cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.943482.v1
title: Data of calcium content, digestibility and bioaccessibility of Moringa oleifera, spinach and sweet potato leaves

description: Calcium content digestibility and bioaccessibility Data of three experiments are reported. Sample identifiers: S1=spinach; S.P. 2= Sweet potato leaf; M3 = Moringa from India; M4 = Moringa from Karonga, Malawi; M5 = Moringa from Lillongwe, Malawi (the last digit refers to replicate within experiment). The leaf number indicates the numerical value corresponding to the sample identifier in column B. Plant total calcium: the percentage of calcium measured in the dry plant tissue by atomic absorption. Initial inside (ml): volume inserted into dialysis tubing. Intial outside (ml): volume outside dialysis tubing. Initial Ca A.A (ppm): calcium concentration inside dialysis tubing. Initial Ca (mg): quantity of calcium initially in the dialysis tubing (G x E, corrected for the volume removed for measurement). Total Volume (ml): Total volume of the system that is accessible to the bioaccessible calcium. Final Ca overall: mg of Ca inhabiting the entire accessible volume, calculated in experiment 1 as Ca concentration outside the dialysis tubing times the accessible volume, and in experiments 2 and 3 as the difference between initial and final content of calcium inside the dialysis tubing times the accessible volume. Ca dialyzed: percentage of plant total calcium introduced to the dialysis tubing (digestible Ca) that was recovered in the accessible volume at the end of the experiment. Ca digested: digestible calcium calculated as the percentage of the plant total calcium found in the filtrate fluid after enzymatic digestion of the plant material. Ca dialyzed of dry matter Ca: bioaccessible calcium. The percentage of the plant total calcium that is bioaccessible is calculated as the product of the percentage of Ca dialyzed x the percentage of Ca digested, divided by 100.
DOI: 10.6084/m9.figshare.943512.v4
title: From iconic handshapes to grammatical contrasts: Video examples for Coppola & Brentari Frontiers article

description: These are video examples referenced in the article. The first two demonstrate the structural difference between two sentences of American Sign Language that differ only in one handshape (see Figure 1). The remaining three videos are complete responses to carefully controlled nonverbal stimuli produced by a child homesigner who has not acquired a conventional language (see Figure 6).
DOI: 10.6084/m9.figshare.943471
title: Data set for " Party papers or policy discussions: an examination of highly shared papers using altmetric data"

description: This is the dataset used for the paper published in Research Trends on February 24, 2014. Data was harvested from Altmetric.com under research terms. The methodology is detailed in the paper linked.
DOI: 10.6084/m9.figshare.943453
title: Continuous recording of soil mite behaviour using an Internet Protocol video system

description: Behavioural studies on tiny animals require methods that are relatively inexpensive, can be easily monitored and provide high-quality data. Recently, digital tools such as Internet Protocol (IP) cameras and video surveillance systems have become less expensive, creating new possibilities for behavioural studies. The best system of observation from the researcher’s point of view works continuously without human assistance and records behavioural data for further multiple analyses. Here we describe the system used for studies on mesostigmatid soil mites in Department of Zoology, Kazimierz Wielki University in Bydgoszcz.
DOI: 10.6084/m9.figshare.943471.v1
title: Data set for " Party papers or policy discussions: an examination of highly shared papers using altmetric data"

description: This is the dataset used for the paper published in Research Trends on February 24, 2014. Data was harvested from Altmetric.com under research terms. The methodology is detailed in the paper linked.
DOI: 10.6084/m9.figshare.943512.v5
title: From iconic handshapes to grammatical contrasts: Video examples for Coppola & Brentari Frontiers article

description: These are video examples referenced in the article. The first two demonstrate the structural difference between two sentences of American Sign Language that differ only in one handshape (see Figure 1). The remaining three videos are complete responses to carefully controlled nonverbal stimuli produced by a child homesigner who has not acquired a conventional language (see Figure 6).
DOI: 10.6084/m9.figshare.943453.v1
title: Continuous recording of soil mite behaviour using an Internet Protocol video system

