cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13325685
title: Prevention of Petersen’s hernia using jejunal mesentery fixing (Mefix)

description: The aim of this study was to compare the 1 year incidence of Petersen’s hernia between individuals who were treated with the jejunal mesentery fixing (Mefix) method and those with the closure of Petersen’s space method. We retrospectively collected clinical data of patients who underwent gastrectomy for gastric cancers with the closure of Petersen’s space defect (<i>N</i> = 49) and Mefix (<i>N</i> = 26). The Mefix method was performed by fixing the jejunal mesentery (jejunojejunostomy below 30 cm) to the transverse mesocolon using nonabsorbable barbed sutures. The procedure time for mesentery fixing (3.7 ± 1.1 mins) was significantly shorter than that for Petersen’s space closure (7.5 ± 1.5 mins) (<i>p</i> We found no occurrence of Petersen’s hernias postoperatively in either group. We also found that the Mefix method was faster and easier to perform than the closure method. The Mefix method is an excellent alternative method to prevent the occurrence of Petersen’s hernia after B-II or Roux-en-Y reconstruction.
DOI: 10.6084/m9.figshare.13325685.v1
title: Prevention of Petersen’s hernia using jejunal mesentery fixing (Mefix)

description: The aim of this study was to compare the 1 year incidence of Petersen’s hernia between individuals who were treated with the jejunal mesentery fixing (Mefix) method and those with the closure of Petersen’s space method. We retrospectively collected clinical data of patients who underwent gastrectomy for gastric cancers with the closure of Petersen’s space defect (<i>N</i> = 49) and Mefix (<i>N</i> = 26). The Mefix method was performed by fixing the jejunal mesentery (jejunojejunostomy below 30 cm) to the transverse mesocolon using nonabsorbable barbed sutures. The procedure time for mesentery fixing (3.7 ± 1.1 mins) was significantly shorter than that for Petersen’s space closure (7.5 ± 1.5 mins) (<i>p</i> We found no occurrence of Petersen’s hernias postoperatively in either group. We also found that the Mefix method was faster and easier to perform than the closure method. The Mefix method is an excellent alternative method to prevent the occurrence of Petersen’s hernia after B-II or Roux-en-Y reconstruction.
DOI: 10.5281/zenodo.5875099
title: Base de datos nacional de Derechos de Aprovechamiento de Agua en Chile

description: Esta base de datos compila los Derechos de Aprovechamiento de Agua (DAA) otorgados en Chile hasta diciembre del 2019, y su versión original se obtuvo del sitio web de la Dirección General de Aguas (DGA). Dicha base fue <em>completada/corregida</em> en cuanto a ubicación de derechos de agua (punto de captación) ya que, o se carecía de dicha información, o esta información, al ubicarla en un SIG, se mostraba fuera de los límites de Chile (en el océano, por ejemplo). La información que se utilizó para georreferenciar dichos derechos corresponde al centroide de la subsubcuenca, subcuenca o cuenca (según información disponible) a la que pertenece cada uno de ellos. Finalmente, respecto a los derechos de agua asignados bajo "acciones", para poder estimar un caudal asignado en lt/s, se considera que 1 acción de agua equivale a 1 lt/s.
DOI: 10.5281/zenodo.5875098
title: Base de datos nacional de Derechos de Aprovechamiento de Agua en Chile

description: Esta base de datos compila los Derechos de Aprovechamiento de Agua (DAA) otorgados en Chile hasta diciembre del 2019, y su versión original se obtuvo del sitio web de la Dirección General de Aguas (DGA). Dicha base fue <em>completada/corregida</em> en cuanto a ubicación de derechos de agua (punto de captación) ya que, o se carecía de dicha información, o esta información, al ubicarla en un SIG, se mostraba fuera de los límites de Chile (en el océano, por ejemplo). La información que se utilizó para georreferenciar dichos derechos corresponde al centroide de la subsubcuenca, subcuenca o cuenca (según información disponible) a la que pertenece cada uno de ellos. Finalmente, respecto a los derechos de agua asignados bajo "acciones", para poder estimar un caudal asignado en lt/s, se considera que 1 acción de agua equivale a 1 lt/s.
DOI: 10.5281/zenodo.6448447
title: PRASTOF - Results

