cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6817586
title: Additional file 4: of Expression profile analysis reveals that Aspergillus fumigatus but not Aspergillus niger makes type II epithelial lung cells less immunological alert

description: Table S2. Differentially gene expression and enriched GO terms of A. niger after 12Â h of co-cultivation with A549 cells. Electronic format. (XLSX 38 kb)
DOI: 10.6084/m9.figshare.6817583.v1
title: MOESM1 of A novel LCâ MS method using collagen marker peptides for species identification of glue applicable to samples with multiple animal origins

description: Additional file 1: Table S1. MRM transitions of marker peptides.
DOI: 10.6084/m9.figshare.6817586.v1
title: Additional file 4: of Expression profile analysis reveals that Aspergillus fumigatus but not Aspergillus niger makes type II epithelial lung cells less immunological alert

description: Table S2. Differentially gene expression and enriched GO terms of A. niger after 12Â h of co-cultivation with A549 cells. Electronic format. (XLSX 38 kb)
DOI: 10.6084/m9.figshare.6817574
title: Additional file 3: of Expression profile analysis reveals that Aspergillus fumigatus but not Aspergillus niger makes type II epithelial lung cells less immunological alert

description: Table S1. Differentially gene expression and enriched GO terms of A. fumigatus after 12Â h of co-cultivation with A549 cells. Electronic format. (XLSX 63 kb)
DOI: 10.6084/m9.figshare.6817574.v1
title: Additional file 3: of Expression profile analysis reveals that Aspergillus fumigatus but not Aspergillus niger makes type II epithelial lung cells less immunological alert

description: Table S1. Differentially gene expression and enriched GO terms of A. fumigatus after 12Â h of co-cultivation with A549 cells. Electronic format. (XLSX 63 kb)
DOI: 10.6084/m9.figshare.6817568
title: Additional file 3: of Expression Profile of Defense Genes in Rice Lines Pyramided with Resistance Genes Against Bacterial Blight, Fungal Blast and Insect Gall Midge

description: Table S3. Details of primer pairs used in detecting pyramided target genesÂ in test lines. (XLSX 10Â kb)
DOI: 10.6084/m9.figshare.6817568.v1
title: Additional file 3: of Expression Profile of Defense Genes in Rice Lines Pyramided with Resistance Genes Against Bacterial Blight, Fungal Blast and Insect Gall Midge

description: Table S3. Details of primer pairs used in detecting pyramided target genesÂ in test lines. (XLSX 10Â kb)
DOI: 10.6084/m9.figshare.6817556
title: Additional file 7: of Wolf outside, dog inside? The genomic make-up of the Czechoslovakian Wolfdog

description: Table S1a. Wolf-excess genes surrounding outlier wolf-like SNPs (OWS) from PCAdmix. Table S1b. Enrichment in gene ontology categories (EGO) of wolf-excess genes surrounding the OWS from PCAdmix. Table S1c. Dog-excess genes surrounding outlier dog-like SNPs (ODS) from PCAdmix. Table S1d. EGO of dog-excess genes surrounding ODS from PCAdmix. Table S2a. Dog-excess genes included in genomic regions within ROHs. Table S2b. EGO of the dog-excess genes included in genomic regions within ROHs. Table S3a. Wolf-excess genes surrounding OWS from the lowest FST between CWDs and Carpathian wolves. Table S3b. EGO of wolf-excess genes surrounding OWS from the lowest FST between CWDs and Carpathian wolves. Table S3c. Dog-excess genes surrounding ODS from the lowest FST between CWDs and German Shepherds. Table S3d. EGO of dog-excess genes surrounding ODS from the lowest FST between CWDs and German Shepherds. Table S4a. Wolf-excess genes surrounding the outlier wolf-like 10-SNP blocks identified from the lowest FST between CWDs and Carpathian wolves. Table S4b. EGO of the wolf-excess genes surrounding the outlier wolf-like 10-SNP blocks identified from the lowest FST between CWDs and Carpathian wolves. Table S4c. Dog-excess genes surrounding outlier dog-like 10-SNP blocks from the lowest FST between CWDs and German Shepherds. Table S4d. EGO of dog-excess genes surrounding outlier dog-like 10-SNP blocks from the lowest FST between CWDs and German Shepherds. Table S5a. Wolf-excess genes surrounding OWS from BGC alpha parameter. Table S5b. EGO of wolf-excess genes surrounding OWS from BGC alpha parameter. Table S5c. Dog-excess genes surrounding ODS from BGC alpha parameter. Table S5d. EGO of dog-excess genes surrounding ODS from BGC alpha parameter. Table S6a. Wolf-excess surrounding OWS from BayeScan. Table S6b. EGO of wolf-excess genes surrounding OWS from BayeScan. Table S6c. Dog-excess genes surrounding ODS from BayeScan. Table S6d. EGO of dog-excess genes surrounding ODS from BayeScan. (XLSX 781 kb)
DOI: 10.6084/m9.figshare.6817559
title: Additional file 2: of Expression Profile of Defense Genes in Rice Lines Pyramided with Resistance Genes Against Bacterial Blight, Fungal Blast and Insect Gall Midge

