cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kwtj28
title: Occurrence Download

description: A dataset containing 416062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence, Living Specimen, Material sample, Material citation, Specimen)",
 "Geometry POLYGON((180 65,180 90,-180 90,-180 65,180 65))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Polychaeta"
 ]
}

 The dataset includes 416062 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174567-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oh30qx
title: Occurrence Download

description: A dataset containing 1047 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthropoda",
 "Country is Saint Pierre and Miquelon"
 ]
}

 The dataset includes 1047 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001935-150504100648427/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxnuyn
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Olallamys albicauda (Günther, 1879)"
 ]
}

 The dataset includes 114 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174580-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gqnr9z
title: Occurrence Download

description: A dataset containing 80745 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrus communis L."
 ]
}

 The dataset includes 80745 records from 474 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026453-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0m66ja
title: Occurrence Download

description: A dataset containing 10592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvelinus alpinus (Linnaeus, 1758)",
 "Geometry POLYGON((-25.42 47.62,-25.42 71.58,53.05 71.58,53.05 47.62,-25.42 47.62))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10592 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001935-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhge2c
title: Occurrence Download

description: A dataset containing 127774600 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 127774600 records from 6418 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174581-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11587/igxrao/4mh16p
title: 10031_da_de_v1_0.tab
DOI: 10.11587/igxrao/d8soip
title: 10031_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 406 Variables, 2021 Observations
DOI: 10.11587/igxrao/0kmk2r
title: 10031_mr_de_v1_0.pdf

description: Method report
DOI: 10.11587/igxrao/yscfy0
title: 10031_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/igxrao/7w3vi4
title: 10031_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/igxrao/uaaujj
title: 10031_co_de_v1_0.pdf

description: Codebook - Tabellenband
DOI: 10.11587/eozsbq/uvl4ru
title: 10041_da_de_v1_0.tab
DOI: 10.11587/eozsbq/dnjouu
title: 10041_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 329 Variables, 2047 Observations
DOI: 10.11587/eozsbq/fsbf7b
title: 10041_da_de_v1_0-1.tab

description: Core data file - STATA format - 329 Variables, 2047 Observations
DOI: 10.11587/eozsbq/may8te
title: 10041_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/eozsbq/f180pa
title: 10041_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/eozsbq/jsoibl
title: 10041_mr_de_v1_0.pdf

description: Method report
DOI: 10.11587/eozsbq/3dhi6b
title: 10041_fr_de_v1_0.pdf

description: Field report
DOI: 10.15468/dl.26vcmn
title: Occurrence Download

description: A dataset containing 985 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Brachypetersius gabonensis, Brachypetersius huloti, Brachypetersius pseudonummifer, Alestes bouboni, Brycinus nurse, Brycinus brevis, Brycinus carmesinus, Brycinus derhami, Bryconalestes derhami, Brycinus grandisquamis, Brachyalestes imberi, Brycinus imberi, Brycinus leuciscus, Brycinus longipinnis, Bryconalestes longipinnis, Brycinus luteus, Brycinus macrolepidotus, Brachyalestes nurse, Brycinus poptae, Brycinus rhodopleura, Bryconaethiops boulengeri, Bryconaethiops macrops, Bryconaethiops microstoma, Bryconaethiops quinquesquamae, Bryconalestes tholloni, Clupeocharax schoutedeni, Hemigrammopetersius barnardi, Hemigrammopetersius pulcher, Hydrocynus brevis, Hydrocynus forskahlii, Hydrocynus goliath, Hydrocynus tanzaniae, Hydrocynus vittatus, Ladigesia roloffi, Lepidarchus adonis, Micralestes acutidens, Micralestes ambiguus, Micralestes argyrotaenia, Micralestes comoensis, Micralestes congicus, Micralestes eburneensis, Micralestes elongatus, Micralestes fodori, Micralestes holargyreus, Micralestes humilis, Micralestes lualabae, Micralestes occidentalis, Micralestes pabrensis, Micralestes sardina, Micralestes schelly, Micralestes stormsi, Micralestes vittatus, Phenacogrammus ansorgei, Nannopetersius ansorgii, Nannopetersius lamberti, Petersius conserialis, Phenacogrammus aurantiacus, Phenacogrammus bleheri, Phenacogrammus deheyni, Phenacogrammus interruptus, Phenacogrammus major, Phenacogrammus polli, Phenacogrammus stigmatura, Phenacogrammus taeniatus, Phenacogrammus urotaenia, Rhabdalestes aeratis, Rhabdalestes brevidorsalis, Rhabdalestes leleupi, Rhabdalestes tangensis, Rhabdalestes maunensis, Rhabdalestes rhodesiensis, Rhabdalestes septentrionalis, Tricuspidalestes caeruleus, Citharidium ansorgii, Citharinops distichodoides, Citharinus citharus, Citharinus congicus, Citharinus eburneensis, Citharinus gibbosus, Citharinus latus, Citharinus macrolepis, Belonophago hutsebouti, Belonophago tinanti, Congocharax olbrechtsi, Distichodus affinis, Distichodus altus, Distichodus antonii, Distichodus atroventralis, Distichodus brevipinnis, Distichodus decemmaculatus, Distichodus engycephalus, Distichodus fasciolatus, Distichodus hypostomatus, Distichodus kolleri, Distichodus langi, Distichodus lusosso, Distichodus maculatus, Distichodus mbiniensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((1.1203 5.3273,1.1382 5.3438,1.1382 11.0599,-7.8618 11.0599,-7.8618 3.9537,-7.6185 3.8529,-5.722 4.551,-4.0045 4.7444,-1.8508 4.2719,0.3589 5.2679,1.1203 5.3273))"
 ]
}

