cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/b69atb
title: Replication Data for: Sleep problems were unrelated to social media use in the late COVID-19 pandemic phase: A cross-national study

description: The purpose of the dataset is to enable the replication of results as reported in the article: 

Bonsaksen, T., Price, D., Lamph, G., Kabelenga, I., & Geirdal, A. Ø. (2025). Sleep problems were unrelated to social media use in the late COVID-19 pandemic phase: A cross-national study. PLOS ONE 20(1): e0318507. https://doi.org/10.1371/journal.pone.0318507. 

The data on sleep problems, psychosocial stress and social media use is uploaded as an SPSS file. Additional information to facilitate using the data can be found in the ReadMe file.
description: &lt;p&gt;The article aimed to explore the relationship between social media use and sleep problems in a cross-national sample two years after the pandemic began. It involved 1405 adults from four countries who completed an online survey. Statistical analyses included independent samples t-tests, Chi-Squared tests, and logistic regression. Among the 858 participants (61.1%) who reported recent sleep problems, 41.1% (353 individuals) attributed these issues to their COVID-19 experiences. Adjusting for age, gender, employment, and psychological distress showed that more hours of social media use were not significantly linked to sleep problems. However, being older, female, employed, and experiencing higher psychological distress were associated with more sleep issues.&lt;/p&gt;
description: SPSS, 27
DOI: 10.18710/etwncu/pwqxed
title: POPC-15mPs-H.dx
DOI: 10.18710/l0vpw7/ostmuo
title: SBL089_Subt2__5__10-03-34-400.txt
DOI: 10.18710/0vlslw/ndh4jl
title: survey_rating_scales.tsv

description: Tab-separated data table, annotated rating scales from literature survey
DOI: 10.18710/38hoyx/odofmt
title: ADRIA_JD_03_TPWS.mat

description: TPWS stands for "start Time, Peak-to-peak amplitude, Waveform, and Spectra parameters", therefore giving start times of detections, received level amplitudes (dBpeak-to-peak), waveforms and detection spectra of the detected clicks for the third recording period (from 06-09-20 to 12-22-20).
DOI: 10.18710/artntb/bnv50c
title: 00_ReadMe.txt
DOI: 10.18710/digqgq/pnsxak
title: U6.zip
DOI: 10.18710/gurhxd/57ooly
title: 06_Image_distancescores.pdf

description: Images of one part of the Excel sheet, where the data for one participant is compared to the optimal solution. The rows/colums in the Excel sheet that are shown are I303:S312; J317:S326 and J329:S339.
DOI: 10.18710/kfyvia/46an4o
title: denoise_dada2_table.qza
DOI: 10.18710/kfyvia/nqhac6
title: 03_dna_plots.R
DOI: 10.18710/l0vpw7/46be75
title: SBL256_C_Subt2__6__20-50-34-848.txt
DOI: 10.18710/l0vpw7/78u8p7
title: SBL153_A_Subt8__15__17-55-04-498.txt
DOI: 10.18710/l0vpw7/kqwsvg
title: SBL277_A_Subt2__5__21-43-04-656.txt
DOI: 10.18710/l0vpw7/mc5ktt
title: SBL154_A_Subt8__4__17-57-17-498.txt
DOI: 10.18710/l0vpw7/p1zppz
title: SBL195_Subt2__11__16-20-04-002.txt
DOI: 10.18710/l0vpw7/pfybpo
title: SBL027_b_Subt4__46__16-01-46-501.txt
DOI: 10.18710/l0vpw7/rt7b8y
title: SBL271_B_Subt2__9__21-16-19-646.txt
DOI: 10.18710/l0vpw7/w6t6er
title: SBL256_B_Subt2__23__20-47-36-847.txt
DOI: 10.18710/mbk9jf/5edgg3
title: load_data.m
DOI: 10.18710/mbk9jf/pfmb2e
title: re2500we20_23.tar
DOI: 10.18710/mbk9jf/w57xuz
title: re2500we20_18.tar
DOI: 10.18710/n1fi7e/1wqpqq
title: 20240122_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/hrlw6v
title: 20240119_NYA_REDOBS_glo.txt
DOI: 10.18710/n1fi7e/kadpq2
title: 20240203_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/mciw7p
title: 20240216_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/payxdu
title: 20240225_NYA_REDOBS_gps.txt
DOI: 10.18710/n1fi7e/pk5sfb
title: 20240314_NYA_REDOBS_glo.txt
DOI: 10.18710/n1fi7e/utwfps
title: 20240120_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/vfqjgm
title: 20240307_NYA_REDOBS_gps.txt
DOI: 10.18710/n1fi7e/x7slc3
title: 20240214_NYA_REDOBS_gal.txt
DOI: 10.18710/n4n1p4/lz4ffs
title: 04_EDS_1pH.tif
DOI: 10.18710/ow27b6/qazc1j
title: 007_RNA_vs_CN.R
DOI: 10.18710/paypjz/2jgqhv
title: Figure_6a.jpg

