cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2023-01.2712449/2292507
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2718777/2292508
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2732002/2292509
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2721719/2292510
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2726416/2292511
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2711884/2292512
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2717923/2292513
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.12685937
title: Daily updated dataset of national and global CO2 emissions from fossil fuel and cement production

description: Timely, comprehensive and accurate dataset of CO2 emissions from fossil fuel combustion and cement production are fundamental prerequisites to understanding the global carbon cycle and designing evidenced-based policies for reducing carbon emissions. Here we provided daily CO2 emission data record started from Jan. 1<sup>st</sup> 2019. The dataset uncovered the daily CO2 dynamics through daily, weekly and seasonal variations as well as the change of daily CO2 due to the holiday events and the impact of COVID-19 pandemic.Such near-real-time CO2 dataset would be of great advantage to further monitoring the human activities and to capture the impacts of COVID-19 for long term.
DOI: 10.25582/data.2023-01.2718676/2292514
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25549/usctheses-c3-414765
title: etd-CooleyEmil-2514_fanfare
DOI: 10.25582/data.2023-01.2720813/2292515
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2719499/2292516
title: Data for EMSL Project 51287 from January 2023
DOI: 10.26180/14783100
title: Rutidosis leptorhynchoides DArT genotypes and sampling data 2

description: Genotyping and sampling data for the manuscript: Rodger, Y.S., Pavlova, A., Sinclair, S., Morgan, J., Lee, C., Hodgins, K.A., Stevenson, A., Killian, A., Sunnucks, P. Localized origin of polyploidy supports separate management of different-ploidy populations of an endangered daisy <br><br>Two types of genotyping data are produced by Diversity Arrays Technology: codominant single nucleotide polymorphisms (SNP) and presence-absence dominant loci called silicoDArTs<br><br>Genotypes of all individuals:<br>File 'Rutidosis polyploid DArT SNP data.csv': genotypes of all individuals for SNP loci<br>File 'Rutidosis polyploid SilicoDArT data.csv': genotypes of all individuals for silicoDArT loci<br>File 'Rutidosis polyploid covariates.csv': covariate file for all individuals. Contains the following fields: id- individual identification, pop- population name, lat- latitude, lon- longitude (coordinates are given only for natural populations), notes- comment on whether an individual was excluded from the analysis and why.<br><br>Separately scored SNP genotypes of tetraploid individuals:<br>File 'Rutidosis tetraploid DArT SNP data.csv': genotypes of tetraploid individuals for SNP loci<br>File 'Rutidosis tetraploids covariates.csv': covariate file for tetraploid individuals. Contains the following fields: id- individual identification, pop- population name, lat- latitude, lon- longitude (coordinates are given only for natural populations), notes- comment on whether an individual was excluded from the analysis and why.<br>Metadata:File 'Metadata_SNP.txt' explains the content of the columns in SNP genotype files.<br>File 'Metadata_SilicoDArT.txt' explains the content of the columns in silicoDArT genotype files.<br><br>
DOI: 10.26180/14783100.v1
title: Rutidosis leptorhynchoides DArT genotypes and sampling data 2

description: Genotyping and sampling data for the manuscript: Rodger, Y.S., Pavlova, A., Sinclair, S., Morgan, J., Lee, C., Hodgins, K.A., Stevenson, A., Killian, A., Sunnucks, P. Localized origin of polyploidy supports separate management of different-ploidy populations of an endangered daisy <br><br>Two types of genotyping data are produced by Diversity Arrays Technology: codominant single nucleotide polymorphisms (SNP) and presence-absence dominant loci called silicoDArTs<br><br>Genotypes of all individuals:<br>File 'Rutidosis polyploid DArT SNP data.csv': genotypes of all individuals for SNP loci<br>File 'Rutidosis polyploid SilicoDArT data.csv': genotypes of all individuals for silicoDArT loci<br>File 'Rutidosis polyploid covariates.csv': covariate file for all individuals. Contains the following fields: id- individual identification, pop- population name, lat- latitude, lon- longitude (coordinates are given only for natural populations), notes- comment on whether an individual was excluded from the analysis and why.<br><br>Separately scored SNP genotypes of tetraploid individuals:<br>File 'Rutidosis tetraploid DArT SNP data.csv': genotypes of tetraploid individuals for SNP loci<br>File 'Rutidosis tetraploids covariates.csv': covariate file for tetraploid individuals. Contains the following fields: id- individual identification, pop- population name, lat- latitude, lon- longitude (coordinates are given only for natural populations), notes- comment on whether an individual was excluded from the analysis and why.<br>Metadata:File 'Metadata_SNP.txt' explains the content of the columns in SNP genotype files.<br>File 'Metadata_SilicoDArT.txt' explains the content of the columns in silicoDArT genotype files.<br><br>
DOI: 10.25582/data.2023-01.2718372/2292517
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2731671/2292518
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2731862/2292519
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2717437/2292520
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2717434/2292521
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.25183769
title: Simple Sequence Repeats (SSR) in <i>Gossypium purpurascens</i>

