cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3985648
title: Euroccupations dataset, codebook, and labelset

description: <strong>Title:</strong> Developing a detailed 8-country occupations database for comparative socio-economic research in the European Union<br> <strong>Duration:</strong> April 2006 - March 2009<br> <strong>Funded by:</strong> European Commission - 6th Framework Programme - FP6-028987 The EurOccupations project aimed to build a publicly available database containing the most common occupations for use in multi-country data-collection, through the Internet or otherwise. It covered eight EU countries, notably Belgium, France, Germany, Italy, Netherlands, Poland, Spain, and United Kingdom. The database includes a source list of 1,594 distinct occupational titles within the ISCO-08 classification, country-specific translations and a search tree to navigate through the database. An updated occupational database is downloadable here: https://www.surveycodings.org/occupation-measurement See for information about the project: https://wageindicator.org/Wageindicatorfoundation/projects/euroccp See publications: Tijdens K.G., De Ruijter, E., De Ruijter, J. (2014) Comparing work tasks of 160 occupations across eight European countries, Employee Relations, 36 (2), pp.110 – 127 (EN) LINK = http://www.emeraldinsight.com/toc/er/36/2 Tijdens, K.G., De Ruijter, J. and De Ruijter, E. (2012), "Measuring work activities and skill requirements of occupations: Experiences from a European pilot study with a web‐survey", <em>European Journal of Training and Development</em>, Vol. 36 No. 7, pp. 751-763. https://doi.org/10.1108/03090591211255575
DOI: 10.18419/darus-862/136
title: case1_single_tracer_matrix_reference-00010.vtu

description: :unav
DOI: 10.5281/zenodo.3985647
title: Euroccupations dataset, codebook, and labelset

description: <strong>Title:</strong> Developing a detailed 8-country occupations database for comparative socio-economic research in the European Union<br> <strong>Duration:</strong> April 2006 - March 2009<br> <strong>Funded by:</strong> European Commission - 6th Framework Programme - FP6-028987 The EurOccupations project aimed to build a publicly available database containing the most common occupations for use in multi-country data-collection, through the Internet or otherwise. It covered eight EU countries, notably Belgium, France, Germany, Italy, Netherlands, Poland, Spain, and United Kingdom. The database includes a source list of 1,594 distinct occupational titles within the ISCO-08 classification, country-specific translations and a search tree to navigate through the database. An updated occupational database is downloadable here: https://www.surveycodings.org/occupation-measurement See for information about the project: https://wageindicator.org/Wageindicatorfoundation/projects/euroccp See publications: Tijdens K.G., De Ruijter, E., De Ruijter, J. (2014) Comparing work tasks of 160 occupations across eight European countries, Employee Relations, 36 (2), pp.110 – 127 (EN) LINK = http://www.emeraldinsight.com/toc/er/36/2 Tijdens, K.G., De Ruijter, J. and De Ruijter, E. (2012), "Measuring work activities and skill requirements of occupations: Experiences from a European pilot study with a web‐survey", <em>European Journal of Training and Development</em>, Vol. 36 No. 7, pp. 751-763. https://doi.org/10.1108/03090591211255575
DOI: 10.18419/darus-862/137
title: case1_single_tracer_fracture_reference-00009.vtu

description: :unav
DOI: 10.18419/darus-862/138
title: case1_single_tracer_matrix_reference-00043.vtu

description: :unav
DOI: 10.18419/darus-862/139
title: case1_single_tracer_fracture_reference-00063.vtu

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DOI: 10.18419/darus-862/140
title: case1_single_tracer_fracture_reference-00090.vtu

description: :unav
DOI: 10.18419/darus-862/141
title: case1_single_tracer_matrix_reference-00041.vtu

description: :unav
DOI: 10.18419/darus-862/142
title: case1_single_tracer_fracture_reference-00030.vtu

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title: case1_single_tracer_fracture_reference-00096.vtu

description: :unav
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title: case1_single_tracer_fracture_reference-00035.vtu

