cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25318/3610065601-eng
title: Balance of international payments, flows of Canadian direct investment abroad and foreign direct investment in Canada on a gross and net basis, quarterly

description: Canada's international flows on Canadian direct investment abroad and foreign direct investment in Canada. Quarterly data are available by type of direct investment flows for goods and services producing industries for United States and all other countries.
DOI: 10.25318/3610065601-fra
title: Balance des paiements internationaux, flux d'investissements directs canadiens à l'étranger et investissements directs étrangers au Canada sur une base brute et nette, trimestriel

description: Les flux internationaux du Canada en investissements directs canadiens à l'étranger et en investissements directs étrangers au Canada. Les données trimestrielles sont disponibles par catégorie de flux pour les industries productrices de biens et de services pour les États-Unis et pour tous les autres pays.
DOI: 10.6084/m9.figshare.14744400
title: Dataset

description: Dataset
DOI: 10.5255/ukda-sn-854118
title: Health Information Seeking Behaviour Study in Bangladesh: Household Survey and Qualitative Study, 2012-2016

description: To explore the role of ICTs in health information seeking, the UK Institute of Development Studies (IDS) and the International Center for Diarrhoeal Disease Research, Bangladesh (ICDDR,B) jointly conducted two household surveys. The first, during March to May 2014 was in three locations of Bangladesh; Chakaria (a rural sub-district), Mirzapur (a peri-urban sub-district) and Dhaka (five largest slums of the capital city). The second survey in August 2015 was of students at colleges in Chakaria and Mirzapur to study the behaviour of presumed early adaptors of mobile phone based access to the internet. Qualitative methods were used to probe more deeply into the attitudes of people to different sources of health information and explore the process of diffusion of new types of health-information seeking behaviour. The first stage of qualitative work provided insights that both informed the final shape of the quantitative survey and provided qualitative data. Thereafter special studies examined in greater depth special areas of interest, such as individuals and groups with specific conditions or exemplifying emergent behaviours.
DOI: 10.15468/7mpx6v
title: New data on the Triassic temnospondyls from the Karoo rift basins of Tanzania and Zambia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Steyer, Jean-Sébastien, Peecook, Brandon R., Arbez, Thomas, Nesbitt, Sterling J., Tolan, Steve, Stocker, Michelle R., Smith, Roger M. H., Angielczyk, Kenneth D., Sidor, Christian A. (2021): New data on the Triassic temnospondyls from the Karoo rift basins of Tanzania and Zambia. Geodiversitas 43 (12): 365-376, DOI: http://doi.org/10.5281/zenodo.4906293
DOI: 10.6084/m9.figshare.13619273
title: Tetrahydroxanthohumol, a xanthohumol derivative, attenuates high-fat diet induced hepatic steatosis by antagonizing PPARγ

description: Images used for generating histological score of hepatosteatosis in Figure 6. Excel spreadsheet contains scores and identification key for images. <br>
DOI: 10.6084/m9.figshare.13619273.v1
title: Tetrahydroxanthohumol, a xanthohumol derivative, attenuates high-fat diet induced hepatic steatosis by antagonizing PPARγ

description: Images used for generating histological score of hepatosteatosis in Figure 6. Excel spreadsheet contains scores and identification key for images. <br>
DOI: 10.15468/twyh68
title: Gagea Salisb. (Liliaceae) in Iran: an updated species checklist

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zarrei, Mehdi, Wilkin, Paul, Chase, Mark W. (2011): Gagea Salisb. (Liliaceae) in Iran: an updated species checklist. Phytotaxa 15: 33-43, DOI: 10.11646/phytotaxa.15.1.5
DOI: 10.5287/bodleian:zbpjpja9e
title: Supporting data for host regulation of the legume-rhizobia symbiosis
DOI: 10.5281/zenodo.4906973
title: Cause-Effect-Context from Natural Questions (NQ-CE)

