cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1061976.v1
title: Examples - Efficient generic integration algorithm to determine confidence intervals and p-values for hypothesis testing

description: Examples of generic code to determine confidence intervals and p-values. The two examples are: - mcmc4 ... normal distribution - mcmc6 ... negative binomial distribution Both examples consist of the R knitr code .Rmd, the stan model .model and output .html. The examples are described in Efficient generic integration algorithm to determine confidence intervals and p-values for hypothesis testing. Christian Bartels. figshare. http://dx.doi.org/10.6084/m9.figshare.1054694
DOI: 10.6084/m9.figshare.1061950
title: altmetrics - DIY

description: easy diy for altmetrics
DOI: 10.6084/m9.figshare.1061950.v1
title: altmetrics - DIY

description: easy diy for altmetrics
DOI: 10.6084/m9.figshare.1061946
title: Simulated data from Kelly et al. 2011, A signal-to-noise index to quantify the potential for peak detection in sediment-charcoal records, Quaternary Reserach, 75: 11-17.

description: Simulated charcoal time series used in: Kelly, R. F., Higuera, P. E., Barrett, C. M. & Hu, F. S. (2011) A signal-to-noise index to quantify the potential for peak detection in sediment-charcoal records. Quaternary Research, 75, 11-17. Each .csv file contains "summary data" that describes the parameters used in the <em>CharAnalysis</em> program for threshold determination. Row 16 includes column headings for CharAnalysis input, as follows: age -- [yr BP] age of simulated record cm -- [cm] depth of simulated record count -- [#] charcoal count (not discrete) vol -- [cm3] volume of sample acc -- [# cm^-2 yr^-1] Charcoal accumulation rate bkg -- [# cm^-2 yr^-1] Background charcoal rsd -- [# cm^-2 yr^-1] Residual charcoal thr -- [# cm^-2 yr^-1] Threshold separating peaks from non-peak values pkBool -- [binary] Peaks (1) or non-peak values (0) pkMCP -- [binary] Equals 1 if a "peak" value was screened out by the minimum count test. That is, the sample surpassed the threshold, but the count was low enough to not pass the minimum count test. (These values should almost always be 0) sni -- [index] Signal-to-noise index sniSm -- [index] Smoothd SNI Detials from Kelly et al. (2011): "Simulated records were generated using the CharSim model (Higuera et al., 2007), which simulates a spatially and temporally explicit fire regime, charcoal production and dispersal processes, primary (airborne) and secondary (slope wash and withinlake redeposition) deposition, sediment mixing, and sediment sampling. The <strong>CS1</strong> scenario is based on model parameters representing boreal-forest charcoal records, with high temporal resolution (15-yr contiguous samples) and little vertical mixing in sediments. The <strong>CS2</strong> scenario differs from CS1 only in that additional sediment mixing is simulated (vertical mixing depth doubled from 1.0 to 2.0 cm), as might be observed in shallower lakes. In both CS1 and CS2 scenarios, fire sizes mimic those observed in Alaska from 1988 to 2003 (Alaska Fire Service, 2004). By contrast, the <strong>CS3</strong> scenario is based on fires of constant size, equal to the mean fire size of the same dataset. This scenario creates a charcoal series with a relatively uniform distribution of CHAR values, and illustrates a record in which peaks from local fires are difficult to detect due to processes independent of charcoal taphonomy."
DOI: 10.6084/m9.figshare.12196149
title: Phylogenomics and contrasting modes of genome evolution in Ascomycota

description: This repository contains multiple sequence alignments, phylogenetic trees, trait ancestral character state reconstructions, log files, R codes, and the custom Perl scripts used in this study. Each folder corresponds to each topic in our study. Genome assemblies and proteomes (a total size is about 13 Gb) are available in a separate Zenodo repository: https://doi.org/10.5281/zenodo.3783970 Please let me know if you have any question about them. Email: xingxingshen@zju.edu.cn; shenxingxing2010@gmail.com<br>
DOI: 10.6084/m9.figshare.12921917.v1
title: tec00134_PC_TOT_CP09

description: Final household consumption on recreation and culture % of total
DOI: 10.6084/m9.figshare.12921917
title: tec00134_PC_TOT_CP09

description: Final household consumption on recreation and culture % of total
DOI: 10.6084/m9.figshare.1061916
title: LUAD samples somatic mutation data

