cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1285861.08fu
title: SH1285861.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1285862.08fu
title: SH1285862.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.25549/one-ouc16848397
title: Donald M., letters (1960-1972)

description: Donald M., letters, discusses homosexual life in Toronto and various gay bars in the city; and offers to aid ONE's reach to the gay community in Canada (1960-1972)
DOI: 10.15156/bio/sh1285863.08fu
title: SH1285863.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1285864.08fu
title: SH1285864.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1285865.08fu
title: SH1285865.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1285866.08fu
title: SH1285866.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1285867.08fu
title: SH1285867.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5517/ccdc.csd.cc25d5zr
title: CCDC 2007714: Experimental Crystal Structure Determination

description: Related Article: Shiqiang Ma, Dan Long, Peiqi Chen, Hongliang Shi, Huilin Li, Ran Fang, Xiaolei Wang, Xingang Xie, Xuegong She|2020|Org.Chem.Front.|7|2689|doi:10.1039/D0QO00765J
DOI: 10.5517/ccdc.csd.cc25hj29
title: CCDC 2010910: Experimental Crystal Structure Determination

description: Related Article: Stephanie A. Beach, Jesse L. Guillet, Sydney P. Lagueux, Mauro Perfetti, Brooke N. Livesay, Matthew P. Shores, Jeffrey W. Bacon, Arnold L. Rheingold, Polly L. Arnold, Linda H. Doerrer|2020|Chem.Commun.|56|11062|doi:10.1039/D0CC04334F
DOI: 10.5517/ccdc.csd.cc25hj3b
title: CCDC 2010911: Experimental Crystal Structure Determination

description: Related Article: Stephanie A. Beach, Jesse L. Guillet, Sydney P. Lagueux, Mauro Perfetti, Brooke N. Livesay, Matthew P. Shores, Jeffrey W. Bacon, Arnold L. Rheingold, Polly L. Arnold, Linda H. Doerrer|2020|Chem.Commun.|56|11062|doi:10.1039/D0CC04334F
DOI: 10.5517/ccdc.csd.cc25hj4c
title: CCDC 2010912: Experimental Crystal Structure Determination

description: Related Article: Stephanie A. Beach, Jesse L. Guillet, Sydney P. Lagueux, Mauro Perfetti, Brooke N. Livesay, Matthew P. Shores, Jeffrey W. Bacon, Arnold L. Rheingold, Polly L. Arnold, Linda H. Doerrer|2020|Chem.Commun.|56|11062|doi:10.1039/D0CC04334F
DOI: 10.5517/ccdc.csd.cc25hj5d
title: CCDC 2010913: Experimental Crystal Structure Determination

description: Related Article: Stephanie A. Beach, Jesse L. Guillet, Sydney P. Lagueux, Mauro Perfetti, Brooke N. Livesay, Matthew P. Shores, Jeffrey W. Bacon, Arnold L. Rheingold, Polly L. Arnold, Linda H. Doerrer|2020|Chem.Commun.|56|11062|doi:10.1039/D0CC04334F
DOI: 10.5517/ccdc.csd.cc25hj6f
title: CCDC 2010914: Experimental Crystal Structure Determination

description: Related Article: Stephanie A. Beach, Jesse L. Guillet, Sydney P. Lagueux, Mauro Perfetti, Brooke N. Livesay, Matthew P. Shores, Jeffrey W. Bacon, Arnold L. Rheingold, Polly L. Arnold, Linda H. Doerrer|2020|Chem.Commun.|56|11062|doi:10.1039/D0CC04334F
DOI: 10.5281/zenodo.3609954
title: Data set - Idealized ridge simulations with ICAR and WRF

description: The simulations uploaded here constitute an idealized ridge experiment with a non-dimensional mountain height of 0.5. The ridge is specified by a witch of Agnesi function and the sounding characterized by a saturated, horizontally and vertically homogeneous atmosphere with constant and stable stratification. The witch of agnesi at the domain center ridge is 1 km high and has a half width at half maximum of 20 km. The vertical profile of the potential temperature was characterized with a surface temperature of T<sub>0</sub>=270 K and a constant Brunt-Väisälä frequency of N=0.01 s<sup>-1</sup>, corresponding to a mean increase of potential temperatur of 3.2 K/km or an average environmental lapse rate of -8.3 K/km. The horizontal wind components were chosen as U=20 m/s and V=0 m/s, and surface pressure as p<sub>0</sub>=1013 hPa. Saturated conditions with RH=100% were prescribed independently of height.<br> <br> For the configuration described above the vertical wavelength of the generated mountain-waves is 12.6 km and the non-dimensional mountain height, given by is 0.5. The critical value of the non-dimensional mountain height for the onset of wave breaking is 0.85, therefore wave breaking is not expected for the scenario defined above. However, the ocurence of non-linearities is. This way the results also serve as an indicator of how well the ICAR solution approximates scenarios in which non-linearities occur, a situation ICAR is very likely to encounter in real-world applications.
DOI: 10.6084/m9.figshare.12991376
title: Mammal_Data.xls