description: Behavioural studies on tiny animals require methods that are relatively inexpensive, can be easily monitored and provide high-quality data. Recently, digital tools such as Internet Protocol (IP) cameras and video surveillance systems have become less expensive, creating new possibilities for behavioural studies. The best system of observation from the researcher’s point of view works continuously without human assistance and records behavioural data for further multiple analyses. Here we describe the system used for studies on mesostigmatid soil mites in Department of Zoology, Kazimierz Wielki University in Bydgoszcz.
DOI: 10.6084/m9.figshare.943512.v6
title: From iconic handshapes to grammatical contrasts: Video examples for Coppola & Brentari Frontiers article

description: These are video examples referenced in the article. The first two demonstrate the structural difference between two sentences of American Sign Language that differ only in one handshape (see Figure 1). The remaining three videos are complete responses to carefully controlled nonverbal stimuli produced by a child homesigner who has not acquired a conventional language (see Figure 6).
DOI: 10.6084/m9.figshare.943429
title: Gaussian Job Archive for C21H23N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.943512.v7
title: From iconic handshapes to grammatical contrasts: Video examples for Coppola & Brentari Frontiers article

description: These are video examples referenced in the article. The first two demonstrate the structural difference between two sentences of American Sign Language that differ only in one handshape (see Figure 1). The remaining three videos are complete responses to carefully controlled nonverbal stimuli produced by a child homesigner who has not acquired a conventional language (see Figure 6).
DOI: 10.6084/m9.figshare.943429.v1
title: Gaussian Job Archive for C21H23N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.943428
title: Figure 3. Contigs associated by Hi-C reads.

description: A graph is drawn with nodes depicting contigs and edges depicting associations between contigs as indicated by aligned Hi-C read pairs, with the count thereof depicted by the weight of edges. Nodes are colored to reflect the species to which they belong (see legend) with node size reflecting contig size. Contigs below 5kb and edges with weights less than 5 were excluded. Contig associations were normalized for variation in contig size.
DOI: 10.6084/m9.figshare.943512.v9
title: From iconic handshapes to grammatical contrasts: Video examples for Coppola & Brentari Frontiers article

description: These are video examples referenced in the article. The first two demonstrate the structural difference between two sentences of American Sign Language that differ only in one handshape (see Figure 1). The remaining three videos are complete responses to carefully controlled nonverbal stimuli produced by a child homesigner who has not acquired a conventional language (see Figure 6).
DOI: 10.6084/m9.figshare.943512.v8
title: From iconic handshapes to grammatical contrasts: Video examples for Coppola & Brentari Frontiers article

description: These are video examples referenced in the article. The first two demonstrate the structural difference between two sentences of American Sign Language that differ only in one handshape (see Figure 1). The remaining three videos are complete responses to carefully controlled nonverbal stimuli produced by a child homesigner who has not acquired a conventional language (see Figure 6).
DOI: 10.6084/m9.figshare.942517
title: Data Sharing for GISR

description: This fileset contains three files describing data sharing and integration methods used to build the GISR Deep Water Horizon database, which contains oceanographic and hydrocarbon data. The readme file explains the contents of the other two files. These files correspond to a paper that is about to be submitted to PLoS ONE.
DOI: 10.6084/m9.figshare.942518
title: Source code for simulation model

description: Source code for a simulation modelo of transmission of information via trophallaxis in an insect colony structured socially and in space in age groups performing different set of behaviors (or tasks).
DOI: 10.6084/m9.figshare.942516
title: Table of Hydrocarbon Terms

description: This data file is a table of hydrocarbon and some oceanographic terms used for term normalization in a database of aggregated data sets. The readme file in the same fileset describes the contents
DOI: 10.6084/m9.figshare.942516.v1
title: Table of Hydrocarbon Terms

description: This data file is a table of hydrocarbon and some oceanographic terms used for term normalization in a database of aggregated data sets. The readme file in the same fileset describes the contents
DOI: 10.6084/m9.figshare.942517.v1
title: Data Sharing for GISR