description: TCGA LUAD samples somatic mutation data in BED format.
DOI: 10.6084/m9.figshare.1061917
title: TCGA Iso-kTSP analysis dataset

description: Supplementary data for the preprint: Sebestyén E, Zawisza M, Eyras E. 2014. Recurrent alternative splicing isoform switches in tumor samples provide novel signatures of cancer. bioRxiv <strong>http://dx.doi.org/10.1101/006908</strong> The data presented here are based upon data generated by the TCGA Research Network: <strong>http://cancergenome.nih.gov</strong>
DOI: 10.6084/m9.figshare.1061915
title: PRAD samples somatic mutation data

description: TCGA PRAD samples somatic mutation data in BED format.
DOI: 10.6084/m9.figshare.1061914
title: THCA samples somatic mutation data

description: TCGA THCA samples somatic mutation data in BED format.
DOI: 10.6084/m9.figshare.1061915.v1
title: PRAD samples somatic mutation data

description: TCGA PRAD samples somatic mutation data in BED format.
DOI: 10.6084/m9.figshare.1061916.v1
title: LUAD samples somatic mutation data

description: TCGA LUAD samples somatic mutation data in BED format.
DOI: 10.6084/m9.figshare.1061913
title: KIRC samples somatic mutation data

description: TCGA KIRC samples somatic mutation data in BED format.
DOI: 10.6084/m9.figshare.1061912
title: LUSC samples somatic mutation data

description: TCGA LUSC samples somatic mutation data in BED format.
DOI: 10.6084/m9.figshare.1061911
title: KICH samples somatic mutation data

description: TCGA KICH samples somatic mutation data in BED format.
DOI: 10.6084/m9.figshare.1061912.v1
title: LUSC samples somatic mutation data

description: TCGA LUSC samples somatic mutation data in BED format.
DOI: 10.6084/m9.figshare.1061913.v1
title: KIRC samples somatic mutation data

description: TCGA KIRC samples somatic mutation data in BED format.
DOI: 10.6084/m9.figshare.1061910
title: COAD samples somatic mutation data

description: TCGA COAD samples somatic mutation data in BED format.
DOI: 10.6084/m9.figshare.1061911.v1
title: KICH samples somatic mutation data

description: TCGA KICH samples somatic mutation data in BED format.
DOI: 10.6084/m9.figshare.1061909
title: HNSC samples somatic mutation data

description: TCGA HNSC samples somatic mutation data in BED format.
DOI: 10.6084/m9.figshare.1061908
title: BRCA samples somatic mutation data

description: TCGA BRCA samples somatic mutation data in BED format.
DOI: 10.6084/m9.figshare.1061909.v1
title: HNSC samples somatic mutation data

description: TCGA HNSC samples somatic mutation data in BED format.
DOI: 10.6084/m9.figshare.1061910.v1
title: COAD samples somatic mutation data

description: TCGA COAD samples somatic mutation data in BED format.
DOI: 10.6084/m9.figshare.1061905
title: THCA non-paired sample gene level read counts

description: TCGA THCA non-paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061904
title: LUSC non-paired sample gene level read counts

description: TCGA LUSC non-paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061905.v1
title: THCA non-paired sample gene level read counts

description: TCGA THCA non-paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061908.v1
title: BRCA samples somatic mutation data

description: TCGA BRCA samples somatic mutation data in BED format.
DOI: 10.6084/m9.figshare.1061902
title: KIRC non-paired sample gene level read counts

description: TCGA KIRC non-paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061903
title: PRAD non-paired sample gene level read counts

description: TCGA PRAD non-paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061904.v1
title: LUSC non-paired sample gene level read counts

description: TCGA LUSC non-paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061901
title: LUAD non-paired sample gene level read counts

description: TCGA LUAD non-paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061902.v1
title: KIRC non-paired sample gene level read counts

description: TCGA KIRC non-paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061903.v1
title: PRAD non-paired sample gene level read counts

description: TCGA PRAD non-paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061897
title: HNSC non-paired sample gene level read counts

description: TCGA HNSC non-paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061900
title: BRCA non-paired sample gene level read counts

description: TCGA BRCA non-paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061901.v1
title: LUAD non-paired sample gene level read counts

