cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7925/drs1.duchas_4428334
title: Cronaghbois

description: A collection of folklore and local history stories from Cronaghbois (school) (Crannogeboy, Co. Donegal), collected as part of the Schools' Folklore Scheme, 1937-1938 under the supervision of teacher Criostóir Ó Beirn.
description: Riggidy Bull / #missing, -- Mermaid -- Once upon a time there was a woman and her husband who had friends in Glendowan, and she wanted to visit them...... -- Haunted House / #missing, -- Three Tailors -- Long ago there lived a man and his wife in a little house for they were very poor. / #missing, -- Long ago there lived a man who used to go out hunting every day. -- Long ago in the penal days a priest used to say mass at a little Altar at the "Coill" near Killsteward. -- Without title -- There was once upon a time a man who was looking for lodging. -- Signs of Good Weather -- Signs of Bad Weather -- Shipwreck -- Drowning -- Danish Wine -- Shoemaker -- Marriages -- Penal Times -- Loughos Point is an English speaking district. -- Old Schools -- Old Trades -- Place Names -- Wild Animals -- Clever Fox -- Cures -- Old Schools -- Guesses -- Famous People -- Pastimes -- Snaring Rabbits -- Fishing -- Special Days -- Bad Times -- Games -- Herbs -- Potatoes -- Feast Days -- Farm Animals -- Milking -- Horses -- How Animals are Called -- Churning -- Care of the Feet -- Smiths -- Tailors -- Pious or Holy Stones -- St Connell's Cross -- Fairs -- Meals -- Bread -- Peil agus Iomáin -- Handball -- Old Houses -- Leprechauns -- Prayers -- Holy Water -- Old Ruins -- Magic Pin -- Boy and the Water-Horse -- Proverbs
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4820146
title: Riddles

description: Story collected by Hanna Mc Carthy, a student at Knockaderry (C.) school (Knockaderry, Co. Kerry) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Hanna Mannix.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4820149
title: Folklore

description: Story collected by Maggie Browne, a student at Knockaderry (C.) school (Knockaderry, Co. Kerry) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Hanna Mannix.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4428335
title: Clochar

description: A collection of folklore and local history stories from Clochar (school) (Inishkeel, Co. Donegal), collected as part of the Schools' Folklore Scheme, 1937-1938 under the supervision of teacher Seán Mac Giolla Bhríghde.
description: Inis Caoil -- An Dóigh leis an Turas a Dhéanamh -- Fairy Tale -- Fenian Tale -- Customs of Hallow Eve -- Fairy Tale -- Wake Games -- Gleann Sráth Chaisil -- Wake Games -- Old Stories -- Hidden Treasure -- Story -- Place Names / Mórdha, Tomás Ó -- Place Names -- Story -- Old Story -- Special Days of the Year -- Story -- Story -- Story -- Story -- Games -- Local Story -- Local History
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4428336
title: Mín an Bhealaigh

description: A collection of folklore and local history stories from Mín an Bhealaigh (school) (Meenavally, Co. Donegal), collected as part of the Schools' Folklore Scheme, 1937-1938 under the supervision of teacher Pádraig Mac Niallghuis.
description: Gearrán Bán -- Cill na mBan -- Eascann Mhillteanach / Niallghuis, Pádraig S. Mac -- Scéal fá na Sióga -- Scéal Eile fá na Sióga i Mín na bPéacaighe -- Leabaidh Dhiarmuda -- Ag Déanamh Poitín -- Bean Sióg -- Poll a Mhurdal -- Spealadóirí Cáiliúla -- Tadg Bacach Ua Gallchobhair -- Táilliúr agus an Mada Rua -- Colm Cille agus an Coileach -- Ag Obair ar an Domhnach -- Ag Obair ar an Domhnach -- Ag Imirt Cártaí -- Scéal fá Thaibhse -- Scéal Eile fá Thaibhse -- Fear Gortach -- Scéal fá Oíche Bhealtaine -- Scéal Eile fá Oíche Bealtaine -- Stór faoin Talamh -- Ag Baint Móna -- Scéal fa Chroc Óir a Chuir Fear i bhFolach Áit Éigin faoin Talamh agus nach bhFuair Duine ar Bith ó Soin é -- Tobar Beannaithe -- Scéal fa Inis M -- Scéal fá Each Uisce -- Scéal fa Thaibhse -- Naomh Conall agus A Chlog
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4428337
title: Na Cruacha