 The dataset includes 985 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032054-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11587/19zw6i/bbv07g
title: 10040_da_de_v1_0-1.tab

description: Core data file - STATA format - 441 Variables, 2011 Observations
DOI: 10.11587/19zw6i/p35aa1
title: 10040_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 441 Variables, 2011 Observations
DOI: 10.11587/19zw6i/gvehdk
title: 10040_da_de_v1_0.tab
DOI: 10.11587/19zw6i/zj80vm
title: 10040_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/19zw6i/8gaqqi
title: 10040_om_de_v1_0.pdf

description: List of ISCO codes and prestige scores for SSÖ 1986 and SSÖ 1993
DOI: 10.11587/19zw6i/lbmy4x
title: 10040_mr_de_v1_0.pdf

description: Method report
DOI: 10.17603/ds2-7r51-8n52
title: Crisis Cleanup: Southeast OK Tornadoes 60-Day Volunteer Cleanup Report (Mar. 4, 2025–May 3, 2025)

description: [175_1_5 SE OK Tornadoes] This report documents how voluntary (VOAD) organizations help their communities clean up after disasters. It quantifies $85.7K of volunteer services to communities between March 04, 2025–May 03, 2025, saving survivors many multiples of that amount and jump-starting long-term recovery. It quantifies the work of 5 dedicated voluntary organizations that help neighbors in 3 individual county reports in 1 states. It is a 60-day snapshot of property cleanup documented by relief organizations through crisiscleanup.org. It covers 13 requests for cleanup, and compares this incident with 70 other similar incidents coordinated by Crisis Cleanup in 13 years. It includes data for the following municipalities: Pontotoc County, OK (11 cases); Allen, OK (6 cases).
DOI: 10.11587/19zw6i/1sy2mc
title: 10040_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/atw2bj/mkpzcg
title: 10039_om_de_v1_0.pdf

description: List of ISCO codes and prestige scores for SSÖ 1986 and SSÖ 1993
DOI: 10.11587/atw2bj/0mmgwl
title: 10039_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/atw2bj/r2ciup
title: 10039_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/atw2bj/bqy4yw
title: 10039_mr_de_v1_0.pdf

description: Method report
DOI: 10.11587/atw2bj/fsqmax
title: 10039_da_de_v1_0.tab
DOI: 10.11587/atw2bj/ervtwa
title: 10039_da_de_v1_0-1.tab

description: Core data file - STATA format - 377 Variables, 2014 Observations
DOI: 10.11587/atw2bj/ontcif
title: 10039_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 377 Variables, 2014 Observations
DOI: 10.11587/erdg3o/4rgiey
title: 10043_co_de_v1_0.pdf

description: Codebook
DOI: 10.11587/erdg3o/2pomn0
title: 10043_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/erdg3o/qc1pb0
title: :unav

description: :unav
DOI: 10.11587/erdg3o/cqmvky
title: :unav

description: :unav
DOI: 10.11587/erdg3o/ankgpf
title: :unav

description: :unav
DOI: 10.11587/erdg3o/hds8om
title: :unav

description: :unav
DOI: 10.11587/erdg3o/zhlz5m
title: :unav

description: :unav
DOI: 10.11587/erdg3o/blfkts
title: 10043_mr_de_v1_1.pdf

description: Method report
DOI: 10.11587/erdg3o/bgfckq
title: 10043_da_de_v2_0-1.tab

