimization using constraint-based modelling incorporated with protein expression in normal and tumour tissues

description: Survival analysis from HPA to explain survival significance of inferred oncogenes
DOI: 10.6084/m9.figshare.11956911.v1
title: Survival analysis from Oncogene inference optimization using constraint-based modelling incorporated with protein expression in normal and tumour tissues

description: Survival analysis from HPA to explain survival significance of inferred oncogenes
DOI: 10.6084/m9.figshare.11956920.v1
title: One-hit and two-hit deficiencies from Oncogene inference optimization using constraint-based modelling incorporated with protein expression in normal and tumour tissues

description: Thirty inferred one-hit and two-hit deficiencies obtained by the approach, and their evidences surveying from PubMed and cancer databases.
DOI: 10.6084/m9.figshare.11956845
title: Bashar Malkawi, Lecture Notes: Gender and Trade Law Course

description: <b>Lecture Notes: "Gender and Business/Trade law" Course. Central European University, Budapest, Hungary, 2020</b>
DOI: 10.6084/m9.figshare.11956845.v1
title: Bashar Malkawi, Lecture Notes: Gender and Trade Law Course

description: <b>Lecture Notes: "Gender and Business/Trade law" Course. Central European University, Budapest, Hungary, 2020</b>
DOI: 10.6084/m9.figshare.11956836
title: Figure scripts and data to accompany "Boulders as a lithologic control on river and landscape response to tectonic forcing at the Mendocino Triple Junction"

description: This dataset contains data and figure scripts for the following paper:<br>Shobe, C.M., Bennett, G.L., Tucker, G.E., Roback, K., Miller, S.R., and Roering, J.J., (2020) Boulders as a lithologic control on river and landscape response to tectonic forcing at the Mendocino Triple Junction: <i>Geological Society of America Bulletin</i>.<br>There are three key elements:1) raw_boulder_mapping_photos: satellite images exported from Google Earth and used for boulder mapping.2) annotated_boulder_mapping_photos: the same images with an overlay showing the lines delineating mapped boulder long axes.3) figure_scripts_and_data: the data and Python scripts required to reproduce figures 3-11 from the paper, as well as PDFs of Figures 1 and 2 (figures 1 and 2 were produced using GIS and vector art programs).
DOI: 10.6084/m9.figshare.11956836.v1
title: Figure scripts and data to accompany "Boulders as a lithologic control on river and landscape response to tectonic forcing at the Mendocino Triple Junction"

description: This dataset contains data and figure scripts for the following paper:<br>Shobe, C.M., Bennett, G.L., Tucker, G.E., Roback, K., Miller, S.R., and Roering, J.J., (2020) Boulders as a lithologic control on river and landscape response to tectonic forcing at the Mendocino Triple Junction: <i>Geological Society of America Bulletin</i>.<br>There are three key elements:1) raw_boulder_mapping_photos: satellite images exported from Google Earth and used for boulder mapping.2) annotated_boulder_mapping_photos: the same images with an overlay showing the lines delineating mapped boulder long axes.3) figure_scripts_and_data: the data and Python scripts required to reproduce figures 3-11 from the paper, as well as PDFs of Figures 1 and 2 (figures 1 and 2 were produced using GIS and vector art programs).
DOI: 10.6084/m9.figshare.11956548
title: An account of luminescence in the Ponto-Caspian amphipod Pontogammarus maeoticus (Sowinskyi, 1894), with an overview of amphipod bioluminescence

description: The table contains an overview of all amphipod species known to produce bioluminescence.
DOI: 10.6084/m9.figshare.11956548.v1
title: An account of luminescence in the Ponto-Caspian amphipod Pontogammarus maeoticus (Sowinskyi, 1894), with an overview of amphipod bioluminescence

description: The table contains an overview of all amphipod species known to produce bioluminescence.
DOI: 10.6084/m9.figshare.11956482
title: Simulations of the formation of solar filament fine structures and their counter-streaming flows