description: A collection of folklore and local history stories from Na Cruacha (school) (Croaghgorm or Blue Stack Mountains, Co. Donegal), collected as part of the Schools' Folklore Scheme, 1937-1938 under the supervision of teacher Máire C. Ní Chinnéide.
description: Scéal - Loch Béal Séad / Chinnéide, Máire C. Ní -- Without title / Chinnéide, Máire C. Ní -- Tá loch amuig ag bun na gCruach Gorm agus sé an t-ainm atá air Loch Creachtha... / Chinnéide, Máire C. Ní -- Bhí tailliúr agus a bhean na gcomhnuidhe ar an Ghrafaí uair amháin bhí lán toighe de clainn aca... / Chinnéide, Máire C. Ní -- Carraigeacha Aifrinn fán Áit / Chinnéide, Máire C. Ní -- Áitainmneacha / Chinnéide, Máire C. Ní -- Ainmhithe Allta / Chinnéide, Máire C. Ní -- Seanfhocail / Chinnéide, Máire C. Ní -- Tomhaiseanna / Chinnéide, Máire C. Ní -- Cistí Óir i bhFolach / Chinnéide, Máire C. Ní -- Na Daoine Maithe / Chinnéide, Máire C. Ní -- Caiftín Ó Dochartaigh / Chinnéide, Máire C. Ní -- Scéalta Fada na hÁite - Na Trí Chailleacha / Chinnéide, Máire C. Ní -- tAthair agus an Dá Mhac / Chinnéide, Máire C. Ní -- Oisín agus Naomh Pádraig / Chinnéide, Máire C. Ní -- Diarmuid agus Gráinne / Chinnéide, Máire C. Ní -- Scéal - Móirí agus an Mada Rua / Chinnéide, Máire C. Ní -- Scéal - Loch Finne / Chaoimhghín, Máire Ní -- Scéal - An Fear Bocht agus an Fear Saibhir / Chinnéide, Máire C. Ní -- Scéal / Chinnéide, Máire C. Ní -- Bóithre an Cheantair / Chinnéide, Máire C. Ní -- Seanchas i dtaobh na hAimsire / Chinnéide, Máire C. Ní -- Leigheasanna / Chinnéide, Máire C. Ní -- Ainmhithe na Feirme / Chinnéide, Máire C. Ní -- tAonach / Chinnéide, Máire C. Ní -- Dilín na mBacach / Chinnéide, Máire C. Ní -- Pisreogaí / Chinnéide, Máire C. Ní -- Paidreacha / Chinnéide, Máire C. Ní -- Rudaí fe leith go mBíonn Meas Orthu / Chinnéide, Máire C. Ní -- Luibheanna / Chinnéide, Máire C. Ní -- Na Préataí - Bia na Seanaimsire / Chinnéide, Máire C. Ní -- Tithe na Seanaimsire / Chinnéide, Máire C. Ní -- Reilig / Chinnéide, Máire C. Ní -- Scéaltaí na hÁite - Seán agus Seón / Chinnéide, Máire C. Ní -- Murchadha Beag agus Murchadha Mór / Chinnéide, Máire C. Ní -- Scéal - Na Trí Chomhairle / Chinnéide, Máire C. Ní -- Scéal - An Toirtín Mór agus an Toirtín Beag / Chinnéide, Máire C. Ní -- Bí tíghearna na chomhnuidhe i nDún na nGall fad o shoin agus ní gníodh sé dadaích ach ar shuibhal leis ag seilig... / Chinnéide, Máire C. Ní -- Scéal - Dómhnall Gormlí / Chinnéide, Máire C. Ní -- Scéal - An Gasúr a Chuaigh ag Foghlaim Gadaíocht / Chinnéide, Máire C. Ní -- Bhí beirt gasur ann am amáin agus bhí siad ag di na scoile... / Chinnéide, Máire C. Ní -- Scéal - Na Triúr Iníonacha / Chinnéide, Máire C. Ní
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4428338
title: Ghrafaidh (Graffy)