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title: case1_single_tracer_fracture_reference-00055.vtu

description: :unav
DOI: 10.18419/darus-862/146
title: case1_single_tracer_fracture_reference-00002.vtu

description: :unav
DOI: 10.18419/darus-862/147
title: case1_single_tracer_matrix_reference-00009.vtu

description: :unav
DOI: 10.18419/darus-862/148
title: case1_single_tracer_fracture_reference-00080.vtu

description: :unav
DOI: 10.18419/darus-862/149
title: case1_single_tracer_fracture_reference-00095.vtu

description: :unav
DOI: 10.18419/darus-862/150
title: case1_single_tracer_matrix_reference-00023.vtu

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DOI: 10.18419/darus-862/151
title: case1_single_tracer_matrix_reference-00008.vtu

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DOI: 10.18419/darus-862/152
title: case1_single_tracer_matrix_reference-00003.vtu

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DOI: 10.18419/darus-862/153
title: case1_single_tracer_matrix_reference-00024.vtu

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DOI: 10.18419/darus-862/154
title: case1_single_tracer_matrix_reference-00022.vtu

description: :unav
DOI: 10.18419/darus-862/155
title: case1_single_tracer_matrix_reference-00062.vtu

description: :unav
DOI: 10.18419/darus-862/156
title: case1_single_tracer_fracture_reference-00003.vtu

description: :unav
DOI: 10.18419/darus-862/157
title: case1_single_tracer_matrix_reference-00097.vtu

description: :unav
DOI: 10.18419/darus-862/158
title: case1_single_tracer_matrix_reference-00100.vtu

description: :unav
DOI: 10.18419/darus-862/159
title: case1_single_tracer_fracture_reference-00004.vtu

description: :unav
DOI: 10.18419/darus-862/160
title: case1_single_tracer_fracture_reference-00026.vtu

description: :unav
DOI: 10.18419/darus-862/161
title: case1_single_tracer_matrix_reference-00025.vtu

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DOI: 10.18419/darus-862/162
title: case1_single_tracer_fracture_reference-00001.vtu

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DOI: 10.18419/darus-862/163
title: case1_single_tracer_fracture_reference-00098.vtu

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DOI: 10.18419/darus-862/164
title: case1_single_tracer_fracture_reference-00099.vtu

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DOI: 10.18419/darus-862/165
title: case1_single_tracer_fracture_reference-00034.vtu

description: :unav
DOI: 10.18419/darus-862/166
title: case1_single_tracer_matrix_reference-00073.vtu

description: :unav
DOI: 10.18419/darus-862/167
title: case1_single_tracer_matrix_reference-00000.vtu

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DOI: 10.18419/darus-862/168
title: case1_single_tracer_matrix_reference-00047.vtu

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DOI: 10.18419/darus-862/169
title: case1_single_tracer_matrix_reference-00029.vtu

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DOI: 10.18419/darus-862/170
title: case1_single_tracer_matrix_reference-00075.vtu

description: :unav
DOI: 10.18419/darus-862/171
title: case1_single_tracer_matrix_reference-00034.vtu

description: :unav
DOI: 10.18419/darus-862/173
title: case1_single_tracer_matrix_reference-00095.vtu

description: :unav
DOI: 10.18419/darus-862/174
title: case1_single_tracer_fracture_reference-00062.vtu

description: :unav
DOI: 10.18419/darus-862/175
title: case1_single_tracer_matrix_reference-00086.vtu

description: :unav
DOI: 10.18419/darus-862/176
title: case1_single_tracer_matrix_reference-00004.vtu

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DOI: 10.18419/darus-862/177
title: case1_single_tracer_fracture_reference-00076.vtu

description: :unav
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title: case1_single_tracer_matrix_reference-00001.vtu

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DOI: 10.18419/darus-862/179
title: case1_single_tracer_fracture_reference-00088.vtu

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title: case1_single_tracer_fracture_reference-00027.vtu

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title: case1_single_tracer_fracture_reference-00049.vtu

description: :unav
DOI: 10.18419/darus-862/182
title: case1_single_tracer_matrix_reference-00068.vtu

description: :unav
DOI: 10.18419/darus-862/183
title: case1_single_tracer_fracture_reference-00068.vtu

description: :unav
DOI: 10.18419/darus-862/184
title: case1_single_tracer_matrix_reference-00082.vtu

description: :unav
DOI: 10.18419/darus-862/185
title: case1_single_tracer_fracture_reference-00072.vtu

description: :unav
DOI: 10.18419/darus-862/186
title: case1_single_tracer_matrix_reference-00093.vtu

description: :unav
DOI: 10.18419/darus-862/187
title: case1_single_tracer_matrix_reference-00088.vtu

