cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/rxiuhf/lrsuzd
title: 03_Uniaxial_compression_B02_4.5-4.6_CL.txt
DOI: 10.18710/rxiuhf/lwoq3d
title: 03_Uniaxial_compression_B02_6.4-6.5_CL.txt
DOI: 10.18710/rxiuhf/sv2uyt
title: 03_Uniaxial_compression_B03_2.80-2.90_CL.txt
DOI: 10.18710/rxiuhf/xwy6ks
title: 02_Labolatory_temperature_6.vi2
DOI: 10.18710/rxiuhf/zamq64
title: 03_Uniaxial_compression_B01_2.20-2.35_CL.txt
DOI: 10.18710/t1vqla/fkm7vk
title: p1_Trial_Samples.txt
DOI: 10.18710/t1vqla/tzcxqf
title: _Simulation_Log_Sheet_8.csv
DOI: 10.18710/vm0wkq/dkfpsq
title: Chromosome 7.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 Least Squares/GMM (standard error of the least squares estimator and the GMM estimator, because the functional form is same, the standard error is same for both estimators),
 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/wd05dg/kwywpj
title: 00_ReadMe.txt

description: Description of data
DOI: 10.18710/dja6up/0vfyxu
title: 20240404_KHO_REDTEC_gps.txt
DOI: 10.18710/dja6up/jxghsu
title: 20240531_KHO_REDTEC_glo.txt
DOI: 10.18710/dja6up/tni4es
title: 20240605_KHO_REDTEC_gal.txt
DOI: 10.18710/gziuzl/gcbf9f
title: ECOSENS_HF22_C1_a.txt
DOI: 10.18710/gziuzl/jrdhwk
title: ECOSENS_HF23_VT74_meta.txt
DOI: 10.18710/ivua0a/dbebgn
title: 06_coll-profile_zählen_Lemma.txt
DOI: 10.18710/ivua0a/i2hkpi
title: 06_coll-profile_dienen_POS.png
DOI: 10.18710/ivua0a/mtkx1w
title: 07_coll-profile_klein_POS.png
DOI: 10.18710/ivua0a/qq7vyv
title: 07_coll-profile_heutig_Lemma.txt
DOI: 10.18710/ivua0a/uwgp3h
title: 07_coll-profile_unter_POS.txt
DOI: 10.18710/ivua0a/xncb76
title: 07_coll-profile_idyllisch_POS.txt
DOI: 10.18710/ivua0a/ytew7r
title: 06_coll-profile_besitzen_POS.png
DOI: 10.18710/t1vqla/4ncdzh
title: scan_path_p2.png
DOI: 10.18710/5eosvj/dswkxc
title: BeadpackDynamicsCTscans31-40.zip
DOI: 10.18710/5eosvj/j5bdsk
title: BeadpackDynamicsCTscans71-80.zip

description: :unav
DOI: 10.18710/5eosvj/m0ui9c
title: BeadpackDynamicsCTscans251-260.zip

description: :unav
DOI: 10.18710/5eosvj/sgnlfq
title: BeadpackDynamicsCTscans121-130.zip

description: :unav
DOI: 10.18710/5eosvj/wyrnzy
title: BeadpackDynamicsCTscans171-180.zip
DOI: 10.18710/arlx23/vr9tq0
title: 20240824_BJN_REDOBS_gal.txt
DOI: 10.18710/arlx23/y5tsgo
title: 20240725_BJN_REDOBS_glo.txt
DOI: 10.18710/dja6up/dhibha
title: 20240617_KHO_REDTEC_glo.txt
DOI: 10.18710/dja6up/i0rntu
title: 20240611_KHO_REDTEC_gps.txt
DOI: 10.18710/dja6up/sbkdje
title: 20240425_KHO_REDTEC_glo.txt
DOI: 10.18710/ivua0a/ttptuo
title: 06_coll-profile_erbauen_POS.txt
DOI: 10.18710/rxiuhf/xp9slf
title: 02_Labolatory_temperature_21.vi2
DOI: 10.18710/ti1e0o/lisb8l
title: 04_Medline.pdf