description: High-resolution version of Figure 6a.
DOI: 10.18710/pq0uwz/apxmd1
title: 20210926.txt
DOI: 10.18710/pq0uwz/ivxdjn
title: 20210908.txt
DOI: 10.18710/pq0uwz/ye3mtk
title: 20211123.txt
DOI: 10.18710/ugnife/yo4voi
title: PSGO_06.csv
DOI: 10.18710/ycurbq/tearxi
title: Figure3_temperature_cycle_baseline_corrected.txt
DOI: 10.18710/yqnsgq/nop1oh
title: Figure_13a-b.jpg

description: High-resolution version of Figure 13a-b.
DOI: 10.18710/digqgq/ymwmsq
title: NAIP.zip
DOI: 10.18710/l0vpw7/3fgklr
title: SBL274_B_Subt2__12__21-32-43-652.txt
DOI: 10.18710/l0vpw7/fgofp2
title: 00_README_file.txt

description: Readme file describing the data
DOI: 10.18710/l0vpw7/l7stl0
title: SBL029_Subt4__9__16-05-39-503.txt
DOI: 10.18710/l0vpw7/qi0jtn
title: SBL106_Subt2__11__18-15-46-785.txt
DOI: 10.18710/l0vpw7/qpa4wn
title: SBL110_Subt2__28__18-20-36-788.txt
DOI: 10.18710/n1fi7e/wxjfwr
title: 20240323_NYA_REDOBS_glo.txt
DOI: 10.18710/paypjz/4kdcne
title: Figure_6d.jpg

description: High-resolution version of Figure 6d.
DOI: 10.18710/paypjz/ca8ja4
title: Figure_1a-b.jpg

description: High-resolution version of Figure 1a-b.
DOI: 10.18710/1nbww5/prjyos
title: fig3.zip
DOI: 10.18710/9bbpgg/jheacf
title: Questionnaire-Norwegian.pdf
DOI: 10.18710/hmf7ee/3cxjya
title: 2NS-A-C_ASV-data.csv
DOI: 10.18710/hmf7ee/jrgdf5
title: 1A_TS-data.csv
DOI: 10.18710/ibbsgd/jtuemi
title: 03_2024_Vallakrebreen_Ortho.tif
DOI: 10.18710/ibbsgd/nocpji
title: 01_2023_Vallakrebreen_Images.zip
DOI: 10.18710/ibbsgd/r7qo5b
title: 02_2023_Scheelebreen_DEM.tif
DOI: 10.18710/j1k5xq/rcb5ps
title: 20240129_HOP_REDOBS_glo.txt
DOI: 10.18710/l0vpw7/bjcwdt
title: SBL150_B_Subt8__1__17-46-53-495.txt
DOI: 10.18710/l0vpw7/bxtbzn
title: sbl036_Subt4__5__13-21-15-141.txt
DOI: 10.18710/lbq4ds/p1txba
title: inrae_mod_min_3d.nc
DOI: 10.18710/lbq4ds/pydjrb
title: inrae_orig_min_3d.nc
DOI: 10.18710/n1fi7e/fuke4q
title: 20240309_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/g9jkju
title: 20240521_NYA_REDOBS_gps.txt
DOI: 10.18710/n1fi7e/khyxl0
title: 20240425_NYA_REDOBS_glo.txt
DOI: 10.18710/n1fi7e/nil4ed
title: 20240413_NYA_REDOBS_glo.txt
DOI: 10.18710/nmu63k
title: U–Pb geochronology of carbonates in western Spitsbergen and Bjørnøya, Svalbard