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title: case1_single_tracer_fracture_reference-00048.vtu

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title: case1_single_tracer_matrix_reference-00079.vtu

description: :unav
DOI: 10.18419/darus-862/190
title: case1_single_tracer_matrix_reference-00080.vtu

description: :unav
DOI: 10.18419/darus-862/191
title: case1_single_tracer_fracture_reference-00019.vtu

description: :unav
DOI: 10.18419/darus-862/192
title: case1_single_tracer_matrix_reference-00053.vtu

description: :unav
DOI: 10.18419/darus-862/193
title: case1_single_tracer_matrix_reference-00037.vtu

description: :unav
DOI: 10.18419/darus-862/194
title: case1_single_tracer_fracture_reference-00043.vtu

description: :unav
DOI: 10.18419/darus-862/195
title: case1_single_onep_matrix_reference-00001.vtu

description: :unav
DOI: 10.18419/darus-862/196
title: case1_single_tracer_matrix_reference-00007.vtu

description: :unav
DOI: 10.18419/darus-862/197
title: case1_single_tracer_fracture_reference-00012.vtu

description: :unav
DOI: 10.18419/darus-862/198
title: case1_single_tracer_fracture_reference-00089.vtu

description: :unav
DOI: 10.18419/darus-862/199
title: case1_single_tracer_fracture_reference-00085.vtu

description: :unav
DOI: 10.18419/darus-862/200
title: case1_single_tracer_fracture_reference-00016.vtu

description: :unav
DOI: 10.18419/darus-862/201
title: case1_single_tracer_matrix_reference-00090.vtu

description: :unav
DOI: 10.18419/darus-862/202
title: case1_single_tracer_fracture_reference-00010.vtu

description: :unav
DOI: 10.18419/darus-862/203
title: case1_single_tracer_matrix_reference-00045.vtu

description: :unav
DOI: 10.18419/darus-862/204
title: case1_single_tracer_fracture_reference-00065.vtu

description: :unav
DOI: 10.18419/darus-862/205
title: case1_single_tracer_matrix_reference-00052.vtu

description: :unav
DOI: 10.18419/darus-862/206
title: case1_single_tracer_matrix_reference-00058.vtu

description: :unav
DOI: 10.18419/darus-862/207
title: case1_single_tracer_matrix_reference-00049.vtu

description: :unav
DOI: 10.18419/darus-862/208
title: case1_single_tracer_fracture_reference-00077.vtu

description: :unav
DOI: 10.18419/darus-862/209
title: case1_single_tracer_matrix_reference-00070.vtu

description: :unav
DOI: 10.18419/darus-862/210
title: case1_single_tracer_fracture_reference-00057.vtu

description: :unav
DOI: 10.18419/darus-862/211
title: case1_single_tracer_fracture_reference-00046.vtu

description: :unav
DOI: 10.18419/darus-862/212
title: case1_single_onep_fracture_reference-00001.vtu

description: :unav
DOI: 10.18419/darus-862/213
title: single_500k.msh

description: :unav
DOI: 10.5281/zenodo.4044006
title: Screening for functional transcriptional and splicing regulatory variants with GenIE

description: Here we provide data used in the analysis for our paper introducing the GenIE method (Genome engineering-based Interrogation of Enhancers). <strong>Abstract</strong> Genome-wide association studies (GWAS) have identified numerous genetic loci underlying human diseases, but a fundamental challenge remains to accurately identify the underlying causal genes and variants. Here we describe an arrayed CRISPR screening method, Genome engineering-based Interrogation of Enhancers (GenIE), which assesses the effects of defined alleles on transcription or splicing when introduced in their endogenous genomic location. We use this sensitive assay to validate the activity of transcriptional enhancers and splice regulatory elements in human induced pluripotent stem cells (hiPSCs), and develop a software package (rgenie) to analyse the data. We screen the 99% credible set of Alzheimer’s disease (AD) GWAS variants identified at the clusterin (CLU) locus to identify a subset of likely causal variants, and employ GenIE to understand the impact of specific mutations on splicing efficiency. We thus establish GenIE as an efficient tool to rapidly screen for the role of transcribed variants on gene expression.
DOI: 10.5281/zenodo.4044005
title: Screening for functional transcriptional and splicing regulatory variants with GenIE