description: A collection of folklore and local history stories from An Ghrafaidh (Graffy) (school) (Graffy, Co. Donegal), collected as part of the Schools' Folklore Scheme, 1937-1938 under the supervision of teacher Proinnsias Ua Braonáin.
description: Feardhomhan Crom / Chába, Róis Éilís Ní -- Mac an Dálaigh - An Fear Beag Ribeach Rua / Chába, Róis Éilís Ní -- Bhí seo ann agus más fadó bhí... / Aodha, Peadar Mac -- Tá abhainn ag dul fríd báile-fearainn an Grafaid ar a d'tugtar an Drúis... / Aodha, Cáitlin Nic -- Bhí sin ann agus fad ó shoin a bhí... / Gallchobhair, Dómhnall Ua -- Scéal / Ghallchobhair, Siobhan Ní -- Scéal / Ludhóg, Dómhnall Ua -- Am amháin bhí sean fhear i na chomhnuidhe i Gcondae Dhun Na Gall agus bhí a bhean marbh... / Bhraonáin, Máighread Ní -- Bhí fear agus bean na gcómhnuidhe i Doire-lochan agus ní rabh aca ach nighean amháin agus bhí sí pósta ar fear as Tír Eoghain... / Bhraonáin, Máighread Ní -- Scéal / Ludhóg, Dómhnall Ua -- Scéal / Luain, Séamus 'ac a -- Scéal / Baoighill, Seán Ua -- Pobal an tSléibhe / Bhraonáin, Máighread Máire Ní -- Scéal / dhómhnaill, Bríghid Ní -- Seanfhocla / Gallchobhair, Dómhnall Ua -- Seanfhocla / Bhraonáin, Máighread Ní -- Tomhais / Bhraonáin, Máighread Ní -- Tomhais / Ludhóg, Dómhnall Ua -- Tomhais / Ghallchobhair, Siobhan Ní -- Tomhais / Gallchobhair, Dómhnall Ua -- Féilí na Bliana -- Scéal / Bhraonáin, Máighread Máire Ní -- Seo mar gnidhear an dul sa tír bheir duine leis srangan agus cuireann sé snaom ar ceann do agus fágann sé súl ann leis an ceann eile do'n shrangann dul fríd... / Gallchobhair, Dómhnall Ua -- Gnásannaí -- Bean Sí / Bhraonáin, Máighread Máire Ní -- Scéal / Dhómhnaill, Meabha Ní -- Bhí tinclar ag siubhal thart fan tír seo am amhain... / Dhómhnaill, Bríghid Ní -- Scéal - Siógaí / Luain, Séamus 'ac a -- Lios Chailleoige / Ludhóg, Dómhnall Ua -- Croca Óir / Bhraonáin, Máighread Máire Ní -- Croca Óir / Bhraonáin, Máighread Ní -- Croca Óir / Chuinn, Nóra Seósaimhín Ní -- Scálán / Diarma, Séamus 'ac a -- Scáláin i Reilig / Gallchobhair, Dómhnall Ua -- Ainmneacha Áiteanna / Baoighill, Seán Ua -- Ainmneacha Áiteanna / Bhraonáin, Máighread Ní -- Ainmneacha Áiteanna / Gallchobhair, Dómhnall Ua -- Ainmneacha Áiteanna / Chuinn, Nóra Seósaimhín Ní -- Ainmneacha Áiteanna / Braonáin, Maighread Ní -- Bacaigh / Baoighill, Seághan Ua -- Dóigh a gCuirtear Preátaí / Bhraonáin, Máighread Ní -- Dóigh a gCuirtear Preátaí -- Seo mar gnidhear an cliabh sa n-áit seo... / Gallchobhair, Dómhnall Ua -- Is é seo andóig a mbhuailtear maistreadh tart annseo... / Bhraonáin, Máighread Máire Ní -- Baint na Móna -- Loch na gCailleach / Bhraonáin, Máighread Máire Ní
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.4121/21952685.v1
title: Supplementary data for the paper 'Predicting perceived risk of traffic scenes using computer vision'