description: Results of U–Pb geochronological analysis of carbonates in Kongsfjorden, western Spitsbergen, and Bjørnøya (Svalbard, Norwegian Arctic). The dataset includes IsoplotR graphs (open-source software), location of laser spots, information about the reference materials, the GPS location of the samples, outcrop photographs of the samples and localities they were taken, rock unit and rock type.
-
-
-
-
description: IsoplotR, 2018
DOI: 10.18710/paypjz/s7yqt0
title: Figure_13.jpg

description: High-resolution version of Figure 13.
DOI: 10.18710/qxqgwb/9bamk8
title: 20240321_NYA_REDTEC_gal.txt
DOI: 10.18710/qxqgwb/9brv6u
title: 20240125_NYA_REDTEC_gal.txt
DOI: 10.18710/qxqgwb/efkun8
title: 20240321_NYA_REDTEC_gps.txt
DOI: 10.18710/qxqgwb/npvfyq
title: 20240228_NYA_REDTEC_glo.txt
DOI: 10.18710/qxqgwb/przfy4
title: 20240320_NYA_REDTEC_gps.txt
DOI: 10.18710/qxqgwb/uyzlex
title: 20240311_NYA_REDTEC_gal.txt
DOI: 10.18710/rvjqi4/yc2mfu
title: 00_ReadMe.txt

description: Technical details and variable descriptions.
DOI: 10.18710/vm0wkq/cdxlwu
title: Chromosome 10.csv

description: Contents: Gene (name of gene), 
 Gene ID (Ensemble ID of gene)
 Causal Estimate Least Squares (estimate of the causal effect of the gene on CAD using the least squares estimator), 
 Causal Estimate GMM (estimate of the causal effect of the gene on CAD using the Generalized method of moments estimator),
 se GMM (standard error of the GMM estimator estimated using bootstrapping methods),
 se Least Squares (standard error of the least squares estimator estimated using bootstrapping methods),
 p-value GMM (p-value of the GMM estimator), 
 p-value Least Squares (p-value of the least squares estimator),
 Causal Estimate MVIVW (estimate of the causal effect of the gene on CAD using multivariable Mendelian randomization via the inverse-variance method using the Mendelian Randomization package), 
 se MVIVW (standard error of the estimate for multivariable Mendelian randomization via the inverse-variance method using the Mendelian Randomization package),
 p-value MVIVW (p-value of the estimate for multivariable Mendelian randomization via the inverse-variance method using the Mendelian Randomization package), 
 Causal effect MR (causal effect using univariate Mendelian Randomization), 
 F_stat (conditional F-statistic calculated using the Mendelian Randomization package), 
 Q_stat (cochran's Q-statistic calculated using the Mendelian Randomization package), 
 Q_pval (p-value of the cochran's Q-statistic calculated using the Mendelian Randomization package), 
 lead SNP (the SNP with the lowest p-value in the GWAS summary data for the given locus, hence the most significant SNP), 
 position (position in base pairs of the lead SNP), 
 chromosome (chromosome of the lead SNP), 
 tissue (name of the tissue from where the expression levels of genes are considered in the MVMR causal analysis), 
 No of SNPs (number of SNPs in the MVMR causal analysis), 
 study (GWAS study ebi-a-GCST003116), 
 determinant of LD matrix (the determinant of the Linkage disequilibrium matrix of the SNPs considered in the MVMR causal analysis), 
 determinant of instruments strength matrix (the determinant of the covariance matrix of the instruments and the genes for the SNPs considered in the MVMR causal analysis), 
 LD threshold (maximum allowed LD between SNPs considered as instruments for the causal MVMR analysis).
 
