cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14278/rodare.1220
title: Garnet major-element composition as an indicator of host-rock type: a machine learning approach using the random forest classifier / supplementary data

description: The database includes 13615 garnet compositions of eight oxides commonly analysed in lab routines: SiO<sub>2</sub>, TiO<sub>2</sub>, Al<sub>2</sub>O<sub>3</sub>, Cr<sub>2</sub>O<sub>3</sub>, FeO<sub>total</sub>, MnO, MgO, and CaO (in wt%). These are complemented by the following covariables: <strong>setting and metamorphic facies class</strong>: code indicating the geologic/tectonic setting of the host rock <strong>composition class</strong>: code indicating the compositional class of the host rock <strong>author</strong>: authors of the original paper providing the data <strong>journal</strong>: journal of the original paper <strong>region</strong>: origin of the data, in the format "region, country" <strong>sample name</strong>: sample ID in the original paper <strong>Pavg(kbar)</strong>: if available, indicated pressure <strong>Tavg(°C)</strong>: if available, indicated temperature <strong>host-rock type and/or metamorphic facies</strong>: facies indication of host rock <strong>lithology and/or protolith</strong>: composition indication of host rock <strong>SiO2</strong>: wt% <strong>TiO2</strong>: wt% <strong>Al2O3</strong>: wt% <strong>Cr2O3</strong>: wt% <strong>FeOtotal</strong>: wt% <strong>MnO</strong>: wt% <strong>MgO</strong>: wt% <strong>CaO</strong>: wt% This research was funded by DFG grant EY 23/27-1.
description: {"references": ["Sch\u00f6nig, J.; von Eynatten, H.; Tolosana-Delgado, R.; Meinhold, G. (in press) Garnet major-element composition as an indicator of host-rock type: a machine learning approach using the random forest classifier. Contributions to Mineralogy and Petrology; .doi: 10.1007/s00410-021-01854-w"]}
DOI: 10.14278/rodare.1219
title: Garnet major-element composition as an indicator of host-rock type: a machine learning approach using the random forest classifier / supplementary data

description: The database includes 13615 garnet compositions of eight oxides commonly analysed in lab routines: SiO<sub>2</sub>, TiO<sub>2</sub>, Al<sub>2</sub>O<sub>3</sub>, Cr<sub>2</sub>O<sub>3</sub>, FeO<sub>total</sub>, MnO, MgO, and CaO (in wt%). These are complemented by the following covariables: <strong>setting and metamorphic facies class</strong>: code indicating the geologic/tectonic setting of the host rock <strong>composition class</strong>: code indicating the compositional class of the host rock <strong>author</strong>: authors of the original paper providing the data <strong>journal</strong>: journal of the original paper <strong>region</strong>: origin of the data, in the format "region, country" <strong>sample name</strong>: sample ID in the original paper <strong>Pavg(kbar)</strong>: if available, indicated pressure <strong>Tavg(°C)</strong>: if available, indicated temperature <strong>host-rock type and/or metamorphic facies</strong>: facies indication of host rock <strong>lithology and/or protolith</strong>: composition indication of host rock <strong>SiO2</strong>: wt% <strong>TiO2</strong>: wt% <strong>Al2O3</strong>: wt% <strong>Cr2O3</strong>: wt% <strong>FeOtotal</strong>: wt% <strong>MnO</strong>: wt% <strong>MgO</strong>: wt% <strong>CaO</strong>: wt% This research was funded by DFG grant EY 23/27-1.
description: {"references": ["Sch\u00f6nig, J.; von Eynatten, H.; Tolosana-Delgado, R.; Meinhold, G. (in press) Garnet major-element composition as an indicator of host-rock type: a machine learning approach using the random forest classifier. Contributions to Mineralogy and Petrology; .doi: 10.1007/s00410-021-01854-w"]}
DOI: 10.15468/h9eus7
title: A new species, new postabdominal descriptions and a new synonymy in Euphranta Loew (Diptera: Tephritidae: Trypetinae: Adramini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article David, K. J., Hancock, D. L., Sachin, K., Mahendiran, G. (2021): A new species, new postabdominal descriptions and a new synonymy in Euphranta Loew (Diptera: Tephritidae: Trypetinae: Adramini). Zootaxa 5057 (1): 87-98, DOI: https://doi.org/10.11646/zootaxa.5057.1.5
DOI: 10.25625/dwzdhu/eihnlo
title: molten.txt