description: Perceived risk, or subjective risk, is an important concept in the field of traffic psychology and automated driving. In this paper, we investigate whether perceived risk in images of traffic scenes can be predicted from computer vision features that may also be used by automated vehicles (AVs). We conducted an international crowdsourcing study with 1378 participants, who rated the perceived risk of 100 randomly selected dashcam images on German roads. The population-level perceived risk was found to be statistically reliable, with a split-half reliability of 0.98. We used linear regression analysis to predict (<em>r</em> = 0.62) perceived risk from two features obtained with the YOLOv4 computer vision algorithm: the number of people in the scene and the mean size of the bounding boxes surrounding other road users. When the ego-vehicle’s speed was added as a predictor variable, the prediction strength increased to <em>r</em> = 0.75. Interestingly, the sign of the speed prediction was negative, indicating that a higher vehicle speed was associated with a lower perceived risk. This finding aligns with the principle of self-explaining roads. Our results suggest that computer-vision features and vehicle speed contribute to an accurate prediction of population subjective risk, outperforming the ratings provided by individual participants (mean <em>r</em> = 0.41). These findings may have implications for AV development and the modeling of psychological constructs in traffic psychology.
DOI: 10.4121/21952685
title: Supplementary data for the paper 'Predicting perceived risk of traffic scenes using computer vision'

description: Perceived risk, or subjective risk, is an important concept in the field of traffic psychology and automated driving. In this paper, we investigate whether perceived risk in images of traffic scenes can be predicted from computer vision features that may also be used by automated vehicles (AVs). We conducted an international crowdsourcing study with 1378 participants, who rated the perceived risk of 100 randomly selected dashcam images on German roads. The population-level perceived risk was found to be statistically reliable, with a split-half reliability of 0.98. We used linear regression analysis to predict (<em>r</em> = 0.62) perceived risk from two features obtained with the YOLOv4 computer vision algorithm: the number of people in the scene and the mean size of the bounding boxes surrounding other road users. When the ego-vehicle’s speed was added as a predictor variable, the prediction strength increased to <em>r</em> = 0.75. Interestingly, the sign of the speed prediction was negative, indicating that a higher vehicle speed was associated with a lower perceived risk. This finding aligns with the principle of self-explaining roads. Our results suggest that computer-vision features and vehicle speed contribute to an accurate prediction of population subjective risk, outperforming the ratings provided by individual participants (mean <em>r</em> = 0.41). These findings may have implications for AV development and the modeling of psychological constructs in traffic psychology.
DOI: 10.4121/20179856.v1
title: Data accompanying the paper entitled "Fault weakening during short seismic slip pulse experiments: Implications for induced earthquakes in the Groningen gas field"