description: Core data file - STATA format - 230 Variables, 1200 Observations
DOI: 10.11587/erdg3o/ceqvq2
title: 10043_da_de_v2_0.tab
DOI: 10.11587/erdg3o/vafupx
title: 10043_da_de_v2_0.zsav

description: Core data file - compressed SPSS format - 230 Variables, 1200 Observations
DOI: 10.11587/erdg3o/hl5xgc
title: 10043_vi_de_v2_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.5281/zenodo.17049871
title: Data from: Assessing Umbellularia californica basal resprouting response post-wildfire using field measurements and ground-based LiDAR scanning

description: This archive provides code and data for reproducing the results of Bell et al. 2025, "Assessing Umbellularia californica basal resprouting response post-wildfire using field measurements and ground-based LiDAR scanning", published in Remote Sensing (https://doi.org/10.3390/rs17173101).

The attached .zip archive, Bell_et_al_code.zip, contains the following files and directories:



Bell_et_al_code.Rproj – An RStudio project file. Opening this file in RStudio allows the associated scripts to operate in a self-contained working directory that doesn't depend on the user's specific file system.

Bell_et_all_ggplot_figures.R – An R script for reproducing all of the plots from Bell et al. 2025.

data/ – a folder containing the input data used by the R scripts, containing the following:



q1_las/ – LAS point cloud files of California bay laurel resprouts, used to develop a regression equation for estimating resprout biomass from LiDAR-derived volume.

q2b_las/ – LAS point cloud files of California bay laurel resprouts from Saddle Mountain, used to test the relationship between fire severity and source tree DBH on resprout biomass.

UMCA master data.xlsx – An Excel file containing the master data used by Bell_et_al_ggplot_figures.R



generate_voxel_size_fill_data.R – An R script for testing different voxel resolutions and fill levels for estimating resprout biomass. It uses the contents of q1_las/ as input data.

output/ – A folder for storing the figures generated by Bell_et_al_ggplot_figures.R

sm_tls_volumes.R – An R script for calculating LiDAR-derived volume for bay laurel resprouts from Saddle Mountain. It uses the contents of q2b_las/ as input data.


It is recommended that users who download this repository first launch RStudio by double-clicking the file Bell_et_al_code.Rproj, and then opening the associated R scripts within that session. This will ensure that the scripts can be run without having to manually specify a working directory.
DOI: 10.5281/zenodo.17049872
title: Data from: Assessing Umbellularia californica basal resprouting response post-wildfire using field measurements and ground-based LiDAR scanning

description: This archive provides code and data for reproducing the results of Bell et al. 2025, "Assessing Umbellularia californica basal resprouting response post-wildfire using field measurements and ground-based LiDAR scanning", published in Remote Sensing (https://doi.org/10.3390/rs17173101).

The attached .zip archive, Bell_et_al_code.zip, contains the following files and directories:



Bell_et_al_code.Rproj – An RStudio project file. Opening this file in RStudio allows the associated scripts to operate in a self-contained working directory that doesn't depend on the user's specific file system.

Bell_et_all_ggplot_figures.R – An R script for reproducing all of the plots from Bell et al. 2025.

data/ – a folder containing the input data used by the R scripts, containing the following:



q1_las/ – LAS point cloud files of California bay laurel resprouts, used to develop a regression equation for estimating resprout biomass from LiDAR-derived volume.

q2b_las/ – LAS point cloud files of California bay laurel resprouts from Saddle Mountain, used to test the relationship between fire severity and source tree DBH on resprout biomass.

UMCA master data.xlsx – An Excel file containing the master data used by Bell_et_al_ggplot_figures.R



generate_voxel_size_fill_data.R – An R script for testing different voxel resolutions and fill levels for estimating resprout biomass. It uses the contents of q1_las/ as input data.

output/ – A folder for storing the figures generated by Bell_et_al_ggplot_figures.R

sm_tls_volumes.R – An R script for calculating LiDAR-derived volume for bay laurel resprouts from Saddle Mountain. It uses the contents of q2b_las/ as input data.