description: Search strategy in Medline
DOI: 10.18710/wd05dg/js4b47
title: 03_A_spatial_statistical_model_1_Jourdain_New_update.R

description: Spatial statistical rutting model with all explanatory variables (R codes)
DOI: 10.18710/xkccv1
title: Investigating rhoticity in Scottish Standard English with sociolinguistic interviews and corpus data: Auditory ratings

description: &lt;p&gt;The dataset is used in an article published in &lt;i&gt;World Englishes&lt;/i&gt;. In the article, I test and discuss methodological and theoretical implications of combining classic sociolinguistic interview data with data from a spoken corpus. Thus, the data combined in this set stem from two sources, as explained in the ReadMe:&lt;/p&gt;&lt;p&gt;Audio-recorded sociolinguistic interviews were conducted in Edinburgh, Scotland by Ole Schützler in March 2008, yielding the material labeled as "TX", "narrative", "questions" and "WL" in the dataset.&lt;/p&gt;&lt;p&gt;The genre "btal" was taken from the Scottish component of the International Corpus of English (ICE-Scotland), published here: https://github.com/langres/ICE-Scotland.&lt;/p&gt;&lt;p&gt;The annotation (manually corrected forced alignment) of ICE-Scotland was funded by the German Research Foundation / Deutsche Forschungsgemeinschaft (DFG), as specified below, in a project with Ulrike Gut and Ole Schützler as principal investigators and Zeyu Li and Jenny Herzky as research assistants.&lt;/p&gt;
description: Praat, 6.1.51
description: R, 4.1.1
description: RStudio, 2023.12.1
description: brms (R package), 2.16.1
description: rstan (R package), 2.21.2
description: StanHeaders (R package), 2.21.0.7
description: lattice (R package), 0.20-44
DOI: 10.18710/arlx23/szb9qg
title: 20240721_BJN_REDOBS_gal.txt
DOI: 10.18710/dja6up/bocbke
title: 20240622_KHO_REDTEC_gal.txt
DOI: 10.18710/ivua0a/6iubk4
title: 07_coll-profile_malerisch_Lemma.txt
DOI: 10.18710/ivua0a/cmjfyq
title: 06_coll-profile_gehören_POS.txt
DOI: 10.18710/ivua0a/fu0rjv
title: 07_coll-profile_jung_Lemma.png
DOI: 10.18710/ivua0a/jsrxfh
title: 06_coll-profile_beherbergen_Lemma.txt
DOI: 10.18710/ivua0a/o1b2kr
title: 07_coll-profile_weiter_POS.png
DOI: 10.18710/ivua0a/zvk9wl
title: 07_coll-profile_ganz_POS.png
DOI: 10.18710/5eosvj/aztttm
title: BeadpackDynamicsCTscans231-240.zip

description: :unav
DOI: 10.18710/5eosvj/kgll8s
title: BeadpackDynamicsCTscans181-190.zip

description: :unav
DOI: 10.18710/arlx23/0coloz
title: 20240825_BJN_REDOBS_gps.txt
DOI: 10.18710/dja6up/4cxvig
title: 20240901_KHO_REDTEC_gal.txt
DOI: 10.18710/gziuzl/g05t8d
title: ECOSENS_GF21_7_ocean_radiance.txt
DOI: 10.18710/gziuzl/vwjgcx
title: ECOSENS_LF22_1_ocean_radiance.txt
DOI: 10.18710/ivua0a/0s3a5b
title: 07_coll-profile_mächtig_Lemma.txt
DOI: 10.18710/ivua0a/1k8h30
title: 06_coll-profile_gehören_POS.png
DOI: 10.18710/ivua0a/cvvoju
title: 06_coll-profile_beginnen_POS.txt
DOI: 10.18710/ivua0a/poqstc
title: 07_coll-profile_heutig_POS.txt
DOI: 10.18710/ivua0a/sf5w2s
title: 07_coll-profile_besonder_POS.txt
DOI: 10.18710/ivua0a/suunmp
title: 07_coll-profile_einstig_Lemma.txt
DOI: 10.18710/ivua0a/ut6ln0
title: 06_coll-profile_finden_Lemma.png
DOI: 10.18710/ivua0a/wq6gaa
title: 05_coll_PBxin_patterns.csv
DOI: 10.18710/ivua0a/39ah9k
title: 07_coll-profile_idyllisch_Lemma.txt
DOI: 10.18710/5eosvj/c40iah
title: BeadpackDynamicsCTscans281-290.zip
DOI: 10.18710/5eosvj/h6hzlu
title: 00_README.txt