description: :unav
DOI: 10.25625/dwzdhu
title: BODA

description: boda
DOI: 10.14278/rodare.1222
title: Block model of passive seismic shear velocity and airborne electromagnetic resistivity in the Geyer area, Erzgebirge, Germany

description: As a means of investigating the structure of the geological subsurface and delineating Sn-W-Li greisen-hosted mineral deposits in the Geyer-Ehrenfriedersdorf area, Central Erzgebirge, Germany, we collected an ambient noise dataset which was supplemented and analysed together with airborne time-domain electromagnetic data. The here presented dataset is a combined three-dimensional block model containing the following parameters: (X), (Y), (Z) – Coordinates of the block model center nodes in ETRS89 UTM33N coordinates. (PS_vel) – Shear wave velocity based on ambient noise data from a dense "LARGE-N" network comprising 400 low-power, short-period seismic stations tomographically inverted based on Bayesian statistics. (logVTEM_res) – Logarithm of resistivity based on airborne time-domain electromagnetic data acquired using the Geotech Versatile Time Domain (VTEM™ ET) system and inverted using a layered earth approach. (class_K-means) – Class labels of a spatially constrained clustering using K-means with 26 immediate neighbours performed on the bivariate velocity-resistivity 3D dataset.
description: Instruments for the seismic network were provided by the Geophysical Instrument Pool Potsdam (GIPP, GFZ), grant GIPP202010.
DOI: 10.14278/rodare.1221
title: Block model of passive seismic shear velocity and airborne electromagnetic resistivity in the Geyer area, Erzgebirge, Germany

description: As a means of investigating the structure of the geological subsurface and delineating Sn-W-Li greisen-hosted mineral deposits in the Geyer-Ehrenfriedersdorf area, Central Erzgebirge, Germany, we collected an ambient noise dataset which was supplemented and analysed together with airborne time-domain electromagnetic data. The here presented dataset is a combined three-dimensional block model containing the following parameters: (X), (Y), (Z) – Coordinates of the block model center nodes in ETRS89 UTM33N coordinates. (PS_vel) – Shear wave velocity based on ambient noise data from a dense "LARGE-N" network comprising 400 low-power, short-period seismic stations tomographically inverted based on Bayesian statistics. (logVTEM_res) – Logarithm of resistivity based on airborne time-domain electromagnetic data acquired using the Geotech Versatile Time Domain (VTEM™ ET) system and inverted using a layered earth approach. (class_K-means) – Class labels of a spatially constrained clustering using K-means with 26 immediate neighbours performed on the bivariate velocity-resistivity 3D dataset.
description: Instruments for the seismic network were provided by the Geophysical Instrument Pool Potsdam (GIPP, GFZ), grant GIPP202010.
DOI: 10.6084/m9.figshare.16866574
title: Tumor stemness OLCR

description: training dataset with known stemness information used to train this algorithm
DOI: 10.25646/9174
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.25721/webb-ex14
title: Papillon volé
DOI: 10.25721/58n9-hq93
title: Michel tu m'abandonnes
DOI: 10.25721/0wff-4v31
title: Tournons, tournons la queue du cochon
DOI: 10.25721/2p9h-zx09
title: Pouf, une pomme cachée derrière le tabouret
DOI: 10.25721/4tp9-8k14
title: Madeleine as-tu balayé la chambre ce matin
DOI: 10.25721/c82z-3741
title: Un samedi soir je disais à ma mère
DOI: 10.5281/zenodo.5596238
title: Europarl Direct Translationese Dataset