description: Data set of medium and large-sized mammals and landscape structure in southeastern Brazil.
DOI: 10.6084/m9.figshare.12991211
title: Cross-Cultural COVID-19 Study

description: Cross-Cultural COVID-19 Study
DOI: 10.6084/m9.figshare.12991211.v2
title: Cross-Cultural COVID-19 Study

description: Cross-Cultural COVID-19 Study
DOI: 10.6084/m9.figshare.12991211.v1
title: Resilience, Well-Being, and Workplace Outcomes of Croatian, Thai, and US Workers during COVID-19

description: This study examined the direct and indirect effects of employee resilience, through well-being, on job productivity and relational satisfaction among extraverted versus introverted workers in Croatia, Thailand, and the United States during the early period of the COVID-19 pandemic. It also contrasted supervisors’ and employees’ mutual expectations of each other during the pandemic. Quantitative and qualitative analyses revealed strategies for promoting employee resilience during this unprecedented global health crisis. <br>
DOI: 10.6084/m9.figshare.12991403
title: What explains life satisfaction? Relative income or rank income? The case of Ecuador

description: Data set and do-file for paper What explains life satisfaction? Relative income or rank income? The case of Ecuador
DOI: 10.6084/m9.figshare.12991433.v1
title: cyrillic-uzbek-word2vec-cbow-hierarchical-softmax-300-webcrawl-v1-embeddings.tar.gz

description: 300-dimensional word2vec CBOW hierarchical softmax word embeddings for the Cyrillic Uzbek language. Trained using a webcrawl corpus v1.<br>
DOI: 10.6084/m9.figshare.12991325.v2
title: cyrillic-uzbek-glove-embeddings-webcrawl-v1-300d.tar.gz

description: 300-dimensional Glove word embeddings for the Cyrillic Uzbek language. Trained using a webcrawl corpus v1.<br>
DOI: 10.6084/m9.figshare.12991448.v1
title: cyrillic-uzbek-webcrawl-v1-word2vec-cbow-ns-100.tar.gz

description: 100-dimensional word2vec CBOW negative sampling word embeddings for the Cyrillic Uzbek language. Trained using a webcrawl corpus v1.<br>
DOI: 10.5517/ccdc.csd.cc25hj7g
title: CCDC 2010915: Experimental Crystal Structure Determination

description: Related Article: Stephanie A. Beach, Jesse L. Guillet, Sydney P. Lagueux, Mauro Perfetti, Brooke N. Livesay, Matthew P. Shores, Jeffrey W. Bacon, Arnold L. Rheingold, Polly L. Arnold, Linda H. Doerrer|2020|Chem.Commun.|56|11062|doi:10.1039/D0CC04334F
DOI: 10.5517/ccdc.csd.cc25jvg1
title: CCDC 2012193: Experimental Crystal Structure Determination

description: Related Article: Svetlana V. Baryshnikova, Georgy K. Fukin, Andrey I. Poddel’sky|2020|J.Organomet.Chem.|923|121421|doi:10.1016/j.jorganchem.2020.121421
DOI: 10.5517/ccdc.csd.cc25c8hb
title: CCDC 2006831: Experimental Crystal Structure Determination

description: Related Article: Ze-Yu Du, Zhang Chen, Run-Kun Kang, Ye-Min Han, Jie Ding, Jia-Peng Cao, Wei Jiang, Min Fang, Hua Mei, Yan Xu|2020|Inorg.Chem.|59|12876|doi:10.1021/acs.inorgchem.0c01941
DOI: 10.5517/ccdc.csd.cc25c8jc
title: CCDC 2006832: Experimental Crystal Structure Determination

description: Related Article: Ze-Yu Du, Zhang Chen, Run-Kun Kang, Ye-Min Han, Jie Ding, Jia-Peng Cao, Wei Jiang, Min Fang, Hua Mei, Yan Xu|2020|Inorg.Chem.|59|12876|doi:10.1021/acs.inorgchem.0c01941
DOI: 10.5517/ccdc.csd.cc25lrvd
title: CCDC 2014034: Experimental Crystal Structure Determination

description: Related Article: Se Hun Kwak, Olafs Daugulis|2020|Chem.Commun.|56|11070|doi:10.1039/D0CC05294A
DOI: 10.5517/ccdc.csd.cc25fly5
title: CCDC 2009077: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Elizabeth V. Bedwell, Jake A. Pryce, Carl Redshaw|2020|Dalton Trans.|49|11978|doi:10.1039/D0DT02130J
DOI: 10.5517/ccdc.csd.cc2476k5
title: CCDC 1973136: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Elizabeth V. Bedwell, Jake A. Pryce, Carl Redshaw|2020|Dalton Trans.|49|11978|doi:10.1039/D0DT02130J
DOI: 10.5517/ccdc.csd.cc2476h3
title: CCDC 1973134: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Elizabeth V. Bedwell, Jake A. Pryce, Carl Redshaw|2020|Dalton Trans.|49|11978|doi:10.1039/D0DT02130J
DOI: 10.5517/ccdc.csd.cc25flx4
title: CCDC 2009076: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Elizabeth V. Bedwell, Jake A. Pryce, Carl Redshaw|2020|Dalton Trans.|49|11978|doi:10.1039/D0DT02130J
DOI: 10.5517/ccdc.csd.cc2476g2
title: CCDC 1973133: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Elizabeth V. Bedwell, Jake A. Pryce, Carl Redshaw|2020|Dalton Trans.|49|11978|doi:10.1039/D0DT02130J
DOI: 10.5517/ccdc.csd.cc2476f1
title: CCDC 1973132: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Elizabeth V. Bedwell, Jake A. Pryce, Carl Redshaw|2020|Dalton Trans.|49|11978|doi:10.1039/D0DT02130J
DOI: 10.5517/ccdc.csd.cc2476j4
title: CCDC 1973135: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Elizabeth V. Bedwell, Jake A. Pryce, Carl Redshaw|2020|Dalton Trans.|49|11978|doi:10.1039/D0DT02130J
DOI: 10.5517/ccdc.csd.cc2476d0
title: CCDC 1973131: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Elizabeth V. Bedwell, Jake A. Pryce, Carl Redshaw|2020|Dalton Trans.|49|11978|doi:10.1039/D0DT02130J
DOI: 10.5517/ccdc.csd.cc2476cz
title: CCDC 1973130: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Elizabeth V. Bedwell, Jake A. Pryce, Carl Redshaw|2020|Dalton Trans.|49|11978|doi:10.1039/D0DT02130J
DOI: 10.5517/ccdc.csd.cc247fys
title: CCDC 1973365: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Elizabeth V. Bedwell, Jake A. Pryce, Carl Redshaw|2020|Dalton Trans.|49|11978|doi:10.1039/D0DT02130J
DOI: 10.5517/ccdc.csd.cc247fzt
title: CCDC 1973366: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Elizabeth V. Bedwell, Jake A. Pryce, Carl Redshaw|2020|Dalton Trans.|49|11978|doi:10.1039/D0DT02130J
DOI: 10.5517/ccdc.csd.cc247fxr
title: CCDC 1973364: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Elizabeth V. Bedwell, Jake A. Pryce, Carl Redshaw|2020|Dalton Trans.|49|11978|doi:10.1039/D0DT02130J
DOI: 10.6084/m9.figshare.12991454.v1
title: uzb-cyrl-webcrawl-v1-word2vec-cbow-hs-300d

description: 300-dimensional word2vec CBOW hierarchical softmax word embeddings for the Cyrillic Uzbek language. Trained using a webcrawl corpus v1.<br>
DOI: 10.6084/m9.figshare.12991325
title: trash

description: for deletion<br>
DOI: 10.6084/m9.figshare.12991325.v4
title: trash

description: for deletion<br>
DOI: 10.6084/m9.figshare.12991325.v3
title: Glove 300d embeddings for Cyrillic Uzbek using webcrawl corpus v1

description: 300-dimensional Glove word embeddings for the Cyrillic Uzbek language. Trained using a webcrawl corpus v1.<br>
DOI: 10.6084/m9.figshare.12991433
title: trash

description: trash<br>
DOI: 10.6084/m9.figshare.12991433.v3
title: trash

description: trash<br>
DOI: 10.6084/m9.figshare.12991433.v2
title: Word2vec CBOW hierarchical softmax 300d embeddings for Cyrillic Uzbek using webcrawl corpus v1

description: 300-dimensional word2vec CBOW hierarchical softmax word embeddings for the Cyrillic Uzbek language. Trained using a webcrawl corpus v1.<br>
DOI: 10.6084/m9.figshare.12991448
title: trash

description: trash<br>
DOI: 10.6084/m9.figshare.12991448.v2
title: cyrillic-uzbek-webcrawl-v1-word2vec-cbow-ns-100

description: 100-dimensional word2vec CBOW negative sampling word embeddings for the Cyrillic Uzbek language. Trained using a webcrawl corpus v1.<br>
DOI: 10.6084/m9.figshare.12991454
title: 300d word2vec (CBOW, hierarchical softmax) embeddings for Cyrillic Uzbek using webcrawl v1 corpus