description: :unav
DOI: 10.18710/5eosvj/laq08l
title: BeadpackDynamicsCTscans211-220.zip
DOI: 10.18710/5eosvj/o4khac
title: BeadpackDynamicsCTscans291-300.zip

description: :unav
DOI: 10.18710/5eosvj/s1hxkf
title: BeadpackDynamicsCTscans251-260.zip
DOI: 10.18710/5eosvj/wf4eod
title: BeadpackDynamicsCTscans121-130.zip

description: :unav
DOI: 10.18710/5eosvj/wrnvso
title: Bentheimer_dynamics.zip

description: Fast CT scans of two-phase fluid flow in Benthimer.
DOI: 10.18710/arlx23/pvr08k
title: 20240817_BJN_REDOBS_gal.txt
DOI: 10.18710/arlx23/rl1kre
title: 20240804_BJN_REDOBS_glo.txt
DOI: 10.18710/arlx23/suh73m
title: 20240717_BJN_REDOBS_gps.txt
DOI: 10.18710/bykhxy/3edrfk
title: 05_pH.csv
DOI: 10.18710/ivua0a/0rdvwu
title: 07_coll-profile_barock_Lemma.png
DOI: 10.18710/ivua0a/4yqjci
title: 07_coll-profile_jüdisch_POS.png
DOI: 10.18710/ivua0a/5acueu
title: 07_coll-profile_jung_POS.png
DOI: 10.18710/ivua0a/9cdexd
title: 06_coll-profile_bestehen_Lemma.png
DOI: 10.18710/ivua0a/bixdc5
title: 07_coll-profile_mächtig_POS.png
DOI: 10.18710/ivua0a/d44631
title: 06_coll-profile_dienen_Lemma.txt
DOI: 10.18710/ivua0a/dla3aq
title: 07_coll-profile_beliebt_Lemma.png
DOI: 10.18710/ivua0a/f0x9jp
title: 07_coll-profile_letzt_Lemma.png
DOI: 10.18710/ivua0a/fkhrbi
title: 06_coll-profile_zeigen_Lemma.txt
DOI: 10.18710/ivua0a/hrpgf8
title: 07_coll-profile_deutsch_Lemma.png
DOI: 10.18710/ivua0a/ibgpxz
title: 06_coll-profile_stammen_POS.png
DOI: 10.18710/ivua0a/jqbevf
title: 07_coll-profile_langADJA_Lemma.txt
DOI: 10.18710/ivua0a/jtnfog
title: 07_coll-profile_Zahladj_POS.png
DOI: 10.18710/ivua0a/lemkkc
title: 06_coll-profile_einladen_POS.txt
DOI: 10.18710/ivua0a/livxv5
title: 06_coll-profile_gehören_Lemma.png
DOI: 10.18710/ivua0a/lqwdtu
title: 07_coll-profile_deutsch_Lemma.txt
DOI: 10.18710/ivua0a/sqgak4
title: 07_coll-profile_weiter_POS.txt
DOI: 10.18710/ivua0a/stbefe
title: 06_coll-profile_stammen_POS.txt
DOI: 10.18710/ivua0a/syl21u
title: 06_coll-profile_treffen_Lemma.png
DOI: 10.18710/ivua0a/t8ins2
title: 06_coll-profile_treffen_Lemma.txt
DOI: 10.18710/ivua0a/tan3hv
title: 07_coll-profile_repräsentativ_POS.png
DOI: 10.18710/ivua0a/u91qxg
title: 06_coll-profile_erinnern_POS.txt
DOI: 10.18710/ivua0a/u9npsi
title: 06_coll-profile_lohnen_POS.png
DOI: 10.18710/ivua0a/ucdq2o
title: 07_coll-profile_gotisch_POS.png
DOI: 10.18710/ivua0a/urrcpp
title: 07_coll-profile_steil_POS.png
DOI: 10.18710/ivua0a/vehul6
title: 07_coll-profile_gleichADJD_POS.png
DOI: 10.18710/ivua0a/vkrocw
title: 07_coll-profile_grün_POS.png
DOI: 10.18710/ivua0a/vqntzx
title: 06_coll-profile_erreichen_POS.png
DOI: 10.18710/ivua0a/wt7uvm
title: 06_coll-profile_beginnen_Lemma.txt
DOI: 10.18710/leklrn/8rklaw
title: E19_SFA_data.zip