description: This fileset contains three files describing data sharing and integration methods used to build the GISR Deep Water Horizon database, which contains oceanographic and hydrocarbon data. The readme file explains the contents of the other two files. These files correspond to a paper that is about to be submitted to PLoS ONE.
DOI: 10.6084/m9.figshare.942515
title: ReadMe

description: This file describes the content of the information in reconciliation_table.txt and Sharing Data File.txt
DOI: 10.6084/m9.figshare.942514
title: Data Sharing Statistics

description: This file contains the data sharing statistics for the completion of the GISR database. The readMe file in the same fileset describes the content. The accompanying paper is about to be submitted to Computers & Geosciences.
DOI: 10.6084/m9.figshare.942511
title: gene.annot.tsv

description: Ensembl release 67 gene annotation processed by upstream pipeline
DOI: 10.6084/m9.figshare.942513
title: Additional supplementary data for the paper “Developmental stability of the mRNA–tRNA interface”

description: This is the intermediate data produced by the upstream RNA and ChIP sequencing pipelines, as well as meta information (gene annotations and sequence information) manually downloaded, all of which is required by the downstream analysis pipeline that is distributed with the paper. Please refer to the readme file found with the code for further information.
DOI: 10.6084/m9.figshare.942514.v1
title: Data Sharing Statistics

description: This file contains the data sharing statistics for the completion of the GISR database. The readMe file in the same fileset describes the content. The accompanying paper is about to be submitted to Computers & Geosciences.
DOI: 10.6084/m9.figshare.942518.v1
title: Source code for simulation model

description: Source code for a simulation modelo of transmission of information via trophallaxis in an insect colony structured socially and in space in age groups performing different set of behaviors (or tasks).
DOI: 10.6084/m9.figshare.942511.v1
title: gene.annot.tsv

description: Ensembl release 67 gene annotation processed by upstream pipeline
DOI: 10.6084/m9.figshare.942515.v2
title: ReadMe

description: This file describes the content of the information in reconciliation_table.txt and Sharing Data File.txt
DOI: 10.6084/m9.figshare.942518.v3
title: Source code for simulation model

description: Source code for a simulation modelo of transmission of information via trophallaxis in an insect colony structured socially and in space in age groups performing different set of behaviors (or tasks).
DOI: 10.6084/m9.figshare.942518.v2
title: Source code for simulation model

description: Source code for a simulation modelo of transmission of information via trophallaxis in an insect colony structured socially and in space in age groups performing different set of behaviors (or tasks).
DOI: 10.6084/m9.figshare.942515.v1
title: ReadMe

description: This file describes the content of the information in reconciliation_table.txt and Sharing Data File.txt
DOI: 10.6084/m9.figshare.942513.v2
title: Additional supplementary data for the paper “Developmental stability of the mRNA–tRNA interface”

description: This is the intermediate data produced by the upstream RNA and ChIP sequencing pipelines, as well as meta information (gene annotations and sequence information) manually downloaded, all of which is required by the downstream analysis pipeline that is distributed with the paper. Please refer to the readme file found with the code for further information.
DOI: 10.6084/m9.figshare.942504
title: genes.raw.htseq2.tsv

description: Raw protein-coding gene counts for all mRNA-seq libraries
DOI: 10.6084/m9.figshare.942502
title: tRNA.tsv

description: tRNA gene annotation
DOI: 10.6084/m9.figshare.942503
title: trna-upstream-with-ids.fasta

description: Sequence of upstream regions of annotated tRNA genes
DOI: 10.6084/m9.figshare.942502.v1
title: tRNA.tsv

description: tRNA gene annotation
DOI: 10.6084/m9.figshare.942503.v1
title: trna-upstream-with-ids.fasta

description: Sequence of upstream regions of annotated tRNA genes
DOI: 10.6084/m9.figshare.942501
title: trna-merged.tsv

description: tRNA gene expression counts for all Pol-III ChIP-seq libraries
DOI: 10.6084/m9.figshare.942504.v1
title: genes.raw.htseq2.tsv