description: Monolingual and multilingual translationese corpora as described in the paper <strong>Do not Rely on Relay Translations: Multilingual Parallel Direct Europarl</strong><br> <em>Kwabena Amponsah-Kaakyire, Daria Pylypenko, Cristina España-Bonet, Josef van Genabith<br> In: 23rd Nordic Conference on Computational Linguistics. Workshop on Modelling Translation: Translatology in the Digital Age (MoTra-2021) May 31-June 2 Virtual Iceland Seiten 1-7 Linköping Electronic Conference Proceedings Association for Computational Linguistics 5/2021.</em> <strong>Single-source monolingual datasets:</strong><br> mono_de_en: text in DE with DE originals and translations from EN<br> mono_de_es: text in DE with DE originals and translations from ES<br> mono_en_de: text in EN with EN originals and translations from DE<br> mono_en_es: text in EN with EN originals and translations from ES<br> mono_es_de: text in ES with ES originals and translations from DE<br> mono_es_en: text in ES with ES originals and translations from EN <strong>Multisource monolingual datasets:</strong><br> mono_de_multisource: text in DE with DE originals and translations from EN, ES<br> mono_en_multisource: text in EN with EN originals and translations from DE, ES<br> mono_es_multisource: text in ES with ES originals and translations from DE, EN <strong>Multilingual datasets:</strong><br> multi3 - texts in DE, EN, ES with originals and translations from DE, EN, ES<br> multi8 - texts in DE, EL, EN, ES, FR, IT, NL, PT with originals and translations from DE, EL, EN, ES, FR, IT, NL, PT
description: This project is funded by the German Research Foundation (Deutsche Forschungsgemeinschaft) under grant SFB 1102: Information Density and Linguistic Encoding.
DOI: 10.5281/zenodo.5550430
title: Europarl Direct Translationese Dataset

description: Monolingual and multilingual translationese corpora as described in the paper <strong>Do not Rely on Relay Translations: Multilingual Parallel Direct Europarl</strong><br> <em>Kwabena Amponsah-Kaakyire, Daria Pylypenko, Cristina España-Bonet, Josef van Genabith<br> In: 23rd Nordic Conference on Computational Linguistics. Workshop on Modelling Translation: Translatology in the Digital Age (MoTra-2021) May 31-June 2 Virtual Iceland Seiten 1-7 Linköping Electronic Conference Proceedings Association for Computational Linguistics 5/2021.</em> <strong>Single-source monolingual datasets:</strong><br> mono_de_en: text in DE with DE originals and translations from EN<br> mono_de_es: text in DE with DE originals and translations from ES<br> mono_en_de: text in EN with EN originals and translations from DE<br> mono_en_es: text in EN with EN originals and translations from ES<br> mono_es_de: text in ES with ES originals and translations from DE<br> mono_es_en: text in ES with ES originals and translations from EN <strong>Multisource monolingual datasets:</strong><br> mono_de_multisource: text in DE with DE originals and translations from EN, ES<br> mono_en_multisource: text in EN with EN originals and translations from DE, ES<br> mono_es_multisource: text in ES with ES originals and translations from DE, EN <strong>Multilingual datasets:</strong><br> multi3 - texts in DE, EN, ES with originals and translations from DE, EN, ES<br> multi8 - texts in DE, EL, EN, ES, FR, IT, NL, PT with originals and translations from DE, EL, EN, ES, FR, IT, NL, PT
description: This project is funded by the German Research Foundation (Deutsche Forschungsgemeinschaft) under grant SFB 1102: Information Density and Linguistic Encoding.
DOI: 10.25721/6xd3-p723
title: "Le Palais Royal est un beau palais", chanson pour sauter à la corde
DOI: 10.25721/bfq4-8e66
title: "Château palais royal", chanson pour sauter à la corde
DOI: 10.25721/42tf-nj94
title: "Mini, maxi, midi", chanson pour sauter à la corde
DOI: 10.25721/v3w2-jm91
title: "La route express", chanson pour sauter à la corde
DOI: 10.15468/9vwg69
title: Revalidation and redescription of Serranus knysnaensis Gilchrist, 1904 (Perciformes: Serranidae) with a new distribution record