description: Data from surface forces apparatus (SFA) experiment E19. This folder includes: Cam – images from the top view camera; DC – images of dry contact between the confining surfaces, wavelength range given for the white light interferometric fringes applies to the whole experiment; SG – force signal from the strain gage force sensor in mV/V, has to be converted to force in N/m using a conversion factor SG_force= -(SG_signal-baseline)*(1/SG_slope)*g)/R where SG_slope is 8.4724 (mV/V)/g; R is radius of curvature of SFA half-cylinders equal to 0.02m; g = 9.807*1e-3 N/g and SG_signal is the measured strain gage signal, baseline is the mean strain gage signal value before applying load, accessed from the initial part of SG data in the folder load in each experiment; FECO – white light interferometric fringes data, wavelength range is the same as for the dry contact picture in the folder DC; Inject – Data acquired for surfaces in contact during solution injection phase; Load - Data acquired for surfaces when placing them in contact under applied load in air; Chrono – Data acquired during application of the negative electrochemical potential with the negative potential value indicated in the folder name (given vs. Ag/AgCl).
DOI: 10.18710/leklrn/cqitte
title: E05_SFA_data.zip

description: Data from surface forces apparatus (SFA) experiment E05. This folder includes: Cam – images from the top view camera; DC – images of dry contact between the confining surfaces, wavelength range given for the white light interferometric fringes applies to the whole experiment; SG – force signal from the strain gage force sensor in mV/V, has to be converted to force in N/m using a conversion factor SG_force= -(SG_signal-baseline)*(1/SG_slope)*g)/R where SG_slope is 8.4724 (mV/V)/g; R is radius of curvature of SFA half-cylinders equal to 0.02m; g = 9.807*1e-3 N/g and SG_signal is the measured strain gage signal, baseline is the mean strain gage signal value before applying load, accessed from the initial part of SG data in the folder load in each experiment; FECO – white light interferometric fringes data, wavelength range is the same as for the dry contact picture in the folder DC; Inject – Data acquired for surfaces in contact during solution injection phase; Load - Data acquired for surfaces when placing them in contact under applied load in air; Chrono – Data acquired during application of the negative electrochemical potential with the negative potential value indicated in the folder name (given vs. Ag/AgCl).
DOI: 10.18710/leklrn/ljodpe
title: E04_SFA_data.zip