description: The PRASTOF (PRospective Aluminium STOck and Flows) open-source Python software aims to generate scenarios for future stocks and flows of aluminium alloys and alloying elements in line with the Shared socioeconomic pathways (SSP) framework in order to understanding the stock dynamics of this resource and enhance a better management of it towards a more sustainable and circular economy. A bottom-up approach that considers each final use sector individually was chosen to better depict the details regarding sectorial material demand, lifetimes, and alloys composition. This data set groups all results of PRASTOF. Data and code used to calculate the scenarios are available here: https://github.com/jpedneault/PRASTOF For the article associated with those results, see: Pedneault, J., Majeau-Bettez, G., Pauliuk, S., Margni, M. (2022). Sector-specific scenarios for future stocks and flows of aluminium – An analysis based on Shared Socioeconomic Pathways. Journal of Industrial Ecology.
DOI: 10.18739/a2f47gv83
title: Pacific arctic sea-ice observations from U.S. Federal logbooks (1900-1938)

description: This historical sea ice database is constructed from first-hand observations extracted from the logbooks of U.S. federal vessels operating in the Pacific Arctic, and covers the period from 1900 to 1938. During this period the U.S. Revenue Cutter Service (becoming the U.S. Coast Guard in 1915) made annual patrols to Arctic Alaska and Siberia, continuing a practice that began in 1880 and that has persisted in a nearly unbroken series to the present day. These data were transcribed by a team of citizen-scientists participating in the Old Weather project, using a collection of high-resolution photographs of the primary sources held by the National Archives and Records Administration in Washington D.C. Additional work, including reconstruction of the ships’ tracks to hourly resolution from detailed navigational information in the logbooks (e.g. compass bearings, course and distance data), aligning ice observations to the tracks, and compiling and analyzing descriptive sea ice terminology, was jointly produced by experienced Old Weather citizen-scientists and the research team. Descriptive observations are converted into a simple index of ice presence that is presented with a matrix of sea ice and vessel operating terminology recorded in the logbooks. The database also preserves National Archives hyperlinks to the logbook images at the page level in order to facilitate public access and research in the future.
DOI: 10.5517/ccdc.csd.cc26wl5w
title: CCDC 2052298: Experimental Crystal Structure Determination

description: Related Article: Kar-Wai Lo, Glenna So Ming Tong, Gang Cheng, Kam-Hung Low, Chi-Ming Che|2022|Angew.Chem.,Int.Ed.|61|e202115515|doi:10.1002/anie.202115515
DOI: 10.5517/ccdc.csd.cc26yv01
title: CCDC 2054463: Experimental Crystal Structure Determination

description: Related Article: Patrick Cieslik, Peter Comba, Benedikt Dittmar, Daouda Ndiaye, Éva Tóth, Gunasekaran Velmurugan, Hubert Wadepohl|2022|Angew.Chem.,Int.Ed.|61|e202115580|doi:10.1002/anie.202115580
DOI: 10.5517/ccdc.csd.cc28321j
title: CCDC 2088316: Experimental Crystal Structure Determination

description: Related Article: Kar-Wai Lo, Glenna So Ming Tong, Gang Cheng, Kam-Hung Low, Chi-Ming Che|2022|Angew.Chem.,Int.Ed.|61|e202115515|doi:10.1002/anie.202115515
DOI: 10.5517/ccdc.csd.cc28h00t
title: CCDC 2099785: Experimental Crystal Structure Determination

description: Related Article: Kar-Wai Lo, Glenna So Ming Tong, Gang Cheng, Kam-Hung Low, Chi-Ming Che|2022|Angew.Chem.,Int.Ed.|61|e202115515|doi:10.1002/anie.202115515
DOI: 10.6084/m9.figshare.19576477
title: Data for the phycosphere pH of unicellular nano- and micro- phytoplankton cells and consequences for iron speciation