description: This dataset contains the digitized treatments in Plazi based on the original journal article Sithole, Yonela, Heemstra, Elaine, Mwale, Monica (2021): Revalidation and redescription of Serranus knysnaensis Gilchrist, 1904 (Perciformes: Serranidae) with a new distribution record. Zootaxa 5057 (1): 99-113, DOI: https://doi.org/10.11646/zootaxa.5057.1.6
DOI: 10.25721/606d-ns44
title: "La belle a perdu son mouchoir", chanson pour sauter à la corde
DOI: 10.25721/h1va-rq72
title: La voilà la jolie vigne
DOI: 10.25721/c5q5-2611
title: La santa, la santa
DOI: 10.25721/9jp9-vw83
title: Entrez-y dans la ronde
DOI: 10.15468/9ha8u4
title: Begonia lanuzaensis (sect. Petermannia, Begoniaceae) a new species from Surigao del Sur, Mindanao Island, Philippines

description: This dataset contains the digitized treatments in Plazi based on the original journal article Blasco, Freddie A., Rubite, Rosario R., Cortes, Junelito C., Alejandro, Grecebio Jonathan D. (2021): Begonia lanuzaensis (sect. Petermannia, Begoniaceae) a new species from Surigao del Sur, Mindanao Island, Philippines. Phytotaxa 523 (3): 203-207, DOI: 10.11646/phytotaxa.523.3.1
DOI: 10.15468/dbje8e
title: A new species of the processid shrimp genus Nikoides Paul’son, 1875 (Decapoda: Caridea) from Japan

description: This dataset contains the digitized treatments in Plazi based on the original journal article Komai, Tomoyuki, Hirabayashi, Isao (2021): A new species of the processid shrimp genus Nikoides Paul’son, 1875 (Decapoda: Caridea) from Japan. Zootaxa 5057 (1): 114-126, DOI: https://doi.org/10.11646/zootaxa.5057.1.7
DOI: 10.15468/d22x8u
title: Bitara gen. nov. of Tropiduchidae (Hemiptera: Fulgoromorpha) east of Wallace line

description: This dataset contains the digitized treatments in Plazi based on the original journal article Stroiński, Adam, Szwedo, Jacek (2021): Bitara gen. nov. of Tropiduchidae (Hemiptera: Fulgoromorpha) east of Wallace line. Zootaxa 5057 (1): 127-139, DOI: https://doi.org/10.11646/zootaxa.5057.1.8
DOI: 10.15468/c7hvgr
title: A new Cochylimorpha Razowski, 1959 (Lepidoptera: Tortricidae) from Altai and Tuva, Russia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Šumpich, Jan, Budashkin, Yuriy (2021): A new Cochylimorpha Razowski, 1959 (Lepidoptera: Tortricidae) from Altai and Tuva, Russia. Zootaxa 5057 (1): 140-144, DOI: https://doi.org/10.11646/zootaxa.5057.1.9
DOI: 10.34740/kaggle/dsv/2739888
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.16866706
title: Sleepstudy data

description: <b>TAKEN FROM R LME4 PACKAGE</b><b>Description </b><br>The average reaction time per day (in milliseconds) for subjects in a sleep deprivation study.<br>Days 0-1 were adaptation and training (T1/T2), day 2 was baseline (B); sleep deprivation started after day 2.<br><b>Format</b>180 observations on the following 3 variables:<br><b>Reaction</b>Average reaction time (ms)<b><br></b><b>Days</b>Number of days of sleep deprivation<br><b>Subject</b>Subject number on which the observation was made.
DOI: 10.34740/kaggle/dsv/2739932
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.16866751
title: A de novo genome assembly of cultivated Prunus persica cv. Sovetskiy

description: genome assembly of cultivated Prunus persica cv. Sovetskiy
DOI: 10.6084/m9.figshare.16866751.v1
title: A de novo genome assembly of cultivated Prunus persica cv. Sovetskiy

description: genome assembly of cultivated Prunus persica cv. Sovetskiy
DOI: 10.25721/cpn7-mw98
title: 32_01 - Organisation : correspondance; 1972 et 1974
DOI: 10.3886/e112202v1-99720
title: Survey of 484 Denver Homeless Individuals Regarding Public Health Consequences of Criminalization of Homelessness