description: Raw protein-coding gene counts for all mRNA-seq libraries
DOI: 10.6084/m9.figshare.942498
title: chip-sample-map.tsv

description: Information about the ChIP-seq libraries required by the downstream pipeline
DOI: 10.6084/m9.figshare.942499
title: genetic_code.tsv

description: The genetic code
DOI: 10.6084/m9.figshare.942499.v1
title: genetic_code.tsv

description: The genetic code
DOI: 10.6084/m9.figshare.942500
title: rna-seq-summary.tsv

description: RNA-seq sequencing library information required by downstream analysis
DOI: 10.6084/m9.figshare.942497
title: amino_acids.tsv

description: Mapping between three-letter and one-letter abbreviations of amino acid names
DOI: 10.6084/m9.figshare.942501.v1
title: trna-merged.tsv

description: tRNA gene expression counts for all Pol-III ChIP-seq libraries
DOI: 10.6084/m9.figshare.942497.v1
title: amino_acids.tsv

description: Mapping between three-letter and one-letter abbreviations of amino acid names
DOI: 10.6084/m9.figshare.942498.v1
title: chip-sample-map.tsv

description: Information about the ChIP-seq libraries required by the downstream pipeline
DOI: 10.6084/m9.figshare.942500.v1
title: rna-seq-summary.tsv

description: RNA-seq sequencing library information required by downstream analysis
DOI: 10.6084/m9.figshare.942420
title: Mouse Whole Brain Interactome (Human Entrez)

description: Interactome was reverse engineered with ARACNe from a mouse whole brain expression dataset (437 samples, GSE10415). ARACNe was run with 100 bootstrap iterations using all probes that mapped to a set of 1,507 mouse transcriptional regulators (defined as genes annotated in the Gene Ontology Molecular Function database as GO:0003700 - ‘transcription factor activity’) for the human dataset. Parameters were set to 0 DPI tolerance and a MI P value threshold (P&lt;10-7), as recommended for bootstrap ARACNe analysis of a dataset with this size, to achieve a Bonferroni corrected significance (P = 0.05) for getting a single false-positive in the dataset.ractome was reverse engineered with ARACNe from a mouse whole brain expression dataset (437 samples, GSE10415). ARACNe was run with 100 bootstrap iterations using all probes that mapped to a set of 1,507 mouse transcriptional regulators (defined as genes annotated in the Gene Ontology Molecular Function database as GO:0003700 - ‘transcription factor activity’) for the human dataset. Parameters were set to 0 DPI tolerance and a MI P value threshold (P&lt;10-7), as recommended for bootstrap ARACNe analysis of a dataset with this size, to achieve a Bonferroni corrected significance (P = 0.05) for getting a single false-positive in the dataset.was reverse engineered with ARACNe from a mouse whole brain expression dataset (437 samples, GSE10415). ARACNe was run with 100 bootstrap iterations using all probes that mapped to a set of 1,507 mouse transcriptional regulators (defined as genes annotated in the Gene Ontology Molecular Function database as GO:0003700 - ‘transcription factor activity’) for the human dataset. Parameters were set to 0 DPI tolerance and a MI P value threshold (P&lt;10-7), as recommended for bootstrap ARACNe analysis of a dataset with this size, to achieve a Bonferroni corrected significance (P = 0.05) for getting a single false-positive in the dataset. Converted into homologous Human Entrez ids.
DOI: 10.6084/m9.figshare.942420.v1
title: Mouse Whole Brain Interactome (Human Entrez)