description: TCGA LUAD non-paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061893
title: COAD non-paired sample gene level read counts

description: TCGA COAD non-paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061894
title: KICH non-paired sample gene level read counts

description: TCGA KICH non-paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061897.v1
title: HNSC non-paired sample gene level read counts

description: TCGA HNSC non-paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061900.v1
title: BRCA non-paired sample gene level read counts

description: TCGA BRCA non-paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061893.v1
title: COAD non-paired sample gene level read counts

description: TCGA COAD non-paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061894.v1
title: KICH non-paired sample gene level read counts

description: TCGA KICH non-paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061513
title: PRAD paired sample gene level read counts

description: TCGA PRAD paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061516
title: THCA paired sample gene level read counts

description: TCGA THCA paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061513.v1
title: PRAD paired sample gene level read counts

description: TCGA PRAD paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061880
title: Depletion of florfenicol and florfenicol amine residues in chicken eggs

description: 1. The aim of this study was to develop a suitable method for the analysis of florfenicol (FF) and its metabolite florfenicol amine (FFA) in chicken eggs and to determine FF and FFA residue depletion in eggs of laying hens.2. The analytes were extracted from yolk, albumen and whole egg by phosphate buffer and ethyl acetate. Following purification, samples were analysed by high-performance liquid chromatography.3. Fifty laying hens were divided into 5 groups, and each hen received doses of 20 mg/kg FF: Group 1 (received a single oral dose by gavage); Group 2 (a single intramuscular dose); Group 3 (a single subcutaneous dose); Group 4 (multiple oral doses for 3 d) and Group 5 (multiple oral doses for 5 d).4. Limits of detection and of quantitation values were 1.94 and 6.45 g/10<sup>9</sup> g (ppb) for FF, respectively, and 0.48 and 1.58 ppb for FFA, respectively. Relative standard deviation values of intra-day and inter-day variation below 11% also confirmed the usefulness of the method for analysing FF and FFA in eggs.5. From the first day of both oral and parenteral administration, FF and FFA were detected at 0.1% and 0.08% of dosage, respectively, and 57% of the drugs were eliminated from the egg yolk. Elimination time of FF was 8 d in Groups 1, 2 and 3; 9 d in Group 4 and 10 d in Group 5.
DOI: 10.6084/m9.figshare.1061511
title: LUSC paired sample gene level read counts

description: TCGA LUSC paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061516.v1
title: THCA paired sample gene level read counts

description: TCGA THCA paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061510
title: LUAD paired sample gene level read counts

description: TCGA LUAD paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061511.v1
title: LUSC paired sample gene level read counts

description: TCGA LUSC paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061510.v1
title: LUAD paired sample gene level read counts

description: TCGA LUAD paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061504
title: HNSC paired sample gene level read counts

description: TCGA HNSC paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061505
title: KICH paired sample gene level read counts

description: TCGA KICH paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061508
title: KIRC paired sample gene level read counts

description: TCGA KIRC paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061504.v1
title: HNSC paired sample gene level read counts

description: TCGA HNSC paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061880.v1
title: Detection of florfenicol and florfenicol amine residues in chicken eggs

description: 1. The aim of this study was to develop a suitable method for the analysis of florfenicol (FF) and its metabolite florfenicol amine (FFA) in chicken eggs and to determine FF and FFA residue depletion in eggs of laying hens.2. The analytes were extracted from yolk, albumen, and whole egg by phosphate buffer and ethyl acetate. Following purification, samples were analysed by HPLC.3. Fifty laying hens were divided into 5 Groups and each hen received doses of 20 mg/kg FF: Group 1 (received a single oral dose by gavage); Group 2 (a single intramuscular dose); Group 3 (a single subcutaneous dose); Group 4 (multiple oral doses for 3 d); and Group 5 (multiple oral doses for 5 d).4. Limits of detection and of quantitation values were 1.94 and 6.45 g/10<sup>9</sup>g (ppb) for FF, respectively, and 0.48 and 1.58 ppb for FFA, respectively. Relative standard deviation values of intra-day and inter-day variation below 11% also confirmed the usefulness of the method for analysing FF and FFA in eggs.5. From the first day of both oral and parenteral administration, FF and FFA were detected at 0.1% and 0.08% of dosage, respectively, and 57% of the drugs were eliminated from the egg yolk. Elimination time of FF was 8 d in Groups 1, 2, and 3; 9 d in Group 4; and 10 d in Group 5.
DOI: 10.6084/m9.figshare.1061505.v1
title: KICH paired sample gene level read counts