 Purpose: Collection of all results in the MVMR analysis
DOI: 10.18710/vm0wkq/stkuxm
title: Chromosome 2.csv

description: Contents: Gene (name of gene), 
 Gene ID (Ensemble ID of gene)
 Causal Estimate Least Squares (estimate of the causal effect of the gene on CAD using the least squares estimator), 
 Causal Estimate GMM (estimate of the causal effect of the gene on CAD using the Generalized method of moments estimator),
 se GMM (standard error of the GMM estimator estimated using bootstrapping methods),
 se Least Squares (standard error of the least squares estimator estimated using bootstrapping methods),
 p-value GMM (p-value of the GMM estimator), 
 p-value Least Squares (p-value of the least squares estimator),
 Causal Estimate MVIVW (estimate of the causal effect of the gene on CAD using multivariable Mendelian randomization via the inverse-variance method using the Mendelian Randomization package), 
 se MVIVW (standard error of the estimate for multivariable Mendelian randomization via the inverse-variance method using the Mendelian Randomization package),
 p-value MVIVW (p-value of the estimate for multivariable Mendelian randomization via the inverse-variance method using the Mendelian Randomization package), 
 Causal effect MR (causal effect using univariate Mendelian Randomization), 
 F_stat (conditional F-statistic calculated using the Mendelian Randomization package), 
 Q_stat (cochran's Q-statistic calculated using the Mendelian Randomization package), 
 Q_pval (p-value of the cochran's Q-statistic calculated using the Mendelian Randomization package), 
 lead SNP (the SNP with the lowest p-value in the GWAS summary data for the given locus, hence the most significant SNP), 
 position (position in base pairs of the lead SNP), 
 chromosome (chromosome of the lead SNP), 
 tissue (name of the tissue from where the expression levels of genes are considered in the MVMR causal analysis), 
 No of SNPs (number of SNPs in the MVMR causal analysis), 
 study (GWAS study ebi-a-GCST003116), 
 determinant of LD matrix (the determinant of the Linkage disequilibrium matrix of the SNPs considered in the MVMR causal analysis), 
 determinant of instruments strength matrix (the determinant of the covariance matrix of the instruments and the genes for the SNPs considered in the MVMR causal analysis), 
 LD threshold (maximum allowed LD between SNPs considered as instruments for the causal MVMR analysis).
 
 Purpose: Collection of all results in the MVMR analysis
DOI: 10.18710/yqnsgq/1bsarz
title: Figure_16.jpg

description: High-resolution version of Figure 16.
DOI: 10.18710/yqnsgq/luitll
title: 00_ReadMe.txt

description: ReadMe file.
DOI: 10.18710/yqnsgq/mhu8n6
title: Figure_9a-c.jpg

description: High-resolution version of Figure 9a-c.
DOI: 10.18710/1nbww5/kvrrbd
title: fig1.zip
DOI: 10.18710/artntb/oz3c6j
title: MLcode.py
DOI: 10.18710/bzog3s/aefdps
title: scHSC_3_ST1_1.fq.gz
DOI: 10.18710/bzog3s/iud1qz
title: scHSC_2_ST3_1.fq.gz
DOI: 10.18710/digqgq/fw1m6v
title: LASP1.zip
DOI: 10.18710/digqgq/vfptta
title: CTNND1.zip
DOI: 10.18710/e9y4mu/go0h7e
title: Euro_all_noindel_nodik_noTF_miss20_noSiberia_nomono_biallelic.vcf

description: dataset1
DOI: 10.18710/etwncu
title: Replication data for: Solid-state-NMR validation of OPLS4 - Structure of PC-lipid bilayers and its modulation by dehydration

description: &lt;p&gt;The dataset contains solid-state Nuclear Magnetic Resonance (NMR) recordings at 500 MHz from ~25 mg samples of 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) in lamellar phase prepared at different hydration states (from 10 mass % to 50 mass %).&lt;/p&gt;

&lt;p&gt;For every sample we put R-type proton-detected local field (R-PDLF) recoupling experiments recorded with magic angle spinning (MAS) at 5 kHz. This type of experiment allows us to extract the absolute values of order parameters of every C-H bond. We also put 31P spectrum at both 0Hz and 5kHz spinning to verify the lipid phase state. Most of samples contains also recordings of 13C spectra recorded with high repetition number.&lt;/p&gt;