description: Data from surface forces apparatus (SFA) experiment E04. This folder includes: Cam – images from the top view camera; DC – images of dry contact between the confining surfaces, wavelength range given for the white light interferometric fringes applies to the whole experiment; SG – force signal from the strain gage force sensor in mV/V, has to be converted to force in N/m using a conversion factor SG_force= -(SG_signal-baseline)*(1/SG_slope)*g)/R where SG_slope is 8.4724 (mV/V)/g; R is radius of curvature of SFA half-cylinders equal to 0.02m; g = 9.807*1e-3 N/g and SG_signal is the measured strain gage signal, baseline is the mean strain gage signal value before applying load, accessed from the initial part of SG data in the folder load in each experiment; FECO – white light interferometric fringes data, wavelength range is the same as for the dry contact picture in the folder DC; Inject – Data acquired for surfaces in contact during solution injection phase; Load - Data acquired for surfaces when placing them in contact under applied load in air; Chrono – Data acquired during application of the negative electrochemical potential with the negative potential value indicated in the folder name (given vs. Ag/AgCl).
DOI: 10.18710/leklrn/p5kges
title: 02_Supplementary_SFA_movies.zip

description: This folder contains supplementary movies from the surface forces apparatus experiments (SFA) from the top SFA camera of calcium carbonate precipitation under confinement.
DOI: 10.18710/leklrn/wvcyqm
title: E18_SFA_data.zip

description: Data from surface forces apparatus (SFA) experiment E18. This folder includes: Cam – images from the top view camera; DC – images of dry contact between the confining surfaces, wavelength range given for the white light interferometric fringes applies to the whole experiment; SG – force signal from the strain gage force sensor in mV/V, has to be converted to force in N/m using a conversion factor SG_force= -(SG_signal-baseline)*(1/SG_slope)*g)/R where SG_slope is 8.4724 (mV/V)/g; R is radius of curvature of SFA half-cylinders equal to 0.02m; g = 9.807*1e-3 N/g and SG_signal is the measured strain gage signal, baseline is the mean strain gage signal value before applying load, accessed from the initial part of SG data in the folder load in each experiment; FECO – white light interferometric fringes data, wavelength range is the same as for the dry contact picture in the folder DC; Inject – Data acquired for surfaces in contact during solution injection phase; Load - Data acquired for surfaces when placing them in contact under applied load in air; Chrono – Data acquired during application of the negative electrochemical potential with the negative potential value indicated in the folder name (given vs. Ag/AgCl).
DOI: 10.18710/lmnlau
title: Grunnlagsdata for studier av littiske studier av funn fra Auravassdraget

description: Grunnlagsdata for rapporten "Steinalderens råstoffbruk i de sørnorske fjelltraktene. Analyse av littisk materiale fra Auravassdraget" av Lotte Eigeland, Kulturhistorisk museum, UiO. Rapporten er tilgjengelig på https://www.duo.uio.no/handle/10852/109918.
Rapporten er utarbeidet innenfor rammene av prosjektet "Kulturmøter i Auravassdraget" som er finansiert av ordningen "Sektoravgift for kulturminner i tidlig neddemte vassdrag". Prosjektet er et samarbeid mellom Kulturhistorisk museum, Innlandet fylkeskommune, NTNU Vitenskapsmuseet, Møre og Romsdal fylkeskommune og Sametinget.
description: &lt;p&gt;&lt;/p&gt; 
Samendrag: 
&lt;p&gt;I denne rapporten har vi fått utnyttet noe av det store kunnskapspotensialet som ligger i råstoffsvariasjonen ved Auravassdraget. En klassifisering opp mot et kjent referansesystem har vist at det er mulig å identifisere typer etter en standardisert mal som er sammenlignbar og etterprøvbar. Dette gjør at vi kan diskutere råstoffsammensetningen ved Auravassdraget både i et lokalt, men også i et mye større geografisk perspektiv. Vi har nå identifisert hvilke råstoff som er mest brukt ved Auravassdraget, og vi vet hvilke som er mer sjeldne. Dette er viktig grunnforskning som kan brukes i framtidige undersøkelser. Aurvassdraget har for eksempel en helt annen råstoffsammensetning, når vi ser på individuelle typer, enn innsjøer som Osensjøen og Røgden, samt Rena elv lenger sør i Innlandet fylke. Dette viser nok at disse områdene ikke ble utnyttet av de samme folkene, men at det var kontakt mellom områdene, synes det ikke å være noen tvil om. Vi har også identifisert typiske råstoff som finnes ved Aurvassdraget ved Mørekysten. Kontakt mellom Mørekysten og Auravassdraget synes helt klar. &lt;/p&gt;

&lt;p&gt;Oppdagelsen eller “gjenoppdagelsen” av kleberstein, asbest og serpentinitt til å lage spisser i Øst-Norge er viktig. I framtiden vil vi være mer obs på å skille disse råstoffene fra skiferspisser. Materialene er mykere enn skifer og formes dermed på en annen måte. Disse spissene er identifisert ved Mørekysten og kan vise til kontakt med Auravassdraget. &lt;/p&gt;

&lt;p&gt;Materialet fra Auravassdraget egner seg også svært godt til videre studier av flatehuggingsteknologi og flateretusjering av spisser, og det er helt nødvendig å få en bedre oversikt over innflytelsene mellom en innlandsteknologi og den som finnes ved kysten. Kan det også være tidlig flatehuggingsteknologi i dette området?&lt;/p&gt;

&lt;p&gt;I dette arbeidet har råstoff og teknologi blitt undersøkt med et enhetlig blikk for å gi en samlet og standardisert framstilling av resultatene. Auravassdraget ligger i to forskjellige museumsdistrikt, og funn og råstoff har fram til nå blitt presentert og beskrevet på ulike måter. Et videre arbeid med Auravassdraget er også en god mulighet for å knytte museumstradisjoner nærmere sammen, slik at vi kan utveksle nødvendig informasjon og lære av hverandre.&lt;/p&gt;
description: Artax (XRF data), 8.0.0476
description: Excel, 2308
DOI: 10.18710/r9izsv/bz2g5k
title: ComplexWordProcessing_20211004.csv
DOI: 10.18710/rxiuhf/71seqe
title: 03_Uniaxial_compression_B03_2.6-2.7_CL.txt
DOI: 10.18710/rxiuhf/o0v1qf
title: 03_Uniaxial_compression_B01_2.00-2.20_CSR.txt
DOI: 10.18710/rxiuhf/ytbbxx
title: 02_Labolatory_temperature_5.vi2
DOI: 10.18710/ti1e0o/ruwrel
title: 01_Cinahl.pdf

description: Search strategy in CINAHL
DOI: 10.18710/uzoub0/xf2ss5
title: GEDI.prj
DOI: 10.18710/uzoub0/y415wm
title: DEM_2020.tif

description: Ellipsoidal elevation 2020 based on TanDEM-X processing
DOI: 10.18710/vm0wkq/qtcgf7
title: Chromosome 19.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 Least Squares/GMM (standard error of the least squares estimator and the GMM estimator, because the functional form is same, the standard error is same for both estimators),
 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/ybpbsk
title: Municipalities in Norway offering free or subsidized school meal programs to pupils in primary and secondary schools in 2024

description: Based on active replies to an email sent to all municipalities in Norway, this dataset contains information about municipalities in Norway that offered free or subsidized school meals to pupils in primary and secondary schools in 2024.
DOI: 10.18710/arlx23/588rp2
title: 20240831_BJN_REDOBS_glo.txt
DOI: 10.18710/arlx23/gtijsw
title: 20240914_BJN_REDOBS_gal.txt
DOI: 10.18710/arlx23/klaido
title: 20240807_BJN_REDOBS_gps.txt
DOI: 10.18710/arlx23/uzebfi
title: 20240826_BJN_REDOBS_gps.txt
DOI: 10.18710/arlx23/wcl5i3
title: 20240715_BJN_REDOBS_gps.txt
DOI: 10.18710/arlx23/xn4dec
title: 20240701_BJN_REDOBS_gal.txt
DOI: 10.18710/arlx23/yngjbd
title: 20240904_BJN_REDOBS_gal.txt
DOI: 10.18710/ivua0a/m7tdbb
title: 07_coll-profile_steil_Lemma.txt
DOI: 10.18710/ivua0a/veulxt
title: 06_coll-profile_befinden_Lemma.png