description: Here we provide data used in the analysis for our paper introducing the GenIE method (Genome engineering-based Interrogation of Enhancers). <strong>Abstract</strong> Genome-wide association studies (GWAS) have identified numerous genetic loci underlying human diseases, but a fundamental challenge remains to accurately identify the underlying causal genes and variants. Here we describe an arrayed CRISPR screening method, Genome engineering-based Interrogation of Enhancers (GenIE), which assesses the effects of defined alleles on transcription or splicing when introduced in their endogenous genomic location. We use this sensitive assay to validate the activity of transcriptional enhancers and splice regulatory elements in human induced pluripotent stem cells (hiPSCs), and develop a software package (rgenie) to analyse the data. We screen the 99% credible set of Alzheimer’s disease (AD) GWAS variants identified at the clusterin (CLU) locus to identify a subset of likely causal variants, and employ GenIE to understand the impact of specific mutations on splicing efficiency. We thus establish GenIE as an efficient tool to rapidly screen for the role of transcribed variants on gene expression.
DOI: 10.18419/darus-862/214
title: case1_single_tracer_matrix_mpfa_2-00071.vtu

description: :unav
DOI: 10.18419/darus-862/215
title: case1_single_tracer_matrix_mpfa_0-00010.vtu

description: :unav
DOI: 10.18419/darus-862/216
title: case1_single_tracer_matrix_mpfa_1-00071.vtu

description: :unav
DOI: 10.18419/darus-862/217
title: case1_single_tracer_fracture_mpfa_0-00091.vtu

description: :unav
DOI: 10.18419/darus-862/218
title: case1_single_tracer_matrix_mpfa_2-00039.vtu

description: :unav
DOI: 10.18419/darus-862/219
title: case1_single_tracer_fracture_mpfa_2-00082.vtu

description: :unav
DOI: 10.18419/darus-862/220
title: case1_single_tracer_matrix_mpfa_0-00082.vtu

description: :unav
DOI: 10.18419/darus-862/221
title: case1_single_tracer_matrix_mpfa_1-00068.vtu

description: :unav
DOI: 10.18419/darus-862/222
title: case1_single_tracer_matrix_mpfa_0-00078.vtu

description: :unav
DOI: 10.18419/darus-862/223
title: case1_single_tracer_fracture_mpfa_1-00010.vtu

description: :unav
DOI: 10.18419/darus-862/224
title: case1_single_onep_matrix_mpfa_1-00000.vtu

description: :unav
DOI: 10.18419/darus-862/225
title: case1_single_tracer_fracture_mpfa_1-00040.vtu

description: :unav
DOI: 10.18419/darus-862/226
title: case1_single_tracer_matrix_mpfa_0-00050.vtu

description: :unav
DOI: 10.18419/darus-862/227
title: case1_single_tracer_matrix_mpfa_1-00050.vtu

description: :unav
DOI: 10.18419/darus-862/228
title: case1_single_tracer_fracture_mpfa_1-00055.vtu

description: :unav
DOI: 10.18419/darus-862/229
title: case1_single_tracer_fracture_mpfa_1-00043.vtu

description: :unav
DOI: 10.18419/darus-862/230
title: case1_single_tracer_fracture_mpfa_2-00013.vtu

description: :unav
DOI: 10.18419/darus-862/231
title: case1_single_tracer_fracture_mpfa_2-00038.vtu

description: :unav
DOI: 10.18419/darus-862/232
title: case1_single_tracer_fracture_reference-00097.vtu

description: :unav
DOI: 10.18419/darus-862/233
title: case1_single_tracer_fracture_mpfa_1-00006.vtu

description: :unav
DOI: 10.18419/darus-862/234
title: case1_single_tracer_fracture_mpfa_2-00051.vtu

description: :unav
DOI: 10.18419/darus-862/235
title: case1_single_tracer_fracture_mpfa_0-00020.vtu

description: :unav
DOI: 10.18419/darus-862/236
title: case1_single_tracer_matrix_mpfa_1-00035.vtu