description: This dataset is derived from the Natural Questions (NQ) dataset which is a large benchmark for open question answering research (https://ai.google.com/research/NaturalQuestions). This dataset contains a collection of cause-effect pairs along with their context (the text describing the causal relation between the cause and the effect) as well as the original question in the NQ data set. It also contains a collection of "negative" pairs, phrases that are mentioned in the context but have no causal relation. This dataset is constructed by filtering questions in the NQ dataset that follow a certain pattern indicating that the question is causal. Either the cause or the effect is the (short) answer in the original NQ dataset, and the other side is manually derived from the context. The data is shared in JSONL format with every line being a processed NQ question with relevant fields described above. In versions 2 and 2.5, each JSON object has the following fields: phrase1: the first phrase (text span) phrase2: the second phrase (text span) label: "causal" means phrase 1 causes phrase 2, "non_causal" means "phrase1" and "phrase2" do NOT have a causal relation between them passage: the context that states that phrase1 causes phrase2 (for causal) or just the passage that has both phrase1 and phrase2 (for non_causal). document_url: the Wikipedia URL from the Natural Questions data question_text: the original question text from the Natural Questions data Versions 1.5 and 2.5 enforce exactness of causes and effects as seen <strong>verbatim </strong>in the context passage. This is different from version 1 and 2 because there we are interested in how causes and effects are <strong>annotated as per human understanding</strong> <strong>and manual curation</strong>, i.e. how a human being would parse and understand causes and effects in text and to enforce simple grammatical consistency in causes and effects. Eg. in a passage, say ... "Above - average sea water temperatures caused by global warming is the leading cause of coral bleaching." Version 1 and 2 could say something like, "above average sea water temperatures" while stating the cause but versions 1.5 and 2.5 will always say, "Above - average sea water temperatures", i.e. the cause and effect will be <strong>exactly </strong>as seen in text. These versions help in matching results of any causal relation extraction (CRE) algorithm and method better, e.g. obtaining results of CRE using some method X and comparing against what is present as causes and effects. Hence these versions (1.5, 2.5, 1.5b and 2.5b) are also called <strong>Evaluation</strong> versions. <strong>Versions 1.5b and 2.5b are the final and the most accurate versions which should actually be used</strong>, the rest are intermediary versions present for archival purposes. The 1.5b and 2.5b sets are together called the <strong>Final Evaluation </strong>versions. License: https://creativecommons.org/licenses/by-sa/3.0/ Contacts:<br> Gaurav Dass: dassg2 AT rpi.edu<br> Oktie Hassanazadeh
DOI: 10.5281/zenodo.4000980
title: Cause-Effect-Context from Natural Questions (NQ-CE)

description: This dataset is derived from the Natural Questions (NQ) dataset which is a large benchmark for open question answering research (https://ai.google.com/research/NaturalQuestions). This dataset contains a collection of cause-effect pairs along with their context (the text describing the causal relation between the cause and the effect) as well as the original question in the NQ data set. It also contains a collection of "negative" pairs, phrases that are mentioned in the context but have no causal relation. This dataset is constructed by filtering questions in the NQ dataset that follow a certain pattern indicating that the question is causal. Either the cause or the effect is the (short) answer in the original NQ dataset, and the other side is manually derived from the context. The data is shared in JSONL format with every line being a processed NQ question with relevant fields described above. In versions 2 and 2.5, each JSON object has the following fields: phrase1: the first phrase (text span) phrase2: the second phrase (text span) label: "causal" means phrase 1 causes phrase 2, "non_causal" means "phrase1" and "phrase2" do NOT have a causal relation between them passage: the context that states that phrase1 causes phrase2 (for causal) or just the passage that has both phrase1 and phrase2 (for non_causal). document_url: the Wikipedia URL from the Natural Questions data question_text: the original question text from the Natural Questions data Versions 1.5 and 2.5 enforce exactness of causes and effects as seen <strong>verbatim </strong>in the context passage. This is different from version 1 and 2 because there we are interested in how causes and effects are <strong>annotated as per human understanding</strong> <strong>and manual curation</strong>, i.e. how a human being would parse and understand causes and effects in text and to enforce simple grammatical consistency in causes and effects. Eg. in a passage, say ... "Above - average sea water temperatures caused by global warming is the leading cause of coral bleaching." Version 1 and 2 could say something like, "above average sea water temperatures" while stating the cause but versions 1.5 and 2.5 will always say, "Above - average sea water temperatures", i.e. the cause and effect will be <strong>exactly </strong>as seen in text. These versions help in matching results of any causal relation extraction (CRE) algorithm and method better, e.g. obtaining results of CRE using some method X and comparing against what is present as causes and effects. Hence these versions (1.5, 2.5, 1.5b and 2.5b) are also called <strong>Evaluation</strong> versions. <strong>Versions 1.5b and 2.5b are the final and the most accurate versions which should actually be used</strong>, the rest are intermediary versions present for archival purposes. The 1.5b and 2.5b sets are together called the <strong>Final Evaluation </strong>versions. License: https://creativecommons.org/licenses/by-sa/3.0/ Contacts:<br> Gaurav Dass: dassg2 AT rpi.edu<br> Oktie Hassanazadeh
DOI: 10.5281/zenodo.4906814
title: Data archiving of "Single-step genomic prediction of Eucalyptus dunnii using different identity-by-descent and identity-by-state relationship matrices"