description: fig1.psd: The original image file for Figure 1;fig2.sav: The original data for plotting Figure 2;fig3.sav: The original data for plotting Figure 3;fig4.sav: The original data for plotting Figure 4;fig5.sav: The original data for plotting Figure 5;fig6.sav: The original data for plotting Figure 6.Except fig1.pdf which is opened with Photoshop, all other files can be read with the "restore filename" command in the Interactive Data Language (IDL) environment.
DOI: 10.6084/m9.figshare.11956422
title: Evaluation of the influence of chronic low-dose radiation on DNA repair gene polymorphisms [<i>XRCC1</i>, <i>XRCC3, PRKDC (XRCC7), LIG1</i>, <i>NEIL1</i>] in individuals from normal and high level natural radiation areas of Kerala Coast

description: <b>Background:</b> Single Nucleotide Polymorphisms (SNPs) at DNA repair genes are considered as potential biomarkers of radio-sensitivity. The coastal belt of Kerala in south west India has a patchy distribution of monazite in its beach sand that contains Th-232 and its decay products. Thus, radiation levels in this area vary from &lt;1.0mGy to 45.0mGy/year. The areas with external gamma radiation dose &gt;1.5mGy/year are considered as High-Level Natural Radiation Areas (HLNRA) and ≤ 1.5mGy/year are Normal Level Natural Radiation Area (NLNRA). <b>Objective:</b> In the present study, an attempt was made to evaluate the influence of chronic low dose radiation exposure on DNA repair gene polymorphisms in NLNRA and HLNRA population of Kerala coast. <b>Materials and methods:</b> Genomic DNA was isolated from venous blood samples of 246 random, healthy individuals (NLNRA, <i>N</i> = 104; HLNRA, <i>N</i> = 142) and genotyping of five SNPs such as X-ray repair cross complementing 1(<i>XRCC1 Arg399Gln</i>), X-ray repair cross complementing 3 (<i>XRCC3 Thr241Met</i>], Protein kinase, DNA-activated, catalytic subunit (<i>PRKDC</i>) (X-ray repair cross-complementing group 7, <i>XRCC7 G/T</i>), nei like DNA glycosylase 1 (<i>NEIL1 G/T</i>) and DNA ligase 1 (<i>LIG1 A/C</i>) was carried out using PCR based restriction fragment length polymorphism (PCR-RFLP) followed by silver staining. <b>Results:</b> Our results showed no significant difference in genotype frequencies in HLNRA vs NLNRA at three of the five SNPs studied i.e. <i>XRCC1 Arg399Gln</i> (χ<sup>2</sup><sub>(2)</sub> = 5.85, <i>p</i> = .054), <i>XRCC3 Thr241Met</i> (χ<sup>2</sup><sub>(1)</sub> = 0.71, <i>p</i> = .339), <i>PRKDC</i> (<i>XRCC7</i> G/T) (χ<sup>2</sup><sub>(2)</sub> = 3.72, <i>p</i> = .156), whereas significant difference was observed at <i>NEIL1 G/T</i> (χ<sup>2</sup><sub>(2)</sub> =8.71, <i>p</i> = .013) and <i>LIG1</i> A/C (χ<sup>2</sup><sub>(2)</sub> = 7.66, <i>p</i> = .022). The odds of heterozygote to homozygote genotypes in HLNRA relative to NLNRA at <i>XRCC1</i> Arg399Gln (OR = 1.96, 95% CI: 1.13–3.40), <i>XRCC3</i> Thr241Met (OR = 0.73, 95% CI: 0.41–1.31), <i>PRKDC (XRCC7 G/T),</i> (OR = 0.81; 95% CI: 0.48–1.38), <i>NEIL1 G/T</i> (OR = 0.54; 95% CI: 0.31–0.96) and <i>LIG1 A/C</i> (OR = 1.62; 95% CI: 0.97–2.69) was also not significantly different in HLNRA vs NLNRA, except at <i>XRCC1</i> and <i>NEIL1.</i> <b>Conclusion:</b> The genotype frequencies at three of these SNPs i.e. <i>XRCC1 Arg399Gln, XRCC3 Thr241Met</i> and <i>PRKDC</i> (<i>XRCC7 G/T</i>) were similar, whereas <i>NEIL1 G/T</i> and <i>LIG1 A/C</i> showed significant difference between HLNRA and NLNRA population. However, further research using more number of SNPs in a larger cohort is required in this study area.
DOI: 10.6084/m9.figshare.11956350
title: Dromar sequences.