description: Surface ocean pH is declining due to anthropogenic atmospheric CO2 uptake with a global decline of ~0.3 possible by 2100. Extracellular pH influences a range of biological processes, including nutrient uptake, calcification and silicification. However, there are poor constraints on how pH levels in the extracellular microenvironment surrounding phytoplankton cells (the phycosphere) differ from bulk seawater. This adds uncertainty to biological impacts of environmental change. Furthermore, previous modelling work suggests that phycosphere pH of small cells is close to bulk seawater, and this has not been experimentally verified. Here we observe under 140 μmol photons·m-2·s-1 the phycosphere pH of <em>Chlamydomonas concordia</em> (5 µm), <em>Emiliania huxleyi </em>(5 µm), <em>Coscinodiscus radiatus </em>(50 µm) and <em>C. wailesii </em>(100 µm) are 0.11, 0.20, 0.41 and 0.15 higher than bulk seawater (pH 8.00), respectively. Thickness of the pH boundary layer of <em>C. wailesii </em>increases from 18 to 122 µm when bulk seawater pH decreases from 8.00 to 7.78. Phycosphere pH is regulated by photosynthesis and extracellular enzymatic transformation of bicarbonate, as well as being influenced by light intensity and seawater pH and buffering capacity. The pH change alters Fe speciation in the phycosphere, and hence Fe availability to phytoplankton is likely better predicted by the phycosphere, rather than bulk seawater. Overall, the precise quantification of chemical conditions in the phycosphere is crucial for assessing the sensitivity of marine phytoplankton to the ongoing ocean acidification and Fe limitation in surface oceans.
DOI: 10.5281/zenodo.6448652
title: 2020 Iran-Turkey earthquake

description: Tweets collected during Iran-Turkey earthquake in February 2020
DOI: 10.5281/zenodo.6448651
title: 2020 Iran-Turkey earthquake

description: Tweets collected during Iran-Turkey earthquake in February 2020
DOI: 10.23729/6a2021ad-672c-4738-ac29-12f41b403ea3
title: Corpus of North American Spoken English

description: The Corpus of North American Spoken English (CoNASE) is a 1.25-billion-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from the United States and Canada, created for the study of lexical, grammatical, and discourse-pragmatic phenomena of spoken language, including their geographical distribution, in North American English. The size of the corpus allows rare phenomena to be considered, and because the annotation includes the video IDs of transcripts, search hits can be manually inspected and video or audio data can be accessed. As the starting point of a scripting pipeline, the corpus can also be used for large-scale acoustic analyses of North American speech. The corpus was created from 301,847 ASR transcripts from 2,572 YouTube channels, corresponding to 154,041 hours of video. The size of the corpus is 1,252,066,371 word tokens. The channels sampled in the corpus are associated with local government entities such as town, city, or county boards and councils, school or utility districts, regional authorities such as provincial or territorial governments, or other governmental organizations. The transcripts are primarily of recordings of public meetings, although other genres are also present. Video transcripts have been assigned exact latitude-longitude coordinates using a geocoding script. The untagged corpus is contained in the file conase_distributable.csv.gz. The PoS-tagged corpus with word timings is conase_pos_distributable.csv.gz. The separator for both files is the pipe character "|". The files contain the columns 'country', 'state', 'channel_title', 'video_title', 'video_id', 'name', 'type', 'channel_id', 'channel_username', 'video_length', 'location', 'address', '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 provisions of US 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/CoNASE.html
DOI: 10.23729/b4b8dde1-89eb-4143-ad53-2482c004a115
title: Corpus of British Isles Spoken English

description: The Corpus of British Isles Spoken English (CoBISE) is a corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from the United Kingdom and Ireland, created for the study of linguistic and interactional phenomena in contemporary English. Transcripts are linked to videos accessible through the YouTube platform, allowing the study of multimodal phenomena. The corpus was created from 38,680 ASR transcripts from 497 YouTube channels, corresponding to more than 12,800 hours of video. The size of the corpus is 111,563,614 tokens. The channels sampled in the corpus are associated with local government entities such as county or city councils. The transcripts are primarily of recordings of public meetings, although other genres are also present. Video transcripts have been assigned exact latitude-longitude coordinates using a geocoding script. The untagged corpus is contained in the file CoBISE_text_distributable_20211228.csv.gz. The PoS-tagged corpus with word timings is CoBISE_pos_distributable_20211228.csv.gz. The separator for both files is the pipe character "|". The files have the columns 'country', 'channel_title', 'channel_id', 'video_title', 'video_id', '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 provisions of US 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/CoBISE.html
DOI: 10.5281/zenodo.6448728
title: SCARED 2022 database

description: Scared database compiled by Cristina Gatt and Victor Martinelli (2022)
DOI: 10.5281/zenodo.6448727
title: SCARED 2022 database

description: Scared database compiled by Cristina Gatt and Victor Martinelli (2022)
DOI: 10.5287/bodleian:jbamngwng
title: Dataset: Small area estimates of BMI distribution by age, sex and lower tier local authority (England)
DOI: 10.5517/ccdc.csd.cc27trd7
title: CCDC 2080329: Experimental Crystal Structure Determination

description: Related Article: Fa-Feng Xu, Wei Zeng, Meng-Jia Sun, Zhong-Liang Gong, Zhong-Qiu Li, Yong Sheng Zhao, Jiannian Yao, Yu-Wu Zhong|2022|Angew.Chem.,Int.Ed.|61|e202116603|doi:10.1002/anie.202116603
DOI: 10.5517/ccdc.csd.cc27tswr
title: CCDC 2080375: Experimental Crystal Structure Determination

description: Related Article: Fa-Feng Xu, Wei Zeng, Meng-Jia Sun, Zhong-Liang Gong, Zhong-Qiu Li, Yong Sheng Zhao, Jiannian Yao, Yu-Wu Zhong|2022|Angew.Chem.,Int.Ed.|61|e202116603|doi:10.1002/anie.202116603
DOI: 10.5517/ccdc.csd.cc27tsxs
title: CCDC 2080376: Experimental Crystal Structure Determination

description: Related Article: Fa-Feng Xu, Wei Zeng, Meng-Jia Sun, Zhong-Liang Gong, Zhong-Qiu Li, Yong Sheng Zhao, Jiannian Yao, Yu-Wu Zhong|2022|Angew.Chem.,Int.Ed.|61|e202116603|doi:10.1002/anie.202116603
DOI: 10.5517/ccdc.csd.cc27tsyt
title: CCDC 2080377: Experimental Crystal Structure Determination

description: Related Article: Fa-Feng Xu, Wei Zeng, Meng-Jia Sun, Zhong-Liang Gong, Zhong-Qiu Li, Yong Sheng Zhao, Jiannian Yao, Yu-Wu Zhong|2022|Angew.Chem.,Int.Ed.|61|e202116603|doi:10.1002/anie.202116603
DOI: 10.5517/ccdc.csd.cc27tszv
title: CCDC 2080378: Experimental Crystal Structure Determination

description: Related Article: Fa-Feng Xu, Wei Zeng, Meng-Jia Sun, Zhong-Liang Gong, Zhong-Qiu Li, Yong Sheng Zhao, Jiannian Yao, Yu-Wu Zhong|2022|Angew.Chem.,Int.Ed.|61|e202116603|doi:10.1002/anie.202116603
DOI: 10.5517/ccdc.csd.cc27tt0x
title: CCDC 2080379: Experimental Crystal Structure Determination

description: Related Article: Fa-Feng Xu, Wei Zeng, Meng-Jia Sun, Zhong-Liang Gong, Zhong-Qiu Li, Yong Sheng Zhao, Jiannian Yao, Yu-Wu Zhong|2022|Angew.Chem.,Int.Ed.|61|e202116603|doi:10.1002/anie.202116603
DOI: 10.5517/ccdc.csd.cc28tgbx
title: CCDC 2109839: Experimental Crystal Structure Determination

description: Related Article: Yusuke Matsuo, Koki Kise, Yuki Morimoto, Atsuhiro Osuka, Takayuki Tanaka|2022|Angew.Chem.,Int.Ed.|61|e202116789|doi:10.1002/anie.202116789
DOI: 10.5517/ccdc.csd.cc28tgf0
title: CCDC 2109842: Experimental Crystal Structure Determination

description: Related Article: Yusuke Matsuo, Koki Kise, Yuki Morimoto, Atsuhiro Osuka, Takayuki Tanaka|2022|Angew.Chem.,Int.Ed.|61|e202116789|doi:10.1002/anie.202116789
DOI: 10.5517/ccdc.csd.cc28xp96
title: CCDC 2112938: Experimental Crystal Structure Determination

description: Related Article: Thomas Höllerhage, Priyabrata Ghana, Thomas P. Spaniol, Ambre Carpentier, Laurent Maron, Ulli Englert, Jun Okuda|2022|Angew.Chem.,Int.Ed.|61|e202115379|doi:10.1002/anie.202115379
DOI: 10.5517/ccdc.csd.cc28xpb7
title: CCDC 2112939: Experimental Crystal Structure Determination

description: Related Article: Thomas Höllerhage, Priyabrata Ghana, Thomas P. Spaniol, Ambre Carpentier, Laurent Maron, Ulli Englert, Jun Okuda|2022|Angew.Chem.,Int.Ed.|61|e202115379|doi:10.1002/anie.202115379
DOI: 10.5517/ccdc.csd.cc28xpc8
title: CCDC 2112940: Experimental Crystal Structure Determination

description: Related Article: Thomas Höllerhage, Priyabrata Ghana, Thomas P. Spaniol, Ambre Carpentier, Laurent Maron, Ulli Englert, Jun Okuda|2022|Angew.Chem.,Int.Ed.|61|e202115379|doi:10.1002/anie.202115379
DOI: 10.5517/ccdc.csd.cc28xpd9
title: CCDC 2112941: Experimental Crystal Structure Determination

description: Related Article: Thomas Höllerhage, Priyabrata Ghana, Thomas P. Spaniol, Ambre Carpentier, Laurent Maron, Ulli Englert, Jun Okuda|2022|Angew.Chem.,Int.Ed.|61|e202115379|doi:10.1002/anie.202115379
DOI: 10.5517/ccdc.csd.cc28xpfb
title: CCDC 2112942: Experimental Crystal Structure Determination

description: Related Article: Thomas Höllerhage, Priyabrata Ghana, Thomas P. Spaniol, Ambre Carpentier, Laurent Maron, Ulli Englert, Jun Okuda|2022|Angew.Chem.,Int.Ed.|61|e202115379|doi:10.1002/anie.202115379
DOI: 10.5517/ccdc.csd.cc28xpgc
title: CCDC 2112943: Experimental Crystal Structure Determination

description: Related Article: Thomas Höllerhage, Priyabrata Ghana, Thomas P. Spaniol, Ambre Carpentier, Laurent Maron, Ulli Englert, Jun Okuda|2022|Angew.Chem.,Int.Ed.|61|e202115379|doi:10.1002/anie.202115379
DOI: 10.5517/ccdc.csd.cc28xphd
title: CCDC 2112944: Experimental Crystal Structure Determination

description: Related Article: Thomas Höllerhage, Priyabrata Ghana, Thomas P. Spaniol, Ambre Carpentier, Laurent Maron, Ulli Englert, Jun Okuda|2022|Angew.Chem.,Int.Ed.|61|e202115379|doi:10.1002/anie.202115379
DOI: 10.5517/ccdc.csd.cc290fh8
title: CCDC 2115579: Experimental Crystal Structure Determination

description: Related Article: Mikus Puriņš, Jerome Waser|2022|Angew.Chem.,Int.Ed.|61|e202113925|doi:10.1002/anie.202113925
DOI: 10.5517/ccdc.csd.cc298n08
title: CCDC 2123469: Experimental Crystal Structure Determination

description: Related Article: Weixin Ma, Zhengyang Bin, Ge Yang, Junjie Liu, Jingsong You|2022|Angew.Chem.,Int.Ed.|61|e202116681|doi:10.1002/anie.202116681
DOI: 10.5517/ccdc.csd.cc298n19
title: CCDC 2123470: Experimental Crystal Structure Determination

description: Related Article: Weixin Ma, Zhengyang Bin, Ge Yang, Junjie Liu, Jingsong You|2022|Angew.Chem.,Int.Ed.|61|e202116681|doi:10.1002/anie.202116681
DOI: 10.5517/ccdc.csd.cc29b6jd
title: CCDC 2124973: Experimental Crystal Structure Determination

description: Related Article: Weixin Ma, Zhengyang Bin, Ge Yang, Junjie Liu, Jingsong You|2022|Angew.Chem.,Int.Ed.|61|e202116681|doi:10.1002/anie.202116681
DOI: 10.5517/ccdc.csd.cc286ftr
title: CCDC 2091564: Experimental Crystal Structure Determination