description: Data archiving of the <em>Eucalyptus dunnii</em> trials including phenotypic, pedigree, and genomic data of the paper entitled: <strong>Single-step genomic prediction of Eucalyptus dunnii using different identity-by-descent and identity-by-state relationship matrices.</strong> This repository contains the following files of the paper: Phenotypic_file.txt: tree information<br> SNP_file.txt: marker information<br> Map_file.txt: absolute position of the markers
DOI: 10.5281/zenodo.4906813
title: Data archiving of "Single-step genomic prediction of Eucalyptus dunnii using different identity-by-descent and identity-by-state relationship matrices"

description: Data archiving of the <em>Eucalyptus dunnii</em> trials including phenotypic, pedigree, and genomic data of the paper entitled: <strong>Single-step genomic prediction of Eucalyptus dunnii using different identity-by-descent and identity-by-state relationship matrices.</strong> This repository contains the following files of the paper: Phenotypic_file.txt: tree information<br> SNP_file.txt: marker information<br> Map_file.txt: absolute position of the markers
DOI: 10.5517/ccdc.csd.cc27zv58
title: CCDC 2085220: Experimental Crystal Structure Determination

description: Related Article: H. Miyamoto, H. Takahashi|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|653|doi:10.1107/S2056989021005387
DOI: 10.5517/ccdc.csd.cc27zw15
title: CCDC 2085247: Experimental Crystal Structure Determination

description: Related Article: X. Yang, S. Long|2021|IUCrData|6|x210539|doi:10.1107/S2414314621005393
DOI: 10.5517/ccdc.csd.cc28068s
title: CCDC 2085564: Experimental Crystal Structure Determination

description: Related Article: E.M. Sayed, R. Hassanien, S.K. Mohamed, J.T. Mague, M. Akkurt, N. Farhan, E.A. Bakhite, S.A.H. Al-Waleedy|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|663|doi:10.1107/S2056989021005430
DOI: 10.5517/ccdc.csd.cc2806p6
title: CCDC 2085577: Experimental Crystal Structure Determination

description: Related Article: S. Kansiz, D. Tatlidil, N. Dege, F.A. Aktas, S.O.M. Al-Asbahy, A. Alaman Agar|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|658|doi:10.1107/S2056989021005442
DOI: 10.5517/ccdc.csd.cc280hld
title: CCDC 2085853: Experimental Crystal Structure Determination

description: Related Article: H. Bougueria, S. Chetioui, M.A. Bensegueni, J.-P. Djukic, N. Benarous|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|672|doi:10.1107/S2056989021005491
DOI: 10.5517/ccdc.csd.cc280qtv
title: CCDC 2086077: Experimental Crystal Structure Determination

description: Related Article: D. Moon, S. Jeon, W.T. Lim, K.S. Ryoo, J.-H. Choi|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|677|doi:10.1107/S205698902100551X
DOI: 10.5281/zenodo.4906954
title: Cause-Effect-Context from Natural Questions (NQ-CE)