description: In the Groningen gas field of the Netherlands, induced seismic events have occurred since the 1990s. The strongest event occurred in 2012 with a magnitude of MW 3.6. How faults slip during such small magnitude earthquakes (i.e., magnitude 3 – 4) is not clear, despite several recent studies. We conduct laboratory experiments to simulate the pulse-like (i.e. short but rapid) fault slip behavior characteristic for small magnitude human-induced seismicity, using a newly designed experimental set-up enabling monitoring of the slip behavior under stress and displacement closer to conditions relevant to faults in Groningen. The enclosed dataset is the compressed file ('.rar'), which consists of 1) a table listing the information of all the experiments, 2) 84 data files ('.txt') of the smoothed data (~every 66 datapoints) for all the experiments. Note that one single experiment may contain 2-5 files (i.e. segments of records), and 3) 198 graphs showing the preliminary results ('.emf'). The title of the individual graphs correspond to the names of the data files.
DOI: 10.4121/20179856.v2
title: Data accompanying the paper entitled "Fault weakening during short seismic slip pulse experiments: The role of pressurized water and implications for induced earthquakes in the Groningen gas field"

description: In the Groningen gas field of the Netherlands, induced seismic events have occurred since the 1990s. The strongest event occurred in 2012 with a magnitude of MW 3.6. How faults slip during such small magnitude earthquakes (i.e., magnitude 3 – 4) is not clear, despite several recent studies. We conduct laboratory experiments to simulate the pulse-like (i.e. short but rapid) fault slip behavior characteristic for small magnitude human-induced seismicity, using a newly designed experimental set-up enabling monitoring of the slip behavior under stress and displacement closer to conditions relevant to faults in Groningen. The enclosed dataset, "Data submitted to 4TU.Researchdata" is the compressed file ('.rar'), which consists of 1) a table listing the information of all the experiments, 2) 82 data files ('.txt') of the smoothed data (~every 66 datapoints) for all the experiments. Note that one single experiment may contain 2-5 files (i.e. segments of records), and 3) 198 graphs showing the preliminary results ('.emf'). The title of the individual graphs correspond to the names of the data files. The dataset "RawData submitted to 4TU.Researchdata" contains the raw data of the 82 data files ('.csv').
DOI: 10.4121/20179856
title: Data accompanying the paper entitled "Fault weakening during short seismic slip pulse experiments: The role of pressurized water and implications for induced earthquakes in the Groningen gas field"

description: In the Groningen gas field of the Netherlands, induced seismic events have occurred since the 1990s. The strongest event occurred in 2012 with a magnitude of MW 3.6. How faults slip during such small magnitude earthquakes (i.e., magnitude 3 – 4) is not clear, despite several recent studies. We conduct laboratory experiments to simulate the pulse-like (i.e. short but rapid) fault slip behavior characteristic for small magnitude human-induced seismicity, using a newly designed experimental set-up enabling monitoring of the slip behavior under stress and displacement closer to conditions relevant to faults in Groningen. The enclosed dataset, "Data submitted to 4TU.Researchdata" is the compressed file ('.rar'), which consists of 1) a table listing the information of all the experiments, 2) 82 data files ('.txt') of the smoothed data (~every 66 datapoints) for all the experiments. Note that one single experiment may contain 2-5 files (i.e. segments of records), and 3) 198 graphs showing the preliminary results ('.emf'). The title of the individual graphs correspond to the names of the data files. The dataset "RawData submitted to 4TU.Researchdata" contains the raw data of the 82 data files ('.csv').
DOI: 10.4121/21878148.v1
title: Questionnaire data on Optimizing the educational management system at the level of higher education, by providing feedback from Generation Z. The expectations of Generation Z regarding the university educational act in Romania.

description: The file presents the coded data following the application of two feedback questionnaires: the SKS method – a qualitative approach to obtain feedback through 3 questions and the classic feedback request form – a quantitative approach, supported by 7 questions with multiple choices. The research aims to develop an innovative feedback tool for the higher education engineering sector to support the improvement of learning outcomes-oriented curricula and teaching activities to better meet the learning needs of students, while being relevant to the labor market and for society in general. Data were collected through Google Forms and interpreted using IBM SPSS Statistics v23.
DOI: 10.4121/21878148
title: Questionnaire data on Optimizing the educational management system at the level of higher education, by providing feedback from Generation Z. The expectations of Generation Z regarding the university educational act in Romania.

description: The file presents the coded data following the application of two feedback questionnaires: the SKS method – a qualitative approach to obtain feedback through 3 questions and the classic feedback request form – a quantitative approach, supported by 7 questions with multiple choices. The research aims to develop an innovative feedback tool for the higher education engineering sector to support the improvement of learning outcomes-oriented curricula and teaching activities to better meet the learning needs of students, while being relevant to the labor market and for society in general. Data were collected through Google Forms and interpreted using IBM SPSS Statistics v23.
DOI: 10.4121/21950588.v1
title: Preprocessed dataset for the paper "Make some noise. unleashing the power of convolutional neural networks for profiled side-channel analysis"

description: Preprocessed dataset for the paper "Make some noise. unleashing the power of convolutional neural networks for profiled side-channel analysis" This entry contains the preprocessed dataset in NumPy binary format. The dataset is derived from 4 different datasets: http://www.dpacontest.org/v4/ https://github.com/AESHD/AES_HD_Dataset https://github.com/ikizhvatov/randomdelays-traces https://github.com/ANSSI-FR/ASCAD The dataset is specifically processed to run the experimental routine provided in the separate repository. Contributors Jaehun Kim Stjepan Picek Annelie Heuser Shivam Bhasin Alan Hanjalic <br> <br> <br>
DOI: 10.4121/21950588
title: Preprocessed dataset for the paper "Make some noise. unleashing the power of convolutional neural networks for profiled side-channel analysis"

description: Preprocessed dataset for the paper "Make some noise. unleashing the power of convolutional neural networks for profiled side-channel analysis" This entry contains the preprocessed dataset in NumPy binary format. The dataset is derived from 4 different datasets: http://www.dpacontest.org/v4/ https://github.com/AESHD/AES_HD_Dataset https://github.com/ikizhvatov/randomdelays-traces https://github.com/ANSSI-FR/ASCAD The dataset is specifically processed to run the experimental routine provided in the separate repository. Contributors Jaehun Kim Stjepan Picek Annelie Heuser Shivam Bhasin Alan Hanjalic <br> <br> <br>
DOI: 10.4121/21947618.v1
title: Comfort-oriented driving: performance comparison between human drivers and motion planners (Dataset)

description: The name of the dataset is derived from 'WOerden West Experiment on human Driving performance'. It contains 14 MAT files, each with the data of a recorded run from our on-road driving experiment with publicly recruited participants. The details of the study are described in an article currently in review at IEEE Transactions on Intelligent Transportation Systems. A link to the article will be added once it is available online. In each file, there are 5 struct variables: 'GPS', 'IMU', 'EST', 'Opt_AC' and 'Opt_MS'. GPS and IMU contain the raw measurement data from onboard sensors. EST is the optimal estimate of vehicle motion calculated from the measurements using the numerical optimization technique. Opt_AC and Opt_MS are the optimal motion profiles computed by our optimization-based motion planners, the former focusing on optimizing acceleration comfort while the latter on minimizing motion sickness.
DOI: 10.4121/21947618
title: Comfort-oriented driving: performance comparison between human drivers and motion planners (Dataset)

description: The name of the dataset is derived from 'WOerden West Experiment on human Driving performance'. It contains 14 MAT files, each with the data of a recorded run from our on-road driving experiment with publicly recruited participants. The details of the study are described in an article currently in review at IEEE Transactions on Intelligent Transportation Systems. A link to the article will be added once it is available online. In each file, there are 5 struct variables: 'GPS', 'IMU', 'EST', 'Opt_AC' and 'Opt_MS'. GPS and IMU contain the raw measurement data from onboard sensors. EST is the optimal estimate of vehicle motion calculated from the measurements using the numerical optimization technique. Opt_AC and Opt_MS are the optimal motion profiles computed by our optimization-based motion planners, the former focusing on optimizing acceleration comfort while the latter on minimizing motion sickness.