&lt;p&gt;Methodology is described in ReadMe in details.&lt;/p&gt;
description: TopSpin, 3.6.3
DOI: 10.18710/fj1ym4/bxzrgj
title: 02_Soil_mineral_N_replication_data.txt
DOI: 10.18710/gxmsuh/zsdynw
title: 02d_ccar_annotation_v5_gff3.txt
DOI: 10.18710/hmf7ee/ea5vhy
title: 2NS-B-C_TS-data.csv
DOI: 10.18710/hmf7ee/ivwt6e
title: 2NS-B_selected-plan.csv
DOI: 10.18710/hmf7ee/jupobv
title: 2SN-B-C_scenarios-found.csv
DOI: 10.18710/hmf7ee/o02upn
title: 2NS_ASV-data.csv
DOI: 10.18710/hmf7ee/qcr3oz
title: 2NS-A_TS-data.csv
DOI: 10.18710/hmf7ee/ufwept
title: 2SN-A_selected-plan.csv
DOI: 10.18710/hmf7ee/vekuvo
title: 1A-C_ASV-data.csv
DOI: 10.18710/mbk9jf/wjokrc
title: re2500we20_05.tar
DOI: 10.18710/n1fi7e/1pcnpd
title: 20240423_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/5uudsj
title: 20240113_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/9wzgy7
title: 20240216_NYA_REDOBS_gps.txt
DOI: 10.18710/n1fi7e/agjopg
title: 20240527_NYA_REDOBS_glo.txt
DOI: 10.18710/n1fi7e/awm1q1
title: 20240212_NYA_REDOBS_gps.txt
DOI: 10.18710/n1fi7e/fhmyxk
title: 20240511_NYA_REDOBS_gps.txt
DOI: 10.18710/n1fi7e/fif8nt
title: 20240615_NYA_REDOBS_glo.txt
DOI: 10.18710/n1fi7e/ktfozh
title: 20240414_NYA_REDOBS_glo.txt
DOI: 10.18710/n1fi7e/kw2co3
title: 20240422_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/q7zah5
title: 20240521_NYA_REDOBS_glo.txt
DOI: 10.18710/n1fi7e/uhi1y0
title: 20240519_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/unexvi
title: 20240415_NYA_REDOBS_gps.txt
DOI: 10.18710/n1fi7e/urx0cm
title: 20240620_NYA_REDOBS_gps.txt
DOI: 10.18710/n1fi7e/vatm3i
title: 20240105_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/wnhn6g
title: 20240606_NYA_REDOBS_gps.txt
DOI: 10.18710/n1fi7e/zzubqm
title: 20240126_NYA_REDOBS_glo.txt
DOI: 10.18710/pn7dza/cdruwt
title: re2500we10_04.tar
DOI: 10.18710/pn7dza/rkxwc7
title: re2500we10_23.tar
DOI: 10.18710/pq0uwz/abnl2q
title: 20210913.txt
DOI: 10.18710/qxprxf/bykeb1
title: Cleaned_data_after_EM_imputation.csv
DOI: 10.18710/rxiuhf/3ffuyr
title: 01_Ground_temperature_2.csv
DOI: 10.18710/rxiuhf/mhe3y8
title: 02_Labolatory_temperature_2.vi2
DOI: 10.18710/rxiuhf/ow3iqa
title: 03_Uniaxial_compression_B03_2.30-2.40_CL.txt
DOI: 10.18710/rxiuhf/svoad2
title: 03_Uniaxial_compression_B02_5.3-5.4_CSR.txt
DOI: 10.18710/te5zog/6pldyf
title: LearningToPredict_Data.RData

description: The data in RData format (readable in R)
DOI: 10.18710/xq81wh/cpvpiu
title: re2500weInf_18.tar
DOI: 10.18710/xq81wh/fbqjlb
title: re2500weInf_10.tar
DOI: 10.18710/zzasba/8yn1ng
title: train_subset.zip
DOI: 10.18710/zzasba/ci7fln
title: test_datasheet.csv