description: This dataset is derived from the Natural Questions (NQ) dataset which is a large benchmark for open question answering research (https://ai.google.com/research/NaturalQuestions). This dataset contains a collection of cause-effect pairs along with their context (the text describing the causal relation between the cause and the effect) as well as the original question in the NQ data set. It also contains a collection of "negative" pairs, phrases that are mentioned in the context but have no causal relation. This dataset is constructed by filtering questions in the NQ dataset that follow a certain pattern indicating that the question is causal. Either the cause or the effect is the (short) answer in the original NQ dataset, and the other side is manually derived from the context. The data is shared in JSONL format with every line being a processed NQ question with relevant fields described above. In versions 2 and 2.5, each JSON object has the following fields: phrase1: the first phrase (text span) phrase2: the second phrase (text span) label: "causal" means phrase 1 causes phrase 2, "non_causal" means "phrase1" and "phrase2" do NOT have a causal relation between them passage: the context that states that phrase1 causes phrase2 (for causal) or just the passage that has both phrase1 and phrase2 (for non_causal). document_url: the Wikipedia URL from the Natural Questions data question_text: the original question text from the Natural Questions data Versions 1.5 and 2.5 enforce exactness of causes and effects as seen <strong>verbatim </strong>in the context passage. This is different from version 1 and 2 because there we are interested in how causes and effects are <strong>annotated as per human understanding</strong> <strong>and manual curation</strong>, i.e. how a human being would parse and understand causes and effects in text and to enforce simple grammatical consistency in causes and effects. Eg. in a passage, say ... "Above - average sea water temperatures caused by global warming is the leading cause of coral bleaching." Version 1 and 2 could say something like, "above average sea water temperatures" while stating the cause but versions 1.5 and 2.5 will always say, "Above - average sea water temperatures", i.e. the cause and effect will be <strong>exactly </strong>as seen in text. These versions help in matching results of any causal relation extraction (CRE) algorithm and method better, e.g. obtaining results of CRE using some method X and comparing against what is present as causes and effects. Hence these versions (1.5, 2.5, 1.5b and 2.5b) are also called <strong>Evaluation</strong> versions. <strong>Versions 1.5b and 2.5b are the final and the most accurate versions which should actually be used</strong>, the rest are intermediary versions present for archival purposes. The 1.5b and 2.5b sets are together called the <strong>Final Evaluation </strong>versions. License: https://creativecommons.org/licenses/by-sa/3.0/ Contacts:<br> Gaurav Dass: dassg2 AT rpi.edu<br> Oktie Hassanazadeh
DOI: 10.6084/m9.figshare.14736489
title: Boulder OSMP Climbing Formations

description: This GeoJSON contains the locations of rock climbing formations in Boulder County, Colorado.
DOI: 10.6084/m9.figshare.14736489.v3
title: Boulder OSMP Climbing Formations

description: This GeoJSON contains the locations of rock climbing formations in Boulder County, Colorado.
DOI: 10.6084/m9.figshare.14736489.v2
title: Boulder OSMP Climbing Formations

description: This GeoJSON contains the locations of rock climbing formations in Boulder County, Colorado.
DOI: 10.6084/m9.figshare.14744892
title: SPSSFILE staff views_occasional childcare.sav

description: This dataset reports on early childhood practitioners' views on occasional childcare. The data were gathered using a paper and pencil questionnaire in Flanders (Belgium) in 2018. The language used in this dataset is Dutch.
DOI: 10.6084/m9.figshare.14744892.v1
title: SPSSFILE staff views_occasional childcare.sav

description: This dataset reports on early childhood practitioners' views on occasional childcare. The data were gathered using a paper and pencil questionnaire in Flanders (Belgium) in 2018. The language used in this dataset is Dutch.
DOI: 10.6084/m9.figshare.14682957.v1
title: test-raw-stack.tif

description: Test raw dataset.
DOI: 10.6084/m9.figshare.14682957
title: test-raw-stack.tif

description: Test raw dataset.
DOI: 10.5281/zenodo.4906915
title: Xeva_PDXE BCO

description: BioCompute Object (BCO) for Xeva_PDXE data object generated by ORCESTRA (orcestra.ca)
DOI: 10.5281/zenodo.4906914
title: Xeva_PDXE BCO

description: BioCompute Object (BCO) for Xeva_PDXE data object generated by ORCESTRA (orcestra.ca)
DOI: 10.6084/m9.figshare.13011629
title: Accelerated Design and Discovery of Perovskites with High Conductivity for Energy applications through Machine Learning