description: Table S2. Quantitative Reverse Transcription PCR data against 14 genes recorded in Experiment-1 and Experiment-2. (XLSX 28Â kb)
DOI: 10.6084/m9.figshare.6817556.v1
title: Additional file 7: of Wolf outside, dog inside? The genomic make-up of the Czechoslovakian Wolfdog

description: Table S1a. Wolf-excess genes surrounding outlier wolf-like SNPs (OWS) from PCAdmix. Table S1b. Enrichment in gene ontology categories (EGO) of wolf-excess genes surrounding the OWS from PCAdmix. Table S1c. Dog-excess genes surrounding outlier dog-like SNPs (ODS) from PCAdmix. Table S1d. EGO of dog-excess genes surrounding ODS from PCAdmix. Table S2a. Dog-excess genes included in genomic regions within ROHs. Table S2b. EGO of the dog-excess genes included in genomic regions within ROHs. Table S3a. Wolf-excess genes surrounding OWS from the lowest FST between CWDs and Carpathian wolves. Table S3b. EGO of wolf-excess genes surrounding OWS from the lowest FST between CWDs and Carpathian wolves. Table S3c. Dog-excess genes surrounding ODS from the lowest FST between CWDs and German Shepherds. Table S3d. EGO of dog-excess genes surrounding ODS from the lowest FST between CWDs and German Shepherds. Table S4a. Wolf-excess genes surrounding the outlier wolf-like 10-SNP blocks identified from the lowest FST between CWDs and Carpathian wolves. Table S4b. EGO of the wolf-excess genes surrounding the outlier wolf-like 10-SNP blocks identified from the lowest FST between CWDs and Carpathian wolves. Table S4c. Dog-excess genes surrounding outlier dog-like 10-SNP blocks from the lowest FST between CWDs and German Shepherds. Table S4d. EGO of dog-excess genes surrounding outlier dog-like 10-SNP blocks from the lowest FST between CWDs and German Shepherds. Table S5a. Wolf-excess genes surrounding OWS from BGC alpha parameter. Table S5b. EGO of wolf-excess genes surrounding OWS from BGC alpha parameter. Table S5c. Dog-excess genes surrounding ODS from BGC alpha parameter. Table S5d. EGO of dog-excess genes surrounding ODS from BGC alpha parameter. Table S6a. Wolf-excess surrounding OWS from BayeScan. Table S6b. EGO of wolf-excess genes surrounding OWS from BayeScan. Table S6c. Dog-excess genes surrounding ODS from BayeScan. Table S6d. EGO of dog-excess genes surrounding ODS from BayeScan. (XLSX 781 kb)
DOI: 10.6084/m9.figshare.6817559.v1
title: Additional file 2: of Expression Profile of Defense Genes in Rice Lines Pyramided with Resistance Genes Against Bacterial Blight, Fungal Blast and Insect Gall Midge

description: Table S2. Quantitative Reverse Transcription PCR data against 14 genes recorded in Experiment-1 and Experiment-2. (XLSX 28Â kb)
DOI: 10.6084/m9.figshare.6817547
title: Additional file 1: of Expression Profile of Defense Genes in Rice Lines Pyramided with Resistance Genes Against Bacterial Blight, Fungal Blast and Insect Gall Midge

description: Table S1. Phenotypic evaluation of the 11 test lines against non-target pests in greenhouse and field tests. (XLSX 12Â kb)
DOI: 10.6084/m9.figshare.6817547.v1
title: Additional file 1: of Expression Profile of Defense Genes in Rice Lines Pyramided with Resistance Genes Against Bacterial Blight, Fungal Blast and Insect Gall Midge

description: Table S1. Phenotypic evaluation of the 11 test lines against non-target pests in greenhouse and field tests. (XLSX 12Â kb)
DOI: 10.6084/m9.figshare.6817520
title: Additional file 1: of Expression profile analysis reveals that Aspergillus fumigatus but not Aspergillus niger makes type II epithelial lung cells less immunological alert

description: Table S7. Overview of RNA-seq mapping of reads per sample. Electronic format. (XLSX 8 kb)
DOI: 10.6084/m9.figshare.6817520.v1
title: Additional file 1: of Expression profile analysis reveals that Aspergillus fumigatus but not Aspergillus niger makes type II epithelial lung cells less immunological alert

description: Table S7. Overview of RNA-seq mapping of reads per sample. Electronic format. (XLSX 8 kb)
DOI: 10.6084/m9.figshare.6817448
title: Additional file 17: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S16. Adenylate cyclases, phosphodiesterases, protein kinases C and phospholipases C of Bombyx mori and Drosophila melanogaster. Annotation for each gene was enriched with data from [4, 27â 32]. The sequence of each protein used to construct the posterior probability trees is shown in column AN and AO for Bm and Dm, respectively. (XLSX 130 kb)
DOI: 10.6084/m9.figshare.6817448.v1
title: Additional file 17: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S16. Adenylate cyclases, phosphodiesterases, protein kinases C and phospholipases C of Bombyx mori and Drosophila melanogaster. Annotation for each gene was enriched with data from [4, 27â 32]. The sequence of each protein used to construct the posterior probability trees is shown in column AN and AO for Bm and Dm, respectively. (XLSX 130 kb)
DOI: 10.6084/m9.figshare.6817436
title: Additional file 16: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S15. Tabulation of 1894 gene models, using the nomenclature of KAIKObase ( http://sgp.dna.affrc.go.jp/KAIKObase/ ), whose Drosophila melanogaster orthologues had an obvious phenotype (column AT) when silenced by RG-specific RNAi. Data from [32] was used to identify the Bm orthologues of Dm genes using OrthoDB [107]. The Bm orthologues were then annotated with our LC-MS/MS data [28] (column F to R), our Bowtie2 data [27] (column S to Z), our Cufflinks data (column AA to AN), and the phenotypic data [32] (column AQ to AT). Data from this table is presented in Fig. 2f. (XLSX 1346 kb)
DOI: 10.6084/m9.figshare.6817436.v1
title: Additional file 16: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S15. Tabulation of 1894 gene models, using the nomenclature of KAIKObase ( http://sgp.dna.affrc.go.jp/KAIKObase/ ), whose Drosophila melanogaster orthologues had an obvious phenotype (column AT) when silenced by RG-specific RNAi. Data from [32] was used to identify the Bm orthologues of Dm genes using OrthoDB [107]. The Bm orthologues were then annotated with our LC-MS/MS data [28] (column F to R), our Bowtie2 data [27] (column S to Z), our Cufflinks data (column AA to AN), and the phenotypic data [32] (column AQ to AT). Data from this table is presented in Fig. 2f. (XLSX 1346 kb)
DOI: 10.6084/m9.figshare.6817421
title: Additional file 15: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S14. Tabulation of 350 loci with &gt;â 1,000,000 short reads per locus based on the Cufflinks output. Data from Additional file 3: Table S3 with the indication HIDATA (column I) is shown. In cases where a gene model was included between the test ID coordinates (Column D), this is indicated using the nomenclature of KAIKObase ( http://sgp.dna.affrc.go.jp/KAIKObase/ ) or it is left empty. Each test was annotated with its corresponding data from the Bowtie2 output [28] (columns R to Y) and the results of the Blastp analysis against the Bm protein reference sequences (NCBI annotation release 102) (columns Z and AA). (XLSX 263 kb)
DOI: 10.6084/m9.figshare.6817421.v1
title: Additional file 15: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S14. Tabulation of 350 loci with &gt;â 1,000,000 short reads per locus based on the Cufflinks output. Data from Additional file 3: Table S3 with the indication HIDATA (column I) is shown. In cases where a gene model was included between the test ID coordinates (Column D), this is indicated using the nomenclature of KAIKObase ( http://sgp.dna.affrc.go.jp/KAIKObase/ ) or it is left empty. Each test was annotated with its corresponding data from the Bowtie2 output [28] (columns R to Y) and the results of the Blastp analysis against the Bm protein reference sequences (NCBI annotation release 102) (columns Z and AA). (XLSX 263 kb)
DOI: 10.6084/m9.figshare.6817406
title: Additional file 14: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S13. Integration of Bombyx mori orthologues with the Drosophila melanogaster RG-specific genes affected by RasV12 or Torso-RNAi phenotypes as described [4]. The data shown in the table corresponds to data presented on Fig. 5i and j of [4]. (XLSX 90 kb)
DOI: 10.6084/m9.figshare.6817406.v1
title: Additional file 14: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S13. Integration of Bombyx mori orthologues with the Drosophila melanogaster RG-specific genes affected by RasV12 or Torso-RNAi phenotypes as described [4]. The data shown in the table corresponds to data presented on Fig. 5i and j of [4]. (XLSX 90 kb)
DOI: 10.6084/m9.figshare.6817391
title: Additional file 13: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S12. Tabulation of 76 gene models that were down-regulated by PTTH and 173 gene models that were up-regulated by PTTH based on data from [4]. Data derived from [4] was annotated using the nomenclature of KAIKObase ( http://sgp.dna.affrc.go.jp/KAIKObase/ ) and enriched with our Bowtie2 data [27], the Cufflinks data (this study) and Dm orthologue data as presented in [4]. (XLSX 167 kb)
DOI: 10.6084/m9.figshare.6817391.v1
title: Additional file 13: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S12. Tabulation of 76 gene models that were down-regulated by PTTH and 173 gene models that were up-regulated by PTTH based on data from [4]. Data derived from [4] was annotated using the nomenclature of KAIKObase ( http://sgp.dna.affrc.go.jp/KAIKObase/ ) and enriched with our Bowtie2 data [27], the Cufflinks data (this study) and Dm orthologue data as presented in [4]. (XLSX 167 kb)
DOI: 10.6084/m9.figshare.6817379
title: Additional file 12: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S11. Tabulation of 1617 data points used to construct Fig. 2b. Data was derived from [4, 27â 32] (see text for details). (XLSX 647 kb)
DOI: 10.6084/m9.figshare.6817355
title: Additional file 11: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S10. Tabulation of 272 PG-specifc gene models using the nomenclature of KAIKObase ( http://sgp.dna.affrc.go.jp/KAIKObase/ ). Data included in this table is shortlisted from Additional file 10: Table S9 and used in Fig. 2b and c (see text for details). (XLSX 337 kb)
DOI: 10.6084/m9.figshare.6817355.v1
title: Additional file 11: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S10. Tabulation of 272 PG-specifc gene models using the nomenclature of KAIKObase ( http://sgp.dna.affrc.go.jp/KAIKObase/ ). Data included in this table is shortlisted from Additional file 10: Table S9 and used in Fig. 2b and c (see text for details). (XLSX 337 kb)
DOI: 10.6084/m9.figshare.6817343
title: Additional file 1: of Does body mass index early in pregnancy influence the risk of maternal anaemia? An observational study in Indonesian and Ghanaian women

description: Table S1. Missing values upon baseline characteristics of the study populations. The supplementary table shows the incidence of missing data for each baseline characteristic. (XLSX 8 kb)
DOI: 10.6084/m9.figshare.6817337
title: Additional file 1: of Herding behavior in Ramadan and financial crises: the case of the Pakistani stock market

description: Data File. (XLSX 1871Â kb)
DOI: 10.6084/m9.figshare.6817343.v1
title: Additional file 1: of Does body mass index early in pregnancy influence the risk of maternal anaemia? An observational study in Indonesian and Ghanaian women

description: Table S1. Missing values upon baseline characteristics of the study populations. The supplementary table shows the incidence of missing data for each baseline characteristic. (XLSX 8 kb)
DOI: 10.6084/m9.figshare.6817325
title: Additional file 10: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S9. Analysis of RNA-seq data from PGs and Br-CC-CA at the wandering stage of Bombyx mori using PANDORA [39]. RNA-seq data was downloaded from DDBJ Sequence Read Archive (Accession number: DRA002282) [29, 30] and analysed to identify PG-specific genes (see Methods for details). The raw output of PANDORA is tabulated to include 15,726 Bm gene models using the nomenclature of KAIKObase ( http://sgp.dna.affrc.go.jp/KAIKObase/ ). (XLSX 3792 kb)
DOI: 10.6084/m9.figshare.6817325.v1
title: Additional file 10: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S9. Analysis of RNA-seq data from PGs and Br-CC-CA at the wandering stage of Bombyx mori using PANDORA [39]. RNA-seq data was downloaded from DDBJ Sequence Read Archive (Accession number: DRA002282) [29, 30] and analysed to identify PG-specific genes (see Methods for details). The raw output of PANDORA is tabulated to include 15,726 Bm gene models using the nomenclature of KAIKObase ( http://sgp.dna.affrc.go.jp/KAIKObase/ ). (XLSX 3792 kb)
DOI: 10.6084/m9.figshare.6817109
title: Flora das Restingas de Sergipe: análise da lista de espécies indicadoras dos estágios sucessionais (Resolução CONAMA n° 443/2012)

description: Os arquivos disponíveis do conjunto de dados são suplementos digitais ao artigo "Flora das Restingas de Sergipe: análise da lista de espécies indicadoras dos estágios sucessionais (Resolução CONAMA n° 443/2012)", publicado na revista Sociedade & Natureza, v. 30, n. 2, p. 210-222, 2018.<br> <br>Lista dos arquivos: 1- Espécies da resolução CONAMA número 443/2011 ausentes nas Restingas de Sergipe e sua ocorrência nos municípios do estado (.xlsx). 2- Divisão político-administrativa do estado de Sergipe, na região Nordeste do Brasil, com destaque para os municípios localizados na planície costeira e que possuem áreas com vegetação de Restinga (.jpg).<br> E.V.S. Oliveira elaborou o arquivo 2 e colaborou com o arquivo 1; M.F. Landim colaborou com o arquivo 1.
DOI: 10.6084/m9.figshare.6817109.v2
title: Flora das Restingas de Sergipe: análise da lista de espécies indicadoras dos estágios sucessionais (Resolução CONAMA n° 443/2012)

description: Os arquivos disponíveis do conjunto de dados são suplementos digitais ao artigo "Flora das Restingas de Sergipe: análise da lista de espécies indicadoras dos estágios sucessionais (Resolução CONAMA n° 443/2012)", publicado na revista Sociedade & Natureza, v. 30, n. 2, p. 210-222, 2018.<br> <br>Lista dos arquivos: 1- Espécies da resolução CONAMA número 443/2011 ausentes nas Restingas de Sergipe e sua ocorrência nos municípios do estado (.xlsx). 2- Divisão político-administrativa do estado de Sergipe, na região Nordeste do Brasil, com destaque para os municípios localizados na planície costeira e que possuem áreas com vegetação de Restinga (.jpg).<br> E.V.S. Oliveira elaborou o arquivo 2 e colaborou com o arquivo 1; M.F. Landim colaborou com o arquivo 1.
DOI: 10.6084/m9.figshare.6817109.v1
title: Flora das Restingas de Sergipe: análise da lista de espécies indicadoras dos estágios sucessionais (Resolução CONAMA n° 443/2012)

description: Material suplementar ao artigo "Flora das Restingas de Sergipe: análise da lista de espécies indicadoras dos estágios sucessionais (Resolução CONAMA n° 443/2012)" submetido a revista Sociedade e Natureza (2018).
DOI: 10.6084/m9.figshare.6816977
title: CRE project data

description: Supporting information of article published in Journal of Geophysical Research (JGR)-Oceans: https://doi.org/10.1029/2018JC014093Title: Variability of suspended particle properties using optical measurements within the Columbia River EstuaryThe data for this paper is available hereCRE_project_data.mat, CRE_project_map.mat, CRE_project_velocity.matCorrespondence to: Jing Tao, jing.tao@dal.caDOI: 10.6084/m9.figshare.6816977
DOI: 10.6084/m9.figshare.6816977.v2
title: CRE project data

description: Supporting information of article published in Journal of Geophysical Research (JGR)-Oceans: https://doi.org/10.1029/2018JC014093Title: Variability of suspended particle properties using optical measurements within the Columbia River EstuaryThe data for this paper is available hereCRE_project_data.mat, CRE_project_map.mat, CRE_project_velocity.matCorrespondence to: Jing Tao, jing.tao@dal.caDOI: 10.6084/m9.figshare.6816977
DOI: 10.6084/m9.figshare.6816917
title: Methylation and expression data for whole-genome human imprinting study

description: Supplementary data for Zink et al. , "Insights into Imprinting from Parent-of-Origin Phased Methylomes and Transcriptomes", Nature Genetics (2018)<br>We combined whole genome oxidative bisulfite sequencing of 285 people and allele-specific RNA-seq from 11,617 blood samples with parent-of-origin (PofO) phased haplotypes, to produce a new map of imprinted methylation and gene expression patterns across the human genome.<br>Here we make available data files with average and PofO-specific methylation levels per CpG site, <i>P</i>-value for PofO-specific methylation per CpG site, and <i>P</i>-value for PofO-specific expression per exonic SNP, respectively<br>
DOI: 10.6084/m9.figshare.6816977.v1
title: CRE project data

description: Supporting information of article published in Journal of Geophysical Research (JGR)-Oceans: https://doi.org/10.1029/2018JC014093Title: Variability of suspended particle properties using optical measurements within the Columbia River EstuaryThe data for this paper is available hereData used to generate figures: CRE_project_data.mat, CRE_project_map.mat, CRE_project_velocity.matRaw data: Merge_PSD.zip, CRE_project_raw_IOP.mat, RBR_raw.zipCorrespondence to: Jing Tao, jing.tao@dal.caDOI: 10.6084/m9.figshare.6816977
DOI: 10.6084/m9.figshare.6816884
title: RBR_raw.zip

description: Raw RBR data for salinity and density
DOI: 10.6084/m9.figshare.6816884.v1
title: RBR_raw.zip

description: Raw RBR data for salinity and density
DOI: 10.6084/m9.figshare.6816860
title: Data from: Refilling temporary ponds has timing-dependent effects on Hyla gratiosa performance

description: Data (csv) and associated README (txt) files for the paper "Refilling temporary ponds has timing-dependent effects on <i>Hyla gratiosa</i> performance" by Matthew R. Pintar and William J. Resetarits, Jr in Freshwater Biology.
DOI: 10.6084/m9.figshare.6816851
title: Model selection methods

description: This dataset contains code and data necessary to reproduce key results (Figures 3-5) of a manuscript titled "Evaluation of methods for selecting climate models to simulate future hydrological change", published in Climatic Change.
DOI: 10.6084/m9.figshare.6816851.v1
title: Model selection methods

description: This dataset contains code and data necessary to reproduce key results (Figures 3-5) of a manuscript titled "Evaluation of methods for selecting climate models to simulate future hydrological change", published in Climatic Change.