description: This dataset includes responses from a community-based participatory research project conducted in collaboration between researchers at the University of Colorado Denver and Denver Homeless Out Loud, a community coalition with strong involvement of current and former people experiencing homelessness. This study was conducted with approval from the institutional review board at the University of Colorado Denver. <br>The 36 question survey of 484 persons experiencing homelessness focused on respondents' experiences with police in Denver, CO, and on their self-reported personal safety and health conditions.<br>The survey was conducted through the winter of 2018 and spring of 2019.<br><br> <br><br>
description: Response Rates: 86.5%<br>
description: The sampling frame consisted of people experiencing homelessness for more than six months in Denver, Colorado. Cluster respondents were selected from strategically chosen sites (e.g., shelters, soup kitchens, day services providers, immigrant day laborer centers, downtown parks, street corners, and homeless encampments) meant to ensure representativeness of the homeless population likely to spend time sleeping outdoors during the year. The survey was administered at different times of day at each location to a convenience sample of all respondents who were present at the time and willing to take the survey. <br><br><br><br><br>
description: Persons experiencing homelessness for more than six months in the previous year in the Denver, CO<br>. Smallest Geographic Unit: Denver, CO
description: on-site questionnaire;
DOI: 10.48370/ofd/y7cyjf
title: Neovossia moliniae (Thüm.) Körn., 4370

description: Fungarium Micromycetes
DOI: 10.48370/ofd/l3m78w
title: Neovossia moliniae (Thüm.) Körn., 3732

description: Fungarium Micromycetes
DOI: 10.25721/79ss-0285
title: Il est né le divin enfant
DOI: 10.15468/evmwsy
title: Morphology and phylogeny of Teratoramularia rumicis-a new foliar pathogen of Rumex crispus from India and diversity of Ramularioid complex on Rumex spp.

description: This dataset contains the digitized treatments in Plazi based on the original journal article Verma, Sanjeet Kumar, Kushwaha, Prakash, Yadav, Sanjay, Singh, Raghvendra (2021): Morphology and phylogeny of Teratoramularia rumicis-a new foliar pathogen of Rumex crispus from India and diversity of Ramularioid complex on Rumex spp. Phytotaxa 523 (3): 208-228, DOI: 10.11646/phytotaxa.523.3.2
DOI: 10.48370/ofd/vmtzqw
title: Neovossia moliniae (Thüm.) Körn., 4375

description: Fungarium Micromycetes
DOI: 10.25625/nwx23t/nzlzwt
title: all_new_LA_plots_ALS_metrics.tab

description: :unav
DOI: 10.25721/hwce-2018
title: Quadrille :  la valse, précédée par une information autobiographique et sur le quadrille par Monsieur Jules Vitalis
DOI: 10.6084/m9.figshare.16866817
title: LaminB1FLR2.q60.bam.bai

description: BAI inex file
DOI: 10.6084/m9.figshare.16866817.v1
title: LaminB1FLR2.q60.bam.bai

description: BAI inex file
DOI: 10.6084/m9.figshare.16866805
title: LaminB1FLR2.q60.bam

description: BAM files
DOI: 10.6084/m9.figshare.16866805.v1
title: LaminB1FLR2.q60.bam

description: BAM files
DOI: 10.25721/7zfs-a426
title: Le pantalon
DOI: 10.6084/m9.figshare.16825813
title: Annotation of genome assembly of cultivated Prunus persica cv. Sovetskiy

description: A gene function file describing the de novo predicted genes
DOI: 10.6084/m9.figshare.16825813.v2
title: Annotation of genome assembly of cultivated Prunus persica cv. Sovetskiy

description: A gene function file describing the de novo predicted genes
DOI: 10.6084/m9.figshare.16825813.v1
title: A de novo genome assembly of cultivated Prunus persica cv. Sovetskiy

description: A gene function file describing the de novo predicted genes
DOI: 10.5281/zenodo.5596270
title: Covid-19 CT dataset for Body Part Regression Tutorial