It is recommended that users who download this repository first launch RStudio by double-clicking the file Bell_et_al_code.Rproj, and then opening the associated R scripts within that session. This will ensure that the scripts can be run without having to manually specify a working directory.
DOI: 10.11587/caoksm/ggvl3z
title: 10014_co_de_v1_0.pdf

description: Codebook
DOI: 10.11587/caoksm/007srt
title: 10014_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/caoksm/8zt5pz
title: 10014_rr_de_v1_0.pdf

description: Research report — German
DOI: 10.11587/caoksm/tmh6sq
title: 10014_rr_en_v1_0.pdf

description: Research report — English
DOI: 10.11587/caoksm/bnnlpw
title: 10014_vi_de_v1_0.tab

description: Variable identifiers and descriptions – machine-readable
DOI: 10.11587/caoksm/hiybuq
title: 10014_readme.pdf

description: Data curation protocol
DOI: 10.15468/dl.mc7xnf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apocorophium acutum",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032055-250827131500795/datasets/export for details.
DOI: 10.11587/caoksm/sxhmwf
title: 10014_da_de_v1_0.tab

description: Core data file – STATA format – 289 Variables, 1195 Observations
DOI: 10.15468/dl.vrprqd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apocorophium acutum",
 "Country is Uruguay",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032056-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11587/caoksm/xhez7p
title: 10014_da_de_v1_0.zip

description: Core data file – compressed CSV format – 289 Variables, 1195 Observations
DOI: 10.11587/caoksm/trth6f
title: 10014_da_de_v1_0.zsav

description: Core data file – compressed SPSS format – 289 Variables, 1195 Observations
DOI: 10.11587/equdal/h1ohoc
title: 10049_da_de_v1_0.zip

description: Data files - Excel format;
10049_da01_de_v1_0.xlsx (1919-1930), 10049_da02_de_v1_0.xlsx (1945-2017)
DOI: 10.11587/equdal/yormbc
title: 10049_co_de_v1_0.pdf

description: Codebook
DOI: 10.11587/c4ybot/6b5dad
title: 10048_om02_en_v1_0.pdf

description: EVS Austria 1990 - 2018: List of all variables in all 4 waves
DOI: 10.11587/c4ybot/1gnuye
title: 10048_da_en_v1_0.tab

description: Users are kindly asked to cite the data as follows: Sylvia Kritzinger, Julian Aichholzer, Josef Glavanovits, Sanja Hajdinjak, Judith Klaiber, Lena Seewann, Christian Friesl, Paul M. Zulehner (2019). European Values Study 1990-2018 Austria Longitudinal Data (SUF edition), doi:10.11587/C4YBOT, AUSSDA Dataverse, V1
DOI: 10.11587/c4ybot/ex7yqp
title: 10048_da_en_v1_0.zsav

description: Core data file - compressed SPSS format - 860 Variables, 6440 Observations - English. Users are kindly asked to cite the data as follows: Sylvia Kritzinger, Julian Aichholzer, Josef Glavanovits, Sanja Hajdinjak, Judith Klaiber, Lena Seewann, Christian Friesl, Paul M. Zulehner (2019). European Values Study 1990-2018 Austria Longitudinal Data (SUF edition), doi:10.11587/C4YBOT, AUSSDA Dataverse, V1
DOI: 10.11587/c4ybot/spwehx
title: 10048_da_en_v1_0-1.tab

description: Core data file - STATA format - 860 Variables, 6440 Observations - English. Users are kindly asked to cite the data as follows: Sylvia Kritzinger, Julian Aichholzer, Josef Glavanovits, Sanja Hajdinjak, Judith Klaiber, Lena Seewann, Christian Friesl, Paul M. Zulehner (2019). European Values Study 1990-2018 Austria Longitudinal Data (SUF edition), doi:10.11587/C4YBOT, AUSSDA Dataverse, V1
DOI: 10.11587/c4ybot/25zdtj
title: 10044_qu_de_v1_0.pdf

description: Questionnaire German (EVS 2018)
DOI: 10.5281/zenodo.17064725
title: Supplementary Material 02_Epitopes

description: Epitopes from IEDB
DOI: 10.5281/zenodo.17064726
title: Supplementary Material 02_Epitopes

description: Epitopes from IEDB
DOI: 10.11587/c4ybot/tlpohu
title: 10044_qu_en_v1_0.pdf

description: Questionnaire English (EVS 2018)
DOI: 10.11587/c4ybot/p9aa8e
title: 10044_co_en_v1_0.pdf

description: Method report and codebook English (EVS 2018)
DOI: 10.11587/c4ybot/8zpgxv
title: 10048_vi_en_v1_0.tab

description: Variable identifiers and descriptions - machine-readable English
DOI: 10.11587/c4ybot/m8qdos
title: 10048_om01_en_v1_0.pdf

description: Supporting material: Links to all codebooks and questionnaires for EVS Austria 1990 – 2018
DOI: 10.11587/c4ybot/apvi1f
title: 10048_mr_en_v1_0.pdf