description: All Drosophila mariner (Dromar) sequences in Wallau et al., (2014) except the Dromars which can not be extracted from the Drosophila genome and the location data were in fasta files.
DOI: 10.6084/m9.figshare.11956356
title: Global marine sedimentary carbon stock

description: Global maps of marine sedimentary carbon stocks at a 1-km resolution. Maps include average carbon stocks, upper and lower bounds, and range of uncertainty. Carbon stocks are standardized to a 1 meter depth. Carbon stocks are presented as Mg km-2. Maps were produced using Random Forest Regressions. In addition to global carbon maps, we provide the R code for calculating uncertainty in carbon stocks. <br><br>
DOI: 10.6084/m9.figshare.11956422.v2
title: Evaluation of the influence of chronic low-dose radiation on DNA repair gene polymorphisms [<i>XRCC1</i>, <i>XRCC3, PRKDC (XRCC7), LIG1</i>, <i>NEIL1</i>] in individuals from normal and high level natural radiation areas of Kerala Coast

description: <b>Background:</b> Single Nucleotide Polymorphisms (SNPs) at DNA repair genes are considered as potential biomarkers of radio-sensitivity. The coastal belt of Kerala in south west India has a patchy distribution of monazite in its beach sand that contains Th-232 and its decay products. Thus, radiation levels in this area vary from &lt;1.0mGy to 45.0mGy/year. The areas with external gamma radiation dose &gt;1.5mGy/year are considered as High-Level Natural Radiation Areas (HLNRA) and ≤ 1.5mGy/year are Normal Level Natural Radiation Area (NLNRA). <b>Objective:</b> In the present study, an attempt was made to evaluate the influence of chronic low dose radiation exposure on DNA repair gene polymorphisms in NLNRA and HLNRA population of Kerala coast. <b>Materials and methods:</b> Genomic DNA was isolated from venous blood samples of 246 random, healthy individuals (NLNRA, <i>N</i> = 104; HLNRA, <i>N</i> = 142) and genotyping of five SNPs such as X-ray repair cross complementing 1(<i>XRCC1 Arg399Gln</i>), X-ray repair cross complementing 3 (<i>XRCC3 Thr241Met</i>], Protein kinase, DNA-activated, catalytic subunit (<i>PRKDC</i>) (X-ray repair cross-complementing group 7, <i>XRCC7 G/T</i>), nei like DNA glycosylase 1 (<i>NEIL1 G/T</i>) and DNA ligase 1 (<i>LIG1 A/C</i>) was carried out using PCR based restriction fragment length polymorphism (PCR-RFLP) followed by silver staining. <b>Results:</b> Our results showed no significant difference in genotype frequencies in HLNRA vs NLNRA at three of the five SNPs studied i.e. <i>XRCC1 Arg399Gln</i> (χ<sup>2</sup><sub>(2)</sub> = 5.85, <i>p</i> = .054), <i>XRCC3 Thr241Met</i> (χ<sup>2</sup><sub>(1)</sub> = 0.71, <i>p</i> = .339), <i>PRKDC</i> (<i>XRCC7</i> G/T) (χ<sup>2</sup><sub>(2)</sub> = 3.72, <i>p</i> = .156), whereas significant difference was observed at <i>NEIL1 G/T</i> (χ<sup>2</sup><sub>(2)</sub> =8.71, <i>p</i> = .013) and <i>LIG1</i> A/C (χ<sup>2</sup><sub>(2)</sub> = 7.66, <i>p</i> = .022). The odds of heterozygote to homozygote genotypes in HLNRA relative to NLNRA at <i>XRCC1</i> Arg399Gln (OR = 1.96, 95% CI: 1.13–3.40), <i>XRCC3</i> Thr241Met (OR = 0.73, 95% CI: 0.41–1.31), <i>PRKDC (XRCC7 G/T),</i> (OR = 0.81; 95% CI: 0.48–1.38), <i>NEIL1 G/T</i> (OR = 0.54; 95% CI: 0.31–0.96) and <i>LIG1 A/C</i> (OR = 1.62; 95% CI: 0.97–2.69) was also not significantly different in HLNRA vs NLNRA, except at <i>XRCC1</i> and <i>NEIL1.</i> <b>Conclusion:</b> The genotype frequencies at three of these SNPs i.e. <i>XRCC1 Arg399Gln, XRCC3 Thr241Met</i> and <i>PRKDC</i> (<i>XRCC7 G/T</i>) were similar, whereas <i>NEIL1 G/T</i> and <i>LIG1 A/C</i> showed significant difference between HLNRA and NLNRA population. However, further research using more number of SNPs in a larger cohort is required in this study area.
DOI: 10.6084/m9.figshare.11956350.v1
title: Dromar sequences.

description: All Drosophila mariner (Dromar) sequences in Wallau et al., (2014) except the Dromars which can not be extracted from the Drosophila genome and the location data were in fasta files.
DOI: 10.6084/m9.figshare.11956422.v1
title: Evaluation of the influence of chronic low-dose radiation on DNA repair gene polymorphisms [<i>XRCC1</i>, <i>XRCC3, PRKDC (XRCC7), LIG1</i>, <i>NEIL1]</i> in individuals from normal and high level natural radiation areas of Kerala coast

description: <b>Background:</b> Single Nucleotide Polymorphisms (SNPs) at DNA repair genes are considered as potential biomarkers of radio-sensitivity. The coastal belt of Kerala in south west India has a patchy distribution of monazite in its beach sand that contains Th-232 and its decay products. Thus, radiation levels in this area vary from &lt;1.0mGy to 45.0mGy/year. The areas with external gamma radiation dose &gt;1.5mGy/year are considered as High-Level Natural Radiation Areas (HLNRA) and ≤1.5mGy/year are Normal Level Natural Radiation Area (NLNRA). <b>Objective:</b> In the present study, an attempt was made to evaluate the influence of chronic low dose radiation exposure on DNA repair gene polymorphisms in NLNRA and HLNRA population of Kerala coast. <b>Materials and Methods:</b> Genomic DNA was isolated from venous blood samples of 246 random, healthy individuals (NLNRA, N = 104; HLNRA, N = 142) and genotyping of five SNPs such as X-ray repair cross complementing 1(<i>XRCC1 Arg399Gln),</i> X-ray repair cross complementing 3 (<i>XRCC3 Thr241Met</i>], Protein kinase, DNA-activated, catalytic subunit (<i>PRKDC)</i> (X-ray repair cross-complementing group 7, <i>XRCC7 G/T),</i> nei like DNA glycosylase 1 (<i>NEIL1 G/T)</i> and DNA ligase 1 (<i>LIG1 A/C)</i> was carried out using PCR based restriction fragment length polymorphism (PCR-RFLP) followed by silver staining. <b>Results:</b> Our results showed no significant difference in genotype frequencies in HLNRA vs NLNRA at three of the five SNPs studied i.e. <i>XRCC1 Arg399Gln</i> (χ<sup>2</sup><sub>(2)</sub> = 5.85, P = 0.054), <i>XRCC3 Thr241Met</i> (χ<sup>2</sup><sub>(1)</sub> =0.71, P = 0.339), <i>PRKDC</i> (<i>XRCC7</i> G/T) (χ<sup>2</sup><sub>(2)</sub> = 3.72, P = 0.156), whereas significant difference was observed at <i>NEIL1 G/T</i> (χ<sup>2</sup><sub>(2)</sub> =8.71, P= 0.013) and <i>LIG1</i> A/C (χ<sup>2</sup><sub>(2)</sub> = 7.66, P = 0.022). The odds of heterozygote to homozygote genotypes in HLNRA relative to NLNRA at <i>XRCC1</i> Arg399Gln (OR =1.96, 95% CI: 1.13-3.40), <i>XRCC3</i> Thr241Met (OR =0.73, 95% CI: 0.41-1.31), <i>PRKDC (XRCC7 G/T),</i> (OR =0.81; 95% CI: 0.48-1.38), <i>NEIL1 G/T</i> (OR =0.54; 95% CI: 0.31-0.96) and <i>LIG1 A/C</i> (OR =1.62; 95% CI: 0.97-2.69) was also not significantly different in HLNRA vs NLNRA, except at <i>XRCC1</i> and <i>NEIL1.</i> <b>Conclusion:</b> The genotype frequencies at three of these SNPs i.e., <i>XRCC1 Arg399Gln, XRCC3 Thr241Met</i> and <i>PRKDC</i> (<i>XRCC7 G/T</i>) were similar, whereas <i>NEIL1 G/T</i> and <i>LIG1 A/C</i> showed significant difference between HLNRA and NLNRA population. However, further research using more number of SNPs in a larger cohort is required in this study area.
DOI: 10.6084/m9.figshare.11956332
title: BSI in paired channels.xlsx