description: :unav
DOI: 10.6084/m9.figshare.5892775
title: The Coupled Magmatic and Hydrothermal Systems of the Restless Aluto Caldera, Ethiopia

description: Data files relating to<br>Matthew Wilks, Nick Rawlinson, J.-Michael Kendall, Andy Nowacki, Juliet Biggs, Ataly Ayele and James Wookey, 2020.The Coupled Magmatic and Hydrothermal Systems of the Restless Aluto Caldera, EthiopiaFrontiers in Earth Science, 8:579699, doi:10.3389/feart.2020.579699<br>The corresponding author is Mike Kendall (mike.kendall@stx.ox.ac.uk)<br>## File listing<br>### Tomography models<br>1. `VpModel.out`2. `VsModel.out`3. `VpVsModel.out`<br>They are plain text files giving the velocity in km/s (relating to Vp or Vs) or Vp/Vs ratio at each node of the grid specified in the first four lines of the file.<br>Each line of the files contain the following columns:<br>[1] [For these data, this line always contains simply the values `1` and `1`.][2] Three values, respectively for the number of nodes in radius, latitude and longitude.[3] Three values, respectively for the radial node spacing in km, spacing in latitude in radians and spacing in longitude in radians.[4] Three values, respectively for the grid origin radius (km), latitude (radians) and longitude (radians).[5..n+5] Value of Vp, Vs or Vp/Vs (given by file name) at each node.<br>Note that each value in lines 5 forwards corresponds to a single node. The values loop overthe grid, with longitude varying fastest and radius slowest.The first node is at the grid origin. The second node is at the grid origin, plus the grid spacing in longitude. This continues for the `nlon` longitude nodes. The `nlon+1`the point is then at the grid origin, plus the latitude spacing; and so on.<br>If there are `nr` radial nodes, `nlat` latitude nodes and `nlon` longitude nodes, then the following pseudocode shows how to read lines 5 forwards using the imaginary function `readline`, which reads a single real value from a plain text file and moves to the next line:<br>```# Comment: have already read the first four linesfor ir in 1:nr:for ilat in 1:nlat:for ilon in 1:nlon:grid[ir,ilat,ilon] = readline(file_handle)```<br>### Relocated hypocentres<br>4. `Event_catalogue.txt`<br>This is a plain text file containing the original and relocated hypocentres input and output during the joint inversion for event location and velocity. The last three columns are the associated errors. Each line is for a separate event, with columns ordered longitude, latitude, depth (see headers).<br>
DOI: 10.18419/darus-862/237
title: case1_single_tracer_fracture_mpfa_0-00058.vtu

description: :unav
DOI: 10.6084/m9.figshare.5892775.v4
title: The Coupled Magmatic and Hydrothermal Systems of the Restless Aluto Caldera, Ethiopia

description: Data files relating to<br>Matthew Wilks, Nick Rawlinson, J.-Michael Kendall, Andy Nowacki, Juliet Biggs, Ataly Ayele and James Wookey, 2020.The Coupled Magmatic and Hydrothermal Systems of the Restless Aluto Caldera, EthiopiaFrontiers in Earth Science, 8:579699, doi:10.3389/feart.2020.579699<br>The corresponding author is Mike Kendall (mike.kendall@stx.ox.ac.uk)<br>## File listing<br>### Tomography models<br>1. `VpModel.out`2. `VsModel.out`3. `VpVsModel.out`<br>They are plain text files giving the velocity in km/s (relating to Vp or Vs) or Vp/Vs ratio at each node of the grid specified in the first four lines of the file.<br>Each line of the files contain the following columns:<br>[1] [For these data, this line always contains simply the values `1` and `1`.][2] Three values, respectively for the number of nodes in radius, latitude and longitude.[3] Three values, respectively for the radial node spacing in km, spacing in latitude in radians and spacing in longitude in radians.[4] Three values, respectively for the grid origin radius (km), latitude (radians) and longitude (radians).[5..n+5] Value of Vp, Vs or Vp/Vs (given by file name) at each node.<br>Note that each value in lines 5 forwards corresponds to a single node. The values loop overthe grid, with longitude varying fastest and radius slowest.The first node is at the grid origin. The second node is at the grid origin, plus the grid spacing in longitude. This continues for the `nlon` longitude nodes. The `nlon+1`the point is then at the grid origin, plus the latitude spacing; and so on.<br>If there are `nr` radial nodes, `nlat` latitude nodes and `nlon` longitude nodes, then the following pseudocode shows how to read lines 5 forwards using the imaginary function `readline`, which reads a single real value from a plain text file and moves to the next line:<br>```# Comment: have already read the first four linesfor ir in 1:nr:for ilat in 1:nlat:for ilon in 1:nlon:grid[ir,ilat,ilon] = readline(file_handle)```<br>### Relocated hypocentres<br>4. `Event_catalogue.txt`<br>This is a plain text file containing the original and relocated hypocentres input and output during the joint inversion for event location and velocity. The last three columns are the associated errors. Each line is for a separate event, with columns ordered longitude, latitude, depth (see headers).<br>
DOI: 10.18419/darus-862/238
title: case1_single_tracer_fracture_mpfa_0-00089.vtu

