cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23729/8dab3e0f-e872-4119-ae76-6805aee8e7b2
title: Corpus of Australian and New Zealand Spoken English

description: The Corpus of Australian and New Zealand Spoken English (CoANZSE) is a 196-million-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from local government channels in Australia and New Zealand, created for the study of lexical, grammatical, and discourse-pragmatic phenomena of spoken language, as well as for content and language analysis in digital humanities and social science fields. Annotation includes individual word timings and video IDs of transcripts, making it easy to instantly view the video(s) for any given search. The corpus was created from 55,896 ASR transcripts from 472 YouTube channels, corresponding to almost 24,007 hours of video. The size of the corpus is 195,583,873 tokens. The channels sampled in the corpus are associated with local government entities such as local, city, county, district, and regional councils, and transcripts are from a range of video types. Recordings of public meetings are well-represented. Related resources are the Corpus of North American Spoken English, the Corpus of British Isles Spoken English, and the Corpus of German Speech. The untagged corpus is contained in the file coanzse_tokens_distributable_30062023.csv.gz. The PoS-tagged corpus with word timings is coanzse_textpos_distributable_30062023.csv.gz. The separator for both files is the pipe character "|". The files have the columns 'country', 'state', 'council_name', 'channel_title', 'channel_url', 'video_title', 'video_id', 'upload_date', 'video_length', 'location','nr_words','text_pos' (or 'text', in the untagged version), and 'latlong'. Each row corresponds to an individual transcript. In order to comply with Fair Use/Fair Dealing provisions of copyright law, the original ASR transcript files from YouTube have been transformed in this version of the corpus: Every 200 words, ten words have been replaced with "@". In the PoS-tagged and word-timed corpus, these tokens have the form @_XX_1.0. See also https://cc.oulu.fi/~scoats/CoANZSE.html
DOI: 10.57830/2297334
title: Global Observation Research Initiative in Alpine Environments (GLORIA) Vegetation datasets at monitoring sites associated with National Parks 2009-2021

description: Global Observation Research Initiative in Alpine Environments (GLORIA) Vegetation data package from 2009-2021 at Great Sand Dunes National Park, Pecos Wilderness, Rocky Mountain National Park, and Yellowstone National Park.  

Datasets includes:

1) Surface Cover in 1x1 meter quadrat frames
2) Vegetation Species Cover from 1x1 meter plots (both visually estimated cover and pointing hits)
3) Summit Area Sections surface cover
4) Summit Area Sections vascular vegetation
DOI: 10.57830/2297336
title: Wetlands Ecological Integrity Depth To Water Hand Measurements data package - Florissant Fossil Beds National Monument, Great Sand Dunes National Park, and Rocky Mountain National Park 2007-2022

description: Wetlands Ecological Integrity Depth to Water Hand Measurements from 2007-2022 Florissant Fossil Beds National Monument, Great Sand Dunes National Park and Rocky Mountain National Park.
DOI: 10.57830/2298557
title: Wetlands Ecological Integrity Sample Site and Sample Event metadata data package at Florissant Fossil Beds National Monument, Great Sand Dunes National Park, and Rocky Mountain National Park 2007-2022

description: Wetlands Ecological Integrity sample site and sample event metadata at Florissant Fossil Beds National Monument, Great Sand Dunes National Park, and Rocky Mountain National Park 2007-2022.
DOI: 10.57830/2298766
title: Wetlands Ecological Integrity Soil Chemistry Data at Florissant Fossil Beds National Monument, Great Sand Dunes National Park and Rocky Mountain National Park 2007-2021

description: Wetlands Ecological Integrity Soil Chemistry data from 2007-2021 at Florissant Fossil Beds National Monument, Great Sand Dunes National Park and Rocky Mountain National Park.
DOI: 10.57830/2298598
title: Wetlands Ecological Integrity Woody Vegetation at Florissant Fossil Beds National Monument, Great Sand Dunes National Park, and Rocky Mountain National Park 2007-2022.

description: Wetlands Ecological Integrity Woody Vegetation data from 2007-2022 at at Florissant Fossil Beds National Monument, Great Sand Dunes National Park, and Rocky Mountain National Park.
DOI: 10.57830/2293297
title: Streams Ecological Integrity (SEI) Discrete Logger data package at Glacier National Park, Grant-Kohrs Ranch Historical Site, Little Bighorn Battlefield National Monument and Rocky Mountain National Park 2007-2019.

description: Streams Ecological Integrity Discrete logger data package at Glacier National Park, Grant-Kohrs Ranch Historical Site, Little Bighorn Battlefield National Monument and Rocky Mountain National Park 2007-2019. This data package contains one discrete logger dataset, xml metadata in Ecological Monitoring Language format, a text based field attribute table (in addition to the xml metadata), and a package manifest list.
DOI: 10.57830/2298698
title: Ungulate Use Pellet Count Analysis data package - Great Sand Dunes National Park 2016-2022

description: Ungulate Use Pellet count data package from Wetlands Ecological Integrity (WEI) monitoring data 2016-2022 at Great Sand Dunes National Park.
DOI: 10.23729/f9b1dacd-5d3f-471c-a9c2-38dc22541e3e
title: Corpus of Australian and New Zealand Spoken English

description: The Corpus of Australian and New Zealand Spoken English (CoANZSE) is a 196-million-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from local government channels in Australia and New Zealand, created for the study of lexical, grammatical, and discourse-pragmatic phenomena of spoken language, as well as for content and language analysis in digital humanities and social science fields. Annotation includes individual word timings and video IDs of transcripts, making it easy to instantly view the video(s) for any given search. The corpus was created from 55,896 ASR transcripts from 472 YouTube channels, corresponding to almost 24,007 hours of video. The size of the corpus is 195,583,873 tokens. The channels sampled in the corpus are associated with local government entities such as local, city, county, district, and regional councils, and transcripts are from a range of video types. Recordings of public meetings are well-represented. Related resources are the Corpus of North American Spoken English, the Corpus of British Isles Spoken English, and the Corpus of German Speech. The untagged corpus is contained in the file coanzse_tokens_distributable_30062023.csv.gz. The PoS-tagged corpus with word timings is coanzse_textpos_distributable_30062023.csv.gz. The separator for both files is the pipe character "|". The files have the columns 'country', 'state', 'council_name', 'channel_title', 'channel_url', 'video_title', 'video_id', 'upload_date', 'video_length', 'location','nr_words','text_pos' (or 'text', in the untagged version), and 'latlong'. Each row corresponds to an individual transcript. In order to comply with Fair Use/Fair Dealing provisions of copyright law, the original ASR transcript files from YouTube have been transformed in this version of the corpus: Every 200 words, ten words have been replaced with "@". In the PoS-tagged and word-timed corpus, these tokens have the form @_XX_1.0. See also https://cc.oulu.fi/~scoats/CoANZSE.html
DOI: 10.6084/m9.figshare.19434197
title: N2 fixation rates, primary production, cyanobacterial community, and satellite-derived chlorophyll and dust aerosol optical depth data in the Bay of Bengal.

description: Dataset provides values for N<sub>2</sub> fixation, primary production and relative abundance of cyanobacterial communities along with the various environmental parameters for the Bay of Bengal sampled during the Indian spring inter-monsoon season. In addition, the minimum quantifiable rate (MQR) calculations for N<sub>2</sub> fixation rates and satellite-derived chlorophyll and dust aerosol optical depth data are also provided.
DOI: 10.6084/m9.figshare.19434197.v2
title: N2 fixation rates, primary production, cyanobacterial community and dust aerosol optical depth data in the Bay of Bengal.

description: Dataset provides values for N<sub>2</sub> fixation, primary production and relative abundance of cyanobacterial communities along with the various environmental parameters for the Bay of Bengal sampled during the Indian spring inter-monsoon season. In addition, the minimum quantifiable rate (MQR) calculations for N<sub>2</sub> fixation rates and dust aerosol optical depth data are also provided.
DOI: 10.5281/zenodo.8101681
title: BRDF Database - Bidirectional Reflectance Distribution Function

description: <strong>Introduction</strong> The MERL BRDF database contains reflectance functions of 100 different materials. Each reflectance function is stored as a densely measured Bidirectional Reflectance Distribution Function (BRDF). Sample code to read the data is included with the database (readBRDF.cpp). Note that parameterization of theta-half has changed. <strong>At a Glance</strong> The size of the unzipped dataset is ~3.25GB Folder “brdfs” contains the data. Folder “code” contains sample code. <strong>Citation</strong> If you use the BRDF dataset in your research, please cite our contribution: <pre><code>@article {Matusik:2003, author = "Wojciech Matusik and Hanspeter Pfister and Matt Brand and Leonard McMillan", title = "A Data-Driven Reflectance Model", journal = "ACM Transactions on Graphics", year = "2003", month = jul, volume = "22", number = "3", pages = "759-769" }</code></pre> <strong>License</strong> The BRDF dataset is released under CC-BY-SA-4.0 license. All data: <pre><code>Created by Mitsubishi Electric Research Laboratories (MERL), 2003, 2007, 2023 SPDX-License-Identifier: CC-BY-SA-4.0</code></pre>
DOI: 10.5281/zenodo.8101680
title: BRDF Database - Bidirectional Reflectance Distribution Function

description: <strong>Introduction</strong> The MERL BRDF database contains reflectance functions of 100 different materials. Each reflectance function is stored as a densely measured Bidirectional Reflectance Distribution Function (BRDF). Sample code to read the data is included with the database (readBRDF.cpp). Note that parameterization of theta-half has changed. <strong>At a Glance</strong> The size of the unzipped dataset is ~3.25GB Folder “brdfs” contains the data. Folder “code” contains sample code. <strong>Citation</strong> If you use the BRDF dataset in your research, please cite our contribution: <pre><code>@article {Matusik:2003, author = "Wojciech Matusik and Hanspeter Pfister and Matt Brand and Leonard McMillan", title = "A Data-Driven Reflectance Model", journal = "ACM Transactions on Graphics", year = "2003", month = jul, volume = "22", number = "3", pages = "759-769" }</code></pre> <strong>License</strong> The BRDF dataset is released under CC-BY-SA-4.0 license. All data: <pre><code>Created by Mitsubishi Electric Research Laboratories (MERL), 2003, 2007, 2023 SPDX-License-Identifier: CC-BY-SA-4.0</code></pre>
DOI: 10.5517/ccdc.csd.cc2cb0c3
title: CCDC 2184364: Experimental Crystal Structure Determination

description: Related Article: Ilona Mojzych, Anna Zawadzka, Katarzyna Kaczynska, Piotr Wojciechowski, Dominika Zając, Maciej Chotkowski, Katarzyna Wiktorska, Jan K Maurin, Maciej Mazur|2023|Phys.Chem.Chem.Phys.(PCCP)|25|16796|doi:10.1039/D3CP00767G
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.cc2fbd28
title: CCDC 2244309: Experimental Crystal Structure Determination

description: Related Article: Elena Gorenskaia, Jarred Potter, Marcus Korb, Colin Lambert, Paul J. Low|2023|Nanoscale|15|10573|doi:10.1039/D3NR01034A
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.cc2fbd39
title: CCDC 2244310: Experimental Crystal Structure Determination

description: Related Article: Elena Gorenskaia, Jarred Potter, Marcus Korb, Colin Lambert, Paul J. Low|2023|Nanoscale|15|10573|doi:10.1039/D3NR01034A
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.cc2fbd4b
title: CCDC 2244311: Experimental Crystal Structure Determination

description: Related Article: Elena Gorenskaia, Jarred Potter, Marcus Korb, Colin Lambert, Paul J. Low|2023|Nanoscale|15|10573|doi:10.1039/D3NR01034A
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.cc2fbd5c
title: CCDC 2244312: Experimental Crystal Structure Determination

description: Related Article: Elena Gorenskaia, Jarred Potter, Marcus Korb, Colin Lambert, Paul J. Low|2023|Nanoscale|15|10573|doi:10.1039/D3NR01034A
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.cc2fbd6d
title: CCDC 2244313: Experimental Crystal Structure Determination

description: Related Article: Elena Gorenskaia, Jarred Potter, Marcus Korb, Colin Lambert, Paul J. Low|2023|Nanoscale|15|10573|doi:10.1039/D3NR01034A
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.cc2fbd7f
title: CCDC 2244314: Experimental Crystal Structure Determination

description: Related Article: Elena Gorenskaia, Jarred Potter, Marcus Korb, Colin Lambert, Paul J. Low|2023|Nanoscale|15|10573|doi:10.1039/D3NR01034A
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.cc2fbd8g
title: CCDC 2244315: Experimental Crystal Structure Determination

description: Related Article: Elena Gorenskaia, Jarred Potter, Marcus Korb, Colin Lambert, Paul J. Low|2023|Nanoscale|15|10573|doi:10.1039/D3NR01034A
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.cc2fbd9h
title: CCDC 2244316: Experimental Crystal Structure Determination

description: Related Article: Elena Gorenskaia, Jarred Potter, Marcus Korb, Colin Lambert, Paul J. Low|2023|Nanoscale|15|10573|doi:10.1039/D3NR01034A
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.cc2fbdbj
title: CCDC 2244317: Experimental Crystal Structure Determination

description: Related Article: Elena Gorenskaia, Jarred Potter, Marcus Korb, Colin Lambert, Paul J. Low|2023|Nanoscale|15|10573|doi:10.1039/D3NR01034A
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: 10.6084/m9.figshare.22732190.v6
title: The dataset for the research synthesis of systematic literature reviews in software engineering

description: This dataset is used as a first step in understanding when an SLR in Software Engineering should be<br> conducted. A description of the data is provided in the READMe file.
DOI: 10.21942/uva.23579172
title: The canonical stopping network: Revisiting the role of the subcortex in response inhibition data

description: This repository contains one of the datasets used in the paper 'The canonical stopping network: Revisiting the role of the subcortex in response inhibition'. Due to GDPR restrictions we are unable to upload the unprocessed raw data. We instead here upload anonymized preprocessed subject data in MNI152NLin2009cAsym space. The deHollander_7T data from the published work 'Comparing functional MRI protocols for small, iron‐rich basal ganglia nuclei such as the subthalamic nucleus at 7 T and 3 T' is included, doi: 10.1002/hbm.23586. Please refer to the respective paper for a full description of the task, acquisition parameters and demographics.
DOI: 10.21942/uva.23579172.v1
title: The canonical stopping network: Revisiting the role of the subcortex in response inhibition data

description: This repository contains one of the datasets used in the paper 'The canonical stopping network: Revisiting the role of the subcortex in response inhibition'. Due to GDPR restrictions we are unable to upload the unprocessed raw data. We instead here upload anonymized preprocessed subject data in MNI152NLin2009cAsym space. The deHollander_7T data from the published work 'Comparing functional MRI protocols for small, iron‐rich basal ganglia nuclei such as the subthalamic nucleus at 7 T and 3 T' is included, doi: 10.1002/hbm.23586. Please refer to the respective paper for a full description of the task, acquisition parameters and demographics.
DOI: 10.7925/drs1.duchas_4723844
title: Lorg an Iarla

description: A collection of folklore and local history stories from Lorg an Iarla (school) (Lurganearly, Co. Monaghan), collected as part of the Schools' Folklore Scheme, 1937-1938 under the supervision of teacher E. Ní Choilldubh.
description: Thoughts after a Visit to the Fane Valley in Spring - Poem -- Poem / Powell, Winnie -- Poem / Douglas, Hannah -- Poems / Martin, Saidee -- Poem / Martin, Saidee -- Song / Martin, Saidee -- Hidden Treasure / Blackwood, Willie -- Funny Story / Martin, Saidee -- Funny Story / Powell, Winnie -- Funny Story / Douglas, Hanna -- Funny Story / Crozier, Miss E. -- Riddles -- Weather-Lore -- Local Heroes -- Local Heroes -- Local Heroes -- Severe Weather / Douglas, Hanna / Powell, Winnie -- Old Schools / Powell, Winnie -- Old Crafts -- Old Crafts / Martin, Saidee -- Tallow Candles / Douglas, Hanna -- Thatching / Douglas, Hannah -- Lime-Kiln / Martin, Saidee -- Soap Manufacture / Magill, Mary -- Linen Weaving -- Marriage Customs / Powell, Winnie -- Marriage Customs / Blackwood, W. -- Marriage Customs / Martin, Sadie -- Local Heroes / Powell, W. -- Local Place Names / Powell, Winnie -- Local Place Names / Douglas, Hannah -- Local Place Names -- Local Place Names / Magill, Mary -- Place Names / Martin, Sadie -- Bird-Lore -- Bird-Lore -- Local Cures -- Local Cures / Martin, Saidee -- Proverbs -- Homemade Toys -- Lore of Certain Days -- Travelling Folk / Powell, Winnie -- Travelling Folk -- Fairy Forts -- Fairy Story -- Fairy Story -- Local Poets -- Famine Times / Martin, Sadie -- Games I Play -- Game - The Frog in the Well -- Game - Draw a Pail of Water for My Lady's Daughter -- Bobby Bingo -- Ring a Ring a Rosy -- Galley Galley Ship / Douglas, Hanna -- Local Roads / Powell, Winnie -- Local Roads -- My Home District / Powell, Winnie -- My Home District -- My Home District / Magill, Mary -- My Home District -- Holy Wells -- Herbs -- Herbs -- Potato Crop / Douglas, Hannah -- Festival Customs / Powell, Winnie -- Care of Our Farm Animals -- Churning / Powell, Winnie -- Churning -- Care of the Feet -- Local Forge -- Local Forges / Martin, Sadie -- Clothes Made Locally / Martin, Sadie -- Story of the Holy Family / Traynor, James -- Local Fairs -- Landlord -- Food in Olden Times -- Hurling and Football Matches -- Old Story -- Old Story -- Old Story -- Old Irish Tales -- Bread -- Buying and Selling -- Buying and Selling / Powell, Winnie -- Old Houses / Powell, Winnie -- Stories of Giants and Warriors / Douglas, Hanna -- Stories of Giants and Warriors / Powell, Winnie -- Old Graveyards / Powell, Winnie -- Collection of Prayers / Powell, Winnie -- Emblems and Objects of Value / Powell, Winnie -- Strange Animals / Martin, Sadie -- Strange Animals / Powell, Winnie -- Strange Animals / Powell, Winnie -- Strange Animals / Douglas, Hanna -- Strange Animals / Traynor, James
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.