description: Related Article: Ronald Eric Sikma, Seth Mason Cohen|2022|Angew.Chem.,Int.Ed.|61|e202115454|doi:10.1002/anie.202115454
DOI: 10.5517/ccdc.csd.cc286fvs
title: CCDC 2091565: Experimental Crystal Structure Determination

description: Related Article: Ronald Eric Sikma, Seth Mason Cohen|2022|Angew.Chem.,Int.Ed.|61|e202115454|doi:10.1002/anie.202115454
DOI: 10.5517/ccdc.csd.cc29708v
title: CCDC 2121896: Experimental Crystal Structure Determination

description: Related Article: Ronald Eric Sikma, Seth Mason Cohen|2022|Angew.Chem.,Int.Ed.|61|e202115454|doi:10.1002/anie.202115454
DOI: 10.5517/ccdc.csd.cc28tgcy
title: CCDC 2109840: Experimental Crystal Structure Determination

description: Related Article: Yusuke Matsuo, Koki Kise, Yuki Morimoto, Atsuhiro Osuka, Takayuki Tanaka|2022|Angew.Chem.,Int.Ed.|61|e202116789|doi:10.1002/anie.202116789
DOI: 10.5517/ccdc.csd.cc28tgdz
title: CCDC 2109841: Experimental Crystal Structure Determination

description: Related Article: Yusuke Matsuo, Koki Kise, Yuki Morimoto, Atsuhiro Osuka, Takayuki Tanaka|2022|Angew.Chem.,Int.Ed.|61|e202116789|doi:10.1002/anie.202116789
DOI: 10.5281/zenodo.6435640
title: Alt Penedès environmental data collected between 2017 and 2021

description: The dataset contains different meteorological variables extracted from the website meteo.cat from "el Servei Meteorològic de Catalunya". Those meteorological variables extracted are recorded daily by the stations located in the Alt Penedes (Font Rubí, la Granada, Canaletes, Sant Martí Sarroca and Sant Sadurní d’Anoia) between 2017 and 2021. It is important to note that not all stations are prepared to collect the same information, that is, not all are equipped with the same instruments, therefore, there are cases without of the variables reported, e.g. Font Rubí provides data on average atmospheric pressure while the rest do not. Moreover, not all stations have been installed on the same data, so data may not be available for all the desired time period for some stations. Specifically, the station located in Sant Sadurní d’Anoia, the data is available from 07/05/2021, the date on which the station was operational.
DOI: 10.5281/zenodo.6435639
title: Alt Penedès environmental data collected between 2017 and 2021

description: The dataset contains different meteorological variables extracted from the website meteo.cat from "el Servei Meteorològic de Catalunya". Those meteorological variables extracted are recorded daily by the stations located in the Alt Penedes (Font Rubí, la Granada, Canaletes, Sant Martí Sarroca and Sant Sadurní d’Anoia) between 2017 and 2021. It is important to note that not all stations are prepared to collect the same information, that is, not all are equipped with the same instruments, therefore, there are cases without of the variables reported, e.g. Font Rubí provides data on average atmospheric pressure while the rest do not. Moreover, not all stations have been installed on the same data, so data may not be available for all the desired time period for some stations. Specifically, the station located in Sant Sadurní d’Anoia, the data is available from 07/05/2021, the date on which the station was operational.
DOI: 10.5281/zenodo.6448767
title: La Dansa Confinada

description: El nostre dataset recull tots els articles publicats al blog del Mercat de les Flors sota la categoria “Reflexions entorn d’un confinament”, incloent-hi la data de publicació, el títol de l’article, el text complet, una frase destacada del text, i la imatge que il·lustra l’article. Aquest dataset podria ser un punt de partida per estudiar com van viure el confinament causat per la pandèmia de la covid-19 els professionals de la dansa, que es duria a terme mitjançant tècniques de Processament del Llenguatge Natural a partir de l’anàlisi dels textos escrits i publicats els mesos de maig i juny de 2020. A més del text complet de l’article, la frase destacada a la pàgina principal per a cadascun d’ells resumeix ja el caire de cada article.