description: :unav
DOI: 10.6084/m9.figshare.5892775.v3
title: The Coupled Magmatic and Hydrothermal Systems of the Restless Aluto Caldera, Ethiopia

description: Data files relating to<br>Matthew Wilks, Nick Rawlinson, J.-Michael Kendall, Andy Nowacki, Juliet Biggs, Ataly Ayele and James Wookey, 2020.The Coupled Magmatic and Hydrothermal Systems of the Restless Aluto Caldera, EthiopiaFrontiers in Earth Science, 8:579699, doi:10.3389/feart.2020.579699<br>The corresponding author is Mike Kendall (mike.kendall@stx.ox.ac.uk)<br>## File listing<br>### Tomography models<br>1. `VpModel.out`2. `VsModel.out`3. `VpVsModel.out`<br>They are plain text files giving the velocity in km/s (relating to Vp or Vs) or Vp/Vs ratio at each node of the grid specified in the first four lines of the file.<br>Each line of the files contain the following columns:<br>[1] [For these data, this line always contains simply the values `1` and `1`.][2] Three values, respectively for the number of nodes in radius, latitude and longitude.[3] Three values, respectively for the radial node spacing in km, spacing in latitude in radians and spacing in longitude in radians.[4] Three values, respectively for the grid origin radius (km), latitude (radians) and longitude (radians).[5..n+5] Value of Vp, Vs or Vp/Vs (given by file name) at each node.<br>Note that each value in lines 5 forwards corresponds to a single node. The values loop overthe grid, with longitude varying fastest and radius slowest.The first node is at the grid origin. The second node is at the grid origin, plus the grid spacing in longitude. This continues for the `nlon` longitude nodes. The `nlon+1`the point is then at the grid origin, plus the latitude spacing; and so on.<br>If there are `nr` radial nodes, `nlat` latitude nodes and `nlon` longitude nodes, then the following pseudocode shows how to read lines 5 forwards using the imaginary function `readline`, which reads a single real value from a plain text file and moves to the next line:<br>```# Comment: have already read the first four linesfor ir in 1:nr:for ilat in 1:nlat:for ilon in 1:nlon:grid[ir,ilat,ilon] = readline(file_handle)```<br>### Relocated hypocentres<br>4. `EQ_Hypocenters.out`<br>This is a plain text file containing the relocated hypocentres during the joint inversion for event location and velocity.<br>Each line is for a separate event, with the following columns:<br>[1] Elevation above sea level in km[2] Latitude in degrees east[3] Longitude in degrees north<br>
DOI: 10.18419/darus-862/239
title: case1_single_tracer_matrix_mpfa_2-00022.vtu

description: :unav
DOI: 10.18419/darus-862/240
title: case1_single_tracer_matrix_mpfa_1-00062.vtu

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DOI: 10.18419/darus-862/241
title: case1_single_tracer_fracture_mpfa_1-00053.vtu

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DOI: 10.18419/darus-862/242
title: case1_single_tracer_matrix_mpfa_2-00056.vtu

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DOI: 10.18419/darus-862/243
title: case1_single_tracer_matrix_mpfa_0-00066.vtu

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DOI: 10.18419/darus-862/244
title: case1_single_tracer_matrix_mpfa_0-00018.vtu

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