description: TCGA KICH paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061508.v1
title: KIRC paired sample gene level read counts

description: TCGA KIRC paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061501
title: COAD paired sample gene level read counts

description: TCGA COAD paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061502
title: BRCA paired sample gene level read counts

description: TCGA BRCA paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061500
title: TCGA exon annotation in GFF format from June, 2011

description: TCGA exon and isoform annotation in GFF format from June, 2011, using the hg19 assembly, correcting for various annotation errors. and clustering transcripts the following way: 1. cluster transcripts according to genome overlap in the same strand. 2. group transcripts if they have a shared splice-site. 3. select as gene id the symbol if there is one, or use "locus_#" if they don't have gene symbol, or use two symbols if they happen to overlap and share a splice-site.
DOI: 10.6084/m9.figshare.1061501.v1
title: COAD paired sample gene level read counts

description: TCGA COAD paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061502.v1
title: BRCA paired sample gene level read counts

description: TCGA BRCA paired sample gene level read counts from Level 3 RNASeq-v2 data.
DOI: 10.6084/m9.figshare.1061880.v2
title: Depletion of florfenicol and florfenicol amine residues in chicken eggs

description: 1. The aim of this study was to develop a suitable method for the analysis of florfenicol (FF) and its metabolite florfenicol amine (FFA) in chicken eggs and to determine FF and FFA residue depletion in eggs of laying hens.2. The analytes were extracted from yolk, albumen and whole egg by phosphate buffer and ethyl acetate. Following purification, samples were analysed by high-performance liquid chromatography.3. Fifty laying hens were divided into 5 groups, and each hen received doses of 20 mg/kg FF: Group 1 (received a single oral dose by gavage); Group 2 (a single intramuscular dose); Group 3 (a single subcutaneous dose); Group 4 (multiple oral doses for 3 d) and Group 5 (multiple oral doses for 5 d).4. Limits of detection and of quantitation values were 1.94 and 6.45 g/10<sup>9</sup> g (ppb) for FF, respectively, and 0.48 and 1.58 ppb for FFA, respectively. Relative standard deviation values of intra-day and inter-day variation below 11% also confirmed the usefulness of the method for analysing FF and FFA in eggs.5. From the first day of both oral and parenteral administration, FF and FFA were detected at 0.1% and 0.08% of dosage, respectively, and 57% of the drugs were eliminated from the egg yolk. Elimination time of FF was 8 d in Groups 1, 2 and 3; 9 d in Group 4 and 10 d in Group 5.
DOI: 10.6084/m9.figshare.1061500.v1
title: TCGA exon annotation in GFF format from June, 2011

description: TCGA exon and isoform annotation in GFF format from June, 2011, using the hg19 assembly, correcting for various annotation errors. and clustering transcripts the following way: 1. cluster transcripts according to genome overlap in the same strand. 2. group transcripts if they have a shared splice-site. 3. select as gene id the symbol if there is one, or use "locus_#" if they don't have gene symbol, or use two symbols if they happen to overlap and share a splice-site.
DOI: 10.6084/m9.figshare.1061880.v4
title: Depletion of florfenicol and florfenicol amine residues in chicken eggs

description: 1. The aim of this study was to develop a suitable method for the analysis of florfenicol (FF) and its metabolite florfenicol amine (FFA) in chicken eggs and to determine FF and FFA residue depletion in eggs of laying hens.2. The analytes were extracted from yolk, albumen and whole egg by phosphate buffer and ethyl acetate. Following purification, samples were analysed by high-performance liquid chromatography.3. Fifty laying hens were divided into 5 groups, and each hen received doses of 20 mg/kg FF: Group 1 (received a single oral dose by gavage); Group 2 (a single intramuscular dose); Group 3 (a single subcutaneous dose); Group 4 (multiple oral doses for 3 d) and Group 5 (multiple oral doses for 5 d).4. Limits of detection and of quantitation values were 1.94 and 6.45 g/10<sup>9</sup> g (ppb) for FF, respectively, and 0.48 and 1.58 ppb for FFA, respectively. Relative standard deviation values of intra-day and inter-day variation below 11% also confirmed the usefulness of the method for analysing FF and FFA in eggs.5. From the first day of both oral and parenteral administration, FF and FFA were detected at 0.1% and 0.08% of dosage, respectively, and 57% of the drugs were eliminated from the egg yolk. Elimination time of FF was 8 d in Groups 1, 2 and 3; 9 d in Group 4 and 10 d in Group 5.
DOI: 10.6084/m9.figshare.1061880.v3
title: Depletion of florfenicol and florfenicol amine residues in chicken eggs