description: The BSI in paied channels before and immediately after rTMS<br>
DOI: 10.6084/m9.figshare.11956344
title: Source data_Blume-Werry et al._Invasive earthworms unlock arctic plant nitrogen limitation.xlsx

description: Source data for publication, see publication for full methods.
DOI: 10.6084/m9.figshare.11956344.v1
title: Source data_Blume-Werry et al._Invasive earthworms unlock arctic plant nitrogen limitation.xlsx

description: Source data for publication, see publication for full methods.
DOI: 10.6084/m9.figshare.11956227
title: Bacteria community from Drosophila melanogaster larvae and their environment, in 3 larval density conditions

description: Pair end reads of 16S Illumina sequencing for larvae samples and lab food samples from 3 larval density rearing conditions.LD, MD, and HD refers to low, medium and high density condions samples of L3 larvae. "f" of LDf, MDf and HDf refers to food samples. Numbers 1 to 6 are replicates of the same sample x density.Complete methods are in the README file<br>
DOI: 10.6084/m9.figshare.11956239
title: Daily meteorological data from the Radcliffe Observatory (now Radcliffe Meteorological Station), from January 1815: updated to January 2020

description: Daily dataset of temperature, rainfall and sunshine records from the Radcliffe Observatory site in Oxford, England. Variable commencement date of record by element - daily air temperatures from 1815, rainfall from 1828 and sunshine from 1921. Daily data have not yet been fully digitised for some elements (sunshine records, for example, began in Feb 1880 but have only been digitised back to Jan 1921 at present).<br>Brief documentation is available in a short README txt file in this location.<br>Data updated to JANUARY 2020; it is intended to be updated annually.<br>If you use these datasets in publications, please cite the source as:<br>Oxford Weather and Climate since 1767 by Stephen Burt and Tim Burt, published by Oxford University Press, 2019.<br>Please let us know &lt; email to rms@ouce.ox.ac.uk &gt; should you find any errors in these datasets.
DOI: 10.6084/m9.figshare.11956095
title: Phenotype of fruit flies reared under 3 density conditions

description: see README for methods
DOI: 10.6084/m9.figshare.11956095.v1
title: Phenotype of fruit flies reared under 3 density conditions

description: see README for methods
DOI: 10.6084/m9.figshare.11956035
title: Genomic assessment of suitability of pigs for inclusion in the Pied Danish Pig conservation program – A case study

description: Breed assignment was performed for pigs putatively belonging to Pied Danish Pigs, an endangered Danish conservation breed. DNA array data were available for the candidates who had insufficient pedigree information. So were data for a reference population of animals from Danish conservation breeds as well as data from a range of Northern European pig breeds, and wild boar. Breed proportions were estimated using the program ADMIXTURE. Half the candidates were found to have at least 95% of their ancestry from Pied Danish Pigs. Several candidates showed varying degrees of admixture with other breeds, most notably Gloucester Old Spot. The same was observed for several of the Pied Danish Pig reference animals. The analyzes identified suitable breeding candidates and prevented unwanted recent admixture from spreading in the breeding population.