cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2fczmf
title: CSD 2245845: Experimental Crystal Structure Determination

description: Related Article: Peng-Fei Chen, Chun-Li Hu, Ming-Yang Cao, Xue-Ying Zhang, Jiang-Gao Mao|2023|Inorg.Chem.|62|6864|doi:10.1021/acs.inorgchem.3c00722
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fczng
title: CSD 2245846: Experimental Crystal Structure Determination

description: Related Article: Peng-Fei Chen, Chun-Li Hu, Ming-Yang Cao, Xue-Ying Zhang, Jiang-Gao Mao|2023|Inorg.Chem.|62|6864|doi:10.1021/acs.inorgchem.3c00722
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc283bpf
title: CSD 2088584: Experimental Crystal Structure Determination

description: Related Article: Xiao-Fei Li, Kui Wang, Chao He, Jin-Hua Li, Xing-Tao An, Jie Pan, Qi Wei, Guo-Ming Wang, Guo-Yu Yang|2023|Inorg.Chem.|62|7123|doi:10.1021/acs.inorgchem.3c00879
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fpccw
title: CCDC 2254858: Experimental Crystal Structure Determination

description: Related Article: Md. Hasan Al Banna, Monir Uzzaman, Md Abu Saleh, Ennio Zangrando, Md. Belayet Hossain Howlader, Md. Rezaul Haque Ansary, Ryuta Miyatake, Md. Chanmiya Sheikh|2024|J.Mol.Struct.|1295|136698|doi:10.1016/j.molstruc.2023.136698
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fpdxg
title: CCDC 2254906: Experimental Crystal Structure Determination

description: Related Article: Md. Hasan Al Banna, Monir Uzzaman, Md Abu Saleh, Ennio Zangrando, Md. Belayet Hossain Howlader, Md. Rezaul Haque Ansary, Ryuta Miyatake, Md. Chanmiya Sheikh|2024|J.Mol.Struct.|1295|136698|doi:10.1016/j.molstruc.2023.136698
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fpk0q
title: CCDC 2255033: Experimental Crystal Structure Determination

description: Related Article: Wenqian Li, Wencui Li, Xin Liu, Dongsheng Zhao, Liying Liu, Jingrui Yin, Xiaoting Li, Guoying Zhang, Liming Fan|2023|Cryst.Growth Des.|23|7716|doi:10.1021/acs.cgd.3c00478
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2fr6br
title: CSD 2256624: Experimental Crystal Structure Determination

description: Related Article: Yue-Ling Sun, Gang-Xiang Liu, Yi-Lei Lv, Liang Ma, Wen-Dong Yao, Ru-Ling Tang|2023|J.Solid State Chem.|325|124171|doi:10.1016/j.jssc.2023.124171
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2frvsv
title: CCDC 2257258: Experimental Crystal Structure Determination

description: Related Article: Jiajing Wu, Jing-Li Qi, Yue Guo, Shufang Yan, Wenlong Liu, Sheng-Ping Guo|2023|Inorg.Chem.Front.|11|156|doi:10.1039/D3QI01739G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2frvtw
title: CCDC 2257259: Experimental Crystal Structure Determination

description: Related Article: Jiajing Wu, Jing-Li Qi, Yue Guo, Shufang Yan, Wenlong Liu, Sheng-Ping Guo|2023|Inorg.Chem.Front.|11|156|doi:10.1039/D3QI01739G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/7254238
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.5281/zenodo.10407136
title: Dataset for the publication "The Resource Demand of Multi-Terawatt Scale Perovskite Tandem Photovoltaics"
DOI: 10.5281/zenodo.10407137
title: Dataset for the publication "The Resource Demand of Multi-Terawatt Scale Perovskite Tandem Photovoltaics"
DOI: 10.25919/0qbv-cv06
title: Tungsten speciation in hydrothermal fluids

description: This collection contains tungsten ab initio molecular dynamics simulation results and synchrotron-based X-ray Absorption Spectra data. This collection also includes thermodynamics data of tungsten complexation at high temperature and pressure.
DOI: 10.5281/zenodo.10418092
title: Data of "Grazing intensity and horn status influence activity on pasture, physiological pre-slaughter reactions and meat quality in beef heifers"

description: Raw data of the article of "Grazing intensity and horn status influence activity on pasture, physiological pre-slaughter reactions and meat quality in beef heifers". Dataset of 64 crossbred beef heifers. Both experimental independent variables (animal id, horn status, grazing intensity, replicate) and dependent variables (related to physical activity on pasture, behaviour tests, stress physiology and meat quality) are presented.
DOI: 10.5281/zenodo.10418093
title: Data of "Grazing intensity and horn status influence activity on pasture, physiological pre-slaughter reactions and meat quality in beef heifers"

description: Raw data of the article of "Grazing intensity and horn status influence activity on pasture, physiological pre-slaughter reactions and meat quality in beef heifers". Dataset of 64 crossbred beef heifers. Both experimental independent variables (animal id, horn status, grazing intensity, replicate) and dependent variables (related to physical activity on pasture, behaviour tests, stress physiology and meat quality) are presented.
DOI: 10.5281/zenodo.10418140
title: Supplementary methods
DOI: 10.5281/zenodo.10418141
title: Supplementary methods
DOI: 10.5281/zenodo.10004772
title: Hotspot propensity across mutational processes
title: Hotspots identified by HotspotFinder

description: Mutational hotspots identified by HotspotFinder from 49 cancer types analysed in: Arnedo-Pac C, Muiños F, Gonzalez-Perez A, Lopez-Bigas N. Hotspot propensity across mutational processes. Mol Syst Biol. 2023:1-22. doi: doi.org/10.1038/s44320-023-00001-w

Hotspots have been computed using somatic mutations in each cancer type, after excluding those overlapping cancer driver elements. HotspotFinder has been run with a threshold of 2 mutated samples per hotspot and using alternate specific mutations. For additional details, please check Materials and Methods and Appendix Note 1 in our manuscript.

HotspotFinder code is available at: bitbucket.org/bbglab/hotspotfinder

Source code to reproduce this data can be found at: github.com/bbglab/hotspot_propensity

Cancer type identifiers are listed as follows:



Acute Lymphoblastic Leukemia (ALL)

Acute Myeloid Leukemia (AML)

Adrenocortical Carcinoma (ACC)

Anal Cancer (AN)

Basal Cell Carcinoma (BCC)

Biliary Tract (BILIARY_TRACT)

Bladder/Urinary Tract (BLADDER_URI)

Bone/Soft Tissue (BONE_SOFT_TISSUE)

Bowel (BOWEL)

CNS/Brain (BRAIN)

Cervix (CERVIX)

Colorectal Adenocarcinoma (COADREAD)

Cutaneous Melanoma (SKCM)

Cutaneous Squamous Cell Carcinoma (CSCC)

Endometrial Carcinoma (UCEC)

Ependymoma (EPM)

Esophageal cancer (ES)

Esophagus/Stomach cancers (ESOPHA_STOMACH)

Glioblastoma Multiforme (GBM)

Head and Neck (HEAD_NECK)

High-Grade Glioma NOS (HGGNOS)

Invasive Breast Carcinoma (BRCA)

Kidney (KIDNEY)

Liver (LIVER)

Low-Grade Glioma NOS (LGGNOS)

Lung (LUNG)

Lung Neuroendocrine Tumor (LNET)

Lymphoid Neoplasm (LNM)

Medulloblastoma (MBL)

Myeloid Neoplasm (MNM)

Myeloproliferative Neoplasms (MPN)

Neuroblastoma (NBL)

Non-Hodgkin Lymphoma (NHL)

Non-Small Cell Lung Cancer (NSCLC)

Oligodendroglioma (ODG)

Ovarian Cancer (OV)

Pan-cancer (PANCANCER)

Pancreas (PANCREAS)

Pilocytic Astrocytoma (PAST)

Pleural Mesothelioma (PLMESO)

Prostate (PROSTATE)

Retinoblastoma (RBL)

Skin (SKIN)

Small Bowel Cancer (SBC)

Small Bowel Neuroendocrine Tumor (SBNET)

Small Cell Lung Cancer (SCLC)

Stomach cancer (ST)

Thyroid (THYROID)