description: 1. The aim of this study was to develop a suitable method for the analysis of florfenicol (FF) and its metabolite florfenicol amine (FFA) in chicken eggs and to determine FF and FFA residue depletion in eggs of laying hens.2. The analytes were extracted from yolk, albumen and whole egg by phosphate buffer and ethyl acetate. Following purification, samples were analysed by high-performance liquid chromatography.3. Fifty laying hens were divided into 5 groups, and each hen received doses of 20 mg/kg FF: Group 1 (received a single oral dose by gavage); Group 2 (a single intramuscular dose); Group 3 (a single subcutaneous dose); Group 4 (multiple oral doses for 3 d) and Group 5 (multiple oral doses for 5 d).4. Limits of detection and of quantitation values were 1.94 and 6.45 g/10<sup>9</sup> g (ppb) for FF, respectively, and 0.48 and 1.58 ppb for FFA, respectively. Relative standard deviation values of intra-day and inter-day variation below 11% also confirmed the usefulness of the method for analysing FF and FFA in eggs.5. From the first day of both oral and parenteral administration, FF and FFA were detected at 0.1% and 0.08% of dosage, respectively, and 57% of the drugs were eliminated from the egg yolk. Elimination time of FF was 8 d in Groups 1, 2 and 3; 9 d in Group 4 and 10 d in Group 5.
DOI: 10.6084/m9.figshare.1061492
title: GIS geo-referenced datasets

description: This fileset contains geo-referenced data files. Latitude and longitude are WGS-84 unless described otherwise.
DOI: 10.6084/m9.figshare.1061491
title: Bangor University display energy certificates 2013-2014

description: This datafile contains geo-referenced (WGS-84) entries for year-2013 display energy certificates (DECs) for all buildings on the Bangor University campus in North Wales. Data is courtesy of the Bangor University Estates and Facilities Department.
DOI: 10.6084/m9.figshare.1061491.v1
title: Bangor University display energy certificates 2013-2014

description: This datafile contains geo-referenced (WGS-84) entries for year-2013 display energy certificates (DECs) for all buildings on the Bangor University campus in North Wales. Data is courtesy of the Bangor University Estates and Facilities Department.
DOI: 10.6084/m9.figshare.1061489
title: Human-Centred Design

description: A collection of resources Paramodic has developed for human-centred design. We find these produce rapid, collaborative and meaningful outcomes for our clients across the public, corporate and not-for-profit sectors.
DOI: 10.6084/m9.figshare.1061492.v1
title: GIS geo-referenced datasets

description: This fileset contains geo-referenced data files. Latitude and longitude are WGS-84 unless described otherwise.
DOI: 10.6084/m9.figshare.1061485
title: Survey Questionnaire

description: Survey Questionnaire by ZeroTurnaround in 2013 Note: This document was published by Dietmar Pfahl on behalf of ZeroTurnaround; it was not authored by Dietmar Pfahl.
DOI: 10.6084/m9.figshare.1061486
title: Survey Raw Data

description: Raw data and histograms of ZeroTurnaround's 2013 survey. Note: This file was published on behalf of ZeroTurnaround. It was not authored by Dietmar Pfahl.
DOI: 10.6084/m9.figshare.1061485.v1
title: Survey Questionnaire

description: Survey Questionnaire by ZeroTurnaround in 2013 Note: This document was published by Dietmar Pfahl on behalf of ZeroTurnaround; it was not authored by Dietmar Pfahl.
DOI: 10.6084/m9.figshare.1061489.v1
title: Human-Centred Design

description: A collection of resources Paramodic has developed for human-centred design. We find these produce rapid, collaborative and meaningful outcomes for our clients across the public, corporate and not-for-profit sectors.