description: Method report and Codebook (1990-2018). Users are kindly asked to cite the documentation as follows: Josef Glavanovits, Sanja Hajdinjak, Julian Aichholzer, Sylvia Kritzinger (2019). Documentation for European Values Study 1990-2018 Austria Longitudinal Data.
DOI: 10.11587/7lx1bd/rm36lk
title: 10050_co_de_v1_0.pdf

description: Method report and codebook - German
DOI: 10.11587/7lx1bd/jd7f9i
title: 10050_qu_de_v1_0.pdf

description: Questionnaire - German
DOI: 10.11587/7lx1bd/b94e7r
title: 10050_qu_en_v1_0.pdf

description: Questionnaire - English
DOI: 10.11587/7lx1bd/bqf9j0
title: 10050_da_de_v1_0.tab

description: Core data file - STATA format - 113 Variables, 515 Observations - German
DOI: 10.11587/7lx1bd/hhqaim
title: 10050_da_de_v1_0.tab
DOI: 10.11587/7lx1bd/wkefr1
title: 10050_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 113 Variables, 515 Observations - German
DOI: 10.11587/7lx1bd/augagg
title: 10050_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable - German
DOI: 10.11587/7lx1bd/6ezkke
title: 10050_da_de_v1_0.zip

description: Core data file – compressed CSV format - 113 Variables, 515 Observations - German
DOI: 10.11587/7lx1bd/ziioad
title: 10050_da_en_v1_0.zip

description: Core data file – compressed CSV format - 113 Variables, 515 Observations - English
DOI: 10.11587/7lx1bd/bwypax
title: 10050_da_en_v1_0.tab

description: Core data file - STATA format - 113 Variables, 515 Observations - English
DOI: 10.11587/7lx1bd/ycwt4n
title: 10050_da_en_v1_0.zsav

description: Core data file - compressed SPSS format - 113 Variables, 515 Observations - English
DOI: 10.11587/7lx1bd/ziggbd
title: 10050_vi_en_v1_0.tab

description: Variable identifiers and descriptions - machine-readable - English
DOI: 10.11587/7lx1bd/6wq2m2
title: 10050_readme.pdf

description: Data curation protocol
DOI: 10.11587/8hib1o/twg1ds
title: 10051_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 35 Variables, 505 Observations
DOI: 10.11587/8hib1o/sh5eio
title: 10051_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/8hib1o/9qtc02
title: 10051_rr_de_v1_0.pdf

description: Research report
DOI: 10.11587/8hib1o/uqenxq
title: 10051_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/8hib1o/e9hymi
title: 10051_da_de_v1_0.tab

description: Core data file - STATA format - 35 Variables, 505 Observations
DOI: 10.11587/wjmxdr/ualsst
title: 10052_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 34 Variables, 467 Observations
DOI: 10.11587/wjmxdr/o6ybq8
title: 10052_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/wjmxdr/cyf0dn
title: 10052_rr_de_v1_0.pdf

description: Research report
DOI: 10.11587/wjmxdr/wrttsg
title: 10052_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/wjmxdr/rxcd6r
title: 10052_da_de_v1_0.tab

description: Core data file - STATA format - 34 Variables, 467 Observations
DOI: 10.11587/5s3psn/hdejne
title: 10042_co_en_v1_0.pdf

description: Codebook and report - English
DOI: 10.11587/5s3psn/exvapp
title: 10042_co_de_v1_0.pdf

description: Codebook and report - German
DOI: 10.11587/5s3psn/jbolce
title: 10042_vi_en_v1_0.tab

description: Variable identifiers and descriptions - machine-readable - English
DOI: 10.11587/5s3psn/nmqfqn
title: 10042_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable - German
DOI: 10.11587/5s3psn/vioy4m
title: 10042_da_en_v1_0.zsav

description: Core data file - compressed SPSS format - 14 Variables, 2940 Observations - English
DOI: 10.11587/5s3psn/r3bgqz
title: 10042_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 14 Variables, 2940 Observations - German
DOI: 10.11587/5s3psn/lwhaco
title: 10042_da_en_v1_0-1.tab

description: Core data file - STATA format - 14 Variables, 2940 Observations - English
DOI: 10.11587/5s3psn/vrjnf4
title: 10042_da_de_v1_0-1.tab

description: Core data file - STATA format - 14 Variables, 2940 Observations - German
DOI: 10.11587/5s3psn/9ijanu
title: 10042_da_en_v1_0.tab