description: Comma separated table with "slide_id", "label", "img_name", and "split" columns for test subset
DOI: 10.18710/bzog3s/bjyvuf
title: scHSC_4_ST3_1.fq.gz
DOI: 10.18710/bzog3s/kp7ljf
title: scHSC_4_T3_1.fq.gz
DOI: 10.18710/bzog3s/nechiy
title: scHSC_3_T3_2.fq.gz
DOI: 10.18710/bzog3s/wgok4x
title: scHSC_3_T2_2.fq.gz
DOI: 10.18710/hmf7ee/uhjpy4
title: 1A-C_TS-data.csv
DOI: 10.18710/hmf7ee/wvrio0
title: 00_README.txt
DOI: 10.18710/mbk9jf/odluak
title: re2500we20_11.tar
DOI: 10.18710/qs8xhj/3ftxpp
title: 00_README_file.txt

description: The file contains the description of the dataset.
DOI: 10.18710/qsgwsj/oky95e
title: 07_3_RBacon_input.csv

description: Input for the rBacon script to generated the age-depth model for TV-1 based on data in "07_1" and "07_2".
DOI: 10.18710/qsgwsj/uyet7z
title: 06_3_PCA_corr_matrix.csv

description: The PCA correlation matrix based on the selected clr-transformed elements of "06_2".
DOI: 10.18710/rvjqi4/dvvf7j
title: growth.txt

description: Body length data.
DOI: 10.18710/rxiuhf/gvzcpn
title: 02_Labolatory_temperature_17.vi2
DOI: 10.18710/taul5v/t9vwfn
title: Stach_2024_Fig_4_PCA.txt
DOI: 10.18710/0vlslw/ombwd0
title: literature_results_agreement.tsv

description: Tab-separated data table, psychometric data in the literature on the agreement dimension
DOI: 10.18710/bzog3s
title: mRNA sequencing supplementary dataset to: The Effects of TGF-β-induced Activation and Starvation of Vitamin A and Palmitic Acid on Human Stem Cell-Derived Hepatic Stellate Cells

description: &lt;p&gt; The dataset contains high-throughput mRNA sequencing reads (FASTA files, extension .fq.gz) of human pluripotent stem cell-derived hepatic stellate cells (scHSCs). The sequencing was performed by the Novogene UK Cambridge Sequencing Center.&lt;/p&gt; 

&lt;p&gt; Hepatic stellate cells (HSCs) are hepatic pericytes. They exist in a quiescent state during homeostasis and transdifferentiate to an activated state during liver injury and disease. In the activated state, the HSCs are described as losing their vitamin A-storing lipid droplets. &lt;/p&gt; 

&lt;p&gt; Transforming growth factor beta 1 (TGF-b) is a potent activator of HSCs. Starvation of vitamin A (retinol) and lipid (palmitic acid) media supplementation has also been proposed to affect the HSC activation status.&lt;/p&gt;

&lt;p&gt; In this dataset, the mRNA of scHSCs derived from four different human pluripotent stem cell (hPSC) lines were sequenced by Novogene (see https://www.novogene.com/eu-en/). scHSCs from all hPSC lines were divided into four groups, each performed in technical triplicates, and treated for 48 hours to assess activation-related changes to the transcriptomes. The project aimed at providing novel information on the relationship between scHSC activation and vitamin A and lipids.&lt;/p&gt;

&lt;p&gt;The scHSCs treatments were: &lt;/p&gt;
&lt;p&gt;- "Control", meaning no treatment. &lt;/p&gt;
&lt;p&gt;- "Starvation", meaning starvation of retinol and palmitic acid media supplementation.&lt;/p&gt;
&lt;p&gt;- "TGFb", meaning treatment with 25 ng/mL TGF-b.&lt;/p&gt;
&lt;p&gt;- "Starvation + TGFb", combining the "Starvation" and "TGFb" treatments.&lt;/p&gt;
DOI: 10.18710/bzog3s/oaq3er
title: scHSC_3_S3_1.fq.gz
DOI: 10.18710/hmf7ee/ucxyze
title: 1B_ASV-data.csv
DOI: 10.18710/ib7llw
title: Supporting material for: Investigating the genetic basis of susceptibility to amoebic gill disease and gill lesions in Atlantic salmon populations using field data