description: Simple Sequence Repeats (SSR) in <i>Gossypium purpurascens</i>
DOI: 10.6084/m9.figshare.25183769.v1
title: Simple Sequence Repeats (SSR) in <i>Gossypium purpurascens</i>

description: Simple Sequence Repeats (SSR) in <i>Gossypium purpurascens</i>
DOI: 10.25582/data.2023-01.2722587/2292522
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2711819/2292523
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2718383/2292524
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2726605/2292525
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2731610/2292526
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2731755/2292527
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2722575/2292528
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2716617/2292529
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2712799/2292530
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.25002590
title: The data includes information on the expression levels of genes and their isoforms, as well as the classification and sequences of TF

description: The data includes information on the expression levels of genes and their isoforms, as well as the classification and sequences of transcription factors of Gossypium purpurascens
DOI: 10.25549/usctheses-c3-414764
title: etd-CooleyEmil-2514_circle
DOI: 10.25582/data.2023-02.2731902/2292531
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2732031/2292532
title: Data for EMSL Project 51287 from February 2023
DOI: 10.6084/m9.figshare.25002515
title: Splice Data

description: Alternative splicing events of Gossypium purpurascens
DOI: 10.6084/m9.figshare.25002515.v1
title: Splice Data

description: Alternative splicing events of Gossypium purpurascens
DOI: 10.25582/data.2023-01.2718168/2292533
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.25002506
title: Full length transcriptome sequences

description: Full length transcriptome sequences of Gossypium purpurascens
DOI: 10.6084/m9.figshare.25002506.v1
title: Full length transcriptome sequences

description: Full length transcriptome sequences of Gossypium purpurascens
DOI: 10.25582/data.2023-01.2719796/2292534
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.25002491
title: Full length transcriptome assembly annotation

description: Full length transcriptome assembly annotation of Gossypium purpurascnes used for Pacbio
DOI: 10.6084/m9.figshare.25002491.v1
title: Full length transcriptome assembly annotation

description: Full length transcriptome assembly annotation of Gossypium purpurascnes used for Pacbio
DOI: 10.25582/data.2023-02.2731748/2292535
title: Data for EMSL Project 51287 from February 2023
DOI: 10.6084/m9.figshare.25002371
title: Novel coding isoforms annotation

description: Novel coding isoforms annotation used for PacBio Iso-seq
DOI: 10.6084/m9.figshare.25002371.v1
title: Novel coding isoforms annotation

description: Novel coding isoforms annotation used for PacBio Iso-seq
DOI: 10.25582/data.2023-01.2725689/2292536
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.25002098
title: The novel coding isoforms annotation and lncRNA sequences of Gossypium purpurascens used for PacBio Iso-seq

description: The novel coding isoforms annotation (.gff3) and annotated mRNA and lncRNA sequences (.cds) of Gossypium purpurascens used for PacBio Iso-seq<br>
DOI: 10.25549/usctheses-c3-414767
title: etd-CooleyEmil-2514_growing
DOI: 10.25582/data.2023-01.2719980/2292537
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.24906171
title: GO ontology and KEGG pathway analysis for the annotated sequences of Gossypium purpurascens

description: GO ontology and KEGG pathway analysis for the annotated sequences of Gossypium purpurascens used for PacBio Iso-seq
DOI: 10.6084/m9.figshare.24906171.v1
title: GO ontology and KEGG pathway analysis for the annotated sequences of Gossypium purpurascens

description: GO ontology and KEGG pathway analysis for the annotated sequences of Gossypium purpurascens used for PacBio Iso-seq
DOI: 10.25549/usctheses-c3-411906
title: etd-EllingsonK-2499.pdf
DOI: 10.25582/data.2023-02.2726739/2292538
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2719354/2292539
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2726345/2292540
title: Data for EMSL Project 51287 from February 2023
DOI: 10.6084/m9.figshare.24220363
title: Rainstorm waterlogging vulnerability assessment of subway stations in the central area of Tianjin