description: Predicted_Data_NPJ.xlsx: Conductivity and Charge Carrier data predicted for :i) Type I undopedii) Type II undopediii) Type I A-site dopediv) Type II A-site dopedv) Type I B-site doped <br>vi)Type II B-site doped perovskites<br>DataJournal_NPJ.xlsx: Conductivity and charge carrier type collected from literature for perovskite<br>XGB_Final.py : Script for the final Machine Learning regression and classification models.<br>Conductivity_TargetFeaturesSet.csv: File containing the targets and feature set used by the Machine Learning model.<br>
DOI: 10.6084/m9.figshare.13011629.v1
title: Accelerated Design and Discovery of Perovskites with High Conductivity for Energy applications through Machine Learning

description: Predicted_Data_NPJ.xlsx: Conductivity and Charge Carrier data predicted for :i) Type I undopedii) Type II undopediii) Type I A-site dopediv) Type II A-site dopedv) Type I B-site doped <br>vi)Type II B-site doped perovskites<br>DataJournal_NPJ.xlsx: Conductivity and charge carrier type collected from literature for perovskite<br>XGB_Final.py : Script for the final Machine Learning regression and classification models.<br>Conductivity_TargetFeaturesSet.csv: File containing the targets and feature set used by the Machine Learning model.<br>
DOI: 10.6084/m9.figshare.14742738
title: 3D models of Middle Jurassic sauropod tracks from the Castelbouc Cave (Lozère, southern France)

description: Moreau, J.-D., Trincal, V., Fara, E., Baret, L., Jacquet, A., Barbini, C., Flament, R., 2019. Middle Jurassic tracks of sauropod dinosaurs in a deep karst cave in France. Journal of Vertebrate Paleontology, 39, e1728286.
DOI: 10.5281/zenodo.4907012
title: Datasets

description: Two hundred sixty-six films processed with Flash Infrared Annealing were optically and structurally characterized. This data was compiled into a database to use as a reliable guide for fundamental studies of halide perovskites. We determine the optimum conditions for the formation of the mixed-cations halide perovskite active phase
DOI: 10.5281/zenodo.4907011
title: Datasets

description: Two hundred sixty-six films processed with Flash Infrared Annealing were optically and structurally characterized. This data was compiled into a database to use as a reliable guide for fundamental studies of halide perovskites. We determine the optimum conditions for the formation of the mixed-cations halide perovskite active phase
DOI: 10.18112/openneuro.ds002336.v2.0.2
title: A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and fMRI acquisition during a motor imagery neurofeedback task: XP1
DOI: 10.5281/zenodo.4907006
title: CCLE BCO

description: BioCompute Object (BCO) for CCLE data object generated by ORCESTRA (orcestra.ca)
DOI: 10.5281/zenodo.4907005
title: CCLE BCO

description: BioCompute Object (BCO) for CCLE data object generated by ORCESTRA (orcestra.ca)
DOI: 10.7284/128597
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise AR26 using a Hawaii UHDAS instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128588
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise AR26 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128589
title: Expendable Probe data collected during research cruise AR26 using a Sippican MK21 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128586
title: Fluorometer data collected during research cruise AR26 using a WET Labs WETStar instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128596
title: GNSS (Global Navigation Satellite System) data collected during research cruise AR26 using a C&C C-Nav 3050 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128587
title: Gyrocompass data collected during research cruise AR26 using a Sperry NAVIGAT X MK 1 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128594
title: Multibeam Echosounder data collected during research cruise AR26 using a Kongsberg EM122 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128595
title: Multibeam Echosounder data collected during research cruise AR26 using a Kongsberg EM710 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128592
title: Radiometer data collected during research cruise AR26 using a Biospherical QSR-2150 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128593
title: Radiometer data collected during research cruise AR26 using a Eppley RAD instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128591
title: Singlebeam Echosounder data collected during research cruise AR26 using a Knudsen 3260 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128585
title: Speedlog data collected during research cruise AR26 using a JRC JLN-550 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128590
title: SSV (Sound Speed Velocimeter) data collected during research cruise AR26 using a AML SmartX P1S2 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition