cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/tgrolw/z7pt84
title: 20230325_NYA_REDTEC_gal.txt
DOI: 10.18710/tynihf/1pemw5
title: 20231006_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/9t5iqd
title: 20230927_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/b0ei9u
title: 20230831_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/g7hw2b
title: 20230723_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/i1rp8l
title: 20230920_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/wmjjys
title: 20230918_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/x4ag1z
title: 20230730_HOP_REDTEC_gps.txt
DOI: 10.18710/umdoq0/ddogmi
title: 20230406_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/dtdbe1
title: 20230407_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/eydbaw
title: 20230530_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/funhfi
title: 20230209_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/i6snex
title: 20230724_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/iwqxe6
title: 20230107_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/jghqoh
title: 20230413_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/ptb8jx
title: 20230507_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/u88p90
title: 20230607_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/x5zy5k
title: 20230516_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/xqrxoz
title: 20230520_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/yd6sif
title: 20230507_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/zenca7
title: 20230526_KHO_REDTEC_glo.txt
DOI: 10.18710/tgrolw/szwzwd
title: 20230205_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/zfkb0t
title: 20230120_NYA_REDTEC_glo.txt
DOI: 10.18710/umdoq0/d7ugvn
title: 20230628_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/ulklle
title: 20230627_KHO_REDTEC_gal.txt
DOI: 10.18710/8acz2a/7mvtvn
title: Information_and_Consent_to_participate.pdf
DOI: 10.18710/n1fi7e/9gviz0
title: 20241129_NYA_REDOBS_gps.txt
DOI: 10.18710/n1fi7e/dv4jv7
title: 20241103_NYA_REDOBS_gps.txt
DOI: 10.18710/n1fi7e/i0b6vg
title: 20241123_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/phkimf
title: 20241116_NYA_REDOBS_gps.txt
DOI: 10.18710/n1fi7e/uipilg
title: 20241216_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/v3ujms
title: 20241203_NYA_REDOBS_glo.txt
DOI: 10.18710/ozpaww/agd2ee
title: 20240205_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/e7pfcv
title: 20240114_BJN_REDTEC_gal.txt
DOI: 10.18710/tynihf/9nnapv
title: 20230802_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/ai3iti
title: 20230907_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/jvu4w2
title: 20230917_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/obmauu
title: 20230903_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/pyy5pn
title: 20230822_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/votfin
title: 20230824_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/vswvyw
title: 20230807_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/wrsywh
title: 20230714_HOP_REDTEC_glo.txt
DOI: 10.18710/umdoq0/21dfxa
title: 20230529_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/2dcgdk
title: 20230422_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/lsm2wf
title: 20230630_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/lzaqzi
title: 20230621_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/m0zwhn
title: 20230519_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/psdvcd
title: 20230509_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/quix47
title: 20230421_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/uaiwpa
title: 20230414_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/ykiquv
title: 20230602_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/yrqbho
title: 20230517_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/yydzrm
title: 20230513_KHO_REDTEC_gal.txt
DOI: 10.18710/vm0wkq/qhsg75
title: Chromosome 15.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/n1fi7e/a4kkzf
title: 20241228_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/epkq0w
title: 20241201_NYA_REDOBS_glo.txt
DOI: 10.18710/n1fi7e/kdampu
title: 20241124_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/n4mayj
title: 20241110_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/oihanz
title: 20241218_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/ra6rfz
title: 20241217_NYA_REDOBS_gps.txt
DOI: 10.18710/ozpaww/1jqccg
title: 20240312_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/kpf0ve
title: 20240129_BJN_REDTEC_gps.txt
DOI: 10.18710/ozpaww/p31htx
title: 20240109_BJN_REDTEC_gal.txt
DOI: 10.18710/tgrolw/2lkj38
title: 20230203_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/gzarcd
title: 20230115_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/jvndlf
title: 20230221_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/kyfno8
title: 20230312_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/ls43pl
title: 20230303_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/qtbl2l
title: 20230222_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/rhphzn
title: 20230116_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/rncrxe
title: 20230326_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/skyaqg
title: 20230308_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/t3wwjw
title: 20230221_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/u1rhdf
title: 20230622_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/vom4z4
title: 20230101_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/vs116k
title: 20230310_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/x7oisl
title: 20230302_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/xevmmb
title: 20230225_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/xq13t2
title: 20230317_NYA_REDTEC_gal.txt
DOI: 10.18710/tynihf/1fa697
title: 20230803_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/4tzu0h
title: 20230919_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/5ex4ra
title: 20230803_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/84tpx1
title: 20230820_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/beqvpr
title: 20230804_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/j1rqkg
title: 20230912_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/lmjkqh
title: 20230929_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/spnk60
title: 20230731_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/uepjew
title: 20230817_HOP_REDTEC_gps.txt
DOI: 10.18710/n1fi7e/jhukrs
title: 20241127_NYA_REDOBS_gal.txt
DOI: 10.18710/ozpaww/yebxk9
title: 20240325_BJN_REDTEC_gps.txt
DOI: 10.18710/tgrolw/481fmo
title: 20230216_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/6sndug
title: 20230522_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/megnft
title: 20230605_NYA_REDTEC_glo.txt
DOI: 10.18710/tynihf/lvh4uw
title: 20230711_HOP_REDTEC_gal.txt
DOI: 10.18710/0vlslw/fjms72
title: literature_results_probability.tsv