description: Rainstorm and waterlogging disasters of underground rail transit have recently become a vital safety problem. In this paper, a model of vulnerability assessment is established, and 14 indicators are selected to establish an indicator system for 109 stations in the central area of Tianjin. Analytic Hierarchy Process(AHP) and Entropy Weight Method (EWM) were used to determine the subjective and objective weights of indicators. A distance function was introduced to calculate the combined weights and improve the weights’ rationality. The results show that there are 34 high and medium-high vulnerability stations, and 41 low and medium-low vulnerability stations. Except for Line 2, the vulnerability level of subway stations on the rail lines decreased from the edge to the centre. Nankai District had the most high-vulnerability stations (seven of the 20 high-vulnerability stations). The main influence factors were the waterproofing capacity of the subway, the digital elevation model, the station type, the height of the exit, and the entrance steps.
DOI: 10.6084/m9.figshare.24220363.v1
title: Rainstorm waterlogging vulnerability assessment of subway stations in the central area of Tianjin

description: Rainstorm and waterlogging disasters of underground rail transit have recently become a vital safety problem. In this paper, a model of vulnerability assessment is established, and 14 indicators are selected to establish an indicator system for 109 stations in the central area of Tianjin. Analytic Hierarchy Process(AHP) and Entropy Weight Method (EWM) were used to determine the subjective and objective weights of indicators. A distance function was introduced to calculate the combined weights and improve the weights’ rationality. The results show that there are 34 high and medium-high vulnerability stations, and 41 low and medium-low vulnerability stations. Except for Line 2, the vulnerability level of subway stations on the rail lines decreased from the edge to the centre. Nankai District had the most high-vulnerability stations (seven of the 20 high-vulnerability stations). The main influence factors were the waterproofing capacity of the subway, the digital elevation model, the station type, the height of the exit, and the entrance steps.
DOI: 10.25582/data.2023-01.2719482/2292541
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2717428/2292542
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2726441/2292543
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2712647/2292544
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2722719/2292545
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2718743/2292546
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2717340/2292547
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2726571/2292548
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2721055/2292549
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721080/2292550
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721136/2292551
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721511/2292552
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25549/usctheses-c3-414754
title: etd-ZhaoZixian-2512_artMan
DOI: 10.6084/m9.figshare.21598986
title: China’s strictest water policy reverses water use trends and alleviates water stress

description: The datassets provided by with the paper entitled "China’s strictest water policy reverses water use trends and alleviates water stress".
<br>
(1) The GDP_Pop folder contains population and GDP data for different provinces.
    (The file names include the IDs of the different provinces, as shown in provinces_ID.xlsx).
 
(2) The IndGDP folder contains the value added of industrial products (industrial GVA).
<br>
(3) The Decompostion_analysis_data folder contains the data used for Decompostion_analysis, including
    irrigated area, irrigation water intensity, industrial GVA, industrial water intensity.
 population, and model water intensity for different provinces.
<br>
(4) provinces_ID.xlsx contains the IDs of the different provinces.
DOI: 10.25582/data.2023-01.2721550/2292553
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25549/usctheses-c3-414763
title: etd-CooleyEmil-2514_caught
DOI: 10.25582/data.2023-01.2721261/2292554
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721325/2292555
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721637/2292556
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721159/2292557
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721388/2292558
title: Data for EMSL Project 60066 from January 2023
DOI: 10.6084/m9.figshare.12161847
title: India Energy and Emission Inventory 1996-2016