description: Additional file 1 of manuscript titled "Investigating the genetic basis of susceptibility to amoebic gill disease and gill lesions in Atlantic salmon populations using field data", which is currently under review.
description: &lt;p&gt;Background:&lt;/p&gt; Gill-related morbidity and mortality are becoming a major concern to the Atlantic salmon industry worldwide. Understanding the genetic mechanism underlying susceptibility to gill diseases or lesions can help to guide mitigation efforts. Genome-wide association analysis was conducted on gill scores from two large cohorts of Atlantic salmon populations, reared in Norway and Canada, that were phenotyped during amoebic gill disease (AGD) outbreaks and at harvest (referred to as gill lesions), respectively.
&lt;p&gt;Results:&lt;/p&gt; While one novel quantitative trait locus (QTL) region on chromosome 2 was associated with susceptibility to AGD, two QTL regions on chromosomes 2 and 12 were associated with gill lesions. There was no overlap among QTL in these regions, and the lead variants explained between 3 to 10% of the genetic variance. Putative candidate genes identified within or close to the lead variants include tfeb, ZSCAN12l, and ifi44l, with the majority of these genes playing roles relating to immune functions. Fine-mapping the identified QTL region associated with AGD with re-sequence data, revealed a lead intergenic variant explaining 9% of the genetic variance. 
&lt;p&gt;Conclusions:&lt;/p&gt; Our results provide valuable insight into the genetic architecture of susceptibility to AGD and gill lesions and can help guide mitigation efforts.
description: GCTA, Version 1.94.2
DOI: 10.18710/lgcnka/jtqkn4
title: 04_PAI.csv

description: Plant area indices (PAI).
DOI: 10.18710/lgcnka/qcgkxn
title: 05_Light_transmission.csv

description: Transmission indices calculated both on a yearly basis and during the period from 1st of May to 31st of September
DOI: 10.18710/ltho8b/7lrejc
title: Figure_3_data.txt
DOI: 10.18710/ltho8b/u0ztlm
title: Figure_10.png
DOI: 10.18710/piz7h1/dxpimb
title: exo_methylene_spiro_nitroxides_dataset.zip

description: Complete dataset with compounds list.
DOI: 10.18710/qsgwsj/fcsicb
title: 08_accretion_rates.csv

description: Accretion rates calculated based on the results from "07_5"
DOI: 10.18710/qsgwsj/w4ckmj
title: S2.3_d13C_CN_transect_veg.csv

description: Stable isotopes of 13C and 15N and C/N data the vegetation samples of the salt marsh surface transect.
DOI: 10.18710/qsgwsj/xjlxeg
title: 04_1_GS_TV-1_averages.csv

description: The averages over 5 runs for each sample from core TV-1
DOI: 10.18710/rxiuhf/1x5z7e
title: 03_Uniaxial_compression_B02_3.8-3.9_CL.txt
DOI: 10.18710/rxiuhf/ava8ey
title: 02_Labolatory_temperature_4.vi2
DOI: 10.18710/rxiuhf/ejob9d
title: 03_Uniaxial_compression_B02_4.9-5.0_CL.txt
DOI: 10.18710/rxiuhf/hsoztx
title: 02_Labolatory_temperature_12.vi2
DOI: 10.18710/rxiuhf/naddhr
title: 03_Uniaxial_compression_B02_2.85-3.10_CSR.txt
DOI: 10.18710/tbe9fn/dqaw1c
title: inventory-smeerenbukta-1979.zip
DOI: 10.18710/te5zog/e14ulc
title: ltp_results.csv

description: the complete ‘raw’ data
DOI: 10.18710/te5zog/gm7fgb
title: 00_ReadMe_LearningToPredict.txt

description: Description of the project and the data
DOI: 10.18710/ugnife/gvqutw
title: PSGO_05.csv