description: Interactome was reverse engineered with ARACNe from a mouse whole brain expression dataset (437 samples, GSE10415). ARACNe was run with 100 bootstrap iterations using all probes that mapped to a set of 1,507 mouse transcriptional regulators (defined as genes annotated in the Gene Ontology Molecular Function database as GO:0003700 - ‘transcription factor activity’) for the human dataset. Parameters were set to 0 DPI tolerance and a MI P value threshold (P&lt;10-7), as recommended for bootstrap ARACNe analysis of a dataset with this size, to achieve a Bonferroni corrected significance (P = 0.05) for getting a single false-positive in the dataset.ractome was reverse engineered with ARACNe from a mouse whole brain expression dataset (437 samples, GSE10415). ARACNe was run with 100 bootstrap iterations using all probes that mapped to a set of 1,507 mouse transcriptional regulators (defined as genes annotated in the Gene Ontology Molecular Function database as GO:0003700 - ‘transcription factor activity’) for the human dataset. Parameters were set to 0 DPI tolerance and a MI P value threshold (P&lt;10-7), as recommended for bootstrap ARACNe analysis of a dataset with this size, to achieve a Bonferroni corrected significance (P = 0.05) for getting a single false-positive in the dataset.was reverse engineered with ARACNe from a mouse whole brain expression dataset (437 samples, GSE10415). ARACNe was run with 100 bootstrap iterations using all probes that mapped to a set of 1,507 mouse transcriptional regulators (defined as genes annotated in the Gene Ontology Molecular Function database as GO:0003700 - ‘transcription factor activity’) for the human dataset. Parameters were set to 0 DPI tolerance and a MI P value threshold (P&lt;10-7), as recommended for bootstrap ARACNe analysis of a dataset with this size, to achieve a Bonferroni corrected significance (P = 0.05) for getting a single false-positive in the dataset. Converted into homologous Human Entrez ids.
DOI: 10.6084/m9.figshare.942399
title: Gaussian Job Archive for C42H46N6O6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.942398
title: Gaussian Job Archive for C42H46N6O6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.942396
title: Gaussian Job Archive for C21H23N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.942397
title: Gaussian Job Archive for C21H23N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.942398.v1
title: Gaussian Job Archive for C42H46N6O6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.942399.v1
title: Gaussian Job Archive for C42H46N6O6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.942395
title: Gaussian Job Archive for C21H23N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.942397.v1
title: Gaussian Job Archive for C21H23N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.942395.v1
title: Gaussian Job Archive for C21H23N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.942396.v1
title: Gaussian Job Archive for C21H23N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.942390
title: Bioclimate of Italy: application of the worldwide bioclimatic classification system

description: The worldwide bioclimatic classification system (WBCS) of Rivas-Martínez was applied to the Italian territory and surrounding areas between latitudes 35°47′–46°60′ N and longitudes 5°92′–21°39′ E. The ‘WorldClim’ precipitation and temperature dataset was used as the source data. Application of the WBCS in a geographic information system allowed the production of macrobioclimates, bioclimates, ombrotypes, continentality, compensated thermicity index and ombro-evaporal index maps at a scale of 1:5,500,000, and a map of thermotypes at a scale of 1:2,250,000. Moreover, the isobioclimates of Italy are identified and quantified in terms of areas. These maps are available here as raster datasets (1 km spatial resolution) and are useful for: (i) rapid bioclimatic diagnosis of the Italian territories; and (ii) vegetation–environment relationship modeling at the national scale.
DOI: 10.6084/m9.figshare.942383
title: Data Experiment 2

description: IVs are Distractor Face (Friend, Self, Unfamiliar), Target Name (Friend, Self, Unfamiliar) and Visual Field Presentation (Bilateral, LVF, RVF). All IVs are repeated-measures. The DV is reaction time (RT) for correct responses, measured in ms. Incorrect responses accounted for 10.6% of the data, and were removed prior to analysis (i.e. data presented here are for correct responses). For each participant, RT’s more than two standard deviations away from that participant’s mean were removed as outliers; these accounted for 14.2% of trials. Data presented here do not include these trials. Variables are labelled as follows: Distractor Face F = Friend S = Self U = Unfamiliar Target Name F = Friend S = Self U = Unfamiliar Visual Field Presentation B = Bilateral L = LVF R = RVF For example, the variable labelled “FSL” contains the average reaction time to respond a name when the Distractor Face presented was of a Friend, the Target Name to be responded to was the participant’s own name and the distractor image was displayed in the LVF.