description: Tab-separated data table, psychometric data in the literature on the probability dimension
DOI: 10.18710/0vlslw/rsfbh2
title: literature_results_frequency.tsv

description: Tab-separated data table, psychometric data in the literature on the frequency dimension
DOI: 10.18710/b553mb/vgv45b
title: 03_Ortho_20230812_Glacier.tif
DOI: 10.18710/ibbsgd/w1gnu4
title: 00_Readme.txt
DOI: 10.18710/lbq4ds/0vmznv
title: fjord_high.nc
DOI: 10.18710/lbq4ds/cxocjv
title: HCMR.nc
DOI: 10.18710/n1fi7e/nsgezf
title: 20241208_NYA_REDOBS_gps.txt
DOI: 10.18710/n1fi7e/pjrayy
title: 20241027_NYA_REDOBS_gps.txt
DOI: 10.18710/n1fi7e/wjzkfx
title: 20241007_NYA_REDOBS_glo.txt
DOI: 10.18710/ozpaww/2ffv2j
title: 20240106_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/36wcw7
title: 20240203_BJN_REDTEC_gps.txt
DOI: 10.18710/ozpaww/8diqj9
title: 20240314_BJN_REDTEC_gps.txt
DOI: 10.18710/ozpaww/a0yrti
title: 20240313_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/hvxzuu
title: 20240329_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/v6gxgi
title: 20240103_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/y2futq
title: 20240121_BJN_REDTEC_gal.txt
DOI: 10.18710/qs8xhj/ufcpox
title: Folder_04.zip

description: This folder contains books on photography written in Ottoman Turkish. It consists of 24 pdf files. The files are named numerically, following the "tur_bo_", which stands for Turkish books.
DOI: 10.18710/qsgwsj/2cuzu8
title: 01_Tidal_logger_data.csv

description: Tidal logger data over the period of October 2023 - December 2023
DOI: 10.18710/qsgwsj/nqncrp
title: 04_3_GS_TV-1_Folk_Ward.csv