description: The dataset is a subset of CT scans from the Covid-19-AR dataset from the Cancer Image Archive. The data were converted from the DICOM file format to the NifTI file format for better and easier handling. The converted dataset was created for a tutorial of the bpreg python package. Acknowledgment:<br> The dataset was funded with federal funds from the National Center for Advancing Translational Sciences UL1 TR003107 and the National Cancer Institute, Contract No. 75N91019D00024, Subcontract 20X023F.
description: {"references": ["Desai, S., Baghal, A., Wongsurawat, T., Al-Shukri, S., Gates, K., Farmer, P., Rutherford, M., Blake, G.D., Nolan, T., Powell, T., Sexton, K., Bennett, W., Prior, F. (2020). Data from Chest Imaging with Clinical and Genomic Correlates Representing a Rural COVID-19 Positive Population [Data set]. The Cancer Imaging Archive. DOI: https://doi.org/10.7937/tcia.2020.py71-5978.", "Desai, S., Baghal, A., Wongsurawat, T., Jenjaroenpun, P., Powell, T., Al-Shukri, S., Gates, K., Farmer, P., Rutherford, M., Blake, G., Nolan, T., Sexton, K., Bennett, W., Smith, K., Syed, S., Prior, F. (2020). Chest imaging representing a COVID-19 positive rural U.S. population. Scientific Data. 2020;7(1):414. doi: https://doi.org/10.1038/s41597-020-00741-6.", "Jenjaroenpun, P., Wanchai, V., OnoMoore, K.D., Laudadio, J., James, L.P., Adams, S.H., Prior, F., Nookaew, I., Ussery, D.W., Wongsurawat, T. (2020). Two SARS-CoV-2 genome sequences of isolates from rural U.S. patients harboring the D614G mutation, obtained using Nanopore sequencing. Microbiology Resource Announcements, 2020. DOI: 10.1128/MRA.01109-20.", "Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7"]}
DOI: 10.5281/zenodo.5596269
title: Covid-19 CT dataset for Body Part Regression Tutorial

description: The dataset is a subset of CT scans from the Covid-19-AR dataset from the Cancer Image Archive. The data were converted from the DICOM file format to the NifTI file format for better and easier handling. The converted dataset was created for a tutorial of the bpreg python package. Acknowledgment:<br> The dataset was funded with federal funds from the National Center for Advancing Translational Sciences UL1 TR003107 and the National Cancer Institute, Contract No. 75N91019D00024, Subcontract 20X023F.
description: {"references": ["Desai, S., Baghal, A., Wongsurawat, T., Al-Shukri, S., Gates, K., Farmer, P., Rutherford, M., Blake, G.D., Nolan, T., Powell, T., Sexton, K., Bennett, W., Prior, F. (2020). Data from Chest Imaging with Clinical and Genomic Correlates Representing a Rural COVID-19 Positive Population [Data set]. The Cancer Imaging Archive. DOI: https://doi.org/10.7937/tcia.2020.py71-5978.", "Desai, S., Baghal, A., Wongsurawat, T., Jenjaroenpun, P., Powell, T., Al-Shukri, S., Gates, K., Farmer, P., Rutherford, M., Blake, G., Nolan, T., Sexton, K., Bennett, W., Smith, K., Syed, S., Prior, F. (2020). Chest imaging representing a COVID-19 positive rural U.S. population. Scientific Data. 2020;7(1):414. doi: https://doi.org/10.1038/s41597-020-00741-6.", "Jenjaroenpun, P., Wanchai, V., OnoMoore, K.D., Laudadio, J., James, L.P., Adams, S.H., Prior, F., Nookaew, I., Ussery, D.W., Wongsurawat, T. (2020). Two SARS-CoV-2 genome sequences of isolates from rural U.S. patients harboring the D614G mutation, obtained using Nanopore sequencing. Microbiology Resource Announcements, 2020. DOI: 10.1128/MRA.01109-20.", "Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7"]}
DOI: 10.25721/7zcd-6c34
title: La Poule