description: 300-dimensional word2vec CBOW hierarchical softmax word embeddings for the Cyrillic Uzbek language. Trained using the webcrawl corpus v1.<br>
DOI: 10.6084/m9.figshare.12991454.v3
title: 300d word2vec (CBOW, hierarchical softmax) embeddings for Cyrillic Uzbek using webcrawl v1 corpus

description: 300-dimensional word2vec CBOW hierarchical softmax word embeddings for the Cyrillic Uzbek language. Trained using the webcrawl corpus v1.<br>
DOI: 10.6084/m9.figshare.12991454.v2
title: Word2vec (CBOW, hierarchical softmax) embeddings for Cyrillic Uzbek using webcrawl v1 corpus

description: 300-dimensional word2vec CBOW hierarchical softmax word embeddings for the Cyrillic Uzbek language. Trained using a webcrawl corpus v1.<br>
DOI: 10.6084/m9.figshare.12991472
title: 100d word2vec (CBOW, negative sampling) embeddings for Cyrillic Uzbek using webcrawl v1 corpus

description: 100-dimensional word2vec CBOW negative sampling word embeddings for the Cyrillic Uzbek language. Trained using the webcrawl corpus v1.
DOI: 10.6084/m9.figshare.12991472.v2
title: 100d word2vec (CBOW, negative sampling) embeddings for Cyrillic Uzbek using webcrawl v1 corpus

description: 100-dimensional word2vec CBOW negative sampling word embeddings for the Cyrillic Uzbek language. Trained using the webcrawl corpus v1.
DOI: 10.6084/m9.figshare.12991472.v1
title: uzb-cyrl-webcrawl-v1-word2vec-cbow-ns-100d

description: 100-dimensional word2vec CBOW negative sampling word embeddings for the Cyrillic Uzbek language. Trained using the webcrawl corpus v1.
DOI: 10.6084/m9.figshare.12991475
title: 300d word2vec (skipgram, hierarchical softmax) embeddings for Cyrillic Uzbek using webcrawl v1 corpus

description: 300-dimensional word2vec skipgram hierarchical softmax word embeddings for the Cyrillic Uzbek language. Trained using the webcrawl corpus v1.
DOI: 10.6084/m9.figshare.12991475.v2
title: 300d word2vec (skipgram, hierarchical softmax) embeddings for Cyrillic Uzbek using webcrawl v1 corpus

description: 300-dimensional word2vec skipgram hierarchical softmax word embeddings for the Cyrillic Uzbek language. Trained using the webcrawl corpus v1.
DOI: 10.6084/m9.figshare.12991475.v1
title: uzb-cyrl-webcrawl-v1-word2vec-skipgram-hs-300d

description: 300-dimensional word2vec skipgram hierarchical softmax word embeddings for the Cyrillic Uzbek language. Trained using the webcrawl corpus v1.
DOI: 10.6084/m9.figshare.12991484
title: 100d word2vec (skipgram, negative sampling) embeddings for Cyrillic Uzbek using webcrawl v1 corpus

description: 100-dimensional word2vec skipgram negative sampling word embeddings for the Cyrillic Uzbek language. Trained using the webcrawl corpus v1.
DOI: 10.6084/m9.figshare.12991484.v2
title: 100d word2vec (skipgram, negative sampling) embeddings for Cyrillic Uzbek using webcrawl v1 corpus

description: 100-dimensional word2vec skipgram negative sampling word embeddings for the Cyrillic Uzbek language. Trained using the webcrawl corpus v1.
DOI: 10.6084/m9.figshare.12991484.v1
title: uzb-cyrl-webcrawl-v1-word2vec-skipgram-ns-100d

description: 100-dimensional word2vec skipgram negative sampling word embeddings for the Cyrillic Uzbek language. Trained using the webcrawl corpus v1.
DOI: 10.6084/m9.figshare.12991487.v1
title: uzb-cyrl-webcrawl-v1-glove-300d

description: 300-dimensional glove word embeddings for the Cyrillic Uzbek language. Trained using the webcrawl corpus v1.
DOI: 10.6073/pasta/005b8212ff751d8ca30be3350c89bae2
title: Anaktuvuk River Burn Eddy Flux Measurements, Unburned Site, North Slope Alaska, 2013-2019

description: We deployed three eddy covariance towers along a burn severity gradient (i.e. severely-, moderately-, and un-burned tundra) to monitor post fire Net Ecosystem Exchange of CO2 (NEE) within the large 2007 Anaktuvuk River fire scar during the summer of 2008. This data represents the post fire energy and mass exchange at the unburned site for 2013-2019.