description: Summary of the data from "04_2"
DOI: 10.18710/t1vqla/jcnj4c
title: p7_Trials_Samples.txt
DOI: 10.18710/t1vqla/riwqpr
title: savedrecs_12.txt
DOI: 10.18710/taul5v/nlfcnw
title: Stach_2024_Table_1_stratigraphy.txt
DOI: 10.18710/taul5v/u73qc8
title: Stach_2024_Suppl_Fig_4_CS_EMs.txt
DOI: 10.18710/tgrolw/32dgj7
title: 20230421_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/4bciea
title: 20230520_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/9eywux
title: 20230611_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/azpold
title: 20230619_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/bqs9ki
title: 20230520_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/c3mzfk
title: 20231227_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/eqw9kn
title: 20230409_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/xmfjke
title: 20230424_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/zbgup4
title: 20230829_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/zt1afx
title: 20230614_NYA_REDTEC_glo.txt
DOI: 10.18710/tynihf/5hmxne
title: 20230810_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/aqzesf
title: 20230924_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/db5cjl
title: 20230812_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/lvnrdx
title: 20230711_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/p7cbhi
title: 20230915_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/vk01uf
title: 20230920_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/vpqofe
title: 20230825_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/vwm1ur
title: 20230703_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/xyles9
title: 20231226_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/yttv8w
title: 20231102_HOP_REDTEC_glo.txt
DOI: 10.18710/umtmdo/psjqla
title: 00_README.txt

description: Readme-file
DOI: 10.18710/vm0wkq/ylwqhg
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 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/zvzpfx
title: Chromosome 11.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/dkbkug
title: Figure_6a.jpg

description: High-resolution version of Figure 6a.
DOI: 10.18710/yqnsgq/lwv70d
title: Figure_12.jpg

description: High-resolution version of Figure 12.
DOI: 10.18710/yqnsgq/mmfb2w
title: Figure_1b.jpg

description: High-resolution version of Figure 1b.
DOI: 10.18710/0vlslw/ve9rmp
title: 00_ReadMe_ordinal_response_scales.txt

description: Text file containing documentation of the dataset
DOI: 10.18710/aa7qla
title: Replication Data and Code for: Sustainable development: Notions, Numbers, and Narratives

description: The related publication contributes to the theoretical knowledge of sustainable development operationalized in a sustainable development space based on three sustainable development imperatives: needs, justice, and limits. The space is constituted by six primary goals with associated key indicators and thresholds. This dataset documents the data collection of these indicators, and the data processing and analysis to group countries into sustainable development clusters and calculating numerical traits for each cluster. These clusters are used in the description of the sustainable development narratives in the related publication. All files needed to reproduce our findings, from downloading data to exporting the results, are provided. For guidance on reproduction, see the "00_README.txt"-file.
description: R, 4.4.1
description: RStudio, 2024.09.0+375
description: Quarto, 1.4.553
description: Available in the file "code_data/sus_dev_space_2_data_download"
.qmd for running the code.
.html for reviewing code and references.
DOI: 10.18710/rzpksg
title: Replication Data for: Trail cameras can greatly inflate nest predation rates

description: These datasets and R-script relate to the analyses of a two year Tundra experiment that aimed to assess the effect of using trail-cameras on artificial nests to document predator identity and their predation rates. This study is published in The Journal of Wildlife Management.

ABSTRACT
Photographic monitoring currently provides the most accurate means for identifying nest predators and eventually their role in bird population declines worldwide. However, previous studies have found that such monitoring with use of commercially -available trail cameras represent an artificial structure near nests that often tendd to negatively bias predation rates, likely through predator neophobia. Based on an experiment in Arctic tundra, involving 50 artificial nests and 30 cameras in each of 2 breeding seasons, we here demonstrated that trail cameras rather attractedattracted corvids (in particular ravens), which caused an extreme andly, positively biased predation rate that was consistent over a range of experimental and environmental conditions. We call for new technologies that allow for photographic monitoring of bird nests with minimal visual footprints, in the form of smaller cameras and more efficient internal batteries to minimize novel and conspicuous external features detectable by predators. However, even such improved devices need to be assessed with respect to potential effects on nest predation in each case.
KEYWORDS Arctic tundra, bird population decline, climate change, corvids, monitoring, raven.
description: R, R version 4.1.3 -- "One Push-Up"
DOI: 10.18710/t1vqla/0kijct
title: savedrecs_10.txt
DOI: 10.18710/t1vqla/5mtpbg
title: 3_5_2023_D.csv
DOI: 10.18710/t1vqla/7rnnxe
title: _Simulation_Log_Sheet_1.csv
DOI: 10.18710/t1vqla/eoaz2a
title: 4_5_2023_G.csv
DOI: 10.18710/t1vqla/ltijgo
title: 4_5_2023_A_Ship_Dynamics.csv
DOI: 10.18710/t1vqla/rdxrgb
title: p4_CustomTrial_Samples.txt
DOI: 10.18710/t1vqla/rzz9mj
title: p2_Trial_Samples.txt
DOI: 10.18710/ivua0a/2keqew
title: 06_coll-profile_führen_Lemma.txt
DOI: 10.18710/m2rtdj/ni0scw
title: EANSsustainability.txt

description: Dataset used to calculate the greenhouse gas emissions for two academic events of the European Academy of Nursing Science as reported in 'A behaviour change strategy to reduce
greenhouse gas emissions from
international scientific conferences and
meetings' published as Richards et al npjclimateaction 2024
DOI: 10.18710/t1vqla/cap7lk
title: 00_ReadMe_Main.txt
DOI: 10.18710/t1vqla/czuesv
title: _Simulation_Log_Sheet_2.csv
DOI: 10.18710/t1vqla/j2anrj
title: focus_map_p4.png
DOI: 10.18710/t1vqla/n2dfex
title: savedrecs_11.txt
DOI: 10.18710/t1vqla/n30df1
title: Simulator_Notes__05_2023.docx
DOI: 10.18710/t1vqla/pp8tbs
title: p8_CustomTrial_Samples.txt
DOI: 10.18710/t1vqla/sezygf
title: savedrecs.txt
DOI: 10.18710/t1vqla/uddhmq
title: p9_CustomTrial_Samples.txt
DOI: 10.18710/tgrolw/exhm9y
title: 20230530_NYA_REDTEC_gps.txt
DOI: 10.18710/umdoq0/4xvxyy
title: 20230524_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/7azh3c
title: 20230614_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/8okzqj
title: 20230612_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/8uwzsh
title: 20230613_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/amlwtb
title: 20230528_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/fg4pho
title: 20230525_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/h9sfcw
title: 20230528_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/j33db2
title: 20230503_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/j5bldu
title: 20230501_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/kwyw68
title: 20230606_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/lnjx4s
title: 20230414_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/mzzrll
title: 20230521_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/omjqdp
title: 20230414_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/ozvihv
title: 20230706_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/s2zjkn
title: 20230804_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/wgge1x
title: 20230404_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/wp15ml
title: 20230901_KHO_REDTEC_gps.txt
DOI: 10.18710/5eosvj/lmnkmj
title: BeadpackDynamicsCTscans41-50.zip
DOI: 10.18710/gziuzl/joi6eo
title: ECOSENS_GF21_7_ocean_irradiance.txt
DOI: 10.18710/qs8xhj/bdcow1
title: 0_Publication_list_01.txt

description: The file contains the list of the data provided on the first page of the 0_Publication_list.xlsx file.
DOI: 10.18710/qs8xhj/ist88i
title: Folder_02.zip

description: This folder contains books on photography written in Western Armenian. It consists of 5 pdf files. The files are named numerically, following the "arm_bo_", which stands for Armenian books.
DOI: 10.18710/rzpksg/hwiulr
title: Script_Henden_et_al_2024_JWM.R
DOI: 10.18710/t1vqla/xhsldt
title: WP1_zigzag_2.csv
DOI: 10.18710/tynihf/1vzzhn
title: 20231026_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/50tsxj
title: 20230713_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/6x6fzf
title: 20231021_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/8gshde
title: 20231223_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/arnsrw
title: 20231114_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/egalf6
title: 20231026_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/f208vj
title: 20231213_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/kfd51r
title: 20231208_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/krrcjq
title: 20230903_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/mbjjni
title: 20231224_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/qeayok
title: 20231202_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/tscye5
title: 20231116_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/w73lhu
title: 20230718_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/xytqqs
title: 20231114_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/zkyq3e
title: 20231217_HOP_REDTEC_gps.txt
DOI: 10.18710/5eosvj/immiyp
title: BeadpackDynamicsCTscans61-70.zip
DOI: 10.18710/azt6uy/x2aht0
title: 00_ReadMe.txt