description: This dataset contains energy inventories, emission factors and emission inventories in India 1996-2016. Raw data are collected and compiled from Indian Energy Statistics 2008, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018; Indian Petroleum & Natural Gas Statistics 2011-12, 2012-13, 2013-14, 2014-15, 2015-16, 2016-17, 2017-18; Coal Directory of India 2010-11, 2011-12, 2012-13, 2013-14, 2014-15, 2015-16, 2016-17, 2017-18; DGCI&S.
DOI: 10.25582/data.2023-01.2721278/2292559
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721182/2292560
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721476/2292561
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721381/2292562
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721293/2292563
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721483/2292564
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721415/2292565
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721655/2292566
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721222/2292567
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721176/2292568
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721905/2292569
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721255/2292570
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721072/2292571
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721898/2292572
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721355/2292573
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721163/2292574
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721522/2292575
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721459/2292576
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721622/2292577
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721392/2292578
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721073/2292579
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721287/2292580
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721202/2292581
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721621/2292582
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721422/2292583
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25549/usctheses-c3-414760
title: etd-ZhaoZixian-2512_rhapsody
DOI: 10.25582/data.2023-01.2721088/2292584
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721474/2292585
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721482/2292586
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25549/usctheses-c3-414757
title: etd-ZhaoZixian-2512_concerto
DOI: 10.25549/usctheses-c3-414777
title: etd-DimitrovGe-2515_waltz
DOI: 10.25582/data.2023-01.2721479/2292587
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721185/2292588
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721503/2292589
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721376/2292590
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721491/2292591
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721411/2292592
title: Data for EMSL Project 60066 from January 2023
DOI: 10.5281/zenodo.10638122
title: Final data for XAI for multiclass Classification.
DOI: 10.5281/zenodo.10638123
title: Final data for XAI for multiclass Classification.
DOI: 10.5281/zenodo.10638145
title: Data and code for retro-reflective surface paper

description: This repository contains the research data and code for shortwave radiation calculation. Data includes, but is not limited to, all the setup parameters and results for each section. Code is the core part where we incorporate the retro-reflectivity in shortwave calculation as detailed in the methods part.
DOI: 10.5281/zenodo.10638146
title: Data and code for retro-reflective surface paper

description: This repository contains the research data and code for shortwave radiation calculation. Data includes, but is not limited to, all the setup parameters and results for each section. Code is the core part where we incorporate the retro-reflectivity in shortwave calculation as detailed in the methods part.
DOI: 10.25582/data.2023-01.2721227/2292593
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721188/2292594
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721183/2292595
title: Data for EMSL Project 60066 from January 2023
DOI: 10.5281/zenodo.10638164
title: Raw Data_PredVfa&Methane_Fermentation Journal(2024)
DOI: 10.5281/zenodo.10638165
title: Raw Data_PredVfa&Methane_Fermentation Journal(2024)
DOI: 10.25582/data.2023-01.2721345/2292596
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721519/2292597
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721500/2292598
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721907/2292599
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721501/2292600
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721461/2292601
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721472/2292602
title: Data for EMSL Project 60066 from January 2023
DOI: 10.6084/m9.figshare.20025038.v1
title: Additional file 1 of The association of childhood adversities and mental health problems with dual-harm in individuals with serious aggressive behaviors

description: Additional file 1.
DOI: 10.6084/m9.figshare.20024811
title: Additional file 9 of Gene network analysis reveals candidate genes related with the hair follicle development in sheep

description: Additional file 9: Table S5. GO analysis of module in WGCNA.
DOI: 10.25582/data.2023-01.2721614/2292603
title: Data for EMSL Project 60066 from January 2023
DOI: 10.6084/m9.figshare.20024781
title: Additional file 10 of Gene network analysis reveals candidate genes related with the hair follicle development in sheep

description: Additional file 10: Table S6. KEGG pathway of module in WGCNA.
DOI: 10.6084/m9.figshare.20024799.v1
title: Additional file 5 of Gene network analysis reveals candidate genes related with the hair follicle development in sheep

description: Additional file 5: Table S3. KEGG pathway of DEGs.
DOI: 10.6084/m9.figshare.16879895.v1
title: Data_Openscience from Aneurysm risk metrics and hemodynamics are associated with greater vessel wall enhancement in intracranial aneurysms

description: Contains data supporting the analysis presented in the study
DOI: 10.6084/m9.figshare.20024787.v1
title: Additional file 1 of Gene network analysis reveals candidate genes related with the hair follicle development in sheep

description: Additional file 1: Table S1. Result Statistics of mRNA Genome Comparison. Mapping ratio=Mapped reads/All reads, Mapped Unique reads: reads that have only one position in the genome.
DOI: 10.6084/m9.figshare.20024808.v1
title: Additional file 8 of Gene network analysis reveals candidate genes related with the hair follicle development in sheep

description: Additional file 8: Table S4. GO analysis of K-means clusters.
DOI: 10.6084/m9.figshare.20024781.v1
title: Additional file 10 of Gene network analysis reveals candidate genes related with the hair follicle development in sheep

description: Additional file 10: Table S6. KEGG pathway of module in WGCNA.