Vulva (VULVA)
DOI: 10.5281/zenodo.10004773
title: Hotspot propensity across mutational processes
title: Hotspots identified by HotspotFinder

description: Mutational hotspots identified by HotspotFinder from 49 cancer types analysed in: Arnedo-Pac C, Muiños F, Gonzalez-Perez A, Lopez-Bigas N. Hotspot propensity across mutational processes. Mol Syst Biol. 2023:1-22. doi: doi.org/10.1038/s44320-023-00001-w

Hotspots have been computed using somatic mutations in each cancer type, after excluding those overlapping cancer driver elements. HotspotFinder has been run with a threshold of 2 mutated samples per hotspot and using alternate specific mutations. For additional details, please check Materials and Methods and Appendix Note 1 in our manuscript.

HotspotFinder code is available at: bitbucket.org/bbglab/hotspotfinder

Source code to reproduce this data can be found at: github.com/bbglab/hotspot_propensity

Cancer type identifiers are listed as follows:



Acute Lymphoblastic Leukemia (ALL)

Acute Myeloid Leukemia (AML)

Adrenocortical Carcinoma (ACC)

Anal Cancer (AN)

Basal Cell Carcinoma (BCC)

Biliary Tract (BILIARY_TRACT)

Bladder/Urinary Tract (BLADDER_URI)

Bone/Soft Tissue (BONE_SOFT_TISSUE)

Bowel (BOWEL)

CNS/Brain (BRAIN)

Cervix (CERVIX)

Colorectal Adenocarcinoma (COADREAD)

Cutaneous Melanoma (SKCM)

Cutaneous Squamous Cell Carcinoma (CSCC)

Endometrial Carcinoma (UCEC)

Ependymoma (EPM)

Esophageal cancer (ES)

Esophagus/Stomach cancers (ESOPHA_STOMACH)

Glioblastoma Multiforme (GBM)

Head and Neck (HEAD_NECK)

High-Grade Glioma NOS (HGGNOS)

Invasive Breast Carcinoma (BRCA)

Kidney (KIDNEY)

Liver (LIVER)

Low-Grade Glioma NOS (LGGNOS)

Lung (LUNG)

Lung Neuroendocrine Tumor (LNET)

Lymphoid Neoplasm (LNM)

Medulloblastoma (MBL)

Myeloid Neoplasm (MNM)

Myeloproliferative Neoplasms (MPN)

Neuroblastoma (NBL)

Non-Hodgkin Lymphoma (NHL)

Non-Small Cell Lung Cancer (NSCLC)

Oligodendroglioma (ODG)

Ovarian Cancer (OV)

Pan-cancer (PANCANCER)

Pancreas (PANCREAS)

Pilocytic Astrocytoma (PAST)

Pleural Mesothelioma (PLMESO)

Prostate (PROSTATE)

Retinoblastoma (RBL)

Skin (SKIN)

Small Bowel Cancer (SBC)

Small Bowel Neuroendocrine Tumor (SBNET)

Small Cell Lung Cancer (SCLC)

Stomach cancer (ST)

Thyroid (THYROID)

Vulva (VULVA)
DOI: 10.5281/zenodo.10254837
title: Supplementary Data for: A time-calibrated 'Tree of Life' of aquatic insects for knitting historical patterns of evolution and measuring extant phylogenetic biodiversity across the world

description: This compendium of files includes the dated phylogenetic tree in Newick format (Data S1), the list of statistical routines used for the three empirical case studies (Data S2), and the high-resolution version of the figures in the supplementary materials and main text (Data S3) for the Earth-Science Reviews paper "A time-calibrated ‘Tree of Life’ of aquatic insects for knitting historical patterns of evolution and measuring extant phylogenetic biodiversity across the world", which is under consideration. The best-scoring molecular tree (Data S1) can be opened using freely available programs like R (R Development Core Team, 2021), Dendroscope (Huson and Scornavacca, 2012), and FigTree (Rambaut, 2018).


Please, feel free to send an email to the maintainer Dr. Jorge García Girón (jogarg@unileon.es OR Jorge.Garcia-Giron@oulu.fi) if you face any trouble downloading, opening, or using these files.



	
Huson, D. H., & Scornavacca, C. (2012). Dendroscope 3: An interactive tool for rooted phylogenetic trees and networks. Systematic Biology, 61(6), 1061–1067.
	
R Development Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/
	
Rambaut, A. (2018). FigTree. Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK. http://tree.bio.ed.ac.uk/software/figtree/
description: This work was supported by the Academy of Finland [grant number 331957]; the European Union Next Generation EU/PRTR [grant number AG325]; the ICREA Academia 2021 award from the Catalan Institution for Research and Advanced Studies; the National Natural Science Foundation of China [grant numbers U22A20454 and 32271664]; the Scientific Grant Agency of the Ministry of Education, Science, Research, and Sport of the Slovak Republic and the Slovak Academy of Sciences VEGA [grant number 2/0084/21]; the Spanish Ministry of Economy and Competitiveness [grant number CTM2017-89295-P, cofounded by the European Regional Development Fund]; and the Spanish Ministry for Science and Innovation [grant numbers RYC2020-029829-I and PID2022-140081OB-100].
DOI: 10.5281/zenodo.7990254
title: Supplementary Data for: A time-calibrated 'Tree of Life' of aquatic insects for knitting historical patterns of evolution and measuring extant phylogenetic biodiversity across the world

description: This compendium of files includes the dated phylogenetic tree in Newick format (Data S1), the list of statistical routines used for the three empirical case studies (Data S2), and the high-resolution version of the figures in the supplementary materials and main text (Data S3) for the Earth-Science Reviews paper "A time-calibrated ‘Tree of Life’ of aquatic insects for knitting historical patterns of evolution and measuring extant phylogenetic biodiversity across the world", which is under consideration. The best-scoring molecular tree (Data S1) can be opened using freely available programs like R (R Development Core Team, 2021), Dendroscope (Huson and Scornavacca, 2012), and FigTree (Rambaut, 2018).


Please, feel free to send an email to the maintainer Dr. Jorge García Girón (jogarg@unileon.es OR Jorge.Garcia-Giron@oulu.fi) if you face any trouble downloading, opening, or using these files.



	
Huson, D. H., & Scornavacca, C. (2012). Dendroscope 3: An interactive tool for rooted phylogenetic trees and networks. Systematic Biology, 61(6), 1061–1067.
	
R Development Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/
	
Rambaut, A. (2018). FigTree. Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK. http://tree.bio.ed.ac.uk/software/figtree/
description: This work was supported by the Academy of Finland [grant number 331957]; the European Union Next Generation EU/PRTR [grant number AG325]; the ICREA Academia 2021 award from the Catalan Institution for Research and Advanced Studies; the National Natural Science Foundation of China [grant numbers U22A20454 and 32271664]; the Scientific Grant Agency of the Ministry of Education, Science, Research, and Sport of the Slovak Republic and the Slovak Academy of Sciences VEGA [grant number 2/0084/21]; the Spanish Ministry of Economy and Competitiveness [grant number CTM2017-89295-P, cofounded by the European Regional Development Fund]; and the Spanish Ministry for Science and Innovation [grant numbers RYC2020-029829-I and PID2022-140081OB-100].
DOI: 10.5281/zenodo.7990255
title: Supplementary Data for: A time-calibrated 'Tree of Life' of aquatic insects for knitting historical patterns of evolution and measuring extant phylogenetic biodiversity across the world

description: This compendium of files includes the dated phylogenetic tree in Newick format (<strong>Data S1</strong>), the list of statistical routines used for the three empirical case studies (<strong>Data S2</strong>), and the high-resolution version of the figures in the supplementary materials and main text (<strong>Data S3</strong>) for the <em>Earth-Science Reviews</em> paper "A time-calibrated ‘Tree of Life’ of aquatic insects for knitting historical patterns of evolution and measuring extant phylogenetic biodiversity across the world", which is under consideration. The best-scoring molecular tree (<strong>Data S1</strong>) can be opened using freely available programs like R (R Development Core Team, 2021), Dendroscope (Huson and Scornavacca, 2012), and FigTree (Rambaut, 2018). Please, feel free to send an email to the maintainer Dr. Jorge García Girón (jogarg@unileon.es OR Jorge.Garcia-Giron@oulu.fi) if you face any trouble downloading, opening, or using these files. Huson, D. H., & Scornavacca, C. (2012). Dendroscope 3: An interactive tool for rooted phylogenetic trees and networks. <em>Systematic Biology</em>, <em>61(6)</em>, 1061–1067. R Development Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/ Rambaut, A. (2018). FigTree. Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK. http://tree.bio.ed.ac.uk/software/figtree/
description: This work was supported by the Academy of Finland [grant number 331957]; the European Union Next Generation EU/PRTR [grant number AG325]; the ICREA Academia 2021 award from the Catalan Institution for Research and Advanced Studies; the National Natural Science Foundation of China [grant numbers U22A20454 and 32271664]; the Scientific Grant Agency of the Ministry of Education, Science, Research, and Sport of the Slovak Republic and the Slovak Academy of Sciences VEGA [grant number 2/0084/21]; the Spanish Ministry of Economy and Competitiveness [grant number CTM2017-89295-P, cofounded by the European Regional Development Fund]; and the Spanish Ministry for Science and Innovation [grant number RYC2020-029829-I].
DOI: 10.25625/m7vore/xnd1vg
title: datenhandbuch_ndm_2019_v01.pdf

description: Datenhandbuch / Codebook
DOI: 10.25625/m7vore/jt5ofg
title: NDM_2019_final.tab

description: Datensatz / data set
DOI: 10.25625/m7vore
title: Niedersächsischer Demokratie-Monitor 2019. Datensatz und Datenhandbuch

description: Niedersächsicher Demokratie-Monitor (NDM) 2019 Umfrage-Daten: Datensatz und Datenhandbuch // Lower Saxony Democracy Monitor (NDM) 2019 Survey Data: Data Set and Codebook
DOI: 10.5281/zenodo.10418178
title: AHPC - JMBD segmentation ground truth

description: GT segmentation for the JMBD series from AHPC corpus.

Images are under request by PARES
DOI: 10.5281/zenodo.10418179
title: AHPC - JMBD segmentation ground truth

description: GT segmentation for the JMBD series from AHPC corpus.

Images are under request by PARES
DOI: 10.5281/zenodo.10418195
title: THE RESEARCHES IN UZBEKISTAN ON THE STUDY OF THE TEMURIDS PERIOD OF HERITAGE STORED IN LARGE MUSEUMS AND LIBRARIES OF TURKEY
DOI: 10.5281/zenodo.10418196
title: THE RESEARCHES IN UZBEKISTAN ON THE STUDY OF THE TEMURIDS PERIOD OF HERITAGE STORED IN LARGE MUSEUMS AND LIBRARIES OF TURKEY
DOI: 10.5281/zenodo.10418206
title: VAEL HALLAQNING "IMKONSIZ DAVLAT" KITOBI HAQIDA FIKRLAR
DOI: 10.5281/zenodo.10418207
title: VAEL HALLAQNING "IMKONSIZ DAVLAT" KITOBI HAQIDA FIKRLAR
DOI: 10.7925/drs1.duchas_4667978
title: Story

description: Story collected by Maureen Culhane, a student at Murher (C.) school (Murher, Co. Kerry) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Máire, Bean Uí Chonaill.
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_4938392
title: Houses

description: Story collected by Eily Anglim, a student at Móin na nGé (C.), An Caisleán Nua school (Glebe, Co. Limerick) from informant Richard Anglim.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Máire, Bean Uí Eachtigheirn.
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_4479212
title: Old Relics

description: Story collected by Nora Boyle, a student at Bearnas Mór school (Keadew Upper, Co. Donegal) from informant Mr Boyle.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Seosamh P. Ó Ceallacháin.
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_4667979
title: Hidden Treasure

description: Story collected by a student at Ardrahan, Mainistir Ó dTórna school (Ardrahan, Co. Kerry) from informant Mrs John Carroll.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Bean Uí Dhonnabháin.
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_4479213
title: Giants and Witches

description: Story collected by Kathleen Colhoun, a student at Bearnas Mór school (Keadew Upper, Co. Donegal) from informant Mr Colhoun.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Seosamh P. Ó Ceallacháin.
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.